# 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
University of Missouri, Division of Animal Sciences
Research Institute for Farm Animal Biology (FBN), Wilhelm-Stahl-Allee 2, 18196 Dummerstorf, Germany
Research Institute for Farm Animal Biology (FBN)
Population genetic metrics help to evaluate the genomic map coordinates of the SNP markers sited on SNP genotyping arrays. A three-step approach combining the recombination and linkage disequilibrium (LD) analyses was applied to the Illumina Bovine SNP50 genotyping array in a large pedigree of Holstein cattle consisting of 367,056 animals distributed in 1,053 half-sib families to investigate if the markers fit into the assigned physical map coordinates. A panel of 65 markers was suggested as misplacement candidates. Results of both recombination and LD analyses for each candidate marker are presented. List of marker names and coordinates within 30 refined problematic regions are supplemented. This data is associated with a publication in Animal Genetics (Qanbari et al. 2022).
Bundesministerium für Bildung und Forschung (BMBF)
misplaced SNP, recombination rate, linkage disequilibrium
Supplemental data to publication "Evidence of Rare Misassemblies in the Bovine Reference Genome Revealed by Population Genetic Metrics" (Animal Genetics)
Simulated data for genomic evaluations in breeding populations
Leibniz Institute for Farm Animal Biology (FBN), Wilhelm-Stahl-Allee 2, 18196 Dummerstorf, Germany
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"
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
Federal Ministry of Education and Research (BMBF)
SNP, dominance, epistasis, recombination, genetic variation
Supplementary data to publication “An approximate Bayesian significance test for genomic evaluations” (Biom J)
The study tested the effects of conjugated linoleic acid (CLA) and essential fatty acid (EFA) infusion on glucose metabolism and the somatotropic axis in dairy cows around calving. Supplementation with CLA and the combination of CLA with EFA resulted in elevated plasma glucose but decreased glucose production and stimulation of the somatotropic axis after calving. EFA treatment enhances glucose production but inhibits hepatic mRNA abundance related to gluconeogenesis.
α-linolenic acid, conjugated linoleic acid, glucose metabolism, somatotropic axis
Supplementary data to publication "Glucose metabolism and the somatotropic axis in dairy cows after abomasal infusion of essential fatty acids together with conjugated linoleic acid during the time of calving"
Ad libitum MR-fed calves vary in their feeding behavior and individual feed intake during the preweaning period. This study intended to classify ad libitum MR-fed calves according to their individual voluntary MR intake using a clustering approach. Analysis allowed discriminating two groups of calves with different MR meal size (HIGH; 2.2 ± 0.11 L MR/visit; LOW; 1.8 ± 0.07 L MR/visit). Differences in feeding behaviors were linked to growth performance and metabolic changes.
calf, cluster analysis, ad libitum feeding
Supplementary data to publication "Effects of milk replacer (MR) meal size on feed intake, growth performance, and blood metabolites and hormones of calves fed MR with or without butyrate ad libitum: A cluster-analytic approach"
This study investigated the transfer of essential fatty acid (EFA) and conjugated linoleic acid (CLA) to calves, whose dams were supplemented with EFA and CLA during late gestation and early lactation. Maternal EFA and CLA supplementation increased the respective fatty acids in calf plasma to a greater extent on d 5 of life than on d 1 before colostrum feeding and affected colostrum composition but did not affect calf performance.
essential fatty acids, conjugated linoleic acid, maternal fatty acid status, neonate
Supplementary data to publication "Modulation of colostrum composition and fatty acid status in neonatal calves by maternal supplementation with essential fatty acids and conjugated linoleic acid starting in late lactation"
Leibniz-Institut für Nutztierbiologie (FBN), Wilhelm-Stahl-Allee 2, 18196 Dummerstorf, Germany
Institut für Genetik und Biometrie, Leibniz-Institut für Nutztierbiologie (FBN)
This is a data publication hosted by the research data repository RADAR.
Mouse High Fecundity Advanced Intercross Data I: Phenotypes, Pedigree and Founder Genotypes
Mendelian sampling variability (MSV), determined by the heterozygosity and linkage phases of the parental haplotypes, quantifies the chance of producing offspring with high breeding values. Recent genomic selection criteria combine expected breeding values with MSV to maximize the chance of producing offspring with exceptional breeding values. These criteria, however, tend to select similar parents with high variability potential. Therefore, a measure of haplotype similarity is required to avoid this tendency and preserve diversity. Here, we derive this measure by pairing all potential gametes from two parents based on their segregating marker patterns. Subsequently, a similarity measure between two parents is defined as the absolute value of the covariance between the additive values of the paired gametes on a chromosome. A similarity matrix with absolute covariances as off-diagonal elements and MSVs as diagonal elements summarizes all pairwise similarities between parents. A parent’s similarity to itself equals its MSV. High similarity indicates that the parents share many heterozygous markers with large effects on a trait in the same linkage phase. The concept generalizes to multiple chromosomes, an aggregate genotype with multiple traits, and similarity between zygotes. We demonstrated the properties of the similarity matrix using empirical data. Through simulations, we showed that incorporating the matrix into genomic selection preserves up to 1630% more genetic variability and yields up to 7% more genetic gain relative to index selection in the long term. Although further research is needed, our results suggest that including similarity matrices preserves haplotype diversity and improves long-term genomic selection.
Bundesanstalt für Landwirtschaft und Ernährung
A similarity matrix for preserving haplotype diversity - supplementary material
In Hampel et al. (2018, Fron Genet), we proposed an advanced method for the estimation of paternal recombination rate and maternal linkage disequilibrium between pairs of SNPs if genotypes of paternal half sibs were available. To show practical usability of the approach, empirical bovine data comprising several half-sib families have been investigated. However, the outcome of our method strongly depended on the order of SNPs. For instance, candidates of putatively misplaced SNPs were identified if recombination rate between close SNPs was unusually high. Since the bovine genome assembly has been updated to its current version ARS-UCD1.2, it was necessary to re-analyse the data. The parameter estimates as well as the input data are now jointly available from this repository. More details about the methodology can be found in Hampel et al. (2018, Fron Genet), https://doi.org/10.3389/fgene.2018.00186.
SNP, recombination rate, linkage disequilibrium
Updated results to publication “Estimation of Recombination Rate and Maternal Linkage Disequilibrium in Half-Sibs” (Fron Genet)
The study of selection signatures helps to find genomic regions that have been under selective pressure and might host genes or variants that modulate important phenotypes. Such knowledge improves our understanding of how breeding programmes have shaped the genomes of livestock. In this study, 942 stallions were included from four, exemplarily chosen, German warmblood breeds with divergent historical and recent selection focus and different crossbreeding policies: Trakehner (N=44), Holsteiner (N=358), Hanoverian (N=319) and Oldenburger (N=221). Blood samples were collected during the health exams of the stallion preselections before licensing and were genotyped with the Illumina EquineSNP50 BeadChip. Autosomal markers were used for a multi-method search for signals of positive selection. Analyses within and across breeds were conducted by using the integrated Haplotype Score (iHS), cross-population Extended Haplotype Homozygosity (xpEHH) and Runs of Homozygosity (ROH). Oldenburger and Hanoverian showed very similar iHS signatures, but breed specificities were detected on multiple chromosomes with the xpEHH.
German Federal Ministry for Education and Research (BMBF) (Grant No. 031513)5B)
selection signatures, animal population genetics, horse
Supplemental data to publication "Selection signatures in four German warmblood horse breeds: tracing breeding history in the modern sport horse" (PLOS ONE)
State-Office for Geo-Information and Rural Development, Geodata-Center
Three files with p-values for each marker and five traits are provided. Each file contains p-values for one of three different hypotheses were tested for each trait, marker association with i) imprinting effects, with ii) transmitting abilities as sires and with iii) transmitting abilities as dams. Estimates for imprinting effects (parent-of-origin effects), transmitting abilities as sires and as dams were derived from a population analysis of salughterhouse data from Brown Swiss fattenening bulls by applying an appropriate mixed model that accounts for paternal and maternal imprinting simultanously. For more information see the detailed data description and the accompanying publication.
genomic imprinting; parent-of-origin effects; genome-wide association study; body composition traits; growth traits; cattle
Result files – Scanning the genomes of parents for imprinted loci acting in their un-genotyped progeny
Institute of Genetics and Biometry, Leibniz-Institute for Farm Animal Biology (FBN)
Example programs are presented that can be used to compute expected relationships in a two-way cross where the founders have been genotyped. Theory is described in very detail in the article of Meng et al. "Turning Observed Founder Alleles into Expected Relationships in an Intercross Population", published in G3: Genes, Genomes, Genetics (2019 vol. 9 no. 3 889-899) and accessible under https://doi.org/10.1534/g3.118.200752 . Together with the programs example data are provided. A further detailed description is given in the readme-file that is included.
relationship matrix, expected relationships, founder relationships
Turning observed founder alleles into expected relationships - example programs
The guide to practical application of generalized gametic relationships has three main parts. The first is the source code (Fortran2015) of a program for setting up the inverse of a generalized gametic relationship matrix from pedigree data, a detailed program description and example input and output files. In the second part six worked examples are presented, demonstrating in very detail how various mixed models with generalized gametic relationship matrices can be implemented using the ASReml package. Each example is accompanied by R-code to check model details and the correctness of the ASReml implementation. Finally a large mouse data set (about 13,000 observations on body weight, 153 generations) is provided together with details on how it can be analyzed with different gametic models using ASReml.
parent-of-origin effects, genomic imprinting, gametic relationship matrix, genomic selection, mixed models
Generalized gametic relationships - a guide to practical implementation
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
Universität Halle (Saale) | Halle (Saale)
Rosenbaum, Georg August Wilhelm Julius | 1807–1874 | Arzt
Martin-Luther-Universität Halle-Wittenberg | Halle (Saale); Wittenberg
Institut für Landesgeschichte (Sachsen-Anhalt)
Historisches Datenzentrum Sachsen-Anhalt
Rothmann, Hans | 1899–1970 | Arzt; Internist; Militärarzt
Rudolph, Albert | 1901– | Wirtschaftsgeograf; Hochschullehrer
Ruttenbeck, Walter | 1890–1964 | Theologe; Pfarrer; Sanitäter; Krankenhausseelsorger; Hochschullehrer
Römer, Paul H. | 1876–1916 | Bakteriologe; Arzt; Hochschullehrer
Ruville, Albert von | 1855–1934 | Historiker; Hochschullehrer
Rüdiger, Johann Christian Christoph | 1751–1822 | Linguist; Hochschullehrer
Rümker, Kurt von | 1859–1940 | Agrarwissenschaftler; Landwirt
Rosenfeld, Ernst Heinrich | 1869–1952 | Jurist; Hochschullehrer
Rosenberger, Otto August | 1800–1890 | Astronom; Mathematiker
Roth, Heinrich Albert | 1900–1973 | Agrarwissenschaftler
Rothstein, Johann Wilhelm | 1853–1926 | Alttestamentler; Theologe
Roux, Wilhelm | 1850–1924 | Biologe; Naturphilosoph; Anatom
Ruhland, Wilhelm | 1878–1960 | Botaniker; Wissenschaftshistoriker; Hochschullehrer; Zeitungsverleger
Rudorf, Wilhelm | 1891–1969 | Pflanzenzüchter; Agrarwissenschaftler; Hochschullehrer
Ruth, Rudolf | 1888–1942 | Jurist; Gerichtsassessor; Hochschullehrer
Runge, Franz | 1893–1973 | Chemiker; Hochschullehrer
Sauerwald, Franz | 1894–1979 | Chemiker; Hochschullehrer
Rachfahl, Felix | 1867–1925 | Historiker
Rausch, Alfred | 1858–1939 | Pädagoge; Schulleiter; Philosoph
Rauterberg, Eduard | 1898–1977 | Agrikulturchemiker
Reuter, Johann Hartwig | 1725–1773 | Jurist; Hochschullehrer
Ritschl, Otto | 1860–1944 | Evangelischer Theologe; Hochschullehrer
Ritter, Otto | 1876–1963 | Philologe; Anglist; Hochschullehrer
Rasch, Wolfdietrich | 1903–1986 | Philologe; Literaturwissenschaftler; Hochschullehrer
Rebeur-Paschwitz, Ernst von | 1861–1895 | Geophysiker; Astronom
Reess, Max | 1845–1901 | Botaniker; Biologe
Rehme, Paul | 1867–1941 | Jurist; Hochschullehrer
Richter, Friedrich Adolph | 1748–1797 | Arzt
Roloff, Friedrich Heinrich | 1830–1885 | Tierarzt
Ranke, Hans Rudolf | 1849–1887 | Chirurg; Hochschullehrer; Arzt
Reinhold, Hermann | 1893–1940 | Chemiker; Hochschullehrer
Reitzenstein, Erich | 1897–1976 | Klassischer Philologe; Hochschullehrer
Reuter, Fritz | 1896–1963 | Komponist; Musikwissenschaftler; Herausgeber; Dirigent; Komponist; Dramaturg
Riehl, Alois | 1844–1924 | Philosoph; Hochschullehrer
Roemer, Theodor | 1883–1951 | Agrarwissenschaftler; Hochschullehrer
Rojahn, Carl August | 1889–1938 | Hochschullehrer; Chemiker
Rambach, Johann Jakob | 1693–1735 | Evangelischer Theologe; Kirchenlieddichter; Pfarrer; Superintendent; Hochschullehrer; Schulleiter
Rahlwes, Alfred | 1878–1946 | Musikdirektor; Komponist; Dirigent; Komponist
Reichenbach, Erwin | 1897–1973 | Zahnarzt
Reil, Johann Christian | 1759–1813 | Arzt; Internist; Anatom; Autor; Arzt
Reiner, Hans | 1896–1991 | Philosoph; Pädagoge; Hochschullehrer
Reinhard, Conrad Friedrich | 1692–1728 | Philosoph; Jurist
Riehm, Eduard Karl August | 1830–1888 | Evangelischer Theologe
Rietschel, Siegfried | 1871–1912 | Jurist
Rooks, Gerhard | 1901–1975 | Arzt; Hochschullehrer
Rive, Richard Robert | 1864–1947 | Oberbürgermeister; Jurist
Robert, Carl | 1850–1922 | Archäologe; Klassischer Philologe; Hochschullehrer
Sattelmacher, Paul | 1879–1947 | Jurist; Richter; Ministerialrat
Scheibe, Max | 1870–1902 | Evangelischer Theologe
Schlottmann, Constantin | 1819–1887 | Evangelischer Theologe; Orientalist; Hochschullehrer
Schmaltz, Kurt | 1900–1995 | Wirtschaftswissenschaftler; Diplomkaufmann; Wirtschaftsprüfer; Steuerberater; Hochschullehrer
Schmalfuß, Karl | 1904–1976 | Biologe; Agrarwissenschaftler; Bodenkundler
Schmelzeisen, Gustaf Klemens | 1900–1982 | Jurist; Hochschullehrer
Schmidt, Adolf | 1865–1918 | Arzt; Internist; Politiker; Militärarzt; Hochschullehrer; Rektor
Schmidt-Hoensdorf, Fritz | 1889–1967 | Hochschullehrer; Tierarzt; Zoologe
Schmidt, Paul | 1872–1950 | Arzt; Bakteriologe; Schiffsarzt; Hochschullehrer
Schmidt, Richard | 1866–1939 | Übersetzer; Indologe
Schmidt-Rimpler, Walter | 1885–1975 | Jurist; Hochschullehrer
Schmieden, Victor | 1874–1945 | Arzt; Chirurg; Hochschullehrer
Schachtschabel, Hans | 1914–1993 | Volkswirt; Hochschullehrer
Schaedel, Bernhard | 1878–1926 | Philologe; Romanist
Schardt, Alois | 1889–1955 | Kunsthistoriker; Hochschullehrer
Scharff, Alexander | 1892–1950 | Ägyptologe; Kurator <Museumskunde>; Hochschullehrer
Scheffer, Fritz | 1899–1979 | Agrarwissenschaftler; Hochschullehrer; Bodenkundler
Schenck, Adolf | 1857–1936 | Geograf; Mineraloge; Botaniker; Forschungsreisender; Hochschullehrer
Schenck, Günther Otto | 1913–2003 | Chemiker; Hochschullehrer
Scherer, Alexander Nicolaus | 1771–1824 | Physiker; Chemiker; Apotheker; Staatsrat
Schering, Arnold | 1877–1941 | Musikwissenschaftler; Hochschullehrer; Musikkritiker; Herausgeber; Komponist
Schleiermacher, Friedrich | 1768–1834 | Evangelischer Theologe; Pädagoge; Übersetzer; Philosoph; Hochschullehrer; Prediger; Schriftsteller
Schirmer, Otto | 1864–1917 | Augenarzt; Arzt
Schlier, Heinrich | 1900–1978 | Neutestamentler; Patristiker; Katholischer Theologe; Hochschullehrer
Schlitte, Johann Gerhard | 1683–1748 | Jurist; Hofrat
Schlüter, Otto | 1872–1959 | Geograf; Hochschullehrer
Schmeizel, Martin | 1679–1747 | Jurist; Historiker; Selbstverleger; Heraldiker
Schmalz, Theodor von | 1760–1831 | Jurist
Schmid, Günther | 1888–1949 | Botaniker; Hochschullehrer
Schmidt, Friedrich Wilhelm | 1893–1945 | Theologe; Seelsorger; Religionslehrer; Hochschullehrer
Schmidt, Hans | 1877–1953 | Alttestamentler; Pfarrer; Hochschullehrer; Evangelischer Theologe; Offizier; Kriegsteilnehmer; Kriegsgefangener
Schmidt, Karl Eduard Franz | 1862–1946 | Physiker; Hochschullehrer
Schmidt-Rimpler, Hermann | 1838–1915 | Augenarzt
Schmitz, Friedrich Karl Johann | 1850–1895 | Botaniker
Schmoller, Gustav von | 1838–1917 | Wirtschaftswissenschaftler; Sozialwissenschaftler; Hochschullehrer; Volkswirt
Schnabel, Paul | 1887–1947 | Historiker; Althistoriker; Altorientalist; Lehrer; Hochschullehrer
Schneider, Ferdinand Josef | 1879–1954 | Germanist; Literarhistoriker; Philologe; Hochschullehrer
Bunge, Paul | 1853–1926 | Arzt; Augenarzt; Militärarzt; Hochschullehrer
Dietzel, Karl Heinrich | 1893–1951 | Geograf; Ethnologe
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.
LASH Abt. 268 Nr. 21: Alphabetische Studienbescheinigungen für Domherren zu Lübeck (Documenta studii biennalis)
Bilfinger, Carl | 1879–1958 | Staatsrechtslehrer; Hochschullehrer; Richter
Girard, Heinrich | 1814–1878 | Mineraloge; Geologe
Goltz, Friedrich | 1834–1902 | Physiologe
Franzen, Adam Wilhelm | 1718–1766 | Historiker; Philosoph
Flörcke, Johann Ernst von | 1695–1762 | Jurist; Hochschullehrer; Politiker; Hofrat; Regierungsrat; Geheimer Rat
Knapp, Georg Christian | 1753–1825 | Evangelischer Theologe; Hochschullehrer; Schulleiter; Konsistorialrat; Pietist; Theologe
Knoblauch, Karl Hermann | 1820–1895 | Physiker; Hochschullehrer
Klotz, Christian Adolf | 1738–1771 | Philologe; Philosoph; Bibliothekar; Schriftsteller; Satiriker
Klostermann, Erich | 1870–1963 | Patristiker; Theologe; Klassischer Philologe; Geistlicher; Hochschullehrer
Kleinknecht, Hermann | 1907–1960 | Klassischer Philologe; Hochschullehrer
Knapp, Johann Georg | 1705–1771 | Evangelischer Theologe; Pädagoge
Klatt, Berthold | 1885–1958 | Zoologe; Biologe; Hochschullehrer
Kitzinger, Friedrich | 1872–1943 | Jurist
Kisch, Guido | 1889–1985 | Jurist; Hochschullehrer
Klügel, Georg Simon | 1739–1812 | Mathematiker; Physiker; Hochschullehrer
Klein, Ernst Ferdinand | 1743–1810 | Jurist; Freimaurer
Kneise, Otto | 1875–1953 | Urologe; Gynäkologe; Militärarzt; Hochschullehrer
Klinkowski, Maximilian | 1904–1971 | Biologe
Mencken, Johann Kaspar Ludwig | 1752–1795 | Jurist
Marschall von Bieberstein, Fritz | 1883–1939 | Jurist
Meckel, Johann F. | 1781–1833 | Arzt; Anatom; Chirurg; Zoologe
Maass, Johann Gebhard Ehrenreich | 1766–1823 | Philosoph; Mathematiker; Liederdichter; Freimaurer
Mackenroth, Gerhard | 1903–1955 | Sozialwissenschaftler; Volkswirt; Hochschullehrer
Matzen, Peter Friedrich | 1909–1986 | Arzt; Orthopäde; Chirurg
Matz, Friedrich | 1843–1874 | Archäologe; Klassischer Philologe; Hochschullehrer
Martiny, Benno | 1871–1953 | Maschinenbauingenieur; Hochschullehrer
Marek, Gustav | 1840–1896 | Agrarwissenschaftler; Physiologe
Menner, Erich | 1900–1966 | Biologe; Dozent
Merkel, Franz Rudolf | 1881–1955 | Hochschullehrer; Religionswissenschaftler; Pfarrer; Militärgeistlicher
Meier, Georg Friedrich | 1718–1777 | Philosoph; Mathematiker
Maurenbrecher, Bertold | 1868–1943 | Philologe; Klassischer Philologe
Meier, Ernst von | 1832–1911 | Jurist; Kurator <Hochschule>
Mering, Josef | 1849–1908 | Arzt; Physiologe; Pharmakologe; Internist
Madihn, Georg Samuel | 1729–1784 | Jurist
Medicus, Fritz | 1876–1956 | Philosoph; Pädagoge
Mertner, Edgar | 1907–1999 | Literaturwissenschaftler
Meinert, Friedrich | 1757–1828 | Mathematiker; Astronom; Techniker; Philosoph; Schriftsteller; Leutnant; Militärwissenschaftler
Meckel, Philipp Friedrich Theodor | 1755–1803 | Arzt
Menzer, Paul | 1873–1960 | Philosoph; Pädagoge; Hochschullehrer
Meissner, Bruno | 1868–1947 | Orientalist
Meier, John | 1864–1953 | Volkskundler; Germanist; Mediävist
Gabriel, Paul | 1883–1964 | Pfarrer; Komponist; Evangelischer Theologe
Beyer, Albert Kurt | 1907–1956 | Geologe
Dähne, August Ferdinand | 1807–1878 | Evangelischer Theologe; Philosoph
Historische Filmaufnahme des Privatarchivs Hermann Klaetsch und Erna Theilig
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.
Sammlung Familie Hermann Klaetsch (1903-1965) und Erna Theilig (1905-1991)
Klaetsch, Hermann | 1903–1965 | Steuerberater
Eigler, Gerhard | 1900–1975 | Arzt; Hals-Nasen-Ohren-Arzt; Direktor
LASH Abt. 268 Nr. 456: Manual-Protokolle
Baesecke, Georg | 1876–1951 | Mediävist; Germanist; Hochschullehrer; Philologe; Schriftsteller; Hochschullehrer
Erdmann, Benno | 1851–1921 | Philosoph; Psychologe
Blass, Friedrich | 1843–1907 | Klassischer Philologe; Pädagoge; Lehrer; Oberlehrer
Fleischer, Johann Lorenz | 1691–1749 | Jurist
Endemann, Friedrich | 1857–1936 | Jurist
Grötzsch, Herbert | 1902–1993 | Mathematiker
Buddeus, Johann Franz | 1667–1729 | Evangelischer Theologe; Philosoph; Orientalist; Hochschullehrer; Gymnasiallehrer
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.
Gruber, Johann Daniel | 1688–1748 | Jurist; Hofrat; Bibliothekar; Historiker
Gallwitz, Hans | 1896–1958 | Geologe; Paläontologe
LASH Abt. 268 Nr. 26: Präsenz der Domherren zu Lübeck
Bei der Filmaufnahme ungefähr aus dem Jahr 1948 handelt es sich um einen von mehreren privaten Filmen der Familie Klaetsch, in denen Alltagsszenen und inszenierte Geschichten durch die Familie geplant und aufgenommen wurden. Der Film zeigt den Alltag und Tagesablauf der Familie Klaetsch vom morgendlichen Aufstehen bis zum Mittag. Dabei erhält man Einblick in das Haus und die Inneneinrichtung der Wohnung im Ackerweg der Gartenstadt Halle (Saale). Zudem wird das Verhältnis zwischen Kindern und Eltern im Alltag deutlich. Thematisch werden Körperpflege, Mahlzeiten, Haushaltstätigkeiten, Heizen sowie Reinigungsarbeiten bearbeitet. Der Schwarzweiß-Stummfilm hat eine Länge von 5:52 Minuten.
LASH Abt. 268 Nr. 412: Protocollum causarum capitularium ecclesie Lubicensis
Cellarius, Christoph | 1638–1707 | Historiker; Klassischer Philologe; Orientalist; Gymnasiallehrer; Hochschullehrer
Gerike, Peter | 1693–1750 | Anatom; Arzt; Chemiker; Hochschullehrer; Leibarzt; Hofrat; Selbstverleger
Genzmer, Alfred | 1851–1912 | Chirurg; Hochschullehrer
Bei der Filmaufnahme von ca. 1949 handelt es sich um einen von mehreren privaten Filmen der Familie Klaetsch, in denen Alltagsszenen und inszenierte Geschichten durch die Familie geplant und aufgenommen wurden. Der Film zeigt eine Inszenierung des Märchens „Hänsel und Gretel“, das im Garten des Ackerwegs in der Gartenstadt Halle (Saale) aufgenommen wurde. Die Töchter sowie ein Junge spielen das Märchen verkleidet in verschiedenen Szenen und unter Einsatz von filmischer Tricktechnik. Es handelt sich um einen Farbfilm ohne Ton. Der Film besitzt eine Länge von 2:48 Minuten. Das Entstehungsjahr wurde nach dem Alter der Kinder geschätzt.
Falke, Friedrich | 1871–1948 | Agrarwissenschaftler; Hochschullehrer
Bumm, Ernst | 1858–1925 | Arzt; Gynäkologe; Naturwissenschaftler
Duncker, Maximilian Wolfgang | 1811–1886 | Historiker; Archivar; Hochschullehrer; Politiker
Erdmann, Ernst | 1857–1925 | Chemiker; Hochschullehrer
Zeitraum: Gesamtlaufzeit 1713 - 1756, vermutlich die späteren Jahre davon
LASA, A 14, Nr. 263, Bd. III: Vom König erteilte Expektanzen und Kollationspatente
LASH Abt. 268 Nr. 438: Protokollum rev. capituli Lubicensis: Band 35
Bei der Filmaufnahme um das Jahr 1941/42 handelt es sich um einen von mehreren privaten Filmen der Familie Klaetsch, in denen Alltagsszenen und inszenierte Geschichten durch die Familie geplant und aufgenommen wurden. Der Film inszeniert das Märchen „Aschenbrödel“. Er spielt in großen Teilen in der Moritzburg Halle (Saale) und zeigt wichtige Szenen des bekannten Märchens. Dabei handelt es sich um einen der wenigen Farbfilme. Leider bleibt die Qualität des Films mit einer Länge von 3:10 Minuten aber minderwertig.
Alverdes, Friedrich | 1889–1952 | Zoologe
LASA, A 14, Nr. 409: Von dem Freiherrn von Galen an den Freiherrn Korf, genannt Schneising resignierte Elektenpräbende
Carrach, Johann Philipp von | 1730–1769 | Jurist
LASH Abt. 268 Nr. 443: Protokollum rev. capituli Lubicensis: Band 40
Behmann, Heinrich | 1891–1970 | Mathematiker; Logiker; Hochschullehrer
LASH Abt. 268 Nr. 433: Protokollum rev. capituli Lubicensis: Band 30
Alverdes, Kurt | 1896–1959 | Arzt; Militärarzt; Hochschullehrer
Gruner, Johann Friedrich | 1723–1778 | Theologe; Pädagoge; Historiker
Balthasar, Karl | 1868–1937 | Pfarrer; Organist; Lehrer
Beer, Georg | 1865–1946 | Evangelischer Theologe; Orientalist; Hochschullehrer
Fischer, Friedrich Christoph Jonathan | 1750–1797 | Staatsrechtslehrer; Jurist; Publizist; Historiker
Doetsch, Gustav | 1892–1977 | Mathematiker; Hochschullehrer; Offizier
LASH Abt. 268 Nr. 444: Protokollum rev. capituli Lubicensis: Band 41
Gerstenberg, Kurt | 1886–1968 | Kunsthistoriker; Hochschullehrer
Delling, Gerhard | 1905–1986 | Theologe; Hochschullehrer
LASA, A 15, Da 16, Nr. 1391: Unvorsichtige Entleibung des Hans Pinecken, Backmeister zu Diesdorf, mit einem Dolche durch den Diesdorfer Propst Christoph von der Schulenburg
Graßmann, Hermann | 1857–1922 | Mathematiker; Gymnasiallehrer
LASA, A 14, Nr. 246: Verschiedene alte und neue Präbendensachen. Primariae preces für den Markgrafen Georg Albrecht von Bayreuth; Provisionen für Blumenthal, Kannenberg, Graf von der Lippe, Marschall, Diepenbroich und Ripperda
Ewald, Albert Ludwig | 1832–1903 | Historiker; Forstwissenschaftler
LASH Abt. 268 Nr. 451: Protokollum rev. capituli Lubicensis: Band 48
Böhmer, Johann Samuel Friedrich von | 1704–1772 | Jurist; Hochschullehrer
Dörries, Hermann | 1895–1977 | Kirchenhistoriker; Theologe; Hochschullehrer
LASH Abt. 268 Nr. 421: Protokollum rev. capituli Lubicensis
Berger, Arnold Erich | 1862–1948 | Philologe; Germanist
LASA, A 14, Nr. 301: Resignation der Minorpräbende des Herrn August Friedrich von der Asseburg
Ahrens, Walther | 1910–1981 | Mikrobiologe; Arzt
LASA, A 14, Nr. 282: Resignation der Majorpräbende des Obristen von Schlieben
Grunke, Wilhelm | 1895–1975 | Arzt; Internist; Hochschullehrer
LASA, A 14, Nr. 249: Die dem Herzog Philipp Ernst konferierte Gräflich Lippische Präbende und deren Zession an den Herrn von Planitz
Frauendienst, Werner | 1901–1966 | Historiker; Hochschullehrer
Schneider, Johann Friedemann | 1669–1733 | Jurist; Philosoph; Hochschullehrer
Schneider, Max | 1875–1967 | Musikwissenschaftler; Hochschullehrer; Kapellmeister; Dirigent
Scholder, Rudolf | 1896–1973 | Chemiker; Hochschullehrer
Schrader, Gerhard | 1900–1949 | Hochschullehrer; Arzt; Rechtsmediziner
Schranil, Rudolf | 1885–1956 | Jurist; Hochschullehrer
Schneidewind, Wilhelm | 1860–1931 | Chemiker; Agrarwissenschaftler; Agrikulturchemiker
Schnell, Walter | 1891–1960 | Arzt; Militärarzt; Hochschullehrer
Schniewind, Julius | 1883–1948 | Neutestamentler; Evangelischer Theologe; Militärgeistlicher; Propst; Hochschullehrer
Schomerus, Hilko Wiardo | 1879–1945 | Evangelischer Theologe; Pfarrer; Missionar; Hochschullehrer
Schollmeyer, Friedrich | 1848–1914 | Jurist
Schubart, Christoph Andreas | 1663–1723 | Jurist
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
Schuchardt, Hugo | 1842–1927 | Philologe; Romanist; Linguist; Hochschullehrer
Schubart-Fikentscher, Gertrud | 1896–1985 | Historikerin; Jurist
Schütz, Friedrich Karl Julius | 1779–1844 | Schriftsteller; Historiker; Philosoph; Hochschullehrer; Schauspieler; Theaterdirektor
Schürmann, Walter | 1880–1974 | Bakteriologe; Arzt; Dozent
Seeberg, Erich | 1888–1945 | Evangelischer Theologe; Kirchenhistoriker; Neutestamentler; Militärgeistlicher; Hochschullehrer
Scupin, Hans | 1869–1937 | Geologe; Mineraloge; Hochschullehrer
Seiser, Adolf | 1891–1971 | Bakteriologe; Arzt; Militärarzt; Hochschullehrer; Hygiene
Sellheim, Hugo | 1871–1936 | Gynäkologe; Hochschullehrer
Serauky, Walter | 1903–1959 | Musikwissenschaftler; Hochschullehrer; Herausgeber
Siebeck, Hermann | 1842–1920 | Philosoph; Hochschullehrer
Siefert, Ernst | 1874–1940 | Arzt; Rechtsmediziner; Schiffsarzt; Militärarzt; Hochschullehrer
Siegert, Ferdinand | 1865–1946 | Arzt; Kinderarzt
Schultze, Friedrich Emil Otto | 1872–1950 | Pädagoge; Psychologe; Philosoph
Schulz, Arthur | 1867– | Rechtsmediziner; Arzt; Hochschullehrer
Schulz, August | 1862–1922 | Botaniker; Arzt; Hochschullehrer
Schulz, Walther | 1887–1982 | Prähistoriker; Hochschullehrer; Museumsdirektor; Kurator <Museumskunde>
Schulze, Heinrich | 1874–1926 | Chemiker; Apotheker; Hochschullehrer
Schulze, Johann Heinrich | 1687–1744 | Arzt; Hochschullehrer; Polyhistor; Historiker; Chemiker; Numismatiker; Philologe
Schulze, Johann Ludwig | 1734–1799 | Orientalist; Evangelischer Theologe; Philologe; Hochschullehrer; Direktor
Schumann, Friedrich Karl | 1886–1960 | Evangelischer Theologe; Pfarrer; Militärgeistlicher; Hochschullehrer
Schwartz, Johann Christoph | 1846–1915 | Jurist
Schwarz, Georg | 1896–1979 | Agrarwissenschaftler; Hochschullehrer
Schwarz, Emil | 1852– | Arzt; Gynäkologe
Schwinge, Erich | 1903–1994 | Jurist; Richter; Strafverteidiger; Beisitzer; Schriftsteller; Hochschullehrer
Schwarz, Hermann | 1864–1951 | Philosoph; Schriftsteller; Nationalsozialist
Schöttler, Hans | 1861–1945 | Evangelischer Theologe; Pfarrer; Militärgeistlicher; Generalsuperintendent
Schöne, Richard | 1840–1922 | Archäologe; Philologe
Schütz, Christian Gottfried | 1747–1832 | Philologe; Literarhistoriker; Hochschullehrer
Schürer, Oskar | 1892–1949 | Kunsthistoriker; Schriftsteller; Lyriker; Hochschullehrer
Seeligmüller, Otto Ludwig A... | 1837–1912 | Arzt; Neurologe
Seel, Hans | 1898–1961 | Arzt; Pharmakologe; Sanitäter; Hochschullehrer
Segner, Johann Andreas von | 1704–1777 | Naturwissenschaftler; Mathematiker; Physiker; Astronom; Erfinder; Geheimer Rat; Arzt
Seifert, Hans Julius Karl | 1893–1976 | Mineraloge
Semler, Johann Salomo | 1725–1791 | Evangelischer Theologe; Alchemist; Schriftsteller; Philologe
Sellius, Godefroy | 1704–1767 | Jurist; Hofrat; Naturwissenschaftler; Übersetzer
Siedentop, Irmfried | 1902–1995 | Geograf; Meteorologe; Dozent
Siebert, Wolfgang | 1905–1959 | Jurist; Gerichtsassessor; Hochschullehrer
Siemens, Wilhelm | 1897–1959 | Arzt; Chirurg
Sievers, Eduard | 1850–1932 | Germanist; Linguist; Mediävist; Hochschullehrer; Germanist
Sierp, Hermann | 1885–1958 | Botaniker; Hochschullehrer
Simon, Johann Georg | 1636–1696 | Jurist
Smend, Rudolf | 1851–1913 | Alttestamentler; Theologe; Semitist
Smekal, Adolf | 1895–1959 | Physiker; Hochschullehrer
Sobernheim, Georg | 1865–1963 | Bakteriologe
Solms-Laubach, Hermann zu | 1842–1915 | Botaniker; Hochschullehrer
Solger, Bernhard Friedrich | 1849–1935 | Arzt
Sowade, Johann | 1878–1944 | Hautarzt; Arzt; Militärarzt; Hochschullehrer
Sommerlad, Theo | 1869–1940 | Historiker; Wirtschaftswissenschaftler; Hochschullehrer
Specht, Franz | 1888–1949 | Linguist; Lehrer; Studienrat; Hochschullehrer
Sperlette de Montguyon, Bartholomäus Johann
Spener, Jacob Carl | 1684–1730 | Jurist; Historiker; Hochschullehrer
Sperlette, Johann | 1661–1724 | Philosoph
Sprengel, Matthias Christian | 1746–1803 | Historiker; Bibliothekar; Geograf; Indologe; Ethnologe; Philosoph; Polyhistor
Sprengel, Kurt | 1766–1833 | Arzt; Botaniker; Hochschullehrer; Übersetzer
Springmeyer, Heinrich | 1897–1971 | Philosoph
Stahl, Georg Ernst | 1659–1734 | Arzt; Chemiker; Hochschullehrer; Leibarzt
Steck, Johann Christoph Wilhelm von | 1730–1797 | Jurist; Diplomat; Schriftsteller
Stauffer, Ethelbert | 1902–1979 | Neutestamentler; Theologe; Numismatiker; Vikar; Hochschullehrer
Stange, Carl | 1870–1959 | Lutherischer Theologe
Steffens, Henrik | 1773–1845 | Naturwissenschaftler; Philosoph; Schriftsteller; Hochschullehrer
Steltzer, Christian Julius Ludwig | 1758–1831 | Jurist
Stein, Karl Heinrich von | 1857–1887 | Philosoph; Schauspieler; Herausgeber
Steinbrück, Karl | 1869–1932 | Agrarwissenschaftler; Politiker; Hochschullehrer
Steinhart, Karl Heinrich August | 1801–1872 | Philologe; Philosoph; Pädagoge; Politiker
Stenzel, Julius | 1883–1935 | Philosoph; Klassischer Philologe; Lehrer; Hochschullehrer
Stäckel, Paul | 1862–1919 | Mathematiker
Tartler, Georg | 1899–1976 | Arzt; Hochschullehrer; Rektor
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. 260 Nr. 2130: Regierung Eutin: Differenzen wegen Ausnahmebewilligungen (Dispensationsdifferentien) mit dem Domkapitel zu Lübeck in durch göttliches Gesetz vorgeschriebenen Schritten (in gradibus lege divina haut prohibitis)
LASH Abt. 268 Nr. 15: Distinktpräbende des Gesandten in Regensburg, Konferenzrat von Koch
LASH Abt. 260 Nr. 47: Verhandlungen wegen der beabsichtigten Besitznehmung des Bistums Lübeck durch den Prinzen Carl von Dänemark nach dem Tode des Bischofs Christian August
Eißfeldt, Otto | 1887–1973 | Religionswissenschaftler; Evangelischer Theologe; Hochschullehrer; Alttestamentler
LASH Abt. 268 Nr. 436: Protokollum rev. capituli Lubicensis: Band 33
LASA, A 14, Nr. 129: Mit dem Domkapitel zu Hildesheim geführte Korrespondenz in puncto der neuen Stiftsverfassung
LASA, A 14, Nr. 291: Majorpräbende des Herrn von Hertefeld
LASA, A 13, Nr. 1135, Die in mense capituli vakant gewordenen Präbenden bei dem Domstift zu Halberstadt
Gutzeit, Ernst | 1863–1927 | Agrarwissenschaftler; Hochschullehrer; Lebensmittelchemiker
Freudl, E. | 1875–1951 | Landwirt; Pflanzenzüchter; Agrarwissenschaftler
Abderhalden, Emil | 1877–1950 | Chemiker; Biologe; Physiologe; Biochemiker; Hochschullehrer
Eltzbacher, Paul | 1868–1928 | Jurist; Volkswirt; Sozialwissenschaftler
Collitz, Hermann | 1855–1935 | Linguist; Germanist; Philologe
Fries, Wilhelm | 1845–1928 | Pädagoge; Latinist; Hochschullehrer; Schulleiter; Gymnasiallehrer
LASA, A 14, Nr. 283: Zwischen dem Domdechanten von Busch und Senior von Leerodt entstandene Streitigkeit wegen der Senioratrevenuen
Achelis, Hans | 1865–1937 | Kirchenhistoriker; Archäologe; Theologe
LASA, A 14, Nr. 279: Legitimation des Grafen von Wartenberg und Aszension des Herrn von Wylich
Dabelow, Christoph Christian von | 1768–1830 | Jurist; Hochschullehrer
Gutzmer, August | 1860–1924 | Mathematiker; Hochschullehrer; Rektor
Das Domkapitel zu Lübeck, insbesondere Nachrichten über die Bischofswahl, die Prälatur der Herzöge zu Holstein und die Dekanatskapitulation
LASH Abt. 260 Nr. 7: Das Domkapitel zu Lübeck, insbesondere Nachrichten über die Bischofswahl, die Prälatur der Herzöge zu Holstein und die Dekanatskapitulation
LASH Abt. 260 Nr. 18: Wahl des Herzogs Christian August zum Koadjutor und künftigen Bischof im Hochstift Lübeck
LASH Abt. 260 Nr. 2129: Regierung Eutin: Wahl des Dechanten von 1712
LASH Abt. 260 Nr. 2120: Regierung Eutin: Lübsche Dompropsten
LASA, U 5, XVI Nr. 41: (Domkapitel zu Halberstadt)
Frese, Otto | 1871–1955 | Arzt; Schiffsarzt; Militärarzt; Hochschullehrer
LASH Abt. 260 Nr. 22: Stiftsregierung in Abwesenheit des Bischofs Adolph Friedrich im Hochstift Lübeck
Ebbinghaus, Hermann | 1850–1909 | Psychologe; Philosoph; Hochschullehrer
Freyberg, Bruno von | 1894–1981 | Geologe; Paläontologe; Wissenschaftshistoriker; Hochschullehrer
Grenacher, Hermann | 1843–1923 | Zoologe
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.
Büchner, Andreas Elias | 1701–1769 | Arzt; Physiker; Hochschullehrer
Grouven, Karl | 1872–1936 | Arzt; Hautarzt; Militärarzt; Hochschullehrer
Droysen, Gustav | 1838–1908 | Historiker; Hochschullehrer
LASH Abt. 268 Nr. 432: Protokollum rev. capituli Lubicensis: Band 29
LASH Abt. 268 Nr. 542: Chronologischer Index zu den Bänden 35-42 des Kapitels-Protokolle (Nr. 438-445)
Grimm, Wilhelm | 1786–1859 | Philologe; Germanist; Schriftsteller; Jurist; Bibliothekar; Literaturwissenschaftler
Fitting, Hermann | 1831–1918 | Jurist; Hochschullehrer
Aner, Karl | 1879–1933 | Theologe; Hochschullehrer; Pfarrer
Grasshoff, Kurt | 1911– | Lehrbeauftragter
Zeitraum: Gesamtlaufzeit 1713 - 1756 , vermutlich die ersten Jahre davon
LASA, A 14, Nr. 263, Bd. I: Vom König erteilte Expektanzen und Kollationspatente
Brachmann, Wilhelm | 1900–1989 | Evangelischer Theologe; Religionswissenschaftler; Pfarrer; Nationalsozialist
Gebhardt, Walter | 1870–1918 | Arzt; Anatom
Eger, Karl | 1864–1945 | Evangelischer Theologe; Pfarrer; Kirchenrat; Hochschullehrer
Dehn, Günther | 1882–1970 | Evangelischer Theologe; Exeget; Hochschullehrer
LASH Abt. 268 Nr. 541: Chronologischer Index zu den Bänden 22-34 des Kapitels-Protokolle (Nr. 425-437)
LASH Abt. 268 Nr. 419: Protokollum rev. capituli Lubicensis
LASA, A 14, Nr. 260: Aszension des Herrn von Buchholz und was ratione saltus nach dem Vergleich von 1662 und 1675 dabei vorgekommen
Brauns, David | 1827–1893 | Geologe; Arzt; Schriftsteller; Forschungsreisender
LASH Abt. 268 Nr. 410: Protocollum causarum capitularium ecclesie Lubicensis
LASH Abt. 268 Nr. 31: Abwesenheits-Anzeigen von Domherren zu Lübeck
Gericke, Wolfgang | 1914–1993 | Pfarrer; Evangelischer Theologe; Kirchenhistoriker
Gloege, Gerhard | 1901–1970 | Theologe; Priester
LASH Abt. 268 Nr. 39: Domherrenverzeichnisse
Franz, Karl | 1870–1926 | Arzt; Gynäkologe; Redakteur
LASA, A 14, Nr. 257: Vom König konferierte Präbenden und Kollationspatente
LASA, A 14, Nr. 247: Emanzipations- und Possessionsscheine
Eickschen, Karl | 1901–1958 | Geschäftsführer; Betriebswirt; Landwirt; Lehrer; Hochschullehrer
Bonnet, Hans | 1887–1972 | Ägyptologe; Hochschullehrer
Bergener, Johann Carl Erdmann | 1770–1813 | Arzt
Dittenberger, Wilhelm | 1840–1906 | Klassischer Philologe
Cassebohm, Johann Friedrich | 1700–1743 | Arzt
Brückner, Eduard | 1862–1927 | Geograf; Klimatologe; Hochschullehrer; Geologe; Mineraloge
Boeminghaus, Hans | 1893–1979 | Urologe; Arzt; Chirurg; Hochschullehrer
LASA, A 14, Nr. 110: Alter der Herren Präbendaten, deren Qualifikation, und ob sie wider ihren Willen angehalten werden können, possesionem fructi feram anzutreten
Löwe, Hans | 1903–1989 | Landwirt; Tierzüchter
Messerschmidt, Wilhelm | 1906–1975 | Physiker
Liepe, Wolfgang | 1888–1962 | Theaterwissenschaftler; Germanist; Dramaturg; Hochschullehrer
Konopak, Christian Gottlieb | 1767–1841 | Jurist
Kok, Friedrich | 1890–1952 | Arzt; Gynäkologe; Militärarzt; Hochschullehrer
Liepmann, Moritz | 1869–1928 | Jurist; Hochschullehrer; Richter
Kromayer, Ernst | 1862–1933 | Arzt; Hautarzt; Hochschullehrer
Krause, Fedor | 1857–1937 | Arzt; Chirurg
Kohlmeyer, Ernst | 1882–1959 | Evangelischer Theologe; Hochschullehrer; Kirchenhistoriker; Pfarrer; Militärgeistlicher
Kohlschütter, Ernst | 1837–1905 | Arzt; Hochschullehrer; Kommunalpolitiker
Krause, Johann Christoph | 1749–1799 | Philosoph; Historiker
Krüger, Johann Gottlob | 1715–1759 | Arzt
Koeppe, Leonhard | 1884–1969 | Augenarzt; Hochschullehrer
Körner, Hans | 1862–1929 | Zahnarzt; Militärarzt; Hochschullehrer
Kruse, Friedrich | 1790–1866 | Historiker; Geograf; Lehrer
Lang, August | 1867–1945 | Pfarrer; Evangelischer Theologe; Kirchenhistoriker; Seelsorger; Superintendent
Lindemann, Walter | 1886–1940 | Arzt; Gynäkologe; Militärarzt; Hochschullehrer
Laqueur, Ernst | 1880–1947 | Pharmakologe; Physiologe; Hochschullehrer
Lesser, Ernst | 1879–1928 | Physiologe; Internist; Biochemiker
Köstlin, Julius | 1826–1902 | Evangelischer Theologe
Kraske, Paul | 1851–1930 | Arzt; Chirurg; Hochschullehrer
Lieser, Theodor | 1900–1973 | Hochschullehrer
Leser, Edmund | 1853–1916 | Arzt; Chirurg
Lindrath, Hermann | 1896–1960 | Bundesminister; Politiker; Bankkaufmann; Staatswissenschaftler; Hochschullehrer
Lippmann, Edmund von | 1857–1940 | Unternehmer; Chemiker; Wissenschaftshistoriker
Leuze, Oscar | 1874–1934 | Althistoriker; Lehrer; Evangelischer Theologe; Hochschullehrer
Liszt, Franz von | 1851–1919 | Jurist; Hochschullehrer; Politiker; Ritter
Linnert, Gerhard | 1888–1948 | Gynäkologe; Militärarzt; Privatdozent
Lintzel, Martin | 1901–1955 | Historiker; Hochschullehrer
Hölscher, Gustav | 1877–1955 | Theologe; Alttestamentler; Philologe; Hochschullehrer
Hollander, Heinrich von | 1853–1920 | Jurist; Hochschullehrer; Rechtsanwalt
Härtel, Fritz | 1877–1940 | Chirurg; Arzt; Hochschullehrer; Schiffsarzt; Militärarzt
Hoffmann, Walter | 1891–1972 | Wirtschaftswissenschaftler
Holdefleiß, Friedrich Wilhelm | 1846–1919 | Agrikulturchemiker; Chemiker; Hochschullehrer; Landwirt
Hultzsch, Eugen | 1857–1927 | Indologe; Philologe; Epigraphiker; Hochschullehrer
Holdefleiß, Paul | 1865–1940 | Agrarwissenschaftler; Hochschullehrer
Hoffmann-Kutschke, Artur | 1882– | Schriftsteller
Hoffmeister, Johannes | 1894–1974 | Meteorologe
Husserl, Edmund | 1859–1938 | Philosoph; Hochschullehrer
Horsters, Hans | 1887–1957 | Arzt; Hochschullehrer
Huber, Eugen | 1849–1923 | Jurist; Hochschullehrer
Holländer, Ludwig Heinrich | 1833–1897 | Arzt; Zahnarzt
Holtzmann, Robert | 1873–1946 | Historiker; Hochschullehrer
Hübner, Rudolf | 1864–1945 | Jurist; Hochschullehrer
Hoffmann, Reinhold | 1885– | Agrarwissenschaftler
Hollmann, Georg | 1873–1946 | Theologe; Philosoph
Hoffmann, Gerhard | 1880–1945 | Physiker
Hoffmann, Walther | 1910–1974 | Agrarwissenschaftler
Jacobi, Johann Georg | 1740–1814 | Schriftsteller; Philosoph; Hochschullehrer; Dramatiker
Jacobi, Justus Ludwig | 1815–1888 | Kirchenhistoriker; Evangelischer Theologe; Hochschullehrer
Juncker, Friedrich Christian | 1730–1770 | Arzt
Juncker, Johann | 1679–1759 | Arzt; Chemiker; Hochschullehrer; Hofrat
Jaensch, Erich Rudolf | 1883–1940 | Philosoph; Psychologe
Hülse, Walter | 1887– | Arzt; Hochschullehrer
Igersheimer, Josef | 1879–1965 | Augenarzt
Ihm, Max | 1863–1909 | Klassischer Philologe
Jakob, Ludwig Heinrich von | 1759–1827 | Staatswissenschaftler; Wirtschaftswissenschaftler; Soziologe; Philosoph
Jahn, Georg | 1885–1962 | Wirtschaftswissenschaftler; Philosoph; Soziologe; Redakteur; Publizist; Syndikusanwalt; Hochschullehrer
Japha, Arnold | 1877–1943 | Arzt; Anthropologe; Zoologe; Militärarzt; Schiffsarzt; Hochschullehrer
Isele, Hellmut Georg | 1902–1987 | Jurist; Hochschullehrer
Jantzen, Hans | 1881–1967 | Kunsthistoriker; Hochschullehrer
Isenbeck, Karl | 1904–1945 | Botaniker; Pflanzenbau
Jecht, Horst | 1901–1965 | Volkswirt; Hochschullehrer
Juncker, Johann Christian Wilhelm | 1761–1800 | Arzt
Joachim, Johann Friedrich | 1713–1767 | Historiker; Jurist; Publizist
Jirku, Anton | 1885–1972 | Alttestamentler; Religionswissenschaftler; Hochschullehrer
Jung, Heinrich W. E. | 1876–1953 | Mathematiker; Hochschullehrer
Jordan, Rudolf | 1902–1988 | Politiker; Gauleiter; Reichsstatthalter; Lehrer
Jahn, Wilhelm | 1873–[XXXX] | Orientalist; Dozent
Jahn, Martin | 1888–1974 | Historiker; Prähistoriker
Jensen, Paul | 1868–1952 | Physiologe; Arzt
Jahn, Kurt | 1873–1915 | Literarhistoriker
Hackemann, Friedrich August | 1670–1742 | Jurist; Hochschullehrer; Bibliothekar
Kauffmann, Max | 1871–1923 | Psychiater; Neurologe; Arzt; Jurist; Hochschullehrer
Haasler, Fritz | 1863–1948 | Arzt; Chirurg; Hochschullehrer; Militärarzt
Haase, Ernst | 1871–1959 | Pädagoge; Mineraloge; Lehrer; Mathematiklehrer
Haecker, Valentin | 1864–1927 | Zoologe; Genetiker; Hochschullehrer
Jolly, Philipp | 1860–1932 | Arzt; Neurologe; Schiffsarzt; Militärarzt
Hadermann, Ernst | 1896–1968 | Germanist; Literarhistoriker
Joerges, Rudolf | 1868–1957 | Jurist; Hochschullehrer
Hamann-Mac Lean, Richard | 1908–2000 | Kunsthistoriker; Hochschullehrer; Sachverständiger
Hartung, Fritz | 1884–1973 | Jurist; Hochschullehrer; Richter; Beisitzer
Heinroth, Hans | 1895–1983 | Zahnarzt; Arzt; Hochschullehrer
Haring, Wilhelm | 1900–1975 | Arzt; Internist; Hochschullehrer
Hanson, Horst | 1911–1978 | Biochemiker; Hochschullehrer
Keller, Ott-Heinrich | 1906–1990 | Mathematiker
Hempel, Johannes | 1891–1964 | Evangelischer Theologe; Alttestamentler; Religionswissenschaftler; Militärgeistlicher; Hochschullehrer; Pfarrer
Herbst, Wilhelm | 1825–1882 | Pädagoge; Schriftsteller; Klassischer Philologe; Schulleiter; Historiker
Hertz, Friedrich | 1878–1964 | Soziologe; Historiker; Ministerialrat; Hochschullehrer
Herff, Otto von | 1856–1916 | Arzt; Hochschullehrer; Gynäkologe; Arzt
Heselhaus, Clemens | 1912–2000 | Germanist; Literaturwissenschaftler
Heinroth, Otto | 1892–1961 | Arzt; Zahnarzt; Autor; Hochschullehrer
Hanle, Wilhelm | 1901–1993 | Physiker; Hochschullehrer
Haloun, Gustav | 1898–1951 | Sinologe; Hochschullehrer
Hehlmann, Wilhelm | 1901–1997 | Pädagoge; Psychologe; Lehrer; Regierungsrat; Hochschullehrer
Haußleiter, Gottlob | 1857–1934 | Theologe; Pfarrer; Vikar; Lehrer; Hochschullehrer
Haußleiter, Otto | 1896–1982 | Staatswissenschaftler; Jurist; Ministerialrat; Hochschullehrer
Haym, Rudolf | 1821–1901 | Philosoph; Politiker; Literarhistoriker; Hochschullehrer; Publizist
Hausen, Carl Renatus | 1740–1805 | Historiker; Bibliothekar; Hochschullehrer
Hauptmann, Alfred | 1881–1948 | Arzt; Psychiater; Militärarzt; Hochschullehrer
Haupt, Erich | 1841–1910 | Theologe; Lehrer; Gymnasiallehrer
Heinemann, Lothar von | 1859–1901 | Historiker; Hochschullehrer
Hering, Hermann | 1838–1920 | Evangelischer Theologe; Konsistorialrat; Krankenpfleger; Diakon; Archidiakon; Prediger; Superintendent; Hochschullehrer
Heineccius, Johann Gottlieb | 1681–1741 | Jurist; Hochschullehrer
Heinzelmann, Gerhard | 1884–1951 | Lutherischer Theologe; Pfarrer; Hochschullehrer
Heintz, Wilhelm Heinrich | 1817–1880 | Chemiker; Hochschullehrer; Apotheker
Heim, Karl | 1874–1958 | Evangelischer Theologe; Hochschullehrer; Philosoph
Heidenhain, Rudolf | 1834–1897 | Arzt; Physiologe
Heck, Philipp | 1858–1943 | Jurist; Hochschullehrer
Heilbronner, Karl | 1869–1914 | Psychiater
Herrnschmidt, Johann Daniel | 1675–1723 | Evangelischer Theologe; Hochschullehrer; Pfarrer; Superintendent; Hofprediger; Kirchenlieddichter; Schulleiter
Hasenclever, Adolf | 1875–1938 | Historiker; Ägyptologe; Volkswirt; Soldat; Hochschullehrer
Martin-Luther-Universität Halle-Wittenberg
Hertwig, Paula | 1889–1983 | Biologin; Zoologin; Genetikerin
Hermberg, Paul | 1888–1969 | Soziologe; Hochschullehrer; Statistiker; Volkswirt
Hartung, Fritz | 1883–1967 | Historiker; Jurist; Ministerialrat; Hochschullehrer
Hein, Wolfgang | 1883–1976 | Jurist; Beisitzer; Hochschullehrer
Hasse, Helmut | 1898–1979 | Mathematiker; Hochschullehrer; Astronom
Heimann, Betty | 1888–1961 | Indologin; Hochschullehrerin
Heine, Eduard | 1821–1881 | Mathematiker
Heuckenkamp, Ferdinand | 1862–1938 | Romanist; Philologe
Herweg, Julius | 1879–1936 | Physiker; Hochschullehrer; Adjutant
Heisler, Philipp Jakob | 1718–1781 | Jurist
Harnack, Erich | 1852–1915 | Arzt; Pharmakologe; Chemiker
Heldmann, Karl | 1869–1943 | Historiker; Hochschullehrer
Herre, Wolf | 1909–1997 | Zoologe; Hochschullehrer
Hesse, Albert | 1876–1965 | Jurist; Volkswirt
Harms, Helmut | 1912–2011 | Naturwissenschaftler
Hilkenbäumer, Friedrich | 1909–1976 | Agrarwissenschaftler; Gärtner
Hildebrand, Karl | 1873– | Wirtschaftswissenschaftler
Heynemann, Theodor | 1878–1951 | Arzt; Gynäkologe
Heydemann, Heinrich | 1842–1890 | Archäologe
Hildebrandt, Hermann | 1866–1912-09 | Arzt
Hiller, Eduard | 1844–1891 | Klassischer Philologe
Henze, Alfred | 1872– | Naturwissenschaftler
Justi, Ludwig | 1876–1957 | Kunsthistoriker; Generaldirektor; Denkmalpfleger; Geheimer Rat; Kurator <Museumskunde>
Kahle, Paul | 1875–1964 | Evangelischer Theologe; Semitist; Orientalist; Pfarrer
Kampffmeyer, Georg | 1864–1936 | Orientalist; Arabist; Philologe
Kaehler, Siegfried A. | 1885–1963 | Historiker; Hochschullehrer
Karo, Georg | 1872–1963 | Archäologe; Denkmalpfleger; Hochschullehrer
Justi, Karl | 1873–1949 | Arzt; Pathologe; Tropenarzt; Heimatkundler
Kaltenbach, Rudolf | 1842–1893 | Gynäkologe
Jürgens, Enno | 1849–1907 | Mathematiker
Karsten, Wenceslaus Johann Gustav | 1732–1787 | Mathematiker; Hochschullehrer; Physiker
Kattenbusch, Ferdinand | 1851–1935 | Evangelischer Theologe; Hochschullehrer
Kauffmann, Friedrich | 1863–1941 | Germanist; Philologe
Kautzsch, Rudolf | 1868–1945 | Kunsthistoriker; Buchwissenschaftler
Karsten, George | 1863–1937 | Botaniker; Hochschullehrer
Keil, Heinrich | 1822–1894 | Philologe; Klassischer Philologe
Kast, Wilhelm | 1898–1980 | Physiker; Hochschullehrer
Kathe, Johannes | 1880–1965 | Arzt; Amtsarzt
Clemen, Carl Christian | 1865–1940 | Evangelischer Theologe; Hochschullehrer
LASH Abt. 268 Nr. 17: Besetzung in päpstlichen Monaten vakant werdender Präbenden (Menses papales)
Gros, Oskar | 1877–1947 | Pharmakologe; Chemiker; Hochschullehrer
Bartholomae, Christian | 1855–1925 | Iranist; Linguist; Orientalist
Barnikol, Ernst | 1892–1968 | Evangelischer Theologe; Kirchenhistoriker; Hochschullehrer
Eberth, Carl Joseph | 1835–1926 | Arzt; Pathologe; Anatom; Hochschullehrer
Eberhard, Johann August | 1738–1809 | Philosoph; Schriftsteller; Theologe; Lehrer; Pfarrer
Gemmingen, Hans Dieter von | 1902–1944-12 | Jurist
Bary, Anton de | 1831–1888 | Botaniker; Botaniker
Allesch, Gustav Johannes von | 1882–1967 | Psychologe; Philosoph; Hochschullehrer
LASH Abt. 268 Nr. 418: Protokollum rev. capituli Lubicensis
LASH Abt. 268 Nr. 413: Protocollum causarum capitularium ecclesie Lubicensis
LASA, A 14, Nr. 262: Die von dem von Haren auf Johann Friedrich von Münchhausen resignierte Minorpräbende
Burmeister, Hermann | 1807–1892 | Forschungsreisender; Entomologe; Naturwissenschaftler; Zoologe; Arzt; Lehrer
Abderhalden, Rudolf | 1910–1965 | Physiologe; Pathologe
LASA, A 14, U 8a, von Neindorff Nr. 243a: Das Domkapitel zu Halberstadt überträgt dem Henning Leopold von Neindorf die von Jasper von Buchwald resignierte Präbende.
Brunnenmeister, Emil | 1854–1896 | Jurist
LASA, A 14, Nr. 252: Die evangelischen Domherrn, desgleichen Advocatus Fisci als Intervenienten contra die katholischen Domherrn, in specie Herrn von Westerholt; in puncto einer von demselben per resignationem des von Schachten erhaltenen Präbende
Langlet, Joachim-Friedrich | 1906–1979 | Agrarwissenschaftler; Hochschullehrer
Levy, Hermann | 1881–1949 | Volkswirt; Schriftsteller; Staatswissenschaftler; Schriftsteller
Krahmer, Friedrich Ludwig | 1810–1893 | Pharmakologe
Kuhn, Oskar | 1908–1990 | Paläontologe; Geologe; Hochschullehrer; Schriftsteller
Küstner, Otto | 1849–1931 | Gynäkologe; Hochschullehrer; Arzt
Kraatz-Koschlau, Karl von | 1867–1900 | Geologe
Köppe, Johann Moritz | 1832–1879 | Psychiater
Krohn, August | 1840–1890 | Philosoph; Lehrer
Hinsche, Georg | 1888–1951 | Wissenschaftler; Geisteswissenschaftler; Naturwissenschaftler; Arzt; Zoologe; Biologe; Pädagoge; Lehrer; Hochschullehrer
Hoeßlin, Heinrich von | 1878–1955 | Arzt; Schiffsarzt; Internist; Militärarzt; Hochschullehrer
Hoffbauer, Johann Christoph | 1766–1827 | Philosoph; Jurist
Hippel, Arthur von | 1841–1916 | Arzt; Augenarzt
Hinrichs, Carl | 1900–1962 | Historiker; Archivar; Historiker
Henrici, Heinrich | 1673–1728 | Arzt; Hochschullehrer; Leibarzt
Hoffmann, Erich | 1868–1959 | Arzt; Hautarzt
Hett, Johannes | 1894–1986 | Arzt; Histologe; Hochschullehrer
Herzfeld, Hans | 1892–1982 | Historiker; Hochschullehrer
Hessler, Hugo | 1850–1920 | Arzt; Militärarzt
Hitzig, Eduard | 1838–1907 | Arzt; Psychiater
Hoffmann, Friedrich | 1660–1742 | Arzt; Chemiker; Hochschullehrer
Junghans, Philipp Caspar | 1738–1799 | Arzt; Botaniker; Hochschullehrer
Hartwich, Adolf | 1889– | Internist; Arzt; Militärarzt; Dozent
Hertz, Gustav | 1887–1975 | Physiker; Hochschullehrer
Haseloff, Arthur | 1872–1955 | Kunsthistoriker
Hense, Otto | 1845–1931 | Klassischer Philologe
Kemme, Johann Christlieb | 1738–1815 | Arzt; Bibliothekar
Kettler, Louis-Heinz | 1910–1976 | Pathologe; Arzt; Hochschullehrer
Kern, Otto | 1863–1942 | Philologe; Klassischer Philologe; Hochschullehrer; Bibliothekar
Kirchhoff, Alfred | 1838–1907 | Pädagoge; Geograf; Hochschullehrer
Kirchner, Wilhelm | 1848–1921 | Agrarwissenschaftler; Hochschullehrer
Kirsten, Ernst | 1911–1987 | Archäologe; Geograf; Althistoriker
Keyser, Paul | 1898–1960 | Pfarrer; Evangelischer Theologe
Friedberg, Robert | 1851–1920 | Politiker; Jurist
Franke, Walther | 1834–1903 | Arzt; Freimaurer
LASH Abt. 268 Nr. 448: Protokollum rev. capituli Lubicensis: Band 45
Griesbach, Johann Jacob | 1745–1812 | Evangelischer Theologe; Hochschullehrer; Publizist; Abgeordneter; Theologe
Gorten, Manfred L. | 1886–1952-08 | Arzt; Neurologe; Psychiater; Militärarzt
Dolch, Moritz | 1885–1931 | Chemiker; Hochschullehrer
Anderssen, Walther | 1882–1965 | Jurist; Hochschullehrer
Diehl, Karl | 1864–1943 | Volkswirt; Wirtschaftswissenschaftler; Staatswissenschaftler
Albrecht, Otto | 1855–1855 | Pfarrer; Evangelischer Theologe; Kirchenhistoriker
LASA, A 14, Nr. 287: Wappen und Namen der Domherren zu Halberstadt, wie solche von 1740 an in dem Stiftskalender gestanden haben
LASH Abt. 268 Nr. 425: Protokollum rev. capituli Lubicensis Band 22
Göhring, Martin | 1903–1968 | Historiker; Hochschullehrer
Goldschmidt, Adolph | 1863–1944 | Kunsthistoriker; Hochschullehrer
Fodor, Andor | 1884–1968 | Chemiker; Hochschullehrer
Friedländer, Paul | 1882–1968 | Philologe; Klassischer Philologe; Hochschullehrer
Elchlepp, Friedrich Wilhelm | 1897–1956 | Lehrer
Baumgarten, Alexander Gottlieb | 1714–1762 | Philosoph; Hochschullehrer
Grünfeld, Ernst | 1883–1938 | Wirtschaftswissenschaftler; Sozialwissenschaftler; Hochschullehrer
Frölich, Gustav | 1879–1940 | Agrarwissenschaftler; Hochschullehrer
LASH Abt. 268 Nr. 455: Manual-Protokolle
LASA, A 13, Nr. 1112: Verzeichnis der am 21.01.1636 im Kapitel gewesenen Domherrn, nebst Anzeige wie sie zu ihren Präbenden gekommen sind
Breithaupt, Joachim Just | 1658–1732 | Evangelischer Theologe; Pietist; Pfarrer; Hochschullehrer; Kirchenlieddichter; Generalsuperintendent
LASH Abt. 268 Nr. 32: Resignation von Kanonikaten
Alberti, Michael | 1682–1757 | Arzt; Philosoph; Hochschullehrer; Physiker; Schriftsteller
LASA, A 14, Nr. 271: In causa contra fiscum regium, wegen der Strafe für die Hüneckesche Prezistenpräbende
LASA, A 14, Nr. 303: Rang des Herrn von Byern vor den Herren von Bucholz und von Rochow
Clausen, Wilhelm | 1878–1961 | Augenarzt; Militärarzt; Hochschullehrer
Boeke, Hendrik Enno | 1881–1921 | Mineraloge
Drigalski, Wolf von | 1907–1943 | Arzt; Internist; Dozent
Schultze-Galléra, Siegmar von | 1865–1945 | Literarhistoriker; Germanist; Heimatkundler; Lehrer
Franke, Carl Christian Leberecht | 1796–1879 | Pfarrer; Evangelischer Theologe; Pädagoge; Superintendent; Hochschullehrer; Bibliothekar
Fassbender, Friedrich Wilhelm | 1893–1981 | Arzt
LASA, A 14, Nr. 127: Nachweisung vom Personalzustand des Domkapitels
Golf, Arthur | 1877–1941 | Tierzüchter; Agrarwissenschaftler
LASA, A 13, Nr. 1138: Die Elektenpräbenden
Dohna, Alexander zu | 1876–1944 | Jurist; Burggraf
Bei der Filmaufnahme von ca. 1947 handelt es sich um einen von mehreren privaten Filmen der Familie Klaetsch, in denen Alltagsszenen und inszenierte Geschichten durch die Familie geplant und aufgenommen wurden. Der Film zeigt die jüngste Tochter im Garten des Ackerwegs in der Gartenstadt Halle (Saale), die einen der reifen Äpfel erbittet. Es wird inszeniert, wie eine imaginierte Person und ein Vogel ihr die Bitte erfüllen. Der Schwarzweiß-Stummfilm besitzt eine Länge von 1:50 Minuten. Das Entstehungsjahr wurde nach dem Alter der Kinder geschätzt.
Eberhard, Victor | 1861–1927 | Mathematiker; Hochschullehrer
Altheim, Franz | 1898–1976 | Althistoriker
Der Film spielt zwischen dem 19. Juni und 23. Juni 1948. Er zeigt die Abreise der Familie mit der Straßenbahn in der südlichen Innenstadt Halle (Saale) (Diesterwegstraße) in den Urlaub sowie die Freundin Marianne an verschiedenen Haltestellen (Merseburg-Leuna), da sie gespielt die Abfahrt in die Sächsische Schweiz verpasst. Danach werden Urlaubsszenen der Familie eingefangen. In der Sächsischen Schweiz sieht man die Kinder beim Wandern, Spielen und Erholen. In einer gestellten Szene fällt ein Kind vom Berg und wird vom Vater aufgefangen. Verorten kann man die Stadt Wehlen und den Lichtenhainer Wasserfall. Der Film besitzt eine Länge von 5:41 Minuten.
LASA, A 14, Nr. 294: Aszension des Minorherrn von Byern bei des von Ende Absterben
Bramann, Fritz Gustav von | 1854–1913 | Arzt; Chirurg
Anschütz, August | 1826–1874 | Jurist; Hochschullehrer
Bühler, Ottmar | 1884–1965 | Jurist; Wirtschaftsjurist; Hochschullehrer
Beneke, Rudolf | 1861–1946 | Pathologe; Arzt; Hochschullehrer
Eisenhart, Hugo | 1811–1893 | Wirtschaftswissenschaftler; Staatswissenschaftler
Bauke, Hermann | 1886–1928 | Theologe; Pfarrer; Patristiker; Hochschullehrer
LASH Abt. 268 Nr. 423: Protokollum rev. capituli Lubicensis
Landesarchiv Schleswig-Holstein Abt. 260 Nr. 26
LASH Abt. 260 Nr. 26: Resignation des Prinzen Friedrich von Dänemark auf seine Koadjuterie und die Wahl des Prinzen Peter Friedrich Wilhelm zu Holstein-Gottorf zum Koadjutor im Hochstift Lübeck und dessen Kapitulation
LASH Abt. 260 Nr. 21: Wahl des Herzogs Adolph Friedrich zum Bischof im Hochstift Lübeck
Böhmer, Philipp Adolph | 1711–1789 | Arzt; Hochschullehrer; Leibarzt
Bode, Heinrich von | 1652–1720 | Jurist; Hochschullehrer; Konsistorialrat
LASH Abt. 268 Nr. 449: Protokollum rev. capituli Lubicensis: Band 46
LASA, A 14, Nr. 299: Vom König dem Grafen von Bentheim erteilte Anwartung zu einer Präbende
Guericke, Heinrich Ernst Ferdinand | 1803–1878 | Evangelischer Theologe; Kirchenhistoriker; Hochschullehrer
LASH Abt. 268 Nr. 424: Protokollum rev. capituli Lubicensis
Cornelius, Carl Sebastian | 1819–1896 | Physiker; Philosoph
LASH Abt. 268 Nr. 415: Protokollum rev. capituli Lubicensis
LASH Abt. 268 Nr. 434: Protokollum rev. capituli Lubicensis: Band 31
LASH Abt. 268 Nr. 457: Manual-Protokolle
Fischer, August | 1865–1949 | Orientalist; Hochschullehrer; Arabist; Philologe
LASA, A 14, Nr. 308: Beantwortung verschiedener, die Erbpräbende angehender Fragen
Geßner, Otto | 1895–1968 | Arzt; Pharmakologe
Krause, Johann Heinrich | 1800–1882 | Klassischer Philologe; Archäologe; Privatdozent
Lange, Johann Joachim | 1699–1765 | Mathematiker; Philosoph; Mineraloge
Lang, Richard | 1882–1935 | Geologe; Agrikulturchemiker; Bodenkundler; Hochschullehrer
Leo, Heinrich | 1799–1878 | Historiker; Politiker; Publizist; Germanist; Hochschullehrer
Lehmann, Emil | 1881–1981 | Geologe; Mineraloge; Vulkanologe; Hochschullehrer
Lilienthal, Karl von | 1853–1927 | Jurist
Kühn, Julius | 1825–1910 | Agrarwissenschaftler; Landwirt
Erdmann, Johann Eduard | 1805–1892 | Philosoph; Pfarrer; Schriftsteller; Psychologe; Hochschullehrer
Böhmer, Justus Henning | 1674–1749 | Jurist; Hochschullehrer; Kanzler; Kirchenlieddichter
Dobschütz, Ernst von | 1870–1934 | Theologe; Schriftführer; Hochschullehrer
Bärensprung, Friedrich Wilhelm Felix von | 1822–1864 | Hautarzt; Arzt
Bärensprung, Friedrich Wilhelm Felix von
LASA, A 14, Nr. 281: Resignation des Herrn von Voss auf Ernst Ludwig Christoph Spiegel zum Diesenberg
Anthes, Rudolf | 1896–1985 | Ägyptologe; Kurator <Museumskunde>; Hochschullehrer
Credner, Rudolf | 1850–1908 | Geograf; Geologe; Physiker; Hochschullehrer
Froriep, Ludwig Friedrich von | 1779–1847 | Arzt; Chirurg; Hochschullehrer; Verleger
Beyschlag, Willibald | 1823–1900 | Evangelischer Theologe; Hochschullehrer; Pfarrer; Hofprediger
Bechtel, Friedrich | 1855–1924 | Philologe; Indogermanist; Linguist; Hochschullehrer
Grund, Georg | 1878–1944 | Arzt; Internist; Militärarzt; Hochschullehrer
Feine, Paul | 1859–1933 | Evangelischer Theologe; Gymnasiallehrer; Erzieher; Hochschullehrer
Goetze, Otto | 1886–1955 | Arzt; Chirurg; Schiffsarzt; Hochschullehrer
LASH Abt. 268 Nr. 543: Auszüge aus dem Kapitels-Protokoll, angefangen vom Syndikus Detharding, fortgesetzt vom Syndikus Dr. Buchholz (chronologischer Index)
Finger, August | 1858–1935 | Jurist; Richter; Politiker; Abgeordneter; Hochschullehrer
LASH Abt. 268 Nr. 422: Protokollum rev. capituli Lubicensis
Leipoldt, Johannes | 1880–1965 | Historiker; Religionswissenschaftler; Diakon
Doerne, Martin | 1900–1970 | Evangelischer Theologe; Hochschullehrer; Pfarrer
LASA, A 14, Nr. 274: Vom König dem Baron von Ketteler anno 1728, dem Generalleutnant von Schwerin anno 1738, dem Obrist von Löben anno 1742 konferierte Majorpräbenden und dem von Bucholz 1745 erteilte Erlaubnis zu resignieren
LASA, A 14, Nr. 270: Vom Landesherrn den Domkapitularen erteilte Dispensationen von Beiwohnung der drei Remigiikapitel und der gewöhnlichen Residenz
Bernstein, Felix | 1878–1956 | Mathematiker; Statistiker
Fück, Johann | 1894–1974 | Philologe; Orientalist
Fuchs, Walter Heinrich | 1904–1981 | Agrarwissenschaftler
LASA, A 14, Nr. 288: Vom Hofe erforderte Berichte, wie viel pro honorario für die Präbenden bezahlt werde
LASA, A 14, Nr. 244: Präbende des Herrn Geheimen Rats von Vieregk
Freytag, Carl | 1831–1908 | Agrarwissenschaftler; Zoologe; Hochschullehrer
LASA, A 14, Nr. 295: Des Herrn von Rochow Dispensation vom Klosterjahr
Gren, Friedrich Albrecht Carl | 1760–1798 | Arzt; Physiker; Chemiker; Pharmakologe; Apotheker
Brauer, Rudolf | 1907–2006 | Zahnarzt; Ingenieur
Ackermann, Theodor | 1825–1896 | Arzt; Pathologe; Hochschullehrer
Zeitraum: Gesamtlaufzeit 1713 - 1756, vermutlich die mittleren Jahre davon
LASA, A 14, Nr. 263, Bd. II: Vom König erteilte Expektanzen und Kollationspatente
Goebel, Fritz | 1888–1950 | Kinderarzt; Arzt; Hochschullehrer; Militärarzt
LASA, A 13, Nr. 1122: Wahl der Dechanten beim Domkapitel
Kramer, Gustav | 1806–1888 | Schulleiter; Pädagoge; Klassischer Philologe; Theologe
Kähler, Wilhelm | 1871–1934 | Volkswirt; Jurist; Hochschullehrer; Politiker
Kähler, Martin | 1835–1912 | Evangelischer Theologe; Hochschullehrer; Diakon
Kranz, Walther | 1884–1960 | Klassischer Philologe; Philosoph; Lehrer
Kuhn, Ernst | 1846–1920 | Indologe; Linguist; Philologe; Orientalist
Liefmann, Harry | 1877–1915 | Bakteriologe; Arzt
LASH Abt. 260 Nr. 24: Wahl des Prinzen Friedrich von Dänemark zum Koadjutor im Hochstift Lübeck
LASH Abt. 268 Nr. 10: Kanonikate überhaupt
Böhmer, Eduard | 1827–1906 | Theologe; Romanist; Bibliothekar
LASA, A 14, Nr. 245 Bd. 1: Domkapitularische, olim mecklenburgische, dann kurprinzliche Erbpräbende, deren Erhandlung und nachherige Kollation
LASA, A 14, Nr. 293 Bd. II: Dem Obrist von Löben konferierte Präbende des Domscholasters von Münchhausen, ist an Herrn von Münchhausen resigniert
Brunnemann, Jakob | 1674–1735 | Jurist; Hochschullehrer
LASH Abt. 268 Nr. 447: Protokollum rev. capituli Lubicensis: Band 44
Gilbert, Ludwig Wilhelm | 1769–1824 | Physiker; Hochschullehrer; Chemiker; Mathematiker; Geograf; Astronom
Cluß, Adolf | 1862–1930 | Chemiker; Agrikulturchemiker; Hochschullehrer
Behrend, Paul Gerhard | 1853–1905 | Agrikulturchemiker
Callenberg, Johann Heinrich | 1694–1760 | Orientalist; Theologe; Evangelischer Theologe; Hochschullehrer; Bibliothekar; Missionar
LASA, A 14, Nr. 293 Bd. I: Dem Obrist von Löben konferierte Präbende des Domscholasters von Münchhausen, ist an Herrn von Münchhausen resigniert
Aubin, Gustav | 1881–1938 | Historiker; Wirtschaftshistoriker; Hochschullehrer; Volkswirt; Jurist; Oberstleutnant
König, Heinrich Johann Otto | 1748–1820 | Jurist
Küstner, Heinz | 1897–1963 | Arzt; Gynäkologe; Hochschullehrer; Militärarzt
Krefft, Siegfried | 1916–1981 | Rechtsmediziner; Hochschullehrer; Arzt
Kuckuck, Hermann | 1903–1992 | Pflanzenzüchter; Agrarwissenschaftler
Lastig, Gustav | 1844–1930 | Jurist; Hochschullehrer
Lehmann, Arno | 1901–1984 | Religionswissenschaftler; Missionar; Pfarrer; Hochschullehrer
Buddenbrock-Hettersdorff, Wolfgang, Freiherr von | 1884–1964 | Zoologe; Hochschullehrer
Buddenbrock-Hettersdorff, Wolfgang, Freiherr von
Gerhardt, Ulrich | 1875–1950 | Zoologe; Militärarzt; Hochschullehrer; Widerstandskämpfer
Brieger, Theodor | 1842–1915 | Evangelischer Theologe; Kirchenhistoriker
Ebschbach, Horst | 1924–1977 | Hochschullehrer; Dreher
LASH Abt. 268 Nr. 18: Exspektanzen und Provisionen auf Kanonikate
LASH Abt. 268 Nr. 28: Absenz der Domherren zu Lübeck
Benz, Ernst | 1907–1978 | Evangelischer Theologe; Kirchenhistoriker; Militärgeistlicher
Bauer, Hans | 1878–1937 | Orientalist; Semitist; Theologe; Klassischer Philologe; Publizist; Priester; Hochschullehrer
Gehrig, Hans | 1882–1968 | Volkswirt; Wirtschaftswissenschaftler; Staatswissenschaftler; Hochschullehrer
Knorre, Carl Gottlieb | 1696–1753 | Jurist; Geheimer Rat
Knorre, Ernst Friedrich | 1728–1771 | Jurist
Koch, Herbert | 1880–1962 | Archäologe; Hochschullehrer
Koepp, Wilhelm | 1885–1965 | Theologe; Evangelischer Theologe; Militärgeistlicher; Hochschullehrer
Koellreutter, Otto | 1883–1972 | Jurist; Richter; Hochschullehrer
Koch, Waldemar | 1880–1963 | Politiker; Betriebswirt; Hochschullehrer
Koehler, Hermann Adolph | 1834–1879 | Arzt; Chemiker
Koch, Rudolf | 1909–1963 | Arzt; Rechtsmediziner
Lamprecht, Georg Friedrich von | 1759–1810 | Jurist; Wirtschaftswissenschaftler; Hochschullehrer; Selbstverleger
Lehmann, Richard | 1845–1942 | Geograf; Oberlehrer; Rektor
Lengerken, Hanns von | 1889–1966 | Biologe; Zoologe
Kunitz, Wilhelm | 1894–1983 | Mineraloge; Chemiker; Dozent
Laatsch, Willi | 1905–1997 | Botaniker; Geologe; Bodenkundler
Krueger, Felix | 1874–1948 | Psychologe; Philosoph
Köthner, Paul | 1870–1932 | Chemiker; Freimaurer
Koch, Johannes | 1901–1969 | Arzt; Hals-Nasen-Ohren-Arzt
Liebenberg de Zsitin, Adolf, Ritter | 1851–1922 | Agrarwissenschaftler; Pflanzenzüchter; Hochschullehrer
Lehnerdt, Friedrich | 1881–1944 | Arzt; Kinderarzt; Militärarzt; Hochschullehrer
Leydolph, Walter | 1903–1969 | Agrarwissenschaftler; Tierzüchter
Langheineken, Paul | 1865–1930 | Jurist; Hochschullehrer
Kürten, Heinz | 1891–1966 | Arzt; Internist; Hochschullehrer
Krukenberg, Peter | 1787–1865 | Arzt; Pathologe
Lindner, Theodor | 1843–1919 | Historiker; Geheimer Rat; Lehrer; Hochschullehrer
Ludewig, Johann Peter von | 1670–1743 | Jurist; Historiker; Theologe; Staatsrechtslehrer; Hochschullehrer; Politiker; Philosoph
Ludovici, Jacob Friedrich | 1671–1723 | Jurist; Hofrat; Geheimer Rat
Loofs, Friedrich | 1858–1928 | Lutherischer Theologe; Kirchenhistoriker; Hochschullehrer; Konsistorialrat; Rektor
Litzner, Stillfried | 1897–1972 | Arzt; Internist; Hochschullehrer
Loder, Justus Christian von | 1753–1832 | Arzt
Lorenz, Hans | 1865–1940 | Ingenieur; Mechaniker
Loening, Karl | 1877–1926 | Arzt; Militärarzt
Förster, Theodor | 1839–1898 | Pfarrer; Superintendent; Evangelischer Theologe
LASH, Abt. 268, Nr. 426: Protokollum rev. capituli Lubicensis: Band 23
Goldhagen, Johann Friedrich Gottlieb | 1742–1788 | Arzt; Freimaurer
Coschwitz, Georg Daniel | 1679–1729 | Arzt; Hochschullehrer; Botaniker; Apotheker
Gierke, Julius Karl Otto von | 1875–1960 | Jurist; Hochschullehrer
Deutschbein, Max | 1876–1949 | Philologe; Anglist; Hochschullehrer
Förster, Max | 1869–1954 | Philologe; Anglist
Fehling, Hermann | 1847–1925 | Gynäkologe
LASA, A 14, Nr. 300: Resignation der Minorpräbende des Herrn von Fürstenberg, ingleichen das Verbot der Resignationen
Bei der Filmaufnahme von ca. 1946/47 handelt es sich um einen von mehreren privaten Filmen der Familie Klaetsch, in denen Alltagsszenen und inszenierte Geschichten durch die Familie geplant und aufgenommen wurden. Der Film zeigt eine Inszenierung des Gedichts „Vom Riesen Timpetu“ des Autors Alwin Freudenberg (1873-1930) von 1910. Die drei Töchter spielen das Scherzgedicht verkleidet in verschiedenen Szenen und unter Einsatz von filmischer Tricktechnik nach. Der Film besitzt eine Länge von 6:05 Minuten. Das Entstehungsjahr wurde nach dem Alter der Kinder geschätzt.
Freudenberg, Alwin | 1873–1930 | Jugendbuchautor; Kinderbuchautor; Schriftsteller; Pädagoge; Autor; Librettist
Asinger, Friedrich | 1907–1999 | Chemiker; Hochschullehrer
Burgeff, Hans | 1883–1976 | Botaniker; Hochschullehrer
Gasser, Simon Peter | 1676–1745 | Jurist; Hochschullehrer; Geheimer Rat
Bassarak, Gerhard | 1918–2008 | Theologe
Burdach, Konrad | 1859–1936 | Musikwissenschaftler; Germanist; Literaturwissenschaftler; Kunsthistoriker; Literarhistoriker; Schriftsteller
Baer, Reinhold | 1902–1979 | Mathematiker; Hochschullehrer; Lehrer
Eiselen, Johann Friedrich Gottfried | 1785–1865 | Volkswirt; Hochschullehrer
David, Oskar | 1880–1942 | Arzt; Internist; Radiologe; Militärarzt; Hochschullehrer
LASA, A 13, Nr. 1134: Die in mense papali vakant gewordenen Präbenden bei dem Domstift zu Halberstadt
Elliger, Walter | 1903–1985 | Kirchenhistoriker; Evangelischer Theologe; Hochschullehrer
LASH Abt. 268, Nr. 431: Protokollum rev. capituli Lubicensis: Band 28
LASH Abt. 268 Nr. 416: Protokollum rev. capituli Lubicensis
LASH Abt. 268 Nr. 25: Anzahl der residierenden Domherren zu Lübeck
LASA, A 14, Nr. 272: Präbende des Scholasters
Fikentscher, Richard | 1903–1993 | Arzt; Gynäkologe
Brandt, Heinrich | 1886–1954 | Mathematiker; Hochschullehrer
Derlitzki, Georg | 1889–1958 | Agrarwissenschaftler
LASA, A 14, Nr. 241: Das am 16ten Mai 1805 erfolgte Ableben des Herrn Domkapitularen und Portanarii Friedrich Eberhard v. Rochow und das hiernächst dem Herrn Domkapitular von der Horst von des Königs Majestät konferierte Portanariat, ingleichen das kurz darauf erfolgte Ableben des Herrn Portanarii von der Horst und Introduktion des Domkapitularen und Landrats von Pannewitz
Loeffler, Friedrich | 1885–1967 | Arzt; Orthopäde; Chirurg; Militärarzt; Schiffsarzt; Hochschullehrer
Lütgert, Wilhelm | 1867–1938 | Evangelischer Theologe; Neutestamentler; Rektor; Hochschullehrer
Lüthge, Heinrich | 1899– | Oberregierungsrat; Ministerialrat; Diplomlandwirt; Dozent
Ludwig, Wilhelm | 1901–1959 | Biologe; Zoologe; Genetiker; Hochschullehrer
Loening, Edgar | 1843–1919 | Jurist; Rektor; Hochschullehrer; Hochschullehrer
Luedecke, Otto | 1851–1910 | Geologe; Mineraloge
Lueken, Bernd | 1908–1978 | Physiologe; Arzt
LASA, A 14, Nr. 268: Erhandlung der domkapitularischen Erbpräbende für Herrn von Pannewitz
Conrad, Johannes | 1839–1915 | Wirtschaftswissenschaftler
Frischeisen-Köhler, Max | 1878–1923 | Philosoph; Psychologe; Pädagoge
Gärtner, Robert | 1894–1951 | Agrarwissenschaftler; Tierzüchter
Cobet, Rudolf | 1888–1964 | Arzt; Internist
Büchsel, Friedrich | 1883–1945 | Evangelischer Theologe; Hochschullehrer
LASH Abt. 268 Nr. 19: Turnus in Kanonikaten
Fritsch, Karl von | 1838–1906 | Geologe; Paläontologe; Mineraloge
Fricke, Johann Heinrich | 1740–1775 | Jurist; Privatdozent
LASH Abt. 268 Nr. 445: Protokollum rev. capituli Lubicensis: Band 42
LASH Abt. 268 Nr. 472: Manual-Protokolle
Blohm, Georg | 1896–1982 | Agrarwissenschaftler; Hochschullehrer; Bibliotheksassistent
Aschaffenburg, Gustav | 1866–1944 | Psychiater; Arzt
Dold, Hermann | 1882–1962 | Bakteriologe; Hochschullehrer; Arzt; Militärarzt
Anton, Gabriel | 1858–1933 | Arzt; Psychiater; Neurologe; Geheimer Rat; Hochschullehrer; Militärarzt
Eberhard, Johann Peter | 1727–1779 | Arzt; Naturwissenschaftler; Mathematiker; Physiker
Begrich, Joachim | 1900–1945 | Evangelischer Theologe; Hochschullehrer
LASH Abt. 268, Nr. 428: Protokollum rev. capituli Lubicensis: Band 25
Gundling, Nicolaus Hieronymus | 1671–1729 | Theologe; Jurist; Historiker; Philosoph; Publizist
LASA, A 14, Nr. 306: Konferierung der Buschschen Erbpräbende an Werner Ludwig Clamor von Busch
Giebel, Christian Gottfried Andreas | 1820–1881 | Biologe; Zoologe; Paläontologe
Braunschweig, Paul | 1859–1927 | Arzt; Augenarzt; Militärarzt
LASA, A 14, Nr. 254: Dokumente, zu der Buschschen Erbpräbende gehörig
Aland, Kurt | 1915–1994 | Theologe; Historiker; Kirchenhistoriker; Exeget
Denker, Alfred | 1863–1941 | Arzt; Hals-Nasen-Ohren-Arzt; Hochschullehrer
LASA, A 14, Nr. 115: Ordnung der Majorherren und ihre Stellung nach geendigten elditisch-fürstenbergischen Prozessen
LASA, A 14, Nr. 417: Ableben des Domkapitularen Freiherrn von Fürstenberg
Drigalski, Wilhelm von | 1871–1950 | Arzt; Militärarzt; Schiffsarzt; Amtsarzt; Bakteriologe
Bei der Filmaufnahme von ca. 1942 handelt es sich um einen von mehreren privaten Filmen der Familie Klaetsch, in denen Alltagsszenen und inszenierte Geschichten durch die Familie geplant und aufgenommen wurden. Der Film zeigt den Urlaub der Familie in den Alpen mit verschiedenen Szenen des Wanderns und des Ausflugs auf einem See. Spätere Natur- und Gipfelaufnahmen sind offenbar aus dem Flugzeug heraus entstanden. Der Schwarzweiß-Stummfilm hat eine Länge von 9:27 Minuten.
Dahm, Georg | 1904–1963 | Jurist; Hochschullehrer
Grote, Louis Ruyter Radcliffe | 1886–1960 | Arzt; Hochschullehrer; Internist; Militärarzt
LASA, A 14, Nr. 243: Dem von Bredow erteilte Expektanz
Grüttner, Adalbert | 1881–1929 | Pädagoge; Mathematiker; Physiker; Lehrer; Hochschullehrer
Friedländer, Carl | 1847–1887 | Arzt; Pathologe; Mikrobiologe; Bakteriologe
LASH Abt. 260 Nr. 23: Wahl des Herzogs Friedrich August von Holstein-Gottorf zum Koadjutor im Hochstift Lübeck und dessen Kapitulation, sowie die Resignation des Kronprinzen Carl Friedrich von Schweden auf das Bistum
LASH Abt. 260 Nr. 46: Possession und Huldigung des Bischofs Christian August im Bistum Lübeck
Bernhardy, Gottfried | 1800–1875 | Klassischer Philologe; Bibliothekar
LASA, A 15, B Nr. 17: Protest gegen Verleihung der erledigten Major-Präbende des von Sibelstorff an den Sohn des Oberst Knigge
Crüger, Hans | 1859–1927 | Jurist; Politiker
LASA, A 14, Nr. 67: Provisiones und Emanzipationes, zum Teil in original, zum Teil in copia
Förster, Johann Christian | 1735–1798 | Philosoph; Historiker; Staatswissenschaftler; Autor
LASH Abt. 268 Nr. 409: Protocollum causarum capitularium ecclesie Lubicensis, unvollständig
Böhmer, Gerhard | 1879– | Agrarwissenschaftler; Hochschullehrer; Beamter
Budde, Werner | 1886–1960 | Arzt; Chirurg; Militärarzt; Hochschullehrer
Baehrens, Wilhelm Adolf | 1885–1929 | Klassischer Philologe; Hochschullehrer
Dreher, Eugen | 1841–1900 | Naturwissenschaftler; Philosoph
Freisleben, Rudolf | 1906–1943 | Biologe; Genetiker; Pflanzenzüchter
Arndt, Adolf | 1849–1926 | Jurist; Hochschullehrer
Frech, Fritz | 1861–1917 | Geologe; Paläontologe
LASA, U 5, XVI Nr. 45: (Erzbischof Anselm Casimir von Mainz)
Gelb, Adhémar | 1887–1936 | Psychologe; Hochschullehrer
Dörffel, Julius | 1900–1953 | Hautarzt; Arzt
Christ, Karl | 1878–1943 | Philologe; Romanist; Bibliotheksdirektor; Bibliothekar; Bibliothekswissenschaftler
Baumgarten, Siegmund Jakob | 1706–1757 | Evangelischer Theologe; Historiker; Hochschullehrer
Frank, Reinhard von | 1860–1934 | Jurist; Hochschullehrer
LASA, A 14, Nr. 302: Absterben des Subseniors von Haren und Aszension des von Byern
LASH Abt. 260 Nr. 29: Kaiserliche konfirmiertes Pactum successiorium zwischen Bischof Peter Friedrich Ludwig und dem Domkapitel hinsichtlich der Bischofs- und Koadjutorwahlen im Hochstift Lübeck
LASH, Abt. 260, Nr. 19: Koadjutoriesachen im Hochstift Lübeck
LASH Abt. 260 Nr. 2164: Regierung Eutin: Vicaria 17 in Summo
Buchda, Gerhard | 1901–1977 | Jurist; Historiker; Hochschullehrer; Zoologe
Grüneberg, Theodor | 1901–1979 | Arzt; Hautarzt; Hochschullehrer; Direktor
Arnim, Hans von | 1859–1931 | Philologe; Klassischer Philologe
Frankl, Paul | 1878–1962 | Kunsthistoriker; Hochschullehrer; Architekt
LASA, A 14, Nr. 161: Rathaus zu Dardesheim und Besetzung der Ratsstellen
Bathe, Johann Christoph | 1754–1818 | Jurist
LASA, A 13, Nr. 1116: Verurteilung des Domherrn von Bartensleben in 4 000 Reichstaler Strafe, weil er den Regierungspräsidenten von Canstein zum Zweikampf gefordert habe
LASA, A 14, Nr. 130: Nachjahrsrevenuen der Präbendaten
Galling, Kurt | 1900–1987 | Evangelischer Theologe; Archäologe; Hochschullehrer
LASH Abt. 268 Nr. 440: Protokollum rev. capituli Lubicensis: Band 37
Bode, Hugo | 1851–1937 | Agrarwissenschaftler; Landwirt; Hochschullehrer; Major; Hauptmann
LASH Abt. 268 Nr. 446: Protokollum rev. capituli Lubicensis: Band 43
Andree, Julius | 1889–1942 | Paläontologe; Prähistoriker
Buadze, Severian | 1894–1934 | Arzt; Dozent
Giese, Wilhelm | 1895–1990 | Philologe; Romanist; Hispanist; Kriegsteilnehmer; Kriegsgefangener
Gunkel, Hermann | 1862–1932 | Evangelischer Theologe; Alttestamentler; Hochschullehrer
Brünneck, Wilhelm von | 1839–1917 | Jurist; Hochschullehrer
Fingerling, Gustav | 1867–1944 | Agrarwissenschaftler; Chemiker; Hochschullehrer
Carrach, Johann Tobias | 1702–1775 | Jurist
Abert, Hermann | 1871–1927 | Musikwissenschaftler; Historiker; Klassischer Philologe; Komponist; Arrangeur; Hochschullehrer; Herausgeber
Gloel, Johannes | 1857–1891 | Evangelischer Theologe; Neutestamentler
Gerlach, Werner | 1891–1963 | Pathologe; Arzt; Hochschullehrer; Militärarzt; Diplomat
Ficker, Gerhard | 1865–1934 | Evangelischer Theologe; Kirchenhistoriker
LASH Abt. 268 Nr. 439: Protokollum rev. capituli Lubicensis: Band 36
Ellenberger, Friedrich Wilhelm | 1729–1768 | Philosoph
LASH Abt. 260 Nr. 30: Gutachten des Justizrates Eschen über die Notwendigkeit einer kaiserlichen Konfirmation bei Bischofs- und Koadjutorwahlen im Hochstift Lübeck
LASH Abt. 260 Nr. 45: Regierungswechsel im Bistum Lübeck
LASH Abt. 268 Nr. 11: Rangordnung der Kanoniker zu Lübeck
Elster, Ludwig | 1856–1935 | Verwaltungsbeamter; Hochschullehrer; Volkswirt; Ministerialrat
Cornill, Carl Heinrich | 1854–1920 | Philologe; Evangelischer Theologe; Hochschullehrer
Freund, Richard | 1872–1942 | Arzt; Gynäkologe; Hochschullehrer
LASA, A 14, Nr. 120: Gesuch, am hiesigen Stift nur Deutsche von Adel anzunehmen und in gewöhnlicher geistlicher Kleidung bei Hofe erscheinen zu dürfen
Bei der Filmaufnahme mit Schwerpunkt des Septembers 1941 handelt es sich um einen von mehreren privaten Filmen der Familie Klaetsch, in denen Alltagsszenen und inszenierte Geschichten durch die Familie geplant und aufgenommen wurden. Der Film zeigt die Vorbereitung, Einschulung und in wenigen Szenen die Schulbeendigung der ältesten Tochter. Sie besuchte die Diesterwegschule für Mädchen in Halle (Saale). Der Film zeigt sowohl die private Feier zur Einschulung (Übergabe von Ranzen und Schultüte) wie auch die offiziellen Feierlichkeiten in der Schule. Die Qualität ist durch die doppelte Belichtung leider nicht optimal. Angehängt findet sich ein farbiger Filmzusatz, der die Mädchen der Schulklasse bei der Beendigung der Schulzeit abbildet. Der Film hat eine Länge von 9:34 Minuten.
Ficker, Johannes | 1861–1944 | Evangelischer Theologe; Kirchenhistoriker; Archäologe; Prediger; Hochschullehrer
Brugsch, Theodor | 1878–1963 | Arzt; Internist; Politiker; Militärarzt; Hochschullehrer
Grabein, Max | 1872–1920 | Volkswirt; Direktor
Freylinghausen, Gottlieb Anastasius | 1719–1785 | Evangelischer Theologe; Hochschullehrer; Direktor
Bei der Filmaufnahme von ca. 1947 handelt es sich um einen von mehreren privaten Filmen der Familie Klaetsch, in denen Alltagsszenen und inszenierte Geschichten durch die Familie geplant und aufgenommen wurden. Der Film zeigt die Familie mit ihren Kindern sowie anderen Personen im Garten in der Gartenstadt Halle (Saale). Das Spiel der Kinder, das gemeinsame Essen und die Freizeitgestaltung stehen im Mittelpunkt der Aufnahme. Der Film besitzt eine Länge von 10:32 Minuten. Das Entstehungsjahr wurde nach dem Alter der Kinder geschätzt.
Goelicke, Andreas Ottomar | 1671–1744 | Arzt; Anatom
LASA, A 14, Nr. 245 Bd. II: Domkapitularische, olim mecklenburgische, dann kurprinzliche Erbpräbende, deren Erhandlung und nachherige Kollation
LASH Abt. 268 Nr. 442: Protokollum rev. capituli Lubicensis: Band 39
Bei der Filmaufnahme mit Schwerpunkt des Septembers 1942 handelt es sich um einen von mehreren privaten Filmen der Familie Klaetsch, in denen Alltagsszenen und inszenierte Geschichten durch die Familie geplant und aufgenommen wurden. Der Film zeigt die Vorbereitung und Einschulung einer der Töchter im Herbst 1942. Sie besuchte die Diesterwegschule für Mädchen in Halle (Saale). Der Film zeigt sowohl die private Feier zur Einschulung (Wahrnehmung der Bekanntmachung, Kauf und Übergabe von Ranzen und Schultüte) wie auch die offiziellen Feierlichkeiten in der Schule. Der Film hat eine Länge von 13:12 Minuten.
Inge wird ein Schulkind (Einschulung 1942)
Agricola, Rudolf | 1900–1985 | Wirtschaftswissenschaftler; Journalist; Hochschullehrer; Diplomat
Disse, Joseph | 1852–1912 | Arzt; Anatom
LASA, A 14, Nr. 201: Wahl, Introduktion, Residenz und Resignation des Domdechanten Christian Friedrich Grafen zu Stollberg [so!]
LASH Abt. 268 Nr. 435: Protokollum rev. capituli Lubicensis: Band 32
Flügel, Fritz Eugen | 1897–1973 | Arzt; Neurologe; Psychiater; Hochschullehrer
LASH Abt. 268 Nr. 24: Residenzjahre der Domherren zu Lübeck
Francke, August Hermann | 1663–1727 | Evangelischer Theologe; Pietist; Klassischer Philologe; Orientalist; Pädagoge; Pfarrer; Hochschullehrer
Disselhorst, Rudolf | 1854–1930 | Arzt; Tierarzt; Landwirt; Hochschullehrer; Repetitor
Fischer-Lamberg, Otto | 1886–1963 | Künstler; Kunsterzieher; Maler; Zeichner; Grafiker
Boehmer, Gustav | 1881–1969 | Jurist; Hochschullehrer
Berndt, Georg | 1880–1972 | Physiker; Hochschullehrer
Finck, Otto | 1895–1992 | Pfarrer; Evangelischer Theologe
Bahrfeldt, Max von | 1856–1936 | Numismatiker; Offizier; Hochschullehrer
Buhlert, Hans | 1872–1915 | Agrarwissenschaftler
LASH Abt. 268, Nr. 430: Protokollum rev. capituli Lubicensis: Band 27
LASH Abt. 268 Nr. 540: Chronologischer Index zu den Bänden 12-21 des Kapitels-Protokolle (Nr. 415-424)
LASA, A 14, Nr. 304: Resignation der Minorpräbende des Herrn von Kleist an Herrn von Rochow
Bei der Filmaufnahme wohl aus dem Jahr 1950 handelt es sich um einen von mehreren privaten Filmen der Familie Klaetsch, in denen Alltagsszenen und inszenierte Geschichten durch die Familie geplant und aufgenommen wurden. Der Film inszeniert das Märchen „Schneeweißchen und Rosenrot“. Er beginnt an einem Wildgehege im Wald und leitet dann in die eigentliche Darstellung über. Die Frauen sind bei der Handarbeit zu sehen, während der Bär zur Familie kommt und Aufnahme findet. Der Film spielt bei einem Gartenhaus, später im Wald. Der Schwarzweiß-Stummfilm hat eine Länge von 7:30 Minuten.
Bernstein, Julius | 1839–1917 | Physiologe; Arzt; Hochschullehrer
Geldner, Karl F. | 1852–1929 | Indologe; Orientalist
Alberti, Heinrich Christian | 1722–1782 | Arzt
Cantor, Georg | 1845–1918 | Mathematiker
Forster, Johann Reinhold | 1729–1798 | Naturwissenschaftler; Forschungsreisender; Theologe; Pfarrer; Hochschullehrer
Fehr, Hans | 1874–1961 | Jurist; Historiker; Schriftsteller; Hochschullehrer; Kunsthistoriker
Bei der Filmaufnahme von ca. 1948/49 handelt es sich um einen von mehreren privaten Filmen der Familie Klaetsch, in denen Alltagsszenen und inszenierte Geschichten durch die Familie geplant und aufgenommen wurden. Der Film zeigt im Freien spielende Kinder im Garten des Ackerwegs in der Gartenstadt Halle (Saale). Die älteste Tochter tritt als Zauberkünstler(in) „Hildingisi“ auf und wird von den beiden jüngeren Schwestern assistiert. Dabei kommen mehrere Verwandlungstricks vor, die durch filmische Tricks ergänzt werden. Der Film besitzt eine Länge von 2:00 Minuten. Das Entstehungsjahr wurde nach dem Alter der Kinder geschätzt.
Brode, Reinhold | 1856–1929 | Historiker; Lehrer
Aschner, Bernhard | 1883–1960 | Arzt; Gynäkologe; Physiologe; Chirurg; Endokrinologe; Medizinhistoriker; Übersetzer
Aichel, Otto | 1871–1935 | Arzt; Philosoph; Anthropologe
LASH Abt. 268 Nr. 408: Protocollum causarum capitularium ecclesie Lubicensis
LASA, A 14, Nr. 285: Die dem General von Schwerin konferierte Ripperdaische Präbende; item dessen Prätension in den Platz des verstorbenen Herrn von Ripperda gesetzt zu werden
LASA, A 14, Nr. 202: Wahl des Dechanten von Alvensleben
Goeters, Wilhelm | 1878–1953 | Kirchenhistoriker; Hochschullehrer
Erismann, Theodor | 1883–1961 | Psychologe; Hochschullehrer; Philosoph
Brandt, Georg | 1895–1968 | Arzt; Chirurg; Orthopäde; Hochschullehrer
LASA, A 14, Nr. 122: Einige Misshelligkeiten zwischen dem Domkapitel und dem Domherrn von Rochow
LASA, A 14, Nr. 126: Die dem König dem [so!] Westphalen wegen der von Preußen zugesicherten Fortdauer des Domkapitels gemachte Vorstellung
Francke, Gotthilf August | 1696–1769 | Evangelischer Theologe; Pfarrer; Hochschullehrer; Gymnasiallehrer; Schulleiter
Bosch, Clemens Emin | 1899–1955 | Philologe; Althistoriker; Numismatiker; Hochschullehrer
Grävinghoff, Walter | 1891–1975 | Kinderarzt
LASH Abt. 268 Nr. 417: Protokollum rev. capituli Lubicensis
Bei der Filmaufnahme von ca. 1941 handelt es sich um einen von mehreren privaten Filmen der Familie Klaetsch, in denen Alltagsszenen und inszenierte Geschichten durch die Familie geplant und aufgenommen wurden. Der Film zeigt die Inszenierung des abendlichen Feierabends der Familie. Während die Mutter das Abendbrot bereitet, kehrt der Vater mit dem Fahrrad von der Arbeit zurück und wird von der Tochter abgeholt. Man sieht die spielenden Kinder auf der Straße. Beim Essen und der Abendgestaltung wird die Inneneinrichtung des Hauses im Ackerweg in der Gartenstadt Halle (Saale) gezeigt. Später folgen Szenen des Spielens der Kinder, der Hausarbeit, der Körperpflege und des Schlafengehens der Kinder. Am Ende gestalten die Eltern ihre Freizeit mit Näharbeiten und Vorlesen.
Beck, Jacob Sigismund | 1761–1840 | Philosoph; Hochschullehrer
LASA, A 14, Nr. 296: Dem Herrn von Spiegel zu Pickelsheim vom König erteiltes Benificium a latere
Gellhorn, Ernst | 1893–1973 | Arzt; Physiologe; Hochschullehrer
Berndt, Erhard | 1900– | Agrarwissenschaftler
Fritsch, Heinrich | 1844–1915 | Gynäkologe; Arzt
Ersch, Johann Samuel | 1766–1828 | Bibliothekar; Bibliograf; Lexikograf; Literarhistoriker; Hochschullehrer
LASH Abt. 268 Nr. 414: Protokollum rev. capituli Lubicensis
Geisler, Walter | 1891–1945 | Geograf; Kartograf; Hochschullehrer; Raumplaner
Diehl, Ernst | 1874–1947 | Klassischer Philologe; Hochschullehrer
Bremer, Otto | 1862–1936 | Germanist; Dialektologe; Hochschullehrer; Philologe; Germanist; Literaturwissenschaftler
Baethgen, Friedrich | 1849–1905 | Theologe; Alttestamentler
LASA, A 14, Nr. 289: Resignation der Minorpräbende des katholischen Herrn von Sickingen
Bertram, Philipp Ernst | 1726–1777 | Jurist; Historiker
LASA, A 14, Nr. 258: Seniorateinkünfte, in specie die deshalb zwischen dem Senior vom Kannenberg und dem Subsenior von Neindorf entstandenen Streitigkeiten
Beschke, Erich | 1878– | Chemiker; Hochschullehrer
Güte, Heinrich Ernst | 1754–1805 | Evangelischer Theologe; Hochschullehrer; Pfarrer; Lehrer
LASA, A 14, Nr. 290: Elektenpräbende des Herrn von Kleist und dessen Aszension inter minores vor den Grafen von Wartenberg
Bernstein, Rudolf | 1880–1971 | Konstrukteur; Maschinenbaumechaniker; Dozent
LASA, A 13, Nr. 1123: Den numerum und die Namen der Elekten bei dem Dom allhier, auch welcher Religion dieselben zugetan sind
Behring, Emil von | 1854–1917 | Arzt; Wissenschaftler
Blume, Wilhelm von | 1867–1927 | Jurist; Abgeordneter
Ewerbeck, Christian Gottfried | 1761–1837
LASH Abt. 268 Nr. 450: Protokollum rev. capituli Lubicensis: Band 47
LASA, A 14, Nr. 111: Sammlung von Nachrichten über die Statuten und Observanzen bei Aufnahme der Kapitularen und Elekten
Gosche, Richard | 1824–1889 | Orientalist; Literarhistoriker
Becher, Erwin | 1890–1944 | Arzt; Internist; Hochschullehrer
Giese, Fritz | 1890–1935 | Psychologe; Tiefenpsychologe; Arbeitswissenschaftler; Hochschullehrer; Schriftsteller
LASH Abt. 268 Nr. 437: Protokollum rev. capituli Lubicensis: Band 34
LASA, A 14, Nr. 275: Herrn von Vieregks Prätension wegen Genusses der Präsentien und das als perpetuus Commissarius capituli zu Berlin zu habende Fixum von 133 Reichstalern
Enke, Willi | 1895–1974 | Psychiater; Neurologe; Arzt; Hochschullehrer
Ebers, Johann | 1742–1818 | Beamter; Literaturwissenschaftler
Clauswitz, Benedikt Gottlieb | 1692–1749 | Theologe; Religionswissenschaftler; Diakon; Pfarrer
Alt, Albrecht | 1883–1956 | Theologe; Alttestamentler; Archäologe; Hochschullehrer; Pfarrer; Historiker
Grammel, Richard | 1889–1964 | Physiker; Mechaniker; Ingenieur; Krankenpfleger; Hochschullehrer
Columbus, Arno | 1907–1960 | Agrarwissenschaftler; Diplomlandwirt
LASH Abt. 268 Nr. 411: Protocollum causarum capitularium ecclesie Lubicensis
LASH Abt. 268 Nr. 23: Persönliche Possessionsnehmung der Kanonikate
Elze, Karl | 1821–1889 | Philologe; Anglist; Literarhistoriker
Hoffmann, Friedrich | 1703–1766 | Arzt; Pharmakologe; Hochschullehrer
Kautzsch, Emil | 1841–1910 | Alttestamentler; Hochschullehrer; Evangelischer Theologe; Hebraist
LASA, A 14, Nr. 116: Elektion im Jahr 1782
Dzondi, Karl Heinrich | 1770–1835 | Arzt; Chirurg; Philosoph; Bibliothekar
Drews, Paul | 1858–1912 | Evangelischer Theologe; Diakon
Eisler, Paul | 1862–1935 | Arzt; Anatom; Prosektor; Hochschullehrer
Grell, Heinrich | 1903–1974 | Mathematiker
LASA, A 14, Nr. 261: Dem Herrn von Ende nach Absterben des Subseniors von Neindorf konferierte Präbende
Eckert-Möbius, Adolf | 1889–1976 | Arzt; Militärarzt; Hochschullehrer
Anton, Paul | 1661–1730 | Evangelischer Theologe; Pietist; Pfarrer; Hofprediger; Superintendent; Hochschullehrer; Prorektor
Bleier, Hubert | 1896–1979 | Diplomlandwirt; Genetiker; Pflanzenzüchter
Bessel-Hagen, Erich | 1898–1946 | Mathematiker
LASH Abt. 268 Nr. 471: Manual-Protokolle
LASH Abt. 268 Nr. 420: Protokollum rev. capituli Lubicensis
Dernburg, Heinrich | 1829–1907 | Jurist; Politiker; Abgeordneter
Calker, Fritz van | 1864–1957 | Jurist; Politiker
LASH Abt. 268, Nr. 429: Protokollum rev. capituli Lubicensis: Band 26
LASH Abt. 268, Nr. 427: Protokollum rev. capituli Lubicensis: Band 24
Brockelmann, Carl | 1868–1956 | Orientalist; Semitist; Turkologe; Hochschullehrer
Fischer, Hans Albrecht | 1874–1942 | Jurist; Hochschullehrer
Beyer, Justus Israel | 1696–1762 | Jurist; Philosoph
Buchholz, Hugo Ferdinand | 1866–1921 | Astronom; Mathematiker
Noack, Erwin | 1899–1967 | Rechtsanwalt; Notar; Funktionär; Nationalsozialist
Nettelbladt, Daniel | 1719–1791 | Jurist; Hochschullehrer
Neumann, Ernst Richard | 1875–1955 | Mathematiker; Physiker
Nicolai, Gottlob Samuel | 1725–1765 | Evangelischer Theologe; Hochschullehrer; Pfarrer; Gymnasiallehrer
Nicolai, Ernst Anton | 1722–1802 | Arzt; Chemiker; Hochschullehrer
Nicolaisen, Wilhelm | 1901–1973 | Agrarwissenschaftler; Hochschullehrer
Nitschke, Alfred | 1898–1960 | Kinderarzt; Arzt; Hochschullehrer
Nebelthau, Johann Eberhard | 1864–1914 | Arzt; Internist
Neumann, Karl Johannes | 1857–1917 | Historiker
Niese, Benedikt | 1849–1910 | Historiker; Althistoriker; Klassischer Philologe; Hochschullehrer
Neiss, Fritz | 1883–1952 | Mathematiker; Lehrer; Oberstudienrat; Hochschullehrer
Niemeyer, August Hermann | 1754–1828 | Evangelischer Theologe; Pädagoge; Hochschullehrer; Direktor; Schriftsteller; Kirchenlieddichter; Librettist; Selbstverleger
Niemeyer, Theodor | 1857–1939 | Jurist; Hochschullehrer
Nösselt, Johann August | 1734–1807 | Evangelischer Theologe; Hochschullehrer
Noack, Ulrich | 1899–1974 | Historiker; Hochschullehrer; Historiker
Noll, Fritz | 1858–1908 | Botaniker; Schriftsteller
Nuehsmann, Theodor | 1885–1962 | Arzt; Hochschullehrer
Noack, Kurt | 1888–1963 | Biologe; Botaniker; Biochemiker; Bakteriologe; Direktor; Hochschullehrer
Oberst, Maximilian | 1849–1925 | Arzt; Chirurg; Hochschullehrer
Oeschey, Rudolf | 1879–1944 | Jurist; Hochschullehrer
Nürnberger, Ludwig | 1884–1959 | Gynäkologe; Militärarzt; Hochschullehrer
Oberbeck, Anton | 1846–1900 | Physiker; Hochschullehrer
Olshausen, Robert | 1835–1915 | Arzt; Gynäkologe
Oppel, Albert | 1863–1916 | Arzt; Histologe
Orth, Albert | 1835–1915 | Agrarwissenschaftler
Ostrow-Ostrowsky, Martin von | Mathematiker
Pauli, Karl Friedrich | 1723–1778 | Jurist; Historiker; Hochschullehrer
Perels, Emil | 1837–1893 | Ingenieur; Hochschullehrer
Otto, Martin Heinrich | 1706–1738 | Philosoph; Jurist; Hochschullehrer
Palme, Franz | 1907–1960 | Arzt; Hochschullehrer
Michaelis, Johann Heinrich | 1668–1738 | Orientalist; Evangelischer Theologe; Philologe; Hochschullehrer; Bibliothekar
Michaelis, Christian Benedict | 1680–1764 | Orientalist; Evangelischer Theologe; Hochschullehrer; Bibliothekar
Meyer, Eduard | 1855–1930 | Althistoriker; Kirchenhistoriker; Klassischer Philologe; Bibliothekar; Ägyptologe; Altorientalist; Hochschullehrer
Mitscherlich, Waldemar | 1877–1961 | Volkswirt; Staatswissenschaftler; Soziologe
Meyer, Ludwig | 1894–1964 | Bodenkundler; Hochschullehrer
Mitteis, Heinrich | 1889–1952 | Jurist; Historiker; Hochschullehrer
Mohr, Leo | 1874–1918 | Internist; Arzt; Militärarzt; Hochschullehrer
Meyer, Gottfried | 1855–1933 | Regierungsrat
Mothes, Kurt | 1900–1983 | Biochemiker; Pflanzenphysiologe; Biologe; Apotheker; Hochschullehrer
Moser, Hans Joachim | 1889–1967 | Musiker; Sänger; Bariton <Sänger>; Schriftsteller; Gesangslehrer; Musikwissenschaftler
Mie, Gustav | 1868–1957 | Physiker; Dozent; Hochschullehrer
Michel, Otto | 1903–1993 | Judaist; Neutestamentler; Hochschullehrer; Evangelischer Theologe; Pfarrer
Müller, Julius August | 1889– | Apotheker; Lebensmittelchemiker; Dozent
Müller, Karl Friedrich | 1852–1940 | Evangelischer Theologe; Kirchenhistoriker; Hochschullehrer
Mueller, Berthold | 1898–1976 | Hochschullehrer; Arzt; Rechtsmediziner; Medizinhistoriker
Müller, August | 1848–1892 | Orientalist; Arabist; Hochschullehrer
Müldener, Johann Christian | –1710 | Jurist; Hochschullehrer; Hofrat
Müller, Otto | 1885–1964 | Elektroingenieur; Physiker; Hochschullehrer
Mrugowsky, Joachim | 1905–1948 | Arzt; Biologe; Botaniker
Müller, Ernst Friedrich Karl | 1863–1935 | Evangelischer Theologe; Pfarrer
Müller, Julius | 1801–1878 | Evangelischer Theologe; Prediger; Theologe
Mulertt, Werner | 1892–1944 | Romanist; Hochschullehrer
Mulert, Hermann | 1879–1950 | Evangelischer Theologe
Moldenhauer, Gerhard | 1900–1980 | Romanist; Historiker; Philologe; Mediävist; Hochschullehrer
Montfort, Camill | 1890–1956 | Botaniker; Hochschullehrer
Muff, Christian | 1841–1911 | Klassischer Philologe; Germanist
Muhs, Karl | 1891–1954 | Wirtschaftswissenschaftler
Nachtweh, Alwin | 1868–1939 | Ingenieur; Techniker
Nasse, Otto | 1839–1903 | Arzt; Hochschullehrer; Pharmakologe; Physiologe
Mestwerdt, Gustav | 1910–1979 | Arzt; Gynäkologe
Metzger, Wolfgang | 1899–1979 | Psychologe; Hochschullehrer
Meumann, Ernst | 1862–1915 | Psychologe; Pädagoge; Philosoph
Meusel, Hermann | 1909–1997 | Botaniker; Biologe
Peucker, Johann Georg Gottlieb | 1764–1830 | Philologe
Pfeifer, Berthold | 1871–1942 | Psychiater; Arzt; Schiffsarzt; Militärarzt; Hochschullehrer
Peyer, Willy | 1882–1948 | Apotheker; Chemiker; Pharmazeut; Dozent
Philippi, Johann Ernst | 1700–1758 | Jurist; Philologe; Hochschullehrer; Selbstverleger
Piersig, Johannes | 1907–1998 | Komponist; Organist; Kirchenmusiker; Jurist; Arrangeur; Herausgeber
Philippson, Alfred | 1864–1953 | Geograf; Hochschullehrer
Pfeiffer, Friedrich | 1883–1961 | Mathematiker
Pietrusky, Friedrich | 1893–1971 | Rechtsmediziner; Rektor; Hochschullehrer
Polenske, Karl | 1881–1949 | Hochschullehrer; Jurist; Schriftsteller
Praechter, Karl | 1858–1933 | Klassischer Philologe; Gymnasiallehrer; Hochschullehrer
Pott, August Friedrich | 1802–1887 | Philologe; Evangelischer Theologe
Pose, Heinz | 1905–1975 | Physiker; Atomphysiker; Hochschullehrer
Pott, Richard | 1844–1903 | Arzt; Kinderarzt
Prange, Christian Friedrich | 1756–1836 | Kunsterzieher; Philosoph; Jurist; Hochschullehrer
Pringsheim, Ernst G. | 1881–1970 | Mikrobiologe; Botaniker; Übersetzer; Direktor; Hochschullehrer
Praetorius, Franz | 1847–1927 | Orientalist; Philologe
Preisker, Herbert | 1888–1952 | Evangelischer Theologe
Prange, Georg | 1885–1941 | Mathematiker; Hochschullehrer
Printz, Wilhelm | 1887–1941 | Indologe; Bibliothekar; Hochschullehrer
Pönitz, Karl | 1888–1973 | Neurologe; Psychologe; Hochschullehrer
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
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
The data in this repository is linked to the research article: "A comprehensive 3D velocity model for the European Alps: New insights into the crustal structure", submitted to JGR Solid Earth Authors: Benedikt Braszus - Geophysical Institute (GPI), Karlsruhe Institute of Technology, Karlsruhe, Germany Andreas Rietbrock - Geophysical Institute (GPI), Karlsruhe Institute of Technology, Karlsruhe, Germany Christian Haberland - Deutsches GeoForschungsZentrum GFZ, Potsdam, Germany This data repository contains the following files and subdirectories: model - Layerwise .grd files for vp, vp/vs & vs models between -4km and 79km depth resolution - grid masks indicating the resolved parts of the model space - "P" in the filename refers to the "vp" model, "PS" refers to the "vp/vs" and "vs" model - grid masks are given for the discrete depths of 0, 10, 18, 28, 40, 55 and 70km, i.e. the grid at 18km is valid for the depth range of 14-23km events - events.txt - Event catalog of 2553 events upon which the velocity inversion is based stations - station_list.csv - stations_renamed.txt picks - EQKS - SIMUL EQKS file of the single inversion run with the lowest misfit - note that hypocentral parameters in this file do exactly match the ones given in the final event catalog, because the event catalog is an average over the best 20 individual runs - absolute arrial times given by the event origin time plus the travel time to each station are accurate, though
A comprehensive 3D velocity model for the European Alps based on local earthquake tomography
Institut für Mikrostrukturtechnik (IMT), Karlsruher Institut für Technologie (KIT)
Institut für Biologische Grenzflächen (IBG), Karlsruher Institut für Technologie (KIT)
This publication includes three compressed files containing excel data of temperature readings from different experiments of this project. Additionally, a separate python code is included for the processing of each dataset.
Python Code and Temperature Readings for Analysis of Winogradsky Column Temperature Dynamics
Institut für Angewandte Materialien – Werkstoffkunde (IAM-WK), Karlsruher Institut für Technologie (KIT)
Institut für Nanotechnologie (INT), Karlsruher Institut für Technologie (KIT)
Institut für Angewandte Materialien – Werkstoffkunde (IAM-WK), Karlsruher Institut für Technologie (KIT), Institut für Nanotechnologie (INT), Karlsruher Institut für Technologie (KIT), Karlsruhe Nano Micro Facility (KNMF), Karlsruher Institut für Technologie (KIT)
Institut für Nanotechnologie (INT), Karlsruher Institut für Technologie (KIT), Karlsruhe Nano Micro Facility (KNMF), Karlsruher Institut für Technologie (KIT)
*.dm4 are DigitalMicrograph data (proprietary software from Ametek/Gatan) *.emd are Velox-data (proprietary software from Thermofisher/TFS) *.mrc are tomography data, readable with Velox or ImageJ *.gfrm and *.brml data are are originally generated from the Bruker D8Discover diffractometer using the measurement software DIFFRAC.COMMANDER; they can be opened by DIFFRAC.EV (https://www.bruker.com/en/products-and-solutions/diffractometers-and-x-ray-microscopes/x-ray-diffractometers/diffrac-suite-software/diffrac-eva.html) software from Bruker all data without extension can be opened with a text-editor
Microstructure development in LiBH4-MgH2 and NaBH4-MgH2 RHCs upon temperature change and repeated cycling
Institut für Funktionelle Grenzflächen (IFG), Karlsruher Institut für Technologie (KIT)
Technische Universität Darmstadt (TU Darmstadt)
Helmholtz-Institut Ulm (HIU), Karlsruher Institut für Technologie (KIT)
Velox 3.10 to open the emd file for STEM and EDX NanoMegas ASTAR 2.2.0 to open the blo file for ACOM EDAX OIM analysis 8 to open the OSC and UP2 file for EBSD
Microstructural evolution and mechanical properties of CuSn5 processed by HPT followed by short-time annealing
Institut für Angewandte Materialien – Energiespeichersysteme (IAM-ESS), Karlsruher Institut für Technologie (KIT)
Institut für Angewandte Materialien – Elektrochemische Technologien (IAM-ET1), 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)
Investigation of Copper and Brass Nanoparticles for the CO2 Reduction in Organic Electrolytes
Institut für Automation und angewandte Informatik (IAI), Karlsruher Institut für Technologie (KIT)
The archive includes one dataset of 1200 natural images that was collected to test pre-trained model. Filename structure: [line type, code]-[line width in nm]-[SD in nm]-[pixel density in mpx/mm]. Pixel density is reciprocal to the image resolution. Line type and code structure: [diw/ijp]: direct-written or inkjet-printed line, [first number]: sequence number, [a/b]: printed line or interline space, [last number]: 0 - original image, 1 - vertically mirrored and gamma-corrected image, 2 - horizontally mirrored and gamma-corrected image, 3 - 180° rotated and gamma-corrected image, 4 - solely gamma-corrected image. Gamma correction was randomly set in the range [0.5, 1.5].
Conventional optical measurement techniques are beneficial in manufacturing processes due to their fast and non-intrusive operation. However, they require sophisticated and expensive equipment as well as increased personnel qualification. While the integration of machine learning contributes to alleviating these requirements, it needs a time-consuming and tedious preparation of training datasets. We introduce a twin concept to conduct rapid measurement of various geometrical properties of printed lines using deep learning. For the first time, a tedious collection and assessment of training data is substituted by synthetic generation of digital samples, which enables flexible, fast, and precise data processing. A full-field analysis of a non-preprocessed image conducted by a neural network facilitates measurement of multiple geometrical properties of an object at once. Corresponding network architecture, workflows, and metrics are outlined. The application area of the concept is demonstrated, but not limited to the field of functional printing. The method can easily be tailored to a wide range of engineering fields.
Extended Natural Dataset for Rapid Deep-Learning-Based Optical Measurement of Printed Linear Structures
Dataset for the paper "Sample-accessible multi-resonance X-band EPR triple ring resonator"
Institut für Produktentwicklung (IPEK), Karlsruher Institut für Technologie (KIT)
Various multi-mass oscillator models were parameterized as part of a publication on modeling the rotational mechanical impedance around the xh- and zh-axes of the human coordinate system according to ISO 5349-1:2001, The publication will appear shortly in the conference proceedings of the “5th VDI Symposium on Vibrations 2025: Solutions for Vibrations.” The underlying studies used for the parametrization are published as data sets under DOI 10.35097/1r2qfkquz7mzar0s and DOI 10.35097/vfrrc2hbxkujanz8. Based on this data sets, the three-, four-, and five-mass oscillators are parametrized for four different combinations of grip and push forces, as well as the mean rotational mechanical impedance of the study. The parametrization was achieved by using an optimization algorithm of the Matlab (2023b, The Math Works Inc., Natick, USA) internal functions GlobalSearch and fmincon. Furthermore, all multi-mass oscillators were parameterized without weighting and with a weighting function for emphasizing frequencies between 10 and 150Hz. The resulting parameters of each force combination and multi-mass oscillator are published here. The error metrics between the measured and modeled rotational mechanical impedance can also be found individually for each model.
The csv data contains different sheets. Sheet "Overview": - shows all multi-mass oscillators and their abbrevations - the weighting function - the objective function - the combinations of grip and push forces - the used formulas for calculating the error metrics Sheet "Summary xh-axis": - error metrics of the different multi-mass oscillators for evaluating between 10-500Hz and 10-125Hz, already summarized across the grip and push force levels - broken down into directly comparable error metrics for comparing the different models for modeling the measured rotational mechanical impedance around the xh-axis Sheet "Summary zh-axis": - error metrics of the different multi-mass oscillators for evaluating between 10-500Hz and 10-125Hz, already summarized across the grip and push force levels - broken down into directly comparable error metrics for comparing the different models for modeling the measured rotational mechanical impedance around the zh-axis Sheet "xh-axis Parameters, Errors" - lists all model parameters for the different mutli-mass oscillators for each grip and push force combination, parametrized both weighted and unweighted, resulting in 40 rows - the error metrics between the measured and modeled rotational mechanical impedance around the xh-axis for each parametrized model is specified, for both evaluation ranges (10-125Hz and 10-500Hz) Sheet "zh-axis Parameters, Errors" - lists all model parameters for the different mutli-mass oscillators for each grip and push force combination, parametrized both weighted and unweighted, resulting in 40 rows - the error metrics between the measured and modeled rotational mechanical impedance around the zh-axis for each parametrized model is specified, for both evaluation ranges (10-125Hz and 10-500Hz)
Model parameters and error metrics for modeling the rotatory mechanical impedance around the xh- and zh-axis
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)
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
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)
Institut für Angewandte Materialien – Werkstoffkunde (IAM-WK), Karlsruher Institut für Technologie (KIT), Karlsruhe Nano Micro Facility (KNMF), Karlsruher Institut für Technologie (KIT)
Graduiertenkolleg 2561: Materials Compounds from Composite Materials (GRK 2561), Karlsruher Institut für Technologie (KIT)
This dataset contains the relevant data of the submission "A ductile chromium-molybdenum alloy resistant to high temperature oxidation". All files highlighted by "MC" denote data on Cr-37.2Mo and "MSC" on Cr-36.1Mo-3Si (both alloy compositions given in at.%). 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_sample" 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") Fig3a and b = 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 Fig3c = Atom probe tomography data in the form of Cameca proprietary data file format Fig4 = Electron backscatter diffraction maps as fully annotated *.ang file FigE1 = X-ray diffraction patterns of the as cast condition as background-subtracted intensity (in 1) as a function of 2Theta diffraction angle (in °) FigE3 = Engineering stress-strain curves (in MPa and 1, respectively) for room temperature FigE4 = 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 °) FigE5 = 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 FigE6 = Time-dependent (in h) scale thicknesses determined form scanning electron micrographs of oxide scales (in µm) FigE7 = Electron backscatter diffraction maps as fully annotated *.ang file
Data from "A ductile chromium-molybdenum alloy resistant to high temperature oxidation"
Institut für Biologische und Chemische Systeme (IBCS), Karlsruher Institut für Technologie (KIT)
Raw data of "SM-DMA: Solid Medium Droplet Microarray for Miniaturized Antimicrobial Susceptibility Test"
SM-DMA: Solid Medium Droplet Microarray for Miniaturized Antimicrobial Susceptibility Test
IASI (Infrared Atmospheric Sounding Interferometer) is the core instrument of the currently three Metop satellites of EUMETSAT (European Organization for the Exploitation of Meteorological Satellites). The MUSICA IASI processing has been developed in the framework of the European Research Council project MUSICA (MUlti-platform remote Sensing of Isotopologues for investigating the Cycle of Atmospheric water). The processor performs an optimal estimation of the vertical distributions of H2O, the ratio HDO/H2O, N2O, CH4, and HNO3, and works with IASI radiances measured for cloud-free conditions. The MUSICA IASI full retrieval product standard output (processing version 3.2.1) data set provides full information on the retrieval input (e.g. a priori and constraints) and output (inverted trace gas profiles, error profiles and covariances, averaging kernels and averaging kernel metrics), and covers the period between October 2014 and June 2019. The complete data set has a volume of about 25 TB and is archived at bwDataArchive (a long-term data archive for scientific data). Details on data format, access, and authenticity are given in the file "ReadMe.pdf". The files "*.md5" collect the MD5 checksums of the data in bwDataArchive and allow the verification of the authenticity of the data set provided via the download link. The file "IASIAB_MUSICA_030201_L2_AllTargetProducts_20180801.tar" is an example of the data set and contains data for all orbits of day 20180801. A detailed description of the MUSICA IASI full retrieval product is given in Schneider et al. (2022, https://doi.org/10.5194/essd-14-709-2022).
Ministerium für Wissenschaft, Forschung und Kunst Baden-Württemberg
Bundesministerium für Bildung und Forschung
MUSICA IASI full retrieval product standard output (processing version 3.2.1)
Institute of Meteorology and Climate Research, Atmospheric Trace Gases and Remote Sensing (IMK-ASF), Karlsruhe Institute of Technology (KIT)
Observation of Floppy Flexural Modes in a 3D Polarized Maxwell Beam
A T-matrix Based Approach to Homogenize Artificial Materials
Monolithically printed all-organic flexible photosensor active matrix
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.
Revealing the mechanism of reductive, mechanochemical Li recycling from LiFePO4
International Rice Research Institute (IRRI), Los Baños, Laguna, Philippines
Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research, Atmospheric Environmental Research (IMK-IFU), Garmisch-Partenkirchen, Germany
Worldwide, rice production contributes about 10% of total greenhouse gas (GHG) emissions from the agricultural sector, mainly due to CH4 emissions from continuously flooded (CF) fields. Alternate Wetting and Drying (AWD) is a promising crop technology for mitigating CH4 emissions and reducing the irrigation water currently being applied in many of the world's top rice-producing countries. However, decreased emissions of CH4 may be partially counterbalanced by increased N2O emissions. In this case study for the Philippines, the national mitigation potential of AWD is explored using the process-based biogeochemical model LandscapeDNDC. Simulated mean annual CH4 emissions under conventional rice production for the time period 2000 - 2011 are estimated as 1,180163 Gg CH4 yr-1. During the cropping season, this is about +16% higher than a former estimate using emission factors. Scenario simulations of nationwide introduction of AWD in irrigated landscapes suggest a considerable decrease of CH4 emissions by -23%, while N2O emissions are only increased by +8%. Irrespective of field management, at national scale the radiative forcing of irrigated rice production is always dominated by CH4 (>95%). The reduction potential of GHG emissions depends on, e.g., number of crops per year, residue management, amount of applied irrigation water and sand content. Seasonal weather conditions also play an important role, since the mitigation potential of AWD is almost double as high in dry as compared to wet seasons. Furthermore, this study demonstrates the importance of temporal continuity, considering off-season emissions and the long-term development of GHG emissions across multiple years.
Rice production systems, Alternate Wetting and Drying, Greenhouse gas emissions, Inventories, Biogeochemical modelling
Greenhouse Gas Mitigation Potential of Alternate Wetting and Drying for Rrice Production at National Scale – A Modelling Case Study for the Philippines
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
Towards in-situ diagnostics of multi-photon 3D laser printing by optical coherence tomography
Optimizing the Performance of Printed Indium Oxide Thin-Film Transistors Through Gallium Incorporation
Okinawa Institute of Science and Technology Graduate University(OIST)
Processed micro-tomographic scan of the ant Nomamyrmex esenbeckii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant 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.
Processed micro-tomographic scan of the ant Tapinoma schultzei, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant 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.
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 #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
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
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.
Instructions on how to use the data can be found within the repository.
Reproduction Package for the Dissertation on Building Transformation Networks for Consistent Evolution of Interrelated Models
Processed micro-tomographic scan of the ant Blepharidatta brasiliensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant 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 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.
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 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.
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
Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research Troposphere Research
Institute of Meteorology and Climate Research Troposphere Research
Processed micro-tomographic scan of the ant Monomorium floricola, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Strumigenys strigatella, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant 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 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 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 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 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 Lasius neglectus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The 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
Processed micro-tomographic scan of the ant Stigmatomma FHG02, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant 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 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 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 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.
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 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 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.
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 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.
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 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 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.
Processed micro-tomographic scan of the ant Cardiocondyla obscurior, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant OUTGROUP_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.
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 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 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.
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 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 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 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.
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.
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.
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.
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.
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
Processed micro-tomographic scan of the ant Acanthostichus brevicornis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant 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.
Processed micro-tomographic scan of the ant Atopomyrmex mocquerysi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant 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 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.
Diese Übersicht stellt alle im actiTopp Modell verwendeten Modellparameter der logistischen Regressionsschritte dar. Das Modell actiTopp ist ein Modell zur Erzeugung von Wochenaktivitätenplänen für Verkehrsnachfragemodelle. Es wurde am Institut für Verkehrswesen des KIT von Tim Hilgert entwickelt.
Parameter des Modells actiTopp zur Erstellung von Wochenaktivitätenplänen für Verkehrsnachfragemodelle
Processed micro-tomographic scan of the ant Temnothorax unifasciatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Acromyrmex cf coronatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant 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 Neoponera unidentata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Strongylognathus testaceus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant 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 Pheidole parva, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant 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.
Fraunhofer Institut für System- und Innovationsforschung
Übersicht KAMO-Datensätze: www.kamo.one/datensatz
Fakultät für Bauingenieur-, Geo- und Umweltwissenschaften (BGU), Karlsruher Institut für Technologie (KIT)
A deep learning framework for simultaneous segmentation of rooftop and ground-mounted photovoltaic (PV) systems using multispectral remote sensing data.
Extract the ZIP folder to obtain the files needed to run PVMultiSegNet. The README file contains instructions for managing the code.
PVMultiSegNet: Framework for Simultaneous Segmentation of Rooftop and Ground-Mounted Photovoltaics
Karlsruher Institut für Technologie (KIT)
***Sponges*** --- **10 ppi copper sponge (total length 200 mm, diameter 14 mm) made by replication technique** * total porosity: 91% * open porosity: between 85% and 88% * nominal cell density: approximately 10 pores per inch * mean strut diameter: 0.45 mm * mean window diameter: 1.6 mm **10 ppi plastic sponge (total length 47 mm, diameter 14 mm) made by 3D printing** * total and open porosity: 86% * nominal cell density: approximately 10 pores per inch * mean strut diameter: 0.6 mm * mean window diameter: 2.0 mm **20 ppi copper sponge (total length 247 mm, diameter 14 mm) made by replication technique** * total porosity: 90% * open porosity: between 84% and 87% * nominal cell size: approximately 20 pores per inch * mean strut diameter: 0.28 mm * mean window diameter: 1.0 mm ***Operating conditions*** --- **two-phase flow:** * pressure: 12 bar and 26.5 bar * mass flux: 25 kg m-2 s-1 to 150 kg m-2 s-1 * vapor quality: 10% to 100% * adiabatic: heat flux: less than 0.9 kW m-2 * diabatic: heat flux: 8 kW m-2 to 40 kW m-2 **single-phase flow:** * temperature: -10 °C to -15 °C * mass flux: 25 kg m-2 s-1 to 150 kg m-2 s-1 * heat flux: less than 0.9 kW m-2
Experimental data on the adiabatic and diabatic two-phase flow of saturated CO2 in a horizontal cylindrical tube (diameter 14 mm) with integrated metal sponges (open-cell metal foams) are presented. Moreover, the pressure drop of single-phase flow inside the same metal sponges was investigated. The nominal cell density of the sponges is 10 ppi (“pores per inch”) or 20 ppi. The mass flow was varied from 25 kg/(m²s) to 150 kg/(m²s) and the flow vapor quality from 0.1 to 1 in case of two-phase flow. The saturation pressure was either 12 bar or 26.5 bar. The length filled with sponges upstream of the test section varied from 12 mm to 210 mm for 10 ppi sponges and was 109 mm for 20 ppi sponges. In addition, geometric properties of the sponges relevant to pressure loss, such as window diameter, strut diameter, porosity and specific surface area, were determined.
Experimentelle Daten zur Zweiphasenströmung von gesättigtem CO2 in einem horizontalen zylindrischen Rohr (Durchmesser 14 mm) mit integrierten Metallschwämmen (offenzellige Metallschäume) unter adiabaten sowie diabaten Bedingungen werden vorgestellt. Außerdem wurde der Druckverlust bei einphasiger Durchströmung derselben Schwämme untersucht. Die nominelle Zelldichte der Schwämme beträgt 10 ppi („Poren pro Zoll“) bzw. 20 ppi. Der Massen-strom wurde von 25 kg/(m²s) bis 150 kg/(m²s) variiert und im Falle einer Zweiphasen¬strömung ebenfalls der Strömungsdampfgehalt (von 0,1 bis 1). Der Sättigungsdruck betrug entweder 12 bar oder 26,5 bar. Die mit Schwämmen gefüllte Länge stromaufwärts der Messstrecke variierte zwischen 12 mm und 210 mm bei 10 ppi Schwämmen und betrug 109 mm bei 20 ppi Schwämmen. Zusätzlich wurden die für den Druckverlust relevanten geometrische Eigenschaften der Schwämme, nämlich der Fensterdurchmesser, der Steg¬durchmesser, die Porosität und die spezifische Oberfläche, bestimmt.
Pressure drop data of two-phase flow in a horizontal tube filled with metal sponge
Eine ländervergleichende Studie unter besonderer Berücksichtigung der räumlichen und sozialen Herkunft
Motor Research Data Repository, Karlsruher Institut für Technologie
Das Ziel dieser Studie war, die motorische Fitness einer ausgewählten Gruppe kenianischer Kinder und Jugendlicher zu untersuchen und die Ergebnisse mit den derzeit verfügbaren Daten über die motorische Fitness deutscher Kinder im gleichen Alter zu vergleichen. Die Daten wurden an drei verschiedenen Schulen in Nairobi und Umgebung erhoben, darunter eine Privatschule und Schulen in ländlicher Umgebung. Ein weiterer Vergleich wurde zwischen den Ergebnissen der Kinder aus diesen drei Einrichtungen in Kenia vorgenommen. Für Deutschland wurde dies nicht erfasst. Die Vergleichsdaten in Deutschland stammten aus der Motorik-Modul-Studie zur körperlichen Fitness und körperlichen Aktivität bei deutschen Kindern und Jugendlichen (Woll, A., Kurth, B. M., Opper, E., Worth, A. & Bös, K. 2011).
Die motorische Leistungsfähigkeit von deutschen und kenianischen Kindern im Alter von 10 Jahren
Motor Research Data Repository, Karlsruher Institute of Technology
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"
The data contains the reconstructed tomogram slices in a "*.tiff" format as delta contrast tomogram. The correction of the delta tomogram and calculation of the electron density tomogram has to be done as described in the "*_cutoffs.txt" file. Information about required offset correction of the electron density tomograms is provided in the respective publication. Reconstructed X-ray ptychography projections were tomographically reconstructed using the Matlab script of the cSAXS group of the Swiss Light Source, as published in DOI:10.5281/zenodo.3539550 and DOI:10.1364/OE.27.036637. Ptychographic projections were obtained using the PtyRex package available at I13-1 beamline with 400 iterations.
Reconstructed ptychographic X-ray computed tomography data set acquired at Diamond Light Source, instrument I13-1 (proposal MG24079-1) of the artificially coked mesoporous sample Ni/Al$_{2}$O$_{3}$-mc. The data set is part of an artificial coking study of nickel based catalysts, which were investigated by ptychographic X-ray computed tomography. Detailed information regarding sample preparation and experimental conditions are available in the respective publication and electronic supplementary information.
Reconstructed ptychographic X-ray computed tomography data of an artificially coked mesoporous Ni/Al$_{2}$O$_{3}$ catalyst
The data in the Excel file is related to the publication Gao et al., ACP, 2022. Each sheet of the Excel file corresponds to one plot in the publication. The data originates mainly from FIGAERO-CIMS and HR-ToF-AMS (both Aerodyne Inc.) measurements (see corresponding readme.pdf file).
The data in the Excel file is related to the publication Gao et al., ACP, 2022. Each sheet of the Excel file corresponds to one plot in the publication. The data originates mainly from FIGAERO-CIMS and HR-ToF-AMS (both Aerodyne Inc.) measurements. “Kinetics, SOA yields and chemical composition of secondary organic aerosol from β-caryophyllene ozonolysis with and without nitrogen oxides between 213 and 313 K” Linyu Gao1,2; Junwei Song1,2; Claudia Mohr3; Wei Huang4; Magdalena Vallon1; Feng Jiang1,2; Thomas Leisner1,5; and Harald Saathoff1 1 Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology, Karlsruhe, Germany 2 Institute of Geography and Geoecology, Working Group for Environmental Mineralogy and Environmental System Analysis, Karlsruhe Institute of Technology, Karlsruhe, Germany 3 Department of Environmental Science, Stockholm University, Stockholm, Sweden 4 Institute for Atmospheric and Earth System Research / Physics, Faculty of Science, University of Helsinki, Helsinki, Finland 5 Institute of Environmental Physics, Heidelberg University, Heidelberg, Germany Correspondence to: Linyu Gao (linyu.gao@kit.edu) and Dr. Harald Saathoff (harald.saathoff@kit.edu) Atmos. Chem. Phys. Discuss. [preprint], https://doi.org/10.5194/acp-2021-1067, in review, 2022. (accepted on April 4th, 2022)
Kinetics, SOA yields and chemical composition of secondary organic aerosol from β-caryophyllene ozonolysis with and without nitrogen oxides between 213 and 313 K
Institut für Hochfrequenztechnik und Elektronik (IHE), Karlsruher Institut für Technologie (KIT)
The data set contains 2479 recordings from 25 individuals performing 7 different gestures and zero-class measurements. It is split into two parts. The first part (924 recordings from 22 participants) contains recordings of 7 gestures. The second part (1555 recordings from 4 participants) includes 5 gestures and additional zero-class measurements with no or random movement to be distinguished from actual gestures. Each recording has a unique designation with an underscored separation between its attributes. The available attributes contain information about the gesture, measurement setup, and personal information about the individual performing the gesture. All gestures were captured using a BGT60TR13C radar sensor by Infineon.
A broad and flexible data set for radar-based gesture recognition of 7 gestures using a fast chirp frequency-modulated continuous wave (FC-FMCW) radar is made available. A legend containing information about the provided data set and its recordings to enable informed usage by third parties is provided alongside.
A Flexible Data Set for Radar-based Gesture Recognition with an FC-FMCW Radar
Supplement of the article Grothe O, Kaplan A, Kouz K, Saugel B. "Computer program for error grid analysis in arterial blood pressure method comparison studies" to provide the error grid analysis suggested in Saugel B, Grothe O, Nicklas JY. "Error Grid Analysis for Arterial Pressure Method Comparison Studies. Anesthesia and analgesia 2018;126:1177-85.
Detailed information for usage is provided in the article.
Software and example data for error grid analysis
Reconstructed ptychographic X-ray computed tomography data set acquired at Diamond Light Source, instrument I13-1 (proposal MG24079-1) of the artificially coke hierarchical porous sample Ni/Al$_{2}$O$_{3}$-hc. The data set is part of an artificial coking study of nickel based catalysts, which were investigated by ptychographic X-ray computed tomography. Detailed information regarding sample preparation and experimental conditions are available in the respective publication and electronic supplementary information.
Reconstructed ptychographic X-ray computed tomography data of an artificially coked hierarchical porous Ni/Al$_{2}$O$_{3}$ catalyst
The data provided here contains the information of the publication "High temperature in situ gas analysis for identifying degradation mechanisms of lithium-ion batteries" in Chemical Science. Two excel files are attached, which provide the data for the figures in the main text amd the supporting information. Data processing is described in the paper as well as the supporting information.
High temperature in-situ gas analysis for identifying degradation mechanisms of lithium-ion batteries
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
Im Rahmen der Europäischen Woche des Sports 2017 konnten Studierende und Mitarbeitende des KIT das Europäische Fitness Abzeichen absolvieren. During the European week of sport in 2017, students and employees of the KIT could do the European Fitness Badge.
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 "The influence of lattice misfit on screw and edge dislocation-controlled solid solution strengthening in Mo-Ti alloys"
Experimental data on the heat transfer coefficient during saturated flow boiling of CO$_2$ in a horizontal cylindrical tube (diameter 14 mm) with integrated metal sponges (open-cell metal foams) are presented in this publication. The nominal cell density of the sponges was 10 ppi (“pores per inch”) or 20 ppi. The mass flux varied from 25 kg m$^{-2}$ s$^{-1}$ to 125 kg m$^{-2}$ $\,^{-1}$ and the vapor quality from 10% to 100%. The saturation pressure was either 12 bar, 19 bar or 26.5 bar. The length filled with sponge upstream of the heated part of the test section was 38 mm for the 10 ppi sponge and either 35 mm or 135 mm for the 20 ppi sponge. For the 20 ppi sample, the proportion of the test section filled with sponge was varied to investigate entrance effects. As a reference, the heat transfer coefficient during flow boiling in the empty tube was determined. In addition, geometric properties of the sponges relevant for the heat transfer coefficient (window diameter, strut diameter, porosity, specific surface area, and heat conductivity), were identified.
# Sponges **10 ppi copper sponge made by replication technique** * total porosity: 91% * open porosity: between 85% and 88% * nominal cell density: approximately 10 pores per inch * mean strut diameter: 0.45 mm * mean window diameter: 1.6 mm **10 ppi plastic sponge made by 3D printing** * total and open porosity: 86% * nominal cell density: approximately 10 pores per inch * mean strut diameter: 0.6 mm * mean window diameter: 2.0 mm **20 ppi copper sponge made by replication technique** * total porosity: 90% * open porosity: between 84% and 87% * nominal cell size: approximately 20 pores per inch * mean strut diameter: 0.28 mm * mean window diameter: 1.0 mm # Operating conditions **two-phase flow boiling in test section filled with sponges** * pressure: 12 bar, 19 bar and 26.5 bar * mass flux: 25 kg m-2 s-1 to 125 kg m-2 s-1 * vapor quality: 10% to 100% * heat flux: 3 kW m-2 to 65 kW m-2 * boundary condition: * constant wall temperature * constant wall heat flux **two-phase flow boiling in empty tube** * pressure: 12 bar and 26.5 bar * mass flux: 25 kg kg m-2 s-1 to 150 kg m-2 s-1 * vapor quality: 10% to 100% * heat flux: 1 kW m-2 to 40 kW m-2 * boundary condition: * constant wall temperature * constant wall heat flux
In der hier vorgestellten Publikation werden experimentelle Daten zum Wärmeübergangs-koeffizienten beim gesättigten Strömungssieden von CO$_2$ in einem horizontalen zylindrischen Rohr (Durchmesser 14 mm) mit integrierten Metallschwämmen (offenzellige Metallschäume) präsentiert. Die nominelle Zelldichte der Schwämme betrug 10 ppi („Poren pro Zoll“) bzw. 20 ppi. Der Massenstrom wurde von 25 kg m$^{-2}$ s$^{-1}$ bis 125 kg m$^{-2}$ s$^{-1}$ variiert, der Strömungsdampfgehalt lag zwischen 10% und 100%. Der Sättigungsdruck betrug entweder 12 bar, 19 bar oder 26,5 bar. Die mit Schwämmen gefüllte Länge stromaufwärts der beheizten Zone betrug 38 mm beim 10 ppi Schwamm und entweder 35 mm oder 135 mm beim 20 ppi Schwamm. Für die 20 ppi Probe wurde der Anteil des mit Schwamm gefüllten Testabschnitts variiert, um Einlaufeffekte zu untersuchen. Als Referenz wurde der Wärmeübergangskoeffizient während des Strömungssiedens im leeren Rohr bestimmt. Darüber hinaus wurden die für den Wärme-übergangskoeffizient relevanten geometrische Eigenschaften der Schwämme (Fensterdurchmesser, Stegdurchmesser, Porosität, spezifische Oberfläche und Wärmeleitfähigkeit) ermittelt.
Heat transfer data of two-phase flow in a horizontal tube filled with metal sponge
"Zur Beweglichkeit von Kindern heute und vor zehn Jahren." In: Sportunterricht, 39 (1990) 10, S. 373-384 Die Autoren sind am Institut fuer Sportwissenschaft der Universitaet Hannover taetig. Sie haben in einer empirischen Studie die Frage ueberprueft, ob sich die gegenwaertigen Lebensbedingungen von Grundschulkindern, die zunehmend mit dem viel diskutierten "Bewegungsmangel" beschrieben werden, auf die Entwicklung der Beweglichkeit auswirken. Hierzu haben sie im Herbst 1989 den Entwicklungsstand der Beweglichkeit im Bereich der grossen Gelenke von 74 achtjaehrigen Kindern heute mit den Unterlagen von 74 achtjaehrigen Kindern im Jahre 1979 verglichen. Die beiden Kindergruppen waren parallelisiert, d. h. es waren zwei parallele Gruppen hinsichtlich Geschlecht, Alter und Schule. Die Autoren gingen dabei von der Ueberlegung aus, dass eine hohe Beweglichkeit grundsaetzlich mit einer guten muskulaeren Situation verbunden ist. Diese wirkt sich langfristig gesehen positiv auf den Gesundheitszustand eines Menschen aus und gilt ausserdem als elementare Voraussetzung fuer qualitativ und quantitativ gute Bewegungsausfuehrungen im Sport. Zunaechst einmal wurde bei der Untersuchung der koerperliche Entwicklungsstand ermittelt, wobei sich Unterschiede zwischen den heutigen Grundschulkindern und den Grundschulkindern vor 10 Jahren ergaben. Die Jungen waren 1979 im geschlechtsspezifischen Vergleich bei gleichem Alter groesser und schwerer, hatten breitere Schultern und laengere Arme als die
Zur Beweglichkeit von Kindern heute und vor zehn Jahren
"Allgemeines sportmotorisches Eigenschaftsprofil von Freiklettern." In: Leibesübungen, Leibeserziehung, 37 (1983) 5, S. 99-106
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 '1/3xSO2' (Hunga_1_3xSO2.tar.gz) and 'noCoag' (Hunga_noCoag.tar.gz)
Research data for 'Aerosol dynamic processes in the Hunga plume in January 2022: Does water vapor accelerate aerosol aging?' (Part 2/3)
Institut für Katalyseforschung und -technologie
Institut für Technische Chemie und Polymerchemie
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 days of reaction time. The data available here contains the final and processed tomographic volumes of the wire measured at two energies above and below the Rh K-edge, at 23300 eV and 23208 eV respectively. Each 3D volume has been stacked as slices in each TIFF file provided here.
This tomographic scanning transmission X-ray microscopy (STXM-CT) data was acquired at the P06 microprobe beamline of the PETRA III (Deutsches-Elektronen Synchrotron DESY, Hamburg). The sample measured during this experiment was a single wire extracted from the Pt/Rh gauzes aged under industrial ammonia oxidation conditions for 50 days of time on stream. A detailed description of the dataset can be found in the corresponding readme file and its associated publication.
Resonant STXM-CT on single wire extracted from Pt/Rh gauzes treated under ammonia oxidation conditions for 50 days
Two separate NETCDF containing time series of the Seasonal Location Index (SLI) and Rainfall Cluster index (RCI). These indices are the basis for the results presented in Seregina et al. (2020, DOI:). Both indices were calculated according the method of Riddle and Wilks (2013, DOI: 10.1002/joc.3429) from the Climate Hazards InfraRed Precipitation with Stations (CHIRPS, DOI: 10.1038/sdata.2015.66) for the time period 1981–2018 over the Greater Horn of Africa.
Time series of the Seasonal Location Index (SLI) and Rainfall Cluster Index (RCI) for the time period 1981–2018
Die nachlassende körperliche Leistungsfähigkeit von Kindern führt zu gesundheitlichen Risiken. Während die Einflussfaktoren auf eine reduzierte motorische Leistungsfähigkeit bisher größtenteils in Querschnittsstudien untersucht wurden, war das Ziel dieser Studie, die Entwicklung dieser Faktoren und ihrer Bedeutsamkeit für die motorische Leistungsfähigkeit über die Grundschulzeit zu analysieren. Dazu wurden von 83 Augsburger Grundschülern in der 2., 3. und 4. Klasse Daten zu Migrationshintergrund, Sozialstatus, Medienausstattung, Body-Mass-Index (BMI), Sportaktivität und motorischer Leistungsfähigkeit erhoben. Mehr als 60% der Kinder waren durchschnittlich mindestens einmal pro Woche im organisierten Sport aktiv. Die Medienausstattung im Kinderzimmer stieg von der 2. bis zur 4. Klasse deutlich an. In der 4. Klasse waren 21,6% der Kinder übergewichtig. Je niedriger der Sozialstatus war, desto höher war die Medienausstattung der Kinder. Der BMI war für Kinder mit Migrationshintergrund und niedrigem Sozialstatus bedeutsam erhöht. Über den gesamten Messzeitraum stellte der BMI den wichtigsten Prädiktor für die motorische Leistungsfähigkeit dar. Bis zur 4. Klasse wurden regelmäßige Sportaktivitäten und eine geringere Medienausstattung ebenfalls bedeutsam. Die Studie legt somit nahe, bereits im Grundschulalter viel dafür zu investieren, das Gesundheitsrisiko durch einen erhöhten BMI zu reduzieren, das sowohl unmittelbar, als auch durch eine verminderte Fitness offenkundig wird. Paus
Motorische Leistungsfähigkeit von Augsburger Grundschulkindern - Längsschnitt
Dataset of Driving Simulator Study about the influence of an emotionalizing Sound Design on Driving behaviour.
Fraunhofer-Institut für System- und Innovationsforschung
EFB (European Fitness Badge) Sport and Gymnastic organizations as well as scientific partners from ten institutions across eight European countries were involved in the development of the EFB. Organizations in participating countries offer completion of the EFB in different settings. The EFB has two TPs (Test Profiles) and participants are asked to choose one profile based on their level of physical activity. The level of physical activity is determined based on the N-Ex questionnaire that all participants are required to complete prior to the testing. N-Ex Questionnaire Participants are asked to choose one of five descriptions of usual physical activities during a normal week that best reflects their activity level. The questionnaire distinguishes between activity levels from 1 to 5. TP1 Test Profile 1 was designed for less active or older individuals and mainly assesses functional performance. TP2 (this data set) Test profile 2 addresses physically active people and is considered performance-oriented. The test performance is evaluated quantitatively using age- and gender-specific reference values in five categories [1?5] according to percentiles. The point values refer to quintiles: 1 point = percentile rank 0?20, 5 points = percentile rank 81?100. Based on their test performance, participants that complete TP2 receive an ?advanced? or ?approved? certificate. Below 11 points, a participation certificate is given out.
Health-Related Fitness in Adults From Eight European Countries?An Analysis Based on Data From the European Fitness Badge
Institut für Photogrammetrie und Fernerkundung, Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung
Institut für Photogrammetrie und Fernerkundung
Deutsches Zentrum für Luft- und Raumfahrt
# 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
### **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]
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
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)
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 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 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 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.
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.
Institut für Technikfolgenabschätzung und Systemanalyse (ITAS), Karlsruher Institut für Technologie (KIT)
Institut für Kolbenmaschinen (IFKM), Karlsruher Institut für Technologie (KIT)
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.
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
Institut für Angewandte Geowissenschaften
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
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 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 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.
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 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.
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.
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 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 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 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 Temnothorax kubira, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Acanthomyrmex 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 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.
Institut für Angewandte und Numerische Mathematik
Instructions: The scripts inside the subfolder are intended to reproduce the figures from the preprint Dynamical low-rank integrators for second-order matrix differential equations by Marlis Hochbruck, Markus Neher, and Stefan Schrammer Requirements The codes are tested with Ubuntu 20.04.2 LTS and Python 3.8.5 and the following version of its modules: numpy 1.19.2 scipy 1.5.2 numba 0.51.2 colorama 0.4.4 h5py 2.10.0 matplotlib 3.3.2 tikzplotlib 0.9.6 Generation of figures (tikz files containing the data are also created) In the folder homwave open a console and run the commands to create the data for Figure (1) python3 hom_planar.py to create Figure (1) python3 hom_planar_plots.py In the folder homwav open a console and run the commands to create the data for Figure (2) python3 hom_semi.py to create Figure (2) python3 hom_semi_plots.py
semilinear second-order matrix differential equations
second-order matrix differential equations
Numerical experiments for "Dynamical low-rank integrators for second-order matrix differential equations"
Processed micro-tomographic scan of the ant Fisheropone ambigua, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant 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.
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 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 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 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.
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.
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 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 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 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 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.
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.
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"
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 2004 - 2013
Processed micro-tomographic scan of the ant Cardiocondyla afrc-za08, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant 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 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 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 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.
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.
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.
Processed micro-tomographic scan of the ant Discothyrea patrizii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant 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 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 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.
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 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 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 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.
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 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 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 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 Kartidris sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Odontomachus hematodus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Aphaenogaster famelica, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant 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 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.
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 Crematogaster pinicola, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Strumigenys benten, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
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"
Atmosphärische Spurenstoffe und Fernerkundung
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 pollutant 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 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. Measurements of peroxyacetyl nitrate (PAN), ethane (C$_2$H$_6$), formic acid (HCOOH), methanol (CH$_3$OH), and ethylene(C$_2$H$_4$) show strong local enhancements up to altitudes of 14 km. More than 1000 pptv of PAN, more than 1400 pptv of C$_2$H$_6$, more than 600 pptv of HCOOH, more than 4000 pptv of CH$_3$OH, and more than 200 pptv of C$_2$H$_4$ are observed.
GLORIA data for: Biomass burning pollution in the South Atlantic upper troposphere: GLORIA trace gas observations and evaluation of the CAMS model
Institut für Thermische Verfahrenstechnik (TVT), Karlsruher Institut für Technologie (KIT)
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
Model code to "Strength of Disordered and Ordered Al‐containing Refractory High Entropy Alloys"
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
Die Daten sind im Format der Firma Gematronik gespeichert. Es handelt sich im Wesentlichen um ein XML-Format. Da die komprimierten Messdaten jedoch fälschlich XML-Tags enthalten können, müssen diese als BLOBs eingelesen werden. Einleseroutinen gibt es als open source bei der wradlib oder für Matlab bei jan.handwerker@kit.edu.
Base data (volume data in polar coordinates) of the dual-pol Doppler X-Band Radar Meteor50DX measured in the framework of MOSES measuring campaign "Hydrological Extremes" in 2019. Temporal resolution 5 minutes, 100 km range, 9 elevations from 0.7 to 30 degrees, additional scan at 90 degrees. Radar located close to Dittersdorf (lower wind turbine) 50.8232 deg N, 13.7974 deg E, 564.7 m ASL
Basisdaten (Volumendaten in Polarkoordinaten) des Dual-Pol Doppler X-Band Radars Meteor50DX im Rahmen der MOSES Messkampagne "Hydrologische Extreme" 2019. Zeitliche Auflösung 5 Minuten, 100 km Reichweite, 9 Elevationen von 0,7 bis 30 Grad, zusätzliche Elevation bei 90 Grad. Standort des Radars bei Dittersdorf (untere Windkraftanlage) 50.8232 deg N, 13.7974 deg E, 564.7 m ASL
Messdaten, X-Band-Niederschlagsradar in MOSES Messkampagne, 30.04.2019-22.07.2019
Institut für Thermische Strömungsmaschinen
This repository contains the supplementary data to our contribution "Particle Detection by means of Neural Networks and Synthetic Training Data Refinement in Defocusing Particle Tracking Velocimetry" to the 2022 Measurement Science and Technology special issue on the topic “Machine Learning and Data Assimilation techniques for fluid flow measurements”. This data includes annotated images used for the training of neural networks for particle detection on DPTV recordings as well as unannotated particle images used for training of the image-to-image translation networks for the generation of refined synthetic training data, as presented in the manuscript. The neural networks for particle detection trained on the aforementioned data are contained in this repository as well. An explanation on the use of this data and the trained neural networks, containing an example script can be found on GitHub (https://github.com/MaxDreisbach/DPTV_ML_Particle_detection)
Defocusing Particle Tracking Velocimetry
Particle Detection by means of Neural Networks and Synthetic Training Data Refinement in Defocusing Particle Tracking Velocimetry (data)
Elektrochemische Technologien (IAM-ET1), Karlsruher Institut für Technologie (KIT)
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*
The dataset shows the development of 82 surface defects (pits) over the operating time of Ball Screw Drives. The name of the images is structured as follows: XX_XX_YYMMDDHHMMSS_XX_XX. Here X is some identifier, which is not important in this context. The dataset is especially suited to investigate the development of surface defects on ball screw drive spindles. The dataset mainly addresses the machine learning research community for engineering and computer science to build intelligent models for surface defect detection and forecasting in the context of prognostics and health management (PHM). Each folder consists the evolution of one pit.
Evolution of Surface Defects on Ball Screw Drive Spindles for intelligent Prognostics and Health Management Systems
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)
3D Printing of Reactive Macroporous Polymers via Thiol-Ene Chemistry and Polymerization-Induced Phase Separation
EDL - Low-frequency Noise Characteristics of Inkjet-Printed Electrolyte-gated Thin-Film Transistors
Centre for Materials Science, Queensland University of Technology
Institute of Nanotechnology (INT), Karlsruhe Institute of Technology (KIT), Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany.
Microparticles, ortho-methyl benzaldehydes, methylisophthalaldehydes, polydiimides, light induced polymerization
Microspheres from Light – A Sustainable Materials Platform
Institut für Nanotechnologie, Karlsruhe Nano Micro Facility
Original raw data and analysis of 2D and 3D reconstruction based on phantoms. Detailed descriptions of the file types and the data are stored in a separate description.txt file.
Electron tomography (ET) has attracted significant attention for a quantitative analysis of mesoporous materials, especially for complex disordered pore structures, as no priori assumptions on the pore shape is needed, which is normally inevitable when using traditional bulk characterization techniques. However, a reliable quantification of such pore structure from ET highly depends on the fidelity of segmented reconstruction, which can be significantly affected, e.g. by the raw data quality, the limited tilting range, artifacts introduced during alignment and further depends the reconstruction algorithm. Therefore, we systematically investigate the reconstruction reliability of three main-stream algorithms including simultaneous iterative reconstruction technique (SIRT), total variation minimization (TVM) and discrete algebraic reconstruction technique (DART) for mesoporous materials using different imperfect (realistic) tilt-series based on a set of phantom simulations. We found that DART outperforms the other two methods in reliably revealing small pores and narrow channels, especially when the number of projections is strongly constrained. The accurate segmented reconstruction from DART makes it possible to achieve reliable quantification of pores structure, which in turn leads to reliable evaluation of effective diffusion coefficients. We discuss the influence of different acquisition and reconstruction parameters on the reconstructed 3D volume and the quantitative analysis of pore features. We aim to provide a practical guideline for optimizing acquisition and reconstruction parameters and how to evaluate the accuracy when describing the mesoporous structure.
Quantitative Analysis of Mesoporous Structures by Electron Tomography: A Phantom Study
# Secure logging from fault-tolerant aggregate signatures ## Information This is a simple implementation of the logging system described in "Practical and Robust Secure Logging from Fault-Tolerant Sequential Aggregate Signatures" (International Conference on Provable Security, 2017, [also available from the IACR E-Print-Server](https://eprint.iacr.org/2017/949)). ## Disclaimer This is an academic implementation used for benchmarking in the paper. Since this is the only purpose, this impelmentation is not well tested and reviewed for security and therefore should be used with caution. ## Used libraries - Boost unit test framework - [libpbc](https://crypto.stanford.edu/pbc/) with [pbcwrapper](https://crysp.uwaterloo.ca/software/PBCWrapper/) - [NTL](http://www.shoup.net/ntl/) ## Build instructions Make sure that boost, libpbc and NTL are installed. (The versions of libpbc and NTL used for the benchmarks reported in the paper can be found in the lib folder.) Then run: ``` mkdir build cd build cmake .. make ``` pbcwrapper will be built automatically during this process.
Implementation of Robust/Fault-Tolerant Secure Logging Scheme described in "Practical and Robust Secure Logging from Fault-Tolerant Sequential Aggregate Signatures" (International Conference on Provable Security, 2017, DOI: 10.1007/978-3-319-68637-0_6)
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 Odontomachus brunneus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant 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.
Institut für Produktionstechnik (WBK), Karlsruher Institut für Technologie (KIT)
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
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 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 Brachyponera luteipes, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant 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.
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
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"
Release notes: https://git.scc.kit.edu/mpp/mpp/-/tags/3.1.2
Release notes: https://gitlab.kit.edu/kit/mpp/mpp/-/releases/3.4.0
Processed micro-tomographic scan of the ant Leptogenys chinensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with 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 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 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 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.
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.
European High-Performance Computing Joint Undertaking EuroHPC (JU)
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 Allomerus decemarticulatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant 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 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.
Processed micro-tomographic scan of the ant Oecophylla smaragdina, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Formica fukaii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This 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 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 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 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 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 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.
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 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 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 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 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 Bothroponera talpa, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant 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.
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.
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 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.
This code is used for the numerical experiments in Section 6 of the preprint >"Full discretization error analysis of semilinear wave equations with exponential integrators" by Benjamin Dörich and Jan Leibold. The computations are done in C++ using the Finite Element library deal.II; the plots then are generated with Matlab. To use this code, deal.II (release 9.2.0) has to be installed, cf. https://www.dealii.org/9.2.0 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 ; make to compile the files. Finally, run the program with make run This performs the computations and generates files in the "output" folder containing the results of the numerical experiments. After that, the plots can be generated with the Matlab Script plot_figures.m An updated version of this dataset can be found at https://doi.org/10.5445/IR/1000141073
Numerical experiments to "Full discretization error analysis of semilinear wave equations with exponential integrators"
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.
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 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 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.
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 Biologische Grenzflächen (IBG), Karlsruher Institut für Technologie (KIT), Karlsruher Institut für Technologie (KIT), Karlsruher Institut für Technologie (KIT)
Institut für Biologische Grenzflächen (IBG), Karlsruher Institut für Technologie (KIT), Institut für Physikalische Chemie (IPC), 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)
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 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 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 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.
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
The data was processed using TopSpin software from Bruker, Germany
Direct Chiral discrimination with NMR: Experiment Dataset
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 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 Fig7 = 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 °) FigS3 = true stress-strain curves (in MPa and 1, respectively) FigS4 = 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 °) FigS5 = 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 FigS6 = 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 FigS7 = Electron backscatter diffraction maps as fully annotated *.ang file
Data from "Overcoming barriers for high temperature alloys: oxidation and ductility" revised
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
A neural operator-based surrogate solver for free-form electromagnetic inverse design
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
PRESLHY Experiment series 5.3; block ratio: 60%; initial temperature: approx. 80K (cold)
Differentiation and Cultivation of Retinal Cells in a Defined 3D Environment
Differenzierung und Kultivierung von retinalen Zellen in einer definierten 3D-Umgebung
Channel Geometry Scaling Effect in Printed Inorganic Electrolyte-Gated Transistors
This archive contains data presented in the manuscript “From Sea to Sky: Understanding the sea surface temperature impact on an atmospheric blocking event using sensitivity experiments with the ICOsahedral Nonhydrostatic (ICON) model” published in Weather and Climate Dynamics (Svenja Christ, Marta Wenta, Christian M Grams, and Annika Oertel, 2024, DOI: ). For this sensitivity study five simulations with the ICON model were conducted and analysed, whereby each experiment uses different prescribed sea surface temperature (SST) conditions. This data set contains (i) the initial SST fields of each experiment, and (ii) the warm conveyor belt (WCB) trajectory data from the ICON simulations of each experiment. For details on the SST initial fields, ICON simulations, and trajectory data, please refer to the original publication.
The data are in netCDF format and contain the following: (i) Global sea surface temperatures (SST, in K) for each experiment. The unperturbed SST originates from the OSTIA analysis and is used in the ECMWF IFS analysis on the 18. February 2019 at 00 UTC. The SST fields are remapped to the global unstructured ICON grid R03B07 (EXP000 – CNTRL). The five experiments include the following modifications to the original SST field: EXP000 – CNTRL: Original SST fields, remapped to ICON grid. EXP001 – IDEA: In this experiment, the SST field is smoothed with a Gaussian filter in the Gulf Stream region (80 to 25°W and 30 to 55°N). Thereby the SST front’s small-scale eddies are removed. EXP002 – WEAK: The SST gradient in the Gulf Stream region (80 to 25°W and 30 to 55°N) is reduced. EXP003 – P1.5K: The SST in the Gulf Stream region (80 to 25°W and 30 to 55°N) is increased by 1.5 K, while the SST gradient from IDEA in the Gulf Stream region is maintained. EXP004 – extWEAK: The SST gradient in the Gulf Stream region (80 to 25°W and 30 to 55°N) is strongly weakened, and the SST transitions gradually and cools progressively from the equator towards the higher latitudes. More detailed modifications of SST are described in detail in the publication and figures of the resulting SST and SST gradient fields are provided in the publication as well (Fig. 1). EXP000 – CNTRL (ifs_remap_R03B07_G_2019021800_EXP000.nc) EXP001 – IDEA (ifs_remap_R03B07_G_2019021800_EXP001.nc) EXP002 – WEAK (ifs_remap_R03B07_G_2019021800_EXP002.nc) EXP003 – P1.5K (ifs_remap_R03B07_G_2019021800_EXP003.nc) EXP004 – extWEAK (ifs_remap_R03B07_G_2019021800_EXP004.nc). (ii) warm conveyor belt (WCB) trajectory data of the five CON simulations are contained in the following data sets: EXPID_YYYYMMDD_HH.nc. WCB trajectories are started from a 50 km equidistant horizontal grid spanning the North Atlantic region between 80 to 25°W and 30 to 55°N. They are initiated from 10 chosen vertical levels within the lower-most 2 km, specifically at altitudes of 50, 200, 400, 600, 800, 1000, 1250, 1500, 1750, and 2000 m. The date in the file names (YYYYMMDD_HH) refers to the trajectory start time. WCBs are defined as trajectories with at least 500 hPa ascent in 48 h. WCB air parcel positions and characteristics are provided every 3-h. Variables traced along WCB trajectories are: time (in hours, relative to trajectory start), lon and lat (in °): air parcel longitude and latitude positions, z: air parcel altitude (in meter above sea level), P: pressure (in hPa), t_seasfc: SST (in K; this presents a 2D field traced along the lon/lat positions of WCB air parcels), lhfl_s: latent head flux (in W m-2; 2D field; negative fluxes are defined as upward fluxes), shfl_s: sensible heat flux (in W m-2; 2D field; negative fluxes are defined as upward fluxes), pres_msl: mean sea level pressure (in Pa; 2D field), pv: Potential vorticity (in pvu), temp: temperature (in K), qc: specific cloud water content (in g kg-1), qi: specific cloud ice content (in g kg-1), qr: rain mixing ratio (in g kg-1), qs: snow mixing ratio (in g kg-1), qv_1: specific humidity (in g kg-1).
Research data for "Understanding the sea surface temperature impact on an atmospheric blocking event using sensitivity experiments with the ICOsahedral Nonhydrostatic (ICON) model"
Data for A Multi-Scale Approach to Simulate the Nonlinear Optical Response of Molecular Nanomaterials
Institut für QuantenMaterialien und Technologien (IQMT), Karlsruher Institut für Technologie (KIT)
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
Observation of Chirality-Induced Roton-Like Dispersion in a 3D Micropolar Elastic Metamaterial
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 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 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 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 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.
Department of Physical and Theoretical Chemistry, Faculty of Natural Sciences, Comenius University Bratislava
Institute of Catalysis Research and Technology, Karlsruhe Institute of Technology
PtOOH MLFF-MD Thermodynamic Integrations
Processed micro-tomographic scan of the ant Tetramorium sericeiventre, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Carebara zengchengensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant 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.
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.
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.
Processed micro-tomographic scan of the ant Camponotus 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 Cyphomyrmex major, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Ectatomma ruidum, scanned at KIT Light Source. This dataset is part of 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 Informationsmanagement im Ingenieurwesen (IMI), Karlsruher Institut für Technologie (KIT)
# ACIIE – Asynchronous Collaboration in Immersive Environments **ACIIE** is a research framework for enabling **asynchronous collaboration** in XR (VR, AR, MR) environments. Originally developed by [Anjela Mayer](https://codeberg.org/anjela-mayer) as part of her PhD research, it leverages the built-in sensors of XR devices to capture users’ motion and voice. These recordings are then reconstructed through virtual characters, synchronizing voice and movement to replay explanations and actions during collaborative scenarios.> ACIIE is the second iteration of the ACIE framework and is now maintained and extended collaboratively by the [Immersive Creators](https://codeberg.org/ImmersiveCreators) for non-profit research purposes. --- ## 🧩 Purpose ACIIE is designed for **experimental XR applications** involving collaborative learning, training, and asynchronous communication. It enables the creation of immersive scenarios where users can interact across time via avatar-based motion and voice playback. It can also be used to create **NPC character animations** by recording natural user movement and speech with an XR device — requiring no traditional animation pipeline. --- ## 🔧 Technologies and Plugins - Built with **Unreal Engine** – currently targeting version **5.5** - Uses the [**Runtime Audio Importer**](https://github.com/gtreshchev/RuntimeAudioImporter) for microphone input, .wav file import/export, and audio playback - Integrated with **Metahuman 5.3+** for realistic full-body virtual characters - Employs **MetaXR Plugin v77** for localization, full-body motion tracking, and hand tracking> ⚠️ Cross-platform support via OpenXR is **in progress**. Currently, the system is tested primarily with **Meta XR devices** (e.g., Quest series). --- ## 🧪 Use Cases ACIIE has been applied in multiple XR research and training contexts: - 🎥 **PumpStationXR** – [Watch demo](https://youtu.be/vlojVAeedRc?si=DLnT5jbijSXH3uin) - 🎥 **XIRCON** – [Watch demo](https://youtu.be/ckKz_hrTQ2g?si=5ScCm23MI3ByaB_l) ### 🏅 Recognitions - Selected for the **ICM Early Ride Program 2024** - Winner of the **DIVR Best Concept Award 2024** - **4th Place** at the **KIT Neuland Innovation Contest 2025** --- ## 👩‍💻 Authorship ACIIE was created by **Anjela Mayer** during her PhD research. It is now maintained and extended by the **Immersive Creators** collective for academic and non-profit research.> Please cite this work appropriately if used in research. Git commit history reflects original authorship and contributions. --- ## 📄 Citation If you use ACIIE in your work, please cite: --- ## 📜 License This project is licensed under the **GNU General Public License v3.0 (GPLv3)**. © 2025 Anjela Mayer. Maintained by Immersive Creators. Dual licensing is available for non-GPL use cases. Please contact the maintainers for closed-source or commercial licensing terms. --- ## 🧾 Third-Party Dependencies This project includes third-party components under their respective licenses: - **Runtime Audio Importer** Developed by Georgy Treshchev Source: [gtreshchev/RuntimeAudioImporter](https://github.com/gtreshchev/RuntimeAudioImporter) License: [MIT License](https://github.com/gtreshchev/RuntimeAudioImporter/blob/main/LICENSE) - For details on third-party components, see [THIRD_PARTY_LICENSES.md](./THIRD_PARTY_LICENSES.md). --- ## 📫 Contact For collaboration or contributions, feel free to reach out: anjela.mayer@kit.edu ---
ACIIE is a research framework for enabling asynchronous collaboration in XR (VR, AR, MR) environments. Originally developed by Anjela Mayer as part of her PhD research, it leverages the built-in sensors of XR devices to capture users’ motion and voice. These recordings are then reconstructed through virtual characters, synchronizing voice and movement to replay explanations and actions during collaborative scenarios. This project is licensed under the GNU General Public License v3.0 (GPLv3).
ACIIE - Framework for Asynchronous Collaboration In Immersive Environments
# SriAS2 Practice H5P Standalone Zur Nutzung der SriAS 2 Practice Videos gibt es mehrere Möglichkeiten: 1. Hosten in einem Web-Server 2. Lokales Öffnen ohne Web-Server 3. Einbinden in eigene Webseite ## Hosten in einem Web-Server Die zip-Datei kann direkt in den Hosting-Ordner des Web-Servers entpackt werden und ist mit der enthaltenen `index.html` ohne weitere Konfiguration lauffähig. Besondere Anforderungen an den Web-Server existieren nicht. Ein einfaches Aufsetzen eines lokalen Web-Servers ist z.B. mit folgenden Programmen möglich: * Node.js, Modul [http-server](https://www.npmjs.com/package/http-server) * Python 2, Modul [SimpleHttpServer](https://docs.python.org/2/library/simplehttpserver.html) * Python 3, Modul [http.server](https://docs.python.org/3/library/http.server.html) * [XAMPP](https://www.apachefriends.org/de/index.html) ## Lokales Öffnen ohne Web-Server Moderne Browser verhindern aus Sicherheitsgründen das Ausführen der Videos, wenn diese nicht von einem Web-Server gehostet werden. Um sich die Videos trotzdem durch ein einfaches Öffnen der Datei `index.html` angucken zu können, müssen diese Sicherheitseinstellungen geändert werden. [Mozilla Firefox](https://www.mozilla.org) erlaubt ein einfaches Umstellen der entsprechenden Einstellung. 1. Öffnen der Webseite [about:config](about:config) 2. Die Warnmeldung bestätigen 3. Nach `privacy.file_unique_origin` suchen 4. Durch einen Doppelklick den Wert von `true` auf `false` ändern Diese Einstellung sollte nach dem Angucken der Videos wieder zurück auf `true` geändert werden. ## Einbinden in eigene Webseite Das Einbinden in eine HTML-Datei ist mit folgendem Code möglich, die Datei `index.html` dient hier als praktisches Beispiel. Die Pfade müssen entsprechend auf den tatsächlichen Ort der gehosteten Dateien angepasst werden. ```html ```
Unter Verwendung der im ZIP-File bereitgestellten Informationen bzw. Anwendungen, lassen sich die im Forschungsverbund zur Selbstregulation im Alltag von Studierenden (SriAS 2 Practice, gefördert vom BMBF) produzierten Kurzvideos miteinander verknüpfen. Sofern die vier Videos der Serie (siehe Verweise zur Relation) gemeinsam präsentiert werden sollen, lässt sich die Verknüpfung unter Verwendung der hier bereitgestellten Sekundärinformation umsetzen.
Allgemeines, Hochschulwesen, Wissenschaft und Forschung
Appendix (SriAS2Practice): Code & Daten zur Verknüpfung der Videos bei Veröffentlichung auf einem Web-Server (aktualisierte Version)
Weil sich die globale und lokale Klimaproblematik verschärft, wird zunehmend von sogenannten Nachhaltigkeitsdilemmata gesprochen. Im engeren Sinne ist ein Dilemma eine Entscheidungssituation zwischen (mindestens) zwei Alternativen, in der jede Entscheidung negative Konsequenzen nach sich zieht und eine Priorisierung der Auswahloptionen nicht eindeutig begründbar ist. Nachhaltigkeitsdilemmata treten als komplexe Entscheidungssituationen, in denen soziale, ökonomische und ökologische Aspekte berücksichtigt werden müssen, auf verschiedenen Ebenen von Nachhaltigkeitsstrategien auf. Bei konkreten Maßnahmen finden sie sich in strategische und moralische Konflikte, die durch unvollständiges Wissen erschwert werden.
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 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 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.
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.
The files contain the precipitation, Integrated Water Vapor (IWV) and specific humidity data from the COSMO model for the mentioned publication
Model data to "The impact of GPS and high-resolution radiosonde nudging on the simulation of heavy precipitation during HyMeX IOP6" by Caldas-Alvarez et al., (2021)
Processed micro-tomographic scan of the ant Aphaenogaster gracillima, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Prionopelta punctulata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Lordomyrma sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant 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.
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 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 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 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.
Processed micro-tomographic scan of the ant Formica truncorum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Nylanderia okm02, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with 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.
Processed micro-tomographic scan of the ant Temnothorax curvispinosus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with 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 badius, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Temnothorax xanthos, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant 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.
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 Cephalotes maculatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Stigmatomma fulvidum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant 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 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 Odontomachus haematodus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with 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 rottenbergii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Harpegnathos saltator, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
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)
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"
Institut für Meteorologie und Klimaforschung Atmosphärische Aerosolforschung (IMKAAF), Karlsruher Institut für Technologie (KIT)
The data is related to the publication: Brunamonti, S., Saathoff, H., Hertzog, A., Diskin, G., Fujiwara, M., Rosenlof, K., Möhler, O., Tuzson, B., Emmenegger, L., Amarouche, N., Durry, G., Frérot, F., Samake, J.-C., Cenac, C., Lopez, J., Monnier, P., and Ghysels, M.: The AquaVIT-4 intercomparison of atmospheric hygrometers, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2025-1029, 2025. The data is sorted according to the date of measurement with the blind intercomparison conducted during 4 days from 2022-04-04 to 2022-04-07 and the open intercomparison conducted from 2022-03-29 to 2022-04-01. The files labeled AIDA-pt contain the pressure and temperature data during the experiments. The water mixing ratios measured by the individual instruments are given in the following files including the names of the instruments.
Data of the AquaVIT-4 intercomparison of atmospheric hygrometers which was conducted at the AIDA climate simulation chamber of the Karlsruhe Institute of Technology (KIT), Germany, in March–April 2022, within the framework of the HEMERA H2020 EU project. The objectives were to document the performance of existing hygrometers and to support the development of novel methods for water vapor (H2O) measurements in the upper atmosphere. The AquaVIT-4 intercomparison involved seven hygrometers, based on either infrared laser absorption spectroscopy or frostpoint hygrometry techniques: four deployed on aircraft or stratospheric balloon platforms, and three reference instruments. The simulated conditions in the AIDA chamber reproduced the characteristic atmospheric conditions of the upper troposphere-lower stratosphere (UTLS, altitude range ~5–28 km) in the tropics and mid-latitudes, spanning between 20–600 hPa pressure, 190–245 K temperature, and 0.5–530 ppm H2O mixing ratio. The campaign was divided into two phases, each consisting of four measurement days: an “open intercomparison”, where the simulated conditions were known to the participants, and a “blind intercomparison”, where the conditions were coordinated by independent referees and unknown to the participating teams. Here we present a statistical analysis of the entire dataset, which allows to assess the accuracy and limitations of each instrument. For the accuracy evaluation, two sets of reference measurements were defined: one for in situ instruments, located inside the AIDA vessel, and one for extractive instruments, sampling the chamber gas through a heated inlet. This distinction accounts for H2O desorption effects, which are most prominent at low pressures and low H2O concentrations. All instruments showed a good agreement with the reference values in the range of H2O > 2 ppm, with mean deviations within ±7 % for H2O > 10 ppm, and ±8 % between 2–10 ppm H2O. The largest differences were found for H2O < 2 ppm, a rarely observed range in the atmosphere, though most of the instruments still achieved average deviations within ±10 %. Overall, the results of AquaVIT-4 demonstrate the high accuracy and reliability of the four involved sensors for upper atmospheric monitoring and research applications.
Dataset for the AquaVIT-4 intercomparison of atmospheric hygrometers
Institut für Mechanische Verfahrenstechnik und Mechanik (MVM), Karlsruher Institut für Technologie (KIT)
The development of alternative processes for fabricating functional semiconductor nanomaterials and precisely controlling their properties is of significant scientific interest across various domains. A key driver is the energy transition, where the growing demand for semiconductors is challenged by the limited availability of rare-earth-based materials, which are essential for high-efficiency solar cells and sustainable electronics. Zinc oxide (ZnO), a well-established wide-bandgap semiconductor, can be transformed into a transparent conductive oxide (TCO) through aluminum doping. As a result, aluminum-doped ZnO (AZO) presents a cost-effective alternative to indium tin oxide (ITO) for transparent electrode applications. To investigate the properties of AZO nanoparticles during sol-gel synthesis, a multiscale characterization approach was developed. A combination of small-angle X-ray scattering (SAXS), dynamic light scattering (DLS), energy-dispersive X-ray spectroscopy (EDX), and image analysis, facilitated by transmission electron microscopy (TEM), scanning electron microscopy (SEM), and high-angle annular dark-field imaging (HAADF-STEM), along with gravimetric analysis and UV-Vis spectroscopy, provided comprehensive insights into AZO morphology and material properties. This included the hierarchical evolution of particle size, number and mass concentration, AZO composition, morphology, and bandgap. The complete experimental dataset is openly published to support further research and development in the field.
The attached raw data include TIF, Excel, and TXT files, which are widely compatible with most software and suitable for further processing.
hierarchical nanostructure characterization
Experimental data of aluminum-doped ZnO nanocrystal synthesis and characterization
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
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"
Direct numerical simulation (DNS) is used to systematically investigate the applicability of minimal channel approach for the characterization of double-averaged velocity and temperature profiles in irregular rough surfaces. Roughness is generated mathematically using a random algorithm, in which the power spectrum (PS) and probability density function (PDF) of the surface height function can be prescribed. 12 different combinations of PS and PDF are examined at $Re_\tau$=500.
These files contain the data used in the publication: “Study of irregular roughness in minimal channels” J. Yang, A. Stroh, S. Jakirlic, B. Frohnapfel and P. Forooghi published in proceeding ETMM13 doi: 10.5445/IR/1000140429 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 and zero-temperature boundary conditions at the upper and lower domain wall. The flow is driven by a prescribed constant pressure gradient (CPG), a heat source term is added to the flow. 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. The naming convention of the data in this database follows the JFM publication "DNS-based characterization of pseudo-random roughness in minimal channels" DOI: 10.1017/jfm.2022.33. 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 Study of irregular roughness in minimal channels
Electrical Conductivity and Photodetection in 3D-Printed Nanoporous Structures via Solution-Processed Functional Materials
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"
Assessing the optical configuration of a structured light scanner in metrological use (data)
Operational convection-permitting COSMO/ICON ensemble predictions at observation sites (CIENS): Runs at 12 UTC. Further includes observational data base. For more information, see the corresponding Github-repository at https://github.com/slerch/CIENS.
Institute of Nanotechnology (INT), Karlsruhe Institute of Technology (KIT), Hermann-von-Helmholtz-Platz 1, 76344 Eg-genstein-Leopoldshafen, Germany.
Cryo Electron Microscopy, BioQuant, Heidelberg University and University Hospital, Im Neuenheimer Feld 267, 69120 Heidelberg, Germany
Polyradicals, magnetic polymers, magnetic beads, stable neutral radicals, chemical distributions, analytical TEM
Direct Visualization of Homogeneous Chemical Distribution in Functional Polyradical Microspheres
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
Data from SBO21_new campaign taking place from 2021-12-28 - 2022-10-15 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).
Portable Ice Nucleation Experiment, PINE, Ice-nucleating particle, INP, ice nucleation, PIA Software
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).
Institut für Strömungsmechanik (ISTM), Karlsruher Institut für Technologie (KIT)
Engler-Bunte-Institut (EBI), Karlsruher Institut für Technologie (KIT)
The data used for the figures in the publication "The interaction between particle clustering and iron particle cloud combustion in homogeneous isotropic turbulence" is provided. It is postprocessed from the raw output of carrier-phase direct numerical simulations (CP-DNS) of iron particles combusting in a homogeneous isotropic turbulent air flow. For each figure the data is provided in a corresponding subfolder, only Figure 3 and 6 share a folder since it consists of very similar data. The detailed format of the data is specific to each figure and documented in the files README.md in the corresponding subfolders.
We perform carrier-phase direct numerical simulations (CP-DNS) to investigate the interaction of iron particle cloud combustion and clustering through turbulence. A pseudo spectral multi-phase solver in combination with a point particle iron reaction model is used, capturing mass, heat and momentum transfer between the phases. We investigate the combustion of 10 µm-sized iron particles with air, in homogeneous isotropic turbulence (HIT) at Stokes number one, varying the equivalence ratios from lean ($\phi=0.1$) to fuel-rich ($\phi=2$). At the start, the particles are homogeneously distributed with a temperature below particle ignition temperature. Particle clusters form through turbulence and ignite. While in the very lean regime ($\phi<0.25$) the $\mathrm{O_2}$ diffusion through the particle boundary layer limits the conversion of $\mathrm{Fe}$ to $\mathrm{FeO}$, for $\phi>0.5$, the oxygen depletion in clusters slows down the overall oxidation progress, and the conversion is limited by the transport of oxygen from regions devoid of particles into clusters. This observation from numerical simulation is supported by a time-scale analysis of the effects involved. We also quantify particle clustering through a Voronoi tessellation and show that through combustion, particle clusters become more prominent. This is caused by two effects. First, if the reacting particles are spaced closely enough to create a local lack of oxygen, a fluid flow is triggered from the regions devoid of particles into clusters. This flow carries particles into the cluster region. Second, finite-size particles cannot follow the fast thermal fluid expansion caused by the exothermic particle reaction as well as the slower compression through heat losses to colder areas.
The interaction between particle clustering and iron particle cloud combustion in homogeneous isotropic turbulence
Institut für Anorganische Chemie (AOC), Karlsruher Institut für Technologie (KIT)
Lithiumrecycling aus Batteriematerialien mit einem mechanochemischen Ansatz
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 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.
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
Atmospheric Composition, H2O, HDO, Water Vapour, Water Vapour Isotopologues
Data for "A Lagrangian perspective on stable water isotopes during the West African Monsoon"
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.
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 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.
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''
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.
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.
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
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 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 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.
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.
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).
Data for "Disentangling different moisture transport pathways over the eastern subtropical North Atlantic using multi-platform isotope observations and high-resolution numerical modelling"
Processed micro-tomographic scan of the ant Ophthalmopone berthoudi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Discothyrea 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 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.
This program is intended to reproduce the results from the preprint "Error bounds for discrete minimizers of the Ginzburg–Landau energy in the high-$\kappa$ regime" by Benjamin Dörich and Patrick Henning The codes generates the lines in Figures2 and 3 #### Requirements The program is tested with Ubuntu 20.04.5 LTS and Python 3.8.10 and the following version of its modules: - numpy - 1.17.4 - scipy - 1.3.3 - matplotlib - 3.1.2 - tikzplotlib - 0.9.8 - dolfin - 2019.2.0.dev0 - fenics - 2019.2.0.dev0 #### Figures In the folder "code_23_DoerichHenning_GL" open a console and run the following commands after each other (2a+b, 4a+b can be executed in paralell). 1) Run "python3 c1_generate_rectangle.py" 2a) Run "python3 c2a_GL_FEM_comp_all_min_finest.py" 2b) Run "python3 c20_GL_FEM_comp_kappa20.py" 3) Run "python3 c2b_GL_FEM_comp_all_min.py" 4a) Run "python3 c3a_GL_FEM_comp_all_errors.py" 4b) Run "python3 c3b_GL_FEM_comp_all_eigs.py" 5) Run "python3 c4_GL_FEM_draw_error_plot.py" After running the calculations, the files are stored as follows: (a) the folder "plots_for_paper" contains the pdf and tikz files for the error plots in Figure 2 and 3. (b) the folders "sol_ref_3_Mag_st_2.0_kappa_[KAPPA]_P1_square" contain all figures of the solutions where [KAPPA] is replaced by the respective value.
Numerical experiments for "Error bounds for discrete minimizers of the Ginzburg-Landau energy in the high-κ regime" (v2)
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 Acanthoponera mucronata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Prionopelta amabilis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant 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.
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"
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
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 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 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 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 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 Tetraponera mocquerysi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pheidole bicarinata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant 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.
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 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 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 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 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.
# 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`.
Processed micro-tomographic scan of the ant Cataulacus sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant 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 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 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 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 Melissotarsus emeryi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Camponotus sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant 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.
Die Versuche wurden in einer Borosilikatglaskapillare mit einem inneren Querschnitt von 2 mm × 2 mm durchgeführt. Die Taylor-Strömung wurde mit einer Injektionsnadel im co-flow erzeugt. Am Eintritt wurde das Verhältnis der Gas- und Flüssigvolumenströme, die Gesamtleerrohrgeschwindigkeit, sowie das Verhältnis von CO2 zu N2 in der Gasphase variiert. Es wurde mit 1 M und 2 M Natronlauge gearbeitet. Die Konzentrationsprofile wurden nur im Flüssigkeitspfropfen zwischen den Blasen aufgenommen. Es handelt sich um zwei Datensätze: erstens die in-situ mit dem Raman-Analyse-System ermittelten Konzentrationsprofile des Karbonats und des Bicarbonats und ergänzend die offline ermittelte Blasengröße. Konzentrationsprofile - RamanData.csv: Die Ausdehnung des Detektionsvolumen der konfokalen Optik des Laser-Raman-Systems wurde experimentell zu 15 μm × 15 μm × 70 μm bestimmt. Die Messdauer wurde durch die Pulsdauer des Lasers von 10 μs definiert. Die Produkte Karbonat und Bikarbonat konnten mit einer Nachweisgrenze von 0,04 mol/L bzw. 0,05 mol/L detektiert werden. Mit dem Schattenverfahren betrug die Messunsicherheit 3 % für Sluglänge und Blasengeschwindigkeit bzw. 8 % für die Bestimmung der Position des Messpunktes relativ zur Blase. Die Genauigkeit konnte mit dem holographischen Verfahren um Faktor zwei verbessert werden. Bei der reproduzierbaren Taylor-Strömung ermöglicht die Analyse einer Vielzahl an Messpunkten die Rekonstruktion der Konzentrationsfelder im Slug um die Blase. Der Datensatz enthält 22880 Messpunkte mit den folgenden Daten: 1: 'expNo' bezieht sich auf die in der Dissertationsschrift veröffentlichte Nummerierung der verschiedene Versuchsbedingungen 2: 'distancez(height)' Abstand zur Kontaktierung von Gas und Flüssigkeit / mm 3: 'distancey(lateral)' Versatz lateral zum Kanalzentrum in mm (siehe Abb. 7.14, S. 182 in der Dissertationsschrift) 4: 'distancex(frontal)' Versatz frontal zum Kanalzentrum in mm (siehe Abb. 7.14, S. 182 in der Dissertationsschrift) 5: 'Konz. CO3in mol/l' mit dem Raman-System ermittelte Karbonatkonzentration in mol/L 6: 'Konz. HCO3mol/L' mit dem Raman-System ermittelte Bikarbonatkonzentration in mol/L 7: 'distanceto cap' Abstand des Messpunkts zur Blasenkappe der nachfolgenden Blase in μm 8: 'distanceto tail' Abstand des Messpunkts zum Blasenende der vorangehenden Blase in μm 9: 'sluglengthin um' Sluglänge in μm 10: 'velocityin m/s' Geschwindigkeit der Blase in m/s 11: 'J*_NaOHin ml/min' Volumenstrom der Natronlauge am Kanaleintritt in mL/min 12: 'NaOH_invalue in mol/l' Konzentration der Natronlauge am Kanaleintritt in mol/L 13: 'J*_N2in ml/min' Volumenstrom des Stickstoffs am Kanaleintritt in mL/min 14: 'J*_CO2in ml/min' Volumenstrom des Kohlenstoffdioxids am Kanaleintritt in mL/min 15: 'Temp.inlet gas' Temperatur des Gasgemisches am Kanaleintritt in °C 16: 'Temp.inlet liquid' Temperatur der Natronlauge am Kanaleintritt in °C 17: 'Temp.outlet' Temperatur am Kanalaustritt in °C 18: 'Datum' Aufnahmedatum des Messpunkts Blasenlänge - BubbleLength.csv: Die Blasenlänge wurde im Anschluss an die Raman-Messungen mithilfe einer Spiegelreflexkamera (Canon EOS 400D Digital, 3888 × 2592 Pixel, Verschlusszeit 1/200 s, Blitzdauer 80 μs) untersucht. Für jedes Experiment wurde aus mehreren Bildern die Blasenlänge abhängig vom Abstand zur Kontaktierung ermittelt. Der Dataframe enthält für jedes Experiment mit expNo X und den Eingangsbedingungen entsprechend des ersten Dataframes den Abstand des Blasenzentrums der betrachteten Blase zur Kontaktierung 'expX_y/mm' in mm und die Blasenlänge 'expX_lB/mm' in mm. 1: 'exp1_y/mm' 2: 'exp1_lB/mm' 3: 'exp2_y/mm' 4: 'exp2_lB/mm' 5: 'exp3_y/mm' 6: 'exp3_lB/mm' 7: 'exp4_y/mm' 8: 'exp4_lB/mm' 9: 'exp5_y/mm' 10: 'exp5_lB/mm' 11: 'exp6_y/mm', 12: 'exp6_lB/mm', 13: 'exp7_y/mm', 14: 'exp7_lB/mm' 15: 'exp8_y/mm' 16: 'exp8_lB/mm' 17: 'exp9_y/mm' 18: 'exp9_lB/mm' 19: 'exp10_y/mm' 20: 'exp10_lB/mm' 21: 'exp11_y/mm' 22: 'exp11_lB/mm' 23: 'exp12_y/mm' 24: 'exp12_lB/mm' 25: 'exp13_y/mm' 26: 'exp13_lB/mm' 27: 'exp14_y/mm' 28: 'exp14_lB/mm' 29: 'exp15_y/mm' 30: 'exp15_lB/mm' 31: 'exp16_y/mm' 32: 'exp16_lB/mm' 33: 'exp17_y/mm' 34: 'exp17_lB/mm' 35: 'exp18_y/mm' 36: 'exp18_lB/mm' 37: 'exp19_y/mm' 38: 'exp19_lB/mm' 39: 'exp20_y/mm' 40: 'exp20_lB/mm' 41: 'exp21_y/mm' 42: 'exp21_lB/mm' 43: 'exp22_y/mm' 44: 'exp22_lB/mm' 45: 'exp23_y/mm' 46: 'exp23_lB/mm' 47: 'exp24_y/mm' 48: 'exp24_lB/mm' 49: 'exp25_y/mm' 50: 'exp25_lB/mm' 51: 'exp26_y/mm' 52: 'exp26_lB/mm' Details zum Versuchsaufbau, den Auswerteroutinen sowie den Messunsicherheiten sind der zugehörigen Dissertationsschrift und den Veröffentlichungen zu entnehmen.
This data set was collected as part of the priority program "Reactive Bubbly Flows" of the German Research Foundation. The chemical absorption of CO2 in sodium hydroxide solution in a borosilicate glass capillary with a cross-section of 2 mm × 2 mm was considered. The experimental conditions led to the formation of the reactive gas/liquid Taylor flow, a stable and reproducible flow pattern Using a specially adapted laser Raman analysis system, the concentration profiles of the products carbonate and bicarbonate in the plug between the bubbles could be determined. The two techniques, Mach-Zehnder off-axis holography and the direct shadow method, were used equivalently and synchronized to the Raman system to acquire additional information regarding bubble size and velocity as well as the position of the Raman measurement relative to the bubble. The temporally and spatially resolved measurements experimentally collected in this work form the basis for a better understanding of gas/liquid reactions. They will be used to validate existing and new three-dimensional CFD models that consider hydrodynamics, mass transfer and transport as well as reaction and their interaction in the Taylor flow.
Dieser Datensatz wurde im Rahmen des Schwerpunktprogramms „Reaktive Blasenströmungen“ der Deutschen Forschungsgemeinschaft erhoben. Betrachtet wurde die chemische Absorption von CO2 in Natronlauge in einer Borosilikatglaskapillare mit einem Querschnitt von 2 mm × 2 mm. Die vorliegenden Versuchsbedingungen führten zur Ausbildung der reaktiven Gas/Flüssig-Taylor-Strömung, einer stabilen und reproduzierbaren Strömungsform. Mithilfe eines speziell adaptierten Laser-Raman-Analysesystems konnten die Konzentrationsprofile der Produkte Karbonat und Bikarbonat im Pfropfen zwischen den Blasen ermittelt werden. Die beiden Techniken, Mach-Zehnder-Off-Axis-Holographie und das direktes Schattenverfahren, wurden äquivalent verwendet und auf das Raman-System synchronisiert. So konnten zusätzliche Informationen bezüglich der Blasengröße und -geschwindigkeit sowie der Position der Raman-Messung relativ zur Blase erfasst werden. Die im Rahmen dieser Arbeit experimentell erhobenen zeit- und ortsaufgelösten Messungen bilden die Grundlage für ein besseres Verständnis von Gas/Flüssig-Reaktionen. Sie sollen zur Validierung bestehender und neuer dreidimensionaler CFD-Modelle dienen, welche die Hydrodynamik, den Stoffübergang und -transport sowie die Reaktion und deren Zusammenspiel bei der Taylor-Strömung berücksichtigen.
CO2-Absoption in Natronlauge bei der Taylor-Strömung in Millikanälen - Konzentrationsprofile im Slug
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
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"
Raw Data behind publication "Waviness Affects Friction and Abrasive Wear"
Raw Data to Publication in Tribology Letters "Waviness Affects Friction and Abrasive Wear"
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 Discothyrea kamiteta, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Solenopsis afrc-za06, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant 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 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.
This code is used for the numerical experiments in Section 6 of the paper "Full discretization error analysis of semilinear wave equations with exponential integrators" by Benjamin Dörich and Jan Leibold. The computations are done in C++ using the Finite Element library deal.II; the plots then are generated with Matlab. To use this code, deal.II (release 9.2.0) has to be installed, cf. https://www.dealii.org/9.2.0 In order to compile the program, open a terminal session in this folder and call "cmake -DDEAL_II_DIR=/path/to/deal.II .". Next, call "make release" and then "make" to compile the files. Finally, run the program with "make run". This performs the computations and generates files in the "output" folder containing the results of the numerical experiments. Note that the computations take several hours to a few days depending on the computer. After that, the plots can be generated with the Matlab Script 'plot_figures.m'.
Numerical experiments to "Full discretization error analysis of semilinear wave equations with exponential integrators" (Version 2)
Bundesministerium für Verkehr und digitale Infrastruktur
Deutsches Mobilitätspanel (MOP) - Statistiken zur Alltagsmobilität sowie zu Fahrleistung und Kraftstoffverbrauch 2003 - 2012
# How to build 1. Clone the relic repository from https://github.com/relic-toolkit/relic into this directory 2. run `configure_relic.sh` 3. run `make release`
This is the proof-of-concept implementation used for the benchmarks presented in the PoPETs publication "Black-Box Wallets: Fast Anonymous Two-Way Payments for Constrained Devices"
Proof-of-Concept Implementation of "Black-Box Wallets: Fast Anonymous Two-Way Payments for Constrained Devices" used for benchmarks in the paper
ICON-ART data: Dispersion and Aging of Volcanic Aerosols after the La Soufrière Eruption in April 2021 (Part 2/3)
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 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.
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 Hypoponera nippona, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant 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 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 Messor luebberti, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pheidole scolioceps, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Discothyrea banna, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Carebara okm02, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Leptogenys birmana, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Polyrachis bihamata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Lachnomyrmex victori, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant 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 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 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.
2 Inverse vulcanization of norbornenylsilanes
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
Reconstructed ptychographic X-ray computed tomography data sets acquired at Swiss Light Source, Beamline cSAXS (proposal MG24079-1) of the dried gels Al2O3-dr and NiAl2O3-dr and the calcined samples Al2O3-calc and NiAl2O3-calc of the identical particles. Detailed information regarding sample preparation and experimental conditions are available in the respective publication and electronic supplementary information.
The data contains the reconstructed tomogram slices in a ".tiff" format as delta contrast tomogram. The correction of the delta tomogram and calculation of the electron density tomogram has to be done as described in the ".txt" files. Information about required offset correction of the electron density tomograms is provided in the respective publication. Reconstructed X-ray ptychography projections were tomographically reconstructed using the Matlab script of the cSAXS group of the Swiss Light Source, as published in DOI:10.5281/zenodo.3539550 and DOI:10.1364/OE.27.036637. Ptychographic projections were obtained as described in the respective publication and electronic supplementary information.
Reconstructed ptychographic X-ray computed tomography data sets of the dried gel Ni/Al$_{2}$O$_{3}$-dr, Al$_{2}$O$_{3}$-dr samples and the calcined samples Ni/Al$_{2}$O$_{3}$-calc, Al$_{2}$O$_{3}$-calc
These are the experimental data for the paper> Ordoni, Elaheh, Jakob Bach, and Ann-Katrin Fleck. "Analyzing and Predicting Verification of Data-Aware Process Models -- a Case Study with Spectrum Auctions" Check our [GitHub repository](https://github.com/Jakob-Bach/Analyzing-Auction-Verification) for the code and instructions to reproduce the experiments. - `result[0-5].csv`: The output of the iterative verification procedure, input to `prepare_dataset.py` (which pre-processes and consolidates the dataset). - `auction_verification_large.csv`: The output of `prepare_dataset.py` (consolidated dataset), input to `run_experiments.py` (the experimental pipeline). - `prediction_results.csv`: The output of `run_experiments.py` (full numeric experimental results), input to `run_evaluation.py` (which prints statistics and creates the plots for the paper).
These are the experimental data for the paper> Ordoni, Elaheh, Jakob Bach, and Ann-Katrin Fleck. "Analyzing and Predicting Verification of Data-Aware Process Models--A Case Study With Spectrum Auctions" published by [*IEEE Access*](https://ieeeaccess.ieee.org/) in 2022. You can find the paper [here](https://www.doi.org/10.1109/ACCESS.2022.3154445) and the code [here](https://github.com/Jakob-Bach/Analyzing-Auction-Verification). See the `README` for details. From the raw experimental data, we also extracted and pre-processed a smaller dataset that is suitable for training prediction models. This prediction dataset is available under the name `Auction Verification` in the [UCI Machine Learning Repository](https://archive-beta.ics.uci.edu/ml/datasets/auction+verification).
Experimental data for the paper "Analyzing and Predicting Verification of Data-Aware Process Models -- a Case Study with Spectrum Auctions"
In-situ quantitative phase imaging during multi-photon laser printing
Web measurement studies can shed light on not yet fully understood phenomena and thus are essential for analyzing how the modern Web works. This often requires building new and adjusting existing crawling setups, which has led to a wide variety of analysis tools for different (but related) aspects. If these efforts are not sufficiently documented, the reproducibility and replicability of the measurements may suffer---two properties that are crucial to sustainable research. In this paper, we survey 117 recent research papers to derive best practices for Web-based measurement studies and specify criteria that need to be met in practice. When applying these criteria to the surveyed papers, we find that the experimental setup and other aspects essential to reproducing and replicating results are often missing. We underline the criticality of this finding by performing a large-scale Web measurement study on4.5 million pages with 24 different measurement setups to demonstrate the influence of the individual criteria. Our experiments show that slight differences in the experimental setup directly affect the overall results and must be documented accurately and carefully.
This dataset holds additional material to the paper "Reproducibility and Replicability of Web Measurement Studies" submitted to the ACM Web Conference 2022. It contains the measurement data (requests, responses, visited URLs, cookies, and LocalStorage objects) we have collected from 25 different profiles. All data is in CSV format (exported from the Google BigQuery service) and can be imported into any database. Table sizes (according to Google BigQuery): Cookies: 2.8 GB LocalStorage: 6 GB Requests: 626.6 GB Responses: 501.6 GB URL: 38 MB Visits: 935 MB Note: Although our paper does not include the analysis for the collected Cookie and LocalStorage objects, we publish them for further studies. You can find further information about our study on [our repository in GitHub](https://github.com/awareseven/Reproducibility-and-Replicability-of-Web-Measurement-Studies).
Reproducibility and Replicability of Web Measurement Studies
Institut für Fördertechnik und Logistiksysteme
The project folder contains three packages: * The package “main” implements the main classes of the project, including the class for the analysis of the output stream of the discrete-time M/G/1-queue, and the discrete-time semi-Markov models. * The package “sim” implements the discrete-event simulation model for verification. * The package “tools” provides an array of classes that provide essential tools such as algebraic utilities, input parsing, and output generation. Additionally, the project folder contains the package "data" with two data sets: * Data set for the analysis of the output dynamics of discrete-time M/G/1-queues. Within this data set, each of three distinct service time variability levels (no variability, low variability, and high variability) is systematically combined with the set of five utilization parameters. * Data set for the analysis of discrete-time tandem queues with semi-Markov arrivals. The data set contains input data with low and high service time variability in five utilization parameters.
This repository hosts the research software designed for the analysis of the output dynamics of the discrete-time M/G/1-queue and for analyzing discrete-time open tandem queues with Poisson arrivals and semi-Markov departure processes. The software is implemented in Java.
Discrete-time semi-Markov models for the analysis of dependent departure and arrival streams
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
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)
Institut für Prozessdatenverarbeitung und Elektronik (IPE), Karlsruher Institut für Technologie (KIT)
Institut für Programmstrukturen und Datenorganisation (IPD), Karlsruher Institut für Technologie (KIT), Institut für Prozessdatenverarbeitung und Elektronik (IPE), Karlsruher Institut für Technologie (KIT)
Battery degradation is critical to the cost-effectiveness and usability of battery-powered products. Aging studies can help to better understand and model degradation and to optimize the operation strategy. Nevertheless, there are only a few comprehensive and freely available aging datasets for these applications. To our knowledge, the dataset presented in the following is one of the largest published to date. It contains over 3 billion data points from 228 commercial NMC/C+SiO lithium-ion cells aged for more than a year under a wide range of operating conditions. We investigate calendar and cyclic aging and also apply different driving cycles to some of the cells. The dataset includes result data (such as the remaining usable capacity or impedance measured in check-ups) and raw data (i.e., measurement logs with two-second resolution). The data can be used in a wide range of applications, for example, to model battery degradation, gain insight into lithium plating, optimize operation strategies, or test battery impedance or state estimation algorithms using machine learning or Kalman filtering.
The data is described in detail in the open-access publication "Comprehensive battery aging dataset: capacity and impedance fade measurements of a lithium-ion NMC/C-SiO cell" published in Nature Scientific Data under the DOI: 10.1038/s41597-024-03831-x, also see “Related identifier”. An updated dataset is published under the DOI 10.35097/1969 (result data, e.g., capacity fade and impedance increase) and 10.35097/kww7jv8ajuvchcah (log data), also see “Related identifier”. Python example code to read, process, and visualize the data is provided in the GitHub repository: https://github.com/energystatusdata/bat-age-data-scripts/ Note: The "cell_eisv2.zip" file in this dataset is incomplete and only contains data for cells P001_1 to P044_2. The corrected file "cell_eisv2_fixed.zip" containing data for all 228 cells P001_1 to P076_3 can be found in the dataset “Addendum to "Comprehensive battery aging dataset: capacity and impedance fade measurements of a lithium-ion NMC/C-SiO cell [dataset]"” with the DOI 10.35097/krk531nmj4bsshha (see “Related identifier”).
electrochemical impedance spectroscopy (EIS)
Comprehensive battery aging dataset: capacity and impedance fade measurements of a lithium-ion NMC/C-SiO cell [dataset]
Institut für Informationssicherheit und Verlässlichkeit
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.
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.
Dataset: A Large-Scale Study of Cookie Banner Interaction Tools and their Impact on Users' Privacy / Part2
Updated version see relations. 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.
The data set comprises temperature data of the Earth's middle atmosphere region for the years 2002-2012 as rerieved 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
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.
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)
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
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)
This data package contains all datasets required to reproduce the plots presented in the manuscript egusphere-2025-402. nfluence of Fire-Induced Heat and Moisture Release on Pyro-Convective Cloud Dynamics During the Australian New Year's Event: A Study Using Convection-Resolving Simulations and Satellite Data [ACP]
The folder 3dwinds includes height retrieval data from the NASA 3D Wind Algorithm, which is based on Himawari-8 and MODIS Level 1B in the blue band. Access to this algorithm was granted by Dr. James Carr (jcarr@carrastro.com) and is subject to his approval. The ICON-ART Raw Data of the model output files is zipped for three experiments: model_output_REF.tar.gz (REF), model_output_SH.tar.gz (SH), and model_output_SHLH.tar.gz (SHLH). The folder fire_input+domain includes the fire input file as it is read into the ICON-ART model, along with the model domain grid file. Additionally, the file fire_archive_M-C61_611434.csv contains MODIS active fire product data. The original dataset can be accessed via NASA FIRMS at https://earthdata.nasa.gov/earth-observation-data/near-real-time/firms/mcd14ml.
ICON-ART Simulations and Satellite Observations from Influence of Fire-Induced Heat and Moisture Release on Pyro-Convective Cloud Dynamics during the Australian New Year’s Event: A Study Using Convection-Resolving Simulations and Satellite Data (egusphere-2025-402)
With the growing trend for developing new detection and investigation systems for Advanced Persistent Threat (APT), the urgent issue of lacking sound and authentic datasets becomes more visible. New datasets for research on APT detection and investigation have been released over the past few years in an accelerated manner. Yet, our examination of the existing datasets yields the finding that the gap between these datasets’ attack scenarios and real-world APT attacks is significant. Recognizing the flaws of prior datasets particularly in terms of attack scenario complexity and authenticity, we develop a novel sound dataset called Aviator, which is backed by MITRE emulation plans. The well-known organization MITRE has released nearly a dozen emulation plans, which closely reproduce APT groups’ real-world attack campaigns observed in the past. However MITRE has not published any datasets. Thus, we resort to stringently implementing these emulation plans. Further, we extend these emulation plans to include an industrial control system and attack steps on it, mimicking APT groups most known for their attacks against critical infrastructures in the past. Comparing to existing datasets, our dataset Aviator has the highest attack scenario complexity and authenticity. Moreover, Aviator is designed with dataset operability, usability, reproducibility and extensibility in mind, for which existing datasets lag far behind. That is, along with the Aviator dataset, we also provide log shipping tools, log parsing tools, and logging configuration files to encourage other researchers to make their own datasets, which may better suit the evaluation of their detection systems. Besides, we would add more log types in future versions of our dataset Aviator. We are committed to maintaining Aviator as a living dataset.
AVIATOR: A MITRE Emulation Plan-Derived Living Dataset for Advanced Persistent Threat Detection and Investigation
Experimental Details: All electrochemical measurements were conducted in a three-electrode. As a working electrode, a planar silver rotating disk electrode (surface area A = 0.1963 cm²), and as counter electrode, a spiral platinum wire was used. All potentials were measured and plotted against a reversible hydrogen electrode reference electrode (RHE). The potentials were corrected for uncompensated resistance afterward. The electrolyte was purged with CO₂ for 15 min before starting the experiment to ensure saturation with CO₂. Cyclic voltammetry was performed in a potential window of -0.5 to -2.0 V vs. RHE with rotation speeds between 50 and 150 rpm and between -0.5 to -2.5 V vs. RHE for 300 rpm. The scan rate of the potential sweep was set to values of 50, 100, 200 and 300 mV/s. The number of cycles was eight for each scan rate to guarantee a quasi-steady state. In the figures, only the last cycle is displayed. The stationary polarization curve was measured by holding a constant potential for 200 s. The step size of the applied potential was 0.1 V. The uncompensated resistance was measured after each holding time. Figures show the corrected mean potential and mean error, determined from the last 20 s of each measured potential. Numerical Details: The model was implemented in MATLAB R2020b, and differential equations were solved with ode15s solver. Spatial discretization was done with an equidistant grid and applying finite volume method and central differential quotients. Grid size was set to a value of Δx=1 µm and convergence of the solution regarding grid parameters was confirmed as refining the parameters lead to no visual changes of the cyclic voltammograms and concentration profiles. The system was initialized by holding the starting potential of -0.5 V, where no significant electrochemical reactions take place, until a stationary state was reached. Initial surface coverages and initial potential of the electrode were adapted from the stationary state. Initial concentrations were set to electrolyte bulk concentrations, where equilibrium of carbonate species and dissolved CO₂ is adjusted. For more information about experimental details, see Experimental Section in the manuscript. For more information about experimental details and the model, see Method section in the manuscript.
Dynamic vs. Stationary Analysis of Electrochemical Carbon Dioxide Reduction: Strong Differences in Local State
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
Institut für Wasser und Gewässerentwicklung
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)
This folder contains videos of plastic films (Film_HDPE_100) being transported with a given flow condition (V2) in physical laboratory experiments.
Surfaced and suspended plastic: Film_HDPE_100_V2 (videos)
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)
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 $\textit{Ustilago maydis}$"
Inkjet-printed bipolar resistive switching device based on AgZnOAu structure
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
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
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.
Impact of nickel on the surface reaction in ceria-based electrodes for solid oxide cells
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)
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
Landscape-level prediction maps from the publication "UAV based reference data for the prediction of fractional cover of standing deadwood from Sentinel time series" in ISPRS Open Journal of Photogrammetry and Remote Sensing (IOJPRS). The prediction maps for the states of Germany will be constantly updated. Files are organized by federal states of Germany and are named according to ISO 3166-2 and year, respectively.
Data package from: UAV-based reference data for the prediction of fractional cover of standing deadwood from Sentinel time series
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
Processed micro-tomographic scan of the ant Allomerus octoarticulatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant 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 Ooceraea biroi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains FAIR records which describe the tribological experiment Copper under Constant Normal Load #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
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
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.
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 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 Formica cunicularia, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant 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.
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
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
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 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 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 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 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.
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.
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 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.
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 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 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.
# 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 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.
Bundesministerium für Verkehr, Bau- und Stadtentwicklung
Deutsches Mobilitätspanel (MOP) - Statistiken zur Alltagsmobilität sowie zu Fahrleistung und Kraftstoffverbrauch 2001 - 2010
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 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.
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.
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.
Processed micro-tomographic scan of the ant Paraparatrechina sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant 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.
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
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)
rem- und STEM-Bilder; Reibungsrohdaten, EBSD- und TKD-Rohdaten; EDX-Rohdaten
Rohdaten zu Manuskript Antje Dollmann et al.; November 2019
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.
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 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.
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.
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.
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 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 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.
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
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"
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
Dissertation_Kempter,Xenia_Gelatine-basierte Hydrogele fuer den 3D Biodruck von Gewebemodellen
The data set contains (1) model data, (2) the corresponding model grid, and (3) the result of a statistical analysis. The model data consist of mean values of an ensemble of 80 members in total. Of these, 40 simulations belong to the reference experiment and 40 simulations belong to the snow-darkening experiment. Variables with the addition "diff" show the mean difference between the simulations of the two experiments. The statistical data is the result of the Wilcoxon signed-rank test at t176.
ICON-ART Data: Mineral Dust on Snow in Eurasia During a Severe Deposition Event in March 2018 (ensemble mean values and statistics)
Solvent-independent 3D printing of organogels
Institut für Angewandthe Physik, Institut für Nanotechnologie
On Time-Resolved 3D-Tracking of Elastic Waves in Microscale Mechanical Metamaterials
This dataset provides pixel-wise annotations of photovoltaic (PV) systems at a spatial resolution of 0.2 m, distinguishing between rooftop PV (RTPV) and ground-mounted PV (GMPV). Two types of labels are included: (1) automatic annotations, available only for the state of Hesse, derived from geospatial sources; and (2) manually curated annotations for selected areas in Hesse and North Rhine-Westphalia (NRW), produced using high-resolution orthoimagery from Hesse and openNRW. The label data are provided without imagery, enabling integration with arbitrary remote sensing sources for applications such as PV detection and segmentation. The automatic annotations were generated using geospatial sources including OpenStreetMap (OSM), the Official Topographic-Cartographic Information System (ATKIS), and data from the Leibniz Institute of Ecological Urban and Regional Development (IOER) in Dresden. After merging these sources, GMPV installations were supplemented with data from Manske, D. (2025), “Geo-locations and System Data of Renewable Energy Installations in Germany,” Zenodo. doi:10.5281/zenodo.14627853.
The dataset is distributed as GeoTIFF files, each named according to its corresponding orthoimage tile. For manually annotated labels, the final segment of the file name indicates the reference year of the source imagery. All data are projected in EPSG:25832 (ETRS89 / UTM zone 32N). Raster pixel values are encoded as follows: 0 for background, 1 for RTPV, and 2 for GMPV. The corresponding aerial imagery can be downloaded from the following sources: for Hesse: Digitales Orthophoto © Hessisches Landesamt für Bodenmanagement und Geoinformation (HVBG), 2021/22. (https://gds.hessen.de) for NRW: Geobasis NRW - Open Data © Digitale Geobasisdaten NRW, Ministerium für Heimat, Kommunales, Bau und Digitalisierung des Landes Nordrhein-Westfalen, 2021/22/23/24 (https://open.nrw/dataset/)
Photovoltaic Systems: Reference Data on Rooftop and Ground-Mounted Installations
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 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 Neivamyrmex nigrescens, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant 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.
Processed micro-tomographic scan of the ant Temnothorax lai-sc sp nov, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with 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 andrei, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Odontomachus meinerti, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Crematogaster suehiro, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant 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.
Processed micro-tomographic scan of the ant Pheidole dyctiota, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Polyrhachis latona, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant OUTGROUP_Bethylidae sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This program is intended to reproduce the results from the preprint "Error bounds for discrete minimizers of the Ginzburg--Landau energy in the high-$\kappa$ regime" by Benjamin Dörich and Patrick Henning The codes generates the lines in Figure 1 #### Requirements The program is tested with Ubuntu 20.04.5 LTS and Python 3.8.10 and the following version of its modules: - numpy - 1.17.4 - scipy - 1.3.3 - matplotlib - 3.1.2 - tikzplotlib - 0.9.8 - dolfin - 2019.2.0.dev0 - fenics - 2019.2.0.dev0 #### Figures In the folder "CRC1173_Preprint_2023-11_Codes" open a console and run the following commands after each other (2a-c can be executed in paralell). 1) Run "python3 c1_generate_rectangle.py" 2a) Run "python3 c2_GL_FEM_comp_all_min.py" 2b) Run "python3 c16_GL_FEM_comp_kappa16.py" 2c) Run "python3 c20_GL_FEM_comp_kappa20.py" 3) Run "python3 c3_GL_FEM_comp_all_errors.py" 4) Run "python3 c4_GL_FEM_draw_error_plot.py" After running the calculations, the files are stored as follows: (a) the folder "plots_for_paper" contains the pdf and tikz files for the error plots in Figure 1. (b) the folders "sol_ref_3_Mag_st_2.0_kappa_[KAPPA]_P1_square" contain all figures of the solutions where [KAPPA] is replaced by the respective value.
Numerical experiments for "Error bounds for discrete minimizers of the Ginzburg--Landau energy in the high-$\kappa$ regime"
The simulations were performed with the atmospheric component of the ICON model. The model was run with the physics package used for numerical weather prediction (version 2.1.00) and with R2B04 horizontal resolution (approximately 160km) with 47 levels extending up to 75km. A time step of 720s was used. We used a present-day setup and the cloud-locking method to determine the impact of cloud-radiative changes. For the cloud-locked simulations, the number after T (sea-surface temperature) and C (cloud-radiative properties) are - 1 for the control simulation (CTL) - 2 for the uniform SST increase (UNI) - 3 for the patterned SST increase (PAT) # 4d (time-lev-lat-lon) data free clouds - ICON-NWP_AMIP_free_3d_mm.nc (control simulation) - ICON-NWP_AMIP4K_free_3d_mm.nc (uniform 4K SST increase) - ICON-NWP_AMIPFuture_free_3d_mm.nc (patterned SST increase) locked clouds - ICON-NWP_AMIP_T?C?_3d_mm.nc Files contain monthly-mean data for 30 years (free clouds) and 29 years (locked clouds), respectively. The first simulated year is excluded from the files (spin-up period). # Partial Radiative Perturbation Calculation - ICON-NWP_prp_T1C1_vs_T1C2_3d_mm.nc (PRP for uniform SST increase) - ICON-NWP_prp_T1C1_vs_T1C3_3d_mm.nc (PRP for patterned SST increase) Files contain monthly-mean data for 29 years. The first simulated year is excluded from the files (spin-up period). # storm track data - st_ICON-NWP_AMIP_T?C?_geopot500.nc: time-mean storm track (mean over all years) - st_T?C?_1980to2008.nc: time series of annual-mean storm track data - st_ICON-NWP_AMIP_T?C?_geopot500_DJF.nc: time-mean storm track for DJF season (mean over all years) - st_T?C?_1980to2008_DJF.nc: time series of DJF storm track data -> analogously for MAM, JJA, SON
ICON model simulations for publication "Cloud-radiative impact on the regional responses of the mid-latitude jet streams and storm tracks to global warming"
Der vorliegende Bericht bezieht sich auf die im Oktober 2019 an der KIT-Fakultät für Maschinenbau des Karlsruher Instituts für Technologie eingereichte und im Dezember 2020 angenommene Dissertationsschrift »Neue Methodik zur Optimierung von Druckverfahren für die Herstellung funktionaler Mikrostrukturen und hybrider elektronischer Schaltungen« von Martin Ungerer. Der Bericht umfasst zusätzliche Daten zur Dissertationsschrift und beinhaltet ergänzende Erläuterungen zu Methoden, Prozessen, Materialien, Systemen und Ergebnissen.
Methoden, Materialien und Ergebnisse der Entwicklung funktionaler Druckprozesse. Zusätzliche Daten zur Dissertation "Neue Methodik zur Optimierung von Druckverfahren für die Herstellung funktionaler Mikrostrukturen und hybrider elektronischer Schaltungen"
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.
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.
PPD-2K Size Distribution from 11-21-2023 094440 UTC until 01-07-2024 222452 UTC. PPD flow: 5 lpm Calibration coefficients: a = 2.02, b = 0.522 and c = 0 Note: Empty images and triggers that are triggered on noise are removed. File 'DOME_C_final_level2': Concentration measurements (optical particle counter) 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 last Column: lidar classification (d: diamond dust, i: ice fog, m: mixed fog, l: liquid cloud precipitation) File 'DOME_C_images_final_level2.csv': Diffraction pattern image analysis Columns: Date,UTC time,Seconds of day,Image name,Folder name,Mean intensity,Saturation ratio,Sphere,Fit,Sphere diameter,FFT_0,FFT_1,FFT_2,FFT_3,FFT_4,FFT_5,FFT_6,FFT_7,FFT_8,k-value,Entropy,Contrast,Homogeneity,Correlation,Energy,combined roughness,Shape,Optical diameter,ICCD gain,Trigger gain,Trigger threshold,Trigger intensity,TOF,Norm Variance,Sum Sq Res Mie,CNN_shape The CNN shapes correspond to: 0: Irregular 1: Large (or nearly saturated) 2: Pristine 3: Rough 4: Small Rough 5: Small (often triggered on noise) 6: Spherical 7: Sublimating The shapes correspond to the maximum Fourier coefficient.
Dataset: PPD-2K Particle shape and particle size distribution from DOME-C, Antarctica
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
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 Aphaenogaster japonica, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant 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.
-------------------------------------------------------------------------------- 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 Cylindromyrmex striatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Octostruma cf betschi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant 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.
Institut für Angewandte Biowissenschaften (IAB), Karlsruher Institut für Technologie (KIT)
Institut für Organische Chemie (IOC), 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 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.
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 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.
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.
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.
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.
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.
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 Myrmelachista ramulorum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant 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 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 Camponotus japonicus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Brachyponera sennaarensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant 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 Technomyrmex brunneus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant 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 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.
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.
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
This dataset contains IR, Raman, and LC/MS characterization as well as fluorescence and water contact angle measurements. The measurements provide detailed prove on the existence of the said functional groups and molecules as well as the characterization of the obtained hydrogels and the effectiveness of covalently binding oligonucleotides to the gels. The fluorescence images confirm the binding and subsequent hybridization of the fluorophore marked oligonucleotide strands.
OligoHydrogelArray (OHA) for Parallelized Solid‐Phase Extraction of Oligonucleotides
This experiment simulates the extended sinoatrial node cell models of Severi et al. (2012) and Fabbri et al. (2017) with several [Ca2+]o and [ISO]. The extension of the AC-cAMP-PKA signalling cascade is based on the work of Behar et al. (2016).
Sympathetic Stimulation Can Compensate for Hypocalcaemia-Induced Bradycardia in Human and Rabbit Sinoatrial Node Cells (v1.0)
Graphical program for display time dependent data on 3D finite elment meshes
Polyoxometalates as Nano-electrocatalyst in Redox-based Memristor
Drill Core Photos Tyrnyauz Wells T1 and Well 1500
Bundesministerium für Forschung, Technologie und Raumfahrt
Drill Core Scans Tyrnyauz Wells T1 and Well 1500
This dataset contains SEM and AFM characterization data of the hydrophobic silica nanoparticle coatings applied to multiplexed ECL electrodes. The measurements provide detailed information on coating morphology and thickness. Comparative images before and after NaOH hydrolysis confirm the effective removal of the silica layer and the corresponding surface cleaning and activation of the gold electrode.
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.
DAMAST-KIT-Spartak: oriented drill core data
Included are 1H NMR data recorded on different spectrometers (Spinsolve 60 Ultra and Spinsolve 80, Magritek; 800 MHz Avance III spectrometer with He-cooled cryoprobe and 500 MHz Avance NEO spectrometer with conventional probe, Bruker) in their native formats. Spectra are sorted by their appearance in the associated manuscript and ESI. Most spectra are acquired on extracts of human urine for the detection and quantification of endogenous metabolites. The parahydrogen-based hyperpolarization techniques Signal Amplification By Reversible Exchange (SABRE) and non-hydrogenous Para-Hydrogen Induced Polarization (nh-PHIP) are used for signal enhancement.
Metabolites in a urine extract are signal-enhanced by SABRE† hyperpolarization and detected using a benchtop NMR spectrometer. Quantification by standard addition is demonstrated for endogenic urinary nicotinamide (vitamin B3). Even higher sensitivity is achieved in an automated setup for multi-scan SABRE experiments. This hyperpolarization scheme is able to expedite biomarker detection and quantification, while maintaining low infrastructural requirements.
Benchtop NMR Signal Enhancement of Metabolites in Urine Extract using SABRE
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
Institut für Wirtschaftsinformatik (WIN), Karlsruher Institut für Technologie (KIT)
Results of 6'144 regression and their analysis parameters to replicate meta-analysis and SCA. Also included are the resulsts of the 500 randomized samples.
ESG and Stock Returns: Effects of Research Design Choices - Dataset
Using a Radical Straitjacket to Enforce an Ultrashort Dy-Dy Distance and thus Enhance Dipolar Interactions in a DyIII2 Dimer
Lichttechnisches Institut (LTI), Karlsruher Institut für Technologie (KIT)
The dataset contains the raw oscilloscope time-domain data of the voltage across and current through a coil used to excite an inductively coupled plasma. Excitation is carried out by means of two superimposed frequencies in the current, the first being about 2.5 MHz and the second about 7.5 MHz. The current and voltage curves during the plasma ignition were recorded. At different amplitude ratios between 0 and 1, 50 to 60 ignitions were recorded in each case. Likewise, the point of minimum power maintaining the discharge is set for these amplitude ratios. At this point, the voltage over and current through the coil were also recorded over time.
Der Datensatz enthält die Oszilloskoprohdaten über den zeitlichen Verlauf der Spannung über und des Stroms durch eine Spule, die zum Anregen eines induktiv gekoppelten Plasmas verwendet wird. Anregung erfolgt mittels zweier überlagerter Frequenzen im Strom, wobei die erste bei ca. 2,5 MHz und die zweite bei ca. 7,5 MHz liegt. Der Strom- und Spannungsverlauf während der Zündung des Plasmas wurde aufgezeichnet. Bei verschiedenen Amplitudenverhältnissen zwischen 0 und 1 wurden jeweils 50 bis 60 Zündungen aufgenommen. Ebenso wird für diese Amplitudenverhältnisse der Punkt der minimalen Leistungseinkopplung eingestellt, der gerade noch die Aufrechterhaltung der induktiven Entladung gewährleistet. An diesem Punkt wurden die Spannung über und der Strom durch die Spule ebenfalls über die Zeit aufgezeichnet.
The data is organized in to folders according to the set amplitude ratio of the two excitation currents. Where for example "A01" corresponds to an amplitude ratio of 10%. For most of the tuningpoints there exists a MSP measurement in an additional folder with the "_msp" suffix for the corresponding folder name. The data in those folder contains all the different channels of the ozilloscope. Regular ignition captures follow the naming: "SaveOnEvent_chX_TIMESTAMP.wfm" Where X is the number of the oszilloscope channel, and TIMESTAMP is the date and time the data was measured in the format: year month day hour minute second milliseconds. Channel 1 contains the voltage across the coil. Channel 2 contains the current through the coil. Channel 3 contains the drain source voltage across low voltage side of the driving inverter. Channel 4 contains the dc supply voltage. Channel 5 contains the voltage signal of the photo diode used to trigger the measurements. Additionally, each folder also contains a measurement labled "leer_chX.wfm". Those contain the no load (plasma off) measurement to reference the signals for a impedance analysis. All the data is in the "wfm" format of a MSO5 Tektronics oszilloscope, to read the data use the added matlab fuction "simp_wfm_read.m". The csv file cotains the result of an impedance measurement of the excitation coil in the setup. This file in conjuction with the "leer_chX.wfm" files in each folder allows for amplitude and phase correction of the measurement signals.
Coil voltage and current waveforms during ignition of a 10Pa Xe inductive discharge using two frequencies for excitation
Institut für Bodenmechanik und Felsmechanik (IBF), Karlsruher Institut für Technologie (KIT)
This dataset contains the experimental data associated with the publication: Extended experimental database of Fontainebleau sand (NE34) and validation of hypoplastic constitutive models Doi: 10.53243/ISFOG2025-169 Additional context and interpretation of the data can be found in the publication. If you require further information or clarification please feel free to contact the corresponding author.
Extended experimental database of Fontainebleau sand (NE34)
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 Analysis (IANA), Karlsruher Institut für Technologie (KIT)
(Technical Remarks) This program is intended to reproduce the results from the dissertation "Strichartz estimates and error analysis of time integrations schemes for wave-type equations" of 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 Run "run_schr.py" Parts of the code relies on code written by B. Dörich in https://doi.org/10.5445/IR/1000130189.
Numerical experiments to "Strichartz estimates and error analysis of time integrations schemes for wave-type equations"
Data concerning UV Vis, IR and NMR spectroscopic meassurements
A series of monometallic Al(III), Sm(III), Dy(III), Er(III), and Yb(III) complexes, featuring tetraphenyldiphosphine monoxide (PPO) as a ligand, were synthesised and characterised. These complexes served as precursors for the construction of heterobimetallic rare earth (RE)–transition metal (TM) assemblies. Attempts to introduce soft TMs, such as Cu(I) and Au(I), into the pre-formed RE–PPO synthons predominantly afforded equilibrium-driven TM-based POP species, underscoring the challenges of incorporating hard and soft metal centres directly. This observation led to an alternative route employing a pre-synthesised Mo–PPO synthon, which led to the successful formation of RE–Mo heterobimetallic complexes upon addition of the RE ions. The molecular structures of both mono- and heterobimetallic species were strongly influenced by the solvent environment. Notably, reactions in dichloromethane, a non-coordinating solvent, yielded RE2 complexes featuring chloride bridges, a motif absent when coordinating solvents, such as THF or MeCN were employed. This solvent-dependent structural divergence offers a straightforward strategy for modulating the metal nuclearity. Remarkably, all RE ions in the resulting complexes adopt an uncommon octahedral coordination geometry, attributed to the steric and electronic constraints imposed by the PPO ligand at the hard–soft interface.
Cooperative Chemistry at the Hard–Soft Interface: Phosphine Oxide-Based Rare Earth–Transition Metal Complexes
Research Center for Physical Education and Sports of Children and Young People
Ministry of Schools and Education of the State of North Rhine-Westphalia
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.
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
Fraunhofer Institute of Optronics, System Technologies and Image Exploitation
Bundesministerium für Wirtschaft und Energie
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.
Institut für QuantenMaterialien und Technologien (IQMT), Karlsruher Institut für Technologie (KIT), Physikalisches Institut (PHI), Karlsruher Institut für Technologie (KIT)
Institut für QuantenMaterialien und Technologien (IQMT), Karlsruher Institut für Technologie (KIT), Physikalisches Institut (PHI), Karlsruher Institut für Technologie (KIT), Universität Stuttgart (Uni Stuttgart)
Video files of EGaInSn printed structures, recorded with microscope viewing the sample mounted in a Lake Shore PS-100 Tabletop Cryogenic Probe Station during a temperature sweep from 300 K to 4 K and reverse.
Extended Data for Manuscript "Liquid metal printing for superconducting circuits"
Spectra in JCAMP-DX and Bruker format together with Bruker pulse programs used for acquisition of example NMR spectra.
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
P3 = Fe-3.0Mn-3.0C (at.%), Fe-3.0Mn-0.7C (wt.%) P7 = Fe-6.9Mn-3.2C (at.%) Fe-7.0Mn-0.7C (wt.%) Fig. 3a: Scanning electron microscopy micrograph P3 (pearlite condition, 600 °C/16 h) Fig. 3b: Scanning electron microscopy micrograph P7 (pearlite condition, 540 °C/96 h) Fig. 4a: Transmission electron microscopy micrograph, bright field P3 (pearlite condition, 600 °C/16 h) Fig. 4b: Transmission electron microscopy diffraction pattern P3 (pearlite condition, 600 °C/16 h) Fig. 4c: Transmission electron microscopy micrograph, bright field P7 (pearlite condition, 540 °C/96 h) Fig. 4d: Transmission electron microscopy diffraction pattern P7 (pearlite condition, 540 °C/96 h) Fig. 5a: Atom probe tomography data as Cameca proprietary raw files P3 (pearlite condition, 600 °C/16 h) Fig. 5b: Atom probe tomography data as Cameca proprietary raw files P7 (pearlite condition, 540 °C/96 h) Fig. 7a: Scanning electron microscopy micrograph P3 (short time austenitization and quenching, 770 °C/150 s) Fig. 7b: Scanning electron microscopy micrograph P7 (short time austenitization and quenching, 770 °C/150 s)
Data from "Assessment of the compositional requirements to form Fe-Mn-C austenite-martensite composites"
Codes to generate the numerical examples in the publication "INVERSE ELECTROMAGNETIC SCATTERING PROBLEMS FOR LONG TUBULAR OBJECTS". These codes use the Python programming language and are based on the bempp boundary element library (https://bempp.com).
Inverse Scattering Problems for Long Tubular Domains - Codes - Version 2
Data of publication "Comparison of scanning aerosol LIDAR and in situ measurements of aerosol physical properties and boundary layer heights"
The spatiotemporal distribution of aerosol particles in the atmosphere has a great impact on radiative transfer, clouds, and air quality. Modern remote sensing methods, as well as airborne in situ measure- ments by unpiloted aerial vehicles (UAV) or balloons, are suitable tools to improve our understanding of the role of aerosol particles in the atmosphere. To validate the measurement capabilities of three relatively new measurement systems and to bridge the gaps that are often encountered between remote sensing and in situ ob- servation, as well as to investigate aerosol particles in and above the boundary layer, we conducted two measure- ment campaigns and collected a comprehensive dataset employing a scanning aerosol lidar, a balloon-borne ra- diosonde with the Compact Optical Backscatter Aerosol Detector (COBALD), an optical particle counter (OPC) on a UAV, and a comprehensive set of ground-based instruments. The extinction coefficients calculated from near-ground-level aerosol size distributions measured in situ are well correlated with those retrieved from lidar measurements, with a slope of 1.037 ± 0.015 and a Pearson correlation coefficient of 0.878, respectively. Verti- cal profiles measured by an OPC-N3 on a UAV show similar vertical particle distributions and boundary layer heights to lidar measurements. However, the sensor, OPC-N3, shows a larger variability in the aerosol backscat- ter coefficient measurements, with a Pearson correlation coefficient of only 0.241. In contrast, the COBALD data from a balloon flight are well correlated with lidar-derived backscatter data from the near-ground level up to the stratosphere, with a slope of 1.063 ± 0.016 and a Pearson correlation coefficient of 0.925, respectively. This consistency between lidar and COBALD data reflects the good data quality of both methods and proves that lidar can provide reliable and spatial distributions of aerosol particles with high spatial and temporal resolutions. This study shows that the scanning lidar has the capability to retrieve backscatter coefficients near the ground level (from 25 to 50 m above ground level) when it conducts horizontal measurement, which is not possible for verti- cally pointing lidar. These near-ground-level retrievals compare well with ground-level in situ measurements. In addition, in situ measurements on the balloon and UAV validated the scanning lidar retrievals within and above the boundary layer. The scanning aerosol lidar allows us to measure aerosol particle distributions and profiles from the ground level to the stratosphere with an accuracy equal to or better than in situ measurements and with a similar spatial resolution.
Comparison of scanning aerosol LIDAR and in situ measurements of aerosol physical properties and boundary layer heights
This is the source code for data generation and plotting accompanying the work "Noisy Qudit vs Multiple Qubits: Conditions on Gate Efficiency for Enhanced Fidelity" (2024) by D.Jankovic, J-G. Hartmann, P-A. Hervieux, M. Ruben. This jupyter IPython notebook contains a section per figure or pair of figures. Each section imports and/or generates and saves the data that are then plotted. The dat/ folder contains the pulses generated as described in the Methods section of the paper. "qudit.py" is a custom library for easy interfacing of qudit systems with qutip.
Source Code for data generation and pulses data for Noisy Qudit vs Multiple Qubits
An archive with xyz-coordinates of atoms in 4-layer Pt(100) slabs and species present in their surface or interstitial locations under conditions of ammonia oxidation over Pt-based catalysts. The species enclosed are O, N, and NHx. The atomic coordinates of these structures were optimized by DFT and are available in txt format.
Atomic coordinates of DFT-optimized Pt structures with O, N, and NHx species in surface or interstitial locations
This files contain the design of an modular linear stage for optoelectronic measurements as well as example software for measurements. It is build from open hardware parts (uStepperS and C-Beam Linear Actuator), commercial available parts, a designed shield for the hardware control as well as custom made laser-cut parts. The composition, the designed hardware and software is licenced under a free GPLv3 licence (see bottom of this page).
# Modular linear experiment stage This files contain the design of an modular linear stage for optoelectronic measurements as well as example software for measurements. It is build from open hardware parts (uStepperS and C-Beam Linear Actuator), commercial available parts, a designed shield for the hardware control as well as custom made laser-cut parts. The composition, the designed hardware and software is licenced under a free GPLv3 licence (see bottom of this page). Licences of the used components: * [C-Beam Linear Actuator](https://openbuildspartstore.com/c-beam-tension-xl-linear-actuator-bundle/) OpenBuilds®, LLC design work(s) shared Open Source under the CC BY-SA 4.0 License Terms and Conditions * [uStepperS](https://github.com/uStepper/uStepperS) by ON Development is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. ![modular_setup](https://codeberg.org/LibrEars/modular-linear-experiment-stage/media/branch/main/modular_setup.png) ## Controle software for the 'uStepper S' This module is used with the 'uStepper S' and the custom made shield for distance measuring with angle dependancy. ### Usage You can use the setup via the manual rotary encoder switch or via the serial commant (use arduino-GUI and serial window or see python example) ``` --- Proximity reference setup ------------------------------------ Manual mode: Turn the knob to change the distance / angle"); Click once to change the step size"); Double-click to change between distance and rotation"); Press > 1 second to set the distance / angle to 0"); PC mode (via serial): Type the distance (mm), speed (mm/s) and angle (°), seperated by a commata"); E.g. '20.0,40, 15' means 20.00 mm (v=40mm/s for distance) and 15.00°" ------------------------------------ ``` Somehow there is a bug with my board/software and setting the speed via stepper.setRPM(rpm) inside the code does not work properly. So do not expect the speed to be exact. ### Installation #### uStepper S The uStepper is programmed like an arduino bord with the Arduino IDE: https://www.arduino.cc/en/Main.Software To install the uStepper into the arduino IDE follow: https://github.com/uStepper/uStepperS #### Rotary encoder for angle motor To make the rotary encoder working, you may need to fix the Encoder.h (\Arduino\libraries\Encoder\utility\interrupt_pins) library by adding the PB version of the microcontroller `__AVR_ATmega328PB__` to the list: ``` // Arduino Uno, Duemilanove, Diecimila, LilyPad, Mini, Fio, uStepperS, etc... #elif defined(__AVR_ATmega328P__) || defined(__AVR_ATmega328PB__) || defined(__AVR_ATmega168__) || defined(__AVR_ATmega8__) #define CORE_NUM_INTERRUPT 2 #define CORE_INT0_PIN 2 #define CORE_INT1_PIN 3 ``` ### Interrupts Also on the uStepperS board the [interrupts do not work](https://github.com/uStepper/uStepperS/issues/31). A workaround is to use [Pin Change Interrupts](https://www.teachmemicro.com/arduino-interrupt-tutorial/). They are different than normal Interrupts ("might be a tiny bit slower and not that reliable because of that detection overhead (talking about micro seconds)") but there is an [arduino library](https://www.arduino.cc/reference/en/libraries/pinchangeinterrupt/). → seems to work with both motors and rotary encoder at the same time ! ### Distplay To get the display running with the uStepperS, we need to change its lib rgb_lcd.h: There is some wired behavior when using the serial of the uStepperS (ATmega328PB). Plugging the Grove-LCD RGB Backlight display in pins A1 (SDA0) and A2 (!!! this pin is changed [from A0 → A2 on my bord] but SCL0 is still there) the example code works. But pin D7 (SCL1) and D8 (SDA1) are somehow always HIGH which causes problems (not enough pins, strange behavior when uploading code with INX from ULN2003 driver on D7 &D8 ). To circumvent this behavior the display should be attached to SCL1 /SDA1. This is not possible by default due to missing firmware. Therefore we need to add support for the microcontroller: Sources: * https://github.com/MCUdude/MiniCore This lib adds support for the ATmega328PB, in detail for serial communication with the lib Wire1.h * https://www.instructables.com/How-to-share-i2C-connection-on-Due/ To get the display running, we need to change its lib rgb_lcd.h 1. Go to the folder \Arduino\libraries and copy the folder \Grove_-_LCD_RGB_Backlight and rename it to \Grove_-_LCD_RGB_Backlight_Serial1 2. In the Folder \Grove_-_LCD_RGB_Backlight_Serial1 rename the files rgb_lcd.cpp and rgb_lcd.h to rgb_lcd1.cpp and rgb_lcd1.h 3. Open the file rgb_lcd1.cpp with an text editor and change the lines `#include <Wire.h>` to `#include <Wire1.h>` `#include "rgb_lcd.h"` to `#include "rgb_lcd1.h"` 4. Also add the line ```extern TwoWire1 Wire1; // insert this line is the modification to include Wire1 (SDA1 / SCL1) .…``` 5. Then press ‘Ctrl+h’ to replace all function calls starting with `Wire.xxx()` with `Wire1.xxx()` ! Make sure to not replace the lines added above a second time 6. From now on in the arduino code always include `#include <Wire1.h>` and `#include "rgb_lcd1.h"` ### Design shield for µStepperS In order to also control a 28BYJ-48 stepper motor (e.g. for angle dependent reflectance measurements) or custom components that need high currents (e.g. high-power LEDs) a large part of the project was to design a shield. ![shield](https://codeberg.org/LibrEars/modular-linear-experiment-stage/media/branch/main/shield.png) **Software**: https://www.kicad.org/ * https://docs.kicad.org/5.0/en/getting_started_in_kicad/getting_started_in_kicad.html **Further reading**: * Digital pins (pullup & down resistors): - https://www.mymakerstuff.de/2016/03/22/arduino-tutorium-kapitel-5-pull-up-und-pull-down-widerst%C3%A4nde/ - https://www.arduino.cc/en/Tutorial/Foundations/DigitalPins * Stepper Motor driver - https://www.hwlibre.com/en/28byj-48/ - https://www.electronicoscaldas.com/datasheet/ULN2003A-PCB.pdf * Rotary encoder - https://lastminuteengineers.com/rotary-encoder-arduino-tutorial/amp/ - The switch needs a pullup resistor (similar to stop-switch) * Grove-LCD Display - https://wiki.seeedstudio.com/Grove-LCD_RGB_Backlight/ # 💌️ License Copyright (C) 2022-2023 Mervin Seiberlich and Konstantinos Falis Authors - Mervin Seiberlich, Konstantinos Falis The Modular linear experiment stage is free hardware and software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. experiment_evaluation is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with experiment_evaluation. If not, see https://www.gnu.org/licenses/.
In our report, we described a case study where we evaluate our approach for correctness quantification using Palladio and KeY. Here, we publish the corresponding Palladio Component Model files as well as the generated source code, in order to make them publicly available.
# README: Case Study (Age of Maturity) This archive contains the Palladio artifacts of the case study "AgeOfMaturity" of the Technical-Report "Model-driven Quantification of Correctness with Palladio and KeY" (DOI: 10.5445/IR/1000128855). The structure of this archive is as follows: * The folder "PalladioModels" contains the Palladio Component Model Eclipse Project of the "AgeOfMaturity" use case * The folder "DependencySolverResults" contains output files with the results of the solved "AgeOfMaturity" case study as described in the report * The folder "GeneratedJavaCode" contains Java-Code generated with the [PCM2Java](https://github.com/KASTEL-SCBS/PCM2Java) Project * The folder "PalladioDiagrams" contains the exported model diagrams of the "AgeOfMaturity" case study created for the technical report The usage of the Palladio Editor and the DependencySolver is explained in the following. ## Setup For usage of the artifacts, an Eclipse IDE with the installed Palladio Simulator is necessary. * Download and run a clean [Release of the **Eclipse Modeling Tools** 2020-06 IDE](https://www.eclipse.org/downloads/packages/release/2020-06/r/eclipse-modeling-tools) * Install the Palladio Simulator by using the [Eclipse Market Place](https://marketplace.eclipse.org/content/palladio-43-eclipse-2020-06) or the [Palladio Update Site](https://updatesite.palladio-simulator.com/palladio-build-updatesite/releases/latest/). Install at least the Palladio Component Model, the "Analyzer: Analytical Solver" and the Editors. ## Viewing and Modifying the Models * Import the Palladio AgeOfMaturity Project: * Open the Import Window in Eclipse (File --> Import --> General --> Existing Projects into Workspace) * In the opened Import Windows select the path to the "edu.kit.kastel.scbs.ageofmaturity" Project in the PalladioModels Folder. * Select "Finish" * Open the files with the suffix "_diagram", to view the models with the installed GMF Editors. ## Running the DependencySolver * Create a PCM Solver Run Configuration: (Run --> Run Configurations --> Call Context Menu for PCM Solver --> New Configuration) * Select the created Run Configuration * Configure Architecture Models in the Configuration (Select "Architecture Model(s)" Tab) * Insert Configuration Name * Under "Allocation File" insert the AgeOfMaturity.allocation file path (e.g. by using the "Workspace..." menu) * Under "Usage File" insert the AgeOfMaturity.allocation File Path (e.g. by using the "Workspace..." menu) * Configure the Solver (Select "Solver" Tab) * Select "SRES (Stochastic Regular Expression Solver)" * Uncheck "Use of Expression Model File" checkbox * Provide Path to an Output file in "Expression Model File" * Optional: Configure the Analysis to store Temporary Data(Select "Analysis Configuration" Tab) * Provide Location for storing the temporal data: Under "Location of temporary data", uncheck "use default location" checkbox and provide path to the location * Uncheck the "Delete temporary data after analysis" checkbox. ## Result Interpretation The computed usage/output shows the folded probabilities for each branch in the usage scenario and the visited service effect specifications. The probability to enter a critical section (see technical report) under the given usage model can be retrieved through inspection of the entries for the inserted branches for the critical sections.
Quantification of Correctness with Palladio and KeY: Case Study Data
For decades, scanning/transmission electron microscopy (S/TEM) techniques have been employed to analyze shear bands in metallic glasses and understand their formation in order to improve the mechanical properties of metallic glasses. However, due to a lack of direct information in reciprocal space, conventional S/TEM cannot characterize the local strain and atomic structure of amorphous materials, which are key to describe the deformation of glasses. For this work, we applied 4-dimensional STEM to map and directly correlate the local strain and the atomic structure at the nanometer scale in deformed metallic glasses. We observe residual strain fields with quadrupolar symmetry concentrated at dilated Eshelby inclusions. The strain fields percolate in a vortex-like manner building up the shear band. This provides a new understanding of the formation of shear bands in metallic glass.
The data format is DM4 (Gatan Microscopy Suite Software) and processed by lab-written Matlab code. 4D-STEM measurements were conducted using a Themis Z double-corrected TEM (Thermofisher Scientific) operated at 300 kV in microprobe STEM mode with spot size 6 and a semi-convergence angle of 0.26 mrad giving rise to a diffraction-limited probe size of ~5 nm. 4D-STEM records local 2D diffraction patterns over a 2D array of probe positions by stepwise scanning of the probe. The method is called 4D-STEM referring to its typical 4D dataset (2D diffraction pattern on a 2D array of the sample). We used a OneView camera (Gatan Inc.) with a camera length of 1.15 m to record the diffraction patterns. This camera length was chosen to capture the first diffuse diffraction ring with a sufficient diameter on the camera to enhance the sensitivity for measuring distortions. The 2nd diffuse diffraction ring was also included. This preserves the capability for PDF analysis. 4D-STEM maps were acquired with a step size of 5.8 nm and a frame size of 900×500 pixels for the Fe85.2Si0.5B9.5P4Cu0.8 metallic glass ribbon and a step size of 9.7 nm and a frame size of 350×270 pixels for the Zr46Cu38Al8Ag8 bulk metallic glass with an exposure time of 3.3 ms per frame (frame rate of ~300 f/s). The diffraction pattern of a typical amorphous material shows a diffuse ring pattern (Figure 1a). As described in previous works [23-24, 27], the local stress in the metallic glass induces a structural anisotropy, which results in an elliptic distortion of the diffraction ring leading to a deviation from the ideal circle as illustrated in Figure 1b (the diffraction pattern was artificially elongated for easy presentation). Therefore, the strain can be mapped by determining the ellipticity of the diffraction ring in each local diffraction pattern of the 4D-STEM dataset. Different from high-resolution (HR)TEM-based strain mapping methods such as geometric phase analysis (GPA), which analyzes real space atomic lattice displacements [49], the strain measurement used here analyzes the diffraction ring in the 4D-STEM data. It thus enables the capability to measure strain for amorphous materials and a large field of view (up to micrometers).
Direct observation of quadrupolar strain fields surrounding Eshelby inclusions in metallic glasses
Supplementary data for referenced paper. For more information, see README.md
Data for Paper: Magnetic 2π domain walls for tunable Majorana devices (arXiv)
COCCON column-averaged greenhouse gas abundances collected in the framework of MOSES ScaleX Campaign 2019
Column averaged greenhouse gas abundances have been measured with a COCCON EM27/SUN FTIR spectrometer in the framework of the MOSES ScaleX campaign in the period May – July 2019. The processing of the spectra has been performed at the COCCON CPDHF (Central Processing and Data Handling Facility) operated by KIT. Abundances are reported for water vapour, carbon dioxide, methane, and carbon monoxide.
MOSES ScaleX COCCON EM27/SUN Remote Sensing Greenhouse Gases
Processed micro-tomographic scan of the ant Cyphomyrmex cf minutus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Ponera kohmoku, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Formica gnava, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Landesamt für Geologie, Rohstoffe und Bergbau
Processed micro-tomographic scan of the ant Tetramorium sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Azteca ovaticeps, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains FAIR records which describe the tribological experiment Copper under Constant Normal Load #0004, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0004 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Processed micro-tomographic scan of the ant Sericomyrmex mayri, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Santschiella kohli, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant 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.
Unter Verwendung der im ZIP-File bereitgestellten Informationen bzw. Anwendungen, lassen sich die im Forschungsverbund zur Selbstregulation im Alltag von Studierenden (SriAS 2 Practice, gefördert vom BMBF) produzierten Kurzvideos miteinander verknüpfen. Sofern die vier Videos der Serie (siehe Verweise zur Relation) gemeinsam präsentiert werden sollen, lässt sich die Verknüpfung unter Verwendung der hier bereitgestellten Sekundärinformation leicht umsetzen.
Um Zugriff auf das ZIP-File mit allen notwendigen Daten und Informationen zu erhalten, rufen Sie eine korrigierte Version dieses Nachweises unter folgendem Link auf: http://dx.doi.org/10.5445/IR/1000126678
Appendix (SriAS2Practice): Code & Daten zur Verknüpfung der Videos bei Veröffentlichung auf einem Web-Server
Processed micro-tomographic scan of the ant Dinoponera quadriceps, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Ocymyrmex sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Produktentwicklung und Produktdesign sind ein Bereich in dem Nachhaltigkeit als Handlungskonzept wirksam wird. Unser moderner Lebensstil deckt unsere Bedürfnisse wie Essen, Wohnen, Mobilität und Unterhaltung vor allem auf Basis von Produkten und Dienstleistungen. Pro Kopf bewohnt in Deutschland eine Person 47,4 m2, ist im Schnitt 39 km täglich unterwegs und isst ca. 679 kg Nahrungsmittel im Jahr. Dies hat einen großen wirtschaftlichen und sozialen Nutzen, aber auch beträchtliche negative Auswirkungen auf die Umwelt. Dabei ist eine zentrale Herausforderung: wie können Produkte nachhaltiger werden?
Nachhaltige Produktentwicklung und Ökodesign
These are the experimental data for the paper> Bach, Jakob. "Subgroup Discovery with Small and Alternative Feature Sets" The paper was accepted at the conference [SIGMOD 2025](https://2025.sigmod.org/). You can find the paper [here](https://doi.org/10.1145/3725358) and the code [here](https://github.com/Jakob-Bach/Constrained-Subgroup-Discovery). See the `README` for details. The datasets used in our study (which we also provide here) originate from [PMLB](https://epistasislab.github.io/pmlb/). The corresponding [GitHub repository](https://github.com/EpistasisLab/pmlb) is MIT-licensed ((c) 2016 Epistasis Lab at UPenn). Please see the file `LICENSE` in the folder `datasets/` for the license text.
# Experimental Data for the Paper "Subgroup Discovery with Small and Alternative Feature Sets" These are the experimental data for the paper> Bach, Jakob. "Subgroup Discovery with Small and Alternative Feature Sets" accepted at the conference [SIGMOD 2025](https://2025.sigmod.org/). Check our [GitHub repository](https://github.com/Jakob-Bach/Constrained-Subgroup-Discovery) for the code and instructions to reproduce the experiments. We obtained the experimental results on a server with an `AMD EPYC 7551` CPU (32 physical cores, base clock of 2.0 GHz) and 160 GB RAM. The operating system was `Ubuntu 20.04.6 LTS`. The Python version was `3.8`. With this configuration, running the main experimental pipeline (`main_experiments/run_experiments.py`) took about 34 hours. Note that the current experimental data originate from two separate runs of the main experimental pipeline. In particular, we repeated the same experiments for two additional subgroup-discovery methods later, without rerunning the previously included methods. The commit hash for the last run of the main experimental pipeline (`main_experiments/run_experiments.py`) except the subgroup-discovery methods *BSD* and *SD-Map* is [0a57bcd529](https://github.com/Jakob-Bach/Constrained-Subgroup-Discovery/tree/0a57bcd52938dce6285e8113d777360c2b17f30f) (tag: `run-2024-05-13`). The commit hash for the last run of the main experimental pipeline (`main_experiments/run_experiments.py`) for the (additional) subgroup-discovery methods *BSD* and *SD-Map* is [50dd82e0fc](https://github.com/Jakob-Bach/Constrained-Subgroup-Discovery/tree/50dd82e0fcd175a4068ef4ce838dcacdc1045fc9) (tag: `run-2025-01-21-SIGMOD-2025`). However, the main experimental pipeline did not change between these two runs (except for refactorings and including the two additional subgroup-discovery methods). Thus, using the tag `run-2025-01-21-SIGMOD-2025` to reproduce all experiments should yield the same results (except runtimes and timeout-affected results). The commit hash for the last run of the main evaluation pipeline (`main_experiments/run_evaluation_sigmod.py`) is [8e8e1f5e54](https://github.com/Jakob-Bach/Constrained-Subgroup-Discovery/tree/8e8e1f5e54ac7644fc34f57cae2ad39b6fc1d453) (tag: `evaluation-2025-03-23-SIGMOD-2025`). The experimental data are stored in three folders, i.e., `datasets/`, `plots/`, and `results/`. Further, the console output of `main_experiments/run_evaluation_sigmod.py` is stored in `Evaluation_console_output.txt` (manually copied from the console to a file). In the following, we describe the structure and content of each data file. ## `datasets/` These are the input data for the main experimental pipeline `main_experiments/run_experiments.py`, i.e., the prediction datasets. The folder contains one overview file, one license file, and two files for each of the 27 datasets. The original datasets were downloaded from [PMLB](https://epistasislab.github.io/pmlb/) with the script `main_experiments/prepare_datasets.py`. Note that we do not own the copyright for these datasets. However, the [GitHub repository of PMLB](https://github.com/EpistasisLab/pmlb), which stores the original datasets, is MIT-licensed ((c) 2016 Epistasis Lab at UPenn). Thus, we include the file `LICENSE` from that repository. After downloading from `PMLB`, we split each dataset into the feature part (`_X.csv`) and the target part (`_y.csv`), which we save separately. Both file types are CSVs that only contain numeric values (categorical features are ordinally encoded in `PMLB`) except for the column names. There are no missing values. Each row corresponds to a data object (= instance, sample), and each column either corresponds to a feature (in `_X`) or the target (in `_y`). The first line in each `_X` file contains the names of the features as strings; for `_y` files, there is only one column, always named `target`. For the prediction target, we ensured that the minority (i.e., less frequent) class is the positive class (i.e., has the class label `1`), so the labeling may differ from PMLB. `_dataset_overview.csv` contains meta-data for the datasets, like the number of instances and features. ## `plots/` These are the output files of the evaluation pipeline `main_experiments/run_evaluation_sigmod.py`. We include these plots in our paper. ## `results/` These are the output data of the main experimental pipeline in the form of CSVs, produced by the script `main_experiments/run_experiments.py`. `_results.csv` contains all results merged into one file and acts as input for the script `main_experiments/run_evaluation_sigmod.py`. The remaining files are subsets of the results, as the main experimental pipeline parallelizes over 27 datasets, 5 cross-validation folds, and 8 subgroup-discovery methods. Thus, there are `27 * 5 * 8 = 1080` files containing subsets of the results. Each row in a result file corresponds to one subgroup. One can identify individual subgroup-discovery runs with a combination of multiple columns, i.e.: - dataset `dataset_name` - cross-validation fold `split_idx` - subgroup-discovery method `sd_name` - feature-cardinality threshold `param.k` (missing value if no feature-cardinality constraint employed) - solver timeout `param.timeout` (missing value if not solver-based search) - number of alternatives `param.a` (missing value if only original subgroup searched) - dissimilarity threshold `param.tau_abs` (missing value if only original subgroup searched) For each value combination of these seven columns, there is either one subgroup (search for original subgroups) or six subgroups (search for alternative subgroup descriptions, in which case the column `alt.number` identifies individual subgroups within a search run). Further, note that the last four mentioned columns contain missing values, which should be treated as a category on their own. In particular, if you use `groupby()` from `pandas` for analyzing the results and you want to include any of the last four mentioned columns in the grouping, you should either fill in the missing values with an (arbitrary) placeholder value or use the parameter `dropna=False`, because the grouping (by default) ignores the rows with missing values in the group columns otherwise. The remaining columns represent results and evaluation metrics. In detail, all result files contain the following columns: - `objective_value` (float `>= -0.25` + missing values): Objective value of the subgroup-discovery method on the training set. Usually quantifies WRAcc (in `[-0.25, 0.25]`) when searching original subgroups and normalized Hamming similarity (in `[0, 1]`) when searching alternative subgroup descriptions. First exception: The subgroup-discovery method *MORS* has missing values since *MORS* does not explicitly compute an objective when searching for subgroups. Second exception: The subgroup-discovery methods *BSD* and *SD-Map* use WRAcc times the number of data objects (a dataset-dependent constant) as objective, so the objective value is higher than for the remaining subgroup-discovery methods. - `optimization_status` (string, 2 different values + missing values): For *SMT*, `sat` if optimal solution found and `unknown` if timeout. Missing value for all other subgroup-discovery methods (which do not use solver timeouts). - `optimization_time` (non-negative float): The optimization runtime (in seconds) inside the subgroup-discovery method, i.e., without pre- and post-processing steps. - `fitting_time` (non-negative float): The complete runtime (in seconds) of the subgroup-discovery method (as reported in the paper), i.e., including pre- and post-processing steps. Very similar to `optimization_time` except for *SMT* as the subgroup-discovery method, which may spend a considerable amount of time formulating the optimization problem. - `train_wracc` (float in `[-0.25, 0.25]`): The weighted relative accuracy (WRAcc) of the subgroup description on the training set. - `test_wracc` (float in `[-0.25, 0.25]`): The weighted relative accuracy (WRAcc) of the subgroup description on the test set. - `train_nwracc` (float in `[-1, 1]`): The normalized weighted relative accuracy (WRAcc divided by its dataset-dependent maximum) of the subgroup description on the training set. - `test_nwracc` (float in `[-1, 1]`): The normalized weighted relative accuracy (WRAcc divided by its dataset-dependent maximum) of the subgroup description on the test set. - `box_lbs` (list of floats, e.g., `[-inf, 0, -inf, -2, 8]`): The lower bounds for each feature in the subgroup description. Negative infinity if a feature's lower bound did not exclude any data objects from the subgroup. - `box_ubs` (list of floats, e.g., `[inf, 10, inf, 5, 9]`): The upper bounds for each feature in the subgroup description. Positive infinity if a feature's upper bound did not exclude any data objects from the subgroup. - `selected_feature_idxs` (list of non-negative ints, e.g., `[0, 4, 5]`): The indices (starting from 0) of the features selected (= restricted) in the subgroup description. Is an empty list, i.e., `[]`, if no feature was restricted (so the subgroup contains all data objects). - `dataset_name` (string, 27 different values): The name of the `PMLB` dataset used for subgroup discovery. - `split_idx` (int in `[0, 4]`): The index of the cross-validation fold of the dataset used for subgroup discovery. - `sd_name` (string, 8 different values): The name of the subgroup-discovery method (`Beam`, `BI`, `BSD`, `MORS`, `PRIM`, `Random`, `SD-Map`, or `SMT`). - `param.k` (int in `[1, 5]` + missing values): The feature-cardinality threshold for subgroup descriptions. Missing value if unconstrained subgroup discovery. Always `3` if alternative subgroup descriptions searched. - `param.timeout` (int in `[1, 2048]` + missing values): For *SMT*, solver timeout (in seconds) for optimization (not including time for formulating the optimization problem). Missing value for all other subgroup-discovery methods. - `alt.hamming` (float in `[0, 1]` + missing values): Normalized Hamming similarity between the current subgroup (original or alternative) and the original subgroup if alternative subgroup descriptions searched. Missing value if only original subgroup searched. - `alt.jaccard` (float in `[0, 1]` + missing values): Jaccard similarity between the current subgroup (original or alternative) and the original subgroup if alternative subgroup descriptions searched. Missing value if only original subgroup searched. - `alt.number` (int in `[0, 5]` + missing values): The number of the current alternative if alternative subgroup descriptions searched. Missing value if only original subgroup searched. Thus, original subgroups either have `0` or a missing value in this column (i.e., for experimental settings where alternative subgroup descriptions searched, there is no separate search for an original subgroup, only a joint sequential search for original and alternatives). - `param.a` (int with value `5` + missing values): The number of desired alternative subgroup descriptions, not counting the original (zeroth) subgroup description. Missing value if only original subgroup searched. - `param.tau_abs` (int in `[1, 3]` + missing values) The dissimilarity threshold for alternatives, corresponding to the absolute number of features that have to be deselected from the original subgroup description and each prior alternative. Missing value if only original subgroup searched. You can easily read in any of the result files with `pandas`: ```python import pandas as pd results = pd.read_csv('results/_results.csv') ``` All result files are comma-separated and contain plain numbers and unquoted strings, apart from the columns `box_lbs`, `box_ubs`, and `selected_feature_idxs` (which represent lists and whose values are quoted except for empty lists). The first line in each result file contains the column names. You can use the following code to make sure that the lists of feature indices are treated as lists (rather than plain strings): ```python import ast results['selected_feature_idxs'] = results['selected_feature_idxs'].apply(ast.literal_eval) ``` Note that this conversion does not work for `box_lbs` and `box_ubs`, where the lists not only contain ordinary numbers but also `-inf`, and `inf`; see [this *Stack Overflow* post](https://stackoverflow.com/questions/64773836/error-converting-string-list-to-list-when-it-contains-inf) for potential alternatives.
Experimental Data for the Paper "Subgroup Discovery with Small and Alternative Feature Sets"
Processed micro-tomographic scan of the ant Temnothorax anacanthus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Brachyponera nr obscurans, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pheidole valens, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant 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.
This code was used for the numerical experiments in the CRC 1173 Preprint 2023/2 (URL: https://www.waves.kit.edu/downloads/CRC1173_Preprint_2023-2.pdf) by C. Carle and M. Hochbruck.
The scripts are intended to reproduce the figures from the preprint "Error analysis of second-order local time integration methods for discontinuous Galerkin discretizations of linear wave equations" by Constantin Carle and Marlis Hochbruck ################################################################################ #### Requirements The codes are tested with Ubuntu 20.04.2 LTS and Python 3.8.10 and the following version of its modules: numpy - 1.17.4 scipy dolfin (fenics) - 2019.2.0.dev0 (including mshr) matplotlib - 3.1.2 tikzplotlib - 0.9.6 pandas - 0.25.3 ################################################################################ #### Generation of figures For the generation of Figure Y, Y=1,2,3, either execute the Python script 'script_figY.py' in a suitable integrated development environment or run the command python3 script_figY.py in a terminal session. For the generation of Figure 4 first execute the Python script 'script_fig4_data.py' (via a suitable integrated development environment or in a terminal session) which generates and saves the data for the figure. To obtain the figure execute the script 'script_fig4_plot.py' (the script 'script_fig4_plot_single.py' generates a different view of the data). Additionally to the plots you can get the tikz-files which were used for generating the figures in the preprint by setting the Boolean variable 'write_tikz' from 'False' to 'True' at the beginning of the scripts. The scripts for Figure 1, 2, 4 run in parallel on all available processors. The number of used processors can be specified with the variable 'num_processors_max' (integer). - 1.3.3
Numerical experiments to "Error analysis of second-order local time integration methods for discontinuous Galerkin discretizations of linear wave equations"
Institut für Experimentelle Teilchenphysik
Histograms with nominal and varied events
Data analysis objects for Measurement of Triple-Differential Z+Jet Cross Sections with the CMS Detector at 13 TeV
Processed micro-tomographic scan of the ant Monomorium gabrielense, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Metapone emersoni, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Lasius orientalis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant OUTGROUP_Apis mellifera, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Polyrhachis spinicola, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Trichomyrmex oscaris, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Polyergus samurai, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Colobopsis shohki, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pseudolasius sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Dolichoderus quadridenticulatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Camponotus vestitus strophiatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Brachymyrmex donisthorpei, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Strumigenys precava, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Temnothorax formosus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Paltothyreus tarsatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Eciton rapax, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Vollenhovia sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tetramorium polymorphum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pheidole tumida, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains FAIR records which describe the tribological experiment Copper under Constant Normal Load #0033, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0033 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Deutsches Mobilitätspanel (MOP) - Statistiken zur Alltagsmobilität sowie zu Fahrleistung und Kraftstoffverbrauch 2002 - 2011
CSV data containing ten vehicle signals logged via the OBD-II interface: Engine coolant temperature, intake manifold absolute pressure, engine RPM, vehicle speed sensor, intake air temperature, air flow rate from mass flow sensor, absolute throttle position, ambient air temperature as well as the accelerator pedal positions D and E. The data was recorded with the OBD-II dongle KIWI 3 from PLX Devices in combination with the smartphone application OBD Auto Doctor from Creosys on an iOS device. The file name is assembled according to the following scheme: <yyyy-mm-dd>_<brand>_<model>_<from>_<to>_<condition>_<extension>.csv - <from> and <to> represent start and end position of the log according to the German number plates, i.e. KA = Karlsruhe etc. - <condition> is a label indicating the principle road conditions (e.g. normal, frei/free, Stau/busy) - <extension> is optional and marks special situations occurring in the vehicle speed data
Processed micro-tomographic scan of the ant Forelius brasiliensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Psalidomyrmex reichenspergeri, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Aphaenogaster gonacantha, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Myrmica taediosa, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Solid solution strengthening in Mo-Nb solid solutions modelled using the Suzuki model including recent additions by Rao and Co-Workers. Implemented in Matlab R2022a, Update 5.
Matlab code for the modelling, exported as .txt file for better accessibility.
Solid solution strengthening in Mo-Nb modelled using the Suzuki approach
Der Datensatz enthält UAS Aufnahmen aus den untersuchten Gebieten. Der Datensatz besteht aus Farbbildern der optischen Kamera, sowie den gleichzeitig aufgenommenen Wärmebildern.
Problemstellung Georisiken wie Erdfälle können ein Risiko für die Sicherheit der Bevölkerung darstellen und Schäden an öffentlichem und privatem Eigentum verursachen. Herkömmliche Methoden zur Entdeckung von Erdfällen sind in relevanten Gebieten teils schwer durchführbar. Gefährdete Bereiche sind unter Umständen schwer zugänglich sowie zu weitläufig. Bisher existiert keine effiziente, automatisierbare Methode zur Früherkennung von Erdfällen. Unbemannte Luftfahrtsysteme (UAS) können hier neue Möglichkeiten bieten. Projektziel Verschiedene mit UAS einsetzbare Methoden werden hinsichtlich ihrer Tauglichkeit zur Früherkennung von Erdfällen evaluiert. Für das jeweilige Potential von Aufnahmen wird in zwei Testgebieten eine aussagekräftige Datenbasis geschaffen. In der Forschung erprobte Methoden werden mit dem bereits gängigen Einsatz von UAS kombiniert und so in die Praxis übertragen. Aus den gewonnenen Daten werden für das Landesamt für Geologie und Bergbau Rheinland-Pfalz Gefahrenhinweiskarten der Testgebiete erstellt, um Sicherungsmaßnahmen zu ermöglichen. Durchführung Es werden großflächige UAS-Befliegungen mit thermalen und kurzwelligen Infrarot-Sensoren, RGB- und Hyperspektral-Kameras sowie einem Gas-Multisensor in den zwei Risikogebieten durchgeführt. Zur Kampagne gehören Befliegungen zu verschiedenen Jahreszeiten. Dabei soll ermittelt werden, ob verborgene Karst- und Bergbauhohlräume durch ihre thermische Signatur sowie durch eventuell ausströmende Gase wie z.B. CO2 erfasst werden können.
UAS-gestützte Detektion von infrastrukturrelevanten Georisiken - AuDeRi - UAS Datensätze (Teil 1)
This dataset contains FAIR records which describe the laboratory equipment utilized in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Laboratory Equipment for Tribological Experiments - Sapphire on Copper - FAIR Dataset
This dataset contains FAIR records which describe the software utilized in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Software for Tribological Experiments - Sapphire on Copper - FAIR Dataset
This software package contains the implementation of the approximate inverse for 2D linear seismic imaging using the common offset acquisition geometry.
Deutsche Forschungsgemeinschaft – Project-ID 258734477 – SFB 1173
Approximate Inversion of generalized Radon Transforms - Software package (v1.0)
# 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)
Raw data for the publication "Mapping local atomic structure of metallic glasses using machine learning aided 4D-STEM"
Amorphous materials, e.g., polymers, metallic and oxidic glasses, consist of heterogeneous atomic/molecular packing at the nanoscale. Spatial variation of the local structure plays an important role in determining material properties. Experimentally probing the local atomic structure within the amorphous phase has been one of the main challenges for material research. Here, we present a new approach to characterize the local atomic structure and map structural variants in the amorphous phase using machine learning (ML) aided four dimensional-scanning transmission electron microscopy (4D-STEM). We utilized nonnegative matrix factorization (NMF) to identify the local structural types of metallic glasses from the 4D-STEM dataset. Using Fe-based metallic glasses as a model system, we demonstrate that two basic structural types, one with a more liquid-like and another with a more solid-like structure, are distributed throughout the glass with a characteristic length scale of a few nanometers. Thermal annealing induces a change in their distribution and relative population but without the appearance of any additional phase. This provides new insight into the relaxation phenomena of metallic glass and solid experimental evidence for the theoretical hypothesis on atomic packing in glassy structures.
Four dimensional-scanning transmission electron microscopy (4D-STEM)
Mapping local atomic structure of metallic glasses using machine learning aided 4D-STEM
Raw data: Mass spectrometry (MS), dynamic light scattering (DLS), residence time distribution (RTD), infrared spectra (IR), transmission electron microscopy images, i.e. scanning transmission electron microscopy - high angle annular darkfield detector (STEM-HAADF)
Raw data for publication "Continuous flow synthesis of atom-precise platinum clusters" in Nanoscale Advances, 2024, DOI: 10.1039/D4NA00074A
Raw data for Continuous Flow synthesis of Atom-Precise Platinum Clusters
Institut für Nanotechnologie (INT), Karlsruher Institut für Technologie (KIT), Helmholtz-Institut Ulm (HIU), Karlsruher Institut für Technologie (KIT)
this link is for the raw and processed TEM data belonging to the article. The raw data can be open via Velox software from Thermofisher.
Layered high-entropy sulfides: boosting electrocatalytic performance for hydrogen evolution reaction by cocktail effects
TEM raw dataset corresponding to the graphs and maps depicted in the manuscript
Influence of Zr-doping on structure and transport properties of rare earth high-entropy oxides
Alkali metal-sulfur batteries (Li/Na-S) have attracted much attention because of their high energy density, the natural abundance of sulfur, and environmental friendliness. However, Li/Na-S batteries still face big challenges, such as limited cycle life, poor conductivity, large volume changes, and “shuttle effect” caused by the high solubility of Li/Na-polysulfides. Herein, novel organosulfur-containing materials, i.e., bis(4-hydroxy-2,2,6,6-tetramethylpiperidin-1-yl)disulfide (BiTEMPS-OH) and 2,4-thiophene/arene copolymer (TAC) are proposed as cathode materials for Li and Na batteries. BiTEMPS-OH shows an initial discharge/charge capacity of 353/192 mAh g-1 and a capacity of 62 mAh g-1 after 200 cycles at 100 mA g-1 in ether-based Li-ion electrolyte. Meanwhile, TAC has an initial discharge/charge capacity of 270/248 mAh g-1 and better cycling performance (106 mAh g-1 after 200 cycles) than BiTEMPS-OH in the same electrolyte. However, the rate capability of TAC is limited by the slow diffusion of Li-ions. Both materials show inferior electrochemical performances in Na battery cells compared to the Li analogs. X-ray powder diffraction reveals that BiTEMPS-OH loses its crystalline structure permanently upon cycling in Li battery cells. X-ray photoelectron spectroscopy demonstrates the cleavage and partially reversible formation of S-S bonds in BiTEMPS-OH and the formation/decomposition of thick solid electrolyte interphase on the electrode surface of TAC.
The data include electrochemistry data, XRD data, and XPS data, which was plotting using Origin software.
Electrochemical Investigations of Sulfur-Decorated Organic Materials as Cathodes for Alkali Batteries
Institut für Neutronenphysik und Reaktortechnik (INR), Karlsruher Institut für Technologie (KIT)
The nomenclature is given in the data-file
The file contains the prepared distributions of the mean velocities, Reynolds stresses, triple velocity correlations, skewness and kurtosis of the publication: Ruck, S. and Lorenzo Mercado, I. The effects of wall proximity on the turbulent flow field in a square duct structured with detached divergent ribs on one wall, Experiments in Fluids.
Turbulent channel flow Divergent detached ribs Ribbed surfaces Laser-Doppler-anemometry Separated flows
Dataset of the effects of wall proximity on the turbulent flow field in a square duct structured with detached divergent ribs on one wall
Noise and vibration emissions from electric vehicle gearboxes are greatly influenced by the properties of the gearbox housing. Reducing the weight of the housing requires to evaluate the impact of lightweight design on noise and vibration performance. In this paper, the effect of different rib arrangements on the noise and vibration performance of a lightweight transmission is investigated. The ribs allow to increase local stiffness while still reducing the total mass. The local stiffness is derived in different areas of the housing to determine potential areas of optimization. Then ribs on the surface of the gearbox housing in different arrangements and positions are applied to the model and their influence on the vibrational behaviour and acoustic emission are investigated numerically.
Please read the read-me file. The authors Colangeli, Claudio; Cuenca, Jacques and Kucukcoskun, Korcan are affiliated with the organization Siemens Digital Industries Software.
Effect of Lightweight Design on the NVH Behavior of an Electric Vehicle Gearbox Housing
Processed micro-tomographic scan of the ant 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 Dolichoderus debilis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This repository contains the datasets used in the study 'The seasonal cycle of ice-nucleating particles linked to the abundance of biogenic aerosol in boreal forests'. Detailed information and technical aspects of the data can be found in there. In case more information about the data structure is needed, the folders contain an additional Readme file.
Datasets to: The seasonal cycle of ice-nucleating particles linked to the abundance of biogenic aerosol in boreal forests
ANDeS: An automated nanoliter droplet selection and collection device [Gesperrt]
Processed micro-tomographic scan of the ant Neivamyrmex jerrmanni, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Leptogenys intermedia, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Leptogenys cf gaigei, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Myrmecocystus mendax, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Lasius fuji, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pheidole oxyps, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pheidole cf biconstricta, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Labidus coecus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Aphaenogaster tipuna, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pheidole pieli, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Acanthomyrmex glabfemoralis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant OUTGROUP_Campsomeriella annulata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Wasser und Umwelt (IWU), Karlsruher Institut für Technologie (KIT)
This file contains the reservoir data and model outputs for the manuscript titled, "Is drought protection possible without compromising flood protection? Estimating the maximum dual-use benefit of small flood reservoirs in Southern Germany" by Sarah Quynh-Giang Ho and Uwe Ehret. To properly read this data, the class definition file hrb.m must be downloaded from https://doi.org/10.5281/zenodo.12724797 .
Processed micro-tomographic scan of the ant Platythyrea schultzei, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Camponotus blandus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Aenictus lifuiae, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This code is used for the numerical experiment in Section 6 of the paper "A unified error analysis for nonlinear wave-type equations with application to acoustic boundary conditions" by Jan Leibold. The computations are done in C++ using the Finite Element library deal.II; the plots then are generated with Matlab. To use this code, deal.II (release 9.3.2) has to be installed, cf. https://www.dealii.org/9.3.0 In order to compile the program, open a terminal session in this folder and call "cmake -DDEAL_II_DIR=/path/to/deal.II .". Next, call "make release" and then "make" to compile the files. Finally, run the program with "make run". This performs the computations and generates the file "results" containing the results of the numerical experiments. After that, the plots can be generated with the Matlab Script 'plot_figures.m'.
Numerical experiments to "A unified error analysis for nonlinear wave-type equations with application to acoustic boundary conditions" (Version 2)
Processed micro-tomographic scan of the ant Polyrhachis militaris, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cyphomyrmex peltatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cyphomyrmex minutus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Nylanderia natalensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Polyrhachis dives, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Angewandte und Numerische Mathematik (IANM), Karlsruher Institut für Technologie (KIT)
Implementation and simulation data for the dissertation with the title 'Semi-Analytical Integration in Molecular Dynamics'. The 'Implementation' folder contains the implementations of the leapfrog chebychev and the trigonometric integrator in LAMMPS. The code only works when build with LAMMPS. For a detailed discription of the functionalities see Chapter 6 of the dissertation 'Semi-Analytical Integration in Molecular Dynamics'. The Simulation folder contains the input files for each simulation presented in the dissertation. There is a folder for each simulation with a README file specifying the usage.
Simulation data for 'Semi-Analytical Integration in Molecular Dynamics'
Processed micro-tomographic scan of the ant Tetramorium smithi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Strumigenys canina, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Nylanderia parvula, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Procryptocerus goeldii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Werkstoffkunde (IAM-WK), Karlsruher Institut für Technologie (KIT)
Werkstoffkunde (IAM-WK), Karlsruher Institut für Technologie (KIT), Karlsruhe Nano Micro Facility (KNMF), Karlsruher Institut für Technologie (KIT)
sample desired composition / at% number Au Cu Ni Pd Pt Au_Ni_CuPdPt series 236 0.0 25.0 25.0 25.0 25.0 237 2.5 25.0 22.5 25.0 25.0 238 5.0 25.0 20.0 25.0 25.0 239 15.0 25.0 10.0 25.0 25.0 240 10.0 25.0 15.0 25.0 25.0 241 7.5 25.0 17.5 25.0 25.0 242 20.0 25.0 5.0 25.0 25.0 243 25.0 25.0 0.0 25.0 25.0 Ni_Pt_AuCuPd series 248 25.0 25.0 0.0 25.0 25.0 249 25.0 25.0 5.0 25.0 20.0 250 25.0 25.0 10.0 25.0 15.0 251 25.0 25.0 15.0 25.0 10.0 252 25.0 25.0 20.0 25.0 5.0 253 25.0 25.0 25.0 25.0 0.0 subfolder designations XRD: X-ray diffraction patterns with 2Theta angle in ° and intensity SEM: Backscatter electron contrast micrographs microhardness: Data on several indents to obtain HV0.2, incl. indent position, indent size in µm, magnification, indentation time, etc. compressiontest: Data on compression tests incl. force and strain or machine-corrected position APT: Atom probe tomography data according to Cameca standards
Research data from "Solid solution strengthening in single-phase Au-Cu-Ni-Pd-Pt-based high-entropy alloys"
Processed micro-tomographic scan of the ant Blepharidatta conops, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Ochetomyrmex semipolitus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Meranoplus inermis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Daceton armigerum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Paratrechina flavipes, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Lasius spathepus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Input files to run the 3D inversion using SIMULPS - CNTL (control file) - MOD_in (initial velocity model) - EQKS (initial earthquake catalogue + arrival times) - STNS (seismic stations info) Initial models - MOD_2din (2D smooth P-wave velocity model, SIMULPS format) - MOD_3din (3D P-wave velocity model for Vp/Vs inversion, SIMULPS format) Final results - final_locations (earthquake catalog + arrival times) - MOD_3dout (3D seismic velocity model, SIMULPS format) - 3DVM_results.for_plot (3D seismic velocity model) * To run these data SIMULPS (Thurber, 1983, Eberhart-Philips, 1986) is needed: http://faldersons.net/Software/Software.html ** The results can be visualized using gmt and simul2gmt utilities
Research data for '3D local earthquake tomography of the Ecuadorian margin in the source area of the 2016 Mw 7.8 Pedernales earthquake'
Processed micro-tomographic scan of the ant Kalathomyrmex emeryi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Messor striatifrons, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant OUTGROUP_Hymenoptera sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Neivamyrmex piraticus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Proceratium japonicum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pogonomyrmex pima, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Atta sexdens, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Acropyga silvestrii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Raw data containing friction data, profilometry and transmission electron microscopy data
Raw data to manuscript by Rau et al.: "Three regimes in the tribo-oxidation of high purity copper at temperatures of up to 150°C"
Short summary: Heuristics and analysis techniques exist to overcome the non-transparency, but their selection and adaption for particular cases is often difficult and not supported methodically. Classes of errors occurring in system observation are operationalised into requirements for analysis techniques to develop the Selection Matrix. This is evaluated on a wood screw connection as a non-transparent system. In the following, the evaluation of the analysis techniques is explained. The Chapters are sorted by requirements.
Methodical support for the investigation of system behaviour with analysis techniques - Overcoming the non-transparency in embodiment design
Processed micro-tomographic scan of the ant Protalaridris armata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant 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.
Die dieser Veröffentlichung zugrunde liegenden Arbeiten wurden im Auftrag des Bundesministers für Verkehr und digitale Infrastruktur unter FE-Nr. 70.938/2017 durchgeführt. Die Verantwortung für den Inhalt liegt ausschließlich beim Autor.
Deutsches Mobilitätspanel (MOP) - Statistiken zur Alltagsmobilität sowie zu Fahrleistung und Kraftstoffverbrauch 2008 - 2017
Die dieser Veröffentlichung zugrunde liegenden Arbeiten wurden im Auftrag des Bundesministers für Verkehr und digitale Infrastruktur unter FE-Nr. 70.923/2015 durchgeführt. Die Verantwortung für den Inhalt liegt ausschließlich beim Autor.
Deutsches Mobilitätspanel (MOP) - Statistiken zur Alltagsmobilität sowie zu Fahrleistung und Kraftstoffverbrauch 2007 - 2016
Processed micro-tomographic scan of the ant Paratrechina zanjensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This is the Sound Generator File used in the Driving Simulator Study about the Influence of emotionalizing Sound Designs on Driving behaviour. Native Instruments Reaktor 6 is necessary for running the Sound Generator. The saved preset inside the sound generator is the preset used in the experiment.
Sound Generator File of Driving Simulator Study for Native Instruments Reaktor 6
Processed micro-tomographic scan of the ant Strumigenys sp gundlachi group, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Camponotus vicinus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Neivamyrmex hetschkoi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Dolichoderus sibiricus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Temnothorax congruus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Information about the content can be found on page 187 of the dissertation.
Processed micro-tomographic scan of the ant Calyptomyrmex brunneus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant 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 Strumigenys lewisi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Hylomyrma immanis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Zasphinctus sarowiwai, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Camponotus albosparsus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Acromyrmex echinatior, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Neoponera goeldi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Datensatz zu der Publikation "Nanoantennas Inversely Designed to Couple Free Space and a Metal–Insulator–Metal Waveguide". DOI: 10.3390/nano11123219
Dataset to the publication 'Nanoantennas Inversely Designed to Couple Free Space and a Metal–Insulator–Metal Waveguide'
Processed micro-tomographic scan of the ant Euprenolepis procera, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pseudomyrmex veneficus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pheidole midas, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Myrmica kotokui, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains FAIR records which describe the tribological experiment Copper under Constant Normal Load #0016, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0016 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Processed micro-tomographic scan of the ant Apterostigma sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Crematogaster rectinota, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cardiocondyla kagutsuchi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cryptopone sauteri, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tetramorium semilaeve, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Nylanderia OK02, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Kristallisation einer Hexadecan-in-Wasser Emulsion unter dem Polarisationsmikroskop
Processed micro-tomographic scan of the ant Chronoxenus wroughtonii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Crematogaster nawai, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Vitsika brevis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Neoponera verenae, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Myopopone castanea, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Probolomyrmex sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Carebara yamatonis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant OUTGROUP_Apoidea sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Datensatz zu der Publikation "An NMR-compatible microfluidic platform enabling in situ electrochemistry". DOI: 10.1039/D0LC00364F
Dataset to the publication 'An NMR-compatible microfluidic platform enabling in situ electrochemistry'
Processed micro-tomographic scan of the ant Anoplolepis steingroeveri, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Temnothorax nylanderi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Sericomyrmex bondari, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Ravavy afrc-za02, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant 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 Rhopalomastix OK01, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Leptogenys diminuta, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Industrielle Informationstechnik (IIIT), Karlsruher Institut für Technologie (KIT)
Replication data for: Robotic Wiring Harness Bin Picking Solution using a Deep-Learning-based Spline Prediction and a Multi-Stereo Camera Setup
Notice: Internally, the cameras 1, 2 and 3 are called 4, 5 and 6 respectively in this dataset. - intrinsic_calibration_patterns/: Patterns used during intrinsic calibration displayed on the calibration monitor - intrinsic_calibration/: Recordings from each camera of the clibration monitor - extrinsic_calibration/: - pose#.json: Robot poses during the extrinsic calibration - pose#/: Recordings from each camera during extrinsic calibration - validation/: Validation data - pose#: Recordings from each camera during validation
Replication Data for: SCAP2024 Robotic Wiring Harness Bin Picking - Camera Calibration
The data was recorded at the microXAS beamline at the Swiss Light Source (SLS, Villigen, Switzerland) in June 2019. Subject of the experiment was a copper-based zeolite catalyst prepared as a washcoated monolith. A detailed description about the data can be found in the readme of this data set and in the corresponding publication.
Die Daten wurden an der microXAS-Beamline an der Swiss Light Source (SLS, Villigen, Schweiz) im Juni 2019 aufgezeichnet. Gegenstand des Experiments war ein Zeolith-Katalysator auf Kupferbasis, der als beschichteter Monolith hergestellt wurde. Eine detaillierte Beschreibung der Daten ist in der Readme-Datei dieses Datensatzes und in der entsprechenden Publikation zu finden.
The measurement mode was full-field and the data available here contains the recorded 2D projections, consisting of absorption contrast images. The data is saved in TIFF files each corresponding to one specific energy point and rotation angle. For a description of exact energy points and rotational angles used, see the corresponding publication. This dataset is measured under SCR conditions (1000 ppm NO, 1000 ppm NH3, 7.8% O2 in He as balance gas, flow rate 50 ml/min) at 400°C.
Full-Field XANES tomography data of a Cu-SSZ-13 washcoated monolith: SCR @ 400°C dataset
This is the dataset of the paper "Simultaneous multinuclear MRI via a single RF channel"
Dataset-Simultaneous multinuclear MRI via a single RF channel
Engineering stress, engineering strain data on Mo-Nb alloys and Mo-Ti (up to 80 at.% Ti) are provided as unicode-compliant Origin project file. The free Origin project viewer might be used to access the data. The compositions are provided in at.%. Engineering stresses are in MPa. Engineering strains are without unit (= 1).
Comprehensive compressive stress-strain data of Mo-Ti and Mo-Nb solid solutions
Processed micro-tomographic scan of the ant Solenopsis invicta, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Polyrhachis lamellidens, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Carebara okm01, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
A detailed description of the data is given on the corresponding Github-page (https://github.com/benediktschulz/paper_pp_wind_gusts).
Datensatz zu Schulz und Lerch (2022): "Machine learning methods for postprocessing ensemble forecasts of wind gusts: A systematic comparison", Monthly Weather Review, 150 (1), 235-257, https://doi.org/10.1175/MWR-D-21-0150.1. Die Daten beinhalten die NWV-Vorhersagen und dazugehörigen Beobachtungen im gesamten Zeitraum von 2010 bis 2016 sowie die nachbearbeiteten Vorhersagen im Testzeitraum 2016. Weiter sind noch die Stationsdaten sowie die berechneten Scores im Testzeitraum enthalten. Die NWV-Vorhersagen beinhalten die einzelnen Ensemble-Member der Windböen-Vorhersage sowie die Mittelwerte und Standardabweichungen der anderen Ensemble-Variablen. Zusätzlich zu den nachbearbeiteten Vorhersagen sind auch Informationen zu den trainierten Modellen verfügbar (bspw. geschätzte Parameter).
Data set for Schulz and Lerch (2022): "Machine learning methods for postprocessing ensemble forecasts of wind gusts: A systematic comparison", Monthly Weather Review, 150 (1), 235-257, https://doi.org/10.1175/MWR-D-21-0150.1. The data includes the NWP forecasts and corresponding observations for the entire period from 2010 to 2016 as well as the postprocessed forecasts for the test period 2016. The station data and the calculated scores for the test period are also included. The NWP forecasts contain the individual ensemble members of the wind gust forecast as well as the ensemble mean and standard deviation values of the other ensemble variables. In addition to the postprocessed forecasts, information on the trained models is also available (e.g., estimated parameters).
Machine Learning Methods for Postprocessing Ensemble Forecasts of Wind Gusts: Data
Data of 5 figures as separate sheets in one MS_Excel file
Optimization of reactively sputtered Mn$_3$GaN films based on resistivity measurements
Processed micro-tomographic scan of the ant Xerolitor explicatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
In this experiment, ex situ STXM-CT was performed on single wires, with angles ranging from 0 to 360 degrees. The single wires were extracted from aged Pt/Rh gauzes treated under industrial ammonia oxidation conditions for 100 h of reaction time. The data available here contains the final and processed tomographic volumes of the wire measured at two energies above and below the Rh K-edge, at 23300 eV and 23208 eV respectively. Each 3D volume has been stacked as slices in each TIFF file provided here.
This tomographic scanning transmission X-ray microscopy (STXM-CT) data was acquired at the P06 microprobe beamline of the PETRA III (Deutsches-Elektronen Synchrotron DESY, Hamburg). The sample measured during this experiment was a single wire extracted from the Pt/Rh gauzes aged under industrial ammonia oxidation conditions for 100 h of time on stream. A detailed description of the dataset can be found in the corresponding readme file and its associated publication.
Resonant STXM-CT on single wire extracted from Pt/Rh gauzes treated under ammonia oxidation conditions for 100 h
Institut für Angewandte Materialien – Werkstoff- und Grenzflächenmechanik (IAM-MMI), Karlsruher Institut für Technologie (KIT), Institut für Angewandte Materialien – Zuverlässigkeit und Mikrostruktur (IAM-ZM), Karlsruher Institut für Technologie (KIT)
Institut für Angewandte Materialien – Zuverlässigkeit und Mikrostruktur (IAM-ZM), Karlsruher Institut für Technologie (KIT)
Raw data and Matlab codes behind the manuscript "Forecasting Friction Behavior Despite its Chaotic Nature"
Raw data and codes to manuscript "Forecasting Friction Behavior Despite its Chaotic Nature"
Karlsruhe Institute of Technology - Institute of Meteorology and Climate Research
The data files are packed, consisting of 8 NC-files, and then compressed using xz
Simulated concentration data for birch pollen, birch SPP and hydrometeors and atmospheric variable (Part 2)
ICON-ART data: Dispersion and Aging of Volcanic Aerosols after the La Soufrière Eruption in April 2021 (Part 1/3)
Wissenschaftliche Zeitschrift der DHFK Leipzig (1985), Sonderheft 1, 109-139
Untersuchungen zum Sportabzeichenprogramm der DDR
Abbreviations for columns can be linked to the information in the dissertation document.
Dataset ASU_EU_Paper, Additional_Data_Collection_Effective_Use
Ferrally, M., Watkins, J. & Ewing, B. Scottish school of physical education.
This dataset of MIPAS/ENVISAT VMR data and corresponding atmospheric 2D circulation fields supplements the publication 10.5194/acp-2020-72 and was computed using the ANCISTRUS software provided in 10.5445/IR/1000127728. The circulation fields are exemplary test cases for the monthly means March to April 2005, February to March, August to September, and September to October 2010. The figures used in the publication are linked into the directory Figures/. The data provided is licensed under the terms of CC BY-NC-ND 4.0 International, see file LICENSE.
This dataset provides the supplementary MIPAS VMR data and resulting atmospheric circulation fields for publication 10.5194/acp-2020-72, using the software provided in 10.5445/IR/1000127728.
Supplement: MIPAS VMR data and circulation fields for publication 10.5194/acp-2020-72
DIVAID is an open pipeline that divides atrial geometries into clinically important regions according to previously proposed definitions.
Simulation files obtained with code phaseFieldFoam, OpenFOAM-ext 4.0 (ASCII format) Figure files (OriginLab 2019)
Research data for publication Dadvand et al. (2021) Physics-of-Fluids (doi: 10.1063/5.0048614)
"Entwicklung eines Eignungstests fuer die Zulassung zum Sportstudium" in Sportunterricht, 25, (1976), 5 , S. 148-153Verf. beschreibt einen Eignungstest, der zum Wintersemester 1975/76 erstmals bei maennlichen und weiblichen Bewerbern fuer das Sportstudium angewandt wurde. Die leistungsdiagnostische Aufgabe des Tests besteht in der Feststellung der motorischen Grundeigenschaftenin Relation zu den Anforderungen der Grundkurse. Es werden keine sportmotorischen Fertigkeiten, sondern motorische Eigenschaften wie Ausdauer, Geschicklichkeit und Schnelligkeit in Spielsituationen geprueft. Die Tests bestehen aus den Untergruppen Haro-Fitness-Test, Geraetturnen, Leichtathletik, Schwimmen, Spiele und setzen sich aus verschiedenen Einzeltests zusammen. Alle Ergebnisse werden in Testpunkte umgerechnet, von denen zum Schluss eine Mindestzahl erreicht werden muss. Gewisse Schwaechen in Einzeltests koennen in anderen wettgemacht werden. Zur Erstellung der Normen wurden zwei Probedurchlaeufe in Beziehung zu bereits gewonnenen Erfahrungswerten gebracht. Von jedem Item wurde die Standardabweichung ermittelt, die Messwerte in eine Standardnormalverteilung transformiert und die T-Werte ermittelt. Die Ergebnisse der Einzeltests werden in diesen Werten ausgedrueckt und fuer jede Untergruppe das arithmetische Mittel gebildet. Das Mittel aller fuenf Mittelwerte bildet das Gesamtergebnis.
Entwicklung eines Eignungstests für die Zulassung zum Sportstudium
Simulated concentration data for birch pollen, birch SPP and hydrometeors and atmospheric variable (Part 18)
Using the calculator 1. Open MATLAB and the CO2_Calculator.mlx file 2. Open the “LIVE EDITOR” tab and press “RUN” Now a series Pop-Up windows will appear, asking for input. Please note that all inputs must be numeric, and a decimal dot is used instead of a comma (example: 20.5 and not 20,5). 3. Enter which processes are included (1 for yes 0 for no) 4. Enter the sheet thickness [mm] (1-6 in whole numbers) as well as the workpiece weight [kg] 5. If laser cutting is included: Enter cutting length [mm] 6. If bending is included: a. Enter the number of bends (Max. 6) b. Enter the tensile strength [N/mm²] (dt. “Zugfestigkeit”) c. Enter the bending angle [mm] and bending length [mm] for each individual bend 7. If welding is included: a. Enter number of welds (Max 6) b. Enter the shielding gas type (1: Ar + 2% CO2; 2: Ar + 18% CO2; 3: C25; Ar + 25% CO2; 4: opens a new window for your own specifications) Note: if unknown choose 1 for the lowest CO2 Emissions c. Enter the welding length [mm], the number of passes as well as the distance between the welds [mm] for each individual weld. Note: if the distance between the welds is not known, enter 0 or an estimate 8. Enter if you want to save your results or not Note: please include “.xls” in the filename to save the file as Excel After everything is entered the results are presented in kg of emitted CO2 on the right, please scroll down. For the welding process emitted fumes and particles (shielding gas 1&2) are presented as well.
Nowadays sustainable design is a mandatory requirement in the product development pro-cess. For this reason, design methodologies are addressed to establish a close relationship between environmental, social and economic impact indicators and product features from early design stages, especially in those features related to its manufacturing. In this thesis, the design for manufacturing and assembly — DFMA methodology shall be investigated to sheet metal devices, integrating functional and component relationships to minimize particu-lar sustainability indicators such as energy consumption, carbon footprint, number of parts, required amount of material, assembly time and manufacturing costs. You shall be open to discuss with suppliers their energy consumption and compare various manufacturing pro-cess possibilities based on their carbon footprint and other sustainability indicators. The aim of this thesis is to support the design engineer with a guideline of how to be able to develop not only cost efficient concepts but in the same time be able to reduce the carbon footprint and other sustainability indicators of their product.
Sustainability Analysing and Comparing Tool in Design for Manufacturing
Motorik Daten wurden mittels DKT (Dordel Koch Test) erhoben. Erfasst wurde objektiv (Anthropometrie, wie auch Motorik) vor Ort durch geschultes Personal Diese Daten sind Baseline-Daten (uninterventiert) einer longitudinalen Messung
Komm mit in das gesunde Boot (Grundschule)
The spectra were measured on January 9th, 2020 at the heights above the chamber bottom of 1 m, 2.1 m, 2.9 m and 4.0 m with an uncertainty of ±10 cm in the center of the chamber with an Opsytec SR Pro UV-Vis Spectrometer connected to a UV-diffusor in W m-2 (spectral resolution: 2.3 nm (FHWM)) . The Opsytec SR Pro UV-Vis Spectrometer had been calibrated on December 11th, 2019 by Opsytec Dr. Gröbel GmbH showing spectral differences of less than 0.3 nm and an accuracy of ±9% for the radiometric results. The AIDA light source was operated at the highest output possible at room temperature for this characterization. Drastic outliers were considered as measurement artefacts and replaced by the median. The median was calculated with 15 points and every point exceeding the median by a threshold of 0.04 was replaced with the median. This resulted in the replacement of at most 21 out of the 2048 data points and does not change the general spectral information. The data measured at different heights were saved as a space separated text file: SRPro-central-measurements-20200109.txt. Please note that these data are related to the following publication in the AMT Special Issue: Simulation chambers as tools in atmospheric research: Vallon, M., Gao, L., Jiang, F., Krumm, B., Nadolny, J., Song, J., Leisner, T., and Saathoff, H.: LED based solar simulator to study photochemistry over a wide temperature range in the large simulation chamber AIDA, Atmos. Meas. Tech. Discuss. [preprint], https://doi.org/10.5194/amt-2021-362, in review, 2021.
ADDITIONAL INFORMATION ON THE SPECTRAL LIGHT MEASUREMENTS IN THE AIDA AEROSOL AND CLOUD SIMULATION CHAMBER TO CHARACTERIZE AN LED BASED SOLAR SIMULATOR
Spektren der Lichtquelle in der AIDA Aerosol und Wolkenkammer
Light spectra measured inside the AIDA aerosol and cloud simulation chamber
Simulated concentration data for birch pollen, birch SPP and hydrometeors and atmospheric variable (Part 13)
Simulated concentration data for birch pollen, birch SPP and hydrometeors and atmospheric variable (Part 9)
Aim Due to the increasing spread of the coronavirus and the accompanying containment measures, physical activity opportunities for children were severely restricted. The present study focuses on changes in children?s physical fitness during this period. Methods We conducted an almost full census of 131 primary school children in the 2nd grade in Bad Dürkheim, assessing their physical fitness immediately before the school closures on 16 March 2020 and after the end of the summer holidays in Rhineland-Palatinate, Germany. The standardised German motor skills test with representative reference values was used. For evaluation, we used repeated measures analysis of variance. Results We found a significant increase in physical fitness and BMI for the total sample during the observation period. Only in the dimensions of speed and endurance did the children show less development than would have been expected for their age. The proportion of overweight children increased from 17.7 to 23.8%. Conclusion The results show that the frequently formulated fear that the Corona-related restrictions in spring/summer 2020 could have negative effects on children?s physical development is not completely justified. However, in the view of the authors, the developments in BMI and endurance diagnosed in the short observation period should definitely be understood as a warning signal in the case of further restricted physical activity offers due to school closures, suspended sport clubs.
Entwicklung der körperlichen Leistungsfähigkeit bei Kindern während der coronabedingten Einschränkungen im Frühjahr/Sommer 2020.
6 Minuten Lauf- Werte bei 9 Jährigen Jungen.Pädagogische Arbeit (unveröffentlicht)
@Einbeinstand [SALTO]: Ziel ist die Erhebung der Standdauer im Einbeinstand. Das Kind soll mit geöffneten Augen im Einbeinstand so lange wie möglich stehen (max. 30 Sek). @Rolle vw [SALTO]: Ziel ist eine Rolle vorwärts (Purzelbaum) in den Stand zu machen. Als Testkriterium wird die Endposition der ununterbrochenen dynamischen Bewegung definiert. Kein Überrollen (0): Das Kind schafft keine annähernd geradlinige Rollbewegung (mindestens in die Rückenlage) und fällt seitlich um. Rollen in die Rückenlage (1): Das Kind schafft eine Rollbewegung (auch mit gestreckter Wirbelsäule) in die Rückenlage. Rollen in den Sitz - ohne Aufstützen der Hände (2) : Das Kind schafft eine Rollbewegung (auch mit gestreckter Wirbelsäule) in den Sitz. Rollen in den Stand (3): Das Kind schafft eine Rolle in den Stand ohne mit den Händen nachzugreifen. @Hüpfen [0-4], Laufen [0-4], Standweit [0-4], Fangen [0-3], Kicken [0-4] und Werfen [0-4] siehe TGMD 2 und 3 (Test of Gross Motor Development). @Balancieren vorwärts [Anzahl der Schritte] und Pendellauf [Zeit] siehe MoTB (Motorik Testbatterie, Krombholz 2010).
Im Schuljahr 2021/22 wurde im elften Jahr in Folge im Rahmen von BERLIN HAT TALENT die physische Fitness von Berliner Drittklässlerinnen und Drittklässlern mit Hilfe des Deutschen Motorik-Tests (Bös et al., 2016) untersucht. Der Fokus lag dabei auf entwicklungsbezogenen und zeitlichen Trends der motorischen Leistungsfähigkeit sowie deren Auswirkungen auf die körperliche Gesundheit im Kindesalter in Berlin. In jedem der 11 Jahre erhielten ausgewählte öﬀentliche Grundschulen aus den 12 Berliner Stadtbezirken von der Berliner Schulverwaltung ein schriftliches Angebot für die Teilnahme. Die Auswahl der zu untersuchenden DrittklässlerInnen erfolgte schulweise durch eine vom Landessportbund Berlin (LSB) und der Berliner Schulverwaltung beauftragte Projektgruppe, wobei der Umfang dieser Stichprobe von Jahr zu Jahr ausgebaut wurde. Insgesamt 75.945 Berliner DrittklässlerInnen (mehr als 300 Schulen) absolvierten in – mit schriftlicher Einverständniserklärung ihrer Eltern – die sportmotorischen Tests. Die Erhebung der sportmotorischen Leistungen wurde einer auf die Erhebung von Sportdaten spezialisierten Firma übertragen, die diese mit nahezu unverändertem Personal über die Jahre realisiert hat.
Institute of Atmospheric Sciences and Climate
Data from CALISTHO21_new campaign taking place from 2021-12-21 - 2022-05-08 at Mt. Helmos HAC2 station. This dataset represents the processed data (Level 1) as created by the PIA software v2.1.0 (https://doi.org/10.5281/zenodo.15592850).
Data from FROSTDEFEND_23 campaign taking place from 2023-03-27 - 2023-04-24 at a lemon orchad near Aigio. This dataset represents the processed data (Level 1) as created by the PIA software v2.1.0 (https://doi.org/10.5281/zenodo.15592850).
The repository contains the results of structural drill core investigations with particular consideration of stress-induced features. The cores have been assembled and labelled and reference lines have been introduced. All structural information refers to these lines. We have distinguished between induced and natural open and filled fractures, stylolithes and bedding.
Interviews on the role of repositories for archiving and providing research data at Karlsruhe Institute of Technology (KIT)
4 interviews in total: interview 1+2 are added here, interview 3 remains unpublished by the interviewee's request, interview 4 wasn't recorded
Interviews zur Rolle von Repositorien für die Archivierung und Bereitstellung von Forschungsdaten am Karlsruher Institut für Technologie (KIT)
This data repository contains raw data for the analysis of decomposition error in discrete-time open tandem queues. The data is formatted for the computation and validation of point and interval estimates for decomposition error as well as for the analysis of decomposition error in bottleneck queues.
This data repository contains two folders: * *01 Equal Traffic Intensities* – Raw data for the analysis of decomposition error in tandem queues with equal traffic intensities, * *02 Bottleneck Analyses* – Raw data for the analysis of decomposition error in tandem queues with bottlenecks. The first folder contains a training data and a test data file. The second folder contains three files: * Data set with downstream bottleneck queues, * Data set with upstream bottleneck queues, * Data set with similar traffic intensities.
Data sets for the analysis of decomposition error in discrete-time open tandem queues
Data for figures 2 and 3 of the publication: "On suitability of phase-field and algebraic volume-of-fluid OpenFOAM® solvers for gas-liquid microfluidic applications" in the OriginPro Data format.
This dataset holds additional materials to the paper "Our (in)Secure Web: Understanding Update Behavior of Websites and Its Impact on Security".
Software updates take an essential role in keeping IT environments secure. If service providers delay or do not install updates, it can cause unwanted security implications for their environments. This paper conducts a large-scale measurement study of the update behavior of websites and their utilized software stacks. Across 18 months, we analyze over 5.6M websites and 246 distinct client- and server-side software distributions. We found that almost all analyzed sites use outdated software.
Our (in)Secure Web: Understanding Update Behavior of Websites and Its Impact on Security
Appendices containing the Supplemental Files for the doctoral thesis titled "Impact Structures: How post-impact thermal conditions influence magnetic behaviour"
Appendices - Impact Structures: How post-impact thermal conditions influence magnetic behaviour
Karlsruhe Institute of Technology (KIT), Geophysical Institute
The program RIGTID together with its subroutines computes the tidal accelerations on a rigid earth, i. e. no response of the Earth is considered. The tidal accelerations are calculated directly from the positions of moon and sun separately, i. e. if wanted two groups of tides (solar or lunar) can be handled differently. The program does not use a potential development, it includes the second, third, and fourth degree potential of the moon, but only the second degree potential of the sun. It treats the earth as an elliptically shaped body but does not include the direct effect of the earth's ellipticity on the tidal accelerations (Wilhelm 1983 and Dahlen 1993). It also does not take into account the speed of light. No planets are included, this is discussed by Broucke, Zuern, and Slichter, (1972, DOI: 10.1029/GM016p0319). This program was developed at UCLA in 1971/72 by Walter Zuern with the help of subroutines provided by Roger Broucke from JPL describing the position of the moon much more accurately than is done by the program developed by Longman previously. The description of the celestial mechanics of the Earth-Moon-Sun system was still very accurate in 2017 when compared to ephemerides, which are the basis of the most modern tidal potential catalogues. The program was originally already intended for free distribution ("open source" in 2017 speak). It has happened before that modifications were made in the main program by some people (rigtid.f) which were later detected to be faulty. It is recommended that users track the path of their version either starting at UCLA (probably not possible any more) or at BFO in order to be sure that no unwanted modifications crept in. If the program is used and an author wants a reference, the above (short) publication is the only one available.
Institut für Meteorologie und Klimaforschung Atmosphärische Aerosolforschung
The data in the two Excel files is related to the publication "Sources of organic gases and aerosol particles and their roles in nighttime particle growth at a rural forested site in southwest Germany" by Song et al., ACP, 2024, https://doi.org/10.5194/egusphere-2023-2255. The first Excel file (21Summer KITcn data-1) contains the time series of meteorological data, particle species measured by the AMS, eBC measured by the Aethalometer AE33, semi-volatile OA particle and selected VOC species measured by the CHARON-PTR-MS, and trace gases (NO, NO2, SO2, O3 and NH3). The second Excel file (21Summer KITcn data-2) contains the time series of source factors resolved from the PMF analysis of AMS-measured OA particles, CHARON-measured OA particles and PTR-measured VOCs, respectively.
The composition, sources and chemical transformation of volatile organic compounds (VOCs) and organic aerosol (OA) particles were investigated during July–August 2021 at a rural forested site in southwest Germany, 10 km north of the city of Karlsruhe. VOCs and semi-volatile OA particles were measured with a proton-transfer-reaction mass spectrometer coupled to the CHemical Analysis of aeRosols ONline particle inlet (CHARON–PTR-MS). The CHARON-measured OA mass accounted for 62+-18% on average of the total OA mass (4.2+-2.8 μgm-3) measured concurrently with an aerosol mass spectrometer (AMS). The total concentrations of measured VOCs ranged from 7.6 to 88.9 ppb with an average of 31.2+-13.4 ppb. Positive matrix factorization (PMF) was used to identify major source factors of VOCs and OA particles. Three types of oxygenated VOC (OVOC), namely aromatic OVOCs, biogenic OVOCs and aged OVOCs, contributed on average 11%+-9 %, 37%+-29% and 29%+-21% of total VOC concentrations, respectively. The results of AMS–PMF indicated substantial contributions of oxygenated organic compounds to OA particle mass. Three secondary OA (SOA) factors determined by CHARON–PMF analysis, namely aromatic SOA (5%7 %), daytime biogenic SOA (17%+-17 %) and nighttime biogenic SOA (28%+-21 %), consistently showed high contributions to the total CHARON-measured OA mass. Nighttime particle growth was observed regularly in this area, which was mainly attributed to the semi-volatile organic compounds and organic nitrates formed from the oxidation of monoterpenes and sesquiterpenes. This study presents the major sources, real-time transformations of VOCs and OA particles, and nighttime particle formation characteristics for central European forested areas.
Secondary organic aerosol and VOC in a forest
Sources of organic gases and aerosol particles and their roles in nighttime particle growth at a rural forested site in southwest Germany
Supplementary data for the publication: Mohr, S., Ehret, U., Kunz, M., Ludwig, P., Caldas-Alvarez, A., Daniell, J. E., Ehmele, F., Feldmann, H., Franca, M. J., Gattke, C., Hundhausen, M., Knippertz, P., Küpfer, K., Mühr, B., Pinto, J. G., Quinting, J., Schäfer, A. M., Scheibel, M., Seidel, F., and Wisotzky, C.: A multi-disciplinary analysis of the exceptional flood event of July 2021 in central Europe. Part 1: Event description and analysis, Nat. Hazards Earth Syst. Sci. Discuss. doi:10.5194/nhess-2022-137. 1) Inundation_Area_July2022_RiverAhr (Shape-Format) The dataset includes the inundation areas along the river Ahr, which were derived using available data (Sentinel-1, Sentinel-2) and pictures/video sequences from media and social media channels in near-real-time (within a few days after the flood). 2) BackwardTrajectories_baseonERA5_LAGRANTO (txt-Format) The dataset includes the pathway of air masses in the form of 10-day kinematic backward trajectories using the Lagrangian Analysis Tool (LAGRANTO; Sprenger and Wernli, 2015) based on ERA5 with different start dates. Further details can be found in the corresponding publication.
1) Inundation_Area_July2022_RiverAhr (Shape-Format) The dataset includes the inundation areas along the river Ahr, which were derived using available data (Sentinel-1, Sentinel-2) and pictures/video sequences from media and social media channels in near-real-time (within a few days after the flood). 2) BackwardTrajectories_baseonERA5_LAGRANTO (txt-Format) The dataset includes the pathway of air masses in the form of 10-day kinematic backward trajectories using the Lagrangian Analysis Tool (LAGRANTO; Sprenger and Wernli, 2015) based on ERA5 with different start dates and the following parameters: Reference date = start date time = hours before starting date lon = latitude in °E lat = latitude in °N p = pressure in hPa Q = moisture in g/kg T = temperature in K RH = relative humidity in % TH = potential temperature in K BLH = boundary layer height in m Further details can be found in the corresponding publication.
Data supplement for the publication: A multi-disciplinary analysis of the exceptional flood event of July 2021 in central Europe. Part 1: Event description and analysis
The dataset contains 2D reconstructions of the Ag catalyst obtained using $in$ $situ$ ptychography. The Ag catalyst specimens were mounted on MEMS-based and TEM chips and studied under reaction conditions. Ptychography was performed at the NanoMAX beamline of the MAX IV Laboratory in Lund, Sweden. The specimens were treated in various gas mixtures and heated up to 500 $^{\circ}$C under atmospheric pressures. The gas environments for each specimen and its treatment conditions have been elaborately discussed within the published manuscript. A detailed description of the datasets can also be found in the corresponding readme text.
The ptychography reconstructions were performed using the difference-map algorithm within the PtyPy framework. The uploaded .h5 file contains the data and all relevant information including experiment parameters implemented at the beamline. Further detailed data processing steps following these 2D ptychography reconstructions have been outlined in the supporting information of the associated publication.
2D reconstructions of Ag catalysts studied using in situ X-ray ptychography at the NanoMAX beamline, MAX IV
Overview of the folder structure: -------------------------------- - These folders contain the actual optical images we took and that are the basis of our image cross-correlation (nomenclature is as in the paper): Sample1 - Copper Sample2 - Gold grains Sample3 - Array 1 Sample4 - Array 1 coated Sample5 - Array 2 coated Computer generated data each of these folders contains two subfolders 'drift' and 'step' containing the data referring to the drift measurement and the step-function measurement depicted in Fig.5 of the paper. The folder 'Comuter generated data' additionally contains a folder 'supplementary figureS1 data', which contains the data for said figure. The specific parameters are mentioned in the folder name (see numbers behind 'sig_x' and 'amplitude') - These folders contain the matlab scripts needed to perform the image cross-correlation and create the computer generated data. Matlab scripts Digital Image Correlation - These folders contain .stl files of the printed marker arrays Fabrication
Atomic scale displacements detected by optical image cross-correlation analysis and 3D printed marker arrays
Survey on the role of repositories for archiving and providing research data at KIT
ZAK | Zentrum für Angewandte Kulturwissenschaft und Studium Generale
Umfrage zur Rolle von Repositorien zu Archivierung und Bereitstellung von Forschungsdaten am KIT
[ECLIPSE]_T1_CBn-amplification_Dataset containing electrochemical and photophysical characterization of CB7-Ru
openCARP is an open cardiac electrophysiology simulator for in-silico experiments.
Each sample contains the following files: "flat_document.png" (2200x1700x3, uint8, 0-255), showcasing a document in perfect condition. "flat_information_delta.png" displays all texts which represent invoice data (2200x1700x3, uint8, 0-255). "flat_template.png" is an empty invoice template (2200x1700x3, uint8, 0-255). "flat_text_mask.png" visually presents all texts shown in the given document (2200x1700x3, uint8, 0-255). "warped_angle.png" shows warping-induced x- and y-axis angle (1600x1600x2, float32, -Pi to Pi). "warped_albedo.png" is an albedo map (1600x1600x3, uint8, 0-255). "warped_BM.npz" stores backward mapping, i. e. the realtive pixel shift from warped to normalized image for each pixel shifts (1600x1600x2, float32, 0-1). "warped_curvature.npz" has pixel-wise curvature of the warped document (1600x1600x1, float32, 0-inf). "warped_depth.npz" holds per-pixel depth between camera and document (1600x1600x3, float32, 0-inf). "warped_document.png" displays the warped document (1600x1600x3, uint8, 0-255). "warped_normal.npz" contains warped document normals (1600x1600x3, float32, -inf to inf). "warped_recon.png" features a chess-textured warped document (1600x1600x3, uint8, 0-255). "warped_text_mask.npz" is a boolean text pixel mask (1600x1600x1, bool8, True/False). "warped_UV.npz" stores warped texture coordinates (1600x1600x3, float32, 0-1). "warped_WC.npz" includes document coordinates in the 3D space (1600x1600x3, float32, -inf to inf). For more details see https://github.com/FelixHertlein/inv3d-generator. Released under CC BY-NC-SA 4.0. Excluded files are listed in 'restricted-license-files.txt' (located in record with DOI 10.35097/1730, "Inv3D: a high-resolution 3D invoice dataset for template-driven Single-Image Document Unwarping - Metadata"). These are for academic use only.
Numerous business workflows involve printed forms, such as invoices or receipts, which are often manually digitalized to persistently search or store the data. As hardware scanners are costly and inflexible, smartphones are increasingly used for digitalization. Here, processing algorithms need to deal with prevailing environmental factors, such as shadows or crumples. Current state-of-the-art approaches learn supervised image dewarping models based on pairs of raw images and rectification meshes. The available results show promising predictive accuracies for dewarping, but generated errors still lead to sub-optimal information retrieval. In this paper, we explore the potential of improving dewarping models using additional, structured information in the form of invoice templates. We provide two core contributions: (1) a novel dataset, referred to as Inv3D, comprising synthetic and real-world high-resolution invoice images with structural templates, rectification meshes, and a multiplicity of per-pixel supervision signals and (2) a novel image dewarping algorithm, which extends the state-of-the-art approach GeoTr to leverage structural templates using attention. Our extensive evaluation includes an implementation of DewarpNet and shows that exploiting structured templates can improve the performance for image dewarping. We report superior performance for the proposed algorithm on our new benchmark for all metrics, including an improved local distortion of 26.1 %. We made our new dataset and all code publicly available at https://felixhertlein.github.io/inv3d.
Inv3D: a high-resolution 3D invoice dataset for template-guided single-image document unwarping - Meta data
This repository contains the datasets shown in the study 'High Homogeneous Freezing Onsets of Sulfuric Acid Aerosol at Cirrus Temperatures'. Where needed, detailed information on the data can be found in there.
Datasets to: High Homogeneous Freezing Onsets of Sulfuric Acid Aerosol at Cirrus Temperatures
Raw data that was collected for the use in the publication Enhancing the oxidative cleavage of vicinal diols on Fe-ZSM-5 catalysts with hierarchical porosity
Raw data for Enhancing the oxidative cleavage of vicinal diols on Fe-ZSM-5 catalysts with hierarchical porosity
This dataset contains FAIR records which describe the laboratory equipment, software, consumables, and tribological specimens utilized in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Laboratory Equipment, Software, Consumables, and Tribological Specimens for Tribological Experiments - Sapphire on Copper - FAIR Dataset
The repository contains a general description of borehole location and logging information, the raw data file in WellCAD-Format and a pdf of the logging data.
DAMAST-KIT-2: Geophysical Borehole Logging Data
Battery degradation is critical to the cost-effectiveness and usability of battery-powered products. Aging studies can help to better understand and model degradation and to optimize the operation strategy. Nevertheless, there are only a few comprehensive and freely available aging datasets for these applications. To our knowledge, the dataset presented in the following is one of the largest published to date. It contains over 3 billion data points from 228 commercial NMC/C+SiO lithium-ion cells aged for almost 600 days under a wide range of operating conditions. We investigate calendar and cyclic aging and also apply different driving cycles to some of the cells. This dataset is an update to the dataset previously published under the DOI 10.35097/1947 and described in the publication with the DOI 10.1038/s41597-024-03831-x. This dataset only includes log data. The result data is published under the DOI 10.35097/1969.
Version 1 of the dataset [1] is described in detail in [2] and Chapter 7.1 of [3]. The differences between version 1 and version 2 (this dataset) are described in the "Readme" file in [4]. [1] Luh, M., Blank, T. Comprehensive battery aging dataset: capacity and impedance fade measurements of a lithium-ion NMC/C-SiO cell [dataset]. RADAR4KIT, 2024, DOI 10.35097/1947 [2] Luh, M., Blank, T. Comprehensive battery aging dataset: capacity and impedance fade measurements of a lithium-ion NMC/C-SiO cell. Sci Data 11, 1004 (2024). https://doi.org/10.1038/s41597-024-03831-x [3] Luh, M.: Bidirectional Charging Systems and Battery Lifetime Modeling for Vehicle-to-Grid Applications, dissertation, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany, 2024, DOI: 10.5445/IR/1000174456 [4] Luh, M., Blank, T. Comprehensive battery aging dataset: capacity and impedance fade measurements of a lithium-ion NMC/C-SiO cell [dataset – version 2: result data]. RADAR4KIT, 2024, DOI 10.35097/1969
Comprehensive battery aging dataset: capacity and impedance fade measurements of a lithium-ion NMC/C-SiO cell [dataset – version 2: log data]
Raw data for operando XAS characterization The overview file "overview_data.pdf" provides information on which data was used in each figure and where the data can be found. In agreement with FAIR data principles, the XAS spectra of reference materials were additionally provided for upload in the RefXAS database (http://xafsdb.ddns.net/). More information on RefXAS can be found in the work of Paripsa and Gaur et al. (DOI: 10.1107/S1600577524006751) Complete raw dataset is published after embargo period (12/2026) at ESRF data portal under CC-BY-4.0 licence: https://doi.esrf.fr/10.15151/ESRF-ES-1357822885 Additional funding, to the below mentioned KIT-related funding, can be found in the acknowledgements of the publication and in the overview file. Additional affiliation for A. Nicolai, D. A. Montalvo Berltran, F. J. Summ and C. Kiener: Foundational Technologies, Research & Predevelopment, Advanced Manufacturing & Circularity Siemens AG Otto-Hahn-Ring 6 81739 Munich Germany
Monitoring the Fate of Zn in the Cu/ZnO/ZrO2 Catalyst During CO2-to-Methanol Synthesis at High Conversions by Operando Spectroscopy - Raw Data
Simulation code (Julia - programming language), NMR spectra and raw data (JCAMP-DX and Bruker format), Pulse shapes and Pulse programs (Bruker format).
The data sets comprise EinsMan (renewable feed-in management) data of the distribution system operators EDIS, Schleswig Holstein Netze, Bayernwerke and Avacon. These distribution system operators account for numerous feed-in management measures in the German power grid (for wind or solar generation). Due to the rise of the renewable energy share in the German electricity generation mix there is an increase in congestion in the German transmission and distribution grids. There are in general several measures in place to handle congestion. Often feed-in management (only renewable sources) is used, which raises several research questions. The data set provides a basis for their investigation. This data is part of a larger data set on congestion in the German electricity grids from 2015 to 2018. The related datasets are referenced below. The publication of this data set was supported by the German Research Foundation (DFG) as part of the Research Training Group GRK 2153: Energy Status Data - Informatics Methods for its Collection, Analysis and Exploitation.
The data is uploaded in separate zip-Files for each grid operator. The zip files contain daily .csv files which use the separator ",". Each file has the following columns: ID, Einsatz-ID, Start, Ende, Dauer(min), Gebiet, Ort Engpass, Stufe(%), Ursache, Anlagenschluessel, Anforderer, Netzbetreiber, Anlagen-ID and Entschädigungspflicht. Please be aware while using to change the encoding to "utf-8" or "ISO-8859-1" to not run into encoding issues while reading in the data. For all non-German speakers the column names are translated below: - Einsatz-ID : Action-ID - Start : start - Ende : end - Dauer (min) : duration (min) - Gebiet : area - Ort Engpass : location of congestion - Stufe(%) : Level(%) - Ursache : Reason - Anlagenschluessel : Installation key (specific description regarding german regulations) - Anforderer : requester - Netzbetreiber : grid operator - Anlagen-ID : installation ID - Entschädigungspflicht : liability for compensation
Renewable feed-in management data Germany 2015-2018
The dataset maps two different surfaces (domains) from mechanical engineering (Surfaces of Ball Screw Drives (BSD); Surface of Metallic Semi-finished Products (SEV)). The domains each contain image data with and image data without surface defects. The surfaces differ, but the defect features are similar across the domains. The dataset is thus suitable for investigating questions in the context of domain shift, domain generalization, and transfer learning. The dataset is structured as follows: BSD with defect (5240); BSD without defect (1896) SEV with defect (2018); SEV without defect (21806). Attention: The Domains are not balanced over classes. The SEV images are each 224x224 pixel RGB PNG files. THE BSD images are each 150x150 pixel RGB PNG files. The SEV data are excerpts from the Severstal dataset.
Domain-Shift-Dataset of Defects on Metallic Surfaces (MSD-Shift)
Umo_et_al_Table_1.csv is the data from Table 1: Sources, specific surface areas, pore volume,and the mediandiameter of coal fly ash aerosol particles used in this study. Umo_et_al_Table_2.csv is the data from Table 2: Information on the various ice nucleation experiments conductedduring two distinct AIDA measurement campaigns namedCAINIC01 and EXTRA18. Umo_et_al_Figure_7.csv is the data shown in Figure 7: Summary of the ice-activated fraction (%) of unprocessed and processed CFA_Cy, CFA_Mi, CFA_Ja, and CFA_Wh particles as a function of temperature. Umo_et_al_Figure_8.csv is the data shown in Figure 8: Comparison of the ice nucleation enhancement of CFA particles and other particles studied by Wagner et al. (2016).
Data from Figures and Tables from Umo et al. (2019), Atmos. Chem. Phys.
The repository includes comprehensive details on the scanning process of drill cores using DMT CoreScan3. It covers the scanning types, conditions, available file formats, and the labeling methods for core pieces. Additionally, we offer images of the core boxes, along with detailed photographs of individual core pieces captured by a camera after the structural analysis and labeling.
DAMAST-KIT-1: Drill Core Scans and Core Photos
Institut für Bio- und Lebensmitteltechnik
Double emulsions arouse great interest in various industries due to their ability to encapsulate value-adding ingredients. However, they tend to be unstable due to their complex structure. Several measurement techniques have already been developed to study and monitor the stability of double emulsions. Especially for the measurement of the filling degree of double emulsions, there is no reliable measuring method available so far. In this paper, a measurement system is presented that can measure the filling degree of W/O/W – double emulsions both spectrometrically and pho-tometrically. It is based on the Raman effect, does not require any sample preparation and the measurement has no negative influence on the double emulsion. It is shown that both spectrometric and photometric Raman techniques can reliably distinguish between double emulsions with filling degrees of 0,5 % difference. Additionally, oil droplet sizes can be measured photometrically. Furthermore, the measurement system can be integrated into emulsification processes both in- and online.
There are four different files: 1. "Droplet size distribution" This file contains the data of the droplet size distribution measurements of the inner emulsions as well as Fig. 3 2. "Fig. 2" This file contains the data of the spectra of the individual double emulsion phases as well as the diagram shown in Fig. 2 3. "Photometric_evaluation" This file contains all photometric data. Tab "Diagram Filling degree" --> Fig. 6 Tab " Diagram Droplet size" --> Fig. 7 Tab " Diagram Droplet size distribution" --> Fig. 8 Tab " Summary" Summary of all experiments/measured filling degrees Tab "0% ... 40%" evaluated data of all photometric measurements 4. "Spectrometric_evaluation" Tab "Rohdatenpython": A phython programm imports the spectroscopic data from txt.files to excel (simple copy&paste) Tab "Rohdaten": Data are copied from Rohdatenphyton to this tab. Negative wavenumbers (-88 till -1) are deleted Tab "Evaluation": Baseline correction of each measurement and calculation of the filling degrees Tab "Diagram_Spektren": Fig. 4 Tab "Diagram_Linearität": Fig. 5
Research data to the article "Measurement of the filling degree and droplet size of individual double emulsion droplets using Raman technologies"
The interplay of electronic correlations, multi-orbital excitations, and strong spin-orbit coupling is a fertile ground for new states of matter in quantum materials. Here, we report on a confocal Raman scattering study of momentum-resolved charge dynamics from a thin film of semimetallic perovskite $\mathbf{SrIrO_3}$. We demonstrate that the charge dynamics, characterized by a broad continuum, is well described in terms of the marginal Fermi liquid phenomenology. In addition, over a wide temperature regime, the inverse scattering time is for all momenta close to the Planckian limit $\mathbf{\tau^{-1}_{\hbar}=k_{\rm B} T/\hbar}$. Thus, $\mathbf{SrIrO_3}$ is a semimetallic multi-band system that is as correlated as, for example, the cuprate superconductors. The usual challenge to resolve the charge dynamics in multi-band systems with very different mobilities is circumvented by taking advantage of the momentum space selectivity of polarized electronic Raman scattering. The Raman responses of both hole- and electron-pockets display an electronic continuum extending far beyond 1000\icm ($\sim$125 meV), much larger than allowed by the phase space for creating particle-hole pairs in a regular Fermi liquid. Analyzing this response in the framework of a memory function formalism, we are able to extract the frequency dependent scattering rate and mass enhancement factor of both types of charge carriers, which in turn allows us to determine the carrier-dependent mobilities and electrical resistivities. The results are well consistent with transport measurement and demonstrate the potential of this approach to investigate the charge dynamics in multi-band systems.
Excel file containing all the data of the manuscript (Fig. 2 to 5)
Das Modell ermöglicht die Simulation des tangential-schlagenden Anziehprozesses mit dem Schlagschrauber. Zur Erzeugung von anwendungsnahen Ergebnissen ist eine Parametrierung auf den gegebenen Anwendungsfall erforderlich.
Simulationsmodell des tangential-schlagenden Anziehprozesses von Schraubenverbindungen
DAMAST-KIT-Spartak: Geophysical Borehole Logging Data
DAMAST-KIT-N1: Geophysical Borehole Logging Data
DAMAST-KIT-2: Drill Core Scans and Core Photos
DAMAST-KIT-4: Drill Core Scans and Core Photos
Research raw data to publication: XPS, IRRAS, Periodic DFT calculations, Embedded cluster calculations.
Raw data available for experimental results (XPS, polarization-resolved IRRAS) and theoretical calculations (periodic DFT and embedded cluster calculations).
Forschungsdaten zur Publikation: XPS, IRRAS, "Periodic DFT calculations", "Embedded cluster calculations".
Research data to "Adsorption of CO on α-Al2O3(0001): A combined experimental and computational study"
This dataset contains raw data and processing results as supplement to Kufner et al, submitted 2022 to GRL: The devastating 2022 M6.2 Afghanistan earthquake: challenges, processes and implications
Data can be used for InSAR processing or for seismological source inversion. Furthermore, 'results' data can be used for post-processing and the creation of plots and maps.
Supplement data for Kufner et al. (submitted 2022): The devastating 2022 M6.2 Afghanistan earthquake: challenges, processes and implications
Data sets used for plotting graphs in the figures and COMSOL files for the manuscript of "Integrated shimming enables independently parallel NMR detection"
Integrated shimming enables independently parallel NMR detection
DAMAST-KIT-1: Geophysical Borehole Logging Data
[1] Maximilian Schambach, Jiayang Shi, and Michael Heizmann: "Spectral Reconstruction and Disparity from Spatio-Spectrally Coded Light Fields via Multi-Task Deep Learning" International Conference on 3D vision (3DV), 2021
A multispectral light field dataset of three real-world highly textured scenes.
The dataset "DATA.zip" contains the decoded, white-balanced, and de-vignetted multispectral light fields. You can directly use these calibrated light fields in your research. If you do so, please cite our corresponding paper [1]. For further details, please see the provided README.txt.
A highly textured multispectral light field dataset
This archive contains data presented in the manuscript “Interaction of microphysics and dynamics in a warm conveyor belt simulated with the ICON model”. # Article: - Authors: Annika Oertel, Annette K Miltenberger, Christian M Grams , and Corinna Hoose - Title: Interaction of microphysics and dynamics in a warm conveyor belt simulated with the ICON model. - Journal: Atmospheric Chemistry and Physics - Publication Year: 2023 - Doi: https://doi.org/10.5194/egusphere-2023-259 This data set contains (i) cold front-relative vertical cross-section composites across the WCB cloud and (ii) online WCB trajectory data centered relative to the start of fastest embedded 600 hPa ascent phase from a high-resolution nested ICON simulation. For details on the ICON simulation, trajectory data and composites, please refer to the publication. # Data description: The data are in netCDF format and contain the following: - Cold front-relative vertical cross-section composites (front_rel_composites.nc) The cold front-relative vertical cross-section composites show characteristics of the WCB cloud band and are centered at the Western edge of the WCB cloud band at relative longitude rlon=0. The dataset contains standard meteorological variables, as well as diabatic heating ("dh_") and potential vorticity ("pvt_") rates from individual microphysical processes as well as from radiation, turbulence, convection and non-orographic and orographic gravity wave drag. Individual processes are described in detail in the publication. - Trajectory data are contained in the following datasets: - wcb_trajs_basic.nc (includes standard meteorological variables) - wcb_trajs_adh.nc (includes ascent-integrated diabatic heating rates (ADH) from various non-conservative processes) - wcb_trajs_apv.nc (includes ascent-integrated potential vorticity rates (APV) from various non-conservative processes)
This archive contains research data presented in the manuscript “Interaction of microphysics and dynamics in a warm conveyor belt simulated with the ICON model”.
Research data for "Interaction of microphysics and dynamics in a warm conveyor belt simulated with the ICON model"
The data comprise four tables containing low-temperature infrared extinction spectra, temperature- and composition-dependent ice nucleation onsets, and ice nucleation active surface site densities of crystalline AN/AS particles. The tables are provided in ".txt" format and can be opened in standard text editors or imported in spreadsheet programs like Microsoft Excel. Each table contains a comprehensive header describing the contents of the individual columns. The data are separated by tabs as a delimiter.
Data sets for the research article "Solid ammonium nitrate aerosols as efficient ice nucleating particles at cirrus temperatures" by Wagner et al. (2020) in the Journal of Geophysical Research (Atmospheres)
SBUV ozone measurements for O3as service (v1: zonal means and monthly means of total columns)
openCARP is an open cardiac simulator for in-silico experiments
GIA#1: Geophysical Borehole Logging Data
GIA#2: Geophysical Borehole Logging Data
Institut für Angewandte Physik, Institut für Nanotechnologie, 3D Matter Made to Order
### General Information This repository contains additional research data contributing to the doctoral thesis "On topological mechanics of 3D chiral metamaterials" by J. Köpfler. Further data of related publications (DOIs: 10.1002/adma.202103205 and 10.1103/PhysRevApplied.11.034059) can be found in the corresponding repository (DOI: 10.5445/IR/1000135066). ### Folder structure: The data in each folder is sorted in subfolders corresponding to the chapters of the doctoral thesis #### Fabrication - contains the 3D printing files for the microstructure casts (double-sided support mirror structure) and a file that was used to design the 3D microcast #### Calculations - contains the files for the Matlab scripts and COMSOL files for the FEM-calculations #### Experiments - contains the image series that was acquired for the evaluation of the resonance of the double-sided support mirror structure - contains the scripts to extract displacement data and generate the resonance plots etc. ### Experimental data treatment: Image cross-correlation was performed using the "grid\_generator\_" functions on the digital images, followed by the "automate\_images\_" functions. The resulting datasets "validx.dat" and "validy.dat" for the tracked x- and y-displacements are loaded, processed, collected, and plotted via the specific "combine\_parts\_" functions in the individual measurement folders.
Contributing research data to the doctoral thesis "On Topological Mechanics of 3D Chiral Metamaterials"
Simulation results tagged f05135 (see Appendix A in 10.5445/IR/1000084466) generated using Inovesa (10.5281/zenodo.1243264). The data is usable utilizeing e.g. the scripts provided at https://github.com/Inovesa/examples.
- The .csv files contain experimental data obtained from ATPF experiments at laboratory scale. - The flotation tank used contains 700 ml of the aqueous two-phase system (ATPS). The phase forming components were polyethylene glycol 1000 and trisodium citrate dihydrate. - Phospholipase A2 was used as the model enzyme and the model suspension was mixed with the bottom phase. - The flotation tank was conceptually divided into three compartments, each compartment containing a gassing unit and an electrical conductivity probe. The electrical conductivity probes were inserted 1 cm below the phase interface. - An UV/Vis spectrometer with flow cell was implemented at the top phase outlet to obtain the top phase concentration in real-time. The bottom phase concentration was calculated via a mass balance equation. - The file names contain the process parameters in the following order: feed concentration_gas flow rate combination (Vd_1-Vd_2-Vd_3, see also below)_residence time_volume ratio (top to bottom phase)_experiment number. - The .csv files contain the following experimental data: - t: time in min - R_top, R_bot: top and bottom phase recirculation (R = 1 for full recirculation, R = 0 for no recirculation) - c_bot_3, c_top_3: enzyme concentration obtained from UV/Vis measurements in % (w/w). - kappa_bot_1, kappa_bot_2, kappa_bot_3: Electrical conductivity measurements in all three compartments in mS/cm. - Qd_bot, Qd_top: Volume flows of top and bottom phase in ml/min. - Vd_1, Vd_2, Vd_3: Gas volume flows of the three gassing units in ml/min.
Online measurement data of continuous aqueous two-phase flotation (ATPF) for enzyme purification
Institut für Angewandte Biowissenschaften
The results are combined in three zip files, named according to the recipe. Within each zip file, samples are named according to the following procedure: Recipe (BC for basic cake, PC for pound cake or B for brioche); Product (c for cake, alias baked product and d for dough/batter); Treatment (Blank for untreated sample, A-O for lipase or QC for quality control); Replicate (a-c for triplicate and s for spiked sample a). e.g. sample BCdE_b is a batter sample of basic cake treated with lipase E
Lipases are promising improvers of cake batter and baking properties. Their suitability for use in various cake formulations cannot be predicted yet, because the reactions that lead to macroscopic effects need to be unravelled. Therefore, the lipidome of three different cake recipes with and without lipase treatment was assessed by ultra high performance liquid chromatography-mass spectrometry before and after baking. By comparing the reaction patterns of seven different lipases in the recipes with known effects on texture, we show that lipase substrate specificity impacts baking quality. Key reactions for the recipes were identified with the help of principal component analysis. In the eggless basic cake, glyceroglycolipids are causal for baking improvement. In pound cake, lysoglycerophospholipids were linked to textural effects. Lipase substrate specificity was shown to be dependent on the recipe. Further research is needed to understand how recipes can be adjusted to achieve optimal lipase substrate specificity for desirable batter and baking properties.
Effect of baking lipases on the lipidome of cake
### General Information This repository contains research data contributing to the Advanced Materials publication "Fused-silica 3D chiral metamaterials via helium-assisted micro-casting supporting topologically protected twist edge resonances with high mechanical quality factors" by J. Köpfler, T. Frenzel, J. Schmalian, and M. Wegener. ### Folder structure: #### Fabrication - contains the 3D printing files for the microstructure casts and a file that was used to design the 3D microcast - contains the digital microscope images and the data table that was used to determine the geometrical dimensions of the fused-silica microstructures #### Calculations - contains the files for the FEM-calculations of the band structure, eigenmodes and resonances of the microstructure with the determined geometrical dimensions - contains files for comparison of the calculated band structure with the measured resonance data #### Experiments - contains the image series that were acquired during the frequency sweeps to determine the resonances of the polymer forks, fused-silica tuning forks, the fused silica 3D chiral microstructure, and the excitation of the piezo actuator at the microstructure bottom plate - contains the scripts to extract displacement data and generate the resonance plots etc. ### Experimental data treatment: Image cross-correlation was performed using the "grid\_generator\_" functions on the digital images, followed by the "automate\_images\_" functions. The resulting datasets "validx.dat" and "validy.dat" for the tracked x- and y-displacements are loaded, processed, collected, and plotted via the specific "combine\_parts\_" functions in the individual measurement folders. Details can be found in the "paper_contribution.txt" files in the individual folders.
Contributing research data to: Fused-silica 3D chiral metamaterials via helium-assisted micro-casting supporting topologically protected twist edge resonances with high mechanical quality factors
These are the postprocessed ICON simulation outputs for following the article: Barrett, A. I., & Hoose, C. (2023). Microphysical Pathways Active within Thunderstorms and Their Sensitivity to CCN Concentration and Wind Shear. Journal of Geophysical Research: Atmospheres, 128, e2022JD036965. https://doi.org/10.1029/2022JD036965 All files are (compressed) netcdf files. "default" contains output obtained with the standard model configuration, "Ecoll0p5" with E_coll=0.5 and "Ecoll1p0" with E_coll=1.0. ccn6 is the lowest CCN concentration, ccn9 the highest. ws18 means wind shear of 18 m/s, and analogously for other wind shears. The time-invariant vertical grid is supplied as well.
Research data for ”Microphysical Pathways Active within Thunderstorms and Their Sensitivity to CCN Concentration and Wind Shear”
Students from KIT and Université Grenoble Alpes
Field seismic data (in su format) and the corresponding reports on it. 1. 'CloseMesh.su' is the data acquired on a fine-mesh acquisition geometry during different days. 2. 'LargeMesh.su' is the data acquired on a large-mesh acquisition geometry on a same day. 3. 'report_header_information.pdf' describes the header information of the su files. 4. 'Report_Rheinstetten KIT.pdf' is a report on the field measurement.
3D shallow-seismic data acquired at Rheinstetten
Flow field in drying poly(vinyl acetate) methanol film partially covered and subject to Marangoni convection
Data from PICNIC campaign taking place from 2018-03-25 - 2018-10-25 at Puy de Dôme. This dataset represents the INP concentration measured by the PINE instrument. The time is UTC+2. Parts of this dataset have already been published in a previous publication titled "The Puy de Dôme ICe Nucleation Intercomparison Campaign (PICNIC): comparison between online and offline methods in ambient air" by Lacher et al. under https://dx.doi.org/10.35097/1876.
Data from SPL01 campaign taking place from 2021-10-12 - 2022-07-12 at Storm Peak Laboratory. This dataset represents the processed data (Level 1) as created by the PIA software 2022.
Institut für Technische Chemie und Polymerchemie (ITCP), Karlsruher Institut für Technologie (KIT), Institut für Katalyseforschung und -technologie (IKFT), Karlsruher Institut für Technologie (KIT)
Karlsruhe Nano Micro Facility (KNMF), Karlsruher Institut für Technologie (KIT)
A PDF with information about sample labeling is added to the data
Raw data: Synergy of Ag and Pd in bimetallic catalysts for the selective oxidation of 5-(hydroxymethyl)furfural
This repository contains the data of the paper.
Modification of Al surface via acidic treatment and its impact on plating and stripping
Die Forschungsdaten entstanden in enger Kooperation mit der Professur für Werkstoffprozesstechnik (zweite Arbeitsgruppe des korrespondierenden Autors) an der Technischen Fakultät der Universität Freiburg sowie mit der Otto-von-Guericke Universität Magdeburg (Prof. Dr. Matthias Wappler).
In diesem Datensatz werden die verschiedenen Syntheseverfahren für Barium-Strontium-Titanate und die resultierenden Eigenschaften verglichen.
This dataset compares the two different synthesis methods for barium strontium titanate and the resulting properties.
Barium strontium titanate (BST) – Synthesis, Characterization and Electrophoretic Deposition
3D printing technologies have matured to produce complex structures, still they are often limited to static materials. Introducing alkoxyamine bonds into 3D printed structures offers unprecedented possibilities for post-synthetic modification through nitroxide exchange reaction (NER) and nitroxide-mediated polymerization (NMP). This study provides a comprehensive molecular and macroscopic characterization of 3D printed alkoxyamine-containing dynamic covalent adaptable networks (CANs). Our study provides new insights into their dynamic structural and mechanical alterations, making them promising candidates for advanced applications ranging from biomedical engineering to flexible electronics.
This dataset encompasses the raw data underpinning the measurements presented in our manuscript. Specifically, Figures 2b, 3a, S1a, and S1c were derived from text-based raw data obtained via EPR measurements. The raw data for Figure 3d, which involved IR measurements, are provided both in text format and as Opus files. For Figure 4a, which is based on ISEC measurements, the dataset includes information on the elution volume and molecular weight of polystyrene standards. This data was processed using the PSS Porocheck software, and the resultant plots are also available in an Excel file for further analysis. Figures 6a, 6b, and 6c, which involve DMA measurements, have their raw data stored in an Excel format. Likewise, the raw data for Figure 6d, derived from DSC measurements, are also cataloged in Excel files. Additionally, each set of measurement data is accompanied by OriginLab files, which were utilized for figure generation and are available for review. This comprehensive documentation and the use of common file formats like Excel and Opus ensure that our dataset is accessible and reusable for future research endeavors.
Investigating Dynamic Changes in 3D-Printed Covalent Adaptable Polymer Networks
We present high resolution measurements of ammonium (and other pollution trace gases) in the South Atlantic Upper Troposphere and Lowermost Stratosphere (UTLS) from the Gimballed Limb Observer for Radiance Imaging of the Atmosphere (GLORIA) during the StratoClim campaign with basis in Kathmandu, Nepal, on board the high altitude research aircraft Geophysica, 2017, and during the SouthTRAC (Transport and Composition in the Southern Hemisphere Upper Troposphere/Lower Stratosphere) campaign with bases in Oberpfaffenhofen, Germany, and Rio Grande, Argentina, on board the German High Altitude and Long range research Aircraft (HALO), 2019.
Data for: Ammonia in the UTLS: GLORIA airborne measurements for CAMS model evaluation in the Asian Monsoon and in biomass burning plumes above the South Atlantic
The dataset contains electrical consumption data from a three months living lab experiment in the Energy Smart Home Lab (ESHL) at Karlsruhe Institute of Technology. During the experiment two tenants lived their daily life in the ESHL, a smart home consisting of a 60m² living area and a 20m² technical room. The dataset contains the electrical consumption data for every device and socket in the living area as well as the technical room. There is one set for the average electricity demand per 15min for all devices in the living room, one set for the average demand per 15min for all devices in the technical room, one set for the maximum demand per 15min for the devices in the living room and one set for the maximum demand per 15min for the devices in the technical room. Due to technical difficulties the recording for the devices in the technical room started two weeks after the recording of the living area. There are also some shorter gaps in the data due to power outages. In addition to the electrical consumption data, a timeseries for the outdoor temperature with a temporal resolution of 15min is included in the dataset.
Electrical consumption data from a three months living lab experiment in the Energy Smart Home Lab
# In-Process Porosity Detection Dataset by Means of Structure-Borne Acoustic Emission Measurement Technology in PBF-LB/M by wbk Institute of Production Science and ZEISS Please see provided Jupyter Notebook "README" for further information. This dataset is part 1 of 2.
In Process Porosity Detection Dataset by Means of Structure-Borne Acoustic Emission Measurement Technology in PBF-LB/M by wbk Institute of Production Science and ZEISS - Part 1
This package provides the results of the Mixed-Integer Linear Programm simulations used in the evaluation section of the paper "Solar Farm Cable Layout Optimization as a Graph Problem".
Solar Farm Cable Layout Optimization as a Graph Problem (MILP results)
The data set consists of five types. 1) In table AnthroDemoMaxForcesTable.mat the anthropometric data, the gender and the maximum grip and push forces of the subjects are listed. 2) In Matrix resultsMatrix.mat the mechanical impedance and the phase angle of the measurements of the subjects study are summarized. The resulting mechanical impedance and the phase angle are already calibrated in each direction, and can be used directly from the matrix. The matrix consists of three dimensions, the first is the mechanical impedance and the phase angle in the direction of excitation (zh), the second dimension is the cross-axial mechanical impedance and the phase angle in xh-direction, and the third dimension is the cross-axial mechanical impedance and the phase angle in yh-direction. The directions are named according to the coordinate system of DIN 5349:2001. Each row of the matrix represents one measurement. The following data information and results are in the corresponding columns: - 1: number of the subect - 2: is 0 if the grip and push forces during the measurements are within the range of 5N and 14%, otherwise a 1 is at this position. This can be used for data exclusion. - 3: predefined push force value - 4: predefined grip force value - 5: experiment number according to the resultsMatrix for each subject - 6: sequence of the taken measurements of each subject, due to a randomized test plan - 7: mean measured grip force - 8: median measured grip force - 9: standard deviation of the measured grip force - 10: mean measured push force - 11: median measured push force - 12: standard deviation of the measured push force - 13: mechanical impedance at 10 Hz - 14: phase angle at 10 Hz - 15: mechanical impedance at 15 Hz - 16: phase angle at 15 Hz - 13:2:209 mechanical impedance between 10-500 Hz in 5 Hz steps - 14:2:210 phase angle of the mechanical impedance between 10-500 Hz in 5 Hz steps 3) The VPAmatrix.mat is according to resultsMatrix.mat, instead of the mechanical impedance in positions 13:2:209 the vibration power absorption values are listed and in positions 14:2:210 the weighted vibration power absorption according to ISO10068:2012 is listed. Here, only the direction of excitation is evaluated. 4) Raw data, the data name consists of the time stamp and is named afterwards in the same order as the matrix: Px, where x is the number of the subject, followed by the push and then the grip force and the position in the matrix. In each struct the metadata, the time and the signals are saved. The excitation in the subject study was applied along the forearm axis (zh according to DIN5349:2001). Therefore, the signals az_top and az_bottom are the acceleration at the top and bottom of the measuring handle in excitation direction. The signals Fz_top and Fz_bottom are the forces in the direction of excitation, both are used to calculate the mechanical impedance and vibration power absorption in the excitation direction (dimension 1 in the resultsMatrix.mat file). The signals used for the second dimension of the resultsMatrix are Fx_top, Fx_bottom, az_top, az_bottom, for the third dimension Fy_top, Fy_bottom, az_top, az_bottom are used. 5) emptyMeasurement.mat is a measurement of the unloaded handle while excited with the same signal as in the subject study. This file can be used for the calibration of the handle.
The data set contains the raw as well as the evaluated data from a subject study with 6 subjects to measure the mechanical impedance and the vibration power absorbtion while varying the grip and push forces in ten levels between 10-135N and 10-110N respectively. The measuring handle on which the study was conducted complies with the specifications in ISO10068:2012. The subjects were randomised to hold the force levels while vibrations were applied translatory along the lower arm axis (zh-axis according to DIN5349:2001) to their hand-arm system via a shaker system, with the posture of the subjects lying within the ranges specified in ISO 10819:2022. The excitation was a multisine with frequencies between 10 to 500 Hz in 5 Hz steps with an root mean square value of 40m/s². The acquisition time of each measurement is 16.5 sec, for the evaluation the data is cutted to exclude the first 4 sec and the last 1.5 sec.
Measurements of the Mechanical Impedance and Vibration Power Absorption for Varying Grip and Push Forces
Recently, a new generation of high strength steels was introduced by using a lateral chemical pattern of an austenite stabilizer before quenching from partially homogenized austenite to succeed with fine-scaled microstructures of austenite and martensite. A pearlitic microstructure of ternary Fe-Mn-C is a suitable initial state for this when Mn effectively partitions into the cementite. The Matlab script published here provides an implementation of theoretical considerations on partitioning, negligible-partitioning as well as activity-based local equilibrium conditions based on thermodynamic data. With respect to the description of the physical fundamentals of this code incl. the relevant liteature sources, the users should consult the manuscripts linked to this dataset.
The software dataset contains the following parts: (1) code.m is the Matlab script tested under Matlab R2022a (2) The required data to run the script are alpha_gamma_600C.dat gamma_theta_600C.dat alpha_theta_600C.dat activity_600C.dat These files contain tie line data for the temperature under consideration, 600 °C in the example. Three different two-phase equilibria are required, each between alpha-(Fe,Mn,C), gamma-(Fe,Mn,C) and theta-(Fe,Mn)3C. The file “activity_600C.dat” contains grid data on the activity within gamma-(Fe,Mn,C). The data might be replaced by output from thermodynamic software. The read in is optimized for output files from Pandat.
Matlab code to "Assessment of the compositional requirements to form Fe-Mn-C austenite-martensite composites"
The ptychography reconstructions were performed using the ePIE algorithm of the Ptycho software implemented at the P06 beamline of PETRA III, DESY. Further detailed data processing steps following the 2D reconstructions have been outlined in the manuscript and the .txt file uploaded.
The dataset contains 2D reconstructions of the Ag catalyst obtained using $in$ $situ$ ptychography. The Ag catalyst specimens were mounted on MEMS-based and TEM chips and studied under reaction conditions. The ptychography was performed at the P06 beamline of PETRA III in DESY, Hamburg, Germany. The specimens were treated in air or inert (He) conditions and heated up to 650 $^{\circ}$C under atmospheric pressures. A detailed description of the dataset can be found in the corresponding readme file and its associated manuscript publication.
2D reconstructions of Ag catalysts studied using in situ X-ray ptychography at P06 beamline, PETRA III, DESY
Forest Tree Species Segmentation in very-high resolution UAV-based orthomosaics
Leipzig University, Remote Sensing Centre for Earth System Research
University of Freiburg, Chair of Forest Growth and Dendroecology
Karlsruhe Institute of Technology, Institute of Geography and Geoecology
This dataset contains UAV-based RGB-orthomosaics and corresponding tree species masks over temperate forests in the Southern Black Forest in Germany.
Overview of the folder structure: --------------------------------- The folder here correspond to the section in the Communications Materials paper "Large characteristic lengths in 3D chiral elastic metamaterials" by Tobias Frenzel, Vincent Hahn, Patrick Ziemke, et. al. - 3. Microstructure Calculations Contains both beam theory and finite volume element calculations of the microstructure. - Results Beam Thoery contians the tabulated results obtaint by the abaques files as .dat and .txt files as well as the abaqus files used to calculate the data in the paper, the data stored here is displayed in Fig. 3, Fig. 5, Fig. S1, Fig. S3. - Results Volume Elements contians the tabulated results obtaint by the comsol files as .dat and .txt files as well as the comsol files used to calaculate the data. in the paper, the data stored here is displayed in Fig. 5, Fig. S1, Fig. S3. - 4. Micropolar Continuum Elasticity Contains the Comsol files with the micropolar continuum implementation - Relsuts Micropolar Elasticity contians the tabulated results obtaint by the comsol files as .dat and .txt files as well as the corresponding comsol file - 5. Experiments Contains all the picture obtained during measurement for the different samples - Multifoucs setup in the subfolder, the data for varius scaling Factors N are included. Every subfolder also contains the text data "rotation_angle.txt" with the extracted rotation angles - Nanoscribe setup same es in the previous folder, but for different samples - Fabrication contains all files nessecary to print the structures using the direct laser writing setups Treatment of the experimental data ---------------------------------- - a grid was created with the regions of intrest that should be tracked for evaluation using "grid_generator.m" - a filelist including all picture names was created using "filelist_generator.m" - the image cross-correlation was performed using "automate_image2" - using the matlab scriped "evaluation_roation.m" or "evaluation_rotation_Graphics.m" that is included in every folder "N_1", "N_c", etc. the rotation angle was evaluated and written to a text file "rotation_angle.txt" in the same folder.
Large characteristic lengths in 3D chiral elastic metamaterials
Data included consists of .csv files of the kMC results. The data can be viewed in Excell, and is labeled based on its corresponding Figure.
Insights on SEI Growth and Properties in Na-Ion Batteries via Physically Driven Kinetic Monte Carlo Model
There are two ways to reproduce the graph generation experiments: 1. Unpack the archive hyperbolic-scripts.zip, run the python script download-install.py, followed by the script experiment-plot.py. Install any missing dependencies, rerun if necessary. 2. Use "docker load hyperbolic-image.tar" to load the image and "docker run hyperbolic-reproducibility" to run it. After the experiments are completed, use docker save -o filesystem.tar. to save the filesystem of the docker image to a tarball, inspect the compiled plots in /app. Running all the experiments might take ~100 hours, 256 GiB of memory and 16 cores. The same methods apply to reproduce the experiments to partition protein graphs, with the script archive protein-scripts.zip and the docker image protein-image.tar. These experiments take about 3 hours and 4 GiB of memory. The experimental logs of the partitioning with balanced k-means are found in the archive Geographer-comparison-log-files.tar.gz.
The corresponding dissertation contains several types of experiments. The graph generation experiments were conducted on a shared-memory machine with 16 cores. To reproduce these experiments, this package contains a docker image. For the experiments regarding large-scale graph partitioning, we used phase 1 of the SuperMUC cluster, including tens of thousands of cores. For this set of experiments, we do not include a script to reproduce it, as the original computing environment is no longer available and the experimental pipeline depends on details of the system setup, making an automated reproduction difficult. Instead, we offer the output logs and summarized data of our experiments.
Digital Artefacts and Appendix for the Dissertation of Moritz v. Looz
Institut für Angewandte und Numerische Mathematik, Sonderforschungsbereich 1173
This code has been used for the numerical experiments in the thesis "High-frequency wave-propagation: error analysis for analytical and numerical approximations" by Julian Baumstark, see https://www.doi.org/10.5445/IR/1000149719.
The scripts are intended to reproduce the figures from the thesis "High-frequency wave-propagation: error analysis for analytical and numerical approximations" by Julian Baumstark ################################################################################ #### Requirements The codes are tested on Ubuntu 18.04 LTS with Matlab R2020a ################################################################################ #### Generation of figures With this code Figures 3.1, 3.2, 4.1, 4.2, 4.3, 5.1, and 5.2 can be generated. The calculation of the data for Figure 4.1, 4.2, 4.3, 5.1 and 5.2 takes a few days and requires a storage space of about 140 GB. #### Figure 3.1 and 3.2 In order to obtain Figure 3.X (X=1 or 2) run the command visualize_Fig3X.m in Matlab. #### Figure 4.1, 4.2 and 4.3 Open folder "Chapter_4" in Matlab. In order to obtain Figure 4.X (X=1 or 2 or 3) first run the command kleingordon_analytical_approx.m to compute the data. Then, run visualize_Fig4X.m in Matlab. #### Figure 5.1 and 5.2 Open folder "Chapter_5" in Matlab. In order to obtain Figure 5.X (X=1 or 2) first run the command kleingordon_numerical_approx.m to compute the data. Then, run visualize_Fig5X.m in Matlab.
Numerical experiments to "High-frequency wave-propagation: error analysis for analytical and numerical approximations"
In deep geological repositories for nuclear waste, iron container-bentonite interactions may impact the long-term performance of engineered clay barrier. Anaerobic canister corrosion, leads to Fe(II) release. Reactions of Fe(II) with bentonite, may modify its properties over time. Accurate performance predictions for high-level radioactive waste (HLW) storage systems require detailed insights into these interactions under relevant thermal conditions. This study explores the secondary phase formation during the reaction of iron powder with GMZ bentonite, MX-80 bentonite, or KGa-2 kaolinite under anoxic conditions. Two series of batch experiments are presented: a continuous high-temperature experiment with mixed bentonite iron suspensions stored at 90°C for up to seven months, and a high-plus-low temperature experiment, with mixed iron clay suspensions stored for four months at 90°C and five months at ambient temperature. In the presented experiments, montmorillonite - the main component of bentonite - undergoes complete delamination within one week. Iron is taken up by the clay matrix, reaching Fe-contents of ~ 30 atom %, which then remain constant. We suggest that the Fe uptake is driven by the formation of Fe(II/III) containing hydroxide sheets near/at delaminated montmorillonite sheets, inducing the formation of a serpentine like 1:1 phyllosilicate. Crystalline iron oxides (i.e. magnetite) form only at later stages, suggesting the kinetic preference of silicate-bound iron retention. At ambient temperature, the crystallinity of the Fe-phyllosilicate improves. All clay educts, bentonites as well as kaolinite are transformed into chemically and structurally similar phyllosilicates, emphasizing the relative stability and preferential formation of the resulting serpentine phases. In this data publication we publish the spectroscopic and diffraction data as well as geochemical modelling files, which are explained in detail in the associated manuscript.
In this data publication we publish the spectroscopic and diffraction data as well as geochemical modelling files, which are explained in detail in the associated manuscript with the same title, authors and publication year.
Iron Induced Alteration of Bentonite to Serpentine Minerals at 90°C
- thesis.zip: only the data - thesis-docker.tar.xz: data and software as exported Docker container - thesis.sif.xz: data and software as Apptainer container - Thesis_Daniel_Hauck.pdf: digital version of the thesis - donut.gif: animation referenced in chapter 2
Software used in the referenced thesis. For more details, see the README.md file included in all formats.
To use Docker container: docker load thesis-docker.tar.xz To use Apptainer container: xz -d thesis.sif.xz; apptainer run --no-home -w thesis.sif
Data for Thesis: Magnetic 2π Domain Walls for Tunable Majorana Devices
X-ray tomographic data of a fossil Archaeopteryx (SMNK-PAL 10,000a-c (Karlsruhe specimen)) described in Foth et al. 2024. The archive contains scans of 1) right arm, 2) right hindlimb, 3) fragments of left humerus, 4) fragments of left radius & ulna, and 5) left hindlimb. To facilitate data handling, the original tomograms were converted to eight bits and cropped to the regions of interest.
X-ray, tomography, CT, fossil, Archaeopteryx, Urvogel, Jurassic
Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology, Karlsruhe, Germany
- mie_x1.csv and mie_x2.csv are outputs from Mie calculation for size parameter<0.5 and size parameter>0.5, respectively. In both files, the columns are aerosol optical properties and physical characteristics of aerosol. The row represent different samples from Mie calculations.
- icon-art-aging-aero_DOM01_ML_0022.nc is the ICON-ART output for dust case study
- Soufriere-April-2021-fplume-aerodyn-forecast_mode_DOM03_ML_0162.nc is the ICON-ART output for volcano case study
Data used for training and validating MieAI model:
- icon-art-LAM_DOM01_ML_0023.nc is the ICON-ART output for Biomass case study
MieAI: A neural network for calculating optical properties of internally mixed aerosol in atmospheric models
#In-Process Porosity Detection Dataset by Means of Structure-Borne Acoustic Emission Measurement Technology in PBF-LB/M by wbk Institute of Production Science and ZEISS Please see provided Jupyter Notebook "README" for further information. This dataset is part 2 of 2.
In Process Porosity Detection Dataset by Means of Structure-Borne Acoustic Emission Measurement Technology in PBF-LB/M by wbk Institute of Production Science and ZEISS - Part 2
Daten zu den Abbildungen 2b, 6, 7, 8 und 9 der Publikation "Spreading and rebound dynamics of sub-millimetre urea-water-solution droplets impinging on substrates of varying wettability" im Dateiformat OriginPro.
This is the dataset accompanying the paper "Shaving Peaks by Augmenting the Dependency Graph" by Barth and Wagner The dataset contains a snapshot of the code used for publication. The code snapshot itself contains documentation on how to use it. Note that a more up-to-date version of the same code may be found at https://github.com/kit-algo/TCPSPSuite/ . The code in this data set should only be used if using the exact same software as for the original publication is desirable. In the paper, three instance sets, a small, a large and a "window" instance set are described. These are included here, too. A description of the data format is included within the documentation of the code.
Dataset accompanying "Shaving Peaks by Augmenting the Dependency Graph"
Raw Data, especially TEM, STEM, confocal microscopy as well as friction data
Raw Data to manuscript on tribologically induced oxidation
Institute for Meteorology and Climate Research, Karlsruhe Institute of Technology
Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology
Model results of nitric oxide (NO) and temperature (T) from the four chemistry-climate models WACCM, HAMMONIA, EMAC, and KASIMA within the Heppa III intercomparison experiment on electron precipitation impacts, derived as part of activities of the SPARC Solaris-Heppa working group 5 (https://solarisheppa.geomar.de/workinggroups). Model runs are carried out for the period March 16 to April 25, 2010, and model data are gridded onto the footprints (latitude, longitude, UT time of day) of the three satellite instruments SCIAMACHY/ENVISAT, MIPAS/ENVISAT and SOFIE/AIM. Model experiments are carried out using different ionization rate data sets: AIMOS, APEEP, and OULU, as well as a number of sensitivity experiments based on AIMOS data: without auroral electron precipitation (AIMOS_sens1), without medium energy electron precipitation (AIMOS_sens2), without photoionization (AIMOS_sens3), without photoionization and proton ionization (AIMOS_sens4), without upper boundary condition (AIMOS_sens5), without upper boundary condition and proton ionization (AIMOS_sens6). More information, e.g. about naming conventions, is given in description_of_datasets.pdf.
Atmosphere, Space Physics, Solar-Terrestrial Physics
Chemistry-climate model results of nitric oxide for the HeppaIII intercomparison experiment on electron precipitation impacts
This repository contains Jupyter Python Notebooks that implement impedance calculations as shown in Hyperpolarization and Sensitivity in Nuclear Magnetic Resonance by Karel Kouril and Benno Meier Journal of Magnetic Resonance Open Special Issue on Hyperpolarization RF_Circuit.ipynb contains the impedance / Q calculations as detailed in the manuscript RF_Circuit_SciKit_RF contains a basic analysis of the same circuits using the scikit-rf package The .html files with the same names are non-executable exports of these notebooks for inspection only.
Hyperpolarization and Sensitivity in Nuclear Magnetic Resonance - Python Notebooks / Circuit Impedance and Q-factor Calculation
Dataset for the paper "Frequency Multiplexing Enables Parallel Multi-Sample EPR"
Frequency Multiplexing Enables Parallel Multi-Sample EPR
- ICON-ART raw data for experiments 'Reference' (Hunga_ref.tar.gz) and 'noH2Ochem' (Hunga_noH2Ochem.tar.gz) - data to the figures: plume_development_maps.tar, plume_development_time.tar, plume_development_time_height.tar
Research data for 'Aerosol dynamic processes in the Hunga plume in January 2022: Does water vapor accelerate aerosol aging?' (Part 1/3)
Arbeitsgruppe A. V. Ustinov, Physikalisches Institut, KIT
Simulation and measurement data used in the dissertation manuscript by Alexander Bilmes(1) "Resolving locations of defects in superconducting transmon qubits" (defense on 8Feb2019, Referent Prof. A.V. Ustinov, Koreferent: Prof. A. Shnirman ), published via KITopen in Aug2018. (1) Physikalisches Institut, KIT, Wolfgang-Gaedestr. 1, 76137 Karlsruhe DOI of this data publication: 10.5445/IR/1000097356 zip files: part1-3: simulation data part4: matlab functions to generate plots contained in the dissertation manuscript after unzipping, you will find the following folders: - Fig2_3: matlab function and data used to generate the figure 2.3 - Fig4_3: matlab function and data used to generate the figure 4.3 - FigD2: matlab function and data used to generate the figure D.2 - TLS-locations\TLS_locations_allQubs_publish.m: matlab function used for the analyzis of TLS locations, and generation of Figures 2.10, 2.11, 4.6-4.8, 4.12-4.14, D.1, E.5, E.6, E.8, F.1 - TLS-locations\errorEstimation_InterfaceParticipation_publish.m: matlab function to estimate the errors presented in Equation 4.7 (Output files Pint_QB2_runAug2018 and Pint_QB2_runAug2018_roughSweep can be plotted with the same function: set the variable "loadprevious" to 1) - E-field_simulations_2D_1 and _2D_2 and _3D: simulation data used in the analyzis above. - E-field_simulations_2D_2\Exported_Data\path_along_film-edge-profile: matlab function to generate the points at the film edge profile (2D model), at which the electric field shall be exported from the simulation model - E-field_simulations_3D\Exported_Data\potential_for_2D-simu_V5_2_10: data exported from the 3D model to find the effective potential for the electrodes in the 2D model (see Fig 4.4 c) - E-field_simulations_3D\Exported_Data\Field_Along_Edges: exported data of electric fields along the fim edge in the 3D model, presented in Figs. 4.6 and F.6
Additional data for the dissertation: Resolving locations of defects in superconducting transmon qubits
The dataset collects research data related to the research on the high performance thermoplastic PEEK used as mold insert for ceramic injection molding.
Der Datensatz umfasst Forschungsdaten im Zusammenhang mit der Untersuchung des Hochleistungs-Thermoplasten PEEK, welcher als Formeinsatz für das Keramikspritzgießen verwendet wird.
Die hier gelisteten Forschungsdaten wurden teilweise für folgende Publikation verwendet: T. Hanemann, A. Klein, H. Walter, D. Wilhelm, S. Antusch, Evaluation of Material Extrusion Printed PEEK Mold Inserts for Usage in Ceramic Injection Molding, Journal of Manufacturing and Materials Processing, 8(4), 156 (2024), DOI: 10.3390/jmmp8040156.
Research on poly(ether ketone ketone) PEEK used as mold inserts
Federal Agency for Cartography and Geodesy (BKG), Wettzell, Germany
Federal Agency for Cartography and Geodesy (BKG), Leipzig, Germany
Black Forest Observatory (BFO), University of Karlsruhe (TH)
We present the software as now is available in a gitlab repository, documenting all changes applied to the original code. The software is complemented by data examples, which were distributed together with the original binary executable on CD-Rom.
Access to source code is essential in order to keep the program running on new computer platforms with recent compilers. Minor (and in a few cases major) modifications where applied by researchers to correct errors or support new features. This resulted in the unpleasant situation that different versions of the programs are circulated, where the relation to the original version is unclear (in particular with respect to source code modifications) and a clear statement is missing what holders of the source are allowed to do or not. Meanwhile (20 years after Eterna was first published) technical means are commonplace to publically distribute source code together with proper licensing and with each single modification being properly documented (such that the original author must not be blamed for mistakes introduced later).
In the belief that it would be in the intention of Hans-Georg Wenzel to support the continued use of Eterna in the tidal community, while allowing a clear distinction between current modifications and his original version and in the consent with his widow, Marion Wenzel, we publish the source code under terms of the GNU General Public License on a server of the Karlsruhe Institute of Technology (KIT) which is the successor of the University of Karlsruhe.
Eterna, the 'Earth tide data processing package', was created by the late Prof. Hans-Georg Wenzel at the Black Forest Observatory and the University of Karlsruhe in the 1990s. This collection of programs established one standard of tidal analysis and prediction in the Earth tide community. Originally distributed only in the form of executable binaries, source code started to be distributed in the community after Hans-Georg Wenzel passed away in 1999.
Eterna - Programs for tidal analysis and prediction
This dataset contains Doppler lidar measurements in the level 1 data format required for wind profile processing with AtmoProKIT. The measurements were carried out at Fischerbach from 10th to 12th July 2023.
AtmoProKIT level 1 Doppler lidar measurements demonstration dataset
The data contains the segmented, labeled electron tomography data of two different particles of an activated Ni/Al$_{2}$O$_{3}$ reference catalysts for CO$_{2}$ methanation.
The experimental procedure and data analysis details are provided in the respective original publication. Segmentation and labeling were performed with the software Avizo. The data import is possible and was tested with Avizo and the open source software ImageJ. The data is named according to the publication with ET1 and ET2 for the respective sample, while "material" is the solid, "pores" is the complete pore system and "pores.separate" is the separated pore system into individual pores.
Electron Tomography Datasets of a Ni/Al$_{2}$O$_{3}$ Reference Catalyst
Source and numerical data used to generate Fig.3 (right) of https://doi.org/10.1103/PhysRevB.105.115113. Details are given in the README.txt.
Data to: Breakdown of the Wiedemann-Franz law at the Lifshitz point of strained Sr2RuO4
This C++ code implements a cell-by-cell model of cardiac excitation using a piecewise-continuous finite element discretization and spectral deferred correction time stepping. The code is based on the Kaskade 7 finite element toolbox and forms a prototype for the µCarp code to be implemented in the Microcard project.
Higher-order time integration using spectral deferred correction method (SDC) in a cell by cell discretization of cardiac excitation
This data repository contains the most important simulation data of the master thesis "On the impact of spanwise inhomogeneous boundary conditions on secondary flows in turbulent channels" by Jonathan Neuhauser (2021). In particular, the temporally and flow directionally averaged flow fields (mean velocities, Reynolds stresses, triple correlations, terms of the TKE balance) of all simulations are included. The data are stored as a compressed NumPy file in the subfolder of the respective simulation. To simplify the evaluation, a script (incl. the pyxcompact library created in the course of the work) is included to extract the data for all figures based on the included simulations.
Dieses Datenrepository enthält die wichtigsten Simulationsdaten der Masterarbeit "On the impact of spanwise inhomogeneous boundary conditions on secondary flows in turbulent channels" von Jonathan Neuhauser (2021). Insbesondere sind die zeitlich und in Strömungsrichtung gemittelten Strömungsfelder (mittlere Geschwindigkeiten, Reynoldsspannungen, Dreifachkorrelationen, Terme der TKE-Bilanz) aller Simulationen enthalten. Die Daten sind als komprimierte NumPy-Datei im Unterordner der jeweiligen Simulation abgelegt. Um die Auswertung zu vereinfachen, ist ein Skript (inkl. der im Rahmen der Arbeit erstellten pyxcompact-Bibliothek) beigelegt, mit dem die Daten für alle Abbildungen, die auf den enthaltenen Simulationen basieren, extrahiert werden.
All simulation folders contain the input file(s) for the simulation as well as the time-averaged one-point statistics of the flow. For all simulations, the following data is available: - mean velocities ``, `<v>`, `<w>` - Reynolds stresses `<u_i'*u_j*>`, pressure correlations `<u_i'*p'>` - Triple correlations `<u_i'*u_j'*u_j'>` - Averaged terms of the balance of turbulent kinetic energy (TKE): Production `P`, Pseudo-dissipation `psdiss`, pressure transport `ptr`, turbulent transport `ttrans`, viscous diffusion `viscdiff` and mean convection `mconv` - signed swirling strength `swirl_signed` - Invariants `eta`, `zeta` for the Lumley triangle as well as the averaging interval, and the y and z coordinates. For some SSBC cases, time-averaged spectra have been included. Their generation is lined out in the thesis; the methods required for generating them from the raw source files are included in `recreate_figures.py`. The dimension factors of the data have not been altered from the XCompact3D defaults. The dimension factor for velocity may be computed based on `` (e.g. friction velocity, bulk velocity). The viscosity, which is required to make the TKE fields dimensionless (dimension factor `u_tau^4/nu`) is given as `nu = 1/re_cl` with `re_cl = (re_tau/0.116)**(1.0/0.88)`. A script to extract the data for the figures in the thesis is also included. This script queries the library described in the Appendix, `pyxcompact`. The following libraries are used (tested versions in parentheses): - `numpy` (1.19.2) - `matplotlib` (3.3.2) - `scipy``(1.5.2) (for interpolation of fields) - [optional] `einsum2` (0.1) (increases performance of derivation calls) The script has been tested with `Python 3.7.6` and `Python 3.8.5`. It is called as follows: `python recreate_figures.py`. On executing, some console messages, indicating that files are missing, will be printed. pyxcompact normally expects the raw output files of XCompact3D in the same folder as the input file; but then proceeds to load the time-averaged file into memory.
Dataset to On the impact of spanwise inhomogeneous boundary conditions on secondary flows in turbulent channels
This data set is locked. An updated version is available at: http://dx.doi.org/10.35097/d0prpzkxqkq2t09y
Data to the Measurement report: Brown carbon aerosol in rural Germany: sources, chemistry, and diurnal variations
PDF file with additional information on the sample labeling of the raw data
Pushing the Efficiency of the Selective and Base-free Air-Oxidation of HMF by Varying the Properties of Carbon-based Supports - Raw data
Institute for Molecular Systems and Engineering (IMSE), Heidelberg University
Institute of Applied Physics and Institue of Nanotechnolgy, Karlsruhe Institute of Technology
Organic Chemistry Institute and Centre for Advanced Materials, Heidelberg University; Institue of Nanotechnolgy, Karlsruhe Institute of Technology
Physical Chemistry Institute, Heidelberg University
Organic Chemistry Institute and Centre for Advanced Materials, Heidelberg University
Institute of Applied Physics, Karlsruhe Institute of Technology
Institute for Functional Interfaces and Karlsruhe Nano Micro Facility, Karlsruhe Institute for Technology
Facile Approach for 4D Microprinting of Multi-Photoresponsive Actuators
Due to their nested structure, double emulsions have the potential to encapsulate value-adding substances until their application, making them of interest to various industries. However, the complex, nested structure negatively affects the stability of double emulsions. Still there is a lack of suitable measurement technology to fundamentally understand the cause of the instability mechanisms taking place. This study presents a novel measurement method to continuously track filling degree changes due to water diffusion in a water-in-oil-in-water (W1/O/W2) double emulsion droplet. The measurement method is based on the Raman effect and provides both photometric and spectrometric data. No sample preparation is required, and the measurement does not affect the double emulsion droplet.
There are six different files: - "Figure 1", "Figure 2" & "Figure 6" are specificly for the respective figure and contain all relevant data - "Photometric measurements - W1 - ammonium nitrate" & "Photometric measurements - W1 - ammonium nitrate + polyethylene glycol" contain all photometric data of every experiment - the zip-archive "Spectrometric data" contains all spectrometric data of every experiment
Research data to "Monitoring of osmotic swelling induced filling degree changes in WOW double emulsions using Raman technologies"
The analysis was performed with SPSS Statistics Version 26.0.0.0. Multifactorial analyses of variance (ANOVA) were performed to determine the influence of the factors on the withdrawal capacity. An ANOVA was carried out for each plane RT and TL to the wood fiber. A unified statistical model with the same thread parameters and their interactions was chosen for both planes. This model was developed based on the significant thread parameters and interactions of the individual models of the planes.
This manuscript contains study data and supplementary research data. This study aims to determine the influence of thread parameters of wood screws on withdrawal capacity. Threaded test objects were used for this purpose. This allowed the thread parameters to be varied selectively. Investigated parameters were: thread height a, lead P, lead angle φ, and thread angle α. For this, they were varied on two factor levels. This results in a total of 16 threaded test objects (GP_A to GP_P). The influences in spruce were investigated for a tangential screw-in direction. The threaded test objects can be examined in one screw-in direction at different planes RT and TL of the thread to the wood fiber. The pull-out tests were performed based on EN 1382 (2016).
Research Data on the Influence of Thread Parameters on the Withdrawal Capacity of Wood Screws
Tharp, G. D., Newhouse, R. K., Uffelman, L., Thorland, W. G., & Johnson, G. O. (1985). Comparison of Sprint and Run Times with Performance on the Wingate Anaerobic Test. Research Quarterly for Exercise and Sport, 56(1), 73–76. https://doi.org/10.1080/02701367.1985.10608434In recent years the classic Margaria step-test for anaerobic power has been largely replaced by bicycle ergometer tests, the most popular of these being the Wingate Anaerobic Test (WAnT). The purpose of this study was to examine the relationship between the WAnT and sprint-run times and to determine the influence of age and weight on the WAnT scores. The 56 male volunteers (age 10–15 years) recruited from a track club and junior high school represented a wide range of athletic abilities. Subjects were tested for anaerobic power (5 sec output) and capacity (30 sec output) using the Wingate test procedures. Wingate scores for anaerobic power and capacity were only moderately correlated with 50 yd dash times (r = −.53 and −.53) and with the 600 yd run (r = −.26 and −.29). Partial correlations between these variables were lower when age adjusted and higher when adjusted for body weight. Results of this study indicate that the Wingate anaerobic test is only a moderate predictor of dash or run times, but becomes a stronger predictor when WAnT scores are adjusted for body weight.
Comparison of Sprint and Run Times with Performance on the Wingate Anaerobic Test
Simulated concentration data for birch pollen, birch SPP and hydrometeors and atmospheric variable (Part 12)
Simulated concentration data for birch pollen, birch SPP and hydrometeors and atmospheric variable (Part 15)
Simulated concentration data for birch pollen, birch SPP and hydrometeors and atmospheric variable (Part 4)
# RandomShimDB: A subset of the NMR magnet shimming database ShimDB RandomShimDB is a subset of the NMR magnet shimming database [ShimDB](https://github.com/mobecks/ShimDB) and contains over 15000 instances. Data is aquired on a Spinsolve 80 Carbon spectrometer (Magritek GmbH, Aachen, Germany, www.magritek.com) on 5%vv H2O in D2O and a water solution with CuSO4 (5mmol/L). RandomShimDB is part of "Acquisitions with random shim values enhances AI-driven NMR shimming" by M. Becker et al. [1]. The acquisition procedure was as follows. The manufacturer's automated shimming technique, based on the downhill simplex method, was used to obtain a reference spectrum. Then, the shims X, Y, Z and Z2 were varied. The dataset parameters were obtained by relative offsets from the reference shim values in a range R with weighting W, following Gaussian noise sampling. For each combination, the raw FID, acquisition parameters, and the shim values were stored. | Topic | Parameter | Value | |------------------------|------------------|-----------------------| | Dataset parameters | Shims | X,Y,Z,Z2 | | | Weightings W | [1.2, 1.0, 2.0, 18.0] | | | Shim range R | +/- 50 | | | Sample I | H2O+CuSO4 | | | Sample II | 5vol% H2O in D2O | | | Nr. spectra | {5000,10000} | | Acquisition parameters | Nucleus | 1H | | | Bandwidth | 5 kHz | | | Points | 32768 | | | Repetition time | 2000 ms | | | Phase correction | phi_0 | **We strongly encourage researchers to extend ShimDB with their own subsets to stimulate developments. We offer to include raw data or links to your publications into ShimDB.** ## Files format Each folder in RandomShimDB contains the following files: - data.1d -> the raw FID. - shims.par -> Shim values, where only linear shims are non-zero. - acqu.par -> Acquisition parameters. - proc.par -> Processing parameters. The RandomShimDB root folder also contains the reference starting shims (ReferenceShims.par). ## Data loading We deliver a python script ```utils_IO.py``` alongside [ShimDB](https://github.com/mobecks/ShimDB) to easily load the database into numpy array structure using the [nmrglue packages](https://github.com/jjhelmus/nmrglue)[2]. The following python libraries and packages are required: os, numpy, glob, nmrglue (>= v0.9.dev0) # References [1] M. Becker, S. Lehmkuhl, S. Kesselheim, J. G. Korvink, and M. Jouda, “Acquisitions with random shim values enhance AI-driven NMR shimming,” J. Magn. Reson., p. 107323, 2022, doi: https://doi.org/10.1016/j.jmr.2022.107323. [2] J. J. Helmus and C. P. Jaroniec, “Nmrglue: An open source Python package for the analysis of multidimensional NMR data,” J. Biomol. NMR, vol. 55, no. 4, pp. 355–367, 2013, doi: https://doi.org/10.1007/s10858-013-9718-x.
RandomShimDB: A subset of the NMR magnet shimming database ShimDB
In der Dissertation "Timing Sensitive Dependency Analysis and its Application to Software Security" präsentiere ich neue Verfahren zur statischen Analyse von Ausführungszeit-sensitiver Informationsflusskontrolle in Softwaresystemen. Ich wende diese Verfahren an zur Analyse nebenläufiger Java-Programme, sowie zur Analyse von Ausführungszeit-Seitenkanälen in Implementierungen kryptographischer Primitive. In diesem VirtualBox Maschinen-Abbild stelle ich Implementierungen aller neuen Algorithmen dieser Dissertation bereit, zusammen mit randomisierten Test-Eigenschaften für alle formalen Observationen der Dissertation.
This is the artifact corresponding to the thesis "Timing Sensitive Dependency Analysis and its Application to Software Security" by Martin Hecker The Virtual Box virtual machine image ```dissertation-vm``` can be used by logging in via user: ```hecker``` password: ```hecker``` In the users home directory, you will find in * ```randomized-tests.git/``` — in the language Haskell — both implementations of the submission's algorithms, and randomized tests that verify the submission's Observations. * ```randomized-tests.git/src/test/Program/Properties/DissObservations.hs``` contains the randomized tests corresponding to the dissertations Observations. The results can be reproduces within the virtual machine image by help of the provided shell runners. From the users home directory, run * ```./randomized-tests``` to once run all randomized tests except those marked 'slow', which are randomized tests that may run several minutes some randomized inputs. * ```./randomized-tests-slow``` to once run all those randomized tests marked 'slow'. * ```./randomized-tests-forever``` or ```./randomized-tests-slow-forever``` to run the randomized tests forever, only terminating if there was found a counter-example to the submission's Observations.
In my thesis "Timing Sensitive Dependency Analysis and its Application to Software Security", I present new methods for the static analysis of timing sensitive information flow control in software systems. I apply these methods in the analysis of concurrent Java programs, as well as the analysis of timing side-channels in implementations of cryptographic primitives. In this VirtualBox machine image, I provide Implementations for all new Algorithms of my thesis, and randomized test properties for all formal Observations in the thesis.
Implementations of Algorithms from the Thesis "Timing Sensitive Dependency Analysis and its Application to Software Security"
Das Simulationsmodell kann dazu genutzt werden Erkenntnisse zum Zusammenhang zwischen Gestaltparametern und radialen Schwingungen zu untersuchen. Zur Erzeugung von anwendungsnahen Ergebnissen ist eine Parametrierung auf den gegebenen Anwendungsfall erforderlich.
Simulationsmodell eines in einem Polymergehäuse und Elastomerring gelagerten Antriebsstrangs mit Kegelradgetriebe
Contents of the Repository The repository includes the following types of data: 1. Raw Data Electron Microscopy Data: 4D-STEM datasets in native file formats (*.dm4, *.mrc, or equivalent). Magnetic and Structural Maps: Data matrices representing the measured magnetic and strain fields, stored as .h5 or .csv files. 2. Processed Data Pixel-to-pixel correlation data between physical quantities. Figures and images presented in the publication (e.g., strain maps, magnetic field maps, and combined overlays). 3. Supplementary Data Source data for supplementary figures and tables. MATLAB/Python scripts used to analyze the data. 4. Metadata Information on experimental conditions, microscope parameters, and software versions. Calibration files used for the analysis.
Small adjustments in atomic configurations can significantly impact magnetic properties of matters. Strain, for instance, can alter magnetic anisotropy and enable fine-tuning of magnetism. However, the effects of these changes on nanoscale magnetism remain largely unexplored. In particular, when strain fluctuates at the nanoscale, directly linking structural changes with magnetic behavior poses a substantial challenge. Here, we develop a approach, LA-Ltz-4D-STEM, to simultaneously map structural information and magnetic fields at the nanoscale. This approach opens avenues for in-depth studying the structure-property correlation of magnetic materials on the nanoscale. We applied LA-Ltz-4D-STEM to simultaneously image strain, atomic packing, and magnetic fields in a deformed amorphous ferromagnet with complex strain variations at the nanoscale. An anomalous magnetic configuration near shear bands, which reside in a magnetostatically high-energy state, was observed. By performing pixel-to-pixel correlation of the different physical quantities across a large field of view, a critical aspect for investigating industrial ferromagnetic materials, the magnetic moments were classified into two distinct groups: one influenced by magnetoelastic coupling and the other oriented by competition with magnetostatic energy.
data for Large-angle Lorentz 4-Dimensional Scanning Transmission Electron Microscopy for Simultaneous Local Magnetic, Strain and Structure Mapping
Pictures taken for photo analysis and raw data of micro tomography Affiliation of Maximilian Lausch: Institute for Fluid Mechanics and Aerodynamics (SLA), Technical University of Darmstadt (TUD), Flughafenstr. 19, 64347 Griesheim, Germany Affiliation of Paolo Dolcet: : Dipartimento di Scienze Chimiche, Università degli Studi di Padova, Via Francesco Marzolo 1, 35131 Padova, Italy
A laboratory scale fast feedback characterization loop for optimizing coated catalysts for emission control - Raw data
Simulated concentration data for birch pollen, birch SPP and hydrometeors and atmospheric variable (Part 14)
Simulated concentration data for birch pollen, birch SPP and hydrometeors and atmospheric variable (Part 10)
The holographic X-ray computed tomography experiments were performed on beamline ID16A at the European Synchrotron Radiation Facility (ESRF), Grenoble, France in the frame of experiment CH-5805. The experimental procedure and data analysis details are provided in the respective original publication. Segmentation and labeling were performed with the software Avizo. The data import is possible and was tested with Avizo and the open source software ImageJ. The data is named according to the publication "material" is the nanoporous solid, "pores" is the complete pore system and "pores.separate" is the separated pore system into individual pores
The data contains the segmented, labeled holographic X-ray computed tomography data of an activated Ni/Al$_{2}$O$_{3}$ reference catalyst for CO$_{2}$ methanation.
Holographic X-ray computed tomography datasets of an activated Ni/Al$_{2}$O$_{3}$ reference catalyst
TEM raw data for the publication "Continuous flow oxidation of HMF using supported AuPd-alloy" PDF file for information on sample labeling
Raw data: Continuous flow oxidation of HMF using supported AuPd-alloy
Institut für QuantenMaterialien und Technologien
Raw data of the calibration with enstatite and raw data of samples c1,c2 and c3. The data were measured at beamline P02.2 (PETRA III, DESY) using a Perkin Elmer XRD 1621 detector and a beam energy of 42.71 keV. At each pressure and temperature, wide scans with 0.5 s exposures and 0.5° intervals and -25° to +30° rotation were performed. Beamtime for these measurements was allocated for proposal I-20200263.
We will investigate the effect of high pressure on the crystal structure and charge density waves (CDWs) of superconducting BaNi2As2, a candidate system for charge-driven electronic nematicity. Chemical substitutions have shown the effective tuning of its electronic ground state by chemical pressure and have indicated the unconventional nature of the observed CDWs. The microscopic origin of the CDWs, their interplay and their association with the nematic instability remain to be clarified.
High pressure study of charge density wave ordering in BaNi₂As₂
The data set includes the following: (i) Lagrangian air parcel trajectories of WCB airstreams and respective properties from each PPE member (ID000-ID069), and (ii) values for the parameter perturbations.
This archive contains warm conveyor belt (WCB) trajectory data from a perturbed parameter ensemble (PPE) presented in the manuscript "Sensitivities of warm conveyor belt ascent, associated precipitation characteristics and large-scale flow pattern - insights from a perturbed parameter ensemble" published in the Quartely Journal of the Royal Meteorological Society. The study presents a 70-member perturbed parameter ensemble (PPE) built with the Icosahedral Nonhydrostatic (ICON) modelling framework and analyses sensitivities of WCB ascent and its characteristics to perturbations of cloud microphysical parameters and environmental conditions. WCB ascent behaviour and associated properties are quantified based on online trajectories which are included in this archive. Details about parameter perturbations and variables stored along WCB trajectories are provided in the original publication.
(i) WCB trajectories and respective properties Each file (PPE_WCB_trajs_ID*nc; in netcdf format) contains WCB trajectory data from one PPE member, representing the path in space (3D coordinates) and time (time step) of air parcels identified to belong to a WCB as well as characteristics in terms of variables at each time step; data are available 1-hourly and centered relative to the start of the WCB ascent phase at time = 0 h. WCB trajectory information is extended to time = -10 h to time = 58 h relative to the start of the ascent. The following variables are available (see Oertel et al., 2025 for more details): (1) Basic WCB characteristics (longitude, latitude, pressure, altitude, temperature, potential vorticity, specific humidity, simulation lead time) (2) Hydrometeor mass mixing ratios for cloud droplets, rain drops, ice, snow, and graupel (3) Along flow integrated diabatic heating rates (ADH, in K; ADH for first and second saturation adjustment, vapor deposition on snow, ice, and sum of all frozen hydrometeors, riming, CCN activation, evaporation of rain and of melting ice hydrometeors, melting of frozen hydrometeor, freezing of rain, homogeneous freezing of cloud droplets, homogeneous and heterogeneous ice nucleation, long- and shortwave radiation, convection and turbulence parameterisations) (4) Along flow integrated diabatic PV rates (APV, in PVU; APV for first and second saturation adjustment, vapor deposition on sum of all frozen hydrometeors, riming, evaporation of rain, melting of frozen hydrometeors, as well as total radiation, convection and turbulence parameterisations) (ii) Values for the parameter perturbations Both text files, EmulatorInputsDesign.csv and ValidationInputsDesign.csv, include the values for the parameter perturbations for each PPE member for the training (EmulatorInputsDesign.csv; PPE members ID000-ID049) and the validation (ValidationInputsDesign.csv; PPE members ID050-ID069) data sets, respectively. The training data set includes the first 50 members and the validation data set includes 20 additional members. The PPE includes five perturbed parameters, which are sea surface temperature (SST), cloud condensation nuclei (CCN), ice nucleating particles (INP), capacitance of ice and snow (CAP), and maximum supersaturation (SAT). Each column lists one perturbed parameter for the respective simulation: V1 (SST), V2 (CCN), V3 (INP), V4 (CAP), and V5 (SAT). The perturbed parameter values are explained in more detail in Oertel et al. (2025).
Atmospheric Science, ICON, WCB trajectories, sensitivity experiments, cloud microphysics, perturbed parameter ensemble (PPE)
Research data for "Sensitivities of warm conveyor belt ascent, associated precipitation characteristics and large-scale flow pattern - insights from a perturbed parameter ensemble"
Angewandte Werkstoffphysik, Graduiertenkolleg 2561: Materials Compounds from Composite Materials
Graduiertenkolleg 2561: Materials Compounds from Composite Materials
BCC Mo-Ti solid solutions were synthesised by arc-melting in the range of 0-80at% Ti. Mechanical properties were scale-bridging characterised using nanoindentation, Vickers hardness testing and compression testing to isolate solid solution strengthening. Additional structural (XRD) and compositional analyses (HCGE) were also performed to assess lattice parameter and synthesis-related uptake of O and N. In order to assess strength contributions by screw and edge dislocation motion, the model-compatible descriptions of edge dislocation-controlled solid solution strengthening (Maresca and Curtin, Acta Materialia 182 (2020) 235-249) and screw dislocation controlled strengthening (Ghafarollahi and Curtin, Acta Materialia 226 (2022), 117617) were implemented and the strength of the solid solutions was modelled.
Three ASCII-files are included: Mechanical properties (nanohardness, Vickers hardness, offset yield strength and Young's modulus) are found in mech_properties.txt. Lattice parameter data, O and N contents and Ti contents determined by EDX are found in other_properties.txt. All mechanical properties are given with their standard deviation. Strength modelled by the implementations of solid solution strengthening are found in Curtin_models.txt for both dislocation types.
Raw Data to "The influence of lattice misfit on screw and edge dislocation-controlled solid solution strengthening in Mo-Ti alloys"
Institut für Meteorologie und Klimaforschung Troposphärenforschung (IMKTRO), Karlsruher Institut für Technologie (KIT)
This archive contains the data corresponding to the manuscript “Changes of intense extratropical cyclone deepening mechanisms in a warmer climate in idealized simulations" by Ting-Chen Chen [1][*], Christoph Braun [1], Aiko Voigt [2], and Joaquim G. Pinto [1] [1] Institute of Meteorology and Climate Research Troposphere Research (IMKTRO), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany [2] Department of Meteorology and Geophysics, University of Vienna, Vienna, Austria [*] Current affiliation: Earth and Life Institute, UCLouvain, Louvain-la-Neuve, Belgium Please contact Ting-Chen Chen (ting-chen.chen@uclouvain.be) or Christoph Braun (christoph.braun@kit.edu) if you have questions regarding the content of this archive. The dataset contains post-processed model output of idealized baroclinic life cycle simulations performed with the atmospheric component of the Icosahedral Nonhydrostatic model (ICON-NWP; version 2.6.2.2). There are 12 experiments with 6 different initial climatic conditions: (1) present day (CTL); (2) uniform +4 K warming & moistening (4K); (3) uniform +4K warming but not moistening (4K_qvCTL); (4) non-uniform warming and moistening as anticipated by a CMIP6 model for the end of the 21st century under the high-emissions scenario SSP5-8.5 (Tanom); (5) tropical warming&moistening (Tanom_tropics); (6) polar warming&moistening (Tanom_polar), each performed with 2 different model grid spacing (80 km and 2.5 km). The data is organized into 3 subdirectories: (1) input_data (initial conditions set for the simulations); (2) remapped_simulation_output (post-processed model output data; re-gridded from the unstructured native model grid to the regular lat-lon grid; only for selected variables); (3) PTE_results (results created during the analysis of pressure tendency equation (PTE), such as cyclone tracks, maps for the distribution of each PTE components, and their time series averaged around the cyclone center). For the scripts that were used to produce the above data & to plot the figures shown in the paper, please see the link: https://gitlab.phaidra.org/chent73/chen-etal-2024-climxtreme-jcli
Changes of intense extratropical cyclone deepening mechanisms in a warmer climate in idealized simulations
This dataset contains all the measurements used for the analysis of the respective publication. More details on the measurement setup etc. can be found in there. The data contains of three subfolders, one including the AIDA data, one the INKA and one the mul-NIPI data. Each folder contains one txt file for each experiment of the measurement campaign (see Table 2 in the publication). The name of the txt file represents the sample and the aerosolisation technique used (in case of the AIDA and INKA data). Below we give a short explanation on the data in each folder: AIDA: Each data file consists of 6 columns: temperature T ([T]=K), the uncertainty of T deltaT, the surface active site density nS ([ns]=m-2), the uncertainty of ns deltanS, the ice nucleation active site density per mass of sea salt nm ([nm]=g-1), the uncertainty of nm deltanm. The AIDA ns data were corrected for the background ice nucleation mode observed in the reference experiments with purely inorganic Sigma-Aldrich sea salt solution droplets (see Sect. 2.4 in the manuscript). There was no signal above background for the following experiments (and therefore no data file exists): SM100a AEGOR, SM10 AEGOR, SML8 AEGOR. INKA: Each data file consists of 2 columns: temperature T ([T]=°C), the surface active site density ns ([ns]=m-2). There was no signal for the following experiments (and therefore no data file exists): Sigma sea salt nebuliser, SM100a AEGOR, SML8 AEGOR. NIPI: Data files consist at least of two columns (T and FF) and additional of the following (depending on the dataset): temperature T ([T]=°C), concentration of ice nucleation particles INP ([INP]=L-1), frozen fraction FF, the ice nucleation active site density per mass of sea salt nm ([nm]=g-1), the freezing point depression corrected temperature Corrected T ([Corrected T]=°C), the upper limit of the ice nucleation active site density per mass of sea salt nm ([nm]=g-1), the lower limit of the ice nucleation active site density per mass of sea salt nm ([nm]=g-1).
Dataset ice nucleating activity of Arctic sea surface microlayer samples and marine algal cultures
The repository contains the results of structural drill core investigations with particular consideration of stress-induced features. The cores have been assembled and labelled and reference lines have been introduced. All structural information refers to these lines. We have distinguished between induced and natural open and filled fractures and bedding.
Micro-scaffolds as synthetic cell niches recent advances and challenges
Data comprise the measurements from MAAP, AE33, COSMOS, and PAAS-4λ
Air quality monitoring data from Pallas, Finland for the period between December 21, 2021 and November 21, 2022, which was used for an intercomparison of aerosol light absorption instruments
The data set presented here consists of a case study in the framework of the DFG-project ICECREAM (Analysis of high-latitude cirrus cloud feedbacks on the trace gas composition of the UTLS), and comprises observations of the trace gases water vapour (H2O), ozone (O3), nitric acid (HNO3) and clouds in the upper troposphere/lowermost stratosphere (UT/LMS) by the infrared remote sensing instrument GLORIA (Gimballed Limb Observer for Radiance Imaging of the Atmosphere), and the corresponding model data of dedicated simulations with the numerical weather prediction (NWP)-model ICON (ICOsahedral Nonhydrostatic) with the extension ART (Aerosols and Reactive Trace gases), and the chemistry-climate model (CCM) EMAC (ECHAM5/MESSy Atmospheric Chemistry). The data cover one research flight during the Arctic winter 2015/2016, when GLORIA was deployed on-board the German Research aircraft HALO (High Altitude and LOng range research aircraft) during the POLSTRACC (POLar STRAtosphere in a Changing Climate), GW-LCYCLE (Gravity Wave Life Cycle Experiment) II and SALSA (Seasonality of Air mass transport and origin in the Lowermost Stratosphere using the HALO Aircraft) (PGS) field campaign. This joint campaign probed the Arctic UT/LMS during different stages of the winter 2015/2016. The analysed research flight here, PGS 14, on 26 February 2016, covered deeply subsided air masses of the aged Arctic vortex, high-latitude LMS air masses, a highly textured troposphere-to-stratosphere exchange region, and high-altitude cirrus clouds. Therefore, it provides the opportunity to test state-of-the-art atmospheric model simulations in a complex UT/LMS region at a late stage of the Arctic winter 2015/2016. Details on the data are provided in the file “ReadMe.pdf”.
GLORIA, POLSTRACC, HALO, ICECREAM, remote sensing, upper troposphere, lowermost stratosphere, trace gases, cirrus clouds, atmospheric composition, ICON-ART, EMAC, high latitudes, water vapour, H2O, ozone, O3, nitric acid, HNO3
- ICON-ART raw data for experiments 'noARI' (Hunga_noARI.tar.gz), 'noAsh' (Hunga_noAsh.tar.gz), and 'novolc' (Hunga_novolc.tar.gz)
Research data for 'Aerosol dynamic processes in the Hunga plume in January 2022: Does water vapor accelerate aerosol aging?' (Part 3/3)
The research data referenced in Section 7.3.2 refers to file 'ResearchData_OptimizationModels' presenting the results of the overall optimization model and the iterative segmented optimization model within the corresponding sheets. The research data referenced in Section 8.2.2 refers to file 'ResearchData_BatchCharacteristics'. The results are structured according to the investigated parameters batch size, sequencing rate and arrival sequence, each within the corresponding sheet. The research data referenced in Section 8.3.1.2 refers to file 'ResearchData_Network' - sheet 'In-Outflow Capacity'. The research data referenced in Section 8.3.2.2 refers to file 'ResearchData_Network' - sheet 'Sequencing Capacity'.
Research data to "Multi-Batch Sequencing with Decentralized Control using Highest-Density Conveyor Networks"
Piezometer Measurements at the Enguri High Arch Dam, Georgia
Survey on storage and long-term archiving of research data at KIT
Umfrage zur Speicherung und Langzeitarchivierung von Forschungsdaten am KIT
Institut für Fördertechnik und Logistiksysteme (IFL), Karlsruher Institut für Technologie (KIT)
The repository contains two data sets: • Data set "Peak": Assumes that during an operating cycle, the expected customer demand increases monotonously, reaching its maximum value at the cutoff point (Numerical study in Sec. 5 of the paper). • Data set "Uniform": Assumes that during an operating cycle, the expected customer demand is constant at each discrete point in time (Numerical study in Appendix B of the paper).
This data repository contains the raw data used in the numerical experiments presented in the publication "Managing cutoff‑based shipment promises for order fulfilment processes in warehousing".
Data sets for the numerical analysis in the publication Managing Cutoff‑Based Shipment Promises for Order Fulfilment Processes in Warehousing
# Simulated 2D RASER MRI dataset for AI-driven artefact correction Data for AI-driven artefact correction in 2D RASER MRI images. Random images are generated with basic shapes and image transformations. 30 projections of each image are taken, and undergo a RASER (Radiowave amplification by the stimulated emission of radiation) [1] simulation in MATLAB. The data is divided into 3 subsets: - 10k_images.7z --> standard random images - 10k_images_WithPump.zip --> projections experience parahydrogen pumping - 1k_images_20TPI.zip --> high total population inversion (TPI) variations of +/- 20% ## File format Folder structure: ```{subset}/image{#}/{TPI value}/{filename.csv}``` Each folder contains the following files: - A(0).csv --> Signal amplitude - d(0).csv --> TPI evolution - meta.csv --> Meta information - output(Real and Imag).csv --> Simulated RASER signal - Phi(0).csv --> Signal phase ## Data loading Scripts for data loading are provided with the code at [github.com/mobecks/raser-mri-ai](https://github.com/mobecks/raser-mri-ai). ## References [1] Sören Lehmkuhl et al., RASER MRI: Magnetic resonance images formed spontaneously exploiting cooperative nonlinear interaction.Sci. Adv.8,eabp8483(2022). DOI:10.1126/sciadv.abp8483
Simulated 2D RASER MRI dataset for AI-driven artefact correction
Supplement for "Transformation of the filamentous Cyanobacterium Phormidium lacuna: Electroporation versus Natural Transformation": Plasmids, Transformation experiments, Bioinformatics
Electronic supplement: "Transformation of the filamentous Cyanobacterium Phormidium lacuna: Electroporation versus Natural Transformation"
These are the experimental data for the paper> Bach, Jakob. "Using Constraints to Discover Sparse and Alternative Subgroup Descriptions" published on [arXiv](https://arxiv.org/) in 2024. You can find the paper [here](https://doi.org/10.48550/arXiv.2406.01411) and the code [here](https://github.com/Jakob-Bach/Constrained-Subgroup-Discovery). See the `README` for details. The datasets used in our study (which we also provide here) originate from [PMLB](https://epistasislab.github.io/pmlb/). The corresponding [GitHub repository](https://github.com/EpistasisLab/pmlb) is MIT-licensed ((c) 2016 Epistasis Lab at UPenn). Please see the file `LICENSE` in the folder `datasets/` for the license text.
# Experimental Data for the Paper "Using Constraints to Discover Sparse and Alternative Subgroup Descriptions" These are the experimental data for the paper> Bach, Jakob. "Using Constraints to Discover Sparse and Alternative Subgroup Descriptions" published at [arXiv](https://arxiv.org/) in 2024. If we create further versions of this paper in the future, these experimental data may cover them as well. Check our [GitHub repository](https://github.com/Jakob-Bach/Constrained-Subgroup-Discovery) for the code and instructions to reproduce the experiments. We obtained the experimental results on a server with an `AMD EPYC 7551` CPU (32 physical cores, base clock of 2.0 GHz) and 160 GB RAM. The operating system was `Ubuntu 20.04.6 LTS`. The Python version was `3.8`. With this configuration, running the experimental pipeline (`run_experiments.py`) took about 34 hours. The commit hash for the last run of the experimental pipeline (`run_experiments.py`) is [0a57bcd529](https://github.com/Jakob-Bach/Constrained-Subgroup-Discovery/tree/0a57bcd52938dce6285e8113d777360c2b17f30f). The commit hash for the last run of the evaluation pipeline (`run_evaluation_arxiv.py`) is [48f2465b4c](https://github.com/Jakob-Bach/Constrained-Subgroup-Discovery/tree/48f2465b4cabf2d6657e4ff4b73c28c240d0b883). We also tagged both commits (`run-2024-05-13` and `evaluation-2024-05-15`). The experimental data are stored in two folders, `datasets/` and `results/`. Further, the console output of `run_evaluation_arxiv.py` is stored in `Evaluation_console_output.txt` (manually copied from the console to a file). In the following, we describe the structure and content of each data file. ## `datasets/` These are the input data for the experimental pipeline `run_experiments.py`, i.e., the prediction datasets. The folder contains one overview file, one license file, and two files for each of the 27 datasets. The original datasets were downloaded from [PMLB](https://epistasislab.github.io/pmlb/) with the script `prepare_datasets.py`. Note that we do not own the copyright for these datasets. However, the [GitHub repository of PMLB](https://github.com/EpistasisLab/pmlb), which stores the original datasets, is MIT-licensed ((c) 2016 Epistasis Lab at UPenn). Thus, we include the file `LICENSE` from that repository. After downloading from `PMLB`, we split each dataset into the feature part (`_X.csv`) and the target part (`_y.csv`), which we save separately. Both file types are CSVs that only contain numeric values (categorical features are ordinally encoded in `PMLB`) except for the column names. There are no missing values. Each row corresponds to a data object (= instance, sample), and each column either corresponds to a feature (in `_X`) or the target (in `_y`). The first line in each `_X` file contains the names of the features as strings; for `_y` files, there is only one column, always named `target`. For the prediction target, we ensured that the minority (i.e., less frequent) class is the positive class (i.e., has the class label `1`), so the labeling may differ from PMLB. `_dataset_overview.csv` contains meta-data for the datasets, like the number of instances and features. ## `results/` These are the output data of the experimental pipeline in the form of CSVs, produced by the script `run_experiments.py`. `_results.csv` contains all results merged into one file and acts as input for the script `run_evaluation_arxiv.py`. The remaining files are subsets of the results, as the experimental pipeline parallelizes over 27 datasets, 5 cross-validation folds, and 6 subgroup-discovery methods. Thus, there are `27 * 5 * 6 = 810` files containing subsets of the results. Each row in a result file corresponds to one subgroup. One can identify individual subgroup-discovery runs with a combination of multiple columns, i.e.: - dataset `dataset_name` - cross-validation fold `split_idx` - subgroup-discovery method `sd_name` - feature-cardinality threshold `param.k` (missing value if no feature-cardinality constraint) - solver timeout `param.timeout` (missing value if not solver-based search) - number of alternatives `param.a` (missing value if only original subgroup searched) - dissimilarity threshold `param.tau_abs` (missing value if only original subgroup searched) For each value combination of these seven columns, there is either one subgroup (search for original subgroups) or six subgroups (search for alternative subgroup descriptions, in which case the column `alt.number` identifies individual subgroups within a search run). Further, note that the last four mentioned columns contain missing values, which should be treated as a category on their own. In particular, if you use `groupby()` from `pandas` for analyzing the results and you want to include any of the last four mentioned columns in the grouping, you should either fill in the missing values with an (arbitrary) placeholder value or use `dropna=False`, because the grouping (by default) ignores the rows with missing values in the group columns otherwise. The remaining columns represent results and evaluation metrics. In detail, all result files contain the following columns: - `objective_value` (float in `[-0.25, 1]` + missing values): Objective value of the subgroup-discovery method on the training set. WRAcc when searching original subgroups and normalized Hamming similarity when searching alternative subgroup descriptions. Missing value for *MORS* as the subgroup-discovery method, since *MORS* does not explicitly compute an objective when searching for subgroups. - `optimization_status` (string, 2 different values + missing values): For *SMT*, `sat` if optimal solution found and `unknown` if timeout. Missing value for all other subgroup-discovery methods (which do not use solver timeouts). - `optimization_time` (non-negative float): The runtime of optimization in the subgroup-discovery method, i.e., without pre- and post-processing steps. - `fitting_time` (non-negative float): The complete runtime of the subgroup-discovery method (as reported in the paper), i.e., including pre- and post-processing steps. Very similar to `optimization_time` except for *SMT* as the subgroup-discovery method, which may spend a considerable amount of time formulating the optimization problem. - `train_wracc` (float in `[-0.25, 0.25]`): The weighted relative accuracy (WRAcc) of the subgroup description on the training set. - `test_wracc` (float in `[-0.25, 0.25]`): The weighted relative accuracy (WRAcc) of the subgroup description on the test set. - `train_nwracc` (float in `[-1, 1]`): The normalized weighted relative accuracy (WRAcc divided by its dataset-dependent maximum) of the subgroup description on the training set. - `test_nwracc` (float in `[-1, 1]`): The normalized weighted relative accuracy (WRAcc divided by its dataset-dependent maximum) of the subgroup description on the test set. - `box_lbs` (list of floats, e.g., `[-inf, 0, -inf, -2, 8]`): The lower bounds for each feature in the subgroup description. Negative infinity if a feature's lower bound did not exclude any data objects from the subgroup. - `box_ubs` (list of floats, e.g., `[inf, 10, inf, 5, 9]`): The upper bounds for each feature in the subgroup description. Positive infinity if a feature's upper bound did not exclude any data objects from the subgroup. - `selected_feature_idxs` (list of non-negative ints, e.g., `[0, 4, 5]`): The indices (starting from 0) of the features selected (= restricted) in the subgroup description. Is an empty list, i.e., `[]`, if no feature was restricted (thus, the subgroup contains all data objects). - `dataset_name` (string, 27 different values): The name of the `PMLB` dataset used for subgroup discovery. - `split_idx` (int in `[0, 4]`): The index of the cross-validation fold of the dataset used for subgroup discovery. - `sd_name` (string, 6 different values): The name of the subgroup-discovery method (`Beam`, `BI`, `MORS`, `PRIM`, `Random`, or `SMT`). - `param.k` (int in `[1, 5]` + missing values): The feature-cardinality threshold for subgroup descriptions. Missing value if unconstrained subgroup discovery. Always `3` if alternative subgroup descriptions searched. - `param.timeout` (int in `[1, 2048]` + missing values): For *SMT*, solver timeout (in seconds) for optimization (not including formulation of the optimization problem). Missing value for all other subgroup-discovery methods. - `alt.hamming` (float in `[0, 1]` + missing values): Normalized Hamming similarity between the current subgroup (original or alternative) and the original subgroup if alternative subgroup descriptions searched. Missing value if only original subgroup searched. - `alt.jaccard` (float in `[0, 1]` + missing values): Jaccard similarity between the current subgroup (original or alternative) and the original subgroup if alternative subgroup descriptions searched. Missing value if only original subgroup searched. - `alt.number` (int in `[0, 5]` + missing values): The number of the current alternative if alternative subgroup descriptions searched. Missing value if only original subgroup searched. Thus, original subgroups either have `0` or a missing value in this column (i.e., for experimental settings where alternative subgroup descriptions searched, there is no separate search for an original subgroup, only a joint sequential search for original and alternatives). - `param.a` (int with value `5` + missing values): The number of desired alternative subgroup descriptions, not counting the original (zeroth) subgroup description. Missing value if only original subgroup searched. - `param.tau_abs` (int in `[1, 3]` + missing values) The dissimilarity threshold for alternatives, corresponding to the absolute number of features that have to be deselected from the original subgroup description and each prior alternative. Missing value if only original subgroup searched. You can easily read in any of the result files with `pandas`: ```python import pandas as pd results = pd.read_csv('results/_results.csv') ``` All result files are comma-separated and contain plain numbers and unquoted strings, apart from the columns `box_lbs`, `box_ubs`, and `selected_feature_idxs` (which represents lists and whose values are quoted except for empty lists). The first line in each result file contains the column names. You can use the following code to make sure that the lists of feature indices are treated as such (rather than strings): ```python import ast results['selected_feature_idxs'] = results['selected_feature_idxs'].apply(ast.literal_eval) ``` Note that this conversion does not work for `box_lbs` and `box_ubs`, where the lists not only contain ordinary numbers but also `-inf`, and `inf`; see [this *Stack Overflow* post](https://stackoverflow.com/questions/64773836/error-converting-string-list-to-list-when-it-contains-inf) for potential alternatives.
Experimental Data for the Paper "Using Constraints to Discover Sparse and Alternative Subgroup Descriptions"
Institut für Geographie und Geoökologie (IFGG), Karlsruher Institut für Technologie (KIT), Natürliche und gebaute Umwelt (BL4), Karlsruher Institut für Technologie (KIT)
Institut für Regionalwissenschaft (IFR), Karlsruher Institut für Technologie (KIT)
Städte und Gemeinden stehen vor der herausfordernden Aufgabe ihre Kommune an die zu erwartenden Folgen des Klimawandels anzupassen. Deutlich höhere Sommertemperaturen und Hitzeextremereignisse, ein klimatischer Wechsel von dem früher sehr häufigen und regelmäßigen Landregen im Sommer hin zu wochenlangen Dürrephasen und vermehrt Starkregenextremereignisse, deren Wassermassen die vorhandene Infrastruktur nicht abfangen kann - sind sehr wahrscheinliche Folgen, denen die heutige Planung gerecht werden muss. Die Kommunen stehen daher vor der herausfordernden Aufgabe, die Belange der Klimaanpassung bestmöglich in ihre Planungen zu integrieren. Zur Unterstützung wurde bereits eine große Vielzahl an Leitfäden unterschiedlicher Schwerpunktsetzungen zur kommunalen Klimaanpassung entwickelt und veröffentlicht. Der Nachteil dieser Vielfalt jedoch ist der hohe Zeitaufwand der Fachangestellten und Planenden, sich in die Thematik fundiert einzuarbeiten. Die hier vorliegenden Tabellen sind ein Versuch, außerhalb von projektspezifischen Rahmenbedingungen die vorhandene Vielfalt an konkreten Maßnahmen zur kommunalen Klimaanpassung und das vorhandene Wissen zu den Einzelmaßnahmen zusammenzutragen. Die Maßnahmen im besiedelten Raum sind zunächst nach ihrer Anpassungsthematik gegliedert, wobei einzelne Maßnahmen auch verschiedenen Anpassungsthemen dienen können. Die Maßnahmen sind zur besseren Übersicht in Kategorien gruppiert, die der gleichen Art angehören oder den gleichen Zweck verfolgen. Zu jeder Maßnahme sind diverse Zusatzinformationen gegeben, die für den Planenden von Relevanz sein können. Jede Maßnahme wird als erstes über eine Kurzbeschreibung definiert bzw. beschrieben. Es folgen Wirkungsbeschreibungen, die den Planenden bei der Argumentation der Maßnahme (bspw. im Begründungsteil des Bebauungsplans) behilflich sein können. Wenn vorhanden, sind konkrete Zahlen oder Berechnungsansätze zur Wirkungsabschätzung gegeben. Es folgen Informationen u.a. zum Planbezug, die Einschätzung der Eignung der Maßnahmen in bestimmten Stadtstrukturtypen, Einschätzungen zu Kosten und Flächenbedarf, der Verwendung im Bestand versus Neubau, sowie Hinweise zu weiterführender Literatur. Alle Maßnahmen sowie Zusatzinformationen sind bereits veröffentlichten Leitfäden und Berichten entnommen, es handelt sich hier also um ein Reviewbeitrag ohne spezifischen Projektbezug. Die Kategorisierung der Maßnahmen, sowie die Einschätzung ihrer Eignung für den Bestand versus Neubau erfolgte durch die Autorinnen. Ihre Eignung für ein Monitoring mittels Fernerkundung erfolgte durch das IPF des KIT. Dies ist die erste Auflage dieser Maßnahmensammlung. Einige Felder haben noch keine Informationen, oder können ggf. durch die Praxis anders eingeschätzt werden. Sobald genügend neue Informationen vorliegen bzw. der jetzige Stand umfassend überarbeitet wurde, wird die Tabelle als neue Auflage erneut veröffentlicht werden. Falls Sie hierzu Anmerkungen haben, eine überarbeitbare Fassung der Tabellen wünschen oder weitere Informationen integrieren möchten, wenden Sie sich bitte an: denise.boehnke@kit.edu
Cities and municipalities are faced with the challenging task of adapting their communities to the expected consequences of climate change. Significantly higher summer temperatures, a climatic change from the previously very frequent and regular land rainfall in summer to weeks of drought, and an increase in individual heavy rainfall events whose water masses cannot be compensated by the existing structure - these are very likely consequences that today's planning must address. Local authorities are therefore faced with the challenging task of integrating climate adaptation concerns into their planning in the best possible way. A large number of German guidelines on municipal climate adaptation are available for this purpose. The disadvantage of this diversity, however, is the amount of time required to gain an overview of the various topics. Without relating to specific projects, the tables presented here are an attempt to summarise the existing variety of specific measures for municipal climate adaptation and the available knowledge on the individual measures. (publication in german language)
Falls Sie hierzu Anmerkungen haben, eine überarbeitbare Fassung der Tabellen wünschen oder weitere Informationen integrieren möchten, wenden Sie sich bitte an: denise.boehnke@kit.edu
Maßnahmensammlung zur kommunalen Klimaanpassung
Each folder contains a stack of images showing the elemental distribution for all the elements used in sample characterization. Another file, "mux.tiff," is also included for absorbance and thickness studies.
proton exchange membrane water electrolysis
Elemental Distribution in Catalyst-Coated Membranes of PEM Water Electrolysers Tracked by Synchrotron X-ray Fluorescence - Fe2+ contaminated CCM
Karlsruhe Nano Micro Facility (KNMF), Karlsruher Institut für Technologie (KIT), Institut für QuantenMaterialien und Technologien (IQMT), Karlsruher Institut für Technologie (KIT)
The data (extracted from a LabVIEW program) are provided as an originPro file. Each figure of the main text corresponds to a different folder.
Elastoresistivity in the incommensurate charge density wave phase of BaNi₂(As₁₋ₓPₓ)₂
Physikalisches Institut (PHI), Karlsruher Institut für Technologie (KIT)
Data of the magnetization, anomalous Hall effect, and anomalous Nernst effect measured on a Mn5Si3 single crystal.
Anomalous Nernst effect in the noncollinear antiferromagnet Mn5Si3
Institut für Industriebetriebslehre und Industrielle Produktion (IIP), Karlsruher Institut für Technologie (KIT)
This is the dataset for a paper that analyses the use of imitation learning for controlling heat pumps. The dataset includes the input time series data used in the simulations. Further, we added the experiments' outcomes and resulting load profiles to the dataset. There is a txt file in each main folder with the name "Information" that describes the data in more detail.
Input and result data for the paper "Imitation learning with artificial neural networks for demand response with a heuristic control approach for heat pumps"
The data comprise the composition-dependent ice-active fractions (f_ice) in the ammonium sulfate-letovicite-ammonium bisulfate (AS-LET-AHS) system, measured with the AIDA cloud chamber and the two continuous flow diffusion chambers (CDFCs) INKA and mINKA. The provided zip-file contains the two directories "Fig6" and "Fig7" and the additional text file “info.txt”, which explains the contents of the directories and the syntax of the file names. All data tables can be opened in standard text editors or imported in spreadsheet programs like Microsoft Excel. The data are separated by tabs as a delimiter.
Data sets for the research article "Influence of the neutralization degree on the ice nucleation ability of ammoniated sulfate particles" by Bertozzi et al. (2024) in the Journal of Geophysical Research (Atmospheres)
Institut für Nanotechnologie, Technische Universität Darmstadt
The data can be opened and processed through Velox and DigitalMicrograph.
The Impact of Microstructure on the Filament Growth at the Sodium Metal Anode in All Solid-State Sodium Batteries
The gearbox housing is one of the main components of an electric vehicle which has an influence on the NVH behaviour of the gearbox and overall vehicle, especially in the context of e-mobility. Vibrations inside the gearbox are mainly excited at the gear mesh and then transmitted to the housing through shafts and bearings, where it is radiated as air-borne noise. Because of the importance of reducing the weight of electric vehicles, housing structures are often target of lightweight design measures, which, in turn, often lead to worsened NVH behaviour. In this paper, the effects of different lightweight design measures on the vibrational behaviour of a gearbox housing are evaluated by numerical simulations. Firstly, the basic model (without lightweight design) has been simulated numerically in a commercial finite element software to extract the natural frequencies, mode shapes and frequency response functions for specific points of interest. These results have been verified by the measurement using 3D laser scanning vibrometer. Then, multiple variants of the electric vehicle gearbox housing are created in CAD and numerically simulated with different lightweight design. The results of the modal analysis provide valuable insights on the vibrational behaviour due to lightweight design measures.
daga_230216_original_acc: for the original version 230220_daga_7_1 : for version 'a' in the paper daga_2023_rib_1_8_e7700_damp003: for the version 'b' in the paper 230220_daga_9_1: for the version 'c' in the paper daga_230215_thickness: for the version case 2 in the paper 230215_withoutribs: for the version case 1 in the paper
Numerical study of noise and vibration behaviour of lightweight gearbox housing
Processed micro-tomographic scan of the ant Strumigenys aff trudifera, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cataglyphis bombycina, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Lasius umbratus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
1. Regression coefficients of a parametrisation of the natural atmospheric variability as function of distance and time separation for the atmospheric trace gases: BrO, BrONO2, CH3CL, HNO3, N2O5, CCl4, CFC11, CFC113, CFC12, CH4, ClO, ClONO2, CO, CO2, H2O, HBr, HCl, HF, HNO4, HO2, HOBr, HOCl, N2O, NO, NO2, NO3, O3, OH, and temperature, calculated on BASCOE model data for ESA VACUUM'R Project. 2. Software for reparametrisation of natural atmospheric variability on latitudinal gradients. The software takes as input the species name (among 30 available), the distance and time mismatch chosen, the latitude band, the value of latitudinal gradients of user's data and the height. As an output the user obtains a value of the natural variability of the gas at altitude and latitude band given, for the chosen distance/time mismatch.
Regression coefficients archive: The name of the file indicates if the coefficients stored are for natural variability as function of time or distance. The variability is expressed in percents. The coefficients are given from 90S to 90N in 18 latitude bands of 10 degree width, and for 46 altitudes from 15 to 60 km. Reparametrisation software archive: This is an IDL source code, and auxiliary data are in idlsave format. If a validation study is perfomed in latitude domain larger than 10 degrees, the values in correspoding 10-degree bands should be added quadratically.
Regression Coefficients of parametrisation of function of natural atmospheric variability and reparametrization on latitudinal gradients software
There are 15 matlab data files in this folder. Matlab files titled "2D_vars_<simulation_name>_CCN" are 2D variables on an unprocessed grid Matlab files tiled "3D_CRH_vars_<simulation_name>_CCN.mat" are 3D variables averaged on CRH blocks via the second block averaging method (see Sec 3 of paper for description) Matlab files tiled "3D_CRH_vars_<simulation_name>_CCN_default_block_averaging.mat" are 3D variables averaged on CRH blocks via the traditional (Bretherton et al.,2005) block averaging method
Processed micro-tomographic scan of the ant Temnothorax ravouxi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Nylanderia sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Monomorium chinense, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Myrmicaria sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Labidus mars, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Instructions: The scripts inside the subfolders are intended to reproduce the figures from the preprint> Rank-adaptive dynamical low-rank integrators for first-order and second-order matrix differential equations by Marlis Hochbruck, Markus Neher, and Stefan Schrammer Requirements The codes are tested with Ubuntu 20.04.2 LTS and Python 3.8.5 and the following version of its modules: numpy 1.19.2 scipy 1.5.2 numba 0.51.2 colorama 0.4.4 h5py 2.10.0 matplotlib 3.3.2 tikzplotlib 0.9.6 Generation of figures (tikz files containing the data are also created) In the folder fracginz open a console and run the commands 1. to create the data for Figures (1) and (2) python3 fgl.py 2. to create Figures (1) and (2) python3 fgl_results.py In the folder fracschr open a console and run the commands 3. to create the data for Figure (3) python3 fsr.py 4. to create Figure (3) python3 fsr_results.py In the folder laserplasma open a console and run the commands 5. to create the data for Figures (4) and (5) python3 lpi.py 6. to create Figures (4) and (5) python3 lpi_globalerr.py python3 lpi_svals_maxint.py In the folder sineg open a console and run the commands 7. to create the data for Figures (6) and (7) python3 sineg.py 8. to create Figures (6) and (7) python3 sineg_globalerr_ranks.py If the reference solutions shall be recomputed, uncomment the line methods.append(...) at the beginning of the scripts fgl.py, fsr.py, lpi.py, and sineg.py, respectively.
Numerical experiments to "Rank-adaptive dynamical low-rank integrators for first-order and second-order matrix differential equations"
Processed micro-tomographic scan of the ant Stigmatomma silvestrii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Myrmicinae sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The Reynolds number dependent flow resistance of heterogeneous rough surfaces is largely unknown at present. The present work provides novel reference data for spanwise-alternating sandpaper strips as one idealized case of a heterogeneous rough surface. Experimental data are presented and analysed in direct comparison with drag measurements of homogeneous sandpaper surfaces and numerical simulations. Based on the homogeneous roughness data the related challenges and sensitivities for the evaluation of roughness functions from experiments and simulations are discussed. A hydraulic channel height is suggested as an alternative measure for the drag impact of rough surfaces in internal flows. For the investigated heterogeneous roughness it is found that turbulent flow does not exhibit a fully-rough flow behaviour, indicating that the assignment of an equivalent sand grain height as commonly applied for homogeneous roughness is not possible. A prediction of the drag behaviour of rough strips based on an average between rough and smooth drag curves appears promising, but requires further refinement in order to capture the impact of turbulent secondary flows and spatial transients linking smooth and rough surface parts. While turbulent secondary flow induced by the roughness strips yield significant spanwise variation of the mean velocity profile for the investigated rough strips we show that the spanwise averaged velocity profiles collapse reasonably well with a smooth or homogeneous rough wall flow. This allows to extract a global roughness function from the spanwise averaged flow field in good agreement with the one deduced from global pressure drop measurements.
Database: Flow resistance over heterogeneous roughness made of spanwise-alternating sandpaper strips This database provides the data presented in the manuscript "Flow resistance over heterogeneous roughness made of spanwise-alternating sandpaper strips". The database encompasses both experimental and numerical data pertaining to homogeneous and heterogeneous irregular roughness. To better understand the naming convention used in this database, we kindly direct readers to the associated publication for further details.
Flow resistance over heterogeneous roughness made of spanwise-alternating sandpaper strips
Processed micro-tomographic scan of the ant Tetramorium aculeatum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Strumigenys minutula, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Platythyrea punctata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains FAIR records which describe the tribological experiment Copper under Variable Normal Load #0042, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Variable Normal Load n0042 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Jorge Sanchez, Antoine Amsaleg, Axel Loewe
In silico experiments to study the sinoatrial node characteristics. The experiment script is able to modify several electrophysiological parameters using as an input a vtk file.
In Silico Characterization of the Sinoatrial Node (v2.0)
Processed micro-tomographic scan of the ant Apterostigma megacephala, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Mycocepurus goeldii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant 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 Brachymyrmex patagonis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant OUTGROUP_Ichneumonidae sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Optimized geometries of molecules and complexes, example of ORCA-input file, detailed experimental data and description of experimental setup.
Computational Ferrocene Electrode Cyclic Voltammetry DFT Marcus-Hush Theory N-formylpyrrolidine Shono Oxidation
The electrochemical Shono oxidation of N-formylpyrrolidin: Mechanistic insights from the computational ferrocene electrode model and cyclic voltammetry: SI
Processed micro-tomographic scan of the ant Solenopsis afrc-zm02, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Aphaenogaster concolor, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Technomyrmex sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Bothriomyrmex meridionalis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Nesomyrmex tamatavensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Bundesministerium für Digitales und Verkehr
Die dieser Veröffentlichung zugrunde liegenden Arbeiten wurden im Auftrag des Bundesministers für Digitales und Verkehr unter FE-Nr. VB600002 durchgeführt. Die Verantwortung für den Inhalt liegt ausschließlich beim Autor.
Deutsches Mobilitätspanel (MOP) - Statistiken zur Alltagsmobilität sowie zu Fahrleistung und Kraftstoffverbrauch 2013 - 2022
1 Inverse vulcanization of styrylsilanes.zip
Processed micro-tomographic scan of the ant Tetraponera allaborans, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Neoponera crenata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Plagiolepis pygmea, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pachycondyla striata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Ponera takaminei, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Mystrium oberthueri, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Oxyopomyrmex saulcyi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pheidole pallidula, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Monomorium intrudens, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Paratrechina longicornis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This data set contains all benchmark sets used in the dissertation of Sebastian Schlag. The zip archive contains a dedicated README file for each benchmark set.
This data set contains all benchmark sets used in the dissertation of Sebastian Schlag.
Benchmark Sets used in the Dissertation of Sebastian Schlag
Processed micro-tomographic scan of the ant Cardiocondyla venustula (badonei form), scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant 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.
This dataset contains FAIR records which describe the tribological experiment Copper under Variable Normal Load #0005, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Variable Normal Load n0005 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Data are stored with Matlab codes producing the figures in the manuscript. In other cases, data are stored in the format of the origin lab software. Labels and comments are given in the header of the origin worksheets.
Electron-phonon coupling, i.e., the scattering of lattice vibrations by electrons and vice versa, is ubiquitous in solids and can lead to emergent ground states such as superconductivity and charge-density wave order. A broad spectral phonon line shape is often interpreted as a marker of strong electron-phonon coupling associated with Fermi surface nesting, i.e., parallel sections of the Fermi surface connected by the phonon momentum. Alternatively broad phonons are known to arise from strong atomic lattice anharmonicity. Here, we show that strong phonon broadening can occur in the absence of both Fermi surface nesting and lattice anharmonicity, if electron-phonon coupling is strongly enhanced for specific values of electron-momentum, k. We use inelastic neutron scattering, soft x-ray angle-resolved photoemission spectroscopy measurements and ab-initio lattice dynamical and electronic band structure calculations to demonstrate this scenario in the highly anisotropic tetragonal electron-phonon superconductor YNi$_2$B$_2$C. This new scenario likely applies to a wide range of compounds.
Electron-momentum dependence of electron-phonon coupling underlies dramatic phonon renormalization in YNi2B2C
Raw data behind the publication with the title "Tribologically induced crystal rotation kinematics revealed by electron backscatter diffraction". Contains EBSD data, friction data, secondary electron microscopy images as well as optical topography data.
Raw data to the paper "Tribologically induced crystal rotation kinematics revealed by electron backscatter diffraction"
Processed micro-tomographic scan of the ant Crematogaster evallans, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Rogeria cf belti, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Axinidris acholli, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Aphaenogaster sardoa, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Der Algorithmus ist mit MATLAB (Version 2019A) programmiert. Es liegt eine Dokumentation des Algorithmus, eine Anleitung zur Benutzung sowie Beispieldaten bei. The algorithm is programmed with MATLAB (version 2019A). A documentation of the algorithm, a manual on how to use it, and sample data are included.
Für die Gestaltung von Holzschrauben ist der Zusammenhang zwischen der Gestalt des Gewindes und der Funktion Tragfähigkeit besonders wichtig. Dies erfordert eine objektive Analyse des Versagens. Mit diesem Algorithmus wird eine objektive Analyse der Rissbildung von Holz in Holzschraubenverbindungen unter Verwendung von Bildverarbeitung möglich. Bewertungsgrößen sind hierbei die Risslänge und Rissbreite.
For the design of wood screws, the relationship between the thread parameters and the function withdrawal capacity is important. For this purpose, the objective analysis of the failure behavior is necessary. With this algorithm an objective analysis of the cracks of wood in wood screw connections using image processing becomes possible. Evaluation parameters are the crack length and crack width.
Algorithmus zur objektiven Analyse des Einflusses von Gewindeparametern von Holzschrauben auf die Rissbildung - Algorithm for an objective analysis of the influence of thread parameters of wood screws on crack formation
Processed micro-tomographic scan of the ant Hylomyrma cf blandiens, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Eurhopalothrix sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Entrepreneurship, Technologiemanagement und Innovation (ENTECHNON), Karlsruher Institut für Technologie (KIT)
These teaching materials, which can be used and adapted for an approx. 1,5h workshop, were created as part of the project “StartUPsGEno: Development of a teaching and consulting module for startups to evaluate the legal form of a cooperative,” funded by the GENO Foundation WissenSchafftPartner of the Baden-Württemberg Cooperative Association. The aim of the project was to develop, implement, and evaluate a specialized consulting module that supports startups and students in assessing and learning about the suitability of the legal form of a cooperative for their business model. The project aimed to offer effective consulting and decision-making support and to test modules in teaching in order to make it easier for founders and those interested in founding a company to choose the appropriate legal form.
Diese Lehrunterlagen, die für einen ca. 1,5h Workshop verwendet und angepasst werden können, wurden erstellt im Rahmen des Projekts „StartUPsGEno: Entwicklung eines Lehr- und Beratungsmoduls für Startups zur Evaluierung der Rechtsform Genossenschaft“, gefördert durch die GENO-Stiftung WissenSchafftPartner des Baden-Württembergischen Genossenschaftsverbands. Ziel des Projektes war die Entwicklung, Implementierung und Evaluierung eines spezialisierten Beratungsmoduls, das Startups und Studierende dabei unterstützt, die Eignung der Rechtsform der Genossenschaft für ihr Geschäftsmodell zu bewerten bzw. kennenzulernen. Das Projekt zielte darauf ab, effektive Beratung und Entscheidungshilfen anzubieten und Module in der Lehre zu testen, um Gründern und Gründungsinteressierten die Wahl der geeigneten Rechtsform zu erleichtern.
Sie können diese Präsentation gerne kopieren, verwenden und nach Ihren Bedürfnissen verändern. Bitte beachten Sie die folgende Creative-Commons-Lizenz, unter der wir dieses Material veröffentlichen. Attribution-ShareAlike 4.0 International: Sie dürfen das Material in jedem Medium oder Format und für jeden Zweck, auch kommerziell, kopieren, weitergeben, anpassen, umgestalten und umwandeln. Sie müssen eine angemessene Quellenangabe machen, einen Link zur Lizenz bereitstellen und angeben, ob Änderungen vorgenommen wurden. Außerdem müssen Sie Ihre Beiträge unter der gleichen Lizenz wie das Original verbreiten. Bitte beachten: Teile des Inhalts basieren auf F. Lüdeke-Freund, H. Breuer & L. Massa (2023). Sustainable Business Model Design. Source: www.sustainablebusiness.design. Dieser Inhalt ist auch lizenziert unter CCBYSA. Bitte beachten Sie die Hinweise auf den jeweiligen Folien und zitieren Sie den Inhalt entsprechend.
Geschäftsmodelle mit Wirkung - Workshopunterlagen
Reconstructed ptychographic X-ray computed tomography data set acquired at Diamond Light Source, instrument I13-1 (proposal MG24079-1) of the activated mesoporous sample Ni/Al$_{2}$O$_{3}$-ma. The data set is part of an artificial coking study of nickel based catalysts, which were investigated by ptychographic X-ray computed tomography. Detailed information regarding sample preparation and experimental conditions are available in the respective publication and electronic supplementary information.
Reconstructed ptychographic X-ray computed tomography data of an activated mesoporous Ni/Al$_{2}$O$_{3}$ catalyst
This survey data was collected from software development (SD) organizations based in the United States and Germany. The survey methodology allows us to collect a larger cross-sectional dataset from practitioners, which was required to test our mediation hypotheses. A research project description explaining the purpose and expected outcomes of the study was sent to 16 software firms through the network of an applied research institute. Ten firms agreed to participate in the study. A customized survey link was sent to a senior executive (e.g., CEO or CIO) in each participating firm via email. The survey was forwarded to a total of 364 SD project managers and members. To reduce the bias related to retrospective data, we defined valid respondents as those who completed at least one SD project in the respective firm within the past 12 months. After removing invalid and incomplete responses, we retained 214 usable responses from 104 SD projects, resulting in a response rate of 55.2%
A data set of 104 software development projects – an investigation on process ambidexterity and project performance
Simulated concentration data for birch pollen, birch SPP and hydrometeors and atmospheric variable (Part 8)
Institut für Katalyseforschung und -technologie (IKFT), Karlsruher Institut für Technologie (KIT), Institut für Technische Chemie und Polymerchemie (ITCP), Karlsruher Institut für Technologie (KIT)
Raw data relevant for the publication: "Novel and more facile synthesis of highly dispersed iron in small-pore zeolites by ion exchange for catalytic applications"
Novel and more facile synthesis of highly dispersed iron in small-pore zeolites by ion exchange for catalytic applications - raw data
Ein Normierungsversuch für die Hauptschule
Es wurden 363 Schüler einer (ländlichen) Hauptschule dem COOPER-Test unterzogen. Gemäß statistischer Analyse (Varianzanalyse) nimmt lediglich die unabhängige Variable "Geschlecht" signifikanten Einfluß auf die abhängige Variable "Laufleistung im COOPER-Test" (p = 0,000). Im Durchschnitt aller Altersstufen zwischen (10) 11 und 17 (18) Jahren beträgt die Differenz zwischen der mittleren Laufleistung der Mädchen und der Jungen 344,3 m. Die für die Jungen (regressionsanalytisch) ermittelte Steig(er)ung beträgt lediglich ca. 5,1 m, die der Mädchen sinkt um fast 23 m pro Lebensjahr. Zwar erzielen etwas mehr als zwei Drittel beider Subpopulationen bei der Bewertung der Laufleistung anhand der Normwerte Noten zwischen "ausreichend" und "sehr gut", wobei nur 5,4 % der Mädchen die beiden oberen Notenstufen erreichen, jedoch fast ein Drittel der Jungen und Mädchen (31,7 % bzw. 32,4 %) schreibt "rote Zahlen" hinsichtlich der Ausdauerleistungsfähigkeit - ein besorgniserregendes Ergebnis. Verl.-Referat.
Motorik Daten wurden mittels DKT (Dordel Koch Test) erhoben. Der 3-minuten-Lauf ist ein "halber 6-Minuten-Lauf" mit den selben Regeln, nur 3 Minuten lang, statt 6. Erfasst wurde objektiv (Anthropometrie, wie auch Motorik) vor Ort durch geschultes Personal Diese Daten sind Baseline-Daten (uninterventiert) einer longitudinalen Messung
Komm mit in das gesunde Boot (Kindergarten)
Data related to: “Volatility of secondary organic aerosol from β-caryophyllene ozonolysis between 213-313 K” by Gao et al., Environ. Sci. & Technol., 2023. 1. Excel file “Data_manuscript_Gao_EST_2023” includes: Figure 1. Mass spectra and sum thermogram of SOA at 213 K - 313 K. Notes: Mass spectra are reprinted with permission under the terms of the Creative Commons Attribution 4.0 License1. Copyright 2022 L. Gao. (KITopen-ID: 1000144632). Figure 2. Fixed-peak gaussian fit for C15H24O3I- at the 213 K, 243 K, 273 K, and 298 K. Notes: The 6-peak gaussian fitting is done using a home made code in MATLAB2018b. The relative fitting error is 1.4%, 2.0%, 1.4%, and 20.1% for SOA213K, SOA243K, SOA273K and SOA298K, respectively. Figure 3. Factor contribution to β-caryophyllene SOA at five formation temperatures. Figure 4. One-dimensional volatility basis set (1D-VBS) based on the volatility calibration and formula method for SOA formed at temperatures (from top to bottom) of 213 K - 313 K. Notes: The estimation of volatility (log10C* at 298 K, log10Csat at 298 K) can be found in the Experimental Section in the manuscript. Table 1. Summary on the average molecule formula, molecular weight (MW), O:C, OSC, and Tmax of 12 PMF factors. Notes: The error of the 12-factor PMF solution can be found in Figure S7 in the supplement. 2. Excel file “Data_supplement_Gao_EST_2023” includes: Figure S1. Correlation between temperatures of maximum desorption (Tmax) and the known saturation vapor pressures (VP) of seven carboxylic acids. Figure S2. Van-Krevelen diagram for β-caryophyllene-dereived particles during the SOA generation period at all temperatures from HR-AMS measurements. Figure S3. Comparison of O:C ratio, H:C ratio, and OSC of SOA particles formed at 213 K - 313 K between the measurements from HR-AMS and FIGAERO-CIMS. Figure S4. The contribution of C15H24O3 in both gas and particle phases for all SOA formation temperatures. Figure S5. A 12-factor PMF solution for β-caryophyllene SOA particles at five temperatures. Figure S6. Q/Qexp values for the varying number of factors in PMF solutions, and varying fpeak in a 12-factor PMF solution. Figure S7. Residual, relative residual, and Q/Qexp change for all samples when varying the number of factors and fpeak values. Figure S8. One-dimension volatility basis set (1D-VBS) based on the formula method for monomers, dimers, and trimers in the SOA particles formed at 213 K – 313 K. Table S1. Compilation of experimental conditions, concentration of β-caryophyllene and O3. Note: This table is reprinted with permission under the terms of the Creative Commons Attribution 4.0 CC BY License1. Copyright 2022 L. Gao. (KITopen-ID: 1000144632). Table S2. Compounds used for the volatility calibration and saturation vapor pressures from literature. Table S3. Compilation of O:C ratios, H:C ratios, OSC, derived from FIGAERO-CIMS measurements and the Tmax of sum thermograms.
We investigated secondary organic aerosol (SOA) from β-caryophyllene oxidation generated over 213-313 K from ozonolysis. Positive matrix factorization (PMF) was used to deconvolute the desorption data (thermograms) of SOA products detected by a chemical ionization mass spectrometer (FIGAERO-CIMS). A non-monotonic dependence of particle volatility (saturation concentration at 298 K, C_298K^*) on formation temperature (213-313 K) was observed, primarily due to temperature-dependent formation pathways of β-caryophyllene oxidation products. The PMF analysis grouped detected ions into 11 compound groups (factors) with characteristic volatility. These compound groups act as indicators for the underlying SOA formation mechanisms. Their different temperature response revealed that the relevant chemical pathways (e.g., autoxidation, oligomer formation, and isomer formation) had distinct optimal temperatures between 213–313 K, significantly beyond the effect of temperature-dependent partitioning. Furthermore, PMF-resolved volatility groups were compared with volatility basis set (VBS) distributions based on different vapor pressure estimation methods. The variation of the volatilities predicted by different methods is affected by highly oxidation oxygenated molecules, isomers and thermal decomposition of oligomers with long carbon chains. This work distinguishes multiple isomers and identifies compound groups of varying volatility, providing new insights into the temperature-dependent formation mechanisms of β-caryophyllene-derived SOA particles.
Volatility of secondary organic aerosol particles from beta-caryophyllene
Volatility of secondary organic aerosol from β-caryophyllene ozonolysis between 213-313 K
DAMAST-KIT-Spartak: Structural Core Analysis
Karlrsruhe Institute of Technology; Institute of Biological and Chemical Systems – Functional Molecular Systems
Heidelberg University; Institute of Organic Chemistry, Centre for Advanced Materials. Karlrsruhe Institute of Technology; Institute of Nanotechnology
Karlrsruhe Institute of Technology; Institute of Nanotechnology
Karlrsruhe Institute of Technology; Inst. of Functional Interfaces, Karlsruhe Nano Micro Facility
Material-Independent 3D Patterning Via Two-Photon Lithography and Discontinuous Wetting
Python code was used to evaluate the pore diameter and lamellae width of the biocatalytic foams from fluorescence microscopy images.
Pythoncode used in: "Harnessing non-covalent protein-protein interaction domains for production of biocatalytic materials systems"
Processed micro-tomographic scan of the ant Cardiocondyla emeryi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Acromyrmex coronatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tetramorium lanuginosum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Rogeria cf blanda, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
3D PRINTING OF POROUS POLYMERS via THIOL-ENE POLYMERIZATION_Fatma_Aslan
Processed micro-tomographic scan of the ant Gnamptogenys horni, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Leptogenys sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Gigantiops destructor, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Gnamptogenys striatula, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Dilobocondyla fouqueti, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This experiment offers the possibility to simulate the extended sinoatrial node cell models of Severi et al. (2012) and Fabbri et al. (2017) with several [Ca2+]o and [ISO]. The extension of the AC-cAMP-PKA signalling cascade is based on the work of Behar et al. (2016) and described by Linder et al. (2025).
Sympathetic Stimulation Can Compensate for Hypocalcaemia-Induced Bradycardia in Human and Rabbit Sinoatrial Node Cells (v2.0)
Processed micro-tomographic scan of the ant Melissotarsus FHG02, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Myopias sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Lasius sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
PSC volume density profiles retrieved from single MIPAS/Envisat limb scans. Two profiles are provided, 0: retrieved with assumption of 3um radius particles, 1: retrieved with assumption of 0.2um radius particles. These profiles are min/max limits for the volume densities with res1 < 5-10 um3 cm-3. For STS, profiles res1 are best suited. Profiles with res1 > 5-10 um3 cm-3 contain ice and in this case the real volume densities may be even larger.CAUTION: at 26 km and 28 km, retrieval instabilities may be present in case of thick ice PSCs below. For more information, see article: The MIPAS/Envisat climatology (2002–2012) of polar stratospheric cloud (PSC) volume density profiles, M. Hoepfner, T. Deshler, M. Pitts, L. Poole, R. Spang, G. Stiller, T. v. Clarmann, Atmos. Meas. Tech., 2018, https://doi.org/10.5194/amt-2018-163
A global data set of vertical profiles of polar stratospheric cloud (PSC) volume density has been derived from Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) space-borne infrared limb measurements between 2002 and 2012. To develop a well characterized and efficient retrieval scheme, systematic tests based on limb-radiance simulations for PSCs from in-situ balloon observations have been performed . The finally selected wavenumber range was 831–832.5 cm-1. Optical constants of nitric acid trihydrate (NAT) have been used to derive maximum and minimum profiles of volume density which are compatible with MIPAS observations under the assumption of small, non-scattering and larger, scattering PSC particles. These max/min profiles deviate from their mean value at each altitude by about 40-45%, which is attributed as the maximum systematic error of the retrieval. Further, the retrieved volume density profiles are characterized by a random error due to instrumental noise of 0.02–0.05 μm3cm-3, a detection limit of about 0.1–0.2 μm3cm-3 and a vertical resolution of around 3 km. Comparisons with co-incident observations by the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) on the CALIPSO (Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations) satellite showed good agreement regarding the vertical profile shape. Quantitatively, in the case of supercooled ternary solution (STS) PSCs, the CALIOP dataset fits to the MIPAS retrievals obtained under the assumptions of small particles. Unlike for STS and NAT, in the case of ice PSCs the MIPAS retrievals are limited by the clouds becoming optically thick in the limb-direction. In these cases, the MIPAS volume densities represent lower limits. Among other interesting features, this climatology helps to study quantitatively the on-set of PSC formation very near to the South Pole and the large variability of the PSC volume densities between different Arctic stratospheric winters.
Michelson Interferometer for Passive Atmospheric sounding
The MIPAS/Envisat climatology (2002–2012) of polar stratospheric cloud (PSC) volume density profiles
Processed micro-tomographic scan of the ant Diplomorium longipenne, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pseudoponera stigma, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Formica lemani, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This data belongs to the contribution: "Experimental Testing Approaches in Engineering Design – Investigating the Exploration of Relations of Embodiment and Function in a Student Project" Grauberger, P.; Voß, K.; Matthiesen, P. Respecting Data Protection & Privacy, it is not possible to provide the original .json-files exported from trello.com. + The .py-file contains the Python-Skript to extract the documentation into an .csv-file. + The .pdf-file contains the printed Python-Skript. + The .xlsx-file shows the raw data extracted from the .json-files by the Pythonscript. The python script exports a .csv-file that is converted to an .xlsx-file during processing due to layout. + The .sav-file shows identical data as in the .xlsx-file but imported into SPSS + The .spv-file displays the statiscal evaluation derived from the .sav-file.
Research data: Experimental Testing Approaches in Engineering Design – Investigating the Exploration of Relations of Embodiment and Function in a Student Project
Processed micro-tomographic scan of the ant Crematogaster quadriruga, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Rhopalomastix sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Angewandte Geowissenschaften (AGW), Karlsruher Institut für Technologie (KIT)
Research data to the dissertation Characterization of reservoir quality and supply chains for critical raw materials
Job monitoring data in the csv format. Each line corresponds to a distinct job execution and contains its characteristic quantities.
Job monitoring data for Modelling of Large-Scale Distributed Computing Systems
Processed micro-tomographic scan of the ant Temnothorax OK01, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Seven systems are treated in the manuscript sections 3.1 - 3.8. The simulations for sections 3.1 - 3.7 are implemented in Julia (available at https://julialang.org/), the simulation for section 3.8 uses a modification of the Matlab toolbox SSMTool-2.1 (available at https://github.com/haller-group/SSMTool-2.1). To execute the Julia code, setup Julia and a suitable editor (e.g. VSCode, https://www.julia-vscode.org/); the implementation was performed in Julia version 1.7.2. Before any of the .jl-files can be executed for the first time, the necessary packages must be downloaded. For this, press "]" (without quotation marks) in the Julia REPL to enter the package manager, then execute the following commands: add LinearAlgebra add Combinatorics add SparseArrays add DifferentialEquations add Optim add JuMP add Ipopt add NLsolve add Plots add PyPlot add PlotlyJS add TaylorSeries add LaTeXStrings To execute the Matlab code, install Matlab (commercial license required); the implementation was performed in Matlab version R2021b. At the beginning of every Matlab session (after you open Matlab), navigate to the subfolder "External\SSMTool-2.1-master" and run the script "install.m". To run the original system by Jain and Haller (2021), navigate to the subfolder "External\SSMTool-2.1-master\examples\vonKarmanBeam" and run the Workbook "vonKarmanBeamWorkbook.mlx". (Note that none of the other examples contained in SSMTool-2.1 (available at https://github.com/haller-group/SSMTool-2.1) is included in this reference of the code.) To run the modified system as discussed in our manuscript (increased forcing amplitude, modified coefficients), navigate to the subfolder "External\SSMTool-2.1-master\examples\vonKarmanBeam_Modified" and run the Workbook "vonKarmanBeamWorkbook_Modified.mlx". (Note that the runtime may be several hours due to the reference result calculated via continuation with coco.) The modified coefficients are stored in the file \External\SSMTool-2.1-master\examples\vonKarmanBeam_Modified\Alternative_Parametrization\Coefficients\SSM_Coeffs_von_Karman_10EL_Modified.mat which is loaded by the simulation script "vonKarmanBeamWorkbook_Modified.mlx".
This code contains all implementations to produce the results for the following manuscript: A. K. Stoychev, U. J. Römer, "Failing Parametrizations: What can go Wrong when Approximating Spectral Submanifolds", Nonlinear Dynamics 111, 5963-6000 (2023), doi: 10.1007/s11071-022-08154-3 Refer to the file "Code_Failing_Parametrizations_final.zip" for all files and a readme. A preliminary version of the code that was prepared for the preprint with the same title is also available.
Failing Parametrizations: Julia and Matlab Code
Processed micro-tomographic scan of the ant Mycetagroicus inflatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Leptogenys unistimulosa, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant 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 Manica yessensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tetramorium metactum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pseudomyrmex ejectus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Rossomyrmex quandratinodum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Dolichoderus bispinosus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tetramorium hispidum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pheidole cavifrons, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains FAIR records which describe the tribological experiment Copper under Constant Normal Load #0011, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0011 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Processed micro-tomographic scan of the ant Acanthoponera sp n, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Aenictus paradentatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Ice crystal formation in mixed-phase clouds is initiated by specific aerosol particles, termed ice-nucleating particles (INPs). Only a tiny fraction of all aerosol particles are INPs, providing a challenge for contemporary INP measurement techniques. Models have shown that the presence of INPs in clouds can impact their radiative properties and induce precipitation formation. However, for a qualified implementation of INPs in models, measurement techniques able to accurately detect the temperature-dependent INP concentration are needed. Here we present measurements of INP concentrations in ambient air under conditions relevant to mixed-phase clouds from a total of ten INP methods over two weeks in October 2018 at the Puy de Dôme observatory in central France. A special focus in this intercomparison campaign was placed on having overlapping sampling periods. Although a variety of different measurement principles were used, the majority of the data show INP concentrations within a factor of 5 of one another, demonstrating the suitability of the instruments to derive model-relevant INP data. Lower values of comparability are likely due to instrument-specific features such as aerosol lamina spreading in continuous-flow diffusion chambers, demonstrating the need to account for such phenomena when interpreting INP concentration data from online instruments. Moreover, consistently higher INP concentrations were observed from aerosol filters collected on the rooftop at the Puy de Dôme station without the use of an aerosol inlet.
Ice-nucleating particle concentration measurements from two continuous flow diffusion chambers (CFDC; Colorado State University-Continuous Flow Diffusion Chamber, CSU-CFDC; Spectrometer for Ice Nuclei, SPIN) and an expansion chamber (Portable Ice Nucleation Experiment, PINE) and seven offline freezing techniques using water suspensions of filter-collected particles sampled (FRankfurt Ice Nuclei Deposition FreezinG Experiment, FRIDGE; Ice Nucleation Droplet Array, INDA; Ice Nucleation Spectrometer of the Karlsruhe Institute of Technology, INSEKT; Ice Spectrometer, IS; Leipzig Ice Nucleation Array, LINA; LED based Ice Nucleation Detection Apparatus LINDA; Micro-Orifice Uniform Deposit Impactor–Droplet Freezing Technique, UNAM-MOUDI-DFT).
The Puy de Dôme ICe Nucleation Intercomparison Campaign (PICNIC): Comparison between online and offline methods in ambient air
Bei diesem Dokument handelt es sich um Forschungsdaten, die im Rahmen der Dissertation "Akzeptanz und Versicherbarkeit autonom fahrender Automobile - Ein Weg in eine unfallfreie Zukunft" (Veröffentlichung im Jahr 2020) von Arne Holz (geb. 12.08.1986 in Ulm) erhoben wurden. Es beihaltet die strukturierten qualitativen Antworten der Probanden, die an der Akzeptanzbefragung teilgenommen haben. Diese wurden mithilfe einer inhaltsanalytischen Auswertung in Anlehnung an das Verfahren der Content Analysis nach Stone (1997) ausgewertet. Eine ausführliche Nutzungsbeschreibung findet sich auf der ersten Seite des Dokuments.
Ausführliche qualitative Aussagen der Befragten zur Dissertation "Akzeptanz und Versicherbarkeit autonom fahrender Automobile - Ein Weg in eine unfallfreie Zukunft" von Arne Holz
Processed micro-tomographic scan of the ant Tetramorium bicarinatum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Procryptocerus sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Data_Format - Software Raw - diffrac.eva(Bruker) Gfm - diffrac.eva(Bruker) Xy - Origin dm3/4 - DigitalMicrograph mrc - ImageJ emd - Velox
Microstructural study of MgB$_{2}$ in the LiBH$_{4}$-MgH$_{2}$ composite by TEM
This program is intended to reproduce the results from the paper "Error analysis for space discretizations of quasilinear wave-type equations" It is an implementation of the full discretization of quasilinear wave equations, e.g., the Westervelt equation, following the method of lines.For the discretization in space, we apply a continuous Galerkin approach withisoparametric finite elements. For the subsequent discretization in time, two variants of the implicit midpoint rule as well as the leapfrog scheme areimplemented. The code is based on the open source finite element library MFEM (version 4.2). Further information can be found at https://mfem.org/ . -------------------------------------------------------------------------------- To use this code, MFEM (release 4.2) has to be installed supporting MPI, using Open MPI (release 4.1), Hypre (release 2.16.0), and Metis (release 5.1.0), cf. https://mfem.org/building/ . In order to run the program, change the makefile such that MFEM_DIR and MFEM_BUILD_DIR point to the source and build directory of MFEM on your system. Then, open a terminal session, go to the directory of the makefile and call "make". To reproduce the results shown in the paper, run the file "driver" to compute the results. These are then written to the file "res/results.txt" and can be displayed in a simple plot with the Matlab script "res/plot_results.m".
This code was used for the numerical experiments in the preprint (CRC Preprint 2021/2; URL: https://www.waves.kit.edu/downloads/CRC1173_Preprint_2021-2.pdf) and in the paper "Error analysis for space discretizations of quasilinear wave-type equations" by M. Hochbruck and B. Maier.
Numerical experiments to "Error analysis for space discretizations of quasilinear wave-type equations"
Die Details zu den Daten können dem OA Paper "Automated manufacturing process for sustainable prototyping of nuclear magnetic resonance transceivers" im Journal Magnetic Resonance (https://doi.org/10.5194/mr-2024-22) entnommen werden.
Rohdaten zur Publikation "Automated manufacturing process for sustainable prototyping of nuclear magnetic resonance transceivers" (10.5194/mr-2024-22)
Processed micro-tomographic scan of the ant Strumigenys aff cincinnata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Proceratium sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Zur Bestimmung von Abrollformen (englisch: roll-over shapes) für den Fuß wurden Experimente mit neun Probanden durchgeführt (4 männlich, 5 weiblich). Durch ein Motion Capture System werden die Positionen von Markern erfasst, die an den Knöcheln und dem Großzehengrundgelenk angebracht sind, während die Probenden geradeaus gehen. Zur Messung der Kontaktkräfte werden zwei Kraftmessplatten genutzt, auf die die Probanden während dem Gehen auftreten. Aus den Rohdaten wird jeweils die Trajektorie des Sprunggelenks extrahiert, während der Fuß auf einer der Kraftmessplatten abrollt. Aus diesen Trajektorien wird eine Abrollform für jeden Fuß erstellt. Das genaue Vorgehen ist in der Dissertation "Über den Einfluss der Fußgeometrie auf die Energieeffizienz beim zweibeinigen Gehen" (Ulrich J. Römer, 2019, DOI: 10.5445/KSP/1000089994) geschrieben.
Experiments with nine subjects (4 male, 5 female) are conducted to determine roll-over shapes for their feet. The position of markers at the knuckles and the metatarsal joint is measured via motion capturing for straight walking. Two force plates are used to measure contact forces during walking. The respective ankle trajectories are extracted from the raw data while a foot is rolling on one of the force plates. Roll-over shapes are created to fit the trajectory. A etailed description of the method and the models is given in the PhD thesis "Über den Einfluss der Fußgeometrie auf die Energieeffizienz beim zweibeinigen Gehen" (Ulrich J. Römer, 2019, DOI:10.5445/KSP/1000089994, in German).
Die Rohdaten und die Skripte zur Auswertung der Abrollfomen sind als Matlab-Dateien abgelegt. Der Matlab-Code zur Auswertung der Modelle für die Abrollform wird automatisch aus dem Maple-Worksheet "RegFoot.mw" generiert und im Unterordner "m_functions_out" abgelegt (Maple wird zur Ausführung des Matlab-Codes nicht benötigt, alle Dateien sind bereits erzeugt). Aus den Rohdaten in "raw_data.mat" werden mit dem Skript "a_preproc_data.m" die Trajektorien der Sprunggelenke für die Abrollbewegung auf der Kraftmessplatte extrahiert und in "preproc_data.m" gespeichert. Mit dem Skript "b_fitted_data.m" werden an diese Trajektorien die Modelle für die Abrollform angepasst. Zum Fitten der Daten wird die Funktion "fitfoot.m" aufgerufen. Die Daten für die gefitteten Modelle werden in "fitted_data.mat" gespeichert. Mit dem Skript "c_postproc_data.m" werden aus diesen gefitteten Daten Plots für die Geometrie und die Trajektorien des Modells und der Messung erzeugt und im Unterordner "results" gespeichert. Alle Plots sind als png-Dateien Teil dieses Datensatzes.
Roll-over shapes for 9 human candidates with and without shoes: measurement data, evaluation scripts and results
Processed micro-tomographic scan of the ant Pheidole sp flavens group, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pachycondyla harpax, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Mesoponera ambigua, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tetramorium caespitum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Elemental Distribution in Catalyst-Coated Membranes of PEM Water Electrolysers Tracked by Synchrotron X-ray Fluorescence - Pristine CCM
Processed micro-tomographic scan of the ant Temnothorax mauritanicus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Messor afrc-za01, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pogonomyrmex desertorum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Das Deutsche Zentrum für Luft- und Raumfahrt (DLR)
### **DATA SET DESCRIPTION** ### **1. Spatial coverage** Measurements were collected during the CROSSINN field campaign in the Inn Valley, Austria. The focus of the campaign was located at a mild valley curvature approximately 20 km northeast of Innsbruck. This data set contains aircraft measurements conducted during five IOPs. ### **2. Temporal coverage** *IOP1* - 05.08.2019 *IOP2b* - 09.08.2019 *IOP4* - 14.08.2019 *IOP6* - 22.08.2019 *IOP7b* - 27.08.2019 ### **3. Instrument details and data file structure** Available here is a single file, FDLR.zip, containing the following folder structure: ***10 Hz*** folder contains quality-controlled (following Mallaun et al, 2015) raw measurements (temporal resolution 10 Hz) collected with the METPOD meteorological sensor package mounted on the Cessna Grand Caravan 208B of the German Aerospace Center (DLR). ***100 Hz*** folder contains quality-controlled (following Mallaun et al, 2015) raw measurements (temporal resolution 100 Hz) collected with the METPOD meteorological sensor package mounted on the Cessna Grand Caravan 208B of the German Aerospace Center (DLR). ***overview*** folder contains .kml, .kmz, and .pdf overviews of all ten flights, performed during five selected CROSSINN Intensive Observation Periods (IOP). Additionally, the file 'extracted_straight_leg_segments.txt' contains starting and ending indices of the straight leg segments, obtained for the 10 Hz data set by Nevio Babić. The image 'google_earth_flightpattern_sites.jpg' contains a sample of a combined set of along-valley and cross-valley legs. ### **4. Locations** The along-valley and cross-valley legs were flown in the vicinity of the CROSSINN investigation area, centered at the Kolsass headquarter site. Kolsass - 47.305290°N / 11.622231°E ### **5. Contact** Contact nevio.babic@kit.edu for any questions regarding the data sets. ### **6. References** Adler B., A. Gohm, N. Kalthoff, N. Babić, U. Corsmeier, M. Lehner, M. W. Rotach, M. Haid, P. Markmann, E. Gast, G. Tsaknakis, and G. Georgoussis. " CROSSINN - a field experiment to study the three-dimensional flow structure in the Inn Valley, Austria", Bulletin of the American Meteorological Society (2020): 1-55, accessed Dec 11, 2020, https://doi.org/10.1175/BAMS-D-19-0283.1 Mallaun C., A. Giez, and R. Baumann. "Calibration of 3-D wind measurements on a single-engine research aircraft." Atmospheric Measurement Techniques 8.8 (2015): 3177-3196.
The data sets found here were collected with the Cessna Grand Caravan aircraft (German Aerospace Center, DLR) in the Inn Valley, Austria, from 1 Aug 2019 to 13 Oct 2019, within the CROSSINN field campaign (Cross-valley flow in the Inn Valley investigated by dual-Doppler lidar measurements). The goal of the campaign was to study the multi-scale three-dimensional flow structure and the impact of the flow on the mountain atmospheric boundary layer (MoBL) structure and evolution across the Inn Valley. Further details of the campaign can be found in Adler et al (2020). Adler B., A. Gohm, N. Kalthoff, N. Babić, U. Corsmeier, M. Lehner, M. W. Rotach, M. Haid, P. Markmann, E. Gast, G. Tsaknakis, and G. Georgoussis. " CROSSINN - a field experiment to study the three-dimensional flow structure in the Inn Valley, Austria", Bulletin of the American Meteorological Society (2020): 1-55, accessed Dec 11, 2020, https://doi.org/10.1175/BAMS-D-19-0283.1
Die hier zu findenden Datensätze wurden mit dem Cessna Grand Caravan Flugzeug (Das Deutsche Zentrum für Luft- und Raumfahrt, DLR) im Inntal, Österreich, vom 1.8.2019 bis 13.10.2019, im Rahmen der CROSSINN-Feldkampagne (Cross-valley flow in the Inn Valley investigated by dual-Doppler lidar measurements) erhoben. Das Ziel der Kampagne war es, die multiskalige dreidimensionale Strömungsstruktur und den Einfluss der Strömung auf die Struktur und Entwicklung der atmosphärischen Grenzschicht (MoBL) über dem Inntal zu untersuchen. Weitere Details der Kampagne sind in Adler et al. (2020) zu finden. Adler B., A. Gohm, N. Kalthoff, N. Babić, U. Corsmeier, M. Lehner, M. W. Rotach, M. Haid, P. Markmann, E. Gast, G. Tsaknakis, and G. Georgoussis. " CROSSINN - a field experiment to study the three-dimensional flow structure in the Inn Valley, Austria", Bulletin of the American Meteorological Society (2020): 1-55, accessed Dec 11, 2020, https://doi.org/10.1175/BAMS-D-19-0283.1
CROSSINN (Cross-valley flow in the Inn Valley investigated by dual-Doppler lidar measurements) - Aircraft data set [FDLR]
This program is intended to reproduce the results from the paper "On averaged exponential integrators for semilinear wave equations with solutions of low-regularity. " by S. Buchholz, B. Dörich, and M. Hochbruck. The codes generates Figure 2. #### Requirements The program is tested with 1) Ubuntu 16.04.7 LTS and Python 3.7.6 and the following version of its modules: - numpy - 1.15.4 - scipy - 1.4.1 - matplotlib - 3.2.1 - tikzplotlib - 0.9.6 2) Ubuntu 18.04.5 LTS and Python 3.6.9 and the following version of its modules: - numpy - 1.19.2 - scipy - 1.5.1 - matplotlib - 3.3.2 - tikzplotlib - 0.9.4 #### Figure 2 In this folder open a console and run the following commands after each other. 1) Run "python3 run_paper_Strang_N_2pw09.py" 2) Run "python3 run_paper_Strang_N_2pw10.py" 3) Run "python3 run_paper_Strang_N_2pw11.py" After running the calculations, the errors can be found in the folder "results" as tikz-files.
This code was used for the numerical experiments in the preprint (CRC Preprint 2021/12; URL: https://www.waves.kit.edu/downloads/CRC1173_Preprint_2021-12.pdf) and in the paper "On averaged exponential integrators for semilinear wave equations with solutions of low-regularity" by S. Buchholz, B. Dörich, and M. Hochbruck.
Numerical experiments to "On averaged exponential integrators for semilinear wave equations with solutions of low-regularity"
Processed micro-tomographic scan of the ant Pogonomyrmex barbatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Lioponera foreli, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Simulation results tagged f04623 (see appendix A) generated using Inovesa (10.5281/zenodo.1243264). The data is usable utilizeing e.g. the scripts provided at https://github.com/Inovesa/examples.
Processed micro-tomographic scan of the ant Cephalotes spinosus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Temnothorax indra, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant 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 program is intended to reproduce the results from the preprint "Error analysis of the Strang splitting for the 3D semilinear wave equation with finite-energy data" by Maximilian Ruff The program is tested with Windows 10 and Python 3.10 and the following version of its modules: numpy - 1.26.3 matplotlib - 3.5.1 tikzplotlib - 0.10.1 Figure 1: Run "run_alpha3.py" Figure 2: Run "run_alpha4.py" Figure 3: Run "run_alpha5.py" Parts of the code relies on on code written by B. Dörich in https://doi.org/10.5445/IR/1000130189 .
Numerical experiments to "Error analysis of the Strang splitting for the 3D semilinear wave equation with finite-energy data"
Processed micro-tomographic scan of the ant Anochetus katonae, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
data are stored in an project of origin lab format
Research on charge-density-wave (CDW) ordered transition-metal dichalcogenides continues to unravel new states of quantum matter correlated to the intertwined lattice and electronic degrees of freedom. Here, we report an inelastic x-ray scattering investigation of the lattice dynamics of the canonical CDW compound 2H-TaSe2 complemented by angle-resolved photoemission spectroscopy and density functional perturbation theory. Our results rule out the formation of a central-peak without full phonon softening for the CDW transition in 2H-TaSe2 and provide evidence for a novel precursor region above the CDW transition temperature TCDW, which is characterized by an overdamped phonon mode and not detectable in our photoemission experiments. Thus, 2H-TaSe2 exhibits structural before electronic static order and emphasizes the important lattice contribution to CDW transitions. Our ab-initio calculations explain the interplay of electron-phonon coupling and Fermi surface topology triggering the CDW phase transition and predict that the CDW soft phonon mode promotes emergent superconductivity near the pressure-driven CDW quantum critical point.
Precursor region with full phonon softening above the charge-density-wave phase transition in 2H-TaSe$_2$
Processed micro-tomographic scan of the ant Neoponera marginata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Die dieser Veröffentlichung zugrunde liegenden Arbeiten wurden im Auftrag des Bundesministers für Verkehr und digitale Infrastruktur unter FE-Nr. 70.952/2019 durchgeführt. Die Verantwortung für den Inhalt liegt ausschließlich beim Autor.
Deutsches Mobilitätspanel (MOP) - Statistiken zur Alltagsmobilität sowie zu Fahrleistung und Kraftstoffverbrauch 2010 - 2019
Processed micro-tomographic scan of the ant Mycetophylax asper, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Solenopsis tipuna, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
# Statistics on turbulent forced convection pipe flow with different thermal boundary conditions for two Prandtl numbers This database features velocity and thermal statistics for fluids of Prandtl numbers Pr=0.71, 0.025 and bulk Reynolds numbers of Re=5300, 11700, 19000, 37700 in a fully-developed forced convection pipe flow. The different types of thermal boundary conditions are isothermal ("IT"), mixed-type boundary condition ("MBC") and isoflux ("IF") as given in the accompanying publication. The detailed description of the numerical setup and discussion of the statistics contained in this database are given in the accompanying publication: Straub, Forooghi, Marocco, Wetzel, Vinuesa, Schlatter, Frohnapfel (2019) "The influence of thermal boundary conditions on turbulent forced convection pipe flow at two Prandtl numbers". International Journal of Heat and Mass Transfer. 2019. ## Contents * Velocity statistics: * Friction Reynolds number * Mean velocity, Reynolds stresses * Budgets of Reynolds stresses and turbulent kinetic energy * Thermal statistics: * Nusselt number and its contributions * Mean temperature, temperature variance and turbulent heat fluxes * Budgets of temperature variance and turbulent heat flux
This database contains numerical results of well-resolved large-eddy simulations and direct numerical simulations on a fully-developed turbulent forced convection pipe flow with different thermal boundary conditions. Please refer to the README for further information.
Statistics on turbulent forced convection pipe flow with different thermal boundary conditions for two Prandtl numbers
This dataset includes 29280 2D images taken from 3D µCT scans of carbon fiber reinforced polyamide 6. They were generated by augmenting (x4) and cutting (x4) of 1830 single 2D images resulting from 18 different specimens of 2 CFRP plaques. The images were used as training data for a generative adversarial network (GAN) which creates similar microstructural images. Please find details in the following publication: Blarr, J.; Klinder, S.; Liebig, W. V.; Inal, K.; Kärger, L.; Weidenmann, K. A.: Deep convolutional generative adversarial network for generation of computed tomography images of heterogeneous low-contrast microstructures. Nature Scientific Reports XXX (2024).
2D images of CT scans of carbon fiber reinforced polyamide 6
Die Datei im pdf-Format enthält eine Anleitung zum Bau des im zugehörigen Zeitschriftenaufsatz präsentierten automatisierten Fluid-Probenehmers "GUARD".
GUARD autosampler - Assembly instructions
Processed micro-tomographic scan of the ant Cyphoidris afrc-tz01, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Camponotus sachalinensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Data for Polarization-dependent effects in vibrational absorption spectra of 2D finite-size adsorbate islands on dielectric substrates
Processed micro-tomographic scan of the ant Forelius cf brasiliensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Myrmelachista nodigera, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Carebara atoma, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Atmosphärische Spurenstoffe und Fernerkundung, Institut für Photogrammetrie und Fernerkundung
Institut für Meteorologie und Klimaforschung Troposphärenforschung
# Code of Dietel et al.: "Combined impacts of temperature, sea ice coverage, and mixing ratios of sea spray and dust on cloud phase over the Arctic and Southern Oceans", submitted to Geophysical Research Letters ## Scripts to train a machine learning model (Histogram based gradient boosting regression with scikitlearn) and calculate SHapley Additive exPlanation (SHAP) values The machine learning model can predict the liquid fraction in different cloud types based on four parameters, namely the cloud top temperature, the sea ice concentration, the dust mixing ratio and the sea salt mixing ratio. More information on the used dataset can be found here: [Dietel et al. 2023](https://egusphere.copernicus.org/preprints/2023/egusphere-2023-2281/) ### Bash-scripts The bash scripts are used to run the python scripts for different cloud types and regions on a cluster. bash-scripts starting with ***GBR_[...]*** (Gradient Boosting Regression) run the python-script ***hist_gbr_subset_final2_with_comments.py*** for different regions (Arctic Ocean (AO), Southern Ocean (SO)) and different cloud types (low-level, mid-level,mid-to-low-level). bash-scripts starting with ***shap_values_***[...] run the python-script ***shap_values-subset-final2_with_comments.py*** to calculate SHAP values based on the trained machine learning models for a 500 000 sample subset of the validation dataset. ### Python scripts ***hist_gbr_subset_final2_with_comments.py*** Python script to train the a Histogram-based Gradient Boosting Regression model using the scikitlearn python package. More detailed information can be found as comments in the scripts. ***shap_values-subset-final2_with_comments.py*** Calculates SHAP values for a 500 000 sample subset of the validation dataset to make the machine learning model explainable. More detailed information can be found as comments in the scripts.
Histogram based gradient boosting regression
Code of Dietel et al.: "Combined impacts of temperature, sea ice coverage, and mixing ratios of sea spray and dust on cloud phase over the Arctic and Southern Oceans", submitted to Geophysical Research Letters
Processed micro-tomographic scan of the ant Strumigenys sp appretiata group, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Protanilla lini, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cephalotes pinelii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
During sliding of metallic surfaces, the near surfaces undergo significant changes in terms of topography, composition and microstructure. Since friction and wear behavior of the materials are strongly influenced by sub-surface deformations, it is fundamental to investigate these effects. Therefore, the present study aims towards a better understanding of the behavior of friction depending on well-defined initial microstructures. By performing sliding experiments on Au-Ni multilayer samples under ultrahigh vacuum (UHV) conditions, we observe that the individual layer thickness of multilayer systems has a strong influence on friction behavior due to the transition in the dominant deformation mechanism near the surface. The experiments reported here provide a new route for lowering the friction force of metallic material systems in dry contact by providing more stable microstructures and alloy formation. Through ultrafine grains present in the alloy formed by mechanical mixing the number of grain boundaries strongly increases and hence, grain boundary-mediated deformation results in the low friction coefficient.
Friction data aquired by the homebuilt UHV microtribometer for a ruby sphere sliding against different Au-Ni multilayer samples. The data includes normal load, friction force and COF as a function of the mulitlayer thickness.
Processed micro-tomographic scan of the ant Phrynoponera transversa, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Dorymyrmex sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Odontomachus bauri, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Nylanderia okm05, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains FAIR records which describe the tribological experiment Copper under Constant Normal Load #0001, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0001 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Institut für Programmstrukturen und Datenorganisation
Supplementary Material for the paper "Results from the Verification of Spectrum Auction Model"
Processed micro-tomographic scan of the ant Temnothorax affinis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Further details on the infrasound records are provided in "Swabian MOSES 2021: An interdisciplinary field campaign for investigating convective storms and their event chains" by M. Kunz et al., Front. Earth Sci. Sec. Atmospheric Science, 2022, DOI: 10.3389/feart.2022.999593
Infrasound data collected by Swabian MOSES 2021
Im Rahmen der Swabian MOSES Kampagne 2021 aufgezeichnete Infraschalldaten
Processed micro-tomographic scan of the ant Strumigenys sp mandibularis group, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Strumigenys crassicornis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Angewandte Materialien – Computational Materials Science (IAM-CMS), Karlsruher Institut für Technologie (KIT), Institut für Angewandte Materialien – Zuverlässigkeit und Mikrostruktur (IAM-ZM), Karlsruher Institut für Technologie (KIT)
Raw data containing friction data, profilometry, light microscopy and electron microscopy data
How Surface Treatment of Porous Copper Samples Dictates Dry Friction and Wear
Processed micro-tomographic scan of the ant Mycetomoellerius holmgreni, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Crematogaster cf crinosa, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Acanthomyrmex luciolae, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Psalidomyrmex sallyae, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Odontomachus hastatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Anochetus risii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Recurvidris recurvispinosa, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Stigmatomma okm01, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Typhlomyrmex rogenhoferi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Axinidris hypoclinoides, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant OUTGROUP_Tachypompilus analis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
## Readme This program is intended to reproduce the results from the preprint "Error bounds for discrete minimizers of the Ginzburg--Landau energy in the high-$\kappa$ regime" by Benjamin Dörich and Patrick Henning The codes generates the lines in Figures2 and 3 #### Requirements The program is tested with Ubuntu 20.04.5 LTS and Python 3.8.10 and the following version of its modules: - numpy - 1.17.4 - scipy - 1.3.3 - matplotlib - 3.1.2 - tikzplotlib - 0.9.8 - dolfin - 2019.2.0.dev0 - fenics - 2019.2.0.dev0 #### Figures In the folder "code_23_DoerichHenning_GL" open a console and run the following commands after each other (2a+b, 4a+b can be executed in paralell). 1) Run "python3 c1_generate_rectangle.py" 2a) Run "python3 c2a_GL_FEM_comp_all_min_finest.py" 2b) Run "python3 c20_GL_FEM_comp_kappa20.py" 3) Run "python3 c2b_GL_FEM_comp_all_min.py" 4a) Run "python3 c3a_GL_FEM_comp_all_errors.py" 4b) Run "python3 c3b_GL_FEM_comp_all_eigs.py" 5) Run "python3 c4_GL_FEM_draw_error_plot.py" After running the calculations, the files are stored as follows: (a) the folder "plots_for_paper" contains the pdf and tikz files for the error plots in Figure 2 and 3. (b) the folders "sol_ref_3_Mag_st_2.0_kappa_[KAPPA]_P1_square" contain all figures of the solutions where [KAPPA] is replaced by the respective value.
Ginzburg–Landau equation superconductivity error analysis finite element method
Numerical experiments for "Error bounds for discrete minimizers of the Ginzburg-Landau energy in the high-κ regime" (v3)
Der Datensatz beinhaltet die Simulationen des Papers "Micro-textures inversely designed with overlayed-lithography manufacturability for wetting behavior in Cassie–Baxter status". DOI: 10.1016/j.apm.2019.04.059
Dataset to the publication 'Micro-textures inversely designed with overlayed-lithography manufacturability for wetting behavior in Cassie–Baxter status'
Processed micro-tomographic scan of the ant Gnamptogenys aff continua, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Ectatomma brunneum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
In the present paper we consider a class of quasilinear wave equations on a smooth, bounded domain. We discretize it in space with isoparametric finite elements, and apply a semi-implicit Euler and midpoint rule as well as the exponential Euler and midpoint rule to obtain four fully discrete schemes. We derive rigorous error bounds of optimal order for the semi-discretization in space and the fully discrete methods in norms which are stronger than the classical $H^1\times L^2$ energy norm under weak CFL-type conditions. To confirm our theoretical findings, we also present numerical experiments.
This code is used for the numerical experiment in Section 2 of the paper "Strong norm error bounds for quasilinear wave equations under weak CFL-type conditions" by Benjamin Dörich. Part of the code relies on code written by J. Leibold in https://doi.org/10.5445/IR/1000130223 . The computations are done in C++ using the Finite Element library deal.II; the plots then are generated with Python3. To use this code, deal.II (release 9.5.1) has to be installed, cf. https://www.dealii.org/9.5.0 In order to compile the program, open a terminal session in this folderand call "cmake -DDEAL_II_DIR=/path/to/deal.II ." Next, call "make release" and "make". Then, one can run the commands (can be done in paralell) ./main P1 ./main P2 ./main P3 ./main P3_half ./main euler ./main midpoint ./main alpha60P1 ./main alpha60P2 ./main alpha80P1 ./main alpha80P1 ./main alpha90P1 ./main alpha90P2 ./main alpha95P1 ./main alpha95P2 to execute the code. This performs the computations and generates the files parameters_P1.ini_space_Q1.txt parameters_P2.ini_space_Q2.txt parameters_P3.ini_space_Q3.txt parameters_P3_half.ini_space_Q3.txt parameters_euler.ini_time_ImplEuler parameters_midpoint.ini_time_MidpointRule parameters_alpha_60_P1.ini_space_Q1.txt parameters_alpha_60_P1.ini_space_Q2.txt parameters_alpha_80_P1.ini_space_Q1.txt parameters_alpha_80_P2.ini_space_Q2.txt parameters_alpha_90_P1.ini_space_Q1.txt parameters_alpha_90_P2.ini_space_Q2.txt parameters_alpha_95_P1.ini_space_Q1.txt parameters_alpha_95_P2.ini_space_Q2.txt in the folder "error" containing the results of the numerical experiments. After that, the plots can be generated with the Python3 Script using in the terminal python3 wave_non_auto_error_plots.py in the folder "tikz".
Code to "Strong norm error bounds for quasilinear wave equations under weak CFL-type conditions" (v2)
Processed micro-tomographic scan of the ant Trichomyrmex emeryi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pseudomyrmex gracilis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Neivamyrmex cf hetschkoi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Automation und angewandte Informatik (IAI), Karlsruher Institut für Technologie (KIT), Institut für Biologische und Chemische Systeme (IBCS), Karlsruher Institut für Technologie (KIT)
The droplet microarray (DMA) platform is a powerful tool for high-throughput biological and chemical applications, enabling miniaturization and parallelization of experimental processes. Capable of holding hundreds of nanoliter droplets, it facilitates the screening and analysis of various samples, including cells, bacteria, embryos, and spheroids. Handling thousands of such small volumes in parallel is essential but presents substantial challenges. In this study we utilize the open format of the DMA for controlled and highly parallel high-throughput liquid manipulations using the sandwich technique. We demonstrate high-throughput medium replacement at nanoliter-scale, maintaining high viability of cells on DMA for up to 7 days for HeLa-CLL2 cells (adherent) and SU-DHL4 cells (suspension), and up to 14 days for HEK293 spheroids. We also demonstrate highly parallel uptake aliquots from nanoliter droplets, which we use for non-destructive cell viability assessment. Additionally, the presented method enables the controlled parallel transfer of cell spheroids between different DMAs, enabling both transfer and pooling of spheroids in seconds without their damage. These advances significantly enhance the capabilities of DMA, enabling long-term cell culture in thousands of nanoliter droplets and allowing parallel sampling and high-throughput cell or spheroid manipulation for various screening applications. This broadens the potential applications of the DMA platform in the fields such as cell-based high-throughput screening, formation of complex 3D cell models for drug screening, and microtissue engineering.
Highly Parallel and High-Throughput Nanoliter-Scale Liquid, Cell, and Spheroid Manipulation on Droplet Microarray
Readme files that explains the structure of the data are stored inside the folder containing the data
Results of MC simulations (lowest energy geometries and energies, as well as energies and CN-profile taken every 5x107 iterations for each run) for all the investigated particles
Modeling the Shape and Stability of Supported Co Nanoparticles under Fischer-Tropsch Conditions via DFT Calculations and Monte Carlo simulations: Insights into CO-Driven Surface Reconstruction
Processed micro-tomographic scan of the ant Anochetus sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset includes files for HELIOS++ (version 1.1.0)
This dataset includes files to reproduce HELIOS++ airborne laser scanning simulations of six 1-ha plots in temperate forests in south-western Germany. In addition, the real ALS data of the same plots is provided. Synthetic 3D representations of the plots were created based on forest inventory information. They were composed of real ULS point clouds of single trees, and, for comparison, simplified tree models with cylindrical stems and spheroidal crowns. This dataset includes all files required to run the HELIOS++ simulations, including the synthetic forest stand point clouds, soil layers, scene files, and survey files. The simulation output can then be compared to the real ALS data which is also provided.
Generating synthetic laser scanning data of forests by combining forest inventory information, a tree point cloud database and an open-source laser scanning simulator [Data to reproduce the ALS simulations]
We present the first high resolution measurements of pollutant trace gases in the Asian Summer Monsoon Upper Troposphere and Lowermost Stratosphere (UTLS) from the Gimballed Limb Observer for Radiance Imaging of the Atmosphere (GLORIA) during the StratoClim (Stratospheric and upper tropospheric processes for better climate predictions) campaign based in Kathamandu, Nepal, 2017. Measurements of peroxyacetyl nitrate (PAN), acetylene (C$_2$H$_2$), and formic acid (HCOOH) show strong local enhancements up to altitudes of 16 km. More than 500 pptv of PAN, more than 200 pptv of C$_2$H$_2$, and more than 200 pptv of HCOOH are observed.
GLORIA data for: Pollution trace gas distributions and their transport in the Asian monsoon upper troposphere and lowermost stratosphere during the StratoClim campaign 2017
:title = "Binned SO2 volume mixing ratio (vmr) profiles from MIPAS single retrievals combined with SO2 vmr profiles from MIPAS 10deg zonal and monthly mean spectra"; :institution = "Karlsruhe Institute of Technology - Institute of Meteorology and Climate Research"; :organization = "KIT/IMK-ASF"; :global_target_name = "SO2"; :source = "Satellite MIPAS on Envisat"; :type_of_data = "MEASUREMENTS"; :experiment = "MIPAS"; :platform = "SATELLITE"; :name_of_platform = "ENVISAT"; :data_version = "V5H_SO2_20,V5R_SO2_220,V5R_SO2_221,V5R_SO2_120 and MIPAS-E_IMK.2002-2012.SO2mean_1"; :institute = "KIT/IMK-ASF"; :address = "P.O.B. 3640, 76021 Karlsruhe, Germany"; :email = "michael.hoepfner@kit.edu"; :distribution_statement = "Please follow data policy instructions for the use of this data, to be found on the data distribution site."; :references = "Höpfner et al., 2013, https://doi.org/10.5194/acp-13-10405-2013; Höpfner et al., 2015, https://doi.org/10.5194/acp-15-7017-2015"; :file_creation_time = "2023-09-08T15:50:50.660086"; :file_modification_time = ""; :file_modification_description = ""; :description = "||<= 20 km: 60deglon/10deglat/5day binned profiles from MIPAS single retrieval (Höpfner et al., 2015) || >= 24 km: MIPAS zonal/monthly profiles from mean retrieval (Höpfner et al., 2013) || 21,22,23 km: linearly weighted transition from single to mean profiles"; :version = "v1"; :code_for_dataset_combination = "combine_so2_datasets.py";
Combined gridded stratospheric sulfur dioxide (SO2) dataset (v1) from MIPAS
Application of a Dynamic Pricing for Variant Manufacturing in Production Networks using Reinforcement Learning - Result Data
Learning to Understand Human Motion by Simulating Muscle Activations
Computer Vision for Human Computer Interactions Lab (cv:hci), Institute for Anthropomatics and Robotics (IAR), Karlsruhe Institute of Technology
Exploring the intricate dynamics between muscular and skeletal structures is pivotal for understanding human motion. However, acquiring ground truth muscle activation data is resource-intensive and results in a scarcity of datasets. The Muscles in Time (MinT) dataset aims to address this by introducing a large-scale synthetic muscle activation dataset. MinT is created by enriching existing motion capture datasets with muscle activation simulations from biomechanical models using the OpenSim platform, a widely accepted tool in biomechanics and human motion research. Neural networks designed for human motion understanding have historically relied on indirect data, like video or motion capture, similar to prisoners in Plato's cave who see only shadows rather than the true objects. Current systems, despite advances in capturing human motion, do not account for the complex inner mechanics—particularly the muscle activations driving human movement. These activations are key to understanding physical exertion and motion difficulty but are often overlooked due to the limitations of traditional data collection methods such as EMG. To overcome these challenges, our dataset, MinT, incorporates simulations that provide detailed muscle activation information. Starting from simple pose sequences, we extract fine-grained muscle activation timings and interactions within the human musculoskeletal system. MinT contains over nine hours of simulation data, covering 227 subjects and 402 muscle strands, offering a comprehensive and scalable resource for further research into human motion.
Please find additional information about this dataset and its usage under https://simplexsigil.github.io/mint
Processed micro-tomographic scan of the ant Gnamptogenys sulcata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
# General Information This repository contains research data contributing to the Advanced Materials Technologies publication "Multi-Photon 4D Printing of Complex Liquid Crystalline Microstructures by In Situ Alignment Using Electric Fields" by A. Münchinger, V. Hahn, D. Beutel, S. Woska, J. Monti, C. Rockstuhl, E. Blasco, M. Wegener In the following it is refered to the Figures and Supporting Movies of this publication. # Folder Structure ## CAD - Needed to machine the electrode holder. The file 'Baugruppe1_2' assembles all the parts. ## Experimental Data ### Figure 3 - Contains all optical microscope and SEM images of the structures depicted in Figure 3. ### Figure 4 - Bimaterial beams are connected to a cylindrical post (compare Figure 4) - The structure is heated within a heating stage - Contains all optical microscope and SEM images of the structures depicted in Figure 4 and Supporting Movie 1. - Contains all MATLAB scripts to generate Supporting Movie 1 - See the README.txt file for details ### Figure 5 - A buckling structure is heated in a heating stage - Contains videos recorded with an optical microscope of the structure - Contains the temperature data - Contains SEM images - Contains all MATLAB scripts to generate Figure 5 and Supporting Movie 2 from the data - See the README.txt file for details ### Figure S2 - DSC curves for the LCN ink were measured - Contains all measured DSC data - Contains all MATLAB scripts to generate Figure S2 - See the README.txt file for details ### Figure S6 - A thin membrane supported by a cylindrical post (compare Figure 3) is heated within a heating stage. - Contains videos recorded with an optical microscope of the structure - Contains the temperature data - Contains all MATLAB scripts to generate Figure S6 and Supporting Movie 3 from the data - See the README.txt file for details ### Supporting Movie 4 - The LCN ink inside a sandwich cell made from two coverslips is located in a heating stage. It is observed with a polarizing optical microscope while the polarizers are crossed - Contains all data to reproduce Supporting Movie 4 - Contains all MATLAB scripts to generate Supporting Movie 4 ## Simulation Data ### Electrostatic Simulations - Contains the COMSOL 5.5 files that generated the data depicted in Figure 1. - Contains the data depicted in Figure 1. - Contains all MATLAB scripts to generate Figure 1 from the data. - Contains all data depicted in Figure S3. - See the README.txt file for details ### Optical Simulations - Contains the simulation files to generate the data depicted in Figure 2. - Contains the data depicted in Figure 2. #### focusaniso - Contains the python scripts that simulated the optical field distribution within the LC ink. - Contains the resulting data - Contains the MATLAB scripts that generate Figure 2c and Figure 2d. - See the README.md file for details #### Power Ratios - Contains the MATHEMATICA notebook that was used to obtain analytical expressions for the transmission coefficients from an isotropic medium to a birefringent medium for a plane wave - Contains the MATLAB scripts that calculate the transmitted power of a focused gaussian beam - Contains the MATLAB scripts that generate Figure 2b. - See the README.txt file for details
Multi-Photon 4D Printing of Complex Liquid Crystalline Microstructures by In Situ Alignment Using Electric Fields
Processed micro-tomographic scan of the ant Paraparatrechina weissi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Eciton vagans dubitatum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Dinomyrmex gigas, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Camponotus brutus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Laser-Flash-Apparatus: Netzsch LFA 457, InSb and HgCdTe IR Detectors Raw data on single crystal quartz thermal diffusivity are given as .csv data within the corresponding sample folders: "LT" refers to low temperature (-120 °C to 400 °C), "HT" to high temperature (25 °C to 800 °C) measurements. "_001" or "_100" of the folder and .csv file names denote the measured crystallographic direction, i.e. [100] (a-axis) and [001] (c-axis), respectively. All .csv data contain a header with information on the measurement followed by the data in columns "Time /ms" and "Detector /V". Thicknesses within the header information are given as room temperature (RT) thicknesses. They are approx. 2 mm for "HT1" specimens, approx. 4 mm and 4.7 mm for "HT2" specimens and approx. 10 mm for "Qz_cube" specimens. Information on the laser pulse used for the measurements can be found in the header information for the pulse power (e.g. "#Laser_voltage/V;1538,0") and filter settings that were used (e.g. "#Laser_filter/mm;100,0"). For finite pulse-time effect consideration[1], corresponding exemplary laser pulse profiles can be found in the folder "Laserpulse". [1] e.g., see: Breuer, S. and Schilling, F. R.: Improving Thermal Diffusivity Measurements by Including Detector Inherent Delayed Response in Laser Flash Method, Int J Thermophys, 40, 95, https://doi.org/10.1007/s10765-019-2562-9, 2019)
Quartz single crystal thermal diffusivity measurements by laser flash method: from -120 °C through the α-β phase transition to 800 °C
Processed micro-tomographic scan of the ant Aphaenogaster cf araneoides, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Strumigenys zeteki, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cephalotes atratus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tetramorium kraepelini, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Gesomyrmex sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Myrmica siciliana, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Karlsruhe Institute of Technology, legal affairs unit
This document contains an agreement between Karlsruhe Institute of Technology (KIT) and a partner institution regarding the transfer of chemical compounds through the Compound Platform (ComPlat). ComPlat is a non-commercial facility at KIT that focuses on the synthesis, collection, and reuse of chemical compounds. The agreement allows KIT scientists and external researchers to use the materials for non-commercial research purposes, following safety and storage guidelines. It defines the transfer process, material usage, and publication of results. The agreement serves as a contractual framework to regulate collaboration between the PROVIDER and KIT through ComPlat. It includes as an attachment the template under which Partner Institutions may order Compounds at KIT ComPlat.
Agreement on the Transfer of Materials via the Compound Platform (ComPlat)
The measurement mode was full-field and the data available here contains the recorded 2D projections, consisting of absorption contrast images. The data is saved in TIFF files each corresponding to one specific energy point and rotation angle. For a description of exact energy points and rotational angles used, see the corresponding publication. This dataset is measured under SCR conditions (1000 ppm NO, 1000 ppm NH3, 7.8% O2 in He as balance gas, flow rate 50 ml/min) at 300°C.
Full-Field XANES tomography data of a Cu-SSZ-13 washcoated monolith: SCR @ 300°C dataset
Processed micro-tomographic scan of the ant Neivamyrmex clavifemur, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tatuidris tatuisa, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tetramorium tsushimae, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains FAIR records which describe the tribological experiment Copper under Variable Normal Load #0002, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Variable Normal Load n0002 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Processed micro-tomographic scan of the ant Dolichoderus cf bidens, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Aphaenogaster lepida, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The dataset contains UV/vis extinction (EXT) and reflection (REF) data of pure pigment layers (cyan, magenta, yellow) printed on a substrate (REF: high quality paper | EXT: overhead transparencies) by a commercial inkjet printer.
# General Information This dataset contains measurement series of spectral data. They all originated from a printing procedure that used inkjet dye of three base colors cyan, magenta and yellow to print individual layers on one of two different substrates. Afterwards, these print samples are analyzed by UV/vis spectroscopy. A sample is created by printing a predefined number of base color layers on top of each other. The designation CCMMYY signifies that, initially, a layer of cyan was printed on the substrate. In the next step, the sample was subjected to a drying process, after which a subsequent layer, in this instance, another layer of cyan, was printed on top. This process was repeated until the final layer, in this case yellow, was printed. There are two types of samples based on the measurement methodology and substrates used: ## 1. Extinction (EXT) **Substrate**: Coated polyester foil (CPF) (Avery Inkjet 2502, Avery Zweckform GmbH, Oberlaindern, Germany) **Measurement**: UV/vis extinction measurement between 380 nm and 800 nm and a spectral resolution of 0.423 nm with a UV/vis spectrometer (*Flame S-XR1*, Ocean Insight, Orlando, FL, USA) in combination with a deuterium-halogen light source (*DH-2000*, Ocean Insight, Orlando, FL, USA) ## 2. Reflection (REF) **Substrate**: High quality paper (HQP) (tecno superior, Inapa Deutschland GmbH, Hamburg, Germany) **Measurement**: UV/vis reflection measurement between 361 nm and 800 nm and a spectral resolution of 1 nm with a UV/vis-NIR spectrometer (*Cary 5000* , Agilent Technologies, Santa Clara CA, USA). # Detailed description of datasets ## Subset 1 - CMY - 4 Layers - EXT This subset is designated as *CMY-4L-P81-EXT*. In total, four color layers were printed on the CPF and then analyzed by UV/vis spectroscopy. All possible combinations were printed and analyzed, resulting in a total of 81 samples. The flag EXT indicates, that a UV/vis extinction measurement was conducted to generate the data of this subset. ## Subset 2 - CMY - 6 Layers - EXT This subset is designated as *CMY-6L-PM90-EXT*. In total, six color layers were printed on the CPF and then analyzed by UV/vis spectroscopy. A specific set of color combinations were printed and analyzed, resulting in a total of 90 samples. The flag EXT indicates, that a UV/vis extinction measurement was conducted to generate the data of this subset. ## Subset 2 - CMY - 6 Layers - REF This subset is designated as *CMY-6L-PM90-REF*. In total, six color layers were printed on the HQP and then analyzed by UV/vis spectroscopy. A specific set of color combinations were printed and analyzed, resulting in a total of 90 samples. The flag REF indicates, that a UV/vis reflection measurement was conducted to generate the data of this subset. # Data types All spectroscopic extinction data is published in the .xlsx (combined spreadsheet) and .npy (separate files) format.
UV/vis Extinction and Reflection Data of Layered Pigment-Dye-Substrate-Composites
Institut für Technik der Informationsverarbeitung (ITIV), Karlsruher Institut für Technologie (KIT)
Dieser Datensatz, gesammelt im Rahmen des CONFES-Systems (context-aware food and beverage preparation machine), umfasst Daten zu 884 Tassen Café Crème, die von 46 Teilnehmern zwischen dem 15. Juli 2024 und dem 27. September 2024 in zwei verschiedenen Arbeitsumgebungen konsumiert und bewertet wurden. Ziel des zugrundeliegenden Experiments ist es, Zusammenhänge zwischen der menschlichen Geschmackswahrnehmung, den Kaffeerezepten (mit besonderem Fokus auf die Coffee-to-Water-Ratio) und dem Umgebungskontext zu identifizieren. Erfasste Daten beinhalten die Coffee-to-Water-Ratio, die Kaffeemehlmenge, die Wassermenge, eine Gesamtbewertung des Kaffees sowie eine separate Intensitätsbewertung. Diese Informationen sollen dazu beitragen, die Rezepturen für Café Crème hinsichtlich Geschmack und Nachhaltigkeit zu optimieren. Der Datensatz bietet wertvolle Einblicke in das Zusammenspiel von Zubereitungsparametern und dem subjektiven Geschmackserlebnis unter verschiedenen Kontextbedingungen und kann für weitere Studien zur automatisierten Optimierung von Kaffeerezepten herangezogen werden.
Grundsätzlich kann die Variable "fbIntensity" als Bewertung gesehen werden, da diese beschreibt, ob der Kaffee "zu schwach", "optimal" oder "zu stark" war. Richtigerweise würde man beschrieben ob der Kaffee zu bitter oder sauer ist, allerdings macht das nur mit ausgebildeten Kaffeetrinkern Sinn, deshalb wurde eine einfachere Bewertungsmethode gewählt. Zu dieser Bewertung kann die Gesamtbewertung "fbGeneral" hinzugezogen werden, welche aus 4 Sternen besteht (1 Stern = schlecht, 2 Sterne = eher schlecht, 3 Sterne = eher gut, 4 Sterne = gut). Der "coffeeWaterRatio" errechnet sich indem man die Varibale "qtyCoffeePowder" (in Gramm) durch die Variable "qtyWater" (in Milliliter) teilt. Je größer dieser Wert ist, desto mehr Kaffeemehl wurde eingesetzt im Vergleich zur Wassermenge. Die unterschiedlichen Wassermengen der zubereiteten Tassen Kaffee resultieren durch unterschiedliche Gefäßgrößen an den zwei verschiedenen Experiment Standorten ("Experiment Location" - "A" und "B"). Zur Auswertung können Uhrzeiten in verschiedene Tagesabschnitte gruppiert werden (morgens, mittags, abends) um die Auswertung zu vereinfachen. Erläuterungen zu weiteren Variablen: Bewertung: "fbFlavor" = Bewertung des Geschmacks bzw. Aromas des Getränks "fbAppearance" = Bewertung des Aussehens des Getränks Getränkeabfrage: "addedSugar" = Wurde Zucker hinzugefügt? (ja/nein) "addedHotWater" = Wurde heißes Wasser hinzugefügt? (ja/nein) "addedCowMilk" / "addedPlantBasedMilk" = Wurde Milch/pflanzenbasierte Milch hinzugefügt? (ja/nein) Umgebungskontext / Wetterdaten: "temperature" = Außentemperatur "humidity" = Umgebungsluftfeuchte "precipitation" = Niederschlagsmenge "pressure" = Umgebungsdruck Persönlicher Kontext: "fatigue" = Wachzustand (tired - normal - hyper focused) "mood" = Stimmung (sad - normal - happy) "feltTemperature" = gefühlte Temperatur (cold - normal - hot) "stress" = Stresslevel (relaxed - normal - stressed) "priorIntake" = Abfrage ob 30min vor dem Kaffee etwas konsumiert wurde "drunkCoffeeinKitchen" = Abfrage ob Kaffee in Kaffeeküche getrunken wurde Persönliche Attribute: Sind Daten über den/die jeweilige Experimentteilnehmer*in: "age", "gender", "height", "weight", "isSmoker", "workoutperWeek", "hasAllergy", "diet", "sodaPerWeek"
This dataset, collected as part of the CONFES system (context-aware food and beverage preparation machine), contains data from 884 cups of Café Crème consumed and evaluated by 46 participants between July 15, 2024, and September 27, 2024, in two different work environments. The underlying experiment aims to explore the relationships between human taste perception, coffee recipes (with a primary focus on the coffee-to-water ratio), and the surrounding context. The data collected includes the coffee-to-water ratio, coffee grounds weight, water volume, an overall rating of the coffee, and a separate intensity rating. These insights are intended to help optimize Café Crème recipes in terms of both taste and sustainability. The dataset provides valuable information about the interaction between preparation parameters and subjective taste experience under varying contextual conditions, serving as a resource for further studies on automated coffee recipe optimization.
Context-aware Food and Beverage Preparation
Coffee Consumption and User Experience Dataset with Machine and Contextual Data
Processed micro-tomographic scan of the ant Ectatomma tuberculatum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Stigmatomma sakaii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tapinoma simrothi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Diese Software umfasst ein Python-Skript, das für die automatische Generierung mehrerer spezieller Druckseiten verwendet wird. Mittels Design of Experiments (DoE) generiert das Programm eine Liste aller möglichen Kombinationen der Grundfarben Cyan (C), Magenta (M) und Gelb (Y), die mit einer variabel einstellbaren Anzahl von Schichten übereinander gedruckt werden sollen. Die Farben der einzelnen Schichten werden dafür platzsparend auf mehrere Druckseiten verteilt.
This software includes a Python script that is used for the automatic generation of several special print pages. Using Design of Experiments (DoE), the program generates a list of all possible combinations of the basic colors cyan (C), magenta (M) and yellow (Y), which are to be printed on top of each other with a variably adjustable number of layers. The colors of the individual layers are distributed over several print pages to save space.
# General Information This Python script is used for the automatic generation of several special print pages. These print pages are combined to create a specific amount of samples. The description of there samples are as follows: The base colors of a commercial printer (Cyan (C), Magenta (M) and Yellow (Y)) are subsequently printed on top of each other. An example would be the sample CCMMYY where there are six layers in total and the base colors are layered from left to right. A graphical representation of there samples can be reviewed in the attached PDF document "concept_art_printing". # Background The print samples are designed to be analyzed in two US/vis spectroscopy setups. Samples that are analyzed by an UV/vis reflection measurement are bigger then samples analyzed in a UV/vis extinction setup. For each setup, a separate version of the script is published. The colors of the individual layers are distributed over several print pages to save space. To create a set of samples, a print page series must be printed (one by one) on a sheet of substrate with a DIN A4 form factor. The amount of print page series are tied to the layer count of the samples. This is because a full factorial DoE aims to generate all possible color combinations of C, M and Y for the set number of layers. # Additional package dependencies 1. numpy 2. matplotlib 3. pyDOE2
Python Program for generating Multi Layer CMYK Base Color Print Pages
Institut für Programmstrukturen und Datenorganisation (IPD), Karlsruher Institut für Technologie (KIT)
These are the experimental data for the paper> Bach, Jakob. "Finding Optimal Diverse Feature Sets with Alternative Feature Selection" published on [arXiv](https://arxiv.org/) in 2023. You can find the paper [here](https://doi.org/10.48550/arXiv.2307.11607) and the code [here](https://github.com/jakob-bach/alternative-feature-selection). See the `README` for details. The datasets used in our study (which we also provide here) originate from [PMLB](https://epistasislab.github.io/pmlb/). The corresponding [GitHub repository](https://github.com/EpistasisLab/pmlb) is MIT-licensed ((c) 2016 Epistasis Lab at UPenn). Please see the file `LICENSE` in the folder `datasets/` for the license text.
# Experimental Data for the Paper "Finding Optimal Diverse Feature Sets with Alternative Feature Selection" These are the experimental data for the paper> Bach, Jakob. "Finding Optimal Diverse Feature Sets with Alternative Feature Selection" published at [arXiv](https://arxiv.org/) in 2023. If we create multiple versions of this paper in the future, these experimental data will cover at least the first version. Check our [GitHub repository](https://github.com/Jakob-Bach/Alternative-Feature-Selection) for the code and instructions to reproduce the experiments. The data were obtained on a server with an `AMD EPYC 7551` CPU (32 physical cores, base clock of 2.0 GHz) and 128 GB RAM. The operating system was `Ubuntu 20.04.6 LTS`. The Python version was `3.8`. With this configuration, running the experimental pipeline (`run_experiments.py`) took about 255 h. The commit hash for the last run of the experimental pipeline (`run_experiments.py`) is [`2212360a32`](https://github.com/Jakob-Bach/Alternative-Feature-Selection/tree/2212360a320121862556bc8d54da45cb6dc8ee93). The commit hash for the last run of the evaluation pipeline (`run_evaluation.py`) is [`487b8ba04d`](https://github.com/Jakob-Bach/Alternative-Feature-Selection/tree/487b8ba04d513881be48fb2bc7b1c1dca416d122). We also tagged both commits (`run-2023-06-23` and `evaluation-2023-07-04`). The experimental data are stored in two folders, `datasets/` and `results/`. Further, the console output of `run_evaluation.py` is stored in `Evaluation_console_output.txt` (manually copied from the console to a file). In the following, we describe the structure and content of each data file. ## `datasets/` These are the input data for the experimental pipeline `run_experiments.py`, i.e., prediction datasets. The folder contains one overview file, one license file, and two files for each of the 30 datasets. The original datasets were downloaded from [PMLB](https://epistasislab.github.io/pmlb/) with the script `prepare_datasets.py`. Note that we do not own the copyright for these datasets. However, the [GitHub repository of PMLB](https://github.com/EpistasisLab/pmlb), which stores the original datasets, is MIT-licensed ((c) 2016 Epistasis Lab at UPenn). Thus, we include the file `LICENSE` from that repository. After downloading from `PMLB`, we split each dataset into the feature part (`_X.csv`) and the target part (`_y.csv`), which we save separately. Both files are CSVs only containing numeric values (categorical features are ordinally encoded in `PMLB`) except for the column names. There are no missing values. Each row corresponds to a data object (= instance, sample), and each column corresponds to a feature. The first line in each CSV contains the names of the features as strings; for `_y.csv` files, there is only one column, always named `target`. `_dataset_overview.csv` contains meta-data for the datasets, like the number of instances and features. ## `results/` These are the output data of the experimental pipeline in the form of CSVs, produced by the script `run_experiments.py`. `_results.csv` contains all results merged into one file and acts as input for the script `run_evaluation.py`. The remaining files are subsets of the results, as the experimental pipeline parallelizes over 30 datasets, 5 cross-validation folds, and 5 feature-selection methods. Thus, there are `30 * 5 * 5 = 750` files containing subsets of the results. Each row in a result file corresponds to one feature set. One can identify individual search runs for alternatives with a combination of multiple columns, i.e.: - dataset `dataset_name` - cross-validation fold `split_idx` - feature-selection method `fs_name` - search method `search_name` - objective aggregation `objective_agg` - feature-set size `k` - number of alternatives `num_alternatives` - dissimilarity threshold `tau_abs` The remaining columns mostly represent evaluation metrics. In detail, all result files contain the following columns: - `selected_idxs` (list of ints, e.g., `[0, 4, 5, 6, 8]`): The indices (starting from 0) of the selected features (i.e., columns in the dataset). Might also be an empty list, i.e., `[]` if no valid solution was found. In that case, the two `_objective` columns and the four `_mcc` columns contain a missing value (empty string). - `train_objective` (float in `[-1,1]`): The training-set objective value of the feature set. Three methods (FCBF, MI, Model Importance) have the range `[0,1]`, while two methods (mRMR, Greedy Wrapper) have the range `[-1,1]`. - `test_objective` (float in `[-1,1]` ): The test-set objective value of the feature set. - `optimization_time` (non-negative float): Time for alternative feature selection in seconds. For white-box feature-selection methods, this measures one solver call. In contrast, wrapper feature selection can call the solver multiple times, and we record the total runtime of the "Greedy Wrapper" algorithm. - `optimization_status` (int in `{0, 1, 2, 6}`): The status of the solver; for wrapper feature selection, this is only the status of the last solver call. - 0 = (proven as) optimal - 1 = feasible (valid solution, but might be suboptimal) - 2 = (proven as) infeasible - 6 = not solved (no valid solution found, but one might exist) - `decision_tree_train_mcc` (float in `[-1,1]`): Training-set prediction performance (in terms of Matthews Correlation Coefficient) of a decision tree trained with the selected features. - `decision_tree_test_mcc` (float in `[-1,1]`): Test-set prediction performance (in terms of Matthews Correlation Coefficient) of a decision tree trained with the selected features. - `random_forest_train_mcc` (float in `[-1,1]`): Training-set prediction performance (in terms of Matthews Correlation Coefficient) of a random forest trained with the selected features. - `random_forest_test_mcc` (float in `[-1,1]`): Test-set prediction performance (in terms of Matthews Correlation Coefficient) of a random forest trained with the selected features. - `k` (int in `{5, 10}`): The number of features to be selected. - `tau_abs` (int in `{1, ..., 10}`): The dissimilarity threshold for alternatives, corresponding to the absolute number of features (`k * tau`) that have to differ between feature sets. - `num_alternatives` (int in `{1, 2, 3, 4, 5, 10}`): The number of desired alternative feature sets, not counting the original (zeroth) feature set. A number from `{1, 2, 3, 4, 5}` for simultaneous search and always `10` for sequential search. - `objective_agg` (string, 2 different values): The name of the quality-aggregation function for alternatives (`min` or `sum`). Min-aggregation or sum-aggregation for simultaneous search but always sum-aggregation for sequential search. (In fact, sequential search only optimizes individual feature sets anyway, so the aggregation does not matter for the search.) - `search_name` (string, 2 different values): The name of the search method for alternatives (`search_sequentially` or `search_simultaneously`). - `fs_name` (string, 5 different values): The name of the feature-selection method (`FCBFSelector`, `MISelector`, `ModelImportanceSelector` (= Model Gain), `MRMRSelector`, or `GreedyWrapperSelector`). - `dataset_name` (string, 30 different values): The name of the `PMLB` dataset. - `n` (positive int): The number of features of the `PMLB` dataset. - `split_idx` (int in `[0,4]`): The index of the cross-validation fold. - `wrapper_iters` (int in `[1,1000]`): The number of iterations in case wrapper feature selection was used, missing value (empty string) in the other cases. This column does not exist in result files not containing wrapper results. You can easily read in any of the result files with `pandas`: ```python import pandas as pd results = pd.read_csv('results/_results.csv') ``` All result files are comma-separated and contain plain numbers and unquoted strings, apart from the column `selected_features` (which is quoted and represents lists of integers). The first line in each result file contains the column names. You can use the following code to make sure that lists of feature indices are treated as such (rather than strings): ```python import ast results['selected_idxs'] = results['selected_idxs'].apply(ast.literal_eval) ```
Experimental Data for the Paper "Finding Optimal Diverse Feature Sets with Alternative Feature Selection"
# 🔬️ Experiment Evaluation Python module for the evaluation of lab experiments. The module implements functions to import meta-data of measurements, filters to search for subsets of them and routines to import and plot data from this meta-data. It works well in its original context but is currently in open alpha since it will be restructured in order to be compatible with new lab environments. Examples of its usage in scientific works will soon be published by the author that can be used to reference it. Feel free to use it for your own projects and to ask questions. For now you can cite this repository as source. # 💻️ Installation You need a running python3 installation on your OS. The module was written on Debian/GNU-Linux, was tested on Windows and should also run on other OS. It is recommended to work in an virtual environment (see the official python documentation -> from bash: `python3 -m venv exp_env` `source exp_env/bin/activate`) or conda installation. ## Dependencies Dependencies are the usual scientific modules like numpy, matplotlib, pandas but also astropy. See the `requirements.txt` from that you should be able to install the library with ``` pip install pip -U # Update pip itself pip install -r /path/to/requirements.txt ``` Alternatively you can also install the required modules from the shell etc.. The author recommends to also install jupyter that includes the interactive ipython: ``` # Example via pip pip install jupyter pip install numpy pip install matplotlib pip install scipy pip install pandas pip install astropy pip install mplcursors pip install pynufft # pip install python-slugify # make sure this version of slugify is installed and not 'slugify' ``` ## The module itself Inside your virtual environment there is a folder `exp_env/lib/python3.../site-packages`. Place the file `experiment_evaluation.py` inside this folder (or a new sub-folder with all your personal scientific code) to make it accessible. From within your code (try it from an interactive ipython session) you should now be able to import it via: ``` import experiment_evaluation as ee # or from subfolder: import my_scientific_modules.experiment_evaluation as ee ``` ### Matplotlib style In order to use the fancy custom styles (for example for consistent looking graphs throughout your publication) it is advised to use matplotlib styles. For the provided styles, copy the custom styles "thesis_default.mplstyle" etc. from the folder `stylelib` inside your matplotlib library folder: `lib/python3.9/site-packages/matplotlib/mpl-data/stylelib/*.mplstyle` # 🧑‍💻 Usage A good way to learn its usage is to have a look at the [example](examples/example_experiment_evaluation.ipynb) file. But since the module is work in progress we first explain some concepts. ## ✨ Why meta-data? The module automates several steps of experiment evaluations. But the highlight is its capability to handle experimental meta-data. This enables the user to automatically choose and plot data with a question in mind (example: plot all EQE-curves at -2V and 173Hz) instead of repeatedly choosing files manually. For calculations that need more than one measurement this becomes extremely useful but also for implementing statistics. Meta data include things like experimental settings (applied voltage on a diode, time of the measurement, temperature etc.), the experimentalist and technical informations (file-format etc., manufacturer experimental device). The module includes some generic functions but to use it for your specific lab environment you might need to add experiment and plot specific functions. ## 💾️ How to save your experiment files? In general lab measurement files stem from different devices and export routines. So frankly speaking lab-data is often a mess! But to use automatic evaluation tools some sort of system to recognize the measurement-type and store the meta-data is needed. In an ideal world a lab would decide on one file format for all measurements and labels them systematically. To include different data-types and their meta-data within one file-type there exists the *.asdf (advanced scientific data format, see their [documentation](https://asdf.readthedocs.io/en/stable/index.html) for further insight). So if you are just starting with your PhD try to use this file format everywhere ;). Also to make experiments distinguishable every experiment needs an unique identifier. So you also should number every new experiment with an increasing number and the type of the experiment. Example of useful file naming for EQE measurements: `Nr783_EQE.asdf` In the case of my PhD I decided to use what I found: store the different file formats, store them in folders with the name of the experiment and include meta-data in the file-names (bad example: `EQE/Nr783_3volt_pix1.csv`). This was not the best idea (so learn from what I learned :P) To handle that mess, this module therefore implements also some regular-expressions to extract meta-data from file-names (`ee.meta_from_filename()`), but in general it is advised to store all meta-data in the file-header (with the exception of the unique identifier and experiment type). Like this you could store your files in whatever folder structure you like and still find them from within the script. The module then imports meta-data from the files into a database and you can do fancy data-science with your data! ## 📑️ Database For calculations and filtering of datasets the meta-data and data needs to be accessible in a machine readable form. For the time being the module imports all meta-data into a pandas DataFrame that represents our database (For very large datasets this would possibly be needed to be changed). For this we have to name the root folder that includes all experiment files/folders. **Hint**: If you did not follow the unique labeling/numbering for all your experiments you can still use this module by choosing a root folder that only includes the current experiment. ``` from pathlib import Path measurement_root_folder = Path("/home/PhD/Data/") ``` We can specify some pre-filtering for the specific experiment we want to evaluate: ``` # make use of the '/' operator to build OS independant paths measurement_folder = measurement_root_folder / "LaserLab" / "proximity-sensor" / "OPD-Lens" / "OPD-Lens_v2" # Define some pre-filter devices = [nr for nr in range(1035, 1043)] # Unique sample numbers of the experiment listed by list-comprehension explst = "Mervin Seiberlich" ``` Then we import the metadata into the pandas DataFrame database via `ee.list_measurements()` and call it *meta-table*: ``` meta_table = ee.list_measurements(measurement_root_folder, devices, experimentalist=explst, sort_by=["measurement_type", "nr", "pix", "v"]) ``` ### 💡️ Advanced note: Internally `ee.list_measurements()` uses custom functions to import the experiment specific meta-data. Have a look into the source-code and search for `read_meta` for an example how this works in detail. With the *.asdf file-format only the generalized import function would be needed. ## Import data and meta-data To import now some measurement data for plotting we use the information inside *meta_table* with custom import routines and python dictionaries implementing our filters: ``` # Distinguish between reference and other measurments lens = {"nr":devices[:5]} ref = {"nr":devices[5:]} # Select by bias and compare reference samples with lens (**dict unpacks the values to combine two or mor dictionaries) eqe_lens_0V = ee.import_eqe(meta_table, mask_dict={**lens, **{"v":0}}) eqe_ref_0V = ee.import_eqe(meta_table, mask_dict={**ref, **{"v":0}}) ``` This yields python lists `eqe_lens_0V = [table1, table2, ... tableN]` with the selected data ready for plotting (Lists are maybe not smart for huge dataset and some N-dimensional object can replace this in future). Note: The tables inside the list are [astropy.QTable()](https://docs.astropy.org/en/stable/table/index.html) objects including the data and meta-data, as well as units! So with this few lines of code you already did some advanced data filtering and import! ## 🌡️ Physical units The module astropy includes a submodule astropy.units. Since we deal with real world data, it is a good idea to also include units in calculations. ``` import astropy.units as u # Radius of one microlens: r = 98 * u.um ``` ## 📝️ Calculations If you have to repeatedly do some advanced calculations or fits for some plots, include them as functions in the source-code. An example would be `ee.pink_noise()` ## 📊️ Plots For plotting there exists many modules in python. Due to its grate power we use matplotlib. This comes with the cost of some complexity (definitely have a look at its [documentation!](https://matplotlib.org)). But this enables us for example to have a consistence color style, figure-size and text-size in large projects like a PhD-thesis: ``` mpl.style.use(["thesis_default", "thesis_talk"]) # We use style-sheets to set things like figure-size and text-size, see https://matplotlib.org/stable/tutorials/introductory/customizing.html#composing-styles w,h = plt.rcParams['figure.figsize'] # get the default size for figures to scale plots accordingly ``` In order to not invent the wheel over and over again it makes sense to wrap some plotting routines for each experiment inside some custom functions. For further detail see the [documentation/recommended function signature for matplotlib specialized functions](https://matplotlib.org/2.0.2/faq/usage_faq.html#coding-styles). This enables easy experiment-type specific plotting (even with statistics) once all functions are set up: ``` # %% plot eqe statistics fig, ax = plt.subplots(1,1, figsize=(w, h), layout="constrained") ee.plot_eqe(ax, eqe_lens_0V, statistics=True, color="tab:green", plot_type="EQE", marker=True, ncol=2) ee.plot_eqe(ax, eqe_ref_0V, statistics=True, color="tab:blue", plot_type="EQE", marker=True, ncol=2) ax.set_ylim(0,60) ax.legend(["Lens","$1\sigma - Lens$", "Reference", "$1\sigma - reference$"], loc="lower left", ncol=2) ``` Only 5 lines of code! For further details see the [example](examples/example_experiment_evaluation.ipynb) file! # 📖 FAQ 1. How do I get further information about the functions of the module? Use the doc-string! In jupyter-lab or ipython type for example `ee.plot_eqe?` to read more about the custom plot function for eqe measurements 2. How do I exclude some specific measurements (outliers, false_measurements)? Import functions now implement an `exclude` argument comprising a list of dictionarys to exclude specific data. ``` data_dark_pcbm_ref = ee.import_iV(meta_table, A=0.01*u.cm**2, mask_dict={"nr":PCBM, **pix}, exclude=[{"c":[25,150]}, {"solventOnly":True}]) ``` Sometimes it is helpful to only append single measurements by the += operator though. Here is an example: ``` data_ldr_0V = ee.import_ldr(meta_table, mask_dict={"nr":[1035, 1036, 1037, 1038, 1039, 1040, 1041], "v":0, "custompower":[0, 9.5]}) data_ldr_0V += ee.import_ldr(meta_table, mask_dict={"nr":1042, "pix":1, "v":0, "custompower":[0, 9.5]}) ``` # 👥️ Contributors and acknowledgment Many question were answered by searching through forums and the author is very thankful for the culture of openness in the FOSS community. A warm thank you goes to [Jyh-Miin Lin](https://github.com/jyhmiinlin) who provided a helpful example and explanations on how to use the excellent [pynufft](https://github.com/jyhmiinlin/pynufft) package for non-uniform FFT. # 💌️ License License: Copyright (C) 2022-2023 Mervin Seiberlich Author - Mervin Seiberlich This file is part of experiment_evaluation. experiment_evaluation is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. experiment_evaluation is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with experiment_evaluation. If not, see <https://www.gnu.org/licenses/>.
Python module for the evaluation of lab experiments. The module implements functions to import meta-data of measurements, filters to search for subsets of them and routines to import and plot data from this meta-data. It works well in its original context but is currently in open alpha since it will be restructured in order to be compatible with new lab environments.
IASI (Infrared Atmospheric Sounding Interferometer) is the core instrument of the currently three Metop satellites of EUMETSAT (European Organization for the Exploitation of Meteorological Satellites). The MUSICA IASI processing has been developed in the framework of the European Research Council project MUSICA (MUlti-platform remote Sensing of Isotopologues for investigating the Cycle of Atmospheric water). The MUSICA IASI processor performs an optimal estimation of the vertical distributions of H2O, the ratio HDO/H2O, N2O, CH4, and HNO3, and works with IASI radiances measured for cloud-free conditions in the spectral window between 1190 and 1400 cm-1. This data file encompasses the retrieval output (processing with version 3.2.1) for a total of 74 observations over the polar site of Sodankylä (67.4°N), the mid-latitudinal site of Lindenberg (52.2°N), and the tropical site of Manus Island (2.0°N). In addition to the variables of the standard output data files, this extended output data file contains detailed information on Jacobians and gain matrices. The extended output information can be used to assess the impact of different uncertainty sources, like surface emissivity or spectroscopic parameters, and different cloud types on the retrieval results, for the three different climate zones (polar, mid-latitudinal, tropical). The corresponding MUSICA IASI full retrieval product standard output is accessible via https://doi.org/10.35097/408 and the MUSICA IASI full retrieval and its extended and standard outputs are described in detail in Schneider et al. (2022, https://doi.org/10.5194/essd-14-709-2022).
Remote Sensing, Satellite, Metop, IASI, MUSICA, Atmospheric Composition, H2O, HDO, Water Vapour, Water Vapour Isotopologues, N2O, nitrous oxide, CH4, methane, HNO3, nitric acid, Jacobian matrix, Gain matrix
MUSICA IASI full retrieval product extended output (processing version 3.2.1)
This dataset consists of raw and processed images obtained in droplet impingement experiments in a shadowgraphy method with additional color-coded glare points. The raw images are saved in the uncompressed file format .tif and processed images are saved as .png.
The present work introduces a deep learning approach for the three-dimensional reconstruction of the spatio-temporal dynamics of the gas-liquid interface on the basis of monocular images obtained via optical measurement techniques. The method is tested an evaluated at the example of liquid droplets impacting on structured solid substrates. The droplet dynamics are captured through high-speed imaging in an extended shadowgraphy setup with additional glare points from lateral light sources that encode further three-dimensional information of the gas-liquid interface in the images. A neural network is trained for the physically correct reconstruction of the droplet dynamics on a labelled dataset generated by synthetic image rendering on the basis of gas-liquid interface shapes obtained from direct numerical simulation. The employment of synthetic image rendering allows for the efficient generation of training data and circumvents the introduction of errors resulting from the inherent discrepancy of the droplet shapes between experiment and simulation. The accurate reconstruction of the three-dimensional shape of the gas-liquid interface during droplet impingement on the basis of images obtained in the experiment demonstrates the practicality of the presented approach. The introduction of glare points from lateral light sources in the experiments is shown to improve the reconstruction accuracy, which indicates that the neural network learns to leverage the additional three-dimensional information encoded in the images for a more accurate depth estimation. By the successful reconstruction of obscured areas in the input images, it is demonstrated that the neural network has the capability to learn a physically correct interpolation of missing data from the numerical simulation. Furthermore, the physically reasonable reconstruction of unknown gas-liquid interface shapes for drop impact regimes that were not contained in the training dataset indicates that the neural network learned a versatile model of the involved two-phase flow phenomena during droplet impingement.
Spatio-temporal reconstruction of droplet impingement dynamics by means of color-coded glare points and deep learning
This study presents parts of the research conducted within the DAMAST and DAMAST-Transfer projects, specifically focusing on rock mechanics tests at the KIT-Spartak and KIT-2 boreholes. Most analyses, including uniaxial compression tests to determine the rock density, unconfined compressive strength (UCS) and Young's modulus, were conducted by the Institute of Soil Mechanics and Rock Mechanics laboratory at KIT. More information on the DAMAST and DAMAST-Transfer project on https://www.damast-caucasus.de/. A project overview is also given in Niederhuber et al. (2024).
Federal Ministry of Education and Research
Rock Mechanics Parameters of Boreholes in the Vicinity of the Enguri High Arch Dam in Georgia
Physikalisches Institut (PHI), Karlsruher Institut für Technologie (KIT), Institut für QuantenMaterialien und Technologien (IQMT), Karlsruher Institut für Technologie (KIT)
This data was generated at KIT. Corresponding publication: https://arxiv.org/abs/2312.04211
Readout error mitigated quantum state tomography tested on superconducting qubits
This dataset contains FAIR records which describe the tribological experiment Copper under Variable Normal Load #0041, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Variable Normal Load n0041 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Institut für Wirtschaftsinformatik und Marketing (IISM), Karlsruher Institut für Technologie (KIT)
The data includes the sustainability reports for the DAX40 companies used in the study for the three years of the study period. Additionally, the description text from the official SDG website are included.
Reading Between the Green Lines: A Framework for Scalable Greenwashing Detection - Data Set
Numerical experiments to "A unified error analysis for nonlinear wave-type equations with application to acoustic boundary conditions" (Version 3)
Polymersome Project_Fluorescence response curves dataset.xlsx
Processed micro-tomographic scan of the ant Discothyrea sexarticulata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Release notes: https://git.scc.kit.edu/mpp/mpp/-/tags/3.1.3
Folder SEM_images includes all original SEM images, which are shown in the Paper. Folder FIB_images includes all FIB images of the Auto Slice and View procedure. HFW = 20.7µm Folder Dimenions and Shrinkage includes SEM images of investigated tetrahedral structures and corresponding table with dimensions and shrinkage calculation (pdf).
Architectural tunability of mechanical metamaterials in the nanometer range
Processed micro-tomographic scan of the ant Formica polyctena, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Colobopsis truncata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Ponerinae sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Camponotus polyrhachiodes, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The database for the project "MERID - Mikrostruktureller Einfluss auf die Reservoirintegrität bei variablen hydromechanischen Druckbedingungen - Charakterisierung von porösen Reservoirsandsteinen zum Erstellen digitaler Gesteinsmodelle" contains the data of measurements and analyses of the Department of Structural Geology and Tectonics. The database contains all point-count results, measurements of porosity and permeability (up to 50 MPa confining pressure), and the measured geotechnical parameters of individual samples.
Die Datenbank zu "MERID - Mikrostruktureller Einfluss auf die Reservoirintegrität bei variablen hydromechanischen Druckbedingungen - Charakterisierung von porösen Reservoirsandsteinen zum Erstellen digitaler Gesteinsmodelle" enthält die erhobenen Daten aus Messungen und Analysen der Arbeitsgruppe Strukturgeologie und Tektonik. Enthaltene Daten sind die Point-Counting Ergebnisse, Messungen der Porosität und Permeabilität (bis 50 MPa Umgebungsdruck) und die gemessenen Geomechanischen Kennzahlen einzelner Proben.
Data may be used for individual non-commercial research projects without being altered or modified.
Datenbank zu MERID - Mikrostruktureller Einfluss auf die Reservoirintegrität bei variablen hydromechanischen Druckbedingungen - Charakterisierung von porösen Reservoirsandsteinen zum Erstellen digitaler Gesteinsmodelle
Tabletop Microplotter - Height Adjustment for Webcam Holder
Processed micro-tomographic scan of the ant Aphaenogaster exasperata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Strumigenys hispida, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Leptogenys cf binghamii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Stenamma debile, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The data includes the main results from the 360° electron tomography work, images in format of jpeg and tif, and presentations in format of ppt.
Processed micro-tomographic scan of the ant Ectomomyrmex insulanus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Sericomyrmex cf parvulus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cephalotes placidus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Lasius cf flavus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tapinoma saohime, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Acropyga decedens, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This repository contains all data relevant for the PhD thesis "Spatio-Temporal Interface Reconstruction by Means of Glare Points and Deep Learning" by Maximilian Dreisbach that has not been previously published elsewhere. This includes image data from experiments and the weights of neural networks trained for the spatio-temporal reconstruction of the gas-liquid interface on the basis of this measurement data. In particular glare-point shadowgraphy experiments involving droplet impingement on patterned substrates and the respective trained networks can be found in this repository.
Spatio-Temporal Interface Reconstruction by Means of Glare Points and Deep Learning (research data)
Processed micro-tomographic scan of the ant Strumigenys petiolata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Polyrhachis wolfi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tetramorium simillimum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cardiocondyla venustula (globinodis form), scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
cardiocondyla venustula (globinodis form)
Processed micro-tomographic scan of the ant Tetramorium pullulum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains FAIR records which describe the tribological experiment Copper under Variable Normal Load #0007, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Variable Normal Load n0007 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Due to its high energy density, lithium metal is a promising electrode for future energy storage. However, its practical capacity, cyclability and safety heavily depend on controlling its reactivity in contact with liquid electrolytes, which leads to the formation of a solid electrolyte interphase (SEI). In particular, there is a lack of fundamental mechanistic understanding of how the electrolyte composition impacts the SEI formation and its governing processes. Here, we present an in-depth model-based analysis of the initial SEI formation on lithium metal in a carbonate-based electrolyte. Thereby we reach for significantly larger length and time scales than comparable molecular dynamic studies. Our multiscale kinetic Monte Carlo/continuum model shows a layered, mostly inorganic SEI consisting of LiF on top of Li2CO3 and Li after 1 µs. Its formation is traced back to a complex interplay of various electrolyte and salt decomposition processes. We further reveal that low local Li+ concentrations result in a more mosaic-like, partly organic SEI and that a faster passivation of the lithium metal surface can be achieved by increasing the salt concentration. Based on this we suggest design strategies for SEI on lithium metal and make an important step towards knowledge-driven SEI engineering.
The published source data file contains the underlying data of all figures of the manuscript and Supplementary Information of the publication “Knowledge-driven design of Solid-Electrolyte Interphases on lithium metal via multiscale modelling”. The source data of each figure is presented in a single sheet named after the corresponding figure. Legends are given if required. Please note that the source data of the kMC boxes is provided as xyz coordinates and that each species number corresponds to a chemical species (cf. legend). Numerical details: The kMC/continuum model was implemented in MATLAB R2021a and differential equations were solved with the ode15s solver. The calculations were performed on an i7-8000 CPU with 16 GB RAM. For detailed information on the modelling approach see the Method section in the manuscript and the Supplementary Information.
Knowledge-driven design of Solid-Electrolyte Interphases on lithium metal via multiscale modelling
This dataset includes files for HELIOS++ (version 1.0.7).
We combine forest inventory information, a tree point cloud database and the open-source laser scanning simulation framework HELIOS++ to generate synthetic laser scanning data of forests. Airborne laser scanning data of six 1-ha plots in temperate, central European forests was simulated and compared to real ALS data of these plots. The synthetic 3D representations of the forest stands were composed of real ALS point clouds of single trees, and, for comparison, simplified tree models with cylindrical stems and spheroidal crowns, both in form of penetrable point clouds and with an impenetrable surface. This dataset includes the HELIOS++ data files to reproduce the simulations: - the height normalized original ALS point clouds - the synthetic forest stand point clouds - soil layers - scene files - survey files
Generating synthetic laser scanning data of forests by combining inventory information, a tree point cloud database and an open-source laser scanning simulator [Data to reproduce simulations]
Processed micro-tomographic scan of the ant Pheidole aberrans, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains FAIR records which describe the tribological experiment Copper under Variable Normal Load #0040, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Variable Normal Load n0040 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Processed micro-tomographic scan of the ant Tapinoma cf melanocephalum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Using Machine Learning Techniques in general and Deep Learning techniques in specific needs a certain amount of data often not available in large quantities in some technical domains. The manual inspection of Machine Tool Components, as well as the manual end of line check of products, are labour intensive tasks in industrial applications that often want to be automated by companies. To automate the classification processes and to develop reliable and robust Machine Learning based classification and wear prognostics models there is a need for real-world datasets to train and test models on.
The dataset contains 1104 channel 3 images with 394 image-annotations for the surface damage type “pitting”. The annotations made with the annotation tool labelme, are available in JSON format and hence convertible to VOC and COCO format. All images come from two BSD types. The dataset available for download is divided into two folders, data with all images as JPEG, label with all annotations, and saved_model with a baseline model. The authors also provide a python script to divide the data and labels into three different split types – train_test_split, which splits images into the same train and test data-split the authors used for the baseline model, wear_dev_split, which creates all 27 wear developments and type_split, which splits the data into the occurring BSD-types. One of the two mentioned BSD types is represented with 69 images and 55 different image-sizes. All images with this BSD type come either in a clean or soiled condition. The other BSD type is shown on 325 images with two image-sizes. Since all images of this type have been taken with continuous time the degree of soiling is evolving. Also, the dataset contains as above mentioned 27 pitting development sequences with every 69 images. Instruction dataset split The authors of this dataset provide 3 types of different dataset splits. To get the data split you have to run the python script split_dataset.py. Script inputs: split-type (mandatory) output directory (mandatory) Different split-types: train_test_split: splits dataset into train and test data (80%/20%) wear_dev_split: splits dataset into 27 wear-developments type_split: splits dataset into different BSD types Example: C:\Users\Desktop>python split_dataset.py --split_type=train_test_split --output_dir=BSD_split_folder Result: ./BSD_slit_folder/train/ and ./BSD_slit_folder/test/
Industrial Machine Tool Element Surface Defect Dataset
Data of study I and study III of the dissertation "The Gamification of Crowdsourcing Systems: Empirical Investigations and Design" by Benedikt Morschheuser 2017: DOI: 10.5445/IR/1000074115
Data Dissertation Morschheuser Study I and Study III
Processed micro-tomographic scan of the ant Kartidris ashima, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Eciton burchelli, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pheidole gertrudae, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Atta sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Hagensia havilandi marleyi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Proatta sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains FAIR records which describe the tribological experiment Copper under Variable Normal Load #0006, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Variable Normal Load n0006 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Processed micro-tomographic scan of the ant Apomyrma stygia, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Aenictus ceylonicus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Lepisiota nigra, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pheidole ochracea, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pseudomyrmex triplarinus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Okinawa Institute of Science and Technology Graduate University
Neural network developed to segment ants from tomographic datasets acquired within the Antscan initiative (https://www.antscan.info), detailed in Katzke et al. 2025. This trained network is intended to be reused or retrained within the Biomedisa deep learning framework (https://github.com/biomedisa/).
Neural network for segmentation of ant tomograms
Release notes: https://git.scc.kit.edu/mpp/mpp/-/tags/3.1.5
Processed micro-tomographic scan of the ant Lophomyrmex sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tapinoma indicum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The file contains seismic station locations and amount of data collected during the temporary deployment.
Temporary deployment of 84 geophones 4.5Hz + datacube across the Antofagasta region in northern Chile to record the background seismicity in the area. The network operated for 8 months, from March to October 2020. Data will be available through the FDSN/EIDA service hosted at the GFZ-Potsdam. The waveform data is embargoed until 31.12.2024. FDSN network information can be found at DOI 10.7914/mc8r-ft72
Release notes: https://git.scc.kit.edu/mpp/mpp/-/tags/3.1.6
These are raw TEM data files, including EDX, SAD, and HRTEM, acquired in the .emd format. Velox software is required to view and analyze these files.
Transmission electron microscopy analysis
The measurement mode was full-field and the data available here contains the recorded 2D projections, consisting of absorption contrast images. The data is saved in TIFF files each corresponding to one specific energy point and rotation angle. For a description of exact energy points and rotational angles used, see the corresponding publication. This dataset is one reference measurement with 1000 ppm NH3 in He at 200 °C.
Full-Field XANES tomography data of a Cu-SSZ-13 washcoated monolith: NH3 @ 200°C dataset
ANDeS: An automated nanoliter droplet selection and collection device
Processed micro-tomographic scan of the ant Crematogaster crinosa, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tetraponera merita, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The two folders comprise data of the photoreactor optimization and analysis reported in the linked article. The folder with the photoreactor optimization data comprises code and simulation results. The folder with the photoreactor analysis comprises simulation results and experimental results in the corresponding subfolders. The code is written in MATLAB. Reading and modifying the code requires a working MATLAB environment. Running the code may further require the MATLAB global optimization toolbox and the MATLAB parallel computing toolbox.
Solar-driven processes inspire hopes and dreams of a sustainable future on planet earth. However, the design and optimization of photoreactors for specific reaction systems is a complex task at the interface of material science and engineering. The objective of the design process is, thereby, to derive a photoreactor that provides both optimal operating conditions and a high efficiency of radiation transport. The published data set accompanies the publication ‘Low-cost photoreactors for highly photon/energy-efficient solar-driven synthesis’, DOI: XYZ. The referenced manuscript introduces reflective multi-pass photoreactors, an optimization strategy for such photoreactors, underlines the validity of the chosen approach by the experimental demonstration of a potassium iron(III) oxalate photoreduction, and lastly derives a concise design guideline that supports the adaptation to other reaction systems. The published dataset comprises the optical simulation environment, the optimization algorithm code, the simulation results, and experimental data presented in the manuscript.
Sonnengestützte Prozesse inspirieren Hoffnungen und Träume von einer nachhaltigen Zukunft auf dem Planeten Erde. Das Design und die Auslegung von Fotoreaktoren für spezifische Reaktionssysteme ist jedoch eine komplexe Aufgabe an der Schnittstelle zwischen Materialwissenschaften und Engineering. Die Zielstellung des Auslegungsprozesses ist es dabei stets einen Fotoreaktor zu entwerfen, der sowohl optimale Betriebsbedingungen als auch eine hohe Strahlungstransporteffizienz sicherstellt. Der Veröffentlichte Datensatz begleitet die Veröffentlichung ‘Low-cost photoreactors for highly photon/energy-efficient solar-driven synthesis’, DOI: XYZ. Die genannte Veröffentlichung führt dabei reflektionsbasierte multipassagen Fotoreaktoren und eine Optimierungsstrategie für solche Fotoreaktoren ein. Das Manuskript unterstreicht die Validität des Konzepts durch die experimentelle Demonstration einer Fotoreduktion von Kaliumeisen(III)oxalat und leitet zuletzt eine Designrichtlinie ab, die die Adaption des Fotoreaktors auf andere Reaktionssysteme erleichtert. Der veröffentlichte Datensatz umfasst die verwendete optische Simulationsumgebung, den Code des Optimierungsalgorithmus, Simulationsergebnisse und experimentelle Ergebnisse, die im referenzierten Manuskript dargestellt werden.
Low-cost photoreactors for highly photon/energy-efficient solar-driven synthesis: code, simulation data, and experimental data
In the following some data description is provided: - date format is dd/mm/yyyy - every transmission line is in one column: - data is given as follows "color / int W": int W indicates the amount of load in Watt [W] on the respective line, color indicates the ratio of load and thermal capacity limit: green: below 50 percent, yellow between 50 and 70 percent, red over 70 percent of the thermal capacity limit or grey if no data could be published
The data sets comprise hourly congestion data of the transmission system operator 50 Hertz from 2015 to 2017. 50 Hertz GmbH and TenneT GmbH are the TSOs in Germany, which suffer the most from congestion in their grids (96 % of German transmission grid congestion appears here). While other German TSOs do not publish their respective congestion data, 50 Hertz GmbH provides hourly values. The data is not preprocessed but merged into one file to allow faster analysis. This data is part of a larger data set on congestion in the German electricity grids from 2015 to 2017. The related datasets are referenced below. The publication of this data set was supported by the German Research Foundation (DFG) as part of the Research Training Group GRK 2153: Energy Status Data - Informatics Methods for its Collection, Analysis and Exploitation.
Processed micro-tomographic scan of the ant Dorymyrmex aff pyramicus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant 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 Camponotus obscuripes, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pachycondyla sakishimensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The MobimaSkidroads, consists of 293 images captured while driving on a skid or forest road with an industrial camera mounted on a vehicle. The dataset is completely in 16:9 landscape format and includes mixed and coniferous forests in summer and winter. The dataset includes mask and bounding box annotations for the five object classes: - Stems (0): Trunks and cutted trees with a diameter of approx. ≥10 cm - Trees (1): Trees with a diameter of approx. ≥10 cm - Stumps (2): Tree stumps - Obstacles (3): Non-passable objects not being subject to any of the other groups (e.g. stones, raised hides, way signs) - Persons (4): Complete or partially visible humans
Processed micro-tomographic scan of the ant Ectatomma muticum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Raw data and optical as well as electron microscopy images for brass CuZn5, CuZn15 and CuZn36 study
This is raw data starting back from 2014. Some of the meta data might be found in internal IAM-CMS archives or lab notebooks
Single cell simulations of KCNQ1 mutants using human myocyte models. Use external/runAll.py to launch all simulations.
Single human myocyte simulations of KCNQ1 mutants (v1.0)
The folder includes a set of RapidMiner processes that allow the reconstruction of the analysis presented in the dissertation.
The data are the netcdf outputs from ICON-ART simulations. Except for interpolation from native ICON grid to Cartesian coordinates, no post-processing has been applied. Meta data of the variables are contained within the files. For scenarios 'REF', 'SEED', and 'TRGT', output is available hourly for a 24 hours period. Output for sensitivity studies is available only for simulation hour 24 in files 'DIA<X>_<Y>...'. With <X> referring to seeding aerosol diameter and numbers <Y> referring to seeding aerosol peak number concentrations in ascending order.
This dataset contains FAIR records which describe the tribological experiment Copper under Constant Normal Load #0008, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0008 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
This dataset contains FAIR records which describe the tribological experiment Copper under Constant Normal Load #0010, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0010 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Processed micro-tomographic scan of the ant Carebara trechideros, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains FAIR records which describe the tribological experiment Copper under Constant Normal Load #0015, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0015 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Simulated concentration data for birch pollen, birch SPP and hydrometeors and atmospheric variable (Part 16)
Simulated concentration data for birch pollen, birch SPP and hydrometeors and atmospheric variable (Part 5)
This dataset contains FAIR records which describe the tribological experiment Copper under Variable Normal Load #0025, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Variable Normal Load n0025 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Synchrotron X-ray microtomographic data of the fossil insect Protodeuterophlebia oosterbroeki preserved in Burmese amber (described in Krzemińska et al. 2024). To create this dataset, four tomograms were merged into a single volume, converted to 8 bits, and the gray values were inverted.
Micro-CT data of Protodeuterophlebia oosterbroeki
Rohdaten zur Publikation Automatic Adaptive Gain for Magnetic Resonance Sensitivity Enhancement DOI : 10.1021/acs.analchem.8b05148
Dataset to the publication 'Automatic Adaptive Gain for Magnetic Resonance Sensitivity Enhancement'
Simulation results tagged f05493 (see appendix A) generated using Inovesa (10.5281/zenodo.1243264). The data is usable utilizeing e.g. the scripts provided at https://github.com/Inovesa/examples.
This dataset contains FAIR records which describe the tribological experiment Copper under Constant Normal Load #0024, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0024 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
The download package includes a README.md file which contains installation instructions and instructions on how to use the provided scripts
This software package contains the implementation of the approximate inverse for 2D linear seismic imaging.
A microlocal and visual comparison of 2D Kirchhoff migration formulas - software package