# Description This dataset describes how datasets published in the research data repository RADAR are referenced, combining references extracted from Google Scholar, DataCite Event Data and the Data Citation Corpus. DOIs assigned to RADAR datasets were retrieved from the RADAR API 2025-01-27. References in the three data sources were then identified using these DOIs. Each research output referencing a RADAR dataset was accessed to determine where the reference occurred in the full text. Author names and publication dates for datasets and referencing objects were added from OpenAlex and DataCite on 2025-02-10. Author names of datasets and referencing objects were compared to determine if data reuse occurred. ## Columns - **from:** DOI of the referencing object - **to:** DOI of the RADAR dataset - **from_date:** publication date of the referencing object - **to_date:** publication date of the RADAR dataset - **source_gs:** boolean indicating if the reference was found in Google Scholar - **source_dcc:** boolean indicating if the reference was found in the Data Citation Corpus - **source_ded:** boolean indicating if the reference was found in DataCite Event Data - **method_rl:** boolean indicating if the dataset was referenced in the reference list - **method_das:** boolean indicating if the dataset was referenced in the data availability statement - **method_fn:** boolean indicating if the dataset was referenced in a footnote - **method_ft:** boolean indicating if the dataset was referenced in other parts of the full text, for example in the methods section - **reuse_author:** variable indicating if the reference is indicating data (overlap in the author names of dataset and referencing object) use or data reuse (no overlap)
Referenzierung von Forschungsdatenpublikationen in RADAR
Leibniz Institute for Farm Animal Biology (FBN), Wilhelm-Stahl-Allee 2, 18196 Dummerstorf, Germany
Leibniz Institute for Farm Animal Biology (FBN)
The study tested the effects of conjugated linoleic acid (CLA) and essential fatty acid (EFA) infusion on glucose metabolism and the somatotropic axis in dairy cows around calving. Supplementation with CLA and the combination of CLA with EFA resulted in elevated plasma glucose but decreased glucose production and stimulation of the somatotropic axis after calving. EFA treatment enhances glucose production but inhibits hepatic mRNA abundance related to gluconeogenesis.
α-linolenic acid, conjugated linoleic acid, glucose metabolism, somatotropic axis
Supplementary data to publication "Glucose metabolism and the somatotropic axis in dairy cows after abomasal infusion of essential fatty acids together with conjugated linoleic acid during the time of calving"
Ad libitum MR-fed calves vary in their feeding behavior and individual feed intake during the preweaning period. This study intended to classify ad libitum MR-fed calves according to their individual voluntary MR intake using a clustering approach. Analysis allowed discriminating two groups of calves with different MR meal size (HIGH; 2.2 ± 0.11 L MR/visit; LOW; 1.8 ± 0.07 L MR/visit). Differences in feeding behaviors were linked to growth performance and metabolic changes.
calf, cluster analysis, ad libitum feeding
Supplementary data to publication "Effects of milk replacer (MR) meal size on feed intake, growth performance, and blood metabolites and hormones of calves fed MR with or without butyrate ad libitum: A cluster-analytic approach"
This study investigated the transfer of essential fatty acid (EFA) and conjugated linoleic acid (CLA) to calves, whose dams were supplemented with EFA and CLA during late gestation and early lactation. Maternal EFA and CLA supplementation increased the respective fatty acids in calf plasma to a greater extent on d 5 of life than on d 1 before colostrum feeding and affected colostrum composition but did not affect calf performance.
essential fatty acids, conjugated linoleic acid, maternal fatty acid status, neonate
Supplementary data to publication "Modulation of colostrum composition and fatty acid status in neonatal calves by maternal supplementation with essential fatty acids and conjugated linoleic acid starting in late lactation"
Leibniz-Institut für Nutztierbiologie (FBN), Wilhelm-Stahl-Allee 2, 18196 Dummerstorf, Germany
Institut für Genetik und Biometrie, Leibniz-Institut für Nutztierbiologie (FBN)
This is a data publication hosted by the research data repository RADAR.
Mouse High Fecundity Advanced Intercross Data I: Phenotypes, Pedigree and Founder Genotypes
Research Institute for Farm Animal Biology (FBN)
Mendelian sampling variability (MSV), determined by the heterozygosity and linkage phases of the parental haplotypes, quantifies the chance of producing offspring with high breeding values. Recent genomic selection criteria combine expected breeding values with MSV to maximize the chance of producing offspring with exceptional breeding values. These criteria, however, tend to select similar parents with high variability potential. Therefore, a measure of haplotype similarity is required to avoid this tendency and preserve diversity. Here, we derive this measure by pairing all potential gametes from two parents based on their segregating marker patterns. Subsequently, a similarity measure between two parents is defined as the absolute value of the covariance between the additive values of the paired gametes on a chromosome. A similarity matrix with absolute covariances as off-diagonal elements and MSVs as diagonal elements summarizes all pairwise similarities between parents. A parent’s similarity to itself equals its MSV. High similarity indicates that the parents share many heterozygous markers with large effects on a trait in the same linkage phase. The concept generalizes to multiple chromosomes, an aggregate genotype with multiple traits, and similarity between zygotes. We demonstrated the properties of the similarity matrix using empirical data. Through simulations, we showed that incorporating the matrix into genomic selection preserves up to 1630% more genetic variability and yields up to 7% more genetic gain relative to index selection in the long term. Although further research is needed, our results suggest that including similarity matrices preserves haplotype diversity and improves long-term genomic selection.
Bundesanstalt für Landwirtschaft und Ernährung
A similarity matrix for preserving haplotype diversity - supplementary material
In Hampel et al. (2018, Fron Genet), we proposed an advanced method for the estimation of paternal recombination rate and maternal linkage disequilibrium between pairs of SNPs if genotypes of paternal half sibs were available. To show practical usability of the approach, empirical bovine data comprising several half-sib families have been investigated. However, the outcome of our method strongly depended on the order of SNPs. For instance, candidates of putatively misplaced SNPs were identified if recombination rate between close SNPs was unusually high. Since the bovine genome assembly has been updated to its current version ARS-UCD1.2, it was necessary to re-analyse the data. The parameter estimates as well as the input data are now jointly available from this repository. More details about the methodology can be found in Hampel et al. (2018, Fron Genet), https://doi.org/10.3389/fgene.2018.00186.
Federal Ministry of Education and Research (BMBF)
SNP, recombination rate, linkage disequilibrium
Updated results to publication “Estimation of Recombination Rate and Maternal Linkage Disequilibrium in Half-Sibs” (Fron Genet)
The study of selection signatures helps to find genomic regions that have been under selective pressure and might host genes or variants that modulate important phenotypes. Such knowledge improves our understanding of how breeding programmes have shaped the genomes of livestock. In this study, 942 stallions were included from four, exemplarily chosen, German warmblood breeds with divergent historical and recent selection focus and different crossbreeding policies: Trakehner (N=44), Holsteiner (N=358), Hanoverian (N=319) and Oldenburger (N=221). Blood samples were collected during the health exams of the stallion preselections before licensing and were genotyped with the Illumina EquineSNP50 BeadChip. Autosomal markers were used for a multi-method search for signals of positive selection. Analyses within and across breeds were conducted by using the integrated Haplotype Score (iHS), cross-population Extended Haplotype Homozygosity (xpEHH) and Runs of Homozygosity (ROH). Oldenburger and Hanoverian showed very similar iHS signatures, but breed specificities were detected on multiple chromosomes with the xpEHH.
German Federal Ministry for Education and Research (BMBF) (Grant No. 031513)5B)
selection signatures, animal population genetics, horse
Supplemental data to publication "Selection signatures in four German warmblood horse breeds: tracing breeding history in the modern sport horse" (PLOS ONE)
State-Office for Geo-Information and Rural Development, Geodata-Center
Three files with p-values for each marker and five traits are provided. Each file contains p-values for one of three different hypotheses were tested for each trait, marker association with i) imprinting effects, with ii) transmitting abilities as sires and with iii) transmitting abilities as dams. Estimates for imprinting effects (parent-of-origin effects), transmitting abilities as sires and as dams were derived from a population analysis of salughterhouse data from Brown Swiss fattenening bulls by applying an appropriate mixed model that accounts for paternal and maternal imprinting simultanously. For more information see the detailed data description and the accompanying publication.
genomic imprinting; parent-of-origin effects; genome-wide association study; body composition traits; growth traits; cattle
Result files – Scanning the genomes of parents for imprinted loci acting in their un-genotyped progeny
Institute of Genetics and Biometry, Leibniz-Institute for Farm Animal Biology (FBN)
Example programs are presented that can be used to compute expected relationships in a two-way cross where the founders have been genotyped. Theory is described in very detail in the article of Meng et al. "Turning Observed Founder Alleles into Expected Relationships in an Intercross Population", published in G3: Genes, Genomes, Genetics (2019 vol. 9 no. 3 889-899) and accessible under https://doi.org/10.1534/g3.118.200752 . Together with the programs example data are provided. A further detailed description is given in the readme-file that is included.
relationship matrix, expected relationships, founder relationships
Turning observed founder alleles into expected relationships - example programs
The guide to practical application of generalized gametic relationships has three main parts. The first is the source code (Fortran2015) of a program for setting up the inverse of a generalized gametic relationship matrix from pedigree data, a detailed program description and example input and output files. In the second part six worked examples are presented, demonstrating in very detail how various mixed models with generalized gametic relationship matrices can be implemented using the ASReml package. Each example is accompanied by R-code to check model details and the correctness of the ASReml implementation. Finally a large mouse data set (about 13,000 observations on body weight, 153 generations) is provided together with details on how it can be analyzed with different gametic models using ASReml.
parent-of-origin effects, genomic imprinting, gametic relationship matrix, genomic selection, mixed models
Generalized gametic relationships - a guide to practical implementation
University of Missouri, Division of Animal Sciences
Research Institute for Farm Animal Biology (FBN), Wilhelm-Stahl-Allee 2, 18196 Dummerstorf, Germany
Population genetic metrics help to evaluate the genomic map coordinates of the SNP markers sited on SNP genotyping arrays. A three-step approach combining the recombination and linkage disequilibrium (LD) analyses was applied to the Illumina Bovine SNP50 genotyping array in a large pedigree of Holstein cattle consisting of 367,056 animals distributed in 1,053 half-sib families to investigate if the markers fit into the assigned physical map coordinates. A panel of 65 markers was suggested as misplacement candidates. Results of both recombination and LD analyses for each candidate marker are presented. List of marker names and coordinates within 30 refined problematic regions are supplemented. This data is associated with a publication in Animal Genetics (Qanbari et al. 2022).
Bundesministerium für Bildung und Forschung (BMBF)
misplaced SNP, recombination rate, linkage disequilibrium
Supplemental data to publication "Evidence of Rare Misassemblies in the Bovine Reference Genome Revealed by Population Genetic Metrics" (Animal Genetics)
Simulated data for genomic evaluations in breeding populations
A simulation study has been conducted to analyse the association between genetic and phenotypic variation with grouped penalization approaches. The study design resembles a breeding population consisting of several half-sib families which is typical, for example, in livestock or crop. Genotypes and phenotypes have been simulated with publicly available software. Two strategies have been followed to generate genetic effects captured by markers: effects have been sampled independently (option a) or in groups (option b). The dataset includes a detailed description of the simulation design and comprises phased genotypes of parents and progeny, progeny phenotypes and marker effect sizes. The simulation has been repeated 100 times.
SNP marker, genomic selection, statistical genetics, linkage disequilibrium
Supplemental data to publication "A Fitted Sparse-Group Lasso for Genome-Based Evaluations"
A simulation study has been conducted to analyse the association between genetic and phenotypic variation in livestock. Following the density and distribution of single nucleotide polymorphisms (SNPs) on the Illumina BovineSNP50 chip, 52,773 SNPs were simulated on the cattle genome of 30 Morgan length. Several generations of random mating were executed in which random recombination events according to the genetic distance between SNPs and random mutation of SNP alleles were considered. In the most recent generations, 50 sires were mated to 20 dams in order to generate multiple half-sib families. The data were split into training (n=2,000) and validation/testing set (n=2,000). Twenty-three SNPs were randomly preselected to be the causative variants, and additive, dominance and epistatic effects were simulated. Two different traits were achieved by adding different residual error terms to the sum of genetic effects, such that the total genetic variation contributed either 30% or 50% to the phenotypic variation. Then, 5,227 SNPs (every 10-th SNP including the causative variants) were selected. The simulation was repeated 100 times. More details can be found in Wittenburg et al. (2011) Including non-additive genetic effects in Bayesian methods for the prediction of genetic values based on genome-wide markers. BMC Genetics 12:74, https://doi.org/10.1186/1471-2156-12-74
SNP, dominance, epistasis, recombination, genetic variation
Supplementary data to publication “An approximate Bayesian significance test for genomic evaluations” (Biom J)
data and codes for publication Tang et al 2019
Data_dwnld_F1_20180828 Folder containing the MPD projects that were downloaded on 28.8.2018 from MPD and then used for the analyses described in our manuscript. Results from pairwise comparison of each strain with C57BL/6J as reference File: DetailedResults_Including_MP_terms_Hamed_291018_hko_301118_ohne Filter.xlsx
Collaborative Cross, German Mouse Clinics, Mouse Phenotyping Database, MPD, CC
Helmholtz Centre for Infection Research, Braunschweig/Germany
Xylariales (Ascomycota) is a fungal order comprising, inter alia, the large families Hypoxylaceae and Xylariaceae, known as particularly prolific producers of (bioactive) natural products in mycelial cultures and stromata. Recent genome analyses of model fungi revealed a large discrepancy between numbers of predicted biosynthetic gene clusters (BGCs) and known secondary metabolite (SM) classes. Finding the right triggers to induce these “silent” BGCs is therefore expected to substantially expand the known chemodiversity in Xylariales. In the overarching project of this work, 14 high-quality genome sequences from members of Xylariales were obtained, allowing for in-depth studies of their biosynthetic machineries. This work is dedicated to investigating the SMs of Xylariales and establishing the link to the underlying BGCs. A coordinated screening of mycelial cultures of eleven species with available genome data was conducted to define the limitations of a “classical” approach to induce silent BGCs. Moreover, stromata of the widespread European species Hypoxylon fragiforme and H. rubiginosum were investigated for novel azaphilone SMs and their biosynthesis studied using the generated high-quality genomes. In parallel, three rare, unstudied species of Xylariales were investigated in a classical screening approach and characterised for novel SMs. The coordinated screening approach yielded a valuable HPLC−MS dataset that can be used to link BGCs to analytical data. However, the approach was found to induce an unexpectedly low number of clusters. This proved that even elaborate screenings, which go beyond common approaches in natural product research, are unable to activate the majority of silent BGCs. Biosynthetic methods such as heterologous expression are able to overcome this challenge, but were beyond the scope of this work. Therefore, the biosynthesis has been investigated by genome mining on the constitutively-produced azaphilone pigments from H. fragiforme and H. rubiginosum stromata. Isolation efforts yielded 17 novel azaphilones with varying bioactivities, of which the fragirubrins and heterodimeric hybridorubrins constitute novel subclasses. Genome data of H. fragiforme revealed two distantly-located BGCs to collaboratively produce the known azaphilone diversity. In H. rubiginosum, three BGCs were found to produce a single class of SMs, which is unprecedented in fungi. In parallel, mycelial cultures of the fungicolous H. invadens produced known flaviolin naphthalenes, while two novel sesquiterpenoids and a number of chemotaxonomic marker compounds were obtained from the pyrophilic Stromatoneurospora phoenix. Stromata of Annulohypoxylon viridistratum yielded three novel benzo[ j ]fluoranthenes, which showed antimicrobial and cytotoxic activities and are chemotaxonomic markers. Summary 11 To conclude, this work revealed the intricate machinery of azaphilone biosynthesis in H. fragiforme and H. rubiginosum and characterised unprecedented azaphilone congeners. It was also found that even elaborate screening approaches are limited in the chemical diversity they can deliver. What is more, the overarching project of this work revealed hundreds of unassignable BGCs in the genome data of only 14 species from Xylariales. Thus, this work demonstrates the need for future characterisation of SM biosynthesis, as well as the chemical ecology of selected species of the Xylariales.
Abbreviations 2 List of figures 4 List of tables 5 List of publications 6 Contribution to publications 7 Summary 10 1. Introduction 12 1.1. The fungal order Xylariales 12 1.2. Chemical diversity and bioactivity of secondary metabolites from Xylariales 13 1.3. Biosynthesis research on secondary metabolites from Xylariales 22 1.4. Aims of the thesis 27 2. Materials and methods 30 2.1. Medium-scale screening for secondary metabolites 30 2.1.1. Fungal material and cultivation 30 2.1.2. Harvest of cultures and preparation of crude extracts 32 2.1.3. HPLC−DAD/MS analysis for dereplication and identification of novel secondary metabolites 33 2.1.4. Agar-diffusion assay for evaluation of antimicrobial activity 33 2.2. Scale-up of selected fungal cultures 34 2.3. Preparative extraction and isolation of secondary metabolites 35 2.4. Structure elucidation of pure compounds 36 3. Results and discussion 38 3.1. Secondary metabolites from species of Xylariales and correlation to biosynthetic gene clusters 38 3.1.1. Medium-scale screening for secondary metabolites [II] 38 3.1.2. Chemistry, bioactivity, and biosynthesis of azaphilones from stromata of Hypoxylon fragiforme and H. rubiginosum [I, VI, VII] 43 3.2. Secondary metabolites from rare and ecologically interesting species of Xylariales 56 3.2.1. Secondary metabolites from mycelial cultures of the fungicolous Hypoxylon invadens [III] 56 3.2.2. Secondary metabolites from mycelial cultures of the pyrophilic Stromatoneurospora phoenix [IV] 58 3.2.3. Stromatal constituents of Annulohypoxylon viridistratum [V] 60 4. Conclusions and outlook 62 5. References 70 6. Appendices: publications of this dissertation 86 I. Identification of fungal fossils and novel azaphilone pigments in ancient carbonised specimens of Hypoxylon fragiforme from forest soils of Châtillon-sur-Seine (Burgundy) 88 II. Investigating the function of cryptic cytochalasan cytochrome P450 monooxygenases using combinatorial biosynthesis 102 III. Phylogenetic assignment of the fungicolous Hypoxylon invadens (Ascomycota, Xylariales) and investigation of its secondary metabolites 108 IV. Phylogenetic and chemotaxonomic studies confirm the affinities of Stromatoneurospora phoenix to the coprophilous Xylariaceae 124 V. Viridistratins A−C, antimicrobial and cytotoxic benzo[j]fluoranthenes from stromata of Annulohypoxylon viridistratum (Hypoxylaceae, Ascomycota) 146 VI. Hybridorubrins A−D, novel azaphilone heterodimers from stromata of Hypoxylon fragiforme and insights into the biosynthetic machinery for azaphilone diversification 158 VII. Azaphilone pigments from Hypoxylon rubiginosum and H. texense: absolute configuration, bioactivity, and biosynthesis 172 VIII. Recent progress in biodiversity research on the Xylariales and their secondary metabolism 182
Ascomycetes, azaphilones, bioactivity, fungi, Hypoxylaceae, naphthalenes, natural products, secondary metabolites, Xylariaceae, Xylariales
Identification of novel bioactive natural products from species of Xylariales V2
Paul Beckus (Digitalisate), Archivbestände des angegebenen Archives
Martin Luther University Halle-Wittenberg
Beschreibung: Im Rahmen des DFG-Projektes “Geistlicher Stand oder Sinekure? Die protestantischen Domherren vom Westfälischen Frieden bis zum Ende der Napoleonischen Ära (1648–1815)” wurden von Paul Beckus erhebliche Teile der archivalischen Überlieferung der Domkapitel digitalisiert. Diese Digitalisate erfolgte mittels Digitalkamera und wurden in den Landes- und teils auch den noch bestehenden Domarchiven erstellt. Die Digitalisate werden im Rahmen des vorliegenden Projektes zur Langzeitarchivierung gesichert und der Öffentlichkeit zugänglich gemacht. Es handelt sich um wesentliche Teile der Archivüberlieferung der protestantischen und gemischtkonfessionellen Domkapitel, die 1648 noch bestanden und teils noch bis über das Jahr 1815 fortexistieren. Die Quellen wurden überwiegend seriell fotografiert, können aber keinen Anspruch auf Vollständigkeit erheben. Sie beinhalten überwiegend Urkunden, Akten und Protokolle zu Aufnahme und Ausscheiden der Domherren sowie der inneren Verwaltung der Domkapitel, ihres Kontakts zu den Administratoren und den Institutionen des Alten Reiches.
LASH Abt. 260 Nr. 28: Differenzen des Domkapitels mit dem kaiserlichen Hofe wegen der jedesmaligen Abordnung eines kaiserlichen Kommissars bei der vorzunehmenden Wahl des Bischofs oder Koadjutors im Hochstift Lübeck und wegen der verlangten jedesmaligen Nachsuchung der Konfirmation über die getroffene Wahl, ferner die Resignation des Prinzen Peter Friedrich Wilhelm auf seine Koadjuterie, die Wahl des Herzogs Peter Friedrich Ludwig zum Koadjutor und dessen Wahlkapitulation 1776
Historisches Datenzentrum Sachsen-Anhalt
LASH Abt. 260 Nr. 2130: Regierung Eutin: Differenzen wegen Ausnahmebewilligungen (Dispensationsdifferentien) mit dem Domkapitel zu Lübeck in durch göttliches Gesetz vorgeschriebenen Schritten (in gradibus lege divina haut prohibitis)
LASH Abt. 268 Nr. 15: Distinktpräbende des Gesandten in Regensburg, Konferenzrat von Koch
Das Biografienportal Sachsen-Anhalt versammelt in Erst- und Zweitveröffentlichung oder zu Zwecken der Langzeitarchivierung Biografien von Menschen aus und in Sachsen-Anhalt. Integriert wurde der Catalogus Professorum Halensis, der durch Mitarbeitende des Instituts für Geschichte der Martin-Luther-Universität Halle-Wittenberg entstand. Dabei handelt es sich um ein bio-bibliografisches Online-Lexikon zu den Professoren der Universität Halle zwischen 1694 und 1968. Die Texte wurden vor allem von Henrik Eberle und anderen Mitarbeitenden zwischen 2005 und 2010 recherchiert und erstellt. Etliche Artikel zum Zeitraum 1694 bis 1817 verfasste Julia Schopferer. Bei der Überführung in das Biografienportal wurden die Lebensangaben neu recherchiert und Metadaten über Verfahren des Named Entity Recogniton erschlossen. Automatisiert erkannt wurden Personennamen, Ortsbezeichnungen und Körperschaften, die in der hier vorhandenen RTF-Datei indexiert vorliegt. Zudem wurden diese mit GND-Einträgen abgeglichen. Weiterhin erfolgte ein Abgleich mit der „Ontologie der historischen, deutschsprachigen Amts- und Berufsbezeichnungen“. Die Texte liegen im Jahr 2024 in zweifacher Ausgabe im Catalogus Professorum Halensis des Universitätsarchivs und des Biografienportals des Historischen Datenzentrums Sachsen-Anhalts vor. Sie werden hier für die Langzeitarchivierung der ursprünglichen Fassung archiviert.
Ministerium für Infrastruktur und Digitales des Landes Sachsen-Anhalt
Martin-Luther-Universität Halle-Wittenberg | Halle (Saale); Wittenberg
Universität Halle (Saale) | Halle (Saale)
LASH Abt. 260 Nr. 47: Verhandlungen wegen der beabsichtigten Besitznehmung des Bistums Lübeck durch den Prinzen Carl von Dänemark nach dem Tode des Bischofs Christian August
Eißfeldt, Otto | 1887–1973 | Religionswissenschaftler; Evangelischer Theologe; Hochschullehrer; Alttestamentler
Institut für Landesgeschichte (Sachsen-Anhalt)
LASH Abt. 268 Nr. 436: Protokollum rev. capituli Lubicensis: Band 33
LASA, A 14, Nr. 129: Mit dem Domkapitel zu Hildesheim geführte Korrespondenz in puncto der neuen Stiftsverfassung
LASA, A 14, Nr. 291: Majorpräbende des Herrn von Hertefeld
Im Rahmen des DFG-Projektes “Geistlicher Stand oder Sinekure? Die protestantischen Domherren vom Westfälischen Frieden bis zum Ende der Napoleonischen Ära (1648–1815)” wurden von Paul Beckus erhebliche Teile der archivalischen Überlieferung der Domkapitel digitalisiert. Diese Digitalisate erfolgte mittels Digitalkamera und wurden in den Landes- und teils auch den noch bestehenden Domarchiven erstellt. Die Digitalisate werden im Rahmen des vorliegenden Projektes zur Langzeitarchivierung gesichert und der Öffentlichkeit zugänglich gemacht. Es handelt sich um wesentliche Teile der Archivüberlieferung der protestantischen und gemischtkonfessionellen Domkapitel, die 1648 noch bestanden und teils noch bis über das Jahr 1815 fortexistieren. Die Quellen wurden überwiegend seriell fotografiert, können aber keinen Anspruch auf Vollständigkeit erheben. Sie beinhalten überwiegend Urkunden, Akten und Protokolle zu Aufnahme und Ausscheiden der Domherren sowie der inneren Verwaltung der Domkapitel, ihres Kontakts zu den Administratoren und den Institutionen des Alten Reiches.
LASA, A 13, Nr. 1135, Die in mense capituli vakant gewordenen Präbenden bei dem Domstift zu Halberstadt
Gutzeit, Ernst | 1863–1927 | Agrarwissenschaftler; Hochschullehrer; Lebensmittelchemiker
Freudl, E. | 1875–1951 | Landwirt; Pflanzenzüchter; Agrarwissenschaftler
Abderhalden, Emil | 1877–1950 | Chemiker; Biologe; Physiologe; Biochemiker; Hochschullehrer
Eltzbacher, Paul | 1868–1928 | Jurist; Volkswirt; Sozialwissenschaftler
Collitz, Hermann | 1855–1935 | Linguist; Germanist; Philologe
Fries, Wilhelm | 1845–1928 | Pädagoge; Latinist; Hochschullehrer; Schulleiter; Gymnasiallehrer
LASA, A 14, Nr. 283: Zwischen dem Domdechanten von Busch und Senior von Leerodt entstandene Streitigkeit wegen der Senioratrevenuen
Achelis, Hans | 1865–1937 | Kirchenhistoriker; Archäologe; Theologe
LASA, A 14, Nr. 279: Legitimation des Grafen von Wartenberg und Aszension des Herrn von Wylich
Dabelow, Christoph Christian von | 1768–1830 | Jurist; Hochschullehrer
Gutzmer, August | 1860–1924 | Mathematiker; Hochschullehrer; Rektor
Das Domkapitel zu Lübeck, insbesondere Nachrichten über die Bischofswahl, die Prälatur der Herzöge zu Holstein und die Dekanatskapitulation
LASH Abt. 260 Nr. 7: Das Domkapitel zu Lübeck, insbesondere Nachrichten über die Bischofswahl, die Prälatur der Herzöge zu Holstein und die Dekanatskapitulation
LASH Abt. 260 Nr. 18: Wahl des Herzogs Christian August zum Koadjutor und künftigen Bischof im Hochstift Lübeck
LASH Abt. 260 Nr. 2129: Regierung Eutin: Wahl des Dechanten von 1712
LASH Abt. 260 Nr. 2120: Regierung Eutin: Lübsche Dompropsten
LASA, U 5, XVI Nr. 41: (Domkapitel zu Halberstadt)
Frese, Otto | 1871–1955 | Arzt; Schiffsarzt; Militärarzt; Hochschullehrer
LASH Abt. 260 Nr. 22: Stiftsregierung in Abwesenheit des Bischofs Adolph Friedrich im Hochstift Lübeck
Ebbinghaus, Hermann | 1850–1909 | Psychologe; Philosoph; Hochschullehrer
Freyberg, Bruno von | 1894–1981 | Geologe; Paläontologe; Wissenschaftshistoriker; Hochschullehrer
Grenacher, Hermann | 1843–1923 | Zoologe
Historische Filmaufnahme des Privatarchivs Hermann Klaetsch und Erna Theilig
Der Film spielt etwa zwischen Februar und April 1944, nimmt aber auch Szenen aus ca. Oktober 1944 und Juni 1945 auf. Er zeigt zunächst die Kinder beim Spiel mit ihren Puppen, dann die hochschwangere Mutter und die Vorbereitung der Familie auf die Geburt der jüngsten Tochter. Aus der Zeit nach der Geburt folgen Bilder von der Körperpflege des Kindes, vom Stillen, vom Liegen in Bett und Kinderwagen sowie andere Szenen des Kleinkindalters. Weitere Szenen zeigen das Füttern von Gisela mit ca. sechs Monaten sowie nach mehr als zwölf Monaten. Hier wird der Haushalt und die Innenausstattung des Hauses im Ackerweg der Gartenstadt Halle (Saale), später auch der Gartenbereich gezeigt. Der Schwarzweiß-Stummfilm besitzt eine Länge von 12:32 Minuten.
Sammlung Familie Hermann Klaetsch (1903-1965) und Erna Theilig (1905-1991)
Klaetsch, Hermann | 1903–1965 | Steuerberater
Büchner, Andreas Elias | 1701–1769 | Arzt; Physiker; Hochschullehrer
Grouven, Karl | 1872–1936 | Arzt; Hautarzt; Militärarzt; Hochschullehrer
Droysen, Gustav | 1838–1908 | Historiker; Hochschullehrer
LASH Abt. 268 Nr. 432: Protokollum rev. capituli Lubicensis: Band 29
LASH Abt. 268 Nr. 542: Chronologischer Index zu den Bänden 35-42 des Kapitels-Protokolle (Nr. 438-445)
Grimm, Wilhelm | 1786–1859 | Philologe; Germanist; Schriftsteller; Jurist; Bibliothekar; Literaturwissenschaftler
Fitting, Hermann | 1831–1918 | Jurist; Hochschullehrer
Aner, Karl | 1879–1933 | Theologe; Hochschullehrer; Pfarrer
Grasshoff, Kurt | 1911– | Lehrbeauftragter
Zeitraum: Gesamtlaufzeit 1713 - 1756 , vermutlich die ersten Jahre davon
LASA, A 14, Nr. 263, Bd. I: Vom König erteilte Expektanzen und Kollationspatente
Brachmann, Wilhelm | 1900–1989 | Evangelischer Theologe; Religionswissenschaftler; Pfarrer; Nationalsozialist
Gebhardt, Walter | 1870–1918 | Arzt; Anatom
Eger, Karl | 1864–1945 | Evangelischer Theologe; Pfarrer; Kirchenrat; Hochschullehrer
Dehn, Günther | 1882–1970 | Evangelischer Theologe; Exeget; Hochschullehrer
LASH Abt. 268 Nr. 541: Chronologischer Index zu den Bänden 22-34 des Kapitels-Protokolle (Nr. 425-437)
LASH Abt. 268 Nr. 419: Protokollum rev. capituli Lubicensis
LASA, A 14, Nr. 260: Aszension des Herrn von Buchholz und was ratione saltus nach dem Vergleich von 1662 und 1675 dabei vorgekommen
Brauns, David | 1827–1893 | Geologe; Arzt; Schriftsteller; Forschungsreisender
LASH Abt. 268 Nr. 410: Protocollum causarum capitularium ecclesie Lubicensis
LASH Abt. 268 Nr. 31: Abwesenheits-Anzeigen von Domherren zu Lübeck
Gericke, Wolfgang | 1914–1993 | Pfarrer; Evangelischer Theologe; Kirchenhistoriker
Gloege, Gerhard | 1901–1970 | Theologe; Priester
LASH Abt. 268 Nr. 39: Domherrenverzeichnisse
Franz, Karl | 1870–1926 | Arzt; Gynäkologe; Redakteur
LASA, A 14, Nr. 257: Vom König konferierte Präbenden und Kollationspatente
LASA, A 14, Nr. 247: Emanzipations- und Possessionsscheine
Eickschen, Karl | 1901–1958 | Geschäftsführer; Betriebswirt; Landwirt; Lehrer; Hochschullehrer
Bonnet, Hans | 1887–1972 | Ägyptologe; Hochschullehrer
Bergener, Johann Carl Erdmann | 1770–1813 | Arzt
Dittenberger, Wilhelm | 1840–1906 | Klassischer Philologe
Cassebohm, Johann Friedrich | 1700–1743 | Arzt
Brückner, Eduard | 1862–1927 | Geograf; Klimatologe; Hochschullehrer; Geologe; Mineraloge
Boeminghaus, Hans | 1893–1979 | Urologe; Arzt; Chirurg; Hochschullehrer
LASA, A 14, Nr. 110: Alter der Herren Präbendaten, deren Qualifikation, und ob sie wider ihren Willen angehalten werden können, possesionem fructi feram anzutreten
Löwe, Hans | 1903–1989 | Landwirt; Tierzüchter
Messerschmidt, Wilhelm | 1906–1975 | Physiker
Liepe, Wolfgang | 1888–1962 | Theaterwissenschaftler; Germanist; Dramaturg; Hochschullehrer
Konopak, Christian Gottlieb | 1767–1841 | Jurist
Kok, Friedrich | 1890–1952 | Arzt; Gynäkologe; Militärarzt; Hochschullehrer
Liepmann, Moritz | 1869–1928 | Jurist; Hochschullehrer; Richter
Kromayer, Ernst | 1862–1933 | Arzt; Hautarzt; Hochschullehrer
Krause, Fedor | 1857–1937 | Arzt; Chirurg
Kohlmeyer, Ernst | 1882–1959 | Evangelischer Theologe; Hochschullehrer; Kirchenhistoriker; Pfarrer; Militärgeistlicher
Kohlschütter, Ernst | 1837–1905 | Arzt; Hochschullehrer; Kommunalpolitiker
Krause, Johann Christoph | 1749–1799 | Philosoph; Historiker
Krüger, Johann Gottlob | 1715–1759 | Arzt
Koeppe, Leonhard | 1884–1969 | Augenarzt; Hochschullehrer
Körner, Hans | 1862–1929 | Zahnarzt; Militärarzt; Hochschullehrer
Kruse, Friedrich | 1790–1866 | Historiker; Geograf; Lehrer
Lang, August | 1867–1945 | Pfarrer; Evangelischer Theologe; Kirchenhistoriker; Seelsorger; Superintendent
Lindemann, Walter | 1886–1940 | Arzt; Gynäkologe; Militärarzt; Hochschullehrer
Laqueur, Ernst | 1880–1947 | Pharmakologe; Physiologe; Hochschullehrer
Lesser, Ernst | 1879–1928 | Physiologe; Internist; Biochemiker
Köstlin, Julius | 1826–1902 | Evangelischer Theologe
Kraske, Paul | 1851–1930 | Arzt; Chirurg; Hochschullehrer
Lieser, Theodor | 1900–1973 | Hochschullehrer
Leser, Edmund | 1853–1916 | Arzt; Chirurg
Lindrath, Hermann | 1896–1960 | Bundesminister; Politiker; Bankkaufmann; Staatswissenschaftler; Hochschullehrer
Lippmann, Edmund von | 1857–1940 | Unternehmer; Chemiker; Wissenschaftshistoriker
Leuze, Oscar | 1874–1934 | Althistoriker; Lehrer; Evangelischer Theologe; Hochschullehrer
Liszt, Franz von | 1851–1919 | Jurist; Hochschullehrer; Politiker; Ritter
Linnert, Gerhard | 1888–1948 | Gynäkologe; Militärarzt; Privatdozent
Lintzel, Martin | 1901–1955 | Historiker; Hochschullehrer
Hölscher, Gustav | 1877–1955 | Theologe; Alttestamentler; Philologe; Hochschullehrer
Hollander, Heinrich von | 1853–1920 | Jurist; Hochschullehrer; Rechtsanwalt
Härtel, Fritz | 1877–1940 | Chirurg; Arzt; Hochschullehrer; Schiffsarzt; Militärarzt
Hoffmann, Walter | 1891–1972 | Wirtschaftswissenschaftler
Holdefleiß, Friedrich Wilhelm | 1846–1919 | Agrikulturchemiker; Chemiker; Hochschullehrer; Landwirt
Hultzsch, Eugen | 1857–1927 | Indologe; Philologe; Epigraphiker; Hochschullehrer
Holdefleiß, Paul | 1865–1940 | Agrarwissenschaftler; Hochschullehrer
Hoffmann-Kutschke, Artur | 1882– | Schriftsteller
Hoffmeister, Johannes | 1894–1974 | Meteorologe
Husserl, Edmund | 1859–1938 | Philosoph; Hochschullehrer
Horsters, Hans | 1887–1957 | Arzt; Hochschullehrer
Huber, Eugen | 1849–1923 | Jurist; Hochschullehrer
Holländer, Ludwig Heinrich | 1833–1897 | Arzt; Zahnarzt
Holtzmann, Robert | 1873–1946 | Historiker; Hochschullehrer
Hübner, Rudolf | 1864–1945 | Jurist; Hochschullehrer
Hoffmann, Reinhold | 1885– | Agrarwissenschaftler
Hollmann, Georg | 1873–1946 | Theologe; Philosoph
Hoffmann, Gerhard | 1880–1945 | Physiker
Hoffmann, Walther | 1910–1974 | Agrarwissenschaftler
Jacobi, Johann Georg | 1740–1814 | Schriftsteller; Philosoph; Hochschullehrer; Dramatiker
Jacobi, Justus Ludwig | 1815–1888 | Kirchenhistoriker; Evangelischer Theologe; Hochschullehrer
Juncker, Friedrich Christian | 1730–1770 | Arzt
Juncker, Johann | 1679–1759 | Arzt; Chemiker; Hochschullehrer; Hofrat
Jaensch, Erich Rudolf | 1883–1940 | Philosoph; Psychologe
Hülse, Walter | 1887– | Arzt; Hochschullehrer
Igersheimer, Josef | 1879–1965 | Augenarzt
Ihm, Max | 1863–1909 | Klassischer Philologe
Jakob, Ludwig Heinrich von | 1759–1827 | Staatswissenschaftler; Wirtschaftswissenschaftler; Soziologe; Philosoph
Jahn, Georg | 1885–1962 | Wirtschaftswissenschaftler; Philosoph; Soziologe; Redakteur; Publizist; Syndikusanwalt; Hochschullehrer
Japha, Arnold | 1877–1943 | Arzt; Anthropologe; Zoologe; Militärarzt; Schiffsarzt; Hochschullehrer
Isele, Hellmut Georg | 1902–1987 | Jurist; Hochschullehrer
Jantzen, Hans | 1881–1967 | Kunsthistoriker; Hochschullehrer
Isenbeck, Karl | 1904–1945 | Botaniker; Pflanzenbau
Jecht, Horst | 1901–1965 | Volkswirt; Hochschullehrer
Juncker, Johann Christian Wilhelm | 1761–1800 | Arzt
Joachim, Johann Friedrich | 1713–1767 | Historiker; Jurist; Publizist
Jirku, Anton | 1885–1972 | Alttestamentler; Religionswissenschaftler; Hochschullehrer
Jung, Heinrich W. E. | 1876–1953 | Mathematiker; Hochschullehrer
Jordan, Rudolf | 1902–1988 | Politiker; Gauleiter; Reichsstatthalter; Lehrer
Jahn, Wilhelm | 1873–[XXXX] | Orientalist; Dozent
Jahn, Martin | 1888–1974 | Historiker; Prähistoriker
Jensen, Paul | 1868–1952 | Physiologe; Arzt
Jahn, Kurt | 1873–1915 | Literarhistoriker
Hackemann, Friedrich August | 1670–1742 | Jurist; Hochschullehrer; Bibliothekar
Kauffmann, Max | 1871–1923 | Psychiater; Neurologe; Arzt; Jurist; Hochschullehrer
Haasler, Fritz | 1863–1948 | Arzt; Chirurg; Hochschullehrer; Militärarzt
Haase, Ernst | 1871–1959 | Pädagoge; Mineraloge; Lehrer; Mathematiklehrer
Haecker, Valentin | 1864–1927 | Zoologe; Genetiker; Hochschullehrer
Jolly, Philipp | 1860–1932 | Arzt; Neurologe; Schiffsarzt; Militärarzt
Hadermann, Ernst | 1896–1968 | Germanist; Literarhistoriker
Joerges, Rudolf | 1868–1957 | Jurist; Hochschullehrer
Hamann-Mac Lean, Richard | 1908–2000 | Kunsthistoriker; Hochschullehrer; Sachverständiger
Hartung, Fritz | 1884–1973 | Jurist; Hochschullehrer; Richter; Beisitzer
Heinroth, Hans | 1895–1983 | Zahnarzt; Arzt; Hochschullehrer
Haring, Wilhelm | 1900–1975 | Arzt; Internist; Hochschullehrer
Hanson, Horst | 1911–1978 | Biochemiker; Hochschullehrer
Keller, Ott-Heinrich | 1906–1990 | Mathematiker
Hempel, Johannes | 1891–1964 | Evangelischer Theologe; Alttestamentler; Religionswissenschaftler; Militärgeistlicher; Hochschullehrer; Pfarrer
Herbst, Wilhelm | 1825–1882 | Pädagoge; Schriftsteller; Klassischer Philologe; Schulleiter; Historiker
Hertz, Friedrich | 1878–1964 | Soziologe; Historiker; Ministerialrat; Hochschullehrer
Herff, Otto von | 1856–1916 | Arzt; Hochschullehrer; Gynäkologe; Arzt
Heselhaus, Clemens | 1912–2000 | Germanist; Literaturwissenschaftler
Heinroth, Otto | 1892–1961 | Arzt; Zahnarzt; Autor; Hochschullehrer
Hanle, Wilhelm | 1901–1993 | Physiker; Hochschullehrer
Haloun, Gustav | 1898–1951 | Sinologe; Hochschullehrer
Hehlmann, Wilhelm | 1901–1997 | Pädagoge; Psychologe; Lehrer; Regierungsrat; Hochschullehrer
Haußleiter, Gottlob | 1857–1934 | Theologe; Pfarrer; Vikar; Lehrer; Hochschullehrer
Haußleiter, Otto | 1896–1982 | Staatswissenschaftler; Jurist; Ministerialrat; Hochschullehrer
Haym, Rudolf | 1821–1901 | Philosoph; Politiker; Literarhistoriker; Hochschullehrer; Publizist
Hausen, Carl Renatus | 1740–1805 | Historiker; Bibliothekar; Hochschullehrer
Hauptmann, Alfred | 1881–1948 | Arzt; Psychiater; Militärarzt; Hochschullehrer
Haupt, Erich | 1841–1910 | Theologe; Lehrer; Gymnasiallehrer
Heinemann, Lothar von | 1859–1901 | Historiker; Hochschullehrer
Hering, Hermann | 1838–1920 | Evangelischer Theologe; Konsistorialrat; Krankenpfleger; Diakon; Archidiakon; Prediger; Superintendent; Hochschullehrer
Heineccius, Johann Gottlieb | 1681–1741 | Jurist; Hochschullehrer
Heinzelmann, Gerhard | 1884–1951 | Lutherischer Theologe; Pfarrer; Hochschullehrer
Heintz, Wilhelm Heinrich | 1817–1880 | Chemiker; Hochschullehrer; Apotheker
Heim, Karl | 1874–1958 | Evangelischer Theologe; Hochschullehrer; Philosoph
Heidenhain, Rudolf | 1834–1897 | Arzt; Physiologe
Heck, Philipp | 1858–1943 | Jurist; Hochschullehrer
Heilbronner, Karl | 1869–1914 | Psychiater
Herrnschmidt, Johann Daniel | 1675–1723 | Evangelischer Theologe; Hochschullehrer; Pfarrer; Superintendent; Hofprediger; Kirchenlieddichter; Schulleiter
Hasenclever, Adolf | 1875–1938 | Historiker; Ägyptologe; Volkswirt; Soldat; Hochschullehrer
Martin-Luther-Universität Halle-Wittenberg
Hertwig, Paula | 1889–1983 | Biologin; Zoologin; Genetikerin
Hermberg, Paul | 1888–1969 | Soziologe; Hochschullehrer; Statistiker; Volkswirt
Hartung, Fritz | 1883–1967 | Historiker; Jurist; Ministerialrat; Hochschullehrer
Hein, Wolfgang | 1883–1976 | Jurist; Beisitzer; Hochschullehrer
Hasse, Helmut | 1898–1979 | Mathematiker; Hochschullehrer; Astronom
Heimann, Betty | 1888–1961 | Indologin; Hochschullehrerin
Heine, Eduard | 1821–1881 | Mathematiker
Heuckenkamp, Ferdinand | 1862–1938 | Romanist; Philologe
Herweg, Julius | 1879–1936 | Physiker; Hochschullehrer; Adjutant
Heisler, Philipp Jakob | 1718–1781 | Jurist
Harnack, Erich | 1852–1915 | Arzt; Pharmakologe; Chemiker
Heldmann, Karl | 1869–1943 | Historiker; Hochschullehrer
Herre, Wolf | 1909–1997 | Zoologe; Hochschullehrer
Hesse, Albert | 1876–1965 | Jurist; Volkswirt
Harms, Helmut | 1912–2011 | Naturwissenschaftler
Hilkenbäumer, Friedrich | 1909–1976 | Agrarwissenschaftler; Gärtner
Hildebrand, Karl | 1873– | Wirtschaftswissenschaftler
Heynemann, Theodor | 1878–1951 | Arzt; Gynäkologe
Heydemann, Heinrich | 1842–1890 | Archäologe
Hildebrandt, Hermann | 1866–1912-09 | Arzt
Hiller, Eduard | 1844–1891 | Klassischer Philologe
Henze, Alfred | 1872– | Naturwissenschaftler
Justi, Ludwig | 1876–1957 | Kunsthistoriker; Generaldirektor; Denkmalpfleger; Geheimer Rat; Kurator <Museumskunde>
Kahle, Paul | 1875–1964 | Evangelischer Theologe; Semitist; Orientalist; Pfarrer
Kampffmeyer, Georg | 1864–1936 | Orientalist; Arabist; Philologe
Kaehler, Siegfried A. | 1885–1963 | Historiker; Hochschullehrer
Karo, Georg | 1872–1963 | Archäologe; Denkmalpfleger; Hochschullehrer
Justi, Karl | 1873–1949 | Arzt; Pathologe; Tropenarzt; Heimatkundler
Kaltenbach, Rudolf | 1842–1893 | Gynäkologe
Jürgens, Enno | 1849–1907 | Mathematiker
Karsten, Wenceslaus Johann Gustav | 1732–1787 | Mathematiker; Hochschullehrer; Physiker
Kattenbusch, Ferdinand | 1851–1935 | Evangelischer Theologe; Hochschullehrer
Kauffmann, Friedrich | 1863–1941 | Germanist; Philologe
Kautzsch, Rudolf | 1868–1945 | Kunsthistoriker; Buchwissenschaftler
Karsten, George | 1863–1937 | Botaniker; Hochschullehrer
Keil, Heinrich | 1822–1894 | Philologe; Klassischer Philologe
Kast, Wilhelm | 1898–1980 | Physiker; Hochschullehrer
Kathe, Johannes | 1880–1965 | Arzt; Amtsarzt
Clemen, Carl Christian | 1865–1940 | Evangelischer Theologe; Hochschullehrer
LASH Abt. 268 Nr. 17: Besetzung in päpstlichen Monaten vakant werdender Präbenden (Menses papales)
Gros, Oskar | 1877–1947 | Pharmakologe; Chemiker; Hochschullehrer
Bartholomae, Christian | 1855–1925 | Iranist; Linguist; Orientalist
Barnikol, Ernst | 1892–1968 | Evangelischer Theologe; Kirchenhistoriker; Hochschullehrer
Eberth, Carl Joseph | 1835–1926 | Arzt; Pathologe; Anatom; Hochschullehrer
Eberhard, Johann August | 1738–1809 | Philosoph; Schriftsteller; Theologe; Lehrer; Pfarrer
Gemmingen, Hans Dieter von | 1902–1944-12 | Jurist
Bary, Anton de | 1831–1888 | Botaniker; Botaniker
Allesch, Gustav Johannes von | 1882–1967 | Psychologe; Philosoph; Hochschullehrer
LASH Abt. 268 Nr. 418: Protokollum rev. capituli Lubicensis
LASH Abt. 268 Nr. 413: Protocollum causarum capitularium ecclesie Lubicensis
LASA, A 14, Nr. 262: Die von dem von Haren auf Johann Friedrich von Münchhausen resignierte Minorpräbende
Burmeister, Hermann | 1807–1892 | Forschungsreisender; Entomologe; Naturwissenschaftler; Zoologe; Arzt; Lehrer
Abderhalden, Rudolf | 1910–1965 | Physiologe; Pathologe
LASA, A 14, U 8a, von Neindorff Nr. 243a: Das Domkapitel zu Halberstadt überträgt dem Henning Leopold von Neindorf die von Jasper von Buchwald resignierte Präbende.
Brunnenmeister, Emil | 1854–1896 | Jurist
LASA, A 14, Nr. 252: Die evangelischen Domherrn, desgleichen Advocatus Fisci als Intervenienten contra die katholischen Domherrn, in specie Herrn von Westerholt; in puncto einer von demselben per resignationem des von Schachten erhaltenen Präbende
Langlet, Joachim-Friedrich | 1906–1979 | Agrarwissenschaftler; Hochschullehrer
Levy, Hermann | 1881–1949 | Volkswirt; Schriftsteller; Staatswissenschaftler; Schriftsteller
Krahmer, Friedrich Ludwig | 1810–1893 | Pharmakologe
Kuhn, Oskar | 1908–1990 | Paläontologe; Geologe; Hochschullehrer; Schriftsteller
Küstner, Otto | 1849–1931 | Gynäkologe; Hochschullehrer; Arzt
Kraatz-Koschlau, Karl von | 1867–1900 | Geologe
Köppe, Johann Moritz | 1832–1879 | Psychiater
Krohn, August | 1840–1890 | Philosoph; Lehrer
Hinsche, Georg | 1888–1951 | Wissenschaftler; Geisteswissenschaftler; Naturwissenschaftler; Arzt; Zoologe; Biologe; Pädagoge; Lehrer; Hochschullehrer
Hoeßlin, Heinrich von | 1878–1955 | Arzt; Schiffsarzt; Internist; Militärarzt; Hochschullehrer
Hoffbauer, Johann Christoph | 1766–1827 | Philosoph; Jurist
Hippel, Arthur von | 1841–1916 | Arzt; Augenarzt
Hinrichs, Carl | 1900–1962 | Historiker; Archivar; Historiker
Henrici, Heinrich | 1673–1728 | Arzt; Hochschullehrer; Leibarzt
Hoffmann, Erich | 1868–1959 | Arzt; Hautarzt
Hett, Johannes | 1894–1986 | Arzt; Histologe; Hochschullehrer
Herzfeld, Hans | 1892–1982 | Historiker; Hochschullehrer
Hessler, Hugo | 1850–1920 | Arzt; Militärarzt
Hitzig, Eduard | 1838–1907 | Arzt; Psychiater
Hoffmann, Friedrich | 1660–1742 | Arzt; Chemiker; Hochschullehrer
Junghans, Philipp Caspar | 1738–1799 | Arzt; Botaniker; Hochschullehrer
Hartwich, Adolf | 1889– | Internist; Arzt; Militärarzt; Dozent
Hertz, Gustav | 1887–1975 | Physiker; Hochschullehrer
Haseloff, Arthur | 1872–1955 | Kunsthistoriker
Hense, Otto | 1845–1931 | Klassischer Philologe
Kemme, Johann Christlieb | 1738–1815 | Arzt; Bibliothekar
Kettler, Louis-Heinz | 1910–1976 | Pathologe; Arzt; Hochschullehrer
Kern, Otto | 1863–1942 | Philologe; Klassischer Philologe; Hochschullehrer; Bibliothekar
Kirchhoff, Alfred | 1838–1907 | Pädagoge; Geograf; Hochschullehrer
Kirchner, Wilhelm | 1848–1921 | Agrarwissenschaftler; Hochschullehrer
Kirsten, Ernst | 1911–1987 | Archäologe; Geograf; Althistoriker
Keyser, Paul | 1898–1960 | Pfarrer; Evangelischer Theologe
Friedberg, Robert | 1851–1920 | Politiker; Jurist
Franke, Walther | 1834–1903 | Arzt; Freimaurer
LASH Abt. 268 Nr. 448: Protokollum rev. capituli Lubicensis: Band 45
Griesbach, Johann Jacob | 1745–1812 | Evangelischer Theologe; Hochschullehrer; Publizist; Abgeordneter; Theologe
Gorten, Manfred L. | 1886–1952-08 | Arzt; Neurologe; Psychiater; Militärarzt
Dolch, Moritz | 1885–1931 | Chemiker; Hochschullehrer
Anderssen, Walther | 1882–1965 | Jurist; Hochschullehrer
Diehl, Karl | 1864–1943 | Volkswirt; Wirtschaftswissenschaftler; Staatswissenschaftler
Albrecht, Otto | 1855–1855 | Pfarrer; Evangelischer Theologe; Kirchenhistoriker
LASA, A 14, Nr. 287: Wappen und Namen der Domherren zu Halberstadt, wie solche von 1740 an in dem Stiftskalender gestanden haben
LASH Abt. 268 Nr. 425: Protokollum rev. capituli Lubicensis Band 22
Göhring, Martin | 1903–1968 | Historiker; Hochschullehrer
Goldschmidt, Adolph | 1863–1944 | Kunsthistoriker; Hochschullehrer
Fodor, Andor | 1884–1968 | Chemiker; Hochschullehrer
Friedländer, Paul | 1882–1968 | Philologe; Klassischer Philologe; Hochschullehrer
Elchlepp, Friedrich Wilhelm | 1897–1956 | Lehrer
Baumgarten, Alexander Gottlieb | 1714–1762 | Philosoph; Hochschullehrer
Grünfeld, Ernst | 1883–1938 | Wirtschaftswissenschaftler; Sozialwissenschaftler; Hochschullehrer
Frölich, Gustav | 1879–1940 | Agrarwissenschaftler; Hochschullehrer
LASH Abt. 268 Nr. 455: Manual-Protokolle
LASA, A 13, Nr. 1112: Verzeichnis der am 21.01.1636 im Kapitel gewesenen Domherrn, nebst Anzeige wie sie zu ihren Präbenden gekommen sind
Breithaupt, Joachim Just | 1658–1732 | Evangelischer Theologe; Pietist; Pfarrer; Hochschullehrer; Kirchenlieddichter; Generalsuperintendent
LASH Abt. 268 Nr. 32: Resignation von Kanonikaten
Alberti, Michael | 1682–1757 | Arzt; Philosoph; Hochschullehrer; Physiker; Schriftsteller
LASA, A 14, Nr. 271: In causa contra fiscum regium, wegen der Strafe für die Hüneckesche Prezistenpräbende
LASA, A 14, Nr. 303: Rang des Herrn von Byern vor den Herren von Bucholz und von Rochow
Clausen, Wilhelm | 1878–1961 | Augenarzt; Militärarzt; Hochschullehrer
Boeke, Hendrik Enno | 1881–1921 | Mineraloge
Drigalski, Wolf von | 1907–1943 | Arzt; Internist; Dozent
Schultze-Galléra, Siegmar von | 1865–1945 | Literarhistoriker; Germanist; Heimatkundler; Lehrer
Franke, Carl Christian Leberecht | 1796–1879 | Pfarrer; Evangelischer Theologe; Pädagoge; Superintendent; Hochschullehrer; Bibliothekar
Fassbender, Friedrich Wilhelm | 1893–1981 | Arzt
LASA, A 14, Nr. 127: Nachweisung vom Personalzustand des Domkapitels
Golf, Arthur | 1877–1941 | Tierzüchter; Agrarwissenschaftler
LASA, A 13, Nr. 1138: Die Elektenpräbenden
Dohna, Alexander zu | 1876–1944 | Jurist; Burggraf
Bei der Filmaufnahme von ca. 1947 handelt es sich um einen von mehreren privaten Filmen der Familie Klaetsch, in denen Alltagsszenen und inszenierte Geschichten durch die Familie geplant und aufgenommen wurden. Der Film zeigt die jüngste Tochter im Garten des Ackerwegs in der Gartenstadt Halle (Saale), die einen der reifen Äpfel erbittet. Es wird inszeniert, wie eine imaginierte Person und ein Vogel ihr die Bitte erfüllen. Der Schwarzweiß-Stummfilm besitzt eine Länge von 1:50 Minuten. Das Entstehungsjahr wurde nach dem Alter der Kinder geschätzt.
Eberhard, Victor | 1861–1927 | Mathematiker; Hochschullehrer
Altheim, Franz | 1898–1976 | Althistoriker
Der Film spielt zwischen dem 19. Juni und 23. Juni 1948. Er zeigt die Abreise der Familie mit der Straßenbahn in der südlichen Innenstadt Halle (Saale) (Diesterwegstraße) in den Urlaub sowie die Freundin Marianne an verschiedenen Haltestellen (Merseburg-Leuna), da sie gespielt die Abfahrt in die Sächsische Schweiz verpasst. Danach werden Urlaubsszenen der Familie eingefangen. In der Sächsischen Schweiz sieht man die Kinder beim Wandern, Spielen und Erholen. In einer gestellten Szene fällt ein Kind vom Berg und wird vom Vater aufgefangen. Verorten kann man die Stadt Wehlen und den Lichtenhainer Wasserfall. Der Film besitzt eine Länge von 5:41 Minuten.
LASA, A 14, Nr. 294: Aszension des Minorherrn von Byern bei des von Ende Absterben
Bramann, Fritz Gustav von | 1854–1913 | Arzt; Chirurg
Anschütz, August | 1826–1874 | Jurist; Hochschullehrer
Bühler, Ottmar | 1884–1965 | Jurist; Wirtschaftsjurist; Hochschullehrer
Beneke, Rudolf | 1861–1946 | Pathologe; Arzt; Hochschullehrer
Eisenhart, Hugo | 1811–1893 | Wirtschaftswissenschaftler; Staatswissenschaftler
Bauke, Hermann | 1886–1928 | Theologe; Pfarrer; Patristiker; Hochschullehrer
LASH Abt. 268 Nr. 423: Protokollum rev. capituli Lubicensis
Landesarchiv Schleswig-Holstein Abt. 260 Nr. 26
LASH Abt. 260 Nr. 26: Resignation des Prinzen Friedrich von Dänemark auf seine Koadjuterie und die Wahl des Prinzen Peter Friedrich Wilhelm zu Holstein-Gottorf zum Koadjutor im Hochstift Lübeck und dessen Kapitulation
LASH Abt. 260 Nr. 21: Wahl des Herzogs Adolph Friedrich zum Bischof im Hochstift Lübeck
Böhmer, Philipp Adolph | 1711–1789 | Arzt; Hochschullehrer; Leibarzt
Bode, Heinrich von | 1652–1720 | Jurist; Hochschullehrer; Konsistorialrat
LASH Abt. 268 Nr. 449: Protokollum rev. capituli Lubicensis: Band 46
LASA, A 14, Nr. 299: Vom König dem Grafen von Bentheim erteilte Anwartung zu einer Präbende
Guericke, Heinrich Ernst Ferdinand | 1803–1878 | Evangelischer Theologe; Kirchenhistoriker; Hochschullehrer
LASH Abt. 268 Nr. 424: Protokollum rev. capituli Lubicensis
Cornelius, Carl Sebastian | 1819–1896 | Physiker; Philosoph
LASH Abt. 268 Nr. 415: Protokollum rev. capituli Lubicensis
LASH Abt. 268 Nr. 434: Protokollum rev. capituli Lubicensis: Band 31
LASH Abt. 268 Nr. 457: Manual-Protokolle
Fischer, August | 1865–1949 | Orientalist; Hochschullehrer; Arabist; Philologe
LASA, A 14, Nr. 308: Beantwortung verschiedener, die Erbpräbende angehender Fragen
Geßner, Otto | 1895–1968 | Arzt; Pharmakologe
Krause, Johann Heinrich | 1800–1882 | Klassischer Philologe; Archäologe; Privatdozent
Lange, Johann Joachim | 1699–1765 | Mathematiker; Philosoph; Mineraloge
Lang, Richard | 1882–1935 | Geologe; Agrikulturchemiker; Bodenkundler; Hochschullehrer
Leo, Heinrich | 1799–1878 | Historiker; Politiker; Publizist; Germanist; Hochschullehrer
Lehmann, Emil | 1881–1981 | Geologe; Mineraloge; Vulkanologe; Hochschullehrer
Lilienthal, Karl von | 1853–1927 | Jurist
Kühn, Julius | 1825–1910 | Agrarwissenschaftler; Landwirt
Erdmann, Johann Eduard | 1805–1892 | Philosoph; Pfarrer; Schriftsteller; Psychologe; Hochschullehrer
Böhmer, Justus Henning | 1674–1749 | Jurist; Hochschullehrer; Kanzler; Kirchenlieddichter
Dobschütz, Ernst von | 1870–1934 | Theologe; Schriftführer; Hochschullehrer
Bärensprung, Friedrich Wilhelm Felix von | 1822–1864 | Hautarzt; Arzt
Bärensprung, Friedrich Wilhelm Felix von
LASA, A 14, Nr. 281: Resignation des Herrn von Voss auf Ernst Ludwig Christoph Spiegel zum Diesenberg
Anthes, Rudolf | 1896–1985 | Ägyptologe; Kurator <Museumskunde>; Hochschullehrer
Credner, Rudolf | 1850–1908 | Geograf; Geologe; Physiker; Hochschullehrer
Froriep, Ludwig Friedrich von | 1779–1847 | Arzt; Chirurg; Hochschullehrer; Verleger
Beyschlag, Willibald | 1823–1900 | Evangelischer Theologe; Hochschullehrer; Pfarrer; Hofprediger
Bechtel, Friedrich | 1855–1924 | Philologe; Indogermanist; Linguist; Hochschullehrer
Grund, Georg | 1878–1944 | Arzt; Internist; Militärarzt; Hochschullehrer
Feine, Paul | 1859–1933 | Evangelischer Theologe; Gymnasiallehrer; Erzieher; Hochschullehrer
Goetze, Otto | 1886–1955 | Arzt; Chirurg; Schiffsarzt; Hochschullehrer
LASH Abt. 268 Nr. 543: Auszüge aus dem Kapitels-Protokoll, angefangen vom Syndikus Detharding, fortgesetzt vom Syndikus Dr. Buchholz (chronologischer Index)
Finger, August | 1858–1935 | Jurist; Richter; Politiker; Abgeordneter; Hochschullehrer
LASH Abt. 268 Nr. 422: Protokollum rev. capituli Lubicensis
Leipoldt, Johannes | 1880–1965 | Historiker; Religionswissenschaftler; Diakon
Doerne, Martin | 1900–1970 | Evangelischer Theologe; Hochschullehrer; Pfarrer
LASA, A 14, Nr. 274: Vom König dem Baron von Ketteler anno 1728, dem Generalleutnant von Schwerin anno 1738, dem Obrist von Löben anno 1742 konferierte Majorpräbenden und dem von Bucholz 1745 erteilte Erlaubnis zu resignieren
LASA, A 14, Nr. 270: Vom Landesherrn den Domkapitularen erteilte Dispensationen von Beiwohnung der drei Remigiikapitel und der gewöhnlichen Residenz
Bernstein, Felix | 1878–1956 | Mathematiker; Statistiker
Fück, Johann | 1894–1974 | Philologe; Orientalist
Fuchs, Walter Heinrich | 1904–1981 | Agrarwissenschaftler
LASA, A 14, Nr. 288: Vom Hofe erforderte Berichte, wie viel pro honorario für die Präbenden bezahlt werde
LASA, A 14, Nr. 244: Präbende des Herrn Geheimen Rats von Vieregk
Freytag, Carl | 1831–1908 | Agrarwissenschaftler; Zoologe; Hochschullehrer
LASA, A 14, Nr. 295: Des Herrn von Rochow Dispensation vom Klosterjahr
Gren, Friedrich Albrecht Carl | 1760–1798 | Arzt; Physiker; Chemiker; Pharmakologe; Apotheker
Brauer, Rudolf | 1907–2006 | Zahnarzt; Ingenieur
Ackermann, Theodor | 1825–1896 | Arzt; Pathologe; Hochschullehrer
Zeitraum: Gesamtlaufzeit 1713 - 1756, vermutlich die mittleren Jahre davon
LASA, A 14, Nr. 263, Bd. II: Vom König erteilte Expektanzen und Kollationspatente
Goebel, Fritz | 1888–1950 | Kinderarzt; Arzt; Hochschullehrer; Militärarzt
LASA, A 13, Nr. 1122: Wahl der Dechanten beim Domkapitel
Kramer, Gustav | 1806–1888 | Schulleiter; Pädagoge; Klassischer Philologe; Theologe
Kähler, Wilhelm | 1871–1934 | Volkswirt; Jurist; Hochschullehrer; Politiker
Kähler, Martin | 1835–1912 | Evangelischer Theologe; Hochschullehrer; Diakon
Kranz, Walther | 1884–1960 | Klassischer Philologe; Philosoph; Lehrer
Kuhn, Ernst | 1846–1920 | Indologe; Linguist; Philologe; Orientalist
Liefmann, Harry | 1877–1915 | Bakteriologe; Arzt
LASH Abt. 260 Nr. 24: Wahl des Prinzen Friedrich von Dänemark zum Koadjutor im Hochstift Lübeck
LASH Abt. 268 Nr. 10: Kanonikate überhaupt
Böhmer, Eduard | 1827–1906 | Theologe; Romanist; Bibliothekar
LASA, A 14, Nr. 245 Bd. 1: Domkapitularische, olim mecklenburgische, dann kurprinzliche Erbpräbende, deren Erhandlung und nachherige Kollation
LASA, A 14, Nr. 293 Bd. II: Dem Obrist von Löben konferierte Präbende des Domscholasters von Münchhausen, ist an Herrn von Münchhausen resigniert
Brunnemann, Jakob | 1674–1735 | Jurist; Hochschullehrer
LASH Abt. 268 Nr. 447: Protokollum rev. capituli Lubicensis: Band 44
Gilbert, Ludwig Wilhelm | 1769–1824 | Physiker; Hochschullehrer; Chemiker; Mathematiker; Geograf; Astronom
Cluß, Adolf | 1862–1930 | Chemiker; Agrikulturchemiker; Hochschullehrer
Behrend, Paul Gerhard | 1853–1905 | Agrikulturchemiker
Callenberg, Johann Heinrich | 1694–1760 | Orientalist; Theologe; Evangelischer Theologe; Hochschullehrer; Bibliothekar; Missionar
LASA, A 14, Nr. 293 Bd. I: Dem Obrist von Löben konferierte Präbende des Domscholasters von Münchhausen, ist an Herrn von Münchhausen resigniert
Aubin, Gustav | 1881–1938 | Historiker; Wirtschaftshistoriker; Hochschullehrer; Volkswirt; Jurist; Oberstleutnant
König, Heinrich Johann Otto | 1748–1820 | Jurist
Küstner, Heinz | 1897–1963 | Arzt; Gynäkologe; Hochschullehrer; Militärarzt
Krefft, Siegfried | 1916–1981 | Rechtsmediziner; Hochschullehrer; Arzt
Kuckuck, Hermann | 1903–1992 | Pflanzenzüchter; Agrarwissenschaftler
Lastig, Gustav | 1844–1930 | Jurist; Hochschullehrer
Lehmann, Arno | 1901–1984 | Religionswissenschaftler; Missionar; Pfarrer; Hochschullehrer
Buddenbrock-Hettersdorff, Wolfgang, Freiherr von | 1884–1964 | Zoologe; Hochschullehrer
Buddenbrock-Hettersdorff, Wolfgang, Freiherr von
Gerhardt, Ulrich | 1875–1950 | Zoologe; Militärarzt; Hochschullehrer; Widerstandskämpfer
Brieger, Theodor | 1842–1915 | Evangelischer Theologe; Kirchenhistoriker
Ebschbach, Horst | 1924–1977 | Hochschullehrer; Dreher
LASH Abt. 268 Nr. 18: Exspektanzen und Provisionen auf Kanonikate
LASH Abt. 268 Nr. 28: Absenz der Domherren zu Lübeck
Benz, Ernst | 1907–1978 | Evangelischer Theologe; Kirchenhistoriker; Militärgeistlicher
Bauer, Hans | 1878–1937 | Orientalist; Semitist; Theologe; Klassischer Philologe; Publizist; Priester; Hochschullehrer
Gehrig, Hans | 1882–1968 | Volkswirt; Wirtschaftswissenschaftler; Staatswissenschaftler; Hochschullehrer
Knorre, Carl Gottlieb | 1696–1753 | Jurist; Geheimer Rat
Knorre, Ernst Friedrich | 1728–1771 | Jurist
Koch, Herbert | 1880–1962 | Archäologe; Hochschullehrer
Koepp, Wilhelm | 1885–1965 | Theologe; Evangelischer Theologe; Militärgeistlicher; Hochschullehrer
Koellreutter, Otto | 1883–1972 | Jurist; Richter; Hochschullehrer
Koch, Waldemar | 1880–1963 | Politiker; Betriebswirt; Hochschullehrer
Koehler, Hermann Adolph | 1834–1879 | Arzt; Chemiker
Koch, Rudolf | 1909–1963 | Arzt; Rechtsmediziner
Lamprecht, Georg Friedrich von | 1759–1810 | Jurist; Wirtschaftswissenschaftler; Hochschullehrer; Selbstverleger
Lehmann, Richard | 1845–1942 | Geograf; Oberlehrer; Rektor
Lengerken, Hanns von | 1889–1966 | Biologe; Zoologe
Kunitz, Wilhelm | 1894–1983 | Mineraloge; Chemiker; Dozent
Laatsch, Willi | 1905–1997 | Botaniker; Geologe; Bodenkundler
Krueger, Felix | 1874–1948 | Psychologe; Philosoph
Köthner, Paul | 1870–1932 | Chemiker; Freimaurer
Koch, Johannes | 1901–1969 | Arzt; Hals-Nasen-Ohren-Arzt
Liebenberg de Zsitin, Adolf, Ritter | 1851–1922 | Agrarwissenschaftler; Pflanzenzüchter; Hochschullehrer
Lehnerdt, Friedrich | 1881–1944 | Arzt; Kinderarzt; Militärarzt; Hochschullehrer
Leydolph, Walter | 1903–1969 | Agrarwissenschaftler; Tierzüchter
Langheineken, Paul | 1865–1930 | Jurist; Hochschullehrer
Kürten, Heinz | 1891–1966 | Arzt; Internist; Hochschullehrer
Krukenberg, Peter | 1787–1865 | Arzt; Pathologe
Lindner, Theodor | 1843–1919 | Historiker; Geheimer Rat; Lehrer; Hochschullehrer
Ludewig, Johann Peter von | 1670–1743 | Jurist; Historiker; Theologe; Staatsrechtslehrer; Hochschullehrer; Politiker; Philosoph
Ludovici, Jacob Friedrich | 1671–1723 | Jurist; Hofrat; Geheimer Rat
Loofs, Friedrich | 1858–1928 | Lutherischer Theologe; Kirchenhistoriker; Hochschullehrer; Konsistorialrat; Rektor
Litzner, Stillfried | 1897–1972 | Arzt; Internist; Hochschullehrer
Loder, Justus Christian von | 1753–1832 | Arzt
Lorenz, Hans | 1865–1940 | Ingenieur; Mechaniker
Loening, Karl | 1877–1926 | Arzt; Militärarzt
Förster, Theodor | 1839–1898 | Pfarrer; Superintendent; Evangelischer Theologe
LASH, Abt. 268, Nr. 426: Protokollum rev. capituli Lubicensis: Band 23
Goldhagen, Johann Friedrich Gottlieb | 1742–1788 | Arzt; Freimaurer
Coschwitz, Georg Daniel | 1679–1729 | Arzt; Hochschullehrer; Botaniker; Apotheker
Gierke, Julius Karl Otto von | 1875–1960 | Jurist; Hochschullehrer
Deutschbein, Max | 1876–1949 | Philologe; Anglist; Hochschullehrer
Förster, Max | 1869–1954 | Philologe; Anglist
Fehling, Hermann | 1847–1925 | Gynäkologe
LASA, A 14, Nr. 300: Resignation der Minorpräbende des Herrn von Fürstenberg, ingleichen das Verbot der Resignationen
Bei der Filmaufnahme von ca. 1946/47 handelt es sich um einen von mehreren privaten Filmen der Familie Klaetsch, in denen Alltagsszenen und inszenierte Geschichten durch die Familie geplant und aufgenommen wurden. Der Film zeigt eine Inszenierung des Gedichts „Vom Riesen Timpetu“ des Autors Alwin Freudenberg (1873-1930) von 1910. Die drei Töchter spielen das Scherzgedicht verkleidet in verschiedenen Szenen und unter Einsatz von filmischer Tricktechnik nach. Der Film besitzt eine Länge von 6:05 Minuten. Das Entstehungsjahr wurde nach dem Alter der Kinder geschätzt.
Freudenberg, Alwin | 1873–1930 | Jugendbuchautor; Kinderbuchautor; Schriftsteller; Pädagoge; Autor; Librettist
Asinger, Friedrich | 1907–1999 | Chemiker; Hochschullehrer
Burgeff, Hans | 1883–1976 | Botaniker; Hochschullehrer
Gasser, Simon Peter | 1676–1745 | Jurist; Hochschullehrer; Geheimer Rat
Bassarak, Gerhard | 1918–2008 | Theologe
Burdach, Konrad | 1859–1936 | Musikwissenschaftler; Germanist; Literaturwissenschaftler; Kunsthistoriker; Literarhistoriker; Schriftsteller
Baer, Reinhold | 1902–1979 | Mathematiker; Hochschullehrer; Lehrer
Eiselen, Johann Friedrich Gottfried | 1785–1865 | Volkswirt; Hochschullehrer
David, Oskar | 1880–1942 | Arzt; Internist; Radiologe; Militärarzt; Hochschullehrer
LASA, A 13, Nr. 1134: Die in mense papali vakant gewordenen Präbenden bei dem Domstift zu Halberstadt
Elliger, Walter | 1903–1985 | Kirchenhistoriker; Evangelischer Theologe; Hochschullehrer
LASH Abt. 268, Nr. 431: Protokollum rev. capituli Lubicensis: Band 28
LASH Abt. 268 Nr. 416: Protokollum rev. capituli Lubicensis
LASH Abt. 268 Nr. 25: Anzahl der residierenden Domherren zu Lübeck
LASA, A 14, Nr. 272: Präbende des Scholasters
Fikentscher, Richard | 1903–1993 | Arzt; Gynäkologe
Brandt, Heinrich | 1886–1954 | Mathematiker; Hochschullehrer
Derlitzki, Georg | 1889–1958 | Agrarwissenschaftler
LASA, A 14, Nr. 241: Das am 16ten Mai 1805 erfolgte Ableben des Herrn Domkapitularen und Portanarii Friedrich Eberhard v. Rochow und das hiernächst dem Herrn Domkapitular von der Horst von des Königs Majestät konferierte Portanariat, ingleichen das kurz darauf erfolgte Ableben des Herrn Portanarii von der Horst und Introduktion des Domkapitularen und Landrats von Pannewitz
Loeffler, Friedrich | 1885–1967 | Arzt; Orthopäde; Chirurg; Militärarzt; Schiffsarzt; Hochschullehrer
Lütgert, Wilhelm | 1867–1938 | Evangelischer Theologe; Neutestamentler; Rektor; Hochschullehrer
Lüthge, Heinrich | 1899– | Oberregierungsrat; Ministerialrat; Diplomlandwirt; Dozent
Ludwig, Wilhelm | 1901–1959 | Biologe; Zoologe; Genetiker; Hochschullehrer
Loening, Edgar | 1843–1919 | Jurist; Rektor; Hochschullehrer; Hochschullehrer
Luedecke, Otto | 1851–1910 | Geologe; Mineraloge
Lueken, Bernd | 1908–1978 | Physiologe; Arzt
LASA, A 14, Nr. 268: Erhandlung der domkapitularischen Erbpräbende für Herrn von Pannewitz
Conrad, Johannes | 1839–1915 | Wirtschaftswissenschaftler
Frischeisen-Köhler, Max | 1878–1923 | Philosoph; Psychologe; Pädagoge
Gärtner, Robert | 1894–1951 | Agrarwissenschaftler; Tierzüchter
Cobet, Rudolf | 1888–1964 | Arzt; Internist
Büchsel, Friedrich | 1883–1945 | Evangelischer Theologe; Hochschullehrer
LASH Abt. 268 Nr. 19: Turnus in Kanonikaten
Fritsch, Karl von | 1838–1906 | Geologe; Paläontologe; Mineraloge
Fricke, Johann Heinrich | 1740–1775 | Jurist; Privatdozent
LASH Abt. 268 Nr. 445: Protokollum rev. capituli Lubicensis: Band 42
LASH Abt. 268 Nr. 472: Manual-Protokolle
Blohm, Georg | 1896–1982 | Agrarwissenschaftler; Hochschullehrer; Bibliotheksassistent
Aschaffenburg, Gustav | 1866–1944 | Psychiater; Arzt
Dold, Hermann | 1882–1962 | Bakteriologe; Hochschullehrer; Arzt; Militärarzt
Anton, Gabriel | 1858–1933 | Arzt; Psychiater; Neurologe; Geheimer Rat; Hochschullehrer; Militärarzt
Eberhard, Johann Peter | 1727–1779 | Arzt; Naturwissenschaftler; Mathematiker; Physiker
Begrich, Joachim | 1900–1945 | Evangelischer Theologe; Hochschullehrer
LASH Abt. 268, Nr. 428: Protokollum rev. capituli Lubicensis: Band 25
Gundling, Nicolaus Hieronymus | 1671–1729 | Theologe; Jurist; Historiker; Philosoph; Publizist
LASA, A 14, Nr. 306: Konferierung der Buschschen Erbpräbende an Werner Ludwig Clamor von Busch
Bei der Filmaufnahme von ca. 1948 handelt es sich um einen von mehreren privaten Filmen der Familie Klaetsch, in denen Alltagsszenen und inszenierte Geschichten durch die Familie geplant und aufgenommen wurden. Der Film zeigt im Freien spielende Kinder vor dem Haus im Ackerweg in der Gartenstadt Halle (Saale). Der Film besitzt eine Länge von 3:03 Minuten. Das Entstehungsjahr wurde nach dem Alter der Kinder geschätzt.
Chronik Turnen und im Garten der Familie Möller
Giebel, Christian Gottfried Andreas | 1820–1881 | Biologe; Zoologe; Paläontologe
Braunschweig, Paul | 1859–1927 | Arzt; Augenarzt; Militärarzt
LASA, A 14, Nr. 254: Dokumente, zu der Buschschen Erbpräbende gehörig
Aland, Kurt | 1915–1994 | Theologe; Historiker; Kirchenhistoriker; Exeget
Denker, Alfred | 1863–1941 | Arzt; Hals-Nasen-Ohren-Arzt; Hochschullehrer
LASA, A 14, Nr. 115: Ordnung der Majorherren und ihre Stellung nach geendigten elditisch-fürstenbergischen Prozessen
LASA, A 14, Nr. 417: Ableben des Domkapitularen Freiherrn von Fürstenberg
Drigalski, Wilhelm von | 1871–1950 | Arzt; Militärarzt; Schiffsarzt; Amtsarzt; Bakteriologe
Bei der Filmaufnahme von ca. 1942 handelt es sich um einen von mehreren privaten Filmen der Familie Klaetsch, in denen Alltagsszenen und inszenierte Geschichten durch die Familie geplant und aufgenommen wurden. Der Film zeigt den Urlaub der Familie in den Alpen mit verschiedenen Szenen des Wanderns und des Ausflugs auf einem See. Spätere Natur- und Gipfelaufnahmen sind offenbar aus dem Flugzeug heraus entstanden. Der Schwarzweiß-Stummfilm hat eine Länge von 9:27 Minuten.
Dahm, Georg | 1904–1963 | Jurist; Hochschullehrer
Grote, Louis Ruyter Radcliffe | 1886–1960 | Arzt; Hochschullehrer; Internist; Militärarzt
LASA, A 14, Nr. 243: Dem von Bredow erteilte Expektanz
Grüttner, Adalbert | 1881–1929 | Pädagoge; Mathematiker; Physiker; Lehrer; Hochschullehrer
Friedländer, Carl | 1847–1887 | Arzt; Pathologe; Mikrobiologe; Bakteriologe
LASH Abt. 260 Nr. 23: Wahl des Herzogs Friedrich August von Holstein-Gottorf zum Koadjutor im Hochstift Lübeck und dessen Kapitulation, sowie die Resignation des Kronprinzen Carl Friedrich von Schweden auf das Bistum
LASH Abt. 260 Nr. 46: Possession und Huldigung des Bischofs Christian August im Bistum Lübeck
Bernhardy, Gottfried | 1800–1875 | Klassischer Philologe; Bibliothekar
LASA, A 15, B Nr. 17: Protest gegen Verleihung der erledigten Major-Präbende des von Sibelstorff an den Sohn des Oberst Knigge
Crüger, Hans | 1859–1927 | Jurist; Politiker
LASA, A 14, Nr. 67: Provisiones und Emanzipationes, zum Teil in original, zum Teil in copia
Förster, Johann Christian | 1735–1798 | Philosoph; Historiker; Staatswissenschaftler; Autor
LASH Abt. 268 Nr. 409: Protocollum causarum capitularium ecclesie Lubicensis, unvollständig
Böhmer, Gerhard | 1879– | Agrarwissenschaftler; Hochschullehrer; Beamter
Budde, Werner | 1886–1960 | Arzt; Chirurg; Militärarzt; Hochschullehrer
Baehrens, Wilhelm Adolf | 1885–1929 | Klassischer Philologe; Hochschullehrer
Dreher, Eugen | 1841–1900 | Naturwissenschaftler; Philosoph
Freisleben, Rudolf | 1906–1943 | Biologe; Genetiker; Pflanzenzüchter
Arndt, Adolf | 1849–1926 | Jurist; Hochschullehrer
Frech, Fritz | 1861–1917 | Geologe; Paläontologe
LASA, U 5, XVI Nr. 45: (Erzbischof Anselm Casimir von Mainz)
Gelb, Adhémar | 1887–1936 | Psychologe; Hochschullehrer
Dörffel, Julius | 1900–1953 | Hautarzt; Arzt
Christ, Karl | 1878–1943 | Philologe; Romanist; Bibliotheksdirektor; Bibliothekar; Bibliothekswissenschaftler
Baumgarten, Siegmund Jakob | 1706–1757 | Evangelischer Theologe; Historiker; Hochschullehrer
Frank, Reinhard von | 1860–1934 | Jurist; Hochschullehrer
LASA, A 14, Nr. 302: Absterben des Subseniors von Haren und Aszension des von Byern
LASH Abt. 260 Nr. 29: Kaiserliche konfirmiertes Pactum successiorium zwischen Bischof Peter Friedrich Ludwig und dem Domkapitel hinsichtlich der Bischofs- und Koadjutorwahlen im Hochstift Lübeck
LASH, Abt. 260, Nr. 19: Koadjutoriesachen im Hochstift Lübeck
LASH Abt. 260 Nr. 2164: Regierung Eutin: Vicaria 17 in Summo
Buchda, Gerhard | 1901–1977 | Jurist; Historiker; Hochschullehrer; Zoologe
Grüneberg, Theodor | 1901–1979 | Arzt; Hautarzt; Hochschullehrer; Direktor
Arnim, Hans von | 1859–1931 | Philologe; Klassischer Philologe
Frankl, Paul | 1878–1962 | Kunsthistoriker; Hochschullehrer; Architekt
LASA, A 14, Nr. 161: Rathaus zu Dardesheim und Besetzung der Ratsstellen
Bathe, Johann Christoph | 1754–1818 | Jurist
LASA, A 13, Nr. 1116: Verurteilung des Domherrn von Bartensleben in 4 000 Reichstaler Strafe, weil er den Regierungspräsidenten von Canstein zum Zweikampf gefordert habe
LASA, A 14, Nr. 130: Nachjahrsrevenuen der Präbendaten
Galling, Kurt | 1900–1987 | Evangelischer Theologe; Archäologe; Hochschullehrer
LASH Abt. 268 Nr. 440: Protokollum rev. capituli Lubicensis: Band 37
Bode, Hugo | 1851–1937 | Agrarwissenschaftler; Landwirt; Hochschullehrer; Major; Hauptmann
LASH Abt. 268 Nr. 446: Protokollum rev. capituli Lubicensis: Band 43
Andree, Julius | 1889–1942 | Paläontologe; Prähistoriker
Buadze, Severian | 1894–1934 | Arzt; Dozent
Giese, Wilhelm | 1895–1990 | Philologe; Romanist; Hispanist; Kriegsteilnehmer; Kriegsgefangener
Gunkel, Hermann | 1862–1932 | Evangelischer Theologe; Alttestamentler; Hochschullehrer
Brünneck, Wilhelm von | 1839–1917 | Jurist; Hochschullehrer
Fingerling, Gustav | 1867–1944 | Agrarwissenschaftler; Chemiker; Hochschullehrer
Carrach, Johann Tobias | 1702–1775 | Jurist
Abert, Hermann | 1871–1927 | Musikwissenschaftler; Historiker; Klassischer Philologe; Komponist; Arrangeur; Hochschullehrer; Herausgeber
Gloel, Johannes | 1857–1891 | Evangelischer Theologe; Neutestamentler
Gerlach, Werner | 1891–1963 | Pathologe; Arzt; Hochschullehrer; Militärarzt; Diplomat
Ficker, Gerhard | 1865–1934 | Evangelischer Theologe; Kirchenhistoriker
LASH Abt. 268 Nr. 439: Protokollum rev. capituli Lubicensis: Band 36
Ellenberger, Friedrich Wilhelm | 1729–1768 | Philosoph
LASH Abt. 260 Nr. 30: Gutachten des Justizrates Eschen über die Notwendigkeit einer kaiserlichen Konfirmation bei Bischofs- und Koadjutorwahlen im Hochstift Lübeck
LASH Abt. 260 Nr. 45: Regierungswechsel im Bistum Lübeck
LASH Abt. 268 Nr. 11: Rangordnung der Kanoniker zu Lübeck
Elster, Ludwig | 1856–1935 | Verwaltungsbeamter; Hochschullehrer; Volkswirt; Ministerialrat
Cornill, Carl Heinrich | 1854–1920 | Philologe; Evangelischer Theologe; Hochschullehrer
Freund, Richard | 1872–1942 | Arzt; Gynäkologe; Hochschullehrer
LASA, A 14, Nr. 120: Gesuch, am hiesigen Stift nur Deutsche von Adel anzunehmen und in gewöhnlicher geistlicher Kleidung bei Hofe erscheinen zu dürfen
Bei der Filmaufnahme mit Schwerpunkt des Septembers 1941 handelt es sich um einen von mehreren privaten Filmen der Familie Klaetsch, in denen Alltagsszenen und inszenierte Geschichten durch die Familie geplant und aufgenommen wurden. Der Film zeigt die Vorbereitung, Einschulung und in wenigen Szenen die Schulbeendigung der ältesten Tochter. Sie besuchte die Diesterwegschule für Mädchen in Halle (Saale). Der Film zeigt sowohl die private Feier zur Einschulung (Übergabe von Ranzen und Schultüte) wie auch die offiziellen Feierlichkeiten in der Schule. Die Qualität ist durch die doppelte Belichtung leider nicht optimal. Angehängt findet sich ein farbiger Filmzusatz, der die Mädchen der Schulklasse bei der Beendigung der Schulzeit abbildet. Der Film hat eine Länge von 9:34 Minuten.
Ficker, Johannes | 1861–1944 | Evangelischer Theologe; Kirchenhistoriker; Archäologe; Prediger; Hochschullehrer
Brugsch, Theodor | 1878–1963 | Arzt; Internist; Politiker; Militärarzt; Hochschullehrer
Grabein, Max | 1872–1920 | Volkswirt; Direktor
Freylinghausen, Gottlieb Anastasius | 1719–1785 | Evangelischer Theologe; Hochschullehrer; Direktor
Bei der Filmaufnahme von ca. 1947 handelt es sich um einen von mehreren privaten Filmen der Familie Klaetsch, in denen Alltagsszenen und inszenierte Geschichten durch die Familie geplant und aufgenommen wurden. Der Film zeigt die Familie mit ihren Kindern sowie anderen Personen im Garten in der Gartenstadt Halle (Saale). Das Spiel der Kinder, das gemeinsame Essen und die Freizeitgestaltung stehen im Mittelpunkt der Aufnahme. Der Film besitzt eine Länge von 10:32 Minuten. Das Entstehungsjahr wurde nach dem Alter der Kinder geschätzt.
Goelicke, Andreas Ottomar | 1671–1744 | Arzt; Anatom
LASA, A 14, Nr. 245 Bd. II: Domkapitularische, olim mecklenburgische, dann kurprinzliche Erbpräbende, deren Erhandlung und nachherige Kollation
LASH Abt. 268 Nr. 442: Protokollum rev. capituli Lubicensis: Band 39
Bei der Filmaufnahme mit Schwerpunkt des Septembers 1942 handelt es sich um einen von mehreren privaten Filmen der Familie Klaetsch, in denen Alltagsszenen und inszenierte Geschichten durch die Familie geplant und aufgenommen wurden. Der Film zeigt die Vorbereitung und Einschulung einer der Töchter im Herbst 1942. Sie besuchte die Diesterwegschule für Mädchen in Halle (Saale). Der Film zeigt sowohl die private Feier zur Einschulung (Wahrnehmung der Bekanntmachung, Kauf und Übergabe von Ranzen und Schultüte) wie auch die offiziellen Feierlichkeiten in der Schule. Der Film hat eine Länge von 13:12 Minuten.
Inge wird ein Schulkind (Einschulung 1942)
Agricola, Rudolf | 1900–1985 | Wirtschaftswissenschaftler; Journalist; Hochschullehrer; Diplomat
Disse, Joseph | 1852–1912 | Arzt; Anatom
LASA, A 14, Nr. 201: Wahl, Introduktion, Residenz und Resignation des Domdechanten Christian Friedrich Grafen zu Stollberg [so!]
LASH Abt. 268 Nr. 435: Protokollum rev. capituli Lubicensis: Band 32
Flügel, Fritz Eugen | 1897–1973 | Arzt; Neurologe; Psychiater; Hochschullehrer
LASH Abt. 268 Nr. 24: Residenzjahre der Domherren zu Lübeck
Francke, August Hermann | 1663–1727 | Evangelischer Theologe; Pietist; Klassischer Philologe; Orientalist; Pädagoge; Pfarrer; Hochschullehrer
Disselhorst, Rudolf | 1854–1930 | Arzt; Tierarzt; Landwirt; Hochschullehrer; Repetitor
Fischer-Lamberg, Otto | 1886–1963 | Künstler; Kunsterzieher; Maler; Zeichner; Grafiker
Boehmer, Gustav | 1881–1969 | Jurist; Hochschullehrer
Berndt, Georg | 1880–1972 | Physiker; Hochschullehrer
Finck, Otto | 1895–1992 | Pfarrer; Evangelischer Theologe
Bahrfeldt, Max von | 1856–1936 | Numismatiker; Offizier; Hochschullehrer
Buhlert, Hans | 1872–1915 | Agrarwissenschaftler
LASH Abt. 268, Nr. 430: Protokollum rev. capituli Lubicensis: Band 27
LASH Abt. 268 Nr. 540: Chronologischer Index zu den Bänden 12-21 des Kapitels-Protokolle (Nr. 415-424)
LASA, A 14, Nr. 304: Resignation der Minorpräbende des Herrn von Kleist an Herrn von Rochow
Bei der Filmaufnahme wohl aus dem Jahr 1950 handelt es sich um einen von mehreren privaten Filmen der Familie Klaetsch, in denen Alltagsszenen und inszenierte Geschichten durch die Familie geplant und aufgenommen wurden. Der Film inszeniert das Märchen „Schneeweißchen und Rosenrot“. Er beginnt an einem Wildgehege im Wald und leitet dann in die eigentliche Darstellung über. Die Frauen sind bei der Handarbeit zu sehen, während der Bär zur Familie kommt und Aufnahme findet. Der Film spielt bei einem Gartenhaus, später im Wald. Der Schwarzweiß-Stummfilm hat eine Länge von 7:30 Minuten.
Bernstein, Julius | 1839–1917 | Physiologe; Arzt; Hochschullehrer
Geldner, Karl F. | 1852–1929 | Indologe; Orientalist
Alberti, Heinrich Christian | 1722–1782 | Arzt
Cantor, Georg | 1845–1918 | Mathematiker
Forster, Johann Reinhold | 1729–1798 | Naturwissenschaftler; Forschungsreisender; Theologe; Pfarrer; Hochschullehrer
Fehr, Hans | 1874–1961 | Jurist; Historiker; Schriftsteller; Hochschullehrer; Kunsthistoriker
Bei der Filmaufnahme von ca. 1948/49 handelt es sich um einen von mehreren privaten Filmen der Familie Klaetsch, in denen Alltagsszenen und inszenierte Geschichten durch die Familie geplant und aufgenommen wurden. Der Film zeigt im Freien spielende Kinder im Garten des Ackerwegs in der Gartenstadt Halle (Saale). Die älteste Tochter tritt als Zauberkünstler(in) „Hildingisi“ auf und wird von den beiden jüngeren Schwestern assistiert. Dabei kommen mehrere Verwandlungstricks vor, die durch filmische Tricks ergänzt werden. Der Film besitzt eine Länge von 2:00 Minuten. Das Entstehungsjahr wurde nach dem Alter der Kinder geschätzt.
Brode, Reinhold | 1856–1929 | Historiker; Lehrer
Aschner, Bernhard | 1883–1960 | Arzt; Gynäkologe; Physiologe; Chirurg; Endokrinologe; Medizinhistoriker; Übersetzer
Aichel, Otto | 1871–1935 | Arzt; Philosoph; Anthropologe
LASH Abt. 268 Nr. 408: Protocollum causarum capitularium ecclesie Lubicensis
LASA, A 14, Nr. 285: Die dem General von Schwerin konferierte Ripperdaische Präbende; item dessen Prätension in den Platz des verstorbenen Herrn von Ripperda gesetzt zu werden
LASA, A 14, Nr. 202: Wahl des Dechanten von Alvensleben
Goeters, Wilhelm | 1878–1953 | Kirchenhistoriker; Hochschullehrer
Erismann, Theodor | 1883–1961 | Psychologe; Hochschullehrer; Philosoph
Brandt, Georg | 1895–1968 | Arzt; Chirurg; Orthopäde; Hochschullehrer
LASA, A 14, Nr. 122: Einige Misshelligkeiten zwischen dem Domkapitel und dem Domherrn von Rochow
LASA, A 14, Nr. 126: Die dem König dem [so!] Westphalen wegen der von Preußen zugesicherten Fortdauer des Domkapitels gemachte Vorstellung
Francke, Gotthilf August | 1696–1769 | Evangelischer Theologe; Pfarrer; Hochschullehrer; Gymnasiallehrer; Schulleiter
Bosch, Clemens Emin | 1899–1955 | Philologe; Althistoriker; Numismatiker; Hochschullehrer
Grävinghoff, Walter | 1891–1975 | Kinderarzt
LASH Abt. 268 Nr. 417: Protokollum rev. capituli Lubicensis
Bei der Filmaufnahme von ca. 1941 handelt es sich um einen von mehreren privaten Filmen der Familie Klaetsch, in denen Alltagsszenen und inszenierte Geschichten durch die Familie geplant und aufgenommen wurden. Der Film zeigt die Inszenierung des abendlichen Feierabends der Familie. Während die Mutter das Abendbrot bereitet, kehrt der Vater mit dem Fahrrad von der Arbeit zurück und wird von der Tochter abgeholt. Man sieht die spielenden Kinder auf der Straße. Beim Essen und der Abendgestaltung wird die Inneneinrichtung des Hauses im Ackerweg in der Gartenstadt Halle (Saale) gezeigt. Später folgen Szenen des Spielens der Kinder, der Hausarbeit, der Körperpflege und des Schlafengehens der Kinder. Am Ende gestalten die Eltern ihre Freizeit mit Näharbeiten und Vorlesen.
Beck, Jacob Sigismund | 1761–1840 | Philosoph; Hochschullehrer
LASA, A 14, Nr. 296: Dem Herrn von Spiegel zu Pickelsheim vom König erteiltes Benificium a latere
Gellhorn, Ernst | 1893–1973 | Arzt; Physiologe; Hochschullehrer
Berndt, Erhard | 1900– | Agrarwissenschaftler
Fritsch, Heinrich | 1844–1915 | Gynäkologe; Arzt
Ersch, Johann Samuel | 1766–1828 | Bibliothekar; Bibliograf; Lexikograf; Literarhistoriker; Hochschullehrer
LASH Abt. 268 Nr. 414: Protokollum rev. capituli Lubicensis
Geisler, Walter | 1891–1945 | Geograf; Kartograf; Hochschullehrer; Raumplaner
Diehl, Ernst | 1874–1947 | Klassischer Philologe; Hochschullehrer
Bremer, Otto | 1862–1936 | Germanist; Dialektologe; Hochschullehrer; Philologe; Germanist; Literaturwissenschaftler
Baethgen, Friedrich | 1849–1905 | Theologe; Alttestamentler
LASA, A 14, Nr. 289: Resignation der Minorpräbende des katholischen Herrn von Sickingen
Bertram, Philipp Ernst | 1726–1777 | Jurist; Historiker
LASA, A 14, Nr. 258: Seniorateinkünfte, in specie die deshalb zwischen dem Senior vom Kannenberg und dem Subsenior von Neindorf entstandenen Streitigkeiten
Beschke, Erich | 1878– | Chemiker; Hochschullehrer
Güte, Heinrich Ernst | 1754–1805 | Evangelischer Theologe; Hochschullehrer; Pfarrer; Lehrer
LASA, A 14, Nr. 290: Elektenpräbende des Herrn von Kleist und dessen Aszension inter minores vor den Grafen von Wartenberg
Bernstein, Rudolf | 1880–1971 | Konstrukteur; Maschinenbaumechaniker; Dozent
LASA, A 13, Nr. 1123: Den numerum und die Namen der Elekten bei dem Dom allhier, auch welcher Religion dieselben zugetan sind
Behring, Emil von | 1854–1917 | Arzt; Wissenschaftler
Blume, Wilhelm von | 1867–1927 | Jurist; Abgeordneter
Ewerbeck, Christian Gottfried | 1761–1837
LASH Abt. 268 Nr. 450: Protokollum rev. capituli Lubicensis: Band 47
LASA, A 14, Nr. 111: Sammlung von Nachrichten über die Statuten und Observanzen bei Aufnahme der Kapitularen und Elekten
Gosche, Richard | 1824–1889 | Orientalist; Literarhistoriker
Becher, Erwin | 1890–1944 | Arzt; Internist; Hochschullehrer
Giese, Fritz | 1890–1935 | Psychologe; Tiefenpsychologe; Arbeitswissenschaftler; Hochschullehrer; Schriftsteller
LASH Abt. 268 Nr. 437: Protokollum rev. capituli Lubicensis: Band 34
LASA, A 14, Nr. 275: Herrn von Vieregks Prätension wegen Genusses der Präsentien und das als perpetuus Commissarius capituli zu Berlin zu habende Fixum von 133 Reichstalern
Enke, Willi | 1895–1974 | Psychiater; Neurologe; Arzt; Hochschullehrer
Ebers, Johann | 1742–1818 | Beamter; Literaturwissenschaftler
Clauswitz, Benedikt Gottlieb | 1692–1749 | Theologe; Religionswissenschaftler; Diakon; Pfarrer
Alt, Albrecht | 1883–1956 | Theologe; Alttestamentler; Archäologe; Hochschullehrer; Pfarrer; Historiker
Grammel, Richard | 1889–1964 | Physiker; Mechaniker; Ingenieur; Krankenpfleger; Hochschullehrer
Columbus, Arno | 1907–1960 | Agrarwissenschaftler; Diplomlandwirt
LASH Abt. 268 Nr. 411: Protocollum causarum capitularium ecclesie Lubicensis
LASH Abt. 268 Nr. 23: Persönliche Possessionsnehmung der Kanonikate
Elze, Karl | 1821–1889 | Philologe; Anglist; Literarhistoriker
Hoffmann, Friedrich | 1703–1766 | Arzt; Pharmakologe; Hochschullehrer
Kautzsch, Emil | 1841–1910 | Alttestamentler; Hochschullehrer; Evangelischer Theologe; Hebraist
LASA, A 14, Nr. 116: Elektion im Jahr 1782
Dzondi, Karl Heinrich | 1770–1835 | Arzt; Chirurg; Philosoph; Bibliothekar
Drews, Paul | 1858–1912 | Evangelischer Theologe; Diakon
Eisler, Paul | 1862–1935 | Arzt; Anatom; Prosektor; Hochschullehrer
Grell, Heinrich | 1903–1974 | Mathematiker
LASA, A 14, Nr. 261: Dem Herrn von Ende nach Absterben des Subseniors von Neindorf konferierte Präbende
Eckert-Möbius, Adolf | 1889–1976 | Arzt; Militärarzt; Hochschullehrer
Anton, Paul | 1661–1730 | Evangelischer Theologe; Pietist; Pfarrer; Hofprediger; Superintendent; Hochschullehrer; Prorektor
Bleier, Hubert | 1896–1979 | Diplomlandwirt; Genetiker; Pflanzenzüchter
Bessel-Hagen, Erich | 1898–1946 | Mathematiker
LASH Abt. 268 Nr. 471: Manual-Protokolle
LASH Abt. 268 Nr. 420: Protokollum rev. capituli Lubicensis
Dernburg, Heinrich | 1829–1907 | Jurist; Politiker; Abgeordneter
Calker, Fritz van | 1864–1957 | Jurist; Politiker
LASH Abt. 268, Nr. 429: Protokollum rev. capituli Lubicensis: Band 26
LASH Abt. 268, Nr. 427: Protokollum rev. capituli Lubicensis: Band 24
Brockelmann, Carl | 1868–1956 | Orientalist; Semitist; Turkologe; Hochschullehrer
Fischer, Hans Albrecht | 1874–1942 | Jurist; Hochschullehrer
Beyer, Justus Israel | 1696–1762 | Jurist; Philosoph
Buchholz, Hugo Ferdinand | 1866–1921 | Astronom; Mathematiker
Bunge, Paul | 1853–1926 | Arzt; Augenarzt; Militärarzt; Hochschullehrer
Dietzel, Karl Heinrich | 1893–1951 | Geograf; Ethnologe
LASH Abt. 268 Nr. 21: Alphabetische Studienbescheinigungen für Domherren zu Lübeck (Documenta studii biennalis)
Bilfinger, Carl | 1879–1958 | Staatsrechtslehrer; Hochschullehrer; Richter
Girard, Heinrich | 1814–1878 | Mineraloge; Geologe
Goltz, Friedrich | 1834–1902 | Physiologe
Franzen, Adam Wilhelm | 1718–1766 | Historiker; Philosoph
Flörcke, Johann Ernst von | 1695–1762 | Jurist; Hochschullehrer; Politiker; Hofrat; Regierungsrat; Geheimer Rat
Knapp, Georg Christian | 1753–1825 | Evangelischer Theologe; Hochschullehrer; Schulleiter; Konsistorialrat; Pietist; Theologe
Knoblauch, Karl Hermann | 1820–1895 | Physiker; Hochschullehrer
Klotz, Christian Adolf | 1738–1771 | Philologe; Philosoph; Bibliothekar; Schriftsteller; Satiriker
Klostermann, Erich | 1870–1963 | Patristiker; Theologe; Klassischer Philologe; Geistlicher; Hochschullehrer
Kleinknecht, Hermann | 1907–1960 | Klassischer Philologe; Hochschullehrer
Knapp, Johann Georg | 1705–1771 | Evangelischer Theologe; Pädagoge
Klatt, Berthold | 1885–1958 | Zoologe; Biologe; Hochschullehrer
Kitzinger, Friedrich | 1872–1943 | Jurist
Kisch, Guido | 1889–1985 | Jurist; Hochschullehrer
Klügel, Georg Simon | 1739–1812 | Mathematiker; Physiker; Hochschullehrer
Klein, Ernst Ferdinand | 1743–1810 | Jurist; Freimaurer
Kneise, Otto | 1875–1953 | Urologe; Gynäkologe; Militärarzt; Hochschullehrer
Klinkowski, Maximilian | 1904–1971 | Biologe
Mencken, Johann Kaspar Ludwig | 1752–1795 | Jurist
Marschall von Bieberstein, Fritz | 1883–1939 | Jurist
Meckel, Johann F. | 1781–1833 | Arzt; Anatom; Chirurg; Zoologe
Maass, Johann Gebhard Ehrenreich | 1766–1823 | Philosoph; Mathematiker; Liederdichter; Freimaurer
Mackenroth, Gerhard | 1903–1955 | Sozialwissenschaftler; Volkswirt; Hochschullehrer
Matzen, Peter Friedrich | 1909–1986 | Arzt; Orthopäde; Chirurg
Matz, Friedrich | 1843–1874 | Archäologe; Klassischer Philologe; Hochschullehrer
Martiny, Benno | 1871–1953 | Maschinenbauingenieur; Hochschullehrer
Marek, Gustav | 1840–1896 | Agrarwissenschaftler; Physiologe
Menner, Erich | 1900–1966 | Biologe; Dozent
Merkel, Franz Rudolf | 1881–1955 | Hochschullehrer; Religionswissenschaftler; Pfarrer; Militärgeistlicher
Meier, Georg Friedrich | 1718–1777 | Philosoph; Mathematiker
Maurenbrecher, Bertold | 1868–1943 | Philologe; Klassischer Philologe
Meier, Ernst von | 1832–1911 | Jurist; Kurator <Hochschule>
Mering, Josef | 1849–1908 | Arzt; Physiologe; Pharmakologe; Internist
Madihn, Georg Samuel | 1729–1784 | Jurist
Medicus, Fritz | 1876–1956 | Philosoph; Pädagoge
Mertner, Edgar | 1907–1999 | Literaturwissenschaftler
Meinert, Friedrich | 1757–1828 | Mathematiker; Astronom; Techniker; Philosoph; Schriftsteller; Leutnant; Militärwissenschaftler
Meckel, Philipp Friedrich Theodor | 1755–1803 | Arzt
Menzer, Paul | 1873–1960 | Philosoph; Pädagoge; Hochschullehrer
Meissner, Bruno | 1868–1947 | Orientalist
Meier, John | 1864–1953 | Volkskundler; Germanist; Mediävist
Gabriel, Paul | 1883–1964 | Pfarrer; Komponist; Evangelischer Theologe
Beyer, Albert Kurt | 1907–1956 | Geologe
Dähne, August Ferdinand | 1807–1878 | Evangelischer Theologe; Philosoph
Bei der Filmaufnahme von ca. 1946/47 handelt es sich um einen von mehreren privaten Filmen der Familie Klaetsch, in denen Alltagsszenen und inszenierte Geschichten durch die Familie geplant und aufgenommen wurden. Der Film zeigt eine Inszenierung der Geschichte der Heinzelmännchen, die durch die drei Töchter dargestellt werden. Sie entlasten die Mutter durch Haus- und Küchenarbeit. Dabei werden die Innenräume und die Einrichtung des Hauses im Ackerweg in der Gartenstadt Halle (Saale) gezeigt. Die etwa zweijährige Tochter macht eine Vorwärtsrolle. Es handelt sich um einen Schwarzweiß-Film ohne Ton. Der Film besitzt eine Länge von 5:09 Minuten. Das Entstehungsjahr wurde nach dem Alter der Kinder geschätzt.
Eigler, Gerhard | 1900–1975 | Arzt; Hals-Nasen-Ohren-Arzt; Direktor
LASH Abt. 268 Nr. 456: Manual-Protokolle
Baesecke, Georg | 1876–1951 | Mediävist; Germanist; Hochschullehrer; Philologe; Schriftsteller; Hochschullehrer
Erdmann, Benno | 1851–1921 | Philosoph; Psychologe
Blass, Friedrich | 1843–1907 | Klassischer Philologe; Pädagoge; Lehrer; Oberlehrer
Fleischer, Johann Lorenz | 1691–1749 | Jurist
Endemann, Friedrich | 1857–1936 | Jurist
Grötzsch, Herbert | 1902–1993 | Mathematiker
Buddeus, Johann Franz | 1667–1729 | Evangelischer Theologe; Philosoph; Orientalist; Hochschullehrer; Gymnasiallehrer
Gruber, Johann Daniel | 1688–1748 | Jurist; Hofrat; Bibliothekar; Historiker
Gallwitz, Hans | 1896–1958 | Geologe; Paläontologe
LASH Abt. 268 Nr. 26: Präsenz der Domherren zu Lübeck
Bei der Filmaufnahme ungefähr aus dem Jahr 1948 handelt es sich um einen von mehreren privaten Filmen der Familie Klaetsch, in denen Alltagsszenen und inszenierte Geschichten durch die Familie geplant und aufgenommen wurden. Der Film zeigt den Alltag und Tagesablauf der Familie Klaetsch vom morgendlichen Aufstehen bis zum Mittag. Dabei erhält man Einblick in das Haus und die Inneneinrichtung der Wohnung im Ackerweg der Gartenstadt Halle (Saale). Zudem wird das Verhältnis zwischen Kindern und Eltern im Alltag deutlich. Thematisch werden Körperpflege, Mahlzeiten, Haushaltstätigkeiten, Heizen sowie Reinigungsarbeiten bearbeitet. Der Schwarzweiß-Stummfilm hat eine Länge von 5:52 Minuten.
LASH Abt. 268 Nr. 412: Protocollum causarum capitularium ecclesie Lubicensis
Cellarius, Christoph | 1638–1707 | Historiker; Klassischer Philologe; Orientalist; Gymnasiallehrer; Hochschullehrer
Gerike, Peter | 1693–1750 | Anatom; Arzt; Chemiker; Hochschullehrer; Leibarzt; Hofrat; Selbstverleger
Genzmer, Alfred | 1851–1912 | Chirurg; Hochschullehrer
Bei der Filmaufnahme von ca. 1949 handelt es sich um einen von mehreren privaten Filmen der Familie Klaetsch, in denen Alltagsszenen und inszenierte Geschichten durch die Familie geplant und aufgenommen wurden. Der Film zeigt eine Inszenierung des Märchens „Hänsel und Gretel“, das im Garten des Ackerwegs in der Gartenstadt Halle (Saale) aufgenommen wurde. Die Töchter sowie ein Junge spielen das Märchen verkleidet in verschiedenen Szenen und unter Einsatz von filmischer Tricktechnik. Es handelt sich um einen Farbfilm ohne Ton. Der Film besitzt eine Länge von 2:48 Minuten. Das Entstehungsjahr wurde nach dem Alter der Kinder geschätzt.
Falke, Friedrich | 1871–1948 | Agrarwissenschaftler; Hochschullehrer
Bumm, Ernst | 1858–1925 | Arzt; Gynäkologe; Naturwissenschaftler
Duncker, Maximilian Wolfgang | 1811–1886 | Historiker; Archivar; Hochschullehrer; Politiker
Erdmann, Ernst | 1857–1925 | Chemiker; Hochschullehrer
Zeitraum: Gesamtlaufzeit 1713 - 1756, vermutlich die späteren Jahre davon
LASA, A 14, Nr. 263, Bd. III: Vom König erteilte Expektanzen und Kollationspatente
LASH Abt. 268 Nr. 438: Protokollum rev. capituli Lubicensis: Band 35
Bei der Filmaufnahme um das Jahr 1941/42 handelt es sich um einen von mehreren privaten Filmen der Familie Klaetsch, in denen Alltagsszenen und inszenierte Geschichten durch die Familie geplant und aufgenommen wurden. Der Film inszeniert das Märchen „Aschenbrödel“. Er spielt in großen Teilen in der Moritzburg Halle (Saale) und zeigt wichtige Szenen des bekannten Märchens. Dabei handelt es sich um einen der wenigen Farbfilme. Leider bleibt die Qualität des Films mit einer Länge von 3:10 Minuten aber minderwertig.
Alverdes, Friedrich | 1889–1952 | Zoologe
LASA, A 14, Nr. 409: Von dem Freiherrn von Galen an den Freiherrn Korf, genannt Schneising resignierte Elektenpräbende
Carrach, Johann Philipp von | 1730–1769 | Jurist
LASH Abt. 268 Nr. 443: Protokollum rev. capituli Lubicensis: Band 40
Behmann, Heinrich | 1891–1970 | Mathematiker; Logiker; Hochschullehrer
LASH Abt. 268 Nr. 433: Protokollum rev. capituli Lubicensis: Band 30
Alverdes, Kurt | 1896–1959 | Arzt; Militärarzt; Hochschullehrer
Gruner, Johann Friedrich | 1723–1778 | Theologe; Pädagoge; Historiker
Balthasar, Karl | 1868–1937 | Pfarrer; Organist; Lehrer
Beer, Georg | 1865–1946 | Evangelischer Theologe; Orientalist; Hochschullehrer
Fischer, Friedrich Christoph Jonathan | 1750–1797 | Staatsrechtslehrer; Jurist; Publizist; Historiker
Doetsch, Gustav | 1892–1977 | Mathematiker; Hochschullehrer; Offizier
LASH Abt. 268 Nr. 444: Protokollum rev. capituli Lubicensis: Band 41
Gerstenberg, Kurt | 1886–1968 | Kunsthistoriker; Hochschullehrer
Delling, Gerhard | 1905–1986 | Theologe; Hochschullehrer
LASA, A 15, Da 16, Nr. 1391: Unvorsichtige Entleibung des Hans Pinecken, Backmeister zu Diesdorf, mit einem Dolche durch den Diesdorfer Propst Christoph von der Schulenburg
Graßmann, Hermann | 1857–1922 | Mathematiker; Gymnasiallehrer
LASA, A 14, Nr. 246: Verschiedene alte und neue Präbendensachen. Primariae preces für den Markgrafen Georg Albrecht von Bayreuth; Provisionen für Blumenthal, Kannenberg, Graf von der Lippe, Marschall, Diepenbroich und Ripperda
Ewald, Albert Ludwig | 1832–1903 | Historiker; Forstwissenschaftler
LASH Abt. 268 Nr. 451: Protokollum rev. capituli Lubicensis: Band 48
Böhmer, Johann Samuel Friedrich von | 1704–1772 | Jurist; Hochschullehrer
Dörries, Hermann | 1895–1977 | Kirchenhistoriker; Theologe; Hochschullehrer
LASH Abt. 268 Nr. 421: Protokollum rev. capituli Lubicensis
Berger, Arnold Erich | 1862–1948 | Philologe; Germanist
LASA, A 14, Nr. 301: Resignation der Minorpräbende des Herrn August Friedrich von der Asseburg
Ahrens, Walther | 1910–1981 | Mikrobiologe; Arzt
LASA, A 14, Nr. 282: Resignation der Majorpräbende des Obristen von Schlieben
Grunke, Wilhelm | 1895–1975 | Arzt; Internist; Hochschullehrer
LASA, A 14, Nr. 249: Die dem Herzog Philipp Ernst konferierte Gräflich Lippische Präbende und deren Zession an den Herrn von Planitz
Frauendienst, Werner | 1901–1966 | Historiker; Hochschullehrer
Noack, Erwin | 1899–1967 | Rechtsanwalt; Notar; Funktionär; Nationalsozialist
Nettelbladt, Daniel | 1719–1791 | Jurist; Hochschullehrer
Neumann, Ernst Richard | 1875–1955 | Mathematiker; Physiker
Nicolai, Gottlob Samuel | 1725–1765 | Evangelischer Theologe; Hochschullehrer; Pfarrer; Gymnasiallehrer
Nicolai, Ernst Anton | 1722–1802 | Arzt; Chemiker; Hochschullehrer
Nicolaisen, Wilhelm | 1901–1973 | Agrarwissenschaftler; Hochschullehrer
Nitschke, Alfred | 1898–1960 | Kinderarzt; Arzt; Hochschullehrer
Nebelthau, Johann Eberhard | 1864–1914 | Arzt; Internist
Neumann, Karl Johannes | 1857–1917 | Historiker
Niese, Benedikt | 1849–1910 | Historiker; Althistoriker; Klassischer Philologe; Hochschullehrer
Neiss, Fritz | 1883–1952 | Mathematiker; Lehrer; Oberstudienrat; Hochschullehrer
Niemeyer, August Hermann | 1754–1828 | Evangelischer Theologe; Pädagoge; Hochschullehrer; Direktor; Schriftsteller; Kirchenlieddichter; Librettist; Selbstverleger
Niemeyer, Theodor | 1857–1939 | Jurist; Hochschullehrer
Nösselt, Johann August | 1734–1807 | Evangelischer Theologe; Hochschullehrer
Noack, Ulrich | 1899–1974 | Historiker; Hochschullehrer; Historiker
Noll, Fritz | 1858–1908 | Botaniker; Schriftsteller
Nuehsmann, Theodor | 1885–1962 | Arzt; Hochschullehrer
Noack, Kurt | 1888–1963 | Biologe; Botaniker; Biochemiker; Bakteriologe; Direktor; Hochschullehrer
Oberst, Maximilian | 1849–1925 | Arzt; Chirurg; Hochschullehrer
Oeschey, Rudolf | 1879–1944 | Jurist; Hochschullehrer
Nürnberger, Ludwig | 1884–1959 | Gynäkologe; Militärarzt; Hochschullehrer
Oberbeck, Anton | 1846–1900 | Physiker; Hochschullehrer
Olshausen, Robert | 1835–1915 | Arzt; Gynäkologe
Oppel, Albert | 1863–1916 | Arzt; Histologe
Orth, Albert | 1835–1915 | Agrarwissenschaftler
Ostrow-Ostrowsky, Martin von | Mathematiker
Pauli, Karl Friedrich | 1723–1778 | Jurist; Historiker; Hochschullehrer
Perels, Emil | 1837–1893 | Ingenieur; Hochschullehrer
Otto, Martin Heinrich | 1706–1738 | Philosoph; Jurist; Hochschullehrer
Palme, Franz | 1907–1960 | Arzt; Hochschullehrer
Michaelis, Johann Heinrich | 1668–1738 | Orientalist; Evangelischer Theologe; Philologe; Hochschullehrer; Bibliothekar
Michaelis, Christian Benedict | 1680–1764 | Orientalist; Evangelischer Theologe; Hochschullehrer; Bibliothekar
Meyer, Eduard | 1855–1930 | Althistoriker; Kirchenhistoriker; Klassischer Philologe; Bibliothekar; Ägyptologe; Altorientalist; Hochschullehrer
Mitscherlich, Waldemar | 1877–1961 | Volkswirt; Staatswissenschaftler; Soziologe
Meyer, Ludwig | 1894–1964 | Bodenkundler; Hochschullehrer
Mitteis, Heinrich | 1889–1952 | Jurist; Historiker; Hochschullehrer
Mohr, Leo | 1874–1918 | Internist; Arzt; Militärarzt; Hochschullehrer
Meyer, Gottfried | 1855–1933 | Regierungsrat
Mothes, Kurt | 1900–1983 | Biochemiker; Pflanzenphysiologe; Biologe; Apotheker; Hochschullehrer
Moser, Hans Joachim | 1889–1967 | Musiker; Sänger; Bariton <Sänger>; Schriftsteller; Gesangslehrer; Musikwissenschaftler
Mie, Gustav | 1868–1957 | Physiker; Dozent; Hochschullehrer
Michel, Otto | 1903–1993 | Judaist; Neutestamentler; Hochschullehrer; Evangelischer Theologe; Pfarrer
Müller, Julius August | 1889– | Apotheker; Lebensmittelchemiker; Dozent
Müller, Karl Friedrich | 1852–1940 | Evangelischer Theologe; Kirchenhistoriker; Hochschullehrer
Mueller, Berthold | 1898–1976 | Hochschullehrer; Arzt; Rechtsmediziner; Medizinhistoriker
Müller, August | 1848–1892 | Orientalist; Arabist; Hochschullehrer
Müldener, Johann Christian | –1710 | Jurist; Hochschullehrer; Hofrat
Müller, Otto | 1885–1964 | Elektroingenieur; Physiker; Hochschullehrer
Mrugowsky, Joachim | 1905–1948 | Arzt; Biologe; Botaniker
Müller, Ernst Friedrich Karl | 1863–1935 | Evangelischer Theologe; Pfarrer
Müller, Julius | 1801–1878 | Evangelischer Theologe; Prediger; Theologe
Mulertt, Werner | 1892–1944 | Romanist; Hochschullehrer
Mulert, Hermann | 1879–1950 | Evangelischer Theologe
Moldenhauer, Gerhard | 1900–1980 | Romanist; Historiker; Philologe; Mediävist; Hochschullehrer
Montfort, Camill | 1890–1956 | Botaniker; Hochschullehrer
Muff, Christian | 1841–1911 | Klassischer Philologe; Germanist
Muhs, Karl | 1891–1954 | Wirtschaftswissenschaftler
Nachtweh, Alwin | 1868–1939 | Ingenieur; Techniker
Nasse, Otto | 1839–1903 | Arzt; Hochschullehrer; Pharmakologe; Physiologe
Mestwerdt, Gustav | 1910–1979 | Arzt; Gynäkologe
Metzger, Wolfgang | 1899–1979 | Psychologe; Hochschullehrer
Meumann, Ernst | 1862–1915 | Psychologe; Pädagoge; Philosoph
Meusel, Hermann | 1909–1997 | Botaniker; Biologe
Peucker, Johann Georg Gottlieb | 1764–1830 | Philologe
Pfeifer, Berthold | 1871–1942 | Psychiater; Arzt; Schiffsarzt; Militärarzt; Hochschullehrer
Peyer, Willy | 1882–1948 | Apotheker; Chemiker; Pharmazeut; Dozent
Philippi, Johann Ernst | 1700–1758 | Jurist; Philologe; Hochschullehrer; Selbstverleger
Piersig, Johannes | 1907–1998 | Komponist; Organist; Kirchenmusiker; Jurist; Arrangeur; Herausgeber
Philippson, Alfred | 1864–1953 | Geograf; Hochschullehrer
Pfeiffer, Friedrich | 1883–1961 | Mathematiker
Pietrusky, Friedrich | 1893–1971 | Rechtsmediziner; Rektor; Hochschullehrer
Polenske, Karl | 1881–1949 | Hochschullehrer; Jurist; Schriftsteller
Praechter, Karl | 1858–1933 | Klassischer Philologe; Gymnasiallehrer; Hochschullehrer
Pott, August Friedrich | 1802–1887 | Philologe; Evangelischer Theologe
Pose, Heinz | 1905–1975 | Physiker; Atomphysiker; Hochschullehrer
Pott, Richard | 1844–1903 | Arzt; Kinderarzt
Prange, Christian Friedrich | 1756–1836 | Kunsterzieher; Philosoph; Jurist; Hochschullehrer
Pringsheim, Ernst G. | 1881–1970 | Mikrobiologe; Botaniker; Übersetzer; Direktor; Hochschullehrer
Praetorius, Franz | 1847–1927 | Orientalist; Philologe
Preisker, Herbert | 1888–1952 | Evangelischer Theologe
Prange, Georg | 1885–1941 | Mathematiker; Hochschullehrer
Printz, Wilhelm | 1887–1941 | Indologe; Bibliothekar; Hochschullehrer
Pönitz, Karl | 1888–1973 | Neurologe; Psychologe; Hochschullehrer
Rosenbaum, Georg August Wilhelm Julius | 1807–1874 | Arzt
Rothmann, Hans | 1899–1970 | Arzt; Internist; Militärarzt
Rudolph, Albert | 1901– | Wirtschaftsgeograf; Hochschullehrer
Ruttenbeck, Walter | 1890–1964 | Theologe; Pfarrer; Sanitäter; Krankenhausseelsorger; Hochschullehrer
Römer, Paul H. | 1876–1916 | Bakteriologe; Arzt; Hochschullehrer
Ruville, Albert von | 1855–1934 | Historiker; Hochschullehrer
Rüdiger, Johann Christian Christoph | 1751–1822 | Linguist; Hochschullehrer
Rümker, Kurt von | 1859–1940 | Agrarwissenschaftler; Landwirt
Rosenfeld, Ernst Heinrich | 1869–1952 | Jurist; Hochschullehrer
Rosenberger, Otto August | 1800–1890 | Astronom; Mathematiker
Roth, Heinrich Albert | 1900–1973 | Agrarwissenschaftler
Rothstein, Johann Wilhelm | 1853–1926 | Alttestamentler; Theologe
Roux, Wilhelm | 1850–1924 | Biologe; Naturphilosoph; Anatom
Ruhland, Wilhelm | 1878–1960 | Botaniker; Wissenschaftshistoriker; Hochschullehrer; Zeitungsverleger
Rudorf, Wilhelm | 1891–1969 | Pflanzenzüchter; Agrarwissenschaftler; Hochschullehrer
Ruth, Rudolf | 1888–1942 | Jurist; Gerichtsassessor; Hochschullehrer
Runge, Franz | 1893–1973 | Chemiker; Hochschullehrer
Sauerwald, Franz | 1894–1979 | Chemiker; Hochschullehrer
Rachfahl, Felix | 1867–1925 | Historiker
Rausch, Alfred | 1858–1939 | Pädagoge; Schulleiter; Philosoph
Rauterberg, Eduard | 1898–1977 | Agrikulturchemiker
Reuter, Johann Hartwig | 1725–1773 | Jurist; Hochschullehrer
Ritschl, Otto | 1860–1944 | Evangelischer Theologe; Hochschullehrer
Ritter, Otto | 1876–1963 | Philologe; Anglist; Hochschullehrer
Rasch, Wolfdietrich | 1903–1986 | Philologe; Literaturwissenschaftler; Hochschullehrer
Rebeur-Paschwitz, Ernst von | 1861–1895 | Geophysiker; Astronom
Reess, Max | 1845–1901 | Botaniker; Biologe
Rehme, Paul | 1867–1941 | Jurist; Hochschullehrer
Richter, Friedrich Adolph | 1748–1797 | Arzt
Roloff, Friedrich Heinrich | 1830–1885 | Tierarzt
Ranke, Hans Rudolf | 1849–1887 | Chirurg; Hochschullehrer; Arzt
Reinhold, Hermann | 1893–1940 | Chemiker; Hochschullehrer
Reitzenstein, Erich | 1897–1976 | Klassischer Philologe; Hochschullehrer
Reuter, Fritz | 1896–1963 | Komponist; Musikwissenschaftler; Herausgeber; Dirigent; Komponist; Dramaturg
Riehl, Alois | 1844–1924 | Philosoph; Hochschullehrer
Roemer, Theodor | 1883–1951 | Agrarwissenschaftler; Hochschullehrer
Rojahn, Carl August | 1889–1938 | Hochschullehrer; Chemiker
Rambach, Johann Jakob | 1693–1735 | Evangelischer Theologe; Kirchenlieddichter; Pfarrer; Superintendent; Hochschullehrer; Schulleiter
Rahlwes, Alfred | 1878–1946 | Musikdirektor; Komponist; Dirigent; Komponist
Reichenbach, Erwin | 1897–1973 | Zahnarzt
Reil, Johann Christian | 1759–1813 | Arzt; Internist; Anatom; Autor; Arzt
Reiner, Hans | 1896–1991 | Philosoph; Pädagoge; Hochschullehrer
Reinhard, Conrad Friedrich | 1692–1728 | Philosoph; Jurist
Riehm, Eduard Karl August | 1830–1888 | Evangelischer Theologe
Rietschel, Siegfried | 1871–1912 | Jurist
Rooks, Gerhard | 1901–1975 | Arzt; Hochschullehrer
Rive, Richard Robert | 1864–1947 | Oberbürgermeister; Jurist
Robert, Carl | 1850–1922 | Archäologe; Klassischer Philologe; Hochschullehrer
Sattelmacher, Paul | 1879–1947 | Jurist; Richter; Ministerialrat
Scheibe, Max | 1870–1902 | Evangelischer Theologe
Schlottmann, Constantin | 1819–1887 | Evangelischer Theologe; Orientalist; Hochschullehrer
Schmaltz, Kurt | 1900–1995 | Wirtschaftswissenschaftler; Diplomkaufmann; Wirtschaftsprüfer; Steuerberater; Hochschullehrer
Schmalfuß, Karl | 1904–1976 | Biologe; Agrarwissenschaftler; Bodenkundler
Schmelzeisen, Gustaf Klemens | 1900–1982 | Jurist; Hochschullehrer
Schmidt, Adolf | 1865–1918 | Arzt; Internist; Politiker; Militärarzt; Hochschullehrer; Rektor
Schmidt-Hoensdorf, Fritz | 1889–1967 | Hochschullehrer; Tierarzt; Zoologe
Schmidt, Paul | 1872–1950 | Arzt; Bakteriologe; Schiffsarzt; Hochschullehrer
Schmidt, Richard | 1866–1939 | Übersetzer; Indologe
Schmidt-Rimpler, Walter | 1885–1975 | Jurist; Hochschullehrer
Schmieden, Victor | 1874–1945 | Arzt; Chirurg; Hochschullehrer
Schachtschabel, Hans | 1914–1993 | Volkswirt; Hochschullehrer
Schaedel, Bernhard | 1878–1926 | Philologe; Romanist
Schardt, Alois | 1889–1955 | Kunsthistoriker; Hochschullehrer
Scharff, Alexander | 1892–1950 | Ägyptologe; Kurator <Museumskunde>; Hochschullehrer
Scheffer, Fritz | 1899–1979 | Agrarwissenschaftler; Hochschullehrer; Bodenkundler
Schenck, Adolf | 1857–1936 | Geograf; Mineraloge; Botaniker; Forschungsreisender; Hochschullehrer
Schenck, Günther Otto | 1913–2003 | Chemiker; Hochschullehrer
Scherer, Alexander Nicolaus | 1771–1824 | Physiker; Chemiker; Apotheker; Staatsrat
Schering, Arnold | 1877–1941 | Musikwissenschaftler; Hochschullehrer; Musikkritiker; Herausgeber; Komponist
Schleiermacher, Friedrich | 1768–1834 | Evangelischer Theologe; Pädagoge; Übersetzer; Philosoph; Hochschullehrer; Prediger; Schriftsteller
Schirmer, Otto | 1864–1917 | Augenarzt; Arzt
Schlier, Heinrich | 1900–1978 | Neutestamentler; Patristiker; Katholischer Theologe; Hochschullehrer
Schlitte, Johann Gerhard | 1683–1748 | Jurist; Hofrat
Schlüter, Otto | 1872–1959 | Geograf; Hochschullehrer
Schmeizel, Martin | 1679–1747 | Jurist; Historiker; Selbstverleger; Heraldiker
Schmalz, Theodor von | 1760–1831 | Jurist
Schmid, Günther | 1888–1949 | Botaniker; Hochschullehrer
Schmidt, Friedrich Wilhelm | 1893–1945 | Theologe; Seelsorger; Religionslehrer; Hochschullehrer
Schmidt, Hans | 1877–1953 | Alttestamentler; Pfarrer; Hochschullehrer; Evangelischer Theologe; Offizier; Kriegsteilnehmer; Kriegsgefangener
Schmidt, Karl Eduard Franz | 1862–1946 | Physiker; Hochschullehrer
Schmidt-Rimpler, Hermann | 1838–1915 | Augenarzt
Schmitz, Friedrich Karl Johann | 1850–1895 | Botaniker
Schmoller, Gustav von | 1838–1917 | Wirtschaftswissenschaftler; Sozialwissenschaftler; Hochschullehrer; Volkswirt
Schnabel, Paul | 1887–1947 | Historiker; Althistoriker; Altorientalist; Lehrer; Hochschullehrer
Schneider, Ferdinand Josef | 1879–1954 | Germanist; Literarhistoriker; Philologe; Hochschullehrer
Institut für Meteorologie und Klimaforschung Atmosphärische Aerosolforschung (IMKAAF), Karlsruher Institut für Technologie (KIT)
Data of publication "Comparison of scanning aerosol LIDAR and in situ measurements of aerosol physical properties and boundary layer heights"
The spatiotemporal distribution of aerosol particles in the atmosphere has a great impact on radiative transfer, clouds, and air quality. Modern remote sensing methods, as well as airborne in situ measure- ments by unpiloted aerial vehicles (UAV) or balloons, are suitable tools to improve our understanding of the role of aerosol particles in the atmosphere. To validate the measurement capabilities of three relatively new measurement systems and to bridge the gaps that are often encountered between remote sensing and in situ ob- servation, as well as to investigate aerosol particles in and above the boundary layer, we conducted two measure- ment campaigns and collected a comprehensive dataset employing a scanning aerosol lidar, a balloon-borne ra- diosonde with the Compact Optical Backscatter Aerosol Detector (COBALD), an optical particle counter (OPC) on a UAV, and a comprehensive set of ground-based instruments. The extinction coefficients calculated from near-ground-level aerosol size distributions measured in situ are well correlated with those retrieved from lidar measurements, with a slope of 1.037 ± 0.015 and a Pearson correlation coefficient of 0.878, respectively. Verti- cal profiles measured by an OPC-N3 on a UAV show similar vertical particle distributions and boundary layer heights to lidar measurements. However, the sensor, OPC-N3, shows a larger variability in the aerosol backscat- ter coefficient measurements, with a Pearson correlation coefficient of only 0.241. In contrast, the COBALD data from a balloon flight are well correlated with lidar-derived backscatter data from the near-ground level up to the stratosphere, with a slope of 1.063 ± 0.016 and a Pearson correlation coefficient of 0.925, respectively. This consistency between lidar and COBALD data reflects the good data quality of both methods and proves that lidar can provide reliable and spatial distributions of aerosol particles with high spatial and temporal resolutions. This study shows that the scanning lidar has the capability to retrieve backscatter coefficients near the ground level (from 25 to 50 m above ground level) when it conducts horizontal measurement, which is not possible for verti- cally pointing lidar. These near-ground-level retrievals compare well with ground-level in situ measurements. In addition, in situ measurements on the balloon and UAV validated the scanning lidar retrievals within and above the boundary layer. The scanning aerosol lidar allows us to measure aerosol particle distributions and profiles from the ground level to the stratosphere with an accuracy equal to or better than in situ measurements and with a similar spatial resolution.
Comparison of scanning aerosol LIDAR and in situ measurements of aerosol physical properties and boundary layer heights
Institut für Nanotechnologie (INT), Karlsruher Institut für Technologie (KIT)
This is the source code for data generation and plotting accompanying the work "Noisy Qudit vs Multiple Qubits: Conditions on Gate Efficiency for Enhanced Fidelity" (2024) by D.Jankovic, J-G. Hartmann, P-A. Hervieux, M. Ruben. This jupyter IPython notebook contains a section per figure or pair of figures. Each section imports and/or generates and saves the data that are then plotted. The dat/ folder contains the pulses generated as described in the Methods section of the paper. "qudit.py" is a custom library for easy interfacing of qudit systems with qutip.
Source Code for data generation and pulses data for Noisy Qudit vs Multiple Qubits
Institut für Katalyseforschung und -technologie
Institut für Technische Chemie und Polymerchemie
An archive with xyz-coordinates of atoms in 4-layer Pt(100) slabs and species present in their surface or interstitial locations under conditions of ammonia oxidation over Pt-based catalysts. The species enclosed are O, N, and NHx. The atomic coordinates of these structures were optimized by DFT and are available in txt format.
Atomic coordinates of DFT-optimized Pt structures with O, N, and NHx species in surface or interstitial locations
Karlsruher Institut für Technologie (KIT)
Institut für Mikrostrukturtechnik (IMT), Karlsruher Institut für Technologie (KIT)
Lichttechnisches Institut (LTI), Karlsruher Institut für Technologie (KIT)
This files contain the design of an modular linear stage for optoelectronic measurements as well as example software for measurements. It is build from open hardware parts (uStepperS and C-Beam Linear Actuator), commercial available parts, a designed shield for the hardware control as well as custom made laser-cut parts. The composition, the designed hardware and software is licenced under a free GPLv3 licence (see bottom of this page).
# Modular linear experiment stage This files contain the design of an modular linear stage for optoelectronic measurements as well as example software for measurements. It is build from open hardware parts (uStepperS and C-Beam Linear Actuator), commercial available parts, a designed shield for the hardware control as well as custom made laser-cut parts. The composition, the designed hardware and software is licenced under a free GPLv3 licence (see bottom of this page). Licences of the used components: * [C-Beam Linear Actuator](https://openbuildspartstore.com/c-beam-tension-xl-linear-actuator-bundle/) OpenBuilds®, LLC design work(s) shared Open Source under the CC BY-SA 4.0 License Terms and Conditions * [uStepperS](https://github.com/uStepper/uStepperS) by ON Development is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. ![modular_setup](https://codeberg.org/LibrEars/modular-linear-experiment-stage/media/branch/main/modular_setup.png) ## Controle software for the 'uStepper S' This module is used with the 'uStepper S' and the custom made shield for distance measuring with angle dependancy. ### Usage You can use the setup via the manual rotary encoder switch or via the serial commant (use arduino-GUI and serial window or see python example) ``` --- Proximity reference setup ------------------------------------ Manual mode: Turn the knob to change the distance / angle"); Click once to change the step size"); Double-click to change between distance and rotation"); Press > 1 second to set the distance / angle to 0"); PC mode (via serial): Type the distance (mm), speed (mm/s) and angle (°), seperated by a commata"); E.g. '20.0,40, 15' means 20.00 mm (v=40mm/s for distance) and 15.00°" ------------------------------------ ``` Somehow there is a bug with my board/software and setting the speed via stepper.setRPM(rpm) inside the code does not work properly. So do not expect the speed to be exact. ### Installation #### uStepper S The uStepper is programmed like an arduino bord with the Arduino IDE: https://www.arduino.cc/en/Main.Software To install the uStepper into the arduino IDE follow: https://github.com/uStepper/uStepperS #### Rotary encoder for angle motor To make the rotary encoder working, you may need to fix the Encoder.h (\Arduino\libraries\Encoder\utility\interrupt_pins) library by adding the PB version of the microcontroller `__AVR_ATmega328PB__` to the list: ``` // Arduino Uno, Duemilanove, Diecimila, LilyPad, Mini, Fio, uStepperS, etc... #elif defined(__AVR_ATmega328P__) || defined(__AVR_ATmega328PB__) || defined(__AVR_ATmega168__) || defined(__AVR_ATmega8__) #define CORE_NUM_INTERRUPT 2 #define CORE_INT0_PIN 2 #define CORE_INT1_PIN 3 ``` ### Interrupts Also on the uStepperS board the [interrupts do not work](https://github.com/uStepper/uStepperS/issues/31). A workaround is to use [Pin Change Interrupts](https://www.teachmemicro.com/arduino-interrupt-tutorial/). They are different than normal Interrupts ("might be a tiny bit slower and not that reliable because of that detection overhead (talking about micro seconds)") but there is an [arduino library](https://www.arduino.cc/reference/en/libraries/pinchangeinterrupt/). → seems to work with both motors and rotary encoder at the same time ! ### Distplay To get the display running with the uStepperS, we need to change its lib rgb_lcd.h: There is some wired behavior when using the serial of the uStepperS (ATmega328PB). Plugging the Grove-LCD RGB Backlight display in pins A1 (SDA0) and A2 (!!! this pin is changed [from A0 → A2 on my bord] but SCL0 is still there) the example code works. But pin D7 (SCL1) and D8 (SDA1) are somehow always HIGH which causes problems (not enough pins, strange behavior when uploading code with INX from ULN2003 driver on D7 &D8 ). To circumvent this behavior the display should be attached to SCL1 /SDA1. This is not possible by default due to missing firmware. Therefore we need to add support for the microcontroller: Sources: * https://github.com/MCUdude/MiniCore This lib adds support for the ATmega328PB, in detail for serial communication with the lib Wire1.h * https://www.instructables.com/How-to-share-i2C-connection-on-Due/ To get the display running, we need to change its lib rgb_lcd.h 1. Go to the folder \Arduino\libraries and copy the folder \Grove_-_LCD_RGB_Backlight and rename it to \Grove_-_LCD_RGB_Backlight_Serial1 2. In the Folder \Grove_-_LCD_RGB_Backlight_Serial1 rename the files rgb_lcd.cpp and rgb_lcd.h to rgb_lcd1.cpp and rgb_lcd1.h 3. Open the file rgb_lcd1.cpp with an text editor and change the lines `#include <Wire.h>` to `#include <Wire1.h>` `#include "rgb_lcd.h"` to `#include "rgb_lcd1.h"` 4. Also add the line ```extern TwoWire1 Wire1; // insert this line is the modification to include Wire1 (SDA1 / SCL1) .…``` 5. Then press ‘Ctrl+h’ to replace all function calls starting with `Wire.xxx()` with `Wire1.xxx()` ! Make sure to not replace the lines added above a second time 6. From now on in the arduino code always include `#include <Wire1.h>` and `#include "rgb_lcd1.h"` ### Design shield for µStepperS In order to also control a 28BYJ-48 stepper motor (e.g. for angle dependent reflectance measurements) or custom components that need high currents (e.g. high-power LEDs) a large part of the project was to design a shield. ![shield](https://codeberg.org/LibrEars/modular-linear-experiment-stage/media/branch/main/shield.png) **Software**: https://www.kicad.org/ * https://docs.kicad.org/5.0/en/getting_started_in_kicad/getting_started_in_kicad.html **Further reading**: * Digital pins (pullup & down resistors): - https://www.mymakerstuff.de/2016/03/22/arduino-tutorium-kapitel-5-pull-up-und-pull-down-widerst%C3%A4nde/ - https://www.arduino.cc/en/Tutorial/Foundations/DigitalPins * Stepper Motor driver - https://www.hwlibre.com/en/28byj-48/ - https://www.electronicoscaldas.com/datasheet/ULN2003A-PCB.pdf * Rotary encoder - https://lastminuteengineers.com/rotary-encoder-arduino-tutorial/amp/ - The switch needs a pullup resistor (similar to stop-switch) * Grove-LCD Display - https://wiki.seeedstudio.com/Grove-LCD_RGB_Backlight/ # 💌️ License Copyright (C) 2022-2023 Mervin Seiberlich and Konstantinos Falis Authors - Mervin Seiberlich, Konstantinos Falis The Modular linear experiment stage is free hardware and software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. experiment_evaluation is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with experiment_evaluation. If not, see https://www.gnu.org/licenses/.
In our report, we described a case study where we evaluate our approach for correctness quantification using Palladio and KeY. Here, we publish the corresponding Palladio Component Model files as well as the generated source code, in order to make them publicly available.
# README: Case Study (Age of Maturity) This archive contains the Palladio artifacts of the case study "AgeOfMaturity" of the Technical-Report "Model-driven Quantification of Correctness with Palladio and KeY" (DOI: 10.5445/IR/1000128855). The structure of this archive is as follows: * The folder "PalladioModels" contains the Palladio Component Model Eclipse Project of the "AgeOfMaturity" use case * The folder "DependencySolverResults" contains output files with the results of the solved "AgeOfMaturity" case study as described in the report * The folder "GeneratedJavaCode" contains Java-Code generated with the [PCM2Java](https://github.com/KASTEL-SCBS/PCM2Java) Project * The folder "PalladioDiagrams" contains the exported model diagrams of the "AgeOfMaturity" case study created for the technical report The usage of the Palladio Editor and the DependencySolver is explained in the following. ## Setup For usage of the artifacts, an Eclipse IDE with the installed Palladio Simulator is necessary. * Download and run a clean [Release of the **Eclipse Modeling Tools** 2020-06 IDE](https://www.eclipse.org/downloads/packages/release/2020-06/r/eclipse-modeling-tools) * Install the Palladio Simulator by using the [Eclipse Market Place](https://marketplace.eclipse.org/content/palladio-43-eclipse-2020-06) or the [Palladio Update Site](https://updatesite.palladio-simulator.com/palladio-build-updatesite/releases/latest/). Install at least the Palladio Component Model, the "Analyzer: Analytical Solver" and the Editors. ## Viewing and Modifying the Models * Import the Palladio AgeOfMaturity Project: * Open the Import Window in Eclipse (File --> Import --> General --> Existing Projects into Workspace) * In the opened Import Windows select the path to the "edu.kit.kastel.scbs.ageofmaturity" Project in the PalladioModels Folder. * Select "Finish" * Open the files with the suffix "_diagram", to view the models with the installed GMF Editors. ## Running the DependencySolver * Create a PCM Solver Run Configuration: (Run --> Run Configurations --> Call Context Menu for PCM Solver --> New Configuration) * Select the created Run Configuration * Configure Architecture Models in the Configuration (Select "Architecture Model(s)" Tab) * Insert Configuration Name * Under "Allocation File" insert the AgeOfMaturity.allocation file path (e.g. by using the "Workspace..." menu) * Under "Usage File" insert the AgeOfMaturity.allocation File Path (e.g. by using the "Workspace..." menu) * Configure the Solver (Select "Solver" Tab) * Select "SRES (Stochastic Regular Expression Solver)" * Uncheck "Use of Expression Model File" checkbox * Provide Path to an Output file in "Expression Model File" * Optional: Configure the Analysis to store Temporary Data(Select "Analysis Configuration" Tab) * Provide Location for storing the temporal data: Under "Location of temporary data", uncheck "use default location" checkbox and provide path to the location * Uncheck the "Delete temporary data after analysis" checkbox. ## Result Interpretation The computed usage/output shows the folded probabilities for each branch in the usage scenario and the visited service effect specifications. The probability to enter a critical section (see technical report) under the given usage model can be retrieved through inspection of the entries for the inserted branches for the critical sections.
Quantification of Correctness with Palladio and KeY: Case Study Data
For decades, scanning/transmission electron microscopy (S/TEM) techniques have been employed to analyze shear bands in metallic glasses and understand their formation in order to improve the mechanical properties of metallic glasses. However, due to a lack of direct information in reciprocal space, conventional S/TEM cannot characterize the local strain and atomic structure of amorphous materials, which are key to describe the deformation of glasses. For this work, we applied 4-dimensional STEM to map and directly correlate the local strain and the atomic structure at the nanometer scale in deformed metallic glasses. We observe residual strain fields with quadrupolar symmetry concentrated at dilated Eshelby inclusions. The strain fields percolate in a vortex-like manner building up the shear band. This provides a new understanding of the formation of shear bands in metallic glass.
The data format is DM4 (Gatan Microscopy Suite Software) and processed by lab-written Matlab code. 4D-STEM measurements were conducted using a Themis Z double-corrected TEM (Thermofisher Scientific) operated at 300 kV in microprobe STEM mode with spot size 6 and a semi-convergence angle of 0.26 mrad giving rise to a diffraction-limited probe size of ~5 nm. 4D-STEM records local 2D diffraction patterns over a 2D array of probe positions by stepwise scanning of the probe. The method is called 4D-STEM referring to its typical 4D dataset (2D diffraction pattern on a 2D array of the sample). We used a OneView camera (Gatan Inc.) with a camera length of 1.15 m to record the diffraction patterns. This camera length was chosen to capture the first diffuse diffraction ring with a sufficient diameter on the camera to enhance the sensitivity for measuring distortions. The 2nd diffuse diffraction ring was also included. This preserves the capability for PDF analysis. 4D-STEM maps were acquired with a step size of 5.8 nm and a frame size of 900×500 pixels for the Fe85.2Si0.5B9.5P4Cu0.8 metallic glass ribbon and a step size of 9.7 nm and a frame size of 350×270 pixels for the Zr46Cu38Al8Ag8 bulk metallic glass with an exposure time of 3.3 ms per frame (frame rate of ~300 f/s). The diffraction pattern of a typical amorphous material shows a diffuse ring pattern (Figure 1a). As described in previous works [23-24, 27], the local stress in the metallic glass induces a structural anisotropy, which results in an elliptic distortion of the diffraction ring leading to a deviation from the ideal circle as illustrated in Figure 1b (the diffraction pattern was artificially elongated for easy presentation). Therefore, the strain can be mapped by determining the ellipticity of the diffraction ring in each local diffraction pattern of the 4D-STEM dataset. Different from high-resolution (HR)TEM-based strain mapping methods such as geometric phase analysis (GPA), which analyzes real space atomic lattice displacements [49], the strain measurement used here analyzes the diffraction ring in the 4D-STEM data. It thus enables the capability to measure strain for amorphous materials and a large field of view (up to micrometers).
Direct observation of quadrupolar strain fields surrounding Eshelby inclusions in metallic glasses
Supplementary data for referenced paper. For more information, see README.md
Data for Paper: Magnetic 2π domain walls for tunable Majorana devices (arXiv)
Atmosphärische Spurenstoffe und Fernerkundung
COCCON column-averaged greenhouse gas abundances collected in the framework of MOSES ScaleX Campaign 2019
Column averaged greenhouse gas abundances have been measured with a COCCON EM27/SUN FTIR spectrometer in the framework of the MOSES ScaleX campaign in the period May – July 2019. The processing of the spectra has been performed at the COCCON CPDHF (Central Processing and Data Handling Facility) operated by KIT. Abundances are reported for water vapour, carbon dioxide, methane, and carbon monoxide.
MOSES ScaleX COCCON EM27/SUN Remote Sensing Greenhouse Gases
Okinawa Institute of Science and Technology Graduate University(OIST)
Processed micro-tomographic scan of the ant Cyphomyrmex cf minutus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Aphaenogaster subterranea, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Ponera kohmoku, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Formica gnava, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Landesamt für Geologie, Rohstoffe und Bergbau
Processed micro-tomographic scan of the ant Anoplolepis custodiens, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Eciton hamatum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Mesoponera sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Aphaenogaster japonica, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tetramorium sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Azteca ovaticeps, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institute for Applied Materials - Reliability and Microstructure (IAM-ZM)
Institute for Applied Materials - Mechanics of Materials and Interfaces (IAM-MMI)
This dataset contains FAIR records which describe the tribological experiment Copper under Constant Normal Load #0004, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0004 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Processed micro-tomographic scan of the ant Sericomyrmex mayri, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Santschiella kohli, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Technomyrmex brunneus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Azteca sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cephalotes maculatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Formica sanguinea, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Unter Verwendung der im ZIP-File bereitgestellten Informationen bzw. Anwendungen, lassen sich die im Forschungsverbund zur Selbstregulation im Alltag von Studierenden (SriAS 2 Practice, gefördert vom BMBF) produzierten Kurzvideos miteinander verknüpfen. Sofern die vier Videos der Serie (siehe Verweise zur Relation) gemeinsam präsentiert werden sollen, lässt sich die Verknüpfung unter Verwendung der hier bereitgestellten Sekundärinformation leicht umsetzen.
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Allgemeines, Hochschulwesen, Wissenschaft und Forschung
Appendix (SriAS2Practice): Code & Daten zur Verknüpfung der Videos bei Veröffentlichung auf einem Web-Server
Processed micro-tomographic scan of the ant Solenopsis afrc-za12, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Labidus praedator, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Dinoponera quadriceps, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Ocymyrmex sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Technikfolgenabschätzung und Systemanalyse (ITAS), Karlsruher Institut für Technologie (KIT)
Institut für Kolbenmaschinen (IFKM), Karlsruher Institut für Technologie (KIT)
Produktentwicklung und Produktdesign sind ein Bereich in dem Nachhaltigkeit als Handlungskonzept wirksam wird. Unser moderner Lebensstil deckt unsere Bedürfnisse wie Essen, Wohnen, Mobilität und Unterhaltung vor allem auf Basis von Produkten und Dienstleistungen. Pro Kopf bewohnt in Deutschland eine Person 47,4 m2, ist im Schnitt 39 km täglich unterwegs und isst ca. 679 kg Nahrungsmittel im Jahr. Dies hat einen großen wirtschaftlichen und sozialen Nutzen, aber auch beträchtliche negative Auswirkungen auf die Umwelt. Dabei ist eine zentrale Herausforderung: wie können Produkte nachhaltiger werden?
Die Folien sind im Rahmen des von der Deutschen Bundesstiftung Umwelt geförderten Projektes NaProIng (Nachhaltige Produktentwicklung für Ingenieure) als Lernmaterialien entwickelt worden und bilden den gleichen Inhalt wie die zugehörigen gleichnamigen Kurzfilme ab.
Nachhaltige Produktentwicklung und Ökodesign
These are the experimental data for the paper> Bach, Jakob. "Subgroup Discovery with Small and Alternative Feature Sets" The paper was accepted at the conference [SIGMOD 2025](https://2025.sigmod.org/). You can find the paper [here](https://doi.org/10.1145/3725358) and the code [here](https://github.com/Jakob-Bach/Constrained-Subgroup-Discovery). See the `README` for details. The datasets used in our study (which we also provide here) originate from [PMLB](https://epistasislab.github.io/pmlb/). The corresponding [GitHub repository](https://github.com/EpistasisLab/pmlb) is MIT-licensed ((c) 2016 Epistasis Lab at UPenn). Please see the file `LICENSE` in the folder `datasets/` for the license text.
# Experimental Data for the Paper "Subgroup Discovery with Small and Alternative Feature Sets" These are the experimental data for the paper> Bach, Jakob. "Subgroup Discovery with Small and Alternative Feature Sets" accepted at the conference [SIGMOD 2025](https://2025.sigmod.org/). Check our [GitHub repository](https://github.com/Jakob-Bach/Constrained-Subgroup-Discovery) for the code and instructions to reproduce the experiments. We obtained the experimental results on a server with an `AMD EPYC 7551` CPU (32 physical cores, base clock of 2.0 GHz) and 160 GB RAM. The operating system was `Ubuntu 20.04.6 LTS`. The Python version was `3.8`. With this configuration, running the main experimental pipeline (`main_experiments/run_experiments.py`) took about 34 hours. Note that the current experimental data originate from two separate runs of the main experimental pipeline. In particular, we repeated the same experiments for two additional subgroup-discovery methods later, without rerunning the previously included methods. The commit hash for the last run of the main experimental pipeline (`main_experiments/run_experiments.py`) except the subgroup-discovery methods *BSD* and *SD-Map* is [0a57bcd529](https://github.com/Jakob-Bach/Constrained-Subgroup-Discovery/tree/0a57bcd52938dce6285e8113d777360c2b17f30f) (tag: `run-2024-05-13`). The commit hash for the last run of the main experimental pipeline (`main_experiments/run_experiments.py`) for the (additional) subgroup-discovery methods *BSD* and *SD-Map* is [50dd82e0fc](https://github.com/Jakob-Bach/Constrained-Subgroup-Discovery/tree/50dd82e0fcd175a4068ef4ce838dcacdc1045fc9) (tag: `run-2025-01-21-SIGMOD-2025`). However, the main experimental pipeline did not change between these two runs (except for refactorings and including the two additional subgroup-discovery methods). Thus, using the tag `run-2025-01-21-SIGMOD-2025` to reproduce all experiments should yield the same results (except runtimes and timeout-affected results). The commit hash for the last run of the main evaluation pipeline (`main_experiments/run_evaluation_sigmod.py`) is [8e8e1f5e54](https://github.com/Jakob-Bach/Constrained-Subgroup-Discovery/tree/8e8e1f5e54ac7644fc34f57cae2ad39b6fc1d453) (tag: `evaluation-2025-03-23-SIGMOD-2025`). The experimental data are stored in three folders, i.e., `datasets/`, `plots/`, and `results/`. Further, the console output of `main_experiments/run_evaluation_sigmod.py` is stored in `Evaluation_console_output.txt` (manually copied from the console to a file). In the following, we describe the structure and content of each data file. ## `datasets/` These are the input data for the main experimental pipeline `main_experiments/run_experiments.py`, i.e., the prediction datasets. The folder contains one overview file, one license file, and two files for each of the 27 datasets. The original datasets were downloaded from [PMLB](https://epistasislab.github.io/pmlb/) with the script `main_experiments/prepare_datasets.py`. Note that we do not own the copyright for these datasets. However, the [GitHub repository of PMLB](https://github.com/EpistasisLab/pmlb), which stores the original datasets, is MIT-licensed ((c) 2016 Epistasis Lab at UPenn). Thus, we include the file `LICENSE` from that repository. After downloading from `PMLB`, we split each dataset into the feature part (`_X.csv`) and the target part (`_y.csv`), which we save separately. Both file types are CSVs that only contain numeric values (categorical features are ordinally encoded in `PMLB`) except for the column names. There are no missing values. Each row corresponds to a data object (= instance, sample), and each column either corresponds to a feature (in `_X`) or the target (in `_y`). The first line in each `_X` file contains the names of the features as strings; for `_y` files, there is only one column, always named `target`. For the prediction target, we ensured that the minority (i.e., less frequent) class is the positive class (i.e., has the class label `1`), so the labeling may differ from PMLB. `_dataset_overview.csv` contains meta-data for the datasets, like the number of instances and features. ## `plots/` These are the output files of the evaluation pipeline `main_experiments/run_evaluation_sigmod.py`. We include these plots in our paper. ## `results/` These are the output data of the main experimental pipeline in the form of CSVs, produced by the script `main_experiments/run_experiments.py`. `_results.csv` contains all results merged into one file and acts as input for the script `main_experiments/run_evaluation_sigmod.py`. The remaining files are subsets of the results, as the main experimental pipeline parallelizes over 27 datasets, 5 cross-validation folds, and 8 subgroup-discovery methods. Thus, there are `27 * 5 * 8 = 1080` files containing subsets of the results. Each row in a result file corresponds to one subgroup. One can identify individual subgroup-discovery runs with a combination of multiple columns, i.e.: - dataset `dataset_name` - cross-validation fold `split_idx` - subgroup-discovery method `sd_name` - feature-cardinality threshold `param.k` (missing value if no feature-cardinality constraint employed) - solver timeout `param.timeout` (missing value if not solver-based search) - number of alternatives `param.a` (missing value if only original subgroup searched) - dissimilarity threshold `param.tau_abs` (missing value if only original subgroup searched) For each value combination of these seven columns, there is either one subgroup (search for original subgroups) or six subgroups (search for alternative subgroup descriptions, in which case the column `alt.number` identifies individual subgroups within a search run). Further, note that the last four mentioned columns contain missing values, which should be treated as a category on their own. In particular, if you use `groupby()` from `pandas` for analyzing the results and you want to include any of the last four mentioned columns in the grouping, you should either fill in the missing values with an (arbitrary) placeholder value or use the parameter `dropna=False`, because the grouping (by default) ignores the rows with missing values in the group columns otherwise. The remaining columns represent results and evaluation metrics. In detail, all result files contain the following columns: - `objective_value` (float `>= -0.25` + missing values): Objective value of the subgroup-discovery method on the training set. Usually quantifies WRAcc (in `[-0.25, 0.25]`) when searching original subgroups and normalized Hamming similarity (in `[0, 1]`) when searching alternative subgroup descriptions. First exception: The subgroup-discovery method *MORS* has missing values since *MORS* does not explicitly compute an objective when searching for subgroups. Second exception: The subgroup-discovery methods *BSD* and *SD-Map* use WRAcc times the number of data objects (a dataset-dependent constant) as objective, so the objective value is higher than for the remaining subgroup-discovery methods. - `optimization_status` (string, 2 different values + missing values): For *SMT*, `sat` if optimal solution found and `unknown` if timeout. Missing value for all other subgroup-discovery methods (which do not use solver timeouts). - `optimization_time` (non-negative float): The optimization runtime (in seconds) inside the subgroup-discovery method, i.e., without pre- and post-processing steps. - `fitting_time` (non-negative float): The complete runtime (in seconds) of the subgroup-discovery method (as reported in the paper), i.e., including pre- and post-processing steps. Very similar to `optimization_time` except for *SMT* as the subgroup-discovery method, which may spend a considerable amount of time formulating the optimization problem. - `train_wracc` (float in `[-0.25, 0.25]`): The weighted relative accuracy (WRAcc) of the subgroup description on the training set. - `test_wracc` (float in `[-0.25, 0.25]`): The weighted relative accuracy (WRAcc) of the subgroup description on the test set. - `train_nwracc` (float in `[-1, 1]`): The normalized weighted relative accuracy (WRAcc divided by its dataset-dependent maximum) of the subgroup description on the training set. - `test_nwracc` (float in `[-1, 1]`): The normalized weighted relative accuracy (WRAcc divided by its dataset-dependent maximum) of the subgroup description on the test set. - `box_lbs` (list of floats, e.g., `[-inf, 0, -inf, -2, 8]`): The lower bounds for each feature in the subgroup description. Negative infinity if a feature's lower bound did not exclude any data objects from the subgroup. - `box_ubs` (list of floats, e.g., `[inf, 10, inf, 5, 9]`): The upper bounds for each feature in the subgroup description. Positive infinity if a feature's upper bound did not exclude any data objects from the subgroup. - `selected_feature_idxs` (list of non-negative ints, e.g., `[0, 4, 5]`): The indices (starting from 0) of the features selected (= restricted) in the subgroup description. Is an empty list, i.e., `[]`, if no feature was restricted (so the subgroup contains all data objects). - `dataset_name` (string, 27 different values): The name of the `PMLB` dataset used for subgroup discovery. - `split_idx` (int in `[0, 4]`): The index of the cross-validation fold of the dataset used for subgroup discovery. - `sd_name` (string, 8 different values): The name of the subgroup-discovery method (`Beam`, `BI`, `BSD`, `MORS`, `PRIM`, `Random`, `SD-Map`, or `SMT`). - `param.k` (int in `[1, 5]` + missing values): The feature-cardinality threshold for subgroup descriptions. Missing value if unconstrained subgroup discovery. Always `3` if alternative subgroup descriptions searched. - `param.timeout` (int in `[1, 2048]` + missing values): For *SMT*, solver timeout (in seconds) for optimization (not including time for formulating the optimization problem). Missing value for all other subgroup-discovery methods. - `alt.hamming` (float in `[0, 1]` + missing values): Normalized Hamming similarity between the current subgroup (original or alternative) and the original subgroup if alternative subgroup descriptions searched. Missing value if only original subgroup searched. - `alt.jaccard` (float in `[0, 1]` + missing values): Jaccard similarity between the current subgroup (original or alternative) and the original subgroup if alternative subgroup descriptions searched. Missing value if only original subgroup searched. - `alt.number` (int in `[0, 5]` + missing values): The number of the current alternative if alternative subgroup descriptions searched. Missing value if only original subgroup searched. Thus, original subgroups either have `0` or a missing value in this column (i.e., for experimental settings where alternative subgroup descriptions searched, there is no separate search for an original subgroup, only a joint sequential search for original and alternatives). - `param.a` (int with value `5` + missing values): The number of desired alternative subgroup descriptions, not counting the original (zeroth) subgroup description. Missing value if only original subgroup searched. - `param.tau_abs` (int in `[1, 3]` + missing values) The dissimilarity threshold for alternatives, corresponding to the absolute number of features that have to be deselected from the original subgroup description and each prior alternative. Missing value if only original subgroup searched. You can easily read in any of the result files with `pandas`: ```python import pandas as pd results = pd.read_csv('results/_results.csv') ``` All result files are comma-separated and contain plain numbers and unquoted strings, apart from the columns `box_lbs`, `box_ubs`, and `selected_feature_idxs` (which represent lists and whose values are quoted except for empty lists). The first line in each result file contains the column names. You can use the following code to make sure that the lists of feature indices are treated as lists (rather than plain strings): ```python import ast results['selected_feature_idxs'] = results['selected_feature_idxs'].apply(ast.literal_eval) ``` Note that this conversion does not work for `box_lbs` and `box_ubs`, where the lists not only contain ordinary numbers but also `-inf`, and `inf`; see [this *Stack Overflow* post](https://stackoverflow.com/questions/64773836/error-converting-string-list-to-list-when-it-contains-inf) for potential alternatives.
Experimental Data for the Paper "Subgroup Discovery with Small and Alternative Feature Sets"
Processed micro-tomographic scan of the ant Temnothorax anacanthus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Brachyponera nr obscurans, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pheidole valens, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pheidole noda, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Nylanderia okm03, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Angewandte und Numerische Mathematik
This code was used for the numerical experiments in the CRC 1173 Preprint 2023/2 (URL: https://www.waves.kit.edu/downloads/CRC1173_Preprint_2023-2.pdf) by C. Carle and M. Hochbruck.
The scripts are intended to reproduce the figures from the preprint "Error analysis of second-order local time integration methods for discontinuous Galerkin discretizations of linear wave equations" by Constantin Carle and Marlis Hochbruck ################################################################################ #### Requirements The codes are tested with Ubuntu 20.04.2 LTS and Python 3.8.10 and the following version of its modules: numpy - 1.17.4 scipy dolfin (fenics) - 2019.2.0.dev0 (including mshr) matplotlib - 3.1.2 tikzplotlib - 0.9.6 pandas - 0.25.3 ################################################################################ #### Generation of figures For the generation of Figure Y, Y=1,2,3, either execute the Python script 'script_figY.py' in a suitable integrated development environment or run the command python3 script_figY.py in a terminal session. For the generation of Figure 4 first execute the Python script 'script_fig4_data.py' (via a suitable integrated development environment or in a terminal session) which generates and saves the data for the figure. To obtain the figure execute the script 'script_fig4_plot.py' (the script 'script_fig4_plot_single.py' generates a different view of the data). Additionally to the plots you can get the tikz-files which were used for generating the figures in the preprint by setting the Boolean variable 'write_tikz' from 'False' to 'True' at the beginning of the scripts. The scripts for Figure 1, 2, 4 run in parallel on all available processors. The number of used processors can be specified with the variable 'num_processors_max' (integer). - 1.3.3
Numerical experiments to "Error analysis of second-order local time integration methods for discontinuous Galerkin discretizations of linear wave equations"
Institut für Experimentelle Teilchenphysik
Histograms with nominal and varied events
Data analysis objects for Measurement of Triple-Differential Z+Jet Cross Sections with the CMS Detector at 13 TeV
Processed micro-tomographic scan of the ant Monomorium gabrielense, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Metapone emersoni, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Strumigenys benten, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Lasius orientalis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant OUTGROUP_Apis mellifera, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Lasius flavus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Polyrhachis spinicola, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Trichomyrmex oscaris, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Monomorium floricola, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Camponotus japonicus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Polyergus samurai, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Colobopsis shohki, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pseudolasius sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Dolichoderus quadridenticulatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Camponotus vestitus strophiatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Brachymyrmex donisthorpei, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Strumigenys emmae, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Mycetophylax olitor, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Strumigenys precava, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Temnothorax formosus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Paltothyreus tarsatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Eciton rapax, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Vollenhovia sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Aphaenogaster pallida, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Oecophylla smaragdina, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Formica fusca, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tetramorium polymorphum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pheidole tumida, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains FAIR records which describe the tribological experiment Copper under Constant Normal Load #0033, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0033 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Bundesministerium für Verkehr und digitale Infrastruktur
Die dieser Veröffentlichung zugrunde liegenden Arbeiten wurden im Auftrag des Bundesministers für Verkehr und digitale Infrastruktur unter FE-Nr. 70.0864/2011 durchgeführt. Die Verantwortung für den Inhalt liegt ausschließlich beim Autor.
Deutsches Mobilitätspanel (MOP) - Statistiken zur Alltagsmobilität sowie zu Fahrleistung und Kraftstoffverbrauch 2002 - 2011
CSV data containing ten vehicle signals logged via the OBD-II interface: Engine coolant temperature, intake manifold absolute pressure, engine RPM, vehicle speed sensor, intake air temperature, air flow rate from mass flow sensor, absolute throttle position, ambient air temperature as well as the accelerator pedal positions D and E. The data was recorded with the OBD-II dongle KIWI 3 from PLX Devices in combination with the smartphone application OBD Auto Doctor from Creosys on an iOS device. The file name is assembled according to the following scheme: <yyyy-mm-dd>_<brand>_<model>_<from>_<to>_<condition>_<extension>.csv - <from> and <to> represent start and end position of the log according to the German number plates, i.e. KA = Karlsruhe etc. - <condition> is a label indicating the principle road conditions (e.g. normal, frei/free, Stau/busy) - <extension> is optional and marks special situations occurring in the vehicle speed data
Processed micro-tomographic scan of the ant Forelius brasiliensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Psalidomyrmex reichenspergeri, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Aphaenogaster gonacantha, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Myrmica taediosa, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Nylanderia OK03, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Werkstoffkunde, Graduiertenkolleg 2561: Materials Compounds from Composite Materials
Solid solution strengthening in Mo-Nb solid solutions modelled using the Suzuki model including recent additions by Rao and Co-Workers. Implemented in Matlab R2022a, Update 5.
Matlab code for the modelling, exported as .txt file for better accessibility.
Solid solution strengthening in Mo-Nb modelled using the Suzuki approach
Der Datensatz enthält UAS Aufnahmen aus den untersuchten Gebieten. Der Datensatz besteht aus Farbbildern der optischen Kamera, sowie den gleichzeitig aufgenommenen Wärmebildern.
Problemstellung Georisiken wie Erdfälle können ein Risiko für die Sicherheit der Bevölkerung darstellen und Schäden an öffentlichem und privatem Eigentum verursachen. Herkömmliche Methoden zur Entdeckung von Erdfällen sind in relevanten Gebieten teils schwer durchführbar. Gefährdete Bereiche sind unter Umständen schwer zugänglich sowie zu weitläufig. Bisher existiert keine effiziente, automatisierbare Methode zur Früherkennung von Erdfällen. Unbemannte Luftfahrtsysteme (UAS) können hier neue Möglichkeiten bieten. Projektziel Verschiedene mit UAS einsetzbare Methoden werden hinsichtlich ihrer Tauglichkeit zur Früherkennung von Erdfällen evaluiert. Für das jeweilige Potential von Aufnahmen wird in zwei Testgebieten eine aussagekräftige Datenbasis geschaffen. In der Forschung erprobte Methoden werden mit dem bereits gängigen Einsatz von UAS kombiniert und so in die Praxis übertragen. Aus den gewonnenen Daten werden für das Landesamt für Geologie und Bergbau Rheinland-Pfalz Gefahrenhinweiskarten der Testgebiete erstellt, um Sicherungsmaßnahmen zu ermöglichen. Durchführung Es werden großflächige UAS-Befliegungen mit thermalen und kurzwelligen Infrarot-Sensoren, RGB- und Hyperspektral-Kameras sowie einem Gas-Multisensor in den zwei Risikogebieten durchgeführt. Zur Kampagne gehören Befliegungen zu verschiedenen Jahreszeiten. Dabei soll ermittelt werden, ob verborgene Karst- und Bergbauhohlräume durch ihre thermische Signatur sowie durch eventuell ausströmende Gase wie z.B. CO2 erfasst werden können.
UAS-gestützte Detektion von infrastrukturrelevanten Georisiken - AuDeRi - UAS Datensätze (Teil 1)
This dataset contains FAIR records which describe the laboratory equipment utilized in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Laboratory Equipment for Tribological Experiments - Sapphire on Copper - FAIR Dataset
This dataset contains FAIR records which describe the software utilized in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Software for Tribological Experiments - Sapphire on Copper - FAIR Dataset
This software package contains the implementation of the approximate inverse for 2D linear seismic imaging using the common offset acquisition geometry.
Deutsche Forschungsgemeinschaft – Project-ID 258734477 – SFB 1173
Approximate Inversion of generalized Radon Transforms - Software package (v1.0)
Institut für Photogrammetrie und Fernerkundung, Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung
Deutsches Zentrum für Luft- und Raumfahrt
Institut für Photogrammetrie und Fernerkundung
# Pol-InSAR-Island dataset: This folder contains multi-frequency Pol-InSAR data acquired by the F-SAR system of the German Aerospace Center (DLR) over Baltrum and corresponding land cover labels. Data structure: - data - FP1 # Flight path 1 - L # Frequency band - T6 # Pol-InSAR data - incidence.bin # Incidence angle [rad] - kz_*.bin ' Vertical wavenumber for vv, hv, vh and vv polarization [rad/m] - pauli.bmp # Pauli-RGB image of the master scene - S - ... - FP2 # Flight path 2 - ... - label # Land cover label - FP1 # Flight path 1 - label_train.bin # Geocoded training label - label_test.bin # Geocoded test label - ... - FP2 # Flight path 2 - ... Data format: The data is provided as flat-binary raster files (.bin) with an accompanying ASCII header file (*.hdr) in ENVI-format. For Pol-InSAR data the real and imaginary components of the diagonal elments and upper triangle elements of the 6 x 6 coherency matrix are stored in seperated files (T11.bin, T12_real.bin, T12_imag.bin,...) Land cover labels contained in label_train.bin and label_test.bin are encoded as integers using the following mapping: 0 - Unassigned 1 - Tidal flat 2 - Water 3 - Coastal shrub 4 - Dense, high vegetation 5 - White dune 6 - Peat bog 7 - Grey dune 8 - Couch grass 9 - Upper saltmarsh 10 - Lower saltmarsh 11 - Sand 12 - Settlement
Pol-InSAR-Island is the first publicly available multi-frequency Polarimetric Interferometric Synthetic Aperture Radar (Pol-InSAR) benchmark dataset for land cover classification. The strong scientific interest and the accompanying rapid development of machine learning, in particular deep learning, has led to a significant improvement in automatic image interpretation in recent years. Research generally focuses on classification or segmentation of optical images, but there are already several successful approaches that apply deep learning techniques to the analysis of PolSAR or Pol-InSAR images. While the success of learning-based methods for the analysis of optical images has been strongly driven by public benchmark datasets such as ImageNet and Cityscapes, which contain a large number of annotated training and test data, comparable datasets for the PolSAR and especially the Pol-InSAR domain are almost non-existent. To fill this gap, this work presents a new multi-frequency Pol-InSAR benchmark dataset for training and testing learning-based methods. The dataset contains Pol-InSAR data acquired in S- and L-band by DLR’s airborne F-SAR system over the East Frisian island Baltrum. To allow interferometric analysis a repeat-pass configuration with a time offset of several minutes and a vertical baseline of 40 m is used. The image data are given as geocoded 6 × 6 coherency matrices on a 1 m × 1 m grid and is labeled by 12 different land cover classes. The Pol-InSAR-Island dataset is intended to improve the development of new learning-based approaches for multi-frequency Pol-InSAR classification. To ensure the comparability of various approaches, a defined division of the data into training and testing sections is given. For more information, refer to the corresponding research article: https://doi.org/10.1016/j.ophoto.2023.100047 Pol-InSAR-Island - A Benchmark Dataset for Multi-frequency Pol-InSAR Data Land Cover Classification (Version 2) is the updated version of the dataset. The PolSAR as well as the label images remain unchanged, but additional files containing the corresponding incidence angle and the vertical wavenumbers are added.
Pol-InSAR-Island - A Benchmark Dataset for Multi-frequency Pol-InSAR Data Land Cover Classification (Version 2)
Technische Universität Darmstadt (TU Darmstadt)
Raw data for the publication "Mapping local atomic structure of metallic glasses using machine learning aided 4D-STEM"
Amorphous materials, e.g., polymers, metallic and oxidic glasses, consist of heterogeneous atomic/molecular packing at the nanoscale. Spatial variation of the local structure plays an important role in determining material properties. Experimentally probing the local atomic structure within the amorphous phase has been one of the main challenges for material research. Here, we present a new approach to characterize the local atomic structure and map structural variants in the amorphous phase using machine learning (ML) aided four dimensional-scanning transmission electron microscopy (4D-STEM). We utilized nonnegative matrix factorization (NMF) to identify the local structural types of metallic glasses from the 4D-STEM dataset. Using Fe-based metallic glasses as a model system, we demonstrate that two basic structural types, one with a more liquid-like and another with a more solid-like structure, are distributed throughout the glass with a characteristic length scale of a few nanometers. Thermal annealing induces a change in their distribution and relative population but without the appearance of any additional phase. This provides new insight into the relaxation phenomena of metallic glass and solid experimental evidence for the theoretical hypothesis on atomic packing in glassy structures.
Four dimensional-scanning transmission electron microscopy (4D-STEM)
Mapping local atomic structure of metallic glasses using machine learning aided 4D-STEM
Institut für Katalyseforschung und -technologie (IKFT), Karlsruher Institut für Technologie (KIT)
Raw data: Mass spectrometry (MS), dynamic light scattering (DLS), residence time distribution (RTD), infrared spectra (IR), transmission electron microscopy images, i.e. scanning transmission electron microscopy - high angle annular darkfield detector (STEM-HAADF)
Raw data for publication "Continuous flow synthesis of atom-precise platinum clusters" in Nanoscale Advances, 2024, DOI: 10.1039/D4NA00074A
Raw data for Continuous Flow synthesis of Atom-Precise Platinum Clusters
Institut für Nanotechnologie (INT), Karlsruher Institut für Technologie (KIT), Helmholtz-Institut Ulm (HIU), Karlsruher Institut für Technologie (KIT)
Helmholtz-Institut Ulm (HIU), Karlsruher Institut für Technologie (KIT)
this link is for the raw and processed TEM data belonging to the article. The raw data can be open via Velox software from Thermofisher.
Layered high-entropy sulfides: boosting electrocatalytic performance for hydrogen evolution reaction by cocktail effects
TEM raw dataset corresponding to the graphs and maps depicted in the manuscript
Influence of Zr-doping on structure and transport properties of rare earth high-entropy oxides
Alkali metal-sulfur batteries (Li/Na-S) have attracted much attention because of their high energy density, the natural abundance of sulfur, and environmental friendliness. However, Li/Na-S batteries still face big challenges, such as limited cycle life, poor conductivity, large volume changes, and “shuttle effect” caused by the high solubility of Li/Na-polysulfides. Herein, novel organosulfur-containing materials, i.e., bis(4-hydroxy-2,2,6,6-tetramethylpiperidin-1-yl)disulfide (BiTEMPS-OH) and 2,4-thiophene/arene copolymer (TAC) are proposed as cathode materials for Li and Na batteries. BiTEMPS-OH shows an initial discharge/charge capacity of 353/192 mAh g-1 and a capacity of 62 mAh g-1 after 200 cycles at 100 mA g-1 in ether-based Li-ion electrolyte. Meanwhile, TAC has an initial discharge/charge capacity of 270/248 mAh g-1 and better cycling performance (106 mAh g-1 after 200 cycles) than BiTEMPS-OH in the same electrolyte. However, the rate capability of TAC is limited by the slow diffusion of Li-ions. Both materials show inferior electrochemical performances in Na battery cells compared to the Li analogs. X-ray powder diffraction reveals that BiTEMPS-OH loses its crystalline structure permanently upon cycling in Li battery cells. X-ray photoelectron spectroscopy demonstrates the cleavage and partially reversible formation of S-S bonds in BiTEMPS-OH and the formation/decomposition of thick solid electrolyte interphase on the electrode surface of TAC.
The data include electrochemistry data, XRD data, and XPS data, which was plotting using Origin software.
Electrochemical Investigations of Sulfur-Decorated Organic Materials as Cathodes for Alkali Batteries
Institut für Neutronenphysik und Reaktortechnik (INR), Karlsruher Institut für Technologie (KIT)
The nomenclature is given in the data-file
The file contains the prepared distributions of the mean velocities, Reynolds stresses, triple velocity correlations, skewness and kurtosis of the publication: Ruck, S. and Lorenzo Mercado, I. The effects of wall proximity on the turbulent flow field in a square duct structured with detached divergent ribs on one wall, Experiments in Fluids.
Turbulent channel flow Divergent detached ribs Ribbed surfaces Laser-Doppler-anemometry Separated flows
Dataset of the effects of wall proximity on the turbulent flow field in a square duct structured with detached divergent ribs on one wall
Noise and vibration emissions from electric vehicle gearboxes are greatly influenced by the properties of the gearbox housing. Reducing the weight of the housing requires to evaluate the impact of lightweight design on noise and vibration performance. In this paper, the effect of different rib arrangements on the noise and vibration performance of a lightweight transmission is investigated. The ribs allow to increase local stiffness while still reducing the total mass. The local stiffness is derived in different areas of the housing to determine potential areas of optimization. Then ribs on the surface of the gearbox housing in different arrangements and positions are applied to the model and their influence on the vibrational behaviour and acoustic emission are investigated numerically.
Please read the read-me file. The authors Colangeli, Claudio; Cuenca, Jacques and Kucukcoskun, Korcan are affiliated with the organization Siemens Digital Industries Software.
Effect of Lightweight Design on the NVH Behavior of an Electric Vehicle Gearbox Housing
Processed micro-tomographic scan of the ant Solenopsis afrc-za06, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Myrmicocrypta uncinata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cephalotes depressus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Dolichoderus debilis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Polyergus rufescens, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This repository contains the datasets used in the study 'The seasonal cycle of ice-nucleating particles linked to the abundance of biogenic aerosol in boreal forests'. Detailed information and technical aspects of the data can be found in there. In case more information about the data structure is needed, the folders contain an additional Readme file.
Datasets to: The seasonal cycle of ice-nucleating particles linked to the abundance of biogenic aerosol in boreal forests
ANDeS: An automated nanoliter droplet selection and collection device [Gesperrt]
Processed micro-tomographic scan of the ant Aphaenogaster gracillima, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Neivamyrmex jerrmanni, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Leptogenys intermedia, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Leptogenys cf gaigei, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Myrmecocystus mendax, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Lasius fuji, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pheidole oxyps, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Brachyponera sennaarensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pheidole cf biconstricta, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Crematogaster sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Labidus coecus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Aphaenogaster tipuna, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pheidole pieli, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Camponotus fulvopilosus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Bothroponera pachyderma, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Acanthomyrmex glabfemoralis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Camponotus sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant OUTGROUP_Campsomeriella annulata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Formica cf fusca, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Wasser und Umwelt (IWU), Karlsruher Institut für Technologie (KIT)
This file contains the reservoir data and model outputs for the manuscript titled, "Is drought protection possible without compromising flood protection? Estimating the maximum dual-use benefit of small flood reservoirs in Southern Germany" by Sarah Quynh-Giang Ho and Uwe Ehret. To properly read this data, the class definition file hrb.m must be downloaded from https://doi.org/10.5281/zenodo.12724797 .
Processed micro-tomographic scan of the ant Platythyrea schultzei, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Temnothorax unifasciatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Camponotus blandus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Aenictus lifuiae, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This code is used for the numerical experiment in Section 6 of the paper "A unified error analysis for nonlinear wave-type equations with application to acoustic boundary conditions" by Jan Leibold. The computations are done in C++ using the Finite Element library deal.II; the plots then are generated with Matlab. To use this code, deal.II (release 9.3.2) has to be installed, cf. https://www.dealii.org/9.3.0 In order to compile the program, open a terminal session in this folder and call "cmake -DDEAL_II_DIR=/path/to/deal.II .". Next, call "make release" and then "make" to compile the files. Finally, run the program with "make run". This performs the computations and generates the file "results" containing the results of the numerical experiments. After that, the plots can be generated with the Matlab Script 'plot_figures.m'.
Numerical experiments to "A unified error analysis for nonlinear wave-type equations with application to acoustic boundary conditions" (Version 2)
Processed micro-tomographic scan of the ant Probolomyrmex okinawensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Polyrhachis militaris, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cyphomyrmex peltatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cyphomyrmex minutus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Nylanderia natalensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Polyrhachis dives, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant OUTGROUP_Bethylidae sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Angewandte und Numerische Mathematik (IANM), Karlsruher Institut für Technologie (KIT)
Implementation and simulation data for the dissertation with the title 'Semi-Analytical Integration in Molecular Dynamics'. The 'Implementation' folder contains the implementations of the leapfrog chebychev and the trigonometric integrator in LAMMPS. The code only works when build with LAMMPS. For a detailed discription of the functionalities see Chapter 6 of the dissertation 'Semi-Analytical Integration in Molecular Dynamics'. The Simulation folder contains the input files for each simulation presented in the dissertation. There is a folder for each simulation with a README file specifying the usage.
Simulation data for 'Semi-Analytical Integration in Molecular Dynamics'
Processed micro-tomographic scan of the ant Allomerus decemarticulatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Polyrhachis latona, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tetramorium smithi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Strumigenys canina, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Nylanderia parvula, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Lasius cf fuliginosus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cephalotes simillimus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pheidole sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Procryptocerus goeldii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cyphomyrmex major, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Proformica sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Werkstoffkunde (IAM-WK), Karlsruher Institut für Technologie (KIT)
Werkstoffkunde (IAM-WK), Karlsruher Institut für Technologie (KIT), Karlsruhe Nano Micro Facility (KNMF), Karlsruher Institut für Technologie (KIT)
sample desired composition / at% number Au Cu Ni Pd Pt Au_Ni_CuPdPt series 236 0.0 25.0 25.0 25.0 25.0 237 2.5 25.0 22.5 25.0 25.0 238 5.0 25.0 20.0 25.0 25.0 239 15.0 25.0 10.0 25.0 25.0 240 10.0 25.0 15.0 25.0 25.0 241 7.5 25.0 17.5 25.0 25.0 242 20.0 25.0 5.0 25.0 25.0 243 25.0 25.0 0.0 25.0 25.0 Ni_Pt_AuCuPd series 248 25.0 25.0 0.0 25.0 25.0 249 25.0 25.0 5.0 25.0 20.0 250 25.0 25.0 10.0 25.0 15.0 251 25.0 25.0 15.0 25.0 10.0 252 25.0 25.0 20.0 25.0 5.0 253 25.0 25.0 25.0 25.0 0.0 subfolder designations XRD: X-ray diffraction patterns with 2Theta angle in ° and intensity SEM: Backscatter electron contrast micrographs microhardness: Data on several indents to obtain HV0.2, incl. indent position, indent size in µm, magnification, indentation time, etc. compressiontest: Data on compression tests incl. force and strain or machine-corrected position APT: Atom probe tomography data according to Cameca standards
Research data from "Solid solution strengthening in single-phase Au-Cu-Ni-Pd-Pt-based high-entropy alloys"
Processed micro-tomographic scan of the ant Euponera brunoi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Strumigenys elongata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cylindromyrmex striatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Blepharidatta conops, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Ochetomyrmex semipolitus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Crematogaster vagula, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Meranoplus inermis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Daceton armigerum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Odontomachus troglodytes, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Paratrechina flavipes, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Lasius spathepus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Input files to run the 3D inversion using SIMULPS - CNTL (control file) - MOD_in (initial velocity model) - EQKS (initial earthquake catalogue + arrival times) - STNS (seismic stations info) Initial models - MOD_2din (2D smooth P-wave velocity model, SIMULPS format) - MOD_3din (3D P-wave velocity model for Vp/Vs inversion, SIMULPS format) Final results - final_locations (earthquake catalog + arrival times) - MOD_3dout (3D seismic velocity model, SIMULPS format) - 3DVM_results.for_plot (3D seismic velocity model) * To run these data SIMULPS (Thurber, 1983, Eberhart-Philips, 1986) is needed: http://faldersons.net/Software/Software.html ** The results can be visualized using gmt and simul2gmt utilities
Research data for '3D local earthquake tomography of the Ecuadorian margin in the source area of the 2016 Mw 7.8 Pedernales earthquake'
Processed micro-tomographic scan of the ant Kalathomyrmex emeryi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Messor striatifrons, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cardiocondyla obscurior, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant OUTGROUP_Hymenoptera sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Neivamyrmex piraticus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Proceratium japonicum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Temnothorax kubira, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pogonomyrmex pima, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Philidris sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Atta sexdens, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Acropyga silvestrii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Raw data containing friction data, profilometry and transmission electron microscopy data
Raw data to manuscript by Rau et al.: "Three regimes in the tribo-oxidation of high purity copper at temperatures of up to 150°C"
Short summary: Heuristics and analysis techniques exist to overcome the non-transparency, but their selection and adaption for particular cases is often difficult and not supported methodically. Classes of errors occurring in system observation are operationalised into requirements for analysis techniques to develop the Selection Matrix. This is evaluated on a wood screw connection as a non-transparent system. In the following, the evaluation of the analysis techniques is explained. The Chapters are sorted by requirements.
Methodical support for the investigation of system behaviour with analysis techniques - Overcoming the non-transparency in embodiment design
Processed micro-tomographic scan of the ant Protalaridris armata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Parasyscia sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Gesomyrmex howardi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pheidole bicarinata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Carebara diversa, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Die dieser Veröffentlichung zugrunde liegenden Arbeiten wurden im Auftrag des Bundesministers für Verkehr und digitale Infrastruktur unter FE-Nr. 70.938/2017 durchgeführt. Die Verantwortung für den Inhalt liegt ausschließlich beim Autor.
Deutsches Mobilitätspanel (MOP) - Statistiken zur Alltagsmobilität sowie zu Fahrleistung und Kraftstoffverbrauch 2008 - 2017
Die dieser Veröffentlichung zugrunde liegenden Arbeiten wurden im Auftrag des Bundesministers für Verkehr und digitale Infrastruktur unter FE-Nr. 70.923/2015 durchgeführt. Die Verantwortung für den Inhalt liegt ausschließlich beim Autor.
Deutsches Mobilitätspanel (MOP) - Statistiken zur Alltagsmobilität sowie zu Fahrleistung und Kraftstoffverbrauch 2007 - 2016
Processed micro-tomographic scan of the ant Paratrechina zanjensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Discothyrea kamiteta, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cerapachys sulcinodis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This is the Sound Generator File used in the Driving Simulator Study about the Influence of emotionalizing Sound Designs on Driving behaviour. Native Instruments Reaktor 6 is necessary for running the Sound Generator. The saved preset inside the sound generator is the preset used in the experiment.
Sound Generator File of Driving Simulator Study for Native Instruments Reaktor 6
Processed micro-tomographic scan of the ant Strumigenys sp gundlachi group, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Camponotus vicinus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Neivamyrmex hetschkoi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Dolichoderus sibiricus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Temnothorax congruus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Formica yessensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Information about the content can be found on page 187 of the dissertation.
Processed micro-tomographic scan of the ant Calyptomyrmex brunneus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Hypoponera sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Proformica cf mongolica, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Camponotus renggeri, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Strumigenys lewisi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Hylomyrma immanis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Zasphinctus sarowiwai, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Camponotus albosparsus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Acromyrmex echinatior, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Neoponera goeldi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Datensatz zu der Publikation "Nanoantennas Inversely Designed to Couple Free Space and a Metal–Insulator–Metal Waveguide". DOI: 10.3390/nano11123219
Dataset to the publication 'Nanoantennas Inversely Designed to Couple Free Space and a Metal–Insulator–Metal Waveguide'
Processed micro-tomographic scan of the ant Euprenolepis procera, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pseudomyrmex veneficus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pheidole midas, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Myrmica kotokui, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains FAIR records which describe the tribological experiment Copper under Constant Normal Load #0016, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0016 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Processed micro-tomographic scan of the ant Apterostigma sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Crematogaster rectinota, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cardiocondyla kagutsuchi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cryptopone sauteri, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Formica truncorum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tetramorium semilaeve, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Nylanderia OK02, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Kristallisation einer Hexadecan-in-Wasser Emulsion unter dem Polarisationsmikroskop
Processed micro-tomographic scan of the ant Chronoxenus wroughtonii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pristomyrmex profundus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Crematogaster nawai, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Vitsika brevis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Neoponera verenae, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Myopopone castanea, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Probolomyrmex sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Carebara yamatonis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant OUTGROUP_Apoidea sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Datensatz zu der Publikation "An NMR-compatible microfluidic platform enabling in situ electrochemistry". DOI: 10.1039/D0LC00364F
Dataset to the publication 'An NMR-compatible microfluidic platform enabling in situ electrochemistry'
Processed micro-tomographic scan of the ant Anoplolepis steingroeveri, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Temnothorax nylanderi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Sericomyrmex bondari, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Ravavy afrc-za02, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Myrmica jessensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Aphaenogaster famelica, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Leptogenys kitteli, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Mesoponera subiridescens, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Hylomyrma balzani, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Nylanderia sakurae, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Strumigenys nepalensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Rhopalomastix OK01, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Leptogenys diminuta, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Industrielle Informationstechnik (IIIT), Karlsruher Institut für Technologie (KIT)
Replication data for: Robotic Wiring Harness Bin Picking Solution using a Deep-Learning-based Spline Prediction and a Multi-Stereo Camera Setup
Notice: Internally, the cameras 1, 2 and 3 are called 4, 5 and 6 respectively in this dataset. - intrinsic_calibration_patterns/: Patterns used during intrinsic calibration displayed on the calibration monitor - intrinsic_calibration/: Recordings from each camera of the clibration monitor - extrinsic_calibration/: - pose#.json: Robot poses during the extrinsic calibration - pose#/: Recordings from each camera during extrinsic calibration - validation/: Validation data - pose#: Recordings from each camera during validation
Replication Data for: SCAP2024 Robotic Wiring Harness Bin Picking - Camera Calibration
Processed micro-tomographic scan of the ant Dorylus fulvus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Lasius neglectus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The data was recorded at the microXAS beamline at the Swiss Light Source (SLS, Villigen, Switzerland) in June 2019. Subject of the experiment was a copper-based zeolite catalyst prepared as a washcoated monolith. A detailed description about the data can be found in the readme of this data set and in the corresponding publication.
Die Daten wurden an der microXAS-Beamline an der Swiss Light Source (SLS, Villigen, Schweiz) im Juni 2019 aufgezeichnet. Gegenstand des Experiments war ein Zeolith-Katalysator auf Kupferbasis, der als beschichteter Monolith hergestellt wurde. Eine detaillierte Beschreibung der Daten ist in der Readme-Datei dieses Datensatzes und in der entsprechenden Publikation zu finden.
The measurement mode was full-field and the data available here contains the recorded 2D projections, consisting of absorption contrast images. The data is saved in TIFF files each corresponding to one specific energy point and rotation angle. For a description of exact energy points and rotational angles used, see the corresponding publication. This dataset is measured under SCR conditions (1000 ppm NO, 1000 ppm NH3, 7.8% O2 in He as balance gas, flow rate 50 ml/min) at 400°C.
Full-Field XANES tomography data of a Cu-SSZ-13 washcoated monolith: SCR @ 400°C dataset
This is the dataset of the paper "Simultaneous multinuclear MRI via a single RF channel"
Dataset-Simultaneous multinuclear MRI via a single RF channel
Institut für Angewandte Materialien – Werkstoffkunde (IAM-WK), Karlsruher Institut für Technologie (KIT)
Engineering stress, engineering strain data on Mo-Nb alloys and Mo-Ti (up to 80 at.% Ti) are provided as unicode-compliant Origin project file. The free Origin project viewer might be used to access the data. The compositions are provided in at.%. Engineering stresses are in MPa. Engineering strains are without unit (= 1).
Comprehensive compressive stress-strain data of Mo-Ti and Mo-Nb solid solutions
Processed micro-tomographic scan of the ant Solenopsis invicta, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Polyrhachis lamellidens, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Carebara okm01, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Nylanderia yambaru, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
A detailed description of the data is given on the corresponding Github-page (https://github.com/benediktschulz/paper_pp_wind_gusts).
Datensatz zu Schulz und Lerch (2022): "Machine learning methods for postprocessing ensemble forecasts of wind gusts: A systematic comparison", Monthly Weather Review, 150 (1), 235-257, https://doi.org/10.1175/MWR-D-21-0150.1. Die Daten beinhalten die NWV-Vorhersagen und dazugehörigen Beobachtungen im gesamten Zeitraum von 2010 bis 2016 sowie die nachbearbeiteten Vorhersagen im Testzeitraum 2016. Weiter sind noch die Stationsdaten sowie die berechneten Scores im Testzeitraum enthalten. Die NWV-Vorhersagen beinhalten die einzelnen Ensemble-Member der Windböen-Vorhersage sowie die Mittelwerte und Standardabweichungen der anderen Ensemble-Variablen. Zusätzlich zu den nachbearbeiteten Vorhersagen sind auch Informationen zu den trainierten Modellen verfügbar (bspw. geschätzte Parameter).
Data set for Schulz and Lerch (2022): "Machine learning methods for postprocessing ensemble forecasts of wind gusts: A systematic comparison", Monthly Weather Review, 150 (1), 235-257, https://doi.org/10.1175/MWR-D-21-0150.1. The data includes the NWP forecasts and corresponding observations for the entire period from 2010 to 2016 as well as the postprocessed forecasts for the test period 2016. The station data and the calculated scores for the test period are also included. The NWP forecasts contain the individual ensemble members of the wind gust forecast as well as the ensemble mean and standard deviation values of the other ensemble variables. In addition to the postprocessed forecasts, information on the trained models is also available (e.g., estimated parameters).
Machine Learning Methods for Postprocessing Ensemble Forecasts of Wind Gusts: Data
Data of 5 figures as separate sheets in one MS_Excel file
Optimization of reactively sputtered Mn$_3$GaN films based on resistivity measurements
Processed micro-tomographic scan of the ant Xerolitor explicatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
In this experiment, ex situ STXM-CT was performed on single wires, with angles ranging from 0 to 360 degrees. The single wires were extracted from aged Pt/Rh gauzes treated under industrial ammonia oxidation conditions for 100 h of reaction time. The data available here contains the final and processed tomographic volumes of the wire measured at two energies above and below the Rh K-edge, at 23300 eV and 23208 eV respectively. Each 3D volume has been stacked as slices in each TIFF file provided here.
This tomographic scanning transmission X-ray microscopy (STXM-CT) data was acquired at the P06 microprobe beamline of the PETRA III (Deutsches-Elektronen Synchrotron DESY, Hamburg). The sample measured during this experiment was a single wire extracted from the Pt/Rh gauzes aged under industrial ammonia oxidation conditions for 100 h of time on stream. A detailed description of the dataset can be found in the corresponding readme file and its associated publication.
Resonant STXM-CT on single wire extracted from Pt/Rh gauzes treated under ammonia oxidation conditions for 100 h
Institut für Angewandte Materialien – Werkstoff- und Grenzflächenmechanik (IAM-MMI), Karlsruher Institut für Technologie (KIT), Institut für Angewandte Materialien – Zuverlässigkeit und Mikrostruktur (IAM-ZM), Karlsruher Institut für Technologie (KIT)
Institut für Angewandte Materialien – Zuverlässigkeit und Mikrostruktur (IAM-ZM), Karlsruher Institut für Technologie (KIT)
Raw data and Matlab codes behind the manuscript "Forecasting Friction Behavior Despite its Chaotic Nature"
Raw data and codes to manuscript "Forecasting Friction Behavior Despite its Chaotic Nature"
Karlsruhe Institute of Technology - Institute of Meteorology and Climate Research
The data files are packed, consisting of 8 NC-files, and then compressed using xz
Simulated concentration data for birch pollen, birch SPP and hydrometeors and atmospheric variable (Part 2)
Motor Research Data Repository Karlsruhe Institut für Technologie
Motor Research Data Repository, Karlsruhe Institute of Technology
ICON-ART data: Dispersion and Aging of Volcanic Aerosols after the La Soufrière Eruption in April 2021 (Part 1/3)
Wissenschaftliche Zeitschrift der DHFK Leipzig (1985), Sonderheft 1, 109-139
Untersuchungen zum Sportabzeichenprogramm der DDR
Fraunhofer-Institut für System- und Innovationsforschung
Abbreviations for columns can be linked to the information in the dissertation document.
Dataset ASU_EU_Paper, Additional_Data_Collection_Effective_Use
Ferrally, M., Watkins, J. & Ewing, B. Scottish school of physical education.
Seit 2012 werden die beiden Testbatterien KITT+ 3-10 und DMT 6-18 in Baden-Württemberg in Kooperation zwischen KIT und Kinderturnstiftung Baden-Württemberg durchgeführt. Die Testdurchführung findet durch geschulte LehrerInnen, ErzieherInnen und ÜbungsleiterInnen statt, die ausgebildet und wissenschaftlich begleitet werden. Bei den Testaufgaben handelt es sich um die Durchführungsvarianten, die im User-Manual von MO|REdata beschrieben sind. Die Rohwerte in den einzelnen Testaufgaben werden in alters- und geschlechtsspezifische Referenzperzentile der bundesweiten, repräsentativen MoMo- Stichprobe eingeordnet.
This dataset of MIPAS/ENVISAT VMR data and corresponding atmospheric 2D circulation fields supplements the publication 10.5194/acp-2020-72 and was computed using the ANCISTRUS software provided in 10.5445/IR/1000127728. The circulation fields are exemplary test cases for the monthly means March to April 2005, February to March, August to September, and September to October 2010. The figures used in the publication are linked into the directory Figures/. The data provided is licensed under the terms of CC BY-NC-ND 4.0 International, see file LICENSE.
This dataset provides the supplementary MIPAS VMR data and resulting atmospheric circulation fields for publication 10.5194/acp-2020-72, using the software provided in 10.5445/IR/1000127728.
Supplement: MIPAS VMR data and circulation fields for publication 10.5194/acp-2020-72
DIVAID is an open pipeline that divides atrial geometries into clinically important regions according to previously proposed definitions.
Simulation files obtained with code phaseFieldFoam, OpenFOAM-ext 4.0 (ASCII format) Figure files (OriginLab 2019)
Research data for publication Dadvand et al. (2021) Physics-of-Fluids (doi: 10.1063/5.0048614)
"Entwicklung eines Eignungstests fuer die Zulassung zum Sportstudium" in Sportunterricht, 25, (1976), 5 , S. 148-153Verf. beschreibt einen Eignungstest, der zum Wintersemester 1975/76 erstmals bei maennlichen und weiblichen Bewerbern fuer das Sportstudium angewandt wurde. Die leistungsdiagnostische Aufgabe des Tests besteht in der Feststellung der motorischen Grundeigenschaftenin Relation zu den Anforderungen der Grundkurse. Es werden keine sportmotorischen Fertigkeiten, sondern motorische Eigenschaften wie Ausdauer, Geschicklichkeit und Schnelligkeit in Spielsituationen geprueft. Die Tests bestehen aus den Untergruppen Haro-Fitness-Test, Geraetturnen, Leichtathletik, Schwimmen, Spiele und setzen sich aus verschiedenen Einzeltests zusammen. Alle Ergebnisse werden in Testpunkte umgerechnet, von denen zum Schluss eine Mindestzahl erreicht werden muss. Gewisse Schwaechen in Einzeltests koennen in anderen wettgemacht werden. Zur Erstellung der Normen wurden zwei Probedurchlaeufe in Beziehung zu bereits gewonnenen Erfahrungswerten gebracht. Von jedem Item wurde die Standardabweichung ermittelt, die Messwerte in eine Standardnormalverteilung transformiert und die T-Werte ermittelt. Die Ergebnisse der Einzeltests werden in diesen Werten ausgedrueckt und fuer jede Untergruppe das arithmetische Mittel gebildet. Das Mittel aller fuenf Mittelwerte bildet das Gesamtergebnis.
Entwicklung eines Eignungstests für die Zulassung zum Sportstudium
Simulated concentration data for birch pollen, birch SPP and hydrometeors and atmospheric variable (Part 18)
Using the calculator 1. Open MATLAB and the CO2_Calculator.mlx file 2. Open the “LIVE EDITOR” tab and press “RUN” Now a series Pop-Up windows will appear, asking for input. Please note that all inputs must be numeric, and a decimal dot is used instead of a comma (example: 20.5 and not 20,5). 3. Enter which processes are included (1 for yes 0 for no) 4. Enter the sheet thickness [mm] (1-6 in whole numbers) as well as the workpiece weight [kg] 5. If laser cutting is included: Enter cutting length [mm] 6. If bending is included: a. Enter the number of bends (Max. 6) b. Enter the tensile strength [N/mm²] (dt. “Zugfestigkeit”) c. Enter the bending angle [mm] and bending length [mm] for each individual bend 7. If welding is included: a. Enter number of welds (Max 6) b. Enter the shielding gas type (1: Ar + 2% CO2; 2: Ar + 18% CO2; 3: C25; Ar + 25% CO2; 4: opens a new window for your own specifications) Note: if unknown choose 1 for the lowest CO2 Emissions c. Enter the welding length [mm], the number of passes as well as the distance between the welds [mm] for each individual weld. Note: if the distance between the welds is not known, enter 0 or an estimate 8. Enter if you want to save your results or not Note: please include “.xls” in the filename to save the file as Excel After everything is entered the results are presented in kg of emitted CO2 on the right, please scroll down. For the welding process emitted fumes and particles (shielding gas 1&2) are presented as well.
Nowadays sustainable design is a mandatory requirement in the product development pro-cess. For this reason, design methodologies are addressed to establish a close relationship between environmental, social and economic impact indicators and product features from early design stages, especially in those features related to its manufacturing. In this thesis, the design for manufacturing and assembly — DFMA methodology shall be investigated to sheet metal devices, integrating functional and component relationships to minimize particu-lar sustainability indicators such as energy consumption, carbon footprint, number of parts, required amount of material, assembly time and manufacturing costs. You shall be open to discuss with suppliers their energy consumption and compare various manufacturing pro-cess possibilities based on their carbon footprint and other sustainability indicators. The aim of this thesis is to support the design engineer with a guideline of how to be able to develop not only cost efficient concepts but in the same time be able to reduce the carbon footprint and other sustainability indicators of their product.
Sustainability Analysing and Comparing Tool in Design for Manufacturing
Motor Research Data Repository, Karlsruher Institut für Technologie
Motorik Daten wurden mittels DKT (Dordel Koch Test) erhoben. Erfasst wurde objektiv (Anthropometrie, wie auch Motorik) vor Ort durch geschultes Personal Diese Daten sind Baseline-Daten (uninterventiert) einer longitudinalen Messung
Komm mit in das gesunde Boot (Grundschule)
Motor Research Data Repository, Karlsruher Institute of Technology
The spectra were measured on January 9th, 2020 at the heights above the chamber bottom of 1 m, 2.1 m, 2.9 m and 4.0 m with an uncertainty of ±10 cm in the center of the chamber with an Opsytec SR Pro UV-Vis Spectrometer connected to a UV-diffusor in W m-2 (spectral resolution: 2.3 nm (FHWM)) . The Opsytec SR Pro UV-Vis Spectrometer had been calibrated on December 11th, 2019 by Opsytec Dr. Gröbel GmbH showing spectral differences of less than 0.3 nm and an accuracy of ±9% for the radiometric results. The AIDA light source was operated at the highest output possible at room temperature for this characterization. Drastic outliers were considered as measurement artefacts and replaced by the median. The median was calculated with 15 points and every point exceeding the median by a threshold of 0.04 was replaced with the median. This resulted in the replacement of at most 21 out of the 2048 data points and does not change the general spectral information. The data measured at different heights were saved as a space separated text file: SRPro-central-measurements-20200109.txt. Please note that these data are related to the following publication in the AMT Special Issue: Simulation chambers as tools in atmospheric research: Vallon, M., Gao, L., Jiang, F., Krumm, B., Nadolny, J., Song, J., Leisner, T., and Saathoff, H.: LED based solar simulator to study photochemistry over a wide temperature range in the large simulation chamber AIDA, Atmos. Meas. Tech. Discuss. [preprint], https://doi.org/10.5194/amt-2021-362, in review, 2021.
ADDITIONAL INFORMATION ON THE SPECTRAL LIGHT MEASUREMENTS IN THE AIDA AEROSOL AND CLOUD SIMULATION CHAMBER TO CHARACTERIZE AN LED BASED SOLAR SIMULATOR
Spektren der Lichtquelle in der AIDA Aerosol und Wolkenkammer
Light spectra measured inside the AIDA aerosol and cloud simulation chamber
Simulated concentration data for birch pollen, birch SPP and hydrometeors and atmospheric variable (Part 13)
Simulated concentration data for birch pollen, birch SPP and hydrometeors and atmospheric variable (Part 9)
Aim Due to the increasing spread of the coronavirus and the accompanying containment measures, physical activity opportunities for children were severely restricted. The present study focuses on changes in children?s physical fitness during this period. Methods We conducted an almost full census of 131 primary school children in the 2nd grade in Bad Dürkheim, assessing their physical fitness immediately before the school closures on 16 March 2020 and after the end of the summer holidays in Rhineland-Palatinate, Germany. The standardised German motor skills test with representative reference values was used. For evaluation, we used repeated measures analysis of variance. Results We found a significant increase in physical fitness and BMI for the total sample during the observation period. Only in the dimensions of speed and endurance did the children show less development than would have been expected for their age. The proportion of overweight children increased from 17.7 to 23.8%. Conclusion The results show that the frequently formulated fear that the Corona-related restrictions in spring/summer 2020 could have negative effects on children?s physical development is not completely justified. However, in the view of the authors, the developments in BMI and endurance diagnosed in the short observation period should definitely be understood as a warning signal in the case of further restricted physical activity offers due to school closures, suspended sport clubs.
Entwicklung der körperlichen Leistungsfähigkeit bei Kindern während der coronabedingten Einschränkungen im Frühjahr/Sommer 2020.
6 Minuten Lauf- Werte bei 9 Jährigen Jungen.Pädagogische Arbeit (unveröffentlicht)
@Einbeinstand [SALTO]: Ziel ist die Erhebung der Standdauer im Einbeinstand. Das Kind soll mit geöffneten Augen im Einbeinstand so lange wie möglich stehen (max. 30 Sek). @Rolle vw [SALTO]: Ziel ist eine Rolle vorwärts (Purzelbaum) in den Stand zu machen. Als Testkriterium wird die Endposition der ununterbrochenen dynamischen Bewegung definiert. Kein Überrollen (0): Das Kind schafft keine annähernd geradlinige Rollbewegung (mindestens in die Rückenlage) und fällt seitlich um. Rollen in die Rückenlage (1): Das Kind schafft eine Rollbewegung (auch mit gestreckter Wirbelsäule) in die Rückenlage. Rollen in den Sitz - ohne Aufstützen der Hände (2) : Das Kind schafft eine Rollbewegung (auch mit gestreckter Wirbelsäule) in den Sitz. Rollen in den Stand (3): Das Kind schafft eine Rolle in den Stand ohne mit den Händen nachzugreifen. @Hüpfen [0-4], Laufen [0-4], Standweit [0-4], Fangen [0-3], Kicken [0-4] und Werfen [0-4] siehe TGMD 2 und 3 (Test of Gross Motor Development). @Balancieren vorwärts [Anzahl der Schritte] und Pendellauf [Zeit] siehe MoTB (Motorik Testbatterie, Krombholz 2010).
Im Schuljahr 2021/22 wurde im elften Jahr in Folge im Rahmen von BERLIN HAT TALENT die physische Fitness von Berliner Drittklässlerinnen und Drittklässlern mit Hilfe des Deutschen Motorik-Tests (Bös et al., 2016) untersucht. Der Fokus lag dabei auf entwicklungsbezogenen und zeitlichen Trends der motorischen Leistungsfähigkeit sowie deren Auswirkungen auf die körperliche Gesundheit im Kindesalter in Berlin. In jedem der 11 Jahre erhielten ausgewählte öﬀentliche Grundschulen aus den 12 Berliner Stadtbezirken von der Berliner Schulverwaltung ein schriftliches Angebot für die Teilnahme. Die Auswahl der zu untersuchenden DrittklässlerInnen erfolgte schulweise durch eine vom Landessportbund Berlin (LSB) und der Berliner Schulverwaltung beauftragte Projektgruppe, wobei der Umfang dieser Stichprobe von Jahr zu Jahr ausgebaut wurde. Insgesamt 75.945 Berliner DrittklässlerInnen (mehr als 300 Schulen) absolvierten in – mit schriftlicher Einverständniserklärung ihrer Eltern – die sportmotorischen Tests. Die Erhebung der sportmotorischen Leistungen wurde einer auf die Erhebung von Sportdaten spezialisierten Firma übertragen, die diese mit nahezu unverändertem Personal über die Jahre realisiert hat.
Institute of Atmospheric Sciences and Climate
Data from CALISTHO21_new campaign taking place from 2021-12-21 - 2022-05-08 at Mt. Helmos HAC2 station. This dataset represents the processed data (Level 1) as created by the PIA software v2.1.0 (https://doi.org/10.5281/zenodo.15592850).
Portable Ice Nucleation Experiment, PINE, Ice-nucleating particle, INP, ice nucleation, PIA Software
Data from FROSTDEFEND_23 campaign taking place from 2023-03-27 - 2023-04-24 at a lemon orchad near Aigio. This dataset represents the processed data (Level 1) as created by the PIA software v2.1.0 (https://doi.org/10.5281/zenodo.15592850).
The repository contains the results of structural drill core investigations with particular consideration of stress-induced features. The cores have been assembled and labelled and reference lines have been introduced. All structural information refers to these lines. We have distinguished between induced and natural open and filled fractures, stylolithes and bedding.
Bundesministerium für Bildung und Forschung
Interviews on the role of repositories for archiving and providing research data at Karlsruhe Institute of Technology (KIT)
4 interviews in total: interview 1+2 are added here, interview 3 remains unpublished by the interviewee's request, interview 4 wasn't recorded
Interviews zur Rolle von Repositorien für die Archivierung und Bereitstellung von Forschungsdaten am Karlsruher Institut für Technologie (KIT)
Institut für Fördertechnik und Logistiksysteme
This data repository contains raw data for the analysis of decomposition error in discrete-time open tandem queues. The data is formatted for the computation and validation of point and interval estimates for decomposition error as well as for the analysis of decomposition error in bottleneck queues.
This data repository contains two folders: * *01 Equal Traffic Intensities* – Raw data for the analysis of decomposition error in tandem queues with equal traffic intensities, * *02 Bottleneck Analyses* – Raw data for the analysis of decomposition error in tandem queues with bottlenecks. The first folder contains a training data and a test data file. The second folder contains three files: * Data set with downstream bottleneck queues, * Data set with upstream bottleneck queues, * Data set with similar traffic intensities.
Data sets for the analysis of decomposition error in discrete-time open tandem queues
Data for figures 2 and 3 of the publication: "On suitability of phase-field and algebraic volume-of-fluid OpenFOAM® solvers for gas-liquid microfluidic applications" in the OriginPro Data format.
This dataset holds additional materials to the paper "Our (in)Secure Web: Understanding Update Behavior of Websites and Its Impact on Security".
Software updates take an essential role in keeping IT environments secure. If service providers delay or do not install updates, it can cause unwanted security implications for their environments. This paper conducts a large-scale measurement study of the update behavior of websites and their utilized software stacks. Across 18 months, we analyze over 5.6M websites and 246 distinct client- and server-side software distributions. We found that almost all analyzed sites use outdated software.
Our (in)Secure Web: Understanding Update Behavior of Websites and Its Impact on Security
Institut für Angewandte Geowissenschaften
Appendices containing the Supplemental Files for the doctoral thesis titled "Impact Structures: How post-impact thermal conditions influence magnetic behaviour"
Appendices - Impact Structures: How post-impact thermal conditions influence magnetic behaviour
Karlsruhe Institute of Technology (KIT), Geophysical Institute
The program RIGTID together with its subroutines computes the tidal accelerations on a rigid earth, i. e. no response of the Earth is considered. The tidal accelerations are calculated directly from the positions of moon and sun separately, i. e. if wanted two groups of tides (solar or lunar) can be handled differently. The program does not use a potential development, it includes the second, third, and fourth degree potential of the moon, but only the second degree potential of the sun. It treats the earth as an elliptically shaped body but does not include the direct effect of the earth's ellipticity on the tidal accelerations (Wilhelm 1983 and Dahlen 1993). It also does not take into account the speed of light. No planets are included, this is discussed by Broucke, Zuern, and Slichter, (1972, DOI: 10.1029/GM016p0319). This program was developed at UCLA in 1971/72 by Walter Zuern with the help of subroutines provided by Roger Broucke from JPL describing the position of the moon much more accurately than is done by the program developed by Longman previously. The description of the celestial mechanics of the Earth-Moon-Sun system was still very accurate in 2017 when compared to ephemerides, which are the basis of the most modern tidal potential catalogues. The program was originally already intended for free distribution ("open source" in 2017 speak). It has happened before that modifications were made in the main program by some people (rigtid.f) which were later detected to be faulty. It is recommended that users track the path of their version either starting at UCLA (probably not possible any more) or at BFO in order to be sure that no unwanted modifications crept in. If the program is used and an author wants a reference, the above (short) publication is the only one available.
Institut für Meteorologie und Klimaforschung Atmosphärische Aerosolforschung
The data in the two Excel files is related to the publication "Sources of organic gases and aerosol particles and their roles in nighttime particle growth at a rural forested site in southwest Germany" by Song et al., ACP, 2024, https://doi.org/10.5194/egusphere-2023-2255. The first Excel file (21Summer KITcn data-1) contains the time series of meteorological data, particle species measured by the AMS, eBC measured by the Aethalometer AE33, semi-volatile OA particle and selected VOC species measured by the CHARON-PTR-MS, and trace gases (NO, NO2, SO2, O3 and NH3). The second Excel file (21Summer KITcn data-2) contains the time series of source factors resolved from the PMF analysis of AMS-measured OA particles, CHARON-measured OA particles and PTR-measured VOCs, respectively.
The composition, sources and chemical transformation of volatile organic compounds (VOCs) and organic aerosol (OA) particles were investigated during July–August 2021 at a rural forested site in southwest Germany, 10 km north of the city of Karlsruhe. VOCs and semi-volatile OA particles were measured with a proton-transfer-reaction mass spectrometer coupled to the CHemical Analysis of aeRosols ONline particle inlet (CHARON–PTR-MS). The CHARON-measured OA mass accounted for 62+-18% on average of the total OA mass (4.2+-2.8 μgm-3) measured concurrently with an aerosol mass spectrometer (AMS). The total concentrations of measured VOCs ranged from 7.6 to 88.9 ppb with an average of 31.2+-13.4 ppb. Positive matrix factorization (PMF) was used to identify major source factors of VOCs and OA particles. Three types of oxygenated VOC (OVOC), namely aromatic OVOCs, biogenic OVOCs and aged OVOCs, contributed on average 11%+-9 %, 37%+-29% and 29%+-21% of total VOC concentrations, respectively. The results of AMS–PMF indicated substantial contributions of oxygenated organic compounds to OA particle mass. Three secondary OA (SOA) factors determined by CHARON–PMF analysis, namely aromatic SOA (5%7 %), daytime biogenic SOA (17%+-17 %) and nighttime biogenic SOA (28%+-21 %), consistently showed high contributions to the total CHARON-measured OA mass. Nighttime particle growth was observed regularly in this area, which was mainly attributed to the semi-volatile organic compounds and organic nitrates formed from the oxidation of monoterpenes and sesquiterpenes. This study presents the major sources, real-time transformations of VOCs and OA particles, and nighttime particle formation characteristics for central European forested areas.
Secondary organic aerosol and VOC in a forest
Sources of organic gases and aerosol particles and their roles in nighttime particle growth at a rural forested site in southwest Germany
Supplementary data for the publication: Mohr, S., Ehret, U., Kunz, M., Ludwig, P., Caldas-Alvarez, A., Daniell, J. E., Ehmele, F., Feldmann, H., Franca, M. J., Gattke, C., Hundhausen, M., Knippertz, P., Küpfer, K., Mühr, B., Pinto, J. G., Quinting, J., Schäfer, A. M., Scheibel, M., Seidel, F., and Wisotzky, C.: A multi-disciplinary analysis of the exceptional flood event of July 2021 in central Europe. Part 1: Event description and analysis, Nat. Hazards Earth Syst. Sci. Discuss. doi:10.5194/nhess-2022-137. 1) Inundation_Area_July2022_RiverAhr (Shape-Format) The dataset includes the inundation areas along the river Ahr, which were derived using available data (Sentinel-1, Sentinel-2) and pictures/video sequences from media and social media channels in near-real-time (within a few days after the flood). 2) BackwardTrajectories_baseonERA5_LAGRANTO (txt-Format) The dataset includes the pathway of air masses in the form of 10-day kinematic backward trajectories using the Lagrangian Analysis Tool (LAGRANTO; Sprenger and Wernli, 2015) based on ERA5 with different start dates. Further details can be found in the corresponding publication.
1) Inundation_Area_July2022_RiverAhr (Shape-Format) The dataset includes the inundation areas along the river Ahr, which were derived using available data (Sentinel-1, Sentinel-2) and pictures/video sequences from media and social media channels in near-real-time (within a few days after the flood). 2) BackwardTrajectories_baseonERA5_LAGRANTO (txt-Format) The dataset includes the pathway of air masses in the form of 10-day kinematic backward trajectories using the Lagrangian Analysis Tool (LAGRANTO; Sprenger and Wernli, 2015) based on ERA5 with different start dates and the following parameters: Reference date = start date time = hours before starting date lon = latitude in °E lat = latitude in °N p = pressure in hPa Q = moisture in g/kg T = temperature in K RH = relative humidity in % TH = potential temperature in K BLH = boundary layer height in m Further details can be found in the corresponding publication.
Data supplement for the publication: A multi-disciplinary analysis of the exceptional flood event of July 2021 in central Europe. Part 1: Event description and analysis
Institut für Technische Chemie und Polymerchemie (ITCP), Karlsruher Institut für Technologie (KIT)
The dataset contains 2D reconstructions of the Ag catalyst obtained using $in$ $situ$ ptychography. The Ag catalyst specimens were mounted on MEMS-based and TEM chips and studied under reaction conditions. Ptychography was performed at the NanoMAX beamline of the MAX IV Laboratory in Lund, Sweden. The specimens were treated in various gas mixtures and heated up to 500 $^{\circ}$C under atmospheric pressures. The gas environments for each specimen and its treatment conditions have been elaborately discussed within the published manuscript. A detailed description of the datasets can also be found in the corresponding readme text.
The ptychography reconstructions were performed using the difference-map algorithm within the PtyPy framework. The uploaded .h5 file contains the data and all relevant information including experiment parameters implemented at the beamline. Further detailed data processing steps following these 2D ptychography reconstructions have been outlined in the supporting information of the associated publication.
2D reconstructions of Ag catalysts studied using in situ X-ray ptychography at the NanoMAX beamline, MAX IV
Overview of the folder structure: -------------------------------- - These folders contain the actual optical images we took and that are the basis of our image cross-correlation (nomenclature is as in the paper): Sample1 - Copper Sample2 - Gold grains Sample3 - Array 1 Sample4 - Array 1 coated Sample5 - Array 2 coated Computer generated data each of these folders contains two subfolders 'drift' and 'step' containing the data referring to the drift measurement and the step-function measurement depicted in Fig.5 of the paper. The folder 'Comuter generated data' additionally contains a folder 'supplementary figureS1 data', which contains the data for said figure. The specific parameters are mentioned in the folder name (see numbers behind 'sig_x' and 'amplitude') - These folders contain the matlab scripts needed to perform the image cross-correlation and create the computer generated data. Matlab scripts Digital Image Correlation - These folders contain .stl files of the printed marker arrays Fabrication
Atomic scale displacements detected by optical image cross-correlation analysis and 3D printed marker arrays
Survey on the role of repositories for archiving and providing research data at KIT
ZAK | Zentrum für Angewandte Kulturwissenschaft und Studium Generale
Umfrage zur Rolle von Repositorien zu Archivierung und Bereitstellung von Forschungsdaten am KIT
[ECLIPSE]_T1_CBn-amplification_Dataset containing electrochemical and photophysical characterization of CB7-Ru
openCARP is an open cardiac electrophysiology simulator for in-silico experiments.
European High-Performance Computing Joint Undertaking EuroHPC (JU)
Each sample contains the following files: "flat_document.png" (2200x1700x3, uint8, 0-255), showcasing a document in perfect condition. "flat_information_delta.png" displays all texts which represent invoice data (2200x1700x3, uint8, 0-255). "flat_template.png" is an empty invoice template (2200x1700x3, uint8, 0-255). "flat_text_mask.png" visually presents all texts shown in the given document (2200x1700x3, uint8, 0-255). "warped_angle.png" shows warping-induced x- and y-axis angle (1600x1600x2, float32, -Pi to Pi). "warped_albedo.png" is an albedo map (1600x1600x3, uint8, 0-255). "warped_BM.npz" stores backward mapping, i. e. the realtive pixel shift from warped to normalized image for each pixel shifts (1600x1600x2, float32, 0-1). "warped_curvature.npz" has pixel-wise curvature of the warped document (1600x1600x1, float32, 0-inf). "warped_depth.npz" holds per-pixel depth between camera and document (1600x1600x3, float32, 0-inf). "warped_document.png" displays the warped document (1600x1600x3, uint8, 0-255). "warped_normal.npz" contains warped document normals (1600x1600x3, float32, -inf to inf). "warped_recon.png" features a chess-textured warped document (1600x1600x3, uint8, 0-255). "warped_text_mask.npz" is a boolean text pixel mask (1600x1600x1, bool8, True/False). "warped_UV.npz" stores warped texture coordinates (1600x1600x3, float32, 0-1). "warped_WC.npz" includes document coordinates in the 3D space (1600x1600x3, float32, -inf to inf). For more details see https://github.com/FelixHertlein/inv3d-generator. Released under CC BY-NC-SA 4.0. Excluded files are listed in 'restricted-license-files.txt' (located in record with DOI 10.35097/1730, "Inv3D: a high-resolution 3D invoice dataset for template-driven Single-Image Document Unwarping - Metadata"). These are for academic use only.
Numerous business workflows involve printed forms, such as invoices or receipts, which are often manually digitalized to persistently search or store the data. As hardware scanners are costly and inflexible, smartphones are increasingly used for digitalization. Here, processing algorithms need to deal with prevailing environmental factors, such as shadows or crumples. Current state-of-the-art approaches learn supervised image dewarping models based on pairs of raw images and rectification meshes. The available results show promising predictive accuracies for dewarping, but generated errors still lead to sub-optimal information retrieval. In this paper, we explore the potential of improving dewarping models using additional, structured information in the form of invoice templates. We provide two core contributions: (1) a novel dataset, referred to as Inv3D, comprising synthetic and real-world high-resolution invoice images with structural templates, rectification meshes, and a multiplicity of per-pixel supervision signals and (2) a novel image dewarping algorithm, which extends the state-of-the-art approach GeoTr to leverage structural templates using attention. Our extensive evaluation includes an implementation of DewarpNet and shows that exploiting structured templates can improve the performance for image dewarping. We report superior performance for the proposed algorithm on our new benchmark for all metrics, including an improved local distortion of 26.1 %. We made our new dataset and all code publicly available at https://felixhertlein.github.io/inv3d.
Inv3D: a high-resolution 3D invoice dataset for template-guided single-image document unwarping - Meta data
This repository contains the datasets shown in the study 'High Homogeneous Freezing Onsets of Sulfuric Acid Aerosol at Cirrus Temperatures'. Where needed, detailed information on the data can be found in there.
Datasets to: High Homogeneous Freezing Onsets of Sulfuric Acid Aerosol at Cirrus Temperatures
Raw data that was collected for the use in the publication Enhancing the oxidative cleavage of vicinal diols on Fe-ZSM-5 catalysts with hierarchical porosity
Raw data for Enhancing the oxidative cleavage of vicinal diols on Fe-ZSM-5 catalysts with hierarchical porosity
This dataset contains FAIR records which describe the laboratory equipment, software, consumables, and tribological specimens utilized in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Laboratory Equipment, Software, Consumables, and Tribological Specimens for Tribological Experiments - Sapphire on Copper - FAIR Dataset
The repository contains a general description of borehole location and logging information, the raw data file in WellCAD-Format and a pdf of the logging data.
DAMAST-KIT-2: Geophysical Borehole Logging Data
Institut für Programmstrukturen und Datenorganisation (IPD), Karlsruher Institut für Technologie (KIT), Institut für Prozessdatenverarbeitung und Elektronik (IPE), Karlsruher Institut für Technologie (KIT)
Institut für Prozessdatenverarbeitung und Elektronik (IPE), Karlsruher Institut für Technologie (KIT)
Battery degradation is critical to the cost-effectiveness and usability of battery-powered products. Aging studies can help to better understand and model degradation and to optimize the operation strategy. Nevertheless, there are only a few comprehensive and freely available aging datasets for these applications. To our knowledge, the dataset presented in the following is one of the largest published to date. It contains over 3 billion data points from 228 commercial NMC/C+SiO lithium-ion cells aged for almost 600 days under a wide range of operating conditions. We investigate calendar and cyclic aging and also apply different driving cycles to some of the cells. This dataset is an update to the dataset previously published under the DOI 10.35097/1947 and described in the publication with the DOI 10.1038/s41597-024-03831-x. This dataset only includes log data. The result data is published under the DOI 10.35097/1969.
Version 1 of the dataset [1] is described in detail in [2] and Chapter 7.1 of [3]. The differences between version 1 and version 2 (this dataset) are described in the "Readme" file in [4]. [1] Luh, M., Blank, T. Comprehensive battery aging dataset: capacity and impedance fade measurements of a lithium-ion NMC/C-SiO cell [dataset]. RADAR4KIT, 2024, DOI 10.35097/1947 [2] Luh, M., Blank, T. Comprehensive battery aging dataset: capacity and impedance fade measurements of a lithium-ion NMC/C-SiO cell. Sci Data 11, 1004 (2024). https://doi.org/10.1038/s41597-024-03831-x [3] Luh, M.: Bidirectional Charging Systems and Battery Lifetime Modeling for Vehicle-to-Grid Applications, dissertation, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany, 2024, DOI: 10.5445/IR/1000174456 [4] Luh, M., Blank, T. Comprehensive battery aging dataset: capacity and impedance fade measurements of a lithium-ion NMC/C-SiO cell [dataset – version 2: result data]. RADAR4KIT, 2024, DOI 10.35097/1969
electrochemical impedance spectroscopy (EIS)
Comprehensive battery aging dataset: capacity and impedance fade measurements of a lithium-ion NMC/C-SiO cell [dataset – version 2: log data]
Raw data for operando XAS characterization The overview file "overview_data.pdf" provides information on which data was used in each figure and where the data can be found. In agreement with FAIR data principles, the XAS spectra of reference materials were additionally provided for upload in the RefXAS database (http://xafsdb.ddns.net/). More information on RefXAS can be found in the work of Paripsa and Gaur et al. (DOI: 10.1107/S1600577524006751) Complete raw dataset is published after embargo period (12/2026) at ESRF data portal under CC-BY-4.0 licence: https://doi.esrf.fr/10.15151/ESRF-ES-1357822885 Additional funding, to the below mentioned KIT-related funding, can be found in the acknowledgements of the publication and in the overview file. Additional affiliation for A. Nicolai, D. A. Montalvo Berltran, F. J. Summ and C. Kiener: Foundational Technologies, Research & Predevelopment, Advanced Manufacturing & Circularity Siemens AG Otto-Hahn-Ring 6 81739 Munich Germany
Monitoring the Fate of Zn in the Cu/ZnO/ZrO2 Catalyst During CO2-to-Methanol Synthesis at High Conversions by Operando Spectroscopy - Raw Data
Institut für Biologische Grenzflächen (IBG), Karlsruher Institut für Technologie (KIT), Institut für Organische Chemie (IOC), Karlsruher Institut für Technologie (KIT)
Institut für Biologische Grenzflächen (IBG), Karlsruher Institut für Technologie (KIT)
Simulation code (Julia - programming language), NMR spectra and raw data (JCAMP-DX and Bruker format), Pulse shapes and Pulse programs (Bruker format).
The data sets comprise EinsMan (renewable feed-in management) data of the distribution system operators EDIS, Schleswig Holstein Netze, Bayernwerke and Avacon. These distribution system operators account for numerous feed-in management measures in the German power grid (for wind or solar generation). Due to the rise of the renewable energy share in the German electricity generation mix there is an increase in congestion in the German transmission and distribution grids. There are in general several measures in place to handle congestion. Often feed-in management (only renewable sources) is used, which raises several research questions. The data set provides a basis for their investigation. This data is part of a larger data set on congestion in the German electricity grids from 2015 to 2018. The related datasets are referenced below. The publication of this data set was supported by the German Research Foundation (DFG) as part of the Research Training Group GRK 2153: Energy Status Data - Informatics Methods for its Collection, Analysis and Exploitation.
The data is uploaded in separate zip-Files for each grid operator. The zip files contain daily .csv files which use the separator ",". Each file has the following columns: ID, Einsatz-ID, Start, Ende, Dauer(min), Gebiet, Ort Engpass, Stufe(%), Ursache, Anlagenschluessel, Anforderer, Netzbetreiber, Anlagen-ID and Entschädigungspflicht. Please be aware while using to change the encoding to "utf-8" or "ISO-8859-1" to not run into encoding issues while reading in the data. For all non-German speakers the column names are translated below: - Einsatz-ID : Action-ID - Start : start - Ende : end - Dauer (min) : duration (min) - Gebiet : area - Ort Engpass : location of congestion - Stufe(%) : Level(%) - Ursache : Reason - Anlagenschluessel : Installation key (specific description regarding german regulations) - Anforderer : requester - Netzbetreiber : grid operator - Anlagen-ID : installation ID - Entschädigungspflicht : liability for compensation
Renewable feed-in management data Germany 2015-2018
The dataset maps two different surfaces (domains) from mechanical engineering (Surfaces of Ball Screw Drives (BSD); Surface of Metallic Semi-finished Products (SEV)). The domains each contain image data with and image data without surface defects. The surfaces differ, but the defect features are similar across the domains. The dataset is thus suitable for investigating questions in the context of domain shift, domain generalization, and transfer learning. The dataset is structured as follows: BSD with defect (5240); BSD without defect (1896) SEV with defect (2018); SEV without defect (21806). Attention: The Domains are not balanced over classes. The SEV images are each 224x224 pixel RGB PNG files. THE BSD images are each 150x150 pixel RGB PNG files. The SEV data are excerpts from the Severstal dataset.
Domain-Shift-Dataset of Defects on Metallic Surfaces (MSD-Shift)
Umo_et_al_Table_1.csv is the data from Table 1: Sources, specific surface areas, pore volume,and the mediandiameter of coal fly ash aerosol particles used in this study. Umo_et_al_Table_2.csv is the data from Table 2: Information on the various ice nucleation experiments conductedduring two distinct AIDA measurement campaigns namedCAINIC01 and EXTRA18. Umo_et_al_Figure_7.csv is the data shown in Figure 7: Summary of the ice-activated fraction (%) of unprocessed and processed CFA_Cy, CFA_Mi, CFA_Ja, and CFA_Wh particles as a function of temperature. Umo_et_al_Figure_8.csv is the data shown in Figure 8: Comparison of the ice nucleation enhancement of CFA particles and other particles studied by Wagner et al. (2016).
Data from Figures and Tables from Umo et al. (2019), Atmos. Chem. Phys.
Graphical program for display time dependent data on 3D finite elment meshes
The repository includes comprehensive details on the scanning process of drill cores using DMT CoreScan3. It covers the scanning types, conditions, available file formats, and the labeling methods for core pieces. Additionally, we offer images of the core boxes, along with detailed photographs of individual core pieces captured by a camera after the structural analysis and labeling.
DAMAST-KIT-1: Drill Core Scans and Core Photos
Institut für Bio- und Lebensmitteltechnik
Double emulsions arouse great interest in various industries due to their ability to encapsulate value-adding ingredients. However, they tend to be unstable due to their complex structure. Several measurement techniques have already been developed to study and monitor the stability of double emulsions. Especially for the measurement of the filling degree of double emulsions, there is no reliable measuring method available so far. In this paper, a measurement system is presented that can measure the filling degree of W/O/W – double emulsions both spectrometrically and pho-tometrically. It is based on the Raman effect, does not require any sample preparation and the measurement has no negative influence on the double emulsion. It is shown that both spectrometric and photometric Raman techniques can reliably distinguish between double emulsions with filling degrees of 0,5 % difference. Additionally, oil droplet sizes can be measured photometrically. Furthermore, the measurement system can be integrated into emulsification processes both in- and online.
There are four different files: 1. "Droplet size distribution" This file contains the data of the droplet size distribution measurements of the inner emulsions as well as Fig. 3 2. "Fig. 2" This file contains the data of the spectra of the individual double emulsion phases as well as the diagram shown in Fig. 2 3. "Photometric_evaluation" This file contains all photometric data. Tab "Diagram Filling degree" --> Fig. 6 Tab " Diagram Droplet size" --> Fig. 7 Tab " Diagram Droplet size distribution" --> Fig. 8 Tab " Summary" Summary of all experiments/measured filling degrees Tab "0% ... 40%" evaluated data of all photometric measurements 4. "Spectrometric_evaluation" Tab "Rohdatenpython": A phython programm imports the spectroscopic data from txt.files to excel (simple copy&paste) Tab "Rohdaten": Data are copied from Rohdatenphyton to this tab. Negative wavenumbers (-88 till -1) are deleted Tab "Evaluation": Baseline correction of each measurement and calculation of the filling degrees Tab "Diagram_Spektren": Fig. 4 Tab "Diagram_Linearität": Fig. 5
Research data to the article "Measurement of the filling degree and droplet size of individual double emulsion droplets using Raman technologies"
The interplay of electronic correlations, multi-orbital excitations, and strong spin-orbit coupling is a fertile ground for new states of matter in quantum materials. Here, we report on a confocal Raman scattering study of momentum-resolved charge dynamics from a thin film of semimetallic perovskite $\mathbf{SrIrO_3}$. We demonstrate that the charge dynamics, characterized by a broad continuum, is well described in terms of the marginal Fermi liquid phenomenology. In addition, over a wide temperature regime, the inverse scattering time is for all momenta close to the Planckian limit $\mathbf{\tau^{-1}_{\hbar}=k_{\rm B} T/\hbar}$. Thus, $\mathbf{SrIrO_3}$ is a semimetallic multi-band system that is as correlated as, for example, the cuprate superconductors. The usual challenge to resolve the charge dynamics in multi-band systems with very different mobilities is circumvented by taking advantage of the momentum space selectivity of polarized electronic Raman scattering. The Raman responses of both hole- and electron-pockets display an electronic continuum extending far beyond 1000\icm ($\sim$125 meV), much larger than allowed by the phase space for creating particle-hole pairs in a regular Fermi liquid. Analyzing this response in the framework of a memory function formalism, we are able to extract the frequency dependent scattering rate and mass enhancement factor of both types of charge carriers, which in turn allows us to determine the carrier-dependent mobilities and electrical resistivities. The results are well consistent with transport measurement and demonstrate the potential of this approach to investigate the charge dynamics in multi-band systems.
Excel file containing all the data of the manuscript (Fig. 2 to 5)
Das Modell ermöglicht die Simulation des tangential-schlagenden Anziehprozesses mit dem Schlagschrauber. Zur Erzeugung von anwendungsnahen Ergebnissen ist eine Parametrierung auf den gegebenen Anwendungsfall erforderlich.
Simulationsmodell des tangential-schlagenden Anziehprozesses von Schraubenverbindungen
DAMAST-KIT-Spartak: Geophysical Borehole Logging Data
DAMAST-KIT-N1: Geophysical Borehole Logging Data
DAMAST-KIT-2: Drill Core Scans and Core Photos
DAMAST-KIT-4: Drill Core Scans and Core Photos
Institut für Funktionelle Grenzflächen (IFG), Karlsruher Institut für Technologie (KIT)
Research raw data to publication: XPS, IRRAS, Periodic DFT calculations, Embedded cluster calculations.
Raw data available for experimental results (XPS, polarization-resolved IRRAS) and theoretical calculations (periodic DFT and embedded cluster calculations).
Forschungsdaten zur Publikation: XPS, IRRAS, "Periodic DFT calculations", "Embedded cluster calculations".
Research data to "Adsorption of CO on α-Al2O3(0001): A combined experimental and computational study"
This dataset contains raw data and processing results as supplement to Kufner et al, submitted 2022 to GRL: The devastating 2022 M6.2 Afghanistan earthquake: challenges, processes and implications
Data can be used for InSAR processing or for seismological source inversion. Furthermore, 'results' data can be used for post-processing and the creation of plots and maps.
Supplement data for Kufner et al. (submitted 2022): The devastating 2022 M6.2 Afghanistan earthquake: challenges, processes and implications
Data sets used for plotting graphs in the figures and COMSOL files for the manuscript of "Integrated shimming enables independently parallel NMR detection"
Integrated shimming enables independently parallel NMR detection
DAMAST-KIT-1: Geophysical Borehole Logging Data
[1] Maximilian Schambach, Jiayang Shi, and Michael Heizmann: "Spectral Reconstruction and Disparity from Spatio-Spectrally Coded Light Fields via Multi-Task Deep Learning" International Conference on 3D vision (3DV), 2021
A multispectral light field dataset of three real-world highly textured scenes.
The dataset "DATA.zip" contains the decoded, white-balanced, and de-vignetted multispectral light fields. You can directly use these calibrated light fields in your research. If you do so, please cite our corresponding paper [1]. For further details, please see the provided README.txt.
A highly textured multispectral light field dataset
This archive contains data presented in the manuscript “Interaction of microphysics and dynamics in a warm conveyor belt simulated with the ICON model”. # Article: - Authors: Annika Oertel, Annette K Miltenberger, Christian M Grams , and Corinna Hoose - Title: Interaction of microphysics and dynamics in a warm conveyor belt simulated with the ICON model. - Journal: Atmospheric Chemistry and Physics - Publication Year: 2023 - Doi: https://doi.org/10.5194/egusphere-2023-259 This data set contains (i) cold front-relative vertical cross-section composites across the WCB cloud and (ii) online WCB trajectory data centered relative to the start of fastest embedded 600 hPa ascent phase from a high-resolution nested ICON simulation. For details on the ICON simulation, trajectory data and composites, please refer to the publication. # Data description: The data are in netCDF format and contain the following: - Cold front-relative vertical cross-section composites (front_rel_composites.nc) The cold front-relative vertical cross-section composites show characteristics of the WCB cloud band and are centered at the Western edge of the WCB cloud band at relative longitude rlon=0. The dataset contains standard meteorological variables, as well as diabatic heating ("dh_") and potential vorticity ("pvt_") rates from individual microphysical processes as well as from radiation, turbulence, convection and non-orographic and orographic gravity wave drag. Individual processes are described in detail in the publication. - Trajectory data are contained in the following datasets: - wcb_trajs_basic.nc (includes standard meteorological variables) - wcb_trajs_adh.nc (includes ascent-integrated diabatic heating rates (ADH) from various non-conservative processes) - wcb_trajs_apv.nc (includes ascent-integrated potential vorticity rates (APV) from various non-conservative processes)
This archive contains research data presented in the manuscript “Interaction of microphysics and dynamics in a warm conveyor belt simulated with the ICON model”.
Research data for "Interaction of microphysics and dynamics in a warm conveyor belt simulated with the ICON model"
The data comprise four tables containing low-temperature infrared extinction spectra, temperature- and composition-dependent ice nucleation onsets, and ice nucleation active surface site densities of crystalline AN/AS particles. The tables are provided in ".txt" format and can be opened in standard text editors or imported in spreadsheet programs like Microsoft Excel. Each table contains a comprehensive header describing the contents of the individual columns. The data are separated by tabs as a delimiter.
Data sets for the research article "Solid ammonium nitrate aerosols as efficient ice nucleating particles at cirrus temperatures" by Wagner et al. (2020) in the Journal of Geophysical Research (Atmospheres)
Steinbuch Centre for Computing (SCC), Karlsruhe Institute of Technology (KIT)
Institute of Meteorology and Climate Research, Atmospheric Trace Gases and Remote Sensing (IMK-ASF), Karlsruhe Institute of Technology (KIT)
Reduction of climate model total ozone columns to monthly and zonal means for use in time series and ozone recovery studies.
O3as service: https://o3as.data.kit.edu/
SBUV ozone measurements for O3as service (v1: zonal means and monthly means of total columns)
openCARP is an open cardiac simulator for in-silico experiments
GIA#1: Geophysical Borehole Logging Data
GIA#2: Geophysical Borehole Logging Data
Institut für Angewandte Physik, Institut für Nanotechnologie, 3D Matter Made to Order
### General Information This repository contains additional research data contributing to the doctoral thesis "On topological mechanics of 3D chiral metamaterials" by J. Köpfler. Further data of related publications (DOIs: 10.1002/adma.202103205 and 10.1103/PhysRevApplied.11.034059) can be found in the corresponding repository (DOI: 10.5445/IR/1000135066). ### Folder structure: The data in each folder is sorted in subfolders corresponding to the chapters of the doctoral thesis #### Fabrication - contains the 3D printing files for the microstructure casts (double-sided support mirror structure) and a file that was used to design the 3D microcast #### Calculations - contains the files for the Matlab scripts and COMSOL files for the FEM-calculations #### Experiments - contains the image series that was acquired for the evaluation of the resonance of the double-sided support mirror structure - contains the scripts to extract displacement data and generate the resonance plots etc. ### Experimental data treatment: Image cross-correlation was performed using the "grid\_generator\_" functions on the digital images, followed by the "automate\_images\_" functions. The resulting datasets "validx.dat" and "validy.dat" for the tracked x- and y-displacements are loaded, processed, collected, and plotted via the specific "combine\_parts\_" functions in the individual measurement folders.
Contributing research data to the doctoral thesis "On Topological Mechanics of 3D Chiral Metamaterials"
Simulation results tagged f05135 (see Appendix A in 10.5445/IR/1000084466) generated using Inovesa (10.5281/zenodo.1243264). The data is usable utilizeing e.g. the scripts provided at https://github.com/Inovesa/examples.
Institut für Mechanische Verfahrenstechnik und Mechanik (MVM), Karlsruher Institut für Technologie (KIT)
- The .csv files contain experimental data obtained from ATPF experiments at laboratory scale. - The flotation tank used contains 700 ml of the aqueous two-phase system (ATPS). The phase forming components were polyethylene glycol 1000 and trisodium citrate dihydrate. - Phospholipase A2 was used as the model enzyme and the model suspension was mixed with the bottom phase. - The flotation tank was conceptually divided into three compartments, each compartment containing a gassing unit and an electrical conductivity probe. The electrical conductivity probes were inserted 1 cm below the phase interface. - An UV/Vis spectrometer with flow cell was implemented at the top phase outlet to obtain the top phase concentration in real-time. The bottom phase concentration was calculated via a mass balance equation. - The file names contain the process parameters in the following order: feed concentration_gas flow rate combination (Vd_1-Vd_2-Vd_3, see also below)_residence time_volume ratio (top to bottom phase)_experiment number. - The .csv files contain the following experimental data: - t: time in min - R_top, R_bot: top and bottom phase recirculation (R = 1 for full recirculation, R = 0 for no recirculation) - c_bot_3, c_top_3: enzyme concentration obtained from UV/Vis measurements in % (w/w). - kappa_bot_1, kappa_bot_2, kappa_bot_3: Electrical conductivity measurements in all three compartments in mS/cm. - Qd_bot, Qd_top: Volume flows of top and bottom phase in ml/min. - Vd_1, Vd_2, Vd_3: Gas volume flows of the three gassing units in ml/min.
Online measurement data of continuous aqueous two-phase flotation (ATPF) for enzyme purification
Institut für Angewandte Biowissenschaften
The results are combined in three zip files, named according to the recipe. Within each zip file, samples are named according to the following procedure: Recipe (BC for basic cake, PC for pound cake or B for brioche); Product (c for cake, alias baked product and d for dough/batter); Treatment (Blank for untreated sample, A-O for lipase or QC for quality control); Replicate (a-c for triplicate and s for spiked sample a). e.g. sample BCdE_b is a batter sample of basic cake treated with lipase E
Lipases are promising improvers of cake batter and baking properties. Their suitability for use in various cake formulations cannot be predicted yet, because the reactions that lead to macroscopic effects need to be unravelled. Therefore, the lipidome of three different cake recipes with and without lipase treatment was assessed by ultra high performance liquid chromatography-mass spectrometry before and after baking. By comparing the reaction patterns of seven different lipases in the recipes with known effects on texture, we show that lipase substrate specificity impacts baking quality. Key reactions for the recipes were identified with the help of principal component analysis. In the eggless basic cake, glyceroglycolipids are causal for baking improvement. In pound cake, lysoglycerophospholipids were linked to textural effects. Lipase substrate specificity was shown to be dependent on the recipe. Further research is needed to understand how recipes can be adjusted to achieve optimal lipase substrate specificity for desirable batter and baking properties.
Effect of baking lipases on the lipidome of cake
### General Information This repository contains research data contributing to the Advanced Materials publication "Fused-silica 3D chiral metamaterials via helium-assisted micro-casting supporting topologically protected twist edge resonances with high mechanical quality factors" by J. Köpfler, T. Frenzel, J. Schmalian, and M. Wegener. ### Folder structure: #### Fabrication - contains the 3D printing files for the microstructure casts and a file that was used to design the 3D microcast - contains the digital microscope images and the data table that was used to determine the geometrical dimensions of the fused-silica microstructures #### Calculations - contains the files for the FEM-calculations of the band structure, eigenmodes and resonances of the microstructure with the determined geometrical dimensions - contains files for comparison of the calculated band structure with the measured resonance data #### Experiments - contains the image series that were acquired during the frequency sweeps to determine the resonances of the polymer forks, fused-silica tuning forks, the fused silica 3D chiral microstructure, and the excitation of the piezo actuator at the microstructure bottom plate - contains the scripts to extract displacement data and generate the resonance plots etc. ### Experimental data treatment: Image cross-correlation was performed using the "grid\_generator\_" functions on the digital images, followed by the "automate\_images\_" functions. The resulting datasets "validx.dat" and "validy.dat" for the tracked x- and y-displacements are loaded, processed, collected, and plotted via the specific "combine\_parts\_" functions in the individual measurement folders. Details can be found in the "paper_contribution.txt" files in the individual folders.
Contributing research data to: Fused-silica 3D chiral metamaterials via helium-assisted micro-casting supporting topologically protected twist edge resonances with high mechanical quality factors
These are the postprocessed ICON simulation outputs for following the article: Barrett, A. I., & Hoose, C. (2023). Microphysical Pathways Active within Thunderstorms and Their Sensitivity to CCN Concentration and Wind Shear. Journal of Geophysical Research: Atmospheres, 128, e2022JD036965. https://doi.org/10.1029/2022JD036965 All files are (compressed) netcdf files. "default" contains output obtained with the standard model configuration, "Ecoll0p5" with E_coll=0.5 and "Ecoll1p0" with E_coll=1.0. ccn6 is the lowest CCN concentration, ccn9 the highest. ws18 means wind shear of 18 m/s, and analogously for other wind shears. The time-invariant vertical grid is supplied as well.
Research data for ”Microphysical Pathways Active within Thunderstorms and Their Sensitivity to CCN Concentration and Wind Shear”
Students from KIT and Université Grenoble Alpes
Field seismic data (in su format) and the corresponding reports on it. 1. 'CloseMesh.su' is the data acquired on a fine-mesh acquisition geometry during different days. 2. 'LargeMesh.su' is the data acquired on a large-mesh acquisition geometry on a same day. 3. 'report_header_information.pdf' describes the header information of the su files. 4. 'Report_Rheinstetten KIT.pdf' is a report on the field measurement.
3D shallow-seismic data acquired at Rheinstetten
Flow field in drying poly(vinyl acetate) methanol film partially covered and subject to Marangoni convection
Data from PICNIC campaign taking place from 2018-03-25 - 2018-10-25 at Puy de Dôme. This dataset represents the INP concentration measured by the PINE instrument. The time is UTC+2. Parts of this dataset have already been published in a previous publication titled "The Puy de Dôme ICe Nucleation Intercomparison Campaign (PICNIC): comparison between online and offline methods in ambient air" by Lacher et al. under https://dx.doi.org/10.35097/1876.
Data from SPL01 campaign taking place from 2021-10-12 - 2022-07-12 at Storm Peak Laboratory. This dataset represents the processed data (Level 1) as created by the PIA software 2022.
Institut für Technische Chemie und Polymerchemie (ITCP), Karlsruher Institut für Technologie (KIT), Institut für Katalyseforschung und -technologie (IKFT), Karlsruher Institut für Technologie (KIT)
Karlsruhe Nano Micro Facility (KNMF), Karlsruher Institut für Technologie (KIT)
Institut für Photonenforschung und Synchrotronstrahlung (IPS), Karlsruher Institut für Technologie (KIT)
A PDF with information about sample labeling is added to the data
Raw data: Synergy of Ag and Pd in bimetallic catalysts for the selective oxidation of 5-(hydroxymethyl)furfural
This repository contains the data of the paper.
Modification of Al surface via acidic treatment and its impact on plating and stripping
Die Forschungsdaten entstanden in enger Kooperation mit der Professur für Werkstoffprozesstechnik (zweite Arbeitsgruppe des korrespondierenden Autors) an der Technischen Fakultät der Universität Freiburg sowie mit der Otto-von-Guericke Universität Magdeburg (Prof. Dr. Matthias Wappler).
In diesem Datensatz werden die verschiedenen Syntheseverfahren für Barium-Strontium-Titanate und die resultierenden Eigenschaften verglichen.
This dataset compares the two different synthesis methods for barium strontium titanate and the resulting properties.
Barium strontium titanate (BST) – Synthesis, Characterization and Electrophoretic Deposition
3D printing technologies have matured to produce complex structures, still they are often limited to static materials. Introducing alkoxyamine bonds into 3D printed structures offers unprecedented possibilities for post-synthetic modification through nitroxide exchange reaction (NER) and nitroxide-mediated polymerization (NMP). This study provides a comprehensive molecular and macroscopic characterization of 3D printed alkoxyamine-containing dynamic covalent adaptable networks (CANs). Our study provides new insights into their dynamic structural and mechanical alterations, making them promising candidates for advanced applications ranging from biomedical engineering to flexible electronics.
This dataset encompasses the raw data underpinning the measurements presented in our manuscript. Specifically, Figures 2b, 3a, S1a, and S1c were derived from text-based raw data obtained via EPR measurements. The raw data for Figure 3d, which involved IR measurements, are provided both in text format and as Opus files. For Figure 4a, which is based on ISEC measurements, the dataset includes information on the elution volume and molecular weight of polystyrene standards. This data was processed using the PSS Porocheck software, and the resultant plots are also available in an Excel file for further analysis. Figures 6a, 6b, and 6c, which involve DMA measurements, have their raw data stored in an Excel format. Likewise, the raw data for Figure 6d, derived from DSC measurements, are also cataloged in Excel files. Additionally, each set of measurement data is accompanied by OriginLab files, which were utilized for figure generation and are available for review. This comprehensive documentation and the use of common file formats like Excel and Opus ensure that our dataset is accessible and reusable for future research endeavors.
Investigating Dynamic Changes in 3D-Printed Covalent Adaptable Polymer Networks
We present high resolution measurements of ammonium (and other pollution trace gases) in the South Atlantic Upper Troposphere and Lowermost Stratosphere (UTLS) from the Gimballed Limb Observer for Radiance Imaging of the Atmosphere (GLORIA) during the StratoClim campaign with basis in Kathmandu, Nepal, on board the high altitude research aircraft Geophysica, 2017, and during the SouthTRAC (Transport and Composition in the Southern Hemisphere Upper Troposphere/Lower Stratosphere) campaign with bases in Oberpfaffenhofen, Germany, and Rio Grande, Argentina, on board the German High Altitude and Long range research Aircraft (HALO), 2019.
netCDF data can be opened with a variety of software tools, including Matlab, Origin, or Python. For a simple GUI solution, Panoply is recommended: https://www.giss.nasa.gov/tools/panoply/download/
Data for: Ammonia in the UTLS: GLORIA airborne measurements for CAMS model evaluation in the Asian Monsoon and in biomass burning plumes above the South Atlantic
The dataset contains electrical consumption data from a three months living lab experiment in the Energy Smart Home Lab (ESHL) at Karlsruhe Institute of Technology. During the experiment two tenants lived their daily life in the ESHL, a smart home consisting of a 60m² living area and a 20m² technical room. The dataset contains the electrical consumption data for every device and socket in the living area as well as the technical room. There is one set for the average electricity demand per 15min for all devices in the living room, one set for the average demand per 15min for all devices in the technical room, one set for the maximum demand per 15min for the devices in the living room and one set for the maximum demand per 15min for the devices in the technical room. Due to technical difficulties the recording for the devices in the technical room started two weeks after the recording of the living area. There are also some shorter gaps in the data due to power outages. In addition to the electrical consumption data, a timeseries for the outdoor temperature with a temporal resolution of 15min is included in the dataset.
Electrical consumption data from a three months living lab experiment in the Energy Smart Home Lab
# In-Process Porosity Detection Dataset by Means of Structure-Borne Acoustic Emission Measurement Technology in PBF-LB/M by wbk Institute of Production Science and ZEISS Please see provided Jupyter Notebook "README" for further information. This dataset is part 1 of 2.
In Process Porosity Detection Dataset by Means of Structure-Borne Acoustic Emission Measurement Technology in PBF-LB/M by wbk Institute of Production Science and ZEISS - Part 1
This package provides the results of the Mixed-Integer Linear Programm simulations used in the evaluation section of the paper "Solar Farm Cable Layout Optimization as a Graph Problem".
Solar Farm Cable Layout Optimization as a Graph Problem (MILP results)
Institut für Produktentwicklung (IPEK), Karlsruher Institut für Technologie (KIT)
The data set consists of five types. 1) In table AnthroDemoMaxForcesTable.mat the anthropometric data, the gender and the maximum grip and push forces of the subjects are listed. 2) In Matrix resultsMatrix.mat the mechanical impedance and the phase angle of the measurements of the subjects study are summarized. The resulting mechanical impedance and the phase angle are already calibrated in each direction, and can be used directly from the matrix. The matrix consists of three dimensions, the first is the mechanical impedance and the phase angle in the direction of excitation (zh), the second dimension is the cross-axial mechanical impedance and the phase angle in xh-direction, and the third dimension is the cross-axial mechanical impedance and the phase angle in yh-direction. The directions are named according to the coordinate system of DIN 5349:2001. Each row of the matrix represents one measurement. The following data information and results are in the corresponding columns: - 1: number of the subect - 2: is 0 if the grip and push forces during the measurements are within the range of 5N and 14%, otherwise a 1 is at this position. This can be used for data exclusion. - 3: predefined push force value - 4: predefined grip force value - 5: experiment number according to the resultsMatrix for each subject - 6: sequence of the taken measurements of each subject, due to a randomized test plan - 7: mean measured grip force - 8: median measured grip force - 9: standard deviation of the measured grip force - 10: mean measured push force - 11: median measured push force - 12: standard deviation of the measured push force - 13: mechanical impedance at 10 Hz - 14: phase angle at 10 Hz - 15: mechanical impedance at 15 Hz - 16: phase angle at 15 Hz - 13:2:209 mechanical impedance between 10-500 Hz in 5 Hz steps - 14:2:210 phase angle of the mechanical impedance between 10-500 Hz in 5 Hz steps 3) The VPAmatrix.mat is according to resultsMatrix.mat, instead of the mechanical impedance in positions 13:2:209 the vibration power absorption values are listed and in positions 14:2:210 the weighted vibration power absorption according to ISO10068:2012 is listed. Here, only the direction of excitation is evaluated. 4) Raw data, the data name consists of the time stamp and is named afterwards in the same order as the matrix: Px, where x is the number of the subject, followed by the push and then the grip force and the position in the matrix. In each struct the metadata, the time and the signals are saved. The excitation in the subject study was applied along the forearm axis (zh according to DIN5349:2001). Therefore, the signals az_top and az_bottom are the acceleration at the top and bottom of the measuring handle in excitation direction. The signals Fz_top and Fz_bottom are the forces in the direction of excitation, both are used to calculate the mechanical impedance and vibration power absorption in the excitation direction (dimension 1 in the resultsMatrix.mat file). The signals used for the second dimension of the resultsMatrix are Fx_top, Fx_bottom, az_top, az_bottom, for the third dimension Fy_top, Fy_bottom, az_top, az_bottom are used. 5) emptyMeasurement.mat is a measurement of the unloaded handle while excited with the same signal as in the subject study. This file can be used for the calibration of the handle.
The data set contains the raw as well as the evaluated data from a subject study with 6 subjects to measure the mechanical impedance and the vibration power absorbtion while varying the grip and push forces in ten levels between 10-135N and 10-110N respectively. The measuring handle on which the study was conducted complies with the specifications in ISO10068:2012. The subjects were randomised to hold the force levels while vibrations were applied translatory along the lower arm axis (zh-axis according to DIN5349:2001) to their hand-arm system via a shaker system, with the posture of the subjects lying within the ranges specified in ISO 10819:2022. The excitation was a multisine with frequencies between 10 to 500 Hz in 5 Hz steps with an root mean square value of 40m/s². The acquisition time of each measurement is 16.5 sec, for the evaluation the data is cutted to exclude the first 4 sec and the last 1.5 sec.
Measurements of the Mechanical Impedance and Vibration Power Absorption for Varying Grip and Push Forces
Recently, a new generation of high strength steels was introduced by using a lateral chemical pattern of an austenite stabilizer before quenching from partially homogenized austenite to succeed with fine-scaled microstructures of austenite and martensite. A pearlitic microstructure of ternary Fe-Mn-C is a suitable initial state for this when Mn effectively partitions into the cementite. The Matlab script published here provides an implementation of theoretical considerations on partitioning, negligible-partitioning as well as activity-based local equilibrium conditions based on thermodynamic data. With respect to the description of the physical fundamentals of this code incl. the relevant liteature sources, the users should consult the manuscripts linked to this dataset.
The software dataset contains the following parts: (1) code.m is the Matlab script tested under Matlab R2022a (2) The required data to run the script are alpha_gamma_600C.dat gamma_theta_600C.dat alpha_theta_600C.dat activity_600C.dat These files contain tie line data for the temperature under consideration, 600 °C in the example. Three different two-phase equilibria are required, each between alpha-(Fe,Mn,C), gamma-(Fe,Mn,C) and theta-(Fe,Mn)3C. The file “activity_600C.dat” contains grid data on the activity within gamma-(Fe,Mn,C). The data might be replaced by output from thermodynamic software. The read in is optimized for output files from Pandat.
Matlab code to "Assessment of the compositional requirements to form Fe-Mn-C austenite-martensite composites"
The ptychography reconstructions were performed using the ePIE algorithm of the Ptycho software implemented at the P06 beamline of PETRA III, DESY. Further detailed data processing steps following the 2D reconstructions have been outlined in the manuscript and the .txt file uploaded.
The dataset contains 2D reconstructions of the Ag catalyst obtained using $in$ $situ$ ptychography. The Ag catalyst specimens were mounted on MEMS-based and TEM chips and studied under reaction conditions. The ptychography was performed at the P06 beamline of PETRA III in DESY, Hamburg, Germany. The specimens were treated in air or inert (He) conditions and heated up to 650 $^{\circ}$C under atmospheric pressures. A detailed description of the dataset can be found in the corresponding readme file and its associated manuscript publication.
2D reconstructions of Ag catalysts studied using in situ X-ray ptychography at P06 beamline, PETRA III, DESY
Forest Tree Species Segmentation in very-high resolution UAV-based orthomosaics
Leipzig University, Remote Sensing Centre for Earth System Research
University of Freiburg, Chair of Forest Growth and Dendroecology
Karlsruhe Institute of Technology, Institute of Geography and Geoecology
This dataset contains UAV-based RGB-orthomosaics and corresponding tree species masks over temperate forests in the Southern Black Forest in Germany.
Overview of the folder structure: --------------------------------- The folder here correspond to the section in the Communications Materials paper "Large characteristic lengths in 3D chiral elastic metamaterials" by Tobias Frenzel, Vincent Hahn, Patrick Ziemke, et. al. - 3. Microstructure Calculations Contains both beam theory and finite volume element calculations of the microstructure. - Results Beam Thoery contians the tabulated results obtaint by the abaques files as .dat and .txt files as well as the abaqus files used to calculate the data in the paper, the data stored here is displayed in Fig. 3, Fig. 5, Fig. S1, Fig. S3. - Results Volume Elements contians the tabulated results obtaint by the comsol files as .dat and .txt files as well as the comsol files used to calaculate the data. in the paper, the data stored here is displayed in Fig. 5, Fig. S1, Fig. S3. - 4. Micropolar Continuum Elasticity Contains the Comsol files with the micropolar continuum implementation - Relsuts Micropolar Elasticity contians the tabulated results obtaint by the comsol files as .dat and .txt files as well as the corresponding comsol file - 5. Experiments Contains all the picture obtained during measurement for the different samples - Multifoucs setup in the subfolder, the data for varius scaling Factors N are included. Every subfolder also contains the text data "rotation_angle.txt" with the extracted rotation angles - Nanoscribe setup same es in the previous folder, but for different samples - Fabrication contains all files nessecary to print the structures using the direct laser writing setups Treatment of the experimental data ---------------------------------- - a grid was created with the regions of intrest that should be tracked for evaluation using "grid_generator.m" - a filelist including all picture names was created using "filelist_generator.m" - the image cross-correlation was performed using "automate_image2" - using the matlab scriped "evaluation_roation.m" or "evaluation_rotation_Graphics.m" that is included in every folder "N_1", "N_c", etc. the rotation angle was evaluated and written to a text file "rotation_angle.txt" in the same folder.
Large characteristic lengths in 3D chiral elastic metamaterials
Elektrochemische Technologien (IAM-ET1), Karlsruher Institut für Technologie (KIT)
Data included consists of .csv files of the kMC results. The data can be viewed in Excell, and is labeled based on its corresponding Figure.
Insights on SEI Growth and Properties in Na-Ion Batteries via Physically Driven Kinetic Monte Carlo Model
There are two ways to reproduce the graph generation experiments: 1. Unpack the archive hyperbolic-scripts.zip, run the python script download-install.py, followed by the script experiment-plot.py. Install any missing dependencies, rerun if necessary. 2. Use "docker load hyperbolic-image.tar" to load the image and "docker run hyperbolic-reproducibility" to run it. After the experiments are completed, use docker save -o filesystem.tar. to save the filesystem of the docker image to a tarball, inspect the compiled plots in /app. Running all the experiments might take ~100 hours, 256 GiB of memory and 16 cores. The same methods apply to reproduce the experiments to partition protein graphs, with the script archive protein-scripts.zip and the docker image protein-image.tar. These experiments take about 3 hours and 4 GiB of memory. The experimental logs of the partitioning with balanced k-means are found in the archive Geographer-comparison-log-files.tar.gz.
The corresponding dissertation contains several types of experiments. The graph generation experiments were conducted on a shared-memory machine with 16 cores. To reproduce these experiments, this package contains a docker image. For the experiments regarding large-scale graph partitioning, we used phase 1 of the SuperMUC cluster, including tens of thousands of cores. For this set of experiments, we do not include a script to reproduce it, as the original computing environment is no longer available and the experimental pipeline depends on details of the system setup, making an automated reproduction difficult. Instead, we offer the output logs and summarized data of our experiments.
Digital Artefacts and Appendix for the Dissertation of Moritz v. Looz
Institut für Angewandte und Numerische Mathematik, Sonderforschungsbereich 1173
This code has been used for the numerical experiments in the thesis "High-frequency wave-propagation: error analysis for analytical and numerical approximations" by Julian Baumstark, see https://www.doi.org/10.5445/IR/1000149719.
The scripts are intended to reproduce the figures from the thesis "High-frequency wave-propagation: error analysis for analytical and numerical approximations" by Julian Baumstark ################################################################################ #### Requirements The codes are tested on Ubuntu 18.04 LTS with Matlab R2020a ################################################################################ #### Generation of figures With this code Figures 3.1, 3.2, 4.1, 4.2, 4.3, 5.1, and 5.2 can be generated. The calculation of the data for Figure 4.1, 4.2, 4.3, 5.1 and 5.2 takes a few days and requires a storage space of about 140 GB. #### Figure 3.1 and 3.2 In order to obtain Figure 3.X (X=1 or 2) run the command visualize_Fig3X.m in Matlab. #### Figure 4.1, 4.2 and 4.3 Open folder "Chapter_4" in Matlab. In order to obtain Figure 4.X (X=1 or 2 or 3) first run the command kleingordon_analytical_approx.m to compute the data. Then, run visualize_Fig4X.m in Matlab. #### Figure 5.1 and 5.2 Open folder "Chapter_5" in Matlab. In order to obtain Figure 5.X (X=1 or 2) first run the command kleingordon_numerical_approx.m to compute the data. Then, run visualize_Fig5X.m in Matlab.
Numerical experiments to "High-frequency wave-propagation: error analysis for analytical and numerical approximations"
Institut für Nukleare Entsorgung (INE), Karlsruher Institut für Technologie (KIT)
In deep geological repositories for nuclear waste, iron container-bentonite interactions may impact the long-term performance of engineered clay barrier. Anaerobic canister corrosion, leads to Fe(II) release. Reactions of Fe(II) with bentonite, may modify its properties over time. Accurate performance predictions for high-level radioactive waste (HLW) storage systems require detailed insights into these interactions under relevant thermal conditions. This study explores the secondary phase formation during the reaction of iron powder with GMZ bentonite, MX-80 bentonite, or KGa-2 kaolinite under anoxic conditions. Two series of batch experiments are presented: a continuous high-temperature experiment with mixed bentonite iron suspensions stored at 90°C for up to seven months, and a high-plus-low temperature experiment, with mixed iron clay suspensions stored for four months at 90°C and five months at ambient temperature. In the presented experiments, montmorillonite - the main component of bentonite - undergoes complete delamination within one week. Iron is taken up by the clay matrix, reaching Fe-contents of ~ 30 atom %, which then remain constant. We suggest that the Fe uptake is driven by the formation of Fe(II/III) containing hydroxide sheets near/at delaminated montmorillonite sheets, inducing the formation of a serpentine like 1:1 phyllosilicate. Crystalline iron oxides (i.e. magnetite) form only at later stages, suggesting the kinetic preference of silicate-bound iron retention. At ambient temperature, the crystallinity of the Fe-phyllosilicate improves. All clay educts, bentonites as well as kaolinite are transformed into chemically and structurally similar phyllosilicates, emphasizing the relative stability and preferential formation of the resulting serpentine phases. In this data publication we publish the spectroscopic and diffraction data as well as geochemical modelling files, which are explained in detail in the associated manuscript.
In this data publication we publish the spectroscopic and diffraction data as well as geochemical modelling files, which are explained in detail in the associated manuscript with the same title, authors and publication year.
Iron Induced Alteration of Bentonite to Serpentine Minerals at 90°C
- thesis.zip: only the data - thesis-docker.tar.xz: data and software as exported Docker container - thesis.sif.xz: data and software as Apptainer container - Thesis_Daniel_Hauck.pdf: digital version of the thesis - donut.gif: animation referenced in chapter 2
Software used in the referenced thesis. For more details, see the README.md file included in all formats.
To use Docker container: docker load thesis-docker.tar.xz To use Apptainer container: xz -d thesis.sif.xz; apptainer run --no-home -w thesis.sif
Data for Thesis: Magnetic 2π Domain Walls for Tunable Majorana Devices
X-ray tomographic data of a fossil Archaeopteryx (SMNK-PAL 10,000a-c (Karlsruhe specimen)) described in Foth et al. 2024. The archive contains scans of 1) right arm, 2) right hindlimb, 3) fragments of left humerus, 4) fragments of left radius & ulna, and 5) left hindlimb. To facilitate data handling, the original tomograms were converted to eight bits and cropped to the regions of interest.
X-ray, tomography, CT, fossil, Archaeopteryx, Urvogel, Jurassic
Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology, Karlsruhe, Germany
- mie_x1.csv and mie_x2.csv are outputs from Mie calculation for size parameter<0.5 and size parameter>0.5, respectively. In both files, the columns are aerosol optical properties and physical characteristics of aerosol. The row represent different samples from Mie calculations.
- icon-art-aging-aero_DOM01_ML_0022.nc is the ICON-ART output for dust case study
- Soufriere-April-2021-fplume-aerodyn-forecast_mode_DOM03_ML_0162.nc is the ICON-ART output for volcano case study
Data used for training and validating MieAI model:
- icon-art-LAM_DOM01_ML_0023.nc is the ICON-ART output for Biomass case study
MieAI: A neural network for calculating optical properties of internally mixed aerosol in atmospheric models
#In-Process Porosity Detection Dataset by Means of Structure-Borne Acoustic Emission Measurement Technology in PBF-LB/M by wbk Institute of Production Science and ZEISS Please see provided Jupyter Notebook "README" for further information. This dataset is part 2 of 2.
In Process Porosity Detection Dataset by Means of Structure-Borne Acoustic Emission Measurement Technology in PBF-LB/M by wbk Institute of Production Science and ZEISS - Part 2
Daten zu den Abbildungen 2b, 6, 7, 8 und 9 der Publikation "Spreading and rebound dynamics of sub-millimetre urea-water-solution droplets impinging on substrates of varying wettability" im Dateiformat OriginPro.
This is the dataset accompanying the paper "Shaving Peaks by Augmenting the Dependency Graph" by Barth and Wagner The dataset contains a snapshot of the code used for publication. The code snapshot itself contains documentation on how to use it. Note that a more up-to-date version of the same code may be found at https://github.com/kit-algo/TCPSPSuite/ . The code in this data set should only be used if using the exact same software as for the original publication is desirable. In the paper, three instance sets, a small, a large and a "window" instance set are described. These are included here, too. A description of the data format is included within the documentation of the code.
Dataset accompanying "Shaving Peaks by Augmenting the Dependency Graph"
Raw Data, especially TEM, STEM, confocal microscopy as well as friction data
Raw Data to manuscript on tribologically induced oxidation
Institute for Meteorology and Climate Research, Karlsruhe Institute of Technology
Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology
Model results of nitric oxide (NO) and temperature (T) from the four chemistry-climate models WACCM, HAMMONIA, EMAC, and KASIMA within the Heppa III intercomparison experiment on electron precipitation impacts, derived as part of activities of the SPARC Solaris-Heppa working group 5 (https://solarisheppa.geomar.de/workinggroups). Model runs are carried out for the period March 16 to April 25, 2010, and model data are gridded onto the footprints (latitude, longitude, UT time of day) of the three satellite instruments SCIAMACHY/ENVISAT, MIPAS/ENVISAT and SOFIE/AIM. Model experiments are carried out using different ionization rate data sets: AIMOS, APEEP, and OULU, as well as a number of sensitivity experiments based on AIMOS data: without auroral electron precipitation (AIMOS_sens1), without medium energy electron precipitation (AIMOS_sens2), without photoionization (AIMOS_sens3), without photoionization and proton ionization (AIMOS_sens4), without upper boundary condition (AIMOS_sens5), without upper boundary condition and proton ionization (AIMOS_sens6). More information, e.g. about naming conventions, is given in description_of_datasets.pdf.
Atmosphere, Space Physics, Solar-Terrestrial Physics
Chemistry-climate model results of nitric oxide for the HeppaIII intercomparison experiment on electron precipitation impacts
This repository contains Jupyter Python Notebooks that implement impedance calculations as shown in Hyperpolarization and Sensitivity in Nuclear Magnetic Resonance by Karel Kouril and Benno Meier Journal of Magnetic Resonance Open Special Issue on Hyperpolarization RF_Circuit.ipynb contains the impedance / Q calculations as detailed in the manuscript RF_Circuit_SciKit_RF contains a basic analysis of the same circuits using the scikit-rf package The .html files with the same names are non-executable exports of these notebooks for inspection only.
Hyperpolarization and Sensitivity in Nuclear Magnetic Resonance - Python Notebooks / Circuit Impedance and Q-factor Calculation
Dataset for the paper "Frequency Multiplexing Enables Parallel Multi-Sample EPR"
Frequency Multiplexing Enables Parallel Multi-Sample EPR
This archive contains research data presented in the publication 'Aerosol dynamic processes in the Hunga plume in January 2022: Does water vapor accelerate aerosol aging?' [ACP]
- ICON-ART raw data for experiments 'Reference' (Hunga_ref.tar.gz) and 'noH2Ochem' (Hunga_noH2Ochem.tar.gz) - data to the figures: plume_development_maps.tar, plume_development_time.tar, plume_development_time_height.tar
Research data for 'Aerosol dynamic processes in the Hunga plume in January 2022: Does water vapor accelerate aerosol aging?' (Part 1/3)
Arbeitsgruppe A. V. Ustinov, Physikalisches Institut, KIT
Simulation and measurement data used in the dissertation manuscript by Alexander Bilmes(1) "Resolving locations of defects in superconducting transmon qubits" (defense on 8Feb2019, Referent Prof. A.V. Ustinov, Koreferent: Prof. A. Shnirman ), published via KITopen in Aug2018. (1) Physikalisches Institut, KIT, Wolfgang-Gaedestr. 1, 76137 Karlsruhe DOI of this data publication: 10.5445/IR/1000097356 zip files: part1-3: simulation data part4: matlab functions to generate plots contained in the dissertation manuscript after unzipping, you will find the following folders: - Fig2_3: matlab function and data used to generate the figure 2.3 - Fig4_3: matlab function and data used to generate the figure 4.3 - FigD2: matlab function and data used to generate the figure D.2 - TLS-locations\TLS_locations_allQubs_publish.m: matlab function used for the analyzis of TLS locations, and generation of Figures 2.10, 2.11, 4.6-4.8, 4.12-4.14, D.1, E.5, E.6, E.8, F.1 - TLS-locations\errorEstimation_InterfaceParticipation_publish.m: matlab function to estimate the errors presented in Equation 4.7 (Output files Pint_QB2_runAug2018 and Pint_QB2_runAug2018_roughSweep can be plotted with the same function: set the variable "loadprevious" to 1) - E-field_simulations_2D_1 and _2D_2 and _3D: simulation data used in the analyzis above. - E-field_simulations_2D_2\Exported_Data\path_along_film-edge-profile: matlab function to generate the points at the film edge profile (2D model), at which the electric field shall be exported from the simulation model - E-field_simulations_3D\Exported_Data\potential_for_2D-simu_V5_2_10: data exported from the 3D model to find the effective potential for the electrodes in the 2D model (see Fig 4.4 c) - E-field_simulations_3D\Exported_Data\Field_Along_Edges: exported data of electric fields along the fim edge in the 3D model, presented in Figs. 4.6 and F.6
Additional data for the dissertation: Resolving locations of defects in superconducting transmon qubits
The dataset collects research data related to the research on the high performance thermoplastic PEEK used as mold insert for ceramic injection molding.
Der Datensatz umfasst Forschungsdaten im Zusammenhang mit der Untersuchung des Hochleistungs-Thermoplasten PEEK, welcher als Formeinsatz für das Keramikspritzgießen verwendet wird.
Die hier gelisteten Forschungsdaten wurden teilweise für folgende Publikation verwendet: T. Hanemann, A. Klein, H. Walter, D. Wilhelm, S. Antusch, Evaluation of Material Extrusion Printed PEEK Mold Inserts for Usage in Ceramic Injection Molding, Journal of Manufacturing and Materials Processing, 8(4), 156 (2024), DOI: 10.3390/jmmp8040156.
Research on poly(ether ketone ketone) PEEK used as mold inserts
Federal Agency for Cartography and Geodesy (BKG), Wettzell, Germany
Federal Agency for Cartography and Geodesy (BKG), Leipzig, Germany
Black Forest Observatory (BFO), University of Karlsruhe (TH)
We present the software as now is available in a gitlab repository, documenting all changes applied to the original code. The software is complemented by data examples, which were distributed together with the original binary executable on CD-Rom.
Access to source code is essential in order to keep the program running on new computer platforms with recent compilers. Minor (and in a few cases major) modifications where applied by researchers to correct errors or support new features. This resulted in the unpleasant situation that different versions of the programs are circulated, where the relation to the original version is unclear (in particular with respect to source code modifications) and a clear statement is missing what holders of the source are allowed to do or not. Meanwhile (20 years after Eterna was first published) technical means are commonplace to publically distribute source code together with proper licensing and with each single modification being properly documented (such that the original author must not be blamed for mistakes introduced later).
In the belief that it would be in the intention of Hans-Georg Wenzel to support the continued use of Eterna in the tidal community, while allowing a clear distinction between current modifications and his original version and in the consent with his widow, Marion Wenzel, we publish the source code under terms of the GNU General Public License on a server of the Karlsruhe Institute of Technology (KIT) which is the successor of the University of Karlsruhe.
Eterna, the 'Earth tide data processing package', was created by the late Prof. Hans-Georg Wenzel at the Black Forest Observatory and the University of Karlsruhe in the 1990s. This collection of programs established one standard of tidal analysis and prediction in the Earth tide community. Originally distributed only in the form of executable binaries, source code started to be distributed in the community after Hans-Georg Wenzel passed away in 1999.
Eterna - Programs for tidal analysis and prediction
Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research Troposphere Research
Institute of Meteorology and Climate Research Troposphere Research
This dataset contains Doppler lidar measurements in the level 1 data format required for wind profile processing with AtmoProKIT. The measurements were carried out at Fischerbach from 10th to 12th July 2023.
AtmoProKIT level 1 Doppler lidar measurements demonstration dataset
The data contains the segmented, labeled electron tomography data of two different particles of an activated Ni/Al$_{2}$O$_{3}$ reference catalysts for CO$_{2}$ methanation.
The experimental procedure and data analysis details are provided in the respective original publication. Segmentation and labeling were performed with the software Avizo. The data import is possible and was tested with Avizo and the open source software ImageJ. The data is named according to the publication with ET1 and ET2 for the respective sample, while "material" is the solid, "pores" is the complete pore system and "pores.separate" is the separated pore system into individual pores.
Electron Tomography Datasets of a Ni/Al$_{2}$O$_{3}$ Reference Catalyst
Source and numerical data used to generate Fig.3 (right) of https://doi.org/10.1103/PhysRevB.105.115113. Details are given in the README.txt.
Data to: Breakdown of the Wiedemann-Franz law at the Lifshitz point of strained Sr2RuO4
This C++ code implements a cell-by-cell model of cardiac excitation using a piecewise-continuous finite element discretization and spectral deferred correction time stepping. The code is based on the Kaskade 7 finite element toolbox and forms a prototype for the µCarp code to be implemented in the Microcard project.
Higher-order time integration using spectral deferred correction method (SDC) in a cell by cell discretization of cardiac excitation
This data repository contains the most important simulation data of the master thesis "On the impact of spanwise inhomogeneous boundary conditions on secondary flows in turbulent channels" by Jonathan Neuhauser (2021). In particular, the temporally and flow directionally averaged flow fields (mean velocities, Reynolds stresses, triple correlations, terms of the TKE balance) of all simulations are included. The data are stored as a compressed NumPy file in the subfolder of the respective simulation. To simplify the evaluation, a script (incl. the pyxcompact library created in the course of the work) is included to extract the data for all figures based on the included simulations.
Dieses Datenrepository enthält die wichtigsten Simulationsdaten der Masterarbeit "On the impact of spanwise inhomogeneous boundary conditions on secondary flows in turbulent channels" von Jonathan Neuhauser (2021). Insbesondere sind die zeitlich und in Strömungsrichtung gemittelten Strömungsfelder (mittlere Geschwindigkeiten, Reynoldsspannungen, Dreifachkorrelationen, Terme der TKE-Bilanz) aller Simulationen enthalten. Die Daten sind als komprimierte NumPy-Datei im Unterordner der jeweiligen Simulation abgelegt. Um die Auswertung zu vereinfachen, ist ein Skript (inkl. der im Rahmen der Arbeit erstellten pyxcompact-Bibliothek) beigelegt, mit dem die Daten für alle Abbildungen, die auf den enthaltenen Simulationen basieren, extrahiert werden.
All simulation folders contain the input file(s) for the simulation as well as the time-averaged one-point statistics of the flow. For all simulations, the following data is available: - mean velocities ``, `<v>`, `<w>` - Reynolds stresses `<u_i'*u_j*>`, pressure correlations `<u_i'*p'>` - Triple correlations `<u_i'*u_j'*u_j'>` - Averaged terms of the balance of turbulent kinetic energy (TKE): Production `P`, Pseudo-dissipation `psdiss`, pressure transport `ptr`, turbulent transport `ttrans`, viscous diffusion `viscdiff` and mean convection `mconv` - signed swirling strength `swirl_signed` - Invariants `eta`, `zeta` for the Lumley triangle as well as the averaging interval, and the y and z coordinates. For some SSBC cases, time-averaged spectra have been included. Their generation is lined out in the thesis; the methods required for generating them from the raw source files are included in `recreate_figures.py`. The dimension factors of the data have not been altered from the XCompact3D defaults. The dimension factor for velocity may be computed based on `` (e.g. friction velocity, bulk velocity). The viscosity, which is required to make the TKE fields dimensionless (dimension factor `u_tau^4/nu`) is given as `nu = 1/re_cl` with `re_cl = (re_tau/0.116)**(1.0/0.88)`. A script to extract the data for the figures in the thesis is also included. This script queries the library described in the Appendix, `pyxcompact`. The following libraries are used (tested versions in parentheses): - `numpy` (1.19.2) - `matplotlib` (3.3.2) - `scipy``(1.5.2) (for interpolation of fields) - [optional] `einsum2` (0.1) (increases performance of derivation calls) The script has been tested with `Python 3.7.6` and `Python 3.8.5`. It is called as follows: `python recreate_figures.py`. On executing, some console messages, indicating that files are missing, will be printed. pyxcompact normally expects the raw output files of XCompact3D in the same folder as the input file; but then proceeds to load the time-averaged file into memory.
Dataset to On the impact of spanwise inhomogeneous boundary conditions on secondary flows in turbulent channels
This data set is locked. An updated version is available at: http://dx.doi.org/10.35097/d0prpzkxqkq2t09y
Data to the Measurement report: Brown carbon aerosol in rural Germany: sources, chemistry, and diurnal variations
Institut für Nanotechnologie (INT), Karlsruher Institut für Technologie (KIT), Karlsruhe Nano Micro Facility (KNMF), Karlsruher Institut für Technologie (KIT)
PDF file with additional information on the sample labeling of the raw data
Pushing the Efficiency of the Selective and Base-free Air-Oxidation of HMF by Varying the Properties of Carbon-based Supports - Raw data
Institute for Molecular Systems and Engineering (IMSE), Heidelberg University
Institute of Applied Physics and Institue of Nanotechnolgy, Karlsruhe Institute of Technology
Organic Chemistry Institute and Centre for Advanced Materials, Heidelberg University; Institue of Nanotechnolgy, Karlsruhe Institute of Technology
Physical Chemistry Institute, Heidelberg University
Organic Chemistry Institute and Centre for Advanced Materials, Heidelberg University
Institute of Applied Physics, Karlsruhe Institute of Technology
Institute for Functional Interfaces and Karlsruhe Nano Micro Facility, Karlsruhe Institute for Technology
Facile Approach for 4D Microprinting of Multi-Photoresponsive Actuators
Due to their nested structure, double emulsions have the potential to encapsulate value-adding substances until their application, making them of interest to various industries. However, the complex, nested structure negatively affects the stability of double emulsions. Still there is a lack of suitable measurement technology to fundamentally understand the cause of the instability mechanisms taking place. This study presents a novel measurement method to continuously track filling degree changes due to water diffusion in a water-in-oil-in-water (W1/O/W2) double emulsion droplet. The measurement method is based on the Raman effect and provides both photometric and spectrometric data. No sample preparation is required, and the measurement does not affect the double emulsion droplet.
There are six different files: - "Figure 1", "Figure 2" & "Figure 6" are specificly for the respective figure and contain all relevant data - "Photometric measurements - W1 - ammonium nitrate" & "Photometric measurements - W1 - ammonium nitrate + polyethylene glycol" contain all photometric data of every experiment - the zip-archive "Spectrometric data" contains all spectrometric data of every experiment
Research data to "Monitoring of osmotic swelling induced filling degree changes in WOW double emulsions using Raman technologies"
The analysis was performed with SPSS Statistics Version 26.0.0.0. Multifactorial analyses of variance (ANOVA) were performed to determine the influence of the factors on the withdrawal capacity. An ANOVA was carried out for each plane RT and TL to the wood fiber. A unified statistical model with the same thread parameters and their interactions was chosen for both planes. This model was developed based on the significant thread parameters and interactions of the individual models of the planes.
This manuscript contains study data and supplementary research data. This study aims to determine the influence of thread parameters of wood screws on withdrawal capacity. Threaded test objects were used for this purpose. This allowed the thread parameters to be varied selectively. Investigated parameters were: thread height a, lead P, lead angle φ, and thread angle α. For this, they were varied on two factor levels. This results in a total of 16 threaded test objects (GP_A to GP_P). The influences in spruce were investigated for a tangential screw-in direction. The threaded test objects can be examined in one screw-in direction at different planes RT and TL of the thread to the wood fiber. The pull-out tests were performed based on EN 1382 (2016).
Research Data on the Influence of Thread Parameters on the Withdrawal Capacity of Wood Screws
Tharp, G. D., Newhouse, R. K., Uffelman, L., Thorland, W. G., & Johnson, G. O. (1985). Comparison of Sprint and Run Times with Performance on the Wingate Anaerobic Test. Research Quarterly for Exercise and Sport, 56(1), 73–76. https://doi.org/10.1080/02701367.1985.10608434In recent years the classic Margaria step-test for anaerobic power has been largely replaced by bicycle ergometer tests, the most popular of these being the Wingate Anaerobic Test (WAnT). The purpose of this study was to examine the relationship between the WAnT and sprint-run times and to determine the influence of age and weight on the WAnT scores. The 56 male volunteers (age 10–15 years) recruited from a track club and junior high school represented a wide range of athletic abilities. Subjects were tested for anaerobic power (5 sec output) and capacity (30 sec output) using the Wingate test procedures. Wingate scores for anaerobic power and capacity were only moderately correlated with 50 yd dash times (r = −.53 and −.53) and with the 600 yd run (r = −.26 and −.29). Partial correlations between these variables were lower when age adjusted and higher when adjusted for body weight. Results of this study indicate that the Wingate anaerobic test is only a moderate predictor of dash or run times, but becomes a stronger predictor when WAnT scores are adjusted for body weight.
Comparison of Sprint and Run Times with Performance on the Wingate Anaerobic Test
Simulated concentration data for birch pollen, birch SPP and hydrometeors and atmospheric variable (Part 12)
Simulated concentration data for birch pollen, birch SPP and hydrometeors and atmospheric variable (Part 15)
Simulated concentration data for birch pollen, birch SPP and hydrometeors and atmospheric variable (Part 4)
# RandomShimDB: A subset of the NMR magnet shimming database ShimDB RandomShimDB is a subset of the NMR magnet shimming database [ShimDB](https://github.com/mobecks/ShimDB) and contains over 15000 instances. Data is aquired on a Spinsolve 80 Carbon spectrometer (Magritek GmbH, Aachen, Germany, www.magritek.com) on 5%vv H2O in D2O and a water solution with CuSO4 (5mmol/L). RandomShimDB is part of "Acquisitions with random shim values enhances AI-driven NMR shimming" by M. Becker et al. [1]. The acquisition procedure was as follows. The manufacturer's automated shimming technique, based on the downhill simplex method, was used to obtain a reference spectrum. Then, the shims X, Y, Z and Z2 were varied. The dataset parameters were obtained by relative offsets from the reference shim values in a range R with weighting W, following Gaussian noise sampling. For each combination, the raw FID, acquisition parameters, and the shim values were stored. | Topic | Parameter | Value | |------------------------|------------------|-----------------------| | Dataset parameters | Shims | X,Y,Z,Z2 | | | Weightings W | [1.2, 1.0, 2.0, 18.0] | | | Shim range R | +/- 50 | | | Sample I | H2O+CuSO4 | | | Sample II | 5vol% H2O in D2O | | | Nr. spectra | {5000,10000} | | Acquisition parameters | Nucleus | 1H | | | Bandwidth | 5 kHz | | | Points | 32768 | | | Repetition time | 2000 ms | | | Phase correction | phi_0 | **We strongly encourage researchers to extend ShimDB with their own subsets to stimulate developments. We offer to include raw data or links to your publications into ShimDB.** ## Files format Each folder in RandomShimDB contains the following files: - data.1d -> the raw FID. - shims.par -> Shim values, where only linear shims are non-zero. - acqu.par -> Acquisition parameters. - proc.par -> Processing parameters. The RandomShimDB root folder also contains the reference starting shims (ReferenceShims.par). ## Data loading We deliver a python script ```utils_IO.py``` alongside [ShimDB](https://github.com/mobecks/ShimDB) to easily load the database into numpy array structure using the [nmrglue packages](https://github.com/jjhelmus/nmrglue)[2]. The following python libraries and packages are required: os, numpy, glob, nmrglue (>= v0.9.dev0) # References [1] M. Becker, S. Lehmkuhl, S. Kesselheim, J. G. Korvink, and M. Jouda, “Acquisitions with random shim values enhance AI-driven NMR shimming,” J. Magn. Reson., p. 107323, 2022, doi: https://doi.org/10.1016/j.jmr.2022.107323. [2] J. J. Helmus and C. P. Jaroniec, “Nmrglue: An open source Python package for the analysis of multidimensional NMR data,” J. Biomol. NMR, vol. 55, no. 4, pp. 355–367, 2013, doi: https://doi.org/10.1007/s10858-013-9718-x.
RandomShimDB: A subset of the NMR magnet shimming database ShimDB
In der Dissertation "Timing Sensitive Dependency Analysis and its Application to Software Security" präsentiere ich neue Verfahren zur statischen Analyse von Ausführungszeit-sensitiver Informationsflusskontrolle in Softwaresystemen. Ich wende diese Verfahren an zur Analyse nebenläufiger Java-Programme, sowie zur Analyse von Ausführungszeit-Seitenkanälen in Implementierungen kryptographischer Primitive. In diesem VirtualBox Maschinen-Abbild stelle ich Implementierungen aller neuen Algorithmen dieser Dissertation bereit, zusammen mit randomisierten Test-Eigenschaften für alle formalen Observationen der Dissertation.
This is the artifact corresponding to the thesis "Timing Sensitive Dependency Analysis and its Application to Software Security" by Martin Hecker The Virtual Box virtual machine image ```dissertation-vm``` can be used by logging in via user: ```hecker``` password: ```hecker``` In the users home directory, you will find in * ```randomized-tests.git/``` — in the language Haskell — both implementations of the submission's algorithms, and randomized tests that verify the submission's Observations. * ```randomized-tests.git/src/test/Program/Properties/DissObservations.hs``` contains the randomized tests corresponding to the dissertations Observations. The results can be reproduces within the virtual machine image by help of the provided shell runners. From the users home directory, run * ```./randomized-tests``` to once run all randomized tests except those marked 'slow', which are randomized tests that may run several minutes some randomized inputs. * ```./randomized-tests-slow``` to once run all those randomized tests marked 'slow'. * ```./randomized-tests-forever``` or ```./randomized-tests-slow-forever``` to run the randomized tests forever, only terminating if there was found a counter-example to the submission's Observations.
In my thesis "Timing Sensitive Dependency Analysis and its Application to Software Security", I present new methods for the static analysis of timing sensitive information flow control in software systems. I apply these methods in the analysis of concurrent Java programs, as well as the analysis of timing side-channels in implementations of cryptographic primitives. In this VirtualBox machine image, I provide Implementations for all new Algorithms of my thesis, and randomized test properties for all formal Observations in the thesis.
Implementations of Algorithms from the Thesis "Timing Sensitive Dependency Analysis and its Application to Software Security"
Das Simulationsmodell kann dazu genutzt werden Erkenntnisse zum Zusammenhang zwischen Gestaltparametern und radialen Schwingungen zu untersuchen. Zur Erzeugung von anwendungsnahen Ergebnissen ist eine Parametrierung auf den gegebenen Anwendungsfall erforderlich.
Simulationsmodell eines in einem Polymergehäuse und Elastomerring gelagerten Antriebsstrangs mit Kegelradgetriebe
Contents of the Repository The repository includes the following types of data: 1. Raw Data Electron Microscopy Data: 4D-STEM datasets in native file formats (*.dm4, *.mrc, or equivalent). Magnetic and Structural Maps: Data matrices representing the measured magnetic and strain fields, stored as .h5 or .csv files. 2. Processed Data Pixel-to-pixel correlation data between physical quantities. Figures and images presented in the publication (e.g., strain maps, magnetic field maps, and combined overlays). 3. Supplementary Data Source data for supplementary figures and tables. MATLAB/Python scripts used to analyze the data. 4. Metadata Information on experimental conditions, microscope parameters, and software versions. Calibration files used for the analysis.
Small adjustments in atomic configurations can significantly impact magnetic properties of matters. Strain, for instance, can alter magnetic anisotropy and enable fine-tuning of magnetism. However, the effects of these changes on nanoscale magnetism remain largely unexplored. In particular, when strain fluctuates at the nanoscale, directly linking structural changes with magnetic behavior poses a substantial challenge. Here, we develop a approach, LA-Ltz-4D-STEM, to simultaneously map structural information and magnetic fields at the nanoscale. This approach opens avenues for in-depth studying the structure-property correlation of magnetic materials on the nanoscale. We applied LA-Ltz-4D-STEM to simultaneously image strain, atomic packing, and magnetic fields in a deformed amorphous ferromagnet with complex strain variations at the nanoscale. An anomalous magnetic configuration near shear bands, which reside in a magnetostatically high-energy state, was observed. By performing pixel-to-pixel correlation of the different physical quantities across a large field of view, a critical aspect for investigating industrial ferromagnetic materials, the magnetic moments were classified into two distinct groups: one influenced by magnetoelastic coupling and the other oriented by competition with magnetostatic energy.
data for Large-angle Lorentz 4-Dimensional Scanning Transmission Electron Microscopy for Simultaneous Local Magnetic, Strain and Structure Mapping
Pictures taken for photo analysis and raw data of micro tomography Affiliation of Maximilian Lausch: Institute for Fluid Mechanics and Aerodynamics (SLA), Technical University of Darmstadt (TUD), Flughafenstr. 19, 64347 Griesheim, Germany Affiliation of Paolo Dolcet: : Dipartimento di Scienze Chimiche, Università degli Studi di Padova, Via Francesco Marzolo 1, 35131 Padova, Italy
A laboratory scale fast feedback characterization loop for optimizing coated catalysts for emission control - Raw data
Simulated concentration data for birch pollen, birch SPP and hydrometeors and atmospheric variable (Part 14)
Simulated concentration data for birch pollen, birch SPP and hydrometeors and atmospheric variable (Part 10)
The holographic X-ray computed tomography experiments were performed on beamline ID16A at the European Synchrotron Radiation Facility (ESRF), Grenoble, France in the frame of experiment CH-5805. The experimental procedure and data analysis details are provided in the respective original publication. Segmentation and labeling were performed with the software Avizo. The data import is possible and was tested with Avizo and the open source software ImageJ. The data is named according to the publication "material" is the nanoporous solid, "pores" is the complete pore system and "pores.separate" is the separated pore system into individual pores
The data contains the segmented, labeled holographic X-ray computed tomography data of an activated Ni/Al$_{2}$O$_{3}$ reference catalyst for CO$_{2}$ methanation.
Holographic X-ray computed tomography datasets of an activated Ni/Al$_{2}$O$_{3}$ reference catalyst
TEM raw data for the publication "Continuous flow oxidation of HMF using supported AuPd-alloy" PDF file for information on sample labeling
Raw data: Continuous flow oxidation of HMF using supported AuPd-alloy
Institut für QuantenMaterialien und Technologien
Raw data of the calibration with enstatite and raw data of samples c1,c2 and c3. The data were measured at beamline P02.2 (PETRA III, DESY) using a Perkin Elmer XRD 1621 detector and a beam energy of 42.71 keV. At each pressure and temperature, wide scans with 0.5 s exposures and 0.5° intervals and -25° to +30° rotation were performed. Beamtime for these measurements was allocated for proposal I-20200263.
We will investigate the effect of high pressure on the crystal structure and charge density waves (CDWs) of superconducting BaNi2As2, a candidate system for charge-driven electronic nematicity. Chemical substitutions have shown the effective tuning of its electronic ground state by chemical pressure and have indicated the unconventional nature of the observed CDWs. The microscopic origin of the CDWs, their interplay and their association with the nematic instability remain to be clarified.
High pressure study of charge density wave ordering in BaNi₂As₂
The data set includes the following: (i) Lagrangian air parcel trajectories of WCB airstreams and respective properties from each PPE member (ID000-ID069), and (ii) values for the parameter perturbations.
This archive contains warm conveyor belt (WCB) trajectory data from a perturbed parameter ensemble (PPE) presented in the manuscript "Sensitivities of warm conveyor belt ascent, associated precipitation characteristics and large-scale flow pattern - insights from a perturbed parameter ensemble" published in the Quartely Journal of the Royal Meteorological Society. The study presents a 70-member perturbed parameter ensemble (PPE) built with the Icosahedral Nonhydrostatic (ICON) modelling framework and analyses sensitivities of WCB ascent and its characteristics to perturbations of cloud microphysical parameters and environmental conditions. WCB ascent behaviour and associated properties are quantified based on online trajectories which are included in this archive. Details about parameter perturbations and variables stored along WCB trajectories are provided in the original publication.
(i) WCB trajectories and respective properties Each file (PPE_WCB_trajs_ID*nc; in netcdf format) contains WCB trajectory data from one PPE member, representing the path in space (3D coordinates) and time (time step) of air parcels identified to belong to a WCB as well as characteristics in terms of variables at each time step; data are available 1-hourly and centered relative to the start of the WCB ascent phase at time = 0 h. WCB trajectory information is extended to time = -10 h to time = 58 h relative to the start of the ascent. The following variables are available (see Oertel et al., 2025 for more details): (1) Basic WCB characteristics (longitude, latitude, pressure, altitude, temperature, potential vorticity, specific humidity, simulation lead time) (2) Hydrometeor mass mixing ratios for cloud droplets, rain drops, ice, snow, and graupel (3) Along flow integrated diabatic heating rates (ADH, in K; ADH for first and second saturation adjustment, vapor deposition on snow, ice, and sum of all frozen hydrometeors, riming, CCN activation, evaporation of rain and of melting ice hydrometeors, melting of frozen hydrometeor, freezing of rain, homogeneous freezing of cloud droplets, homogeneous and heterogeneous ice nucleation, long- and shortwave radiation, convection and turbulence parameterisations) (4) Along flow integrated diabatic PV rates (APV, in PVU; APV for first and second saturation adjustment, vapor deposition on sum of all frozen hydrometeors, riming, evaporation of rain, melting of frozen hydrometeors, as well as total radiation, convection and turbulence parameterisations) (ii) Values for the parameter perturbations Both text files, EmulatorInputsDesign.csv and ValidationInputsDesign.csv, include the values for the parameter perturbations for each PPE member for the training (EmulatorInputsDesign.csv; PPE members ID000-ID049) and the validation (ValidationInputsDesign.csv; PPE members ID050-ID069) data sets, respectively. The training data set includes the first 50 members and the validation data set includes 20 additional members. The PPE includes five perturbed parameters, which are sea surface temperature (SST), cloud condensation nuclei (CCN), ice nucleating particles (INP), capacitance of ice and snow (CAP), and maximum supersaturation (SAT). Each column lists one perturbed parameter for the respective simulation: V1 (SST), V2 (CCN), V3 (INP), V4 (CAP), and V5 (SAT). The perturbed parameter values are explained in more detail in Oertel et al. (2025).
Atmospheric Science, ICON, WCB trajectories, sensitivity experiments, cloud microphysics, perturbed parameter ensemble (PPE)
Research data for "Sensitivities of warm conveyor belt ascent, associated precipitation characteristics and large-scale flow pattern - insights from a perturbed parameter ensemble"
Angewandte Werkstoffphysik, Graduiertenkolleg 2561: Materials Compounds from Composite Materials
Graduiertenkolleg 2561: Materials Compounds from Composite Materials
BCC Mo-Ti solid solutions were synthesised by arc-melting in the range of 0-80at% Ti. Mechanical properties were scale-bridging characterised using nanoindentation, Vickers hardness testing and compression testing to isolate solid solution strengthening. Additional structural (XRD) and compositional analyses (HCGE) were also performed to assess lattice parameter and synthesis-related uptake of O and N. In order to assess strength contributions by screw and edge dislocation motion, the model-compatible descriptions of edge dislocation-controlled solid solution strengthening (Maresca and Curtin, Acta Materialia 182 (2020) 235-249) and screw dislocation controlled strengthening (Ghafarollahi and Curtin, Acta Materialia 226 (2022), 117617) were implemented and the strength of the solid solutions was modelled.
Three ASCII-files are included: Mechanical properties (nanohardness, Vickers hardness, offset yield strength and Young's modulus) are found in mech_properties.txt. Lattice parameter data, O and N contents and Ti contents determined by EDX are found in other_properties.txt. All mechanical properties are given with their standard deviation. Strength modelled by the implementations of solid solution strengthening are found in Curtin_models.txt for both dislocation types.
Raw Data to "The influence of lattice misfit on screw and edge dislocation-controlled solid solution strengthening in Mo-Ti alloys"
Institut für Meteorologie und Klimaforschung Troposphärenforschung (IMKTRO), Karlsruher Institut für Technologie (KIT)
This archive contains the data corresponding to the manuscript “Changes of intense extratropical cyclone deepening mechanisms in a warmer climate in idealized simulations" by Ting-Chen Chen [1][*], Christoph Braun [1], Aiko Voigt [2], and Joaquim G. Pinto [1] [1] Institute of Meteorology and Climate Research Troposphere Research (IMKTRO), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany [2] Department of Meteorology and Geophysics, University of Vienna, Vienna, Austria [*] Current affiliation: Earth and Life Institute, UCLouvain, Louvain-la-Neuve, Belgium Please contact Ting-Chen Chen (ting-chen.chen@uclouvain.be) or Christoph Braun (christoph.braun@kit.edu) if you have questions regarding the content of this archive. The dataset contains post-processed model output of idealized baroclinic life cycle simulations performed with the atmospheric component of the Icosahedral Nonhydrostatic model (ICON-NWP; version 2.6.2.2). There are 12 experiments with 6 different initial climatic conditions: (1) present day (CTL); (2) uniform +4 K warming & moistening (4K); (3) uniform +4K warming but not moistening (4K_qvCTL); (4) non-uniform warming and moistening as anticipated by a CMIP6 model for the end of the 21st century under the high-emissions scenario SSP5-8.5 (Tanom); (5) tropical warming&moistening (Tanom_tropics); (6) polar warming&moistening (Tanom_polar), each performed with 2 different model grid spacing (80 km and 2.5 km). The data is organized into 3 subdirectories: (1) input_data (initial conditions set for the simulations); (2) remapped_simulation_output (post-processed model output data; re-gridded from the unstructured native model grid to the regular lat-lon grid; only for selected variables); (3) PTE_results (results created during the analysis of pressure tendency equation (PTE), such as cyclone tracks, maps for the distribution of each PTE components, and their time series averaged around the cyclone center). For the scripts that were used to produce the above data & to plot the figures shown in the paper, please see the link: https://gitlab.phaidra.org/chent73/chen-etal-2024-climxtreme-jcli
Changes of intense extratropical cyclone deepening mechanisms in a warmer climate in idealized simulations
This dataset contains all the measurements used for the analysis of the respective publication. More details on the measurement setup etc. can be found in there. The data contains of three subfolders, one including the AIDA data, one the INKA and one the mul-NIPI data. Each folder contains one txt file for each experiment of the measurement campaign (see Table 2 in the publication). The name of the txt file represents the sample and the aerosolisation technique used (in case of the AIDA and INKA data). Below we give a short explanation on the data in each folder: AIDA: Each data file consists of 6 columns: temperature T ([T]=K), the uncertainty of T deltaT, the surface active site density nS ([ns]=m-2), the uncertainty of ns deltanS, the ice nucleation active site density per mass of sea salt nm ([nm]=g-1), the uncertainty of nm deltanm. The AIDA ns data were corrected for the background ice nucleation mode observed in the reference experiments with purely inorganic Sigma-Aldrich sea salt solution droplets (see Sect. 2.4 in the manuscript). There was no signal above background for the following experiments (and therefore no data file exists): SM100a AEGOR, SM10 AEGOR, SML8 AEGOR. INKA: Each data file consists of 2 columns: temperature T ([T]=°C), the surface active site density ns ([ns]=m-2). There was no signal for the following experiments (and therefore no data file exists): Sigma sea salt nebuliser, SM100a AEGOR, SML8 AEGOR. NIPI: Data files consist at least of two columns (T and FF) and additional of the following (depending on the dataset): temperature T ([T]=°C), concentration of ice nucleation particles INP ([INP]=L-1), frozen fraction FF, the ice nucleation active site density per mass of sea salt nm ([nm]=g-1), the freezing point depression corrected temperature Corrected T ([Corrected T]=°C), the upper limit of the ice nucleation active site density per mass of sea salt nm ([nm]=g-1), the lower limit of the ice nucleation active site density per mass of sea salt nm ([nm]=g-1).
Dataset ice nucleating activity of Arctic sea surface microlayer samples and marine algal cultures
The repository contains the results of structural drill core investigations with particular consideration of stress-induced features. The cores have been assembled and labelled and reference lines have been introduced. All structural information refers to these lines. We have distinguished between induced and natural open and filled fractures and bedding.
Micro-scaffolds as synthetic cell niches recent advances and challenges
Data comprise the measurements from MAAP, AE33, COSMOS, and PAAS-4λ
Air quality monitoring data from Pallas, Finland for the period between December 21, 2021 and November 21, 2022, which was used for an intercomparison of aerosol light absorption instruments
The data set presented here consists of a case study in the framework of the DFG-project ICECREAM (Analysis of high-latitude cirrus cloud feedbacks on the trace gas composition of the UTLS), and comprises observations of the trace gases water vapour (H2O), ozone (O3), nitric acid (HNO3) and clouds in the upper troposphere/lowermost stratosphere (UT/LMS) by the infrared remote sensing instrument GLORIA (Gimballed Limb Observer for Radiance Imaging of the Atmosphere), and the corresponding model data of dedicated simulations with the numerical weather prediction (NWP)-model ICON (ICOsahedral Nonhydrostatic) with the extension ART (Aerosols and Reactive Trace gases), and the chemistry-climate model (CCM) EMAC (ECHAM5/MESSy Atmospheric Chemistry). The data cover one research flight during the Arctic winter 2015/2016, when GLORIA was deployed on-board the German Research aircraft HALO (High Altitude and LOng range research aircraft) during the POLSTRACC (POLar STRAtosphere in a Changing Climate), GW-LCYCLE (Gravity Wave Life Cycle Experiment) II and SALSA (Seasonality of Air mass transport and origin in the Lowermost Stratosphere using the HALO Aircraft) (PGS) field campaign. This joint campaign probed the Arctic UT/LMS during different stages of the winter 2015/2016. The analysed research flight here, PGS 14, on 26 February 2016, covered deeply subsided air masses of the aged Arctic vortex, high-latitude LMS air masses, a highly textured troposphere-to-stratosphere exchange region, and high-altitude cirrus clouds. Therefore, it provides the opportunity to test state-of-the-art atmospheric model simulations in a complex UT/LMS region at a late stage of the Arctic winter 2015/2016. Details on the data are provided in the file “ReadMe.pdf”.
Ministerium für Wissenschaft, Forschung und Kunst Baden-Württemberg
GLORIA, POLSTRACC, HALO, ICECREAM, remote sensing, upper troposphere, lowermost stratosphere, trace gases, cirrus clouds, atmospheric composition, ICON-ART, EMAC, high latitudes, water vapour, H2O, ozone, O3, nitric acid, HNO3
- ICON-ART raw data for experiments 'noARI' (Hunga_noARI.tar.gz), 'noAsh' (Hunga_noAsh.tar.gz), and 'novolc' (Hunga_novolc.tar.gz)
Research data for 'Aerosol dynamic processes in the Hunga plume in January 2022: Does water vapor accelerate aerosol aging?' (Part 3/3)
The research data referenced in Section 7.3.2 refers to file 'ResearchData_OptimizationModels' presenting the results of the overall optimization model and the iterative segmented optimization model within the corresponding sheets. The research data referenced in Section 8.2.2 refers to file 'ResearchData_BatchCharacteristics'. The results are structured according to the investigated parameters batch size, sequencing rate and arrival sequence, each within the corresponding sheet. The research data referenced in Section 8.3.1.2 refers to file 'ResearchData_Network' - sheet 'In-Outflow Capacity'. The research data referenced in Section 8.3.2.2 refers to file 'ResearchData_Network' - sheet 'Sequencing Capacity'.
Research data to "Multi-Batch Sequencing with Decentralized Control using Highest-Density Conveyor Networks"
Piezometer Measurements at the Enguri High Arch Dam, Georgia
Survey on storage and long-term archiving of research data at KIT
Umfrage zur Speicherung und Langzeitarchivierung von Forschungsdaten am KIT
Institut für Fördertechnik und Logistiksysteme (IFL), Karlsruher Institut für Technologie (KIT)
The repository contains two data sets: • Data set "Peak": Assumes that during an operating cycle, the expected customer demand increases monotonously, reaching its maximum value at the cutoff point (Numerical study in Sec. 5 of the paper). • Data set "Uniform": Assumes that during an operating cycle, the expected customer demand is constant at each discrete point in time (Numerical study in Appendix B of the paper).
This data repository contains the raw data used in the numerical experiments presented in the publication "Managing cutoff‑based shipment promises for order fulfilment processes in warehousing".
Data sets for the numerical analysis in the publication Managing Cutoff‑Based Shipment Promises for Order Fulfilment Processes in Warehousing
# Simulated 2D RASER MRI dataset for AI-driven artefact correction Data for AI-driven artefact correction in 2D RASER MRI images. Random images are generated with basic shapes and image transformations. 30 projections of each image are taken, and undergo a RASER (Radiowave amplification by the stimulated emission of radiation) [1] simulation in MATLAB. The data is divided into 3 subsets: - 10k_images.7z --> standard random images - 10k_images_WithPump.zip --> projections experience parahydrogen pumping - 1k_images_20TPI.zip --> high total population inversion (TPI) variations of +/- 20% ## File format Folder structure: ```{subset}/image{#}/{TPI value}/{filename.csv}``` Each folder contains the following files: - A(0).csv --> Signal amplitude - d(0).csv --> TPI evolution - meta.csv --> Meta information - output(Real and Imag).csv --> Simulated RASER signal - Phi(0).csv --> Signal phase ## Data loading Scripts for data loading are provided with the code at [github.com/mobecks/raser-mri-ai](https://github.com/mobecks/raser-mri-ai). ## References [1] Sören Lehmkuhl et al., RASER MRI: Magnetic resonance images formed spontaneously exploiting cooperative nonlinear interaction.Sci. Adv.8,eabp8483(2022). DOI:10.1126/sciadv.abp8483
Simulated 2D RASER MRI dataset for AI-driven artefact correction
Supplement for "Transformation of the filamentous Cyanobacterium Phormidium lacuna: Electroporation versus Natural Transformation": Plasmids, Transformation experiments, Bioinformatics
Electronic supplement: "Transformation of the filamentous Cyanobacterium Phormidium lacuna: Electroporation versus Natural Transformation"
These are the experimental data for the paper> Bach, Jakob. "Using Constraints to Discover Sparse and Alternative Subgroup Descriptions" published on [arXiv](https://arxiv.org/) in 2024. You can find the paper [here](https://doi.org/10.48550/arXiv.2406.01411) and the code [here](https://github.com/Jakob-Bach/Constrained-Subgroup-Discovery). See the `README` for details. The datasets used in our study (which we also provide here) originate from [PMLB](https://epistasislab.github.io/pmlb/). The corresponding [GitHub repository](https://github.com/EpistasisLab/pmlb) is MIT-licensed ((c) 2016 Epistasis Lab at UPenn). Please see the file `LICENSE` in the folder `datasets/` for the license text.
# Experimental Data for the Paper "Using Constraints to Discover Sparse and Alternative Subgroup Descriptions" These are the experimental data for the paper> Bach, Jakob. "Using Constraints to Discover Sparse and Alternative Subgroup Descriptions" published at [arXiv](https://arxiv.org/) in 2024. If we create further versions of this paper in the future, these experimental data may cover them as well. Check our [GitHub repository](https://github.com/Jakob-Bach/Constrained-Subgroup-Discovery) for the code and instructions to reproduce the experiments. We obtained the experimental results on a server with an `AMD EPYC 7551` CPU (32 physical cores, base clock of 2.0 GHz) and 160 GB RAM. The operating system was `Ubuntu 20.04.6 LTS`. The Python version was `3.8`. With this configuration, running the experimental pipeline (`run_experiments.py`) took about 34 hours. The commit hash for the last run of the experimental pipeline (`run_experiments.py`) is [0a57bcd529](https://github.com/Jakob-Bach/Constrained-Subgroup-Discovery/tree/0a57bcd52938dce6285e8113d777360c2b17f30f). The commit hash for the last run of the evaluation pipeline (`run_evaluation_arxiv.py`) is [48f2465b4c](https://github.com/Jakob-Bach/Constrained-Subgroup-Discovery/tree/48f2465b4cabf2d6657e4ff4b73c28c240d0b883). We also tagged both commits (`run-2024-05-13` and `evaluation-2024-05-15`). The experimental data are stored in two folders, `datasets/` and `results/`. Further, the console output of `run_evaluation_arxiv.py` is stored in `Evaluation_console_output.txt` (manually copied from the console to a file). In the following, we describe the structure and content of each data file. ## `datasets/` These are the input data for the experimental pipeline `run_experiments.py`, i.e., the prediction datasets. The folder contains one overview file, one license file, and two files for each of the 27 datasets. The original datasets were downloaded from [PMLB](https://epistasislab.github.io/pmlb/) with the script `prepare_datasets.py`. Note that we do not own the copyright for these datasets. However, the [GitHub repository of PMLB](https://github.com/EpistasisLab/pmlb), which stores the original datasets, is MIT-licensed ((c) 2016 Epistasis Lab at UPenn). Thus, we include the file `LICENSE` from that repository. After downloading from `PMLB`, we split each dataset into the feature part (`_X.csv`) and the target part (`_y.csv`), which we save separately. Both file types are CSVs that only contain numeric values (categorical features are ordinally encoded in `PMLB`) except for the column names. There are no missing values. Each row corresponds to a data object (= instance, sample), and each column either corresponds to a feature (in `_X`) or the target (in `_y`). The first line in each `_X` file contains the names of the features as strings; for `_y` files, there is only one column, always named `target`. For the prediction target, we ensured that the minority (i.e., less frequent) class is the positive class (i.e., has the class label `1`), so the labeling may differ from PMLB. `_dataset_overview.csv` contains meta-data for the datasets, like the number of instances and features. ## `results/` These are the output data of the experimental pipeline in the form of CSVs, produced by the script `run_experiments.py`. `_results.csv` contains all results merged into one file and acts as input for the script `run_evaluation_arxiv.py`. The remaining files are subsets of the results, as the experimental pipeline parallelizes over 27 datasets, 5 cross-validation folds, and 6 subgroup-discovery methods. Thus, there are `27 * 5 * 6 = 810` files containing subsets of the results. Each row in a result file corresponds to one subgroup. One can identify individual subgroup-discovery runs with a combination of multiple columns, i.e.: - dataset `dataset_name` - cross-validation fold `split_idx` - subgroup-discovery method `sd_name` - feature-cardinality threshold `param.k` (missing value if no feature-cardinality constraint) - solver timeout `param.timeout` (missing value if not solver-based search) - number of alternatives `param.a` (missing value if only original subgroup searched) - dissimilarity threshold `param.tau_abs` (missing value if only original subgroup searched) For each value combination of these seven columns, there is either one subgroup (search for original subgroups) or six subgroups (search for alternative subgroup descriptions, in which case the column `alt.number` identifies individual subgroups within a search run). Further, note that the last four mentioned columns contain missing values, which should be treated as a category on their own. In particular, if you use `groupby()` from `pandas` for analyzing the results and you want to include any of the last four mentioned columns in the grouping, you should either fill in the missing values with an (arbitrary) placeholder value or use `dropna=False`, because the grouping (by default) ignores the rows with missing values in the group columns otherwise. The remaining columns represent results and evaluation metrics. In detail, all result files contain the following columns: - `objective_value` (float in `[-0.25, 1]` + missing values): Objective value of the subgroup-discovery method on the training set. WRAcc when searching original subgroups and normalized Hamming similarity when searching alternative subgroup descriptions. Missing value for *MORS* as the subgroup-discovery method, since *MORS* does not explicitly compute an objective when searching for subgroups. - `optimization_status` (string, 2 different values + missing values): For *SMT*, `sat` if optimal solution found and `unknown` if timeout. Missing value for all other subgroup-discovery methods (which do not use solver timeouts). - `optimization_time` (non-negative float): The runtime of optimization in the subgroup-discovery method, i.e., without pre- and post-processing steps. - `fitting_time` (non-negative float): The complete runtime of the subgroup-discovery method (as reported in the paper), i.e., including pre- and post-processing steps. Very similar to `optimization_time` except for *SMT* as the subgroup-discovery method, which may spend a considerable amount of time formulating the optimization problem. - `train_wracc` (float in `[-0.25, 0.25]`): The weighted relative accuracy (WRAcc) of the subgroup description on the training set. - `test_wracc` (float in `[-0.25, 0.25]`): The weighted relative accuracy (WRAcc) of the subgroup description on the test set. - `train_nwracc` (float in `[-1, 1]`): The normalized weighted relative accuracy (WRAcc divided by its dataset-dependent maximum) of the subgroup description on the training set. - `test_nwracc` (float in `[-1, 1]`): The normalized weighted relative accuracy (WRAcc divided by its dataset-dependent maximum) of the subgroup description on the test set. - `box_lbs` (list of floats, e.g., `[-inf, 0, -inf, -2, 8]`): The lower bounds for each feature in the subgroup description. Negative infinity if a feature's lower bound did not exclude any data objects from the subgroup. - `box_ubs` (list of floats, e.g., `[inf, 10, inf, 5, 9]`): The upper bounds for each feature in the subgroup description. Positive infinity if a feature's upper bound did not exclude any data objects from the subgroup. - `selected_feature_idxs` (list of non-negative ints, e.g., `[0, 4, 5]`): The indices (starting from 0) of the features selected (= restricted) in the subgroup description. Is an empty list, i.e., `[]`, if no feature was restricted (thus, the subgroup contains all data objects). - `dataset_name` (string, 27 different values): The name of the `PMLB` dataset used for subgroup discovery. - `split_idx` (int in `[0, 4]`): The index of the cross-validation fold of the dataset used for subgroup discovery. - `sd_name` (string, 6 different values): The name of the subgroup-discovery method (`Beam`, `BI`, `MORS`, `PRIM`, `Random`, or `SMT`). - `param.k` (int in `[1, 5]` + missing values): The feature-cardinality threshold for subgroup descriptions. Missing value if unconstrained subgroup discovery. Always `3` if alternative subgroup descriptions searched. - `param.timeout` (int in `[1, 2048]` + missing values): For *SMT*, solver timeout (in seconds) for optimization (not including formulation of the optimization problem). Missing value for all other subgroup-discovery methods. - `alt.hamming` (float in `[0, 1]` + missing values): Normalized Hamming similarity between the current subgroup (original or alternative) and the original subgroup if alternative subgroup descriptions searched. Missing value if only original subgroup searched. - `alt.jaccard` (float in `[0, 1]` + missing values): Jaccard similarity between the current subgroup (original or alternative) and the original subgroup if alternative subgroup descriptions searched. Missing value if only original subgroup searched. - `alt.number` (int in `[0, 5]` + missing values): The number of the current alternative if alternative subgroup descriptions searched. Missing value if only original subgroup searched. Thus, original subgroups either have `0` or a missing value in this column (i.e., for experimental settings where alternative subgroup descriptions searched, there is no separate search for an original subgroup, only a joint sequential search for original and alternatives). - `param.a` (int with value `5` + missing values): The number of desired alternative subgroup descriptions, not counting the original (zeroth) subgroup description. Missing value if only original subgroup searched. - `param.tau_abs` (int in `[1, 3]` + missing values) The dissimilarity threshold for alternatives, corresponding to the absolute number of features that have to be deselected from the original subgroup description and each prior alternative. Missing value if only original subgroup searched. You can easily read in any of the result files with `pandas`: ```python import pandas as pd results = pd.read_csv('results/_results.csv') ``` All result files are comma-separated and contain plain numbers and unquoted strings, apart from the columns `box_lbs`, `box_ubs`, and `selected_feature_idxs` (which represents lists and whose values are quoted except for empty lists). The first line in each result file contains the column names. You can use the following code to make sure that the lists of feature indices are treated as such (rather than strings): ```python import ast results['selected_feature_idxs'] = results['selected_feature_idxs'].apply(ast.literal_eval) ``` Note that this conversion does not work for `box_lbs` and `box_ubs`, where the lists not only contain ordinary numbers but also `-inf`, and `inf`; see [this *Stack Overflow* post](https://stackoverflow.com/questions/64773836/error-converting-string-list-to-list-when-it-contains-inf) for potential alternatives.
Experimental Data for the Paper "Using Constraints to Discover Sparse and Alternative Subgroup Descriptions"
Institut für Geographie und Geoökologie (IFGG), Karlsruher Institut für Technologie (KIT), Natürliche und gebaute Umwelt (BL4), Karlsruher Institut für Technologie (KIT)
Institut für Regionalwissenschaft (IFR), Karlsruher Institut für Technologie (KIT)
Städte und Gemeinden stehen vor der herausfordernden Aufgabe ihre Kommune an die zu erwartenden Folgen des Klimawandels anzupassen. Deutlich höhere Sommertemperaturen und Hitzeextremereignisse, ein klimatischer Wechsel von dem früher sehr häufigen und regelmäßigen Landregen im Sommer hin zu wochenlangen Dürrephasen und vermehrt Starkregenextremereignisse, deren Wassermassen die vorhandene Infrastruktur nicht abfangen kann - sind sehr wahrscheinliche Folgen, denen die heutige Planung gerecht werden muss. Die Kommunen stehen daher vor der herausfordernden Aufgabe, die Belange der Klimaanpassung bestmöglich in ihre Planungen zu integrieren. Zur Unterstützung wurde bereits eine große Vielzahl an Leitfäden unterschiedlicher Schwerpunktsetzungen zur kommunalen Klimaanpassung entwickelt und veröffentlicht. Der Nachteil dieser Vielfalt jedoch ist der hohe Zeitaufwand der Fachangestellten und Planenden, sich in die Thematik fundiert einzuarbeiten. Die hier vorliegenden Tabellen sind ein Versuch, außerhalb von projektspezifischen Rahmenbedingungen die vorhandene Vielfalt an konkreten Maßnahmen zur kommunalen Klimaanpassung und das vorhandene Wissen zu den Einzelmaßnahmen zusammenzutragen. Die Maßnahmen im besiedelten Raum sind zunächst nach ihrer Anpassungsthematik gegliedert, wobei einzelne Maßnahmen auch verschiedenen Anpassungsthemen dienen können. Die Maßnahmen sind zur besseren Übersicht in Kategorien gruppiert, die der gleichen Art angehören oder den gleichen Zweck verfolgen. Zu jeder Maßnahme sind diverse Zusatzinformationen gegeben, die für den Planenden von Relevanz sein können. Jede Maßnahme wird als erstes über eine Kurzbeschreibung definiert bzw. beschrieben. Es folgen Wirkungsbeschreibungen, die den Planenden bei der Argumentation der Maßnahme (bspw. im Begründungsteil des Bebauungsplans) behilflich sein können. Wenn vorhanden, sind konkrete Zahlen oder Berechnungsansätze zur Wirkungsabschätzung gegeben. Es folgen Informationen u.a. zum Planbezug, die Einschätzung der Eignung der Maßnahmen in bestimmten Stadtstrukturtypen, Einschätzungen zu Kosten und Flächenbedarf, der Verwendung im Bestand versus Neubau, sowie Hinweise zu weiterführender Literatur. Alle Maßnahmen sowie Zusatzinformationen sind bereits veröffentlichten Leitfäden und Berichten entnommen, es handelt sich hier also um ein Reviewbeitrag ohne spezifischen Projektbezug. Die Kategorisierung der Maßnahmen, sowie die Einschätzung ihrer Eignung für den Bestand versus Neubau erfolgte durch die Autorinnen. Ihre Eignung für ein Monitoring mittels Fernerkundung erfolgte durch das IPF des KIT. Dies ist die erste Auflage dieser Maßnahmensammlung. Einige Felder haben noch keine Informationen, oder können ggf. durch die Praxis anders eingeschätzt werden. Sobald genügend neue Informationen vorliegen bzw. der jetzige Stand umfassend überarbeitet wurde, wird die Tabelle als neue Auflage erneut veröffentlicht werden. Falls Sie hierzu Anmerkungen haben, eine überarbeitbare Fassung der Tabellen wünschen oder weitere Informationen integrieren möchten, wenden Sie sich bitte an: denise.boehnke@kit.edu
Cities and municipalities are faced with the challenging task of adapting their communities to the expected consequences of climate change. Significantly higher summer temperatures, a climatic change from the previously very frequent and regular land rainfall in summer to weeks of drought, and an increase in individual heavy rainfall events whose water masses cannot be compensated by the existing structure - these are very likely consequences that today's planning must address. Local authorities are therefore faced with the challenging task of integrating climate adaptation concerns into their planning in the best possible way. A large number of German guidelines on municipal climate adaptation are available for this purpose. The disadvantage of this diversity, however, is the amount of time required to gain an overview of the various topics. Without relating to specific projects, the tables presented here are an attempt to summarise the existing variety of specific measures for municipal climate adaptation and the available knowledge on the individual measures. (publication in german language)
Falls Sie hierzu Anmerkungen haben, eine überarbeitbare Fassung der Tabellen wünschen oder weitere Informationen integrieren möchten, wenden Sie sich bitte an: denise.boehnke@kit.edu
Maßnahmensammlung zur kommunalen Klimaanpassung
Each folder contains a stack of images showing the elemental distribution for all the elements used in sample characterization. Another file, "mux.tiff," is also included for absorbance and thickness studies.
proton exchange membrane water electrolysis
Elemental Distribution in Catalyst-Coated Membranes of PEM Water Electrolysers Tracked by Synchrotron X-ray Fluorescence - Fe2+ contaminated CCM
Institut für QuantenMaterialien und Technologien (IQMT), Karlsruher Institut für Technologie (KIT)
Karlsruhe Nano Micro Facility (KNMF), Karlsruher Institut für Technologie (KIT), Institut für QuantenMaterialien und Technologien (IQMT), Karlsruher Institut für Technologie (KIT)
The data (extracted from a LabVIEW program) are provided as an originPro file. Each figure of the main text corresponds to a different folder.
Elastoresistivity in the incommensurate charge density wave phase of BaNi₂(As₁₋ₓPₓ)₂
Physikalisches Institut (PHI), Karlsruher Institut für Technologie (KIT)
Data of the magnetization, anomalous Hall effect, and anomalous Nernst effect measured on a Mn5Si3 single crystal.
Anomalous Nernst effect in the noncollinear antiferromagnet Mn5Si3
Institut für Industriebetriebslehre und Industrielle Produktion (IIP), Karlsruher Institut für Technologie (KIT)
This is the dataset for a paper that analyses the use of imitation learning for controlling heat pumps. The dataset includes the input time series data used in the simulations. Further, we added the experiments' outcomes and resulting load profiles to the dataset. There is a txt file in each main folder with the name "Information" that describes the data in more detail.
Input and result data for the paper "Imitation learning with artificial neural networks for demand response with a heuristic control approach for heat pumps"
The data comprise the composition-dependent ice-active fractions (f_ice) in the ammonium sulfate-letovicite-ammonium bisulfate (AS-LET-AHS) system, measured with the AIDA cloud chamber and the two continuous flow diffusion chambers (CDFCs) INKA and mINKA. The provided zip-file contains the two directories "Fig6" and "Fig7" and the additional text file “info.txt”, which explains the contents of the directories and the syntax of the file names. All data tables can be opened in standard text editors or imported in spreadsheet programs like Microsoft Excel. The data are separated by tabs as a delimiter.
Data sets for the research article "Influence of the neutralization degree on the ice nucleation ability of ammoniated sulfate particles" by Bertozzi et al. (2024) in the Journal of Geophysical Research (Atmospheres)
Institut für Nanotechnologie, Technische Universität Darmstadt
Institut für Nanotechnologie, Karlsruhe Nano Micro Facility
The data can be opened and processed through Velox and DigitalMicrograph.
The Impact of Microstructure on the Filament Growth at the Sodium Metal Anode in All Solid-State Sodium Batteries
The gearbox housing is one of the main components of an electric vehicle which has an influence on the NVH behaviour of the gearbox and overall vehicle, especially in the context of e-mobility. Vibrations inside the gearbox are mainly excited at the gear mesh and then transmitted to the housing through shafts and bearings, where it is radiated as air-borne noise. Because of the importance of reducing the weight of electric vehicles, housing structures are often target of lightweight design measures, which, in turn, often lead to worsened NVH behaviour. In this paper, the effects of different lightweight design measures on the vibrational behaviour of a gearbox housing are evaluated by numerical simulations. Firstly, the basic model (without lightweight design) has been simulated numerically in a commercial finite element software to extract the natural frequencies, mode shapes and frequency response functions for specific points of interest. These results have been verified by the measurement using 3D laser scanning vibrometer. Then, multiple variants of the electric vehicle gearbox housing are created in CAD and numerically simulated with different lightweight design. The results of the modal analysis provide valuable insights on the vibrational behaviour due to lightweight design measures.
daga_230216_original_acc: for the original version 230220_daga_7_1 : for version 'a' in the paper daga_2023_rib_1_8_e7700_damp003: for the version 'b' in the paper 230220_daga_9_1: for the version 'c' in the paper daga_230215_thickness: for the version case 2 in the paper 230215_withoutribs: for the version case 1 in the paper
Numerical study of noise and vibration behaviour of lightweight gearbox housing
Processed micro-tomographic scan of the ant Strumigenys aff trudifera, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Dorylus helvolus pretoriae, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tetraponera mocquerysi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cataglyphis bombycina, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Lasius umbratus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
1. Regression coefficients of a parametrisation of the natural atmospheric variability as function of distance and time separation for the atmospheric trace gases: BrO, BrONO2, CH3CL, HNO3, N2O5, CCl4, CFC11, CFC113, CFC12, CH4, ClO, ClONO2, CO, CO2, H2O, HBr, HCl, HF, HNO4, HO2, HOBr, HOCl, N2O, NO, NO2, NO3, O3, OH, and temperature, calculated on BASCOE model data for ESA VACUUM'R Project. 2. Software for reparametrisation of natural atmospheric variability on latitudinal gradients. The software takes as input the species name (among 30 available), the distance and time mismatch chosen, the latitude band, the value of latitudinal gradients of user's data and the height. As an output the user obtains a value of the natural variability of the gas at altitude and latitude band given, for the chosen distance/time mismatch.
Regression coefficients archive: The name of the file indicates if the coefficients stored are for natural variability as function of time or distance. The variability is expressed in percents. The coefficients are given from 90S to 90N in 18 latitude bands of 10 degree width, and for 46 altitudes from 15 to 60 km. Reparametrisation software archive: This is an IDL source code, and auxiliary data are in idlsave format. If a validation study is perfomed in latitude domain larger than 10 degrees, the values in correspoding 10-degree bands should be added quadratically.
Regression Coefficients of parametrisation of function of natural atmospheric variability and reparametrization on latitudinal gradients software
There are 15 matlab data files in this folder. Matlab files titled "2D_vars_<simulation_name>_CCN" are 2D variables on an unprocessed grid Matlab files tiled "3D_CRH_vars_<simulation_name>_CCN.mat" are 3D variables averaged on CRH blocks via the second block averaging method (see Sec 3 of paper for description) Matlab files tiled "3D_CRH_vars_<simulation_name>_CCN_default_block_averaging.mat" are 3D variables averaged on CRH blocks via the traditional (Bretherton et al.,2005) block averaging method
Processed micro-tomographic scan of the ant Temnothorax ravouxi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Nylanderia sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Monomorium chinense, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Myrmicaria sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Labidus mars, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Instructions: The scripts inside the subfolders are intended to reproduce the figures from the preprint> Rank-adaptive dynamical low-rank integrators for first-order and second-order matrix differential equations by Marlis Hochbruck, Markus Neher, and Stefan Schrammer Requirements The codes are tested with Ubuntu 20.04.2 LTS and Python 3.8.5 and the following version of its modules: numpy 1.19.2 scipy 1.5.2 numba 0.51.2 colorama 0.4.4 h5py 2.10.0 matplotlib 3.3.2 tikzplotlib 0.9.6 Generation of figures (tikz files containing the data are also created) In the folder fracginz open a console and run the commands 1. to create the data for Figures (1) and (2) python3 fgl.py 2. to create Figures (1) and (2) python3 fgl_results.py In the folder fracschr open a console and run the commands 3. to create the data for Figure (3) python3 fsr.py 4. to create Figure (3) python3 fsr_results.py In the folder laserplasma open a console and run the commands 5. to create the data for Figures (4) and (5) python3 lpi.py 6. to create Figures (4) and (5) python3 lpi_globalerr.py python3 lpi_svals_maxint.py In the folder sineg open a console and run the commands 7. to create the data for Figures (6) and (7) python3 sineg.py 8. to create Figures (6) and (7) python3 sineg_globalerr_ranks.py If the reference solutions shall be recomputed, uncomment the line methods.append(...) at the beginning of the scripts fgl.py, fsr.py, lpi.py, and sineg.py, respectively.
Numerical experiments to "Rank-adaptive dynamical low-rank integrators for first-order and second-order matrix differential equations"
Processed micro-tomographic scan of the ant Acromyrmex cf coronatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Carebara zengchengensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Stigmatomma silvestrii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Euponera pilosior, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Myrmicinae sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The Reynolds number dependent flow resistance of heterogeneous rough surfaces is largely unknown at present. The present work provides novel reference data for spanwise-alternating sandpaper strips as one idealized case of a heterogeneous rough surface. Experimental data are presented and analysed in direct comparison with drag measurements of homogeneous sandpaper surfaces and numerical simulations. Based on the homogeneous roughness data the related challenges and sensitivities for the evaluation of roughness functions from experiments and simulations are discussed. A hydraulic channel height is suggested as an alternative measure for the drag impact of rough surfaces in internal flows. For the investigated heterogeneous roughness it is found that turbulent flow does not exhibit a fully-rough flow behaviour, indicating that the assignment of an equivalent sand grain height as commonly applied for homogeneous roughness is not possible. A prediction of the drag behaviour of rough strips based on an average between rough and smooth drag curves appears promising, but requires further refinement in order to capture the impact of turbulent secondary flows and spatial transients linking smooth and rough surface parts. While turbulent secondary flow induced by the roughness strips yield significant spanwise variation of the mean velocity profile for the investigated rough strips we show that the spanwise averaged velocity profiles collapse reasonably well with a smooth or homogeneous rough wall flow. This allows to extract a global roughness function from the spanwise averaged flow field in good agreement with the one deduced from global pressure drop measurements.
Database: Flow resistance over heterogeneous roughness made of spanwise-alternating sandpaper strips This database provides the data presented in the manuscript "Flow resistance over heterogeneous roughness made of spanwise-alternating sandpaper strips". The database encompasses both experimental and numerical data pertaining to homogeneous and heterogeneous irregular roughness. To better understand the naming convention used in this database, we kindly direct readers to the associated publication for further details.
Flow resistance over heterogeneous roughness made of spanwise-alternating sandpaper strips
Processed micro-tomographic scan of the ant Tetramorium aculeatum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Strumigenys minutula, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Nomamyrmex hartigii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Platythyrea punctata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains FAIR records which describe the tribological experiment Copper under Variable Normal Load #0042, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Variable Normal Load n0042 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Jorge Sanchez, Antoine Amsaleg, Axel Loewe
In silico experiments to study the sinoatrial node characteristics. The experiment script is able to modify several electrophysiological parameters using as an input a vtk file.
In Silico Characterization of the Sinoatrial Node (v2.0)
Processed micro-tomographic scan of the ant Apterostigma megacephala, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Mycocepurus goeldii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pseudomyrmex sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Strumigenys sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Paraparatrechina sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Brachymyrmex patagonis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant OUTGROUP_Ichneumonidae sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Angewandte Materialien – Elektrochemische Technologien (IAM-ET1), Karlsruher Institut für Technologie (KIT)
Optimized geometries of molecules and complexes, example of ORCA-input file, detailed experimental data and description of experimental setup.
Computational Ferrocene Electrode Cyclic Voltammetry DFT Marcus-Hush Theory N-formylpyrrolidine Shono Oxidation
The electrochemical Shono oxidation of N-formylpyrrolidin: Mechanistic insights from the computational ferrocene electrode model and cyclic voltammetry: SI
Processed micro-tomographic scan of the ant Solenopsis afrc-zm02, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Aphaenogaster concolor, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Technomyrmex sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Bothriomyrmex meridionalis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Nesomyrmex tamatavensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Bundesministerium für Digitales und Verkehr
Die dieser Veröffentlichung zugrunde liegenden Arbeiten wurden im Auftrag des Bundesministers für Digitales und Verkehr unter FE-Nr. VB600002 durchgeführt. Die Verantwortung für den Inhalt liegt ausschließlich beim Autor.
Deutsches Mobilitätspanel (MOP) - Statistiken zur Alltagsmobilität sowie zu Fahrleistung und Kraftstoffverbrauch 2013 - 2022
1 Inverse vulcanization of styrylsilanes.zip
Processed micro-tomographic scan of the ant Tetraponera allaborans, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Prionopelta sp n, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Neoponera crenata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Plagiolepis pygmea, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pachycondyla striata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pheidole nubila, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Ponera takaminei, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Mystrium oberthueri, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Oxyopomyrmex saulcyi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pheidole pallidula, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Monomorium intrudens, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Paratrechina longicornis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tranopelta sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This data set contains all benchmark sets used in the dissertation of Sebastian Schlag. The zip archive contains a dedicated README file for each benchmark set.
This data set contains all benchmark sets used in the dissertation of Sebastian Schlag.
Benchmark Sets used in the Dissertation of Sebastian Schlag
Processed micro-tomographic scan of the ant Cardiocondyla venustula (badonei form), scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Technomyrmex arnoldinus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Camponotus mystaceus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Strumigenys alberti, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Formica japonica, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Department of Physical and Theoretical Chemistry, Faculty of Natural Sciences, Comenius University Bratislava
Institute of Catalysis Research and Technology, Karlsruhe Institute of Technology
Processed micro-tomographic scan of the ant Melissotarsus emeryi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Hypoponera opacior, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains FAIR records which describe the tribological experiment Copper under Variable Normal Load #0005, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Variable Normal Load n0005 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Data are stored with Matlab codes producing the figures in the manuscript. In other cases, data are stored in the format of the origin lab software. Labels and comments are given in the header of the origin worksheets.
Electron-phonon coupling, i.e., the scattering of lattice vibrations by electrons and vice versa, is ubiquitous in solids and can lead to emergent ground states such as superconductivity and charge-density wave order. A broad spectral phonon line shape is often interpreted as a marker of strong electron-phonon coupling associated with Fermi surface nesting, i.e., parallel sections of the Fermi surface connected by the phonon momentum. Alternatively broad phonons are known to arise from strong atomic lattice anharmonicity. Here, we show that strong phonon broadening can occur in the absence of both Fermi surface nesting and lattice anharmonicity, if electron-phonon coupling is strongly enhanced for specific values of electron-momentum, k. We use inelastic neutron scattering, soft x-ray angle-resolved photoemission spectroscopy measurements and ab-initio lattice dynamical and electronic band structure calculations to demonstrate this scenario in the highly anisotropic tetragonal electron-phonon superconductor YNi$_2$B$_2$C. This new scenario likely applies to a wide range of compounds.
Electron-momentum dependence of electron-phonon coupling underlies dramatic phonon renormalization in YNi2B2C
Raw data behind the publication with the title "Tribologically induced crystal rotation kinematics revealed by electron backscatter diffraction". Contains EBSD data, friction data, secondary electron microscopy images as well as optical topography data.
Raw data to the paper "Tribologically induced crystal rotation kinematics revealed by electron backscatter diffraction"
Processed micro-tomographic scan of the ant Crematogaster evallans, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Rogeria cf belti, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Axinidris acholli, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Aphaenogaster sardoa, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Der Algorithmus ist mit MATLAB (Version 2019A) programmiert. Es liegt eine Dokumentation des Algorithmus, eine Anleitung zur Benutzung sowie Beispieldaten bei. The algorithm is programmed with MATLAB (version 2019A). A documentation of the algorithm, a manual on how to use it, and sample data are included.
Für die Gestaltung von Holzschrauben ist der Zusammenhang zwischen der Gestalt des Gewindes und der Funktion Tragfähigkeit besonders wichtig. Dies erfordert eine objektive Analyse des Versagens. Mit diesem Algorithmus wird eine objektive Analyse der Rissbildung von Holz in Holzschraubenverbindungen unter Verwendung von Bildverarbeitung möglich. Bewertungsgrößen sind hierbei die Risslänge und Rissbreite.
For the design of wood screws, the relationship between the thread parameters and the function withdrawal capacity is important. For this purpose, the objective analysis of the failure behavior is necessary. With this algorithm an objective analysis of the cracks of wood in wood screw connections using image processing becomes possible. Evaluation parameters are the crack length and crack width.
Algorithmus zur objektiven Analyse des Einflusses von Gewindeparametern von Holzschrauben auf die Rissbildung - Algorithm for an objective analysis of the influence of thread parameters of wood screws on crack formation
Processed micro-tomographic scan of the ant Hylomyrma cf blandiens, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Eurhopalothrix sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Leptothorax acervorum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Entrepreneurship, Technologiemanagement und Innovation (ENTECHNON), Karlsruher Institut für Technologie (KIT)
These teaching materials, which can be used and adapted for an approx. 1,5h workshop, were created as part of the project “StartUPsGEno: Development of a teaching and consulting module for startups to evaluate the legal form of a cooperative,” funded by the GENO Foundation WissenSchafftPartner of the Baden-Württemberg Cooperative Association. The aim of the project was to develop, implement, and evaluate a specialized consulting module that supports startups and students in assessing and learning about the suitability of the legal form of a cooperative for their business model. The project aimed to offer effective consulting and decision-making support and to test modules in teaching in order to make it easier for founders and those interested in founding a company to choose the appropriate legal form.
Diese Lehrunterlagen, die für einen ca. 1,5h Workshop verwendet und angepasst werden können, wurden erstellt im Rahmen des Projekts „StartUPsGEno: Entwicklung eines Lehr- und Beratungsmoduls für Startups zur Evaluierung der Rechtsform Genossenschaft“, gefördert durch die GENO-Stiftung WissenSchafftPartner des Baden-Württembergischen Genossenschaftsverbands. Ziel des Projektes war die Entwicklung, Implementierung und Evaluierung eines spezialisierten Beratungsmoduls, das Startups und Studierende dabei unterstützt, die Eignung der Rechtsform der Genossenschaft für ihr Geschäftsmodell zu bewerten bzw. kennenzulernen. Das Projekt zielte darauf ab, effektive Beratung und Entscheidungshilfen anzubieten und Module in der Lehre zu testen, um Gründern und Gründungsinteressierten die Wahl der geeigneten Rechtsform zu erleichtern.
Sie können diese Präsentation gerne kopieren, verwenden und nach Ihren Bedürfnissen verändern. Bitte beachten Sie die folgende Creative-Commons-Lizenz, unter der wir dieses Material veröffentlichen. Attribution-ShareAlike 4.0 International: Sie dürfen das Material in jedem Medium oder Format und für jeden Zweck, auch kommerziell, kopieren, weitergeben, anpassen, umgestalten und umwandeln. Sie müssen eine angemessene Quellenangabe machen, einen Link zur Lizenz bereitstellen und angeben, ob Änderungen vorgenommen wurden. Außerdem müssen Sie Ihre Beiträge unter der gleichen Lizenz wie das Original verbreiten. Bitte beachten: Teile des Inhalts basieren auf F. Lüdeke-Freund, H. Breuer & L. Massa (2023). Sustainable Business Model Design. Source: www.sustainablebusiness.design. Dieser Inhalt ist auch lizenziert unter CCBYSA. Bitte beachten Sie die Hinweise auf den jeweiligen Folien und zitieren Sie den Inhalt entsprechend.
Geschäftsmodelle mit Wirkung - Workshopunterlagen
The data contains the reconstructed tomogram slices in a "*.tiff" format as delta contrast tomogram. The correction of the delta tomogram and calculation of the electron density tomogram has to be done as described in the "*_cutoffs.txt" file. Information about required offset correction of the electron density tomograms is provided in the respective publication. Reconstructed X-ray ptychography projections were tomographically reconstructed using the Matlab script of the cSAXS group of the Swiss Light Source, as published in DOI:10.5281/zenodo.3539550 and DOI:10.1364/OE.27.036637. Ptychographic projections were obtained using the PtyRex package available at I13-1 beamline with 400 iterations.
Reconstructed ptychographic X-ray computed tomography data set acquired at Diamond Light Source, instrument I13-1 (proposal MG24079-1) of the activated mesoporous sample Ni/Al$_{2}$O$_{3}$-ma. The data set is part of an artificial coking study of nickel based catalysts, which were investigated by ptychographic X-ray computed tomography. Detailed information regarding sample preparation and experimental conditions are available in the respective publication and electronic supplementary information.
Reconstructed ptychographic X-ray computed tomography data of an activated mesoporous Ni/Al$_{2}$O$_{3}$ catalyst
This survey data was collected from software development (SD) organizations based in the United States and Germany. The survey methodology allows us to collect a larger cross-sectional dataset from practitioners, which was required to test our mediation hypotheses. A research project description explaining the purpose and expected outcomes of the study was sent to 16 software firms through the network of an applied research institute. Ten firms agreed to participate in the study. A customized survey link was sent to a senior executive (e.g., CEO or CIO) in each participating firm via email. The survey was forwarded to a total of 364 SD project managers and members. To reduce the bias related to retrospective data, we defined valid respondents as those who completed at least one SD project in the respective firm within the past 12 months. After removing invalid and incomplete responses, we retained 214 usable responses from 104 SD projects, resulting in a response rate of 55.2%
A data set of 104 software development projects – an investigation on process ambidexterity and project performance
Simulated concentration data for birch pollen, birch SPP and hydrometeors and atmospheric variable (Part 8)
Institut für Katalyseforschung und -technologie (IKFT), Karlsruher Institut für Technologie (KIT), Institut für Technische Chemie und Polymerchemie (ITCP), Karlsruher Institut für Technologie (KIT)
Raw data relevant for the publication: "Novel and more facile synthesis of highly dispersed iron in small-pore zeolites by ion exchange for catalytic applications"
Novel and more facile synthesis of highly dispersed iron in small-pore zeolites by ion exchange for catalytic applications - raw data
Ein Normierungsversuch für die Hauptschule
Es wurden 363 Schüler einer (ländlichen) Hauptschule dem COOPER-Test unterzogen. Gemäß statistischer Analyse (Varianzanalyse) nimmt lediglich die unabhängige Variable "Geschlecht" signifikanten Einfluß auf die abhängige Variable "Laufleistung im COOPER-Test" (p = 0,000). Im Durchschnitt aller Altersstufen zwischen (10) 11 und 17 (18) Jahren beträgt die Differenz zwischen der mittleren Laufleistung der Mädchen und der Jungen 344,3 m. Die für die Jungen (regressionsanalytisch) ermittelte Steig(er)ung beträgt lediglich ca. 5,1 m, die der Mädchen sinkt um fast 23 m pro Lebensjahr. Zwar erzielen etwas mehr als zwei Drittel beider Subpopulationen bei der Bewertung der Laufleistung anhand der Normwerte Noten zwischen "ausreichend" und "sehr gut", wobei nur 5,4 % der Mädchen die beiden oberen Notenstufen erreichen, jedoch fast ein Drittel der Jungen und Mädchen (31,7 % bzw. 32,4 %) schreibt "rote Zahlen" hinsichtlich der Ausdauerleistungsfähigkeit - ein besorgniserregendes Ergebnis. Verl.-Referat.
Motorik Daten wurden mittels DKT (Dordel Koch Test) erhoben. Der 3-minuten-Lauf ist ein "halber 6-Minuten-Lauf" mit den selben Regeln, nur 3 Minuten lang, statt 6. Erfasst wurde objektiv (Anthropometrie, wie auch Motorik) vor Ort durch geschultes Personal Diese Daten sind Baseline-Daten (uninterventiert) einer longitudinalen Messung
Komm mit in das gesunde Boot (Kindergarten)
Data related to: “Volatility of secondary organic aerosol from β-caryophyllene ozonolysis between 213-313 K” by Gao et al., Environ. Sci. & Technol., 2023. 1. Excel file “Data_manuscript_Gao_EST_2023” includes: Figure 1. Mass spectra and sum thermogram of SOA at 213 K - 313 K. Notes: Mass spectra are reprinted with permission under the terms of the Creative Commons Attribution 4.0 License1. Copyright 2022 L. Gao. (KITopen-ID: 1000144632). Figure 2. Fixed-peak gaussian fit for C15H24O3I- at the 213 K, 243 K, 273 K, and 298 K. Notes: The 6-peak gaussian fitting is done using a home made code in MATLAB2018b. The relative fitting error is 1.4%, 2.0%, 1.4%, and 20.1% for SOA213K, SOA243K, SOA273K and SOA298K, respectively. Figure 3. Factor contribution to β-caryophyllene SOA at five formation temperatures. Figure 4. One-dimensional volatility basis set (1D-VBS) based on the volatility calibration and formula method for SOA formed at temperatures (from top to bottom) of 213 K - 313 K. Notes: The estimation of volatility (log10C* at 298 K, log10Csat at 298 K) can be found in the Experimental Section in the manuscript. Table 1. Summary on the average molecule formula, molecular weight (MW), O:C, OSC, and Tmax of 12 PMF factors. Notes: The error of the 12-factor PMF solution can be found in Figure S7 in the supplement. 2. Excel file “Data_supplement_Gao_EST_2023” includes: Figure S1. Correlation between temperatures of maximum desorption (Tmax) and the known saturation vapor pressures (VP) of seven carboxylic acids. Figure S2. Van-Krevelen diagram for β-caryophyllene-dereived particles during the SOA generation period at all temperatures from HR-AMS measurements. Figure S3. Comparison of O:C ratio, H:C ratio, and OSC of SOA particles formed at 213 K - 313 K between the measurements from HR-AMS and FIGAERO-CIMS. Figure S4. The contribution of C15H24O3 in both gas and particle phases for all SOA formation temperatures. Figure S5. A 12-factor PMF solution for β-caryophyllene SOA particles at five temperatures. Figure S6. Q/Qexp values for the varying number of factors in PMF solutions, and varying fpeak in a 12-factor PMF solution. Figure S7. Residual, relative residual, and Q/Qexp change for all samples when varying the number of factors and fpeak values. Figure S8. One-dimension volatility basis set (1D-VBS) based on the formula method for monomers, dimers, and trimers in the SOA particles formed at 213 K – 313 K. Table S1. Compilation of experimental conditions, concentration of β-caryophyllene and O3. Note: This table is reprinted with permission under the terms of the Creative Commons Attribution 4.0 CC BY License1. Copyright 2022 L. Gao. (KITopen-ID: 1000144632). Table S2. Compounds used for the volatility calibration and saturation vapor pressures from literature. Table S3. Compilation of O:C ratios, H:C ratios, OSC, derived from FIGAERO-CIMS measurements and the Tmax of sum thermograms.
We investigated secondary organic aerosol (SOA) from β-caryophyllene oxidation generated over 213-313 K from ozonolysis. Positive matrix factorization (PMF) was used to deconvolute the desorption data (thermograms) of SOA products detected by a chemical ionization mass spectrometer (FIGAERO-CIMS). A non-monotonic dependence of particle volatility (saturation concentration at 298 K, C_298K^*) on formation temperature (213-313 K) was observed, primarily due to temperature-dependent formation pathways of β-caryophyllene oxidation products. The PMF analysis grouped detected ions into 11 compound groups (factors) with characteristic volatility. These compound groups act as indicators for the underlying SOA formation mechanisms. Their different temperature response revealed that the relevant chemical pathways (e.g., autoxidation, oligomer formation, and isomer formation) had distinct optimal temperatures between 213–313 K, significantly beyond the effect of temperature-dependent partitioning. Furthermore, PMF-resolved volatility groups were compared with volatility basis set (VBS) distributions based on different vapor pressure estimation methods. The variation of the volatilities predicted by different methods is affected by highly oxidation oxygenated molecules, isomers and thermal decomposition of oligomers with long carbon chains. This work distinguishes multiple isomers and identifies compound groups of varying volatility, providing new insights into the temperature-dependent formation mechanisms of β-caryophyllene-derived SOA particles.
Volatility of secondary organic aerosol particles from beta-caryophyllene
Volatility of secondary organic aerosol from β-caryophyllene ozonolysis between 213-313 K
DAMAST-KIT-Spartak: Structural Core Analysis
Karlrsruhe Institute of Technology; Institute of Biological and Chemical Systems – Functional Molecular Systems
Heidelberg University; Institute of Organic Chemistry, Centre for Advanced Materials. Karlrsruhe Institute of Technology; Institute of Nanotechnology
Karlrsruhe Institute of Technology; Institute of Nanotechnology
Karlrsruhe Institute of Technology; Inst. of Functional Interfaces, Karlsruhe Nano Micro Facility
Material-Independent 3D Patterning Via Two-Photon Lithography and Discontinuous Wetting
Python code was used to evaluate the pore diameter and lamellae width of the biocatalytic foams from fluorescence microscopy images.
Pythoncode used in: "Harnessing non-covalent protein-protein interaction domains for production of biocatalytic materials systems"
Processed micro-tomographic scan of the ant Cardiocondyla emeryi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Acromyrmex coronatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tetramorium lanuginosum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Rogeria cf blanda, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Lepisiota capensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
3D PRINTING OF POROUS POLYMERS via THIOL-ENE POLYMERIZATION_Fatma_Aslan
Processed micro-tomographic scan of the ant Gnamptogenys horni, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Leptogenys sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Dorylus sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Gigantiops destructor, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Gnamptogenys striatula, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Dilobocondyla fouqueti, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Polyrhachis illaudata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This experiment offers the possibility to simulate the extended sinoatrial node cell models of Severi et al. (2012) and Fabbri et al. (2017) with several [Ca2+]o and [ISO]. The extension of the AC-cAMP-PKA signalling cascade is based on the work of Behar et al. (2016) and described by Linder et al. (2025).
Sympathetic Stimulation Can Compensate for Hypocalcaemia-Induced Bradycardia in Human and Rabbit Sinoatrial Node Cells (v2.0)
Processed micro-tomographic scan of the ant Neivamyrmex cf diana, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Megaponera analis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Melissotarsus FHG02, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Liometopum microcephalum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Myopias sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Lasius sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
PSC volume density profiles retrieved from single MIPAS/Envisat limb scans. Two profiles are provided, 0: retrieved with assumption of 3um radius particles, 1: retrieved with assumption of 0.2um radius particles. These profiles are min/max limits for the volume densities with res1 < 5-10 um3 cm-3. For STS, profiles res1 are best suited. Profiles with res1 > 5-10 um3 cm-3 contain ice and in this case the real volume densities may be even larger.CAUTION: at 26 km and 28 km, retrieval instabilities may be present in case of thick ice PSCs below. For more information, see article: The MIPAS/Envisat climatology (2002–2012) of polar stratospheric cloud (PSC) volume density profiles, M. Hoepfner, T. Deshler, M. Pitts, L. Poole, R. Spang, G. Stiller, T. v. Clarmann, Atmos. Meas. Tech., 2018, https://doi.org/10.5194/amt-2018-163
A global data set of vertical profiles of polar stratospheric cloud (PSC) volume density has been derived from Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) space-borne infrared limb measurements between 2002 and 2012. To develop a well characterized and efficient retrieval scheme, systematic tests based on limb-radiance simulations for PSCs from in-situ balloon observations have been performed . The finally selected wavenumber range was 831–832.5 cm-1. Optical constants of nitric acid trihydrate (NAT) have been used to derive maximum and minimum profiles of volume density which are compatible with MIPAS observations under the assumption of small, non-scattering and larger, scattering PSC particles. These max/min profiles deviate from their mean value at each altitude by about 40-45%, which is attributed as the maximum systematic error of the retrieval. Further, the retrieved volume density profiles are characterized by a random error due to instrumental noise of 0.02–0.05 μm3cm-3, a detection limit of about 0.1–0.2 μm3cm-3 and a vertical resolution of around 3 km. Comparisons with co-incident observations by the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) on the CALIPSO (Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations) satellite showed good agreement regarding the vertical profile shape. Quantitatively, in the case of supercooled ternary solution (STS) PSCs, the CALIOP dataset fits to the MIPAS retrievals obtained under the assumptions of small particles. Unlike for STS and NAT, in the case of ice PSCs the MIPAS retrievals are limited by the clouds becoming optically thick in the limb-direction. In these cases, the MIPAS volume densities represent lower limits. Among other interesting features, this climatology helps to study quantitatively the on-set of PSC formation very near to the South Pole and the large variability of the PSC volume densities between different Arctic stratospheric winters.
Michelson Interferometer for Passive Atmospheric sounding
The MIPAS/Envisat climatology (2002–2012) of polar stratospheric cloud (PSC) volume density profiles
Processed micro-tomographic scan of the ant Diplomorium longipenne, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pseudoponera stigma, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Dorylus nigricans molestus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Strumigenys membranifera, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Acromyrmex balzani, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Formica lemani, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This data belongs to the contribution: "Experimental Testing Approaches in Engineering Design – Investigating the Exploration of Relations of Embodiment and Function in a Student Project" Grauberger, P.; Voß, K.; Matthiesen, P. Respecting Data Protection & Privacy, it is not possible to provide the original .json-files exported from trello.com. + The .py-file contains the Python-Skript to extract the documentation into an .csv-file. + The .pdf-file contains the printed Python-Skript. + The .xlsx-file shows the raw data extracted from the .json-files by the Pythonscript. The python script exports a .csv-file that is converted to an .xlsx-file during processing due to layout. + The .sav-file shows identical data as in the .xlsx-file but imported into SPSS + The .spv-file displays the statiscal evaluation derived from the .sav-file.
Research data: Experimental Testing Approaches in Engineering Design – Investigating the Exploration of Relations of Embodiment and Function in a Student Project
Processed micro-tomographic scan of the ant Crematogaster quadriruga, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cardiocondyla minutior, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Rhopalomastix sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Angewandte Geowissenschaften (AGW), Karlsruher Institut für Technologie (KIT)
Research data to the dissertation Characterization of reservoir quality and supply chains for critical raw materials
Job monitoring data in the csv format. Each line corresponds to a distinct job execution and contains its characteristic quantities.
Job monitoring data for Modelling of Large-Scale Distributed Computing Systems
Processed micro-tomographic scan of the ant Temnothorax OK01, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Seven systems are treated in the manuscript sections 3.1 - 3.8. The simulations for sections 3.1 - 3.7 are implemented in Julia (available at https://julialang.org/), the simulation for section 3.8 uses a modification of the Matlab toolbox SSMTool-2.1 (available at https://github.com/haller-group/SSMTool-2.1). To execute the Julia code, setup Julia and a suitable editor (e.g. VSCode, https://www.julia-vscode.org/); the implementation was performed in Julia version 1.7.2. Before any of the .jl-files can be executed for the first time, the necessary packages must be downloaded. For this, press "]" (without quotation marks) in the Julia REPL to enter the package manager, then execute the following commands: add LinearAlgebra add Combinatorics add SparseArrays add DifferentialEquations add Optim add JuMP add Ipopt add NLsolve add Plots add PyPlot add PlotlyJS add TaylorSeries add LaTeXStrings To execute the Matlab code, install Matlab (commercial license required); the implementation was performed in Matlab version R2021b. At the beginning of every Matlab session (after you open Matlab), navigate to the subfolder "External\SSMTool-2.1-master" and run the script "install.m". To run the original system by Jain and Haller (2021), navigate to the subfolder "External\SSMTool-2.1-master\examples\vonKarmanBeam" and run the Workbook "vonKarmanBeamWorkbook.mlx". (Note that none of the other examples contained in SSMTool-2.1 (available at https://github.com/haller-group/SSMTool-2.1) is included in this reference of the code.) To run the modified system as discussed in our manuscript (increased forcing amplitude, modified coefficients), navigate to the subfolder "External\SSMTool-2.1-master\examples\vonKarmanBeam_Modified" and run the Workbook "vonKarmanBeamWorkbook_Modified.mlx". (Note that the runtime may be several hours due to the reference result calculated via continuation with coco.) The modified coefficients are stored in the file \External\SSMTool-2.1-master\examples\vonKarmanBeam_Modified\Alternative_Parametrization\Coefficients\SSM_Coeffs_von_Karman_10EL_Modified.mat which is loaded by the simulation script "vonKarmanBeamWorkbook_Modified.mlx".
This code contains all implementations to produce the results for the following manuscript: A. K. Stoychev, U. J. Römer, "Failing Parametrizations: What can go Wrong when Approximating Spectral Submanifolds", Nonlinear Dynamics 111, 5963-6000 (2023), doi: 10.1007/s11071-022-08154-3 Refer to the file "Code_Failing_Parametrizations_final.zip" for all files and a readme. A preliminary version of the code that was prepared for the preprint with the same title is also available.
Failing Parametrizations: Julia and Matlab Code
Processed micro-tomographic scan of the ant Acanthostichus aff brevicornis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Mycetagroicus inflatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Leptogenys unistimulosa, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Eurhopalothrix procera, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Camponotus vitiosus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cataglyphis savignyi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Manica yessensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tetramorium metactum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pseudomyrmex ejectus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Rossomyrmex quandratinodum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Dolichoderus bispinosus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Lachnomyrmex victori, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Nomamyrmex esenbeckii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tetramorium hispidum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pheidole cavifrons, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains FAIR records which describe the tribological experiment Copper under Constant Normal Load #0011, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0011 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Processed micro-tomographic scan of the ant Acanthoponera sp n, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Aenictus paradentatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Ice crystal formation in mixed-phase clouds is initiated by specific aerosol particles, termed ice-nucleating particles (INPs). Only a tiny fraction of all aerosol particles are INPs, providing a challenge for contemporary INP measurement techniques. Models have shown that the presence of INPs in clouds can impact their radiative properties and induce precipitation formation. However, for a qualified implementation of INPs in models, measurement techniques able to accurately detect the temperature-dependent INP concentration are needed. Here we present measurements of INP concentrations in ambient air under conditions relevant to mixed-phase clouds from a total of ten INP methods over two weeks in October 2018 at the Puy de Dôme observatory in central France. A special focus in this intercomparison campaign was placed on having overlapping sampling periods. Although a variety of different measurement principles were used, the majority of the data show INP concentrations within a factor of 5 of one another, demonstrating the suitability of the instruments to derive model-relevant INP data. Lower values of comparability are likely due to instrument-specific features such as aerosol lamina spreading in continuous-flow diffusion chambers, demonstrating the need to account for such phenomena when interpreting INP concentration data from online instruments. Moreover, consistently higher INP concentrations were observed from aerosol filters collected on the rooftop at the Puy de Dôme station without the use of an aerosol inlet.
Ice-nucleating particle concentration measurements from two continuous flow diffusion chambers (CFDC; Colorado State University-Continuous Flow Diffusion Chamber, CSU-CFDC; Spectrometer for Ice Nuclei, SPIN) and an expansion chamber (Portable Ice Nucleation Experiment, PINE) and seven offline freezing techniques using water suspensions of filter-collected particles sampled (FRankfurt Ice Nuclei Deposition FreezinG Experiment, FRIDGE; Ice Nucleation Droplet Array, INDA; Ice Nucleation Spectrometer of the Karlsruhe Institute of Technology, INSEKT; Ice Spectrometer, IS; Leipzig Ice Nucleation Array, LINA; LED based Ice Nucleation Detection Apparatus LINDA; Micro-Orifice Uniform Deposit Impactor–Droplet Freezing Technique, UNAM-MOUDI-DFT).
The Puy de Dôme ICe Nucleation Intercomparison Campaign (PICNIC): Comparison between online and offline methods in ambient air
Bei diesem Dokument handelt es sich um Forschungsdaten, die im Rahmen der Dissertation "Akzeptanz und Versicherbarkeit autonom fahrender Automobile - Ein Weg in eine unfallfreie Zukunft" (Veröffentlichung im Jahr 2020) von Arne Holz (geb. 12.08.1986 in Ulm) erhoben wurden. Es beihaltet die strukturierten qualitativen Antworten der Probanden, die an der Akzeptanzbefragung teilgenommen haben. Diese wurden mithilfe einer inhaltsanalytischen Auswertung in Anlehnung an das Verfahren der Content Analysis nach Stone (1997) ausgewertet. Eine ausführliche Nutzungsbeschreibung findet sich auf der ersten Seite des Dokuments.
Ausführliche qualitative Aussagen der Befragten zur Dissertation "Akzeptanz und Versicherbarkeit autonom fahrender Automobile - Ein Weg in eine unfallfreie Zukunft" von Arne Holz
Processed micro-tomographic scan of the ant Tetramorium bicarinatum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Procryptocerus sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Findability and Accessibility through Continuous Integration With Less Effort for Research Software
A set of Python scripts for tasks around the archival and long term preservation of software repositories.
Data_Format - Software Raw - diffrac.eva(Bruker) Gfm - diffrac.eva(Bruker) Xy - Origin dm3/4 - DigitalMicrograph mrc - ImageJ emd - Velox
Microstructural study of MgB$_{2}$ in the LiBH$_{4}$-MgH$_{2}$ composite by TEM
Processed micro-tomographic scan of the ant Acropyga butteli, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Formica cunicularia, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Mayriella sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pheidole parva, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cryptopone tengu, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This program is intended to reproduce the results from the paper "Error analysis for space discretizations of quasilinear wave-type equations" It is an implementation of the full discretization of quasilinear wave equations, e.g., the Westervelt equation, following the method of lines.For the discretization in space, we apply a continuous Galerkin approach withisoparametric finite elements. For the subsequent discretization in time, two variants of the implicit midpoint rule as well as the leapfrog scheme areimplemented. The code is based on the open source finite element library MFEM (version 4.2). Further information can be found at https://mfem.org/ . -------------------------------------------------------------------------------- To use this code, MFEM (release 4.2) has to be installed supporting MPI, using Open MPI (release 4.1), Hypre (release 2.16.0), and Metis (release 5.1.0), cf. https://mfem.org/building/ . In order to run the program, change the makefile such that MFEM_DIR and MFEM_BUILD_DIR point to the source and build directory of MFEM on your system. Then, open a terminal session, go to the directory of the makefile and call "make". To reproduce the results shown in the paper, run the file "driver" to compute the results. These are then written to the file "res/results.txt" and can be displayed in a simple plot with the Matlab script "res/plot_results.m".
This code was used for the numerical experiments in the preprint (CRC Preprint 2021/2; URL: https://www.waves.kit.edu/downloads/CRC1173_Preprint_2021-2.pdf) and in the paper "Error analysis for space discretizations of quasilinear wave-type equations" by M. Hochbruck and B. Maier.
Numerical experiments to "Error analysis for space discretizations of quasilinear wave-type equations"
Processed micro-tomographic scan of the ant Brachymyrmex sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Iberoformica subrufa, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Automation und angewandte Informatik (IAI), Karlsruher Institut für Technologie (KIT)
Die Details zu den Daten können dem OA Paper "Automated manufacturing process for sustainable prototyping of nuclear magnetic resonance transceivers" im Journal Magnetic Resonance (https://doi.org/10.5194/mr-2024-22) entnommen werden.
Rohdaten zur Publikation "Automated manufacturing process for sustainable prototyping of nuclear magnetic resonance transceivers" (10.5194/mr-2024-22)
Processed micro-tomographic scan of the ant Strumigenys aff cincinnata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pristomyrmex punctatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Proceratium sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Zur Bestimmung von Abrollformen (englisch: roll-over shapes) für den Fuß wurden Experimente mit neun Probanden durchgeführt (4 männlich, 5 weiblich). Durch ein Motion Capture System werden die Positionen von Markern erfasst, die an den Knöcheln und dem Großzehengrundgelenk angebracht sind, während die Probenden geradeaus gehen. Zur Messung der Kontaktkräfte werden zwei Kraftmessplatten genutzt, auf die die Probanden während dem Gehen auftreten. Aus den Rohdaten wird jeweils die Trajektorie des Sprunggelenks extrahiert, während der Fuß auf einer der Kraftmessplatten abrollt. Aus diesen Trajektorien wird eine Abrollform für jeden Fuß erstellt. Das genaue Vorgehen ist in der Dissertation "Über den Einfluss der Fußgeometrie auf die Energieeffizienz beim zweibeinigen Gehen" (Ulrich J. Römer, 2019, DOI: 10.5445/KSP/1000089994) geschrieben.
Experiments with nine subjects (4 male, 5 female) are conducted to determine roll-over shapes for their feet. The position of markers at the knuckles and the metatarsal joint is measured via motion capturing for straight walking. Two force plates are used to measure contact forces during walking. The respective ankle trajectories are extracted from the raw data while a foot is rolling on one of the force plates. Roll-over shapes are created to fit the trajectory. A etailed description of the method and the models is given in the PhD thesis "Über den Einfluss der Fußgeometrie auf die Energieeffizienz beim zweibeinigen Gehen" (Ulrich J. Römer, 2019, DOI:10.5445/KSP/1000089994, in German).
Die Rohdaten und die Skripte zur Auswertung der Abrollfomen sind als Matlab-Dateien abgelegt. Der Matlab-Code zur Auswertung der Modelle für die Abrollform wird automatisch aus dem Maple-Worksheet "RegFoot.mw" generiert und im Unterordner "m_functions_out" abgelegt (Maple wird zur Ausführung des Matlab-Codes nicht benötigt, alle Dateien sind bereits erzeugt). Aus den Rohdaten in "raw_data.mat" werden mit dem Skript "a_preproc_data.m" die Trajektorien der Sprunggelenke für die Abrollbewegung auf der Kraftmessplatte extrahiert und in "preproc_data.m" gespeichert. Mit dem Skript "b_fitted_data.m" werden an diese Trajektorien die Modelle für die Abrollform angepasst. Zum Fitten der Daten wird die Funktion "fitfoot.m" aufgerufen. Die Daten für die gefitteten Modelle werden in "fitted_data.mat" gespeichert. Mit dem Skript "c_postproc_data.m" werden aus diesen gefitteten Daten Plots für die Geometrie und die Trajektorien des Modells und der Messung erzeugt und im Unterordner "results" gespeichert. Alle Plots sind als png-Dateien Teil dieses Datensatzes.
Roll-over shapes for 9 human candidates with and without shoes: measurement data, evaluation scripts and results
Processed micro-tomographic scan of the ant Pheidole sp flavens group, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pachycondyla harpax, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Mesoponera ambigua, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Anoplolepis gracilipes, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tapinoma schultzei, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tetramorium caespitum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Elemental Distribution in Catalyst-Coated Membranes of PEM Water Electrolysers Tracked by Synchrotron X-ray Fluorescence - Pristine CCM
Processed micro-tomographic scan of the ant Temnothorax mauritanicus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Messor afrc-za01, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pogonomyrmex desertorum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Das Deutsche Zentrum für Luft- und Raumfahrt (DLR)
### **DATA SET DESCRIPTION** ### **1. Spatial coverage** Measurements were collected during the CROSSINN field campaign in the Inn Valley, Austria. The focus of the campaign was located at a mild valley curvature approximately 20 km northeast of Innsbruck. This data set contains aircraft measurements conducted during five IOPs. ### **2. Temporal coverage** *IOP1* - 05.08.2019 *IOP2b* - 09.08.2019 *IOP4* - 14.08.2019 *IOP6* - 22.08.2019 *IOP7b* - 27.08.2019 ### **3. Instrument details and data file structure** Available here is a single file, FDLR.zip, containing the following folder structure: ***10 Hz*** folder contains quality-controlled (following Mallaun et al, 2015) raw measurements (temporal resolution 10 Hz) collected with the METPOD meteorological sensor package mounted on the Cessna Grand Caravan 208B of the German Aerospace Center (DLR). ***100 Hz*** folder contains quality-controlled (following Mallaun et al, 2015) raw measurements (temporal resolution 100 Hz) collected with the METPOD meteorological sensor package mounted on the Cessna Grand Caravan 208B of the German Aerospace Center (DLR). ***overview*** folder contains .kml, .kmz, and .pdf overviews of all ten flights, performed during five selected CROSSINN Intensive Observation Periods (IOP). Additionally, the file 'extracted_straight_leg_segments.txt' contains starting and ending indices of the straight leg segments, obtained for the 10 Hz data set by Nevio Babić. The image 'google_earth_flightpattern_sites.jpg' contains a sample of a combined set of along-valley and cross-valley legs. ### **4. Locations** The along-valley and cross-valley legs were flown in the vicinity of the CROSSINN investigation area, centered at the Kolsass headquarter site. Kolsass - 47.305290°N / 11.622231°E ### **5. Contact** Contact nevio.babic@kit.edu for any questions regarding the data sets. ### **6. References** Adler B., A. Gohm, N. Kalthoff, N. Babić, U. Corsmeier, M. Lehner, M. W. Rotach, M. Haid, P. Markmann, E. Gast, G. Tsaknakis, and G. Georgoussis. " CROSSINN - a field experiment to study the three-dimensional flow structure in the Inn Valley, Austria", Bulletin of the American Meteorological Society (2020): 1-55, accessed Dec 11, 2020, https://doi.org/10.1175/BAMS-D-19-0283.1 Mallaun C., A. Giez, and R. Baumann. "Calibration of 3-D wind measurements on a single-engine research aircraft." Atmospheric Measurement Techniques 8.8 (2015): 3177-3196.
The data sets found here were collected with the Cessna Grand Caravan aircraft (German Aerospace Center, DLR) in the Inn Valley, Austria, from 1 Aug 2019 to 13 Oct 2019, within the CROSSINN field campaign (Cross-valley flow in the Inn Valley investigated by dual-Doppler lidar measurements). The goal of the campaign was to study the multi-scale three-dimensional flow structure and the impact of the flow on the mountain atmospheric boundary layer (MoBL) structure and evolution across the Inn Valley. Further details of the campaign can be found in Adler et al (2020). Adler B., A. Gohm, N. Kalthoff, N. Babić, U. Corsmeier, M. Lehner, M. W. Rotach, M. Haid, P. Markmann, E. Gast, G. Tsaknakis, and G. Georgoussis. " CROSSINN - a field experiment to study the three-dimensional flow structure in the Inn Valley, Austria", Bulletin of the American Meteorological Society (2020): 1-55, accessed Dec 11, 2020, https://doi.org/10.1175/BAMS-D-19-0283.1
Die hier zu findenden Datensätze wurden mit dem Cessna Grand Caravan Flugzeug (Das Deutsche Zentrum für Luft- und Raumfahrt, DLR) im Inntal, Österreich, vom 1.8.2019 bis 13.10.2019, im Rahmen der CROSSINN-Feldkampagne (Cross-valley flow in the Inn Valley investigated by dual-Doppler lidar measurements) erhoben. Das Ziel der Kampagne war es, die multiskalige dreidimensionale Strömungsstruktur und den Einfluss der Strömung auf die Struktur und Entwicklung der atmosphärischen Grenzschicht (MoBL) über dem Inntal zu untersuchen. Weitere Details der Kampagne sind in Adler et al. (2020) zu finden. Adler B., A. Gohm, N. Kalthoff, N. Babić, U. Corsmeier, M. Lehner, M. W. Rotach, M. Haid, P. Markmann, E. Gast, G. Tsaknakis, and G. Georgoussis. " CROSSINN - a field experiment to study the three-dimensional flow structure in the Inn Valley, Austria", Bulletin of the American Meteorological Society (2020): 1-55, accessed Dec 11, 2020, https://doi.org/10.1175/BAMS-D-19-0283.1
infrared radiometer brightness temperature
CROSSINN (Cross-valley flow in the Inn Valley investigated by dual-Doppler lidar measurements) - Aircraft data set [FDLR]
This program is intended to reproduce the results from the paper "On averaged exponential integrators for semilinear wave equations with solutions of low-regularity. " by S. Buchholz, B. Dörich, and M. Hochbruck. The codes generates Figure 2. #### Requirements The program is tested with 1) Ubuntu 16.04.7 LTS and Python 3.7.6 and the following version of its modules: - numpy - 1.15.4 - scipy - 1.4.1 - matplotlib - 3.2.1 - tikzplotlib - 0.9.6 2) Ubuntu 18.04.5 LTS and Python 3.6.9 and the following version of its modules: - numpy - 1.19.2 - scipy - 1.5.1 - matplotlib - 3.3.2 - tikzplotlib - 0.9.4 #### Figure 2 In this folder open a console and run the following commands after each other. 1) Run "python3 run_paper_Strang_N_2pw09.py" 2) Run "python3 run_paper_Strang_N_2pw10.py" 3) Run "python3 run_paper_Strang_N_2pw11.py" After running the calculations, the errors can be found in the folder "results" as tikz-files.
This code was used for the numerical experiments in the preprint (CRC Preprint 2021/12; URL: https://www.waves.kit.edu/downloads/CRC1173_Preprint_2021-12.pdf) and in the paper "On averaged exponential integrators for semilinear wave equations with solutions of low-regularity" by S. Buchholz, B. Dörich, and M. Hochbruck.
Numerical experiments to "On averaged exponential integrators for semilinear wave equations with solutions of low-regularity"
Processed micro-tomographic scan of the ant Pogonomyrmex barbatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Lioponera foreli, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Simulation results tagged f04623 (see appendix A) generated using Inovesa (10.5281/zenodo.1243264). The data is usable utilizeing e.g. the scripts provided at https://github.com/Inovesa/examples.
Processed micro-tomographic scan of the ant Tetramorium sericeiventre, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cephalotes spinosus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Temnothorax indra, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Acropyga goeldii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Myrmelachista ramulorum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Messor aciculatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Lasius sakagamii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Analysis (IANA), Karlsruher Institut für Technologie (KIT)
This program is intended to reproduce the results from the preprint "Error analysis of the Strang splitting for the 3D semilinear wave equation with finite-energy data" by Maximilian Ruff The program is tested with Windows 10 and Python 3.10 and the following version of its modules: numpy - 1.26.3 matplotlib - 3.5.1 tikzplotlib - 0.10.1 Figure 1: Run "run_alpha3.py" Figure 2: Run "run_alpha4.py" Figure 3: Run "run_alpha5.py" Parts of the code relies on on code written by B. Dörich in https://doi.org/10.5445/IR/1000130189 .
Numerical experiments to "Error analysis of the Strang splitting for the 3D semilinear wave equation with finite-energy data"
Processed micro-tomographic scan of the ant Anochetus katonae, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Paraponera clavata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Quantenmaterialien und -technologien
data are stored in an project of origin lab format
Research on charge-density-wave (CDW) ordered transition-metal dichalcogenides continues to unravel new states of quantum matter correlated to the intertwined lattice and electronic degrees of freedom. Here, we report an inelastic x-ray scattering investigation of the lattice dynamics of the canonical CDW compound 2H-TaSe2 complemented by angle-resolved photoemission spectroscopy and density functional perturbation theory. Our results rule out the formation of a central-peak without full phonon softening for the CDW transition in 2H-TaSe2 and provide evidence for a novel precursor region above the CDW transition temperature TCDW, which is characterized by an overdamped phonon mode and not detectable in our photoemission experiments. Thus, 2H-TaSe2 exhibits structural before electronic static order and emphasizes the important lattice contribution to CDW transitions. Our ab-initio calculations explain the interplay of electron-phonon coupling and Fermi surface topology triggering the CDW phase transition and predict that the CDW soft phonon mode promotes emergent superconductivity near the pressure-driven CDW quantum critical point.
Precursor region with full phonon softening above the charge-density-wave phase transition in 2H-TaSe$_2$
Processed micro-tomographic scan of the ant Neivamyrmex nigrescens, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Neoponera marginata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pheidole megacephala, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Die dieser Veröffentlichung zugrunde liegenden Arbeiten wurden im Auftrag des Bundesministers für Verkehr und digitale Infrastruktur unter FE-Nr. 70.952/2019 durchgeführt. Die Verantwortung für den Inhalt liegt ausschließlich beim Autor.
Deutsches Mobilitätspanel (MOP) - Statistiken zur Alltagsmobilität sowie zu Fahrleistung und Kraftstoffverbrauch 2010 - 2019
Processed micro-tomographic scan of the ant Mycetophylax asper, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Solenopsis tipuna, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
# Statistics on turbulent forced convection pipe flow with different thermal boundary conditions for two Prandtl numbers This database features velocity and thermal statistics for fluids of Prandtl numbers Pr=0.71, 0.025 and bulk Reynolds numbers of Re=5300, 11700, 19000, 37700 in a fully-developed forced convection pipe flow. The different types of thermal boundary conditions are isothermal ("IT"), mixed-type boundary condition ("MBC") and isoflux ("IF") as given in the accompanying publication. The detailed description of the numerical setup and discussion of the statistics contained in this database are given in the accompanying publication: Straub, Forooghi, Marocco, Wetzel, Vinuesa, Schlatter, Frohnapfel (2019) "The influence of thermal boundary conditions on turbulent forced convection pipe flow at two Prandtl numbers". International Journal of Heat and Mass Transfer. 2019. ## Contents * Velocity statistics: * Friction Reynolds number * Mean velocity, Reynolds stresses * Budgets of Reynolds stresses and turbulent kinetic energy * Thermal statistics: * Nusselt number and its contributions * Mean temperature, temperature variance and turbulent heat fluxes * Budgets of temperature variance and turbulent heat flux
This database contains numerical results of well-resolved large-eddy simulations and direct numerical simulations on a fully-developed turbulent forced convection pipe flow with different thermal boundary conditions. Please refer to the README for further information.
Statistics on turbulent forced convection pipe flow with different thermal boundary conditions for two Prandtl numbers
This dataset includes 29280 2D images taken from 3D µCT scans of carbon fiber reinforced polyamide 6. They were generated by augmenting (x4) and cutting (x4) of 1830 single 2D images resulting from 18 different specimens of 2 CFRP plaques. The images were used as training data for a generative adversarial network (GAN) which creates similar microstructural images. Please find details in the following publication: Blarr, J.; Klinder, S.; Liebig, W. V.; Inal, K.; Kärger, L.; Weidenmann, K. A.: Deep convolutional generative adversarial network for generation of computed tomography images of heterogeneous low-contrast microstructures. Nature Scientific Reports XXX (2024).
2D images of CT scans of carbon fiber reinforced polyamide 6
Die Datei im pdf-Format enthält eine Anleitung zum Bau des im zugehörigen Zeitschriftenaufsatz präsentierten automatisierten Fluid-Probenehmers "GUARD".
GUARD autosampler - Assembly instructions
Processed micro-tomographic scan of the ant Cyphoidris afrc-tz01, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Camponotus sachalinensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Neivamyrmex pilosus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Strumigenys incerta, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Data for Polarization-dependent effects in vibrational absorption spectra of 2D finite-size adsorbate islands on dielectric substrates
Processed micro-tomographic scan of the ant Allomerus octoarticulatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Centromyrmex brachycola, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Strumigenys strigatella, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Forelius cf brasiliensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Neivamyrmex aff pacificus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Myrmelachista nodigera, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Azteca cf chartifex, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Carebara atoma, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Atmosphärische Spurenstoffe und Fernerkundung, Institut für Photogrammetrie und Fernerkundung
Institut für Meteorologie und Klimaforschung Troposphärenforschung
# Code of Dietel et al.: "Combined impacts of temperature, sea ice coverage, and mixing ratios of sea spray and dust on cloud phase over the Arctic and Southern Oceans", submitted to Geophysical Research Letters ## Scripts to train a machine learning model (Histogram based gradient boosting regression with scikitlearn) and calculate SHapley Additive exPlanation (SHAP) values The machine learning model can predict the liquid fraction in different cloud types based on four parameters, namely the cloud top temperature, the sea ice concentration, the dust mixing ratio and the sea salt mixing ratio. More information on the used dataset can be found here: [Dietel et al. 2023](https://egusphere.copernicus.org/preprints/2023/egusphere-2023-2281/) ### Bash-scripts The bash scripts are used to run the python scripts for different cloud types and regions on a cluster. bash-scripts starting with ***GBR_[...]*** (Gradient Boosting Regression) run the python-script ***hist_gbr_subset_final2_with_comments.py*** for different regions (Arctic Ocean (AO), Southern Ocean (SO)) and different cloud types (low-level, mid-level,mid-to-low-level). bash-scripts starting with ***shap_values_***[...] run the python-script ***shap_values-subset-final2_with_comments.py*** to calculate SHAP values based on the trained machine learning models for a 500 000 sample subset of the validation dataset. ### Python scripts ***hist_gbr_subset_final2_with_comments.py*** Python script to train the a Histogram-based Gradient Boosting Regression model using the scikitlearn python package. More detailed information can be found as comments in the scripts. ***shap_values-subset-final2_with_comments.py*** Calculates SHAP values for a 500 000 sample subset of the validation dataset to make the machine learning model explainable. More detailed information can be found as comments in the scripts.
Histogram based gradient boosting regression
Code of Dietel et al.: "Combined impacts of temperature, sea ice coverage, and mixing ratios of sea spray and dust on cloud phase over the Arctic and Southern Oceans", submitted to Geophysical Research Letters
Processed micro-tomographic scan of the ant Strumigenys sp appretiata group, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Protanilla lini, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cephalotes pinelii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Lioponera daikoku, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
During sliding of metallic surfaces, the near surfaces undergo significant changes in terms of topography, composition and microstructure. Since friction and wear behavior of the materials are strongly influenced by sub-surface deformations, it is fundamental to investigate these effects. Therefore, the present study aims towards a better understanding of the behavior of friction depending on well-defined initial microstructures. By performing sliding experiments on Au-Ni multilayer samples under ultrahigh vacuum (UHV) conditions, we observe that the individual layer thickness of multilayer systems has a strong influence on friction behavior due to the transition in the dominant deformation mechanism near the surface. The experiments reported here provide a new route for lowering the friction force of metallic material systems in dry contact by providing more stable microstructures and alloy formation. Through ultrafine grains present in the alloy formed by mechanical mixing the number of grain boundaries strongly increases and hence, grain boundary-mediated deformation results in the low friction coefficient.
Friction data aquired by the homebuilt UHV microtribometer for a ruby sphere sliding against different Au-Ni multilayer samples. The data includes normal load, friction force and COF as a function of the mulitlayer thickness.
Processed micro-tomographic scan of the ant Phrynoponera transversa, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Dorymyrmex sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Odontomachus bauri, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Nylanderia okm05, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Myrmoteras sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains FAIR records which describe the tribological experiment Copper under Constant Normal Load #0001, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0001 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Institut für Programmstrukturen und Datenorganisation
Supplementary Material for the paper "Results from the Verification of Spectrum Auction Model"
Processed micro-tomographic scan of the ant Temnothorax affinis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Lasius fuliginosus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Further details on the infrasound records are provided in "Swabian MOSES 2021: An interdisciplinary field campaign for investigating convective storms and their event chains" by M. Kunz et al., Front. Earth Sci. Sec. Atmospheric Science, 2022, DOI: 10.3389/feart.2022.999593
Infrasound data collected by Swabian MOSES 2021
Im Rahmen der Swabian MOSES Kampagne 2021 aufgezeichnete Infraschalldaten
Processed micro-tomographic scan of the ant Strumigenys sp mandibularis group, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Strumigenys crassicornis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Camponotus kiusiuensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Angewandte Materialien – Computational Materials Science (IAM-CMS), Karlsruher Institut für Technologie (KIT), Institut für Angewandte Materialien – Zuverlässigkeit und Mikrostruktur (IAM-ZM), Karlsruher Institut für Technologie (KIT)
Raw data containing friction data, profilometry, light microscopy and electron microscopy data
How Surface Treatment of Porous Copper Samples Dictates Dry Friction and Wear
Processed micro-tomographic scan of the ant Mycetomoellerius holmgreni, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Crematogaster cf crinosa, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Acanthomyrmex luciolae, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cataglyphis iberica, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Psalidomyrmex sallyae, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Odontomachus hastatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Anochetus risii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Camponotus lateralis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pheidole dyctiota, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Recurvidris recurvispinosa, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Stigmatomma okm01, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Stigmatomma FHG02, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Typhlomyrmex rogenhoferi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Axinidris hypoclinoides, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant OUTGROUP_Tachypompilus analis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
## Readme This program is intended to reproduce the results from the preprint "Error bounds for discrete minimizers of the Ginzburg--Landau energy in the high-$\kappa$ regime" by Benjamin Dörich and Patrick Henning The codes generates the lines in Figures2 and 3 #### Requirements The program is tested with Ubuntu 20.04.5 LTS and Python 3.8.10 and the following version of its modules: - numpy - 1.17.4 - scipy - 1.3.3 - matplotlib - 3.1.2 - tikzplotlib - 0.9.8 - dolfin - 2019.2.0.dev0 - fenics - 2019.2.0.dev0 #### Figures In the folder "code_23_DoerichHenning_GL" open a console and run the following commands after each other (2a+b, 4a+b can be executed in paralell). 1) Run "python3 c1_generate_rectangle.py" 2a) Run "python3 c2a_GL_FEM_comp_all_min_finest.py" 2b) Run "python3 c20_GL_FEM_comp_kappa20.py" 3) Run "python3 c2b_GL_FEM_comp_all_min.py" 4a) Run "python3 c3a_GL_FEM_comp_all_errors.py" 4b) Run "python3 c3b_GL_FEM_comp_all_eigs.py" 5) Run "python3 c4_GL_FEM_draw_error_plot.py" After running the calculations, the files are stored as follows: (a) the folder "plots_for_paper" contains the pdf and tikz files for the error plots in Figure 2 and 3. (b) the folders "sol_ref_3_Mag_st_2.0_kappa_[KAPPA]_P1_square" contain all figures of the solutions where [KAPPA] is replaced by the respective value.
Ginzburg–Landau equation superconductivity error analysis finite element method
Numerical experiments for "Error bounds for discrete minimizers of the Ginzburg-Landau energy in the high-κ regime" (v3)
Der Datensatz beinhaltet die Simulationen des Papers "Micro-textures inversely designed with overlayed-lithography manufacturability for wetting behavior in Cassie–Baxter status". DOI: 10.1016/j.apm.2019.04.059
Dataset to the publication 'Micro-textures inversely designed with overlayed-lithography manufacturability for wetting behavior in Cassie–Baxter status'
Processed micro-tomographic scan of the ant Gnamptogenys aff continua, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Ectatomma brunneum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
In the present paper we consider a class of quasilinear wave equations on a smooth, bounded domain. We discretize it in space with isoparametric finite elements, and apply a semi-implicit Euler and midpoint rule as well as the exponential Euler and midpoint rule to obtain four fully discrete schemes. We derive rigorous error bounds of optimal order for the semi-discretization in space and the fully discrete methods in norms which are stronger than the classical $H^1\times L^2$ energy norm under weak CFL-type conditions. To confirm our theoretical findings, we also present numerical experiments.
This code is used for the numerical experiment in Section 2 of the paper "Strong norm error bounds for quasilinear wave equations under weak CFL-type conditions" by Benjamin Dörich. Part of the code relies on code written by J. Leibold in https://doi.org/10.5445/IR/1000130223 . The computations are done in C++ using the Finite Element library deal.II; the plots then are generated with Python3. To use this code, deal.II (release 9.5.1) has to be installed, cf. https://www.dealii.org/9.5.0 In order to compile the program, open a terminal session in this folderand call "cmake -DDEAL_II_DIR=/path/to/deal.II ." Next, call "make release" and "make". Then, one can run the commands (can be done in paralell) ./main P1 ./main P2 ./main P3 ./main P3_half ./main euler ./main midpoint ./main alpha60P1 ./main alpha60P2 ./main alpha80P1 ./main alpha80P1 ./main alpha90P1 ./main alpha90P2 ./main alpha95P1 ./main alpha95P2 to execute the code. This performs the computations and generates the files parameters_P1.ini_space_Q1.txt parameters_P2.ini_space_Q2.txt parameters_P3.ini_space_Q3.txt parameters_P3_half.ini_space_Q3.txt parameters_euler.ini_time_ImplEuler parameters_midpoint.ini_time_MidpointRule parameters_alpha_60_P1.ini_space_Q1.txt parameters_alpha_60_P1.ini_space_Q2.txt parameters_alpha_80_P1.ini_space_Q1.txt parameters_alpha_80_P2.ini_space_Q2.txt parameters_alpha_90_P1.ini_space_Q1.txt parameters_alpha_90_P2.ini_space_Q2.txt parameters_alpha_95_P1.ini_space_Q1.txt parameters_alpha_95_P2.ini_space_Q2.txt in the folder "error" containing the results of the numerical experiments. After that, the plots can be generated with the Python3 Script using in the terminal python3 wave_non_auto_error_plots.py in the folder "tikz".
Code to "Strong norm error bounds for quasilinear wave equations under weak CFL-type conditions" (v2)
Processed micro-tomographic scan of the ant Trichomyrmex emeryi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pseudomyrmex gracilis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Octostruma cf betschi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Neivamyrmex cf hetschkoi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Automation und angewandte Informatik (IAI), Karlsruher Institut für Technologie (KIT), Institut für Biologische und Chemische Systeme (IBCS), Karlsruher Institut für Technologie (KIT)
The droplet microarray (DMA) platform is a powerful tool for high-throughput biological and chemical applications, enabling miniaturization and parallelization of experimental processes. Capable of holding hundreds of nanoliter droplets, it facilitates the screening and analysis of various samples, including cells, bacteria, embryos, and spheroids. Handling thousands of such small volumes in parallel is essential but presents substantial challenges. In this study we utilize the open format of the DMA for controlled and highly parallel high-throughput liquid manipulations using the sandwich technique. We demonstrate high-throughput medium replacement at nanoliter-scale, maintaining high viability of cells on DMA for up to 7 days for HeLa-CLL2 cells (adherent) and SU-DHL4 cells (suspension), and up to 14 days for HEK293 spheroids. We also demonstrate highly parallel uptake aliquots from nanoliter droplets, which we use for non-destructive cell viability assessment. Additionally, the presented method enables the controlled parallel transfer of cell spheroids between different DMAs, enabling both transfer and pooling of spheroids in seconds without their damage. These advances significantly enhance the capabilities of DMA, enabling long-term cell culture in thousands of nanoliter droplets and allowing parallel sampling and high-throughput cell or spheroid manipulation for various screening applications. This broadens the potential applications of the DMA platform in the fields such as cell-based high-throughput screening, formation of complex 3D cell models for drug screening, and microtissue engineering.
Highly Parallel and High-Throughput Nanoliter-Scale Liquid, Cell, and Spheroid Manipulation on Droplet Microarray
Readme files that explains the structure of the data are stored inside the folder containing the data
Results of MC simulations (lowest energy geometries and energies, as well as energies and CN-profile taken every 5x107 iterations for each run) for all the investigated particles
Modeling the Shape and Stability of Supported Co Nanoparticles under Fischer-Tropsch Conditions via DFT Calculations and Monte Carlo simulations: Insights into CO-Driven Surface Reconstruction
Processed micro-tomographic scan of the ant Anochetus sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tapinoma nigerrimum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Formica fukaii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset includes files for HELIOS++ (version 1.1.0)
This dataset includes files to reproduce HELIOS++ airborne laser scanning simulations of six 1-ha plots in temperate forests in south-western Germany. In addition, the real ALS data of the same plots is provided. Synthetic 3D representations of the plots were created based on forest inventory information. They were composed of real ULS point clouds of single trees, and, for comparison, simplified tree models with cylindrical stems and spheroidal crowns. This dataset includes all files required to run the HELIOS++ simulations, including the synthetic forest stand point clouds, soil layers, scene files, and survey files. The simulation output can then be compared to the real ALS data which is also provided.
Generating synthetic laser scanning data of forests by combining forest inventory information, a tree point cloud database and an open-source laser scanning simulator [Data to reproduce the ALS simulations]
We present the first high resolution measurements of pollutant trace gases in the Asian Summer Monsoon Upper Troposphere and Lowermost Stratosphere (UTLS) from the Gimballed Limb Observer for Radiance Imaging of the Atmosphere (GLORIA) during the StratoClim (Stratospheric and upper tropospheric processes for better climate predictions) campaign based in Kathamandu, Nepal, 2017. Measurements of peroxyacetyl nitrate (PAN), acetylene (C$_2$H$_2$), and formic acid (HCOOH) show strong local enhancements up to altitudes of 16 km. More than 500 pptv of PAN, more than 200 pptv of C$_2$H$_2$, and more than 200 pptv of HCOOH are observed.
GLORIA data for: Pollution trace gas distributions and their transport in the Asian monsoon upper troposphere and lowermost stratosphere during the StratoClim campaign 2017
:title = "Binned SO2 volume mixing ratio (vmr) profiles from MIPAS single retrievals combined with SO2 vmr profiles from MIPAS 10deg zonal and monthly mean spectra"; :institution = "Karlsruhe Institute of Technology - Institute of Meteorology and Climate Research"; :organization = "KIT/IMK-ASF"; :global_target_name = "SO2"; :source = "Satellite MIPAS on Envisat"; :type_of_data = "MEASUREMENTS"; :experiment = "MIPAS"; :platform = "SATELLITE"; :name_of_platform = "ENVISAT"; :data_version = "V5H_SO2_20,V5R_SO2_220,V5R_SO2_221,V5R_SO2_120 and MIPAS-E_IMK.2002-2012.SO2mean_1"; :institute = "KIT/IMK-ASF"; :address = "P.O.B. 3640, 76021 Karlsruhe, Germany"; :email = "michael.hoepfner@kit.edu"; :distribution_statement = "Please follow data policy instructions for the use of this data, to be found on the data distribution site."; :references = "Höpfner et al., 2013, https://doi.org/10.5194/acp-13-10405-2013; Höpfner et al., 2015, https://doi.org/10.5194/acp-15-7017-2015"; :file_creation_time = "2023-09-08T15:50:50.660086"; :file_modification_time = ""; :file_modification_description = ""; :description = "||<= 20 km: 60deglon/10deglat/5day binned profiles from MIPAS single retrieval (Höpfner et al., 2015) || >= 24 km: MIPAS zonal/monthly profiles from mean retrieval (Höpfner et al., 2013) || 21,22,23 km: linearly weighted transition from single to mean profiles"; :version = "v1"; :code_for_dataset_combination = "combine_so2_datasets.py";
Combined gridded stratospheric sulfur dioxide (SO2) dataset (v1) from MIPAS
Application of a Dynamic Pricing for Variant Manufacturing in Production Networks using Reinforcement Learning - Result Data
Learning to Understand Human Motion by Simulating Muscle Activations
Computer Vision for Human Computer Interactions Lab (cv:hci), Institute for Anthropomatics and Robotics (IAR), Karlsruhe Institute of Technology
Exploring the intricate dynamics between muscular and skeletal structures is pivotal for understanding human motion. However, acquiring ground truth muscle activation data is resource-intensive and results in a scarcity of datasets. The Muscles in Time (MinT) dataset aims to address this by introducing a large-scale synthetic muscle activation dataset. MinT is created by enriching existing motion capture datasets with muscle activation simulations from biomechanical models using the OpenSim platform, a widely accepted tool in biomechanics and human motion research. Neural networks designed for human motion understanding have historically relied on indirect data, like video or motion capture, similar to prisoners in Plato's cave who see only shadows rather than the true objects. Current systems, despite advances in capturing human motion, do not account for the complex inner mechanics—particularly the muscle activations driving human movement. These activations are key to understanding physical exertion and motion difficulty but are often overlooked due to the limitations of traditional data collection methods such as EMG. To overcome these challenges, our dataset, MinT, incorporates simulations that provide detailed muscle activation information. Starting from simple pose sequences, we extract fine-grained muscle activation timings and interactions within the human musculoskeletal system. MinT contains over nine hours of simulation data, covering 227 subjects and 402 muscle strands, offering a comprehensive and scalable resource for further research into human motion.
Please find additional information about this dataset and its usage under https://simplexsigil.github.io/mint
Processed micro-tomographic scan of the ant Gnamptogenys sulcata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
# General Information This repository contains research data contributing to the Advanced Materials Technologies publication "Multi-Photon 4D Printing of Complex Liquid Crystalline Microstructures by In Situ Alignment Using Electric Fields" by A. Münchinger, V. Hahn, D. Beutel, S. Woska, J. Monti, C. Rockstuhl, E. Blasco, M. Wegener In the following it is refered to the Figures and Supporting Movies of this publication. # Folder Structure ## CAD - Needed to machine the electrode holder. The file 'Baugruppe1_2' assembles all the parts. ## Experimental Data ### Figure 3 - Contains all optical microscope and SEM images of the structures depicted in Figure 3. ### Figure 4 - Bimaterial beams are connected to a cylindrical post (compare Figure 4) - The structure is heated within a heating stage - Contains all optical microscope and SEM images of the structures depicted in Figure 4 and Supporting Movie 1. - Contains all MATLAB scripts to generate Supporting Movie 1 - See the README.txt file for details ### Figure 5 - A buckling structure is heated in a heating stage - Contains videos recorded with an optical microscope of the structure - Contains the temperature data - Contains SEM images - Contains all MATLAB scripts to generate Figure 5 and Supporting Movie 2 from the data - See the README.txt file for details ### Figure S2 - DSC curves for the LCN ink were measured - Contains all measured DSC data - Contains all MATLAB scripts to generate Figure S2 - See the README.txt file for details ### Figure S6 - A thin membrane supported by a cylindrical post (compare Figure 3) is heated within a heating stage. - Contains videos recorded with an optical microscope of the structure - Contains the temperature data - Contains all MATLAB scripts to generate Figure S6 and Supporting Movie 3 from the data - See the README.txt file for details ### Supporting Movie 4 - The LCN ink inside a sandwich cell made from two coverslips is located in a heating stage. It is observed with a polarizing optical microscope while the polarizers are crossed - Contains all data to reproduce Supporting Movie 4 - Contains all MATLAB scripts to generate Supporting Movie 4 ## Simulation Data ### Electrostatic Simulations - Contains the COMSOL 5.5 files that generated the data depicted in Figure 1. - Contains the data depicted in Figure 1. - Contains all MATLAB scripts to generate Figure 1 from the data. - Contains all data depicted in Figure S3. - See the README.txt file for details ### Optical Simulations - Contains the simulation files to generate the data depicted in Figure 2. - Contains the data depicted in Figure 2. #### focusaniso - Contains the python scripts that simulated the optical field distribution within the LC ink. - Contains the resulting data - Contains the MATLAB scripts that generate Figure 2c and Figure 2d. - See the README.md file for details #### Power Ratios - Contains the MATHEMATICA notebook that was used to obtain analytical expressions for the transmission coefficients from an isotropic medium to a birefringent medium for a plane wave - Contains the MATLAB scripts that calculate the transmitted power of a focused gaussian beam - Contains the MATLAB scripts that generate Figure 2b. - See the README.txt file for details
Multi-Photon 4D Printing of Complex Liquid Crystalline Microstructures by In Situ Alignment Using Electric Fields
Processed micro-tomographic scan of the ant Mycetomoellerius sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Paraparatrechina weissi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Eciton vagans dubitatum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Dinomyrmex gigas, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Camponotus brutus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Laser-Flash-Apparatus: Netzsch LFA 457, InSb and HgCdTe IR Detectors Raw data on single crystal quartz thermal diffusivity are given as .csv data within the corresponding sample folders: "LT" refers to low temperature (-120 °C to 400 °C), "HT" to high temperature (25 °C to 800 °C) measurements. "_001" or "_100" of the folder and .csv file names denote the measured crystallographic direction, i.e. [100] (a-axis) and [001] (c-axis), respectively. All .csv data contain a header with information on the measurement followed by the data in columns "Time /ms" and "Detector /V". Thicknesses within the header information are given as room temperature (RT) thicknesses. They are approx. 2 mm for "HT1" specimens, approx. 4 mm and 4.7 mm for "HT2" specimens and approx. 10 mm for "Qz_cube" specimens. Information on the laser pulse used for the measurements can be found in the header information for the pulse power (e.g. "#Laser_voltage/V;1538,0") and filter settings that were used (e.g. "#Laser_filter/mm;100,0"). For finite pulse-time effect consideration[1], corresponding exemplary laser pulse profiles can be found in the folder "Laserpulse". [1] e.g., see: Breuer, S. and Schilling, F. R.: Improving Thermal Diffusivity Measurements by Including Detector Inherent Delayed Response in Laser Flash Method, Int J Thermophys, 40, 95, https://doi.org/10.1007/s10765-019-2562-9, 2019)
Quartz single crystal thermal diffusivity measurements by laser flash method: from -120 °C through the α-β phase transition to 800 °C
Processed micro-tomographic scan of the ant Dolichoderus quadripunctatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Aphaenogaster cf araneoides, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Strumigenys zeteki, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cephalotes atratus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tetramorium kraepelini, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Gesomyrmex sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Myrmica siciliana, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Karlsruhe Institute of Technology, legal affairs unit
This document contains an agreement between Karlsruhe Institute of Technology (KIT) and a partner institution regarding the transfer of chemical compounds through the Compound Platform (ComPlat). ComPlat is a non-commercial facility at KIT that focuses on the synthesis, collection, and reuse of chemical compounds. The agreement allows KIT scientists and external researchers to use the materials for non-commercial research purposes, following safety and storage guidelines. It defines the transfer process, material usage, and publication of results. The agreement serves as a contractual framework to regulate collaboration between the PROVIDER and KIT through ComPlat. It includes as an attachment the template under which Partner Institutions may order Compounds at KIT ComPlat.
Agreement on the Transfer of Materials via the Compound Platform (ComPlat)
The measurement mode was full-field and the data available here contains the recorded 2D projections, consisting of absorption contrast images. The data is saved in TIFF files each corresponding to one specific energy point and rotation angle. For a description of exact energy points and rotational angles used, see the corresponding publication. This dataset is measured under SCR conditions (1000 ppm NO, 1000 ppm NH3, 7.8% O2 in He as balance gas, flow rate 50 ml/min) at 300°C.
Full-Field XANES tomography data of a Cu-SSZ-13 washcoated monolith: SCR @ 300°C dataset
Processed micro-tomographic scan of the ant Neivamyrmex clavifemur, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tatuidris tatuisa, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tetramorium tsushimae, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Centromyrmex feae, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains FAIR records which describe the tribological experiment Copper under Variable Normal Load #0002, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Variable Normal Load n0002 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Processed micro-tomographic scan of the ant Dolichoderus cf bidens, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Aphaenogaster lepida, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Dorylus afrc-gh01, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The dataset contains UV/vis extinction (EXT) and reflection (REF) data of pure pigment layers (cyan, magenta, yellow) printed on a substrate (REF: high quality paper | EXT: overhead transparencies) by a commercial inkjet printer.
# General Information This dataset contains measurement series of spectral data. They all originated from a printing procedure that used inkjet dye of three base colors cyan, magenta and yellow to print individual layers on one of two different substrates. Afterwards, these print samples are analyzed by UV/vis spectroscopy. A sample is created by printing a predefined number of base color layers on top of each other. The designation CCMMYY signifies that, initially, a layer of cyan was printed on the substrate. In the next step, the sample was subjected to a drying process, after which a subsequent layer, in this instance, another layer of cyan, was printed on top. This process was repeated until the final layer, in this case yellow, was printed. There are two types of samples based on the measurement methodology and substrates used: ## 1. Extinction (EXT) **Substrate**: Coated polyester foil (CPF) (Avery Inkjet 2502, Avery Zweckform GmbH, Oberlaindern, Germany) **Measurement**: UV/vis extinction measurement between 380 nm and 800 nm and a spectral resolution of 0.423 nm with a UV/vis spectrometer (*Flame S-XR1*, Ocean Insight, Orlando, FL, USA) in combination with a deuterium-halogen light source (*DH-2000*, Ocean Insight, Orlando, FL, USA) ## 2. Reflection (REF) **Substrate**: High quality paper (HQP) (tecno superior, Inapa Deutschland GmbH, Hamburg, Germany) **Measurement**: UV/vis reflection measurement between 361 nm and 800 nm and a spectral resolution of 1 nm with a UV/vis-NIR spectrometer (*Cary 5000* , Agilent Technologies, Santa Clara CA, USA). # Detailed description of datasets ## Subset 1 - CMY - 4 Layers - EXT This subset is designated as *CMY-4L-P81-EXT*. In total, four color layers were printed on the CPF and then analyzed by UV/vis spectroscopy. All possible combinations were printed and analyzed, resulting in a total of 81 samples. The flag EXT indicates, that a UV/vis extinction measurement was conducted to generate the data of this subset. ## Subset 2 - CMY - 6 Layers - EXT This subset is designated as *CMY-6L-PM90-EXT*. In total, six color layers were printed on the CPF and then analyzed by UV/vis spectroscopy. A specific set of color combinations were printed and analyzed, resulting in a total of 90 samples. The flag EXT indicates, that a UV/vis extinction measurement was conducted to generate the data of this subset. ## Subset 2 - CMY - 6 Layers - REF This subset is designated as *CMY-6L-PM90-REF*. In total, six color layers were printed on the HQP and then analyzed by UV/vis spectroscopy. A specific set of color combinations were printed and analyzed, resulting in a total of 90 samples. The flag REF indicates, that a UV/vis reflection measurement was conducted to generate the data of this subset. # Data types All spectroscopic extinction data is published in the .xlsx (combined spreadsheet) and .npy (separate files) format.
UV/vis Extinction and Reflection Data of Layered Pigment-Dye-Substrate-Composites
Institut für Technik der Informationsverarbeitung (ITIV), Karlsruher Institut für Technologie (KIT)
Dieser Datensatz, gesammelt im Rahmen des CONFES-Systems (context-aware food and beverage preparation machine), umfasst Daten zu 884 Tassen Café Crème, die von 46 Teilnehmern zwischen dem 15. Juli 2024 und dem 27. September 2024 in zwei verschiedenen Arbeitsumgebungen konsumiert und bewertet wurden. Ziel des zugrundeliegenden Experiments ist es, Zusammenhänge zwischen der menschlichen Geschmackswahrnehmung, den Kaffeerezepten (mit besonderem Fokus auf die Coffee-to-Water-Ratio) und dem Umgebungskontext zu identifizieren. Erfasste Daten beinhalten die Coffee-to-Water-Ratio, die Kaffeemehlmenge, die Wassermenge, eine Gesamtbewertung des Kaffees sowie eine separate Intensitätsbewertung. Diese Informationen sollen dazu beitragen, die Rezepturen für Café Crème hinsichtlich Geschmack und Nachhaltigkeit zu optimieren. Der Datensatz bietet wertvolle Einblicke in das Zusammenspiel von Zubereitungsparametern und dem subjektiven Geschmackserlebnis unter verschiedenen Kontextbedingungen und kann für weitere Studien zur automatisierten Optimierung von Kaffeerezepten herangezogen werden.
Grundsätzlich kann die Variable "fbIntensity" als Bewertung gesehen werden, da diese beschreibt, ob der Kaffee "zu schwach", "optimal" oder "zu stark" war. Richtigerweise würde man beschrieben ob der Kaffee zu bitter oder sauer ist, allerdings macht das nur mit ausgebildeten Kaffeetrinkern Sinn, deshalb wurde eine einfachere Bewertungsmethode gewählt. Zu dieser Bewertung kann die Gesamtbewertung "fbGeneral" hinzugezogen werden, welche aus 4 Sternen besteht (1 Stern = schlecht, 2 Sterne = eher schlecht, 3 Sterne = eher gut, 4 Sterne = gut). Der "coffeeWaterRatio" errechnet sich indem man die Varibale "qtyCoffeePowder" (in Gramm) durch die Variable "qtyWater" (in Milliliter) teilt. Je größer dieser Wert ist, desto mehr Kaffeemehl wurde eingesetzt im Vergleich zur Wassermenge. Die unterschiedlichen Wassermengen der zubereiteten Tassen Kaffee resultieren durch unterschiedliche Gefäßgrößen an den zwei verschiedenen Experiment Standorten ("Experiment Location" - "A" und "B"). Zur Auswertung können Uhrzeiten in verschiedene Tagesabschnitte gruppiert werden (morgens, mittags, abends) um die Auswertung zu vereinfachen. Erläuterungen zu weiteren Variablen: Bewertung: "fbFlavor" = Bewertung des Geschmacks bzw. Aromas des Getränks "fbAppearance" = Bewertung des Aussehens des Getränks Getränkeabfrage: "addedSugar" = Wurde Zucker hinzugefügt? (ja/nein) "addedHotWater" = Wurde heißes Wasser hinzugefügt? (ja/nein) "addedCowMilk" / "addedPlantBasedMilk" = Wurde Milch/pflanzenbasierte Milch hinzugefügt? (ja/nein) Umgebungskontext / Wetterdaten: "temperature" = Außentemperatur "humidity" = Umgebungsluftfeuchte "precipitation" = Niederschlagsmenge "pressure" = Umgebungsdruck Persönlicher Kontext: "fatigue" = Wachzustand (tired - normal - hyper focused) "mood" = Stimmung (sad - normal - happy) "feltTemperature" = gefühlte Temperatur (cold - normal - hot) "stress" = Stresslevel (relaxed - normal - stressed) "priorIntake" = Abfrage ob 30min vor dem Kaffee etwas konsumiert wurde "drunkCoffeeinKitchen" = Abfrage ob Kaffee in Kaffeeküche getrunken wurde Persönliche Attribute: Sind Daten über den/die jeweilige Experimentteilnehmer*in: "age", "gender", "height", "weight", "isSmoker", "workoutperWeek", "hasAllergy", "diet", "sodaPerWeek"
This dataset, collected as part of the CONFES system (context-aware food and beverage preparation machine), contains data from 884 cups of Café Crème consumed and evaluated by 46 participants between July 15, 2024, and September 27, 2024, in two different work environments. The underlying experiment aims to explore the relationships between human taste perception, coffee recipes (with a primary focus on the coffee-to-water ratio), and the surrounding context. The data collected includes the coffee-to-water ratio, coffee grounds weight, water volume, an overall rating of the coffee, and a separate intensity rating. These insights are intended to help optimize Café Crème recipes in terms of both taste and sustainability. The dataset provides valuable information about the interaction between preparation parameters and subjective taste experience under varying contextual conditions, serving as a resource for further studies on automated coffee recipe optimization.
Context-aware Food and Beverage Preparation
Coffee Consumption and User Experience Dataset with Machine and Contextual Data
Processed micro-tomographic scan of the ant Ectatomma tuberculatum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Stigmatomma sakaii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tapinoma simrothi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Diese Software umfasst ein Python-Skript, das für die automatische Generierung mehrerer spezieller Druckseiten verwendet wird. Mittels Design of Experiments (DoE) generiert das Programm eine Liste aller möglichen Kombinationen der Grundfarben Cyan (C), Magenta (M) und Gelb (Y), die mit einer variabel einstellbaren Anzahl von Schichten übereinander gedruckt werden sollen. Die Farben der einzelnen Schichten werden dafür platzsparend auf mehrere Druckseiten verteilt.
This software includes a Python script that is used for the automatic generation of several special print pages. Using Design of Experiments (DoE), the program generates a list of all possible combinations of the basic colors cyan (C), magenta (M) and yellow (Y), which are to be printed on top of each other with a variably adjustable number of layers. The colors of the individual layers are distributed over several print pages to save space.
# General Information This Python script is used for the automatic generation of several special print pages. These print pages are combined to create a specific amount of samples. The description of there samples are as follows: The base colors of a commercial printer (Cyan (C), Magenta (M) and Yellow (Y)) are subsequently printed on top of each other. An example would be the sample CCMMYY where there are six layers in total and the base colors are layered from left to right. A graphical representation of there samples can be reviewed in the attached PDF document "concept_art_printing". # Background The print samples are designed to be analyzed in two US/vis spectroscopy setups. Samples that are analyzed by an UV/vis reflection measurement are bigger then samples analyzed in a UV/vis extinction setup. For each setup, a separate version of the script is published. The colors of the individual layers are distributed over several print pages to save space. To create a set of samples, a print page series must be printed (one by one) on a sheet of substrate with a DIN A4 form factor. The amount of print page series are tied to the layer count of the samples. This is because a full factorial DoE aims to generate all possible color combinations of C, M and Y for the set number of layers. # Additional package dependencies 1. numpy 2. matplotlib 3. pyDOE2
Python Program for generating Multi Layer CMYK Base Color Print Pages
Institut für Programmstrukturen und Datenorganisation (IPD), Karlsruher Institut für Technologie (KIT)
These are the experimental data for the paper> Bach, Jakob. "Finding Optimal Diverse Feature Sets with Alternative Feature Selection" published on [arXiv](https://arxiv.org/) in 2023. You can find the paper [here](https://doi.org/10.48550/arXiv.2307.11607) and the code [here](https://github.com/jakob-bach/alternative-feature-selection). See the `README` for details. The datasets used in our study (which we also provide here) originate from [PMLB](https://epistasislab.github.io/pmlb/). The corresponding [GitHub repository](https://github.com/EpistasisLab/pmlb) is MIT-licensed ((c) 2016 Epistasis Lab at UPenn). Please see the file `LICENSE` in the folder `datasets/` for the license text.
# Experimental Data for the Paper "Finding Optimal Diverse Feature Sets with Alternative Feature Selection" These are the experimental data for the paper> Bach, Jakob. "Finding Optimal Diverse Feature Sets with Alternative Feature Selection" published at [arXiv](https://arxiv.org/) in 2023. If we create multiple versions of this paper in the future, these experimental data will cover at least the first version. Check our [GitHub repository](https://github.com/Jakob-Bach/Alternative-Feature-Selection) for the code and instructions to reproduce the experiments. The data were obtained on a server with an `AMD EPYC 7551` CPU (32 physical cores, base clock of 2.0 GHz) and 128 GB RAM. The operating system was `Ubuntu 20.04.6 LTS`. The Python version was `3.8`. With this configuration, running the experimental pipeline (`run_experiments.py`) took about 255 h. The commit hash for the last run of the experimental pipeline (`run_experiments.py`) is [`2212360a32`](https://github.com/Jakob-Bach/Alternative-Feature-Selection/tree/2212360a320121862556bc8d54da45cb6dc8ee93). The commit hash for the last run of the evaluation pipeline (`run_evaluation.py`) is [`487b8ba04d`](https://github.com/Jakob-Bach/Alternative-Feature-Selection/tree/487b8ba04d513881be48fb2bc7b1c1dca416d122). We also tagged both commits (`run-2023-06-23` and `evaluation-2023-07-04`). The experimental data are stored in two folders, `datasets/` and `results/`. Further, the console output of `run_evaluation.py` is stored in `Evaluation_console_output.txt` (manually copied from the console to a file). In the following, we describe the structure and content of each data file. ## `datasets/` These are the input data for the experimental pipeline `run_experiments.py`, i.e., prediction datasets. The folder contains one overview file, one license file, and two files for each of the 30 datasets. The original datasets were downloaded from [PMLB](https://epistasislab.github.io/pmlb/) with the script `prepare_datasets.py`. Note that we do not own the copyright for these datasets. However, the [GitHub repository of PMLB](https://github.com/EpistasisLab/pmlb), which stores the original datasets, is MIT-licensed ((c) 2016 Epistasis Lab at UPenn). Thus, we include the file `LICENSE` from that repository. After downloading from `PMLB`, we split each dataset into the feature part (`_X.csv`) and the target part (`_y.csv`), which we save separately. Both files are CSVs only containing numeric values (categorical features are ordinally encoded in `PMLB`) except for the column names. There are no missing values. Each row corresponds to a data object (= instance, sample), and each column corresponds to a feature. The first line in each CSV contains the names of the features as strings; for `_y.csv` files, there is only one column, always named `target`. `_dataset_overview.csv` contains meta-data for the datasets, like the number of instances and features. ## `results/` These are the output data of the experimental pipeline in the form of CSVs, produced by the script `run_experiments.py`. `_results.csv` contains all results merged into one file and acts as input for the script `run_evaluation.py`. The remaining files are subsets of the results, as the experimental pipeline parallelizes over 30 datasets, 5 cross-validation folds, and 5 feature-selection methods. Thus, there are `30 * 5 * 5 = 750` files containing subsets of the results. Each row in a result file corresponds to one feature set. One can identify individual search runs for alternatives with a combination of multiple columns, i.e.: - dataset `dataset_name` - cross-validation fold `split_idx` - feature-selection method `fs_name` - search method `search_name` - objective aggregation `objective_agg` - feature-set size `k` - number of alternatives `num_alternatives` - dissimilarity threshold `tau_abs` The remaining columns mostly represent evaluation metrics. In detail, all result files contain the following columns: - `selected_idxs` (list of ints, e.g., `[0, 4, 5, 6, 8]`): The indices (starting from 0) of the selected features (i.e., columns in the dataset). Might also be an empty list, i.e., `[]` if no valid solution was found. In that case, the two `_objective` columns and the four `_mcc` columns contain a missing value (empty string). - `train_objective` (float in `[-1,1]`): The training-set objective value of the feature set. Three methods (FCBF, MI, Model Importance) have the range `[0,1]`, while two methods (mRMR, Greedy Wrapper) have the range `[-1,1]`. - `test_objective` (float in `[-1,1]` ): The test-set objective value of the feature set. - `optimization_time` (non-negative float): Time for alternative feature selection in seconds. For white-box feature-selection methods, this measures one solver call. In contrast, wrapper feature selection can call the solver multiple times, and we record the total runtime of the "Greedy Wrapper" algorithm. - `optimization_status` (int in `{0, 1, 2, 6}`): The status of the solver; for wrapper feature selection, this is only the status of the last solver call. - 0 = (proven as) optimal - 1 = feasible (valid solution, but might be suboptimal) - 2 = (proven as) infeasible - 6 = not solved (no valid solution found, but one might exist) - `decision_tree_train_mcc` (float in `[-1,1]`): Training-set prediction performance (in terms of Matthews Correlation Coefficient) of a decision tree trained with the selected features. - `decision_tree_test_mcc` (float in `[-1,1]`): Test-set prediction performance (in terms of Matthews Correlation Coefficient) of a decision tree trained with the selected features. - `random_forest_train_mcc` (float in `[-1,1]`): Training-set prediction performance (in terms of Matthews Correlation Coefficient) of a random forest trained with the selected features. - `random_forest_test_mcc` (float in `[-1,1]`): Test-set prediction performance (in terms of Matthews Correlation Coefficient) of a random forest trained with the selected features. - `k` (int in `{5, 10}`): The number of features to be selected. - `tau_abs` (int in `{1, ..., 10}`): The dissimilarity threshold for alternatives, corresponding to the absolute number of features (`k * tau`) that have to differ between feature sets. - `num_alternatives` (int in `{1, 2, 3, 4, 5, 10}`): The number of desired alternative feature sets, not counting the original (zeroth) feature set. A number from `{1, 2, 3, 4, 5}` for simultaneous search and always `10` for sequential search. - `objective_agg` (string, 2 different values): The name of the quality-aggregation function for alternatives (`min` or `sum`). Min-aggregation or sum-aggregation for simultaneous search but always sum-aggregation for sequential search. (In fact, sequential search only optimizes individual feature sets anyway, so the aggregation does not matter for the search.) - `search_name` (string, 2 different values): The name of the search method for alternatives (`search_sequentially` or `search_simultaneously`). - `fs_name` (string, 5 different values): The name of the feature-selection method (`FCBFSelector`, `MISelector`, `ModelImportanceSelector` (= Model Gain), `MRMRSelector`, or `GreedyWrapperSelector`). - `dataset_name` (string, 30 different values): The name of the `PMLB` dataset. - `n` (positive int): The number of features of the `PMLB` dataset. - `split_idx` (int in `[0,4]`): The index of the cross-validation fold. - `wrapper_iters` (int in `[1,1000]`): The number of iterations in case wrapper feature selection was used, missing value (empty string) in the other cases. This column does not exist in result files not containing wrapper results. You can easily read in any of the result files with `pandas`: ```python import pandas as pd results = pd.read_csv('results/_results.csv') ``` All result files are comma-separated and contain plain numbers and unquoted strings, apart from the column `selected_features` (which is quoted and represents lists of integers). The first line in each result file contains the column names. You can use the following code to make sure that lists of feature indices are treated as such (rather than strings): ```python import ast results['selected_idxs'] = results['selected_idxs'].apply(ast.literal_eval) ```
Experimental Data for the Paper "Finding Optimal Diverse Feature Sets with Alternative Feature Selection"
# 🔬️ Experiment Evaluation Python module for the evaluation of lab experiments. The module implements functions to import meta-data of measurements, filters to search for subsets of them and routines to import and plot data from this meta-data. It works well in its original context but is currently in open alpha since it will be restructured in order to be compatible with new lab environments. Examples of its usage in scientific works will soon be published by the author that can be used to reference it. Feel free to use it for your own projects and to ask questions. For now you can cite this repository as source. # 💻️ Installation You need a running python3 installation on your OS. The module was written on Debian/GNU-Linux, was tested on Windows and should also run on other OS. It is recommended to work in an virtual environment (see the official python documentation -> from bash: `python3 -m venv exp_env` `source exp_env/bin/activate`) or conda installation. ## Dependencies Dependencies are the usual scientific modules like numpy, matplotlib, pandas but also astropy. See the `requirements.txt` from that you should be able to install the library with ``` pip install pip -U # Update pip itself pip install -r /path/to/requirements.txt ``` Alternatively you can also install the required modules from the shell etc.. The author recommends to also install jupyter that includes the interactive ipython: ``` # Example via pip pip install jupyter pip install numpy pip install matplotlib pip install scipy pip install pandas pip install astropy pip install mplcursors pip install pynufft # pip install python-slugify # make sure this version of slugify is installed and not 'slugify' ``` ## The module itself Inside your virtual environment there is a folder `exp_env/lib/python3.../site-packages`. Place the file `experiment_evaluation.py` inside this folder (or a new sub-folder with all your personal scientific code) to make it accessible. From within your code (try it from an interactive ipython session) you should now be able to import it via: ``` import experiment_evaluation as ee # or from subfolder: import my_scientific_modules.experiment_evaluation as ee ``` ### Matplotlib style In order to use the fancy custom styles (for example for consistent looking graphs throughout your publication) it is advised to use matplotlib styles. For the provided styles, copy the custom styles "thesis_default.mplstyle" etc. from the folder `stylelib` inside your matplotlib library folder: `lib/python3.9/site-packages/matplotlib/mpl-data/stylelib/*.mplstyle` # 🧑‍💻 Usage A good way to learn its usage is to have a look at the [example](examples/example_experiment_evaluation.ipynb) file. But since the module is work in progress we first explain some concepts. ## ✨ Why meta-data? The module automates several steps of experiment evaluations. But the highlight is its capability to handle experimental meta-data. This enables the user to automatically choose and plot data with a question in mind (example: plot all EQE-curves at -2V and 173Hz) instead of repeatedly choosing files manually. For calculations that need more than one measurement this becomes extremely useful but also for implementing statistics. Meta data include things like experimental settings (applied voltage on a diode, time of the measurement, temperature etc.), the experimentalist and technical informations (file-format etc., manufacturer experimental device). The module includes some generic functions but to use it for your specific lab environment you might need to add experiment and plot specific functions. ## 💾️ How to save your experiment files? In general lab measurement files stem from different devices and export routines. So frankly speaking lab-data is often a mess! But to use automatic evaluation tools some sort of system to recognize the measurement-type and store the meta-data is needed. In an ideal world a lab would decide on one file format for all measurements and labels them systematically. To include different data-types and their meta-data within one file-type there exists the *.asdf (advanced scientific data format, see their [documentation](https://asdf.readthedocs.io/en/stable/index.html) for further insight). So if you are just starting with your PhD try to use this file format everywhere ;). Also to make experiments distinguishable every experiment needs an unique identifier. So you also should number every new experiment with an increasing number and the type of the experiment. Example of useful file naming for EQE measurements: `Nr783_EQE.asdf` In the case of my PhD I decided to use what I found: store the different file formats, store them in folders with the name of the experiment and include meta-data in the file-names (bad example: `EQE/Nr783_3volt_pix1.csv`). This was not the best idea (so learn from what I learned :P) To handle that mess, this module therefore implements also some regular-expressions to extract meta-data from file-names (`ee.meta_from_filename()`), but in general it is advised to store all meta-data in the file-header (with the exception of the unique identifier and experiment type). Like this you could store your files in whatever folder structure you like and still find them from within the script. The module then imports meta-data from the files into a database and you can do fancy data-science with your data! ## 📑️ Database For calculations and filtering of datasets the meta-data and data needs to be accessible in a machine readable form. For the time being the module imports all meta-data into a pandas DataFrame that represents our database (For very large datasets this would possibly be needed to be changed). For this we have to name the root folder that includes all experiment files/folders. **Hint**: If you did not follow the unique labeling/numbering for all your experiments you can still use this module by choosing a root folder that only includes the current experiment. ``` from pathlib import Path measurement_root_folder = Path("/home/PhD/Data/") ``` We can specify some pre-filtering for the specific experiment we want to evaluate: ``` # make use of the '/' operator to build OS independant paths measurement_folder = measurement_root_folder / "LaserLab" / "proximity-sensor" / "OPD-Lens" / "OPD-Lens_v2" # Define some pre-filter devices = [nr for nr in range(1035, 1043)] # Unique sample numbers of the experiment listed by list-comprehension explst = "Mervin Seiberlich" ``` Then we import the metadata into the pandas DataFrame database via `ee.list_measurements()` and call it *meta-table*: ``` meta_table = ee.list_measurements(measurement_root_folder, devices, experimentalist=explst, sort_by=["measurement_type", "nr", "pix", "v"]) ``` ### 💡️ Advanced note: Internally `ee.list_measurements()` uses custom functions to import the experiment specific meta-data. Have a look into the source-code and search for `read_meta` for an example how this works in detail. With the *.asdf file-format only the generalized import function would be needed. ## Import data and meta-data To import now some measurement data for plotting we use the information inside *meta_table* with custom import routines and python dictionaries implementing our filters: ``` # Distinguish between reference and other measurments lens = {"nr":devices[:5]} ref = {"nr":devices[5:]} # Select by bias and compare reference samples with lens (**dict unpacks the values to combine two or mor dictionaries) eqe_lens_0V = ee.import_eqe(meta_table, mask_dict={**lens, **{"v":0}}) eqe_ref_0V = ee.import_eqe(meta_table, mask_dict={**ref, **{"v":0}}) ``` This yields python lists `eqe_lens_0V = [table1, table2, ... tableN]` with the selected data ready for plotting (Lists are maybe not smart for huge dataset and some N-dimensional object can replace this in future). Note: The tables inside the list are [astropy.QTable()](https://docs.astropy.org/en/stable/table/index.html) objects including the data and meta-data, as well as units! So with this few lines of code you already did some advanced data filtering and import! ## 🌡️ Physical units The module astropy includes a submodule astropy.units. Since we deal with real world data, it is a good idea to also include units in calculations. ``` import astropy.units as u # Radius of one microlens: r = 98 * u.um ``` ## 📝️ Calculations If you have to repeatedly do some advanced calculations or fits for some plots, include them as functions in the source-code. An example would be `ee.pink_noise()` ## 📊️ Plots For plotting there exists many modules in python. Due to its grate power we use matplotlib. This comes with the cost of some complexity (definitely have a look at its [documentation!](https://matplotlib.org)). But this enables us for example to have a consistence color style, figure-size and text-size in large projects like a PhD-thesis: ``` mpl.style.use(["thesis_default", "thesis_talk"]) # We use style-sheets to set things like figure-size and text-size, see https://matplotlib.org/stable/tutorials/introductory/customizing.html#composing-styles w,h = plt.rcParams['figure.figsize'] # get the default size for figures to scale plots accordingly ``` In order to not invent the wheel over and over again it makes sense to wrap some plotting routines for each experiment inside some custom functions. For further detail see the [documentation/recommended function signature for matplotlib specialized functions](https://matplotlib.org/2.0.2/faq/usage_faq.html#coding-styles). This enables easy experiment-type specific plotting (even with statistics) once all functions are set up: ``` # %% plot eqe statistics fig, ax = plt.subplots(1,1, figsize=(w, h), layout="constrained") ee.plot_eqe(ax, eqe_lens_0V, statistics=True, color="tab:green", plot_type="EQE", marker=True, ncol=2) ee.plot_eqe(ax, eqe_ref_0V, statistics=True, color="tab:blue", plot_type="EQE", marker=True, ncol=2) ax.set_ylim(0,60) ax.legend(["Lens","$1\sigma - Lens$", "Reference", "$1\sigma - reference$"], loc="lower left", ncol=2) ``` Only 5 lines of code! For further details see the [example](examples/example_experiment_evaluation.ipynb) file! # 📖 FAQ 1. How do I get further information about the functions of the module? Use the doc-string! In jupyter-lab or ipython type for example `ee.plot_eqe?` to read more about the custom plot function for eqe measurements 2. How do I exclude some specific measurements (outliers, false_measurements)? Import functions now implement an `exclude` argument comprising a list of dictionarys to exclude specific data. ``` data_dark_pcbm_ref = ee.import_iV(meta_table, A=0.01*u.cm**2, mask_dict={"nr":PCBM, **pix}, exclude=[{"c":[25,150]}, {"solventOnly":True}]) ``` Sometimes it is helpful to only append single measurements by the += operator though. Here is an example: ``` data_ldr_0V = ee.import_ldr(meta_table, mask_dict={"nr":[1035, 1036, 1037, 1038, 1039, 1040, 1041], "v":0, "custompower":[0, 9.5]}) data_ldr_0V += ee.import_ldr(meta_table, mask_dict={"nr":1042, "pix":1, "v":0, "custompower":[0, 9.5]}) ``` # 👥️ Contributors and acknowledgment Many question were answered by searching through forums and the author is very thankful for the culture of openness in the FOSS community. A warm thank you goes to [Jyh-Miin Lin](https://github.com/jyhmiinlin) who provided a helpful example and explanations on how to use the excellent [pynufft](https://github.com/jyhmiinlin/pynufft) package for non-uniform FFT. # 💌️ License License: Copyright (C) 2022-2023 Mervin Seiberlich Author - Mervin Seiberlich This file is part of experiment_evaluation. experiment_evaluation is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. experiment_evaluation is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with experiment_evaluation. If not, see <https://www.gnu.org/licenses/>.
Python module for the evaluation of lab experiments. The module implements functions to import meta-data of measurements, filters to search for subsets of them and routines to import and plot data from this meta-data. It works well in its original context but is currently in open alpha since it will be restructured in order to be compatible with new lab environments.
IASI (Infrared Atmospheric Sounding Interferometer) is the core instrument of the currently three Metop satellites of EUMETSAT (European Organization for the Exploitation of Meteorological Satellites). The MUSICA IASI processing has been developed in the framework of the European Research Council project MUSICA (MUlti-platform remote Sensing of Isotopologues for investigating the Cycle of Atmospheric water). The MUSICA IASI processor performs an optimal estimation of the vertical distributions of H2O, the ratio HDO/H2O, N2O, CH4, and HNO3, and works with IASI radiances measured for cloud-free conditions in the spectral window between 1190 and 1400 cm-1. This data file encompasses the retrieval output (processing with version 3.2.1) for a total of 74 observations over the polar site of Sodankylä (67.4°N), the mid-latitudinal site of Lindenberg (52.2°N), and the tropical site of Manus Island (2.0°N). In addition to the variables of the standard output data files, this extended output data file contains detailed information on Jacobians and gain matrices. The extended output information can be used to assess the impact of different uncertainty sources, like surface emissivity or spectroscopic parameters, and different cloud types on the retrieval results, for the three different climate zones (polar, mid-latitudinal, tropical). The corresponding MUSICA IASI full retrieval product standard output is accessible via https://doi.org/10.35097/408 and the MUSICA IASI full retrieval and its extended and standard outputs are described in detail in Schneider et al. (2022, https://doi.org/10.5194/essd-14-709-2022).
Remote Sensing, Satellite, Metop, IASI, MUSICA, Atmospheric Composition, H2O, HDO, Water Vapour, Water Vapour Isotopologues, N2O, nitrous oxide, CH4, methane, HNO3, nitric acid, Jacobian matrix, Gain matrix
MUSICA IASI full retrieval product extended output (processing version 3.2.1)
Institut für Strömungsmechanik (ISTM), Karlsruher Institut für Technologie (KIT)
This dataset consists of raw and processed images obtained in droplet impingement experiments in a shadowgraphy method with additional color-coded glare points. The raw images are saved in the uncompressed file format .tif and processed images are saved as .png.
The present work introduces a deep learning approach for the three-dimensional reconstruction of the spatio-temporal dynamics of the gas-liquid interface on the basis of monocular images obtained via optical measurement techniques. The method is tested an evaluated at the example of liquid droplets impacting on structured solid substrates. The droplet dynamics are captured through high-speed imaging in an extended shadowgraphy setup with additional glare points from lateral light sources that encode further three-dimensional information of the gas-liquid interface in the images. A neural network is trained for the physically correct reconstruction of the droplet dynamics on a labelled dataset generated by synthetic image rendering on the basis of gas-liquid interface shapes obtained from direct numerical simulation. The employment of synthetic image rendering allows for the efficient generation of training data and circumvents the introduction of errors resulting from the inherent discrepancy of the droplet shapes between experiment and simulation. The accurate reconstruction of the three-dimensional shape of the gas-liquid interface during droplet impingement on the basis of images obtained in the experiment demonstrates the practicality of the presented approach. The introduction of glare points from lateral light sources in the experiments is shown to improve the reconstruction accuracy, which indicates that the neural network learns to leverage the additional three-dimensional information encoded in the images for a more accurate depth estimation. By the successful reconstruction of obscured areas in the input images, it is demonstrated that the neural network has the capability to learn a physically correct interpolation of missing data from the numerical simulation. Furthermore, the physically reasonable reconstruction of unknown gas-liquid interface shapes for drop impact regimes that were not contained in the training dataset indicates that the neural network learned a versatile model of the involved two-phase flow phenomena during droplet impingement.
Spatio-temporal reconstruction of droplet impingement dynamics by means of color-coded glare points and deep learning
This study presents parts of the research conducted within the DAMAST and DAMAST-Transfer projects, specifically focusing on rock mechanics tests at the KIT-Spartak and KIT-2 boreholes. Most analyses, including uniaxial compression tests to determine the rock density, unconfined compressive strength (UCS) and Young's modulus, were conducted by the Institute of Soil Mechanics and Rock Mechanics laboratory at KIT. More information on the DAMAST and DAMAST-Transfer project on https://www.damast-caucasus.de/. A project overview is also given in Niederhuber et al. (2024).
Federal Ministry of Education and Research
Rock Mechanics Parameters of Boreholes in the Vicinity of the Enguri High Arch Dam in Georgia
Physikalisches Institut (PHI), Karlsruher Institut für Technologie (KIT), Institut für QuantenMaterialien und Technologien (IQMT), Karlsruher Institut für Technologie (KIT)
This data was generated at KIT. Corresponding publication: https://arxiv.org/abs/2312.04211
Readout error mitigated quantum state tomography tested on superconducting qubits
This dataset contains FAIR records which describe the tribological experiment Copper under Variable Normal Load #0041, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Variable Normal Load n0041 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Institut für Wirtschaftsinformatik und Marketing (IISM), Karlsruher Institut für Technologie (KIT)
The data includes the sustainability reports for the DAX40 companies used in the study for the three years of the study period. Additionally, the description text from the official SDG website are included.
Reading Between the Green Lines: A Framework for Scalable Greenwashing Detection - Data Set
Numerical experiments to "A unified error analysis for nonlinear wave-type equations with application to acoustic boundary conditions" (Version 3)
Polymersome Project_Fluorescence response curves dataset.xlsx
Processed micro-tomographic scan of the ant Discothyrea sexarticulata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Discothyrea banna, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Prionopelta punctulata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Linepithema humile, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pheidole selathorax, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Release notes: https://git.scc.kit.edu/mpp/mpp/-/tags/3.1.3
Folder SEM_images includes all original SEM images, which are shown in the Paper. Folder FIB_images includes all FIB images of the Auto Slice and View procedure. HFW = 20.7µm Folder Dimenions and Shrinkage includes SEM images of investigated tetrahedral structures and corresponding table with dimensions and shrinkage calculation (pdf).
Architectural tunability of mechanical metamaterials in the nanometer range
Processed micro-tomographic scan of the ant Formica polyctena, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Colobopsis truncata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Mycetophylax morschi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Ponerinae sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Camponotus polyrhachiodes, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cephalotes duckei, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The database for the project "MERID - Mikrostruktureller Einfluss auf die Reservoirintegrität bei variablen hydromechanischen Druckbedingungen - Charakterisierung von porösen Reservoirsandsteinen zum Erstellen digitaler Gesteinsmodelle" contains the data of measurements and analyses of the Department of Structural Geology and Tectonics. The database contains all point-count results, measurements of porosity and permeability (up to 50 MPa confining pressure), and the measured geotechnical parameters of individual samples.
Die Datenbank zu "MERID - Mikrostruktureller Einfluss auf die Reservoirintegrität bei variablen hydromechanischen Druckbedingungen - Charakterisierung von porösen Reservoirsandsteinen zum Erstellen digitaler Gesteinsmodelle" enthält die erhobenen Daten aus Messungen und Analysen der Arbeitsgruppe Strukturgeologie und Tektonik. Enthaltene Daten sind die Point-Counting Ergebnisse, Messungen der Porosität und Permeabilität (bis 50 MPa Umgebungsdruck) und die gemessenen Geomechanischen Kennzahlen einzelner Proben.
Data may be used for individual non-commercial research projects without being altered or modified.
Datenbank zu MERID - Mikrostruktureller Einfluss auf die Reservoirintegrität bei variablen hydromechanischen Druckbedingungen - Charakterisierung von porösen Reservoirsandsteinen zum Erstellen digitaler Gesteinsmodelle
Tabletop Microplotter - Height Adjustment for Webcam Holder
Processed micro-tomographic scan of the ant Aphaenogaster exasperata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tetramorium nipponense, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Strumigenys hispida, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Gnamptogenys bicolor, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Leptogenys cf binghamii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Stenamma debile, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The data includes the main results from the 360° electron tomography work, images in format of jpeg and tif, and presentations in format of ppt.
Processed micro-tomographic scan of the ant Aenictus afrc-gh01, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Ectomomyrmex insulanus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Sericomyrmex cf parvulus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cephalotes placidus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Solenopsis sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Lasius cf flavus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tapinoma saohime, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Acropyga decedens, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This repository contains all data relevant for the PhD thesis "Spatio-Temporal Interface Reconstruction by Means of Glare Points and Deep Learning" by Maximilian Dreisbach that has not been previously published elsewhere. This includes image data from experiments and the weights of neural networks trained for the spatio-temporal reconstruction of the gas-liquid interface on the basis of this measurement data. In particular glare-point shadowgraphy experiments involving droplet impingement on patterned substrates and the respective trained networks can be found in this repository.
Spatio-Temporal Interface Reconstruction by Means of Glare Points and Deep Learning (research data)
Processed micro-tomographic scan of the ant Strumigenys petiolata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Strumigenys hirashimai, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tapinoma melanocephalum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Polyrhachis wolfi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tetramorium simillimum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Strumigenys stenorhina, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Camponotus cf fedtschenkoi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Mystrium camillae, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cardiocondyla venustula (globinodis form), scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
cardiocondyla venustula (globinodis form)
Processed micro-tomographic scan of the ant Tetramorium pullulum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains FAIR records which describe the tribological experiment Copper under Variable Normal Load #0007, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Variable Normal Load n0007 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Due to its high energy density, lithium metal is a promising electrode for future energy storage. However, its practical capacity, cyclability and safety heavily depend on controlling its reactivity in contact with liquid electrolytes, which leads to the formation of a solid electrolyte interphase (SEI). In particular, there is a lack of fundamental mechanistic understanding of how the electrolyte composition impacts the SEI formation and its governing processes. Here, we present an in-depth model-based analysis of the initial SEI formation on lithium metal in a carbonate-based electrolyte. Thereby we reach for significantly larger length and time scales than comparable molecular dynamic studies. Our multiscale kinetic Monte Carlo/continuum model shows a layered, mostly inorganic SEI consisting of LiF on top of Li2CO3 and Li after 1 µs. Its formation is traced back to a complex interplay of various electrolyte and salt decomposition processes. We further reveal that low local Li+ concentrations result in a more mosaic-like, partly organic SEI and that a faster passivation of the lithium metal surface can be achieved by increasing the salt concentration. Based on this we suggest design strategies for SEI on lithium metal and make an important step towards knowledge-driven SEI engineering.
The published source data file contains the underlying data of all figures of the manuscript and Supplementary Information of the publication “Knowledge-driven design of Solid-Electrolyte Interphases on lithium metal via multiscale modelling”. The source data of each figure is presented in a single sheet named after the corresponding figure. Legends are given if required. Please note that the source data of the kMC boxes is provided as xyz coordinates and that each species number corresponds to a chemical species (cf. legend). Numerical details: The kMC/continuum model was implemented in MATLAB R2021a and differential equations were solved with the ode15s solver. The calculations were performed on an i7-8000 CPU with 16 GB RAM. For detailed information on the modelling approach see the Method section in the manuscript and the Supplementary Information.
Knowledge-driven design of Solid-Electrolyte Interphases on lithium metal via multiscale modelling
This dataset includes files for HELIOS++ (version 1.0.7).
We combine forest inventory information, a tree point cloud database and the open-source laser scanning simulation framework HELIOS++ to generate synthetic laser scanning data of forests. Airborne laser scanning data of six 1-ha plots in temperate, central European forests was simulated and compared to real ALS data of these plots. The synthetic 3D representations of the forest stands were composed of real ALS point clouds of single trees, and, for comparison, simplified tree models with cylindrical stems and spheroidal crowns, both in form of penetrable point clouds and with an impenetrable surface. This dataset includes the HELIOS++ data files to reproduce the simulations: - the height normalized original ALS point clouds - the synthetic forest stand point clouds - soil layers - scene files - survey files
Generating synthetic laser scanning data of forests by combining inventory information, a tree point cloud database and an open-source laser scanning simulator [Data to reproduce simulations]
Processed micro-tomographic scan of the ant Nylanderia jaegerskioeldi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pheidole aberrans, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains FAIR records which describe the tribological experiment Copper under Variable Normal Load #0040, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Variable Normal Load n0040 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Processed micro-tomographic scan of the ant Tapinoma cf melanocephalum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Using Machine Learning Techniques in general and Deep Learning techniques in specific needs a certain amount of data often not available in large quantities in some technical domains. The manual inspection of Machine Tool Components, as well as the manual end of line check of products, are labour intensive tasks in industrial applications that often want to be automated by companies. To automate the classification processes and to develop reliable and robust Machine Learning based classification and wear prognostics models there is a need for real-world datasets to train and test models on.
The dataset contains 1104 channel 3 images with 394 image-annotations for the surface damage type “pitting”. The annotations made with the annotation tool labelme, are available in JSON format and hence convertible to VOC and COCO format. All images come from two BSD types. The dataset available for download is divided into two folders, data with all images as JPEG, label with all annotations, and saved_model with a baseline model. The authors also provide a python script to divide the data and labels into three different split types – train_test_split, which splits images into the same train and test data-split the authors used for the baseline model, wear_dev_split, which creates all 27 wear developments and type_split, which splits the data into the occurring BSD-types. One of the two mentioned BSD types is represented with 69 images and 55 different image-sizes. All images with this BSD type come either in a clean or soiled condition. The other BSD type is shown on 325 images with two image-sizes. Since all images of this type have been taken with continuous time the degree of soiling is evolving. Also, the dataset contains as above mentioned 27 pitting development sequences with every 69 images. Instruction dataset split The authors of this dataset provide 3 types of different dataset splits. To get the data split you have to run the python script split_dataset.py. Script inputs: split-type (mandatory) output directory (mandatory) Different split-types: train_test_split: splits dataset into train and test data (80%/20%) wear_dev_split: splits dataset into 27 wear-developments type_split: splits dataset into different BSD types Example: C:\Users\Desktop>python split_dataset.py --split_type=train_test_split --output_dir=BSD_split_folder Result: ./BSD_slit_folder/train/ and ./BSD_slit_folder/test/
Industrial Machine Tool Element Surface Defect Dataset
Data of study I and study III of the dissertation "The Gamification of Crowdsourcing Systems: Empirical Investigations and Design" by Benedikt Morschheuser 2017: DOI: 10.5445/IR/1000074115
Data Dissertation Morschheuser Study I and Study III
Processed micro-tomographic scan of the ant Kartidris ashima, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Eciton burchelli, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pheidole gertrudae, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Atta sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Hagensia havilandi marleyi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Acropyga guianensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Proatta sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains FAIR records which describe the tribological experiment Copper under Variable Normal Load #0006, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Variable Normal Load n0006 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Processed micro-tomographic scan of the ant Apomyrma stygia, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Aenictus ceylonicus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Lepisiota nigra, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pheidole ochracea, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pseudomyrmex triplarinus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Okinawa Institute of Science and Technology Graduate University
Neural network developed to segment ants from tomographic datasets acquired within the Antscan initiative (https://www.antscan.info), detailed in Katzke et al. 2025. This trained network is intended to be reused or retrained within the Biomedisa deep learning framework (https://github.com/biomedisa/).
Neural network for segmentation of ant tomograms
Release notes: https://git.scc.kit.edu/mpp/mpp/-/tags/3.1.5
Processed micro-tomographic scan of the ant Cephalotes minutus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Lophomyrmex sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tapinoma indicum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The file contains seismic station locations and amount of data collected during the temporary deployment.
Temporary deployment of 84 geophones 4.5Hz + datacube across the Antofagasta region in northern Chile to record the background seismicity in the area. The network operated for 8 months, from March to October 2020. Data will be available through the FDSN/EIDA service hosted at the GFZ-Potsdam. The waveform data is embargoed until 31.12.2024. FDSN network information can be found at DOI 10.7914/mc8r-ft72
Release notes: https://git.scc.kit.edu/mpp/mpp/-/tags/3.1.6
These are raw TEM data files, including EDX, SAD, and HRTEM, acquired in the .emd format. Velox software is required to view and analyze these files.
Transmission electron microscopy analysis
Processed micro-tomographic scan of the ant Technomyrmex andrei, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The measurement mode was full-field and the data available here contains the recorded 2D projections, consisting of absorption contrast images. The data is saved in TIFF files each corresponding to one specific energy point and rotation angle. For a description of exact energy points and rotational angles used, see the corresponding publication. This dataset is one reference measurement with 1000 ppm NH3 in He at 200 °C.
Full-Field XANES tomography data of a Cu-SSZ-13 washcoated monolith: NH3 @ 200°C dataset
ANDeS: An automated nanoliter droplet selection and collection device
Processed micro-tomographic scan of the ant Acanthostichus brevicornis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Crematogaster crinosa, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Crematogaster suehiro, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tetraponera merita, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The two folders comprise data of the photoreactor optimization and analysis reported in the linked article. The folder with the photoreactor optimization data comprises code and simulation results. The folder with the photoreactor analysis comprises simulation results and experimental results in the corresponding subfolders. The code is written in MATLAB. Reading and modifying the code requires a working MATLAB environment. Running the code may further require the MATLAB global optimization toolbox and the MATLAB parallel computing toolbox.
Solar-driven processes inspire hopes and dreams of a sustainable future on planet earth. However, the design and optimization of photoreactors for specific reaction systems is a complex task at the interface of material science and engineering. The objective of the design process is, thereby, to derive a photoreactor that provides both optimal operating conditions and a high efficiency of radiation transport. The published data set accompanies the publication ‘Low-cost photoreactors for highly photon/energy-efficient solar-driven synthesis’, DOI: XYZ. The referenced manuscript introduces reflective multi-pass photoreactors, an optimization strategy for such photoreactors, underlines the validity of the chosen approach by the experimental demonstration of a potassium iron(III) oxalate photoreduction, and lastly derives a concise design guideline that supports the adaptation to other reaction systems. The published dataset comprises the optical simulation environment, the optimization algorithm code, the simulation results, and experimental data presented in the manuscript.
Sonnengestützte Prozesse inspirieren Hoffnungen und Träume von einer nachhaltigen Zukunft auf dem Planeten Erde. Das Design und die Auslegung von Fotoreaktoren für spezifische Reaktionssysteme ist jedoch eine komplexe Aufgabe an der Schnittstelle zwischen Materialwissenschaften und Engineering. Die Zielstellung des Auslegungsprozesses ist es dabei stets einen Fotoreaktor zu entwerfen, der sowohl optimale Betriebsbedingungen als auch eine hohe Strahlungstransporteffizienz sicherstellt. Der Veröffentlichte Datensatz begleitet die Veröffentlichung ‘Low-cost photoreactors for highly photon/energy-efficient solar-driven synthesis’, DOI: XYZ. Die genannte Veröffentlichung führt dabei reflektionsbasierte multipassagen Fotoreaktoren und eine Optimierungsstrategie für solche Fotoreaktoren ein. Das Manuskript unterstreicht die Validität des Konzepts durch die experimentelle Demonstration einer Fotoreduktion von Kaliumeisen(III)oxalat und leitet zuletzt eine Designrichtlinie ab, die die Adaption des Fotoreaktors auf andere Reaktionssysteme erleichtert. Der veröffentlichte Datensatz umfasst die verwendete optische Simulationsumgebung, den Code des Optimierungsalgorithmus, Simulationsergebnisse und experimentelle Ergebnisse, die im referenzierten Manuskript dargestellt werden.
Low-cost photoreactors for highly photon/energy-efficient solar-driven synthesis: code, simulation data, and experimental data
In the following some data description is provided: - date format is dd/mm/yyyy - every transmission line is in one column: - data is given as follows "color / int W": int W indicates the amount of load in Watt [W] on the respective line, color indicates the ratio of load and thermal capacity limit: green: below 50 percent, yellow between 50 and 70 percent, red over 70 percent of the thermal capacity limit or grey if no data could be published
The data sets comprise hourly congestion data of the transmission system operator 50 Hertz from 2015 to 2017. 50 Hertz GmbH and TenneT GmbH are the TSOs in Germany, which suffer the most from congestion in their grids (96 % of German transmission grid congestion appears here). While other German TSOs do not publish their respective congestion data, 50 Hertz GmbH provides hourly values. The data is not preprocessed but merged into one file to allow faster analysis. This data is part of a larger data set on congestion in the German electricity grids from 2015 to 2017. The related datasets are referenced below. The publication of this data set was supported by the German Research Foundation (DFG) as part of the Research Training Group GRK 2153: Energy Status Data - Informatics Methods for its Collection, Analysis and Exploitation.
Processed micro-tomographic scan of the ant Dorymyrmex aff pyramicus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Apterostigma urichii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Lordomyrma dianale, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Leptogenys peuqueti, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Camponotus obscuripes, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pachycondyla sakishimensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The MobimaSkidroads, consists of 293 images captured while driving on a skid or forest road with an industrial camera mounted on a vehicle. The dataset is completely in 16:9 landscape format and includes mixed and coniferous forests in summer and winter. The dataset includes mask and bounding box annotations for the five object classes: - Stems (0): Trunks and cutted trees with a diameter of approx. ≥10 cm - Trees (1): Trees with a diameter of approx. ≥10 cm - Stumps (2): Tree stumps - Obstacles (3): Non-passable objects not being subject to any of the other groups (e.g. stones, raised hides, way signs) - Persons (4): Complete or partially visible humans
Processed micro-tomographic scan of the ant Ectatomma muticum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Raw data and optical as well as electron microscopy images for brass CuZn5, CuZn15 and CuZn36 study
This is raw data starting back from 2014. Some of the meta data might be found in internal IAM-CMS archives or lab notebooks
Single cell simulations of KCNQ1 mutants using human myocyte models. Use external/runAll.py to launch all simulations.
Single human myocyte simulations of KCNQ1 mutants (v1.0)
The folder includes a set of RapidMiner processes that allow the reconstruction of the analysis presented in the dissertation.
The data are the netcdf outputs from ICON-ART simulations. Except for interpolation from native ICON grid to Cartesian coordinates, no post-processing has been applied. Meta data of the variables are contained within the files. For scenarios 'REF', 'SEED', and 'TRGT', output is available hourly for a 24 hours period. Output for sensitivity studies is available only for simulation hour 24 in files 'DIA<X>_<Y>...'. With <X> referring to seeding aerosol diameter and numbers <Y> referring to seeding aerosol peak number concentrations in ascending order.
This dataset contains FAIR records which describe the tribological experiment Copper under Constant Normal Load #0008, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0008 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
This dataset contains FAIR records which describe the tribological experiment Copper under Constant Normal Load #0010, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0010 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Processed micro-tomographic scan of the ant Carebara trechideros, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains FAIR records which describe the tribological experiment Copper under Constant Normal Load #0015, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0015 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Simulated concentration data for birch pollen, birch SPP and hydrometeors and atmospheric variable (Part 16)
Simulated concentration data for birch pollen, birch SPP and hydrometeors and atmospheric variable (Part 5)
This dataset contains FAIR records which describe the tribological experiment Copper under Variable Normal Load #0025, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Variable Normal Load n0025 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Synchrotron X-ray microtomographic data of the fossil insect Protodeuterophlebia oosterbroeki preserved in Burmese amber (described in Krzemińska et al. 2024). To create this dataset, four tomograms were merged into a single volume, converted to 8 bits, and the gray values were inverted.
Micro-CT data of Protodeuterophlebia oosterbroeki
Rohdaten zur Publikation Automatic Adaptive Gain for Magnetic Resonance Sensitivity Enhancement DOI : 10.1021/acs.analchem.8b05148
Dataset to the publication 'Automatic Adaptive Gain for Magnetic Resonance Sensitivity Enhancement'
Simulation results tagged f05493 (see appendix A) generated using Inovesa (10.5281/zenodo.1243264). The data is usable utilizeing e.g. the scripts provided at https://github.com/Inovesa/examples.
This dataset contains FAIR records which describe the tribological experiment Copper under Constant Normal Load #0024, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0024 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
The download package includes a README.md file which contains installation instructions and instructions on how to use the provided scripts
This software package contains the implementation of the approximate inverse for 2D linear seismic imaging.
A microlocal and visual comparison of 2D Kirchhoff migration formulas - software package
Processed micro-tomographic scan of the ant Pseudomyrmex spinicola, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Lasius niger, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Colobopsis truncatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This program is intended to reproduce the results from the preprint "Improved error estimates for low-regularity integrators using space-time bounds" by Maximilian Ruff The program is tested with Windows 10 and Python 3.10 and the following version of its modules: numpy - 1.26.3 matplotlib - 3.5.1 tikzplotlib - 0.10.1 Figure 1 and Table 1: Run "run_schr.py" Parts of the code relies on code written by B. Dörich in https://doi.org/10.5445/IR/1000130189.
Numerical experiment to "Improved error estimates for low-regularity integrators using space-time bounds"
This document contains methodology and result of process simulations and techno-economic assessments of the Fischer-Tropsch crude and methanol production
Results of process simulation and techno-economic assessment of the Fischer-Tropsch and methanol synthesis
Processed micro-tomographic scan of the ant Crematogaster stollii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Temnothorax michali, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Instructions on how to use the data can be found within the repository.
The Vitruvius approach for consistency in view-based system development proposes a process and mechanisms for developing complex software and software-intensive systems by means of views that are kept consistent by explicit specifications of their dependencies. This repository provides the projects of the Vitruv framework (https://vitruv.tools), which implements that approach. It contains a prepared execution environment for the framework as well as case study projects. In addition, it provides a script to run the environment and automatically resolve all dependencies based on Docker. The repository was created to be used as a reproduction package for the evaluation of the article "Enabling consistency in view-based system development - The Vitruvius approach" by Klare et al., published in "The Journal of Systems & Software".
Reproduction Package for Evaluating the Vitruvius Approach
Datensatz zu der Publikation "Topology optimization on two-dimensional manifolds". DOI: 10.1016/j.cma.2020.112937
Dataset to the publication 'Topology optimization on two-dimensional manifolds'
Processed micro-tomographic scan of the ant Loboponera afrc-gh01, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Strumigenys circothrix, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Bothroponera fugax, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant OUTGROUP_Pompilidae sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Temnothorax xanthos, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Anochetus altisquamis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Messor barbarus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Catalytic testing, DRIFTS, XAS and HERFD-XAS data. XAS and HERFD-XAS data can be processed in the Fastosh or Athena/Artemis software. DRIFTS and light-off curves are best visualized with the Origin software. Reference spectra are additionally provided in the RefXAS database in agreement with the FAIR data principles. For more information on RefXAS see https://doi.org/10.1107/S1600577524006751
Complementary and Spatially Resolved Operando Spectroscopic Investigation of Pt/Al2O3 and Pt/CeO2 Catalysts during CO/NO Conversion - Raw data
Karlsruhe Institute of Technology KIT, Germany
a fast python package for mie scattering and backscattering calculations of single particles, coated particles and log-normal distributed particles
Processed micro-tomographic scan of the ant Gnamptogenys reinchenspergeri, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains FAIR records which describe the tribological experiment Copper under Constant Normal Load #0025, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0025 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
main manuscript, figures, and data underlying the plots
Data for "In-situ diagnostics and role of light-induced forces in metal laser nanoprinting"
Processed micro-tomographic scan of the ant Dorymyrmex sp insanus group, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Fakultät für Bauingenieur-, Geo- und Umweltwissenschaften (BGU), Karlsruher Institut für Technologie (KIT), Institut für Photogrammetrie und Fernerkundung (IPF), Karlsruher Institut für Technologie (KIT)
Institut für Photogrammetrie und Fernerkundung (IPF), Karlsruher Institut für Technologie (KIT)
This dataset is formatted as a GeoPackage (.gpkg) and contains a layer named "prediction". It is set within the ETRS89 / UTM Zone32N coordinate reference system (EPSG code specified). The dataset includes two key attributes: (a) "id" as a unique identifier for each feature, and (b) the "prediction_class". The latter attribute indicates the area's suitability, with a classification of 0 for unsuitable and 1 for suitable. This information is helpful for various applications, including environmental studies and land utilization strategies. Besides, a QGIS style layer is given "prediction_parking_pv_hesse.qml". This file is designed to visually distinguish between parking lots classified as suitable and unsuitable for PV canopy installations in the dataset "prediction_parking_pv_hesse.gpkg". The symbology is defined as follows: class 0 (unsuitable): Red fill, and class 1 (suitable): Green fill. The style enhances the readability for map viewers and supports the quick visual interpretation of suitability categories. It can be directly applied to the prediction layer in QGIS for consistent thematic mapping.
This dataset provides a geospatial classification of large parking lots (greater than 900 m²) in the federal state of Hesse, Germany, evaluating their suitability for photovoltaic (PV) installations. The parking lot geometries were derived from two authoritative and open sources: the Authoritative Topographic-Cartographic Information System (ATKIS) and OpenStreetMap (OSM). Duplicates were removed, and the geometries were trimmed to match the boundaries of Hesse. Parking lots smaller than 900 m² were excluded to align with current policy guidelines and technical feasibility thresholds for PV canopy installations. Each parking lot was classified into one of two categories employing machine learning. Class 0 indicates parking lots unsuitable for PV, while Class 1 designates those suitable for PV installations. The classification utilized an XGBoost model trained on more than 1,000 manually labeled parking lots using various input features.
Benchmark Dataset for "Industrial Demand-Side Flexibility: A Benchmark Data Set" ====================================================== The archive on hand contains a set of benchmark instances for time-flexible industrial processes, with regard to power demand. It also includes some auxiliary data, such as baseline solutions to the instances as well as some intermediate data that the instances were generated from. Instances --------- The instances can be found in the 'instances' subfolder. Every JSON file contains one instance. See the 'instance_file_format.{md, html, pdf}' files for a specification of the file format. The file format is suitable to be used with the TCPSPSuite optimization software [2]. In [1], Section 4, we list various parameters that influence the generation of instances. The parameter settings that were active for each instance are stored in the **additional** field of the instance. For example, the `generator__window_mean` key in the **additional** field specifies the window growth mean parameter. Also, we performed a grouped generation of instances, as explained in Section 4.1 of [1], meaning for every instance with `generator__block_count` of k, there are other instances with different values for `generator__block_count`, such that there is a one-to-one correspondence between their jobs. Each such group has a unique `group_id` in the **additional** field. To identify which jobs correspond to each other across instances in the same group, the `superjob_id` key in the **additional** field of each job can be used. For instances with `generator__block_count` of more than 1, all blocks (i.e., jobs) of the same job will have the same `superjob_id`, thus the `superjob_id` can also be used to identify which jobs are the blocks of the same non-constant job. Baseline Results ---------------- In the 'results' subfolder, we provide the solutions that we were able to compute on all instances. The file 'results/results.csv' lists the numeric results, one line per instance. We report the quality of the best found solution as well as the best lower bound, and computed from that the MIP gap. In the 'results/solutions' subfolder, the actual schedules computed for each instance are included. The file format is the same as the instance file format, with some fields stripped out, and an additional **start_time** field for each job that reports the start time for the respective job. Occurrence Block Decomposition ------------------------------ In 'decompositions/decompositions.csv', you find the decompositions of the motif occurrences we detected. Unfortunately, we are not able to publish the raw time series data itself. However, a subset of the raw input data (without discovered motifs) is available as the HIPE data set [3][4]. The decomposition file format is as follows: Every line corresponds to one occurrence. The first column specifies the motif that the occurrence belongs to. The second column indicates the start time with minute resoulution, i.e., "600" would be a start at 10 a.m. The remaining columns are titled "Energy A / B" or "Duration A / B". Each such columns specifies the amount of energy resp. the duration of the Ath block in a decomposition into B blocks of the occurrence. E.g., "Energy 3 / 6" would indicate the amount of energy consumed during the third block in a six-block decomposition of the corresponding occurrence. References ---------- [1] Nicole Ludwig, Lukas Barth, Dorothea Wagner, and Veit Hagenmeyer. 2019. Industrial Demand-Side Flexibility: A Benchmark Data Set. In Proceedings of ACM e-Energy (e-Energy ’19). ACM, New York, NY, USA. [2] https://github.com/kit-algo/TCPSPSuite [3] Simon Bischof, Holger Trittenbach, Michael Vollmer, Dominik Werle, Thomas Blank, and Klemens Böhm. 2018. HIPE – an Energy-Status-Data Set from Industrial Production. In Proceedings of ACM e-Energy (e-Energy ’18). ACM, New York, NY, USA, 5 pages. https://doi.org/10.1145/3208903.3210278 [4] https://www.energystatusdata.kit.edu/hipe.php
Benchmark Dataset for "Industrial Demand-Side Flexibility: A Benchmark Data Set"
# GREED - GeRman Energy and Environment Document Corpus for Geoparsing and Time Expression Normalization Tasks This dataset contains scientific texts with rich linguistic or structural annotations for research purposes. It is designed to support tasks such as natural language processing, information extraction, and corpus linguistics. ## Contents The dataset consists of two main components: 1. **Text Content** Excerpts or full text passages from scientific publications. These were included with explicit permission from the respective authors or rights holders. The following table lists the included files and the corresponding source information: | File Name | Title | Authors | Link | |-----------|-------|---------|------| | `10200-Klimaleitplanken_2.0` | * Klimazukunft Baden-Württemberg - Was uns ohne effektiven Klimaschutz erwartet! * | Dr. Kai Höpker, Dr. Sabrina Plegnière (LUBW) | [Link]( https://pd.lubw.de/10200) | | `10506-Landesweite_Brutbestandserfassung_2022_im_Auftrag_der_LUBW_-_Landesanstalt_für_Umwelt_Baden-Württemb.tml` | * Der Kormoran (Phalacrocorax carbo) in Baden-Württemberg 2022 * | Ornithologische Gesellschaft Baden-Württemberg | [Link]( https://pd.lubw.de/10506) | | `10274-Sondermessungen_2020_Abschlussbericht.tml` | * Verkehrsnahe Sondermessungen 2020 in Baden-Württemberg * | LUBW Refarat 33 | [Link]( https://pd.lubw.de/10274) | | `10199-Immissionsbelastung_für_Baden-Württemberg_2016_-_2025.tml` | * Flächendeckende Ermittlung der Immissionsbelastung für Baden-Württemberg 2016 und Prognose für 2025 * | LUBW Refarat 33 | [Link]( https://pd.lubw.de/10199) | | `Grundwasser-Überwachungsprogramm - 2022.tml` | * Grundwasser-Überwachungsprogramm 2022 * | LUBW Referat 42 | [Link]( https://pd.lubw.de/10597) | | `10582-Zahlen_und_Fakten_zum_Stand_der_Altlastenbearbeitung_in_Baden-Württemberg.tml` | * Altlastenstatistik 2022 * | Jochen Stark, Alicia Graf | [Link]( https://pd.lubw.de/10582) | | `82479-Untersuchungen_unter_Verwendung_des_Programms_ARTM_(Atmosphärisches_Radionuklid-Transport-Modell).tml` | * ABR-ARTM - Untersuchung zur Langzeitausbreitung von radioaktiven Schadstoffen an den Standorten von Atomkraftwerken in Baden-Württemberg * | Walter Scheuermann, Andreas Piater, Christoph Krass, Herbert Pohl | [Link]( https://pd.lubw.de/82479) | | `95109-Leitfaden` | *Überwachung von industriellen Abwasseranlagen und -einleitungen* | LUBW | [Link]( https://pd.lubw.de/95109 ) | | `Anlage 4 der V813-2023_Abschlussbereicht.tml` | * V813/2023 ANLAGE 4: ABSCHLUSSBERICHT * | Stadt Mannheim, MVV Regioplan | [Link](https://www.mannheim.de/sites/default/files/2024-03/Anlage%204%20der%20V813-2023_Abschlussbereicht.pdf) | | `Kommunale_Waermeplanung_Beschlussvorlage.tml` | *Kommunale Wärmeplanung für München * | Referat für Klima- und Umweltschutz und Referat für Arbeit und Wirtschaft | [Link]( Beschluss der Vollversammlung des Münchner Stadtrats vom 15.5.2024, München) | | `01_2024_uib_energieeffiziente_mobilitaet.tml` | * Beschäftigung durch energieeffiziente Mobilität - Methodik der Ermittlung und Ergebnisse für das Jahr 2019 * | Luisa Sievers, Anna Grimm | [Link]( https://www.umweltbundesamt.de/sites/default/files/medien/11850/publikationen/01_2024_uib_energieeffiziente_mobilitaet.pdf) | | `333_LF_Urbansky.tml` | * Untersuchung der Verteilnetzbelastung bei Proaktivem Energy-Sharing nach Österreichischem Vorbild * | Julian Urbansky, Lennart Schürmann | [Link]( https://www.researchgate.net/publication/380376111_Untersuchung_der_Verteilnetzbelastung_bei_Proaktivem_Energy-Sharing_nach_Osterreichischem_Vorbild ) | | `Innovative_Technologien_Gebäudebereich_EWB.tml` | *Innovative Technologien im Gebäudebereich der Forschungsinitiative ENERGIEWENDEBAUEN* | Jessica Preuss, Heike Erhorn-Kluttig | [Link](https://publica.fraunhofer.de/entities/publication/cbca8246-0337-4700-90d1-8ce7fb1259c2) | | `05_2024_cc_dekarblnd_tb1.tml` | *Dekarbonisierung der industriellen Produktion (DekarbInd) AP 1: Ganzheitliches Bewertungsschema für Technologien* | Peter Viebahn, Dietmar Schüwer, Georg Holtz, Andreas Pastowski, Jacqueline Klingen, Sören Steger, Ali Aydemir | [Link](https://www.umweltbundesamt.de/publikationen/dekarbonisierung-der-industriellen-produktion) | | `1436-4980-2024-01-02-11.tml` | *Effizienzsteigerung durch Energiemanagementsysteme* | Laura Jung, Kerim Torolsan, Artur Gergert, Felix Förster, Alexander Sauer | [Link](https://publica.fraunhofer.de/entities/publication/93f2de91-6881-4ab2-bae6-6e1a9246f8af) | | `Wärmeplanung_Augsburg_Infoblatt_Jan2024` | *Hinweise zur Wärmeplanung und zum Fernwärmeausbau im Stadtgebiet Augsburg (Stand Januar 2024)* | Stadt Augsburg, Umweltamt | [Link](https://www.augsburg.de/fileadmin/user_upload/umwelt_soziales/umwelt/klima%20und%20energie/W%C3%A4rmeplanung_Augsburg_Infoblatt_Jan2024.pdf) | | `2024-04-05_Endbericht_kommunale_Wärmeplanung_Stadt_Pforzheim_nach__7_Klimaschutzgesetz_Baden-Württemberg.tml` | *Kommunale Wärmeplanung der Stadt Pforzheim* | Stadt Pforzheim, Amt für Umweltschutz | [Link](https://www.klimaschutz-pforzheim.de/fileadmin/user_upload/umwelt/klimaschutz/waermeplanung/2024-04-05_Endbericht_kommunale_W%C3%A4rmeplanung_Stadt_Pforzheim_nach__7_Klimaschutzgesetz_Baden-W%C3%BCrttemberg.pdf) | | `Bericht_zur_kommunalen_Waermeplanung.tml` | *Kommunale Wärmeplanung Für die Stadt Offenburg* | Stadt Offenburg | [Link](https://www.offenburg-klimaschutz.de/fileadmin/redakteur/Waermeplanung/Bericht_kommunale_Waermeplanung.pdf) | | `10598-Archewiesen_-_Saatgutgewinnung.tml` | *„Archewiesen“ Ein Projekt zur Erhaltung des artenreichen Grünlands in Baden-Württemberg* | LUBW Referat 56 | [Link](https://pd.lubw.de/10598) | | `Auf zu neuen Wegen – gemeinschaftlich und nachhaltig wirtschaften!_2022.tml` | *Auf zu neuen Wegen – gemeinschaftlich und nachhaltig wirtschaften!* | Binta Bah, Gerd Oelsner | [Link](https://pd.lubw.de/10442) | ⚠️ **The individuals and institutions listed here are the copyright holders of the corresponding documents.** The text content is used with their permission and **may only be used for non-commercial, scientific purposes**. 2. **Annotations** Metadata, structural, or linguistic annotations created manually or semi-automatically, intended to support various forms of scientific analysis. ## License ### Annotations All annotations and the dataset structure are licensed under the **Creative Commons Attribution 4.0 International License (CC BY 4.0)**. You are free to use, modify, and redistribute the annotations — including for commercial purposes — provided that appropriate credit is given.🔗 [CC BY 4.0 Summary](https://creativecommons.org/licenses/by/4.0/) ### Text Content The original text content is **copyrighted** and included **with permission** from the respective authors or publishers. It is made available **exclusively for non-commercial, scientific use**. - ✅ Permitted: Academic research, teaching, citation in scientific publications. - ❌ Not permitted: Commercial use, redistribution of raw text content outside of research settings, or adaptation beyond scholarly work. For more details, refer to the `LICENSE.txt` file. ## Author and Contact Information: - Institution: Karlsruhe Institute of Technology (KIT), Institute for Automation and Applied Informatics (IAI) - Main Author: Nicolas Doms, ndoms716@gmail.com - Authors: Toni Golian, Ruidie Hu - Principle Investigator: Thorsten Schlachter, thorsten.schlachter@kit.edu ## Version and Date of Publication - Version: 1.0 - Date: 2025-04-08 ## Disclaimer This dataset is provided "as is" without warranty. The authors are not responsible for any misuse of the content. Users must ensure compliance with the licensing terms when distributing or using the dataset. ## TagCombiner.py Text content and annotations are delivered separately in this dataset to ensure a clear separation with regard to the license. This dataset includes a Python file named TagCombiner.py. This simple code merges the tags from the "Tags" directory into the raw text data in the "Raw" directory. The resulting files have the annotations in-line and can be used for the evaluation of machine learning models.
GREED - GeRman Energy and Environment Document Corpus for Geoparsing and Time Expression Normalization Tasks
Computational Materials Science (IAM-CMS), Karlsruher Institut für Technologie (KIT)
# Experimental Data for the Paper "An Empirical Evaluation of Constrained Feature Selection" These are the experimental data for the paper> Bach, Jakob, et al. "An Empirical Evaluation of Constrained Feature Selection" accepted at the journal [*SN Computer Science*](https://www.springer.com/journal/42979). Check our [GitHub repository](https://github.com/Jakob-Bach/Constrained-Filter-Feature-Selection) for the code and instructions to reproduce the experiments. The data were obtained on a server with an `AMD EPYC 7551` [CPU](https://www.amd.com/en/products/cpu/amd-epyc-7551) (32 physical cores, base clock of 2.0 GHz) and 128 GB RAM. The Python version was `3.8`. Our paper contains two studies, and we provide data for both of them. Running the experimental pipeline for the study with synthetic constraints (`syn_pipeline.py`) took several hours. The commit hash for the last run of this pipeline is [`acc34cf5d2`](https://github.com/Jakob-Bach/Constrained-Filter-Feature-Selection/tree/acc34cf5d22b0a8427852a01288bb8b34f5d8c98). The commit hash for the last run of the corresponding evaluation (`syn_evaluation.py`) is [`c1a7e7e99e`](https://github.com/Jakob-Bach/Constrained-Filter-Feature-Selection/tree/c1a7e7e99e56c1a178a602596c13641d7771df0a). Running the experimental pipeline for the case study in materials science (`ms_pipeline.py`) took less than one hour. The commit hash for the last run of this pipeline is [`ba30bf9f11`](https://github.com/Jakob-Bach/Constrained-Filter-Feature-Selection/tree/ba30bf9f11703e2a8a942425e2cd4b9f36ead513). The commit hash for the last run of the corresponding evaluation (`ms_evaluation.py`) is [`c1a7e7e99e`](https://github.com/Jakob-Bach/Constrained-Filter-Feature-Selection/tree/c1a7e7e99e56c1a178a602596c13641d7771df0a). All these commits are also tagged. In the following, we describe the structure/content of each data file. All files are plain CSVs, so you can read them with `pandas.read_csv()`. ## `ms/` The input data for the case study in materials science (`ms_pipeline.py`). Output of the script `prepare_ms_dataset.py`. As the raw simulation dataset is quite large, we only provide a pre-processed version of it (we do not provide the input to `prepare_ms_dataset.py`). In this pre-processed version, the feature and target parts of the data are already separated into two files: `voxel_data_predict_glissile_X.csv` and `voxel_data_predict_glissile_y.csv`. In `voxel_data_predict_glissile_X.csv`, each column is a numeric feature. `voxel_data_predict_glissile_y.csv` only contains one column, the numeric prediction target (reaction density of glissile reactions). ## `ms-results/` Only contains one result file (`results.csv`) for the case study in materials science. Output of the script `ms_pipeline.py`, input to the script `ms_evaluation.py`. The columns of the file mostly correspond to evaluation metrics used in the paper; see Appendix A.1 for definitions of the latter. - `objective_value` (float): Objective `Q(s, X, y)`, the sum of the qualities of the selected features. - `num_selected` (int): `n_{se}`, the number of selected features. - `selected` (string, but actually a list of strings): Names of the selected features. - `num_variables` (int): `n`, the total number of features in the dataset. - `num_constrained_variables` (int): `n_{cf}`, the number of features involved in constraints. - `num_unique_constrained_variables` (int): `n_{ucf}`, the number of unique features involved in constraints. - `num_constraints` (int): `n_{co}`, the number of constraints. - `frac_solutions` (float): `n_{so}^{norm}`, the number of valid (regarding constraints) feature sets relative to the total number of feature sets. - `linear-regression_train_r2` (float): `R^2` (coefficient of determination) for linear-regression models, trained with the selected features, predicting on the training set. - `linear-regression_test_r2` (float): `R^2` (coefficient of determination) for linear-regression models, trained with the selected features, predicting on the test set. - `regression-tree_train_r2` (float): `R^2` (coefficient of determination) for regression-tree models, trained with the selected features, predicting on the training set. - `regression-tree_test_r2` (float): `R^2` (coefficient of determination) for regression-tree models, trained with the selected features, predicting on the test set. - `xgb-linear_train_r2` (float): `R^2` (coefficient of determination) for linear XGBoost models, trained with the selected features, predicting on the training set. - `xgb-linear_test_r2` (float): `R^2` (coefficient of determination) for linear XGBoost models, trained with the selected features, predicting on the test set. - `xgb-tree_train_r2` (float): `R^2` (coefficient of determination) for tree-based XGBoost models, trained with the selected features, predicting on the training set. - `xgb-tree_test_r2` (float): `R^2` (coefficient of determination) for tree-based XGBoost models, trained with the selected features, predicting on the test set. - `evaluation_time` (float): Runtime (in s) for evaluating one set of constraints. - `split_idx` (int): Index of the cross-validation fold. - `quality_name` (string): Measure for feature quality (absolute correlation or mutual information). - `constraint_name` (string): Name of the constraint type (see paper). - `dataset_name` (string): Name of the dataset. ## `openml/` The input data for the study with synthetic constraints (`syn_pipeline.py`). Output of the script `prepare_openml_datasets.py`. We downloaded 35 datasets from [OpenML](https://www.openml.org) and removed non-numeric columns. Also, we separated the feature part (`*_X.csv`) and the target part (`*_y.csv`) of each dataset. `_data_overview.csv` contains meta-data for the datasets, including dataset id, dataset version, and uploader. **Licensing** Please consult each dataset's website on [OpenML](https://www.openml.org) for licensing information and citation requests. According to OpenML's [terms](https://www.openml.org/terms), OpenML datasets fall under the [CC-BY](https://creativecommons.org/licenses/by/4.0/) license. The datasets used in our study were uploaded by: - Jan van Rijn (user id: 1) - Joaquin Vanschoren (user id: 2) - Rafael Gomes Mantovani (user id: 64) - Tobias Kuehn (user id: 94) - Richard Ooms (user id: 8684) - R P (user id: 15317) See `_data_overview.csv` to match each dataset to its uploader. ## `openml-results/` Result files for the study with synthetic constraints. Output of the script `syn_pipeline.py`, input to the script `syn_evaluation.py`. One result file for each combination of the 10 constraint generators and the 35 datasets, plus one overall (merged) file, `results.csv`. The columns of the result files are the those of `ms-results/results.csv`, minus `selected` and `evaluation_time`; see above for detailed descriptions.
These are the experimental data for the paper> Bach, Jakob, et al. "An Empirical Evaluation of Constrained Feature Selection" published at the journal [*SN Computer Science*](https://www.springer.com/journal/42979). You can find the paper [here](https://doi.org/10.1007/s42979-022-01338-z) and the code [here](https://github.com/Jakob-Bach/Constrained-Filter-Feature-Selection). See the `README` for details. Some of the datasets used in our study (which we also provide here) originate from [OpenML](https://www.openml.org) and are CC-BY-licensed. Please see the paragraph `Licensing` in the `README` for details, e.g., on the authors of these datasets.
Experimental Data for the Paper ''An Empirical Evaluation of Constrained Feature Selection"
Karlsruher Institut für Technologie (KIT), Karlsruher Institut für Technologie (KIT)
Supplementary material for "Performance-Detective: Automatic Deduction of Cheap and Accurate Performance Models" (DOI 10.1145/3524059.3532391) # Step 1: System analysis We provide the processed JSON output of Perf-Taint for the Pace3D and Kripke case studies, as well as the bitcode of Kripke used as input of Perf-Taint. Because Pace3D is closed source, we cannot provide the source code to reproduce the analysis results. # Step 2: Experiment design We provide scripts that: * check the output of Perf-Taint for parameters not interacting with each other, * detect iteration parameters potentially linearly influencing the runtime of the calculation * check the coefficient of variation of single iterations to confirm the linear influence # Step 3: Instrumented experiments We provide the profiles of all measurements conducted for the training points. For Pace3D, we had to add one function to the instrumentation filter manually because of a bug in Score-P: Functions declared as static inline inside a header file which are then called from different translation units are not instrumented correctly by Score-P. Thus, the resulting profiles are incorrect. However, we can work around this bug by including the function calling the static inline function. ## Training Data Pace3D ### Training Data Performance-Detective Performance-Detective derived a minimal experiment design with 25 configurations to be measured once, resulting in 25 measurements. The data for Extra-P is splitted into two folders that contain the same measurements that are labeled differently. As we did not implement modeling for the optimized subset, we later create two models (one using procs and vol, one using procs and cubes) and extract the model of each function from the respective model (depending on whether the functions relies on vol OR on cubes). The data for PIM is the same as in the Extra-P folder, just labeled with all the values measured. ### Training Data Full-Factorial 625 measurements for all possible combinations of the five values of procs, vol, and cubes. Each measurement was repeated 5 times. ### Training Data Plackett-Burman 49 samples selected using a random seed and 5 levels -- effectively a subset of the full-factorial measurements. Each measurement was repeated 5 times. ## Training Data Kripke ### Training Data Performance-Detective Performance-Detective derived a minimal experiment design with 5 configurations to be measured once, resulting in 5 measurements. The data for Extra-P is splitted into two folders that contain the same measurements that are labeled differently. As we did not implement modeling for the optimized subset, we later create two models (one for procs, one for dirsets) and extract the model of each function from the respective model (depending on whether the functions relies on procs OR on dirsets). However, for the single-parameter modeler, modeling based on dependencies from Perf-Taint is not yet implemented. Therefore, the measurements are labeled as two parameter-experiments following the policy detailed in the respective folder. The data for PIM is the same as in the Extra-P folder, just labeled with all the values measured. ### Training Data Full-Factorial 125 measurements for all possible combinations of the five values of procs and dirsets. Each measurements was repeated 5 times. ### Training Data Plackett-Burman 10 samples selected using a random seed and 5 levels -- effectively a subset of the full-factorial measurements. Each measurement was repeated 5 times. # Step 4: Modeling and Evaluation Data of each case study is in the respective folder. ## Evaluation Measurements Extra- and interpolated measurement data in the respective folder. ## Extra-P Contains script for calculating the model errors regarding extra- and interpolated evaluation measurements. ### Models Contains Extra-P models as well as a converter from Extra-P format to text (creates PerformanceModel.py), that is used in `calculate_model_errors.py`. It requires an installation of Extra-P to run. ## Performance-Influence Models We use the scripts by [Weber et al.](https://github.com/AI-4-SE/White-Box-Performance-Influence-Models/tree/main/supplementary-website/code/modeling), partly modified to account for the configurations of the case studies and modeling based on known dependencies to functions. ### Data Contains the data of the cubex files in csv format. Data is parsed with `create_csv_from_cubex.py`. ### Model errors Contains the csv files with the model errors of the respective models. Files are generated by `learn_method_level_model_with_deps.py` and `learn_method_level_without_deps.py`, respectively. # License The files `calculate_model_errors.py`, `extrap_to_text.py`, and `create_csv_from_cubex.py` are modified parts of the Extra-P Software (cf. [cube_file_reader2.py](https://github.com/extra-p/extrap/blob/master/extrap/fileio/cube_file_reader2.py) and the license file `LICENSE-BSD3-EXTRAP`). The files `learn_method_level_model_with_deps.py` and `learn_method_level_model_without_deps.py` are modified parts of the supplementary material of [Weber et al.](https://github.com/AI-4-SE/White-Box-Performance-Influence-Models/tree/main/supplementary-website/code/modeling). The license file `LICENSE-GPL-PIM` applies to these files.
Performance-Detective: Automatic Deduction of Cheap and Accurate Performance Models - Supplementary Material
This dataset contains FAIR records which describe the tribological specimens utilized in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Tribological Specimens for Tribological Experiments v2 - Sapphire on Copper - FAIR Dataset
Institut für Angewandte Materialien – Energiespeichersysteme (IAM-ESS), Karlsruher Institut für Technologie (KIT)
Na+ pre-intercalated bilayered vanadium oxide (NVOnH) with a large interlayer spacing of ∼11.1 Å is synthesized via hydrothermal method. As proven by mass spectrometry and magnetization measurements, NVOnH is “oxygen-rich”. NVOnH undergoes a notable structure evolution and thermal instability during heating due to crystal water and O2 release and decomposition. NVOnH and dehydrated NVOnH (NVO) deliver a capacity of over 250 mAh g−1 and 220 mAh g−1, respectively, despite their fast capacity decay in the first 20 cycles and low capacity retention after 100 cycles. Moreover, the reaction mechanism and reversibility of NVOnH and NVO during Na+ ions (de)insertion are investigated via in operando techniques. NVOnH experiences a 2-phase and solid solution reaction during discharge and charge processes while NVO undergoes a different phase evolution (NVO starting with charging: 2-phase reaction for the first charging and only solid solution for the following cycle; NVO starting with discharging: only solid solution reaction). In operando X‑ray absorption spectroscopy demonstrates the variation of the oxidation state and the local structural environment of V ion during Na+ (de)insertion.
The data include electrochemistry data, XPS, TGA, XRD, magnetic data, in situ HT XRD, in situ XRD and XAS data, which were plotted using Origin software.
in situ high-temperature synchrotron diffraction
in operando X‑ray absorption spectroscopy.
Na+ Pre-Intercalated Bilayered V2O5 Cathode Materials for Na-Ion Batteries
Descriptions of the data formats are provided in the subdirectory 'description'
Supported nanocatalysts exhibit different performance in batch and fixed bed reactors for a wide range of liquid phase catalytic reactions due to differences in metal leaching. To investigate this leaching process and its influence on the catalytic performance, a quantitative 3D characterization of the particle size and the particle distribution is important to follow the structural evolution of the active metal catalysts supported on porous materials during the reaction. In this work, electron tomography has been applied to uncover leaching and redeposition of a Pd@CMK3 catalyst during formic acid decomposition in batch and fixed bed reactors. The 3D distribution of Pd NPs on the mesoporous carbon CMK3 has been determined by a quantitative tomographic analysis and the determined structural changes are correlated with the observed differences in activity and stability of formic acid decomposition using batch and fixed bed reactors.
Disclosing the Leaching Behaviour of Pd@CMK3 catalysts in Formic Acid Decomposition by Electron Tomography
Raw data to the dissertation "Advanced TEM Investigations on the Effect of Additives for Reactive Hydride Composites'
Processed micro-tomographic scan of the ant Agraulomyrmex meridionalis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant OUTGROUP_Anterhynchium flavomarginatum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The archive includes two datasets. The dataset of 20,000 synthetic images was generated for the neural-network training. Filename structure: [sequence number]-[edge class]-[line width in mpx]-[SD in mpx]-[contrast level]-[noise level]. The dataset of 200 natural images was collected to test pre-trained model. Filename structure: [line type, code]-[line width in nm]-[SD in nm]-[pixel density in mpx/mm]. Pixel density is reciprocal to the image resolution. Line type and code structure: [diw/ijp]: direct-written or inkjet-printed line, [first number]: sequence number, [a/b]: printed line or interline space, [last number]: 0 - original image, 1 - vertically mirrored and gamma-corrected image, 2 - horizontally mirrored and gamma-corrected image, 3 - 180° rotated and gamma-corrected image, 4 - solely gamma-corrected image. Gamma correction was randomly set in the range [0.5, 1.5].
Conventional optical measurement techniques are beneficial in manufacturing processes due to their fast and non-intrusive operation. However, they require sophisticated and expensive equipment as well as increased personnel qualification. While the integration of machine learning contributes to alleviating these requirements, it needs a time-consuming and tedious preparation of training datasets. We introduce a twin concept to conduct rapid measurement of various geometrical properties of printed lines using deep learning. For the first time, a tedious collection and assessment of training data is substituted by synthetic generation of digital samples, which enables flexible, fast, and precise data processing. A full-field analysis of a non-preprocessed image conducted by a neural network facilitates measurement of multiple geometrical properties of an object at once. Corresponding network architecture, workflows, and metrics are outlined. The application area of the concept is demonstrated, but not limited to the field of functional printing. The method can easily be tailored to a wide range of engineering fields.
Natural and synthetic datasets for rapid deep-learning-based optical measurement of printed linear structures
# Readme Auxiliary code for `DUNE-dipole-code.tar.xz`
Processed micro-tomographic scan of the ant Camponotus bishamon, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Aus den Infrarotspektren der Jahre 2002-2012 des Satelliteninstrumentes MIPAS wurde die räumliche und zeitliche Verteilung von SF6 berechnet. Daraus wurden zonale Monatsmittelwerte des Luftalters (Age of Air) in 30 jeweils 6 Grad umfassenden Breitenbereichen bestimmt. Die Berechnung des Luftalters ist beschrieben in Haenel et al. (2015) [https://doi.org/10.5194/acp-15-13161-2015], die SF6-Daten für den vorliegenden Datensatz (Versionen V5H_SF6_21 und V5R_SF6_224/225) wurden jedoch berechnet mit den neueren Spektroskopiedaten für SF6 und CFC-11 von J.J.Harrison (2018,2020) [https://doi.org/10.5194/amt-11-5827-2018, https://doi.org/10.1016/j.jqsrt.2020.107202].
The data is delivered as one netCDF file. This file contains the zonal monthly mean AoA data, statistical information wrt the averaging process, spatial and temporal coordinates, and some additional information.
From mid-infrared spectra, measured in 2002-2012 by the satellite-borne instrument MIPAS, the spatial and temporal distribution of SF6 was calculated. This data was converted to zonal monthly means of age of air in 30 latitude bins of 6 degree width each. The calculation of the age of air is described in Haenel et al. (2015) [https://doi.org/10.5194/acp-15-13161-2015], however, the SF6 data used for the current data set (versions V5H_SF6_21 and V5R_SF6_224/225) were calculated with more recent spectroscopic data for SF6 und CFC-11 by J.J.Harrison (2018,2020) [https://doi.org/10.5194/amt-11-5827-2018, https://doi.org/10.1016/j.jqsrt.2020.107202].
MIPAS monthly zonal mean Age of Air data, based on MIPAS SF6 retrievals, processed at KIT-IMK, Karlsruhe
Processed micro-tomographic scan of the ant Temnothorax arimensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Rogeria belti, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Bothroponera talpa, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Carebara sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Details zu den Daten sind dem KIT Scientific Working Paper 222 zu entnehmen: "Development of an Alternative Approach for Estimating User Load due to Screw-in Torque in User Studies" Autoren: Johannes Sänger, Lukas Wirth, Sven Matthiesen
Processed micro-tomographic scan of the ant Microdaceton tibialis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pristomyrmex cribrarius, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Nylanderia ryukyuensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tetramorium amentete, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This is a project created at Karlsruhe Institute of Technology (KIT), providing elements of the TEEMLEAP testbed code
Processed micro-tomographic scan of the ant Camponotus hyatti, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant OUTGROUP_Mymaridae sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This is the original data for the article Thomas, J., Barrett, A., and Hoose, C.: Temperature and CCN sensitivity of orographic precipitation enhanced by a mixed-phase seeder-feeder mechanism: a case study for the 2015 Cumbria flood, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2022-740, 2022, accepted for publication in Atmospheric Chemistry and Physics. The folder data contains simulation output. Folder names correspond to the temperature and CCN perturbations as in the article. 3d-Fields for the reference simulation (PB-T-500) can be obtained from the authors upon request. Some data, such as rain water flux and average hydrometoer content, has been preprocessed in order to minimize the file size. Link to openstreetmap (Fig. 2b): http://share.mapbbcode.org/sqaev
Research data for "Temperature and CCN sensitivity of orographic precipitation enhanced by a mixed-phase seeder-feeder mechanism: a case study for the 2015 Cumbria flood"
Processed micro-tomographic scan of the ant Cardiocondyla afrc-za02, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Carebara hannya, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Solenopsis desecheoensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Katalyseforschung und -technologie (IKFT), Karlsruher Institut für Technologie (KIT), Karlsruher Institut für Technologie (KIT), Karlsruher Institut für Technologie (KIT)
This Monte-Carlo simulation simulates nanoparticles at different temperatures. By applying a simulated annealing protocol, the user can find the most stable, entropically realistic structure of a nanoparticle.
Simple energy model The energy input is a simple mapping of coordination number to energy in eV. The input can be a direct mapping of every coordination number to a distinct energy. Alternatively, a linear energy increase with coordination number can be used, which speeds up the simulation. High performance By using a simple energy model, the simulation can perform up to 10^11 iterations in one day. With a linear coordination number to energy mapping it can reach up to 10^12 iterations in one day. This allows for the simulation of larger nanoparticles. Multithreaded The code allows for as many parallel simulations as cores available on the computing node. This enables the user to obtain a statistically relevant ensemble of low-energy structures. Adding parallel simulations has negligible increase in required RAM. Track the Simulation using the .xyz-format Throughout the simulation it is possible to track the energy and save snapshots of the particle. Furthermore the particle with the lowest energy will be saved as an .xyz-file. Support The simulation can simulate the effect a support can have on the particle. A monometallic support can be created by giving a vector that is orthogonal to the support pane. Usage Requirements Rust Python used version 3.11.10 ASE used version: ase-3.22.1 Install from git git clone git@github.com:T-136/MC-Cluster.git Build the binary Build the program with: cargo build -r After the build step is complete the compiled program can be found in your project folder under "./target/release/mc". Run the simulation ./target/release/MC-Cluster -a Pt,1000 --support Al,1,1,1 -t 1000 -i 1e7 -r 0-1 --e-cn ./example_data/cn_input_example.json -o 9/10 -g ./example_data/303030-grid --support-e 0 --xyz-trajectory Use "-h" or "--help" to see the available flags and how to use them. -s, --start-cluster <START_CLUSTER> -a, --atoms <ATOMS> Atom name and number of that atom seperated by a comma. "Pt,4000" -s, --support <SUPPORT> When creating a new particle using the atoms flag, write the Atom name and a vector orthogonal to the support surface Al,1,1,1. When starting from a xyz file only the support atom is required -f, --folder <FOLDER> Output folder [default: ./sim/] -i, --iterations <ITERATIONS> Determines the length of the simulation -b, --begin-temperature <BEGIN_TEMPERATURE> Temperature where the annealing process starts [default: 5000] -t, --temperature <TEMPERATURE> Temperature at which the annealing process stops [default: 300] -o, --optimization-cut-off-fraction <OPTIMIZATION_CUT_OFF_FRACTION> Fraction of the simulation after which the annealing process is completed. After that, the temperature remains constant [default: 1 2] --support-e <SUPPORT_E> Support energy --e-l-cn <E_L_CN> File path or string containing a JSON-formatted list of energies --e-cn <E_CN> File path or string containing JSON-formatted energies -r, --repetition <REPETITION> How many times the same simulation is run. Multiple runs allow for convergence tests. The number will be part of the simulation folder name. After running `-r 0-1`, you can run `-r 1-2` and the previous simulation will not be overwritten [default: 0 1] -g, --grid-folder <GRID_FOLDER> Folder containing the setup files like neighbor sites. It can be created using the Python script `create_sites.py` [default: ../303030-pair] -x, --xyz-trajectory Track the simulation by taking snapshots of the cluster throughout the simulation --heat-map Generate a heat map -h, --help Print help -V, --version Print version
Monte Carlo Nanoparticles DFT Coordination number Catalysis Simulated annealing
MC-Cluster: a Monte Carlo simulation for nanoparticle
This dataset contains FAIR records which describe the tribological experiment Copper under Constant Normal Load #0020, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0020 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Codes to generate the numerical examples in the publication "INVERSE ELECTROMAGNETIC SCATTERING PROBLEMS FOR LONG TUBULAR OBJECTS". These codes use the Python programming language and are based on the bempp boundary element library (https://bempp.com).
Inverse Scattering Problems for Long Tubular Domains - Codes
This code was used for the numerical experiments in the preprint (CRC Preprint 2021/26; URL: https://www.waves.kit.edu/downloads/CRC1173_Preprint_2021-26.pdf) and in the paper "Error analysis of multirate leapfrog-type methods for second-order semilinear odes" by C. Carle and M. Hochbruck.
The scripts inside the subfolders are intended to reproduce the figures from the preprint > Error analysis of multirate leapfrog-type methods for second-order semilinear ODEs by Constantin carle and Marlis Hochbruck ### Requirements The codes are tested with Ubuntu 20.04.2 LTS and Python 3.8.5 and the following version of its modules: - numpy - 1.17.4 - scipy - 1.3.3 - dolfin (fenics) - 2019.2.0.dev0 (including mshr) - matplotlib - 3.1.2 - tikzplotlib - 0.9.6### Generation of figures In the folder "code_figure_6p1-6p2" open a console and run the commands 1. to obatin Figure 6.1 python3 script_figure_2dimEx.py, 2. to obtain Figure 6.2(a) python3 script_figure_FPUT_error.py 3. to obtain Figure 6.2(b) python3 script_figure_FPUT_hamiltonian.py. In the folder "code_figure_6p3" open a console and run the command python3 script_figure_wave-equation.py to obtain Figure 6.3(a) and (b). Additionally to the plots you can get the tikz-files which were used for generating the plots in the pdf by uncommenting the lines #import tikzplotlib #tikzplotlib.save("*****.tikz") at the end of each of the above scripts.
Numerical experiments to "Error analysis of multirate leapfrog-type methods for second-order semilinear odes"
Processed micro-tomographic scan of the ant Polyrhachis decemdentata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
In this file are contained the raw data behind the publication with the title "Subsurface microstructural evolution during scratch testing on bcc iron" accepted for publication in the MDPI journal "metals"
Raw Data to the manuscript "Subsurface microstructural evolution during scratch testing on bcc iron"
Processed micro-tomographic scan of the ant Neivamyrmex aff Jerrmanni, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Plectroctena strigosa, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Anillomyrma sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant stigmatomma sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pristomyrmex afric-tz01, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Monomorium mirandum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Myrmecina graminicola, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant OUTGROUP_Mutillidae sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Bothroponera perroti, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Fernando O. Campos, Aurel Neic, Caroline Mendonca Costa, John Whitaker, Mark O’Neill, Reza Razavi, Christopher A. Rinaldi, Daniel Scherr, Steven A. Niederer, Gernot Plank, Martin J. Bishop
This is an idealized 2D cardiac infarct model designed with the purpose of replicating the setup used in our study entitled "An automated near-real time computational method for induction and treatment of scar-related ventricular tachycardias" (accepted) Medical Image Analysis (2022).
Example of reentry induction in a 2D idealized infarct model (v1.0)
Processed micro-tomographic scan of the ant Mycetosoritis hartmanni, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
LUBW Landesanstalt für Umwelt Baden-Württemberg
Institute of Meteorology and Climate Research Troposphere Research (IMKTRO), Karlsruhe Institute of Technology (KIT)
The simulations in the KIT-KLIWA Ensemble were performed with COSMO_CLM_5.0_clm7. The data contain the simulation output of 5min precipitation (TOT_PREC), and daily maximum temperature (TMAX_2M). These are results of the 3rd nest of a 3-nest approach (50km->7km->2.8km). The 3rd nest domain is a rotated 0.025° grid covering Southern Germany/Alps, with deep convection switched off. The data are provided for a sample grid point in the center of the simulation domain. The sample point has the coordinates 50°N, 10°E. The simulation covers the period 1971-2005 (historical) and 2006-2100 (rcp8.5). The driving data are CMIP5 MPI-M-MPI-ESM-LR, historical and rcp8.5, r1i1p1. Further information on the simulation setup can be found in Hundhausen, M., Feldmann, H., Laube, N., & Pinto, J. G. (2023): Future heat extremes and impacts in a convection-permitting climate ensemble over Germany. Natural Hazards and Earth System Sciences, doi: https://doi.org/10.5194/nhess-23-2873-2023.
KIT-KLIWA COSMO-CLM downscaling of MPI-ESM-LR to 0.025° resolution: 5min precipitation and daily maximum temperature single grid point sample data
Processed micro-tomographic scan of the ant Plectroctena mandibularis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Camponotus sericeiventris, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Rasopone succedanea, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Ooceraea biroi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains FAIR records which describe the tribological experiment Copper under Constant Normal Load #0005, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0005 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Release notes: https://git.scc.kit.edu/mpp/mpp/-/tags/3.5.0
Der DMT wurde an 3 Augsburger Grundschulen mit jeweils 2 Klassen durchgeführt.
Simulated concentration data for birch pollen, birch SPP and hydrometeors and atmospheric variable (Part 17)
ICON related information for publication "Increasing resolution and resolving convection improves the simulation of cloud‐radiative effects over the North Atlantic" by Senf et al., JGR-Atmospheres, 2020, more details given in the included README file
ICON related information for publication "Increasing resolution and resolving convection improves the simulation of cloud‐radiative effects over the North Atlantic" by Senf et al., JGR-Atmospheres, 2020
Nachdem in einer gymnasialen Population festgestellt wurde, dass die von Cooper vor mehr als 30 Jahren aufgestellten Normative zur Beurteilung der Ausdauerleistungsfähigkeit weiterhin Gültigkeit besitzen, war es interessant zur fragen, ob dieser Befund auch auf die Altersstufen von Grundschülern übertragen werden kann, zumal sich in der Altergruppe die veränderten Lebensbedingungen noch stärker widerspiegeln könnten. Hierzu wurden 428 Schüler einer ländlichen Grundschule dem COOPER-Test unterzogen. Obgleich die mittlere Laufleistung der Jungen und Mädchen unstetig über die gegebenen Altersstufen steigt, konnte für die Jungen eine regressionsanalytisch ermittelte jährliche Steigerung um mehr als das Doppelte im Vergleich zu den Mädchen aufgezeigt werden (ca. 91 m bzw. 42 m pro Lebensjahr). Auch für Schüler der Primarstufe wurde dokumentiert, dass die Ausdauerleistungsfähigkeit, ermittelt im dominant aeroben 12-Minuten Lauftest nach Cooper, durchaus als hoch einzustufen ist. Die von Cooper ermittelten Normative scheinen auch für die 6- bis 10-jährigen Schüler weiterhin gültig zu sein. Verf.-Referat
Revision des COOPER-Tests für die Grundschule
The dataset contains yearlong monthly measurements (June 2020 to April 2022) of water quality parameters, CO2, CH4 and N2O concentrations from 23 streams, 3 drainage ditches and 2 wastewater effluent sites within within the Loisach, Schwingbach and Neckar catchments in Germany. The study sites covered various upstream land uses (croplands, wetlands, grasslands, settlements and forests) as well as stream orders (1-6). Measurements were mostly done during the day between 8.00 am and 5.00pm.
Water quality and greenhouse gas (GHG) concentration data for temperate headwater streams in Germany
Karlsruhe Institute of Technology - Institute of Meteorology and Climate Research - Atmospheric Environmental Research (IMK-IFU)
##### Instructions: The scripts inside the subfolder are intended to reproduce the figures from the preprint ###### Rank-adaptive dynamical low-rank integrators for first-order and second-order matrix differential equations by Marlis Hochbruck, Markus Neher, and Stefan Schrammer We provide two different versions of the code: - Code_rad_wo_ref.zip provides the scripts for computing and plotting the data for all numerical experiments. - Code_rad_incl_all.zip additionally provides the reference solutions as well as the low-rank approximations as hdf5-files. ##### Requirements The codes are tested with Ubuntu 20.04.2 LTS and Python 3.8.5 and the following version of its modules: numpy 1.19.2 scipy 1.5.2 numba 0.51.2 colorama 0.4.4 h5py 2.10.0 matplotlib 3.3.2 tikzplotlib 0.9.6 ###### Generation of figures (tikz files containing the data are also created) In the folder fracginz open a console and run the commands to create the data for Figures (1) and (2) python3 fgl.py to create Figures (1) and (2) python3 fgl_results.py In the folder fracschr open a console and run the commands to create the data for Figure (3) python3 fsr.py to create Figure (3) python3 fsr_results.py In the folder laserplasma open a console and run the commands to create the data for Figures (4) and (5) python3 lpi.py to create Figures (4) and (5) python3 lpi_globalerr.py python3 lpi_svals_maxint.py In the folder sinegordon open a console and run the commands to create the data for Figures (6) and (7) python3 sineg.py to create Figures (6) and (7) python3 sineg_globalerr_ranks.py
Numerical experiments for "Rank-adaptive dynamical low-rank integrators for first-order and second-order matrix differential equations"
The heat transfer between an impinging circular jet and a flat plate is studied by means of direct numerical simulations for different Prandtl numbers of the fluid. The thermal field is resolved for $Pr=1$, $0.72$, $0.025$, and $0.01$. The flow is incompressible and the temperature is treated as a passive scalar field. The jet originates from a fully developed turbulent pipe flow and impinges perpendicularly on a smooth solid heated plate placed at two pipe diameters distance from the jet exit section. The values of Reynolds numbers based on the pipe diameter and bulk mean velocity in the pipe are set to $Re=5300$ and $Re=10000$. Inflow boundary conditions are enforced using a precursor simulation. Heat transfer at the wall is addressed through the Nusselt number distribution and main flow field statistics. At fixed Reynolds number it is shown that the Prandtl number influences the intensity of the Nusselt number at a given radial location, and that the Nusselt number distribution along the plate exhibit similar features at different Prandtl numbers. The characteristic secondary peak in the Nusselt number distribution is found for both Reynolds numbers for $Pr=0.025$ and $Pr=0.01$. All the simulations presented in this study were performed with the high order spectral element code Nek5000.
Data contain mean flow field statistics along the impingement wall of a turbulent impinging jet at Re=5300 and Re=10000. Data are separated in directories for each Reynolds number case. For each case, mean flow statistics of the precursor pipe flow simulation are also reported. Data are stored as csv ascii files and information about the columns are found directly in the files.
DNS of Turbulent Heat Transfer in Impinging Jets at Different Reynolds and Prandtl Numbers
"Sprungkraft als Trainingsziel im Sportunterricht. Funktion, Struktur,Messung" in Sportwissenschaft (Schorndorf) 11 (1981), 1 , S. 88-102Sprungkraft wird unter den Aspekten Funktion, Definition, Systematik und Strukturierung als konditionelle Eigenschaft diskutiert. Die Funktion ist ambivalent, denn einmal erfolgt der Einfluss der Sprungkraft direkt, ein andermal indirekt. Sprungkraft ist die Faehigkeit, moeglichst weit undoder hoch zuspringen, wobei mehrere Sprungkrafteigenschaften nach den Sprungbewegungen unterscheidbar sind. Zwischen den verschiedenen Sprungkrafteigenschaften - exemplarisch werden zehn ueberprueft - bestehen enge korrelative Beziehungen. Die faktorenanalytische Betrachtung fuehrt die zehn Sprungkraftleistungen auf einem einzigen Generalfaktor zurueck, der allen Sprungleistungen immanent ist.Er bewirkt den Grossteil aller inter-individuellen Sprungkraftunterschiede im Schulalter.
Jump and Reach Werte für Jugendliche und junge Erwachsene (17-22 Jahre)
Water Level of the Jvari Reservoir of Enguri High Arch Dam for the years 1978-2025
This Excel file includes the main data reported in Song et al., ACP, 2024, Characterization of biogenic volatile organic compounds and their oxidation products at a stressed pine forest close to a biogas power plant.
Data for a study in which we present real-time measurements of organic aerosol (OA) and biogenic volatile organic compounds (BVOCs) at a pine forest stressed by bark beetles and previous droughts close to a biogas power plant (BPP) in western Germany during June 2020. A proton-transfer-reaction time-of-flight mass spectrometer coupled with a particle inlet (CHARON-PTR-ToF-MS) and a Vocus-PTR-ToF-MS were deployed to measure OA and BVOCs. During the entire measurement period, the average concentration of monoterpenes (2.5 ± 5.3 ppb) was higher than isoprene (0.58 ± 0.54 ppb) and sesquiterpenes (0.01 ± 0.01 ppb). The OA composition mainly consisted of semi-volatile organic compounds formed from monoterpene oxidation. Based on a wind direction analysis, BVOC data were categorized into two groups with main influence from the BPP (WD-BPP) and the forest (WD-forest), respectively. In the WD-BPP group, high concentrations of monoterpenes and sesquiterpenes were attributed to BPP emissions. In the WD-forest group, higher temperatures enhanced the biogenic emissions of isoprene, monoterpenes, and sesquiterpenes especially during daytime, exceeding their photochemical consumption. Positive matrix factorization analysis of VOCs revealed substantial contributions of gaseous organic acids from BVOC oxidation during daytime, while weakly oxidized monoterpene products dominated during nighttime. Moreover, increasing relative humidity promoted the gas-to-particle partitioning of gaseous weakly oxidized monoterpene products, leading to an increase of nighttime OA mass. This study highlights that the variations of BVOCs and their oxidation products are influenced by meteorology, local BPP emissions, and chemical transformation processes at this stressed forest.
Data of Characterization of biogenic volatile organic compounds and their oxidation products at a stressed pine forest close to a biogas power plant
Die Stadt Leipzig hat sich das Ziel gesetzt, nachhaltig an der gesundheitsbezogenen Bewegungsförderung ihrer Bewohnerinnen und Bewohner zu arbeiten. Hierzu wurde mit der Universität Leipzig ein Forschungsprojekt ? Komplexe Allgemeine Schuluntersuchung (KOMPASS-2-Studie) ? initiiert. Insgesamt sind 30 Grundschulen in Leipzig und im Landkreis Leipzig in die querschnittlich wie längsschnittlich durchgeführten Untersuchungen involviert. Die KOMPASS-2-Studie umfasst bisher zwei Erhebungszeiträume (1. Erhebungswelle: 2014/15-2017/18, 2. Erhebungswelle: 2018/19-2021/22). Die Erfassung und Auswertung von Daten zur körperlich-sportlichen Aktivität, zur Gesundheit, zur motorischen Leistungsfähigkeit der Kinder sowie zu sozioökonomischen Aspekten aus dem Umfeld der Eltern und Familie stellen dabei ein Hauptanliegen der KOMPASS-2-Studie dar. Zudem wird auf der Basis der Schuleingangsuntersuchungen mit dem Gesundheitsamt Leipzig die motorische Weiterentwicklung der Kinder verfolgt. Perspektivisch wird beabsichtigt, motorisch auffällige Kinder in bereits etablierte Bewegungsangebote zu integrieren sowie bedarfsgerechte Interventionen für die Leipziger Schulen zu entwickeln.
Motorische Leistungsfähigkeit von Augsburger Grundschulkindern 2018. 7-9 Jahre alt.
Motorische Leistungsfähigkeit von Augsburger Grundschulkindern 2018
"Entwicklung sportmotorischer Eigenschaften und sportliche Aktivitaet bei Erwachsenen." in Leibesübungen, Leibeserziehung, 37 (1983) 5, S. 99-106
Diagnose motorischer Leistungsfähigkeit - Entwicklung und Evaluation eines sportmotorischen Fitnesstests für die Bundeswehr
Vergleichsdaten Standweitsprung, Weitsprung 1984
The files contain the data presented in Gasch et al., 2023, which are obtained from ADL simulations described there. Further information on the data can be found in the document 'AMT_2023_Gasch_et_al_documentation.pdf'
Simulation results for Gasch et al., 2023, AMT: Advancing airborne Doppler lidar wind profiling in turbulent boundary layer flow – an LES-based optimization of traditional scanning-beam versus novel fixed-beam measurement systems
In: Medizin und Sport 17 (1977) 1, 18-26
Simulated concentration data for birch pollen, birch SPP and hydrometeors and atmospheric variable (Part 6)
The data sets comprise hourly congestion data of the transmission system operator 50 Hertz from 2015 to 2017. 50 Hertz GmbH and TenneT GmbH are the TSOs in Germany, which suffer the most from congestion in their grids (96 % of German transmission grid congestion appears here). While other German TSOs do not publish their respective congestion data, 50 Hertz GmbH provides hourly values. We transformed the data from categorical and numerical information into binary variables to provide an easier starting point for further analysis. Check the "Read me" section for further information. This data is part of a larger data set on congestion in the German electricity grids from 2015 to 2017. The related datasets are referenced below. The publication of this data set was supported by the German Research Foundation (DFG) as part of the Research Training Group GRK 2153: Energy Status Data - Informatics Methods for its Collection, Analysis and Exploitation.
The data is available for the time of 1/1/2015 until 12/31/2017 for 200 lines, which were in operation during this time. There are two different data sets, which were transformed differently to provide different possibilities for further exploration. Data set "lineloaddata50percentthreshold" has the following binary encoding: - 0 - lines having a load of up to 50 % or below of their thermal capacity limit - 1 - lines having a load of more than 50 % of their thermal capacity limit - NaN - no data available Data set "lindloaddata_70percentthreshold": - 0 - lines having a load of up to 70 % or below of their thermal capacity limit - 1 - lines having a load of more than 70 % of their thermal capacity limit - NaN - no data available The date format is (mm/dd/yyyy). Please be aware of this while reading in the data. The used separator is ',' (.csv). Every transmission line has a distinct column comprising its binary information about its congestion state as explained before. The line / column names are identical to the coding of line names 50 Hertz GmbH uses.
Congestion data TSO 50 Hertz Germany 2015-2017 (binary)
Institut für Thermische Verfahrenstechnik (TVT), Karlsruher Institut für Technologie (KIT)
Ready-to-use database (*.dat) for the open-source software PHREEQC optimized for the thermodynamic modelling of Cu/Zn based electrolytes (e.g. in the preparation of Cu/ZnO catalysts). Additional calculations are available in a *.xlsx file.
PHREEQC database for the thermodynamic modelling of Cu/Zn based catalyst precursors
Institut für Thermische Verfahrenstechnik
In diesem Beitrag werden experimentelle Daten für den Wärmeübergang und den Druckverlust einer turbulenten Rohrströmung von Wasser und der Flüssigmetalllegierung GaInSn mit azimutal homogener und inhomogener Verteilung des Wärmestroms bereitgestellt. Für den inhomogenen Fall wurde der Wärmestrom nur über den halben äußeren Rohrumfang aufgeprägt. Die Reynolds-Zahl der Strömung wurde für Wasser im Bereich $5\cdot10^3 < Re_{Wasser} <4.2\cdot10^4$ und für GaInSn im Bereich $8\cdot10^3 < Re_{GaInSn} < 1\cdot10^5$ variiert.
Raw and analyzed data for the heat transfer and pressure drop for a turbulent tube flow of water and the liquid metal alloy GaInSn summarized in an excel file.
In this contribution experimental data of heat transfer and pressure drop for a turbulent tube flow of water and the liquid metal alloy GaInSn, with azimuthally homogeneous and inhomogeneous heat flux distribution is provided. For the inhomogeneous case, the heat flux was only applied over the half of the tube's outer circumference. The Reynolds number of the flow was varied for water in the range of $5\cdot10^3 < Re_{Water} <4.2\cdot10^4$ and for GaInSn $8\cdot10^3 < Re_{GaInSn} < 1\cdot10^5$.
Heat transfer and pressure drop data of a turbulent tube flow of water and GaInSn with azimuthally inhomogeneous heat flux
"Konditionsdiagnose im Fußball"in Leistungssport, 20,(1990), 4 , S. 23-28In mehreren fuer das Fussballspiel relevanten konditionellen Einflussgroessen sind hochklassige Fussballspieler Leichtathleten, die sich mit ihren Leistungen kaum fuer Bezirksmeisterschaften qualifizieren koennten, unterlegen. Bemerkenswert ist, dass Sprint- und Sprungfaehigkeiten selbst in den beiden hoechsten Spielklassen relativ schwach ausgebildet sind. Erhebliche Maengel sind ebenso in allen Bereichen der Muskeldehnfaehigkeit festzustellen, was sich nicht nur allgemein mindernd z.B. auf Sprint- und Sprungleistungen auswirkt, sondern die Verletzungswahrscheinlichkeit z.T. drastisch erhoeht.
This data accompanies the Paper "How much demand side flexibility do we need? - Analyzing where to exploit flexibility in industrial processes".[0] The raw data which this data set is based on, is the HIPE dataset[1], which can be found at https://www.energystatusdata.kit.edu/hipe.php . In the accompanying publication, you can find an in-depth description of the data, how it was gathered, what types of machines were covered, etc. This data package contains: * The instances of the four test sets in [0]. These can be found in the subfolder "instances". The "PS_Nonuniform", "PS_Uniform", "PSG" and "OM" subfolders contain the 450 instances of each set, one instance per file. The file format is explained in the "file_format.{md, html, pdf}" files. * Information about our computational results as a SQLite3 database in the "results" subfolder. Information about the database structure can be found in the "db_structure.{md, html, pdf}" files. [0] Lukas Barth, Veit Hagenmeyer, Nicole Ludwig, and Dorothea Wagner. 2018. How much demand side flexibility do we need? Analyzing where to exploit flexibility in industrial processes. In Proceedings of ACM eEnergy Conference (eEnergy’18). ACM, New York, NY, USA, 20 pages. (to appear) [1] Simon Bischof, Holger Trittenbach, Michael Vollmer, Dominik Werle, Thomas Blank, and Klemens Böhm. 2018. HIPE – an Energy-Status-Data Set from Industrial Production. In Proceedings of ACM e-Energy (e-Energy ’18). ACM, New York, NY, USA, 5 pages. (to appear)
Dataset accompanying "How much demand side flexibility do we need? - Analyzing where to exploit flexibility in industrial processes"
The dataset contains yearlong monthly measurements (January 2019 to Febuary 2020) of water quality parameters, CO2, CH4 and N2O concentrations from 59 stream sites within the Kenyan part of the Mara River basin. The study sites covered various upstream land uses (croplands, savanah grasslands and forests) as well as stream orders (1-8). Measurements were mostly done during the day between 8.00 am and 5.00pm.
Water quality and greenhouse gas (GHG) concentration data from streams and rivers in the tropical Mara basin
Each folder contains subfolders divided into element type. Each element subfolder contains a stack of images in .tif format showing X-ray fluorescence tomography data with raw counts as the grayscale values. Data can be opened and edited with common softare tools such as imageJ.
X-ray fluorescence tomography dataset of propane dehydrogenation catalyst
Processed micro-tomographic scan of the ant Cardiocondyla afrc-za03, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Acanthoponera mucronata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Strumigenys exilirhina, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Camponotus niveosetosus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Gnamptogenys triangularis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The 'overview.txt' file describes the files and their relations to the manuscript.
Role of powders and coatings for relating catalytic activity and structure of Pt in emission control catalysis - Raw data
The data uses the separator "None". It is the original data set which was downloaded at netztransparenz.de. Be careful that the data uses German encoding ("utf-8", "ISO-8859-1") as well as German date format (dd/mm/yyyy). The data set has the following columns (original name / english translation): - BEGINN_DATUM (Starting Date) - BEGINN_UHRZEIT (Starting daytime) - ENDE_DATUM (Ending date) - ENDE_UHRZEIT (Ending daytime) - NETZREGION (grid region) - GRUND_DER_MASSNAHME (Reason for redispatch) - RICHTUNG (direction of redispatch) - MITTLERE_LEISTUNG_MW (mean power in MW) - GESAMTE_ARBEIT (total power over time in MWh) - ANWEISENDER_UENB (requesting TSO) - BETROFFENE_ANLAGE (affected generation unit) - Redispatch_KW (redispatched generation unit)
Redispatch is used very frequently to cure congestion in the German grid. It describes the action of shutting down generation in front of a transmission grid congestion and ramping up generation behind the congestion. It is therefore of great importance to examine why redispatch is used and which patterns exist in the use of redispatch by certain grid operators. The published data is provided publicly by the German TSOs. This data is part of a larger data set on congestion in the German electricity grids from 2015 to 2017. The related datasets are referenced below. The publication of this data set was supported by the German Research Foundation (DFG) as part of the Research Training Group GRK 2153: Energy Status Data - Informatics Methods for its Collection, Analysis and Exploitation.
PaRandShimDB v1 is part of the NMR magnet shimming database ShimDB (https://github.com/mobecks/ShimDB) and contains 8799 instances in four subsets. Data is acquired on a preclinical 650MHz magnetic resonance imaging (MRI) device (Bruker BioSpin, Ettlingen, Germany, www.bruker.com) using a custom parallel spectroscopy probehead with two channels and two 50%vv H2O/D2O samples. Each folder in PaRandShimDB v1 contains the binary processed NMR spectra of the two channels (pdata/2/), the local shim values (localshims.txt), and the raw data (rawdata.job0). For a detailed description, please refer to the referenced manuscript, or https://github.com/mobecks/ShimDB.
PaRandShimDB v1 (2 channels): A subset of the NMR magnet shimming database ShimDB
Part of the code relies on code written by J. Leibold in https://doi.org/10.5445/IR/1000130223. The computations are done in C++ using the Finite Element library deal.II; the plots then are generated with Python3. To use this code, deal.II (release 9.4.0) has to be installed, cf. https://www.dealii.org/9.4.0 In order to compile the program, open a terminal session in this folder and call "cmake -DDEAL_II_DIR=/path/to/deal.II ." Next, call "make release" and "make". Then, one can run the commands (can be done in paralell) ./main P1 ./main P2 ./main P3 ./main euler to execute the code. This performs the computations and generates the files error_space_Q1_ritz.txt error_space_Q2_ritz.txt error_space_Q3_ritz.txt error_time_ImplEuler_ritz.txt in the folder "error" containing the results of the numerical experiments. After that, the plots can be generated with the Python3 Script using in the terminal python3 wave_non_auto_error_plots.py in the folder "tikz".
This code is used for the numerical experiment in Section 6 of the preprint "Maximum norm error bounds for the full discretization of non-autonomous wave equations" by Benjamin Dörich, Jan Leibold, and Bernhard Maier.
Code to "Maximum norm error bounds for the full discretization of non-autonomous wave equations"
This file contains the data used for the paper "The application of mean averaging kernels to mean trace gas distributions" by Thomas von Clarmann and Norbert Glatthor, ACP, 2019.
Please read the Readme-file in the tar archive.
MIPAS HCN and O$_3$ data used to study the effect of mean averaging kernels
Processed micro-tomographic scan of the ant Eburopone afrc-gh01, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Crematogaster teranishii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Harpegnathos venator, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pseudolasius silvestrii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pseudoneoponera rufipes, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Atta texana, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Carebara oni, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains FAIR records which describe the tribological experiment Copper under Constant Normal Load #0027, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0027 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
This is a guide to generate the figures that have been used in the work> Inverse medium scattering for a nonlinear Helmholtz equation by Roland Griesmaier, Marvin Knöller and Rainer Mandel. You find all needed Matlab files to generate the figures. An overview: -evaluategfun_z is supposed to generate the Herglotz density g, dependent on a possible shift z\\in R^2 -Finalplots plots the figures at the end of the computation -funhandle_zAbs evaluates the function handle corresponding to the factorization method -funhanlde_zReal evaluates the function handle corresponding to the monotonicity method -getc and ToepPhi are used to evaluate the Toeplitz matrix in order to evaluate the 2d convolution from the nonlinear Lippmann Schwinger equation. Convolution is performed by using the 2d Fourier transform. -getUi_z generates incoming Herglotz fields, dependent on a possible shift z\\in R^2 -mycon is the constraint used in the optimization -NLHH evaluates the far field given an incoming field. This function uses a fixed point iteration arising from the nonlinear Lippmann Schwinger equation. -nonlinear_qh2_scaled gives the (scaled) function handle corresponding to a kite made of fused silica. The scripts Numerical_Example_Fac.m and Numerical_Example_Mon.m start the reconstruction of the kite using the factorization and the monotonicity method, respectively. The computations have been carried out on a Cluster using 32 Cores. Generating an example from scratch takes approximately 4 days. Computations have been carried out using the Matlab 2018a version. The code uses parallelization from the Matlab Parallelization Toolbox. The code uses optimization from the Matlab Optimization Toolbox.
Numerical experiments to "Inverse medium scattering for a nonlinear Helmholtz equation"
This program is intended to reproduce the results from the preprint "Robust fully discrete error bounds for the Kuznetsov equation in the inviscid limit" by Benjamin Dörich and Vanja Nikoli\'c The codes generates the lines in Figures 2, 3, 4, and 5 #### Requirements The program is tested with Kubuntu 22.04.5 and Python 3.10.12 and the following version of its modules: - numpy - 1.21.5 - matplotlib - 3.5.1 - tikzplotlib - 0.10.1 - dolfinx - 0.7.2 - ufl - 2023.2.0 - mpi4py - 3.1.3 #### Figures In the folder "codes_kuznetsov" open a console and run the following commands in seperate consoles. 1) The following can be excuted in paralell: Run "python3 c1_k1_wave_space_time.py" Run "python3 c1_k2_wave_space_time.py" Run "python3 c1_k3_wave_space_time.py" Run "python3 c1_time_k2_wave_space_time.py" Run "python3 c3_gauss_ref_comp.py" Run "python3 c4_wave_beta_conv.py" 2) When the c3_gauss_ref_comp.py has terminated, execute in paralell: Run "python3 c3_gauss_space.py" Run "python3 c3_gauss_time.py" 3) Finally, to generate the plots execute: Run "python3 c99_generate_plots.py" Run "python3 c99_generate_gauss_plots.py" After running the calculations, the files are stored as tikz and pdf files in the folder "tikz/".
The Kuznetsov equation is a classical wave model of acoustics that incorpo- rates quadratic gradient nonlinearities. When its strong damping vanishes, it undergoes a singular behavior change, switching from a parabolic-like to a hyperbolic quasilinear evolution. In this work, we establish for the first time the optimal error bounds for its finite element approximation as well as a semi-implicit fully discrete approximation that are robust with respect to the vanishing damping parameter. The core of the new arguments lies in devising energy estimates directly for the error equation where one can more easily exploit the polynomial structure of the nonlinearities and compensate inverse estimates with smallness conditions on the error. Numerical experiments are included to illustrate the theoretical results.
Numerical experiments to "Robust fully discrete error bounds for the Kuznetsov equation in the inviscid limit"
Processed micro-tomographic scan of the ant Mayaponera constricta, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Acromyrmex octospinosus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
# Thermal Statistics of Turbulent Forced Convection Pipe Flow for Azimuthally Inhomogeneous Thermal Boundary Conditions This database features thermal statistics for fluids of Prandtl numbers Pr=0.71, 0.025 and bulk Reynolds numbers of Re=5300, 11700, 19000, 37700 in a fully-developed forced convection pipe flow. The wall heat flux is prescribed to be adiabatic on one half of the pipe and constant ("halfconst") or sinusoidal ("halfsin") on the other half. The detailed description of the numerical setup and discussion of the statistics contained in this database are given in the accompanying publication: Straub, Forooghi, Marocco, Wetzel, Frohnapfel. "Azimuthally inhomogeneous thermal boundary conditions in turbulent forced convection pipe flow for low to medium Prandtl numbers". International Journal of Heat and Fluid Flow. 2019 ## Contents - Global Nusselt numbers - Wall temperature and local Nusselt number - Temperature evaluated at five azimuthal locations - Turbulent heat fluxes evaluated at five azimuthal locations - Temperature variance evaluated at five azimuthal locations - Turbulent Prandtl number
This database contains numerical results of well-resolved large-eddy simulations of azimuthally inhomogeneous thermal boundary conditions in a fully developed forced convection pipe flow. Please refer to the README for further information.
Thermal Statistics of Turbulent Forced Convection Pipe Flow for Azimuthally Inomogeneous Thermal Boundary Conditions
Über den Ablauf einer Gefriertrocknung auf Mycrometerebene gibt es bislang nur modellhafte Vorstellungen. Über einen speziellen Versuchsaufbau ist es nun möglich, Mycro-CT-Messungen während der Gefriertrocknung durchzuführen. In den gezeigten Daten wurde eine gefrorene Karottenscheibe in einen vakuumfesten, runden Plexiglascontainer gelegt, mittels einer drehbaren Absaugung evakuiert und an der Topo/Tomo-Beamline des IPS mit Synchrotronstrahlung gescannt. Dadurch konnte in einem Abstand von 5 Minuten die Porenstruktur der Karottenscheibe visualisiert werden. Auch die Unterschiede zwischen mit Eis gefüllten Poren und schon leeren, getrockneten Poren konnten aufgelöst werden. Dies macht es möglich, den Verlauf einer Gefriertrocknung zu verfolgen und nachzuvollziehen.
The development of a freeze-drying process on a micrometer scale hast not yet been visualized. With a new experimental setup, micro-CT measurements can be performed during a freeze-drying process. For the shown data, a frozen carrot disc was placed inside a round perplex container, which was evacuated through a rotatable hose. The whole container was then positioned in synchrotron radiation in the Topo/Tomo-beamline of the IPS, which enabled a full scan of the carrots pore structure each 5 minutes. Hereby, the differences between ice-filled pores and already dried, empty pores could be visualized. This enabled a visualization of the progress of a freeze-drying process.
The data is given as a .tif stack and can be viewed with Fiji/ImageJ. Simply drag and drop the file and you can scroll between the different times during drying. The time of the process is given in the form hh:mm in the top left corner. Bright structures are dense (cell walls, ice), while darker structures are less dense (vacuum, air). Notice that X and Y describe the horizontal dimensions of the carrot disc, while Z describes the height. As a result, the scan in the X-Y-layer shows a horizontal cut through the carrot, while the scan in the X-Z-layer shows a vertical cut.
In-situ micro-CT scan of a carrot disc during freeze-drying
Flüssigmetalle können als effiziente Wärmeträgerfluide für Anwendungen mit hohen Wärmelasten and mittleren bis hohen Temperaturen eingesetzt werden. Aufgrund ihres niedrigen Schmelzpunktes sind einige Gallium-basierte Legierungen flüssig bei Raumtemperatur und bieten daher vielfältige Einsatzmöglichkeiten in technischen Anwendungen. Für derartige Anwendungen ist die Kenntnis der thermophysikalischen Eigenschaften unerlässlich. In dieser Veröffentlichung werden die spezifischen thermophysikalischen Eigenschaften der nah-eutektischen flüssigen Ga-In-Sn Legierung vorgestellt. Die temperaturabhängige Dichte, die spezifische Wärmekapazität bei konstantem Druck, sowie die Wärmeleitfähigkeit werden experimentell bestimmt.
Thermophysical properties of the near eutectic liquid Ga-In-Sn (gallium (65.9 mass%), indium (20.3 mass%), tin (13.8 mass%)) alloy: - density (293.15 K <= T <= 411.15 K) - specific heat capacity at constant pressure (307.15 K <= T <= 408.15 K) - thermal conductivity (298.15 K <= T <= 403.15 K)
Liquid metals can be used as efficient heat transfer fluids for applications with high heat loads and medium to high temperatures. Due to their low melting points, some Ga-based alloys are liquid at room temperature and offer therefore various usages in technical applications. For designing such equipment, knowledge of thermophysical properties is essential. In this publication, specific thermophysical properties of the near eutectic liquid Ga-In-Sn alloy are presented. The temperature dependent density, the specific heat capacity at constant pressure as well as the thermal conductivity are determined experimentally.
Thermophysical properties of the near eutectic liquid Ga-In-Sn alloy
Im Zuge der aktuellen Bildungsdiskussion wird verstärkt auch die Notwendigkeitder Verbesserung schulischer Bildung thematisiert. Die Schule wird dabei alserziehungsleitende Institution betrachtet und stellt ein wichtiges Setting dar, umGesundheitsförderung auch in der Schule umsetzen zu können. Gut geeignetdafür ist unter anderem der Sportunterricht, in dem die Gesundheitswirksamkeitvon Bewegung und Sport für die Kinder und Jugendlichen genutzt werden kann.Im Focus steht eine zeitgemäße gesundheitlich basierte Schulsportentwicklungin Luxemburg. Die Grundlage dazu soll der im Rahmen der Studie zuerstellende Bericht zur motorischen Leistungsfähigkeit, körperlich-sportlichenAktivität und Gesundheit von Kindern und Jugendlichen liefern.
Motoriktest; Leistungsfähigkeit; Schulsportentwicklung
Forschungsprojekt Motorische Leistungsfähigkeit in Luxemburg
Im Schuljahr 2021/22 wurde im elften Jahr in Folge im Rahmen von BERLIN HAT TALENT die physische Fitness von Berliner Drittklässlerinnen und Drittklässlern mit Hilfe des Deutschen Motorik-Tests (Bös et al., 2016) untersucht. Der Fokus lag dabei auf entwicklungsbezogenen und zeitlichen Trends der motorischen Leistungsfähigkeit sowie deren Auswirkungen auf die körperliche Gesundheit im Kindesalter in Berlin. In jedem der 11 Jahre erhielten ausgewählte ö?entliche Grundschulen aus den 12 Berliner Stadtbezirken von der Berliner Schulverwaltung ein schriftliches Angebot für die Teilnahme. Die Auswahl der zu untersuchenden DrittklässlerInnen erfolgte schulweise durch eine vom Landessportbund Berlin (LSB) und der Berliner Schulverwaltung beauftragte Projektgruppe, wobei der Umfang dieser Stichprobe von Jahr zu Jahr ausgebaut wurde. Insgesamt 75.945 Berliner DrittklässlerInnen (mehr als 300 Schulen) absolvierten in ? mit schriftlicher Einverständniserklärung ihrer Eltern ? die sportmotorischen Tests. Die Erhebung der sportmotorischen Leistungen wurde einer auf die Erhebung von Sportdaten spezialisierten Firma übertragen, die diese mit nahezu unverändertem Personal über die Jahre realisiert hat.
Seit 2012 werden die beiden Testbatterien KITT+ 3-10 und DMT 6-18 in Baden-Württemberg in Kooperation zwischen KIT und Kinderturnstiftung Baden-Württemberg durchgeführt. Die Testdurchführung findet durch geschulte LehrerInnen, ErzieherInnen und ÜbungsleiterInnen statt, die ausgebildet und wissenschaftlich begleitet werden. Bei den Testaufgaben handelt es sich um die Durchführungsvarianten, die im User-Manual von MO|REdata beschrieben sind. Die Rohwerte in den einzelnen Testaufgaben (4-10 Jahre) werden in alters- und geschlechtsspezifische Referenzperzentile der bundesweiten, repräsentativen MoMo- Stichprobe eingeordnet.
This tomographic scanning transmission X-ray microscopy (STXM-CT) data was acquired at the P06 microprobe beamline of the PETRA III (Deutsches-Elektronen Synchrotron DESY, Hamburg). The sample measured during this experiment was a single wire extracted from the Pt/Rh gauzes aged under industrial ammonia oxidation conditions for 50 h of time on stream. A detailed description of the dataset can be found in the corresponding readme file and its associated publication.
In this experiment, ex situ STXM-CT was performed on single wires, with angles ranging from 0 to 360 degrees. The single wires were extracted from aged Pt/Rh gauzes treated under industrial ammonia oxidation conditions for 50 h of reaction time. The data available here contains the final and processed tomographic volumes of the wire measured at two energies above and below the Rh K-edge, at 23300 eV and 23208 eV respectively. Each 3D volume has been stacked as slices in each TIFF file provided here.
Resonant STXM-CT on single wire extracted from Pt/Rh gauzes treated under ammonia oxidation conditions for 50 h
The data are provided as tables in the two subfolders “INSEKT.zip” and “AIDA.zip”, comprising the ice nucleation experiments with the INSEKT cold-stage instrument under mixed-phase cloud conditions and with the AIDA cloud chamber under cirrus conditions. The syntax of the file names and the contents of the tables are explained in the additional info files "info_INSEKT.pdf" and "info_AIDA.pdf", which are included in the respective subfolders. The tables with the ice nucleation data can be opened in standard text editors or imported in spreadsheet programs like Microsoft Excel. The data are separated by tabs as a delimiter. The info files can be opened with Acrobat Reader.
Data sets for the research article "Heterogeneous ice nucleation ability of aerosol particles generated from Arctic sea surface microlayer and surface seawater samples at cirrus temperatures" by Wagner et al. (2021) in Atmospheric Chemistry and Physics
(geometric) INAS density as a function of temperature and ice saturation ratio in m-2 as shown in Figures 2 and 4 in Ullrich et al. (2017)
INAS density values for desert dust and soot
The data set comprises (a) all CAD files that are needed to print an isophotonic photoreactor for the precise determination of quantum yields in gas, liquid, and multi-phase photoreactions and (b) a MATLAB® toolbox named phoRex that allows the determination of spectral radiation transport efficiencies (= transport efficiencies from the light source of the isophotonic photoreactor into the reaction volume) as well as other radiation transport related performance metrices via a Monte Carlo ray tracing approach. For details on the reactor design and the simulation environment please refer to the corresponding publication (DOI: 10.1016/j.cej.2022.139204). The toolbox requires a working MATLAB® installation (2018 or later) including the MATLAB parallel computing toolbox. Installation of the toolbox is in accordance with the standard MATLAB® procedure for the installation of new toolboxes. After installation, phoRex provides an environment for Monte Carlo ray tracing simulations mapping radiation transport in 3D in channel-like geometries, for instance photoreactors. For the simulation of the isophotonic photoreactor a comprehensive live script example is given with the file example.mlx comprised in the toolbox. The example guides through the usage of the provided code in the context of quantum yield determination using the proposed isophotonic photoreactor. Further, the comprised pre-processing script preProcessQY.m lines out how simulations are set up in the provided Monte Carlo ray tracing environment. This code example can be employed to understand how to set up own simulation cases for other use cases than the simulation of the isophotonic photoreactor proposed for the accurate determination of quantum yields. For detailed information on the code structure of the Monte Carlo ray tracing approach itself, the author refers to the extensively commented source code given with the class definitions of the toolbox.
Solar driven photocatalysis represents one way to address challenges arising from the need to substitute fossil energy carriers in the world’s economy. The developments in the field of photocatalysis heavily depend on new process designs whose development require methods for the determination of quantum yields and photoreaction kinetics as well as the ability to map radiation transport in complex photoreactors. However, the field of photoreaction engineering is an underdeveloped field lacking reliable and open access tools for radiation transport simulations and standardized photoreactors for quantum yield and photoreaction kinetic measurements. With this data set both a set of CAD files for the facile fabrication of an isophotonic photoreactor for the determination of quantum yields in gas, liquid, and multi-phase photoreactions via additive manufacturing as well as a comprehensive MATLAB®-based toolbox for radiation transport simulations in photoreactors are given. The proposed photoreactor is designed in a way that its reaction volume is isophotonic, which means that the reaction volume shows low gradients in the local volumetric rate of photon absorption. The toolbox allows the determination of radiation transport efficiencies within the isophotonic photoreactor and therewith provides the basis for meaningful data evaluation of experiments conducted with the isophotonic photoreactor. Beyond this concrete use case of the provided toolbox, the toolbox can also be employed for radiation transport simulations in many other use cases. Those range from the evaluation of experiments aiming for the determination of optical properties over light source design to the optimization of photoreactors. The data set therewith not only can support the further development of high quantum yield materials by material scientists in the field of photocatalysis but also can be used by chemical engineers working on new, high efficiency photo reactors or sophisticated light sources especially designed for specific photocatalysts and/or use cases.
Sonnengestützte Fotosynthesen stellen einen Weg dar die Herausforderungen zu meistern, die aus der Notwendigkeit fossile Energieträger in der Weltwirtschaft zu ersetzen resultieren. Die Fortschritte im Bereich solarer Fotosynthesen hängen dabei stark von neuen Prozessdesigns ab. Deren Entwicklung setzt verlässliche Methoden zur Bestimmung von Quantenausbeuten und Fotoreaktionskinetiken und die Fähigkeit Strahlungstransport in Fotoreaktoren akkurat abbilden zu können voraus. Das Gebiet der Fotoreaktionstechnik ist jedoch ein wenig entwickeltes Feld, in dem es an verlässlichen und offen zugänglichen Methoden für Strahlungstransportsimulationen und standardisierten Fotoreaktoren für die Bestimmung von Quantenausbeuten und Fotoreaktionskinetiken fehlt. Mit dem vorliegenden Datensatz wird sowohl ein Satz von CAD Dateien zur Herstellung (via 3D Druck) eines Fotoreaktors für die akkurate Bestimmung von Quantenausbeuten und Fotoreaktionskinetiken als auch eine umfassende, MATLAB®-basierte Toolbox für Strahlungstransportsimulationen bereitgestellt. Der vorgeschlagene Fotoreaktor weist eine isophotonische Reaktionszone auf, was bedeutet, dass die Reaktionszone nur kleine Gradienten in der lokalen volumetrischen Photonenabsorptionsrate aufweist. Die Toolbox erlaubt die Berechnung von Strahlungstransporteffizienzen im isophotonischen Fotoreaktor und stellt damit die Basis für eine sinnvolle Datenauswertung in Experimenten mit dem vorgeschlagenen Fotoreaktor dar. Über diesen konkreten Anwendungsfall der Toolbox hinaus, kann die Toolbox auch für andere Anwendungen im Bereich Strahlungstransportsimulationen eingesetzt werden. Diese reichen von der Auswertung von Versuchen zur Bestimmung von optischen Transporteigenschaften über die Auslegung von Lichtquellen hin zur Optimierung von Fotoreaktoren. Der bereitgestellte Datensatz kann damit nicht nur die Arbeit von Materialwissenschaftler*innen im Bereich der Entwicklung von Fotokatalysatoren mit hohen Quantenausbeuten unterstützen, sondern kann auch im Rahmen der Arbeit von Chemieingenieur*innen eingesetzt werden, die die Entwicklung von effizienten Fotoreaktoren und Lichtquellen für spezifische Fotokatalysatoren oder Anwendungsfälle vorantreiben.
phoRex & QY photoreactor - Monte Carlo ray tracing in MATLAB® & quantum yield measurements
The routines RICHARD.py and RICHARD_threshold.py require a Python 3.x installation, as well as the modules imported in the scripts. It should be noted that the module global_land_mask must be installed separately, since it is not included by default as a package in python. The programs are started via the command line. The necessary and alternative arguments for starting RICHARD.py and RICHARD_threshold.py are explained either in the scripts themselves or in the associated paper. Die Routinen RICHARD.py und RICHARD_threshold.py benötigen eine Python 3.x installation, sowie die in den Skripten importierten Module. Hierbei ist zu beachten, dass insbesondere das Modul global_land_mask separat installiert werden muss, da es nicht standardmäßig als Paket in python beinhaltet ist. Gestartet wird werden die Programme über die Kommandozeile. Die notwendigen und alternativen Argumente für den Start von RICHARD.py und RICHARD_threshold.p sind entweder in den Skripten selbst oder im zugehörigen Paper erläutert.
Here, we introduce version 1.0 of the RICHARD algorithm, a Routine for the Isolation of Chemical Hotspots in Atmospheric Research Data, e.g. in satellite measurement datasets (level-2 and above) or atmospheric chemistry model output. The overall goal of the algorithm is to identify "hotspot" areas in which local enhancements of an atmospheric constituent can only occur due to strong local emissions. To detect hotspot areas, we use a mathematical method that combines spatiotemporal proxy data for calibration purposes and a selection algorithm in a novel way.
RICHARD 1.0 - Routine for the Isolation of Chemical Hotspots in Atmospheric Research Data
In this experiment, ex situ STXM-CT was performed on single wires, with angles ranging from 0 to 360 degrees. The single wires were extracted from aged Pt/Rh gauzes treated under industrial ammonia oxidation conditions for 24 h of reaction time. The data available here contains the final and processed tomographic volumes of the wire measured at two energies above and below the Rh K-edge, at 23300 eV and 23208 eV respectively. Each 3D volume has been stacked as slices in each TIFF file provided here.
This tomographic scanning transmission X-ray microscopy (STXM-CT) data was acquired at the P06 microprobe beamline of the PETRA III (Deutsches-Elektronen Synchrotron DESY, Hamburg). The sample measured during this experiment was a single wire extracted from the Pt/Rh gauzes aged under industrial ammonia oxidation conditions for 24 h of time on stream. A detailed description of the dataset can be found in the corresponding readme file and its associated publication.
Resonant STXM-CT on single wire extracted from Pt/Rh gauzes treated under ammonia oxidation conditions for 24 h
All metadata are included in the pdf document "DisChaIgn-Explanations.pdf"
In the frame of the PRESLHY project several ignited hydrogen blow-down experiments were made with the DisCha-facility at KIT. After some reference tests at ambient temperature, the hydrogen to be released was cooled down to cryogenic temperatures (approx. 80 K) using liquid nitrogen. The pressure in the 2.7 liter storage was varied from 0.5 to 20 MPa and the release nozzle from 1 to 4 mm. For identifying the ignition timing and location with strongest pressure and thermal effects, the ignition time after release initiation and the location close to the jet axis were varied widely. For open benchmarking of post experiment CFD simulations of the transient combustion processes the most relevant parameter setting was identified and the associated measurement data and a Powerpoint presentation with instructions on the use of the data are offered herewith.
PRESLHY Experiment series E5.1 (Ignited Discharge) results – Benchmarking
The research data contains all the raw data for producing the results reported in the published manuscript.
Figures for RSC Advances publication on Rice paper carbon paper (10.1039/D0RA01447H)
The data set consists of a csv file containing the coordinates of the pattern selected by the user and the ICON-ART simulation used in the corresponding paper, consisting of 730 individual model time steps. With the model simulation and csv file, the user can follow the instructions for the command line operations in the paper to run the RICHARD algorithm.
Here, we provide the input dataset, used for the introduction of version 1.0 of the RICHARD algorithm, a Routine for the Isolation of Chemical Hotspots in Atmospheric Research Data, e.g. in satellite measurement datasets (level-2 and above) or atmospheric chemistry model output. The overall goal of the algorithm is to identify "hotspot" areas in which local enhancements of an atmospheric constituent can only occur due to strong local emissions. To detect hotspot areas, we use a mathematical method that combines spatiotemporal proxy data for calibration purposes and a selection algorithm in a novel way.
Input Dataset for RICHARD 1.0 - Routine for the Isolation of Chemical Hotspots in Atmospheric Research Data
The library enables the modeling of hydraulic networks in Modelica development environments. For this purpose, the library contains models with DIN ISO 1219-like representations for hydraulic components. These can be parameterized and linked to other hydraulic components. A link to components from other Modelica libraries allows for the holistic creation of mechanical-hydraulic and electro-hydraulic systems. The pressure build-up can be dynamically simulated by solving the pressure build-up equations stored in hydraulic nodes. Using the Functional Mock-up Interface (FMI), the hydraulic model created with this library can be coupled with models created in other simulation environments and a co-simulation can be performed.
Simulated concentration data for birch pollen, birch SPP and hydrometeors and atmospheric variable (Part 7)
"Testprofil zur Erfassung spezieller sportmotorischer Eigenschaften der Felskletterer" in Sportwissenschaft,17 (1987), 4 , S. 423-438.An 56 Felskletterern wurden insgesamt 21 sportmotorische Tests zur Erfassung des sportmotorischen Eigenschaftsniveaus durchgefuehrt. Leistungsrelevanz darf den in den Tests Klimmzuege, Beugestuetze, Seitgraetschen, Beinspreizen vorwaerts, Rumpfbeugen vorwaerts, Beidbeiniges Stehen auf dem Rollbrett, Beidarmiges Haengen, Einarmiges Haengen und Einarmiger Beugehang geprueften motorischen Eigenschaften zugesprochen. Faktorenanalytisch liegen den leistungsrelevanten Merkmalen die Eigenschaften Gelenkigkeit in Hueftgelenk und Lendenwirbelsaeule, Kraft der Finger- und Armbeuger sowie Kraft der Armstrecker zugrunde. Testbatterien, die bis zu 50 der Varianz der Kletterleistung erklaeren, werden vorgestellt.
Testprofil Erfassung sportmotorischer Eigenschaften von Felskletterern
Simulated concentration data for birch pollen, birch SPP and hydrometeors and atmospheric variable (Part 11)
CAPPA is an open source algorithm to automatically and consistently extract quantitative action potential parameters from various types of cardiomyocytes.
German Centre for Cardiovascular Research
This code has been used for the numerical experiments in the thesis "On dynamical low-rank integrators for matrix differential equations" by Stefan Schrammer, see https://www.doi.org/10.5445/IR/1000148853.
#### Instructions: The scripts inside the subfolders are intended to reproduce the figures from the thesis> On dynamical low-rank integrators for matrix differential equations. by Stefan Schrammer We provide two different versions of the code: - Code_Prom_wo_ref.zip provides the scripts for computing and plotting the data for all numerical experiments. - Code_Prom_incl_ref.zip addtionally provides the reference solutions to all considered problems as hdf5-files. ##### Requirements The codes are tested with Ubuntu 20.04.2 LTS and Python 3.8.5 and the following version of its modules: numpy 1.19.2 scipy 1.5.2 numba 0.51.2 colorama 0.4.4 h5py 2.10.0 matplotlib 3.3.2 tikzplotlib 0.9.6 ##### Generation of figures (tex files containing the data are also created) In the folder fracginz open a console and run the commands 1. to create the data for Figures (7.1) and (7.2) python3 fgl.py 2. to create Figures (7.1) and (7.2) python3 fgl_results.py In the folder fracschr open a console and run the commands 3. to create the data for Figure (7.3) python3 fsr.py 4. to create Figure (7.3) python3 fsr_results.py In the folder laserplasma open a console and run the commands 5. to create the data for Figure (7.4) python3 lpi_hom.py 6. to create Figure (7.4) python3 lpi_hom_plots.py 7. to create the data for Figures (7.5), (7.6), and (7.7) python3 lpi.py 8. to create Figures (7.5), (7.6), and (7.7) python3 lpi_globalerr.py python3 lpi_1d_plot python3 lpi_svals_maxint.py In the folder sinegordon open a console and run the commands 9. to create the data for Figures (7.8) and (7.9) python3 sineg.py 10. to create Figures (7.8) and (7.9) python3 sineg_globalerr_ranks.py If the reference solutions shall be recomputed, uncomment the line methods.append(...) at the beginning of the scripts fgl.py, fsr.py, lpi.py, and sineg.py, respectively.
Numerical experiments for "On dynamical low-rank integrators for matrix differential equations"
This dataset provides the supplementary MIPAS VMR data and resulting climatology of atmospheric circulation fields 2002-2012 for publication https://doi.org/10.5194/acp-21-8823-2021, using the software provided in 10.5445/IR/1000127728.
This dataset of MIPAS/ENVISAT VMR data and corresponding atmospheric 2D circulation climatology supplements the publication 10.5194/acp-2019-704 and was computed using the ANCISTRUS software provided in 10.5445/IR/1000127728. The climatology of circulation covers the years 2002-2012 in monthly fields averaged over all available years. The figures used in the publication are linked into the directory Figures/. The data provided is licensed under the terms of CC BY-NC-ND 4.0 International, see file LICENSE.
Supplement: MIPAS VMR data and climatological circulation fields for publication 10.5194/acp-2019-704
Reconstructed ptychographic X-ray computed tomography data set acquired at Diamond Light Source, instrument I13-1 (proposal MG24079-1) of the activated hierarchical porous sample Ni/Al$_{2}$O$_{3}$-ha. The data set is part of an artificial coking study of nickel based catalysts, which were investigated by ptychographic X-ray computed tomography. Detailed information regarding sample preparation and experimental conditions are available in the respective publication and electronic supplementary information.
Reconstructed ptychographic X-ray computed tomography data of an activated hierarchical porous Ni/Al$_{2}$O$_{3}$ catalyst
This file contains the raw data use in the publication 'Uniaxial Pressure Control of Competing Orders in a High Temperature Superconductor' by H.-H. Kim, S. M. Souliou, M.E. Barber, E. Lefrancois, M. Minola, M. Tortora, R. Heid, N. Nandi, R. A. Borzi, G. Garbarino, A. Bosak, J. Porras, T. Loew, M. König, P.M. Moll, A. P. Mackenzie, B. Keimer, C. W. Hicks and M. Le Tacon. Source code for the first principle calculations is also provided, alongside with the instruction to use them. This code was developed at the Karlsruhe Institute of Technology by Rolf Heid. Any use of the software beyond the context of this publication requires permission of the author.
Uniaxial Pressure Control of Competing Orders in a High Temperature Superconductor
Simulated concentration data for birch pollen, birch SPP and hydrometeors and atmospheric variable (Part 3)
Codebook and Dataset for Study: "Effect of emotionalizing sounds on the estimation and evaluation of displayed safety distances"
Codebook and Dataset of Paper "Effect of emotionalizing sounds on the estimation and evaluation of displayed safety distances"
Coppenolle v., H., Boeths, W., Goris, M. & Refelgham v., F. (1983). Der diagnostischeund prognostische Wert einzelner sportmotorischer Tests für den Fosbury-Flop.Lehre der Leichtathletik, 6, 179-182.
Data needed for the plots and analysis in the review paper. The scripts are provided here as tarball from https://github.com/aikovoigt/cloud-radiation-circulation-review, git commit 7f06022fe62b3025a090255816452c665914f1ce.
Data and scripts for "Clouds, radiation and atmospheric circulation in the present-day climate and under climate change"
Data from ExINP_GVB24 campaign taking place from 2024-04-02 - 2024-06-05 at Gruvebadet Atmosphere Laboratory. This dataset represents the processed data (Level 1) as created by the PIA software v2.1.0 (https://doi.org/10.5281/zenodo.15592850).
Data from CALISTHO21 campaign taking place from 2021-10-12 - 2021-11-29 at Mt. Helmos HAC2 station. This dataset represents the processed data (Level 1) as created by the PIA software v2.1.0 (https://doi.org/10.5281/zenodo.15592850).
Data from CORONA campaign taking place from 2021-03-25 - 2021-05-02 at KIT Campus North. This dataset represents the processes data (Level 1) as created by the PIA software v2.1.0 (https://doi.org/10.5281/zenodo.15592850).
Dataset of High-fidelity control of a ${}^{13}$C nuclear spin coupled to a tin-vacancy center in diamond
Data from ExINP_GVB campaign taking place from 2023-03-15 - 2023-04-10 at Gruvebadet Atmosphere Laboratory. This dataset represents the processed data (Level 1) as created by the PIA software v2.0.2 (https://doi.org/10.5281/zenodo.15592786).
Data from ExINP_ZEP campaign taking place from 2023-04-26 - 2024-04-09 at Zeppelin Observatory. This dataset represents the processed data (Level 1) as created by the PIA software v2.0.2 (https://doi.org/10.5281/zenodo.15592786).
Data from CORONA campaign taking place from 2021-04-09 - 2021-04-29 at KIT Campus North. This dataset represents the processed data (Level 1) as created by the PIA software v2.1.0 (https://doi.org/10.5281/zenodo.15592850).
Plain text files with data shown in Fig. 4 and Fig. 10
Data related to "Dielectric waveguide setup tested with a superconducting millimeter-wave Fabry-Pérot interferometer at milli-Kelvin temperatures"
Three .xlsx-files are provided. Each file consists of multiple worksheets that contain daily pollutant concentrations, whereby the corresponding date is indicated by the worksheet title in DD-MM-YYYY format. No post-processing of the data has been performed. Note that few individual readings of the UFP-concentration may be affected by measurement artifacts (unplausibly high or negative concentrations) and should be discarded. "UFP-Wind-Data" contains 15-minute average UFP-concentrations and wind data (wind speed and direction) for the measurement period ranging from Nov. 20, 2024 until Mar. 30, 2025. Note that the wind data is only an indicative measurement close to the ground and may be influenced by the local building geometry. "PM2_5-Data" contains 15-minute average PM2.5-concentrations for the measurement period ranging from Nov. 20, 2024 until Mar. 30, 2025. "Examples_Aerosol_Dispersion" contains 1-minute average UFP-concentrations and wind data (wind speed and direction) for two exemplary events with increased concentration levels during the measurement period. Stationary temperature inversions ranging from Feb. 08, 2025 - Feb. 13, 2025 and the effect of New-Year's fireworks. timestamp = Time (CET) respectively UTC+1; E.g. 23:15:00 CET corresponds to 00:15:00 AM local time in Germany and contains the 15-minute average data ranging from 00:00:00 AM up 00:15:00 AM. aerosol_cn = Total particle number concentration (UFP) measured by the AQ Guard Smart 2000; Unit: 1/cm³ weather_wind_speed = Local wind speed; Unit: km/h weather_wind_direction = Local wind direction; Unit: ° pm2_5 = Particle concentration of the PM2.5 fraction measured by the Fidas Smart 100; Unit: µg/m³
The concentration of ultrafine particles (UFP) and fine dust (PM2.5) in ambient air was measured in a residential area near Karlsruhe during the time period of Nov. 20, 2024 until Mar. 30, 2025. The used aerosol measurement technology were an AQ Guard Smart 2000 (UFP) and a Fidas Smart 100 (PM2.5) of the manufacturer Palas. In addition to the pollutant concentrations, local wind speed and direction were measured.
Im Zeitraum vom 20.11.2024 bis zum 30.03.2025 wurde in einem Wohngebiet bei Karlsruhe die Belastung der Atemluft mit ultrafeinen Partikeln (UFP) und Feinstaub der PM2,5 Fraktion gemessen. Die verwendeten Messgeräte waren ein AQ Guard Smart 2000 (UFP) und ein Fidas Smart 100 (PM2,5) der Firma Palas. Zusätzlich zur Konzentration der Luftschadstoffe wurde auch die örtliche Windgeschwindigkeit und Windrichtung gemessen.
Measurement data of UFP-concentrations and PM2.5-concentrations during the winter months (Nov. 20, 2024 - Mar. 30, 2025) in a residential area near Karlsruhe
Research data for Chapter 6 in the PhD Thesis "The Microphysical and Radiative Interactions of Arctic Multilayer Clouds". A README file details the data required for each plotting script. The dataset includes NetCDF files based on three simulations: Ref, Above Off, and Below Off, please refer to the thesis for the details. Post-processed data for figures 6.1-6.10 (B1-B4) and respective plotting scripts are included. For the raw data please get in touch with the author.
Research Data for the PhD Thesis "The Microphysical and Radiative Interactions of Arctic Multilayer Clouds"
These files contain the data used for the preprint "The effect of spanwise heterogeneous surfaces on mixed convection in turbulent channels" by K. Schäfer, B. Frohnapfel and J. P. Mellado. The dataset contains the global quantities, 1d- and 2d profiles of all simulations in separate files. The python scripts "plot_global.py", "plot_1d_profiles.py" and "plot_2d_profiles.py" illustrate how to read the datasets and how to plot selected figures from the paper. References: Please provide a reference to the article above when using this data. Please direct questions regarding numerical setup/data to Kay Schäfer
Dataset for "The effect of spanwise heterogeneous surfaces on mixed convection in turbulent channels"
Model results of solar extreme scenarios with the KASIMA model
COM3D is a three-dimensional code for turbulent reactive flow simulations in complex 3D-geometries. The Favre averaged Navier-Stokes equations are solved together with different models for turbulence and chemical kinetics. COM3D employs different flow solvers. Advanced numerical procedures are provided to facilitate the grid generation for complex 3D computational domains. COM3D was validated on experiments performed on different scales, with and without chemical reaction. Generally good agreement was observed for the important physical quantities. The code was used for combustion analysis of different application problems, ranging from small-scale laboratory tests up to large-scale reactor containment calculations.
Collection of the manuals for program suite COM3D.
COM3D: Turbulent Combustion Code User’s Guides
Climate model simulation data for publication "No Cookie for climate change" by Aiko Voigt and Nicole Albern, accepted in Geophysical Research Letters; more info is given in the README file
Climate model simulations for publication "No Cookie for climate change"
Processed micro-tomographic scan of the ant Strumigenys denticulata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Neivamyrmex pseudops, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Formica neogagates, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pheidole afrc-075, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Ectomomyrmex javanus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Tabletop Microplotter - Metallic Sample Holder (in-situ Curing Example)
Processed micro-tomographic scan of the ant Myrmicaria opaciventris, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cylindromyrmex brasiliensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Camponotus quadrinotatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pheidole rhea, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Data for "Helitronics as a potential building block for classical and unconventional computing"
Lehrstuhl IPD Böhm (Lehrstuhl IPD Böhm), Karlsruher Institut für Technologie (KIT)
These are experimental data for the paper: Pawel Bielski, Lena Witterauf, Sönke Jendral, Ralf Mikut, Jakob Bach. 2024. Quantifying Domain-Application Knowledge Mismatch in Ontology-Guided Machine Learning, 16th International Conference on Knowledge Engineering and Ontology Development (KEOD), Porto, Portugal. The data consist of the results from the experiments and the corresponding code to create plots used in the paper.
## Folder Structure - `Use Case 1 Computer Vision`: contains jupyter notebook files to compute refinement scores for the three image classification dataset, the pickle files with the computed refinement scores, and the file to generate plots used in the paper. - `Use Case 2 Healthcare`: contains two subfolders - `experiments_code` contains the code used to reproduce the experiments on the MIMIC-III Dataset. - `experimental_results_code` contains the jupyter notebook files to compute the refinement scores for the next sequence prediction and risk prediction tasks, the pickle files with the computed refinement scores, and the file to generate plots used in the paper.
Experimental Data for the Paper "Quantifying Domain-Application Knowledge Mismatch in Ontology-Guided Machine Learning"
Institut für Theoretische Teilchenphysik
# Ancillary files of the PhD thesis ``Meson width differences and asymmetries'' by Marvin Gerlach This folder contains several ancillary files in Mathematica readable form. To load them just use "Get[fileName]" and all necessary information will be printed. The following files are available: * dB2MatrixElemens.m: One- and two-loop matrix elements of the Delta B=2 operators Q, Q_S and Q_S~ with a gluon mass as IR regulator. * Gamma12-Result.m: Final results for the matching coefficients H(z) and H_S~(z) of Gamma_{12} up to O(alpha_s^3) and to leading order in z * MassiveGluonMasterIntegrals.m: Analytic results of the master integrals which include a non-vanishing gluon mass. * R0-SupressionFactors.m: The one- and two-loop results for alpha_Q and alpha_{Q_S~} which recover the power supression of R_0 * ZdB2-Q-QS-QSt.m: Renormalization matrix for the Delta B=2 operator basis up to two-loop order with the physical operators Q, Q_S and Q_S~ * ZdB2-Q-QS-R0.m: Renormalization matrix for the Delta B=2 operator basis up to two-loop order with the physical operators Q, Q_S~ and R_0
Ancillary files for "Meson width differences and asymmetries - Calculations of higher order contributions to neutral B-meson mixing"
Institut für Nanotechnologie, Karlsruhe Nano Micro Facility, Technische Universität Darmstadt
Institut für Nanotechnologie, Werkstoffkunde
Institut für Nanotechnologie, Werkstoffkunde, Karlsruhe Nano Micro Facility
Transformation Kinetics of LiBH$_{4}$–MgH$_{2}$ for Hydrogen Storage
Die vorliegenden Dateien entstanden während meiner Tätigkeit als wissenschaftlicher Mitarbeiter am Institut für Technische Mechanik, Bereich Dynamik/Mechatronik des Karlsruher Instituts für Technologie (KIT) und beinhalten verschiedene Verifikationsbeispiele meiner Doktorarbeit "Thermomechanischer Kontakt und stochastische Dynamik gleitender Körper mit rauen Oberflächen (doi:10.5445/KSP/1000158062)".
Matlab-Code zur Dissertation "Thermomechanischer Kontakt und stochastische Dynamik gleitender Körper mit rauen Oberflächen" (DOI: 10.5445/KSP/1000158062)
Processed micro-tomographic scan of the ant Ophthalmopone berthoudi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Strongylognathus testaceus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Lasius japonicus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Produktionstechnik (WBK), Karlsruher Institut für Technologie (KIT)
This dataset contains process data from around six hours of milling operations performed on a three-axis horizontal milling machine (DMC 60 H, Deckel Maho). To reflect the diversity and variability of real-world milling scenarios, components, tools and machining strategies relevant to the industry were used. A total of 33 milling experiments are included, covering three component types and eight anomaly types. To support full reproducibility and benchmarking applications, the dataset includes NC programs, CAD models and detailed documentation. During processing, signals were acquired from the Siemens SINUMERIK 840D CNC system via the SINUMERIK Edge app 'Analyse MyWorkpiece/Capture', which enables the export of high-frequency data at 500 Hz in JSON format (.json). Additionally, force and acceleration data recorded by external sensors is provided in MATLAB format (.mat). Each experiment also includes a combined MATLAB file in which all recorded signals are synchronized.
This dataset contains process data from around six hours of milling operations performed on a three-axis horizontal milling machine (DMC 60 H, Deckel Maho). The data was collected in a laboratory setting using industry relevant components, tools and machining strategies in order to reflect the diversity and variability of practical milling scenarios. Controller-side process signals were acquired from the Siemens SINUMERIK 840D CNC system via the SINUMERIK Edge app "Analyze MyWorkpiece/Capture", which enables high-frequency data export at 500 Hz. Additional force measurements were recorded using a force measurement platform (Kistler Type 9255C), and accelerations were captured using a sensor mounted on the main spindle (PCB Type 356A33). The force platform signals were amplified using a charge amplifier (Kistler Type 5015A1000 K) before being acquired at a sampling rate of 10 kHz useing a data acquisition card (Data Translation DT9836; referred to as DAC). The acceleration sensor was connected to the same DAC via a Kistler coupler (type 5122). Raw data from the force and acceleration sensors is provided in the form of MATLAB timetable files (.mat). The process signals from the Siemens SINUMERIK Edge are stored in JSON format (.json). Preprocessed Edge data is also available as structured CSV files: - hfdata.csv: high-frequency controller signals (e.g., position, current, torque) for the X, Y and Z axes as well as the main spindle - hfblockevent.csv: executed NC code extracted from the machine log - header.csv: recording metadata In addition, each experiment includes a consolidated MATLAB file (.mat), in which all available Edge and DAC signals are synchronized and stored as a single timetable object. To achieve this, the 500 Hz Edge signals were interpolated using the PCHIP (Piecewise Cubic Hermite Interpolating Polynomial) method to match the 10 kHz resolution of the sensor data. This unified file allows signals to be compared directly across all sources and simplifies further analysis. A MATLAB figure (Sync_Plot.fig) is also included to visualize and confirm the successful synchronization between the sensor and Edge signals. A total of, 33 milling experiments are included, covering three component types and eight anomaly types. NC programs, 3D CAD models (.stp), and detailed documentation are provided to support full reproducibility and benchmarking applications. -------------------------------------------------------------------------------------------------------------------------- Documents: - Dataset: All data files organized by component type and trial ID - Descriptive: - Design of Experiment (process parameters and configuration details for each experimental trial) - Cutting Tool information - Part description: NC programs executed during the experiments (G-code) and 3D CAD models (.stp), organised by component type Experimental Setup: - Machine: DMC 60 H (retrofitted 3-axis horizontal milling center) - Materials: S235JR (unalloyed structural steel), Al2007 T4 (aluminum alloy), POM-C (polyoxymethylene copolymer) - Cutting Tools: - HSS-Co8 end mill (TiAlN coating, Ø 20 mm, k10 tolerance) - Solid carbide end mill (TiSi coating, Ø 10 mm, f8 tolerance) - Solid carbide end mill (uncoated, Ø 5 mm, e8 tolerance) - Workpiece blank dimensions: 150x75x50mm
Der vorliegende Datensatz enthält etwa sechs Stunden Prozessdaten, die bei Fräsbearbeitungen auf einer DMC 60 H von Deckel Maho aufgezeichnet wurden. Um die Vielfalt und Variabilität realer Fräsbearbeitungen widerzuspiegeln, wurden branchenrelevante Bauteile, Werkzeuge und Bearbeitungsstrategien verwendet. Insgesamt sind 33 Fräsversuche enthalten, die drei Bauteiltypen und acht Anomalietypen abdecken. Der Datensatz umfasst NC-Programme, CAD-Modelle und eine detaillierte Dokumentation, um eine vollständige Reproduzierbarkeit und eine Anwendung als Benchmark zu ermöglichen. Während der Bearbeitung wurden die Signale der SINUMERIK 840D Steuerung über die SINUMERIK Edge App „Analyse MyWorkpiece/Capture” erfasst. Diese ermöglicht einen Datenexport mit 500 Hz im JSON-Format (.json). Zusätzlich werden die von externen Sensoren aufgezeichneten Kraft- und Beschleunigungsdaten im MATLAB-Dateiformat (.mat) bereitgestellt. Jeder Versuch umfasst zudem eine MATLAB-Datei, in der alle aufgezeichneten Signale synchron abgespeichert sind.
A Multimodal Dataset for Process Monitoring and Anomaly Detection in Industrial CNC Milling
The electrochemical Shono oxidation of N-formylpyrrolidin: Mechanistic insights from the computational ferrocene electrode model and cyclic voltammetry: SI (after rev)
Release notes: https://git.scc.kit.edu/mpp/mpp/-/tags/3.1.1
Processed micro-tomographic scan of the ant Pseudomyrmex fiebrigi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant OUTGROUP_Chalybion japonicum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Strumigenys kumadori, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Release notes: https://git.scc.kit.edu/mpp/mpp/-/tags/3.2.0
Processed micro-tomographic scan of the ant Oxyepoecus aff vezenyii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Odontomachus kuroiwae, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Eburopone afrc-za02, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Eciton quadriglume, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cyphomyrmex flavidus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Myrmica rubra, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This data set contains experimental data from continuous aqueous two-phase flotation (ATPF) experiments. The laboratory setup for data generation is described in detail in our previous publication (DOI: https://doi.org/10.1016/j.ces.2024.120287, KITopen-ID: 1000171714). The data-folder contains experimental data from continuous ATPF experiments (folder: exp_data) and additional raw data (folder: raw). The contents of each folder are described below: exp_data: Each data set of an experiment contains a meta-data file (.json-file) and a .csv-file with experimental data. The files contain the following data: - meta-data file: - cF_bot_0: feed concentration of enzyme in the bottom phase. - V_R: volume ratio of top phase to bottom phase. - online_measurement: set to "true" in case of online measurements. - experiment_type: the experiment type of all experiments in this data set is "constant_u", because all experiments were performed with constant gas flow rates and volume flows. - .csv file (analogous to our previously published dataset (DOI: 10.35097/pn5npep7vfjn92fe, KITopen-ID: 1000174648) - t: flotation time in min. - R_top, T_bot: recirculation of top and bottom phase (R=1: full recirculation; R=0: no recirculation (continuous operation mode)). - c_bot_3, c_top_3: enzyme concentration in compartment 3 in % (w/w). The top phase concentration is measured by online UV/Vis spectroscopy, while the bottom phase concentration is calculated by a mass balance equation). - kappa_bot_1, kappa_bot_2, kappa_bot_3: electrical conductivities in mS/cm. - Qd_bot, Qd_top: volume flows of each phase in mL/min. - Vd_1, Vd_2, Vd_3: volume flows of the gassing units in mL/min. raw: This folder contains measurement data of the mixing zone height at different gas flow rate combinations (Excel: raw data_height mixing.xlsx, CSV: raw data_height mixing.csv) and the Sauter mean diameter (Excel: raw data_sauter mean diameter.xlsx) for the three porous media glass membrane (v_d32_glass.txt), metal sieve (v_d32_metal.txt) and twill weave (v_d32_twill.txt). The Sauter mean diameters are the raw data from our previous publication (DOI: https://doi.org/10.1016/j.ces.2020.116391, KITopen-ID: 1000129339)
Experimental data of continuous aqueous two-phase flotation (ATPF) with constant process parameters
This dataset contains FAIR records which describe the tribological experiment Copper under Variable Normal Load #0024, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Variable Normal Load n0024 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
In dieser Arbeit werden zwei Aspekte der dynamischen Natur von proteinen mit Hilfe von Enhanced Sampling Methoden untersucht. Zunächst wurden Mikrosekunden-Molekulardynamiksimulationen von Harzianin HK VI (HZ) in Wechselwirkung mit einer Dimyristoylphosphatidylcholin-Doppelschicht unter der Bedingung eines niedrigen Peptid-zu-Lipid Verhältnisses durchgeführt. Zwei Orientierungen des HZ-Moleküls in der Doppelschicht wurden gefunden und charakterisiert. In der Ausrichtung senkrecht zur Doppelschicht-Oberfläche induziert HZ eine lokale Ausdünnung der Doppelschicht. Wird HZ parallel zu seiner Oberfläche in die Doppelschicht eingesetzt, befindet es sich nahezu vollständig im hydrophoben Bereich der Doppelschicht. Eine ausgedehnte Sampling lieferte qualitative Ergebnisse und zeigte, dass die letztgenannte Orientierung ein globales Minimum der freien Energie ist. Die sekundäre Struktur von HZ wurde charakterisiert, und es wurde festgestellt, dass sie sich in der 3_10-helikalen Familie befindet. Zweitens wurde die Thiol-Disulfid-Austauschreaktion in Modellsystemen und kleinen Peptiden mit Hilfe eines kombinierten QM/MM-Metadynamikschemas untersucht. Die freien Energielandschaften dieser Systeme wurden generiert, und liefern die Strukturen von Reaktanden und Produkten mit atomaren Details, sowie die Höhen der freien Energiebarrieren (oder Aktivierungsenergien), die dem spontanen Austausch entgegenwirken. Ein QM/MM-Schema mit rein klassischem Wasser erwies sich als effiziente und präzise Kompromisslösung. Die Berechnungen ergaben den erwarteten symmetrischen Trisulfid-Übergangszustand und seine Struktur und Energiebarriere waren für die intramolekularen Thiol-Disulfid-Reaktionen in Modellpeptiden sehr ähnlich. Während CXC-Disulfidbindungen als sterisch ungünstig eingestuft wurden, wurde CXXC gegenüber längerfristigen Disulfidbindungen entlang des Peptidrückgrats bevorzugt, was der hohen Häufigkeit von CXXC-Motiven in Redox-Proteinen entspricht. Eine direkte Anwendung auf ein reales Protein wurde ebenfalls in Form von Force-Clamp Simulationen durchgeführt. Das Protokoll ermöglichte die Simulation der Disulfidbindungsisomerisierung in einem einzelnen Protein und reproduzierte die in einem AFM-Experiment beobachtete Regioselektivität.
In this work two aspects of the dynamic nature of proteins are investigated using enhanced sampling techniques. Firstly, microsecond molecular dynamics simulations of harzianin HK VI (HZ) interacting with a dimyristoylphosphatidylcholine bilayer were performed at the condition of low peptide-to-lipid ratio. Two orientations of HZ molecule in the bilayer were found and characterized. In the orientation perpendicular to the bilayer surface, HZ induces a local thinning of the bilayer. When inserted into the bilayer parallel to its surface, HZ is located nearly completely within the hydrophobic region of the bilayer. An extended sampling simulation provided qualitative results and showed the latter orientation to be a global minimum of free energy. The secondary structure of HZ was characterized, and it was found to be located in the 3_10 -helical family. Secondly, the thiol–disulfide exchange reaction in model systems and small peptides was investigated by means of a combined QM/MM metadynamics scheme. The free energy landscapes of these systems were generated, providing the structures of reactants and products with atomic detail, as well as the heights of free energy barriers (or, activation energies) opposing the spontaneous exchange. A QM/MM scheme with purely classical water turned out to be an efficient and accurate compromise solution. The calculations yielded the expected symmetric trisulfide transition state, and its structure and energy barrier were very similar for the intramolecular thiol–disulfide reactions in model peptides. While CXC disulfide bonds were found sterically unfavorable, CXXC were favored over longer-range disulfide bonds along the peptide backbone, in line with the high abundance of CXXC motifs in redox proteins. A direct application in a real protein was also performed through force-clamp simulations. The protocol allowed for simulation of the disulfide bond isomerization in a single protein, reproducing the regioselectivity observed in an AFM experiment.
The data is storedd divided into three separate folders, which follow the structure of the thesis.
Investigation of the dynamic nature of proteins with enhanced sampling techniques
Processed micro-tomographic scan of the ant Tetramorium peringueyi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Anochetus horridus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tetraponera rufonigra, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Helmholtz-Zentrum Berlin für Materialien und Energie (HZB)
This is the data generated during and/or analyzed during the study "Industrialization of Perovskite Solar Cell Fabrication: Strategies to Achieve High-Throughput Vapor Deposition Processes". The data is attributed to each figure in the original publicaton. The code for simulating the production throughput has been deposited and is freely available at https://github.com/JulianPetry/Throughput-calculation. The code in the repository is associated with a GNU General Public License (GPL 3.0).
Vapor phase deposition processes hold great potential for industrializing the deposition of perovskite-based absorbers, offering a pathway to commercialization. Specifically, the scalability, ability to produce conformal coatings, and established use in industrial processing of optoelectronic devices lead to the assumption that thermal sublimation is inherently suitable for commercial-scale perovskite solar cell production. However, ensuring economic viability requires a detailed assessment of achievable production throughputs, a key factor in achieving cost-effective large-scale manufacturing. This work bridges the gap between research focus and industry needs by introducing and analyzing three strategies to increase production throughput in an industrial context: (1) We investigate the thermal stability of key perovskite precursor materials to provide guidelines for safe operation by mitigating decomposition risks. (2) We critically evaluate the industrial feasibility of common deposition modes, including co-deposition and sequential deposition as scaling from laboratory to industrial production introduces new challenges in terms of material utilization and compositional material homogeneity. In addition, we analyze the static deposition rate profiles of key perovskite precursor materials and use this data to conceptualize a linear sublimation source. (3) A simulation-based approach allows an estimation of the horizontal scale-out required to achieve a production throughput of 1000 M10-size wafers per hour, which is considered the minimum threshold for pilot-scale production. This analysis explores strategies to achieve a fabrication throughput that is three orders of magnitude higher than the current academic discussion of accelerated vapor phase deposition based on laboratory-scale equipment. The sublimation of the organic precursor material is identified as a critical bottleneck and alternative deposition methods for achieving high production throughput are discussed. By addressing these key technical and economic challenges, our study offers practical insights for the transition of sublimation-based perovskite deposition from laboratory research to industrial-scale manufacturing.
Research data for: Petry et al. - Industrialization of Perovskite Solar Cell Fabrication: Strategies to Achieve High-Throughput Vapor Deposition Processes
Institut für Nanotechnologie, Helmholtz-Institut Ulm, Karlsruhe Nano Micro Facility, Center for Electrochemical Energy Storage Ulm & Karlsruhe
High entropy oxides (HEOs) with chemically disordered multi-cation structure attract intensive interest as negative electrode materials for battery applications. The outstanding electrochemical performance is attributed to the high-entropy stabilization and so-called ‘cocktail effect’. However, the configurational entropy is insufficient to drive the structural reversibility of the room-temperature thermodynamically metastable HEO during conversion-type battery reaction, and the ‘cocktail effect’ has not been explained thus far. This work unveils the multi-cations synergy of the HEO Mg0.2Co0.2Ni0.2Cu0.2Zn0.2O at atomic and nanoscale during electrochemical reaction and explains the ‘cocktail effect’. The more electronegative elements form an electrochemically inert 3-dimensional metallic nano-network enabling electron transport. The electrochemical inactive cation stabilizes an oxide nanophase, which is semi-coherent with the metallic phase and accommodates Li+ ions. This self-assembled nanostructure enables stable cycling of micron-sized particles, which bypasses the need for nanoscale pre-modification required for conventional metal oxides in battery applications. This demonstrates elemental diversity is the key for optimizing multi-cation electrode materials.
Information about the data format and software suitable to open the data is available in the subdirectory 'description'
Synergy of cations in high entropy oxide lithium ion battery anode
Processed micro-tomographic scan of the ant Atopomyrmex mocquerysi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Ocymyrmex barbiger, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains FAIR records which describe the tribological experiment Copper under Constant Normal Load #0006, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0006 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Improvements to the signal-to-noise ratio of magnetic resonance detection lead to a strong reduction in measurement time, yet as a sole optimization goal for resonator design, it would be an oversimplification of the problem at hand. Multiple constraints, for example for field homogeneity and sample shape, suggest the use of numerical optimization to obtain resonator designs that deliver the intended improvement. Here we consider the 2D Lenz lens to be a sufficiently broadband flux transforming interposer between the sample and a radiofrequency (RF) circuit and to be a flexible and easily manufacturable device family with which to mediate different design requirements.We report on a method to apply topology optimization to determine the optimal layout of a Lenz lens and demonstrate realizations for both low- (45 MHz) and high-frequency (500 MHz) nuclear magnetic resonance.
Folder Contains the Images, and the text file used for the corresponding images
Topologically optimized magnetic lens for magnetic resonance applications (DataSet)
This archive provides supplementary materials for the doctoral thesis Modeling and Communicating Flexibility in Smart Grids Using Artificial Neural Networks as Surrogate Models. For an elaborate explanation of the contents please see README.md.
Modeling and Communicating Flexibility in Smart Grids Using Artificial Neural Networks as Surrogate Models - Supplementary Materials
Processed micro-tomographic scan of the ant Prionopelta subtilis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains FAIR records which describe the tribological experiment Copper under Variable Normal Load #0021, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Variable Normal Load n0021 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Herein, the electrochemical properties and reaction mechanism of Li3-2xCaxV2(PO4)3/C (x = 0, 0.5, 1, and 1.5) as negative electrode materials for sodium-ion/potassium-ion batteries (SIBs/PIBs) are investigated. All samples undergo a mixed contribution of diffusion-controlled and pseudocapacitive-type processes in SIBs and PIBs via Trasatti Differentiation Method, while the latter increases with Ca content increase. Among them, Li3V2(PO4)3/C exhibits the highest reversible capacity in SIBs and PIBs, while Ca1.5V2(PO4)3/C shows the best rate performance with a capacity retention of 46% at 20 C in SIBs and 47% at 10 C in PIBs. This study demonstrates that the specific capacity of this type of material in SIBs and PIBs does not increase with the Ca-content as previously observed in lithium-ion system, but the stability and performance at a high C-rate can be improved by replacing Li+ with Ca2+. This indicates that insertion of different monovalent cations (Na+/K+) can strongly influence the redox reaction and structure evolution of the host materials, due to the larger ion size of Na+ and K+ and their different kinetic properties with respect to Li+. Furthermore, the working mechanism of both LVP/C and Ca1.5V2(PO4)3/C in SIBs are elucidated via in operando synchrotron diffraction and in operando X-ray absorption spectroscopy.
Electrochemical Investigation of Calcium Substituted Monoclinic Li3V2(PO4)3 Negative Electrode Materials for Sodium- and Potassium-Ion Batteries
The results are simulated with COSMO_5.0_clm9 coupled to the Land Surface Model VEG3D for the EURO-CORDEX domain. The forcing dataset is ERA-Interim. After extracting the zip-file, the results are stored in two directories. 'hyd_cond_new' contains the results for the new hydraulic conductivity function, 'hyd_cond_old' for the old one.
Monthly Mean values of sensible and latent heat fluxes, 2 meter temperature, net longwave and net shortwave radiation and cloud cover, for the period 2001-2010
Processed micro-tomographic scan of the ant Dolichoderus pustulatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Parvaponera darwinii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Myrmecina ryukyuensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Neocerapachys splendens, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The published catalog includes preliminary processing results of 316 earthquakes occurred between October 2020 to July 2022, within longitude range between 41.64 and 42.34, and latitude range between 42.53 and 43. For each event, origin time, latitude, longitude, depth (km), number of stations, GAP, RMS, magnitude (if applicable) and magnitude type are given.
In the frame of the DAMAST (Dams and Seismicity) (https://www.damast-caucasus.de/) project we deployed a dense high-fidelity seismological real-time network to investigate in detail the spatio-temporal seismicity distribution around the Enguri high dam, situated in the greater Caucasus in western Georgia. We aim at recording the weak seismicity in a 10 km distance around the dam structure. We installed an 8-station local seismic network to record weak seismicity in 10 km around the dam, with good coverage and high sensitivity around Ingirishi fault segments. To lower the detection threshold by reducing the ambient background noise, we installed four seismic stations in shallow (ca. 20 m) and deep boreholes. From these stations, KIT1 with a depth of ca. 250 m is the deepest seismological station in Georgia. The network installation was performed in three main stages, October 2020, December 2020, and September 2021. The published catalog, which is a collaboration between Geophysical Institute of KIT, and M. Nodia Institute of Geophysics, I. Javakhishvili Tbilisi State University (TSU), includes preliminary processing results of 316 earthquakes occurred between October 2020 to July 2022, within the longitude range between 41.64 and 42.34, and the latitude range between 42.53 and 43. For each event, origin time, latitude, longitude, depth (km), number of stations, GAP, RMS, magnitude (if applicable) and magnitude type are given. A 1-D velocity model of the upper mantle in Caucasus and adjacent regions is employed for the location process (Murusidze., G. 1987). Pg- and Sg-phases are manually picked using SEISAN-Earthquake analysis software (Havskov and Ottemoller, 1999.) and for each event, local magnitude (Ml) is estimated using S-phase amplitude read on both horizontal components. The catalog is presented and discussed in detail in Karamzadeh et. al 2023.
Processed micro-tomographic scan of the ant Cardiocondyla afrc-za08, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant OUTGROUP_Sceliphron madraspatanum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Research data, research results, and publications of the PhD thesis entitled 'Validation Framework for RDF-based Constraint Languages', submitted to the Department of Economics and Management at the Karlsruhe Institute of Technology (KIT).
# PhD Thesis---* Title: **[Validation Framework for RDF-based Constraint Languages](http://dx.doi.org/10.5445/IR/1000056458)*** Author: **[Thomas Hartmann](http://www.dr-thomashartmann.de/)*** Examination Date: 08.07.2016* University: [Karlsruhe Institute of Technology (KIT)](https://www.kit.edu/english/)* Chair: [Institute of Applied Informatics and Formal Description Methods](http://www.aifb.kit.edu/web/Hauptseite/en)* Department: [Department of Economics and Management](http://www.wiwi.kit.edu/english/index.php)* 1. Advisor: [Prof. Dr. York Sure-Vetter](http://www.aifb.kit.edu/web/York_Sure-Vetter/en), Karlsruhe Institute of Technology* 2. Advisor: [Prof. Dr. Kai Eckert](https://www.hdm-stuttgart.de/forschung_transfer/forschungsthemen/metadatenmanagement/team/eckert), Stuttgart Media University---***PhD Thesis Download**** [http://dx.doi.org/10.5445/IR/1000056458](http://dx.doi.org/10.5445/IR/1000056458)***Publications**** Complete set of publications: [publications](https://github.com/github-thomas-hartmann/phd-thesis/tree/master/publications)***Research Data, Research Results, and Publications**** Link to the KIT research data repository: [http://dx.doi.org/10.5445/BWDD/11](http://dx.doi.org/10.5445/BWDD/11)---***RDF Validation Requirements Database**** [http://purl.org/net/rdf-validation](http://purl.org/net/rdf-validation)***Validation Environment**** Demo: [http://purl.org/net/rdfval-demo](http://purl.org/net/rdfval-demo)* Source code: [software/rdf-validator](https://github.com/github-thomas-hartmann/phd-thesis/tree/master/software/rdf-validator)---***Chapter 2: Foundations for RDF Validation**** XML validation: [chapter/chapter-2/xml-validation](https://github.com/github-thomas-hartmann/phd-thesis/tree/master/chapter/chapter-2/xml-validation)***Chapter 3: Vocabularies for Representing Research Data and Related Metadata**** RDF vocabularies commonly used to represent different types of research data and related metadata: [chapter/chapter-3/common-vocabularies](https://github.com/github-thomas-hartmann/phd-thesis/tree/master/chapter/chapter-3/common-vocabularies)* Complete running example in RDF: [chapter/chapter-3/common-vocabularies/running-example](https://github.com/github-thomas-hartmann/phd-thesis/tree/master/chapter/chapter-3/common-vocabularies/running-example)***Chapter 4: RDFication of XML Enabling to use RDF Validation Technologies**** Evaluation results: [chapter/chapter-4/evaluation](https://github.com/github-thomas-hartmann/phd-thesis/tree/master/chapter/chapter-4/evaluation) ***Chapter 6: Consistent Validation across RDF-based Constraint Languages**** Constraint languages implementations: [chapter/chapter-6/constraint-languages-implementations](https://github.com/github-thomas-hartmann/phd-thesis/tree/master/chapter/chapter-6/constraint-languages-implementations)***Chapter 7: Validation Framework for RDF-based Constraint Languages**** Formal specification, HTML documentation, and UML class diagram of the RDF Constraints Vocabulary (RDF-CV): [chapter/chapter-7/rdf-constraints-vocabulary](https://github.com/github-thomas-hartmann/phd-thesis/tree/master/chapter/chapter-7/rdf-constraints-vocabulary)* Generic SPIN mappings for constraint types: [chapter/chapter-7/generic-SPIN-mappings/RDF-CV-2-SPIN.ttl](https://github.com/github-thomas-hartmann/phd-thesis/blob/master/chapter/chapter-7/generic-SPIN-mappings/RDF-CV-2-SPIN.ttl)***Chapter 8: The Role of Reasoning for RDF Validation**** Implementations for all constraint types expressible by OWL 2 QL, OWL 2 DL, and DSP as well as for major constraint types representable by ReSh and ShEx: [chapter/chapter-8/constraint-types-implementations](https://github.com/github-thomas-hartmann/phd-thesis/tree/master/chapter/chapter-8/constraint-types-implementations)* Implementation of reasoning capabilities for all reasoning constraint types for which OWL 2 QL and OWL 2 DL reasoning may be performed: [chapter\chapter-8\reasoning-constraint-types-implementations/OWL2-Reasoning-2-SPIN.ttl](https://github.com/github-thomas-hartmann/phd-thesis/blob/master/chapter/chapter-8/reasoning-constraint-types-implementations/OWL2-Reasoning-2-SPIN.ttl)* Validation and reasoning implementations of constraint types: [chapter/chapter-8/constraint-types-implementations](https://github.com/github-thomas-hartmann/phd-thesis/tree/master/chapter/chapter-8/constraint-types-implementations)***Chapter 9: Evaluating the Usability of Constraint Types for Assessing RDF Data Quality**** Implementations of all 115 constraints: [chapter/chapter-9/constraints](https://github.com/github-thomas-hartmann/phd-thesis/tree/master/chapter/chapter-9/constraints)* Evaluation results for each QB data set grouped by SPARQL endpoint: [chapter/chapter-9/evaluation/data-sets/QB](https://github.com/github-thomas-hartmann/phd-thesis/tree/master/chapter/chapter-9/evaluation/data-sets/QB)* Vocabulary implementations: [chapter/chapter-9/vocabularies/implementations](https://github.com/github-thomas-hartmann/phd-thesis/tree/master/chapter/chapter-9/vocabularies/implementations)***Appendix**** Link to appendix: [http://dx.doi.org/10.5445/IR/1000054062](http://dx.doi.org/10.5445/IR/1000054062)
Validation Framework for RDF-based Constraint Languages - PhD Thesis Research Data
Processed micro-tomographic scan of the ant Strumigenys aff denticulata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Trichomyrmex destructor, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Sphinctomyrmex stali, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Kartidris sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cataglyphis aenescens, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains FAIR records which describe the tribological experiment Copper under Constant Normal Load #0003, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0003 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
This dataset contains FAIR records which describe the tribological experiment Copper under Constant Normal Load #0030, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0030 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Processed micro-tomographic scan of the ant Lordomyrma sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Carebara affinis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Biologische Grenzflächen (IBG), Karlsruher Institut für Technologie (KIT), Institut für Physikalische Chemie (IPC), Karlsruher Institut für Technologie (KIT)
Sample I (folder 231124_Bonnie_1HDNP) - EXPNOs 21, 22, 23, 24, 29, 39, 55 magnetization enhancement: DNP 1H: EXPNO 21 thermal 1H: EXPNO 29 LLS enhancement: DNP LLS: EXPNO 22 PROCNO 11 (trace 1) thermal LLS: EXPNO 39 and EXPNO 55 monitoring LLS decay: EXPNOs 22, 23, 24 Sample II (folder 231125_Bonnie_1HDNP) - EXPNOs 21, 27, 29 magnetization enhancement: DNP 1H: EXPNO 21, PROCNO 11 (trace 1) thermal 1H: EXPNO 27 LLS enhancement: DNP LLS: EXPNO 21 PROCNO 14 (trace 4) thermal LLS: EXPNO 29 monitoring LLS decay: EXPNO 21 Sample III (folder 231120_Bonnie_1HDNP_LLS) - EXPNOs 38, 43 DNP LLS: EXPNO 38 thermal 1H: EXPNO 43
Hyperpolarization of Long-Lived States of Protons in Aliphatic Chains by Bullet Dynamic Nuclear Polarization, Revealed On-The-Fly by Spin-Lock-Induced Crossing (Datasets)
Processed micro-tomographic scan of the ant Blepharidatta brasiliensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Dolichoderus decollatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Stigmatomma afrc-tz05, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Diese Software erlaubt das halbautomatische Analysieren bestehender Veröffentlichungen zum Thema Globale Produktionsnetzwerke mit Schwerpunkt Digitalisierung. Die Software erlaubt die Auswertung dieser Paper um thematische Trends zu identifizieren.
DE: Zur Ausführung wird Jupyter Notebook benötigt und die in der requirements.txt angegebenen Abhängigkeiten. Die Ausführung wird im Notebook erläutert und erfolgt top-down. ENG: Jupyter Notebook and the dependencies specified in the requirements.txt are required for execution. The execution is explained in the notebook and takes place top-down.
This software allows the semi-automatic analysis of existing publications on the topic of global production networks with a focus on digitization. The software allows the evaluation of these papers in order to identify thematic trends.
Identifying Digitalization Trends in Global Production Networks - A Python Data Mining Tool
Processed micro-tomographic scan of the ant Acanthognathus cf ocellatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Strumigenys ohioensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Diacamma indica, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The hetero-aggregation of carbon black and colloidal silica in a spray flame is a promising approach to improve dispersibility and stability of carbon black. The mixing quality, i.e. homogeneity of local concentrations within the hetero-aggregate, is important for both properties, yet challenging to quantify. For this purpose, multiple TEM-EDX (Transmission Electron Microscopy with Energy Dispersive X-Ray Spectroscopy) scans are conducted on two distinct process conditions, leading to hetero-aggregates two different mixing qualities. By sampling cutouts of the images at randomized locations and applying principles adapted from classical mixing theory, hetero-aggregates are characterized with respect to mixing quality, irrespective of composition and primary particle size, Furthermore, correlation coefficient functions give insight to the length scale of primary particle clusters in the hetero-aggregates. In addition, on the basis of the \textit{intra-aggregate} mixing state and the distribution of hetero-aggregate composition, a suitable description of the \textit{inter-aggregate} mixing state is achieved. The developed methods present a generally valid, precise characterization of the mixing quality of hetero-aggregates. This data includes the original TEM-EDX data as well as the segmented images.
The zipped folders include the original TEM-EDX data in the .bcf format as well as the segmented images of isolated C and Si signals in .png format. The images can be matched with each others according to their filename.
Assessing the Mixing Quality of Hetero-Aggregates: Applying Mixing Theory to TEM Image Data - TEM-EDX data
Institut für Biologische und Chemische Systeme (IBCS), Karlsruher Institut für Technologie (KIT)
Electrode Droplet Microarray (eDMA): an impedance platform for label-free parallel monitoring of cellular drug response in nanoliter droplets
Diese Datei im dwg-Format enthält 3D-Modelle für drei zentrale Bestandteile des im zugehörigen Zeitschriftenaufsatz präsentierten automatisierten Fluid-Probenehmers "GUARD": 1) Das Probengestell für 160 Septum-versiegelte Labco Exetainer Glasfläschchen, 2) die Halterung für die Doppelkanüle und 3) das Verbindungselement zwischen dem Servo für die Bewegungen in Z-Richtung und dem Schlitten für Bewegungen in Y-Richtung.
Processed micro-tomographic scan of the ant Nesomyrmex angulatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cyphomyrmex salvini, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Messor luebberti, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pheidole fervens, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Here are the measured values of active energy.
Measured active power of a photovoltaic plant on the roof of IAI-Building
Processed micro-tomographic scan of the ant Heteroponera dolon, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Prionopelta antillana, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The main objective of design for manufacturing (DfM) is to ensure and simplify the manufacturing of products and reduce manufacturing costs. The problem is, that it remains unclear, which challenges and difficulties are most frequently encountered when considering the manufacturing process during the design phase. Only few studies have objectively investigated the influence of a restrictive method on the design results. The aim of this research is to investigate the effect of restrictive method on manufacturability and the manufacturing effort of the design outcome for design engineers and students. Design engineers as well as students designed and selected concepts with a high manufacturing effort. Successful approaches were those, which designed concepts completely without welding joints by cleverly redesigning the design and still fulfil the function. Hence, we present successful approaches as an opportunistic method in DfM, which can be transferred to further manufacturing processes.
These information should support you in interacting with the file. 1) Use a pdf compatible software to open the file 2) The pdf is designed as interactive with buttons. No need to scroll. 3) The structure and links in the file are carefully designed 4) To open the videos in the file a flash player could be useful. 5) Please do not hesitate to contact us if problems occur: markus.doellken@kit.edu The authors would like to express their appreciation to all of those without whom this research would not have been possible. Special thanks go to TRUMPF GmbH + Co KG, Ditzingen, Germany, for their support and funding of this project. The authors also wish to thank Dipl.-Ing. Jörg Heusel and Mr. Thomas Bronnhuber for their valuable technical support to this project, and especially M.Sc. Jonas Steiling for his patient guidance, for the many discussions on the content-related tasks, and for his help in collecting the data. The research reported in this article was carried out with the agreement of all participants.
Restrictive and Opportunistic Method in Design for Manufacturing
Processed micro-tomographic scan of the ant Solenopsis afrc-za09, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tetraponera binghami, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Stigmatomma fulvidum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Aphaenogaster trinacriae, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Further details can be found in this publication: Mauder, M., Genzel, S., Fu, J., Kiese, R., Soltani, M., Steinbrecher, R., Kunstmann, H., Zeeman, M., Banerjee, T., Roo, F. De, De Roo, F., Kunstmann, H. and Zeeman, M.: Evaluation of energy balance closure adjustment methods by independent evapotranspiration estimates from lysimeters and hydrological simulations, Hydrol. Process., 32(October), 39–50, doi:10.1002/hyp.11397, 2018.
Hourly data of evapotranspiration of Graswang and Fendt for 2013 and 2014
Processed micro-tomographic scan of the ant Tetraponera sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Overview of climate adaptation measures for the research project ‘Development of planning tools for climate protection and climate adaptation in overall spatial planning using remote sensing’. The project was commissioned by the Hessian Ministry of Economics, Energy, Transport, Housing and Rural Affairs (HMWVW).
Übersicht der Klimaanpassungsmaßnahmen zum Forschungsprojekt "“Entwicklung von Planungshilfen für Klimaschutz und Klimaanpassung in der räumlichen Gesamtplanung mittels Fernerkundung“. Auftraggeber ist das Hessische Ministerium für Wirtschaft, Energie, Verkehr, Wohnen und Ländlichen Raum (HMWVW).
Die Maßnahmentabelle ist Teil der Veröffentlichungen des Forschungsprojektes "“Entwicklung von Planungshilfen für Klimaschutz und Klimaanpassung in der räumlichen Gesamtplanung mittels Fernerkundung“, und bietet die Referenz für die Kapitel zu Klimaanpassungsmaßnahmen für den Abschlussbericht sowie den Leitfaden. Auftraggeber ist das Hessische Ministerium für Wirtschaft, Energie, Verkehr, Wohnen und Ländlichen Raum (HMWVW).
Übersicht der Maßnahmentypen zur Klimaanpassung in der räumlichen Gesamtplanung mittels Fernerkundung_Juni-2025
The readme file explains the use of the data and is provided together with the data.
The present work discusses the impact of the back coupling of the fiber orientation distribution on the base flow and on the fiber orientation itself during mold filling simulations. Flows through a channel and over a backward-facing step are investigated. Different closure approximations are considered for modeling the flow induced evolution of anisotropy. Results corresponding to the decoupled approach, in which the effect of fibers on local fluid properties is neglected, build the basis of comparison. The modeling is limited to a laminar, incompressible and isothermal flow of a fiber suspension consisting of rigid short fibers suspended in an isotropic Newtonian matrix fluid. A linear, anisotropic constitutive law is used in combination with a uniform fiber volume fraction of $10\,\%$ and an aspect ratio of $10$. To evaluate the impact of back coupling and of different closure methods in view of the manufactured solid composite the resulting anisotropic elastic properties are investigated based on the Mori-Tanaka method combined with an orientation average scheme. Relative to the range $[0,1]$ the pointwise difference in fiber orientation between the decoupled and the coupled approach is found to be $\pm 5\,\%$ in the channel and $\pm 30\,\%$ in the backward-facing step, respectively. The viscosity and the elasticity tensor show both significant flow induced anisotropies as well as a strong dependence on closure and coupling.
Coupled Simulation of Flow-Induced Viscous and Elastic Anisotropy of Short-Fiber Reinforced Composites (Version 3)
Processed micro-tomographic scan of the ant Octostruma rugifera, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Monomorium hiten, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Recurvidris kemneri, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Strumigenys appretiata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Neivamyrmex latiscapus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The archive contains a Jupyter Notebook file and load test data collected with k6. The collected data is stored in a pickle format in the folder data. To load the data, Python3 as well as Jupyter Notebooks is required.
Load Test Data for Authorization Implementations of a Microservice-Based Application
Processed micro-tomographic scan of the ant Anochetus sp n inermis group, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Crematogaster lineolata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Wasmannia sulcaticeps, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Release notes: https://gitlab.kit.edu/kit/mpp/mpp/-/releases/3.3.0
Processed micro-tomographic scan of the ant Terataner luteus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Forelius pusillus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tetramorium wroughtonii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Plagiolepis alluaudi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Acanthognathus ocellatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Dolichoderus bidens, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains FAIR records which describe the tribological experiment Copper under Constant Normal Load #0028, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0028 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Processed micro-tomographic scan of the ant Cryptopone hartwigi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Prionopelta aethiopica, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains FAIR records which describe the tribological experiment Copper under Constant Normal Load #0007, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0007 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
The measurement mode was full-field and the data available here contains the recorded 2D projections, consisting of absorption contrast images. The data is saved in TIFF files each corresponding to one specific energy point and rotation angle. For a description of exact energy points and rotational angles used, see the corresponding publication. This dataset is measured under SCR conditions (1000 ppm NO, 1000 ppm NH3, 7.8% O2 in He as balance gas, flow rate 50 ml/min) at 350°C.
Full-Field XANES tomography data of a Cu-SSZ-13 washcoated monolith: SCR @ 350°C dataset
Processed micro-tomographic scan of the ant Odontomachus cf meinerti, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Solenopsis afrc-za01, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Crematogaster matsumurai, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The data are in netCDF format. All data has been postprocessed and only contains the mean values over a smaller region ~15km surrounding the ship. Files follow the format <GRID>_<DATE>_<comment>.nc Please see Table 1 in the paper for the description of the simulations performed. Each 2-moment run has accumulated process rates associated with the simulation named <GRID>_<DATE>_<comment>_process_rates.nc.
This archive contains research data presented in the manuscript "Sensitivities of Simulated Mixed-phase Arctic Multilayer Clouds to Primary and Secondary Ice Processes" with DOI: 10.5194/egusphere-2024-2988 Content: Simulations September 01 - September 02 2020; GRID R3B8; 6km grid spacing, run with 1moment microphysics initialised at 00UTC on the 01-09-2020 using ICON Global 13km -R3B8_0109_0309.nc GRID: R3B10; 2-moment 1.6km grid spacing initialised at 04UTC - Reference run; R3B10_0109_0209_orig.nc : with Hande et al (2015,2016) CCN and INP parameterisations Sensitivity Studies: - R3B10_0109_0209_INP.nc : implemented INP polynomial at warm temperatures in immersion freezing and scaled down immersion, rain freeze and depositional freezing at cold temperatures - R3B10_0109_0209_pr1L.nc : for prescribed 1 per L GRID: R3B12; 2-moment 400m grid spacing - R3B12_0109_0209.nc : initialised at 06UTC and nudged by the output from R3B10_0109_0209_pr1L.nc with prescribed 1 per L GRID R3B14; 2-moment 100m grid spacing - R3B14_0109_0209.nc : initialised at 08UTC and nudged by R3B12_0109_0209.nc with prescribed 1 per L Simulations September 03 - September 04 2020; GRID R3B8; run with 1moment microphysics initialised at 00UTC on 03-09-2020 - R3B8_0309_0409.nc GRID R3B10;2-moment 1.6km grid spacing initialised at 04UTC - Reference run: R3B10_0309_0409_orig.nc Primary Ice Sensitivity Studies: - R3B10_0309_0409_INP.nc : implemented INP polynomial at warm temperatures in immersion freezing and scaled down immersion, rain freeze and depositional freezing at cold temperatures - R3B10_0309_0409_INPx1E4.nc : same as above but scaled by 10000 - R3B10_0309_0409_INPx1E6.nc : same as above but scaled by 1E6 - R3B10_0309_0409_pr1L.nc : prescribed 1 per L at warm temperatures Cloud Droplet Sensitivity: - R3B10_0309_0409_pr1L_CCN.nc : prescribed ice at warm temperatures plus a CCN scaling Secondary Ice Sensitivity: - R3B10_0309_0409_orig_SIP.nc : original primary ice nucleation with SIP implementation with droplet shattering and break-up collision added on top of the reference rime-splintering. Collisional break-up is parameterised by Takahashi - R3B10_0309_0409_INP_SIP.nc : new immersion freezing parameterisation with SIP as above - R3B10_0309_0409_INP_SIP_BR_scaled.nc : new immersion freezing parameterisation and SIP with a scaled down breakup (SIP) parameterisation - R3B10_0309_0409_INP_CCN_SIP_BR_scaled.nc : new immersion freezing parameterisation with scaled down CCN concentration and SIP with a scaled down breakup (SIP) parameterisation - R3B10_0309_0409_pr1L_SIP.nc GRID R3B12; 2-moment 400m grid spacing - R3B12_0309_0409.nc : initialised 06UTC and nudged by simulation with prescribed 1 per L (R3B10_0309_0409_pr1L) GRID R3B14; 2-moment 100m grid spacing - R3B14_0309_0409.nc: initialised at 08UTC and nudged by R3B12_0309_0409 with prescribed 1 per L
This archive contains research data presented in the manuscript "Sensitivities of Simulated Mixed-phase Arctic Multilayer Clouds to Primary and Secondary Ice Processes" with DOI: 10.5194/egusphere-2024-2988. In this study, the microphysical sensitivity of Arctic mixed-phase multilayer clouds are examined via two case studies observed during the MOSAiC campaign in September 2020. Sensitivity simulations on cloud droplet activation, primary ice, and secondary ice processes were performed. The ICON model is used to model these clouds and observational data from the MOSAiC campaign is used to constrain and evaluate the model.
Research data for "Sensitivities of Simulated Mixed-phase Arctic Multilayer Clouds to Primary and Secondary Ice Processes"
Direct numerical simulations (DNS) are used to assess the similarity, in rough-wall turbulent flow, between the time-averaged transport of mechanical energy (i.e. the sum of kienetic energy and pressure work) and of the squared passive-scalar field, theta^2/2. The database comprises three simulations: 1) k00re180, smooth wall at a friction Reynolds number Re_tau=180; 2) k15re180, rough wall at a friction Reynolds number Re_tau=180 and roughness Reynolds number k^+=15 (k^+=k u_tau/nu, k is the roughness characteristics size, u_tau is the friction velocity, and nu is the kinematic viscosity); 3) k90re540, rough-wall at a friction Reynolds number Re_tau=540 and roughness Reynolds number k^+=90. The roughness topography is taken from: 'Thakkar, M. (2017) Investigation of turbulent flow over irregular rough surfaces using direct numerical simulations (PhD Thesis), University of Southampton, Southampton, UK'. The DNS are performed using the spectral element flow solver Nek5000 (Version 19.0. 2019, Argonne National Laboratory, Illinois. https://nek5000.mcs.anl.gov). The dataset contains the following files: 1) Mean wall-normal profiles (ascii), - k00re180.dat - k15re180.dat - k90re540.dat 2) Volume-averaged quantities (i.e. volume integrated quantities per unit volume) (ascii) - BULK_k00re180.dat - BULK_k15re180.dat - BULK_k90re540.dat 3) Time-averaged dispersive fluctuations distributions on the plane y/delta=1.2 (y is the spanwise coordinate and delta is the half channel height) (binary) - sfA_y120_k15re180.vtk - sfA_y120_k90re540.vtk In each file, the variables are made dimensionless using the friction velocity u_tau and the channel half-height delta. For all the cases, a unit Prandtl number is used. Therefore, the friction Peclet number is equal to the friction Reynolds number, Pe_tau=Re_tau. Furthermore, the flow is always considered incompressible. In the following, Ui indicates the i-velocity component; C indicates the scalar field; P indicates the pressure; K=UiUi/2 is the kinetic energy; G=C^2/2 is the squared scalar field; ,i denotes differentiation in the i-direction; Oi indicates the i-vorticity component; Sij indicates the (i,j)-component of the strain-rate tensor; < . >t indicates a time-averaged quantity; < . >ts indicates a space- and time-averaged quantity; a prime superscript, (.)', indicates temporal fluctuations; a double prime superscript, (.)'', indicates dispersive fluctuations of the time-averaged field induced by the roughness. Note that the coordinate directions are: Streamwise, x, i=1; Spanwise, y, i=2; Wall-normal, z, i=3. The dataset files contain: 1) kXXreXXX.dat z<C>ts<C,i>ts<C,i>ts/Pe_tau<C,i'C,i'>/Pe_tau<Oi>ts<Oi>ts/Re_tau<Oi'Oi'>/Re_tau 2<Sij>ts<Sij>ts/Re_tau 2<Sij'Sij'>ts/Re_tau<(Ui P),i>ts<(Ui K),i>ts<P,ii>ts/Re_tau<K,ii>ts/Re_tau<Ux>ts<(Ui G),i>ts<G,ii>ts/Pe_tau 2) BULK_kXXreXXX.dat<Oi>t<Oi>t<Oi'Oi'>t<Oi>t''<Oi>t''<Oi>ts<Oi>ts<Oi>t<Oi>ts<Oi>ts<Oi>t''<C,i>t<C,i>t<C,i'C,i'>t<C,i>t''<C,i>t''<C,i>ts<C,i>ts<C,i>t<C,i>ts<C,i>ts<C,i>t'' AER[<Oi>t<Oi>t] AER[<Oi'Oi'>t] AER[<Oi>t''<Oi>t''] AER[<Oi>ts<Oi>ts] AER<Oi>t<Oi>ts AER[<Oi>ts<Oi>t'' AER[<C,i>t<C,i>t] AER[<C,i'C,i'>t] AER[<C,i>t''<C,i>t''] AER[<C,i>ts<C,i>ts] AER[<C,i>t<C,i>ts] AER[<C,i>ts<C,i>t''] WMR[<Oi>t<Oi>t] WMR[<Oi'Oi'>t] WMR[<Oi>t''<Oi>t''] WMR[<Oi>ts<Oi>ts ] WMR[<Oi>t<Oi>ts] WMR[<Oi>ts<Oi>t''] WMR[<C,i>t<C,i>t] WMR[<C,i'C,i'>t] WMR[<C,i>t''<C,i>t''] WMR[<C,i>ts<C,i>ts] WMR[<C,i>t<C,i>ts] WMR[<C,i>ts<C,i>t''] Note: AER[ ] and WMR[ ] indicate conditional integration over "attached, exposed" and "well-mixed" region. Further information is provided in the header of each file. 3) sfA_y120_kXXreXXX.vtk VTK NAME: corresponding quantity p: t s00: <C>t s01: <ux>t'' s02: <uy>t'' s03: <uz>t'' s04: t'' s05: <C>t'' s06: <Ox>t''<Ox>t'' s07: <Oy>t''<Oy>t'' s08: <Oz>t''<Oz>t'' s09: <C,x>t''<C,x>t'' s10: <C,y>t''<C,y>t'' s11: <C,z>t''<C,z>t'' s12: <Ox>t'' s13: <Oy>t'' s14: <Oz>t'' s15: <C,x>t'' s16: <C,y>t'' s17: <C,z>t'' s18: <Oy>t s19: <Oy>ts s20: <C,z>t s21: <C,z>ts s22: <Ux>ts s23: <C>ts vx: <Ux>t vy: <Uy>t vz: <Uz>t zwb: wall-height of the bottom rough wall as a function of x.
Dataset for "A framework for assessing the Reynolds analogy in turbulent forced convection over rough walls"
Processed micro-tomographic scan of the ant Pachycondyla javana, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Discothyrea patrizii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pheidole indica, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The “oxygen-rich” Ca2+ pre-intercalated bilayered vanadium oxide (CaVOnH) was synthesized via hydrothermal method and determined as a monoclinic structure with reasonable lattice parameters. CaVOnH achieves a first discharge capacity of 273 mAh g−1 with capacity retention of 91% at 50 mA g−1 in 0.8 m Mg(TFSI)2-85%PEG-15%H2O (polyethylene glycol, PEG), but limited rate capability due to the low ionic conductivity of electrolyte. Dimethyl sulfoxide (DMSO) is used as a co-solvent to tune the physical-chemical properties of aqueous Mg-ion electrolyte (AME), resulting in the reorganization of Mg2+ solvation and hydrogen bond network. The AME containing DMSO shows improved ionic conductivity, low viscosity, and high Mg2+ diffusion coefficient and allows CaVOnH and V2O5 to achieve a much-improved rate capability and capacity. Moreover, the reaction mechanism and reversibility of CaVOnH are elucidated by combining in operando and ex situ techniques. The results demonstrate that CaVOnH undergoes 2-phase reaction and solid solution, the variation of oxidation state and the local environment of vanadium, and reversible formation/decomposition of MgF2 cathode electrolyte interface during Mg2+ (de)intercalation, where MgF2 originated from the decomposition of TFSI-.
The data include electrochemistry data, XRD, XPS, XAS, and magnetic data, which was plotting using Origin software. The emd. file can be opened and proceeded with Velox software. The dm4. file can be opened and proceeded with DigitalMicrograph software.
Ca2+ Pre-Intercalated Bilayered Vanadium Oxide for High-Performance Aqueous Mg-Ion Batteries
Processed micro-tomographic scan of the ant Pheidole afrc-063, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Formica exsectoides, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Fulakora armigera, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Nylanderia amia, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains FAIR records which describe the tribological experiment Copper under Variable Normal Load #0023, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Variable Normal Load n0023 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
The measurement mode was full-field and the data available here contains the recorded 2D projections, consisting of absorption contrast images. The data is saved in TIFF files each corresponding to one specific energy point and rotation angle. For a description of exact energy points and rotational angles used, see the corresponding publication. This dataset is one reference measurement with 1000 ppm NO + O2 in He at 200 °C.
Full-Field XANES tomography data of a Cu-SSZ-13 washcoated monolith: NO + O2 @ 200°C dataset
Processed micro-tomographic scan of the ant OUTGROUP_Vespa analis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The Lurin Basin, Andean Measurement Campaign and Dataset (LAMA) was obtained during the years 2017 until 2020. LAMA is part of the BMBF funded interdisciplinary project TRUST ("Trinkwasserversorgung in prosperierenden Wassermangelregionen nachhaltig, gerecht und ökologisch verträglich"). Hydrological data has been collected in the Lurin river basin for a time span over three years in a range of altitudes from 200 m up to 4500 m above mean sea level. LAMA includes high resolution continuous measurements of precipitation (5 min resolution), soil humidity and temperature (10 min), discharge (15min resolution) and climate variables (10 min resolution). Discharge was measured at two piezometric stations, precipitation at five stations, soil humidity at three stations and climate variables at one station. Details regarding measurement equipment and calibration can be found in the readme files of the archives. Acknowledgment: LAMA is published as part of the Trust project, which is funded by the German Federal Ministry of Education and Research (BMBF). We thank Julian Bocanegra, Roberto Vicencio and Lucas Alcamo for their help during the measurement campaign.
file "Map.kmz": Google Earth .kmz file with locations of all measurement stations of LAMA. file "stations_meta_data.csv": .csv file with meta data about measurement stations of LAMA. folder "precipitation/": includes sub folder "data" with 5min resolution precipitation data. "README.txt" explains data structure. "Calibration_data.txt" shows calibration data for each station. folder "climate/": "atmos41_cullpe.csv" -> original data retrieved from Meter climate station. folder "soil_humidity/": includes sub folder "data" with 10min resolution soil humidity and temperature data. "README.txt" explains data structure. folder "discharge/": includes sub folder "data" with 15min resolution water level data. includes sub folder "rating_tables" with text files of discrete rating curves, derived from tracer measurements. "README.txt" explains data structure. "WQ_measured_manchay.txt" shows results of all (tracer) discharge measurements at Manchay station "WQ_measured_santarosa.txt" shows results of all (tracer) discharge measurements at SantaRosa station
Lurin Basin, Andean Measurement Campaign and Dataset (LAMA)
Institut für Technische Mechanik (ITM), Karlsruher Institut für Technologie (KIT)
This software package facilitates the simulation and optimization of bipedal running on compliant ground, adhering to the methodology delineated in the manuscript "Study on Bipedal Running on Compliant Ground Using Hybrid Zero Dynamics Controller." The equations of motion and design of the controller are implemented using the Maple software. Numerical analyses and optimization are conducted utilizing the Julia programming language, while the optimization algorithm is sourced from the commercial software Artelys Knitro.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
julia-Software package for bipedal robot running on compliant ground using hybrid zero dynamics controller
Processed micro-tomographic scan of the ant Brachyponera luteipes, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Colobopsis sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Temnothorax sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Strumigenys mirabilis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Odontomachus brunneus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cerapachys sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Raw data for ex situ and in situ/operando characterization and catalytic testing Additional Affiliation of Paolo Dolcet and Silvia Gross: Dipartimento di Scienze Chimiche Università degli Studi di Padova Via Francesco Marzolo 1 35131 Padova, Italy
Influence of CeO2 morphology and initial Pd-Pt interaction degree on catalyst activity and stability - Raw Data
Deutsches Mobilitätspanel (MOP) - Statistiken zur Alltagsmobilität sowie zu Fahrleistung und Kraftstoffverbrauch 2009 - 2018
Processed micro-tomographic scan of the ant Mycetophylax faunulus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Rogeria foreli, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Die aktualisierten Daten finden Sie unter: http://dx.doi.org/10.5445/IR/1000127274 Base dataset: Integrated Multi-satellitE Retrievals for GPM (IMERG) V06 dataset (doi:[10.5067/GPM/IMERG/3B-HH/06](https://doi.org/10.5067/GPM/IMERG/3B-HH/06 )) Data format: netCDF Time resolution: daily (365 calendar days) Latitude band: 40°S–40°N Spatial resolution: 0.1°x0.1° (800x3600 points) Content: Parameters (prob, shape, scale) of a fitted Bernoulli-gamma distribution derived from +/-15 days windows around each calendar day of the years 2001–2018. Value: The EPC dataset provides statistical distributions of daily rainfall for the entire global tropics with a high spatial resolution using one of the most accurate satellite-based rainfall estimates. This can be used for a climatological characterization and as a probabilistic reference forecast against which weather forecasts generated with computer or statistical models can be evaluated. Application example: Vogel et al. (2018, doi:[10.1175/WAF-D-17-0127.1](https://doi.org/10.1175/WAF-D-17-0127.1)) Reference: The research leading to these results has been accomplished within project C2 "[Statistical-dynamical forecasts of tropical rainfall](https://www.wavestoweather.de/research_areas/phase2/c2/index.html)" of the Transregional Collaborative Research Center SFB/TRR 165 Waves to Weather funded by the German Science Foundation (DFG).
Extended probabilistic climatology (EPC) as a reference forecast for precipitation in the tropics
Institut für Angewandte Informatik und Formale Beschreibungsverfahren
Inv3D: a high-resolution 3D invoice dataset for template-guided single-image document unwarping - Test split
Processed micro-tomographic scan of the ant Solenopsis tridens, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Accompanying data for the first publication on the TEEMLEAP weather forecasting testbed
The dataset contains (1) output data from numerical experiments with the TEEMLEAP testbed, which are displayed in the figures of the referenced manuscript; and (2) exemplary input data for the generation of pseudo-radiosounding profiles from ERA5 reanalysis data and the calculation of proper observation perturbations for experiments with the TEEMLEAP testbed. The corresponding code publication is referenced above as well.
The measurement mode was full-field and the data available here contains the recorded 2D projections, consisting of absorption contrast images. The data is saved in TIFF files each corresponding to one specific energy point and rotation angle. For a description of exact energy points and rotational angles used, see the corresponding publication. This dataset is measured under SCR conditions (1000 ppm NO, 1000 ppm NH3, 7.8% O2 in He as balance gas, flow rate 50 ml/min) at 200°C.
Full-Field XANES tomography data of a Cu-SSZ-13 washcoated monolith: SCR @ 200°C dataset
Processed micro-tomographic scan of the ant Strumigenys auctidens, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Prenolepis naoroji, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Neoponera villosa, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Experimental data of the publication "An Efficient Approach for Quantifying the Mechanical Degradation of Ni-Rich NMC-based Cathodes for Lithium‑Ion Batteries using Nano-XCT Analysis", ChemElectroChem 2023.
Research Data of the Publication "An Efficient Approach for Quantifying the Mechanical Degradation of Ni-Rich NMC-based Cathodes for Lithium‑Ion Batteries using Nano-XCT Analysis"
This file contains the data used in the following manuscript: Hummel, M., Hoose, C., Pummer, B., Schaupp, C. E., Fröhlich-Nowoisky, J., and Möhler, O.: Simulating the Influence of Primary Biological Aerosol Particles on Clouds by Heterogeneous Ice Nucleation, Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2018-182, 2018 and the corresponding manuscript in Atmos. Chem. Phys. The folder names correspond to the simulations (5 ensemble members each) as follows: BIO: db_m_18Sept14, db_l_09Okt14, db_r_11Okt14, db_u_18Okt14, db_d_22Okt14 DST: d_m_10Jul14, d_u_02Jul14, d_d_29Jun14, d_l_12Jul14, d_r_16Jul14 The ensemble data are the basis for Figures 7, 8, 9 and 10. The data of the reference simulation shown in Figures 2, 3, 4, 5, and 6 is contained in folder db_m_18Sept14. The data folder contain the full 4D fields (x,y,model levels,time) of the following variables (one file per variable, hourly time resolution): P_BACTERIA: bacteria concentration [#/m^-3] P_FUNGAL2: fungal spore concentration [#/m^-3] T: temperature [K] QNICE: specific cloud ice number [#/kg (air)^-1] CLDPOL7: temperature [K] used as input for INP parameterization CLDPOL9: number of occurrences of bacterial INP>0 [#/hour] CLDPOL10: accumulated concentration of bacterial INP [#/(m^-3 hour)] CLDPOL12: number of occurrences of fungal spore INP>0 [#/hour] CLDPOL13: accumulated concentration of bacterial INP [#/(m^-3 hour)] CLDPOL15: number of occurrences of bact. + fungal spore INP>0 [#/hour] CLDPOL17: instantaneous concentration of bact. + fungal spore INP [#/m^-3] CLDPOL18: accumulated concentration of dust+soot INP [#/(m^-3 hour)] CLDPOL19: accumulated total INP [#/(m^-3 hour)] CLDPOL21: number of occurrences of dust+soot INP>0 [#/hour] files tab_z.txt and lfff00000000c.nc (in folder db_m_18Sept14) contain the information on the conversion of model levels to altitude.
Simulating the Influence of Primary Biological Aerosol Particles on Clouds by Heterogeneous Ice Nucleation
Numerical data for Figs. 2, 3, 7, 8, and 11 of the paper "Quantum discontinuity fixed point and renormalization group flow of the SYK model" by R. L. Smit et al. [DOI: 10.1103/PhysRevResearch.3.033089, see readme.txt inside the main data folder
Quantum discontinuity fixed point and renormalization group flow of the SYK model - DATA
Research Data used in: 'Deep Learning and Hybrid Approach for Particle Detection in Defocusing Particle Tracking Velocimetry'
Deep Learning and Hybrid Approach for Particle Detection in Defocusing Particle Tracking Velocimetry - used Research Data
Processed micro-tomographic scan of the ant Microdaceton exornatum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Ectatomma edentatum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Proformica longiseta, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Raw data from tribological experiment, topography measurements and optical micrographs
Raw Data to publication on the effect of different surface treatments on tribological properties of additively manufactured samples. "Tribological Performance of Additively- Manufactured AISI H13 Steel in Different Surface Conditions"
Processed micro-tomographic scan of the ant Tetramorium transversinode, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Myrmecia croslandi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The dataset includes the cloud type and cloud cover at 85 different stations in western Central Africa. On the one hand, the dataset contains the original values as well as homogenized values.
This dataset consists of cloud fraction and cloud genus data from 85 stations in western Central Africa from 1971-2019. The database is based on the following databases: Extended Edited Synoptic Cloud Reports Archive (EECRA), Integrated Surface Dataset (ISD), Met Office Integrated Data Archive System (MIDAS), and the African Monsoon Multidisciplinary Analysis (AMMA). The dataset starts on 1st May 1971, covers 3 hourly the months May to October and ends on 31st October 2019. The variables in the dataset cover the cloud fraction, cloud type, homogenized cloud fraction, and a flag for the variables where its origin is. The homogenization of the dataset is discribed in Moron et al. (2022, submitted) and in the meta data discreption of the NetCDF file.
Der Datensatz beinhaltet den Wolkentyp und die Wolkenbedeckung von synoptischen Wetteraufzeichnungen an 85 verschiedenen Stationen im westlichen Zentralafrika. Einerseits beinhaltet der Datensatz die originalen Werte wie auch homogenisierte Werte.
Cloud observing data of 85 stations in western Central Africa
This code has been used for the numerical experiments in the thesis "Numerical homogenization of time-dependent Maxwell's equations with dispersion effects" by Jan Philip Freese, see https://www.doi.org/10.5445/IR/1000129214.
# Readme This code was used for the numerical experiments of the PhD thesis "Numerical homogenization of time-dependent Maxwell's equations with dispersion effects" by P. Freese (cf. Section 7.2, Section 7.3) https://www.doi.org/10.5445/IR/1000129214. The computations are done in C++ using the Finite Element library deal.II. ## Requirements - In order to run the code you need **deal.II** (release 9.1.1), cf. https://www.dealii.org/9.1.1 - For the experiments on the macroscopic level (Section 7.3) you need to compile deal.II using **Trilinos** (version 12.17) and **p4est** (version 2.2), cf. https://www.dealii.org/9.1.1/external-libs/trilinos.html and https://www.dealii.org/9.1.1/external-libs/p4est.html - To get the full functionality of the scripts a **Bash** shell has to be used and at least **cmake** (version 3.13.0) is needed - For the visualization of the data you need **Matlab** (version R2020a Update 2) and **Paraview** (version 5.8.1-RC1) ## Structure The structure is as follows: - The folder **executables** contains Bash scripts for all figures and tables separately. All figures from Section 7.2 may be computed using the `compute_all_micro_figures_and_tables.sh` at ones. Similarly, the figures from Section 7.3 are computed using the `compute_all_macro_figures_and_tables.sh` script. Moreover, the `distclean.sh` script runs the `deal.II` distclean command in all programs. - The folder **matlab_plot_files** contains Matlab scripts for the convergence plots and related tables - The folder **paraview_plot_files** contains Paraview states to generate the solution plots - In **programs** the actual source code is stored within three different programs that are - **hmm_for_Maxwell_conductivity_memory_variable:** Code that applies the Heterogeneous Multiscale Method combined with the memory variable technique as explained in Section 6.2.3 - **hmm_for_Maxwell_conductivity_recursive_convolution:** Code that applies the Heterogeneous Multiscale Method combined with the recursive convolution technique as explained in Section 6.2.2 - **microproblem_conductivity:** Code that solves the microscopic cell problems - In **results** the results of the computations are stored according to the sub structure of the **programs** folder ## Howto In order to run the program, open a terminal session in the folder **executables** and run one of the Bash scripts providing at least the additional argument: - **Number of kernels (-n)**: One should usually use one job for each processor core on the machine Use a command like ```bash bash figure*.sh -n number_of_kernels ``` It may be mandatory to provide the location of your deal.II installation as well. This is done by providing another argument: - **Path to deal (-D)**: Path to the deal.II installation Use a command like ```bash bash figure*.sh -n number_of_kernels -D path_to_deal ``` If you can not execute the Bash scripts, you have to build the program and copy/edit the config/source files yourself. Still, the necessary information is found in the bash scripts, so just use a text editor to open those files and execute the steps by hand. ### Example If you unpack this code within the **examples** folder of **deal.II** you can simply use the following example code to run the Bash script (generating data for Figure 7.2 and Table 7.1 with 4 kernels) ```bash bash figure_7_2_table_7_1.sh -n 4 -D ../../../../ ``` ## Visualization ### Matlab The Matlab scripts are used to generate the plots and tables. The tables are directly prompted to the Matlab output. ### Paraview To load the state files in Paraview, select `File->Load State...`. Select the respective `.pvsm` file of the figure you want to plot. As `Load State Data File Options` choose `Search files under specified directory` and select the `results` folder. Paraview should find the files itself. ## Remarks - The scripts `figure_7_19_table_7_9.sh` and `figure_7_21_table_7_10.sh` save reference solutions that are used to compute the errors between different levels of refinement. These solutions are stored in `programs/hmm_for_Maxwell_conductivity_recursive_convolution/data/`. If you want to run these scripts a second time you either have to delete the solutions (and compute the solutions again) or you have to set the `Output.Reference_Solution` flag in the respective config file in `programs/hmm_for_Maxwell_conductivity_recursive_convolution/config_files/` to false (which makes the computation even faster). - Be aware that, depending on your computer, the computations may take several hours or days.
Numerical experiments to "Numerical homogenization of time-dependent Maxwell's equations with dispersion effects"
The published source data file contains the underlying data of all figures of the manuscript of the publication “Impact of electrolyte impurities and SEI composition on battery safety”. The source data of each figure is presented in a single sheet named after the corresponding figure. Legends are given if required. Numerical details: The model was implemented in MATLAB R2022a and differential equations were solved with the ode15s solver. The calculations were performed on an i7-9750H CPU with 16 GB RAM. For detailed information on the modelling approach see the Method section in the manuscript and the Supplementary Information.
Li-ion batteries have a potential risk of thermal runaway. Current safety evaluations in academia and industry rely on experiments or semi-empirical simulations. This limits the understanding of processes leading to or occurring during thermal runaway, and how chemical species and impurities can impact them. The limited (quantitative) understanding in turn hinders a holistic safety assessment and optimisation of countermeasures through design or operation. The here presented thermal-runaway model contains a detailed degradation reaction network, which allows the impact of chemical species and impurities on thermal runaway to be studied. We set a particular focus on water impurities and solid-electrolyte interphase (SEI) properties, as both are known to impact life-time of batteries. SEI composition and thickness change during ageing, which is shown here to impact battery safety significantly. The model can reproduce reported experimental behaviour: aged cells are more safe, as they start self-heating, i.e. heat production without an external heat source, at 15–20 °C higher temperatures than fresh cells. Our model suggests a thick inorganic, and thus less reactive SEI as the underlying cause. Furthermore, we could show that extensive electrode drying to remove water impurities before building battery cells will not significantly improve safety characteristics. In contrast, electrodes not subjected to any drying procedure cause an earlier start of the self-heating phase, i.e. have a higher risk of thermal runaway. These insights into the sensitivity to thermal runaway allow robust methods to be tailored for its prevention, from controlling battery and SEI properties during production to adjusting safety assessment for effects of ageing.
Impact of electrolyte impurities and SEI composition on battery safety
Operational convection-permitting COSMO/ICON ensemble predictions at observation sites (CIENS). Consists of four parts: Runs at 00 UTC (standard variables), Runs at 00 UTC (spatial variables), Runs at 00 UTC (standard variables), Runs at 12 UTC (spatial variables). For the standard variable data sets, the observational data base is also included. For more information, see the corresponding Github-repository at https://github.com/slerch/CIENS.
Operational convection-permitting COSMO/ICON ensemble predictions at observation sites (CIENS)
This exemplary dataset was recorded and analyzed during the continuous operation of a biocatalytic foam reactor. See the README.md provided with the data for more details.
Example dataset to: "Towards Precision Biocatalysis - Leveraging Inline NMR for Autonomous Experimentation in Flow Reactors"
Data from "Creep behavior of a precipitation-strengthened A2-B2 refractory high entropy alloy" The data contains following file types: *.ang are electron backscatter diffraction datasets in ASCII format *.tif and *.jpg are raw images/micrographs from the manuscript in unedited form *.dat are data from graphs in the manuscript provided in ASCII format with header information about the data Temperatures are provided in °C. Stresses are given in MPa. Strains are given in 1 or % depending on context. Durations are provided in h. Strain/creep rates are provided in 1/s. Phase fractions are provided in vol%.
Data from the revised version of "Creep behavior of a precipitation-strengthened A2-B2 refractory high entropy alloy"
This is an addendum to the previously published dataset with the title "Comprehensive battery aging dataset: capacity and impedance fade measurements of a lithium-ion NMC/C-SiO cell [dataset]" (DOI: 10.35097/1947).In the previous publication, the "cell_eisv2.zip" file was incomplete and only contained data for cells P001_1 to P044_2.The fixed "cell_eisv2_fixed.zip" file of this addendum contains data for all 228 cells P001_1 to P076_3.
Addendum to "Comprehensive battery aging dataset: capacity and impedance fade measurements of a lithium-ion NMC/C-SiO cell [dataset]"
DMG is the TEM images emd is Velox files
Exploring precipitates in a severely deformed Al-Mg-Si alloy at the atomic level
Institut für Telematik (TM), Karlsruher Institut für Technologie (KIT)
A dataset collected by iPhone X with its TrueDepth Camera for point cloud and inertia measurement unit (IMU) for device motion. For capturing ground truth trajectories, a Niryo robotic arm is utilized to provide real time joint angles as well as their forward kinematics.
Institut für Angewandte Materialien – Angewandte Werkstoffphysik (IAM-AWP), Karlsruher Institut für Technologie (KIT)
Die publizierten Daten sind eine Zusammenstellung der erforschten Rohdaten.
The data set contains research data related to the additive manufacturing of test specimens made of amorphous polyether ketone ketone (PEKK-A) and their characterization.
Der Datensatz enthält Forschungsdaten im Zusammenhang zur additiven Fertigung von Probekörpern aus amorphem Polyetherketonketon (PEKK-A) und deren Charakterisierung.
Research on poly(ether ketone ketone) PEKK
The data set contains netCDF files: one per month for vertical profiles of the gases and one per month for the corresponding averaging kernel matrices.
IMK-IAA MIPAS V5 data set of ClONO2, HNO3, HOCl, N2O5, NO, NO2, and O3 vertical profiles and corresponding averaging kernel matrices for October and November 2003
Conventional electrolytes for aluminum metal batteries are highly corrosive because they must remove the Al2O3 layer to enable plating and stripping. However, such corrosiveness impacts the stability of all cell parts, thus hampering the real application of aluminum-metal batteries. The urea/NMA/Al(OTF)3 electrolyte is a non-corrosive alternative to the conventional [EMImCl]: AlCl3 ionic liquid electrolyte (ILE). Unfortunately, this electrolyte demonstrates poor Al plating/stripping, probably because (being not corrosive) it cannot remove the Al2O3 passivation layer. This work proves that no plating/stripping occurs on the Al electrode despite modifying the Al surface. We highlight how urea/NMA/Al(OTF)3 electrolyte and the state of the Al electrode surface impact the interphase layer formation and, consequently, the likelihood and reversibility of Al plating/stripping. We point up the requirement for carefully drying electrolyte mixture and components, as water results in hydrogen evolution reaction and creation of an insulating interphase layer containing Al(OH)3, AlF3, and re-passivated Al oxide, which finally blocks the path for the possible Al plating/stripping.
The data that support the findings of this study are openly available in KIT Library.
Hindered aluminum plating and stripping in urea/NMA/Al(OTF)3 as a Cl-free electrolyte for Al batteries
Contains the diffuse scattering and inelastic x-ray scattering data presented in PRL 129, 247602 (2022)
Soft-Phonon and Charge-Density-Wave Formation in Nematic BaNi2As2
Processed micro-tomographic scan of the ant Acanthomyrmex cf ferox, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cladomyrma sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Synchrotron X-ray microtomographic data of a copulating pair of Cassida rubiginosa leaf beetles analyzed in Matsumura et al. 2025. Two original tomograms were converted to 8 bit and merged into a single volumetric image.
Micro-CT data of copulating Cassida rubiginosa beetles
Processed micro-tomographic scan of the ant Goniomma hispanicum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The implementation is written for the computer algebra System [SageMath](https://www.sagemath.org). It was developed with SageMath version 6.7. The code can be configured by editing the variables at the start of the file. To run the code, simply execute the file with the SageMath interpreter.
This publication contains the implementation of the attacks on the BM-FssAgg and AR-FssAgg cryptographic signature schemes. These attacks were published and presented at the Financial Cryptography Conference 2017.
Implementation of the Attacks on the BM-FssAgg and AR-FssAgg Signature Schemes
Processed micro-tomographic scan of the ant Ochetomyrmex sp n, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Nesomyrmex cf itinerans, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The data were collected with multiple devices and the original files were saved in multiple formats. All data were saved with OriginPro software and analyzed using built-in toolkits. In some cases, the analyzed data is further processed with MS Excel and included in the folders. Original images acquired with Scanning Electron Micrsocope were stored in corresponding folders. For publication they were prepared with CorelDraw graphical editor.
A method for the fabrication of flexible electrical circuits on polyaramid substrates is presented, based on laser-induced carbonisation followed by copper electroplating. Locally carbonised flexible sheets of polyaramid (Nomex), by laser radiation, creates rough and highly porous microstructures that show a higher degree of graphitisation compared to thermally carbonised Nomex sheet. The found recipe for laser-induced carbonisation creates conductivities of up to \SI{\sim 45}{\siemens\per\centi\m}, thereby exceeding that observed for thermally pyrolysed materials (\SI{\sim 38}{\siemens\per\centi\m}) and laser carbon derived from Kapton using same laser wavelength (\SI{\sim 35}{\siemens\per\centi\m}). The electrical conductivity of the carbonised tracks was further improved by electroplating with copper. To demonstrate the electrical performance, fabricated circuits were tested and improvement of the sheet resistance was determined. Copper films exhibit antimicrobial activity and were used to fabricate customised flexible antibacterial coatings. The integration of laser carbonisation and electroplating technologies in a polyaramid substrate points to the development of customised circuit designs for smart textiles operating in high temperature environments.
Polyaramid-Based Flexible Antibacterial Coatings Fabricated Using Laser-Induced Carbonization and Copper Electroplating
Processed micro-tomographic scan of the ant Strumigenys sp silvestri group, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Ophthalmopone hottentotta, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pheidole fracticeps, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cardiocondyla wroughtonii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Nylanderia bourbonica, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Dolichoderus attelaboides, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Anochetus mayri, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Harpegnathos saltator, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Liometopum apiculatum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Digitaler Anhang, der weiterführende Literaturanalysen und Ausführungen zur Dissertation enthält.
Digitaler Anhang Dissertation Sina Peukert zum Thema "Robustheitssteigerung in Produktionsnetzwerken mithilfe eines integrierten Störungsmanagements"
Processed micro-tomographic scan of the ant Syllophopsis aureorugosa, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Leptogenys gaigei, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Wirtschaftsinformatik und Marketing
This dataset contains all calculated eye-based features and cognitive state labels collected during an experience sampling study with eye tracking data. The analysis scripts to develop cognitive state models are also included.
Cognitive State Detection with Eye Tracking in the Field: An Experience Sampling Study and its Lessons Learned - Dataset & Analysis Script
Atmosphärische Umweltforschung (IMK-IFU), Karlsruher Institut für Technologie (KIT)
Data of the article "Intercropping Legumes Improves Long Term Productivity and Soil Carbon and Nitrogen Stocks in Sub-Saharan Africa"
Data: Intercropping Legumes Improves Long Term Productivity and Soil Carbon and Nitrogen Stocks in Sub-Saharan Africa
Processed micro-tomographic scan of the ant Cephalotes pusillus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cataulacus sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Syscia augustae, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Landesanstalt für Umwelt Messung und Naturschutz Baden-Württemberg
General note: The fauna sampling on which the dataset is based on was carried out by IGÖ (GmbH) as part of the long-term ecological monitoring commissioned by the LANDESANSTALT FÜR UMWELT, MESSUNGEN UND NATURSCHUTZ BADEN-WÜRTTEMBERG (LUBW). The sampling in 2001 and 2002 was carried out as part of the doctoral thesis of Dr. Andreas Fuch: Erhebung und Beschreibung der Grundwasserfauna in Baden-Württemberg, 2007, pp.1-109, URL: https://kola.opus.hbz-nrw.de/frontdoor/index/index/docId/175. The data on groundwater quality originates from the LUBW 4.0 data and map service, more precisely from the annual groundwater quality data catalogue (Link: https://umweltdaten.lubw.baden-wuerttemberg.de/workbooks/ElW90OFKM4Yp6SuaXMUC,hash=gqGNSioRDeBveDwfKlVLq7MkNdbkpGvI9WWuqz3AZz2zwkyofMtJQeByuHQ=/worksheets/EcsMAJuFpqt01exTJsUl
This data set contains results of the physical-chemical, faunistic and statistical analysis of the study "Temporal shift of groundwater fauna in South-West Germany" by Fabien Koch, Philipp Blum, Heide Stein, Andreas Fuchs, Hans Jürgen Hahn, Kathrin Menberg in the journal "Hydrology and Earth System Sciences" (HESS) (https://doi.org/10.5194/hess-2024-29).
Dieser Datensatz enthält Ergebnisse physikalisch-chemischer, faunistischer and statistischer Analysen der Studie "Temporal shift of groundwater fauna in South-West Germany" von Fabien Koch, Philipp Blum, Heide Stein, Andreas Fuchs, Hans Jürgen Hahn, Kathrin Menberg in der Zeitschrift "Hydrology and Earth System Sciences" (HESS) (https://doi.org/10.5194/hess-2024-29).
Results of the physical-chemical, faunistic and statistical analysis of groundwater wells in South-West Germany
Institut für Mechanische Verfahrenstechnik und Mechanik
## General Information 1. SiO2: Material: Quartz, Manufacturer: Quarzwerke GmbH, Product Name: SF800 2. ZnO: Material: ZnO, Manufacturer: Quarzwerke GmbH, Product Name: Silatherm 2. SiO2-MAG: Material: SiO2 / Fe3O4 composite, Manufacturer: Microparticles GmbH, Product Name: SiO2-MAG-AR1062 ## Particle Size Distribution For SiO2-MAG the distribution was measured with an analytical disc centrifuge (CPS Instruments), while ZnO and SiO2 were measured by laser diffraction (Helos, Sympatec). ## Zeta Potential All zeta potentials were measured at constant ionic strength I = 0.1M and constant volumetric particle concentration cv = 3.75e−3 vol-%. ## Magnetic Seeded Filtration Experiments Two individual studies (A and B) were performed. A mono-disperse silica-magnetite composite (SiO2-MAG) was used as magnetic seed material, while the non-magnetic particle system was varied between a poly-disperse SiO2 and poly-disperse ZnO powder. Stock suspensions of the dry particle systems were prepared by sonification with the Digital Sonifier 450 fromBranson Ultrasonics Co. (conditioning). A sample of the stock suspension *P_0* was taken and its actual concentration determined, taking deviations in preparation into account. Subsequently, the respective volumes of the stock suspensions to achieve the desired volume concentrations c_v were transferred into a snap-on lid vial. The suspension parameters ionic strength I and pH were adjusted by addition of 2M NaCl solution and 0.5M HCl or NaOH solution respectively. Finally, the experimental volume was filled to V=3mL with ultrapure water. The suspension was agitated for the agglomeration time t_A in the laboratory shaker Vortex Genius 3 from IKA GmbH. After agglomeration, a ferromagnetic separation matrix was immersed in the suspension and the vial was positioned next to a permanent magnet. Magnetic separation was performed for t_S=2min. A representative sample *P_E* was taken from the non-separated suspension and sonified again in order achieve comparable levels of dispersity. Samples *P_0* and *P_E* were analyzed via UV-VIS spectroscopy and the volume concentrations were determined through previously performed, substance- and system-specific calibrations. Separation success is quantified via the separation efficiency of the non-magnetic component defined as A_NM = 1 - (c_v,NM,E / c_v,NM,0). All experiments were measured in triplicate and the resulting standard deviation of the separation efficiency is also supplied. ## Note For more information on magnetic seeded filtration refer to publications by Rhein et al.
The data set contains experimental data on the zeta potential and particle size distribution of SiO$_2$, ZnO and magnetic SiO$_2$-MAG particles. Additionally, experimental data on separation efficiency of magnetic seeded filtration experiments with varying ionic strength and pH is supplied.
Zeta Potential, Particle Size Distribution and Separation Efficiency Data of SiO2 and ZnO Particles during Magnetic Seeded Filtration Experiments with SiO2-MAG
The computations are done in C++ using the Finite Element library deal.II; the plots then are generated with Python. To use this code, deal.II (release 9.5.0) has to be installed, cf. https://www.dealii.org/9.5.0 Read the "Readme.md"- files and follow the instructions to build and run the program.
This code was used for the numerical experiments in the preprint "Error analysis of an implicit-explicit time discretization scheme for semilinear wave equations with application to multiscale problems" by D. Eckhardt and M. Hochbruck and B. Verfürth (cf. Section 5.3)
Error analysis of an implicit-explicit time discretization scheme for semilinear wave equations with application to multiscale problems
Processed micro-tomographic scan of the ant Ectomomyrmex leeuwenhoeki, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Crematogaster rogenhoferi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Camponotus mitis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Camponotus modoc, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Camponotus cingulatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Odontomachus assiniensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Manica rubida, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Please read and refer to our data descriptor: G. Steinbuß, B. Rzepka, S. Bischof, T. Blank and K. Böhm, "FOBSS: Monitoring Data from a Modular Battery System", in the Proceedings of the Tenth ACM International Conference on Future Energy System, 2019
Frequent Observations from a Battery System with Subunits
Processed micro-tomographic scan of the ant Camponotus vittatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pogonomyrmex occidentalis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This data set contains particle size distributions of spherical and aspherical cloud particles between 7.9 and 107 microns with a 300-second time resolution calculated using the Particle Phase Discriminator Mark. 2 Karlsruhe Edition (PPD-2K). The PPD-2K detects individual cloud particles passing a 532 nm laser beam using two nested trigger detectors. The trigger signal is recorded with a maximum rate of 11 kHz that can be used to derive particle size distributions by using the procedure described in Vochezer et al. (2016), doi:10.5194/amt-9-159-2016. For a sub-set of triggered particles a two-dimensional (2-D) scattering pattern is recorded that can be analysed for particle sphericity, shape and complexity by a specifically developed image analysis software. More information on the analysis of particle complexity using the k-value can be found in Schnaiter et al., 2016, doi.org/10.5194/acp-16-5091-2016. From the numbers of observed spherical and aspherical 2-D scattering patterns the fractions of spherical and aspherical particles are derived. Multiplication of those number-based fractions with the total particle size distribution yields phase-specific particle size distribution. The uncertainty due to the fact that the imaged particles are a subset of all sampled particles can be estimated from the Clopper–Pearson confidence limits. The data was collected during the ALaskan Pollution And Chemical Analysis (ALPACA) field project, where PPD-2K was operated by the University of Alaska Fairbanks between January 28th and February 3rd, 2022. The measurement location was 64.83025°N and 147.66654°W. Funding statement: The PPD-2K instrument was provided by Karlsruhe Institute of Technology and funded by the German Helmholtz Association, through its research program “Atmosphere and Climate (ATMO)”. These data were collected by the University of Alaska, Fairbanks researchers as part of a project supported by the Broad Agency Announcement Program from the U.S. Army Cold Regions Research and Engineering Laboratory (ERDC-CRREL) under Contract No. W913E521C0017 from the U.S. Army Basic Research Program (Program Element 0603119A, Ground Advanced Technology).
This netCDF file contains PPD-2K measurements taken during the ALPACA field project. The variables in the file are: - Time: seconds after midnight - Dp: bin midpoint diameters in microns - dNdlogDp: Total particle size distribution normalised with bin width as a function of time and Dp in cm-3 - N: Total concentration as a function of time in cm-3 - N_column: Concentration of particles classified as column as a function of time in cm-3 (contains confidence intervals) - N_droplets: Concentration of particles classified as spherical as a function of time in cm-3 (contains confidence intervals) - N_ice: Concentration of particles classified as aspherical as a function of time in cm-3 (contains confidence intervals) - N_plate: Concentration of particles classified as plates as a function of time in cm-3 (contains confidence intervals) - N_rough_column: Concentration of particles classified as roughened columns as a function of time in cm-3 (contains confidence intervals) - N_rough_plate: Concentration of particles classified as roughened plates as a function of time in cm-3 (contains confidence intervals) - Column_fraction: Size segregated fraction of columns as a function of time and Dp - Plate_fraction: Size segregated fraction of plates as a function of time and Dp - Rough_column_fraction: Size segregated fraction of roughened columns as a function of time and Dp - Rough_plate_fraction: Size segregated fraction of roughened plates as a function of time and Dp - Kvalue: Median size segregated k-value as a function of time and Dp - Variance: Median size segregated variance as a function of time and Dp See more information on the data products from Vochezer et al. (2016), doi:10.5194/amt-9-159-2016, and Schnaiter et al., 2016, doi.org/10.5194/acp-16-5091-2016.
PPD-2K Ice Fog Particle Size and Shape Distributions from ALPACA
Documents: -Design of Experiments: Path information and technological values of the experiments -Data: All dataframes organized by milling machine, material, workpiece and process. -NC Code: NC programs executed on the machines Experimental data: -Machine: Retrofitted DMC 60H and DMG CMX 600 V -Material: S235JR, 2007 T4 -Tools: -VHM-Fräser HPC, TiSi, ⌀ f8 DC: 5mm -VHM-Fräser HPC, TiSi, ⌀ f8 DC: 10mm -VHM-Fräser HPC, TiSi, ⌀ f8 DC: 20mm -Schaftfräser HSS-Co8, TiAlN, ⌀ k10 DC: 5mm -Schaftfräser HSS-Co8, TiAlN, ⌀ k10 DC: 10mm -Schaftfräser HSS-Co8, TiAlN, ⌀ k10 DC: 5mm -Workpiece blank dimensions: 150x75x50mm License: This work is licensed under a Creative Commons Attribution 4.0 International License. Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0).
The present dataset is intended to serve as a basis for developing time series prediction models for milling machines. For this purpose, milling processes were recorded with a sampling rate of 500 Hz on a DMG CMX 600 V (DOI: 10.5445/IR/1000157789) and a DMC 60H (DOI: 10.35097/1738) with a Siemens Industrial Edge. A model training component (workpiece 1) and a validation component (workpiece 2) were milled. Both were used to machine steel and aluminum. Several records were taken with and without the workpiece (aircut) to represent different levels of complexity. The datasets have been prepared as a standardized CSV file for ease of use. The process datasets are extended with simulated input signals according to "Time Series Prediction for Energy Consumption of Computer Numerical Control Axes Using Hybrid Machine Learning Models" (DOI: 10.5445/IR/1000165753). The simulated forces of the DMC 60H were divided by an experimentally determined machine coefficient to obtain a more accurate approximation of the actual forces. The coefficients are 5.42189 for aluminum and 2.78245 for steel.
Der vorliegende Datensatz soll als Grundlage für die Entwicklung von Modellen zur Vorhersage von Zeitreihen für Fräsprozesse dienen. Dazu wurden Fräsprozesse mit einer Abtastrate von 500 Hz auf einer DMG CMX 600 V (DOI: 10.5445/IR/1000157789) und einer DMC 60H (DOI: 10.35097/1738) mit einer Siemens Industrial Edge aufgenommen. Es wurde ein Bauteil für das Modelltraining (Bauteil 1) und ein Bauteil für die Validierung (Bauteil 2) gefertigt. Beide wurden sowohl für die Bearbeitung von Stahl als auch von Aluminium verwendet. Es wurden mehrere Aufnahmen mit und ohne Werkstück (Aircut) gemacht, um unterschiedliche Komplexitäten abbilden zu können. Die vorhandenen Datensätze wurden für eine einfache Anwendung als standardisierte CSV-Datei aufbereitet. Die Prozessdatensätze wurden um simulierte Inputsignale gemäß "Time Series Prediction for Energy Consumption of Computer Numerical Control Axes Using Hybrid Machine Learning Models" (DOI: 10.5445/IR/1000165753) erweitert. Die simulierten Kräfte der DMC 60H wurden durch einen experimentell bestimmten Maschinenkoeffizienten dividiert, um eine genauere Annäherung an die tatsächlichen Kräfte zu erhalten. Die Koeffizienten betragen 5,42189 für Aluminium und 2,78245 für Stahl.
Training and validation dataset 3 of milling processes for time series prediction
This archive contains primary data for the manuscript “Everything Hits at Once: How Remote Rainfall Matters for the Prediction of the 2021 North American Heat Wave”. Article: ------------------------------- * Authors: Oertel, Annika; Pickl, Moritz; Quinting, Julian F.; Hauser, Seraphine; Wandel, Jan Lucas; Magnusson, Linus; Balmaseda, Magdalena; Vitart, Frédéric; Grams, Christian M. * Title: Everything Hits at Once: How Remote Rainfall Matters for the Prediction of the 2021 North American Heat Wave. * Journal: Geophysical research letters * Publication Year: 2023 * doi: https://doi.org/10.1029/2022GL100958 The data set contains numerical experiments produced with the Integrated Forecasting System (IFS) of the European Centre for Medium-Range Weather Forecasts (ECMWF). Following the approach of Magnusson (2017), the forecast model is nudged towards the analysis in a pre-defined regional box during the model integration, leading to a perfect forecast within the box and reduced forecast errors downstream. The experiments, comprising 22 ensemble members plus control forecast each, are initialized on 19, 20 and 21 June 00 UTC and run until 360 hours lead (see Oertel et al. 2023 for details). The nudging is constrained to the region 100°–160°E, 15°–45°N (Experiment “relax_exp_WPAC”). For comparison, additional nudging experiments with a box shifted further upstream (60°–100°E, 0°–60°N) were performed (Experiment “relax_exp_UPSTREAM”). Data description: ------------------------------- The dataset is in netCDF format and contains the variables geopotential (z), temperature (t), zonal (u), meridional (v) and vertical (w) wind components, and specific humidity (q) on the pressure levels 1000, 925, 850, 700, 500, 300, 200 and 100 hPa. References: ------------------------------- Magnusson, L. (2017). Diagnostic methods for understanding the origin of forecast errors. Quarterly Journal of the Royal Meteorological Society, 143 (706), 2129–2142. doi:10.1002/qj.3072
Numerical experiments to "Everything Hits at Once: How Remote Rainfall Matters for the Prediction of the 2021 North American Heat Wave"
# ICON simulation of Saharan dust event over Central Europe on 2021-03-03 Document date: 2023-03-29 Corresponding Author: Name: Kilian Hermes Email: kilian.hermes@mail.de Address: Institute for Climate and Atmospheric Science, University of Leeds, Leeds, United Kingdom License: CC BY-SA 4.0 https://creativecommons.org/licenses/by-sa/4.0/deed.en DOI: https://doi.org/110.5445/IR/1000157325 --------------------------------------------- ## Summary This dataset consists of simulations with the general circulation model ICON for the Saharan dust event over Europe on 03 March 2021. Simulations were performed with prognostic aerosol (icon_art) and without prognostic aerosol (icon). Fields of common atmospheric variables are provided on the native icosahedric ICON grid, and with 3h time spacing. Meteogram-style data for specific locations is provided with 1h time spacing. - v1 of this data release. --------------------------------------------- ## Model information Model version: pre-operational (icon_art) and operational (icon), as of March 2021 Initialization: daily at 00 UTC Grid: R02B07_N02 (no. 51) Coordinates: native ICON grid, cell coordinates in grid descriptor file --------------------------------------------- ## Files and Folders simulations with prognostic aerosol: ./icon_art/fields/iefff00120000.nc ./icon_art/fields/iefff00090000.nc ./icon_art/fields/iefff00000000.nc ./icon_art/fields/iefff01030000.nc ./icon_art/fields/iefff00030000.nc ./icon_art/fields/iefff00060000.nc ./icon_art/fields/iefff00150000.nc ./icon_art/fields/iefff00210000.nc ./icon_art/fields/iefff00180000.nc ./icon_art/fields/iefff01000000.nc ./icon_art/meteograms/meteogram.icon-eu.h.dust.2021030300.exp_10517.nc ./icon_art/meteograms/meteogram.icon-eu.h.dust.2021030400.exp_10517.nc ./icon_art/meteograms/meteogram.icon-eu.h.dust.2021030200.exp_10517.nc simulations without prognostic aerosol: ./icon/fields/iefff00120000.nc ./icon/fields/iefff00090000.nc ./icon/fields/iefff00000000.nc ./icon/fields/iefff01030000.nc ./icon/fields/iefff00030000.nc ./icon/fields/iefff00060000.nc ./icon/fields/iefff00150000.nc ./icon/fields/iefff00210000.nc ./icon/fields/iefff00180000.nc ./icon/fields/iefff01000000.nc ./icon/meteograms/meteogram.icon-eu.h.2021030400.exp_10530.nc ./icon/meteograms/meteogram.icon-eu.h.2021030300.exp_10530.nc ./icon/meteograms/meteogram.icon-eu.h.2021030200.exp_10530.nc grid descripton: ./icon_grid_0051_R02B07_N02.nc height levels: ./HHL_nest.nc ---------------------------------------------
Research data "Impact of Saharan dust outbreaks on short-range weather forecast errors in Europe"
This code facilitates the automated monitoring and tuning of a microfluidic flow reactor using data provided by a benchtop NMR spectrometer. See the README.md provided with the code for more details.
Software used in: "Towards Precision Biocatalysis - Leveraging Inline NMR for Autonomous Experimentation in Flow Reactors"
Column names indicate parameter and resulting KPI values, row indizees indicate unique part number location combination
Parameters and KPIs from the Real Data Use Case
Processed micro-tomographic scan of the ant Oecophylla longinoda, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Ponera sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains FAIR records which describe the tribological experiment Copper under Variable Normal Load #0001, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Variable Normal Load n0001 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Data Repository of the JAMES article on "Modelling intra- and interannual variability of BVOC emissions from maize, oil-seed rape and ryegrass"
Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research– Atmospheric Environmental Research, Garmisch-Partenkirchen, Germany
Leibniz Centre for Agricultural Landscape Research (ZALF), Müncheberg, Germany
Helmholtz Zentrum München, Institute of Biochemical Plant Pathology, Research Unit Environmental Simulation (EUS), Neuherberg, Germany
Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research– Atmospheric Environmental Research, Garmisch-Partenkirchen, Germany; Ludwig-Maximilians-Universität München, Department of Geography, Munich, Germany
BVOCs vary widely among different crops, an aspect that has been largely neglected in emission inventories. In particular, bioenergy-related species can emit mixtures of highly reactive compounds that have received little attention so far. For such species, long-term field observations of BVOC exchange from relevant crops covering different phenological phases are scarcely available. Therefore, we measured and modelled the emission of three prominent European bioenergy crops (maize, ryegrass, and oil-seed rape) for full rotations in north-eastern Germany. Using a proton transfer reaction–mass spectrometer combined with automatically-moving large canopy chambers, we were able to quantify the characteristic seasonal BVOC flux dynamics of each crop species. The measured BVOC fluxes were used to parameterize and evaluate the BVOC emission module (JJv) of the physiology-oriented LandscapeDNDC model, which was enhanced to cover de novo emissions as well as those from plant storage pools. Parameters are defined for each compound individually. The model is used for simulating total compound-specific reactivity over several years and also to evaluate the importance of these emissions for air chemistry. We can demonstrate substantial differences between the investigated crops with oil-seed rape having 37-fold higher total annual emissions than maize. However, due to a higher chemical reactivity of the emitted blend in maize, potential impacts on atmospheric OH-chemistry are only 6-fold higher.
Bundesministerium für Ernährung und Landwirtschaft
Air chemistry, BVOCs, Plant physiology, field observations, Modeling
Simulated and observed BVOC exchange, GPP and biomass from maize, oil-seed rape and ryegrass
Processed micro-tomographic scan of the ant Wasmannia auropuctata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pseudomyrmex termitarius, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Images including *_ in the name are rotated by 90°. This originates from the process of image acquisition and does not harm the quality of the dataset but can be seen as a data augmentation technique. This can be reversed. Images with "N" in the file name are images without defect whereas images with "P" in the file name are images showing Pittings.
The dataset contains of 21835 150x150 Pixel RGB images of the surface of Ball Screw Drives. 11075 of these images are images without surface defects whereas the rest shows images with surface defects in form of so called pittings. So the dataset is evenly split over the classes. Pittings result from surface disruption and can ultimately lead to the breakdown of the component. To keep the availability of machines high it is important to find surface defects in time. The here presented dataset gives researchers and practitioners the possibility to train and test models for the classification of surface defects on machine tool elements.
Ball Screw Drive Surface Defect Dataset for Classification
Processed micro-tomographic scan of the ant Strumigenys subedentata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
# LinearShimDB: A subset of the NMR magnet shimming database ShimDB LinearShimDB is a subset of the NMR magnet shimming database [ShimDB](https://github.com/mobecks/ShimDB) and contains over 9000 instances. Data is acquired on a Spinsolve 80 Carbon spectrometer (Magritek GmbH, Aachen, Germany, www.magritek.com) using a water solution with CuSO4 (5mmol/L). LinearShimDB is part of "Deep Regression with Ensembles enables Fast, First-Order Shimming in low-field NMR" by M. Becker et al. [1]. The acquisition procedure was as follows. The manufacturer's automated shimming technique, based on the downhill simplex method, was used to obtain a reference spectrum of decent quality. Then, all shim values except the three linear shims X, Y and Z were set to zero. The resulting spectrum and corresponding shim settings were used as the reference values. The database parameters were obtained by relative offsets from the reference shim values in a range R with stepsize s, in a grid-like manner. For each combination, the raw FID, acquisition parameters, and the shim values were stored. | Topic | Parameter | Value | |------------------------|------------------|-----------| | Characteristics | Nr. Spectra | 9261 | | | Shim range R | +/- 10000 | | | Step size s | 1000 | | | Shims | X,Y,Z | | Acquisition parameters | Nucleus | 1H | | | Bandwidth | 20kHz | | | Points | 32768 | | | Dwell time | 50us | | | Repetition time | 2000ms | | | Filter | - | | | Phase correction | phi0 | **We strongly encourage researchers to extend ShimDB with their own subsets to stimulate developments. We offer to include raw data or links to your publications into ShimDB.** ## Files format Each folder in LinearShimDB contains the following files: - data.1d -> the raw FID. - shims.par -> Shim values, where only linear shims are non-zero. - acqu.par -> Acquisition parameters. - proc.par -> Processing parameters. The LinearShimDB root folder also contains the reference starting shims (ReferenceShims.par). ## Data loading We deliver a python script ```utils_IO.py``` alongside [ShimDB](https://github.com/mobecks/ShimDB) to easily load the database into numpy array structure using the [nmrglue packages](https://github.com/jjhelmus/nmrglue)[2]. The following python libraries and packages are required: os, numpy, glob, nmrglue (>= v0.9.dev0) # References [1] M. Becker, M. Jouda, A. Kolchinskaya, J. G. Korvink, Deep regression with ensembles enables fast, first-order shimming in low-field NMR, Journal of Magnetic Resonance 2022, 107151, ISSN 1090-7807, https://doi.org/10.1016/j.jmr.2022.107151 [2] J.J. Helmus, C.P. Jaroniec, Nmrglue: An open source Python package for the analysis of multidimensional NMR data, J. Biomol. NMR 2013, 55, 355-367, http://dx.doi.org/10.1007/s10858-013-9718-x
LinearShimDB: A subset of the NMR magnet shimming database ShimDB
Processed micro-tomographic scan of the ant Bothriomyrmex corsicus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Syllophopsis sechellensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Polyrhachis moesta, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Plagiolepis pygmaea, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains FAIR records which describe the tribological experiment Copper under Constant Normal Load #0017, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0017 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
This dataset contains FAIR records which describe the tribological experiment Copper under Variable Normal Load #0004, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Variable Normal Load n0004 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
This archive contains the evaluation for "Formal Specification and Verification for Automated Production Systems". In particular, you find evaluation environments for Chapter 7 (Evaluation (PART I - Generalized Test Tables)), 10 (Relational Test Tables), 11 (Provably Forgetting of Information), and 12 (Modular Regression Verification). For more details, refer to the READMEs of the individual sub-folders.
-------------------------------------------------------------------------------- Formal Specification and Verification for Automated Production Systems Alexander Weigl COMPANTION MATERIAL -------------------------------------------------------------------------------- This bundle contains companion material for the PhD thesis "Formal Specification and Verification for Automated Production Systems". In particular you find following items: 1. Files of the evaluation of the chapters: * Chapter 07: Evaluation (PART I - Generalized Test Tables) * Chapter 10: Relational Test Tables * Chapter 11: Provably Forgetting of Information * Chapter 12: Modular Regression Verification Runtime artefacts and log files are included. Further details are given in the `README.md` files of the sub-directories. 2. Software for the evaluation * `verifaps-lib`: the developed library for the verification of automated production systems (GPL v3) * `eldarica`: used for verification of C files (BSD 3-clause license) * `ic3ia`: used for the of VMT files (generated by `nuXmv`) (GPL v3) Not included and required for some experiments are * [`nuXmv`](https://nuxmv.fbk.eu) (Version: 1.1.1, and 2.0.0), model checker, not included due to license restrictions. * [`SeaHorn`](https://seahorn.github.io/), C program verifier, not included due to its large space size `SeaHorn` can be easly obtained by Docker or Podman: ``` $ podman run -ti seahorn/seahorn-llvm10:nightly ```
Companion Material for the PhD thesis "Formal Specification and Verification for Automated Production Systems"
Institut für Informationssicherheit und Verlässlichkeit (KASTEL), Karlsruher Institut für Technologie (KIT)
Institut für Geographie und Geoökologie (IFGG), Karlsruher Institut für Technologie (KIT)
Dieser Datensatz enthält die Zentralitätsmaße (Bonacich Centrality, Bonacich Power, Flow Betwenness Centrality) aller Städte, die im Februar 2023 entschienen Artikel "Standorte der deutschen Musikindustrie in globalen Netzwerken der Musikproduktion" untersucht wurden (Tabelle 2). Außerdem enthält der Datensatz den Grad aller Städte im Netzwerk. Die Werte wurden mit dem Tool UCINET (Version 6.753) berechnet.
Die .csv enthält eine Tabelle mit allen 184 Städten und ihre zugehörigen Zentralitätsmaße sowie deren Grad, jeweils absolute sowie normalisierte Werte.
This data set contains the centrality measures (Bonacich Centrality, Bonacich Power, Flow Betwenness Centrality) of all cities that were examined in the article "Standorte der deutschen Musikindustrie in globalen Netzwerken der Musikproduktion" (Tabel 2) published in February 2023. Additionally, the dataset contains degrees of all cities in the network. The values were calculated using Tool UCINET (Version 6.753).
Zentralitätsmaße aller Städte zum Standort-Artikel "Standorte der deutschen Musikindustrie in globalen Netzwerken der Musikproduktion"
Processed micro-tomographic scan of the ant Acromyrmex lobicornis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
1) The raw data are organized by the figures they were used for. 2) TEM data are provided as the original .emd or .dm4 files and were analyzed with Velox or Gatan DigitalMicrograph. 3) APT data are provided as a reconstructed .apt file as well as the .rhit raw data file. A SEM image of the respective tip is provided for tip profile reconstruction.
Research data for 10.1002/adem.202201441
Processed micro-tomographic scan of the ant Myrmelachista sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This archive provides supplementary materials for the doctoral thesis Optimized Energy Hub Scheduling Using Evolutionary Algorithms. For an elaborate explanation of the contents, please see README.md.
Optimized Energy Hub Scheduling Using Evolutionary Algorithms - Supplementary Materials
Processed micro-tomographic scan of the ant Hypoponera nippona, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Diacamma rugosum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Acromyrmex versicolor, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Leptogenys birmana, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The MobimaWoodlands dataset consists of two subsets, MobimaWoodlands/Winter and MobimaWoodlands/Summer, with 126 images each. Both subsets are captured manually with handheld cameras. This dataset features typically middle-European mixed forests in summer and in winter. The summer subset is in 16:9 landscape format, while the winter subset is in 4:3 portrait orientation. The dataset includes mask and bounding box annotations for the five object classes: - Stems (0): Trunks and cutted trees with a diameter of approx. ≥10 cm - Trees (1): Trees with a diameter of approx. ≥10 cm - Stumps (2): Tree stumps - Obstacles (3): Non-passable objects not being subject to any of the other groups (e.g. stones, raised hides, way signs) - Persons (4): Complete or partially visible humans
Processed micro-tomographic scan of the ant Prionopelta amabilis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pogonomyrmex brevispinosus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The data comprise the ice nucleation measurements for the SOA, zeolite/SOM, and CFA/SOM particles with the two continuous flow diffusion chambers (CDFCs) INKA and mINKA. The provided zip-file contains four directories (Fig9, Fig10, Fig11, and Fig12) and the additional text file “info.txt”, which explains the contents of the directories and the structure of the data tables. All data tables can be opened in standard text editors or imported in spreadsheet programs like Microsoft Excel. The data are separated by tabs as a delimiter.
Data sets for the research article "How Porosity Influences the Heterogeneous Ice Nucleation Ability of Secondary Organic Aerosol Particles" by Wagner et al. (2024) in the Journal of Geophysical Research (Atmospheres)
Name of the file indicates if the coefficients stored are for natural variability as function of time or distance. The variability is expressed in percents. The coefficients are given in 18 latitude bands, from 90S to 90N, each of 10 degrees large, and for 71 altitudes, from 0 to 71 km.
Regression coefficients of parametrisation of natural atmospheric variability as function of distance and time separation for the atmospheric trace gases: BrO, BrONO$_2$, CH$_3$CL, HNO$_3$, N$_2$O$_5$, CCl$_4$, CFC$_{11}$, CFC$_{113}$, CFC$_{12}$, CH$_4$, ClO, ClONO$_2$, CO, CO$_2$, H$_2$O, HBr, HCl, HF, HNO$_4$, HO$_2$, HOBr, HOCl,, N$_2$O, NO, NO$_2$, NO$_3$, O$_3$, OH, and temperature, calculated on BASCOE model data for ESA VACUUM'R Project.
Regression Coefficients of parametrisation of function of natural atmospheric variability
Processed micro-tomographic scan of the ant Temnothorax brackoi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Hypoponera punctatissima, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The data represented in Figure 3 and Figure 4 of the manuscript in the table form, for detailed explanation see text
Feldspar is an important constituent of airborne mineral dust. Some alkali feldspars exhibit particularly high ice nucleation (IN) activity. This has been related to structural similarities of the ice (10-10) prism planes and the (100) planes of alkali feldspar. Here the effect of generating surfaces with close to (100) orientation by means of chemically induced fracturing on the IN activity of alkali feldspar was investigated experimentally. Gem quality K-rich alkali feldspar was shifted towards more Na-rich compositions by cation exchange with an NaCl-KCl salt melt at 850°C, and a system of parallel cracks with an orientation close to (100) was induced. Droplet freezing assay experiments performed on grain mounts of the cation exchanged alkali feldspars revealed an increase of the overall density of ice nucleating active sites (INAS) with respect to the untreated feldspar. In addition, annealing at 550°C subsequent to primary cation exchange further enhanced the INAS density and lead to IN activity at exceptionally high temperatures. Although very efficient in experiment, fracturing by cation exchange is unlikely to be of relevance in the conditioning of alkali feldspars in nature. However, parting planes with similar orientation as the chemically induced cracks may be generated in lamellar microstructures resulting from the exsolution of initially homogeneous alkali feldspar, a widespread phenomenon in natural alkali feldspar known as perthite formation. Perthitic alkali feldspars indeed show the highest IN activity. We ascribe this phenomenon to the preferential exposure of crystal surfaces oriented sub-parallel to (100).
Supplementary data for the manuscript "Effect of chemically induced fracturing on the ice nucleation activity of alkali feldspar" by Kiselev et al., ACP 2021
Processed micro-tomographic scan of the ant Cephalotes serraticeps, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Fulakora elongata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Inv3D: a high-resolution 3D invoice dataset for template-guided single-image document unwarping - Train split part 4 of 4
Repository containing Jupyter Notebooks for data analyses for the thesis ***Electron Microscopic Investigation of Superconducting Fe- and Cu-based Thin Films*** by Lukas Grünewald.
Data-Analysis Notebooks for the Thesis 'Electron Microscopic Investigation of Superconducting Fe- and Cu-based Thin Films'
# Experimental Data for the Paper "Finding Optimal Diverse Feature Sets with Alternative Feature Selection" (Version 2) These are the experimental data for the second version (v2) of the paper> Bach, Jakob. "Finding Optimal Diverse Feature Sets with Alternative Feature Selection" , published at [arXiv](https://arxiv.org/) in 2024. If we create further versions of this paper in the future, these experimental data may cover them as well. Check our [GitHub repository](https://github.com/Jakob-Bach/Alternative-Feature-Selection) for the code and instructions to reproduce the experiments. The data were obtained on a server with an `AMD EPYC 7551` CPU (32 physical cores, base clock of 2.0 GHz) and 128 GB RAM. The operating system was `Ubuntu 20.04.6 LTS`. The Python version was `3.8`. With this configuration, running the experimental pipeline (`run_experiments.py`) took about 255 h. Note that the data originate from two separate runs of the experimental pipeline since we re-ran a subset of the experimental tasks to include heuristic search methods for alternatives. Only two out of five feature-selection methods were affected by these changes (as the heuristics do not work for the others), so we did not run the full pipeline again. Results for the feature-selection methods `FCBFSelector`, `GreedyWrapperSelector`, and `MRMRSelector` base on a run of the experimental pipeline (`run_experiments.py`) at the commit [`2212360a32`](https://github.com/Jakob-Bach/Alternative-Feature-Selection/tree/2212360a320121862556bc8d54da45cb6dc8ee93). Results for the feature-selection methods `MISelector` and `ModelImportanceSelector` base on a run of the experimental pipeline (`run_experiments.py`) at the commit [`ae73417c9c`](https://github.com/Jakob-Bach/Alternative-Feature-Selection/tree/ae73417c9cf64aedd77e02a50a3df8955e177251). The commit hash for the last run of the evaluation pipeline (`run_evaluation_arxiv.py`) is [`898e9ebedf`](https://github.com/Jakob-Bach/Alternative-Feature-Selection/tree/898e9ebedfae642f4c6be80244b79fdce3920500). We also tagged all relevant commits (`run-2023-06-23`, `run-2024-01-23`, and `evaluation-2024-02-01`). The experimental data are stored in two folders, `datasets/` and `results/`. Further, the console output of `run_evaluation_arxiv.py` is stored in `Evaluation_console_output.txt` (manually copied from the console to a file). In the following, we describe the structure and content of each data file. ## `datasets/` These are the input data for the experimental pipeline `run_experiments.py`, i.e., prediction datasets. The folder contains one overview file, one license file, and two files for each of the 30 datasets. The original datasets were downloaded from [PMLB](https://epistasislab.github.io/pmlb/) with the script `prepare_datasets.py`. Note that we do not own the copyright for these datasets. However, the [GitHub repository of PMLB](https://github.com/EpistasisLab/pmlb), which stores the original datasets, is MIT-licensed ((c) 2016 Epistasis Lab at UPenn). Thus, we include the file `LICENSE` from that repository. After downloading from `PMLB`, we split each dataset into the feature part (`_X.csv`) and the target part (`_y.csv`), which we save separately. Both files are CSVs only containing numeric values (categorical features are ordinally encoded in `PMLB`) except for the column names. There are no missing values. Each row corresponds to a data object (= instance, sample), and each column corresponds to a feature. The first line in each CSV contains the names of the features as strings; for `_y.csv` files, there is only one column, always named `target`. `_dataset_overview.csv` contains meta-data for the datasets, like the number of instances and features. ## `results/` These are the output data of the experimental pipeline in the form of CSVs, produced by the script `run_experiments.py`. `_results.csv` contains all results merged into one file and acts as input for the script `run_evaluation_arxiv.py`. The remaining files are subsets of the results, as the experimental pipeline parallelizes over 30 datasets, 5 cross-validation folds, and 5 feature-selection methods. Thus, there are `30 * 5 * 5 = 750` files containing subsets of the results. Each row in a result file corresponds to one feature set. One can identify individual search runs for alternatives with a combination of multiple columns, i.e.: - dataset `dataset_name` - cross-validation fold `split_idx` - feature-selection method `fs_name` - search method `search_name` - objective aggregation `objective_agg` - feature-set size `k` - number of alternatives `num_alternatives` - dissimilarity threshold `tau_abs` The remaining columns mostly represent evaluation metrics. In detail, all result files contain the following columns: - `selected_idxs` (list of ints, e.g., `[0, 4, 5, 6, 8]`): The indices (starting from 0) of the selected features (i.e., columns in the dataset). Might also be an empty list, i.e., `[]` if no valid solution was found. In that case, the two `_objective` columns and the four `_mcc` columns contain a missing value (empty string). - `train_objective` (float in `[-1,1]`): The training-set objective value of the feature set. Three feature-selection methods (*FCBF*, *MI*, *Model Importance*) have the range `[0,1]`, while two methods (*mRMR*, *Greedy Wrapper*) have the range `[-1,1]`. - `test_objective` (float in `[-1,1]` ): The test-set objective value of the feature set. - `optimization_time` (non-negative float): Time for alternative feature selection in seconds. The interpretation of this value depends on the search method for alternatives and the feature-selection method. (1a) In solver-based search for alternatives in combination with white-box feature-selection methods, this value corresponds to one solver call. (1b) In solver-based search for alternatives in combination with wrapper feature selection, we record the total runtime of the *Greedy Wrapper* algorithm, which calls the solver and trains prediction models multiple times. (2) In heuristic search for alternatives (algorithms *Greedy Balancing* and *Greedy Replacement*), we record the total runtime of the heuristic search algorithms. - `optimization_status` (int in `{0, 1, 2, 6}`): The status of the solver-based or heuristic search method for alternatives; for wrapper feature selection, this is only the status of the last solver call and only refers to a satisfiability problem rather than the (black-box) optimization problem. - 0 = (proven as) optimal; cannot occur for heuristic search methods - 1 = feasible (valid solution, but might be suboptimal) - 2 = (proven as) infeasible; cannot occur for heuristic search methods - 6 = not solved (no valid solution found, but one might exist) - `decision_tree_train_mcc` (float in `[-1,1]`): Training-set prediction performance (in terms of Matthews Correlation Coefficient) of a decision tree trained with the selected features. - `decision_tree_test_mcc` (float in `[-1,1]`): Test-set prediction performance (in terms of Matthews Correlation Coefficient) of a decision tree trained with the selected features. - `random_forest_train_mcc` (float in `[-1,1]`): Training-set prediction performance (in terms of Matthews Correlation Coefficient) of a random forest trained with the selected features. - `random_forest_test_mcc` (float in `[-1,1]`): Test-set prediction performance (in terms of Matthews Correlation Coefficient) of a random forest trained with the selected features. - `k` (int in `{5, 10}`): The number of features to be selected. - `tau_abs` (int in `{1, ..., 10}`): The dissimilarity threshold for alternatives, corresponding to the absolute number of features (`k * tau`) that have to differ between feature sets. - `num_alternatives` (int in `{1, 2, 3, 4, 5, 10}`): The number of desired alternative feature sets, not counting the original (zeroth) feature set. A number from `{1, 2, 3, 4, 5}` for solver-based simultaneous search and *Greedy Balancing*, but always `10` for solver-based sequential search and *Greedy Replacement*. - `objective_agg` (string, 2 different values): The name of the quality-aggregation function for alternatives (`min` or `sum`). Min-aggregation or sum-aggregation for solver-based simultaneous search but always sum-aggregation for the remaining search methods (where the aggregation does not matter for the search). - `search_name` (string, 4 different values): The name of the search method for alternatives (`search_greedy_balancing`, `search_greedy_replacement`, `search_sequentially`, or `search_simultaneously`). *Greedy Balancing* and *Greedy Replacement* are (solver-free) heuristics and are only combined with two feature-selection methods (*MI* and *Model Importance*). The other two values denote solver-based search here (though in the paper, we also categorize optimization problems as sequential/simultaneous, no matter how they are solved) and are combined with all five feature-selection methods. - `fs_name` (string, 5 different values): The name of the feature-selection method (`FCBFSelector`, `MISelector`, `ModelImportanceSelector` (= *Model Gain* in the paper), `MRMRSelector`, or `GreedyWrapperSelector`). - `dataset_name` (string, 30 different values): The name of the `PMLB` dataset. - `n` (positive int): The number of features of the `PMLB` dataset. - `split_idx` (int in `[0,4]`): The index of the cross-validation fold. - `wrapper_iters` (int in `[1,1000]`): The number of iterations in case wrapper feature selection was used, missing value (empty string) in the other cases. This column does not exist in result files not containing wrapper results. You can easily read in any of the result files with `pandas`: ```python import pandas as pd results = pd.read_csv('results/_results.csv') ``` All result files are comma-separated and contain plain numbers and unquoted strings, apart from the column `selected_features` (which is quoted and represents lists of integers). The first line in each result file contains the column names. You can use the following code to make sure that lists of feature indices are treated as such (rather than strings): ```python import ast results['selected_idxs'] = results['selected_idxs'].apply(ast.literal_eval) ```
These are the experimental data for the second version (v2) of the paper> Bach, Jakob. "Finding Optimal Diverse Feature Sets with Alternative Feature Selection" published on [arXiv](https://arxiv.org/) in 2024. You can find the paper [here](https://doi.org/10.48550/arXiv.2307.11607) and the code [here](https://github.com/jakob-bach/alternative-feature-selection). See the `README` for details. The datasets used in our study (which we also provide here) originate from [PMLB](https://epistasislab.github.io/pmlb/). The corresponding [GitHub repository](https://github.com/EpistasisLab/pmlb) is MIT-licensed ((c) 2016 Epistasis Lab at UPenn). Please see the file `LICENSE` in the folder `datasets/` for the license text.
Experimental Data for the Paper "Finding Optimal Diverse Feature Sets with Alternative Feature Selection" (Version 2)
Natürliche und gebaute Umwelt (BL4), Karlsruher Institut für Technologie (KIT)
Städte und Gemeinden stehen vor der herausfordernden Aufgabe, ihre Kommunen an die zu erwartenden Folgen des Klimawandels anzupassen. Deutlich höhere Sommertemperaturen und Hitzeextremereignisse, ein klimatischer Wechsel von dem früher sehr häufigen und regelmäßigen Landregen im Sommer hin zu wochenlangen Dürrephasen, und vermehrt einzelne Starkregenereignisse deren Wassermassen die vorhandene Infrastruktur nicht abfangen kann - sind sehr wahrscheinliche Folgen, denen die heutige Planung gerecht werden muss. Die Kommunen stehen daher vor der herausfordernden Aufgabe, die Belange der Klimaanpassung bestmöglich in ihre Planungen zu integrieren. Zur Unterstützung wurde bereits eine große Vielzahl an Leitfäden zu kommunalen Klimaanpassung entwickelt und veröffentlicht - der Nachteil dieser Vielfalt jedoch ist der hohe Zeitaufwand, um sich über die diversen Themen einen Überblick zu verschaffen. Die hier vorliegenden Tabellen sind ein Versuch, undabhängig von spezifischen Projekten die vorhandene Vielfalt an konkreten Maßnahmen zur kommunalen Klimaanpassung und das vorhandene Wissen zu den Einzelmaßnahmen zusammenzutragen. Die Maßnahmen im besiedelten Raum sind zunächst nach ihrer Anpassungsthematik gegliedert, wobei einzelne Maßnahmen auch verschiedenen Anpassungsthemen dienen können. Die Maßnahmen sind zur besseren Übersicht in Kategorien gruppiert, die der gleichen Art angehören oder den gleichen Zweck verfolgen. Zu jeder Maßnahme sind diverse Zusatzinformationen gegeben, die für den Planenden von Relevanz sein können. Jede Zusatzinformation (Spalte) enthält neben ihrer Bezeichnung eine Kurzbeschreibung, welche die enthaltenen Informationen charakterisiert. Jede Maßnahme wird als erstes über eine Kurzbeschreibung definiert bzw. beschrieben. Es folgen Wirkungsbeschreibungen, die den Planenden bei der Argumentation der Maßnahme (bspw. im Begründungsteil des Bebauungsplans) behilflich sein können. Wenn vorhanden, sind konkrete Zahlen oder Berechnungsansätze zur Wirkungsabschätzung gegeben. Es folgen Informationen u.a. zum Planbezug, die Einschätzung der Eignung der Maßnahmen in bestimmten Stadtstrukturtypen, Einschätzungen zu Kosten und Flächenbedarf, der Verwendung im Bestand versus Neubau, sowie Hinweise zu weiterführender Literatur. Alle Maßnahmen sowie Zusatzinformationen sind bereits veröffentlichten Leitfäden und Berichten entnommen, es handelt sich hier also um ein Reviewbeitrag, der keinen Bezug zu einem speziellen oder einer Gruppe an Projekten hat. Die Kategorisierung der Maßnahmen sowie die Einschätzung ihrer Eignung für den Bestand versus Neubau erfolgte durch die Autorinnen. Dies ist die erste Auflage dieser Maßnahmensammlung. Einige Felder haben noch keine Informationen, oder können ggf. durch die Praxis anders eingeschätzt werden. Sobald genügend neue Informationen vorliegen bzw. der jetzige Stand umfassend überarbeitet wurde, wird die Tabelle als neue Auflage erneut veröffentlicht werden. Falls Sie hierzu Anmerkungen haben, eine überarbeitbare Fassung der Tabellen wünschen oder weitere Informationen integrieren möchten, wenden Sie sich bitte an: denise.boehnke@kit.edu
Die aktualisierten Daten finden Sie unter https://doi.org/10.35097/hskt7ytp75d90269 Falls Sie hierzu Anmerkungen haben, eine überarbeitbare Fassung der Tabellen wünschen oder weitere Informationen integrieren möchten, wenden Sie sich bitte an: denise.boehnke@kit.edu
Cities and municipalities are faced with the challenging task of adapting their communities to the expected consequences of climate change. Significantly higher summer temperatures, a climatic change from the previously very frequent and regular land rainfall in summer to weeks of drought, and an increase in individual heavy rainfall events whose water masses cannot be compensated by the existing structure - these are very likely consequences that today's planning must address. Local authorities are therefore faced with the challenging task of integrating climate adaptation concerns into their planning in the best possible way. A large number of German guidelines on municipal climate adaptation are available for this purpose. The disadvantage of this diversity, however, is the amount of time required to gain an overview of the various topics. WIthout relating to specific projects, the tables presented here are an attempt to summarise the existing variety of specific measures for municipal climate adaptation and the available knowledge on the individual measures. (in German)
Maßnahmensammlung zur kommunalen Klimaanpassung (Vorläufige Version)
Forschungsdaten zur Publikation: N2-Physisorption (BET), TEM- / REM-Bilder, EDX-Analyse, XPS-Analyse, XRD-Analyse, FTIR-Analyse, Katalysatortests
Data available for N2 physisorption (pdf files), SEM (tif files or word documents), TEM (tif / png files, instrument specific data format), XRD (asc files or instrument specific software), catalytic data for syngas-to-dimethyl ether process (Excel files), XPS (Excel files), FTIR (Excel files)
Data to publication: N2 physisorption (BET), TEM and SEM images, EDX analysis, XPS analysis, XRD analysis, FTIR analysis, catalytic expriments
bifunctional catalysts syngas-to-dimethyl ether process model catalysts palladium / ceria nanoparticles IR spectroscopy
Research data to "Single-Step Synthesis of Dimethyl Ether from Syngas over Nanoparticle-Derived Bifunctional Pd/CeO2/Al2O3 Catalysts"
# Experimental Data for the Dissertation "Leveraging Constraints for User-Centric Feature Selection" These are the experimental data for the dissertation> Bach, Jakob. "Leveraging Constraints for User-Centric Feature Selection" at the [Department of Informatics](https://www.informatik.kit.edu/english/index.php) of the [Karlsruhe Institute of Technology](https://www.kit.edu/english/). The subfolders correspond to individual chapters of the dissertation: - `chap4-syn`: Chapter 4 - "Evaluating the Impact of Constraints on Feature-Selection Results" - `chap5-ms`: Chapter 5 - "Formulating Scientific Hypotheses as Constraints - A Case Study" - `chap6-afs`: Chapter 6 - "Finding Alternative Feature Sets" - `chap7-csd`: Chapter 7 - "Discovering Sparse and Alternative Subgroup Descriptions" See the corresponding `README` files in the subfolders for more information. We already published prior versions of the experimental data, as the dissertation bases on prior papers: - Chapters 4 and 5: [Data](https://doi.org/10.35097/1345) for the [paper](https://doi.org/10.1007/s42979-022-01338-z) "An Empirical Evaluation of Constrained Feature Selection" - Chapter 6: [Data](https://doi.org/10.35097/1920) for the [paper](https://doi.org/10.48550/arXiv.2307.11607) "Finding Optimal Diverse Feature Sets with Alternative Feature Selection" (Version 2) - Chapter 7: [Data](https://doi.org/10.35097/caKKJCtoKqgxyvqG) for the [paper](https://doi.org/10.48550/arXiv.2406.01411) "Using Constraints to Discover Sparse and Alternative Subgroup Descriptions" (Version 1) For Chapters 4, 5, and 7, we mainly consolidate the existing data. In particular, all `*.csv` files (datasets and results) remain unchanged compared to the data linked above. For Chapter 6, we reran the experimental pipeline to integrate a change for the feature-selection method "Greedy Wrapper". The other feature-selection methods have not changed, but experimental data may slightly differ regarding runtimes and for results affected by solver timeouts. For all four chapters, the following files (in each subfolder) differ from prior versions: - `Evaluation_console_output.txt`: The dissertation's evaluation partly differs from the papers' evaluations (e.g., some analyses added, adapted, or removed). - `README.md`: We adapted these files to the context of the dissertation, added some explanations, and proofread them.
These are the experimental data for the dissertation> Bach, Jakob. "Leveraging Constraints for User-Centric Feature Selection" at the [Department of Informatics](https://www.informatik.kit.edu/english/index.php) of the [Karlsruhe Institute of Technology](https://www.kit.edu/english/). You can find the dissertation [here](https://doi.org/10.5445/IR/1000178649). See the `README` for details. Many input datasets (which we also provide here) either - originate from [OpenML](https://www.openml.org) and are CC-BY-licensed or - originate from [PMLB](https://epistasislab.github.io/pmlb/) and are MIT-licensed. Please see the `LICENSE` files in the corresponding `datasets/` subfolders for details.
Experimental Data for the Dissertation "Leveraging Constraints for User-Centric Feature Selection"
Polymer pyrolysis has emerged as a simple and versatile method to synthesize graphenoid (graphene like) materials with varying thickness and properties. The morphology of the thin film, especially the thickness, greatly affects the graphitizability (ability to from ordered graphene/ graphite) and thus the properties of the resulting graphenoid material. Using in situ current annealing inside a transmission electron microscope (TEM), we followed the thickness-dependent structural evolution of the polymer film with a special focus on thickness effects. Up to intermediate temperatures, the structural evolution during current annealing is similar to the evolution during thermal annealing of the thin films. At higher temperatures, thin samples form large graphene layers oriented parallel to the substrate, whereas in thick samples multi-walled cage-like structures are formed. MD simulations reveal a critical film thickness of 40 Å below which, the carbonized layers align parallel to the surface. For thicker samples, the orientation of the layers becomes increasingly misoriented starting from the surface to the center. This structural change can be attributed to the formation of bonded multi-layers from the initially unsaturated activated edges. The resulting cage-like structures are stable even during simulated annealing at temperatures as high as 3500 K. An atomistic understanding of the formation of these structures is presented. The results clearly indicate the critical effect of thickness on graphitizability of polymers and provide a new understanding of the structural evolution during pyrolysis.
Information on the data formats provided in the individual subdirectories
Graphitizability of polymer thin films: an in situ TEM study of thickness effects on nanocrystalline graphene/glassy carbon formation
New dataset see relations. Provided data: Folder: Catalyst state and conversion - XAS -XAS: Columns within the files: 1) Energy (DCM_2Pitch) 2) Detector before sample (Ioni1) 3) Detector behind sample (Ioni2) 4) Detector behind reference Pt foil for alignment (Ioni3) 5) Fluorescence detector (Fluo_1) - Temperatures and CO conversion during XAS data acquisition Folder: Conversion profiles - Profile reactor - Spatially resolved gas phase investigations (positions and CO conversions) Folder: Temperature - IR - IR thermograms and temperature histograms Folder: Estimations MTL - Estimations on various parameters
Role of powders and coatings - preliminary data
Institut für Nanotechnologie, Helmholtz-Institut Ulm, Karlsruhe Nano Micro Facility
The development of commercially viable fuel cells and metal air batteries requires effective and cheap bifunctional catalysts for the oxygen reduction reaction (ORR) and the oxygen evolution reaction (OER). Multi-component Pt-Fe-Co-Ni nanoparticles on multi-walled carbon nanotubes (MWCNTs) were synthesized by wet chemistry route via NaBH4 reduction of metal salts, followed by sintering at different temperatures. The catalyst demonstrates an excellent ORR activity and a promising OER activity in 0.1 m KOH, with a bi-functional overpotential, ΔE of 0.83 V, which is comparable to the values of Pt/C or RuO2. Furthermore, it shows outstanding long-term stability in ORR and OER, namely diffusion limited current density at a potential of 0.3 V decreased just by 5.5% after 10000 cycles in ORR. The results of the PFCN@NT300 indicate a significant effect of the substitution of Pt by the transition metal (TM) and the formation of nanoparticles on the catalytic performance, especially in the OER.
TEM data in Velox and Digital Micrograph format, XPS data in CASA format, TGA as text file, XRD as text file with angle and intensity.
Multi-Component PtFeCoNi Core-Shell Nanoparticles on MWCNTs as Promising Bifunctional Catalyst for Oxygen Reduction and Oxygen Evolution Reactions
The TEM data can be open and analysis through Velox (Thermofisher).
Simultaneously improving sodium ionic conductivity and dendrite behaviour of NaSICON ceramics by grain-boundary modification
This supplementary material includes all study material, code, and results of the thesis: Elicitation and Classification of Security Requirements for EVerest by Debora Marettek. Further information on its content can be found in the ReadMe file.
Supplementary Material of Elicitation and Classification of Security Requirements for EVerest
These are the experimental data for the paper> Bach, Jakob, and Klemens Böhm. "Alternative feature selection with user control" published in the [International Journal of Data Science and Analytics](https://link.springer.com/journal/41060) in 2024. You can find the paper [here](https://doi.org/10.1007/s41060-024-00527-8) and the code [here](https://github.com/jakob-bach/alternative-feature-selection). See the `README` for details. The datasets used in our study (which we also provide here) originate from [PMLB](https://epistasislab.github.io/pmlb/). The corresponding [GitHub repository](https://github.com/EpistasisLab/pmlb) is MIT-licensed ((c) 2016 Epistasis Lab at UPenn). Please see the file `LICENSE` in the folder `datasets/` for the license text.
# Experimental Data for the Paper "Alternative feature selection with user control" These are the experimental data for the paper> Bach, Jakob, and Klemens Böhm. "Alternative feature selection with user control" published in the [International Journal of Data Science and Analytics](https://link.springer.com/journal/41060) in 2024. Check our [GitHub repository](https://github.com/Jakob-Bach/Alternative-Feature-Selection) for the code and instructions to reproduce the experiments. The data were obtained on a server with an `AMD EPYC 7551` CPU (32 physical cores, base clock of 2.0 GHz) and 128 GB RAM. The operating system was `Ubuntu 20.04.6 LTS`. The Python version was `3.8`. With this configuration, running the experimental pipeline (`run_experiments.py`) took about 255 h. The commit hash for the last run of the experimental pipeline (`run_experiments.py`) is [`2212360a32`](https://github.com/Jakob-Bach/Alternative-Feature-Selection/tree/2212360a320121862556bc8d54da45cb6dc8ee93). The commit hash for the last run of the evaluation pipeline (`run_evaluation_journal.py`) is [`758b71e70b`](https://github.com/Jakob-Bach/Alternative-Feature-Selection/tree/758b71e70b941a54c88bda17a5591698dafcc03c). We also tagged both commits (`run-2023-06-23` and `evaluation-2024-03-19`). The experimental data are stored in two folders, `datasets/` and `results/`. Further, the console output of `run_evaluation_journal.py` is stored in `Evaluation_console_output.txt` (manually copied from the console to a file). In the following, we describe the structure and content of each data file. ## `datasets/` These are the input data for the experimental pipeline `run_experiments.py`, i.e., prediction datasets. The folder contains one overview file, one license file, and two files for each of the 30 datasets. The original datasets were downloaded from [PMLB](https://epistasislab.github.io/pmlb/) with the script `prepare_datasets.py`. Note that we do not own the copyright for these datasets. However, the [GitHub repository of PMLB](https://github.com/EpistasisLab/pmlb), which stores the original datasets, is MIT-licensed ((c) 2016 Epistasis Lab at UPenn). Thus, we include the file `LICENSE` from that repository. After downloading from `PMLB`, we split each dataset into the feature part (`_X.csv`) and the target part (`_y.csv`), which we save separately. Both files are CSVs only containing numeric values (categorical features are ordinally encoded in `PMLB`) except for the column names. There are no missing values. Each row corresponds to a data object (= instance, sample), and each column corresponds to a feature. The first line in each CSV contains the names of the features as strings; for `_y.csv` files, there is only one column, always named `target`. `_dataset_overview.csv` contains meta-data for the datasets, like the number of instances and features. ## `results/` These are the output data of the experimental pipeline in the form of CSVs, produced by the script `run_experiments.py`. `_results.csv` contains all results merged into one file and acts as input for the script `run_evaluation_journal.py`. The remaining files are subsets of the results, as the experimental pipeline parallelizes over 30 datasets, 5 cross-validation folds, and 5 feature-selection methods. Thus, there are `30 * 5 * 5 = 750` files containing subsets of the results. Each row in a result file corresponds to one feature set. One can identify individual search runs for alternatives with a combination of multiple columns, i.e.: - dataset `dataset_name` - cross-validation fold `split_idx` - feature-selection method `fs_name` - search method `search_name` - objective aggregation `objective_agg` - feature-set size `k` - number of alternatives `num_alternatives` - dissimilarity threshold `tau_abs` The remaining columns mostly represent evaluation metrics. In detail, all result files contain the following columns: - `selected_idxs` (list of ints, e.g., `[0, 4, 5, 6, 8]`): The indices (starting from 0) of the selected features (i.e., columns in the dataset). Might also be an empty list, i.e., `[]` if no valid solution was found. In that case, the two `_objective` columns and the four `_mcc` columns contain a missing value (empty string). - `train_objective` (float in `[-1,1]`): The training-set objective value of the feature set. Three feature-selection methods (*FCBF*, *MI*, *Model Importance*) have the range `[0,1]`, while two methods (*mRMR*, *Greedy Wrapper*) have the range `[-1,1]`. - `test_objective` (float in `[-1,1]` ): The test-set objective value of the feature set. - `optimization_time` (non-negative float): Time for alternative feature selection in seconds. The interpretation of this value depends on the feature-selection method. For white-box feature-selection methods, this value corresponds to one solver call. For wrapper feature selection, we record the total runtime of the *Greedy Wrapper* algorithm, which calls the solver and trains prediction models multiple times. - `optimization_status` (int in `{0, 1, 2, 6}`): The status of the solver; for wrapper feature selection, this is only the status of the last solver call and only refers to a satisfiability problem rather than the (black-box) optimization problem. - 0 = (proven as) optimal - 1 = feasible (valid solution, but might be suboptimal) - 2 = (proven as) infeasible - 6 = not solved (no valid solution found, but one might exist) - `decision_tree_train_mcc` (float in `[-1,1]`): Training-set prediction performance (in terms of Matthews Correlation Coefficient) of a decision tree trained with the selected features. - `decision_tree_test_mcc` (float in `[-1,1]`): Test-set prediction performance (in terms of Matthews Correlation Coefficient) of a decision tree trained with the selected features. - `random_forest_train_mcc` (float in `[-1,1]`): Training-set prediction performance (in terms of Matthews Correlation Coefficient) of a random forest trained with the selected features. - `random_forest_test_mcc` (float in `[-1,1]`): Test-set prediction performance (in terms of Matthews Correlation Coefficient) of a random forest trained with the selected features. - `k` (int in `{5, 10}`): The number of features to be selected. - `tau_abs` (int in `{1, ..., 10}`): The dissimilarity threshold for alternatives, corresponding to the absolute number of features (`k * tau`) that have to differ between feature sets. - `num_alternatives` (int in `{1, 2, 3, 4, 5, 10}`): The number of desired alternative feature sets, not counting the original (zeroth) feature set. A number from `{1, 2, 3, 4, 5}` for simultaneous search, but always `10` for sequential search. - `objective_agg` (string, 2 different values): The name of the quality-aggregation function for alternatives (`min` or `sum`). Min-aggregation or sum-aggregation for simultaneous search but always sum-aggregation for sequential search. (In fact, sequential search only optimizes individual feature sets anyway, so the aggregation does not matter for the search.) - `search_name` (string, 2 different values): The name of the search method for alternatives (`search_sequentially` or `search_simultaneously`). - `fs_name` (string, 5 different values): The name of the feature-selection method (`FCBFSelector`, `MISelector`, `ModelImportanceSelector` (= *Model Gain* in the paper), `MRMRSelector`, or `GreedyWrapperSelector`). - `dataset_name` (string, 30 different values): The name of the `PMLB` dataset. - `n` (positive int): The number of features of the `PMLB` dataset. - `split_idx` (int in `[0,4]`): The index of the cross-validation fold. - `wrapper_iters` (int in `[1,1000]`): The number of iterations in case wrapper feature selection was used, missing value (empty string) in the other cases. This column does not exist in result files not containing wrapper results. You can easily read in any of the result files with `pandas`: ```python import pandas as pd results = pd.read_csv('results/_results.csv') ``` All result files are comma-separated and contain plain numbers and unquoted strings, apart from the column `selected_features` (which is quoted and represents lists of integers). The first line in each result file contains the column names. You can use the following code to make sure that lists of feature indices are treated as such (rather than strings): ```python import ast results['selected_idxs'] = results['selected_idxs'].apply(ast.literal_eval) ```
Experimental Data for the Paper "Alternative feature selection with user control"
Data of the experiments for the assimilation of observations of free tropospheric specific humidity (q), temperature (T), and water vapour isotopologue ratio (δD). For the observations the uncertainty and the horizontal and temporal coverage of the MUSICA IASI dataset (but aggregated on the 200km x 200km gridding of the model IsoGSM) is assumed. The experiments are made for July and August 2016. A detailed description is given in the provided ReadMe file.
Observation System Simulation Experiment (OSSE), Assimilation Experiment, Specific Humidity, Temperature, Water Vapour Isotopologues, Free Troposphere, Vertical Velocity, Latent Heating, Precipitation
MUSICA IASI water isotopologue OSSE assimilation experiments (used in AMT study)
PPD-2K Size Distribution for DOME_C_final_sum_level2 file from 11-21-2023 094440 UTC until 01-07-2024 222452 UTC. Calibration coefficients: a = 2, b = 0.522 and c = 0 PPD flow: 5 lpm Data produced with 10 s averaging 1st Column: datetime in UTC 2nd Column: Ntot, Total concentration in 1/ccm 3rd Column: dNtot, Uncertainty in total concentration in 1/ccm 4th Column: Droplet_fraction 5th Column: Droplet_fraction upper Clopper-Pearson confidence interval 6th Column: Droplet_fraction lower Clopper-Pearson confidence interval 7th Column onwards: dN/dlogDp for spherical equivalent diameter size bins in 1st row
In-situ measurements of small atmospheric ice crystals (< 100 µm) on the Antarctic plateau are rare. Yet, small ice crystals are abundant in a region that often reaches cirrus temperatures even in the warmest season. The Particle Phase Discriminator (PPD-2K) was deployed on DOME-C, Antarctica during austral summer 2023/2024. It was used to characterize the microphysical and optical properties of individual ice fog and diamond dust ice crystals having spherical equivalent diameters between 11 and 150 µm. These properties included particle concentration, size distribution and spatial light scattering patterns in the forward direction that allow the analysis of the particle sphericity (particle phase), shape and crystal complexity.
Diamond Dust Ice Fog Ice Particles Particle Size Distribution Particle Phase PPD-2K
PPD-2K Particle size distribution and particle phase from DOME-C, Antarctica
In Silico Characterization of the Sinoatrial Node (v1.0)
The data can be open by the software of Velox.
High-Entropy Sulfides as Highly Effective Catalysts for the Oxygen Evolution Reaction
Processed micro-tomographic scan of the ant Gnamptogenys moelleri, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Megalomyrmex milenae, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Wasmannia aeropunctata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Odontomachus sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Oecophylla longinoda fusca, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Crematogaster pygmaea, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains FAIR records which describe the tribological experiment Copper under Constant Normal Load #0040, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0040 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Tabletop Microplotter - Sample Holder (Vertical Printing Example)
Processed micro-tomographic scan of the ant Leptomyrmex darlingtoni, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Myrmecina sicula, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The data file contains the table of the infrared refractive indices for the β-NAD modification. It has three columns. First column: Wavelength in micrometer. Second column: Real refractive index (n). Third column: Imaginary refractive index (k). The data file can be opened in standard text editors or imported in spreadsheet programs like Microsoft Excel. The data are separated by tabs as a delimiter.
Data set for the research article "Particle shapes and infrared extinction spectra of nitric acid dihydrate crystals: Optical constants of the β-NAD modification" by Wagner et al. (2023) in Atmospheric Chemistry and Physics
Dieser Datensatz ist im Rahmen des mFUND-Projekte "Umwelt- und lärmabhängige Steuerung von Streckenbeeinflussungsanlagen – U-SARAH" entstanden. Auf Basis von tatsächlich gemessenen Verkehrsdaten an mehreren Messquerschnitten und den angezeigten Schaltbildern wurde eine mikroskopische Verkehrsflusssimulation mit PTV Vissim erstellt und kalibriert. In der Simulation wurde das auf der Strecke aktive Steuerungsprogramm der Streckenbeeinflussungsanlage nachgebildet. Es wurden auf Basis des Handbuchs für Emissionsfaktoren des Strassenverkehrs (HBEFA) verschiedene Emissionen (NOx, PM, CO2) berechnet. Diese wurden in eine im Projekt erweiterte Steuerungslogik integriert. Zwei verschiedene Implementierungen wurden in der Simulation überprüft und die Differenz der Emissionen berechnet.
* Zeitschritt: Zeit, seit Beginn der Simulation in Minuten. 30 Minuten Vorlaufzeit nicht enthalten. * Querschnitt: Anzeige- und Messquerschnitt der SBA * q: Verkehrsstärke in Fahrzeugen pro Minute * v: mittlere Geschwindigkeit in km/h * Pkw: Personenkraftwagen * Lnf: leichte Nutzfahrzeuge * Lkw: Lastkraftwagen * 1: konventionelle SARAH-Steuerung * 2: U-SARAH-Steuerung Variante 1 * 3: U-SARAH-Steuerung Variante 2 * ∆Nox: Prozentuale Veränderung der Stickoxidemissionen je Zeitschritt (Vergleich der konventionellen SARAH-Steuerung mit der jeweiligen Variante der U-SARAH-Steuerung) * ∆PM: Prozentuale Veränderung der Feinstaubemissionen je Minute (Vergleich der konventionellen SARAH-Steuerung mit der jeweiligen Variante der U-SARAH-Steuerung) * ∆CO2: Prozentuale Veränderung der Kohlendioxidemissioen je Zeitschritt (Vergleich der konventionellen SARAH-Steuerung mit der jeweiligen Variante der U-SARAH-Steuerung)
mFUND - U-SARAH - BAB 5 - berechnete Emissionen auf Basis einer Verkehrsflusssimulation
Die Datei im txt-Format enthält das Skript, geschrieben mit der Software "Arduino", welches die Funktionen des in dem zugehörigem Zeitschriftenaufsatz präsentierten automatischen Fluid-Probenehmers "GUARD" steuert. Durch gezielte Änderung der entscheidenden Parameter in diesem Skript können die Funktionen des Probenehmers in gewissen Grenzen auf die Anforderungen des jeweiligen Anwenderkreises angepasst werden.
Institut für Informationssicherheit und Verlässlichkeit
Results of inconsistency investigation with Daedalus GmbH.
# General Because the interviews were conducted with a German precision contract manufacturer, namely Daedalus GmbH from Karlsruhe, the interviews and interview results are in German. As this is our replication package, we decided to keep the raw data and thus the German artifacts. # Structure The reproduction material is structured in folders. ## workflows The workflows found in the contract manufacturing process at Daedalus GmbH, assessed with prior interviews. - big_picture_workflow: overview over the main process, referencing the other workflows as well as production and external services including manufacturing and quality assurance - quoting_workflow: overview over sales and quoting with quote creation and pricing - production_planning_workflow: overview over the production planning with production paths and lots, as well as needs and procurement - programming_workflow: overview over the programming workflow ## pre-study The pre-study we conducted to assess the quality of our interview questionnaires. ## interviews The interviews conducted. ## inconsistencies The inconsistencies found during the interviews, modeled with BPMN 2.0 and our proposed modeling method, escalation events. ## system usability scale The system usability scale we used to assess the usability of our modeling approach.
Interview Results, Production Workflows, Inconsistencies in Production Workflows
The computations are done in C++ using the Finite Element library deal.II; the plots then are generated with Matlab. To use this code, deal.II (release 9.2.0) has to be installed, cf. https://www.dealii.org/9.2.0 In order to run the program, open a terminal session in this folder and call "cmake -DDEAL_II_DIR=/path/to/deal.II .". Next, call "make release" to compile the files. Finally, run the program with "make run". This performs the computations and generates files in the "output" folder containing the results of the numerical experiments. After that, the plots can be generated with the Matlab Skript plot_figures.m. Note that running the C++ Code will take quite long, since it runs all calculations for all figures.
This code was used for the numerical experiments in the preprint (CRC Preprint 2020/20; URL: http://www.waves.kit.edu/downloads/CRC1173_Preprint_2020-20.pdf) and in the paper "An implicit-explicit time discretization scheme for second-order semilinear wave equations with application to dynamic boundary conditions" by M. Hochbruck and J. Leibold (cf. Section 4.5)
Numerical experiments to "An implicit-explicit time discretization scheme for second-order semilinear wave equations with application to dynamic boundary conditions"
Processed micro-tomographic scan of the ant Fisheropone ambigua, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tetramorium venator, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Strumigenys aff zeteki, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Stenamma heathi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The present work discusses the impact of the back coupling of the fiber orientation distribution on the base flow and on the fiber orientation itself during mold filling simulations. Flows through a channel and over a backward-facing step are investigated. Different closure approximations are considered for modeling the flow induced evolution of anisotropy. Results corresponding to the decoupled approach, in which the effect of fibers on local fluid properties is neglected, build the basis of comparison. The modeling is limited to a laminar, incompressible and isothermal flow of a fiber suspension consisting of rigid short fibers suspended in an isotropic Newtonian matrix fluid. A linear, anisotropic constitutive law is used in combination with a uniform fiber volume fraction of $10\,\%$ and an aspect ratio of $10$. To evaluate the impact of back coupling and of different closure methods in view of the manufactured solid composite the resulting anisotropic elastic properties are investigated based on the Mori-Tanaka method combined with an orientation average scheme. Relative to the range $[0,1]$ the pointwise difference in fiber orientation between the decoupled and the coupled approach is found to be $\pm 10\,\%$ in the channel and $\pm 30\,\%$ in the backward-facing step, respectively. The viscosity and the elasticity tensor show both significant flow induced anisotropies as well as a strong dependence on closure and coupling.
Die aktualisierten Daten finden Sie unter http://dx.doi.org/10.5445/IR/1000126534
Coupled Simulation of Flow-Induced Viscous and Elastic Anisotropy of Short-Fiber Reinforced Composites (Version 2)
Bei den Daten handelt es sich um eine 7z-komprimierte Datei der Eingabe- und Ausgabedateien von und für die Berechnung des wasserstoffbrückengebundenen Polymers, das für die Veröffentlichung in der Zeitschrift „Nanoscale“ (DOI: 10.1039/C9NR04152D und zusätzliche Daten, siehe unten) relevant ist.
The files are compressed/encrypted with 7zip.
The data is a 7z compressed file of the input and output fortran files of and for the calculation of the Hydrogen bonded polymer of relevance to the nanoscale publication (DOI: 10.1039/C9NR04152D and the Supplementary File, see below).
BTAH Hydrogen bonded polymer NEXAFS StoBe calculation
Processed micro-tomographic scan of the ant Pheidole scolioceps, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Octostruma iheringi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Buniapone amblyops, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains FAIR records which describe the tribological experiment Copper under Constant Normal Load #0026, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0026 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
# Micro Gas Turbine Data ## Overview These experimental data support the paper *"Knowledge-Guided Learning of Temporal Dynamics and its Application to Gas Turbines", presented at 15th ACM International Conference on Future Energy Systems (e-Energy '24), Singapore.* The data was collected from a commercial micro gas turbine designed for residential use, generating approximately 3 kW of electrical power. Its purpose was to model the turbine's behavior over time using machine learning techniques. ## Folder Structure - `data`: Contains 8 experimental time series data in CSV format, collected from the micro gas turbine. - `plots`: Includes results from experiments and the code used to generate plots from the paper. - `plots/create_plots.ipynb`: A Jupyter notebook containing code to create the plots. ## Time Series Data Each time series represents a separate experiment where the input control voltage was varied over time, and the resulting output electrical power of the micro gas turbine was measured. The data has a resolution of approximately 1 second and is structured in a CSV file with the following columns: - `time`: Time in seconds, denoted as $t$. - `input_voltage`: Input control voltage in volts, representing the control signal $x_t$. - `el_power`: electrical power in watts, representing the output signal $y_t$. ## Prediction Task The data was used for a time-series prediction task, aiming to predict `el_power` based on `input_voltage`. In the paper, the objective was to forecast the output $y_t$ given the control inputs $x_t, x_{t-1}, \dots, x_{t-N+1}$. ### Additional Information Requirements for running `create_plots.ipynb`: - Python 3.8.17 - Jupyter Notebook 6.5.4 - Pandas 1.2.2 - Matplotlib 3.5.2 - Seaborn 0.12.2 **When using this dataset, please cite the following paper:** *Pawel Bielski, Aleksandr Eismont, Jakob Bach, Florian Leiser, Dustin Kottonau, and Klemens Böhm. 2024. Knowledge-Guided Learning of Temporal Dynamics and its Application to Gas Turbines, 15th ACM International Conference on Future Energy Systems (e-Energy '24), Singapore.* For more details and the code used in the experiments, visit the GitHub [repository](https://github.com/Energy-Theory-Guided-Data-Science/Gas-Turbine).
These are experimental data for the paper: Pawel Bielski, Aleksandr Eismont, Jakob Bach, Florian Leiser, Dustin Kottonau, and Klemens Böhm. 2024. Knowledge-Guided Learning of Temporal Dynamics and its Application to Gas Turbines, 15th ACM International Conference on Future Energy Systems (e-Energy '24), Singapore The data consist of: 1. experimental time series data collected from a micro gas turbine 2. results from the experiments and the corresponding code to create plots used in the paper The corresponding GitHub repository: https://github.com/Energy-Theory-Guided-Data-Science/Gas-Turbine
Experimental Data for the Paper "Knowledge-Guided Learning of Temporal Dynamics and its Application to Gas Turbines"
Processed micro-tomographic scan of the ant Tetramorium immigrans, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Nylanderia okm06, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Rasopone ferruginea, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Meranoplus cf bicolor, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Video from GoPro images taken in limb-view during the flight of the GLORIA (Gimballed Limb Observer for Radiance Imaging of the Atmosphere) infrared spectrometer on a stratospheric balloon during the HEMERA measurement campaign from Timmins/Canada in August 2022. Update of https://doi.org/10.5445/IR/1000158826 (now: high-resolution version for download, no black bars on side). High resolution version of https://doi.org/10.5445/IR/1000159524
GLORIA@HEMERA large stratospheric balloon campaign Timmins/Canada August 2022-update: high-resolution version of https://doi.org/10.5445/IR/1000159524
Processed micro-tomographic scan of the ant Leptogenys okm01, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This data was generated using the software developed by (Stamer 2022), doi: 10.5281/zenodo.6468683
Experiment data for the application of actor critic reinforcement learning for dynamic pricing in production
Processed micro-tomographic scan of the ant Pogonomyrmex subdentatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Ponera scabra, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains FAIR records which describe the tribological experiment Copper under Constant Normal Load #0041, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0041 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
# Experimental Data for the Paper "Finding Optimal Diverse Feature Sets with Alternative Feature Selection" (Version 3) These are the experimental data for the third version (v3) of the paper> Bach, Jakob. "Finding Optimal Diverse Feature Sets with Alternative Feature Selection" published on [arXiv](https://arxiv.org/) in 2025. If we create further versions of this paper in the future, these experimental data may cover them as well. Check our [GitHub repository](https://github.com/Jakob-Bach/Alternative-Feature-Selection) for the code and instructions to reproduce the experiments. We obtained the experimental results on a server with an `AMD EPYC 7551` CPU (32 physical cores, base clock of 2.0 GHz) and 160 GB RAM. The operating system was `Ubuntu 20.04.6 LTS`. The Python version was `3.8`. With this configuration, running the experimental pipeline (`run_experiments.py`) took about 249 hours. The commit hash for the last run of the experimental pipeline (`run_experiments.py`) is [b4083afcc4](https://github.com/Jakob-Bach/Alternative-Feature-Selection/tree/b4083afcc41613912129e11b69580f11752ba060). The commit hash for the last run of the evaluation pipeline (`run_evaluation_arxiv.py`) is [7d027c2382](https://github.com/Jakob-Bach/Alternative-Feature-Selection/tree/7d027c23820fce067cce8953fdfdac719722949b). We also tagged both commits (`run-2024-09-28-arXiv-v3` and `evaluation-2024-12-08-arXiv-v3`). The experimental data are stored in three folders, i.e., `datasets/`, `plots/`, and `results/`. Further, the console output of `run_evaluation_arxiv.py` is stored in `Evaluation_console_output.txt` (manually copied from the console to a file). In the following, we describe the structure and content of each data file. ## `datasets/` These are the input data for the experimental pipeline `run_experiments.py`, i.e., the prediction datasets. The folder contains one overview file, one license file, and two files for each of the 30 datasets. The original datasets were downloaded from [PMLB](https://epistasislab.github.io/pmlb/) with the script `prepare_datasets.py`. Note that we do not own the copyright for these datasets. However, the [GitHub repository of PMLB](https://github.com/EpistasisLab/pmlb), which stores the original datasets, is MIT-licensed ((c) 2016 Epistasis Lab at UPenn). Thus, we include the file `LICENSE` from that repository. After downloading from `PMLB`, we split each dataset into the feature part (`_X.csv`) and the target part (`_y.csv`), which we save separately. Both file types are CSVs that only contain numeric values (categorical features are ordinally encoded in `PMLB`) except for the column names. There are no missing values. Each row corresponds to a data object (= instance, sample), and each column either corresponds to a feature (in `_X`) or the target (in `_y`). The first line in each `_X` file contains the names of the features as strings; for `_y` files, there is only one column, always named `target`. `_dataset_overview.csv` contains meta-data for the datasets, like the number of instances and features. ## `plots/` These are the output files of the evaluation pipeline `run_evaluation_arxiv.py`. We include these plots in our paper. ## `results/` These are the output data of the experimental pipeline in the form of CSVs, produced by the script `run_experiments.py`. `_results.csv` contains all results merged into one file and acts as input for the script `run_evaluation_arxiv.py`. The remaining files are subsets of the results, as the experimental pipeline parallelizes over 30 datasets, 5 cross-validation folds, and 5 feature-selection methods. Thus, there are `30 * 5 * 5 = 750` files containing subsets of the results. Each row in a result file corresponds to one feature set. One can identify individual search runs for alternatives with a combination of multiple columns, i.e.: - dataset `dataset_name` - cross-validation fold `split_idx` - feature-selection method `fs_name` - search method `search_name` - objective aggregation `objective_agg` - feature-set size `k` - number of alternatives `num_alternatives` - dissimilarity threshold `tau_abs` The remaining columns mostly represent evaluation metrics. In detail, all result files contain the following columns: - `selected_idxs` (list of non-negative ints, e.g., `[0, 4, 5, 6, 8]`): The indices (starting from 0) of the selected features (i.e., columns in the corresponding dataset). Might also be an empty list, i.e., `[]`, if no valid solution was found. In that case, the two `_objective` columns and the four `_mcc` columns contain a missing value (empty string). - `train_objective` (float in `[-1, 1]` + missing values): The training-set objective value of the feature set. Three feature-selection methods (*FCBF*, *MI*, *Model Importance*) have the range `[0, 1]`, while two methods (*mRMR*, *Greedy Wrapper*) have the range `[-1, 1]`. - `test_objective` (float in `[-1, 1]` + missing values): The test-set objective value of the feature set. - `optimization_time` (non-negative float): Time for alternative feature selection in seconds. The interpretation of this value depends on the search method for alternatives and the feature-selection method. (1a) In solver-based search for alternatives in combination with white-box feature-selection methods, this value corresponds to one solver call. (1b) In solver-based search for alternatives in combination with wrapper feature selection, we record the total runtime of the *Greedy Wrapper* algorithm, which calls the solver and trains prediction models multiple times. (2) In heuristic search for alternatives (algorithms *Greedy Balancing* and *Greedy Replacement*), we record the total runtime of the heuristic search algorithms. - `optimization_status` (int in `{0, 1, 2, 6}`): The status of the solver-based or heuristic search method for alternatives. For *Greedy Wrapper*, this is only the status of the last solver call (last iteration) and refers to optimizing similarity to the previous best solution (under swap constraints) rather than optimizing feature-set quality. - 0 = (proven as) optimal; cannot occur for heuristic search methods - 1 = feasible (valid solution, but might be suboptimal) - 2 = (proven as) infeasible; cannot occur for heuristic search methods - 6 = not solved (no valid solution found, but one might exist) - `decision_tree_train_mcc` (float in `[-1, 1]` + missing values): Training-set prediction performance (in terms of Matthews Correlation Coefficient) of a decision tree trained with the selected features. - `decision_tree_test_mcc` (float in `[-1, 1]` + missing values): Test-set prediction performance (in terms of Matthews Correlation Coefficient) of a decision tree trained with the selected features. - `random_forest_train_mcc` (float in `[-1, 1]` + missing values): Training-set prediction performance (in terms of Matthews Correlation Coefficient) of a random forest trained with the selected features. Not evaluated in the current version of our paper, as the observed trends are similar to those with decision trees. - `random_forest_test_mcc` (float in `[-1, 1]` + missing values): Test-set prediction performance (in terms of Matthews Correlation Coefficient) of a random forest trained with the selected features. Not evaluated in the current version of our paper, as the observed trends are similar to those with decision trees. - `k` (int in `{5, 10}`): The number of features to be selected. - `tau_abs` (int in `[1, 10]`): The dissimilarity threshold for alternatives, corresponding to the absolute number of features (`k * tau`) that have to differ between feature sets. - `num_alternatives` (int in `{1, 2, 3, 4, 5, 10}`): The number of desired alternative feature sets, not counting the original (zeroth) feature set. A number from `{1, 2, 3, 4, 5}` for solver-based simultaneous search and *Greedy Balancing*, but always `10` for solver-based sequential search and *Greedy Replacement*. - `objective_agg` (string, 2 different values): The name of the quality-aggregation function for alternatives (`min` or `sum`). Min-aggregation or sum-aggregation for solver-based simultaneous search but always sum-aggregation for the remaining search methods (where the value of this parameter does not matter for the search but needs to be specified for compatibility reasons). - `search_name` (string, 4 different values): The name of the search method for alternatives (`search_greedy_balancing`, `search_greedy_replacement`, `search_sequentially`, or `search_simultaneously`). *Greedy Balancing* and *Greedy Replacement* are (solver-free) heuristics and are only combined with two feature-selection methods (*MI* and *Model Importance*). The other two values denote solver-based search here (though in the paper, we also categorize optimization problems as sequential/simultaneous, no matter how they are solved) and are combined with all five feature-selection methods. - `fs_name` (string, 5 different values): The name of the feature-selection method (`FCBFSelector`, `MISelector`, `ModelImportanceSelector` (= *Model Gain* in the paper), `MRMRSelector`, or `GreedyWrapperSelector`). - `dataset_name` (string, 30 different values): The name of the `PMLB` dataset. - `n` (positive int): The number of features of the `PMLB` dataset. - `split_idx` (int in `[0, 4]`): The index of the cross-validation fold. - `wrapper_iters` (int in `[1, 1000]` + missing values): The number of iterations if *Greedy Wrapper* is used for feature selection, missing value (empty string) in the other cases. This column does not exist in result files that do not contain wrapper results. You can easily read in any of the result files with `pandas`: ```python import pandas as pd results = pd.read_csv('results/_results.csv') ```All result files are comma-separated and contain plain numbers and unquoted strings, apart from the column `selected_features` (which is quoted and represents lists of integers). The first line in each result file contains the column names. You can use the following code to make sure that the lists of feature indices are treated as lists (rather than plain strings): ```python import ast results['selected_idxs'] = results['selected_idxs'].apply(ast.literal_eval) ```
These are the experimental data for the third version (v3) of the paper> Bach, Jakob. "Finding Optimal Diverse Feature Sets with Alternative Feature Selection" This version of the paper was published on [arXiv](https://arxiv.org/) in 2025. You can find the paper [here](https://doi.org/10.48550/arXiv.2307.11607) and the code [here](https://github.com/jakob-bach/alternative-feature-selection). See the `README` for details. The datasets used in our study (which we also provide here) originate from [PMLB](https://epistasislab.github.io/pmlb/). The corresponding [GitHub repository](https://github.com/EpistasisLab/pmlb) is MIT-licensed ((c) 2016 Epistasis Lab at UPenn). Please see the file `LICENSE` in the folder `datasets/` for the license text.
Experimental Data for the Paper "Finding Optimal Diverse Feature Sets with Alternative Feature Selection" (Version 3)