# 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
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
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
Leibniz Institute for Farm Animal Biology (FBN), Wilhelm-Stahl-Allee 2, 18196 Dummerstorf, Germany
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
Simulated data for genomic evaluations in breeding populations
Leibniz Institute for Farm Animal Biology (FBN)
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"
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"
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)
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)
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
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)
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
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"
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
Martin Luther University Halle-Wittenberg
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
Schmidt, Friedrich Wilhelm | 1893–1945 | Theologe; Seelsorger; Religionslehrer; Hochschullehrer
Martin-Luther-Universität Halle-Wittenberg | Halle (Saale); Wittenberg
Universität Halle (Saale) | Halle (Saale)
Institut für Landesgeschichte (Sachsen-Anhalt)
Historisches Datenzentrum Sachsen-Anhalt
Veit, Johann | 1852–1917 | Gynäkologe; Männliche Hebamme
Vogel, Georg Johann Ludwig | 1742–1776 | Theologe; Hebraist
Vogel, Julius | 1814–1880 | Arzt; Pathologe; Hochschullehrer
Vetter, Walther | 1891–1967 | Musikwissenschaftler; Herausgeber; Dozent; Hochschullehrer; Militärmusiker
Velhagen, Karl | 1897–1990 | Augenarzt; Hochschullehrer
Voelcker, Friedrich | 1872–1955 | Arzt; Chirurg; Hochschullehrer
Thierfelder, Andreas | 1903–1986 | Klassischer Philologe; Hochschullehrer; Philologe
Tholuck, August | 1799–1877 | Evangelischer Theologe; Neutestamentler; Schriftsteller
Thieme, Paul | 1905–2001 | Indologe; Linguist; Religionswissenschaftler
Thomae, Johannes | 1840–1921 | Mathematiker
Threlfall, William | 1888–1949 | Mathematiker
Thunmann, Johann | 1746–1778 | Historiker; Philologe; Ethnologe; Bibliothekar
Thurnwald, Richard | 1869–1954 | Ethnologe; Soziologe; Jurist; Forschungsreisender
Tillich, Paul | 1886–1965 | Religionsphilosoph; Evangelischer Theologe; Philosoph; Vikar; Militärgeistlicher; Hochschullehrer
Trapp, Ernst Christian | 1745–1818 | Schriftsteller; Pädagoge; Lehrer; Schulleiter; Philanthrop
Trautmann, Walter | 1906–1983 | Journalist; Diplomkaufmann
Tribbechow, Johannes | 1677–1712 | Evangelischer Theologe; Hochschullehrer; Pfarrer; Hofprediger; Kirchenlieddichter; Theologe
Thomasius, Christian | 1655–1728 | Jurist; Philosoph; Hochschullehrer; Schriftsteller; Selbstverleger
Thorbecke, Heinrich | 1837–1890 | Orientalist; Arabist
Thulin, Oskar | 1898–1971 | Kunsthistoriker; Theologe
Tieftrunk, Johann Heinrich | 1759–1837 | Philosoph; Prediger; Hochschullehrer; Gymnasiallehrer; Rektor
Thümmig, Ludwig Philipp | 1697–1728 | Philosoph; Hochschullehrer
Tomasczewski, Egon | 1874– | Arzt; Hautarzt
Tornier, Erhard | 1894–1982 | Mathematiker; Hochschullehrer
Tschackert, Paul | 1848–1911 | Theologe; Historiker; Kirchenhistoriker
Unger, Rudolf | 1876–1942 | Literarhistoriker; Germanist; Hochschullehrer
Uxkull-Gyllenband, Woldemar | 1898–1939 | Historiker; Althistoriker; Hochschullehrer
Utitz, Emil | 1883–1956 | Philosoph; Psychologe; Hochschullehrer
Tschischwitz, Benno | 1828–1890 | Pädagoge; Philologe; Gymnasiallehrer; Schriftsteller; Oberlehrer
Tschermak-Seysenegg, Armin von | 1870–1952 | Tierarzt; Physiologe; Arzt
Tuhr, Andreas von | 1864–1925 | Jurist; Hochschullehrer
Tubandt, Carl | 1878–1942 | Chemiker; Hochschullehrer
Tänzer, Ernst | 1891–1933 | Zoologe; Mathematiker; Zoologe
Ule, Willi | 1861–1940 | Geograf; Limnologe; Kunstsammler; Hochschullehrer
Ulrici, Hermann | 1806–1883 | Philosoph; Philosoph
Ursin, Theodor Christoph | 1702–1748 | Philosoph; Arzt
Uphues, Goswin Karl | 1841–1915 | Philosoph
Vahlen, Ernst Heinrich | 1865–1941 | Arzt; Physiologe; Pharmakologe; Hochschullehrer
Vaihinger, Hans | 1852–1933 | Philosoph; Pädagoge; Hochschullehrer
Vater, Johann Severin | 1771–1826 | Linguist; Evangelischer Theologe; Hochschullehrer
Valentiner, Siegfried | 1876–1971 | Physiker; Mathematiker
Taschenberg, Ernst Ludwig | 1818–1898 | Zoologe
Taschenberg, Otto | 1854–1922 | Zoologe; Ornithologe; Sachverständiger; Hochschullehrer
Troll, Wilhelm | 1897–1978 | Botaniker; Biologe; Hochschullehrer
Trillhaas, Wolfgang | 1903–1995 | Theologe; Pfarrer
Volkmann, Alfred Wilhelm | 1801–1877 | Arzt; Physiologe
Vorkastner, Willy | 1878–1931 | Psychiater; Arzt; Rechtsmediziner; Gefängnisarzt; Hochschullehrer
Voretzsch, Karl | 1867–1947 | Romanist; Philologe; Oberleutnant; Regierungsrat
Vries, Hugo de | 1848–1935 | Botaniker; Physiologe; Genetiker
Waentig, Heinrich | 1870–1943 | Volkswirt; Hochschullehrer; Politiker; Innenminister
Wackernagel, Martin | 1881–1962 | Kunsthistoriker; Hochschullehrer
Waetzoldt, Wilhelm | 1880–1945 | Kunsthistoriker; Bibliothekar; Generaldirektor; Hochschullehrer
Wagner, Albrecht | 1850–1909 | Anglist; Literarhistoriker; Germanist
Wahl, Samuel Friedrich Günther | 1760–1834 | Orientalist; Übersetzer
Walther, Johannes | 1860–1937 | Geologe; Paläontologe; Biologe; Hochschullehrer
Wangerin, Albert | 1844–1933 | Mathematiker; Oberlehrer; Lehrer; Hochschullehrer
Voigt, Ehrhard | 1905–2004 | Geologe; Paläontologe
Voigt, H. G. | 1860–1933 | Kirchenhistoriker; Evangelischer Theologe; Historiker; Hochschullehrer
Voigtel, Traugott Gotthold | 1766–1843 | Genealoge; Historiker; Philosoph; Germanist; Gymnasiallehrer; Hochschullehrer; Bibliothekar
Volhard, Franz | 1872–1950 | Arzt; Internist; Pathologe; Hochschullehrer
Volhard, Jakob | 1834–1910 | Chemiker; Arzt; Naturwissenschaftler
Volkmann-Leander, Richard von | 1830–1889 | Schriftsteller; Lyriker; Erzähler; Chirurg; Hochschullehrer
Volkmann, Johannes | 1889–1982 | Chirurg
Vorländer, Daniel | 1867–1941 | Chemiker
Voss, Christian Daniel | 1761–1821 | Philologe; Historiker; Lehrer; Schriftsteller
Voss, Hermann | 1894–1987 | Anatom; Arzt
Völker, Walther | 1896–1988 | Evangelischer Theologe; Kirchenhistoriker; Hochschullehrer
Wagner, Kurt | 1890–1973 | Germanist; Volkskundler; Hochschullehrer
Wagnitz, Heinrich Balthasar | 1755–1838 | Evangelischer Theologe; Pfarrer; Superintendent; Konsistorialrat
Wagner, Wilhelm | 1899–1976 | Arzt; Chirurg
Walcher, Kurt | 1891–1973 | Rechtsmediziner; Arzt; Militärarzt; Pathologe; Hochschullehrer
Walter, Heinrich | 1864–1907 | Geologe; Hochschullehrer
Weber, Andreas | 1718–1781 | Philologe; Theologe; Dozent; Freimaurer
Warneck, Gustav | 1834–1910 | Theologe; Evangelischer Theologe
Weber, Carl | 1858–1935 | Gymnasiallehrer; Romanist
Weber, Hans | 1892–1965 | Geologe; Gymnasiallehrer; Studienrat; Hochschullehrer; Schriftsteller
Weber, Christian | 1728–1762 | Philosoph
Weber, Hans Emil | 1882–1950 | Evangelischer Theologe; Theologe; Hochschullehrer
Weber, Rudolf | 1894– | Hochschullehrer; Zahnarzt
Weber, Wilhelm | 1882–1948 | Althistoriker; Historiker; Hochschullehrer; Gymnasiallehrer
Wechßler, Eduard | 1869–1949 | Romanist; Philologe
Weege, Fritz | 1880–1945 | Archäologe; Hochschullehrer
Wehrn, Christian Wilhelm | 1746–1815 | Philosoph
Wegner, Arthur O. Rudolf | 1900–1989 | Jurist; Hochschullehrer
Weidemann, Johannes | 1897–1954 | Oberbürgermeister; Honorarprofessor; Jurist; Nationalsozialist
Wehrung, Georg | 1880–1959 | Theologe; Hochschullehrer; Pfarrer
Weigelt, Johannes | 1890–1948 | Geologe; Paläontologe; Museumsdirektor; Hochschullehrer
Weil, Arthur | 1887–1969 | Arzt; Tierarzt; Neuropathologe; Physiologe; Endokrinologe; Sexualwissenschaftler; Hochschullehrer
Weinreich, Otto | 1886–1972 | Philologe; Klassischer Philologe; Religionswissenschaftler
Weinhold, Karl August | 1782–1829 | Arzt
Weisbach, Walter | 1889–1962 | Hochschullehrer; Arzt; Militärarzt
Welcker, Hermann | 1822–1897 | Anatom; Hochschullehrer; Anthropologe; Arzt
Weitz, Ernst | 1883–1954 | Chemiker; Hochschullehrer
Wellhausen, Julius | 1844–1918 | Orientalist; Theologe; Philologe; Historiker
Wellek, Albert | 1904–1972 | Psychologe; Philosoph; Hochschullehrer; Lehrer
Westphal, Ernst Christian | 1737–1792 | Jurist
Wetzel, Georg | 1871–1951 | Arzt; Anatom; Hochschullehrer
Werminghoff, Albert | 1869–1923 | Historiker; Kirchenhistoriker; Hochschullehrer
Wernicke, Carl | 1848–1905 | Psychiater; Neurologe
Wernicke, Konrad | 1862–1900 | Archäologe; Klassischer Philologe; Dozent
Wertheimer, Ernst | 1893–1978 | Physiologe; Arzt; Militärarzt; Hochschullehrer
Zobel, Hans-Jürgen | 1928–2000 | Evangelischer Theologe; Hochschullehrer; Abgeordneter; Politiker; Präses
Zimmermann, Liborius | 1702–1734 | Evangelischer Theologe; Hofprediger; Konsistorialrat; Lehrer
Zitelmann, Ernst | 1852–1923 | Jurist; Schriftsteller
Polenske, Karl | 1881–1949 | Hochschullehrer; Jurist; Schriftsteller
Semler, Johann Salomo | 1725–1791 | Evangelischer Theologe; Alchemist; Schriftsteller; Philologe
Finck, Otto | 1895–1992 | Pfarrer; Evangelischer Theologe
Paul Beckus (Digitalisate), Archivbestände des angegebenen Archives
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.
Wussow, Werner | 1903–1969 | Agrarwissenschaftler
Wätjen, Julius | 1883–1963 | Arzt; Pathologe; Militärarzt; Hochschullehrer
Wöhlbier, Werner | 1899–1984 | Agrarwissenschaftler; Chemiker; Hochschullehrer
Wüst, Albert | 1840–1901 | Agrarwissenschaftler
Wüst, Ewald | 1875–1934 | Geologe; Paläontologe
Zachariae, Theodor | 1851–1934 | Indologe; Philologe; Hochschullehrer
Zacher, Julius | 1816–1887 | Germanist; Bibliothekar
Zacher, Konrad | 1851–1907 | Klassischer Philologe
Zahn, Gustav Wilhelm von | 1871–1946 | Geograf; Hochschullehrer
Zastrau, Alfred | 1906–1981 | Philologe; Anthropologe; Theaterwissenschaftler
Ziehen, Theodor | 1862–1950 | Psychologe; Neurologe; Arzt; Psychiater; Philosoph; Hochschullehrer
Ziegler, Karl | 1898–1973 | Chemiker; Hochschullehrer; Kunstsammler
Ziemke, Ernst | 1867–1935 | Arzt; Rechtsmediziner
Zimmern, Heinrich | 1862–1931 | Orientalist; Klassischer Philologe; Linguist; Semitist
Zschackwitz, Johann Ehrenfried | 1669–1744 | Jurist; Publizist
Wichmann, Ottomar | 1890–1973 | Philosoph; Pädagoge; Lehrer; Schriftsteller; Hochschullehrer
Wicht, Edo von | 1909–1985 | Schriftsteller; Arzt
Willige, Hans | 1877–1963 | Arzt; Psychiater; Hochschullehrer
Windelband, Wolfgang | 1886–1945 | Historiker; Ministerialbeamter; Ministerialrat
Windisch, Hans | 1881–1935 | Evangelischer Theologe; Hochschullehrer
Wissowa, Georg | 1859–1931 | Klassischer Philologe; Hochschullehrer; Regierungsrat
Wissmann, Wilhelm | 1899–1966 | Philologe; Linguist
Woermann, Emil | 1899–1980 | Agrarwissenschaftler; Hochschullehrer
Wolff, Hellmuth | 1876–1961 | Wirtschaftswissenschaftler; Statistiker; Kurator <Museumskunde>; Hochschullehrer
Wolff, Ferdinand von | 1874–1952 | Mineraloge; Geologe; Hochschullehrer
Wollenberg, Robert | 1862–1942 | Arzt; Psychiater
Wiedenfeld, Kurt | 1871–1955 | Diplomat; Geograf; Jurist; Beisitzer; Redakteur; Regierungsrat; Hochschullehrer; Volkswirt; Wirtschaftswissenschaftler
Wiedeburg, Friedrich | 1708–1758 | Historiker; Philosoph
Wiese, Berthold | 1859–1932 | Pädagoge; Romanist; Gymnasiallehrer; Hochschullehrer; Lehrer
Wigand, Albert | 1882–1932 | Physiker; Meteorologe; Hochschullehrer
Winkler, W. F. | 1890–1972 | Arzt; Direktor
Winter, Eduard | 1896–1982 | Historiker; Katholischer Theologe; Hochschullehrer
Witte, Karl | 1800–1883 | Jurist; Philologe; Übersetzer; Literaturwissenschaftler
Witte, Arthur | 1901–1945 | Philologe; Ethnologe; Germanist
Wohlfahrt, Johann August | 1711–1784 | Arzt; Anatom; Hochschullehrer
Wohltmann, Ferdinand | 1857–1919 | Agrarwissenschaftler; Hochschullehrer
Wolf, Friedrich August | 1759–1824 | Klassischer Philologe; Klassischer Philologe; Altertumswissenschaftler; Hochschullehrer; Philologe
Wolf, Ernst | 1902–1971 | Evangelischer Theologe; Kirchenhistoriker; Hochschullehrer
Wolf, Jacob Gabriel | 1684–1754 | Jurist
Wolters, Albrecht | 1823–1878 | Evangelischer Theologe; Historiker
Woltaer, Johann Christian | 1744–1815 | Jurist
Wiener, Hermann | 1857–1939 | Mathematiker
Wilcken, Ulrich | 1862–1944 | Althistoriker; Historiker; Papyrologe; Geheimer Rat
Wiltheiss, Ernst Eduard | 1855–1900 | Mathematiker
Winternitz, Hugo | 1868–1934 | Internist; Physiologe; Arzt; Hochschullehrer
Wittsack, Richard | 1887–1952 | Linguist
Wolf, Karl Lothar | 1901–1969 | Chemiker
Wolff, Christian von | 1679–1754 | Philosoph; Jurist; Mathematiker; Physiker; Theologe; Hochschullehrer; Regierungsrat
Wolzendorff, Kurt | 1882–1921 | Jurist; Hochschullehrer
Woskin, Mojssej | 1884–1944 | Philologe; Hochschullehrer
Weyhe, Hans | 1879–1955 | Anglist; Philologe; Hochschullehrer
Berndt, Georg | 1880–1972 | Physiker; Hochschullehrer
Gerike, Peter | 1693–1750 | Anatom; Arzt; Chemiker; Hochschullehrer; Leibarzt; Hofrat; Selbstverleger
LASH Abt. 268 Nr. 457: Manual-Protokolle
Pott, Richard | 1844–1903 | Arzt; Kinderarzt
Schwarz, Hermann | 1864–1951 | Philosoph; Schriftsteller; Nationalsozialist
Buchholz, Hugo Ferdinand | 1866–1921 | Astronom; Mathematiker
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.
Schardt, Alois | 1889–1955 | Kunsthistoriker; Hochschullehrer
Benz, Ernst | 1907–1978 | Evangelischer Theologe; Kirchenhistoriker; Militärgeistlicher
Maass, Johann Gebhard Ehrenreich | 1766–1823 | Philosoph; Mathematiker; Liederdichter; Freimaurer
Eickschen, Karl | 1901–1958 | Geschäftsführer; Betriebswirt; Landwirt; Lehrer; Hochschullehrer
Niemeyer, Theodor | 1857–1939 | Jurist; Hochschullehrer
Schöne, Richard | 1840–1922 | Archäologe; Philologe
LASH Abt. 268 Nr. 420: Protokollum rev. capituli Lubicensis
Heidenhain, Rudolf | 1834–1897 | Arzt; Physiologe
Eisler, Paul | 1862–1935 | Arzt; Anatom; Prosektor; Hochschullehrer
Nürnberger, Ludwig | 1884–1959 | Gynäkologe; Militärarzt; Hochschullehrer
David, Oskar | 1880–1942 | Arzt; Internist; Radiologe; Militärarzt; Hochschullehrer
Schürmann, Walter | 1880–1974 | Bakteriologe; Arzt; Dozent
Rümker, Kurt von | 1859–1940 | Agrarwissenschaftler; Landwirt
Fikentscher, Richard | 1903–1993 | Arzt; Gynäkologe
Brandt, Heinrich | 1886–1954 | Mathematiker; Hochschullehrer
Rietschel, Siegfried | 1871–1912 | Jurist
Fischer, August | 1865–1949 | Orientalist; Hochschullehrer; Arabist; Philologe
LASA, A 14, Nr. 308: Beantwortung verschiedener, die Erbpräbende angehender Fragen
Löwe, Hans | 1903–1989 | Landwirt; Tierzüchter
Mulert, Hermann | 1879–1950 | Evangelischer Theologe
Klotz, Christian Adolf | 1738–1771 | Philologe; Philosoph; Bibliothekar; Schriftsteller; Satiriker
Ackermann, Theodor | 1825–1896 | Arzt; Pathologe; Hochschullehrer
Reitzenstein, Erich | 1897–1976 | Klassischer Philologe; Hochschullehrer
Behmann, Heinrich | 1891–1970 | Mathematiker; Logiker; Hochschullehrer
Bilfinger, Carl | 1879–1958 | Staatsrechtslehrer; Hochschullehrer; Richter
Riehm, Eduard Karl August | 1830–1888 | Evangelischer Theologe
Knapp, Johann Georg | 1705–1771 | Evangelischer Theologe; Pädagoge
LASH Abt. 268 Nr. 433: Protokollum rev. capituli Lubicensis: Band 30
Grell, Heinrich | 1903–1974 | Mathematiker
Scherer, Alexander Nicolaus | 1771–1824 | Physiker; Chemiker; Apotheker; Staatsrat
Reil, Johann Christian | 1759–1813 | Arzt; Internist; Anatom; Autor; Arzt
Moldenhauer, Gerhard | 1900–1980 | Romanist; Historiker; Philologe; Mediävist; Hochschullehrer
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
Buddeus, Johann Franz | 1667–1729 | Evangelischer Theologe; Philosoph; Orientalist; Hochschullehrer; Gymnasiallehrer
Küstner, Otto | 1849–1931 | Gynäkologe; Hochschullehrer; Arzt
Reuter, Johann Hartwig | 1725–1773 | Jurist; Hochschullehrer
Clauswitz, Benedikt Gottlieb | 1692–1749 | Theologe; Religionswissenschaftler; Diakon; Pfarrer
Fück, Johann | 1894–1974 | Philologe; Orientalist
Isenbeck, Karl | 1904–1945 | Botaniker; Pflanzenbau
Krukenberg, Peter | 1787–1865 | Arzt; Pathologe
Mitscherlich, Waldemar | 1877–1961 | Volkswirt; Staatswissenschaftler; Soziologe
Pott, August Friedrich | 1802–1887 | Philologe; Evangelischer Theologe
LASA, A 14, Nr. 288: Vom Hofe erforderte Berichte, wie viel pro honorario für die Präbenden bezahlt werde
Ludovici, Jacob Friedrich | 1671–1723 | Jurist; Hofrat; Geheimer Rat
Fuchs, Walter Heinrich | 1904–1981 | Agrarwissenschaftler
Specht, Franz | 1888–1949 | Linguist; Lehrer; Studienrat; Hochschullehrer
Gerstenberg, Kurt | 1886–1968 | Kunsthistoriker; Hochschullehrer
Freytag, Carl | 1831–1908 | Agrarwissenschaftler; Zoologe; Hochschullehrer
Girard, Heinrich | 1814–1878 | Mineraloge; Geologe
LASA, A 14, Nr. 249: Die dem Herzog Philipp Ernst konferierte Gräflich Lippische Präbende und deren Zession an den Herrn von Planitz
Grunke, Wilhelm | 1895–1975 | Arzt; Internist; Hochschullehrer
Rooks, Gerhard | 1901–1975 | Arzt; Hochschullehrer
Juncker, Johann | 1679–1759 | Arzt; Chemiker; Hochschullehrer; Hofrat
Bergener, Johann Carl Erdmann | 1770–1813 | Arzt
Dittenberger, Wilhelm | 1840–1906 | Klassischer Philologe
Meinert, Friedrich | 1757–1828 | Mathematiker; Astronom; Techniker; Philosoph; Schriftsteller; Leutnant; Militärwissenschaftler
Meissner, Bruno | 1868–1947 | Orientalist
LASA, A 14, Nr. 295: Des Herrn von Rochow Dispensation vom Klosterjahr
Nebelthau, Johann Eberhard | 1864–1914 | Arzt; Internist
Niemeyer, August Hermann | 1754–1828 | Evangelischer Theologe; Pädagoge; Hochschullehrer; Direktor; Schriftsteller; Kirchenlieddichter; Librettist; Selbstverleger
Delling, Gerhard | 1905–1986 | Theologe; Hochschullehrer
Schultze, Friedrich Emil Otto | 1872–1950 | Pädagoge; Psychologe; Philosoph
Brauer, Rudolf | 1907–2006 | Zahnarzt; Ingenieur
Goltz, Friedrich | 1834–1902 | Physiologe
LASH Abt. 268 Nr. 26: Präsenz der Domherren zu Lübeck
Kramer, Gustav | 1806–1888 | Schulleiter; Pädagoge; Klassischer Philologe; Theologe
Gren, Friedrich Albrecht Carl | 1760–1798 | Arzt; Physiker; Chemiker; Pharmakologe; Apotheker
Leuze, Oscar | 1874–1934 | Althistoriker; Lehrer; Evangelischer Theologe; Hochschullehrer
LASH Abt. 268 Nr. 471: Manual-Protokolle
Bessel-Hagen, Erich | 1898–1946 | Mathematiker
LASA, A 14, Nr. 270: Vom Landesherrn den Domkapitularen erteilte Dispensationen von Beiwohnung der drei Remigiikapitel und der gewöhnlichen Residenz
Noll, Fritz | 1858–1908 | Botaniker; Schriftsteller
Alverdes, Kurt | 1896–1959 | Arzt; Militärarzt; Hochschullehrer
Roux, Wilhelm | 1850–1924 | Biologe; Naturphilosoph; Anatom
Bleier, Hubert | 1896–1979 | Diplomlandwirt; Genetiker; Pflanzenzüchter
Anton, Paul | 1661–1730 | Evangelischer Theologe; Pietist; Pfarrer; Hofprediger; Superintendent; Hochschullehrer; Prorektor
LASA, A 14, Nr. 261: Dem Herrn von Ende nach Absterben des Subseniors von Neindorf konferierte Präbende
Steinhart, Karl Heinrich August | 1801–1872 | Philologe; Philosoph; Pädagoge; Politiker
Michel, Otto | 1903–1993 | Judaist; Neutestamentler; Hochschullehrer; Evangelischer Theologe; Pfarrer
Mothes, Kurt | 1900–1983 | Biochemiker; Pflanzenphysiologe; Biologe; Apotheker; Hochschullehrer
Klügel, Georg Simon | 1739–1812 | Mathematiker; Physiker; Hochschullehrer
Hoffmann-Kutschke, Artur | 1882– | Schriftsteller
Schmeizel, Martin | 1679–1747 | Jurist; Historiker; Selbstverleger; Heraldiker
Cassebohm, Johann Friedrich | 1700–1743 | Arzt
Mertner, Edgar | 1907–1999 | Literaturwissenschaftler
Liepe, Wolfgang | 1888–1962 | Theaterwissenschaftler; Germanist; Dramaturg; Hochschullehrer
Kok, Friedrich | 1890–1952 | Arzt; Gynäkologe; Militärarzt; Hochschullehrer
Eckert-Möbius, Adolf | 1889–1976 | Arzt; Militärarzt; Hochschullehrer
Gallwitz, Hans | 1896–1958 | Geologe; Paläontologe
Siefert, Ernst | 1874–1940 | Arzt; Rechtsmediziner; Schiffsarzt; Militärarzt; Hochschullehrer
Jacobi, Justus Ludwig | 1815–1888 | Kirchenhistoriker; Evangelischer Theologe; Hochschullehrer
Bonnet, Hans | 1887–1972 | Ägyptologe; Hochschullehrer
Hertz, Friedrich | 1878–1964 | Soziologe; Historiker; Ministerialrat; Hochschullehrer
Schulz, August | 1862–1922 | Botaniker; Arzt; Hochschullehrer
Historische Filmaufnahme des Privatarchivs Hermann Klaetsch und Erna Theilig
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.
Sammlung Familie Hermann Klaetsch (1903-1965) und Erna Theilig (1905-1991)
Klaetsch, Hermann | 1903–1965 | Steuerberater
Ebschbach, Horst | 1924–1977 | Hochschullehrer; Dreher
Schlüter, Otto | 1872–1959 | Geograf; Hochschullehrer
Hitzig, Eduard | 1838–1907 | Arzt; Psychiater
LASH Abt. 268 Nr. 28: Absenz der Domherren zu Lübeck
Eiselen, Johann Friedrich Gottfried | 1785–1865 | Volkswirt; Hochschullehrer
Heim, Karl | 1874–1958 | Evangelischer Theologe; Hochschullehrer; Philosoph
LASH Abt. 268 Nr. 451: Protokollum rev. capituli Lubicensis: Band 48
Ewald, Albert Ludwig | 1832–1903 | Historiker; Forstwissenschaftler
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. 416: Protokollum rev. capituli Lubicensis
Lueken, Bernd | 1908–1978 | Physiologe; Arzt
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.
Müller, Julius August | 1889– | Apotheker; Lebensmittelchemiker; Dozent
LASH Abt. 268 Nr. 18: Exspektanzen und Provisionen auf Kanonikate
Juncker, Friedrich Christian | 1730–1770 | Arzt
Meier, John | 1864–1953 | Volkskundler; Germanist; Mediävist
LASH Abt. 268 Nr. 434: Protokollum rev. capituli Lubicensis: Band 31
Doerne, Martin | 1900–1970 | Evangelischer Theologe; Hochschullehrer; Pfarrer
Pfeiffer, Friedrich | 1883–1961 | Mathematiker
Levy, Hermann | 1881–1949 | Volkswirt; Schriftsteller; Staatswissenschaftler; Schriftsteller
Sauerwald, Franz | 1894–1979 | Chemiker; Hochschullehrer
Kathe, Johannes | 1880–1965 | Arzt; Amtsarzt
LASA, A 14, Nr. 282: Resignation der Majorpräbende des Obristen von Schlieben
Kuhn, Ernst | 1846–1920 | Indologe; Linguist; Philologe; Orientalist
Graßmann, Hermann | 1857–1922 | Mathematiker; Gymnasiallehrer
Menner, Erich | 1900–1966 | Biologe; Dozent
Rasch, Wolfdietrich | 1903–1986 | Philologe; Literaturwissenschaftler; Hochschullehrer
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
Hollmann, Georg | 1873–1946 | Theologe; Philosoph
Franzen, Adam Wilhelm | 1718–1766 | Historiker; Philosoph
Linnert, Gerhard | 1888–1948 | Gynäkologe; Militärarzt; Privatdozent
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
LASH Abt. 268, Nr. 431: Protokollum rev. capituli Lubicensis: Band 28
Heselhaus, Clemens | 1912–2000 | Germanist; Literaturwissenschaftler
Elliger, Walter | 1903–1985 | Kirchenhistoriker; Evangelischer Theologe; Hochschullehrer
LASH Abt. 268 Nr. 11: Rangordnung der Kanoniker zu Lübeck
LASA, A 14, Nr. 244: Präbende des Herrn Geheimen Rats von Vieregk
Kauffmann, Friedrich | 1863–1941 | Germanist; Philologe
Rosenberger, Otto August | 1800–1890 | Astronom; Mathematiker
Franz, Karl | 1870–1926 | Arzt; Gynäkologe; Redakteur
Kirsten, Ernst | 1911–1987 | Archäologe; Geograf; Althistoriker
Sowade, Johann | 1878–1944 | Hautarzt; Arzt; Militärarzt; Hochschullehrer
Schmalfuß, Karl | 1904–1976 | Biologe; Agrarwissenschaftler; Bodenkundler
Schmalz, Theodor von | 1760–1831 | Jurist
Bahrfeldt, Max von | 1856–1936 | Numismatiker; Offizier; Hochschullehrer
Flörcke, Johann Ernst von | 1695–1762 | Jurist; Hochschullehrer; Politiker; Hofrat; Regierungsrat; Geheimer Rat
Leser, Edmund | 1853–1916 | Arzt; Chirurg
LASH Abt. 260 Nr. 18: Wahl des Herzogs Christian August zum Koadjutor und künftigen Bischof im Hochstift Lübeck
LASH Abt. 268 Nr. 443: Protokollum rev. capituli Lubicensis: Band 40
Keyser, Paul | 1898–1960 | Pfarrer; Evangelischer Theologe
LASH Abt. 260 Nr. 45: Regierungswechsel im Bistum Lübeck
Carrach, Johann Philipp von | 1730–1769 | Jurist
LASA, A 13, Nr. 1134: Die in mense papali vakant gewordenen Präbenden bei dem Domstift zu Halberstadt
Koehler, Hermann Adolph | 1834–1879 | Arzt; Chemiker
Beyer, Justus Israel | 1696–1762 | Jurist; Philosoph
Sprengel, Matthias Christian | 1746–1803 | Historiker; Bibliothekar; Geograf; Indologe; Ethnologe; Philosoph; Polyhistor
LASH Abt. 268 Nr. 39: Domherrenverzeichnisse
Haym, Rudolf | 1821–1901 | Philosoph; Politiker; Literarhistoriker; Hochschullehrer; Publizist
Oeschey, Rudolf | 1879–1944 | Jurist; Hochschullehrer
Kromayer, Ernst | 1862–1933 | Arzt; Hautarzt; Hochschullehrer
Elze, Karl | 1821–1889 | Philologe; Anglist; Literarhistoriker
Gruber, Johann Daniel | 1688–1748 | Jurist; Hofrat; Bibliothekar; Historiker
LASA, A 14, Nr. 272: Präbende des Scholasters
Reinhard, Conrad Friedrich | 1692–1728 | Philosoph; Jurist
Siebert, Wolfgang | 1905–1959 | Jurist; Gerichtsassessor; Hochschullehrer
Palme, Franz | 1907–1960 | Arzt; Hochschullehrer
Frauendienst, Werner | 1901–1966 | Historiker; Hochschullehrer
Neumann, Ernst Richard | 1875–1955 | Mathematiker; Physiker
Schollmeyer, Friedrich | 1848–1914 | Jurist
Krueger, Felix | 1874–1948 | Psychologe; Philosoph
Siebeck, Hermann | 1842–1920 | Philosoph; Hochschullehrer
Dähne, August Ferdinand | 1807–1878 | Evangelischer Theologe; Philosoph
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
Michaelis, Christian Benedict | 1680–1764 | Orientalist; Evangelischer Theologe; Hochschullehrer; Bibliothekar
Serauky, Walter | 1903–1959 | Musikwissenschaftler; Hochschullehrer; Herausgeber
Bernstein, Felix | 1878–1956 | Mathematiker; Statistiker
Schneider, Johann Friedemann | 1669–1733 | Jurist; Philosoph; Hochschullehrer
LASH Abt. 268 Nr. 31: Abwesenheits-Anzeigen von Domherren zu Lübeck
LASH Abt. 260 Nr. 46: Possession und Huldigung des Bischofs Christian August im Bistum Lübeck
Hett, Johannes | 1894–1986 | Arzt; Histologe; Hochschullehrer
Hanson, Horst | 1911–1978 | Biochemiker; Hochschullehrer
Schütz, Christian Gottfried | 1747–1832 | Philologe; Literarhistoriker; Hochschullehrer
Sellius, Godefroy | 1704–1767 | Jurist; Hofrat; Naturwissenschaftler; Übersetzer
Collitz, Hermann | 1855–1935 | Linguist; Germanist; Philologe
Nitschke, Alfred | 1898–1960 | Kinderarzt; Arzt; Hochschullehrer
Franke, Walther | 1834–1903 | Arzt; Freimaurer
Siemens, Wilhelm | 1897–1959 | Arzt; Chirurg
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
Karsten, Wenceslaus Johann Gustav | 1732–1787 | Mathematiker; Hochschullehrer; Physiker
Schneider, Ferdinand Josef | 1879–1954 | Germanist; Literarhistoriker; Philologe; Hochschullehrer
LASA, A 14, Nr. 126: Die dem König dem [so!] Westphalen wegen der von Preußen zugesicherten Fortdauer des Domkapitels gemachte Vorstellung
Brunnenmeister, Emil | 1854–1896 | Jurist
Beck, Jacob Sigismund | 1761–1840 | Philosoph; Hochschullehrer
LASH Abt. 268 Nr. 414: Protokollum rev. capituli Lubicensis
LASH Abt. 260 Nr. 2164: Regierung Eutin: Vicaria 17 in Summo
Heinemann, Lothar von | 1859–1901 | Historiker; Hochschullehrer
Forster, Johann Reinhold | 1729–1798 | Naturwissenschaftler; Forschungsreisender; Theologe; Pfarrer; Hochschullehrer
Liszt, Franz von | 1851–1919 | Jurist; Hochschullehrer; Politiker; Ritter
Haloun, Gustav | 1898–1951 | Sinologe; Hochschullehrer
Pose, Heinz | 1905–1975 | Physiker; Atomphysiker; Hochschullehrer
Hinrichs, Carl | 1900–1962 | Historiker; Archivar; Historiker
LASH Abt. 268, Nr. 429: Protokollum rev. capituli Lubicensis: Band 26
Derlitzki, Georg | 1889–1958 | Agrarwissenschaftler
Rosenfeld, Ernst Heinrich | 1869–1952 | Jurist; Hochschullehrer
LASH Abt. 268 Nr. 425: Protokollum rev. capituli Lubicensis Band 22
Dernburg, Heinrich | 1829–1907 | Jurist; Politiker; Abgeordneter
Calker, Fritz van | 1864–1957 | Jurist; Politiker
Japha, Arnold | 1877–1943 | Arzt; Anthropologe; Zoologe; Militärarzt; Schiffsarzt; Hochschullehrer
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.
Alberti, Michael | 1682–1757 | Arzt; Philosoph; Hochschullehrer; Physiker; Schriftsteller
Langheineken, Paul | 1865–1930 | Jurist; Hochschullehrer
Schwarz, Georg | 1896–1979 | Agrarwissenschaftler; Hochschullehrer
Drigalski, Wolf von | 1907–1943 | Arzt; Internist; Dozent
Hoffmann, Reinhold | 1885– | Agrarwissenschaftler
Segner, Johann Andreas von | 1704–1777 | Naturwissenschaftler; Mathematiker; Physiker; Astronom; Erfinder; Geheimer Rat; Arzt
LASA, A 14, Nr. 290: Elektenpräbende des Herrn von Kleist und dessen Aszension inter minores vor den Grafen von Wartenberg
Stauffer, Ethelbert | 1902–1979 | Neutestamentler; Theologe; Numismatiker; Vikar; Hochschullehrer
Güte, Heinrich Ernst | 1754–1805 | Evangelischer Theologe; Hochschullehrer; Pfarrer; Lehrer
Bertram, Philipp Ernst | 1726–1777 | Jurist; Historiker
Hülse, Walter | 1887– | Arzt; Hochschullehrer
Hollander, Heinrich von | 1853–1920 | Jurist; Hochschullehrer; Rechtsanwalt
Blume, Wilhelm von | 1867–1927 | Jurist; Abgeordneter
Fritsch, Heinrich | 1844–1915 | Gynäkologe; Arzt
Mering, Josef | 1849–1908 | Arzt; Physiologe; Pharmakologe; Internist
Hanle, Wilhelm | 1901–1993 | Physiker; Hochschullehrer
Schomerus, Hilko Wiardo | 1879–1945 | Evangelischer Theologe; Pfarrer; Missionar; Hochschullehrer
Peyer, Willy | 1882–1948 | Apotheker; Chemiker; Pharmazeut; Dozent
Kettler, Louis-Heinz | 1910–1976 | Pathologe; Arzt; Hochschullehrer
Beer, Georg | 1865–1946 | Evangelischer Theologe; Orientalist; Hochschullehrer
LASH, Abt. 260, Nr. 19: Koadjutoriesachen im Hochstift Lübeck
Steffens, Henrik | 1773–1845 | Naturwissenschaftler; Philosoph; Schriftsteller; Hochschullehrer
Gerlach, Werner | 1891–1963 | Pathologe; Arzt; Hochschullehrer; Militärarzt; Diplomat
Geisler, Walter | 1891–1945 | Geograf; Kartograf; Hochschullehrer; Raumplaner
LASA, A 14, Nr. 296: Dem Herrn von Spiegel zu Pickelsheim vom König erteiltes Benificium a latere
Loder, Justus Christian von | 1753–1832 | Arzt
Bremer, Otto | 1862–1936 | Germanist; Dialektologe; Hochschullehrer; Philologe; Germanist; Literaturwissenschaftler
Loening, Edgar | 1843–1919 | Jurist; Rektor; Hochschullehrer; Hochschullehrer
Martiny, Benno | 1871–1953 | Maschinenbauingenieur; Hochschullehrer
Knorre, Ernst Friedrich | 1728–1771 | Jurist
Marschall von Bieberstein, Fritz | 1883–1939 | Jurist
Hippel, Arthur von | 1841–1916 | Arzt; Augenarzt
Förster, Theodor | 1839–1898 | Pfarrer; Superintendent; Evangelischer Theologe
Schenck, Adolf | 1857–1936 | Geograf; Mineraloge; Botaniker; Forschungsreisender; Hochschullehrer
Schulz, Arthur | 1867– | Rechtsmediziner; Arzt; Hochschullehrer
LASH, Abt. 268, Nr. 426: Protokollum rev. capituli Lubicensis: Band 23
Burgeff, Hans | 1883–1976 | Botaniker; Hochschullehrer
Fehling, Hermann | 1847–1925 | Gynäkologe
Förster, Max | 1869–1954 | Philologe; Anglist
LASA, A 14, Nr. 300: Resignation der Minorpräbende des Herrn von Fürstenberg, ingleichen das Verbot der Resignationen
Ellenberger, Friedrich Wilhelm | 1729–1768 | Philosoph
Fleischer, Johann Lorenz | 1691–1749 | Jurist
Heinroth, Otto | 1892–1961 | Arzt; Zahnarzt; Autor; Hochschullehrer
Kirchner, Wilhelm | 1848–1921 | Agrarwissenschaftler; Hochschullehrer
LASA, U 5, XVI Nr. 41: (Domkapitel zu Halberstadt)
Meier, Georg Friedrich | 1718–1777 | Philosoph; Mathematiker
Leo, Heinrich | 1799–1878 | Historiker; Politiker; Publizist; Germanist; Hochschullehrer
Fingerling, Gustav | 1867–1944 | Agrarwissenschaftler; Chemiker; Hochschullehrer
Gebhardt, Walter | 1870–1918 | Arzt; Anatom
Fries, Wilhelm | 1845–1928 | Pädagoge; Latinist; Hochschullehrer; Schulleiter; Gymnasiallehrer
Behrend, Paul Gerhard | 1853–1905 | Agrikulturchemiker
Holtzmann, Robert | 1873–1946 | Historiker; Hochschullehrer
Brachmann, Wilhelm | 1900–1989 | Evangelischer Theologe; Religionswissenschaftler; Pfarrer; Nationalsozialist
Grabein, Max | 1872–1920 | Volkswirt; Direktor
Ficker, Johannes | 1861–1944 | Evangelischer Theologe; Kirchenhistoriker; Archäologe; Prediger; Hochschullehrer
Carrach, Johann Tobias | 1702–1775 | Jurist
Hoffmann, Erich | 1868–1959 | Arzt; Hautarzt
Kuckuck, Hermann | 1903–1992 | Pflanzenzüchter; Agrarwissenschaftler
Harnack, Erich | 1852–1915 | Arzt; Pharmakologe; Chemiker
Cluß, Adolf | 1862–1930 | Chemiker; Agrikulturchemiker; Hochschullehrer
LASA, A 14, Nr. 283: Zwischen dem Domdechanten von Busch und Senior von Leerodt entstandene Streitigkeit wegen der Senioratrevenuen
Simon, Johann Georg | 1636–1696 | Jurist
Blass, Friedrich | 1843–1907 | Klassischer Philologe; Pädagoge; Lehrer; Oberlehrer
Kähler, Martin | 1835–1912 | Evangelischer Theologe; Hochschullehrer; Diakon
Küstner, Heinz | 1897–1963 | Arzt; Gynäkologe; Hochschullehrer; Militärarzt
Hoffbauer, Johann Christoph | 1766–1827 | Philosoph; Jurist
Meier, Ernst von | 1832–1911 | Jurist; Kurator <Hochschule>
Kranz, Walther | 1884–1960 | Klassischer Philologe; Philosoph; Lehrer
Fischer, Friedrich Christoph Jonathan | 1750–1797 | Staatsrechtslehrer; Jurist; Publizist; Historiker
Kunitz, Wilhelm | 1894–1983 | Mineraloge; Chemiker; Dozent
Lindemann, Walter | 1886–1940 | Arzt; Gynäkologe; Militärarzt; Hochschullehrer
LASH Abt. 268, Nr. 427: Protokollum rev. capituli Lubicensis: Band 24
Meyer, Eduard | 1855–1930 | Althistoriker; Kirchenhistoriker; Klassischer Philologe; Bibliothekar; Ägyptologe; Altorientalist; Hochschullehrer
Loening, Karl | 1877–1926 | Arzt; Militärarzt
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
Hartung, Fritz | 1883–1967 | Historiker; Jurist; Ministerialrat; Hochschullehrer
Neiss, Fritz | 1883–1952 | Mathematiker; Lehrer; Oberstudienrat; Hochschullehrer
Kraske, Paul | 1851–1930 | Arzt; Chirurg; Hochschullehrer
Oberbeck, Anton | 1846–1900 | Physiker; Hochschullehrer
Dörffel, Julius | 1900–1953 | Hautarzt; Arzt
Freylinghausen, Gottlieb Anastasius | 1719–1785 | Evangelischer Theologe; Hochschullehrer; Direktor
Sobernheim, Georg | 1865–1963 | Bakteriologe
Heimann, Betty | 1888–1961 | Indologin; Hochschullehrerin
Frech, Fritz | 1861–1917 | Geologe; Paläontologe
LASA, U 5, XVI Nr. 45: (Erzbischof Anselm Casimir von Mainz)
Gelb, Adhémar | 1887–1936 | Psychologe; Hochschullehrer
Lüthge, Heinrich | 1899– | Oberregierungsrat; Ministerialrat; Diplomlandwirt; Dozent
Achelis, Hans | 1865–1937 | Kirchenhistoriker; Archäologe; Theologe
Ahrens, Walther | 1910–1981 | Mikrobiologe; Arzt
Dzondi, Karl Heinrich | 1770–1835 | Arzt; Chirurg; Philosoph; Bibliothekar
Drews, Paul | 1858–1912 | Evangelischer Theologe; Diakon
Herff, Otto von | 1856–1916 | Arzt; Hochschullehrer; Gynäkologe; Arzt
Dietzel, Karl Heinrich | 1893–1951 | Geograf; Ethnologe
Allesch, Gustav Johannes von | 1882–1967 | Psychologe; Philosoph; Hochschullehrer
LASH Abt. 268 Nr. 418: Protokollum rev. capituli Lubicensis
Arndt, Adolf | 1849–1926 | Jurist; Hochschullehrer
Schmidt, Richard | 1866–1939 | Übersetzer; Indologe
Brugsch, Theodor | 1878–1963 | Arzt; Internist; Politiker; Militärarzt; Hochschullehrer
Schmidt-Rimpler, Walter | 1885–1975 | Jurist; Hochschullehrer
Haring, Wilhelm | 1900–1975 | Arzt; Internist; Hochschullehrer
LASH Abt. 268 Nr. 541: Chronologischer Index zu den Bänden 22-34 des Kapitels-Protokolle (Nr. 425-437)
Boehmer, Gustav | 1881–1969 | Jurist; Hochschullehrer
Nettelbladt, Daniel | 1719–1791 | Jurist; Hochschullehrer
LASA, A 14, Nr. 260: Aszension des Herrn von Buchholz und was ratione saltus nach dem Vergleich von 1662 und 1675 dabei vorgekommen
Abert, Hermann | 1871–1927 | Musikwissenschaftler; Historiker; Klassischer Philologe; Komponist; Arrangeur; Hochschullehrer; Herausgeber
Dehn, Günther | 1882–1970 | Evangelischer Theologe; Exeget; Hochschullehrer
Gloel, Johannes | 1857–1891 | Evangelischer Theologe; Neutestamentler
Eger, Karl | 1864–1945 | Evangelischer Theologe; Pfarrer; Kirchenrat; Hochschullehrer
LASH Abt. 268 Nr. 419: 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
Cornelius, Carl Sebastian | 1819–1896 | Physiker; Philosoph
Gilbert, Ludwig Wilhelm | 1769–1824 | Physiker; Hochschullehrer; Chemiker; Mathematiker; Geograf; Astronom
Pringsheim, Ernst G. | 1881–1970 | Mikrobiologe; Botaniker; Übersetzer; Direktor; Hochschullehrer
Lehmann, Richard | 1845–1942 | Geograf; Oberlehrer; Rektor
LASH Abt. 268 Nr. 415: Protokollum rev. capituli Lubicensis
Zeitraum: Gesamtlaufzeit 1713 - 1756, vermutlich die späteren Jahre davon
LASA, A 14, Nr. 263, Bd. III: Vom König erteilte Expektanzen und Kollationspatente
Becher, Erwin | 1890–1944 | Arzt; Internist; Hochschullehrer
LASH Abt. 268 Nr. 21: Alphabetische Studienbescheinigungen für Domherren zu Lübeck (Documenta studii biennalis)
Ranke, Hans Rudolf | 1849–1887 | Chirurg; Hochschullehrer; Arzt
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
Goldhagen, Johann Friedrich Gottlieb | 1742–1788 | Arzt; Freimaurer
Krefft, Siegfried | 1916–1981 | Rechtsmediziner; Hochschullehrer; Arzt
Burdach, Konrad | 1859–1936 | Musikwissenschaftler; Germanist; Literaturwissenschaftler; Kunsthistoriker; Literarhistoriker; Schriftsteller
Gasser, Simon Peter | 1676–1745 | Jurist; Hochschullehrer; Geheimer Rat
Bassarak, Gerhard | 1918–2008 | Theologe
Asinger, Friedrich | 1907–1999 | Chemiker; Hochschullehrer
Coschwitz, Georg Daniel | 1679–1729 | Arzt; Hochschullehrer; Botaniker; Apotheker
Gierke, Julius Karl Otto von | 1875–1960 | Jurist; Hochschullehrer
Ruth, Rudolf | 1888–1942 | Jurist; Gerichtsassessor; Hochschullehrer
Richter, Friedrich Adolph | 1748–1797 | Arzt
Lieser, Theodor | 1900–1973 | Hochschullehrer
Deutschbein, Max | 1876–1949 | Philologe; Anglist; Hochschullehrer
Disselhorst, Rudolf | 1854–1930 | Arzt; Tierarzt; Landwirt; Hochschullehrer; Repetitor
Francke, August Hermann | 1663–1727 | Evangelischer Theologe; Pietist; Klassischer Philologe; Orientalist; Pädagoge; Pfarrer; Hochschullehrer
Agricola, Rudolf | 1900–1985 | Wirtschaftswissenschaftler; Journalist; Hochschullehrer; Diplomat
Oppel, Albert | 1863–1916 | Arzt; Histologe
Cornill, Carl Heinrich | 1854–1920 | Philologe; Evangelischer Theologe; Hochschullehrer
Maurenbrecher, Bertold | 1868–1943 | Philologe; Klassischer Philologe
Bunge, Paul | 1853–1926 | Arzt; Augenarzt; Militärarzt; Hochschullehrer
LASH Abt. 268 Nr. 410: Protocollum causarum capitularium ecclesie Lubicensis
Brauns, David | 1827–1893 | Geologe; Arzt; Schriftsteller; Forschungsreisender
LASA, A 14, Nr. 279: Legitimation des Grafen von Wartenberg und Aszension des Herrn von Wylich
Burmeister, Hermann | 1807–1892 | Forschungsreisender; Entomologe; Naturwissenschaftler; Zoologe; Arzt; Lehrer
König, Heinrich Johann Otto | 1748–1820 | Jurist
Praechter, Karl | 1858–1933 | Klassischer Philologe; Gymnasiallehrer; Hochschullehrer
Schmoller, Gustav von | 1838–1917 | Wirtschaftswissenschaftler; Sozialwissenschaftler; Hochschullehrer; Volkswirt
Kruse, Friedrich | 1790–1866 | Historiker; Geograf; Lehrer
Mitteis, Heinrich | 1889–1952 | Jurist; Historiker; Hochschullehrer
Disse, Joseph | 1852–1912 | Arzt; Anatom
Hein, Wolfgang | 1883–1976 | Jurist; Beisitzer; Hochschullehrer
Schmieden, Victor | 1874–1945 | Arzt; Chirurg; Hochschullehrer
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.
Freisleben, Rudolf | 1906–1943 | Biologe; Genetiker; Pflanzenzüchter
Callenberg, Johann Heinrich | 1694–1760 | Orientalist; Theologe; Evangelischer Theologe; Hochschullehrer; Bibliothekar; Missionar
LASH Abt. 268 Nr. 24: Residenzjahre der Domherren zu Lübeck
Gemmingen, Hans Dieter von | 1902–1944-12 | Jurist
Bary, Anton de | 1831–1888 | Botaniker; Botaniker
Fischer-Lamberg, Otto | 1886–1963 | Künstler; Kunsterzieher; Maler; Zeichner; Grafiker
Schlitte, Johann Gerhard | 1683–1748 | Jurist; Hofrat
Loeffler, Friedrich | 1885–1967 | Arzt; Orthopäde; Chirurg; Militärarzt; Schiffsarzt; Hochschullehrer
Hesse, Albert | 1876–1965 | Jurist; Volkswirt
Berger, Arnold Erich | 1862–1948 | Philologe; Germanist
Kisch, Guido | 1889–1985 | Jurist; Hochschullehrer
Runge, Franz | 1893–1973 | Chemiker; Hochschullehrer
Ruttenbeck, Walter | 1890–1964 | Theologe; Pfarrer; Sanitäter; Krankenhausseelsorger; Hochschullehrer
Flügel, Fritz Eugen | 1897–1973 | Arzt; Neurologe; Psychiater; Hochschullehrer
Eberhard, Johann August | 1738–1809 | Philosoph; Schriftsteller; Theologe; Lehrer; Pfarrer
Hehlmann, Wilhelm | 1901–1997 | Pädagoge; Psychologe; Lehrer; Regierungsrat; Hochschullehrer
Rauterberg, Eduard | 1898–1977 | Agrikulturchemiker
Karo, Georg | 1872–1963 | Archäologe; Denkmalpfleger; Hochschullehrer
Hermberg, Paul | 1888–1969 | Soziologe; Hochschullehrer; Statistiker; Volkswirt
LASA, A 14, Nr. 301: Resignation der Minorpräbende des Herrn August Friedrich von der Asseburg
Erdmann, Benno | 1851–1921 | Philosoph; Psychologe
LASH Abt. 260 Nr. 2120: Regierung Eutin: Lübsche Dompropsten
Hempel, Johannes | 1891–1964 | Evangelischer Theologe; Alttestamentler; Religionswissenschaftler; Militärgeistlicher; Hochschullehrer; Pfarrer
Baesecke, Georg | 1876–1951 | Mediävist; Germanist; Hochschullehrer; Philologe; Schriftsteller; Hochschullehrer
Juncker, Johann Christian Wilhelm | 1761–1800 | Arzt
LASH Abt. 268 Nr. 412: Protocollum causarum capitularium ecclesie Lubicensis
Krüger, Johann Gottlob | 1715–1759 | Arzt
Huber, Eugen | 1849–1923 | Jurist; Hochschullehrer
Giese, Fritz | 1890–1935 | Psychologe; Tiefenpsychologe; Arbeitswissenschaftler; Hochschullehrer; Schriftsteller
LASH Abt. 268 Nr. 437: Protokollum rev. capituli Lubicensis: Band 34
LASH Abt. 268 Nr. 444: Protokollum rev. capituli Lubicensis: Band 41
LASH Abt. 268 Nr. 438: Protokollum rev. capituli Lubicensis: Band 35
Böhmer, Johann Samuel Friedrich von | 1704–1772 | Jurist; Hochschullehrer
Reichenbach, Erwin | 1897–1973 | Zahnarzt
Moser, Hans Joachim | 1889–1967 | Musiker; Sänger; Bariton <Sänger>; Schriftsteller; Gesangslehrer; Musikwissenschaftler
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.
Lengerken, Hanns von | 1889–1966 | Biologe; Zoologe
Eberhard, Victor | 1861–1927 | Mathematiker; Hochschullehrer
Heldmann, Karl | 1869–1943 | Historiker; Hochschullehrer
Roth, Heinrich Albert | 1900–1973 | Agrarwissenschaftler
LASH Abt. 260 Nr. 22: Stiftsregierung in Abwesenheit des Bischofs Adolph Friedrich im Hochstift Lübeck
Kürten, Heinz | 1891–1966 | Arzt; Internist; Hochschullehrer
Keil, Heinrich | 1822–1894 | Philologe; Klassischer Philologe
Buadze, Severian | 1894–1934 | Arzt; Dozent
Konopak, Christian Gottlieb | 1767–1841 | Jurist
Andree, Julius | 1889–1942 | Paläontologe; Prähistoriker
Jürgens, Enno | 1849–1907 | Mathematiker
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
Preisker, Herbert | 1888–1952 | Evangelischer Theologe
LASA, A 14, Nr. 116: Elektion im Jahr 1782
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
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
Brockelmann, Carl | 1868–1956 | Orientalist; Semitist; Turkologe; Hochschullehrer
Jensen, Paul | 1868–1952 | Physiologe; Arzt
Fischer, Hans Albrecht | 1874–1942 | Jurist; Hochschullehrer
Doetsch, Gustav | 1892–1977 | Mathematiker; Hochschullehrer; Offizier
Cellarius, Christoph | 1638–1707 | Historiker; Klassischer Philologe; Orientalist; Gymnasiallehrer; Hochschullehrer
Dörries, Hermann | 1895–1977 | Kirchenhistoriker; Theologe; Hochschullehrer
Lang, Richard | 1882–1935 | Geologe; Agrikulturchemiker; Bodenkundler; Hochschullehrer
Stahl, Georg Ernst | 1659–1734 | Arzt; Chemiker; Hochschullehrer; Leibarzt
Endemann, Friedrich | 1857–1936 | Jurist
Siegert, Ferdinand | 1865–1946 | Arzt; Kinderarzt
Gabriel, Paul | 1883–1964 | Pfarrer; Komponist; Evangelischer Theologe
Justi, Karl | 1873–1949 | Arzt; Pathologe; Tropenarzt; Heimatkundler
LASH Abt. 268 Nr. 409: Protocollum causarum capitularium ecclesie Lubicensis, unvollständig
Altheim, Franz | 1898–1976 | Althistoriker
LASA, A 14, Nr. 122: Einige Misshelligkeiten zwischen dem Domkapitel und dem Domherrn von Rochow
Mohr, Leo | 1874–1918 | Internist; Arzt; Militärarzt; Hochschullehrer
Knapp, Georg Christian | 1753–1825 | Evangelischer Theologe; Hochschullehrer; Schulleiter; Konsistorialrat; Pietist; Theologe
Krause, Johann Christoph | 1749–1799 | Philosoph; Historiker
Böhmer, Philipp Adolph | 1711–1789 | Arzt; Hochschullehrer; Leibarzt
Bode, Heinrich von | 1652–1720 | Jurist; Hochschullehrer; Konsistorialrat
Hasenclever, Adolf | 1875–1938 | Historiker; Ägyptologe; Volkswirt; Soldat; Hochschullehrer
LASA, A 14, Nr. 257: Vom König konferierte Präbenden und Kollationspatente
Duncker, Maximilian Wolfgang | 1811–1886 | Historiker; Archivar; Hochschullehrer; Politiker
LASA, A 13, Nr. 1122: Wahl der Dechanten beim Domkapitel
LASH Abt. 268 Nr. 411: Protocollum causarum capitularium ecclesie Lubicensis
Scheibe, Max | 1870–1902 | Evangelischer Theologe
Jahn, Kurt | 1873–1915 | Literarhistoriker
LASH Abt. 268 Nr. 23: Persönliche Possessionsnehmung der Kanonikate
LASH Abt. 268 Nr. 456: Manual-Protokolle
Zeitraum: Gesamtlaufzeit 1713 - 1756, vermutlich die mittleren Jahre davon
LASA, A 14, Nr. 263, Bd. II: Vom König erteilte Expektanzen und Kollationspatente
Herweg, Julius | 1879–1936 | Physiker; Hochschullehrer; Adjutant
LASA, A 14, Nr. 247: Emanzipations- und Possessionsscheine
Genzmer, Alfred | 1851–1912 | Chirurg; Hochschullehrer
Buhlert, Hans | 1872–1915 | Agrarwissenschaftler
Seel, Hans | 1898–1961 | Arzt; Pharmakologe; Sanitäter; Hochschullehrer
LASH Abt. 260 Nr. 21: Wahl des Herzogs Adolph Friedrich zum Bischof im Hochstift Lübeck
LASH Abt. 268, Nr. 430: Protokollum rev. capituli Lubicensis: Band 27
Brieger, Theodor | 1842–1915 | Evangelischer Theologe; Kirchenhistoriker
Buddenbrock-Hettersdorff, Wolfgang, Freiherr von | 1884–1964 | Zoologe; Hochschullehrer
Buddenbrock-Hettersdorff, Wolfgang, Freiherr von
Gerhardt, Ulrich | 1875–1950 | Zoologe; Militärarzt; Hochschullehrer; Widerstandskämpfer
Stenzel, Julius | 1883–1935 | Philosoph; Klassischer Philologe; Lehrer; Hochschullehrer
Nasse, Otto | 1839–1903 | Arzt; Hochschullehrer; Pharmakologe; Physiologe
Junghans, Philipp Caspar | 1738–1799 | Arzt; Botaniker; Hochschullehrer
Schrader, Gerhard | 1900–1949 | Hochschullehrer; Arzt; Rechtsmediziner
Sattelmacher, Paul | 1879–1947 | Jurist; Richter; Ministerialrat
Ebers, Johann | 1742–1818 | Beamter; Literaturwissenschaftler
Müller, August | 1848–1892 | Orientalist; Arabist; Hochschullehrer
Enke, Willi | 1895–1974 | Psychiater; Neurologe; Arzt; Hochschullehrer
LASA, A 14, Nr. 409: Von dem Freiherrn von Galen an den Freiherrn Korf, genannt Schneising resignierte Elektenpräbende
Scharff, Alexander | 1892–1950 | Ägyptologe; Kurator <Museumskunde>; Hochschullehrer
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
Alverdes, Friedrich | 1889–1952 | Zoologe
Jacobi, Johann Georg | 1740–1814 | Schriftsteller; Philosoph; Hochschullehrer; Dramatiker
Jaensch, Erich Rudolf | 1883–1940 | Philosoph; Psychologe
Krause, Fedor | 1857–1937 | Arzt; Chirurg
Baer, Reinhold | 1902–1979 | Mathematiker; Hochschullehrer; Lehrer
Schmidt-Hoensdorf, Fritz | 1889–1967 | Hochschullehrer; Tierarzt; Zoologe
Oberst, Maximilian | 1849–1925 | Arzt; Chirurg; Hochschullehrer
Hertz, Gustav | 1887–1975 | Physiker; Hochschullehrer
Metzger, Wolfgang | 1899–1979 | Psychologe; Hochschullehrer
Printz, Wilhelm | 1887–1941 | Indologe; Bibliothekar; Hochschullehrer
Herre, Wolf | 1909–1997 | Zoologe; Hochschullehrer
Fassbender, Friedrich Wilhelm | 1893–1981 | Arzt
LASA, A 14, Nr. 127: Nachweisung vom Personalzustand des Domkapitels
Pfeifer, Berthold | 1871–1942 | Psychiater; Arzt; Schiffsarzt; Militärarzt; Hochschullehrer
Geßner, Otto | 1895–1968 | Arzt; Pharmakologe
Hartwich, Adolf | 1889– | Internist; Arzt; Militärarzt; Dozent
Schultze-Galléra, Siegmar von | 1865–1945 | Literarhistoriker; Germanist; Heimatkundler; Lehrer
Smend, Rudolf | 1851–1913 | Alttestamentler; Theologe; Semitist
Leydolph, Walter | 1903–1969 | Agrarwissenschaftler; Tierzüchter
Haase, Ernst | 1871–1959 | Pädagoge; Mineraloge; Lehrer; Mathematiklehrer
Müldener, Johann Christian | –1710 | Jurist; Hochschullehrer; Hofrat
Haseloff, Arthur | 1872–1955 | Kunsthistoriker
Baumgarten, Siegmund Jakob | 1706–1757 | Evangelischer Theologe; Historiker; Hochschullehrer
Gloege, Gerhard | 1901–1970 | Theologe; Priester
LASA, A 14, Nr. 293 Bd. I: Dem Obrist von Löben konferierte Präbende des Domscholasters von Münchhausen, ist an Herrn von Münchhausen resigniert
Frank, Reinhard von | 1860–1934 | Jurist; Hochschullehrer
LASA, A 14, Nr. 302: Absterben des Subseniors von Haren und Aszension des von Byern
Menzer, Paul | 1873–1960 | Philosoph; Pädagoge; Hochschullehrer
Joerges, Rudolf | 1868–1957 | Jurist; Hochschullehrer
Ludwig, Wilhelm | 1901–1959 | Biologe; Zoologe; Genetiker; Hochschullehrer
LASH Abt. 268 Nr. 540: Chronologischer Index zu den Bänden 12-21 des Kapitels-Protokolle (Nr. 415-424)
Goelicke, Andreas Ottomar | 1671–1744 | Arzt; Anatom
Schmidt, Adolf | 1865–1918 | Arzt; Internist; Politiker; Militärarzt; Hochschullehrer; Rektor
Henrici, Heinrich | 1673–1728 | Arzt; Hochschullehrer; Leibarzt
LASA, A 14, Nr. 245 Bd. II: Domkapitularische, olim mecklenburgische, dann kurprinzliche Erbpräbende, deren Erhandlung und nachherige Kollation
Rausch, Alfred | 1858–1939 | Pädagoge; Schulleiter; Philosoph
Müller, Karl Friedrich | 1852–1940 | Evangelischer Theologe; Kirchenhistoriker; Hochschullehrer
Aubin, Gustav | 1881–1938 | Historiker; Wirtschaftshistoriker; Hochschullehrer; Volkswirt; Jurist; Oberstleutnant
Rehme, Paul | 1867–1941 | Jurist; Hochschullehrer
LASH Abt. 268 Nr. 442: Protokollum rev. capituli Lubicensis: Band 39
Matz, Friedrich | 1843–1874 | Archäologe; Klassischer Philologe; Hochschullehrer
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)
Litzner, Stillfried | 1897–1972 | Arzt; Internist; Hochschullehrer
Meyer, Gottfried | 1855–1933 | Regierungsrat
Franke, Carl Christian Leberecht | 1796–1879 | Pfarrer; Evangelischer Theologe; Pädagoge; Superintendent; Hochschullehrer; Bibliothekar
Ruhland, Wilhelm | 1878–1960 | Botaniker; Wissenschaftshistoriker; Hochschullehrer; Zeitungsverleger
Gutzmer, August | 1860–1924 | Mathematiker; Hochschullehrer; Rektor
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
Dabelow, Christoph Christian von | 1768–1830 | Jurist; Hochschullehrer
Brunnemann, Jakob | 1674–1735 | Jurist; Hochschullehrer
Liebenberg de Zsitin, Adolf, Ritter | 1851–1922 | Agrarwissenschaftler; Pflanzenzüchter; Hochschullehrer
Jirku, Anton | 1885–1972 | Alttestamentler; Religionswissenschaftler; Hochschullehrer
Seifert, Hans Julius Karl | 1893–1976 | Mineraloge
LASA, A 14, Nr. 304: Resignation der Minorpräbende des Herrn von Kleist an Herrn von Rochow
LASH Abt. 268 Nr. 447: Protokollum rev. capituli Lubicensis: Band 44
Kautzsch, Rudolf | 1868–1945 | Kunsthistoriker; Buchwissenschaftler
Eltzbacher, Paul | 1868–1928 | Jurist; Volkswirt; Sozialwissenschaftler
Mestwerdt, Gustav | 1910–1979 | Arzt; Gynäkologe
Nösselt, Johann August | 1734–1807 | Evangelischer Theologe; Hochschullehrer
Gosche, Richard | 1824–1889 | Orientalist; Literarhistoriker
Prange, Georg | 1885–1941 | Mathematiker; Hochschullehrer
Langlet, Joachim-Friedrich | 1906–1979 | Agrarwissenschaftler; Hochschullehrer
Koepp, Wilhelm | 1885–1965 | Theologe; Evangelischer Theologe; Militärgeistlicher; Hochschullehrer
Gorten, Manfred L. | 1886–1952-08 | Arzt; Neurologe; Psychiater; Militärarzt
Beschke, Erich | 1878– | Chemiker; Hochschullehrer
Kast, Wilhelm | 1898–1980 | Physiker; Hochschullehrer
Dolch, Moritz | 1885–1931 | Chemiker; Hochschullehrer
Koch, Johannes | 1901–1969 | Arzt; Hals-Nasen-Ohren-Arzt
Hübner, Rudolf | 1864–1945 | Jurist; Hochschullehrer
Griesbach, Johann Jacob | 1745–1812 | Evangelischer Theologe; Hochschullehrer; Publizist; Abgeordneter; Theologe
Förster, Johann Christian | 1735–1798 | Philosoph; Historiker; Staatswissenschaftler; Autor
Koellreutter, Otto | 1883–1972 | Jurist; Richter; Hochschullehrer
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.
Rahlwes, Alfred | 1878–1946 | Musikdirektor; Komponist; Dirigent; Komponist
Finger, August | 1858–1935 | Jurist; Richter; Politiker; Abgeordneter; Hochschullehrer
Köppe, Johann Moritz | 1832–1879 | Psychiater
Seeligmüller, Otto Ludwig A... | 1837–1912 | Arzt; Neurologe
Otto, Martin Heinrich | 1706–1738 | Philosoph; Jurist; Hochschullehrer
Neumann, Karl Johannes | 1857–1917 | Historiker
Siedentop, Irmfried | 1902–1995 | Geograf; Meteorologe; Dozent
LASA, A 14, Nr. 294: Aszension des Minorherrn von Byern bei des von Ende Absterben
Göhring, Martin | 1903–1968 | Historiker; Hochschullehrer
Sommerlad, Theo | 1869–1940 | Historiker; Wirtschaftswissenschaftler; Hochschullehrer
Kampffmeyer, Georg | 1864–1936 | Orientalist; Arabist; Philologe
Fodor, Andor | 1884–1968 | Chemiker; Hochschullehrer
Philippi, Johann Ernst | 1700–1758 | Jurist; Philologe; Hochschullehrer; Selbstverleger
Hense, Otto | 1845–1931 | Klassischer Philologe
Kahle, Paul | 1875–1964 | Evangelischer Theologe; Semitist; Orientalist; Pfarrer
Schulze, Heinrich | 1874–1926 | Chemiker; Apotheker; Hochschullehrer
LASH Abt. 268 Nr. 422: Protokollum rev. capituli Lubicensis
Körner, Hans | 1862–1929 | Zahnarzt; Militärarzt; Hochschullehrer
Muff, Christian | 1841–1911 | Klassischer Philologe; Germanist
Pauli, Karl Friedrich | 1723–1778 | Jurist; Historiker; Hochschullehrer
Smekal, Adolf | 1895–1959 | Physiker; Hochschullehrer
Eigler, Gerhard | 1900–1975 | Arzt; Hals-Nasen-Ohren-Arzt; Direktor
Christ, Karl | 1878–1943 | Philologe; Romanist; Bibliotheksdirektor; Bibliothekar; Bibliothekswissenschaftler
Schaedel, Bernhard | 1878–1926 | Philologe; Romanist
Schwarz, Emil | 1852– | Arzt; Gynäkologe
Falke, Friedrich | 1871–1948 | Agrarwissenschaftler; Hochschullehrer
Schneider, Max | 1875–1967 | Musikwissenschaftler; Hochschullehrer; Kapellmeister; Dirigent
Koch, Waldemar | 1880–1963 | Politiker; Betriebswirt; Hochschullehrer
Goebel, Fritz | 1888–1950 | Kinderarzt; Arzt; Hochschullehrer; Militärarzt
Erdmann, Ernst | 1857–1925 | Chemiker; Hochschullehrer
Holdefleiß, Friedrich Wilhelm | 1846–1919 | Agrikulturchemiker; Chemiker; Hochschullehrer; Landwirt
LASH Abt. 260 Nr. 2129: Regierung Eutin: Wahl des Dechanten von 1712
Bauer, Hans | 1878–1937 | Orientalist; Semitist; Theologe; Klassischer Philologe; Publizist; Priester; Hochschullehrer
LASH Abt. 260 Nr. 30: Gutachten des Justizrates Eschen über die Notwendigkeit einer kaiserlichen Konfirmation bei Bischofs- und Koadjutorwahlen im Hochstift Lübeck
Kähler, Wilhelm | 1871–1934 | Volkswirt; Jurist; Hochschullehrer; Politiker
Schumann, Friedrich Karl | 1886–1960 | Evangelischer Theologe; Pfarrer; Militärgeistlicher; Hochschullehrer
Rive, Richard Robert | 1864–1947 | Oberbürgermeister; Jurist
Hiller, Eduard | 1844–1891 | Klassischer Philologe
Krohn, August | 1840–1890 | Philosoph; Lehrer
Pietrusky, Friedrich | 1893–1971 | Rechtsmediziner; Rektor; Hochschullehrer
Meckel, Philipp Friedrich Theodor | 1755–1803 | Arzt
Gehrig, Hans | 1882–1968 | Volkswirt; Wirtschaftswissenschaftler; Staatswissenschaftler; Hochschullehrer
Rudolph, Albert | 1901– | Wirtschaftsgeograf; Hochschullehrer
Knorre, Carl Gottlieb | 1696–1753 | Jurist; Geheimer Rat
Heck, Philipp | 1858–1943 | Jurist; Hochschullehrer
Krause, Johann Heinrich | 1800–1882 | Klassischer Philologe; Archäologe; Privatdozent
Leipoldt, Johannes | 1880–1965 | Historiker; Religionswissenschaftler; Diakon
Rojahn, Carl August | 1889–1938 | Hochschullehrer; Chemiker
Reess, Max | 1845–1901 | Botaniker; Biologe
Harms, Helmut | 1912–2011 | Naturwissenschaftler
Kneise, Otto | 1875–1953 | Urologe; Gynäkologe; Militärarzt; Hochschullehrer
Columbus, Arno | 1907–1960 | Agrarwissenschaftler; Diplomlandwirt
Römer, Paul H. | 1876–1916 | Bakteriologe; Arzt; Hochschullehrer
Philippson, Alfred | 1864–1953 | Geograf; Hochschullehrer
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.
Lippmann, Edmund von | 1857–1940 | Unternehmer; Chemiker; Wissenschaftshistoriker
Alt, Albrecht | 1883–1956 | Theologe; Alttestamentler; Archäologe; Hochschullehrer; Pfarrer; Historiker
Hilkenbäumer, Friedrich | 1909–1976 | Agrarwissenschaftler; Gärtner
Schmidt, Paul | 1872–1950 | Arzt; Bakteriologe; Schiffsarzt; Hochschullehrer
Grammel, Richard | 1889–1964 | Physiker; Mechaniker; Ingenieur; Krankenpfleger; Hochschullehrer
LASH Abt. 268 Nr. 25: Anzahl der residierenden Domherren zu Lübeck
Schwartz, Johann Christoph | 1846–1915 | Jurist
Clausen, Wilhelm | 1878–1961 | Augenarzt; Militärarzt; Hochschullehrer
Hölscher, Gustav | 1877–1955 | Theologe; Alttestamentler; Philologe; Hochschullehrer
Riehl, Alois | 1844–1924 | Philosoph; Hochschullehrer
LASH Abt. 268 Nr. 17: Besetzung in päpstlichen Monaten vakant werdender Präbenden (Menses papales)
Prange, Christian Friedrich | 1756–1836 | Kunsterzieher; Philosoph; Jurist; Hochschullehrer
Brünneck, Wilhelm von | 1839–1917 | Jurist; Hochschullehrer
Nicolai, Ernst Anton | 1722–1802 | Arzt; Chemiker; 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
Freund, Richard | 1872–1942 | Arzt; Gynäkologe; Hochschullehrer
Ritter, Otto | 1876–1963 | Philologe; Anglist; Hochschullehrer
Golf, Arthur | 1877–1941 | Tierzüchter; Agrarwissenschaftler
LASA, A 13, Nr. 1138: Die Elektenpräbenden
LASH Abt. 268 Nr. 448: Protokollum rev. capituli Lubicensis: Band 45
Steck, Johann Christoph Wilhelm von | 1730–1797 | Jurist; Diplomat; Schriftsteller
Schneidewind, Wilhelm | 1860–1931 | Chemiker; Agrarwissenschaftler; Agrikulturchemiker
Orth, Albert | 1835–1915 | Agrarwissenschaftler
Praetorius, Franz | 1847–1927 | Orientalist; Philologe
Montfort, Camill | 1890–1956 | Botaniker; Hochschullehrer
Mulertt, Werner | 1892–1944 | Romanist; Hochschullehrer
Liefmann, Harry | 1877–1915 | Bakteriologe; Arzt
Schmelzeisen, Gustaf Klemens | 1900–1982 | Jurist; Hochschullehrer
LASH Abt. 260 Nr. 24: Wahl des Prinzen Friedrich von Dänemark zum Koadjutor im Hochstift Lübeck
Mueller, Berthold | 1898–1976 | Hochschullehrer; Arzt; Rechtsmediziner; Medizinhistoriker
Clemen, Carl Christian | 1865–1940 | Evangelischer Theologe; Hochschullehrer
Merkel, Franz Rudolf | 1881–1955 | Hochschullehrer; Religionswissenschaftler; Pfarrer; Militärgeistlicher
Zeitraum: Gesamtlaufzeit 1713 - 1756 , vermutlich die ersten Jahre davon
LASA, A 14, Nr. 263, Bd. I: Vom König erteilte Expektanzen und Kollationspatente
Müller, Julius | 1801–1878 | Evangelischer Theologe; Prediger; Theologe
Schmidt-Rimpler, Hermann | 1838–1915 | Augenarzt
Behring, Emil von | 1854–1917 | Arzt; Wissenschaftler
Gellhorn, Ernst | 1893–1973 | Arzt; Physiologe; Hochschullehrer
Berndt, Erhard | 1900– | Agrarwissenschaftler
Holdefleiß, Paul | 1865–1940 | Agrarwissenschaftler; 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.
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.
Schmidt, Karl Eduard Franz | 1862–1946 | Physiker; Hochschullehrer
Gunkel, Hermann | 1862–1932 | Evangelischer Theologe; Alttestamentler; Hochschullehrer
Haupt, Erich | 1841–1910 | Theologe; Lehrer; Gymnasiallehrer
Giese, Wilhelm | 1895–1990 | Philologe; Romanist; Hispanist; Kriegsteilnehmer; Kriegsgefangener
Noack, Ulrich | 1899–1974 | Historiker; Hochschullehrer; Historiker
Böhmer, Justus Henning | 1674–1749 | Jurist; Hochschullehrer; Kanzler; Kirchenlieddichter
Hoffmann, Friedrich | 1703–1766 | Arzt; Pharmakologe; Hochschullehrer
Hultzsch, Eugen | 1857–1927 | Indologe; Philologe; Epigraphiker; Hochschullehrer
Bumm, Ernst | 1858–1925 | Arzt; Gynäkologe; Naturwissenschaftler
Schürer, Oskar | 1892–1949 | Kunsthistoriker; Schriftsteller; Lyriker; 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
Brückner, Eduard | 1862–1927 | Geograf; Klimatologe; Hochschullehrer; Geologe; Mineraloge
Grüneberg, Theodor | 1901–1979 | Arzt; Hautarzt; Hochschullehrer; Direktor
Arnim, Hans von | 1859–1931 | Philologe; Klassischer Philologe
Kleinknecht, Hermann | 1907–1960 | Klassischer Philologe; Hochschullehrer
Noack, Kurt | 1888–1963 | Biologe; Botaniker; Biochemiker; Bakteriologe; Direktor; Hochschullehrer
Klein, Ernst Ferdinand | 1743–1810 | Jurist; Freimaurer
Keller, Ott-Heinrich | 1906–1990 | Mathematiker
Boeminghaus, Hans | 1893–1979 | Urologe; Arzt; Chirurg; Hochschullehrer
Gericke, Wolfgang | 1914–1993 | Pfarrer; Evangelischer Theologe; Kirchenhistoriker
LASH Abt. 268 Nr. 439: Protokollum rev. capituli Lubicensis: Band 36
Herbst, Wilhelm | 1825–1882 | Pädagoge; Schriftsteller; Klassischer Philologe; Schulleiter; Historiker
Kattenbusch, Ferdinand | 1851–1935 | Evangelischer Theologe; Hochschullehrer
Sprengel, Kurt | 1766–1833 | Arzt; Botaniker; Hochschullehrer; Übersetzer
Schlottmann, Constantin | 1819–1887 | Evangelischer Theologe; Orientalist; Hochschullehrer
Ficker, Gerhard | 1865–1934 | Evangelischer Theologe; Kirchenhistoriker
Sperlette, Johann | 1661–1724 | Philosoph
Aichel, Otto | 1871–1935 | Arzt; Philosoph; Anthropologe
Hoffmann, Walther | 1910–1974 | Agrarwissenschaftler
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)
LASA, A 14, Nr. 293 Bd. II: Dem Obrist von Löben konferierte Präbende des Domscholasters von Münchhausen, ist an Herrn von Münchhausen resigniert
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.
Koch, Rudolf | 1909–1963 | Arzt; Rechtsmediziner
Aschner, Bernhard | 1883–1960 | Arzt; Gynäkologe; Physiologe; Chirurg; Endokrinologe; Medizinhistoriker; Übersetzer
Robert, Carl | 1850–1922 | Archäologe; Klassischer Philologe; Hochschullehrer
Tartler, Georg | 1899–1976 | Arzt; Hochschullehrer; Rektor
Schachtschabel, Hans | 1914–1993 | Volkswirt; Hochschullehrer
Schwinge, Erich | 1903–1994 | Jurist; Richter; Strafverteidiger; Beisitzer; Schriftsteller; Hochschullehrer
Fehr, Hans | 1874–1961 | Jurist; Historiker; Schriftsteller; Hochschullehrer; Kunsthistoriker
Krahmer, Friedrich Ludwig | 1810–1893 | Pharmakologe
Messerschmidt, Wilhelm | 1906–1975 | Physiker
Heydemann, Heinrich | 1842–1890 | Archäologe
Hoffmann, Gerhard | 1880–1945 | Physiker
Schniewind, Julius | 1883–1948 | Neutestamentler; Evangelischer Theologe; Militärgeistlicher; Propst; Hochschullehrer
Haußleiter, Gottlob | 1857–1934 | Theologe; Pfarrer; Vikar; Lehrer; Hochschullehrer
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
LASH Abt. 268 Nr. 417: Protokollum rev. capituli Lubicensis
Koch, Herbert | 1880–1962 | Archäologe; Hochschullehrer
LASH Abt. 268 Nr. 423: Protokollum rev. capituli Lubicensis
Dobschütz, Ernst von | 1870–1934 | Theologe; Schriftführer; Hochschullehrer
Schubart, Christoph Andreas | 1663–1723 | Jurist
Kauffmann, Max | 1871–1923 | Psychiater; Neurologe; Arzt; Jurist; Hochschullehrer
Kohlschütter, Ernst | 1837–1905 | Arzt; Hochschullehrer; Kommunalpolitiker
Horsters, Hans | 1887–1957 | Arzt; Hochschullehrer
Schmaltz, Kurt | 1900–1995 | Wirtschaftswissenschaftler; Diplomkaufmann; Wirtschaftsprüfer; Steuerberater; Hochschullehrer
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
Müller, Ernst Friedrich Karl | 1863–1935 | Evangelischer Theologe; Pfarrer
Begrich, Joachim | 1900–1945 | Evangelischer Theologe; Hochschullehrer
Heineccius, Johann Gottlieb | 1681–1741 | Jurist; Hochschullehrer
Hoeßlin, Heinrich von | 1878–1955 | Arzt; Schiffsarzt; Internist; Militärarzt; Hochschullehrer
Büchner, Andreas Elias | 1701–1769 | Arzt; Physiker; Hochschullehrer
Eißfeldt, Otto | 1887–1973 | Religionswissenschaftler; Evangelischer Theologe; Hochschullehrer; Alttestamentler
Lehnerdt, Friedrich | 1881–1944 | Arzt; Kinderarzt; Militärarzt; Hochschullehrer
Ihm, Max | 1863–1909 | Klassischer Philologe
Kühn, Julius | 1825–1910 | Agrarwissenschaftler; Landwirt
Rothmann, Hans | 1899–1970 | Arzt; Internist; Militärarzt
LASH Abt. 268 Nr. 543: Auszüge aus dem Kapitels-Protokoll, angefangen vom Syndikus Detharding, fortgesetzt vom Syndikus Dr. Buchholz (chronologischer Index)
Grund, Georg | 1878–1944 | Arzt; Internist; Militärarzt; Hochschullehrer
LASA, A 14, Nr. 417: Ableben des Domkapitularen Freiherrn von Fürstenberg
Joachim, Johann Friedrich | 1713–1767 | Historiker; Jurist; Publizist
LASA, A 14, Nr. 306: Konferierung der Buschschen Erbpräbende an Werner Ludwig Clamor von Busch
Hering, Hermann | 1838–1920 | Evangelischer Theologe; Konsistorialrat; Krankenpfleger; Diakon; Archidiakon; Prediger; Superintendent; Hochschullehrer
Lintzel, Martin | 1901–1955 | Historiker; Hochschullehrer
Sperlette de Montguyon, Bartholomäus Johann
Lastig, Gustav | 1844–1930 | Jurist; Hochschullehrer
Gundling, Nicolaus Hieronymus | 1671–1729 | Theologe; Jurist; Historiker; Philosoph; Publizist
Heintz, Wilhelm Heinrich | 1817–1880 | Chemiker; Hochschullehrer; Apotheker
Rebeur-Paschwitz, Ernst von | 1861–1895 | Geophysiker; Astronom
LASH Abt. 268 Nr. 10: Kanonikate überhaupt
Kitzinger, Friedrich | 1872–1943 | Jurist
Gros, Oskar | 1877–1947 | Pharmakologe; Chemiker; Hochschullehrer
LASA, A 14, Nr. 291: Majorpräbende des Herrn von Hertefeld
Hamann-Mac Lean, Richard | 1908–2000 | Kunsthistoriker; Hochschullehrer; Sachverständiger
LASA, A 14, Nr. 129: Mit dem Domkapitel zu Hildesheim geführte Korrespondenz in puncto der neuen Stiftsverfassung
Michaelis, Johann Heinrich | 1668–1738 | Orientalist; Evangelischer Theologe; Philologe; Hochschullehrer; Bibliothekar
Schnell, Walter | 1891–1960 | Arzt; Militärarzt; Hochschullehrer
Schubart-Fikentscher, Gertrud | 1896–1985 | Historikerin; Jurist
Reiner, Hans | 1896–1991 | Philosoph; Pädagoge; Hochschullehrer
LASH Abt. 268 Nr. 436: Protokollum rev. capituli Lubicensis: Band 33
Hoffmeister, Johannes | 1894–1974 | Meteorologe
Boeke, Hendrik Enno | 1881–1921 | Mineraloge
Friedberg, Robert | 1851–1920 | Politiker; Jurist
Braunschweig, Paul | 1859–1927 | Arzt; Augenarzt; Militärarzt
Goetze, Otto | 1886–1955 | Arzt; Chirurg; Schiffsarzt; Hochschullehrer
LASA, A 14, Nr. 161: Rathaus zu Dardesheim und Besetzung der Ratsstellen
Klinkowski, Maximilian | 1904–1971 | Biologe
Schmid, Günther | 1888–1949 | Botaniker; Hochschullehrer
Grävinghoff, Walter | 1891–1975 | Kinderarzt
Schulz, Walther | 1887–1982 | Prähistoriker; Hochschullehrer; Museumsdirektor; Kurator <Museumskunde>
Feine, Paul | 1859–1933 | Evangelischer Theologe; Gymnasiallehrer; Erzieher; Hochschullehrer
Hackemann, Friedrich August | 1670–1742 | Jurist; Hochschullehrer; Bibliothekar
LASH Abt. 268, Nr. 428: Protokollum rev. capituli Lubicensis: Band 25
Anton, Gabriel | 1858–1933 | Arzt; Psychiater; Neurologe; Geheimer Rat; Hochschullehrer; Militärarzt
Eberhard, Johann Peter | 1727–1779 | Arzt; Naturwissenschaftler; Mathematiker; Physiker
Bechtel, Friedrich | 1855–1924 | Philologe; Indogermanist; Linguist; Hochschullehrer
Blohm, Georg | 1896–1982 | Agrarwissenschaftler; Hochschullehrer; Bibliotheksassistent
Schöttler, Hans | 1861–1945 | Evangelischer Theologe; Pfarrer; Militärgeistlicher; Generalsuperintendent
Beyschlag, Willibald | 1823–1900 | Evangelischer Theologe; Hochschullehrer; Pfarrer; Hofprediger
Schulze, Johann Heinrich | 1687–1744 | Arzt; Hochschullehrer; Polyhistor; Historiker; Chemiker; Numismatiker; Philologe
Jahn, Georg | 1885–1962 | Wirtschaftswissenschaftler; Philosoph; Soziologe; Redakteur; Publizist; Syndikusanwalt; Hochschullehrer
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
Giebel, Christian Gottfried Andreas | 1820–1881 | Biologe; Zoologe; Paläontologe
Breithaupt, Joachim Just | 1658–1732 | Evangelischer Theologe; Pietist; Pfarrer; Hochschullehrer; Kirchenlieddichter; Generalsuperintendent
Frankl, Paul | 1878–1962 | Kunsthistoriker; Hochschullehrer; Architekt
Bauke, Hermann | 1886–1928 | Theologe; Pfarrer; Patristiker; Hochschullehrer
LASH Abt. 268 Nr. 32: Resignation von Kanonikaten
LASA, A 14, Nr. 271: In causa contra fiscum regium, wegen der Strafe für die Hüneckesche Prezistenpräbende
Schulze, Johann Ludwig | 1734–1799 | Orientalist; Evangelischer Theologe; Philologe; Hochschullehrer; Direktor
Hoffmann, Friedrich | 1660–1742 | Arzt; Chemiker; Hochschullehrer
LASA, A 14, Nr. 115: Ordnung der Majorherren und ihre Stellung nach geendigten elditisch-fürstenbergischen Prozessen
Schuchardt, Hugo | 1842–1927 | Philologe; Romanist; Linguist; Hochschullehrer
Spener, Jacob Carl | 1684–1730 | Jurist; Historiker; Hochschullehrer
LASA, A 14, Nr. 303: Rang des Herrn von Byern vor den Herren von Bucholz und von Rochow
Lindrath, Hermann | 1896–1960 | Bundesminister; Politiker; Bankkaufmann; Staatswissenschaftler; Hochschullehrer
Jahn, Martin | 1888–1974 | Historiker; Prähistoriker
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
Rosenbaum, Georg August Wilhelm Julius | 1807–1874 | Arzt
Kirchhoff, Alfred | 1838–1907 | Pädagoge; Geograf; Hochschullehrer
LASA, A 14, Nr. 202: Wahl des Dechanten von Alvensleben
LASH Abt. 268 Nr. 408: Protocollum causarum capitularium ecclesie Lubicensis
Goeters, Wilhelm | 1878–1953 | Kirchenhistoriker; Hochschullehrer
Hildebrandt, Hermann | 1866–1912-09 | Arzt
Scholder, Rudolf | 1896–1973 | Chemiker; Hochschullehrer
Bartholomae, Christian | 1855–1925 | Iranist; Linguist; Orientalist
Ontology of historical German-language official and occupational titles
OhdAB is a classification system for activities and requirement levels in professional situations, developed on the basis of historical occupational titles. The system comprises a five-level hierarchical classification model, ranging from a broad summary of ten occupational areas to a very fine-grained distinction between approximately 1,900 occupational categories. At the same time, approximately 46,000 occupational names are standardised, with each name given in a gender-neutral, female and male spelling. The taxonomy is available in both German and English, with the historical occupational titles translated using Deepl and only partially adapted. FactGrid also offers other languages, which were also generated using AI technologies. The OhdAB system is fundamentally based on the 2010/20 classification of occupations by the Federal Employment Agency [KldB 2010 – Statistics of the Federal Employment Agency (Federal Employment Agency 2021)]. OhdAB has based its methodology on the KldB for recording and measuring similarities between occupational activities on the basis of skills and professional expertise on the one hand and requirement levels on the other. This enables a comparison between historical and modern occupational worlds and the linking of modern national and international standards. At the same time, KldB 2010 establishes concordance with the international standard ISCO-08 ([https://ilostat.ilo.org/methods/concepts-and-definitions/classification-occupation/ ISCO]), older versions of KldB and other relevant vocabularies and analysis tools. It also provides a translation of modern occupational standard designations into English.
OhdAB ist ein Klassifikationssystem von Tätigkeit und Anforderungsniveaus in beruflichen Situationen, das auf quellenbasierter Grundlage historischer Ständebezeichnungen entwickelt wurde. Das Angebot umfasst ein fünfstufiges hierarchisches Klassifikationmodell von einer starken Zusammenfassung in zehn Berufsbereichen bis zu einer sehr feingranularen Unterscheidung in ca. 1.900 Berufsgattungen. Gleichzeitig erfolgt eine Normierung von ca. 46.000 Berufsnamen, deren Schreibung jeweils in einer geschlechtsübergreifenden, einer weiblichen und einer männlichen Schreibweise wiedergegeben werden. Die Taxonomie liegt komplett in deutscher und englischer Sprache vor, wobei die historischen Berufsbezeichnungen mit Deepl übersetzt und nur zum Teil angepasst wurden. In FactGrid liegen noch weitere Sprachen vor, die ebenfalls mit KI-Technologien erzeugt wurden. Grundlegend basiert das System der OhdAB auf der Klassifikation der Berufe 2010/20 der Bundesagentur für Arbeit [KldB 2010 - Statistik der Bundesagentur für Arbeit (Bundesagentur für Arbeit 2021)]. Dabei hat sich OhdAB an der Methodik, an der Erfassung und Messung von Ähnlichkeiten beruflicher Tätigkeiten auf der Grundlage von einerseits Kompetenzen und Berufsfachlichkeit sowie andererseits von Anforderungsniveaus an der KldB orientiert. Dies ermöglicht einen Vergleich zwischen historischen und modernen Berufswelten und die Anbindung des modernen nationalen und internationalen Standards. Gleichzeitig stellt die KldB 2010 ihrerseits die Konkordanz zum internationalen Standard ISCO-08 ([https://ilostat.ilo.org/methods/concepts-and-definitions/classification-occupation/ ISCO]), ältere Varianten der KldB sowie weiterer relevanter Vokabulare und Analysewerkzeuge her. Zudem leistet sie eine Übersetzung der modernen Berufsnormbezeichnungen in die englische Sprache.
Historisches Datenzentrum Sachsen-Anhalt | Halle (Saale)
Ontologie der historischen, deutschsprachigen Amts- und Berufsbezeichnungen
Meusel, Hermann | 1909–1997 | Botaniker; Biologe
LASH Abt. 268 Nr. 455: Manual-Protokolle
Elchlepp, Friedrich Wilhelm | 1897–1956 | Lehrer
Friedländer, Paul | 1882–1968 | Philologe; Klassischer Philologe; Hochschullehrer
Bramann, Fritz Gustav von | 1854–1913 | Arzt; Chirurg
Goldschmidt, Adolph | 1863–1944 | Kunsthistoriker; Hochschullehrer
Anschütz, August | 1826–1874 | Jurist; Hochschullehrer
Bühler, Ottmar | 1884–1965 | Jurist; Wirtschaftsjurist; Hochschullehrer
Hausen, Carl Renatus | 1740–1805 | Historiker; Bibliothekar; Hochschullehrer
Haecker, Valentin | 1864–1927 | Zoologe; Genetiker; Hochschullehrer
Beneke, Rudolf | 1861–1946 | Pathologe; Arzt; Hochschullehrer
LHAS, (2.12-3/1-1) 10: Archiv des Schwerinschen Stifts
LHAS, (2.12-3/1-1) 108: Höfe und Kurien der Domkapitulare in Schwerin
LHAS, (2.12-3/1-1) 99: Gravamina des Schweriner Domkapitels
LHAS, (2.12-3/1-1) 152: Entwurf zu einem Statut für das (evangelische) Bistum Schwerin
LHAS, (2.12-3/1-1) 162: Notizen G. C. F. Lischs zur Bistumsgeschichte, besonders zur Personengeschichte, und zum Stift Bützow
LHAS, (2.12-3/1-1) 111: Geheimbuch des Schweriner Domkapitels
LHAS, (2.12-3/1-1) 13: Beneficia: Präbenden und Vikarien des Schwerinschen Stifts
LHAS, (2.12-3/1-1) 44: Angelegenheiten der Domherren
LHAS, (2.12-3/1-1) 47: Verschiedene Streitigkeiten um die Schulden des Domdekans Ulrich Wackerbarth
LHAS, (2.12-3/1-1) 66: Canonici - Stellenbesetzungen, auch durch kaiserliche Erste Bitten
LHAS, (2.12-3/1-1) 46: Die Dekanatsgefälle des Ulrich Wackerbarth und das Gut Rampe
LHAS, (2.12-3/1-1) 65: Canonici - Schweriner Domherren, ihre Aufnahme und Hebungen
Härtel, Fritz | 1877–1940 | Chirurg; Arzt; Hochschullehrer; Schiffsarzt; Militärarzt
Jahn, Wilhelm | 1873–[XXXX] | Orientalist; Dozent
Muhs, Karl | 1891–1954 | Wirtschaftswissenschaftler
Cantor, Georg | 1845–1918 | Mathematiker
Lamprecht, Georg Friedrich von | 1759–1810 | Jurist; Wirtschaftswissenschaftler; Hochschullehrer; Selbstverleger
Liepmann, Moritz | 1869–1928 | Jurist; Hochschullehrer; Richter
Kraatz-Koschlau, Karl von | 1867–1900 | Geologe
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.
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. 449: Protokollum rev. capituli Lubicensis: Band 46
LASA, A 14, Nr. 299: Vom König dem Grafen von Bentheim erteilte Anwartung zu einer Präbende
Meckel, Johann F. | 1781–1833 | Arzt; Anatom; Chirurg; Zoologe
Albrecht, Otto | 1855–1855 | Pfarrer; Evangelischer Theologe; Kirchenhistoriker
Sierp, Hermann | 1885–1958 | Botaniker; Hochschullehrer
LASA, A 13, Nr. 1123: Den numerum und die Namen der Elekten bei dem Dom allhier, auch welcher Religion dieselben zugetan sind
LASH Abt. 268 Nr. 440: Protokollum rev. capituli Lubicensis: Band 37
Hadermann, Ernst | 1896–1968 | Germanist; Literarhistoriker
LASH Abt. 268 Nr. 424: Protokollum rev. capituli Lubicensis
LASH Abt. 268 Nr. 446: Protokollum rev. capituli Lubicensis: Band 43
Köstlin, Julius | 1826–1902 | Evangelischer Theologe
Bode, Hugo | 1851–1937 | Agrarwissenschaftler; Landwirt; Hochschullehrer; Major; Hauptmann
Köthner, Paul | 1870–1932 | Chemiker; Freimaurer
Haußleiter, Otto | 1896–1982 | Staatswissenschaftler; Jurist; Ministerialrat; Hochschullehrer
Diehl, Karl | 1864–1943 | Volkswirt; Wirtschaftswissenschaftler; Staatswissenschaftler
Heilbronner, Karl | 1869–1914 | Psychiater
Guericke, Heinrich Ernst Ferdinand | 1803–1878 | Evangelischer Theologe; Kirchenhistoriker; Hochschullehrer
Kohlmeyer, Ernst | 1882–1959 | Evangelischer Theologe; Hochschullehrer; Kirchenhistoriker; Pfarrer; Militärgeistlicher
Bärensprung, Friedrich Wilhelm Felix von | 1822–1864 | Hautarzt; Arzt
Bärensprung, Friedrich Wilhelm Felix von
Bernstein, Rudolf | 1880–1971 | Konstrukteur; Maschinenbaumechaniker; Dozent
Niese, Benedikt | 1849–1910 | Historiker; Althistoriker; Klassischer Philologe; Hochschullehrer
Lütgert, Wilhelm | 1867–1938 | Evangelischer Theologe; Neutestamentler; Rektor; Hochschullehrer
Eberth, Carl Joseph | 1835–1926 | Arzt; Pathologe; Anatom; Hochschullehrer
Schirmer, Otto | 1864–1917 | Augenarzt; Arzt
Jordan, Rudolf | 1902–1988 | Politiker; Gauleiter; Reichsstatthalter; Lehrer
Rothstein, Johann Wilhelm | 1853–1926 | Alttestamentler; Theologe
Nicolaisen, Wilhelm | 1901–1973 | Agrarwissenschaftler; Hochschullehrer
Bosch, Clemens Emin | 1899–1955 | Philologe; Althistoriker; Numismatiker; Hochschullehrer
Conrad, Johannes | 1839–1915 | Wirtschaftswissenschaftler
Olshausen, Robert | 1835–1915 | Arzt; Gynäkologe
Baethgen, Friedrich | 1849–1905 | Theologe; Alttestamentler
Klatt, Berthold | 1885–1958 | Zoologe; Biologe; Hochschullehrer
Buchda, Gerhard | 1901–1977 | Jurist; Historiker; Hochschullehrer; Zoologe
Seeberg, Erich | 1888–1945 | Evangelischer Theologe; Kirchenhistoriker; Neutestamentler; Militärgeistlicher; Hochschullehrer
Ritschl, Otto | 1860–1944 | Evangelischer Theologe; Hochschullehrer
Anderssen, Walther | 1882–1965 | Jurist; Hochschullehrer
Rudorf, Wilhelm | 1891–1969 | Pflanzenzüchter; Agrarwissenschaftler; Hochschullehrer
Nicolai, Gottlob Samuel | 1725–1765 | Evangelischer Theologe; Hochschullehrer; Pfarrer; Gymnasiallehrer
Haasler, Fritz | 1863–1948 | Arzt; Chirurg; Hochschullehrer; Militärarzt
Pönitz, Karl | 1888–1973 | Neurologe; Psychologe; Hochschullehrer
Holländer, Ludwig Heinrich | 1833–1897 | Arzt; Zahnarzt
LASH Abt. 268 Nr. 19: Turnus in Kanonikaten
LASH Abt. 268 Nr. 445: Protokollum rev. capituli Lubicensis: Band 42
Büchsel, Friedrich | 1883–1945 | Evangelischer Theologe; Hochschullehrer
Fritsch, Karl von | 1838–1906 | Geologe; Paläontologe; Mineraloge
Fricke, Johann Heinrich | 1740–1775 | Jurist; Privatdozent
Madihn, Georg Samuel | 1729–1784 | Jurist
Lehmann, Arno | 1901–1984 | Religionswissenschaftler; Missionar; Pfarrer; Hochschullehrer
Kemme, Johann Christlieb | 1738–1815 | Arzt; Bibliothekar
Laqueur, Ernst | 1880–1947 | Pharmakologe; Physiologe; Hochschullehrer
Schenck, Günther Otto | 1913–2003 | Chemiker; Hochschullehrer
Schnabel, Paul | 1887–1947 | Historiker; Althistoriker; Altorientalist; Lehrer; Hochschullehrer
Jung, Heinrich W. E. | 1876–1953 | Mathematiker; Hochschullehrer
Roemer, Theodor | 1883–1951 | Agrarwissenschaftler; Hochschullehrer
Schranil, Rudolf | 1885–1956 | Jurist; Hochschullehrer
Galling, Kurt | 1900–1987 | Evangelischer Theologe; Archäologe; Hochschullehrer
Seiser, Adolf | 1891–1971 | Bakteriologe; Arzt; Militärarzt; Hochschullehrer; Hygiene
Mrugowsky, Joachim | 1905–1948 | Arzt; Biologe; Botaniker
Baehrens, Wilhelm Adolf | 1885–1929 | Klassischer Philologe; Hochschullehrer
Dreher, Eugen | 1841–1900 | Naturwissenschaftler; Philosoph
Friedländer, Carl | 1847–1887 | Arzt; Pathologe; Mikrobiologe; Bakteriologe
Grüttner, Adalbert | 1881–1929 | Pädagoge; Mathematiker; Physiker; Lehrer; Hochschullehrer
LASA, A 14, Nr. 243: Dem von Bredow erteilte Expektanz
Lang, August | 1867–1945 | Pfarrer; Evangelischer Theologe; Kirchenhistoriker; Seelsorger; Superintendent
Anthes, Rudolf | 1896–1985 | Ägyptologe; Kurator <Museumskunde>; Hochschullehrer
Böhmer, Gerhard | 1879– | Agrarwissenschaftler; Hochschullehrer; Beamter
Budde, Werner | 1886–1960 | Arzt; Chirurg; Militärarzt; Hochschullehrer
Lilienthal, Karl von | 1853–1927 | Jurist
Laatsch, Willi | 1905–1997 | Botaniker; Geologe; Bodenkundler
Gutzeit, Ernst | 1863–1927 | Agrarwissenschaftler; Hochschullehrer; Lebensmittelchemiker
Heine, Eduard | 1821–1881 | Mathematiker
LASA, A 14, Nr. 289: Resignation der Minorpräbende des katholischen Herrn von Sickingen
Ostrow-Ostrowsky, Martin von | Mathematiker
Meumann, Ernst | 1862–1915 | Psychologe; Pädagoge; Philosoph
Stein, Karl Heinrich von | 1857–1887 | Philosoph; Schauspieler; Herausgeber
Dahm, Georg | 1904–1963 | Jurist; Hochschullehrer
Grote, Louis Ruyter Radcliffe | 1886–1960 | Arzt; Hochschullehrer; Internist; Militärarzt
Mackenroth, Gerhard | 1903–1955 | Sozialwissenschaftler; Volkswirt; Hochschullehrer
Ebbinghaus, Hermann | 1850–1909 | Psychologe; Philosoph; Hochschullehrer
Schütz, Friedrich Karl Julius | 1779–1844 | Schriftsteller; Historiker; Philosoph; Hochschullehrer; Schauspieler; Theaterdirektor
LASA, A 14, Nr. 268: Erhandlung der domkapitularischen Erbpräbende für Herrn von Pannewitz
Grimm, Wilhelm | 1786–1859 | Philologe; Germanist; Schriftsteller; Jurist; Bibliothekar; Literaturwissenschaftler
Kuhn, Oskar | 1908–1990 | Paläontologe; Geologe; Hochschullehrer; Schriftsteller
Rüdiger, Johann Christian Christoph | 1751–1822 | Linguist; Hochschullehrer
Fitting, Hermann | 1831–1918 | Jurist; Hochschullehrer
Kautzsch, Emil | 1841–1910 | Alttestamentler; Hochschullehrer; Evangelischer Theologe; Hebraist
Sellheim, Hugo | 1871–1936 | Gynäkologe; Hochschullehrer
Jakob, Ludwig Heinrich von | 1759–1827 | Staatswissenschaftler; Wirtschaftswissenschaftler; Soziologe; Philosoph
Cobet, Rudolf | 1888–1964 | Arzt; Internist
Brandt, Georg | 1895–1968 | Arzt; Chirurg; Orthopäde; Hochschullehrer
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
Francke, Gotthilf August | 1696–1769 | Evangelischer Theologe; Pfarrer; Hochschullehrer; Gymnasiallehrer; Schulleiter
Scheffer, Fritz | 1899–1979 | Agrarwissenschaftler; Hochschullehrer; Bodenkundler
Martin-Luther-Universität Halle-Wittenberg
Hertwig, Paula | 1889–1983 | Biologin; Zoologin; Genetikerin
Diehl, Ernst | 1874–1947 | Klassischer Philologe; Hochschullehrer
Steltzer, Christian Julius Ludwig | 1758–1831 | Jurist
LASA, A 14, Nr. 258: Seniorateinkünfte, in specie die deshalb zwischen dem Senior vom Kannenberg und dem Subsenior von Neindorf entstandenen Streitigkeiten
Gruner, Johann Friedrich | 1723–1778 | Theologe; Pädagoge; Historiker
Heynemann, Theodor | 1878–1951 | Arzt; Gynäkologe
Aschaffenburg, Gustav | 1866–1944 | Psychiater; Arzt
Schlier, Heinrich | 1900–1978 | Neutestamentler; Patristiker; Katholischer Theologe; Hochschullehrer
Perels, Emil | 1837–1893 | Ingenieur; Hochschullehrer
Dold, Hermann | 1882–1962 | Bakteriologe; Hochschullehrer; Arzt; Militärarzt
Alberti, Heinrich Christian | 1722–1782 | Arzt
Kaltenbach, Rudolf | 1842–1893 | Gynäkologe
Stäckel, Paul | 1862–1919 | Mathematiker
Ludewig, Johann Peter von | 1670–1743 | Jurist; Historiker; Theologe; Staatsrechtslehrer; Hochschullehrer; Politiker; Philosoph
Geldner, Karl F. | 1852–1929 | Indologe; Orientalist
Bernstein, Julius | 1839–1917 | Physiologe; Arzt; Hochschullehrer
Hasse, Helmut | 1898–1979 | Mathematiker; Hochschullehrer; Astronom
Hinsche, Georg | 1888–1951 | Wissenschaftler; Geisteswissenschaftler; Naturwissenschaftler; Arzt; Zoologe; Biologe; Pädagoge; Lehrer; Hochschullehrer
Heisler, Philipp Jakob | 1718–1781 | Jurist
Reuter, Fritz | 1896–1963 | Komponist; Musikwissenschaftler; Herausgeber; Dirigent; Komponist; Dramaturg
Grasshoff, Kurt | 1911– | Lehrbeauftragter
Barnikol, Ernst | 1892–1968 | Evangelischer Theologe; Kirchenhistoriker; Hochschullehrer
Piersig, Johannes | 1907–1998 | Komponist; Organist; Kirchenmusiker; Jurist; Arrangeur; Herausgeber
Peucker, Johann Georg Gottlieb | 1764–1830 | Philologe
Freudl, E. | 1875–1951 | Landwirt; Pflanzenzüchter; Agrarwissenschaftler
Luedecke, Otto | 1851–1910 | Geologe; Mineraloge
Hessler, Hugo | 1850–1920 | Arzt; Militärarzt
Herzfeld, Hans | 1892–1982 | Historiker; Hochschullehrer
Jecht, Horst | 1901–1965 | Volkswirt; Hochschullehrer
LASA, A 14, Nr. 111: Sammlung von Nachrichten über die Statuten und Observanzen bei Aufnahme der Kapitularen und Elekten
Solger, Bernhard Friedrich | 1849–1935 | Arzt
LASA, A 14, Nr. 281: Resignation des Herrn von Voss auf Ernst Ludwig Christoph Spiegel zum Diesenberg
Stange, Carl | 1870–1959 | Lutherischer Theologe
Mencken, Johann Kaspar Ludwig | 1752–1795 | Jurist
LASH Abt. 268 Nr. 542: Chronologischer Index zu den Bänden 35-42 des Kapitels-Protokolle (Nr. 438-445)
Brode, Reinhold | 1856–1929 | Historiker; Lehrer
Hartung, Fritz | 1884–1973 | Jurist; Hochschullehrer; Richter; Beisitzer
Sievers, Eduard | 1850–1932 | Germanist; Linguist; Mediävist; Hochschullehrer; Germanist
Scupin, Hans | 1869–1937 | Geologe; Mineraloge; Hochschullehrer
Meyer, Ludwig | 1894–1964 | Bodenkundler; Hochschullehrer
Loofs, Friedrich | 1858–1928 | Lutherischer Theologe; Kirchenhistoriker; Hochschullehrer; Konsistorialrat; Rektor
Husserl, Edmund | 1859–1938 | Philosoph; Hochschullehrer
Frischeisen-Köhler, Max | 1878–1923 | Philosoph; Psychologe; Pädagoge
Herrnschmidt, Johann Daniel | 1675–1723 | Evangelischer Theologe; Hochschullehrer; Pfarrer; Superintendent; Hofprediger; Kirchenlieddichter; Schulleiter
Gärtner, Robert | 1894–1951 | Agrarwissenschaftler; Tierzüchter
Medicus, Fritz | 1876–1956 | Philosoph; Pädagoge
LASH Abt. 268 Nr. 435: Protokollum rev. capituli Lubicensis: Band 32
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.
Frese, Otto | 1871–1955 | Arzt; Schiffsarzt; Militärarzt; Hochschullehrer
Noack, Erwin | 1899–1967 | Rechtsanwalt; Notar; Funktionär; Nationalsozialist
LASH Abt. 268 Nr. 450: Protokollum rev. capituli Lubicensis: Band 47
Karsten, George | 1863–1937 | Botaniker; Hochschullehrer
Ewerbeck, Christian Gottfried | 1761–1837
Freyberg, Bruno von | 1894–1981 | Geologe; Paläontologe; Wissenschaftshistoriker; Hochschullehrer
Aner, Karl | 1879–1933 | Theologe; Hochschullehrer; Pfarrer
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.
Grenacher, Hermann | 1843–1923 | Zoologe
Igersheimer, Josef | 1879–1965 | Augenarzt
LASH Abt. 268 Nr. 472: Manual-Protokolle
Abderhalden, Emil | 1877–1950 | Chemiker; Biologe; Physiologe; Biochemiker; Hochschullehrer
Schleiermacher, Friedrich | 1768–1834 | Evangelischer Theologe; Pädagoge; Übersetzer; Philosoph; Hochschullehrer; Prediger; Schriftsteller
LASH Abt. 268 Nr. 15: Distinktpräbende des Gesandten in Regensburg, Konferenzrat von Koch
Marek, Gustav | 1840–1896 | Agrarwissenschaftler; Physiologe
Hauptmann, Alfred | 1881–1948 | Arzt; Psychiater; Militärarzt; Hochschullehrer
Dohna, Alexander zu | 1876–1944 | Jurist; Burggraf
LASA, A 14, Nr. 130: Nachjahrsrevenuen der Präbendaten
Steinbrück, Karl | 1869–1932 | Agrarwissenschaftler; Politiker; Hochschullehrer
Matzen, Peter Friedrich | 1909–1986 | Arzt; Orthopäde; Chirurg
Crüger, Hans | 1859–1927 | Jurist; Politiker
Jantzen, Hans | 1881–1967 | Kunsthistoriker; Hochschullehrer
Grouven, Karl | 1872–1936 | Arzt; Hautarzt; Militärarzt; Hochschullehrer
LASA, A 13, Nr. 1135, Die in mense capituli vakant gewordenen Präbenden bei dem Domstift zu Halberstadt
Schmitz, Friedrich Karl Johann | 1850–1895 | Botaniker
Heinzelmann, Gerhard | 1884–1951 | Lutherischer Theologe; Pfarrer; Hochschullehrer
Koeppe, Leonhard | 1884–1969 | Augenarzt; Hochschullehrer
Elster, Ludwig | 1856–1935 | Verwaltungsbeamter; Hochschullehrer; Volkswirt; Ministerialrat
LASH Abt. 268 Nr. 432: Protokollum rev. capituli Lubicensis: Band 29
Droysen, Gustav | 1838–1908 | Historiker; Hochschullehrer
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
Bathe, Johann Christoph | 1754–1818 | Jurist
LASA, A 14, Nr. 67: Provisiones und Emanzipationes, zum Teil in original, zum Teil in copia
Müller, Otto | 1885–1964 | Elektroingenieur; Physiker; Hochschullehrer
Isele, Hellmut Georg | 1902–1987 | Jurist; Hochschullehrer
LASA, A 14, Nr. 201: Wahl, Introduktion, Residenz und Resignation des Domdechanten Christian Friedrich Grafen zu Stollberg [so!]
Kaehler, Siegfried A. | 1885–1963 | Historiker; Hochschullehrer
Böhmer, Eduard | 1827–1906 | Theologe; Romanist; Bibliothekar
Lorenz, Hans | 1865–1940 | Ingenieur; Mechaniker
LASA, A 14, Nr. 245 Bd. 1: Domkapitularische, olim mecklenburgische, dann kurprinzliche Erbpräbende, deren Erhandlung und nachherige Kollation
Lange, Johann Joachim | 1699–1765 | Mathematiker; Philosoph; Mineraloge
Frölich, Gustav | 1879–1940 | Agrarwissenschaftler; Hochschullehrer
Roloff, Friedrich Heinrich | 1830–1885 | Tierarzt
Grünfeld, Ernst | 1883–1938 | Wirtschaftswissenschaftler; Sozialwissenschaftler; Hochschullehrer
Klostermann, Erich | 1870–1963 | Patristiker; Theologe; Klassischer Philologe; Geistlicher; Hochschullehrer
Heinroth, Hans | 1895–1983 | Zahnarzt; Arzt; Hochschullehrer
Mie, Gustav | 1868–1957 | Physiker; Dozent; Hochschullehrer
LASA, A 13, Nr. 1112: Verzeichnis der am 21.01.1636 im Kapitel gewesenen Domherrn, nebst Anzeige wie sie zu ihren Präbenden gekommen sind
Nachtweh, Alwin | 1868–1939 | Ingenieur; Techniker
Rachfahl, Felix | 1867–1925 | Historiker
Baumgarten, Alexander Gottlieb | 1714–1762 | Philosoph; Hochschullehrer
Henze, Alfred | 1872– | Naturwissenschaftler
Lindner, Theodor | 1843–1919 | Historiker; Geheimer Rat; Lehrer; Hochschullehrer
Hildebrand, Karl | 1873– | Wirtschaftswissenschaftler
Grötzsch, Herbert | 1902–1993 | Mathematiker
Beyer, Albert Kurt | 1907–1956 | Geologe
Lesser, Ernst | 1879–1928 | Physiologe; Internist; Biochemiker
Hoffmann, Walter | 1891–1972 | Wirtschaftswissenschaftler
Heuckenkamp, Ferdinand | 1862–1938 | Romanist; Philologe
Eisenhart, Hugo | 1811–1893 | Wirtschaftswissenschaftler; Staatswissenschaftler
LASH Abt. 268 Nr. 421: Protokollum rev. capituli Lubicensis
Schering, Arnold | 1877–1941 | Musikwissenschaftler; Hochschullehrer; Musikkritiker; Herausgeber; Komponist
Schmidt, Hans | 1877–1953 | Alttestamentler; Pfarrer; Hochschullehrer; Evangelischer Theologe; Offizier; Kriegsteilnehmer; Kriegsgefangener
Jolly, Philipp | 1860–1932 | Arzt; Neurologe; Schiffsarzt; Militärarzt
Ruville, Albert von | 1855–1934 | Historiker; Hochschullehrer
Lehmann, Emil | 1881–1981 | Geologe; Mineraloge; Vulkanologe; Hochschullehrer
Ersch, Johann Samuel | 1766–1828 | Bibliothekar; Bibliograf; Lexikograf; Literarhistoriker; Hochschullehrer
Erismann, Theodor | 1883–1961 | Psychologe; Hochschullehrer; Philosoph
Solms-Laubach, Hermann zu | 1842–1915 | Botaniker; Hochschullehrer
Reinhold, Hermann | 1893–1940 | Chemiker; Hochschullehrer
Erdmann, Johann Eduard | 1805–1892 | Philosoph; Pfarrer; Schriftsteller; Psychologe; Hochschullehrer
Balthasar, Karl | 1868–1937 | Pfarrer; Organist; Lehrer
Froriep, Ludwig Friedrich von | 1779–1847 | Arzt; Chirurg; Hochschullehrer; Verleger
Knoblauch, Karl Hermann | 1820–1895 | Physiker; Hochschullehrer
Springmeyer, Heinrich | 1897–1971 | Philosoph
Credner, Rudolf | 1850–1908 | Geograf; Geologe; Physiker; Hochschullehrer
Rambach, Johann Jakob | 1693–1735 | Evangelischer Theologe; Kirchenlieddichter; Pfarrer; Superintendent; Hochschullehrer; Schulleiter
Kern, Otto | 1863–1942 | Philologe; Klassischer Philologe; Hochschullehrer; Bibliothekar
Justi, Ludwig | 1876–1957 | Kunsthistoriker; Generaldirektor; Denkmalpfleger; Geheimer Rat; Kurator <Museumskunde>
Nuehsmann, Theodor | 1885–1962 | Arzt; Hochschullehrer
Institut für Biologische Grenzflächen (IBG), Karlsruher Institut für Technologie (KIT)
TopSpin NMR Data and Python Processing for Figures 1-3
Single-Scan Detection of Ligand-Binding using Hyperpolarization and Low-field Relaxation (Datasets)
Institut für Angewandte Materialien – Energiespeichersysteme (IAM-ESS), Karlsruher Institut für Technologie (KIT)
The dataset include the raw data and proceeded data as well as plotted Figures, which can be easily re-used.
Mg2+ Regulated Hydrated Vanadium Oxide Positive Electrode for Aqueous Mg-Ion Batteries
The code and data in this repository is linked to the research article: "High-Resolution Spatiotemporal Monitoring of Secondary Microseisms via Multi-Array Analysis, Gao, Y., Rietbrock, A., Tilmann, F., Dushi, E., Geophysical Journal International (2025, under revision) This data repository contains the following files and subdirectories: Beamforming: Hinet: Slowness_data_hourly: beampower data and backprojection distance_baz_slowness_*: distance and back azimuth from the global grid to the center of network assuming seismic phase, e.g. P or PKP Step1_beamforming_hourly.py: beamforming code for the cross-correlation data (data can be obtained on request) Step2_beamforming.ipynb: plot the beamforming from step1 Step3_backprojection.py: backprojection to generate distance_baz_slowness_* ANTICS (SCSN) Slowness_data_hourly: beampower data and backprojection distance_baz_slowness_*: distance and back azimuth from the global grid to the center of network assuming seismic phase, e.g. P or PKP Waveheight: https://data.marine.copernicus.eu/product/GLOBAL_ANALYSISFORECAST_WAV_001_027/services or !motuclient --motu https://nrt.cmems-du.eu/motu-web/Motu --service-id GLOBAL_ANALYSISFORECAST_WAV_001_027-TDS --product-id cmems_mod_glo_wav_anfc_0.083deg_PT3H-i --date-min 2022-11-18 00:00:00 --date-max 2022-11-1 WWIII: surface spectral density F_5_10s_glob: Equivalent force calculated using WMSAN https://github.com/lystom/WMSAN Summary_dailyplot_hourly_withwwiii3.py: plot the multi-array beamforming and compare with significant waveheight, surface spectral density, and P wave equivalent force on the ocean floor CCF: Is an empty dir but should store the cross-correlation data in ASDF format, due to the large size of dataset, the data could be obtained on request.
Workflow for multi-array beamforming in seismology to detect ocean microseism
Institut für Prozessdatenverarbeitung und Elektronik (IPE), Karlsruher Institut für Technologie (KIT)
The dataset follows the directory structure MACHINE/MEASUREMENT/VALUES_PER_YEAR, with all files compressed in .csv.xz format for space-efficient storage. Each data file contains the columns WsDateTime and the corresponding MEASUREMENT values. The accompanying validation folder mirrors this structure and includes, for each dataset, a _stats.csv file summarizing statistical metrics (mean, standard deviation, and quantiles) and a _missing.csv file detailing missing data, gap lengths, and data availability.
This dataset comprises high-resolution electricity measurements from 22 industrial machines - including mills, lathes, chip presses, and pumps - as well as a photovoltaic system, recorded at a 5-second sampling rate over periods ranging from one to seven years. The measurements were collected at the Campus North of the Karlsruhe Institute of Technology and include detailed electrical quantities such as voltages, currents, active and reactive power, harmonics, total harmonic distortion, and frequency. This dataset provides a comprehensive basis for research on industrial energy analytics, power quality, and flexibility assessment.
SPARK: High-Resolution Energy Data from a Sustainable Industrial Production Area in Karlsruhe
Institut für Programmstrukturen und Datenorganisation (IPD), Karlsruher Institut für Technologie (KIT)
SPARK-Raw provides unprocessed, high-resolution electricity measurements from 22 industrial machines - including mills, lathes, chip presses, and pumps - and a photovoltaic system, recorded at a 5-second sampling rate over one to seven years. Collected at the Campus North of the Karlsruhe Institute of Technology, the dataset includes detailed electrical quantities such as voltages, currents, active and reactive power, harmonics, total harmonic distortion, and frequency. In contrast to the curated and quality-checked SPARK dataset, SPARK-Raw contains the original, unfiltered measurements in their full temporal and structural detail, offering a transparent foundation for data cleaning, preprocessing, and validation in industrial energy analytics research.
The dataset follows the directory structure MACHINE/MEASUREMENT/VALUES_PER_YEAR, with all files compressed in .csv.xz format for space-efficient storage.
SPARK-Raw: Unprocessed High-Resolution Energy Data from a Sustainable Industrial Production Area in Karlsruhe
Okinawa Institute of Science and Technology Graduate University(OIST)
Processed micro-tomographic scan of the ant Camponotus sexpunctatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with 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 weitzeckeri, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
chemical composition analysis, electron microscopy, high spatial resolution, layer-by-layer growth, surface-anchored metal–organic frameworks, zeolitic imidazolate framework-8
Production Data for Publication: Direct Synthesis of ZIF‐8 on Transmission Electron Microscopy Grids Allows Structure Analysis and 3D Reconstruction
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 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.
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 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.
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
Bundesministerium für Verkehr, Bau‐ und Stadtentwicklung
Die dieser Veröffentlichung zugrunde liegenden Arbeiten wurden im Auftrag des Bundesministers für Verkehr und digitale Infrastruktur unter FE-Nr. 70.0813/2007 durchgeführt. Die Verantwortung für den Inhalt liegt ausschließlich beim Autor.
Deutsches Mobilitätspanel (MOP) - Statistiken zur Alltagsmobilität sowie zu Fahrleistung und Kraftstoffverbrauch 2000 - 2009
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.
Derived from IMK/IAA MIPAS/Envisat monthly mean trace gas fields using the ANCISTRUS direct inversion method (von Clarmann & Grabowski, 2016, 2021), this dataset provides effective meridional and vertical transport velocities and eddy diffusion coefficients in the middle atmosphere. Effective velocities include advection and mixing effects and are not equivalent to TEM residual circulation velocities. Uncertainties are represented as standard deviations derived from the variance estimates output by ANCISTRUS.
KIT ANCISTRUS MIPAS L3 effective transport velocities dataset, v1.0
Institut für Photogrammetrie und Fernerkundung
The published dataset contains images and masks related to the research article with the title "Segmentation of Industrial Burner Flames: A Comparative Study from Traditional Image Processing to Machine and Machine and Deep Learning". The original dataset, which our version of the dataset is based on, can be found here: https://zenodo.org/record/4453599
Dataset for the Segmentation of Industrial Burner Flames
Processed micro-tomographic scan of the ant Formicoxenus nitidulus, scanned at KIT Light Source. This dataset is part of 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 milling operations performed on a three-axis milling machine (CMX 600V, DMG Mori), complementing DOI:10.35097/hvvwn1kfwf7qt48z. To reflect the diversity and variability of real-world milling scenarios, the dataset includes components, tools and machining strategies that are relevant to the industry. A total of 54 milling experiments are included. To support reproducibility and benchmarking applications, the dataset includes NC programs, labelled pictures, 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 milling operations performed on a three-axis milling machine (CMX 600V, DMG Mori) and is complementary to DOI:10.35097/hvvwn1kfwf7qt48z. The data was collected in a controlled laboratory setting using industrially relevant components, tools, and machining strategies to reflect the diversity and variability of practical milling scenarios. Process signals from the machine controller were recorded using a Siemens Industrial Edge device at a sampling rate of 500 Hz. Additional high-frequency force and acceleration data were measured using a force platform (Kistler Type Z 3393) and a spindle-mounted acceleration sensor (PCB Type 356A33). The analog signals were amplified via a charge amplifier (Kistler Type 5015A1000 K) and acquired using a Data Translation DT9836 data acquisition card at 10 kHz. Raw data from the force and acceleration sensors are provided as MATLAB timetable files (.mat). The process signals from the Siemens Industrial Edge are stored in JSON format (.json). In addition, each experiment includes a consolidated MATLAB file in which all available signals (Edge and sensor data) are temporally aligned and stored as a single timetable object. To achieve this, the 500 Hz Edge signals were interpolated using the PCHIP method (Piecewise Cubic Hermite Interpolating Polynomial) to match the 10 kHz resolution of the sensor data. This unified file enables direct signal comparison across all sources and simplifies further analysis. In total, 54 milling experiments are included. NC programs, labeled pictures, and detailed documentation are provided to support benchmarking applications. -------------------------------------------------------------------------------------------------------------------------- Documents: - Dataset: All data files organized by component type and trial ID - Descriptive: Design of Experiment, NC programs executed during the experiments (G-code), labeled pictures organized by component type and tools Experimental Setup: - Machines: CMX 600V (3-axis milling center) - Materials: S235JR (unalloyed structural steel), Al2007 T4 (aluminum alloy), POM-C (polyoxymethylene copolymer) - Cutting Tools: - HSS-Co8 end mill (TiAlN coating, Ø 5 mm, k10 tolerance) - Solid carbide end mill (TiSi coating, Ø 10 mm, f8 tolerance) - Solid carbide end mill (uncoated, Ø 5 mm, e8 tolerance) - Workspace blank dimensions: 150x75x50mm
Der vorliegende Datensatz enthält Prozessdaten, die auf einer dreiachs Fräsmaschine (CMX 600V, DMG Mori) durchgeführt wurden, und ergänzt DOI:10.35097/hvvwn1kfwf7qt48z. Um die Vielfalt und Variabilität realer Fräsbearbeitungen widerzuspiegeln, wurden industrierelevante Bauteile, Werkzeuge und Bearbeitungsstrategien angewendet. Insgesamt sind 54 Fräsversuche enthalten. Um eine Reproduzierbarkeit und Benchmarking-Anwendungen zu ermöglichen, umfasst der Datensatz NC-Programme, beschriftete Bilder und eine detaillierte Dokumentation. 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 2 for Process Monitoring and Anomaly Detection in Industrial CNC Milling
Processed micro-tomographic scan of the ant Solenopsis jacoti, scanned at KIT Light Source. This dataset is part of 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 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
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 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.
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 6)
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.
Institut für Wasser und Gewässerentwicklung
This folder contains videos of full plastics cups (Cup_PP_98) being transported with a given flow condition (V4) in physical laboratory experiments.
Surfaced and suspended plastic: Cup_PP_98_def_V4 (videos)
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 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 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.
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 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.
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 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.
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.
European High-Performance Computing Joint Undertaking EuroHPC (JU)
In Silico Characterization of the Sinoatrial Node (v1.0)
Simulated concentration data for birch pollen, birch SPP and hydrometeors and atmospheric variable (Part 17)
Processed micro-tomographic scan of the ant Acropyga 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 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.
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 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 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 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.
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.
Interviews on the role of repositories for archiving and providing research data at Karlsruhe Institute of Technology (KIT)
Karlsruher Institut für Technologie (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)
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 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.
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 Carebara afrc-gh04, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with 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.
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 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.
Motor Research Data Repository Karlsruhe Institut für Technologie
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.
Motor Research Data Repository, Karlsruhe Institute of Technology
Finkernagel , Florian (Universität Marburg)
Schmidt, Kerstin (Universität Göttingen)
Eine genaue Beschreibung der Generierung und Auswertung der Daten befindet sich im Methodenteil der Dissertation
Rohdaten der LC-MS, RNA-Seq und ChIP-Seq Experimente sowie weitere Auswertungen in tabellarischer Form
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.
Institut für Technische Chemie und Polymerchemie (ITCP), Karlsruher Institut für Technologie (KIT)
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
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 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 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.
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 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.
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.
Institut für Produktentwicklung (IPEK), Karlsruher Institut für Technologie (KIT)
M10-M20 bolted joints were tightened using an impact wrench with two power levels and different sockets. The progression of preload, head and thread friction torque was measured at high frequency and analysed. In post-processing, the progression of the coefficients of thread and head friction was calculated for each impact of the impact wrench.
M10-M20 Schraubenverbindungen wurden mit einem Schlagschrauber auf 2 Stufen mit mehreren Nüssen schlagend angezogen. Die Verläufe von Vorspannkraft, Kopf- und Gewindereibmoment wurden hochfrequent gemessen und im Verlauf analysiert. Im Post-Processing wurde der Verlauf der Gewinde- und Kopfreibungszahlen für jeden Schlag des Schlagschraubers berechnet.
Die Daten wurden aufgezeichnet und anschließend gefiltert. Aus den gefilterten Versuchsdaten der Vorspannkraft und der Kopf- und Gewindemomente wurde für jeden einzelnen Schlag ein Kopf- und Gewindereibungszahl berechnet. Für eine bessere Übersichtlichkeit wurde zusätzlich eine Tabelle mit Vorspannkräften und Reibungszahlen bei spezifischen Vorspannkraftniveaus erstellt.
Measurement data of impact tightening process of M10-20 bolted joints
Institut für Industriebetriebslehre und Industrielle Produktion (IIP), Karlsruher Institut für Technologie (KIT)
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 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 Hypoponera greadowi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Leibniz-Forschungsinstitut für Molekulare Pharmakologie (FMP), Medicinal Chemistry,
Karlsruhe Institute of Technology, Institute of Functional Interfaces
Karlsruhe Institute of Technology, Karlsruhe Nano Micro Facility (KNMFi), Institute for Applied Materials - Energy Storage Systems (IAM-ESS)
Max Delbruck Center for Molecular Medicine in the Helmholtz Association, Proteome Dynamics Lab
Leibniz-Forschungsinstitut für Molekulare Pharmakologie (FMP), Medicinal Chemistry
Karlsruhe Institute of Technology, Karlsruhe Nano Micro Facility (KNMFi), Institute of Functional Interfaces
photoaffinity labeling, drug discovery, proteomics, natural products, microarrays, secondary ion mass spectrometry
Compound interaction screen on a cellulose membrane identifies drug targets
Karlsruhe Institute of Technology, Karlsruhe Nano Micro Facility
Processed micro-tomographic scan of the ant Messor decipiens, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with 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 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.
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
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.
Simulated concentration data for birch pollen, birch SPP and hydrometeors and atmospheric variable (Part 4)
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 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 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 Pheidole capellinii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with 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 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 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.
"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
Eine Auflistung und Beschreibung der Daten befindet sich im Anhang unter 6.1. Die Generierung und Auswertung der Daten befindet sich im Methodenteil der Dissertation "Die Charakterisierung des Transkriptionsfaktors Hdp2 und dessen Rolle in der biotrophen Phase von Ustilago maydis"
Digitale Datensätze der Dissertation "Die Charakterisierung des Transkriptionsfaktors Hdp2 und dessen Rolle in der biotrophen Phase von $\textit{Ustilago maydis}$"
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 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.
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
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
DAMAST-KIT-Spartak: Structural Core Analysis
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
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 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.
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 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.
Institut für QuantenMaterialien und Technologien (IQMT), Karlsruher Institut für Technologie (KIT)
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
Technische Universität Braunschweig (TU Braunschweig)
Institut für Angewandte Materialien – Elektrochemische Technologien (IAM-ET1), Karlsruher Institut für Technologie (KIT)
Numerical details: The model was implemented and performed using MATLAB R2022b. Data set: A csv file exists for each figure and subfigure. There is always a single file for each Li2S microstructure, which contains the name of the corresponding figure. The extensive Figure 6, also contains the details of the concentration and the interfacial difference parameter.
Insight into the impact of electrolyte on passivation of Lithium-Sulfur cathodes
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
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 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.
This folder contains videos of small plastic films (Film_HDPE_15) being transported with a given flow condition (V3) in physical laboratory experiments.
Surfaced and suspended plastic: Film_HDPE_15_V3 (videos)
Processed micro-tomographic scan of the ant Tetramorium FHG046, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with 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.
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 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.
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 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 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 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 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 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 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 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.
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'
Institut für Fahrzeugsystemtechnik, Schaeffler Hub for Advanced Research am KIT
This dataset includes the simulation model of the demonstrator vehicle "elf++" for vehicle dynamics simulation in CarMaker. The demonstrator vehicle was developed in the research project e²-Lenk at the Institute of Vehicle System Technology (FAST) and at Schaeffler Hub for Advanced Research at KIT (SHARE at KIT) and subsequently used in the projects SmartLoad and FLOOW. The CarMaker model includes the vehicle geometry, the chassis kinematics, the powertrain, and the tire model, supplemented by the modeling of the steering system, the localization module, and the longitudinal and lateral dynamics control in MATLAB-Simulink. Other modules such as vehicle guidance controllers can be added to the Simulink model. The modeling status corresponds to the vehicle state at the end of the SmartLoad project.
# Vehicle Dynamics Model of Demonstrator Vehicle "elf++" English version see below. ## Einleitung Dies ist ein Fahrdynamik-Simulationsmodell für das Demonstratorfahrzeug „elf++“, das mit CarMaker 8.0 und Matlab 2018b kompatibel ist. Das CarMaker-Projekt umfasst das Fahrzeugmodell *Demonstrator_vehicle_ELFpp* und den Testrun *Test_Runs_DrivingDynamicsArea*. Das Modell ermöglicht die Simulation von Fahrmanövern durch Vorgabe des zeitlichen Verlaufs von Lenkradwinkel und Geschwindigkeit. Weitere Funktionalitäten können im Simulink-Modell modular ergänzt und angepasst werden. Beispielhaft wurde ihm Rahmen folgender Veröffentlichung ein Fahrzeugführungsregler in das Modell integriert: [Pragmatic and Effective Enhancements for Stanley Path-Tracking Controller by Considering System Delay](https://doi.org/10.3390/vehicles5020034). Bei dem Demonstratorfahrzeug „elf++“ handelt es sich um ein Fahrzeug im Maßstab 1:1,5, das über eine Ackermannlenkung mit redundant verbautem Lenkaktor und radselektive Antriebe an der gelenkten Vorderachse verfügt. ## Aufbau des integrierten Simulink-Modells *Demonstrator_vehicle_ELFpp* ### *Vehicle_Control* Dieser Block umfasst die Funktionen der Fahrzeugregelung von der Sollwertvorgabe bis zur Ausgabe der Aktorstellgrößen. - #### *Target* Vorgabe des Lenkradwinkelverlaufs in rad und der Geschwindigkeit in m/s des zu fahrenden Manövers. - #### *Steering_controller* Lenkradwinkelregelung zur Vorgabe des Gesamtlenkmomentes. - #### *Steering_Actuator_Allocation* Aufteilung des Gesamtlenkmomentes auf die redundant verbauten Lenkaktoren. - #### *Velocity_controller* Geschwindigkeitsregelung zur Vorgabe des Gesamtantriebsmomentes. - #### *Driving_Actuator_Allocation* Aufteilung des Gesamtantriebsmomentes auf die radindividuellen Antriebe der Vorderachse. ### *CarMaker* Dieser Block stellt die Schnittstelle zu CarMaker dar. Die Aktorstellgrößen, die die Regler vorgeben, werden im *Torque_Limiter* den physikalischen Limits entsprechend beschränkt. Weitere Modifikationen gegenüber der CarMaker-Vorlage betreffen die Modellierung des Lenksystems. Ausgehend von den Aktormomenten und den Spurstangenkräften wird mittels eines 2DOF Modells die resultierende Lenkbewegung berechnet. ### *Localization* Zur Abbildung des auf dem Fahrzeug verbauten GNSS RTK Systems werden in diesem Block die Positionsmessgrößen in ihrer Frequenz reduziert. ## Parameter und Einstellungen ### *sim_settings.m* Mit den Vorgaben in dieser Dateikönnen die Dauer des Simulationsdurchlaufes, sowie die Parameter des Modells angepasst werden, die die Einstelllungen der Regler und die fahrdynamischen Grenzen des Manövers betreffen. ### *init_parameter* in Ordner *vehicle_control_data* Diese Datei definiert Konstanten und enthält fahrzeugspezifische Parameter. ## Verwendung Um dieses Simulationsmodell zu verwenden, öffnen Sie das Simulink-Modell *Demonstrator_vehicle_ELFpp* und starten daraus CarMaker durch Klicken auf das CarMaker Symbol. In CarMaker öffnen Sie den Testrun *Test_Runs_DrivingDynamicsArea*. Definieren Sie dann die Fahrmanöver im *Target* Block, indem Sie den zeitlichen Verlauf von Lenkradwinkel und Geschwindigkeit angeben. Starten Sie die Simulation über die CarMaker GUI. ## English version: ## Introduction This is a driving dynamics simulation model for the demonstrator vehicle “elf++” compatible with CarMaker 8.0 and Matlab 2018b. The CarMaker project includes the vehicle model *Demonstrator_vehicle_ELFpp* and the test run *Test_Runs_DrivingDynamicsArea*. The model supports the simulation of driving maneuvers by specifying the course of the steering wheel angle and velocity. Further functionalities can be added and adapted modularly in the Simulink model. For example, a vehicle guidance controller was integrated into the model as part of the following publication: [Pragmatic and Effective Enhancements for Stanley Path-Tracking Controller by Considering System Delay](https://doi.org/10.3390/vehicles5020034). The demonstrator vehicle “elf++” is a vehicle on a scale of 1:1.5 that has Ackermann steering with a redundantly installed steering actuator and wheel-selective drives on the steered front axle. ## Structure of the integrated simulink model *Demonstrator_vehicle_ELFpp* ### *Vehicle_Control* This block includes the functions of the vehicle control from the setpoint specification to the output of the actuator target values. - #### *Target* Specification of the steering wheel angle course in rad and the speed in m/s of the maneuver to be driven. - #### *Steering_controller* Steering wheel angle control that outputs the total steering torque. - #### *Steering_Actuator_Allocation* Allocation of the total steering torque to the redundantly installed steering actuators. - #### *Velocity_controller* Velocity control that outputs the total drive torque. - #### *Driving_Actuator_Allocation* Allocation of the total drive torque to the individual wheel drives of the front axle. ### *CarMaker* This block represents the interface to CarMaker. The actuator target values which the controllers specify are limited in the *Torque_Limiter* according to their physical limits. Further modifications compared to the CarMaker template concern the modeling of the steering system. Starting from the actuator torques and the tie rod forces, the resulting steering movement is calculated by means of a 2DOF model. ### *Localization* To represent the GNSS RTK system installed on the vehicle, the frequency of the position measurement variables is reduced in this block. ## Parameter and Settings #### *sim_settings.m* In this file, the duration of the simulation run can be adjusted, as well as the parameters of the model, which affect the settings of the controllers and the driving dynamic limits of the maneuver input. #### *init_parameter* in Ordner *vehicle_control_data* This file contains constants and parameters specific to the vehicle. ## Usage To use this simulation model, open the Simulink model *Demonstrator_vehicle_ELFpp* and start CarMaker from it by clicking on the CarMaker icon. In CarMaker, open the test run *Test_Runs_DrivingDynamicsArea*. Then define the driving maneuvers in the *Target* block by specifying the course of steering wheel angle and velocity. Start the simulation via the CarMaker GUI.
Dieser Datensatz enthält das Simulationsmodell des Demonstratorfahrzeugs "elf++" für die Fahrdynamiksimulation in CarMaker. Das Demonstratorfahrzeug wurde im Forschungsprojekt e²-Lenk am Institut für Fahrzeugsystemtechnik (FAST) und am Schaeffler Hub for Advanced Research am KIT (SHARE am KIT) entwickelt und anschließend in den Projekten SmartLoad und FLOOW eingesetzt. Die Modellierung in CarMaker umfasst die Fahrzeuggeometrie, die Fahrwerkskinematik, den Antriebsstrang und das Reifenmodell, ergänzt um die Modellierung des Lenksystems, des Lokalisierungsmoduls und der Längs- und Querdynamikregelung in MATLAB-Simulink. Das Simulink-Modell kann um weitere Module wie z.B. einen Fahrzeugführungsregler ergänzt werden. Der Modellierungsstand entspricht dem Fahrzeugzustand zum Ende des Projektes SmartLoad.
Vehicle Dynamics Model of Demonstrator Vehicle "elf++"
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.
The wbk Industrial Assembly Task Board is a modular benchmark designed to evaluate robotic assembly systems. Developed by the wbk Institute of Production Science at KIT (Karlsruhe Institute of Technology), this task board provides a diverse set of tasks that simulate real-world industrial challenges. It includes modules for peg-in-hole tasks, pick-and-place operations, gear assembly, screws and nuts handling, and elastic deformation tasks. Features: - Modular design for customizable benchmarks. - 3D-printable components for easy replication. - Comprehensive documentation for setup and evaluation. - Designed to test precision, adaptability, and advanced planning in robotic systems.
The wbk Industrial Assembly Task Board is a modular benchmark designed to address the complexities of robotic assembly tasks beyond the traditional "peg-in-hole" paradigm. This task board provides a diverse set of challenges that simulate real-world industrial assembly scenarios. Each module is tailored to test specific assembly complexities, including precision insertion, compliant assembly, and advanced planning for multi-part interactions. The modular design enables researchers to mix and match tasks, allowing for customized benchmarks that address specific research questions. All components are 3D-printable, ensuring accessibility and reproducibility across the robotics community. This paper presents the design rationale, task descriptions, and evaluation criteria for the task board, along with instructions on how to build the board yourself.
Das wbk Industrial Assembly Task Board ist ein modularer Benchmark, der entwickelt wurde, um die Komplexität von Roboter-Montageaufgaben abzubilden, die über das traditionelle „Peg-in-Hole”-Paradigma hinausgehen. Das Task Board bietet eine Vielzahl von Herausforderungen, die reale industrielle Montageszenarien simulieren. Jedes Modul ist auf die Prüfung spezifischer Komplexitäten der Montage zugeschnitten, darunter präzises Einfügen, konforme Montage und fortgeschrittene Planung für Interaktionen mit mehreren Teilen. Der modulare Aufbau ermöglicht es Forschern, Aufgaben zu kombinieren und anzupassen, sodass maßgeschneiderte Benchmarks für spezifische Forschungsfragen erstellt werden können. Alle Komponenten sind 3D-druckbar, wodurch die Zugänglichkeit und Reproduzierbarkeit für die gesamte Robotik-Community gewährleistet ist. Dieser Artikel stellt die Konstruktionsgrundlagen, Aufgabenbeschreibungen und Bewertungskriterien für das Task Board vor und enthält Anweisungen zum Bau des Boards.
From Toy Problems to Industrial Reality: The wbk Assembly Benchmark
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'
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
Processed micro-tomographic scan of the ant Parasyscia sp cribrinodis 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 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 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.
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
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 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 OUTGROUP_Cynipidae 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.
Institute of Meteorology and Climate Research Troposphere Research
Original BUFR files of the radiosonde measurements from Villingen Schwenningen during the Swabian MOSES 2023 field campaign. The radiosondes were released at 48.056°N, 8.487°E.
Radiosonde measurements from Villingen-Schwenningen, Swabian MOSES 2023, Level 0 BUFR files
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"
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 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 Cephalotes cordatus, scanned at KIT Light Source. This dataset is part of 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 Hypoponera 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 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.
Institut für Biologische und Chemische Systeme (IBCS), Karlsruher Institut für Technologie (KIT), Institut für Organische Chemie (IOC), Karlsruher Institut für Technologie (KIT)
Institut für Biologische und Chemische Systeme (IBCS), Karlsruher Institut für Technologie (KIT)
Remote manipulation of microcargo is essential for miniaturized automated experiments in fields such as biology, chemistry, and diagnostics, allowing efficient use of scarce, expensive, or hazardous materials. Current methods for manipulating microcargo are generally limited to droplets as cargo and rely on reduced substrate-cargo friction and special substrate-cargo interactions (electrowetting, anisotropic wetting, water-repellency, etc.) to enable cargo mobility. This limits the versatility of substrate and cargo choice. Here, we present CART (Carrier-based Actuatable and Reprogrammable Transport) as a solution to these challenges. By introducing a carrier between the substrate and the cargo, CART physically separates them, eliminating the need to reduce substrate-cargo friction and the need for substrate-cargo matching. CART devices are easy to realize, tailor, and post-functionalize. A photo-polymerizable phase-separating resin is used to 3D-print porous carriers that are then infused with ferrofluid to make them magnetically responsive, enabling untethered cargo manipulation on both solid and liquid substrates. Using CART, various cargos can be remotely moved, rotated/mixed, inverted, and lifted, further facilitating interaction between two carriers for transferring, merging, and tunably splitting cargo. Overall, CART advances microcargo manipulation by decoupling cargo from the substrate and leveraging magnetic responsiveness for untethered, versatile control across different environments, opening up new actuation-modalities.
Dataset: CART: Carrier-based Actuatable and Reprogrammable Transport
CART: Carrier-based Actuatable and Reprogrammable Transport
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 Formica cf pallidefulva, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with 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 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 Pogonomyrmex magnacanthus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with 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 naegelii, scanned at KIT Light Source. This dataset is part of 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
The data set comprises nitric oxide data of the Earth's middle and upper atmosphere region for the years 2002-2012 as derived from all acquisition modes of infrared spectra measurements collected by the MIPAS instrument on board of the Envisat satellite. Further, temperature data for the upper atmosphere mode of MIPAS is provided. The data version is V8.
The data is delivered as a set of archive files with each archive containing monthly netCDF files of the respective year. For previous version see relations.
MIPAS IMK/IAA version 8 retrieval of nitric oxide and lower thermospheric temperature: the data [Corrected version]
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.
Ein Normierungsversuch für die Hauptschule
Motor Research Data Repository, Karlsruher Institut für Technologie
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.
Motor Research Data Repository, Karlsruher Institute of Technology
The first observational dataset of vertically resolved global stratospheric BrONO2 distributions from July 2002 until April 2012, compared to results of the atmospheric chemical climate model EMAC. The retrieved distributions are based on space-borne measurements of infrared limb-emission spectra recorded by the Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) on Envisat. The derived vertical profiles of BrONO2 volume mixing ratios represent 10 deg latitude bins and three-day means, separated into sunlit and observations in the dark. The estimated uncertainties are around 1–4 pptv caused by spectral noise for single profiles as well as for further parameter and systematic errors which may not improve by averaging. Vertical resolutions range from 3 to 8 km between 15 and 35 km altitude.
The single netcdf file contains the retrieved profiles of BrONO2 volume mixing ratios from MIPAS avergaged spectra and the corresponding EMAC model results with and without application of the retrieval averaging kernels.
The MIPAS global climatology of BrONO2 2002–2012 in comparison to EMAC model data
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"
Institut für Angewandte Materialien – Werkstoffkunde (IAM-WK), Karlsruher Institut für Technologie (KIT)
European Institute for Energy Research (EIFER), Karlsruher Institut für Technologie (KIT)
In this repository, data sets of the plots can be found. For more information about experimental details, please see the Experimental Section in the manuscript.
Pressurized Single Cell Testing of Solid Oxide Cells
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.
This folder contains videos of face masks (Mask) being transported with a given flow condition (V1) in physical laboratory experiments.
Surfaced and suspended plastic: Mask_V1 (videos)
This dataset contains the electric power consumption of 28 German companies in 15 minutes resolution. The data was adjusted for inconsistencies in the daylight saving time transitions. Other inconsistencies and errors were not eliminated. The data were collected by power utilities for billing purposes and covers the years 2014 and 2018. The companies provided the data to the C/sells the project. The authors want to thank Wolff and Müller Energy for providing the data. Further, the Germany Federal Ministry for Economic Affairs and Energy for funding and support. This research was partly financed by the Smart Energy Showcases - Digital Agenda for the Energy Transition (SINTEG) program. All values are mean power values in kW in the 15 minute intervals.
Electricity consumption of 28 German companies in 15-min resolution
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 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.
Institut für Angewandte und Numerische Mathematik
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"
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.
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"
This folder contains videos of small plastic films (Film_HDPE_15) being transported with a given flow condition (V4) in physical laboratory experiments.
Surfaced and suspended plastic: Film_HDPE_15_V4 (videos)
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 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.
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.
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.
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
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 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.
Der Datensatz beinhaltet die Simulationen des Papers "Fiber bundle topology optimization of hierarchical microtextures for wetting behavior in Cassie-Baxter mode". DOI: 10.1007/s00158-020-02558-8
Dataset to the publication 'Fiber bundle topology optimization of hierarchical microtextures for wetting behavior in Cassie-Baxter mode'
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 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.
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 "Exponential integrators for quasilinear wave-type equations" by B. Dörich and M. Hochbruck.
This program is intended to reproduce the results from the preprint "Exponential integrators for quasilinear wave-type equations" by Benjamin Dörich and Marlis Hochbruck The codes generates the lines in Figure 1 #### 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 - dolfin - 2018.1.0 - fenics - 2018.1.0 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 - dolfin - 2019.2.0.dev0 - fenics - 2019.2.0.dev0 #### Figure 1 In the folder "DoeH21_quasilinear" open a console and run the following commands after each other. 1) Run "python3 1_generate_initial_matrices.py" 2) Run "python3 2_paper_run_reference_solution.py" 3) Run "python3 3_paper_run_Euler.py" 4) Run "python3 4_paper_run_midpoint.py" After running the calculations, the errors can be found in the folder "DoeH21_quasilinear/extracted_data/". (a) settings_* contains the information of the config file (b) infos_* contains the computed errors (c) plot_* contains a tikz-file which gives the plot for the Euler and the midpoint rule separately.
Numerical experiments to "Exponential integrators for quasilinear wave-type equations"
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 Camponotus 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 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.
Copyright © 2021, American Chemical Society
Kostengünstige enzymfreie Glukosesensoren mit teilweiser Flexibilität, die für tragbare Internet-of-Things-Geräte geeignet sind und als personalisierte Point-of-Care-Geräte in Betracht gezogen werden können, wurden durch die galvanische Abscheidung von Kupfer auf lokal karbonisierten flexiblen Meta-Polyaramid-Folien (Nomex) unter Verwendung von Laserstrahlung hergestellt. Freistehende Filme wurden in Stickstoff- und Stickstoff/Luft-Arbeitsumgebungen getempert, was zur Bildung von Cu-Mikrosphäroiden und CuO-Egeln führte, die auf dem Substratfilm verteilt waren. Der Aggregationsmechanismus, die kristallographischen Eigenschaften, die Oberflächenchemie und die elektrochemischen Eigenschaften der Filme wurden mittels Rasterelektronenmikroskopie, Röntgendiffraktometrie, Transmissionselektronenmikroskopie, Röntgenphotoelektronenspektroskopie und zyklischer Voltammetrie untersucht. Cu-Mikrosphäroide und CuO-Igel erreichten Aktivität für den Glukose-Nachweis und zeigten eine Verbesserung der amperometrischen Empfindlichkeit auf 0,25 bzw. 0,32 mA cm-2 mM-1. Der CuO-Igelfilm behielt seine chemische Zusammensetzung nach der amperometrischen Prüfung bei und ermöglichte durch Spülen mehrere Wiederholungen mit reproduzierbaren Ergebnissen. Diese Studie eröffnet die Möglichkeit zur Herstellung langlebiger Verbundstoff-Biosensoren mit maßgeschneiderter Form, die in flexible Träger und mikrofluidische Systeme eingebaut werden können.
The collected data presented in OriginPro (2021) and structured according to the figures name from the publication. The schemes made with CorelDRAW (v17). The formulas were created with ChemOffice. The images can be handled with standard toolkit.
Low-cost enzyme-free glucose sensors with partial flexibility adaptable for wearable Internet of Things devices that can be envisioned as personalized point-of-care devices were produced by electroplating copper on locally carbonized flexible meta-polyaramid (Nomex) sheets using laser radiation. Freestanding films were annealed in nitrogen and nitrogen/air working environments, leading to the formation of Cu microspheroids and CuO urchins dispersed on the substrate film. The aggregation mechanism, crystallographic properties, surface chemistry, and electrochemical properties of the films were studied using scanning electron microscopy, X-ray diffractometry, transmission electron microscopy, X-ray photoelectron spectroscopy, and cyclic voltammetry. Cu microspheroids and CuO urchins attained activity for glucose detection and showed improvement of amperometric sensitivity to 0.25 and 0.32 mA cm–2 mM–1, respectively. The CuO urchin film retained its chemical composition after amperometric testing, and, by rinsing, allowed multiple repetitions with reproducible results. This study opens the possibility for the fabrication of durable composite biosensors with tailored shape, capable of implementation in flexible carriers, and microfluidic systems.
Nano- and Microstructured Copper/Copper Oxide Composites on Laser-Induced Carbon for Enzyme-Free Glucose Sensors
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
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.
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.
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.
Fraunhofer Institute for Mechanics of Materials
Dieser Datensatz ist eine RO Crate Kollektion (ZIP-File) von ausgewerteten Daten / Analysen aus tribologischen Experimenten einer LDS Spritzschicht in Kontakt mit 6 unterschiedlichen diamantartigen Kohlenstoffschichten (DLC). Die Messungen wurden als Funktion der Gleitgeschwindigkeit und der Normalkraft durchgeführt und die Daten automatisiert mit Matlab analysiert.
Geophysical Institute (GPI), Karlsruhe Institute of Technology (KIT), Germany
This dataset contains shear wave splitting measurements (SWSMs) on SKS, SKKS, and PKS phases at the (semi-) permanent broadband seismological recording stations Black Forest Observatory (BFO), Welschbruch (WLS), Stuttgart (STU), Échery (ECH), Karlsruhe-Durlach (TMO44), and KIT-GPI (TMO07). Splitting parameters (fast polarization direction and delay time) were obtained with the MATLAB package SplitLab (Wüstefeld et al. 2008) simultaneously applying the rotation-correlation method (Bowman & Ando 1987) and the energy minimization method (Silver & Chan 1991). Additionally, the splitting intensity (Chervot 2000) is reported. Only single-event analysis SWSMs of good and fair qualities are reported. Information of the used earthquakes are included. CSV as well as PDF files are provided. Details can be found in the README. The dataset is related to the publication Fröhlich et al. (2024), GJI, https://doi.org/10.1093/gji/ggae245.
YF: Funding from the German States (Landesgraduiertenförderung (LGF))
JR: Deutsche Forschungsgemeinschaft (DFG)
geophysics, seismology, elastic anisotropy, seismic anisotropy, shear wave splitting
Longterm Shear Wave Splitting Measurements in the Upper Rhine Graben Area
Processed micro-tomographic scan of the ant Ponera tamon, scanned at KIT Light Source. This dataset is part of 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 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
Processed micro-tomographic scan of the ant Plagiolepis 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 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.
# Thermal statistics of turbulent forced convection pipe flow for axially and 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 for forced convection pipe flow with axially and azimuthally inhomogeneous thermal boundary conditions. The wall heat flux in azimuthal direction is prescribed to be adiabatic on one half of the pipe and sinusoidal on the other half. In axial direction, the wall heat flux distribution is given by a Gaussian function. The detailed description of the numerical setup and discussion of the statistics contained in this database are given in the dissertation: Straub. "Non-homogeneous thermal boundary conditions in low to medium Prandtl number turbulent pipe flows". Dissertation, Karlsruhe Institute of Technologie (KIT), 2020 Contents Nusselt number Wall temperature Radial profiles of temperature at nine axial and five azimuthal locations Radial profiles of temperature variance at nine axial and five azimuthal locations Radial profiles of turbulent heat fluxes at nine axial and five azimuthal locations
This database contains numerical results of well-resolved large-eddy simulations and direct numerical simulations on a turbulent forced convection pipe flow with axially and azimuthally inhomogeneous thermal boundary conditions. Please refer to the README for further information.
Thermal statistics of turbulent forced convection pipe flow for axially and azimuthally inhomogeneous thermal boundary conditions
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.
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 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 Neivamyrmex detectus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with 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 MG04, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with 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 cf 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.
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
Instructions on how to use the data can be found within the repository.
This repository provides different artifacts developed in and used for the evaluation presented in the paper "Classifying and Avoiding Compatibility Issues in Networks of Bidirectional Transformations" by Sağlam and Klare at the Ninth International Workshop on Bidirectional Transformations. The artifacts comprise a Git repository whose history documents the case study conduction presented in the paper, as well as the developed transformation network with the test scenarios of the case study. The package contains a prepared execution environment and provides a script to run the environment for the tests scenarios and automatically resolve all dependencies based on Docker.
Reproduction Package for the Paper on Classifying and Avoiding Compatibility Issues in Networks of Bidirectional Transformations
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.
This folder contains videos of face masks (Mask) being transported with a given flow condition (V5) in physical laboratory experiments.
Surfaced and suspended plastic: Mask_V5 (videos)
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 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 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 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 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.
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 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 Megalomyrmex 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 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 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.
Institut für Meteorologie und Klimaforschung Atmosphärische Aerosolforschung (IMKAAF), Karlsruher Institut für Technologie (KIT)
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
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.
The files are named according to the numbering of the figures in the publication. All relevant information and assignments can be found in the data header of each file. Figure_1: (a) Linear sweep voltammetry (LSV) of aniline, and (b) cyclic voltammetry of ZnO, Fe2O3 and ZnFe2O4 in the synthesis precursor solution. Figure 2: Current to time response (I-t) profiles during synthesis of (a) PN, (b) PNZ, (c) PNF and (d) PNZF. Figure 4: XRD spectra of (a) PN synthesized by CV during parameter identification, (b) PN synthesized by CA, (c) ZnO, (d) PNZ, (e) Fe2O3, (f) PNF, (g) ZnFe2O4, (h) PNZF. Figure 5: FT-IR spectra of (a) PN and its composites, (b) ZnO, Fe2O3 and ZnFe2O4. Figure 6: UV/Vis spectra of (a) PN and its composites and (b) ZnO, Fe2O3, and ZnFe2O4. Figure 7: Cyclic voltammograms of (a) PN, (b) PNZ, (c) PNF, and (d) PNFZ at different scan rates. Potentials are referred to SCE (KClsat. in H2O). Figure 8: Comparison of PN and its composites for (a) CV measurements at a scan rate of 5 mV s 1, (b) the calculated specific capacitances of PN, PNZ, PNF and PNZF for different scan rates, (c) the calculated capacitance retentions for 4,000 cycles at 30 mV s-1. Figure 9: GCD experiments at different current densities of (a) PN, (b) PNZ, (c) PNF, and (d) PNZF. (e) Comparison of the specific capacitances of PN and its composites at different current densities. Figure 10: EIS spectra of PN, PNZ, PNF, and PNFZ.
This study introduces an efficient potentiostatic method to enhance the energy storage performance of polyaniline (PN) by synthesizing PN@ZnO (PNZ), PN@Fe2O3 (PNF), and PN@ZnFe2O4 (PNZF) hybrid electrodes with defined porous morphology. The precise selection and control of the working potential during electro-polymerization and metal oxide integration using the linear sweep voltammetry was key for synthesizing the polymer hybrid electrodes reproducible and with defined composition and structure. The PNZF electrode demonstrated the highest specific capacitances of 816 F g-1 and 791.3 F g 1 at a scan rate of 5 mV s-1 and 1.0 A g-1 current density, along with high power density and energy density of 1058.4 W kg-1 and 136.4 Wh kg 1, and with excellent stability retaining 90 % over 4000 cycles. We could attribute the excellent performance to a low charge transfer resistance of 25.0 Ω, a predominantly surface-controlled charge storage mechanism, and a porous morphology with uniform distribution of ZnFe2O4 particles in the polymer network, all resulting from the electrochemical synthesis method. Our study provides valuable and new insights into the structural, optical, and electrochemical properties of PN composites, particularly PNZF.
Potentiostatic Synthesis of Polyaniline Zinc and Iron Oxide Composites for Energy Storage Applications
Dynamic multi-focus 3D laser nanoprinting based on two-step absorption and computational holography
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 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.
Institut für Prozessdatenverarbeitung und Elektronik
3D USCT III (3rd generation) experimental data. The following datasets are included: 1: Gelatin phantom with four inclusions made from PVC (spheres of different size 8 mm to 22 mm) 2: Empty measurement with the same acquisition parameters as the gelatin phantom.
In order to utilize the data, we provide a MATLAB interface which has been updated for the USCT 3rd generation format. It can be accessed via GitHub repository at https://github.com/KIT-3DUSCT/3D-USCT-III-access-script. The source code is provided under 3-clause BSD-license. The interface software enables retrieving A-scans, emitter and receiver positions, and additional meta data as e.g. ultrasound pulse information, temperature distribution in water. For questions and bug reports regarding the MATLAB interface please use the issue tracker or contact us via e-Mail. For further information and data access scripts see webpage http://ipeusctdb1.ipe.kit.edu/~usct/challenge/?page_id=92
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.
Graphical program for display time dependent data on 3D finite elment meshes
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.
Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB), Karlsruher Institut für Technologie (KIT)
Contains: - 4 versions of the debriefing used in the study (Type A & Type B - each for detected and not detected) - The structure of the online questionnaire for phase 1 & 2 - The informed consent for phase 1 & 2 - The study material participants received (role card & invitation letter)
Systematic User Evaluation of a Second Device based cast-as-intended verifiability Approach
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 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.
Simulated concentration data for birch pollen, birch SPP and hydrometeors and atmospheric variable (Part 10)
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.
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 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.
Institut für Organische Chemie (IOC), Karlsruher Institut für Technologie (KIT)
Each folder structured, to the corresponding figure in the paper
Parallelization remains a key challenge in advancing 3D bioprinting from a prototyping method to a practical tool for true high-throughput screening (HTS). The ability to fabricate many tissue substitutes simultaneously is essential for studying cell–material interactions and drug responses across the ever-growing libraries required in disease modeling and drug discovery. HTS of tissue substitutes requires models in culture that remain viable under long-term immersion in liquid. However, existing fabrication approaches are fundamentally limited by a trade-off between physiological relevance and throughput. Two-dimensional cultures on liquid-compartmentalization platforms enable HTS but lack physiological accuracy, while 3D cultures provide physiological relevance at the expanse of speed and scalability. 3D bioprinting methods on traditional liquid compartmentalization platforms are inherently serial, resulting in sequential fabrication of models, which scale unfavorably with increasing array sizes required for HTS. Here, we present a 3D bioprinting solution that integrates digital light processing (DLP) stereolithography with a patterned slippery liquid infused porous surface droplet microarray (SLIPS-DMA). This wall-less compartmentalization platform repels gelatin methacrylate (GelMA) inks, maintains stable droplet boundaries and enables complete immersion of printed hydrogel 3D structures. By eliminating inter-compartment travel for material deposition, the process decouples fabrication time from array size, achieving true parallelization. Using optimized printing parameters, we demonstrate high-fidelity parallel 3D printing of tens to hundreds of GelMA structures in under ten minutes, while preserving cell viability and subsequent complete structure immersion in stable compartmentalized droplets. The process supports immobilization of cells or cell-aggregates within individual 3D hydrogel structures of an array on the platform for downstream assays. By combining parallel 3D printing with a solid wall-less compartmentalization platform, this technology overcomes the serial bottleneck of existing approaches. This technology represents a significant advance, effectively bridging the gap between arrays of high-fidelity 3D tissue models and the fabrication speed required for HTS. The developed parallel 3D printing-SLIPS-DMA approach establishes a flexible high-throughput system-on-a-chip for 3D cell culture in separate, miniaturized liquid environments. It thereby enables scalable multi-condition HTS for investigation of cell–material–drug interactions.
Parallel 3D Bioprinting on SLIPS-Microarrays
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 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.
Institut für Mikrostrukturtechnik (IMT), Karlsruher Institut für Technologie (KIT)
This is the dataset of the paper "Simultaneous multinuclear MRI via a single RF channel"
Dataset-Simultaneous multinuclear MRI via a single RF channel
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.
These files contain the data used in the publication: “Rearrangement of secondary flow over spanwise heterogeneous roughness” A. Stroh, K. Schäfer, B. Frohnapfel and P. Forooghi published in Journal of Fluid Mechanics, 2019. (DOI: 10.1017/jfm.2019.1030) Abstract: Turbulent flow over a surface with streamwise-elongated rough and smooth stripes is studied by means of direct numerical simulation (DNS) in a periodic plane open channel with fully resolved roughness. The goal is to understand how the mean height of roughness affects the characteristics of the secondary flow formed above a spanwise-heterogeneous rough surface. To this end, while the statistical properties of roughness texture as well as the width and spacing of the rough stripes are kept constant, the elevation of the smooth stripes is systematically varied in different simulation cases. Utilizing this variation three configurations representing protruding, recessed and an intermediate type of roughness are analysed. In all cases secondary flows are present and the skin friction coefficients calculated for all the heterogeneous rough surfaces are meaningfully larger than what would result from the area-weighted average of those of homogeneous smooth and rough surfaces. This drag increase appears to be linked to the strength of the secondary flow. The rotational direction of the secondary motion is shown to depend on the relative surface elevation. The present results suggest that this rearrangement of the secondary flow is linked to the spatial distribution of the spanwise-wall-normal Reynolds stress component which carries opposing signs for protruding and recessed roughness. Numerical Details: The carried out DNS is based on a pseudo-spectral solver for incompressible boundary layer flows developed at KTH/Stockholm. The Navier-Stokes equations are numerically integrated using the velocity-vorticity formulation by a spectral method with Fourier decomposition in the horizontal directions and Chebyshev discretization in the wall-normal direction. For temporal advancement, the convection and viscous terms are discretized using the 3rd order Runge-Kutta and Crank-Nicolson methods, respectively. The simulation domain represents an open turbulent channel flow with periodic boundary conditions applied in streamwise and spanwise directions, while the wall-normal extension of the domain is bounded by no-slip boundary conditions at the lower domain wall (y = 0) and symmetry boundary conditions (v = 0, ∂u/∂y = ∂w/∂y = 0) at the upper boundary (y = δ). The flow is driven by a prescribed constant pressure gradient (CPG). The friction Reynolds number for the present case is fixed to Re_τ = 500. Simulation configuration - Grid nodes: Nx x Ny x Nz = 768 × 301 × 384 - Domain size: Lx x Ly x Lz = 8δ × δ × 4δ - Resolution: ∆x+=5.2, ∆y_min+=0.014, ∆y_max+=2.6, ∆z+ = 5.2 The surface structure is introduced through an immersed boundary method (IBM) based on the method proposed by Goldstein et al. (1993) and is essentially a proportional controller which imposes zero velocity in the solid region of the numerical domain. The structure is placed on the lower domain wall in such a way that the surface height H of the largest raised surface elements is given by H/δ = 10.2%. Data Files: The data files are saved and labeled corresponding to the figure in the manuscript in *.mat files. Each file contains MATLAB data consisting of the plotted quantities and corresponding coordinates. The data is non-dimensionalized as shown in the manuscript figures utilizing friction velocity u_τ, viscous lengthscale δ_ν or bulk mean velocity U_b and effective domain height δ_eff. A matlab script “plot_figures.m” provides the code, which loads the data and plots it in the same way as it has been done in the manuscript. “height_distributions.mat” contains the original roughness distributions utilized in the considered simulations. The files can be also loaded and plotted using “plot_figures.m” 3-dimensional instantaneous snapshot and time series of velocity fields is available upon request (alexander.stroh@kit.edu). Reference: Please provide a reference to the article above when using this data. Please direct questions regarding numerical setup/data to Alexander Stroh Licence: Creative Commons: Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/ November, 2019
Dataset for rearrangement of secondary flow over spanwise heterogeneous roughness
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 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.
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)
Institute of Meteorology and Climate Research, Atmospheric Trace Gases and Remote Sensing (IMK-ASF), Karlsruhe Institute of Technology (KIT)
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
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 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 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 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 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.
Vergleichsdaten Standweitsprung, Weitsprung 1984
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 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.
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 #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
Figure data are provided as .txt files with x and y axis values.
Non-flammable next-generation batteries with high power and energy density are essential to meet the high demands of aircraft applications. These cells require electrolytes that not only are stable but that also ensure reliable battery performance under dynamic load conditions. This study employs a physicochemical model to evaluate and compare the electrochemical performance of cells using different cathodic electrolytes: hybrid solid electrolytes, highly concentrated liquid electrolytes, and ionic liquids (ILs). To isolate the intrinsic behavior of each electrolyte under ideal conditions, the evaluation deliberately excludes side reactions, interfacial stability, and contact limitations, focusing solely on gravimetric energy, power output, and mission performance theoretically achievable with such cells. Cells with LiFSI as salt, ILhydrofluoroether (HFE) as cathode electrolyte or with LiFSA as salt and sulfolane-HFE show superior performance and require less battery mass for aircraft use. To meet the mission requirements of a regional aircraft configuration and when assuming ideal conditions, cathode thicknesses of 70 μm, 60 μm, and 40 μm for sulfolane-HFE, ILHFE, and hybrid solid electrolytes, respectively, were determined. This approach helps to identify promising electrolyte candidates, exclude stable candidates that cannot fulfil the dynamic power demand, reduce unnecessary experimental efforts, and support the development of efficient and safe battery systems for aviation.
Comparative Performance Assessment of Li Batteries with Solid and Highly Concentrated Electrolytes for Aviation Applications
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 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.
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"
3D Printing of Reactive Macroporous Polymers via Thiol-Ene Chemistry and Polymerization-Induced Phase Separation
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.
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 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 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.
The data set covers mobility diaries in 6.465 German car users for one week. This data set is based on the work of [1]. The car users noted their mobility behavior in for a whole week. The participants started logging their mobility patterns on different days. In the end, the data was aggregated starting on a Monday. The time of data collection was selected so that there were no holidays in the data. This data for different driver types are found in the CSV-files named "DrivingProfiles_*.CSV" During the week the participants noted where they went, \eg work, shopping, home, the mode of transportation and the distance traveled. This resulted in mobility diaries in 15 minutes resolution. Each column represents a 15-minute slot. One driver is resembled by to lines. First, her location, second, her distance traveled by car in the 15-minute slot. From this data, we derived parking events with different features found in ParkingEventsData.csv [1] Zumkeller, D., Chlond, B., Ottmann, P., Kagerbauer, M., & Kuhnimhof, T. (2011). Deutsches Mobilitätspanel (MOP)–wissenschaftliche Begleitung und erste Auswertungen. Kurzbericht. Karlsruhe: Institut für Verkehrswesen, Universität Karlsruhe. The original data set can be acquired via https://daten.clearingstelle-verkehr.de/192/
Parking events derived from trip data from MiD2008
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)
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"
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 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 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.
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 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.
main manuscript, figures, and data underlying the plots
Data for "In-situ diagnostics and role of light-induced forces in metal laser nanoprinting"
Laboratorium für Elektronenmikroskopie (LEM), Karlsruher Institut für Technologie (KIT)
This dataset provides data points for the graphs in the publication DOI: 10.1002/fuce.202300060.
Research data of the publication: Comparison of a solid oxide cell with nickel/gadolinium-doped ceria fuel electrode during operation with hydrogen/steam and carbon monoxide/carbon dioxide
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
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.
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.
Graduiertenkolleg 2561: Materials Compounds from Composite Materials (GRK 2561), Karlsruher Institut für Technologie (KIT)
Institut für Angewandte Materialien – Werkstoffkunde (IAM-WK), Karlsruher Institut für Technologie (KIT), Graduiertenkolleg 2561: Materials Compounds from Composite Materials (GRK 2561), Karlsruher Institut für Technologie (KIT)
Institut für Angewandte Materialien – Werkstoffkunde (IAM-WK), Karlsruher Institut für Technologie (KIT), Karlsruhe Nano Micro Facility (KNMF), Karlsruher Institut für Technologie (KIT)
This dataset contains the relevant raw data of the revised submission "Overcoming barriers for high temperature alloys: oxidation and ductility". All files highlighted by "MC-AC" denote data on as-cast Cr-37.2Mo and "MSC-AC" on as-cast Cr-36.1Mo-3Si (alloy compositions given in at.%). "MSC-H" is Cr-36.1Mo-3Si in the homogenized condition after 1600°C for 48 h. Fig1 = Scanning electron grayscale micrographs using backscattered electron contrast as *.tif images Fig2a = area-specific mass changes (average and uncertainty in mg/cm²) as a function of oxidation time (in h); "800C" denotes 800°C and "1100C" denotes 1100°C; the dataset highlighted by "single-specimen" is not averaged but determined on a single specimen Fig2b = engineering stress-strain curves (in MPa and 1, respectively) for room temperature (= "RT") and 900°C (= "900C") Fig2c = 1% offset yield strength (in MPa) as a function of testing temperature (in °C) Fig2d = true work hardening (in MPa) as a function of true stress (in MPa) for room temperature (= "RT") and 900°C (= "900C") Fig3 = Energy-dispersive X-ray spectroscopy maps as fully annotated comma-separated matrix file; the characteristic lines a highlights in the file name "CrK" = Cr-K, "MoL" = Mo-L, "SiK" = Si-K, "OK" = O-K Fig4 = Atome probe tomography datasets according to Cameca file standards Fig6 = Electron backscatter diffraction maps as fully annotated *.ang file FigS1 = X-ray diffraction patterns of the as cast condition as background-subtracted intensity (in 1) as a function of 2Theta diffraction angle (in °) FigS2 = X-ray diffraction patterns of the oxidized material (100 h at 800°C = "800C" and 1100°C = "1100C") as background-subtracted intensity (in 1) as a function of 2Theta diffraction angle (in °) FigS3 = Energy-dispersive X-ray spectroscopy maps as fully annotated comma-separated matrix file; the characteristic lines a highlights in the file name "CrK" = Cr-K, "MoL" = Mo-L, "OK" = O-K FigS4 = time-dependent (in h) scale thicknesses determined form scanning electron micrographs of oxide scales (in µm); "internal_corrosion_zone" denotes the thickness of the internally oxdized regions; "800C" denotes 800°C and "1100C" denotes 1100°C FigS5 = Electron backscatter diffraction maps as fully annotated *.ang file
Data from "Overcoming barriers for high temperature alloys: oxidation and ductility"
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.
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)
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 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 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.
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)
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.
Institut für Technische Chemie und Polymerchemie
Institut für Katalyseforschung und -technologie
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
Physics Centre of Minho and Porto Universities (CF-UM-PT), University of Minho
Leibniz Institut für Analytische Wissenschaften-ISAS-e.V.
Institute of Plasma and Nuclear Fusion, Technical Superior Institute, University of Lisbon; Centro de Ciências e Tecnologias Nucleares, Instituto Superior Técnico, Universidade de Lisboa
Institute of Solid State Physics, University of Latvia
International Iberian Nanotechnology Laboratory
Institute of Plasma and Nuclear Fusion, Technical Superior Institute, University of Lisbon
KNMF, IFG, Karlsruhe Institute of Technology
The influence of Sb doping on the local structure and disorder in thermoelectric ZnO:Sb thin films
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.
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.
Institut für Katalyseforschung und -technologie (IKFT), Karlsruher Institut für Technologie (KIT)
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
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 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 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 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 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 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 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.
"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.
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.
Please contact the GLORIA team at KIT or Jülich before using the data for scientific studies.
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/
We present high resolution measurements of trace species (e.g.: O3, H2O, HNO3, PAN, C2H6, HCOOH, NH3, BrONO2, ClONO2) in the Upper Troposphere and Stratosphere from the Gimballed Limb Observer for Radiance Imaging of the Atmosphere Balloon version (GLORIA-B) during the HEMERA campaign with base in Timmins, Ontario, Canada, on board of a high altitude stratospheric research balloon (operated by CNES) 2022.
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 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 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.
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
Processed micro-tomographic scan of the ant OUTGROUP_Ropalidia fasciata, scanned at KIT Light Source. This dataset is part of 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 Automation und angewandte Informatik (IAI), Karlsruher Institut für Technologie (KIT), Institut für Mikrostrukturtechnik (IMT), Karlsruher Institut für Technologie (KIT), Lichttechnisches Institut (LTI), Karlsruher Institut für Technologie (KIT)
The datasets encompas collected training, validation, and test data as well as related mesuared LIG properties. Five dataset include (A) 500 training lines, (B) 100 validation lines and (C) 13 validation rectangles, (D) 50 twofold-control lines, and (E) 10 printed lines used for the demonstrator-circuitry characterization. For each collected sample, laser-beam parameters, and corresponding product (LIG) properties are presented. "Set" indicates input data: grid-distributed in the dataset A, randomly generated in the datasets B-D, and a single calculated value in the dataset E. "Predicted" stands for the neural-network predicted output data. "Measured" represents the actual, physically and optically measured sample properties.
Machine-learning techniques are highly advantageous for automation of a manufacturing process, since they facilitate prediction of the process parameters and product properties. However, the need for process-specific prior knowledge, for elaboration of complex analytical models, and for collection of a comprehensive training dataset notably limits their integration into the real-world applications. We pioneered and studied usage of a streamlined non-analytical approach to predict and optimize process parameters, radically adapted to the conditions of resource and knowledge constraints. The approach was employed for laser-induced graphene, which is an emerging flexible-electronics fabrication technique. The fabrication settings were successfully predicted and controlled by a blackbox neural network from the desired properties of the device, despite a small amount of moderate-quality training data. To prove feasibility of the concept, we designed and manufactured a functional electronic circuit. The proposed procedure is applicable for a broad range of functional materials and fabrication methods.
Datasets to the bidirectional process prediction in the laser-induced-graphene production using blackbox deep learning
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 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.
##### 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"
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 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 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.
Research data and software for the publication: Separating large-scale superposition and modulation in turbulent channels, J. Fluid Mech. 958, A37 (2023). For detailed instructions about this repository, please consult the README.html or README.md file.
Data for the publication: Separating large-scale superposition and modulation in turbulent channels
The ANCISTRUS package derives atmospheric circulation from MIPAS/ENVISAT monthly mean VMR distributions. For detailed description of the method and its validation, see publications 10.5194/acp-16-14563-2016 and 10.5194/acp-2020-72. The Processor Library is a Fortran 90 collection of general computing tools used also in the MIPAS/ENVISAT data processor and elsewhere. Unpack with 'tar xvzf ancistrus_software.tar.gz'. This version of ANCISTRUS is only provided for validation of its functionality and the results in the publications 10.5194/acp-2020-72 and 10.5194/acp-2019-704 and not released for distribution of the original or modified versions. The Processor library is licensed under LGPLv2.1 and may be modified and distributed under the terms of that license. For detailed information, see the README and html documentation inside.
ANCISTRUS software version 1.0.8.6 Processor library version 1.8.0
ANCISTRUS software and Processor library
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.
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.
The superconductor BaNi$_2$As$_2$ exhibits a soft-phonon-driven, incommensurate charge density wave (I-CDW) which emerges in the vicinity of an orthorhombic structural phase transition. Upon further cooling, BaNi$_2$As$_2$ undergoes a first-order structural transition to a triclinic phase in which a commensurate CDW (C-CDW) emerges. The relationship and interplay between the I-CDW, C-CDW and structural phase transitions has remained elusive. To investigate this issue, we present a complementary study of thermal diffuse X-Ray scattering and inelastic X-Ray scattering of both the I-CDW and C-CDW for phosphorus substituted BaNi$_2$(As$_{1-x}$P$_x$)$_2$ up to \(x\approx0.12\) and down to 2.2 K.
The data set is divided into inelastic x-ray scattering (IXS) and diffuse x-ray scattering (DS) data. Then, for each method, the data is separated into the different samples. The IXS data is the complete SPEC file including all alignment scans and the actual measurement scans. The DS data are the raw image files from the Pilatus3 X 1M detector. The file format is the Dectris CBF file format and includes additional metadata about the measurement conditions. Each folder contains all images of a scan. The folder names indicate the measured temperature and, if applicable, the gamma angle of the detector. The measurements were performed at the main station (IXS) and the side station (DS) of the beamline ID28 at the ESRF.
Charge density waves and soft phonon evolution in the superconductor BaNi$_2$(As$_{1-x}$P$_x$)$_2$ [Dataset]
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.
Crop residue management for cereals on a 0.5° global grid on an annual time-scale (1997- 2021). The dataset is based on a collection of existing data sources including livestock, numbers and diets, biomass burning, and residue production ratios. For each grid cell, we estimate the total production residue from cereal crops and determine 1) residues for livestock feed and bedding, 2) residues burned on the field 3) residues used for other off-field purposes and 4) residues left on the field.
Global crop residue management dataset (1997 - 2021)
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
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.
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 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.
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
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.
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.
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 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.
Processed micro-tomographic scan of the ant Trachymyrmex carinatus, scanned at KIT Light Source. This dataset is part of 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, Campus Alpin, Institute of Meteorology and Climate Research - Atmospheric Environmental Research (IMK-IFU)
Increasing frequencies of droughts require proactive preparedness, particularly in semi-arid regions. As forecasting of such hydrometeorological extremes several months ahead allows for necessary climate proofing, we assess the potential economic value of the seasonal forecasting system SEAS5 for decision making in water management. For seven drought-prone regions analyzed in America, Africa, and Asia, the relative frequency of drought months significantly increased from 10 to 30% between 1981 and 2018. We demonstrate that seasonal forecast-based action for droughts achieves potential economic savings up to 70% of those from optimal early action. For very warm months and droughts, savings of at least 20% occur even for forecast horizons of several months. Our in-depth analysis for the Upper-Atbara dam in Sudan reveals avoidable losses of 16 Mio US$ in one example year for early-action based drought reservoir operation. These findings stress the advantage and necessity of considering seasonal forecasts in hydrological decision making.
The dataset contains the time series (ensemble forecasts, reanalysis data) and shape files which have been used for computing the different indicators in the article "Seasonal forecasts offer economic benefit for hydrological decision making in semi-arid regions".
Seasonal forecasts, drought, climate trends, reanalysis, ERA5, SEAS5
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.
DAMAST-KIT-Spartak: oriented drill core data
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.
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 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 Dacetinops 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 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.
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"
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
Deutsches Zentrum für Luft- und Raumfahrt
Detailed information on the GLORIA data can be found at: Johansson, S., Woiwode, W., Höpfner, M., Friedl-Vallon, F., Kleinert, A., Kretschmer, E., Latzko, T., Orphal, J., Preusse, P., Ungermann, J., Santee, M. L., Jurkat-Witschas, T., Marsing, A., Voigt, C., Giez, A., Krämer, M., Rolf, C., Zahn, A., Engel, A., Sinnhuber, B.-M., & Oelhaf, H. (2018), Airborne limb-imaging measurements of temperature, HNO3, O3, ClONO2, H2O and CFC-12 during the Arctic winter 2015/2016: characterization, in situ validation and comparison to Aura/MLS. Atmos. Meas. Tech., 11, 4737–4756. doi.org/10.5194/amt-11-4737-2018 Ungermann, J., Kleinert, A., Maucher, G., Bartolomé, I., Friedl-Vallon, F., Johansson, S., Krasauskas, L., & Neubert, T. (2022), Quantification and mitigation of the instrument effects and uncertainties of the airborne limb imaging FTIR GLORIA. Atmos. Meas. Tech., 15, 2503–2530. doi.org/10.5194/amt-15-2503-2022 Detailed information on the ALIMA data can be found at: Rapp, M., Kaifler, B., Dörnbrack, A., Gisinger, S., Mixa, T., Reichert, R., Kaifler, N., Knobloch, S., Eckert, R., Wildmann, N., Giez, A., Krasauskas, L., Preusse, P., Geldenhuys, M., Riese, M., Woiwode, W., Friedl-Vallon, F., Sinnhuber, B., Torre, A. d. l., Alexander, P., Hormaechea, J. L., Janches, D., Garhammer, M., Chau, J. L., Conte, J. F., Hoor, P., & Engel, A. (2021), SOUTHTRAC-GW: An Airborne Field Campaign to Explore Gravity Wave Dynamics at the World’s Strongest Hotspot. Bulletin of the American Meteorological Society, 102(4), E871-E893. doi.org/10.1175/BAMS-D-20-0034.1 Kaifler, B., & Kaifler, N. (2021), A Compact Rayleigh Autonomous Lidar (CORAL) for the middle atmosphere. Atmos. Meas. Tech., 14, 1715–1732. doi.org/10.5194/amt-14-1715-2021 Detailed information on the BAHAMAS data can be found at: Krautstrunk, M., & Giez, A. (2012), The Transition from FALCON to HALO era airborne atmospheric research. in: Atmospheric Physics, edited by: Schumann, U., Research Topics in Aerospace, Springer Verlag, Berlin, 609–624. doi.org/10.1007/978-3-642-30183-4_37 Giez, A., Mallaun, C., Nenakhov, V., & Zöger, M. (2021), Calibration of a Nose Boom Mounted Airflow Sensor on an Atmospheric Research Aircraft by Inflight Maneuvers (Tech. Rep. No. 2021-17). Oberpfaffenhofen: DLR. Retrieved from https://elib.dlr.de/145969/
This dataset includes airborne observations together with forecasts and analyses that were used to study non-orographic gravity waves during research flight ST10 of the SouthTRAC campaign. The flight was carried out by the German research aircraft HALO (High Altitude and LOng Range Research Aircraft) on 16 and 17 September 2019 from Rio Grande, Tierra del Fuego, Argentina. The airborne observations include remote sensing observations of temperature and trace gases by GLORIA (Gimballed Limb Observer for Radiance Imaging of the Atmosphere by KIT and Forschungszentrum Jülich) and temperature by ALIMA (Airborne LIdar for Middle Atmosphere research by DLR-IPA). Furthermore, airborne in situ observations of temperature, the three wind components and further parameters by BAHAMAS (Basic Halo Measurement and Sensor System by DLR-FX) at a data rate of 10 Hz and 100 Hz are included. The observations are also available via the HALO database (https://halo-db.pa.op.dlr.de/ongoing_subset/1108). The forecasts and analyses include deterministic short-term forecasts and six-hourly operational analyses from the integrated forecast system (IFS) of the European Centre for Medium-Range Weather Forecasts (ECMWF). ECMWF IFS data are available at https://www.ecmwf.int/en/forecasts. The terms of use by the ECMWF apply.
GLORIA, ALIMA, BAHAMAS and ECMWF IFS data for SouthTRAC flight 10 from 16 to 17 September 2019
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 folder contains videos of face masks (Mask) being transported with a given flow condition (V3) in physical laboratory experiments.
Surfaced and suspended plastic: Mask_V3 (videos)
Column names indicate parameter and resulting KPI values, row indizees indicate unique part number location combination
Aggregated and anonymized results on which graphics in associated dissertation base
Parameters and KPIs from the Real Data Use Case of Dissertation
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 Strumigenys 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.
Institut für Biologische Grenzflächen (IBG), Karlsruher Institut für Technologie (KIT), Karlsruher Institut für Technologie (KIT), Karlsruher Institut für Technologie (KIT)
Contains TopSpin raw data and high-resolution figures
Hyperpolarized pyruvate is a widely used marker to track metabolism in vivo and a benchmark molecule for hyperpolarization methods. Here, we show how a combination of improved bullet-DNP instrumentation, an optimized sample preparation and a further sensitivity increase via a 13C–1H polarization transfer after dissolution enable the observation of pyruvate at a concentration of 250 nM immediately after dissolution. At this concentration, the experiment employs a total mass of pyruvate of only 20 ng or 180 pmol. If the concentration is increased to 45 μM, pyruvate may be detected 1 min after dissolution with a signal-to-noise ratio exceeding 50. The procedure can be extended to observe a mixture of amino acids at low micromolar concentrations.
Bullet-DNP enables NMR Spectroscopy of Pyruvate and Amino Acids at Nanomolar to Low Micromolar Concentrations (Datasets)
Processed micro-tomographic scan of the ant Phrynoponera gabonensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with 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 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 Polyrhachis lucidula, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with 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 Dacatria templaris, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with 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 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.
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
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.
This folder contains videos of full plastics cups (Cup_PP_100) being transported with a given flow condition (V2) in physical laboratory experiments.
Surfaced and suspended plastic: Cup_PP_100_V2 (videos)
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.
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
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.
This code has been used for the numerical experiments in the thesis "Error Analysis of Exponential Integrators for Nonlinear Wave-Type Equations" by Benjamin Dörich, see https://www.doi.org/10.5445/IR/1000130187.
## Readme This program is intended to reproduce the results from the thesis "Error Analysis of Exponential Integrators for Nonlinear Wave-Type Equations" by Benjamin Dörich #### 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 (quasilinear only:) - dolfin - 2018.1.0 - fenics - 2018.1.0 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 (quasilinear only:) - dolfin - 2019.2.0.dev0 - fenics - 2019.2.0.dev0 #### Figure 4.2 In the folder "semilinear_low_reg/Fig_convergence" open a console and run the following commands after each other. 1) Run "python3 run_diss_Strang_N_2pw09.py" 2) Run "python3 run_diss_Strang_N_2pw10.py" 3) Run "python3 run_diss_Strang_N_2pw11.py" After running the calculations, the errors can be found in the folder "results" as tikz-files. #### Figure 4.3 In the folder "semilinear_low_reg/Fig_inner_filter" open a console and run the following commands after each other. 1) Run "python3 run_diss_Strang_N_2pw09.py" 2) Run "python3 run_diss_Strang_N_2pw10.py" 3) Run "python3 run_diss_Strang_N_2pw11.py" After running the calculations, the errors can be found in the folder "results" as tikz-files. #### Figure 7.1 In the folder "quasilinear_expo" open a console and run the following commands after each other. 1) Run "python3 1_generate_initial_matrices.py" 2) Run "python3 2_diss_run_reference_solution.py" 3) Run "python3 3_diss_run_Euler_X.py" 4) Run "python3 4_diss_run_Euler_Y.py" 5) Run "python3 5_diss_run_midpoint.py" After running the calculations, the errors can be found in the folder "quasilinear_expo/extracted_data/". (a) settings_* contains the information of the config file (b) infos_* contains the computed errors (c) plot_* contains a tikz-file which gives the plot for the Euler and the midpoint rule separately.
Numerical experiments to "Error Analysis of Exponential Integrators for Nonlinear Wave-Type Equations"
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 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.
Processed micro-tomographic scan of the ant Cryptopone 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 Hylomyrma 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 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.
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 Paratrachymyrmex cf intermedius, scanned at KIT Light Source. This dataset is part of 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 "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"
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 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 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 Tetramorium brevispinosum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Ziel des Datensatzes ist das Training sowie die Validierung von Modellen zur Prognose von Zeitreihen für Fräsprozesse. Hierfür wurden an einer DMG CMX 600 V durch eine Siemens Industrial Edge Prozesse mit einer Abtastrate von 500 Hz aufgenommen. Es wurde ein Prozess für das Modelltraining und ein Prozess für die Validierung aufgenommen, welche sowohl für die Bearbeitung von Stahl sowie von Aluminium verwendet wurden. Es wurden mehrere Aufnahmen mit und ohne Werkstück (Aircut) aufgenommen, um möglichst viele Fälle abdecken zu können.
Documents: -Design of Experiments: Information on the paths such as the technological values of the experiments -Recording information: Information about the recordings with comments -Data: All recorded datasets. The first level contains the folders for training and validation both with and without the workpiece. In the next level, the individual test executions are located. The individual recordings are stored in the form of a JSON file. This consists of a header with all relevant information such as the signal sources. This is followed by the entries of the recorded time series. -NC-Code: NC programs executed on the machine -Workpiece: Pictures of the raw parts as well as the machined workpieces. The pictures show the unfinished part on the left, the training part in the middle and a part with two validation runs on the right. Experimental data: -Machine: 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 aim of the data set is the training as well as the validation of models for the prediction of time series for milling processes. For this purpose, processes with a sampling rate of 500 Hz were recorded on a DMG CMX 600 V by a Siemens Industrial Edge. A process for model training and a process for validation were recorded, which were used for both steel and aluminum machining. Several recordings were made with and without the workpiece (aircut) in order to cover as many cases as possible.
Training and validation dataset of milling processes for time series prediction
The data for all simulations discussed in the main paper are provided as Numpy npz files. See the readme file for a detailed description of the file contents.
Heterogeneous roughness in the form of streamwise aligned strips is known to generate large scale secondary motions under turbulent flow conditions that can induce the intriguing feature of larger flow rates above rough than smooth surface parts. The hydrodynamical definition of a surface roughness includes a large scale separation between the roughness height and the boundary layer thickness which is directly related to the fact that the drag of a laminar flow is not altered by the presence of roughness. Existing simplified approaches for direct numerical simulation (DNS) of roughness strips do not fulfill this requirement of an unmodified laminar base flow compared to a smooth wall reference. It is shown that disturbances induced in a modified laminar base flow can trigger large scale motions with resemblance to turbulent secondary flow. We propose a simple roughness model that allows to capture the particular features of turbulent secondary flow without impacting the laminar base flow. The roughness model is based on the prescription of a spanwise slip length, a quantity that can directly be translated into the Hama roughness function for a homogeneous rough surface. The heterogeneous application of the slip length boundary condition results in very good agreement with existing experimental data in terms of the secondary flow topology. In addition, the proposed modelling approach allows to quantitatively evaluate the drag increasing contribution of the secondary flow. Both the secondary flow itself and the related drag increase reveal a very small dependence on the gradient of the transition between rough and smooth surface parts only. Interestingly, the observed drag increase due to secondary flows above the modelled roughness is significantly smaller than the one previously reported for roughness resolving simulations. We hypothesize that this difference arises from the fact that roughness resolving simulations cannot truly fulfill the requirement of large scale separation.
Dataset: Simulation of turbulent flow over roughness strips
Processed micro-tomographic scan of the ant Megalomyrmex aff 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.
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
This Supplemental Data Packet contains the raw data, simulation code and analysis scripts used in the above mentioned publication
Supplemental Data to "Band resolved Caroli-de Gennes-Matricon states of multiple-flux-quanta vortices in a multi-band superconductor"
DeMott_et_al_FIN-02_AMTpaper_directproc_datatable.csv and DeMott_et_al_FIN-02_AMTpaper_postproc_datatable.csv data table from DeMott et al. (2018), AMT, Supplement Table 1 and 2, resp. DeMott_et_al_FIN-02_AMTpaper_*.txt are the corresponding descriptions for the datatables DeMott_et_al_FIN-02_AMTpaper_asd_AIDA12_-648.csv: AIDA aerosol size distribution for experiment 12 and DeMott_et_al_FIN-02_AMTpaper_asd_APC12.zip: APC aerosol size distribution for experiment 12 as shown in Figure 2
INP and aerosol size distribution data from the FIN02 campaign in March 2015
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 Typhlomyrmex cf 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.
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 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.
Model results from ExoTIC for chemical species of HOCl, ClONO2, ozone and NOy for MIPAS inter-comparison are stored. Model results with MIPAS averaging kernels applied are also stored here along with zonal averaged MIPAS data. The simulations are carried out for the Halloween SPE of 2003 using ionisation rates from AISstorm for the MIPAS comparison. Model data for the comparison of Halloween SPE 2003 and an extreme solar event of 775 A.D. are stored as well. More information about the naming conventions is given in Description of datasets.pdf.
ExoTIC model results for model-measurement inter-comparison with MIPAS; ExoTIC model results for comparison of Halloween SPE and extreme event of 775 A.D.
Cyclic voltammetry simulation code comprises of ORCA output files parser (parsers.py) which extracts thermodynamic results of quantum chemical calculations. database_builder.py collects thermodynaimc data from ORCA calculations to .csv table. data_manager.py generates all possible combinations of species from .csv table generated by database_builder.py and creates a table with reaction thermodynamic and kinetic parameters. CV.py code produces cyclic voltammetry simulation of a system of reaction from the reactions database generated by data_manager.py. data.py file contains experimental values of solvents dielectric permitivities and refractive indexes, and also includes data about solvents viscosity. To use this code execute Main_code.py which links all previously mentioned files all together.
Ab initio Kinetics of Electrochemical Reactions using Computational Ferrocenium Electrode - Simulation code
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.
The data was processed using TopSpin software from Bruker, Germany
Direct Chiral discrimination with NMR: Experiment Dataset
Processed micro-tomographic scan of the ant Monomorium pharaonis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
These are raw data of the manuscript titled "A cryogen-free, semi-automated apparatus for bullet-dynamic nuclear polarization with improved resolution", submitted to Magnetic Resonance for peer review.
NMR 1-13C Experiments on hyperpolarized pyruvic acid (TopSpin data)
This dataset contains FAIR records which describe the tribological experiment Copper under Constant Normal Load #0021, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0021 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
rem- und STEM-Bilder; Reibungsrohdaten, EBSD- und TKD-Rohdaten; EDX-Rohdaten
Rohdaten zu Manuskript Antje Dollmann et al.; November 2019
A README.md in german language is included in the Archive
Software zur Überprüfung von Schutzzielen der Informationssicherheit durch Aufzeichnung und Wiedergabe virtueller Maschinen
This folder contains videos of small plastic films (Film_HDPE_15) being transported with a given flow condition (V2) in physical laboratory experiments.
Surfaced and suspended plastic: Film_HDPE_15_V2 (videos)
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 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.
Processed micro-tomographic scan of the ant Iridomyrmex anceps, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Nonlocal interaction engineering of 2D roton-like dispersion relations in acoustic and mechanical metamaterials
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.
Electrical Conductivity and Photodetection in 3D-Printed Nanoporous Structures via Solution-Processed Functional Materials
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
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.
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
openCARP is an open cardiac electrophysiology simulator for in-silico experiments.
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 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 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.
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 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 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.
Fraunhofer Institute of Optronics, System Technologies and Image Exploitation
Bundesministerium für Wirtschaft und Energie
Übersicht KAMO-Datensätze: www.kamo.one/datensatz
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
This repository contains a curated collection of IEC 61850 Substation Configuration Description (SCD) files, generated and validated in controlled test laboratory environments. The files reflect real-world substation automation and protection system configurations but do not represent live operational systems. They are provided to enable open research and experimentation within the power systems and cybersecurity domains. Each file follows the IEC 61850 Substation Configuration Language (SCL) standard, which defines the XML-based structure for describing substations, devices, communication networks, and logical data models. To assist researchers, key metadata has been extracted and formatted as structured JSON summaries. SCD Files – Complete substation configurations, including multiple IEDs, communication networks, and logical nodes. JSON Metadata – Parsed metadata for each file, containing: * Header details (version, revision, tool ID) * Substation topology (if present) * Communication parameters * IED manufacturer and configuration info * DataTypeTemplates summary (data model definitions) Purpose and Usage The dataset supports research in: Cybersecurity testing and resilience for substation communication networks Interoperability and standard compliance across vendor IEDs Machine learning and automation in configuration management Topology and semantic analysis of IEC 61850 data models Researchers and developers are encouraged to use this dataset for non-commercial academic and research purposes, especially in: Network intrusion detection and anomaly detection models Validation of secure communication architectures Training and testing of IEC 61850 configuration parsers License and Disclaimer This dataset is distributed under an open research license. You are free to use, modify, and share the files for research and educational purposes, provided that proper citation is given. Disclaimer: The files originate from simulated and test bed environments. No operational or confidential power system data is included. Use of this dataset is at your own discretion, and the maintainers assume no liability for derived work.
This dataset contains a collection of IEC 61850 System Configuration Description (SCD) files extracted from substation automation and protection system projects. Each file follows the Substation Configuration Language (SCL) defined in the IEC 61850 standard and encodes detailed engineering metadata for intelligent electronic devices (IEDs), communication networks, and data models used in electric power substations. The dataset was curated to support research and benchmarking in the areas of: Cybersecurity of IEC 61850 Substation systems Metadata from each file (Header, Substation, Communication, IED, and DataTypeTemplates sections) has been parsed and exported into corresponding JSON summaries to facilitate machine-readable search, indexing, and comparative analysis. These files represent complete substation configurations (SCD) created using vendor-specific tools such as RTDS Configurator, SEL AcSELerator, and OMICRON IEDScout. Duplicate and structurally similar files have been identified and documented. Researchers may use this dataset to explore schema variations, conduct cybersecurity experiments, validate SCL structures against IEC 61850 editions, develop interoperability frameworks, or train models for automated configuration management. Sensitive operational data has been excluded to maintain compliance with information-sharing and cybersecurity best practices.
IEC 61850 Data sets (SCD files) and their Metadata
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 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.
Department of Prosthetic Dentistry, Center for Dental Medicine, Medical Center - University of Freiburg
Department of Oral Biotechnology, Center for Dental Medicine, Medical Center ‑ University of Freiburg
G.E.R.N. Center for Tissue Replacement, Regeneration & Neogenesis; Department of Prosthetic Dentistry, Center for Dental Medicine, Medical Center - University of Freiburg
zirconia; nano-/microparticles; Time-of-Flight Secondary Ion Mass Spectrometry (ToF-SIMS); human alveolar bone; alamarBlue assay
Identification of zirconia nanoparticle internalization into osteoblasts by ToF-SIMS reveals size-dependent effects on mitochondrial activity
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 2005 - 2014
Institut für Angewandte Informatik und Formale Beschreibungsverfahren
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.
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.
Inv3D: a high-resolution 3D invoice dataset for template-guided single-image document unwarping - Train split part 1 of 4
%%%%% How to interpret the simulation results %%%%%: %%% Main folder naming %%%: "village-future": The simulation scenario (grid and building configuration) "hhOpt": Buildings (households) can optimize their internal energy flows "ONT/RONT": Normal distribution transformer/voltage regulated distribution transformer (VRDT) "QEMS": Quarter energy management system, means that at least one grid control strategy is used "P/Q/PQ/noPQ/noControl": P=active power targets can be used, Q=reactive power control can be used, noPQ=only VRDT can be used, noControl=no grid control at all "full/local-only": Centralized/decentralized grid control strategy "GSUI-60": Grid simulation update interval=60 seconds "d_1970_6_30_0": Start of simulated time is 30 June 1970 00:00 AM %%% Subfolder naming %%%: "s_13749851": Random seed configuration "run_2021-05-25-16-38-29": Starting time of simulation run %%% Subsubfolder naming %%%: "nodeX": Folder for a particular building, numbered according to the grid node, where each building is connected %%% Log files for the entire grid %%%: In general: currentTick is given in Unix time activePowerLog: Active power progressions at all grid nodes in Watt reactivePowerLog: Reactive power progressions at all grid nodes in Var buildingsAggregatedLog: Various power progressions aggregated for all buildings in the grid in Watt currentLog: Current progressions for all lines in the grid in Ampere gridSimulationAggregated: Various grid characteristics aggregated over the entire simulation run, voltages and line utilizations are normalized to nominal values mediumVoltageAggregated: Aggregated characteristics of the voltage at the primary side of the transformer in pu mediumVoltageLog: Progression of the voltage at the primary side of the transformer in pu transformerAggregatedLog: Aggregated characteristics of the transformer, temperatures are given in °C, remaining values have to unit transformerStepLog:Progression of VRDT steps, remains 0 if no VRDT is used, no unit transformerTemperatureLog: Progression of various transformer characteristics, temperatures are given in °C, remaining values have to unit voltageLog: Progressions of voltages at all nodes in the grid in pu %%% Log files for specific buildings %%%: DISHWASHER/DRYER/ELECTRICSTOVE/INDUCTIONCOOKTOP/WASHINGMACHINE: TOTAL=number of planned appliance runs, AVGTOTAL=number of expected appliance runs based on probality distributions, REALTOTAL=number of realized appliance runs, TOTAL0/TOTAL1=number of realized appliance runs for different running profiles batteryLog: Progressions of battery energy storage system active charge/discharge power in Watt, reactive charge/discharge power in Var and state of charge in Watt*second, positive values denote charging, negative values discharging electricVehicleLog: Progressions of electric vehicle active charge power in Watt, reactive charge power in Var powerLog: Progressions of various building powers in Watt, prices and costs in Euro-cent simResultsAggregated: Various aggregated energy amounts in kWh and costs in Euro-cent
Simulation Results for the Evaluation of Strategies for an Adaptive Grid Control System Using Smart Buildings
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.
Data points from figures can be obtained by csv-files. These files are named after the number of the respective figure. The technical conditions under which the data were recorded can be obtained from the text at the respective position in the paper.
The integrity of metallic interconnectors (MIC) in an SOC-stack is crucial since contact resistances or limitations in gas supply may occur. In this contribution, a Crofer 22 APU$^®$ interconnector with a $\textrm{(Mn, Co, Fe)}_{3}\textrm{O}_{4}$ spinel oxide (MCO) coating and a lanthanum-strontium-manganese-cobalt oxide (LSMC) contact layer at the air side was investigated. The electrochemical behavior was characterized by means of IV-characteristics, impedance spectroscopy and DRT analysis. In particular, the contact losses at the air side were measured with targeted potential probes. With respect to the contact layer mounted in a dried state, the application of a stack-like clamping pressure of 1 MPa showed a significant decrease of the contact resistance. In order to extend an existing zero-dimensional performance model for an electrolyte-supported cell with a Ni/GDC fuel electrode and LSCF air electrode, a method was established to parameterize contact losses at the air electrode. The observed activation energy of the contact losses showed to be independent of the clamping pressure. Additionally, the dependency of the cell´s intrinsic ohmic losses towards the steam partial pressure at the Ni/GDC fuel electrode was quantified and included to the model. Simulation studies were validated with experimental data for technical operating conditions.
Stack-like Contacting in Solid Oxide Cells: Electrochemical Characterization and Modeling
Processed micro-tomographic scan of the ant OUTGROUP_Polistes formosanus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Dissertation_Kempter,Xenia_Gelatine-basierte Hydrogele fuer den 3D Biodruck von Gewebemodellen
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.
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 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 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.
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 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 Formica rufa, scanned at KIT Light Source. This dataset is part of 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)
Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology, Karlsruhe, Germany
Institute of Atmospheric Science and Climate, National Research Council of Italy, Bologna, Italy
Univ. Grenoble Alpes, CNRS, IRD, G-INP, Institut des Géosciences de l’Environnement, Grenoble, France
Dataset for the paper entitled "AIDA Arctic transport experiment part 1: simulation of northward transport and ageing effect on fundamental black carbon properties" by Zanatta et al. (2025)
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
This is the MUSICA IASI dataset of {H2O, dD} pairs used for the publication "Disentangling different moisture transport pathways over the eastern subtropical North Atlantic using multi-platform isotope observations and high-resolution numerical modelling" (Dahinden et al., 2021, https://doi.org/10.5194/acp-2021-269). It includes the MUSICA IASI {H2O, dD} pair results over Tenerife for the period July - August 2013. Information about the MUSICA IASI dataset can be found in Diekmann et al. (2021, https://doi.org/10.5194/essd-2021-87).
Ministerium für Wissenschaft, Forschung und Kunst Baden-Württemberg
Atmospheric Composition, H2O, HDO, Water Vapour, Water Vapour Isotopologues
Data for "Disentangling different moisture transport pathways over the eastern subtropical North Atlantic using multi-platform isotope observations and high-resolution numerical modelling"
The data of each figure is generally structured in a way that i) the linestyle is used to differentiate multiple curves within the same plot and ii) the color is used to subdivide the plot data into multiple files in case of ambiguity. For instance, data corresponding to a solid line is given by the two columns "xData_solid" and "yData_solid". The same naming structure is used for dashed lines, i.e., "xData_dashed" and "yData_dashed", and dotted lines, i.e., "xData_dotted" and "yData_dotted". To differentiate lines or bars with the same color, the data files are explicitly labeled with the respective legend entry. For example, a C-rate test comprising C/10, 1C and 2C discharge is organized into three distinct files, each file corresponding to one of the C-rates. The values in each data file are given in the units specified in the corresponding figure of the manuscript. In labels, a C-rate of C/10 and C/2 is described as "C10" and "C2", respectively. C-rates above 1C are used verbatim. For details on the performed experimental study, see the Experimental Section in the manuscript. For information about the SEI-extended cell model and its parameterization, see Computational Methods in the manuscript.
Research Data of the Publication "Origin of Performance Improvements in Lithium-Ion Cells after Fast Formation"
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 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 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 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.
This folder contains videos of fragments of plastic cups (Cup_PP_50) being transported with a given flow condition (V1) in physical laboratory experiments.
Surfaced and suspended plastic: Cup_PP_50_V1 (videos)
Processed micro-tomographic scan of the ant Camponotus nicobarensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with 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 Terataner 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 Dorylus 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.
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
Release notes: https://git.scc.kit.edu/mpp/mpp/-/tags/3.1.4
Werkstoffkunde (IAM-WK), Karlsruher Institut für Technologie (KIT)
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 % depnding on context. Durations are provided in h. Strain/creep rates are provided in 1/s. Phase fractions are provided in vol%.
Data from "Creep behavior of a precipitation-strengthened A2-B2 refractory high entropy alloy"
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
Processed micro-tomographic scan of the ant Euprenolepis cf wittei, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with 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.
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 Camponotus lighti, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Micro-scaffolds as synthetic cell niches recent advances and challenges
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.
# Readme Unzip the file. The source code is inside. ## Files - `main_DUNE.cpp` contains the main function, which calls `print_excl_curve<CLASS>(N_ threads, parameters..., EV, STEP_LEN, ...)`, which uses the predictor defined by `CLASS`, to find the `EV` events/year curve in parameter space starting at `parameters...`and using length `STEP_LEN`. For the pure dipole case, the mass-mixing parameter `Usq` is normally set to zero. Note that the program automatically uses `N_threads` threads, whose default value is 4. Use `run.sh` to use the correct number of processors. - In `pred_in_out_DUNE.hpp`, a wrapper class is defined, which contains both the inside- and outside-events predictor. - The files `predictor_DUNE.*` contain the class for the outside-events predictor. This class inherits from `predictor_base.hpp`, which deals with the precomputation and tabulation of the kinematic factors in the integrand, like the cross section and anything depending only on the momenta and scattering angle of the incoming and outgoing neutrino. It also inherits its constants from `consts/DUNE_{FD,ND}_consts.hpp`, which allows easy switching between the near-detector or far-detector geometry. - Similarly, the file `inside_pred_DUNE.hpp` defines the inside-events predictor, which also inherits its geometric constants from `consts/DUNE_{FD,ND}_consts.hpp`. - After running `compile-all.sh`, which compiles relevant `*.cpp` files into object files, run `compile-dune.sh`, which compiles `main_DUNE.cpp` with the object files into the binary `a.out`. Note that you have to recompile if changing class inheritance. To compile with debug flags, first run `compile-all.sh 1` and then `compile-dune-debug.sh`.
Institut für Funktionelle Grenzflächen - Chemische Biologie (IFG-CB), Karlsruher Institut für Technologie (IFG)
Federal Ministry of Education and Research
3D bioprinting, bioinks, hydrogels, cell encapsulation, gelatin, thiol-ene chemistry, tissue engineering
Tuning Superfast Curing Thiol-Norbornene-Functionalized Gelatin Hydrogels for 3D Bioprinting
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
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 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 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.
Institut für Angewandte Biowissenschaften (IAB), Karlsruher Institut für Technologie (KIT)
Drug-induced differential gene expression analysis (DGEA) is an essential tool for uncovering the molecular basis of phenotypic changes in cells upon drug treatment, and ultimately for understanding the mechanisms of individual tumor responses to anticancer drugs. Performing high-throughput DGEA after drug treatment is challenging due to the very high cost and labor-intensive multi-step sample preparation protocols. In particular, performing drug-induced DGEA on cancer cells derived from patient biopsies is even more challenging due to the scarcity of available cells. We introduce a novel, miniaturized method operating at the nanoliter scale for drug-induced DGEA. This innovative approach facilitates high-throughput and parallel analysis of the drug response of cells derived from patients, effectively circumventing issues related to limited samples and the laborious nature of traditional protocols. The method is based on the Droplet Microarray (DMA) platform, a microscope glass slide with a pattern of hydrophilic spots separated by a superhydrophobic background, which enables the formation of droplets suitable for testing a minute number of cells with compounds. DMA allows for phenotypic analysis using microscopy, followed by obtaining cDNA from the treated cells and DGEA. The procedure involves cell lysis for mRNA isolation and cDNA conversion on DMA, followed by pooling of the droplets and subjecting them to qPCR analysis. In this work, we demonstrate the protocol for drug-induced DGEA on the DMA platform using cell lines and primary patient-derived chronic lymphocytic leukemia (CLL) cells. The methodology established here is critical for performing DGEA on a limited number of cells, with potential applications in functional precision oncology. In this way, this method helps to gain insights from the molecular profiling of unique patient-derived samples after drug treatment in vitro, which is essential for understanding individual tumor response to anticancer drugs.
The provided data are technical repeats from the research experimental details. including qPCR data and image analysis for cellular viability.
Drug-Induced Differential Gene Expression Analysis on Nanoliter Droplet Microarrays: Enabling Tool for Functional Precision Oncology
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.
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.
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.
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.
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
Processed micro-tomographic scan of the ant Adelomyrmex samoanus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
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
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 Procryptocerus hirsutus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with 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 clypeatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with 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.
Processed micro-tomographic scan of the ant Sericomyrmex cf 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.
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
Bundesanstalt für Arbeitsschutz und Arbeitsmedizin (BAuA), Dortmund
Fakultät für Chemie und Biowissenschaften (CHEM-BIO), Karlsruher Institut für Technologie (KIT)
Fourier-transform infrared (FT-IR) data of pristine PVdF and PVdC powders and soaked in AlCl3:EMImCl PVdF and PVdC. Raman data of PVdF and PVdC powders. Furthermore, in AlCl3:EMImCl ionic liquid soaked PVdF and PVdC. 19F-NMR (nuclear magnetic resonance) data of ionic liquid electrolyte (black liquid) after soaking PVdF for 1 hour and electrolyte soaked for 12 hours. Galvanostatic cycling with potential limitation (GCPL) data in the potential window of 0.30 V-2.30 V at a current density of 20 mA.g-1 of PVdF- and PVdC-based graphite positive electrodes at different cycle numbers. Corresponding cyclic voltammograms (CVs) data with a scan rate of 0.20 mV.s-1 at different cycles.
Rechargeable Aluminum Batteries (RABs) use a Lewis acidic Aluminum chloride (AlCl3) and 1-Ethyl-3-methylimidazolium chloride (EMImCl) ionic liquid electrolyte. Electrode fabrication often relies on procedures from Lithium-Ion Batteries (LIBs), including the use of Polyvinylidene fluoride (PVdF) as a binder. However, PVdF reacts with Al2Cl7- in the RAB electrolyte, making it unsuitable for new battery types. The literature lacks details on the products formed, changes in the ionic liquid electrolyte, and the implications for electrochemical performance. With potential European Chemical Agency (ECHA) restrictions on per- and polyfluoroalkyl substances (PFAS) by 2025, Polyvinylidene chloride (PVdC) is being explored as an alternative binder. In contact with AlCl3:EMImCl (1.50:1.00) electrolyte, both, PVdF and PVdC transform into amorphous carbon during dehydrofluorination (DHF) and dehydrochlorination (DHC), respectively, as confirmed by Raman spectroscopy. Furthermore, via 19F-NMR, it is shown that the reaction time between the soaked polymers and the ionic liquid has a significant influence on the newly formed aluminum chlorofluoride (ACF) complexes. Electrochemical tests of graphite-based electrodes indicate increasing specific capacity of PVdF compared to PVdC with a continuous number of cycles. Amorphous carbon can prevent the disintegration of graphite and enhance conductivity. Furthermore, newly formed AlF4- can run a co-intercalation and lead to increasing specific capacity.
Side-Reactions of Polyvinylidene Fluoride and Polyvinylidene Chloride Binders with Aluminum Chloride-Based Ionic Liquid Electrolyte in Rechargeable Aluminum-Batteries
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 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.
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"
Werkstoffkunde, Graduiertenkolleg 2561: Materials Compounds from Composite Materials
Code for the implementation of solid solution strengthening models in Matlab R2020a Update 4.
Model code to "Strength of Disordered and Ordered Al‐containing Refractory High Entropy Alloys"
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.
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).
Portable Ice Nucleation Experiment, PINE, Ice-nucleating particle, INP, ice nucleation, PIA Software
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.
Colorado Department of Public Health and Environment
Data for all figures appearing in publication
Dataset for the paper entitled: The Fifth International Workshop on Ice Nucleation Phase 3 (FIN-03): Field Intercomparison of Ice Nucleation Measurements
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 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 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.
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 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 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.
Experimental data of the publication "Unveiling the Interplay of Structural and Electrochemical Degradation of LiNi0.85Mn0.05Co0.05O2 Cathode Material for Li-Ion Batteries", Journal of The Electrochemical Society 2024.
Research Data of the Publication "Unveiling the Interplay of Structural and Electrochemical Degradation of LiNi0.85Mn0.05Co0.05O2 Cathode Material for Li-Ion Batteries"
Processed micro-tomographic scan of the ant Strumigenys morisitai, scanned at KIT Light Source. This dataset is part of 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 .
Allgemeines, Hochschulwesen, Wissenschaft und Forschung
Der vorliegende .csv Datensatz enthält die Variationsarten der subsysteme der iPhone Generationen G1 (iPhone) -15(iPhone 13) und deren Varianten. Zu den Variationen werden die jeweiligen Referenzsystemelemente und die Quellen, aus denen die Information stammt, referenziert.
The present .csv data set contains the variation types of the subsystems of the iPhone generations G1 (iPhone) -15(iPhone 13) and their variants. The respective reference system elements and the sources from which the information originates are referenced for each variation.
This folder contains videos of face masks (Mask) being transported with a given flow condition (V4) in physical laboratory experiments.
Surfaced and suspended plastic: Mask_V4 (videos)
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.
The retrieval processor used is described in von Clarmann et al. (2003, 2009). T. von Clarmann, N. Glatthor, U. Grabowski, M. Höpfner, S. Kellmann, M. Kiefer, A. Linden, G. Mengistu Tsidu, M. Milz, T. Steck, G. P. Stiller, D. Y. Wang, H. Fischer, B. Funke, S. Gil-López, and M. López-Puertas, Retrieval of temperature and tangent altitude pointing from limb emission spectra recorded from space by the Michelson Interferometer for Passive Atmospheric Sounding (MIPAS), J. Geophys. Res., Vol. 108, No. D23, 4736, doi:10.1029/2003JD003602, 2003. T. von Clarmann, M. Höpfner, S. Kellmann, A. Linden, S. Chauhan, B. Funke, U. Grabowski, N. Glatthor, M. Kiefer, T. Schieferdecker, G. P. Stiller, and S. Versick, Retrieval of temperature, H2O, O3, HNO3, CH4, N2O, ClONO2 and ClO from MIPAS reduced resolution nominal mode limb emission measurements, Atmos. Meas. Tech., Vol. 2(1), 159-175, 2009.
This data set contains MIPAS averaging kernels used by König et al, (2019). N. König, P. Braesicke and T. von Clarmann, Tropopause altitude determination from temperature profile measurements of reduced vertical resolution, Atmos. Meas. Tech., accepted for publication, 2019
Institut für Nanotechnologie (INT), Karlsruher Institut für Technologie (KIT)
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"
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.
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.
"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
This code is used for the numerical experiment in Section 2 of the preprint "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 9.4.0) 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 ./main midpoint 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.txt error_time_MidpointRule.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"
Processed micro-tomographic scan of the ant Neivamyrmex klugi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with 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 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.
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).
Institut für Mechanische Verfahrenstechnik und Mechanik (MVM), Karlsruher Institut für Technologie (KIT)
# Degree of substitution of cellulose acetate and other esters: Raw ATR-FTIR spectra and DS data obtained from IR integration, 1H NMR and 31P NMR ## Authors Frank Rhein, Timo Sehn, Michael A.R. Meier ## About This repository contains the raw data used in *"Efficient and accurate determination of the degree of substitution of cellulose acetate using ATR-FTIR spectrosopy and machine learning"*. For detailed information please refer to the original publication upon acceptance. ## Datasets The following data sets are compiled in this repository and published together with raw ATR-FTIR spectra: - `Wolfs.A`: DOI https://doi.org/10.1002/pol.20230220 - Raw ATR-FTIR data - DS data from IR integration, 1H NMR, 31P NMR methods - `Wolfs.B`: DOI https://doi.org/10.1039/D1GC01508G - Raw ATR-FTIR data - DS data from 1H NMR, 31P NMR methods - `Sehn.A`, `Sehn.B`, `Sehn.C`: DOI https://doi.org/10.1021/acs.biomac.3c00762 - Raw ATR-FTIR data - DS data from 1H NMR method An overview is given in `data_overview.xlsx`. ## Structure Raw ATR-FTIR data is contained in the `IR_data_..` folders, while DS values from different methods are found in the respective `.txt` files. > Note: `IR_DS` refers to the integration based method reported in https://doi.org/10.1002/pol.20230220 ## Methods For more information on data generation and analytical setups please refer to the original publications referenced above. DS data based on 1H NMR data is obtained according to the newly reported evaluation routine. ## Evaluation Scripts The Python scripts for data analysis are available on Github under https://github.com/pdhs-group/DS_IR_ML
Degree of substitution of cellulose acetate and other esters: Raw ATR-FTIR spectra and DS data obtained from IR integration, 1H NMR and 31P NMR
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 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.
Konfokal-, REM- und TEM-Bilder; Reibungsdaten; Verschleißdaten
Daten Paper "Graphite Lubrication Mechanisms Under High Mechanical Load", Carina Morstein et al.; März 2021
Bundesministerium für Verkehr, Bau- und Stadtentwicklung
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 2001 - 2010
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 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.
This data is related to the publication "Molecular Analysis of Secondary Organic Aerosol and Brown Carbon from the Oxidation of Indole" by Jiang et al., 2024 in Atmospheric Chemistry and Physics.
Indole (ind) is a nitrogen-containing heterocyclic volatile organic compound commonly emitted from animal husbandry and from different plants like maize with global emissions of 0.1 Tg y-1. The chemical composition and optical properties of indole secondary organic aerosol (SOA) and brown carbon (BrC) are still not well understood. To address this, environmental chamber experiments were conducted to investigate the oxidation of indole at atmospherically relevant concentrations of selected oxidants (OH radicals and O3) with/without NO2. In the presence of NO2, the SOA yields decreased by more than a factor of two but the mass absorption coefficient at 365 nm (MAC365) of ind-SOA was 4.3 ± 0.4 m2 g-1, which was 5 times higher than that in experiments without NO2. In the presence of NO2, C8H6N2O2 (identified as 3-nitroindole) contributed 76 % to the all organic compounds detected by a chemical ionization mass spectrometer, contributing ~50 % of the light absorption at 365 nm (Abs365). In the absence of NO2, the dominating chromophore was C8H7O3N contributing to 20–30 % of Abs365. Indole contributes substantially to the formation of secondary BrC and its potential impact on the atmospheric radiative transfer is further enhanced in the presence of NO2, as it significantly increases the specific light absorption of ind-SOA by facilitating the formation of 3-nitroindole. This work provides new insights into an important process of brown carbon formation by interaction of two pollutants, NO2 and indole, mainly emitted by anthropogenic activities.
Molecular Analysis of Secondary Organic Aerosol and Brown Carbon from the Oxidation of Indole
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 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.
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 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 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.
Simulated concentration data for birch pollen, birch SPP and hydrometeors and atmospheric variable (Part 14)
Processed micro-tomographic scan of the ant Pristomyrmex yaeyamensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with 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 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 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
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"
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.
This is a design for a metal heat exchanger that can be printed using a 3D metal printer.
3D printable heat exchanger for incorporation into a photoresponsive membrane gas permeation test cell
Processed micro-tomographic scan of the ant Crematogaster cf carinata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with 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 commutata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with 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 relicta, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with 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.
This data set contains the scripts and model output needed for the analysis in the paper. Included is output from the ICON, MPI-ESM and IPSL-CM5A models. The simulations were performed with the atmospheric components of the models and with prescribed sea surface temperatures (SSTs). They use a setup with present-day continents and greenhouse gas concentrations, and mimic global warming by a uniform 4K SST increase. The simulations apply the cloud-locking or cloud- and water vapor-locking methods to determine the impact of cloud-radiative changes on the circulation response to global warming. Further details about the simulations and the method can be found in - Albern et al. (2019, https://doi.org/10.1029/2018MS001592) - Voigt et al. (2019, https://doi.org/10.1175/JCLI-D-18-0810.1) and in the paper itself.
Data and scripts for article Albern et al. 2021: "Tropical cloud-radiative changes contribute to robust climate change-induced jet exit strengthening over Europe during boreal winter", Environmental Research Letters
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 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.
Here are the measured values of active energy.
Measured active power of a photovoltaic plant on the roof of IAI-Building
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"
Deutsches Mobilitätspanel (MOP) - Statistiken zur Alltagsmobilität sowie zu Fahrleistung und Kraftstoffverbrauch 2004 - 2013
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 Eutetramorium 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.
Capacitors play a crucial role in modern electronics as they are widely employed for energy storage, signal processing, radiofrequency tuning and matching, and signal filtering. This paper presents a novel approach to chip-scale capacitor fabrication utilizing the laser-induced forward transfer (LIFT) technique, a versatile 3D printing method that offers a flexible and cost-effective alternative to conventional manufacturing processes. Plate capacitors were fabricated through dot-by-dot printing of titanium di-oxide and silver paste layers, and their performance evaluated. Optimal dot circularity at a diameter of 130 μm were achieved with printing parameters of 120 mW for 4 ms, with no noticeable surface defects. Using smaller dots enabled higher resolution, but this compromised the quality of the printed surface. The fabricated capacitors demonstrated a mean capacity of 40.1 pF ± 2.2 pF at 100 MHz, making them suitable also for high frequency applications. The resistivity of the printed silver tracks was 1.25 × 10−7 Ω m, measured over 16 structures, and closely matched the manufacturer’s specifications for the silver ink. The achieved resolution from the dot-by-dot method used in this paper provided greater flexibility in transfer in comparison to previously reported results using a square-shaped transfer geometry.
Dot-by-dot printing of capacitors by LIFT
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.
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 Patagonomyrmex angustus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Different data bases with the simulation results. For the single supply chain location there exist the following data bases: State1.db contains the results for the original data set State1_Baseline.db contains the results for the amplified data sets of the baseline model State1_Adaptive.db contains the results for the amplified data sets of the adaptive model State2.db contains the results for the original and amplified data sets of the adaptive+cost model State2_Comb.db contains the results of the multi-factorial data sets of the adaptive+cost model SQ_Comb.db contains the results for the original, the amplified and the multi-factorial data sets of the (s, q) policy For the supply chain with three nodes there exist the following data bases: SC3N_Central.db contains the result for the original and amplified data set of the central model SC3N_Central_Comb.db contains the result for the multi-factorial data set of the central model SC3N_Decentral.db contains the result for the original and amplified data set of the decentral model SC3N_Decentral_Comb.db contains the result for the original and amplified data set of the decentral model
Results for the Different Parameter Tests of the Developed RL Agents and the Benchmark Algorithm
Jump and Reach Werte für Jugendliche und junge Erwachsene (17-22 Jahre)
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 Tetramorium pacificum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with 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_Braconidae 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 Supplemental Dataset contains the raw data and analysis scripts (Python/Mathematica) used in the above mentioned publication
Original Source Data to "Bosonic excitation spectra of superconducting Bi2Sr2CaCu2O8+\delta and YBa2Cu3O6+x extracted from scanning tunneling spectra"
The dataset was recorded during milling of 16MnCr5. Due to artificially introduced, though realistic anoma-lies in the workpiece the dataset can be applied for anomaly detection. Furthermore, milling tools with two different diameters where used which led to a dataset eligible for transfer learning.
The dataset consists of seven folders. Each folder represents one milling run. In each milling run the depth of cut was set to 3 mm. A folder contains a maximum of three json files. The number of files depends on the time needed for each run which is a function of milling tool diameter and feed rate. Files in each folder were numerated in sequence. For example, folder “run1” contains the files “run1_1” and “run1_2” with the last number indicating the order in which the files were generated. The frequency of recording datapoints was set to 500 Hz. During each milling run the milling tool moved along the longitudinal side and then was moved back alongside the workpiece. This way machining started always on the same side of the workpiece. Table 1 provides an overview of the milling runs. Run 1 to 4 were performed with a HSS tool with a diameter of 10 mm. The tool in use was an end mill (HSS-E-SPM HPC 10 mm) developed by Hoffmann Group. During the first three runs with this end mill no tool breakage occurred. However, in run 4 the tool broke. Runs 5 and 6 were performed by milling with an end mill of the same tool series (HSS-E-SPM HPC 8 mm) that just differs in tool diameter. In contrast to this run 7 was performed by using a solid carbid tool (Solid carbide roughing end mill HPC 8 mm). Cutting with SC tools provides much higher productivity with the downside being higher tool price. In our case the SC end mill performed cuts with a feed rate of 1150 mm/min compared to 191 mm/min achieved by a HSS end mill of the same diameter. Tool breakages were recorded on all runs with end mills of diameter 8 mm. Table 1. overview of the data folders folder name | number of json files | tool diameter | tool breakage | tool type run 1 2 10 mm No HSS run 2 2 10 mm No HSS run 3 2 10 mm No HSS run 4 2 10 mm Yes HSS run 5 2 8 mm Yes HSS run 6 3 8 mm Yes HSS run 7 1 8 mm Yes SC Each json file consists of a header and a payload. The header lists all parameters that were recorded such as position, motor torque and motor current of each of a maximum of five axes of a milling machine. However, the machine used in our experiments is a 3-axis machining center which leaves the payload of 2 possible additional axes to be empty. In the payload the sequential data for each parameter can be found. A list of recorded signals can be found in Table 2. Table 2. recorded signals during milling Signal index in payload | Signal name | Signal Address |Type 13-18 VelocityFeedForward VEL_FFW|1* double 19-24 Power POWER|1* string 25-30 CountourDeviation CONT_DEV|1* double 38-43 TorqueFeedForward TORQUE_FFW|1* double 44-49 Encoder1Position ENC1_POS|1* double 56-61 Load LOAD|1* double 68-73 Torque TORQUE|1* double 68-91 Current CURRENT|1* double * 1 represents x-axis, 2 represents y-axis, 3 represents z-axis and 6 represents spindle-axis. Note that our milling center has 3 axis and therefore values for axes 4 and 5 are null.
Multivariate time series dataset of milling 16MnCr5 for anomaly detection
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.
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 Pheidole afrc-gh02, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with 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 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 Meranoplus magrettii, scanned at KIT Light Source. This dataset is part of 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
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 Camponotus 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.
Sulfate aerosol optical depth from IMS/IASI after the Hunga 2022 eruption
IMS/IASI data for 'Aerosol dynamic processes in the Hunga plume in January 2022: Does water vapor accelerate aerosol aging?'
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 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 Myrmicocrypta 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.
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 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 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 package contains data (Inversion results and logfiles produced by the FWI software, config files for reproduction) and python scripts to create the figures shown in "All-At-Once and Reduced Solvers for Visco-Acoustic Full Waveform Inversion" by Christian Rheinbay. Moreover, it contains instructions on how to reproduce the contained data.
Complementary Data for "All-At-Once and Reduced Solvers for Visco-Acoustic Full Waveform Inversion"
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 Myrmecina 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 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)
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.
Differentiation and Cultivation of Retinal Cells in a Defined 3D Environment
Differenzierung und Kultivierung von retinalen Zellen in einer definierten 3D-Umgebung
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.
Water Level of the Jvari Reservoir of Enguri High Arch Dam for the years 1978-2025
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 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"
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
Institut für Informationssicherheit und Verlässlichkeit
This repository hosts the dataset corresponding to the paper "A Large-Scale Study of Cookie Banner Interaction Tools and their Impact on Users’ Privacy", which was published at the Privacy Enhancing Technologies Symposium (PETS) in 2024.
Cookie notices (or cookie banners) are a popular mechanism for websites to provide (European) Internet users a tool to choose which cookies the site may set. Banner implementations range from merely providing information that a site uses cookies over offering the choice to accepting or denying all cookies to allowing fine-grained control of cookie usage. Users frequently get annoyed by the banner's pervasiveness as they interrupt ``natural'' browsing on the Web. As a remedy, different browser extensions have been developed to automate the interaction with cookie banners. In this work, we perform a large-scale measurement study comparing the effectiveness of extensions for ``cookie banner interaction.'' We configured the extensions to express different privacy choices (e.g., accepting all cookies, accepting functional cookies, or rejecting all cookies) to understand their capabilities to execute a user's preferences. The results show statistically significant differences in which cookies are set, how many of them are set, and which types are set---even for extensions that aim to implement the same cookie choice. Extensions for ``cookie banner interaction'' can effectively reduce the number of set cookies compared to no interaction with the banners. However, all extensions increase the tracking requests significantly except when rejecting all cookies.
Dataset: A Large-Scale Study of Cookie Banner Interaction Tools and their Impact on Users' Privacy / Part1
Release notes: https://git.scc.kit.edu/mpp/mpp/-/tags/3.3.1
Processed micro-tomographic scan of the ant Ectatomma permagnum, scanned at KIT Light Source. This dataset is part of 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 were compressed using 7zip. Samples were labelled according to the word document.
Raw data for One-pot cascade reaction from epoxide to carboxylic acids using bifunctional Fe-ZSM-5
Dieser Datensatz nimmt Bezug auf die bei KIT Scientific Publishing (KSP) veröffentlichte Dissertation von Konrad Deetz (https://publikationen.bibliothek.kit.edu/1000077925, ISBN: 978-3-7315-0744-4, DOI: 10.5445/KSP/1000077925), mit der Absicht, die Reproduzierbarkeit der Ergebnisse zu gewährleisten und eine Langzeitarchivierung sicher zu stellen. Der Datensatz enthält alle Abbildungen der Dissertation sowie die Skripte (Programmiersprache R) zur Erstellung dieser Abbildungen. Die Modelldaten, auf denen die Abbildungen beruhen, sind nicht enthalten, da der Datenumfang (mehrere Terabyte) dies nicht zulässt. Die Modelldaten sind in der Large Scale Data Facility (LSDF) des Steinbuch Centre for Computing (SCC) archiviert und können bei Bedarf bereitgestellt werden. Zur Modellevaluierung wurden in der Dissertation auch Messdaten verwendet, die im Rahmen von DACCIWA (Dynamics-aerosol-chemistry-cloud interactions in West Africa) erstellt wurden. (Messdaten werden über die Datenbank http://baobab.sedoo.fr/ bereitgestellt. Zugriff erteilt die Administration von DACCIWA.) Der Datensatz enthält die Ordner D1 (Domain 1, „CONTINENTAL“), D2 (Domain 2, „SWA“), D3 (Domain 3, „REGIONAL“) und „model_framework“. Die Namen der Unterordner enthalten die Abbildungsnummern, wie sie auch in der Dissertation verwendet werden. Bei Rückfragen kann man sich an den Autoren wenden. This dataset refers to the dissertation published in KIT Scientific Publishing (KSP) by Konrad Deetz (https://publikationen.bibliothek.kit.edu/1000077925, ISBN: 978-3-7315-0744-4, DOI: 10.5445/KSP/ 1000077925). With that, the reproducibility of the results and the long-term archiving will be ensured. The dataset contains all figures of the dissertation as well as the scripts (programming language R) to create these figures. The model output, related to these figures, is not included, due to the amount of data (several terabyte). The model output is archived in the Large Scale Data Facility (LSDF) of the Steinbuch Centre for Computing (SCC) and can be made available on demand. For the model evaluation also measurements were used, obtained in the framework of DACCIWA (Dynamics-aerosol-chemistry-cloud interactions in West Africa). (Measurements are provided via the database http://baobab.sedoo.fr/. Access is provided via the DACCIWA administration.) The dataset contains the directories D1 (Domain 1, „CONTINENTAL“), D2 (Domain 2, „SWA“), D3 (Domain 3, „REGIONAL“) and „model_framework“. The subdirectory names contain the figure numbers as used in the dissertation. In case of questions please contact the author. Konrad Deetz, 22 March 2018
By using COSMO-ART, highly resolved process study simulations for 2-3 July 2016 are conducted to assess the aerosol effect on the meteorological conditions of southern West Africa. The meteorological phenomenon Evening Monsoon Flow Enhancement (EMFE) is identified as highly susceptible to the aerosol direct effect, leading to a spatial shift of the EMFE front. In a second aerosol feedback chain the aerosol variation leads to a temporal shift of the stratus-to-cumulus transition.
Assessing the Aerosol Impact on Southern West African Clouds and Atmospheric Dynamics (Dataset)
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
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.
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.
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
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 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 Bothroponera soror, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with 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 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.
Institut für Photogrammetrie und Fernerkundung, Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung
# 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)
Helmholtz Institute Ulm (HIU) Electrochemical Energy Storage, Helmholtzstraße 11, D-89081 Ulm, Germany
Department of Energy Conversion and Storage, Technical University of Denmark, Denmark
Institute of Functional Interfaces (IFG) and Karlsruhe Nano Micro Facility (KNMFi), Karlsruhe Institute of Technology (KIT), Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany
Addressing the sluggish kinetics of sulfur redox for high-energy Mg-S batteries
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.
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.
ICON-ART data: Dispersion and Aging of Volcanic Aerosols after the La Soufrière Eruption in April 2021 (Part 1/3)
Processed micro-tomographic scan of the ant Monomorium 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 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 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 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.
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
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 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 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.
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 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 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 Camponotus devestivus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Ministry of Schools and Education of the State of North Rhine-Westphalia
Research Center for Physical Education and Sports of Children and Young People
On behalf of the State Chancellery of North Rhine-Westphalia, the Motor Test 1 (MT1) is used as an admission criterion for 5th grade at NRW sports schools under the leadership of the Research Center for Physical Education and Sports of Children and Young People. Since the 2007/08 school year, MT1 has been carried out at NRW sports schools (18 locations, 32 partner schools). The MT1 is equivalent to the German Motor Test. The goal at NRW sports schools is to create ideal conditions for students in grade 5 and above to get started in competitive sports. In grade 7, the MT1 is repeated along with four additional motor test tasks to assess the development of motor performance.
Processed micro-tomographic scan of the ant Tetramorium sp simillimum 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.
This data provides an overview of the SLR results, their quality ratings and category classifications.
Results SLR Business Process Model Generation
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.
The flow within adhering droplets subjected to external shear flows has a significant influence on the stability and eventual detachment of the droplets from the surface. Most commonly, the velocity field inside adhering droplets is measured by means of particle image velocimetry (PIV), which requires a correction step to account for the distortion caused by the refraction of light at the curved gas-liquid interface. Current methods for distortion correction based on ray tracing are limited to low external flow velocities, for which the deformation of the droplet is insignificant and axisymmetry can be assumed. However, the ray-tracing method can be extended straightforwardly to arbitrarily deformed droplet shapes if the instantaneous three-dimensional droplet interface could be obtained. In the present work, a previously introduced method for the image-based reconstruction of gas-liquid interfaces by means of deep learning is adapted to determine the instantaneous interface of adhering droplets in external shear flows. In this regard, a purposefully developed optical measurement technique based on the shadowgraphy method is employed that encodes additional three-dimensional (3D) information of the interface in the images via glare points from lateral light sources. On the basis of the images recorded in the experiments, the volumetric shape of the droplet is reconstructed by a neural network that was trained on the spatio-temporal dynamics of the gas-liquid interface from a synthetic dataset obtained by numerical simulation. The results for experiments with adhering droplets at different velocities of external flow demonstrate that the combination of the learned droplet geometry with the depth encoding through the glare points facilitates a robust and flexible reconstruction. The proposed method reconstructs the instantaneous three-dimensional interface of adhering droplets at both high resolution and spatial accuracy and thereby enables the distortion correction of PIV measurements at high external flow velocities.
This repository contains the supplementary data to our article "Interface reconstruction of adhering droplets for distortion correction using glare points and deep learning". The dataset consists of raw and processed images obtained in experiments with adhering droplets subject to external shear flows through 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 weights of the neural networks for the reconstruction of the droplets gas-liquid interface trained on the aforementioned data are contained in this repository as well. The code repository for the neural network training and evaluation, including documentation on how to deploy the trained neural networks on the measurement data can be found on GitHub (https://github.com/MaxDreisbach/Droplet-PIFu)
Interface reconstruction of adhering droplets for distortion correction using glare points and deep learning (research data)
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.
ICON-ART simulation data are stored in netCDF format as follows: Experiments: NSP and SPH; each folder contains three subfolders: AOD: Aerosol Optical Depth, ABS: Attenuated BackScatter, CON: Concentration
Effects of Particle Non-Sphericity on Dust Optical Properties in a Forecast System: Implications for Model-Observation Comparison
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.
We present a dataset of 3D CAD models (.stl) from the field of mechanical engineering. There are 7 core classes (cover, flange, housing, mounting, rodprobe, sensor, tube) and 5 additional classes (cableconnector, dismiss, diverse, fork, funnelantenna). The dataset has been hand labelled with categories.These models are for demonstration purpose only and do not reflect actual products
Machine Learning, CAD, Engineering, 3D Objects, 3D Graphics, Shape Completion, ShapeNet, 3D Shape Recognition
The data belongs to the contribution "Influence of disruptive design changes of a hammer drill on user posture and muscle stress - An exploratory study" Rack, R.; Sutschet, S., Bengler, K.; Matthiesen, S. The data consists of: 1. mean values of joint angles and handle interaction forces (grip and push force) over time and RMS values of muscle activation for each drilling measurement for 3 subjects, categorized into handle configurations (handle position & orientations was varied) 2. Median and 1st & 3rd quartile values of joint angles and muscle activation across the 3 subjects and its graphical illustration (plots) showing deviations of joint angles and muscle activation of the shoulder-arm system (plots uploaded are an addition to the results of the paper mentioned above)
The data belongs to the contribution "Influence of disruptive design changes of a hammer drill on user posture and muscle stress - An exploratory study" Rack, R.; Sutschet, S., Bengler, K.; Matthiesen, S. The dataset contains: 1. .xslx-files: a. mean joint angles (shoulder abduction / adduction, shoulder flexion / extension, shoulder rotation, elbow flexion / extension, elbow rotation, wrist abduction / adduction, wrist flexion / extension), force data (grip and push forces at the hammer drill main and side handle) and RMS of muscle activation (deltoid anterior, deltoid lateral, deltoid posterior, trapezius, biceps, triceps, flexor carpi radialis, extensor carpi radialis) over time per drilling measurement, for 3 subjects,, 3 drilling measurement per handle configuration b. median, 1st & 3rd quartile values joint angles, handle forces, muscle activation across all subjects for each hammer drill handle configuration 2. .png-files: Graphical illustration of data (1b), as an addition to the results shown in the paper mention above
Experimental data and additional evaluation for the paper "Influence of disruptive design changes of a hammer drill on user posture and muscle stress - An exploratory study"
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.
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 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 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 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 - Sapphire on Copper - FAIR Dataset
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 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.
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 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.
Change Notes: Fixed an error in the discrete Laplacian
This software package contains the implementation of the approximate inverse for 2D linear seismic imaging using the common offset acquisition geometry.
The download package includes a README.md file which contains details on the required Python modules, installation instructions and instructions on how to use the provided scripts
Approximate inversion of a class of generalized Radon transforms - Software package (v1.1)
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.
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.
Institut für Angewandte Materialien – Angewandte Werkstoffphysik (IAM-AWP), Karlsruher Institut für Technologie (KIT)
T1 = 48.0Ti-25.0Mo-12.0Ta-10.0Cr-5.0Al (at.%) T2 = 44.0Ti-20.0Mo-15.0Ta-15.0Cr-6.0Al (at.%) T3 = 54.0Ti-10.0Mo-15.0Ta-15.0Cr-6.0Al (at.%) Liquid = liquid phase BCC_A2 = A2 solid phase BCC_A2 = B2 solid Phase Laves_C15 = C15 solid Laves phase AC = as-cast condition HT = homogenized and furnace-cooled condition 800C_1000h = 800 °C/1000 h heat-treated in glass ampoule and water-quenched 1000C_1000h = 1000 °C/1000 h heat-treated in glass ampoule and water-quenched 10 Kpmin = heating rate of 10 K/min 40 Kpmin = heating rate of 10 K/min RT = room temperature 400C = 400 °C 600C = 600 °C 800C = 800 °C 900C = 900 °C 1000C = 1000 °C Fig. 1: Thermodynamic calculations from FactSage, temperature T in °C vs. atomic phase fraction in 1 Fig. 2: Scanning electron micrographs (backscattered electron contrast imaging) in AC and heat-treated condition Fig. 3: X-ray diffaction patterns with intensity in 1 vs. 2Theta in ° Fig. 4: Differential scanning calorimetry data with heat capacity Cp in J/(g*K) vs. temperature in °C and time in min (proprietary *.xlxs file) Fig. 5: Compression test results in proprietary *.tra files that require TestExpert Software Fig. 7: Scanning electron micrographs (backscattered electron contrast imaging) after compression tests Fig. S1: Thermodynamic calculations from Pandat with PanRHEA, temperature T in °C vs. atomic phase fraction in 1
Data from "Design of lightweight high temperature structural materials based on refractory compositionally complex alloys, Part I: mechanical properties and phase stability"
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. 70.952/2019 durchgeführt. Die Verantwortung für den Inhalt liegt ausschließlich beim Autor.
Deutsches Mobilitätspanel (MOP) - Statistiken zur Alltagsmobilität sowie zu Fahrleistung und Kraftstoffverbrauch 2010 - 2019
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
:title = "OCS 60deg longitude 10deg latitude mean profiles from MIPAS single retrievals"; :institution = "Karlsruhe Institute of Technology - Institute for Meteorology and Climate Research"; :organization = "KIT/IMK-ASF"; :global_target_name = "OCS"; :source = "Satellite MIPAS on Envisat"; :type_of_data = "MEASUREMENTS"; :experiment = "MIPAS"; :platform = "SATELLITE"; :name_of_platform = "ENVISAT"; :original ungridded retrievals = "https://www.imk-asf.kit.edu/english/308.php" :data_version = "V5H_OCS_20,V5R_OCS_221,V5R_OCS_222,V5R_OCS_120"; :author = "SAT-group at KIT/IMK-ASF"; :institute = "KIT/IMK-ASF"; :address = "P.O.B. 3640, 76021 Karlsruhe, Germany"; :email = "norbert.glatthor@kit.edu, 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 = "Glatthor et al., 2015 (https://doi.org/10.1002/2015GL066293), Glatthor et al., 2017 (https://doi.org/10.5194/acp-17-2631-2017) "; :comment = "Gridded from data which was retrieved from single scan retrievals"; :file_creation_time = "Wed Oct 9 18:31:05 2019"; :file_modification_time = " "; :file_modification_description = "negative values have been skipped for averaging";
Combined gridded carbonyl sulfide (OCS) dataset from MIPAS
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.
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-Spartak: Geophysical Borehole Logging Data
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 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 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.
Institut für Regionalwissenschaft (IFR), Karlsruher Institut für Technologie (KIT)
Institut für Geographie und Geoökologie (IFGG), Karlsruher Institut für Technologie (KIT), Natürliche und gebaute Umwelt (BL4), Karlsruher Institut für Technologie (KIT)
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
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 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 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.
In the frame of the PRESLHY project more than 100 experiments on hydrogen – air flame propagation regimes in a shock tube at cryogenic temperatures were made with the combustion tube at the KIT HYKA test site. More than half of the experiments were made at cryogenic temperatures (between approx. 90 K and 130 K). The rest experiments were conducted at ambient conditions as the reference data. It was however possible to provide experimental data at various H2 concentrations from 8 to 60 Vol. %H2 and 3 blockage ratios (BR = 0, 0.3 and 0.6). During the course of the experiments, many experimental difficulties and peculiarities specific for cryogenic temperatures were encountered. Critical conditions for flame acceleration to the speed of sound and to the detonation onset at cryo-temperatures were experimentally found. It was also found that the danger of hydrogen combustion and explosion in terms of maximum combustion pressure is much higher than at ambient temperatures because of several times higher density of the combusted substance. Then, even for sonic deflagration at cryogenic temperatures, the maximum pressure might be higher than the detonation pressure at ambient conditions. The data obtained in current work can be used for safety distance assessment for LH2 safety applications.
7zip-files: The naming convention of the corresponding 7zip-files largely follows the one provided in the Data Management Plan at ambient temperature 293K reads as follows: PT0-25.7z with PT indicating the PRESHY tube, the index 0 means a smooth tube with blockage ratio BR = 0%, then the test number 25 corresponds to certain hydrogen concentration of 15%H2. For cryogenic temperatures, it reads as follows: PT30C-25.7z with the meaning the PRESLHY tube experiment number 25 in an obstructed tube with blockage ratio BR = 30% at cryogenic temperature (prefix C). The experimental conditions should be addressed to the test number 25 with hydrogen concentration 15.2%H2 Each data file consist of original recording “.TPC”-file converted to a CSV format file with extension “.ASC”. The structure of these files is simple. They are columnar comma separated CSV tables. The first line contains the time and names of the channel: Time, TRG, P01, P02, P03, P04, P05, P06, P07, P08, P09, P10, P11, P12, P13, F01, F02, F03, F04, F05, F07, F08, F09, F10, F11, F12, F13, F14, F15 “TRG” is the trigger signal; “P” is the pressure sensor; “F” is the light sensor (InGaAs). The second line contains the unit for each sensor: s, V, bar, bar, bar, bar, bar, bar, bar, bar, bar, bar, bar, bar, bar, V, V, V, V, V, V, V, V, V, V, V, V, V, V The third line shows the start time of each channel. Because of the simultaneous data acquisition, the start times are identical for all channels and can be omitted. The “Time” column gives the time relative to the trigger event. The trigger event is recorded in the “TRG” column. In fact, it should be synchronized with a spark plug but actually, it can be a delay between the trigger signal and spark actuation. Even, it might be no ignition phenomena. Next lines give the signal value for each sensor versus time (in first column). WMF: The original results are also presented in graphic form as so called distance time diagrams. The diagram for each test reads as follows: PT0-24-long-RT.wmf With the same meaning as for the raw data file with an additional index long or short according to captured registration time and prefix RT means distance (radius) time diagram. WMF means the Windows Meta File format. This number corresponds to the test PT0-24 for smooth tube with blockage BR = 0% at ambient temperature wth hydrogen concentration 15.2%. The distance-time diagram shows pressure - and photodiode signals - time histories (horizontal axis, t in seconds) placed vertically in accordance with the real position in a tube (vertical axis, X in m). The pink line goes through the points corresponding to the flame arrival time based on photodiode signals (blue lines). The slope dX/dt of the flame trajectory in X-t coordinates is the flame velocity Uf.
Flame propagation regimes at cryogenic temperature
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.
This is the appendix of a paper accepted in EuroUSEC 2020. It will be added as online material through a link.
Analysis of publicly available anti-phishing webpages: contradicting information, lack of concrete advice and very narrow attack vector (Online Material)
Drill Core Photos Tyrnyauz Wells T1 and Well 1500
Processed micro-tomographic scan of the ant Hypoponera 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.
Processed micro-tomographic scan of the ant Neivamyrmex cf 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.
This dataset contains FAIR records which describe the tribological experiment Copper under Variable Normal Load #0022, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Variable Normal Load n0022 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
This dataset contains FAIR records which describe the tribological experiment Copper under Variable Normal Load #0020, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Variable Normal Load n0020 - 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.
Institut für Thermische Energietechnik und Sicherheit
The presented video files demonstrate the behavior of combustion, its speed and acceleration, under various initial conditions: temperature, pressure, block ratio. The corresponding data (temperature, pressure, concentrations) in distribution and ignition modes are also presented.
In the frame of the PRESLHY project W.P. 5.3. a series of experiments was carried out. The phenomena of cryogenic hydrogen combustion in a layer geometry relevant to flame spread over the spill of LH2 and flame acceleration and deflagration-detonation-transition for cryogenic hydrogen-air clouds in an enclosure were studied. The objective of work was completing the experimental database on cryogenic LH2 combustion, including laminar steady state and turbulent combustion and detonation of LH2 and gaseous hydrogen in air at cryogenic temperatures.
cryogenic hydrogen combustion in a layer geometry
PRESLHY Experiment series 5.3; block ratio: 60%; initial temperature: ambient (warm)
This dataset contains FAIR records which describe the tribological experiment Copper under Variable Normal Load #0003, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Variable Normal Load n0003 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Processed micro-tomographic scan of the ant Syllophopsis sp_nr_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.
Droplet Microarray as a Powerful Platform for Seeking New Antibiotics Against Multidrug-Resistant (MDR) Bacteria
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.
Zuverlässigkeit und Mikrostruktur (IAM-ZM), Karlsruher Institut für Technologie (KIT)
Processed friction data, wear tracks obtained by confocal microscopy, Raman spectroscopy and SEM images.
Tribological behaviour of a graphite-phenolic resin solid lubricant under high mechanical load
PRESLHY Experiment series 5.3; block ratio: 0%; initial temperature: ambient (warm)
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 Orectognathus 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.
2 Inverse vulcanization of norbornenylsilanes
Processed micro-tomographic scan of the ant Mycetophylax strigatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with 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 laevigata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Dieser Beitrag enthält experimentelle Wärmeübertragungsdaten für eine turbulente Rohrströmung der Flüssigmetalllegierung GaInSn. Das horizontale Rohr wird azimutal inhomogen beheizt und es werden vier verschiedene Orientierungen des Wärmestroms im Vergleich zur Erdbeschleunigung untersucht. Die Reynoldszahl der Strömung wird im Bereich von $8 \cdot 10^{3} < \mathrm{Re} < 1 \cdot 10^{5}$ variiert.
Raw and analyzed data for the heat transfer of a horizontal turbulent tube flow of the liquid metal alloy GaInSn summarized in an excel file.
This contribution provides experimental heat transfer data for a turbulent tube flow of the liquid metal alloy GaInSn. The horizontal tube is azimuthally inhomogeneous heated and four different orientations of the heat flux compared to the gravitational acceleration are examined. The Reynolds number of the flow is varied in the range of $8 \cdot 10^{3} < \mathrm{Re} < 1 \cdot 10^{5}$.
Heat transfer data of a horizontal turbulent tube flow of GaInSn with azimuthal inhomogeneous heat flux with focus on mixed convection
Processed micro-tomographic scan of the ant Nylanderia 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 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 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 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 Leptogenys langi, scanned at KIT Light Source. This dataset is part of 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 Meteorologie und Klimaforschung Troposphärenforschung (IMKTRO), Karlsruher Institut für Technologie (KIT)
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"
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.
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
Research Data to the Article "Interferometric Particle Imaging for Particle Sizing in the Front-, Side-, and Backscatter Region – Towards Single Optical Access IPI "
Research Data to the Article "Interferometric Particle Imaging for Particle Sizing in the Front-, Side-, and Backscatter Region – Towards Single Optical Access IPI
Interferometric Particle Imaging for Particle Sizing in the Front-, Side-, and Backscatter Region – Towards Single Optical Access IPI - Research Data
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 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.
Python code for analyzing the pore diameter of biocatalytic foams microscopy images.
Pythoncode used in: "Biocatalytic Foams from Microdroplet-Formulated Self-Assembling Enzymes"
# Experimental Data for the Paper "Using Constraints to Discover Sparse and Alternative Subgroup Descriptions" (Version 2) These are the experimental data for the second version (v2) of the paper> Bach, Jakob. "Using Constraints to Discover Sparse and Alternative Subgroup Descriptions" 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/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` for the main experiments and `3.9` for the competitor-runtime experiments. With this configuration, running the main experimental pipeline (`main_experiments/run_experiments.py`) took about 34 hours. Note that the experimental data originate from multiple pipeline runs, as we have two experimental pipelines, and we reran one of them to include additional subgroup-discovery methods: - The commit hash for the last run of the competitor-runtime experimental pipeline (`competitor_runtime_experiments/run_competitor_runtime_experiments.py`) is [1a026326b3](https://github.com/Jakob-Bach/Constrained-Subgroup-Discovery/tree/1a026326b34246a9fcf4df658a99a898b5fd38e1) (tag: `competitor-runtime-2025-01-12`). - 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`). These data are identical to the [experimental data for v1 of the paper](https://doi.org/10.35097/caKKJCtoKqgxyvqG). - The commit hash for the last run of the main experimental pipeline (`main_experiments/run_experiments.py`) for the (new) subgroup-discovery methods *BSD* and *SD-Map* is [50dd82e0fc](https://github.com/Jakob-Bach/Constrained-Subgroup-Discovery/tree/50dd82e0fcd175a4068ef4ce838dcacdc1045fc9) (tag: `run-2025-01-21-arXiv-v2`). The main experimental pipeline did not change between the last two mentioned commits (except for refactorings and to include two new subgroup-discovery methods), and the competitor-runtime experimental pipeline changed neither. Thus, using the tag `run-2025-01-21-arXiv-v2` to reproduce all experiments should yield the same results (except runtimes and timeout-affected results). The commit hash for the last run of the two evaluation pipelines (`main_experiments/run_evaluation_arxiv.py` and `competitor_runtime_experiments/run_competitor_runtime_evaluation_arxiv.py`) is [bc3aafc904](https://github.com/Jakob-Bach/Constrained-Subgroup-Discovery/tree/bc3aafc904cc27214d458f93782104484ffc372d) (tag: `evaluation-2025-02-16-arXiv-v2`). The experimental data are stored in five folders, i.e., `competitor-runtime-datasets/`, `competitor-runtime-results/`, `datasets/`, `plots/`, and `results/`. Further, the console output of `main_experiments/run_evaluation_arxiv.py` is stored in `Evaluation_console_output_main.txt`, and the console output of `competitor_runtime_experiments/run_competitor_runtime_evaluation_arxiv.py` is stored in `Evaluation_console_output_competitor_runtimes.txt`. We manually copied both evaluation outputs from the console to a file. In the following, we describe the structure and content of each data file. ## `competitor-runtime-datasets/` These are the input data for the competitor-runtime experimental pipeline `competitor_runtime_experiments/run_competitor_runtime_experiments.py`. They were obtained with the script `competitor_runtime_experiments/prepare_competitor_runtime_datasets.py`. The folder structure of `competitor-runtime-datasets/` is similar to that of the dataset folder of the main experiments (`datasets/`), so please consult the corresponding section of this document for more details on the contained file types. The main difference is that only five of the 27 PMLB datasets are included, plus the `iris` dataset provided by `scikit-learn`. ## `competitor-runtime-results/` These are the output data of the competitor-runtime experimental pipeline in the form of CSVs, produced by the script `competitor_runtime_experiments/run_competitor_runtime_experiments.py`. `_results.csv` contains all results merged into one file and acts as input for the script `competitor_runtime_experiments/run_competitor_runtime_evaluation_arxiv.py`. The remaining 325 files are subsets of the results. The competitor-runtime experimental pipeline parallelizes over 6 datasets, 5 cross-validation folds, and 17 subgroup-discovery methods. Thus, a full cross-product would yield `6 * 5 * 17 = 510` files containing subsets of the results, but some subgroup-discovery methods timed out on some datasets, so the corresponding result files are missing. 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` The remaining column, `fitting_time`, represents the evaluation metric. In detail, all result files for the competitor-runtime experiments contain the following columns (whose names are consistent with the main experiments): - `fitting_time` (non-negative float): The runtime (in seconds) of the subgroup-discovery method. - `dataset_name` (string, 6 different values): The name of the 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, 17 different values): The name of the subgroup-discovery method, consisting of the package name and the algorithm name (e.g., `sd4py.Beam`). - `param.k` (int in `[1, 5]`): The feature-cardinality threshold for subgroup descriptions. ## `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 main evaluation pipeline `main_experiments/run_evaluation_arxiv.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_arxiv.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.
These are the experimental data for the second version (v2) of the paper> Bach, Jakob. "Using Constraints to Discover Sparse and Alternative Subgroup Descriptions" 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.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" (Version 2)
This dataset contains FAIR records which describe the tribological experiment Copper under Constant Normal Load #0029, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0029 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
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.
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.
Observation of Floppy Flexural Modes in a 3D Polarized Maxwell Beam
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.
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 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.
The computations are done with Python3. ##### Requirements The code is tested on Ubuntu 20.04.4 LTS with Python 3.8.10 and the following versions of its modules numpy - 1.17.4 scipy - 1.3.3 h5py - 2.10.0 dolfin (fenics) - 2019.2.0.dev0 (including mshr) matplotlib - 3.1.2 tikzplotlib - 0.9.6 (only for generating tikz/pgfplots files) ##### Generation of figures Figures **4.6, 4.7, 4.8, 4.9, 4.10, 5.3, 5.4, 5.5, 5.7 (including 5.6)**, and **5.8** can be generated with this code. In order to obtain Figure X.Y either - execute the Python script **script_Figure-XpY.py** in a suitable integrated development environment or - run the command **python3 script_Figure-XpY.py** in a terminal session. The scripts for Figures 4.6, 4.8, 4.10, and 5.5 only produce half of the figures. To get the other half, open the script and set the Boolean variable at the beginning of the script from `True` to `False` (case sensitive). - Figure 4.6: Boolean variable `LFC_unstab` + `True` : Figures 4.6 (a), (c), (e), (g) + `False`: Figures 4.6 (b), (d), (f), (h) - Figure 4.8: Boolean variable `stepsize_small` + `True` : Figures 4.8 (a), (b) + `False`: Figures 4.8 (c), (d) - Figure 4.10: Boolean variable `LFCpol_to_G` + `True` : Figures 4.10 (a), (b), (c) + `False`: Figures 4.10 (d), (e), (f) - Figure 5.5: Boolean variable `stepsize_small` + `True` : Figures 5.5 (a) + `False`: Figures 5.5 (b) Instead of the plots you can get the tikz/pgfplots files which were used for the figures in the thesis by setting the Boolean variable `plot_figure` from `True` to `False` in the scripts.
This code has been used for the numerical experiments in the thesis "On leapfrog-Chebyshev schemes for second-order differential equations" by Constantin Carle; see https://www.doi.org/10.5445/IR/1000147725.
Numerical experiments to "On leapfrog-Chebyshev schemes for second-order differential equations"
This publication includes data for the German electricity system in 2030 and a corresponding documentation of the methodology of data acquisition and preprocessing. The data set includes 1.) topological data on the transmission grid, the generation infrastructure and the demand, 2.) a time series of electricity demand in 2030 in an hourly resolution, 3.) a time series of renewable generation in 2030 in an hourly resolution, and 4.) dispatchable generation capacity and costs in 2030. All data is spatially resolved, at the level of 485 nodes.
The German Electricity System in 2030: Data on Consumption, Generation, and the Grid (updated version)
List of identified sources of product models for embodiment design. Extension of the contribution "Product Models in Embodiment Design - An Investigation of Challenges and Possibilities"
Research Results: "Product Models in Embodiment Design - An Investigation of Challenges and Possibilities"
Processed micro-tomographic scan of the ant Streblognathus peetersi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with 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.
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
Processed micro-tomographic scan of the ant Linepithema 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.
Neuer Forschungsdatensatz zu finden unter https://publikationen.bibliothek.kit.edu/1000152366 ## RIBLETS IN FULLY DEVELOPED TURBULENT CHANNEL FLOW This database features high-precision pressure drop and flow rate measurements in an air channel flow facility with aspect ratio 1:12 which were taken to determine the skin friction drag reduction of riblets. In this facility the channel flow is fully turbulent for bulk Reynolds numbers above 5000. The dataset includes values for the smooth wall reference case and three geometrically different sets of riblets. Multiple flow rate measurement devices are used (see table1), namely an inlet nozzle and an orifice flow meter. The measurements were taken by Andreas Güttler, Lars von Deyn and Luigi Coppini. table1: | type | index | diameter | range in Reb | | -------- -- |-------|-----------|--------------| | orifice | 1 | 60[mm] |3000<Reb<13000 | orifice | 2 | 105[mm] |7000<Reb<38000 | orifice | 3 | 150[mm] |30000<Reb<89000 | inlet nozzle| 4 | 60[mm] |6000<Reb<24000 ___ References: A. Güttler. High accuracy determination of skin friction differences in an air channel flow based on pressure drop measurements. PhD thesis, Karlsruhe Institute of Technology, 2015. DIN EN ISO 5167:Measurement of fluid flow by means of pressure differential devices inserted in circular cross-section conduits running full, 2004. ___ Content: * reference results of smooth turbulent channel flow measured in the range of 5000<Reb<89000. * three geometrically different sets of ribelts measured in the range of 5000<Reb<89000. ``` _____s_____ /\ /\ | / \ / \ |h ___/ \_____/ \_|___ ``` table2: | | s[mu] | h[mu] | tip angle | Reb_opt | | ------- |-------|---------|-------------|-----------| |set1 |614 |294 |53.5 | 11400 | |set2 |170 |160 |50 | 50000 | |set3 |86 |83 |51 | 97000 | --- lars.deyn@kit.edu davide.gatti@kit.edu bettina.frohnapfel@kit.edu
This database features high-precision pressure measurements in a wind tunnel facility used to determine the skin friction drag reduction of ribelts. Please refer to the README below for further information.
Riblets in fully developed turbulent channel flow
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.
This file contains all simulated data points published in the article "Pressure evolution and gas solubility of Li-ion battery electrolytes during thermal abuse conditions" in the Journal of Power Sources. The data is stored in individual sheets for each figure.
Pressure evolution and gas solubility of Li-ion battery electrolytes during thermal abuse conditions
Processed micro-tomographic scan of the ant Camponotus cf nearcticus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Rohdaten zu der Publikation ArduiTaM: accurate and inexpensive NMR auto tune and match system DOI 10.5194/mr-1-105-2020
Dataset to the publication 'ArduiTaM: accurate and inexpensive NMR auto tune and match system'
Data available for N2 physisorption (pdf files), SEM (tif files or word documents), TEM (tif files and in instrument specific data format), XRD (asc files or instrument specific software), catalytic data for syngas-to-dimethyl ether (Excel files)
Data to publication: N2 physisorption (BET), TEM and SEM images, EDX analysis, XRD analysis
Daten zur Veröffentlichung: N2-Physisorption (BET), TEM- und REM-Bilder, EDX-Analyse, XRD-Analyse
Research data to "Bifunctional Catalysts based on PdZn/ZnO and Hierarchical Zeolites in the Direct Synthesis of Dimethyl Ether from CO-Rich Syngas: Influence of the Support and the Zn/Pd Molar Ratio"
Processed micro-tomographic scan of the ant Cyphomyrmex rimosus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with 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.
### Supplementary Research Data for the dissertation ### "Comprehensive insights into the impedimetric characterization of dielectric thin films" ### by Benedikt Sapotta Important: The impedance spectra are disclosed as .DTA files which can be accessed with e.g. the text editor ### Content #### 1 Estimation of IDE cell constant - python script to calculate an IDE cell constant based on https://doi.org/10.1016/0925-4005(95)85053-8 #### 2 Estimation of effective permittivity of coated IDE - python script to calculate the effective permittivity of a coated IDE structure base on https://doi.org/10.1016/j.sna.2011.09.033 and https://doi.org/10.1016/j.sna.2004.01.040 - functionality of the python script is demonstrated by reproducing figure 7 and 8 from https://doi.org/10.1016/j.sna.2011.09.033 #### 3 Uncoated IDE data - light and scanning electron micrographs of the uncoated IDE structures - impedance spectra discussed in chapter 5.2 together with the data fit results using ECM 1 - impedance spectra and evaluation procedure discussed in chapter 5.3 - python scripts to compute the reference conductivities "Expected Conductivities.py" and reference permittivities "Expected Permittivities.py" - data fit results to the aqueous KCl solutions copied into an excel file - python script to compute the capacitance C\_Par+C\_Geo from the DRM impedance spectra "Capacitance\_Calculator.py" - python script to compute the relative permittivities of the DRMs from C\_Par+C\_Geo "Permittivity\_Calculator.py" - python script to compute the electrolytic condudctivity of the CRMs from the R\_E best fit estimates "Conductivity\_Calculator.py" #### 4 HKUST\-1 coated IDE data - data and evaluation procedures for the coated 5 µm electrode chip discussed in chapter 6.1 - impedance spectra collected with the - DRMs: 1-butanol, ethanol and air to obtain C\_Par and K\_Cell of the electrode chip - linker precursor solution as a function of the growth cycles (1-205) - metal precursor solution as a function of the growth cycles (1-205) - ECM 2 fit results to the metal and linker data copied into the excel file "ECM\_2\_BatchFit\_Results.xlsx" - an animated bode plot of the linker and metal impedance spectra - python script for the monte carlo modelling to obtain the coating permittivities and thickness based on the impedance data "MC\_modelling\_growth\_data.py" - a simplified data flow chart as .png to facilitate the understanding of "MC\_modelling\_growth\_data.py" - an assortment of scanning electron micrographs depicting the coated IDE structures - data and evaluation procedures for the coated 10 µm electrode chip discussed in chapter 6.2 - python script which was used for the automated uptake of impedance spectra during the HKUST-1 coating process "SURSENSOR.py" - impedance data (FS= full impedance spectrum, SF= single frequency impedance data) collected with the - DRMs: 1-butanol, ethanl and air to obtain C\_Par and K\_Cell - linker precursor solution as a function of the growth cycle (1-200) - spectra were recorded after the 300, 600 and 900 seconds after the initial exposure to the linker solution, only the 900 s data was evaluated - single frequency impedance data was recorded during the initial 300 seconds of the linker solution exposure step at 100 kHz - metal precursor solution as a function of the growth cycle (1-200) - spectra were recorded after 200, 400 and 600 seconds after initial exposure to the metal solution, only the 600 s data was evaluated - single frequency impedance data was recorded during the initial 200 seconds of the metal solution exposure step at 100 kHz - testing solutions as a function of the growth cycle - spectra were recorded after 180, 240 and 300 seconds after initial exposure to the respective testing solution, only the 300 s data was evaluated - single frequency impedance data was recorded during the initial 180 seconds of each testing solution exposure step at 1 MHz - ECM 2 fit results to the metal and linker data copied into the excel file "Growth\_Data\_BatchFit\_Results.xlsx" - ECM 1 fit results to the testing solution spectra recorded before the HKUST-1 coating process copied into the excel file "Cycle\_0\_DataFits.xlsx" - ECM 2 fit results to the testing solution spectra recorded with the HKUST-1 coated electrode structure copied into the excel files "Cycle\_50DataFits.xlsx", "Cycle\_100\_Data\_Fits.xlsx", "Cycle 150 Data Fits.xlsx" and "Cycle\_200DataFits.xlsx", - python script for the monte carlo modelling to obtain the coating permittivities and conductivities during the exposure with the testing solutions "MC\_modelling\_testing\_data.py" which is an extension of "MC\_modelling\_growth\_data.py" - a simplified data flow chart as .png to facilitate the understanding of "MC\_modelling\_testing\_data.py" - python scripts to compute the testing solution permittivities "Medium\_RelativePermittvity\_Calculator.py" and conductivities "Medium\_Conductivity\_Calculator.py" - an assortment of scanning electron micrographs depicting the coated IDE structures #### 5 ZIF\-8 coated IDE data - impedance spectra collected with the - uncoated 10 µm electrode chips and the DRMs: 1-butanol, ethanol and air to obtain C\_Par and K\_Cell - ZIF-8 coated 10 µm electrode chip and the testing media: air, ethanol and 1 mM KCl dissolved in ethanol - an assortment of scanning electron micrographs depicting the ZIF8-coating on the IDE structures as well as on the silicon and gold surfaces
Supplementary research data for the thesis "Comprehensive insights into the impedimetric characterization of dielectric thin films"
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 Nylanderia boltoni, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with 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 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 Heteroponera panamensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with 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 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.
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 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.
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)
Fully Printed Electrolyte-Gated Transistor Formed in a 3D Polymer Reservoir with Laser Scribed Drain/Source Electrodes - data
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"
Karlsruhe Institute of Technology (KIT), Institute of Meteorology and Climate Research - Atmospheric Trace Gases and Remote Sensing (IMK-ASF), Karlsruhe, Germany, Current address: Mathematical Institute for Machine Learning and Data Science at the Catholic University of Eichstätt-Ingolstadt, Ingolstadt, Germany
LINOZV3 implementation into ICON as part of the ART submodule (for the manuscript : Ramezani Ziarani, M., Sinnhuber, M., Reddmann, T., Funke, B., Bender, S., and Prather, M.: Implementation of solar UV and energetic particle precipitation within the LINOZ scheme in ICON-ART, Geosci. Model Dev. Discuss. [preprint], https://doi.org/10.5194/gmd-2024-227, in review, 2025. All routines listed here are available at the following URL: https://gitlab.dkrz.de/art/art/-/tree/art-linozv3-wip?ref_type=heads. Access to the repository is regulated by the general ICON model access conditions. The latest developments, including the implementation of LINOZ V3, are planned for inclusion in the upcoming release of the ART submodule within ICON. This new version is scheduled for publication as part of Open ICON in the spring 2025. (More information on the latest releases can be found here: https://www.wdc-climate.de/ui/entry?acronym=IconRelease2024.10.)
LINOZV3 implementation into ICON as part of the ART submodule
Institut für Nanotechnologie, Karlsruhe Nano Micro Facility, Technische Universität Darmstadt
Institut für Nanotechnologie, Werkstoffkunde
Institut für Nanotechnologie, Werkstoffkunde, Karlsruhe Nano Micro Facility
Data_Format - Software Raw - diffrac.eva(Bruker) Gfm - diffrac.eva(Bruker) Xy - Origin dm3/4 - DigitalMicrograph mrc - ImageJ emd - Velox
Transformation Kinetics of LiBH$_{4}$–MgH$_{2}$ for Hydrogen Storage
Simulated concentration data for birch pollen, birch SPP and hydrometeors and atmospheric variable (Part 9)
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.
http://orcid.org/This dataset contains about 1.8 million body surface potentials (BSPs) simulated using 1000 heart models generated using a statistical shape model. It has been used in [1,1a]. Here, only the noise-free BSPs are provided. Due to its size, this is a multi-part dataset. Part 1: https://doi.org/10.5445/IR/1000156139 Part 2: https://doi.org/10.5445/IR/1000156554 Part 3: https://doi.org/10.5445/IR/1000156555 Part 4: https://doi.org/10.5445/IR/1000156556 Part 5: https://doi.org/10.5445/IR/1000156557 Each archive XXXX-YYYY.tar contains 20 heart models and corresponding signals. Each subdirectory within the archive contains: - heart.vtp: A triangle mesh of the heart including the point data: - ab, rt, rtCos, rtSin, tm, tv: Consistent biventricular coordinates [2]. - class: Boundary regions used as input for the computation of fiber orientations [3]. - trigger: 1-based indices of the ca. 600 foci (-1000 if not a focus). - heart_transform_matrices.mat: A 1 x 3 cell array containing 4 x 4 transformation matrices that describe the pose of the heart within the torso. Apply the matrix from heart_transform_matrices.mat to the nodes in heart.vtp. - actTimes.mat: A numNodes x numFoci matrix of activation times computed using the fast iterative method [4,5] (conduction velocity in fiber direction: 1 m/s, perpendicular to fiber direction: 1/2.7 m/s). - bsp.mat: - bsp: A numElectrodes x numTimeSamples x numHeartPoses x numFoci matrix of BSPs computed by aligning a transmembrane voltage template with scaled activation times (see actTimeScalings.mat below) and solving the second bidomain equation using the boundary element method [6]. - bspEnd: Time index of the end of depolarization (largest scaled activation time). The archive general.tar contains heart-model-independent data and parameters used to generate the individual heart models: - torso.vtp: A triangle mesh of the torso including the point data: - electrodes: 1-based indices of the 200 electrodes (-1000 if not an electrode). - heart_meanshape.vtp: A triangle mesh of the mean shape of the statistical shape model [7,8]. - heart_shapemodel.mat: - pc: A 3*numNodes x numModes matrix of principal components (numModes = 100). - var: A numModes x 1 vector of variances. - weights: A numModes x numModels matrix of weights used to generate the 1000 heart models. - heart_alignment_matrix.mat: A 4 x 4 transformation matrix describing the alignment of the mean shape with the torso-specific heart. Only to be appleid to node coordinates in within general.tar (already contained in heart_transform_matrices.mat). - heart_transform_params.mat: A struct containing roll, pitch, yaw angles and x, y, z translations used to generate the heart_transform_matrices.mat (see above). - fiber_angles.mat: - alphaEndo: numModels x 1 vector of endocardial fiber angles used to generate fiber orientations. - alphaEpi: numModels x 1 vector of epicardial fiber angles used to generate fiber orientations. - actTimeScalings.mat: - A numModels x numFoci matrix of factors used to scale the activation times. - tmv_template.mat: The transmembrane voltage time course used to compute BSPs. - heart_classes.vtp: A coarse triangle mesh of the mean shape used for fuzzy classification. - heart_classes_subdiv.vtp: A subdivided version of the coarse triangle mesh of the mean shape used to convert between Cobiveco and barycentric coordinates. [1] https://doi.org/10.48550/arXiv.2209.08095 [1a]https://doi.org/10.1016/j.artmed.2023.102619 [2] https://doi.org/10.1016/j.media.2021.102247 [3] https://github.com/KIT-IBT/LDRB_Fibers [4] https://github.com/KIT-IBT/FIM_Eikonal [5] https://doi.org/10.1137/120881956 [6] https://doi.org/10.1016/j.cmpb.2007.09.004 [7] https://doi.org/10.5281/zenodo.4506463 [8] https://doi.org/10.1016/j.media.2015.08.009
1.8 million ECGs derived from multiscale simulations of cardiac electrophysiology of ventricular extrasystoles. 1000 anatomical variants of a bi-ventricular mesh x 600 excitation origins x 3 heart positions in the torso.
This dataset contains about 1.8 million body surface potentials (BSPs) simulated using 1000 heart models generated using a statistical shape model. It has been used in [1,1a]. Here, only the noise-free BSPs are provided. Due to its size, this is a multi-part dataset. Part 1: https://doi.org/10.5445/IR/1000156139 Part 2: https://doi.org/10.5445/IR/1000156554 Part 3: https://doi.org/10.5445/IR/1000156555 Part 4: https://doi.org/10.5445/IR/1000156556 Part 5: https://doi.org/10.5445/IR/1000156557 Each archive XXXX-YYYY.tar contains 20 heart models and corresponding signals. Each subdirectory within the archive contains: - heart.vtp: A triangle mesh of the heart including the point data: - ab, rt, rtCos, rtSin, tm, tv: Consistent biventricular coordinates [2]. - class: Boundary regions used as input for the computation of fiber orientations [3]. - trigger: 1-based indices of the ca. 600 foci (-1000 if not a focus). - heart_transform_matrices.mat: A 1 x 3 cell array containing 4 x 4 transformation matrices that describe the pose of the heart within the torso. Apply the matrix from heart_transform_matrices.mat to the nodes in heart.vtp. - actTimes.mat: A numNodes x numFoci matrix of activation times computed using the fast iterative method [4,5] (conduction velocity in fiber direction: 1 m/s, perpendicular to fiber direction: 1/2.7 m/s). - bsp.mat: - bsp: A numElectrodes x numTimeSamples x numHeartPoses x numFoci matrix of BSPs computed by aligning a transmembrane voltage template with scaled activation times (see actTimeScalings.mat below) and solving the second bidomain equation using the boundary element method [6]. - bspEnd: Time index of the end of depolarization (largest scaled activation time). The archive general.tar contains heart-model-independent data and parameters used to generate the individual heart models: - torso.vtp: A triangle mesh of the torso including the point data: - electrodes: 1-based indices of the 200 electrodes (-1000 if not an electrode). - heart_meanshape.vtp: A triangle mesh of the mean shape of the statistical shape model [7,8]. - heart_shapemodel.mat: - pc: A 3*numNodes x numModes matrix of principal components (numModes = 100). - var: A numModes x 1 vector of variances. - weights: A numModes x numModels matrix of weights used to generate the 1000 heart models. - heart_alignment_matrix.mat: A 4 x 4 transformation matrix describing the alignment of the mean shape with the torso-specific heart. Only to be appleid to node coordinates in within general.tar (already contained in heart_transform_matrices.mat). - heart_transform_params.mat: A struct containing roll, pitch, yaw angles and x, y, z translations used to generate the heart_transform_matrices.mat (see above). - fiber_angles.mat: - alphaEndo: numModels x 1 vector of endocardial fiber angles used to generate fiber orientations. - alphaEpi: numModels x 1 vector of epicardial fiber angles used to generate fiber orientations. - actTimeScalings.mat: - A numModels x numFoci matrix of factors used to scale the activation times. - tmv_template.mat: The transmembrane voltage time course used to compute BSPs. - heart_classes.vtp: A coarse triangle mesh of the mean shape used for fuzzy classification. - heart_classes_subdiv.vtp: A subdivided version of the coarse triangle mesh of the mean shape used to convert between Cobiveco and barycentric coordinates. [1] https://doi.org/10.48550/arXiv.2209.08095 [1a]https://doi.org/10.1016/j.artmed.2023.102619 [2] https://doi.org/10.1016/j.media.2021.102247 [3] https://github.com/KIT-IBT/LDRB_Fibers [4] https://github.com/KIT-IBT/FIM_Eikonal [5] https://doi.org/10.1137/120881956 [6] https://doi.org/10.1016/j.cmpb.2007.09.004 [7] https://doi.org/10.5281/zenodo.4506463 [8] https://doi.org/10.1016/j.media.2015.08.009
In silico electrocardiograms of 1.8 million ventricular extrasystoles and corresponding activation maps (part 1)
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 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.
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 '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)
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 as well as sample sentences annotated by researchers and language models.
Reading Between the Green Lines: A Framework for Scalable Greenwashing Detection - Data Set V2
Release notes: https://git.scc.kit.edu/mpp/mpp/-/tags/3.1.1
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.
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
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 (after rev)
Dataset: A Large-Scale Study of Cookie Banner Interaction Tools and their Impact on Users' Privacy / Part2
Simulated concentration data for birch pollen, birch SPP and hydrometeors and atmospheric variable (Part 3)
Institut für Thermische Verfahrenstechnik
A commercial 20 Ah pouch cell (SPB58253172P2, Enertech International, Inc.), which consists of a NMC111-LMO cathode blend and a graphite anode[1] is characterized thermally. The cell opening is performed at a State of Charge (SoC) of 0 % in an inert environment in a glove box. After disassembly, the anode and cathode sheets were triple washed with DMC and left to dry. For the density and heat capacity measurements, the coatings of both anode and cathode sheets were scraped off. For the thermal diffusivity measurements 18 mm double coated coins were punched from the sheets. All probes were exposed to air only very shortly before inserting them into the measurement devices. The experimental analysis is performed according to Oehler et al.[2]. The density measurement is done with a Micro Ultrapyc 1200e Gas (Quantachrome Instruments) pycnometer in nitrogen gas. The heat capacity is measured in a Q2000 (TA Instruments) differential scanning calorimeter in a temperature range from -40 °C to 60 °C. The thermal diffusivity measurement of the double coated coins is performed in helium atmosphere in a LFA 467 Hyperflash (NETZSCH-Gerätebau GmbH) in a temperature range from -20 °C to 60 °C. To calculate the thermal conductivity of the coatings via a serial connection[3], additional knowledge of the layer thicknesses, porosities of the coatings and the thermal material properties of the current collectors are needed. The thicknesses of the coatings and current collectors are measured with a Micromar 40 EWR (Mahr GmbH). A Balance XPE206DR precision scale (Mettler Toledo) was used to measure the mass of the coating probes. The porosity of the coating was then determined gravimetrically. All measurements were conducted at least three times. Error propagation of the standard deviation was performed for the calculated values. The measurement of the density and heat capacities of the current collectors as well as pouch foil and separator were performed as previously described. The current collector materials are assumed to be copper and aluminum and the thermal conductivities at 0 °C are taken from literature[4]. [1] L. Cloos, J. Langer, M. Schiffler, A. Weber, Th. Wetzel, J. Electrochem. Soc. 2024, 171, 040538. [2] D. Oehler, P. Seegert, T. Wetzel, Energy Technol. 2021, 9, 2000574. [3] A. Loges, S. Herberger, D. Werner, T. Wetzel, Journal of Power Sources 2016, 325, 104–115. [4] P. Stephan, S. Kabelac, M. Kind, D. Mewes, K. Schaber, T. Wetzel, Eds. , VDI-Wärmeatlas: Fachlicher Träger VDI-Gesellschaft Verfahrenstechnik und Chemieingenieurwesen, Springer Berlin Heidelberg, Berlin, Heidelberg, 2019.
Temperature strongly influences the electrical and aging behavior of lithium-ion battery cells. Therefore, modeling of the thermal behavior of these cells is needed to depict the behavior adequately. Thermal models require the knowledge of the thermal material properties of the cell. Here, we present the thermal material properties of the components of a commercial NMC111-LMO / graphite lithium-ion battery cell. A gas pycnometer is used to measure the density and a differential scanning calorimeter to measure the heat capacity of the coatings. With knowledge of the properties of the double sided coated current collector and its thermal diffusivity measured with a laser flash apparatus, the thermal conductivity of the coatings can be calculated. The standard deviation with error propagation amounts to maximum of ≈ 8.5 %.
Thermal Material Properties of Commercial NMC111-LMO / Graphite Lithium-Ion Battery Cell
Federal Agency for Cartography and Geodesy (BKG), Wettzell, Germany
Karlsruhe Institute of Technology (KIT), Geophysical Institute
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
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.
@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).
Research data and software for the publication: Skin friction reduction via suppression of large scales in turbulent Couette flows, Int. J. Heat Fluid Flow 108 (2024). For detailed instructions about this repository, please consult the README.html or README.md file.
Data for the publication: Skin friction reduction via suppression of large scales in turbulent Couette flows
The data is delivered as a set of archive files with each archive containing monthly netCDF files of the respective year. Users of the IDL data language can use the programs which are delivered as an archive, too. For previous version see relations.
The data set comprises temperature data of the Earth's middle atmosphere region for the years 2002-2012 as derived from the nominal mode mid infrared spectra measurements collected by the MIPAS instrument on board of the Envisat satellite. The data version is V8.
IMK/IAA MIPAS temperature retrieval version 8: nominal measurements: the data set [Updated version]
The dataset presents a comparative analysis of results obtained from three distinct cell configurations: a commercial full-cell, an experimental cell in a three-electrode setup, and symmetrical cells. Electrochemical impedance spectroscopy (EIS), distribution of relaxation times (DRT), and nonlinear frequency response analysis (NFRA) were conducted at four different states-of-charge: 100%, 80%, 50%, and 20%. The measurements were performed at 23°C using Zahner Zennium Electrochemical Workstation. The derivation of distribution of relaxation times (DRT) from EIS spectra was conducted using the software tool "All-Fit" in MATLAB, developed in-house (IAM-ET). NFRA data includes measurements of the second harmonic, Y2, and third harmonic, Y3, which provide valuable insights into the nonlinear response of the investigated system.
Research Data for the Publication "Full-, half-, and symmetrical cell analysis of lithium-ion battery using impedance and nonlinear frequency response"
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.
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.
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.
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
Deutsches Mobilitätspanel (MOP) - Statistiken zur Alltagsmobilität sowie zu Fahrleistung und Kraftstoffverbrauch 2007 - 2016
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
Steinbuch Centre for Computing (SCC), 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/
CCMI-1 ozone data for O3as service (v1: zonal means and monthly means of total columns)
# 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)
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.
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"
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)
6 Minuten Lauf- Werte bei 9 Jährigen Jungen.Pädagogische Arbeit (unveröffentlicht)
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.
Data sets used for plotting graphs in the figures and AutoCAD files for the designs of "Topologically optimized magnetic lens for magnetic resonance applications"
Topologically optimized magnetic lens for magnetic resonance applications
Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research - Atmospheric Environmental Research (IMK-IFU)
Ludwig Maximilians University Munich (LMU), Department of Geography
LandscapeDNDC is a simulation framework for terrestrial ecosystem simulation on site, regional and global scale (Haas et al. 2013). LandscapeDNDC emerged from the MoBiLE framework (Grote et al. 2009b), which originated from the 1-D process-oriented Arable-DNDC and Forest-DNDC models (Li et al. 1992a, b, 1994, 2000; Stange et al. 2000). The modular design of LandscapeDNDC allows plugging in any process descriptions for simulating microclimate, water-, carbon- and nitrogen balances, as well as plant growth and yield of natural, semi-natural and agricultural ecosystems. Thus, also enabling consistent representation of land-use change by using different vegetation modules together with the same soil module. One important technical feature of LandscapeDNDC is its capability to run over many sites (i.e. simulating many grid cells) with a single program invocation. If running in such a mode, all cells are time-synchronized, which is highly significant for model coupling (Haas et al. 2013; Klatt et al. 2017). LandscapeDNDC is parallelized using MPI allowing the deployment on High Performance Computer (HPC) environments.
LandscapeDNDC, Biogeochemistry, Ecosystems, Modeling
(Abstract) Numerical data for Figs. 1-4 of the paper "BCS to incoherent superconductivity crossover in the Yukawa-Sachdev-Ye-Kitaev model on a lattice", by D. Valentinis et al. [DOI: 10.1103/PhysRevB.108.L140501], see readme.txt inside the main data folder
BCS to incoherent superconductivity crossover in the Yukawa-Sachdev-Ye-Kitaev model on a lattice - DATA
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.
Deutsches Mobilitätspanel (MOP) - Statistiken zur Alltagsmobilität sowie zu Fahrleistung und Kraftstoffverbrauch 2006 - 2015
This dataset contains backward trajectories analyzed in the study "A Lagrangian perspective on stable water isotopes during the West African Monsoon" (Diekmann et al., 2021). The trajectories are based on a COSMOiso simulation provided by Andries J. de Vries (ETH Zurich) and were computed with the tool LAGRANTO (Sprenger and Wernli, 2015).
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
Data for "A Lagrangian perspective on stable water isotopes during the West African Monsoon"
Processed micro-tomographic scan of the ant Technomyrmex 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.
3D USCT II (2nd generation) experimental data. The following datasets are included: 1: Organic phantom: olive embedded in turkey steak and gelatin. 2: Empty measurement with the same parameters as the organic phantom.
In order to utilize the data, we provide a MATLAB interface. It can be accessed via GitHub repository at https://github.com/KIT-3DUSCT/3DUSCT-data-access-script. The source code is provided under 3-clause BSD-license. The interface software enables retrieving A-scans, emitter and receiver positions, and additional meta data as e.g. ultrasound pulse information, temperature distribution in water. For questions and bug reports regarding the MATLAB interface please use the GitHub issue tracker. Further information on the experimental setup (sytem description) are available on the webpage http://ipeusctdb1.ipe.kit.edu/~usct/challenge/?page_id=92
Institut für Nukleare Entsorgung (INE), Karlsruher Institut für Technologie (KIT)
Institut für Photonenforschung und Synchrotronstrahlung (IPS), Karlsruher Institut für Technologie (KIT)
Universität Heidelberg (Universität Heidelberg)
The actinides possess a complex electronic structure, making their chemical and physical properties among the least understood in the periodic table. Advanced spectroscopic tools, able to obtain deep insights into the electronic structure and binding properties of the actinides, are highly desirable. Here, we introduce two sensitive spectroscopic tools: one determines the number of localized 5f electrons on an actinide atom, and another assesses the covalent character of actinide-ligand bonding. Both tools are based on the multiplet structure present in actinide M4 edge core-to-core resonant inelastic X-ray scattering (CC-RIXS) maps. The spectral intensity of different many-body final-state multiplets directly depends on the local many-electron ground-state symmetry including the local 5f spin configuration. By comparing U M4 edge CC-RIXS data for 21 U, Np, Pu and Am compounds, we demonstrate the ability to compare the number of localized 5f electrons and bond covalency across the actinide series.
This is the research data to publication "Resonant inelastic X-ray scattering tools to count 5f electrons of actinides and probe bond covalency" in Nature Communications 2024
Research Data to publication "Resonant inelastic X-ray scattering tools to count 5f electrons of actinides and probe bond covalency"
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.
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
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 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.
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.
Dieser Datensatz ist eine RO Crate Kollektion (ZIP-File) der Rohdaten aus tribologischen Experimenten einer LDS Spritzschicht in Kontakt mit 6 unterschiedlichen diamantartigen Kohlenstoffschichten (DLC). Die Messungen wurden als Funktion der Gleitgeschwindigkeit und der Normalkraft durchgeführt.
LDS vs DLC Tribology Demo Experiments raw data
Institut für Angewandte und Numerische Mathematik (IANM), Karlsruher Institut für Technologie (KIT)
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 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.
Institut für Angewandte Geowissenschaften (AGW), Karlsruher Institut für Technologie (KIT)
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
National Food Chain Safety Office, Hungary
Synchrotron X-ray microtomographic data of heads of Nasonia wasps analyzed in Hoag et al. 2025. The original tomograms were aligned, cropped and converted to 8 bit.
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
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.
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).
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 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.
Data related tp publication https://doi.org/10.1103/PhysRevB.104.024511
Inhomogeneous time-reversal symmetry breaking in Sr2RuO4 - Data
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.
Institut für Biologische Grenzflächen (IBG), Karlsruher Institut für Technologie (KIT), Institut für Organische Chemie (IOC), Karlsruher Institut für Technologie (KIT)
This DOI contains pulse shapes (Bruker format), pulse shapes (Topspin), NMR data (JCAMP-DX and Bruker format), and simulation code (Julia - programming language) as used in the corresponding publication.
This dataset contains FAIR records which describe the tribological experiment Copper under Constant Normal Load #0009, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0009 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
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 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.
This dataset contains FAIR records which describe the tribological experiment Copper under Constant Normal Load #0012, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0012 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
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.
Release notes: https://git.scc.kit.edu/mpp/mpp/-/tags/3.1.2
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 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 Katalyseforschung und -technologie (IKFT), Karlsruher Institut für Technologie (KIT), Karlsruher Institut für Technologie (KIT), Karlsruher Institut für Technologie (KIT)
Nanoparticles Monte Carlo DFT Simulated annealing Catalysis
Modeling the Shape and Stability of Co Nanoparticles as a Function of Size and Support Interactions through DFT Calculations and Monte Carlo Simulations: SI
Release notes: https://gitlab.kit.edu/kit/mpp/mpp/-/releases/3.4.0
Processed micro-tomographic scan of the ant Camponotus singularis, scanned at KIT Light Source. This dataset is part of 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 simulations were performed with the atmospheric component of the ICON model. The model is run with the physics package used for numerical weather prediction (version 2.1.00). The simulations are performed in R2B04 horizontal resolution (approximately 160km) with 47 levels extending up to 75km. A time step of 720s is used. We use a present-day setup and the cloud-locking method to determine the impact of regional cloud-radiative changes in the tropics, midlatitudes and polar region. This data has to be used together with 10.5445/IR/1000094317 (ICON model simulations for publication "Cloud-radiative impact on the regional responses of the midlatitude jet streams and storm tracks to global warming") to determine both the role of global and regional cloud-radiative changes. The numbers after T (sea-surface temperature) and C (cloud-radiative properties) in the cloud-locked simulations are - 1 for the control simulation - 2 for the simulation with a uniform SST increase. For the regional cloud-radiative changes, the number after C refers to the cloud-radiative properties in region reg - TR for tropics (30S-30N) - ML for midlatitudes (30N-60N, 30S-60S) - PO for polar regions (60N-90N, 60S-90S) T1C2TR means, for example, that we use C2 clouds in the tropics and C1 clouds in the midlatitudes and polar regions. # 4d (time-lev-lat-lon) data - ICON-NWP_AMIP_T?C?reg_3d_mm.nc The files contain monthly-mean data for 29 years. # storm track (lat-lon) data - st_ICON-NWP_AMIP_T?C?reg_geopot500.nc: time-mean storm track (mean over all years) - st_T?C?reg_1980to2008.nc: time series of annual-mean storm track data - st_ICON-NWP_AMIP_T?C?reg_geopot500_DJF.nc: time-mean storm track for DJF season (mean over all years) - st_T?C?reg_1980to2008_DJF.nc: time series of DJF storm track data -> analogously for MAM, JJA, SON # transient and stationary components of eddy momentum flux and eddy heat flux, (time-lev-lat-lon) data ICON-NWP_AMIP_T?C?_vT_uv_stationary_transient_mm.nc (global cloud changes) ICON-NWP_AMIP_T?C?reg_vT_uv_stationary_transient_mm.nc (regional cloud changes) Variables: - vTtrans: eddy heat flux, transient component - uvtrans: eddy momentum flux, transient component - vTstat: eddy heat flux, stationary component - uvstat: eddy momentum flux, stationary component The files contain monthly-mean data for 29 years.
ICON model simulations for publication "The role of tropical, midlatitude and polar cloud-radiative changes for the midlatitude circulation response to global warming"
Simulation results tagged f05864 (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.
Research data corresponding to the publication "Two-step absorption instead of two-photon absorption in 3D nanoprinting".
Two-step absorption instead of two-photon absorption in 3D nanoprinting
This folder contains videos of fragments of plastic cups (Cup_PP_05) being transported with a given flow condition (V5) in physical laboratory experiments.
Surfaced and suspended plastic: Cup_PP_05_V5 (videos)
Flow field in drying poly(vinyl acetate) methanol film partially covered and subject to Marangoni convection
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 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.
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"
### **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. To optimize deployment requirements (power, permits, etc.) as well as to reduce demand for additional KITcube flux towers, all instruments were deployed as close as possible to three pre-existing i-Box flux towers (CS-VF0, CS-SF1, CS-NF27). ### **2. Temporal coverage** 01.08.2019 - 13.10.2019 ### **3. Instrument details and data file structure** Available here are archived directories, corresponding to a particular device (WLS200s-115, WLS200s-124, WLS200s-125), including the coplanar-retrieved (i.e. dual-Doppler) output and additional four text files. ***WLS200s_xyz_YYYY-MM-DD.zip*** daily .zip files contain raw measurements collected with three WLS200s Windcube Doppler lidars, IDs xyz=115, 124, 125 (Leosphere). All three Windcubes used Windforge v3.1.1 for data acquisition. The raw measurements are organized into daily .zip files, each containing folder 'wind_and_aerosol_data' with separate .nc.gz files for each 1-min direct and indirect RHI scans in hourly folders, along with other support data in folders 'environmental data', 'scan type', 'resolutions', and 'settings'. ***WLS200s_coplanar_retrieval_YYYYMMDD.zip*** daily .zip files contain the coplanar-retrieved wind field organized into hourly NetCDF files. The retrieval algorithm by Haid (2019) was used to obtain the wind field. ***WLS200s_miscellaneous.zip*** file contains text files of the type 'WLS200s-xyz_scans_with_faulty_acquisition.txt'. These files contain time stamps (in UTC) of RHI scans affected by an occasionally faulty acquisition, resulting in two adjacent time stamps having recorded a same elevation angle. This typically affected pcolor/contour plotting routines. The issue was most common with WLS200s-125. On the other hand, the text file 'ceilometer_precipitation_flag.txt' contains the time stamps (in UTC) marked as experiencing either precipitation or sufficiently deep cloud cover. Specifically, if a given 1-min vertical profile of uncalibrated CHM15k backscatter up to 4 km above ground level, was characterized by more than 20% of backscatter coefficients exceeding 55 dB, it was deemed as ”precipitating”. Valid only for Kolsass. ### **4. Locations** With the exception of the WLS200s-115 (@ Hochhaeuser) and WLS200s-125 (@ Mairbach) Windcube Doppler lidars, all other KITcube instruments were deployed at Kolsass, the headquarter site for the field campaign. All sondes were also launched and tracked from Kolsass. Kolsass - 47.305290°N / 11.622231°E Hochhaeuser - 47.286182°N / 11.631232°E Mairbach - 47.326664°N / 11.608736°E ### **5. Contact** Contact nevio.babic@kit.edu for any questions regarding the data sets. ### **6. References** Haid, M., 2019: marenha/doppler_wind_lidar_toolbox: First release (v1.0.0). Zenodo, doi:10.5281/zenodo.3583083
The data sets found here were collected with the KITcube measurement platform 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 der KITcube-Messplattform 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) - KITcube data sets [WLS200s]
This is a re-gridded Level-3 dataset of the MUSICA IASI water isotopologue pair product. It is based on the Level-2 datasets from the MUSICA IASI full retrieval (https://dx.doi.org/10.35097/408) and the a posteriori processed {H2O, δD} pairs (https://dx.doi.org/10.35097/415), which use the thermal nadir radiances measured by the IASI instrument aboard the Metop satellites. This Level-3 dataset consists of quality-filtered {H2O, δD} pair data re-gridded on a regular 1°x1° grid and interpolated on the fixed atmospheric altitude levels 3.0, 4.2 and 6.4 km above sea level. It provides H2O and δD (including their errors) as well as information about the atmospheric temperature and pressure and some metrics documenting the representativeness of the horizontally re-gridded data. The Level-3 data are provided globally and twice daily (morning and evening overpass times) and currently comprise the full period between October 2014 and December 2020 (leading to a data volume of about 22GB). Depending on available resources, this dataset will be updated to current measurements (for data availability updates please refer to the MUSICA IASI data web page https://www.imk-asf.kit.edu/english/musica-iasi-h2oiso-v2.php). Details on this dataset are summarized in the file "ReadMe.pdf".
Regular 1°x1° re-gridded MUSICA IASI water isotopologue pair dataset (a posteriori processing version 2)
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 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 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 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 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 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 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.
An infinite cylinder containing a fluid in solid body rotation (SBR) is impulsively stopped. The decay and self-organisation of the initial SBR due to the forming boundary layer and multiple transitions is addressed by means of direct numerical simulations for a wide range of Reynolds numbers. The flow undergoes five distinct flow stages during its decay, which are characterised by means of statistical evaluation. This database features statistics of four different spin-down simulations at different $Re$.
------------------------------------------------------------------------------------------------------------------------ Statistics on spin down for different Re ------------------------------------------------------------------------------------------------------------------------ this database features: * statistics of four different spin-down simulations at different Re=\Omega R^2/\nu; * global volume-averaged data for turbulent kinetic engery (k), mean kinetic energy (K) and their budget equations; * temporal evolution of 1D quantities such as wall-shear stress, boundary-layer thickness; * temporal evolution of spatially (over z and \phi) averaged bulk data such as mean velocity, Reynolds-stresses etc.; * terms of the k and K budget equations as function of t and r. ------------------------------------------------------------------------------------------------------------------------ Acknowledgment: The financial support by the German Research Foundation (DFG) under Priority Programme SPP-1881 is greatly acknowledged. ------------------------------------------------------------------------------------------------------------------------ References: F. Kaiser, B. Frohnapfel, R. Ostilla-Monico, J. Kriegseis, D. E. Rival and D. Gatti (2019) "Flow stages during vortex decay in an impulsively stopped rotating cylinder", Journal of Fluid Mechanics, (to be submitted) ------------------------------------------------------------------------------------------------------------------------ Content: folders for different Re: Re3000, Re6000, Re12000, Re28000 each folder contains: tot.dat --> 1D data such as wall-velocity, boundary-layer thickness, volume average K, volume average k etc. t.dat --> time steps (spacing dt increases during late stages of decay) r.dat --> radial positions of the grid bulk --> folder: contains dat files for non-zero bulk quantities as functions of r and t. mean velocity, mean vorticity, velocity in wall units, Reynolds stresses mke --> folder: contains terms of the K budget equation as functions of r and t: K, production, dissipation, turbulent transport, viscous transport tke --> folder: contains terms of the TKE budget equation as functions of r and t: k, production, dissipation, turbulent transport, viscous transport, pressure diffusion Refer to the readme files in each subdirectory for further information on each database. ------------------------------------------------------------------------------------------------------------------------ Changelog: May-08-2019: database uploaded ------------------------------------------------------------------------------------------------------------------------ frieder.kaiser@kit.edu davide.gatti@kit.edu bettina.frohnapfel@kit.edu
Dataset to "Flow stages during vortex decay in an impulsively stopped rotating cylinder"
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 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 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.
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”.
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
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.
Direct numerical simulation (DNSs) are used to systematically investigate applicability of minimal channel approach for characterization of roughness-induced drag in irregular rough surfaces. Roughness is generated mathematically using a random algorithm, in which the power spectrum (PS) and probability density function (PDF) of surface height function can be prescribed. 12 different combinations of PS and PDF are examined and both transitionally and fully rough regimes are investigated (roughness heights varies in the range $k^+$ = 25 -- 100). It is demonstrated that both roughness function ($\Delta U^+$) and zero-plane displacement can be predicted within $\pm5\%$ accuracy using DNS in properly sized minimal channels. Notably, the predictions do not deteriorate when a limited range of large horizontal roughness scales are filtered out due to the small channel size (here up to 10\% of original roughness height spectral energy based on 2D PS). Additionally, examining the results obtained from different random realizations of roughness shows that a certain combination of PDF and PS leads to a nearly unique $\Delta U^+$ for deterministically different surface topographies. In addition to the global flow properties, the distribution of time-averaged surface force exerted by the roughness onto the fluid is calculated and compared for different cases. It is shown that patterns of surface force distribution over irregular rough surfaces can be well captured when the sheltering effect is taken into account. This is made possible applying the sheltering model proposed by Yang et al. to each specific roughness topography. Furthermore, an analysis of the coherence function between roughness height and surface force distributions reveals that the coherence drops at larger streamwise wavelengths, which can be an indication that very large horizontal scales are less dominant in contributing to the skin friction drag. Finally, some existing roughness correlations are assessed using the present roughness dataset, and it is shown that the correlation predictions for the values of equivalent sand-grain roughness mainly lie within $\pm30\%$ error in comparison to the DNS results.
These files contain the data used in the publication: “DNS-based characterization of pseudo-random roughness in minimal channels” J. Yang, A. Stroh, D. Chung and P. Forooghi published in Journal of Fluid Mechanics doi:10.1017/jfm.2022.331 Numerical Details: The carried out DNS is based on a pseudo-spectral solver for incompressible boundary layer flows developed at KTH/Stockholm. The Navier-Stokes equations are numerically integrated using the velocity-vorticity formulation by a spectral method with Fourier decomposition in the horizontal directions and Chebyshev discretization in the wall-normal direction. For temporal advancement, the convection and viscous terms are discretized using the 3rd order Runge-Kutta and Crank-Nicolson methods, respectively. The simulation domain represents an turbulent channel flow with periodic boundary conditions applied in streamwise and spanwise directions, while the wall-normal extension of the domain is bounded by no-slip boundary conditions at the upper and lower domain wall. The flow is driven by a prescribed constant pressure gradient (CPG). The friction Reynolds number for the present case is fixed to Re_τ = 500. The structured surface is introduced through an immersed boundary method (IBM) based on the method proposed by Goldstein et al. (1993) and is essentially a proportional controller which imposes zero velocity in the solid region of the numerical domain. Data Files: The data files are saved and labeled in *.mat files. Each file contains MATLAB data consisting of the roughness height distribution and corresponding coordinates. The roughness structures are non-dimensionalized with the channel half height δ. Reference: Please provide a reference to the article above when using this data. Please direct questions regarding numerical setup/data to Jiasheng Yang (jiasheng.yang@kit.edu)
Dataset for DNS-based characterization of pseudo-random roughness in minimal channels
Different data bases with the simulation results. For the single supply chain location there exist the following data bases: - State1.db contains the result for the original data set - State1_Baseline.db contains the results for the amplified data sets and the baseline model - State1_Adaptive.db contains the results for the amplified data sets and the adaptive model - State2.db contains the results for the original and amplified data sets and the adaptive+cost model - SQ.db contains the results for the original and amplified data sets and the (s, q) policy For the supply chain with three nodes there exist the following data bases: - SC3N_Central.db contains the result for the original and amplified data set of the central model - SC3N_Decentral.db contains the result for the original and amplified data set of the decentral model
Results for the Different Parameter Tests of the Developed RL Agents in the Dissertation
Processed micro-tomographic scan of the ant Typhlomyrmex 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.
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"
The metadata file "msei_final" contains the following metadata per dataset: sample_id, molfile, ontology term, analysis_id, instruments, authors, content, molfile_id
The dataset was gained as a subset of information from Chemotion repository after (1) filtering for mass spectrometry data with a precision of 0.001 Da, and (2) removal of duplicates
The collection was gained from contributions of the following scientists: Alexander B. Braun, André Jung, Angela Wandler, Arnaud Westeel, Chloé Liagre, Christoph Zippel, Cornelia Mattern, Daniel Knoll, Danny Wagner, Eduard Spuling, Florian Mohr, Georg Manolikakes, Hannes Kühner, Harald Kelm, Helena Šimek, Ilga Kristine Krimmelbein, Irina Protasova, Isabelle Wessely, Jana Barylko, Janina Beck, Jasmin Busch, Jérôme Klein, Jérôme Wagner, Julian Brückel, Ksenia Kutonova, Laura Holzhauer, Lisa Schmidt, Lukas Langer, Lutz-F. Tietze, Martin Nieger, Mirja Dinkel, Miro Hałaczkiewicz, Nicolai Rosenbaum, Nicolai Wippert, Nicole Jung, Niklas Krappel, Olaf Fuhr, Patrick Hodapp, Simon Oßwald, Simone Gräßle, Stefan Bräse, Susanne Moser, Sylvain Grosjean, Sylvia Vanderheiden-Schroen, Thomas Hurrle, Victor Larignon, Vikas Aggarwal, Yannick Matt, Yichuan Wang, Zhen Zhang
This collection contains mass spectrometry data that were collected in the research data repository Chemotion from 2019-2023. The scientists who contributed to this collection are given as additional information (-> Other) to this dataset. The dataset was collected to enable the systematic re-use of the mass spectrometry data in Chemotion repository.
The provided zip folder includes 599 datasets including at least one *.jdx file each and one metadata file "msei_final" with metadata describing the 599 datasets
Ministry of Science, Research and Arts Baden-Württemberg
Chemotion Repository - Data collection: mass spectrometry data
Processed micro-tomographic scan of the ant Veromessor 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 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.
ESACCI ozone data for O3as service (v1: zonal means and monthly means of total columns)
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.
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
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.
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"
Enguri- Video Logging in Boreholes Around Enguri High Dam in Georgia: 2023
openCARP is an open cardiac simulator for in-silico experiments
Research Institute of Meteorology and Water Resources (FUNCEME)
das Chagas Vasconcelos Júnior, Francisco
Karlsruhe Institute of Technology - Institute of Meteorology and Climate Research - Department Troposphere Research (IMK-TRO)
In semi-arid regions, interannual variability of seasonal rainfall and climate change is expected to stress water availability and increase the recurrence and intensity of extreme events such as droughts or floods. Local decision makers therefore need reliable long-term hydro-meteorological forecasts to support the seasonal management of water resources, reservoir operations and agriculture. In this context, an Ensemble Kalman Filter (EnKF) framework is applied to predict sub-basin-scale runoff employing global freely available datasets of reanalysis precipitation (ERA5-Land) as well as Bias-Corrected and Spatially Disaggregated seasonal forecasts (SEAS5-BCSD). Runoff is estimated using least squares predictions, exploiting the covariance structures between runoff and precipitation. This repository contains the runoff observations, the final EnKF-based runoff predictions, reference precipitation from ERA5-Land, bias-corrected and spatially disaggregated seasonal precipitation forecats from SEAS5-BCSD as well as shapefiles delineating the sub-basin-boundaries within the Rio São Francisco River Basin.
Ensemble Kalman-Filter-based seasonal runoff predictions for the Rio São Francisco River Basin
We present high resolution measurements of trace species (e.g.: O3, H2O, HNO3, PAN, C2H6, HCOOH, NH3, BrONO2, ClONO2) in the Upper Troposphere and Stratosphere from the Gimballed Limb Observer for Radiance Imaging of the Atmosphere Balloon version (GLORIA-B) during the HEMERA campaign with base in Esrange/Kiruna, Sweden, on board of a high altitude stratospheric research balloon (operated by CNES) 2021.
We highly recommend to contact the GLORIA team at KIT or Jülich before using the data for scientific studies.
GRIMM Aerosol Technik Ainring GmbH & Co. KG, Ainring, Germany
Disy Informationssysteme GmbH, Karlsruhe, Germany
This is the dataset collected by the SmartAQnet project. The dataset was collected in the model region of Augsburg, Germany between 2017 and 2020 and contains 248,572,003 observations recorded by over 180 individual devices, including ceilometers, Radio Acoustic Sounding System (RASS), mid- and low-cost stationary measuring equipment using meteorological sensors and particle counters, and low-weight portable measuring equipment mounted on different platforms such as trolley, bike, and UAV. Detailed description of the dataset could be found in the dataset discription paper "SmartAQnet 2020: A New Open Urban Air Quality Dataset from Heterogeneous PM Sensors" (DOI: 10.14644/dust2021.001).
German Federal Ministry of Transport and Digital Infrastructure
Air Quality, Aerosol, Particulate Matter, Open Data
TECO, Karlsruhe Institute of Technology (KIT)
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 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 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.
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 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.
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
Institut für Anorganische Chemie (AOC), Karlsruher Institut für Technologie (KIT)
X-ray powder diffraction (XRD): Data was processed using WinXPow to transform the obtained .raw data into .xy data avoiding negative intensities. Data was plotted using OriginLab. 57Fe Mössbauer spectroscopy: The spectra were fitted with WinNormos and plotted using OriginLab. X-ray absorption spectroscopy (XAS): All XAS spectra were analyzed and processed utilizing the ATHENA software package. The X-ray absorption near edge spectra (XANES) regions of the XAS spectra were acquired by subtracting the pre-edge background from the overall absorption and normalizing to the spline fit using the ATHENA software package.
Lithiumrecycling aus Batteriematerialien mit einem mechanochemischen Ansatz
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
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.
The data is delivered as a set of yearly archive files with each archive containing monthly netCDF files of the respective year.
The data set comprises CFC-11 data of the Earth's middle atmosphere region for the years 2002-2012 as derived from MIPAS on Envisat and retrieved with the IMK/IAA level-2 processor. The MIPAS observation modes FR (2002 - 2004, F-11_61), RR-NOM (2005 - 2012, F-11_261), RR-UTLS-1 (2005 - 2007, F-11_161), and RR-MA (2005 - 2012, F-11_561) are covered. The data version is V8.
MIPAS middle atmosphere stratosphere mesosphere UTLS CFC-11 R-11 Freon 11 Trichlorofluoromethane
Version 8 IMK/IAA MIPAS measurements of CFC-11: the data set
Dataset which contains the data used in the publication "Ultrabroadband 1D and 2D NMR Spectroscopy", including 2D NMR spectra, Pulse shapes and pulse programs.
Ultrabroadband 1D and 2D NMR spectroscopy
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.
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"
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 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 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 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.
# 🔬️ 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.
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 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.
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.
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.
This database provides the datapoints for the publication "von Deyn, L. H., Gatti, D., & Frohnapfel, B. (2022). From drag-reducing riblets to drag-increasing ridges. Journal of Fluid Mechanics, 951, A16. Cambridge University Press".
-------------------------------------------------------------------------------- Database: From Drag-Reducing Riblets to Drag-Increasing Ridges -------------------------------------------------------------------------------- This database provides the measurement data presented in the journal article "From drag reducing riblets to drag increasing ridges" (doi:10.1017/jfm.2022.796). It features high-precision pressure measurements in a wind tunnel facility along the test section and the corresponding flow rate used to determine the skin friction drag change of ribelts and ridges. Datapoints for eight geometrically different sets of 2D trapezoidal groove geometries are included. Different orifice diameters are used to cover the bulk Reynolds number range $4500<Re_b<85000$ as specified in table 1. The introduced index is used in the data files to mark the different orifices. Table 2 provides the physical dimensions of the investigated geometries. For more details refer to the journal article, figure 2 and table 2. table 1: |type | index | diameter | range in Re_b |----------------|:-------------------------------:|:-----------------------------:|:------------------: |orifice|1 |60[mm] |4500<Reb<13000 |orifice|2 |105[mm] |6000<Reb<23000 |orifice|3 |120[mm] |7000<Reb<38000 |orifice|4 |150[mm] |30000<Reb<85000 -------------------------------------------------------------------------------- _____s_____ /\ /\ | / \ / \ |h __/ \ ___ / \ ____ --sr-- table 2: |ID | s[mm] | h[mm] | s/sr | tip angle |----------------|:----:|:-----:|:----:|:-----: |dr_1a|0.086 |0.09 |1 |51.1 |dr_1b|0.17 |0.18 |1 |50.6 |dr_1c|1 |0.87 |1 |60 |dr_2|0.614 |0.294 |2.07 |53.5 |di_2|5.31 |2 |2.3 |60 |di_4|9.23 |2 |4 |60 |di_8|18.48 |2 |8 |60 |di_13|27.31 |2 |13.2 |54.8 -------------------------------------------------------------------------------- Content: *readme.txt *dr_xx: four geometrically different sets of riblets measured in the range of 4500<Reb<85000. *di_xx: four geometrically different sets of ridges measured in the range of 4500<Reb<89000.
Database: From drag-reducing riblets to drag-increasing ridges
Karlsruhe Institute of Technology, 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
Data related to the paper "The Atmospheric Composition Component of the ICON modeling framework: ICON-ART version 2025.04" By Gholam Ali Hoshyaripour, Andreas Baer, Sascha Bierbauer, Julia Bruckert, Dominik Brunner, Jochen Foerstner, Arash Hamzehloo, Valentin Hanft, Corina Keller, Martina Klose, Pankaj Kumar, Patrick Ludwig, Enrico Metzner, Lisa Muth, Andreas Pauling, Nikolas Porz, Thomas Reddmann, Luca Reißig, Roland Ruhnke, Khompat Satitkovitchai, Axel Seifert, Miriam Sinnhuber, Michael Steiner, Stefan Versick, Heike Vogel, Michael Weimer, Sven Werchner, and Corinna Hoose. https://doi.org/10.5194/egusphere-2025-3400
atmospheric composition, atmospheric aerosols, atmospheric chemistry
ICON-ART v2025.04: Simulation Data Supporting the GMD Publication
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 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.
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
1.8 million ECGs derived from multiscale simulations of cardiac electrophysiology of ventricular extrasystoles. 1000 anatomical variants of a bi-ventricular mesh x 600 excitation origins x 3 heart posiitions in the torso
In silico electrocardiograms of 1.8 million ventricular extrasystoles and corresponding activation maps (part 5)
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.
Helmholtz-Zentrum für Informationssicherheit
Measurement studies are essential for research and industry alike to understand the Web's inner workings better and help quantify specific phenomena. Performing such studies is demanding due to the dynamic nature and size of the Web. An experiment's careful design and setup are complex, and many factors might affect the results. However, while several works have independently observed differences in the outcome of an experiment (e.g., the number of observed trackers) based on the measurement setup, it is unclear what causes such deviations. This work investigates the reasons for these differences by visiting 1.7M webpages with five different measurement setups. Based on this, we build `dependency trees' for each page and cross-compare the nodes in the trees. The results show that the measured trees differ considerably, that the cause of differences can be attributed to specific nodes, and that even identical measurement setups can produce different results.
This repository hosts the dataset corresponding to the paper "On the Similarity of Web Measurements Under Different Experimental Setups", which was published at the Proceedings of the 23nd ACM Internet Measurement Conference 2023.
Dataset: On the Similarity of Web Measurements Under Different Experimental Setups
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.
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.
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"
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.
Institut für Technische Chemie und Polymerchemie (ITCP), Karlsruher Institut für Technologie (KIT), Institut für Katalyseforschung und -technologie (IKFT), Karlsruher Institut für Technologie (KIT)
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
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.
This software retrieves the different contrasts transmission, scattering and differential phase from 2D patterned images of Hartman or Shack-Hartman sensors. Additionally the absolute phase can be reconstructed.
With SHWaveRecon you can reconstruct mutli-contrast images from Hartman and Shack-Harmtan like sensors which generate a 2D pattern of light spots. It allows to reconstruct the transmission, scattering (also called diffraction or dark-field), diferential phase and also the absolute phase by comparing images without and with the tested sample. For a detailed description of the usage please see the README.txt file which can be opened directly in the software.
Shack-Hartman sensor wavefront reconstruction software
Processed micro-tomographic scan of the ant Dorylus 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 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.
Institut für Photogrammetrie und Fernerkundung (IPF), Karlsruher Institut für Technologie (KIT)
This dataset contains vertical displacement times series of the Earth’s surface in the Vietnamese Mekong Delta for the time period between April 2017 and April 2022, which were estimated with the Persistent Scatterer Interferometry (PSI) method described in Dörr et al. (2024, accepted for publication). The method was applied to descending and ascending SAR stacks acquired by ESA’s Sentinel-1 constellation, which contained 277 and 115 VV-polarized SAR scenes, respectively, and were acquired in the interferometric wide swath mode. The applied PSI method features (i) a full integration of Temporary Persistent Scatterers, enabling the monitoring of areas with infrastructural land cover changes during the considered time series; (ii) a method to optimally integrated reference points with known displacement to suppress spatially correlated noise. For the latter, we here made use of a combination of solid rock outcrops and an infrastructural reference network consisting of large bridges with deep pile foundations of about 70 m, which were selected in statistical cross-checks. Referencing to these bridges results in the fact that only subsidence originating from soil layers above their foundation depth of the used bridges could be measured in large parts of the study area. However, we discussed in Dörr et al. (2024, accepted for publication) that the largest part of the total subsidence originates from shallower layers. The provided dataset can make a crucial contribution to in-depth studies of the causes and future projections of land subsidence in the Mekong Delta. They can, for example, serve as input for hydro-geological modeling, or can be examined with regard to correlations with environmental and anthropogenic parameters, such as groundwater extraction rates, land cover and land use, as well as climatological data. Reference: Dörr, N., Schenk, A., Hinz, S. (2024, accepted for publication). Land subsidence in the Mekong Delta Derived from Advanced Persistent Scatterer Interferometry with an Infrastructural Reference Network, accepted for publication in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
The dataset contains two netCDF-4 files and a readme.txt file. The netcdf-4 files contain vertical displacement time series -between April 2017 and April 2022- and related information of identified (temporary) persistent scatterers in the analyzed descending and ascending Sentinel-1 stacks, respectively. The specific contents of the netCDF-4 files, as well as information on its recommended use are given in readme.txt.
Vertical surface displacement time series in the Vietnamese Mekong Delta derived from Advanced Sentinel-1 Persistent Scatterer Interferometry
Tabletop Microplotter - Scaffold Structure (Difficult Access Example)
Release notes: https://git.scc.kit.edu/mpp/mpp/-/tags/3.2.0
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 Pheidole aurivilli, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Spectra in JCAMP-DX and Bruker format together with Bruker pulse programs used for acquisition of example NMR spectra.
Simulated concentration data for birch pollen, birch SPP and hydrometeors and atmospheric variable (Part 13)
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
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.
This repository contains the post-processed outputs, namelist files, and XML configuration files for the conducted model experiments with ICON release 2025.04 associated with the manuscript: [Ramezani Ziarani, M., Sinnhuber, M., Reddmann, T., Funke, B., Bender, S., and Prather, M.: Implementation of solar UV and energetic particle precipitation within the LINOZ scheme in ICON-ART, Geosci. Model Dev. Discuss. [preprint]]( https://doi.org/10.5194/gmd-2024-227), in review, 2025. ICON release 2025.04 is available through the ICON partnership (MPI-M; DWD; DKRZ; KIT; C2SM) (2025). ICON release 2025.04. World Data Center for Climate (WDCC) at DKRZ. [https://doi.org/10.35089/wdcc/iconrelease2025.04](https://doi.org/10.35089/wdcc/iconrelease2025.04) By downloading the ICON source code, users agree to the license terms set by the ICON partners.
Model Experiment Output and Configuration (LINOZV3 Integration into ICON release 2025.04)
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
- 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
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
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).
Processed micro-tomographic scan of the ant Tetramorium kestrum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with 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 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.
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
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.
Die Forschungsdaten gehöre zur folgenden Publikation: T. Hanemann, A. Klein, S. Baumgärtner, J. Jung, D. Wilhelm, S. Antusch, Material Extrusion 3D Printing of PEEK-Based Composites, Polymers, 15(16), 3412 (2023), DOI: 10.3390/polym15163412.
Der Datensatz beschreibt die Herstellung und Charakterisierung von PEEK-basierten Kompositen.
The dataset describes the production and characterization of PEEK-based composites.
Research on poly(ether ketone ketone) PEEK based composites
This folder contains videos of small plastic films (Film_HDPE_15) being transported with a given flow condition (V1) in physical laboratory experiments.
Surfaced and suspended plastic: Film_HDPE_15_V1 (videos)
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.
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
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.
Supplementary data for referenced paper. For more information, see README.md
Data for Paper: Magnetic 2π domain walls for tunable Majorana devices (arXiv)
Wetting behaviour of ink jet printed electronic inks on patterned substartes
Monolithically printed all-organic flexible photosensor active matrix
Survey on storage and long-term archiving of research data at KIT
ZAK | Zentrum für Angewandte Kulturwissenschaft und Studium Generale
Umfrage zur Speicherung und Langzeitarchivierung von Forschungsdaten am KIT
Data for "Helitronics as a potential building block for classical and unconventional computing"
Seismic signals as are emitted by wind turbines can be rather narrow band and appear as distinct peaks in a spectral analysis. Nevertheless, their signal phase is suffiently stochastic so that power spectral density (PSD) is an accurate and robust measure of the signal level and its spectral distribution. A conservative smoothing over a narrow bandwidth (as small as 0.01 Hz) reduces the stochastic scatter while preserving the information on spectral variability. Values of rms-amplitude in a finite bandwidth can easily be computed from PSD and would represent the time domain signal background. This measure is helpful to estimate the signal-to-noise ratio for earthquake peak amplitudes. Amplitude values, however, are somewhat arbitrary because they are larger the wider the chosen bandwidth. A Jupyter notebook written in python is provided to test these concepts with various parameters on actual seismic recordings. A phase-coherent harmonic, for which PSD is mathematically infinite, is injected in the recorded data. By comparison with their signature the analysis demonstrates that the wind-turbine generated signals are not subject to scaling artefacts of PSD. The results are summarized in a presentation given at the 2025 annual conference of AG Seismologie in Kiel (Germany) at the meeting of the task group 'Auswertung seismologischer Signale von Windenergie-Anlagen' (Evaluation of seismological signals from wind turbines).
Measures for seismic signal levels of wind turbine emissions
The csv-files contain the processed model output (spatio-temporal means or maximum values) for output parameters of interest. This dataset was used to train the emulators which are also included as R workspaces. The R package "Sensitivity" is necessary to perform sensitivity analyses using the emulators.
This study aims to identify whether model parameters describing atmospheric conditions such as wind shear or model parameters related to cloud microphysics such as the fall velocity of hail lead to larger uncertainties in the prediction of deep convective clouds. In an idealized setup of a cloud-resolving model including a two-moment microphysics scheme we use the approach of statistical emulation to allow for a Monte Carlo sampling of the parameter space, which enables a comprehensive sensitivity analysis. We analyze the impact of three sets of input parameters (environmental conditions, microphysics, combined) on cloud properties (vertically integrated content of six hydrometeor classes), precipitation, the size distribution of hail and diabatic heating rates. This dataset contains the processed model output and the generated emulators when the convection is triggered by a warm bubble.
Training data and emulators for the analysis of sensitivity of deep convective clouds and hail to environmental conditions and microphysics
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.
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"
The data are described in the paper by M. Höpfner et al.: 'Ammonium nitrate particles formed in upper troposphere from ground ammonia sources during Asian monsoons', Nature Geoscience, 2019, https://doi.org/10.1038/s41561-019-0385-8.' The datasets are provided in netCDF format and can e.g. be visualized with the software Panoply which is available at 'https://www.giss.nasa.gov/tools/panoply/'.
Datasets from MIPAS and GLORIA infrared limb-sounding instruments, from AIDA cloud-chamber observations and from ATLAS and TRACZILLA trajectory calculations as used in the paper 'M. Höpfner et al., Ammonium nitrate particles formed in upper troposphere from ground ammonia sources during Asian monsoons', Nature Geoscience, 2019.
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 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 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.
To access the frequencies of the secondary ice production events, please refer to "Data_SIP_event_frequencies.pdf". Description of the high speed video footage can be found in "Video captions.pdf". The date format of the videos is yyyy/mm/dd.
Additional Material for "Secondary Ice Production upon Freezing of Freely Falling Drizzle Droplets" - High Speed Video Footage and SIP Event Frequencies
# 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
Processed micro-tomographic scan of the ant Mycocepurus smithii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with 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 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.
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'
file consists of data from following sensors, obtained during experiments: • blast pressure sensor • noise sensor • heat flux sensor • pipework thermocouples • pressure sensor • mass flow sensor • near-field weather station • far-field wind sensor • far-field humidity sensor and videos getted during experiments
Work package five of the PRESLHY project focusses on the combustion phenomena of liquid hydrogen (LH 2 ). The experimental programme was designed to provide insight into a number of credible and poorly understood LH 2 combustion scenarios. One such scenario is the effect of congestion or confinement on an ignited hydrogen cloud stemming from a release of LH 2 , potentially leading to deflagration to detonation transition (DDT). This report summarises the large-scale experiments carried out at the HSE Science and Research Centre in Buxton investigating the effect of differing levels of congestion and confinement on the combustion properties of a hydrogen cloud developing from a release of LH2. Various combustion parameters were measured, including; the overpressure, heat flux, and noise. Monitoring of ambient and release conditions were also made to allow for a thorough analysis of the results. A total of 23 ignited trials were completed and involved releasing LH2 using the same initial conditions as in the rainout experiments of work package 3, meaning that the dispersion patterns should remain similar. The congestion and confinement was created by a configurable steel structure placed directly in the path of the release. Two congestion levels, confinement and pool experiments were planned, however due to the safe noise level being reached, only the congestion experiments were completed. To compensate for this, multiple repeats and experiments with a wide variety of source conditions were conducted. From the results, it is clear that higher levels of volumetric congestion increases the measured overpressures in releases with the same initial conditions. The results also show that an increasing hydrogen inventory, either through an increased release pressure or larger nozzle, can result in a larger event upon ignition. However, the mixing of the jet also plays a part; some releases through the largest release orifice diameter showed lower overpressures potentially due to the hydrogen cloud being too rich. It was observed that the ambient conditions, in particular the wind speed and direction, were a significant factor in the outcome of each ignition. This was particularly prominent in trials 21 to 23.
Fuel Cells and Hydrogen Joint Undertaking (FCH JU)
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.
Inkjet-printed bipolar resistive switching device based on AgZnOAu structure
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 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.
The Gimballed Limb Observer for Radiance Imaging of the Atmosphere (GLORIA) was operated on board the German High Altitude and Long Range Research Aircraft (HALO) during the PGS (POLSTRACC/GW-LCYCLE/SALSA) aircraft campaigns in the Arctic winter 2015/2016. Research flights were conducted from 17 December 2015 until 18 March 2016 within 25–87°N, 80°W–30°E. From the GLORIA infrared limb-emission measurements, two-dimensional cross sections of temperature, HNO3, O3, ClONO2, H2O and CFC-12 are retrieved. During 15 scientific flights of the PGS campaigns the GLORIA instrument measured more than 15000 atmospheric profiles at high spectral resolution. Dependent on flight altitude and tropospheric cloud cover, the profiles retrieved from the measurements typically range between 5 and 14km, and vertical resolutions between 400 and 1000m are achieved. The estimated total (random and systematic) 1σ errors are in the range of 1 to 2K for temperature and 10% to 20% relative error for the discussed trace gases.
For a detailed description, discussion and validation of the data, please read: Johansson, S., Woiwode, W., Höpfner, M., Friedl-Vallon, F., Kleinert, A., Kretschmer, E., Latzko, T., Orphal, J., Preusse, P., Ungermann, J., Santee, M. L., Jurkat-Witschas, T., Marsing, A., Voigt, C., Giez, A., Krämer, M., Rolf, C., Zahn, A., Engel, A., Sinnhuber, B.-M., and Oelhaf, H.: Airborne limb-imaging measurements of temperature, HNO3, O3, ClONO2, H2O and CFC-12 during the Arctic winter 2015/2016: characterization, in situ validation and comparison to Aura/MLS, Atmos. Meas. Tech., 11, 4737-4756, https://doi.org/10.5194/amt-11-4737-2018, 2018.
GLORIA Chemistry Mode temperature and trace gas retrievals from the POLSTRACC/GW-LCYCLEII/GWEX/SALSA campaigns 2015/2016
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 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.
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 Gnamptogenys aff relicta, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with 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.
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
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"
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.
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"
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
# 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"
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
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 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.
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
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 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.
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
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 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.
The dataset contains measurements of magnetic susceptibility in dependence of temperature of shocked magnetite and of a natural magnetite single crystal before and after manual crushing. A python code for evaluation of low-temperature susceptibility curves is included. The data are supplementary to: Fuchs, H., Kontny, A. and Schilling, F.R., 2024. Stress-induced Changes in Magnetite: Insights from a Numerical Analysis of the Verwey Transition, Geophysical Journal International
The data set contains k-T curves of - Initial magnetite ore from Sydvaranger mine (Norway) - the same ore after shock at 3, 5, 10, 20 and 30 GPa under laboratory conditions and after subsequent heating to 973 K -Natural magnetite single crystal (initial and after manual crushing) The data set contains a python code for evaluation of normalized low-temperature k-T curves. Experimental conditions are described in [1]. The approach for k-T curve evaluation is described in [2] [1]: Kontny, A., Reznik, B., Boubnov, A., Göttlicher, J. and Steininger, R., 2018. Postshock Thermally Induced Transformations in Experimentally Shocked Magnetite, Geochemistry, Geophysics, Geosystems, Vol. 19, 3, pp. 921–931, doi:10.1002/2017GC007331. [2] Fuchs, H., Kontny, A. and Schilling, F.R., 2024. Stress-induced Changes in Magnetite: Insights from a Numerical Analysis of the Verwey Transition, Geophysical Journal International
Supplementary Data - Stress-induced Changes in Magnetite: Insights from a Numerical Analysis of the Verwey Transition
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
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.
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 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.
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
Research Centre for School Sports and the Physical Education of Children and Young Adults
On behalf of the State Chancellery of North Rhine-Westphalia, the Motor Test 1 (MT1) is used as an admission criterion for 5th grade at NRW sports schools under the leadership of the Research Centre for School Sports and the Physical Education of Children and Young Adults. Since the 2007/08 school year, MT1 has been carried out at NRW sports schools (18 locations, 32 partner schools). The MT1 is equivalent to the German Motor Test. The goal at NRW sports schools is to create ideal conditions for students in grade 5 and above to get started in competitive sports. In grade 7, the MT1 is repeated along with four additional motor test tasks to assess the development of motor performance.
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.
Fakultät für Bauingenieur-, Geo- und Umweltwissenschaften (BGU), 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.
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"
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Helmholtz-Institut Ulm (HIU), Karlsruher Institut für Technologie (KIT)
Nickel-rich stoichiometries such as NMC811 have gained increasing relevance for lithium-ion-batteries in recent years due to their high specific capacity and reduced use of critical resources. However, low intrinsic electronic conductivity of NMC active materials makes the use of carbon-based additives necessary. Volume fraction and distribution of the carbon-binder-domain (CBD) have a significant impact on the electrode performance. This work combines high-resolution tomography and microstructure-resolved simulations to characterize the three-dimensional transport networks of a commercial NMC811 cathode. FIB-SEM tomography reveals that low CBD volume fractions with suboptimal distribution cause a non-percolating conductive network in the microstructure and thus unfavourably low electronic conductivity. Increasing the CBD content through virtual electrode design enables percolation and enhances electronic conductivity fundamentally. Simulations on both the real and virtually designed structures demonstrate how percolating CBD networks lead to a significantly improved energy density.
Full research data is provided for figures 2c, 3, 5, S2, S3 and S4. Large 3D datasets are available upon request. Discharge curves (experimental and simulation) are provided with cell potential, time and areal discharge capacity.
Research Data if the Publication "Analyzing and improving conductive networks in commercial high-energy Ni-rich cathodes"
Processed micro-tomographic scan of the ant Veromessor pergandei, scanned at KIT Light Source. This dataset is part of 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 set comprises CFC-12 data of the Earth's middle atmosphere region for the years 2002-2012 as derived from MIPAS on Envisat and retrieved with the IMK/IAA level-2 processor. The MIPAS observation modes FR (2002 - 2004, F-12_61), RR-NOM (2005 - 2012, F-12_261), RR-UTLS-1 (2005 - 2007, F-12_161), and RR-MA (2005 - 2012, F-12_561) are covered. The data version is V8.
MIPAS middle atmosphere stratosphere mesosphere UTLS CFC-12 R-12 Freon 12 Dichlorodifluoromethane
Version 8 IMK/IAA MIPAS measurements of CFC-12: the data set
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 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.
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
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 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 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 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 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.
This data repository contains the raw data of the dissertation "Performance Analysis and Capacity Planning of Multi-stage Stochastic Order Fulfilment Systems with Levelled Order Release and Order Deadlines" by Uta Mohring. The data repository contains a separate folder for each sample: A1, A2, B, C, D, E, F, G.
Supplementary materials of the dissertation "Performance Analysis and Capacity Planning of Multi-stage Stochastic Order Fulfilment Systems with Levelled Order Release and Order Deadlines"
This code was used for the numerical experiments in the revised preprint (CRC Preprint 2021/12; URL: https://www.waves.kit.edu/downloads/CRC1173_Preprint_2021-12.pdf) and in the paper "Exponential integrators for quasilinear wave-type equations" by B. Dörich and M. Hochbruck.
This program is intended to reproduce the results from the preprint "Exponential integrators for quasilinear wave-type equations" by Benjamin Dörich and Marlis Hochbruck The codes generates the lines in Figure 1 ##################################################################################### 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 dolfin - 2018.1.0 fenics - 2018.1.0 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 dolfin - 2019.2.0.dev0 fenics - 2019.2.0.dev0 matplotlib - 3.3.2 tikzplotlib - 0.9.4 ##################################################################################### In the folder "DoeH21_quasilinear" open a console and run the following commands after each other. 1) Run "python3 1_generate_initial_matrices.py" 2) Run "python3 2_paper_run_reference_solution.py" 3) Run "python3 3_paper_run_Euler.py" 4) Run "python3 4_paper_run_midpoint.py" ##################################################################################### After running the calculations, the errors can be found in the folder "preprint_DoeH21_quasilinear/extracted_data/". (a) settings_* contains the information of the config file (b) infos_* contains the computed errors (c) plot_* contains a tikz-file which gives the plot for the Euler and the midpoint rule separately.
Numerical experiments to "Exponential integrators for quasilinear wave-type equations" (updated version)
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 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 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 Cephalotes betoi, scanned at KIT Light Source. This dataset is part of 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 #0023, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0023 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
This repository provides different artifacts developed in and used for the evaluation of the dissertation "Building Transformation Networks for Consistent Evolution of Interrelated Models". It serves as a reproduction package for the contributions and evaluations of that thesis. The artifacts comprise an approach to evaluate compatibility of QVT-R transformations, evaluations of interoperability issues in transformation networks and approaches to avoid them, a language to define consistency between multiple models, and an evaluation of this language. The package contains a prepared execution environment for the different artifacts. In addition, it provides a script to run the environment for some of the artifacts and automatically resolve all dependencies based on Docker.
Reproduction Package for the Dissertation on Building Transformation Networks for Consistent Evolution of Interrelated Models
### 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
Processed micro-tomographic scan of the ant Pseudomyrmex ferrugineus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with 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 coeca, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with 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.
PtOOH MLFF-MD Thermodynamic Integrations
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.
Documents: -Design of Experiments: Information about the toolpaths and technological Parameters of the experiments -Recording information: Information about the recordings with comments -Data: All recorded datasets. The first level contains the folders sorted by material. In the next level, the individual executions are located. The individual recordings are stored in the form of a JSON (internal machine data) and a Matlab file (external force sensors). These consist of a header with all relevant information such as the signal sources followed by the entries of the recorded time series. -NC-Code: NC programs executed on the machine -Tools: Product informations of tools used -Workpieces: Pictures of the workpieces Experimental data: -Machine: Retrofitted DMC 60H -Material: S235JR, AL 2007 T4 -Tools: -VHM-Fräser HPC, TiSi, ⌀ f8 DC: 10mm -Schaftfräser HSS-Co8, TiAlN, ⌀ k10 DC: 10mm -Workpiece blank dimensions: 150x75x50mm License: This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0).
Ziel des Datensatzes ist das Training und die Validierung von Modellen zur Vorhersage von Zeitreihen für Fräsprozesse. Dazu wurden an einer DMC 60H Prozesse mit einer Abtastrate von 500 Hz durch eine Siemens Industrial Edge aufgezeichnet und in einer JSON-Datei gespeichert. Die Maschine wurde steuerungstechnisch nachgerüstet und mit Kraftsensoren (Kistler 9255C) zur Erfassung der Prozesskräfte ausgestattet. Die Kräfte wurden mit einer Abtastrate von 10 kHz aufgezeichnet und in einer Matlab-Datei gespeichert. Insgesamt wurden drei verschiedene Geometrien abgebildet, ein Zahnrad, eine Nut und die Form einer Adapterplatte. Diese wurden sowohl für die Bearbeitung von Stahl als auch von Aluminium verwendet. Zusätzlich wurden für jede der drei Grundgeometrien Variationen im Prozess durchgeführt, indem die Eingriffstiefe, die Geschwindigkeit sowie die Spindeldrehzahl (siehe NC-Codes) verändert wurden.
The aim of the dataset is the training and validation of models for the prediction of time series for milling processes. For this purpose, processes were recorded on a DMC 60H with a sampling rate of 500 Hz by a Siemens Industrial Edge and saved in a JSON file. The machine was retrofited and equipped with force sensors (Kistler 9255C). The forces were recorded at a sampling rate of 10 kHz and saved in a Matlab file. A total of three different geometries were milled, a gear, a notch and a plate. These were used for the machining of both steel and aluminium. In addition, variations were made in the process for each of the three basic geometries by changing the depth of cut, the feedrate and the spindle speed (see NC codes).
Part series dataset of milling processes for time series prediction
Python code for analyzing the fluorescence of GFP immobilized on agarose beads from microscopy images.
Phytoncode used in: „Enhanced Enzyme Immobilization Using a Novel Agarose‐binding Tag Leads to Improved Flow Reactor Performance"
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.
Der DMT wurde an 3 Augsburger Grundschulen mit jeweils 2 Klassen durchgeführt.
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 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.
Data associated to the research entitled "Seismic Monitoring of a Deep Geothermal Field in Munich (Germany) using Borehole Distributed Acoustic Sensing" published in Sensors – MDPI with following doi: 10.3390/s24103061 (Azzola and Gaucher, 2024). The folder contains the MiniSEED data files corresponding to the unfiltered DAS data for both seismic events studied in Azzola and Gaucher (2024), and the processing scripts used on local and cloud workstations for event detection and description. The folder also contains the associated python libraries. Additional details are included to the README text file. Author: Jerome Azzola [KIT], jerome.azzola@kit.edu
Data from Seismic Monitoring of a Deep Geothermal Field in Munich (Germany) using Borehole Distributed Acoustic Sensing
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"
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.
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)
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 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 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.
EDL - Low-frequency Noise Characteristics of Inkjet-Printed Electrolyte-gated Thin-Film Transistors
These codes use the MATLAB programming language.
Codes to generate the numerical examples in the publication ”Filtered finite difference methods for nonlinear Schrödinger equations in semiclassical scaling”. These codes use the MATLAB programming language.
Filtered finite difference methods for nonlinear Schrödinger equations in semiclassical scaling - Codes
Karlsruhe Institute of Technology, IMK-ASF
During World War II, the German Kriegsmarine and Luftwaffe operated between 1941 and 1945 a series of weather stations in Svalbard to obtain information on synoptic weather situations in the Arctic. These activities included also some of the first automatic weather stations. With a few exceptions, the meteorological observations from these military stations are considered as lost. Most of these observations could now be retrieved from weather maps of the German “Zentrale Wetterdienstgruppe” (ZWG) that are preserved in the archive of the Deutsche Wetterdienst. Reports of surface pressure and temperature have been digitized for the military weather stations “Bansö” in 1941/42, “Knospe” in 1941/42, “Nussbaum” in 1942/43, “Kreuzritter” in 1943/44, “Svartisen” 1943/44, as well as some automatic weather stations operated on Svalbard. This data set contains station data of surface temperature and sea level pressure in Station Exchange Format (SEF).
Historical meteorological observations from military weather stations on Svalbard, 1941-1944
The 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 with a depth dependent background velocity.
The Numerical Scheme of Approximate Inverse for 2D Linear Seismic Imaging - Software Package
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 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.
Information about the content can be found on page 187 of the dissertation.
Processed micro-tomographic scan of the ant Veromessor lariversi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Material and Equipment: A high-temperature test cell (HTT Cell, PAT series test cell type, EL-Cell GmbH) was used for all experiments. Electrodes were purchased from CustomCells Itzehoe GmbH. The negative electrode has an area capacity of 2.2 mAh cm-2 with the following loading: 96 wt% SMG104 graphite active material, 2607SMG104. The capacity of the active material is 350 mAh g-1. It contained further styrene-butadiene-rubber/carboxymethyl cellulose (SBR/CMC) and conductive additives, all applied on copper foil; the positive electrode has an area capacity of 2.0 mAh cm-2, with the following loading: 93.5 wt% NMC 622 active material, K-771, capacity of the active material is 160 mAh g-1. It further contained polyvinylidene fluoride and conductive additives, all applied on aluminum foil. EC:DMC electrolyte (1:1 / v:v,1 M LiPF6, battery grade, Sigma Aldrich) was used. All electrodes were punched out to receive sheets with a uniform diameter of 18 mm. Their weight was measured (XS205, Mettler Toledo), and they were dried overnight at 120 °C under high vacuum before being transferred into an Ar glovebox (water and oxygen content under 0.1 ppm). All capacities were calculated based on the measured weight of the assembled electrodes. The separator compositions were as follows: borosilicate glass (Whatman GF/A, porosity 91%, thickness 260 mum, m.p. > 300 °C), polyethylene terephthalate/Al2O3 (Viledon FS 3005-25, porosity 55%, thickness 25 mum, m.p. ~250 °C), polypropylene (Celgard 4560, porosity 55%, thickness 110 mum, m.p. ~150 °C), and polytetrafluoroethylene (Omnipore JVWP04700, porosity 88%, thickness 30 mum, m.p. ~300 °C). The HTT test cells contain the four separators mentioned above as sheets with a diameter of 21.6 mm. The cells were assembled in a glovebox under an Ar atmosphere, according to literature.[36] Temperature-stable separator housings and sealing ring materials made of polyether ether ketone (PEEK) were used for the selected temperature range. Gases used for calibration were purchased from Air Liquide or Westfalen AG. The quantities and purities of the gases were: Ar (99.999%); calibration gas 1: Ar (main component, 99.999%), CH4 (5025 ppm, 99.5%), C2H4 (5025 ppm, 99.5%) and CO2 (5025 ppm, 99.5%); calibration gas 2: Ar (main component, 99.999%), H2 (5005ppm, 99.999%), CO (4991 ppm, 99.0%) and O2 (4700 ppm, 99.999%). Chemicals used for calibration were purchased and used and without further purification: dimethyl carbonate (99% dry, Acros Organics), Lithium hexafluorophosphate (99.99%, Sigma Aldrich), and Lithium peroxide (95%, ABCR). The conductive salt decomposition gas POF3 is calibrated. Setup for Temperature-induced Stress Test and Electrochemical characterization: The operando electrochemical and gas analysis setup couples a potentiostat and mass spectrometer. The HTT cell (EL-Cell) connects the lithium-ion battery with quick connectors with a heated transfer line and the mass spectrometer (MS, Omnistar GSD 320, Pfeiffer Vacuum). The parameters of the mass spectrometer are: Parameter Value Multiple Ion Detection (MID) m/z: 2, 16, 18, 26, 27, 28, 30, 32, 36, 44, 67, 69, 77, 78, 85, 88, 90, 104, 107, 118, 126, 155 Energy of the electron beam 70 eV Detector C-SEM Capillary temperature 200 °C Input heating 120 °C Scan rate 500 ms Ar flow rate 0.65 mL min-1 The heating profile of the HTT cell during temperature-induced stress test are: Parameter Value Start temperature 25 °C Heating rate 2 °C min 1 Test temperature 132 °C Hold temperature at test temperature while recording the open-circuit voltage 60 min End temperature 25 °C All assembled cells were cycled with a Gamry potentiostat (5000 E) in a self-built temperature chamber at 25 °C in the voltage range between 3.0 V and 4.2 V. The cycling procedure was identical for all experiments is as follows: Parameter Value Temperature 25 °C Rest time 6 h Formation, 1 cycle C/10 Heating step after formation starts at ~3.7 V (~SOC 50%) OCV for 10 h Cycle after temperature induced stress test C/10 Charge / Discharge CC+CV / CC U(cut-off) 4.2 V / 3.0 V For more information about experimental details, see in the Experimental Section in the manuscript and the Supporting Information.
Separators in lithium-ion batteries are considered to be (electro-)chemically inert to typical operating conditions. Yet, temperature abuse tests at elevated temperatures of ca. 60 to 132 °C show that the choice of separator material has a decisive influence on battery behavior and degradation. Using online electrochemical mass spectrometry, we analyzed the evolution of cell voltage and gas products during and after thermal abuse for different separators. Polypropylene and polytetrafluoroethylene seem stable, whereas glass fiber and polyethylene terephthalate separators were reactive and caused additional gas release. Polyethylene terephthalate produced significantly more gas, and the separator failed mechanically, causing unreproducible and drastic performance losses. The CO2 content of polyethylene terephthalate separator is four times higher than that of glass fiber. Yet, a five times higher amount of POF3 was detected for glass fiber. The evolved gas amounts of CO2 or POF3 were modest for polypropylene and polytetrafluoroethylene.
Online electrochemical mass spectrometry
Impact of Lithium-Ion Battery Separators on Gas Evolution during Temperature Abuse
Column amounts of atmospheric HCOOH recorded by the FTIR stations Kiruna and Izana in the framework of the Network for the Detection of Atmospheric Composition Change (NDACC). The Izana dataset covers 1999 to 2015, the Kiruna dataset covers 1996 to 2015.
Messungen der Gesamtsäulengehalte von HCOOH in der Erdatmosphäre, gewonnen an den FTIR-Stationen Kiruna und Izana des NDACC (Network for the Detection of Atmospheric Composition Change). Der Izana Datensatz umfasst Messungen von 1999 bis 2015, der Kiruna Datensatz umfasst Messungen von 1996 bis 2015.
This dataset reports total atmospheric columns of HCOOH, derived from solar absorption spectra recorded at the FTIR stations Izana and Kiruna, operated in the framework of the NDACC (Network for the Detection of Atmospheric Composition Change). The data and the associated detailed data descriptions are reported as ASCII files.
Column amounts of atmospheric HCOOH recorded by the FTIR stations Kiruna and Izana in the framework of the Network for the Detection of Atmospheric Composition Change (NDACC)
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 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.
Using this Mathematica, we have produced the numerical data of the elastocaloric change for several different cases considered in the paper.
Data for 'Elastic Quantum Criticality in Nematics and Altermagnets via the Elasto-Caloric Effect''
This dataset contains the electrochemiluminescence (ECL) signal measurements obtained during multiplexed detection modification gold electrodes. It includes raw and processed data showing ECL intensity profiles between modified and unmodified electrode regions, supporting the enhanced signal performance and multiplexing capability of the developed platform.
Processed micro-tomographic scan of the ant Strongylognathus destefanii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
- 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)
Institut für Technikfolgenabschätzung und Systemanalyse (ITAS), Karlsruher Institut für Technologie (KIT)
Institut für Kolbenmaschinen (IFKM), Karlsruher Institut für Technologie (KIT)
Der Umgang mit Ressourcen in Unternehmen ist ein Bereich, indem Nachhaltigkeit als Handlungskon-zept wirksam wird. Bei unternehmerischer Nachhaltigkeit geht es vor allem um die Minimierung des langfristigen Ressourcenbedarfs ihrer Produkte und Dienstleistungen. Der gesamte Produktlebenszyklus ist nachhaltigkeitsrelevant. Nachhaltige Produkte sollen rechtlich einwandfrei, wirtschaftlich sinnvoll, wettbewerbsfähig und umweltfreundlich sein. Ein Weg dazu sind umweltschonende Verfahren. Ziel ist, weniger Ressourcen zu verbrauchen als bei der Rückgewinnung wiederverwendet werden können. Das gelingt zum Beispiel durch Recycling, Upcycling oder innovative Ideen im Ökodesign. Hierfür gibt es in Deutschland und der EU rechtlich verbindliche Kennzeichnungssysteme und anerkannte, freiwillige Öko- bzw. Biozertifikate. Beim nachhaltigen Umgang mit Ressourcen soll mit möglichst wenig Material- und Energieeinsatz eine gute Ökobilanz erreicht 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.
Cubic-symmetry acoustic metamaterials with roton-like dispersion relations
# Readme This archive contains the experimental results for the SWJ Paper. Large Files and subdirectories are zipped. Raw data includes tab-separated files (.tsv) and JSON (.json) files. ## Files - `statistical_similarity_measures_per_sample`: Statistical Similarity Measures aggregated on the level of Samples. - `structural_similarity_measures_per_sample`: Structural Similarity Measures aggregated on the level of Samples. - `fedbench_datasets_statistics`: General Statistics of the datasets from FedBench used in the experiments. - `characteristic_sets_all_samples`: All individual characteristic sets obtained from the samples. - `fedbench_results_complete`: All evaluation metrics for all FedBench Queries per CSPF from each sample. Aggregated similarity measures are included as well. - `cspf_statistics`: Directory containing all estimated (and complete) CSPF estimations used by the Query Planner
Supplemental Material to the SWJ Journal Submission "Characteristic Sets Profile Feature: Estimation and Application to SPARQL Query Planning"
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 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 Pheidole 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 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.
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
The archaeal proton pump bacteriorhodopsin uses sunlight to build up a proton gradient across the cell membrane. The mechanism of energy conversion is based on a well investigated photocycle. Despite over 45 years of research on this bioenergetical model system, there is still little information available about the last step of the photocycle: the O→ground (bR) state transition. It is merely assumed that a long-range proton transfer recovers the bR state of bacteriorhodopsin. This work aims to shed further light on the mechanistic details and thermodynamic/kinetic features of the O→bR transition. In order to achieve this, computational methods were used as a viable complement to the experiment since the handling of membrane proteins and the targeted objectives pose a quite involved task to experimental techniques. Initially, structural models for the O, bR and the O* intermediate state were obtained by employing enhanced sampling molecular dynamics simulations. For the simulation of the (long- range) proton transfer reactions, a hybrid QM/MM setup based on the semiempirical quantum chemistry method DFTB3 and the CHARMM36 force field was used. The change of Gibbs free energy associated with the proton transfer was resolved by employing free energy techniques with an advanced reaction coordinate based on the center of excess charge representation. The results indicate that the O→bR conversion represents a slightly exergonic process in which the O* state constitutes a metastable intermediate. Concerning the proton transfer pathway, an interesting finding was made: The long-range proton transfer is accomplished via a proton hole/in- verse Grotthuss mechanism. Moreover, this charge transfer is accompanied by the reorientation of a functionally important, positively charged arginine side chain as well as by the formation of the proton release group. In the course of these studies, DFTB3 was furthermore benchmarked for proton transfer reactions. The method proved to be efficient for the description of these reactions with a small tendency to underestimate reaction barriers. In order to correct for this error, which results from missing short-range Pauli repulsion in DFTB3, the empirical Delta-Pauli correction was developed. However, until now, there were no parameters available for this model. Hence, in this work the first parameter set for CHNO-based molecular systems was derived and benchmarked on relevant organic/biomolecular systems. The results show that Delta-Pauli successfully introduces short-range Pauli repulsion to DFTB3. As a consequence, Delta-Pauli improves the description of molecular systems regarding non-covalent interactions, inter- as well as intramolecular reaction barriers and equilibrium geometries.
Die archaeale Protonenpumpe Bacteriorhodopsin nutzt Sonnenlicht um einen Protonengradienten über der Zellmembran aufzubauen. Der Mechanismus der Energieumwandlung basiert auf einem gut erforschten Photozyklus. Obwohl schon über 45 Jahre an diesem bioenergetischen Modellsystem geforscht wurde, sind noch immer wenig Informationen über den letzten Schritt dieses Photozykluses vorhanden: den Übergang vom O zum Grundzustand (bR). Es wird jedoch angenommen, dass ein langreichweitiger Protonentransfer den bR Zustand wiederherstellt. Diese Arbeit zielt darauf ab, weiteren Aufschluss über die mechanistischen Details und thermodynamischen/kinetischen Eigenschaften des O→bR Übergangs zu geben. Um dies zu bewerkstelligen, wurden computergestütze Rechenmethoden als brauchbare Ergänzung zum Experiment verwendet, da die Handhabung von Membranproteinen und die gesetzten Ziele für experimentelle Methoden eine schwierige Aufgabe darstellen. Zunächst wurden Strukturmodelle mit Hilfe von enhanced sampling Methoden für den O, bR und den O* Intermediatszustand erstellt. Für die Simulation der (langreichweitigen) Protonentransfer- reaktionen wurde ein hybrides QM/MM Set-up basierend auf der semiempirischen Quantenchemie- Methode DFTB3 und dem CHARMM36 Kraftfeld verwendet. Die mit dem Protonentransfer assoziierte Änderung der Gibbs’schen Freien Energie wurde mit Hilfe von Freie-Energie-Techniken in Kombination mit einer fortgeschrittenen Reaktionskoordinate, die auf der center of excess charge- Darstellung basiert, aufgeklärt. Die Ergebnisse weisen darauf hin, dass es sich bei der O→bR Konversion um einen leicht exergonen Prozess handelt, in dem der O* Zustand ein metastabiler Zwischenzustand bildet. Bezüglich des Protonentransfer-Pfads wurde eine interessante Feststellung gemacht: Der langreichweitige Protonentransfer wird über einen Protonen-Loch-/inversen Grotthuss-Mechanismus vollzogen. Zudem wird dieser Ladungstransfer begleitet von der Umorientierung einer funktionell wichtigen, positiv geladenen Arginin Seitenkette sowie der Ausbildung der proton release group. Im Zuge dieser Studien, wurde des Weiteren die Genauigkeit von DFTB3 für Protonentransferreaktionen evaluiert. Die Methode bewies sich als leistungsstark für die Beschreibung dieser Reaktionen mit einer geringfügigen Tendenz für die Unterschätzung von Reaktionsbarrieren. Um diesen Fehler zu korrigieren, der aus der Unterschätzung der kurzreichweitigen Pauli Repulsion in DFTB3 resultiert, wurde die empirische Delta-Pauli Korrektur entwickelt. Allerdings gab es bisher keine Parameter für dieses Model. Daher wurde in dieser Arbeit der erste Parametersatz für CHNO-basierte Molekülsysteme entworfen und an relevanten organischen/biochemischen Systemen evaluiert. Die Ergebnisse zeigen, dass Delta-Pauli erfolgreich kurzreichweitige Pauli Repulsion in DFTB3 einführt. Dies hat zur Folge, dass Delta-Pauli die Beschreibung von Molekülsystemen bezüglich nichtkovalenter Wechselwirkungen, inter- und intramolekularen Reaktionsbarrieren und Gleichgewichtsgeometrien verbessert.
long-range corrected density functional tight binding
Simulation of Long-Range Proton Transfer - Development and Application
# 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
The data set collection is a zip file that contains 17 sqlite database files that can be inspected with any sqlite capable database reader (such as https://sqlitebrowser.org/). The folder names in the unzipped file indicate the names of the data sets (from d20 to d5050). Each database consists of a single table called "statistics" that gives access to the scenario parameters and evaluation results. Each row in the table represents a single execution of the evaluation environment (i.e., one experiment). The columns starting with scenario are the parameters used for scenario / experiment generation. All other columns except for id and resultid (those two columns are not essential to the data set and can be ignored) refer to statistics gathered for one experiment. Columns starting with json contain a serialized json object and need to be de-serialized, e.g., by something like arr = json.loads(string) if python is used where string is the content from the column and arr is an array of floating point numbers. These columns contain time series data, i.e., the statistics were gathered for multiple time slots. Example code for processing the data sets can be found at https://github.com/kit-tm/fdeval (plotters folder). The GitHub page also contains additional details about the data sets in this collection.
This data set collection consists of 17 data sets used for the analytical / simulative evaluation of the flow delegation concept presented in "Flow Delegation: Flow Table Capacity Bottleneck Mitigation for Software-defined Networks". Example code for processing the data sets can be found at https://github.com/kit-tm/fdeval.
flow table capacity bottleneck mitigation
Channel Geometry Scaling Effect in Printed Inorganic Electrolyte-Gated Transistors
Processed micro-tomographic scan of the ant Temnothorax crassispinus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with 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.
This folder contains videos of full plastics cups (Cup_PP_98) being transported with a given flow condition (V3) in physical laboratory experiments.
Surfaced and suspended plastic: Cup_PP_98_def_V3 (videos)
Processed micro-tomographic scan of the ant Tranopelta gilva, scanned at KIT Light Source. This dataset is part of 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 #0022, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0022 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
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
Institut für Meteorologie und Klimaforschung – Atmosphärische Umweltforschung (IMK-IFU), Karlsruher Institut für Technologie (KIT)
To study the coupling between atmospheric and subsurface energy fluxes in Berlin, we provide the input and output data used in our study. The analysis was done with the turbulence and building resolving large eddy simulation urban climate model PALM-4U 23.10.
Anthropogenic encroachments in urban environments lead to altered energy fluxes and elevated temperatures. While there is much attention on surface and canopy heat islands, the heat exchange between subsurface and atmosphere as a bottom-up scheme is largely overlooked the role of subsurface heat accumulation and its upward heat transfer through the surface–atmosphere interface as a component of bottom-up energy dynamics remains largely overlooked. So far, subsurface temperature anomalies are not adequately considered in urban climate studies. Hence, in this study the impacts of elevated subsurface temperatures on atmospheric energy fluxes in Berlin are investigated. The analysis is performed with the large eddy simulation urban climate model PALM-4U. We developed different set-ups with cyclic lateral boundary conditions (LBC) and external dynamic forcing from the mesoscale model WRF. For each setup, we subtract a heat scenario in which the soil temperature in the deepest layer (2.91 m below ground) is increased by 5 K from a reference scenario. Under cyclic LBC we detect marginal air potential temperature differences averaged over the domain but significant differences in variance and distribution. Those differences have a high diurnal variation and are height dependent. In contrast, using WRF as forcing, there are pronounced differences in surface sensible heat flux (maximum positive and maximum negative: 13.1~W/m² at 21:00 local time, -7.0~W/m² at 14:00), ground heat flux (4.1~W/m² at 20:00, -3.6~W/m² at 14:00), and 2~m air potential temperature (0.64~K at 17:00, -0.87~K at 14:00). Hence, additional subsurface heat does not lead to uniform warming, but rather to an energy redistribution, ultimately resulting in an overall increase in total energy. With increasing height, differences due to altered soil temperatures become negligible.
Modeling Impacts of Subsurface Thermal Anomalies on Atmospheric Energy Fluxes in Berlin, Germany Using PALM-4U
Processed micro-tomographic scan of the ant Stigmatomma rothneyi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with 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 depilis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with 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 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.
Processed micro-tomographic scan of the ant OUTGROUP_Eupelmidae 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.
# 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)
The research data covers the production of feedstocks for glass powder injection molding.
The research data forms the basis for the publication linked in KITOpen.
Die Forschungsdaten umfassen die Herstellung vom Formmassen für den Glaspulverspritzguss.
Development of new binder systems for glass injection molding (GIM)
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.
This folder contains videos of full plastics cups (Cup_PP_98) being transported with a given flow condition (V5) in physical laboratory experiments.
Surfaced and suspended plastic: Cup_PP_98_def_V5 (videos)
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.
The research data is structured with respect to the Figure numbers in the manuscript. Figure_2: Synthesis of PANI and PANI@ZF composite electrodes Figure_3: XRD-analysis of all synthesized composite electrodes and reference sprectra Figure 4: FT-IR data of all synthesized composite electrodes Figure 5: SEM images of PANI and PANI@ZF composite electrodes Figure 6: Electrochemical analysis: a) CV of PANI, PANI@ZF1, PANI@ZF2 and PANI@ZF3; b) PANI@ZF3 at different scan rates; c) tafel plots of PANI@ZF3; d) specific capcitances calculated by CV spectra of PANI, PANI@ZF1, PANI@ZF2 and PANI@ZF3; e) Galvanostatic charge/discharge experiments of PANI, PANI@ZF1, PANI@ZF2 and PANI@ZF3; f) galvanostatic charge/discharge experiments at different current densities for PANI@ZF3; g) specific capacitances for PANI, PANI@ZF1, PANI@ZF2 and PANI@ZF3 at different current densities FIgure 7: a) Ragone diagram of PANI@ZF3 as symmetrical supercapacitor; b) coulombic efficiency of PANI@ZF3 at different current densities during galvanostatic charge/discharge Figure 8: a) Charge/Discharge cycles of PANI@ZF3 at different cycling numbers; b) specific capacitance of PANI@ZF3 over varying cyclinc numbers Figure 9: Impedance spectra at different SOC: a) SOC = 0; b) SOC = 50; c) SOC = 100; d) comparison of all spectra Figure 10: Impedance spectra at different cycle numbers: 2000, 4000, 8000, and 10000 cycles Figure to table A2: EDX spectra of PANI, PANI@ZF1, PANI@ZF2 and PANI@ZF3
Conducting polymer-metal oxide hybrids are promising electrode materials for supercapacitors, yet achieving a balance between high capacitance and long-term stability remains challenging. In this work, polyaniline (PANI) - zinc ferrite (ZnFe₂O₄) composites were synthesized by in situ electrochemical polymerization of aniline with controlled deposition duration for ZnFe2O4-nanoparticle incorporation. Structural and spectroscopic characterization confirmed uniform dispersion of ZnFe2O4 within the polymer matrix and the formation of fibrous nanostructures. Electrochemical analysis revealed a progressive enhancement of redox activity and charge storage with increasing ZnFe2O4 content. The optimized composite exhibited a specific capacitance of up to 1402 F g⁻¹ at 1 A g⁻¹, together with an energy density of 141.9 Wh kg⁻¹ and a power density of 404.9 W kg⁻¹. When assembled into a symmetric supercapacitor, the PANI-zinc ferrite composite retained 97.6% of its initial capacitance after 10,000 charge–discharge cycles. Electrochemical impedance spectroscopy further indicated that structural degradation under accelerated aging is primarily associated with particle and polymer chain cracking/breaking, leading to increased mass transport resistance, thereby reducing the energy storage capability.
Investigation of Energy Storage Performance and Cycling Stability of Electrochemically Synthesized PANI–ZnFe2O4 Electrodes
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.
"Allgemeines sportmotorisches Eigenschaftsprofil von Freiklettern." In: Leibesübungen, Leibeserziehung, 37 (1983) 5, S. 99-106
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.
Digitaler Anhang, der weiterführende Literaturanalysen und Ausführungen zur Dissertation enthält.
Digitaler Anhang Dissertation Sina Peukert zum Thema "Robustheitssteigerung in Produktionsnetzwerken mithilfe eines integrierten Störungsmanagements"
In silico electrocardiograms of 1.8 million ventricular extrasystoles and corresponding activation maps (part 3)
Database: Ridge-type roughness - from turbulent channel flow to internal combustion engine
Microstructural study of MgB$_{2}$ in the LiBH$_{4}$-MgH$_{2}$ composite by TEM
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.
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.
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
Processed micro-tomographic scan of the ant Pheidole xerophila, scanned at KIT Light Source. This dataset is part of 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 work package WP3.1 of the PRESLHY project the blow-down behavior of cryogenic hydrogen stored at elevated pressure is investigated by the project partners Karlsruhe Institute of Technology (KIT) and Pro-Science (PS). The main purpose of WP3.1 was to provide validation or reference data for • models defining or using a discharge coefficient, • subsequent explosion tests, where the released gases will be ignited (see E5.2), and • electrostatic field excitation and associated ignition potential of high-pressure hydrogen gas jets at cryogenic temperatures.
In part B of WP3.1 of the PRESLHY project 12 hydrogen blow-down experiments were performed with the Cryostat-facility on a free field-test site located a few kilometers to the north of KIT Campus North. About half of the experiments were made with liquid hydrogen at cryogenic temperatures (approx. 20 K). In the experimental campaign, the same release branch as in the related DisCha-experiments of Task 3.1A was used to facilitate comparison with the experiments of this series. For the same reason, five of the blow-down tests were made under ambient temperature conditions, since in part A also half of the matrix was performed under these conditions. The tests showed very good reproducibility. Besides the discharge characteristics and the transient jet behavior also the electrostatic fields have been recorded to understand potential mechanisms for spontaneous ignition.
Processed micro-tomographic scan of the ant Pogonomyrmex rugosus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with 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 hespera, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with 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 Heteroponera flava, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with 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 germinata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Python code for simulation of Cyclic Voltammograms for 6-step process (EEC-EEC, where E is Electrochemical and C - Chemical steps). Code is non universal but can be easily modified for other mechanisms.
Current version available at https://github.com/QchemElectroChem/CyclicVoltammetry
Lichttechnisches Institut (LTI), Karlsruher Institut für Technologie (KIT)
Institut für Mikrostrukturtechnik (IMT), Karlsruher Institut für Technologie (KIT), Lichttechnisches Institut (LTI), Karlsruher Institut für Technologie (KIT)
Original photos, SEM images, AFM data, and optical spectra of five species of the genus Bitis. For details please see manuscript Reza et al. (2024): "Nanopores in ventral scales cause white venters for the thermoregulation of snakes".
Nanopores in ventral scales cause white venters for the thermoregulations of snakes
Institut für Telematik (TM), Karlsruher Institut für Technologie (KIT)
This archive contains a load test environment for the TrainTicket benchmarking application, including analysis scripts. The use of the archive is further described in a README.md file.
Environment for Externalized and Decentralized Authorization of Microservices
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.
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.
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.
This dataset contains FAIR records which describe the tribological experiment Copper under Variable Normal Load #0043, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Variable Normal Load n0043 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
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”
Processed micro-tomographic scan of the ant Odontomachus cf monticola, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
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
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.
The dataset contains Doppler lidar measurements for 10 days, each corresponding to an extratropical cyclone sampled during the WASTEX field campaign (see Pantillon et al. 2018). Three data are saved in three files per day, e.g. for 23/2/2017: - Save_KIT_DOPPLERLIDAR_RV_20170223.nc (RV = Radial Velocity → wind measurements) - Save_KIT_DOPPLERLIDAR_SNR_20170223.nc (SNR = Signal to Noise Ratio → data quality) - Save_KIT_DOPPLERLIDAR_BS_20170223.nc (BS = BackScatter → signal strength) Files are in netCDF format with the following structure, e.g. for RV: netcdf Save_KIT_DOPPLERLIDAR_RV_20170223 { dimensions: time = 444035 ; ranges = 110 ; variables: double time(time) ; time:standard_name = "time" ; time:units = "seconds since 1970-01-01 00:00:00 UTC" ; double ranges(time, ranges) ; ranges:unit = "m" ; ranges:long_name = "distance of range gate from lidar along the beam. value denotes the middle of the range gate." ; double elevation(time) ; elevation:long_name = "elevation angle of the laser beam: zenith=90, horizontal=0 and 180" ; elevation:unit = "degree" ; double azimuth(time) ; azimuth:standard_name = "sensor_azimuth_angle" ; azimuth:long_name = "azimuth angle of the laser beam: north=0, east=90, south=180, west=270" ; azimuth:unit = "degree" ; double radial_velocity(time, ranges) ; radial_velocity:standard_name = "radial_velocity_of_scatterers_away_from_instrument" ; radial_velocity:unit = "m s^-1" ; radial_velocity:_FillValue = -999. ; // global attributes: :Institution = "Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research" ; :Title = "Scanning doppler lidar WindTracer" ; } Wind measurements are stored in variable "radial_velocity" as function of coordinates "time" and distance from lidar "ranges". At the beginning of every hour, the mean wind direction is determined (about 1500 records) with varying azimuth (“horizontal angle”) from 0° to 360° and fixed elevation (“vertical angle”) at 15° and 75°. Then the radial wind speed is measured for one hour (about 15000 records) with constant azimuth in the mean wind direction determined above and varying elevation from 0° to 15°, up and downward every 0.6°. One up- or downscan contains about 25 records contained in one up or downscan, which can be combined into one snapshot (see example in Pantillon et al. 2018). Such a “snapshot” actually contains asynchronous records (a few seconds altogether) thus it is recommended to use upscans or downscans only. Each record can be additionally filtered according to its quality, e.g. with signal-to-noise ratio SNR > -6 dB.
Doppler lidar measurements from the Wind and Storms Experiment (WASTEX)
Die wissenschaftliche Nachhaltigkeitsbewertung ist ein Bereich, in dem Nachhaltigkeit als Handlungskonzept wirksam wird. Umwelt- und Nachhaltigkeitsbewertung sind von zentraler Bedeutung für die Vergleichbarkeit, Verlässlichkeit und Nachvollziehbarkeit von Entscheidungen. Eine wichtige Methode ist die Ökobilanz bzw. Lebenszyklusanalyse – auf Englisch Life-Cycle Assessment, die kurz LCA genannt wird. Sie muss die Kriterien Objektivität, Reliabilität und Validität erfüllen und ist oft vergleichend angelegt. Denn zu wissen, welche Umweltwirkungen ein E-Auto hat ohne sie mit einer Alternative vergleichen zu können, ist noch keine Evidenz basierte Entscheidungshilfe: die begründete Differenzierbarkeit fehlt.
Nachhaltigkeit Nachhaltigkeitsbewertung Ökobilanz
files consists of data from following sensors, obtained during experiments: • rugged field meter IDB systems I • static field meter IDB systems • electrometer • resistance meter station • pipework thermocouples T • pressure sensor • mass flow sensor • near‐field weather station • far‐field wind sensor • far‐field humidity sensor
Work package four of the PRESLHY project focuses on ignition phenomena. This report summarises the experimental series E4.3, which focuses on the propensity for an electrostatic charge capable of igniting a hydrogen cloud to be generated during a release, or accidental spill scenario. Seven experiments measuring the electric field of a multiphase hydrogen jet were conducted at the HSE Science and Research Centre. Current measurements on an electrically isolated section of steel pipework were also taken during a total of 30 large scale releases. The results from the plume measurements indicate that the multiphase hydrogen jet itself does not create a significant charge, but certain interactions with the air can cause intermittent spikes in field strength. In particular, air in the pipework being ejected and solidified air forming around the release point, breaking off and flowing downstream appear to be the cause of the electrical fields measured in these experiments. This effect could be larger with different initial conditions either at the nozzle or in the tanker. The wall current measurements were more consistent, as the ability for LH 2 to induce a current on a section of electrically insulated pipework was clearly demonstrated. This charge is a complicated function of the phase of LH 2 in the pipework, the turbulence of the flow, and the resistance to ground of the section of the pipework. Frost formation on the outside of the pipework dynamically changed the resistance to ground throughout each trial, making interrogation of the results difficult. The experiments show that electrostatic charges do pose a credible hazard when considering LH 2 facilities. The charging, however, does not form inside the hydrogen, but on the substances or objects that the hydrogen interacts with. For a fixed facility, maintaining continuity to earth, paying attention to objects in the potential path of a release, would limit the likelihood of electrostatic charging and therefore limit the hazard.
Electrostatic Ignition (Summary of experiment series E4.3 results)
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
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 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.
In silico electrocardiograms of 1.8 million ventricular extrasystoles and corresponding activation maps (part 4)
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 Ectatomma 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 Gnamptogenys 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 Talaridris 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 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 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 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 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 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.
Automating the selection process of operating resources in production engineering, e.g., measurement systems, using data-driven and rule-based approaches, to improve product qualities remains challenging since it involves human experience and decentralized knowledge of different domains. A decision support system for selecting measurement systems that can be operated in various domains and industries is missing as existing approaches lack applicability in varying domains, and a centralized knowledge base is missing. This work develops an ontology for measurement systems and tasks to ensure interoperability across domains and applications. Based on this ontology, a knowledge-based decision support system implementing case-based reasoning for selecting measurement systems for a given task is developed. The decision support system recommends suitable measurement systems based on similar measurement tasks performed in the past. Analogical reasoning is implemented using knowledge graph embeddings. A centralized knowledge base, consisting of measurement systems and tasks, is instantiated using the example of battery cell manufacturing. The decision support system is then validated by drawing analogical conclusions from the example of battery and fuel cell manufacturing.
Please see provided "README" for further information.
Ontology for the selection of measurement equipment in immature production processes using case-based reasoning
# In-Process Porosity Detection Dataset by Means of Optical Measurement Technology in PBF-LB/M Please see provided Jupyter Notebook "README" for further information.
In Process Porosity Detection Dataset by Means of Optical Measurement Technology in PBF-LB/M by wbk Institute of Production Science
ANDeS: An automated nanoliter droplet selection and collection device [Gesperrt]
# 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 - pauli.bmp # Pauli-RGB image of the master scene - S - ... - FP2 # Flight path 2 - ... - label - FP1 - label_train.bin - ... - FP2 - ... 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
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. This conclusion and the demand for large and representative expert-annotated benchmark datasets for the SAR community is also reached by Zhu et al. (2021) in their analysis of the current state of deep learning-based SAR image analysis. To fill this gap, this work presents a new multi-frequency Pol-InSAR benchmark dataset for training and testing learning-based methods. This dataset is intended to improve the development of new approaches or the adaptation and improvement of existing ones. Furthermore, a defined division of the data into training and testing sections will ensure the comparability of approaches of different works. For the segmentation of PolSAR images, there already exist a few annotated datasets that are frequently referenced in the respective literature. These include the PolSF dataset, which contains PolSAR images from various spaceborne and airborne systems over San Francisco, the E-SAR dataset from Oberpfaffenhofen, and the Flevoland dataset, which contains an AIRSAR image depicting agricultural areas. The described datasets have several limitations that make them inadequate for evaluating learning-based image segmentation approaches. One weakness is the small amount of data, which is usually insufficient for training deep networks. Another problem is the lack of complexity of the segmentation task due to generic classes that are too easily distinguishable or spatial distributions of classes that are too simplistic, regular, and resembling each other. As a result, very high classification performances can already be achieved by simple classifiers, so that a comparison of more sophisticated classifiers, which are necessary for more challenging real-world tasks, is not possible. Another disadvantage of existing datasets is that the division into training and test areas is not fixed, which prevents the comparability of research that uses these datasets for evaluation. Our annotated, multi-frequency Pol-InSAR dataset named $\textbf{Pol-InSAR-Island}$ provides information-rich data as well as a challenging segmentation task consisting of 12 land cover classes. The Pol-InSAR data of the dataset were acquired in April 2022, on behalf of the Lower Saxony Water Management, Coastal Defence and Nature Conservation Agency (NLWKN), with the airborne F-SAR system (Reigber, 2020) of the German Aerospace Center (DLR) during a measurement campaign over the German Wadden Sea. The basics necessary for this measurement campaign in terms of data acquisition and processing were developed within the GeoWAM project (Pinheiro, 2020; Schmitz, 2022). The data acquisition was performed simultaneously in S- and L-band. Interferometric analysis is enabled by imaging the area two times with a time offset of 12 minutes and a vertical baseline of 12m. The Pol-InSAR-Island dataset does not include all flight data of the measurement campaign, but only data sections that cover the island Baltrum. Based on co-registered interferometric image pairs the coherency matrix $\mathbf{T}_6$ is calculated for each pixel, which is obtained from the scalar products of the Pauli scattering vectors $\mathrm{k}_1$ and $\mathrm{k}_2$: $\mathbf{T}_6 = \begin{bmatrix} \mathrm{k}_1 \\ \mathrm{k}_2 \end{bmatrix} \begin{bmatrix} \mathrm{k}_1^{*T} & \mathrm{k}_2^{*T} \end{bmatrix} = \begin{bmatrix} \mathbf{T}_{11} & \mathbf{\Omega}_{12}\\ \mathbf{\Omega}_{21} & \mathbf{T}_{22} \end{bmatrix}.$ Subsequently, this representation is projected from the slant-range to the ground-range geometry. The ground resolution of the geocoded products has a resolution of 1m x 1m. The island of Baltrum is home to many different biotopes and vegetation species and is surrounded by the North Sea and tidal flats. The diverse land cover results in the target classes of the demanding Pol-InSAR-Island dataset. For a precise annotation of the data, an existing biotope type map, published by the the Lower Saxon Wadden Sea National Park Authority via Marine.Daten.Infrastruktur.Niedersachsen (MDI-NI), is used, which is a result of the Trilateral Monitoring and Assessment Program processing from 2013. In this map the island Baltrum is classified into 40 different biotope types. Since the biotope map was generated several years prior to the SAR measurement campaign, significant changes in the extent of the different biotope types are to be expected, making the map not sufficient for accurate annotation. Therefore, the map is revised within a semi-automatic process. Automatically, transition areas between different biotope types are removed and strongly similar biotope types are grouped into one class each. The decision about the grouping of biotope types is based on the semantic context and an analysis of the class separability based on polarimetric features. The analysis of class separability is performed visually based on a projection of the polarimetric features into a two-dimensional feature space using the UMAP algorithm. Manual improvements to the resulting annotation are made by visually interpreting the SAR images and simultaneously acquired optical images. The Pol-InSAR-Island dataset is split into two spatially disjoint subsets, using a chessboard grid that alternately defines training and test patches. Such a split pattern was chosen to ensure that all 12 classes are represented in both subsets and additionally mapped at different incidence angles. Overall, this results in a labeled multi-frequency Pol-InSAR dataset that provides a challenging segmentation task. The public availability of the dataset can make a crucial contribution to the further development and comparability of learning-based segmentation methods for Pol-InSAR images in the future. References Pinheiro, M., Amao-Oliva, J., Scheiber, R., Jäger, M., Horn, R., Keller, M., Fischer, J. & Reigber, A. (2020). Dual-Frequency Airborne SAR for Large Scale Mapping of Tidal Flats. Remote Sensing, 12(11), 1827. Reigber, A., Jäger, M., Fischer, J., Horn, R., Scheiber, R., Prats, P., & Nottensteiner, A. (2011). System Status and Calibration of the F-SAR Airborne SAR Instrument. 2011 IEEE International Geoscience and Remote Sensing Symposium, 1520-1523. Schmitz, S., Hammer, H., & Thiele, A. (2022). Multi-Frequency PolInSAR Data Are Advantageous for Land Cover Classification – A Visual and Quantitative Analysis. ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information Sciences, V-1-2022, 49–56. Zhu, X. X., Montazeri, S., Ali, M., Hua, Y., Wang, Y., Mou, L., Shi, Y., Xu, F. & Bamler, R. (2021). Deep Learning Meets SAR: Concepts, Models, Pitfalls, and Perspectives. IEEE Geoscience and Remote Sensing Magazine, 9(4), 143-172.
Pol-InSAR-Island - A Benchmark Dataset for Multi-frequency Pol-InSAR Data Land Cover Classification
Inv3D: a high-resolution 3D invoice dataset for template-guided single-image document unwarping - Validation split
Helmholtz-Zentrum Potsdam - Deutsches GeoForschungsZentrum
This is the data generated in the paper: "Seismological evidence for a multifault network at the subduction interface". Paper abstract: Subduction zones generate the largest earthquakes on Earth, yet their detailed structure, and its influence on seismic and aseismic slip, remains poorly understood. Geological studies of fossil subduction zones characterize the seismogenic interface as a 100m-1km thick zone1–3 within which deformation occurs mostly on meters-thick faults1,3–6. Conversely, seismological studies, with their larger spatial coverage and temporal resolution but lower spatial resolution, often image the seismogenic interface as a kilometers-wide band of seismicity7. Thus, how and when these meter-scale structures are active at the seismic-cycle timescale, and what influence they have on deformation is not known. Here, we detect these meters-thick faults with seismicity and show their influence on afterslip propagation. Using a local 3D velocity model and dense observations of over 1500 double-difference relocated earthquakes in Ecuador, we obtain an exceptionally detailed image of seismicity, showing that earthquakes occur sometimes on a single plane and sometimes on multiple meters-thick simultaneously active subparallel planes within the plate interface zone. This geometrical complexity impacts afterslip propagation, demonstrating the influence of fault continuity and structure on slip at the seismogenic interface. Our findings can therefore help create more realistic models of earthquake rupture, aseismic slip, and earthquake hazard in subduction zones.
When using this data, please cite the paper "Seismological evidence for a multifault network at the subduction interface" (10.1038/s41586-024-07245-y) Contents of this directory: 1. Catalogue_NonLinLoc.csv: Catalogue of earthquakes located with NonLinLoc in a 1D model. 2. Catalogue_full_picks.txt: Arrival times picked with machine-learning. For each earthquake, the header (lines starting with #) lists the origin time, longitude, latitude, depth, number of phases, and average horizontal uncertainty from NonLinLoc. For each pick, the station, traveltime, time residual from NonLinLoc and phase are listed. 3. Catalogue_differential_arrivaltimes.txt: Cross-correlation differential times for all earthquake pairs with an interevent distance below 10 km. For each pair, the header (lines starting with #) lists the ID number of both events. For each pick, the station, differential time, correlation and phase are listed. To limit the file size, we only include cross-correlations above 0.6. 4. Catalogue_tomoDD.csv: Catalogue of all earthquakes relocated with double-difference in tomoDD in a 3D model. The total relative location error, calculated using bootstrapping, refers to the location error of the event relative to the rest of its cluster in TomoDD. Since all events were relocated in a single cluster in TomoDD, this essentially corresponds to the average location error relative to all other events. For details on the calculation of errors, please refer to the online methods of Chalumeau et al. (2024). 5. Errors_TomoDD.csv: Relative location errors for each event pair in TomoDD. 6. Catalogue_families.csv: Families of similar earthquakes with cross-correlations above 0.75. For details on the creation of families, please refer to the online methods of Chalumeau et al. (2024). 7. Stations.csv: List of station locations. If you have any questions, please email Caroline Chalumeau [caroline.chalumeau@kit.edu / carochalu06@gmail.com] or Andreas Rietbrock [andreas.rietbrock@kit.edu]
Seismological evidence for a multifault network at the subduction interface
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 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 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 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.
Documents: -Design of Experiments: Information on the paths such as the technological values of the experiments -Recording information: Information about the recordings with comments -Data: All recorded datasets. The first level contains the folders for training and validation both with and without the workpiece. In the next level, the individual test executions are located. The individual recordings are stored in the form of a JSON file. This consists of a header with all relevant information such as the signal sources. This is followed by the entries of the recorded time series. -NC-Code: NC programs executed on the machine Experimental data: -Machine: Retrofitted DMC 60H -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 aim of the dataset is to train and validate models for predicting time series for milling processes. For this purpose, processes were recorded at a sampling rate of 500 Hz by a Siemens Industrial Edge on a DMC 60H. The machine was upgraded in terms of control technology. Processes for model training and validation were recorded, suitable for both steel and aluminum machining. Several recordings were made with and without the workpiece (aircut) in order to cover as many cases as possible. This is the same series of experiments as in "Training and validation dataset of milling processes for time series prediction" with DOI 10.5445/IR/1000157789 and allows an investigation of the transferability of models between different machines.
Das Ziel des Datensatzes ist das Training und die Validierung von Modellen zur Vorhersage von Zeitreihen für Fräsprozesse. Dazu wurden an einer DMC 60H Prozesse mit einer Abtastrate von 500 Hz durch eine Siemens Industrial Edge aufgenommen. Die Maschine wurde steuerungstechnisch aufgerüstet. Es wurden Prozesse für das Modelltraining und die Validierung aufgenommen, welche sowohl für die Bearbeitung von Stahl sowie von Aluminium verwendet wurden. Es wurden mehrere Aufnahmen mit und ohne Werkstück (Aircut) erstellt, um möglichst viele Fälle abdecken zu können. Es handelt sich um die gleiche Versuchsreihe wie in "Training and validation dataset of milling processes for time series prediction" mit der DOI 10.5445/IR/1000157789 und hat zum Ziel, eine Untersuchung der Übertragbarkeit von Modellen zwischen verschiedenen Maschinen zu ermöglichen.
Training and validation dataset 2 of milling processes for time series prediction
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 Basiceros 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.
# 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
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.
Institut für Programmstrukturen und Datenorganisation
Institut für Industriebetriebslehre und Industrielle Produktion
Institut für Automation und angewandte Informatik
This dataset was published as part of a paper submitted at the "International Workshop on Energy Data and Analytics" at ACM e-Energy 2022 with the title "High Resolution Real-World Electricity Data from Three Microgrids in the Global South" in which the data set is described. Further explanations can be found in the file "Symbols_Units_Explanations".
Microgrids are a promising solution for providing electricity access to rural populations in the Global South. To ensure such microgrids are affordable and effective, careful planning and dimensioning is required. Numerous tools exist to assist with this planning and dimensioning, however, they generally require microgrid electricity data, such as load profiles, as an input. Unfortunately, such electricity data is scarce for microgrids in the Global South and the little data that is available has a low temporal resolution. Therefore, we introduce high resolution real-world electricity data from three microgrids in the global south. The data is collected from microgrids in the Democratic Republic of Congo, Rwanda, and Haiti, and has a temporal resolution of up to five seconds. Furthermore, we include data from both residential and industrial microgrids, and consider microgrids with renewable generation from hydropower and photovoltaic arrays. We describe and analyse the characteristics of the recorded data and show how it can be used to derive flexible load profiles with varying temporal resolutions, useful for affordable microgrid planning and dimensioning.
High-Resolution Real-World Electricity Data from Three Microgrids in the Global South
Tribological Specimens for Tribological Experiments v2 - Sapphire on Copper - FAIR Dataset
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.
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 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.
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
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.
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
Simulated concentration data for birch pollen, birch SPP and hydrometeors and atmospheric variable (Part 18)
Data from SBO21 campaign taking place from 2021-07-28 - 2021-12-27 at Sonnblick Observatory. This dataset represents the processed data (Level 1) as created by the PIA software v2.1.0 (https://doi.org/10.5281/zenodo.15592850).
Source Data of all Figures of the publication "Understanding the Effect of Vinylene Carbonate on SEI Formation, Morphology and Stability on Lithium Metal Anodes" published in Energy Storage Materials.
Understanding the Effect of Vinylene Carbonate on SEI Formation, Morphology and Stability on Lithium Metal Anodes (Research Data)
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.
This data accompanies the paper "Engineering Top-Down Weight-Balanced Trees" at ALENEX 2020. The data set contains all experimental results as well as our real-world input data. See the file Readme.txt for details on the contained data as well as the file format.
Dataset accompanying "Engineering Top-Down Weight-Balanced Trees"
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 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.
Okinawa Institute of Science and Technology Graduate University
Synchrotron X-ray microtomographic data of the female and male heads of four species of histerid beetles (Margarinotus brunneus, Margarinotus striola succicola, Saprinus semistriatus, and Saprinus planiusculus) analyzed in Bajerlein et al. 2025. The original tomograms were aligned, cropped and converted to 8 bit.
Institute of Atmospheric Sciences and Climate (ISAC), National Research Council (CNR), Bologna, Italy
Data from CORONA campaign taking place from 2020-11-16 - 2021-02-25 at KIT Campus North. This dataset represents the raw data and the processed data as created by the PIA software v3.0.0 (https://doi.org/10.5281/zenodo.15592883).
Leibniz Universität Hannover (Uni Hannover)
All data is given as txt files named after the figure it is used in as well as aditional information needed to clarify the corresponding measurement condition.
Research Data of the Publication *Inductive loops in impedance spectra of PEM water electrolyzers*
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.
Institut für Angewandte Physik (APH), Karlsruher Institut für Technologie (KIT)
Design Data: Height Profiles of the printed optical elements (open as png or with Matlab), open Jobs with GrayScribeX or NanoPrintX, Scripts written in Matlab Dissertation: LaTeX files for the written dissertation Measurement data: SEM images as *.tif files, Surface topographies as *.sur files from the Marsurf confocal-optical microscope, also converted to *.mat files for compatibility with Matlab. ToolS: Code written in Matlab for the derivations of the topographies or the analysis LabBook as OneNote file
Micro-Optical Elements used for Single-Molecule Raman Spectroscopy and as Scintillators
This dataset of scans was used in a publication that deals with the computational determination of fiber volume contents from µCT scans. Specimens from two carbon fiber reinforced polyamide 6 plaques are used that were produced in the long fiber reinforced thermoplastic direct (LFT-D) process. From the first plaque, three specimens each from both the charge and flow area of the plaque are included with dimensions of 10 mm $\times$ 10 mm $\times$ 3 mm, 20 mm $\times$ 20 mm $\times$ 3 mm and 30 mm $\times$ 30 mm $\times$ 3 mm, respectively. From the second plaque nine specimens were extracted in a regular 3 $\times$ 3 grid all with the dimensions 25 mm $\times$ 25 mm $\times$ 3 mm. Exact cutting plans can be taken from the publication. The specimens are cut out of the plaques through waterjet cutting. The material constituents, with which the final CF-PA6-LFT-D plaques were manufactured, are Zoltek PX35 commercial carbon fibers and a PA6 by the company DOMO. The scans of the first plaque were done with a Zeiss Metrotom 800 (cone-beam) μCT system at wbk Institute of Production Science at KIT with the flat panel detector PaxScan2520V with 1536 pixel $\times$ 1920 pixel. The samples of the second plaque were scanned in an YXLON-CT (Yxlon International CT GmbH, Hattingen, Germany) precision μCT system at Institute for Applied Materials (IAM-WK) at KIT with a μ-focus X-ray transmission tube with tungsten target and a PerkinElmer (Waltham, MA, USA) Y.XRD1620 flat-panel 2048 pixel $\times$ 2048 pixel detector. More details can be found in the corresponding publication.
The 15 scans are available as .raw- and .mhd-files, which can be read in Python with, e.g., the SimpleITK package, or in ImageJ (FIJI). The entirety of the scans are available twice: One set only has small brightness and contrast adjustments and cutting at the edges, but is otherwise in the original 16 bit data format. This set was used for the training of the convolutional neural network. The other set was cut more and is converted into 8 bit, which was used for the thresholding algorithm.
Computed tomography scans of 15 different carbon fiber reinforced polyamide 6 specimens (both original files (16 bit) and files of further cut scans (8 bit))
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 Dorymyrmex sp 1 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.
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 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.
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.
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
On Next-Generation Multi-Focus 3D Laser Printing
# 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
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
This folder contains videos of fragments of plastic cups (Cup_PP_05) being transported with a given flow condition (V3) in physical laboratory experiments.
Surfaced and suspended plastic: Cup_PP_05_V3 (videos)
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.
Operational convection-permitting COSMO/ICON ensemble predictions at observation sites (CIENS): Spatial variables of runs at 00 UTC. No observational data base included. For more information, see the corresponding Github-repository at https://github.com/slerch/CIENS.
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.
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"
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.
Dataset contains INP concentration data measured at Sammaltunturi, Lapland, Finland in 2023. The INP concentration is determined via the Ice Nucleation Spectrometer of the Karlsruhe Institute of Technology (INSEKT) and normalized to the volume of air sampled. Uncertainties represent the 95 % confidence interval and data is provided on a event-based grid, i.e. a new data point is given for each freezing event.
INSEKT, ice nucleation, ice-nucleating particle, INP, Arctic
Data for "Locally emitted fungal spores serve as high temperature ice nucleating particles in the European sub-Arctic" by Gratzl et al. 2025
Processed micro-tomographic scan of the ant Neivamyrmex punctaticeps, scanned at KIT Light Source. This dataset is part of 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 friction data as well XRd data from CuMn alloys. SEM and STEM images of these calloys after tribological loading
SEM, FIB, STEM images. XRD data. Raw Friction data
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"
Cloud variables of the warm bubble and semi-idealized simulations at hourly resolution, plus eight sensitivity experiments for the semi-idealized setup. Variable descriptions and units are given in the headers of the netcdf files. The naming of the folders corresponding to the sensitivity runs is as follows: semi_ideal_noicemult, semi_ideal_N0_x_0p01, semi_ideal_N0_x_0p1, semi_ideal_N0_x_10,semi_ideal_N0_x_100, semi_ideal_N0_x_1000, semi_ideal_T_2K, semi_ideal_TD_2K contain model output of the sensitivity runs with switched off ice multiplication, scaled heterogeneous ice formation by 0.01, 0.1, 10, 100 and 1000 and an increase in the near-surface temperature or the dewpoint temperature in the boundary layer by 2 K each, respectively. For data with higher time resolution, please contact the authors.
Cloud top phase distributions of simulated deep convective clouds
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.
The dataset contains 3D geometries of tectonic faults in Germany as mesh data. There are three fault sets: • Vertical fault set: Vertical_Fault_Set • Andersonian fault set containing: Andersonian_Normal_Faults, Andersonian_Thrust_Faults and Andersonian_Strike_Slip_Faults • Semi-Realistic fault set containing: Semi_Realistic _Normal_Faults, Semi_Realistic_Thrust_Faults and Semi_Realistic _Strike_Slip_Faults The three fault sets are of increasing complexity, however their accuracy is limited due to the large scale and the sparse availability of reference data. The data sets are given as .txt files that can be imported to Tecplot EX 2019 using the freely available AddOn GeoStress. If the files should be opened using Hypermesh or used as an input file for Abaqus the following edits have to be made: • The data type has to be changed to .inp • The Line \*NAME has to be deleted • The document must end with \*\*\*\*\* instead of \*\*
The dataset contains 3D geometries of major tectonic faults in Germany as mesh data in .txt format.
3D fault sets of Germany and adjacent areas
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.
Institut für Nanotechnologie, Helmholtz-Institut Ulm
The data contains Digital Micrograph files in the .dm3 and .dm4 formats and Velox files in the .vmd format. Digital Micrograph (DM) data can be open either by installing the offline and free version of the DM software from the Gatan website or by using the open access Fiji software. Velox data can be open with a special script available for DM. Experimental details: In order to perform TEM measurements the sample was prepared inside an argon field glovebox and then transferred to the microscope using a vacuum transfer holder in order to prevent samples from extensive air exposure. The dry powder of the samples was directly dispersed on the TEM holey carbon membrane without the use of solvents. The measurements were performed using a double aberration corrected and monochromated Themis Z microscope equipped with a Gatan GIF Continuum 970 spectrometer and a K3 IS camera. High-resolution STEM-HAADF images were recorded using a collection angle range of 63-200mrad. EELS spectrum imaging data cubes were acquired with a probe convergence angle of 30 mrad and a probe current of 0.5nA. The pixel size was around 1 nm and a dwell time of 0.1s per pixel for all the data series. The camera length was 30 mm and the spectrometer aperture was set to 5 mm resulting in a collection angle of about 40 mrad. All EELS data was acquired in dual-EELS mode containing both the core loss and the low loss spectra. All core loss spectra were realigned and deconvoluted based on the low loss spectra pairs prior to any data analysis.
TEM original data of the LNO (pristine and heat treated) samples
Optimizing the Performance of Printed Indium Oxide Thin-Film Transistors Through Gallium Incorporation
Folder Contains the Images, and the text file used for the corresponding images
Topologically optimized magnetic lens for magnetic resonance applications (DataSet)
-------------------------------------------------------------------------------- STATISTICS OF TURBULENT CHANNELS WITH AND WITHOUT DRAG REDUCTION AT CONSTANT POWER INPUT -------------------------------------------------------------------------------- ***This database features:*** * high quality turbulent flow statistics for canonical channel flows driven at Constant Power Input (CPI), Constant Flow Rate (CFR) and Constant Pressure Gradient (CPG) * global energy budgets and single point Reynolds stress budgets of turbulent channels driven at CPI in their canonical state or in a drag-reduced state achieved via spanwise wall oscillations or opposition control * a comprehensive study of several predetermined and feedback active strategies for turbulent drag reductions in channel, comprising parametric studies of the increase in energy efficiency for different values of several control parameters -------------------------------------------------------------------------------- ***Acknowledgment:*** Support through the Deutsche Forschungsgemeinschaft (DFG) project FR2823/5-1 is gratefully acknowledged. Computing time has been provided by the computational resource ForHLR Phase I funded by the Ministry of Science, Research and the Arts, Baden-Württemberg and DFG. -------------------------------------------------------------------------------- ***References:*** * D. Gatti, A. Cimarelli, Y. Hasegawa, B. Frohnapfel & M. Quadrio, (2018) "Global energy fluxes in turbulent channels with flow control", Journal of Fluid Mechanics, Vol. 857, pag. 345-373, doi: doi.org/10.1017/jfm.2018.749 * M. Quadrio, B. Frohnapfel & Y. Hasegawa, (2016) "Does the choice of the forcing term affect flow statistics in DNS of turbulent channel flows?", European Journal of Mechanics B. / Fluids, Vol. 55, pag. 286-293, doi: doi.org/10.1016/j.euromechflu.2015 * Y. Hasegawa, M. Quadrio & B. Frohnapfel, (2014) "Numerical simulation of turbulent duct flows with constant power input", Journal of Fluid Mechanics, Vol. 750, pag. 191-209, doi: doi.org/10.1017/jfm.2014.269 * B. Frohnapfel, Y. Hasegawa & M. Quadrio, (2012) "Money versus time: evaluation of flow control in terms of energy consumption and convenience", Journal of Fluid Mechanics, Vol. 700, pag. 406-418 doi: doi.org/10.1017/jfm.2012.139 -------------------------------------------------------------------------------- ***Content:*** reference-stats --> statistics of turbulent channels at Retau=200, driven at Constant Flow Rate (CFR), Constant Pressure Gradient (CPG) and Constant Power Input (CPI). energy-budgets --> global energy budgets and single-point Reynolds shear stress budgets of turbulent channels driven at Constant Power Input (CPI) with drag reduction achieved via spanwise wall oscillations (Quadrio & Ricco, JFM 2004) or opposition control (Choi, Moin & Kim, JFM 1994). flow-control-strategies --> parametric studies for finding the maximum theoretical efficiency of following strategies for turbulent drag reduction at Constant Power Input (CPI): StTW-fz: streamwise-travelling waves of spanwise body force StTW-w : streamwise-travelling waves of spanwise wall velocity SpTW-fz: spanwise-travelling waves of spanwise body force SpTW-w : spanwise-travelling waves of spanwise wall velocity OC-v: opposition control based upon wall-normal velocity BF-w: near-wall body force damping of spanwise velocity fluctuations Refer to the readme files in each subdirectory for further information on each database. -------------------------------------------------------------------------------- Changelog: Apr-23-2018: database uploaded -------------------------------------------------------------------------------- davide.gatti@kit.edu bettina.frohnapfel@kit.edu maurizio.quadrio@polimi.it ysk@iis.u-tokyo.ac.jp andrea.cimarelli@unimore.it
This database contains the result of the Deutsche Forschungsgemeinschaft (DFG) project FR2823/5-1 "Flow Control under Constant Power Input (CPI)". Please refer to the README below for further information.
Turbulence Turbulent flow Constant Power Input Drag Reduction
Turbulent flow statistics at Constant Power Input (CPI) with and without drag reduction
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.
The transition from traditional 2D cell culture models to physiologically relevant 3D models has revolutionized biomedical research. Hydrogels are frequently used to produce realistic 3D models with applications in tissue engineering, disease modeling and high-throughput screenings. However, integrating 3D cultures into high-throughput screening workflows presents challenges, including automation compatibility and cost constraints. Addressing these challenges requires innovative approaches that enable miniaturization, automation, and cost reduction while maintaining experimental fidelity. The Droplet Microarray (DMA) platform, based on hydrophilic-superhydrophobic surface patterning, facilitates the formation of homogeneous nanoliter-hydrogel arrays containing cells or spheroids. This method allows rapid dispensing of hundreds of nanoliter-hydrogel droplets with precise control over volume and cell density, reducing reagent consumption and offering high-throughput applications. The stable nanoliter-hydrogel array on a chip allows for experimental procedures like washing and medium immersion. We demonstrated that spheroid-containing droplets can be gelled at any point of the experiment, enabling the fixation of cell structures on the surface. Additionally, selective gelation of individual droplets enables spheroid sorting by stabilizing desired droplets and pooling the others. This method holds the potential for high-throughput and miniaturized workflows in 3D microenvironments, thereby advancing research in different fields such as cell, cell spheroid or organoid screenings, drug screenings and precision medicine.
This document provides an overview of the structure and content of the raw data files associated with the figures in this study. Data Organization The raw data is organized into folders corresponding to the figures in the manuscript. Each folder is named according to the figure number (e.g., Figure_1, Figure_2, etc.). Subsections within each figure are denoted by letters (e.g., 1A, 1B, 1C, etc.) and are stored as subfolders within the respective figure folder. Folder Structure ├── Figure_1/ │ ├── A/ │ ├── B/ │ └── C/ │ ├── Figure_2/ │ ├── A/ │ ├── B/ │ └── C/ │ └── ... (and so on for Figures 3-5) Data Format • Excel Files (.xlsx): Used for numerical values and experimental measurements. • Image Files (.tif, .png, .jpg): Raw or processed images for figures involving microscopy or visual data. Data Content Each dataset corresponds to the experimental results shown in the associated figure. The following details are included where applicable: • Experimental conditions (e.g., drug concentration, time point). • Replicates and repeats. Contact For questions or additional details about the raw data, please contact: Author Name: Maryam Salarian Email: Maryam.salarian@kit.edu Institution: Institute of Biological and Chemical Systems–Functional Molecular Systems (IBCS–FMS), Karlsruhe Institute of Technology (KIT), Germany
Nanoliter Hydrogel Array for Cell Screening and Cell Spheroid Sorting
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.
Simulation Results for the Evaluation of Strategies for an Adaptive Grid Control System Using Smart Buildings (Updated)
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
This folder contains videos of plastic films (Film_HDPE_100) being transported with a given flow condition (V5) in physical laboratory experiments.
Surfaced and suspended plastic: Film_HDPE_100_V5 (videos)
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 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.
All figures were created based on the data attached here. The folder is organized in the subfolders DS (diffuse scattering, CrysAlis suggested for analysis), transport (.txt or .dat format), specific heat (raw data from PPMS and extracted data in .txt format), XRD (x-ray diffraction, origin file) and phase diagram (all transition temperatures, origin file).
Impact of Ca Substitution on Competing Orders in Superconducting BaNi2As2
Multi-photon 3D laser micro-printed plastic scintillators for applications in low-energy particle physics
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.
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 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.
Department of Atmospheric Science, Colorado State University, Fort Collins, CO 80523-1371, USA
Atmospheric, Climate, & Earth Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
Max Planck Institute for Chemistry, Mainz, 55128, Germany
Department of Chemistry, Aarhus University, DK-8000 Aarhus, Denmark
Department of Earth, Atmospheric, and Planetary Sciences, Purdue University, West Lafayette, IN 47907, USA
UK Health Security Agency, Oak Park Lane, Cookridge, Leeds, West Yorkshire LS16 6RW, UK
Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232 Villigen, Switzerland
Earth System Research Laboratory, National Oceanic and Atmospheric Administration, Boulder, CO 80305, USA
Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology, Eggenstein-Leopoldshafen, 76344, Germany
Environmental and Climate Sciences Department, Brookhaven National Laboratory, Upton, NY 11973, USA
Atmospheric, Climate, & Earth Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA; Now at: Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232 Villigen, Switzerland
Department of Life, Earth, and Environmental Sciences, West Texas A&M University, Canyon, TX 79016, USA
Department of Earth and Environmental Sciences, University of Manchester, Manchester, M13 9PL, UK; 4National Centre for Atmospheric Sciences, University of Manchester, Manchester, M13 0PL, UK
The data files named “Fig1” to “Fig9” are related to Figures 1 to 9 in the main manuscript, respectively. The file named “FigS2-7” is related to the Figures in the supporting information. The data originates mainly from measurements by single particle mass spectrometers (SPMSs).
Dataset for the paper entitled "The Fifth International Workshop on Ice Nucleation Phase 1 (FIN-01): Intercomparison of Single Particle Mass Spectrometers."
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
This is the Version 2 of databank of satellite vertical profiles of the water vapour, that have participated in SPARC WAVAS assessment, in a harmonized format, WAVAS_SAHAR. All vertically-resolved satellite measurements of the tropospheric and stratospheric water vapour in the time period between 1984 and 2018 are included. The databank consists of water vapour profiles retrieved from each instrument, which are screened for invalid data according to recommendations of instruments’ teams, then transformed into a common unit and interpolated on a common grid. The data versions included are those existing at the moment of WAVAS exercise, hence not always the most recent at the time of publishing. The only difference of version 2 of the databank to the initial version of WAVAS-SAHAR is the MLS entry on ALT grid : in the version 2 the regridding was performed using the geometrical altitudes from Derived Meteorological Products (DMPs) for MLS profiles.
There exist two versions of the databank: volume mixing ratio profiles on common pressure grid and volume mixing ratio profiles on common altitude grid. The pressure grid corresponds to vertical sampling of appr. 1 km below 20 km and appr. 2–3 km above 20 km; the altitude grid has 1-km step. The altitude range of the profiles provided varies from instrument to instrument. Geolocation, uncertainty estimates when available, and vertical resolution are provided for each profile. For some instruments, quality-related optional parameters are provided as well. This is one stop source for satellite vertical profiles of water vapour for the period 1984–2018. This databank is useful for a wide range of atmospheric applications, targets a wide range of users from modellers to scientists, and can be interesting for purposes of validation, assimilation, data merging, and atmospheric research. The databank WAVAS_SAHAR has been created in the framework of the European Space Agency Climate Change Initiative project.
Water vapour profiles from WAVAS SAtellite component in HARmonized format (WAVAS_SAHAR) - Version 2
Processed micro-tomographic scan of the ant Carebara urichi, scanned at KIT Light Source. This dataset is part of 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 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).
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
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.
This data set covers total load, hourly generation and electric efficiency of power plants >100MW in Germany 2017. Based on this data, the four jupyter-notebooks derive average carbon dioxide emissions factors for each hour and marginal emission factors for twenty load levels. The third script contains a case study for scheduling battery electric vehicles based on short-term forecasts of marginal emission factors.
Estimation of Marginal CO2 Emission Factors in Germany 2017
# `counterSharp` Experiment and Play Environment This repository contains the reproducible experimental evaluation of the [counterSharp tool](https://github.com/samysweb/counterSharp). The repository contains a Docker file which configures the counterSharp tool, two model counters (ApproxMC and Ganak) as well as the [tool by Dimovski et al.](https://github.com/aleksdimovski/probab_analyzer) for our experiments. Furthermore the repository contains the benchmarks on which we ran our experiments as well as the logs of our experiments and scripts for transforming the log files into LaTeX tables. ## Getting Started In order to pull and run the docker container from docker hub you should execute `docker run`. Or, you can load the archived and evaluated artifact into docker with ``` docker load < countersharp-experiments.tar.gz ``` If the image is loaded, `docker run` opens a shell allowing the execution of further commands: ```bash docker run -it -v `pwd`/results:/experiments/results samweb/countersharp-experiments ``` By using a volume, the results are written to the host system rather than the docker container You can remove the volume mounting option (`-v ...`), and create `/experiments/results` inside the container if you can spare the results. If you are using the volume and run into permission problems, then you need to give rights via SELinux: `chcon -Rt svirt_sandbox_file_t `pwd`/results`. This will create a writable folder `results` in your current folder which will hold any logs from experiments. A minimal example can be executed by running (this takes approximately **70 seconds**): ```bash ./showcase.sh ``` This will create benchmark log files for the benchmarks `for_bounded_loop1.c` and `overflow.c` in the folder [`results`](results). For example, `/experiments/results/for_bounded_loop1.c/0X/` contains five folder for the five repeated runs of the experiments on this file. Each folder `/experiments/results/for_bounded_loop1.c/0X/` contains the folders for the different tools, which includes the log and output files. A full run can be executed by running (this takes approximately a little under **2 days**): ```bash ./run-all.sh ``` Additionally single benchmarks can be executed through the following commands: ```bash run-instance approx program.c "[counterSharp arguments]" # Runs countersharp with ApproxMC on program.c run-instance ganak program.c "[counterSharp arguments]" # Runs countersharp with Ganak on program.c Probab.native -single -domain polyhedra program.c # Runs the tool by Dimovski et al. for deterministic programs Probab.native -single -domain polyhedra -nondet program.c # Runs the tool by Dimovski et al. for nondeterministic programs ``` For example we can execute `run-instance approx /experiments/benchmarks/confidence.c "--function testfun --unwind 1"` to obtain the outcome of counterSharp and ApproxMC for the benchmark `confidence.c`. Note that the time information produced by runlim is always only for one part of the entire execution (i.e. for counterSharp or one ApproxMC run or one Ganak run). The script `run-instance` is straightforwarded, we have the call to our tool [counterSharp](https://github.com/samysweb/counterSharp): ```bash python3 -m counterSharp --amm /tmp/amm.dimacs --amh /tmp/amh.dimacs --asm /tmp/asm.dimacs --ash /tmp/ash.dimacs --con /tmp/con.dimacs -d $3 $2 ``` which is followed by the call of `ApproxMC` oder `ganak`. ## Benchmarks The benchmarks are contained in the folder [`benchmarks`](benchmarks) which also includes an overview on the sources and modifications to the benchmarks Note that benchmark versions for the tool by Dimovski et al. are contained in folder [`benchmarks-dimovski`](benchmarks-dimovski) ## Benchmark Results The results are contained in the folder [`results`](results) in which all logs from benchmark runs reside. The log files from the evaluation are not available in the Docker Image, but just on GitHub. The logs are split-up by benchmark instance (first level folder), run number (second level folder) and tool (third level folder) For example, the file `results/bwd_loop1a.c/01/approxmc/stdout.log` contains the stdout and stderr of running approxmc on the instance `bwd_loop1a.c` in run `01` ### Machine Details All runs were executed on a Linux machine housing an Intel(R) Core(TM) i5-6500 CPU (3.20GHz) and 16GB of memory. Note that for every benchmark log `01/counterSharp/init.log` contains information on the machine used for benchmark execution as well as on the commits used in the experiments. ## Running benchmarks For all cases of automated benchmark execution we assume a CSV file containing relevant information on the instances to run: The first column is the benchmark's name, the second column are parameters passed to counterSharp (see `instances.csv`) or the tool by Dimovski (see `instances-dimovski.csv`). All scripts produce benchmarking results for "missing" instances, i.e. instances for which no folder can be found in the `results` folder. - Run counterSharp on the benchmarks: `run-counterSharp instances.csv` - Run [ApproxMC](https://github.com/meelgroup/ApproxMC) on benchmarks: `run-approxmc instances.csv` - Only after counterSharp has been run - Run [GANAK](https://github.com/meelgroup/ganak) on benchmarks: `run-ganak instances.csv` - Only after counterSharp has been run - Run [Dimovski's tool](https://github.com/aleksdimovski/probab_analyzer) on benchmarks: `run-dimovski instances-dimovski.csv` ## Log summarization Summarization is possible through the python script in `logParsing/parse.py` within the container. The script takes as input a list of benchmarks to process and returns (parts of) a LaTeX table. Note, that there must exist logs for all benchmarks provided in the CSV file for the call to succeed! - **To obtain (sorted) results for deterministic benchmarks:** `cat logParsing/deterministic-sorted.csv| python3 logParsing/parse.py results aggregate2` - **To obtain (sorted) results for nondeterministic benchmarks:** `cat logParsing/nondeterministic-sorted.csv| python3 logParsing/parse.py results nondet` ## Building the docker container All tools are packaged into a Dockerfile which makes any installation unnecessary. There is, however, the need for a running Docker installation. The `Dockerfile` build depends on the accessibility of the following GitHub Repositories: - [CryptoMiniSat](https://github.com/msoos/cryptominisat) - [ApproxMC](https://github.com/meelgroup/approxmc) - [Ganak](https://github.com/meelgroup/ganak) - [Probab_Analyzer](https://github.com/aleksdimovski/probab_analyzer) - [counterSharp](https://github.com/samysweb/counterSharp) The Docker image is hosted at [Dockerhub](https://hub.docker.com/repository/docker/samweb/countersharp-experiments).
Evaluated Artifact for "Quantifying Software Reliability via Model-Counting"
In many cases, the hybridization of two or more excitation modes in solids has led to new and useful dispersion relations of waves. Well-studied examples are phonon polaritons, plasmon polaritons, particle-plasmon polaritons, cavity polaritons, and magnetic resonances at optical frequencies. In all of these cases, the lowest propagating mode couples to a finite-frequency localized resonance. Herein, the unusual metamaterial phonon dispersion relations arising from the hybridization of an ordinary acoustical phonon mode with a back-folded soft or easy phonon mode of a monomode elastic metamaterial are discussed. Conceptually, the single easy mode can have strictly zero wave velocity. In reality, its wave velocity is very much smaller than that of all other modes. Considering polymeric 3D printed elastic monomode metamaterials at ultrasound frequencies, it is shown theoretically and experimentally that the resulting pronounced avoided crossing, with a frequency splitting comparable to the mid-frequency, leads to backward-wave behavior for the lowest band over a broad frequency range, conceptually at zero loss.
Dispersion Engineering by Hybridizing the Back-Folded Soft Mode of Monomode Elastic Metamaterials with Stiff Acoustic Modes
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.
Data for the publication: Temporal decay of secondary motions in turbulent channel flows
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.
Gif ﬁles (also with pdf versions) that demonstrate the trade-oﬀ problem, so how the values of tidal parameters change for different trade-off parameter, with indication of the point on the curve. This is the presentation of Figs. 1-3 (main paper), extended. Six different movies correspond to three different iterations, model parameters ordered with increasing amplitudes and frequency, separately. The analysis was performed on gravity records from 11.5 years of superconducting gravimeter at the BFO (SG056-L sensor). For details see original paper and its suplementary file: https://doi.org/10.1007/s00190-023-01770-w
Animated gifs and corresponding pdfs for trade-off problem for Regularization in Tidal Analysis (RATA)
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
Institut für Quantenmaterialien und -technologien
Understanding the organizing principles of interacting electrons and the emergence of novel electronic phases is a central endeavor of condensed matter physics. Electronic nematicity, in which the discrete rotational symmetry in the electron fluid is broken while the translational one remains unaffected, is a prominent example of such a phase. It has proven ubiquitous in correlated electron systems, and is of prime importance to understand Fe-based superconductors. Here, we find that fluctuations of such broken symmetry are exceptionally strong over an extended temperature range above phase transitions in BaNi$_2$(As$_{1−x}$P$_x$)$_2$ , the nickel homologue to the Fe-based systems. This lends support to a type of electronic nematicity, dynamical in nature, which exhibits a particularly strong coupling to the underlying crystal lattice. Fluctuations between degenerate nematic configurations cause a splitting of phonon lines, without lifting degeneracies nor breaking symmetries, akin to spin liquids in magnetic systems
An Electronic Nematic Liquid in BaNi2As2
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
Tabletop Microplotter - Metallic Sample Holder (in-situ Curing Example)
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 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 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 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.
Inv3D: a high-resolution 3D invoice dataset for template-guided single-image document unwarping - Train split part 4 of 4