MUNDEX (MUltimodal UNderstanding of EXplanations) is a multimodal corpus for studying the understanding of explanations. It was collected in the Project A02 “Monitoring the Understanding of Explanations” of the TRR 318 Constructing Explainability. The corpus has been build to examine the dynamics of multimodal interaction within ongoing explanations. In the explanation scenario, a speaker (the explainer, EX) explains how to play a board game to a recipient (the explainee, EE). In order to study individual variation in the use of multimodal feedback while avoiding confounding factors such as the explainer's individual explanation strategies, one explainer engages in explanatory dialogues with two or three different explainees one after another.This data publication only contains the annotations of interactions. Video and audio files have not been released in order to protect the participants' privacy. The annotation manual can be found in Lazarov, Türk et al. (2025, https://doi.org/10.17605/OSF.IO/J2DHA).

MUNDEX (MUltimodal UNderstanding of EXplanations) is a multimodal corpus for studying the understanding of explanations. It was collected in the Project A02 “Monitoring the Understanding of Explanations” of the TRR 318 Constructing Explainability. The corpus has been build to examine the dynamics of multimodal interaction within ongoing explanations. In the explanation scenario, a speaker (the explainer, EX) explains how to play a board game to a recipient (the explainee, EE). In order to study individual variation in the use of multimodal feedback while avoiding confounding factors such as the explainer's individual explanation strategies, one explainer engages in explanatory dialogues with two or three different explainees one after another.This data publication only contains the annotations of interactions. Video and audio files have not been released in order to protect the participants' privacy. The annotation manual can be found in Lazarov, Türk et al. (2025, https://doi.org/10.17605/OSF.IO/J2DHA).

This dataset, compiled by the German Kompetenznetzwerk Bibliometrie, provides access to curated bibliometric data in OpenAlex focussing on the German research landscape. Curated data is provided for following entities:- Address information- Publishers- Funding information- Document types- Transformative agreements- Authors (tba)For an overview about the tables included, see data-overview.md This release is based on the August 2024 snapshot of OpenAlex. The OPENBIB snapshot is offered in both CSV and JSONL format.This is a initial release to demonstrate the current state of metadata curation. The aim is to continue these efforts and improve the curation together with the community and data providers. Data is made available under the CC0 license. Github repository: https://github.com/kbopenbib/kbopenbib_data/

This dataset, compiled by the German Kompetenznetzwerk Bibliometrie, provides access to curated bibliometric data in OpenAlex focussing on the German research landscape. Curated data is provided for following entities:- Address information- Publishers- Funding information- Document types- Transformative agreements- Authors (tba)For an overview about the tables included, see data-overview.md This release is based on the August 2024 snapshot of OpenAlex. The OPENBIB snapshot is offered in both CSV and JSONL format.This is a initial release to demonstrate the current state of metadata curation. The aim is to continue these efforts and improve the curation together with the community and data providers. Data is made available under the CC0 license. Github repository: https://github.com/kbopenbib/kbopenbib_data/

Initial data management plan of Bluetools project

Initial data management plan of Bluetools project

TwinLife ist eine auf zwölf Jahre angelegte repräsentative verhaltensgenetische Studie zur Entwicklung von sozialen Ungleichheiten. Für eine detaillierte Studien-Dokumention besuchen Sie bitte https://www.twin-life.de/documentation/.Das Langfristvorhaben begann im Jahr 2014 und befragt in einem jährlichen Turnus über 4000 in Deutschland lebende Zwillingspaare und deren Familien zu unterschiedlichen Lebensbereichen. Durch den Vergleich von ein- und zweieiigen, gleichgeschlechtlichen Zwillingspaaren können neben sozialen Mechanismen auch genetische Differenzen zwischen Individuen, sowie die Kovariation und Interaktion sozialer und genetischer Einflussgrößen analysiert werden. Um die individuelle Entwicklung unterschiedlicher Einflussfaktoren zu dokumentieren werden die Familien über mehrere Jahre hinweg umfassend untersucht. Inhaltlich wird dabei auf sechs für soziale Ungleichheiten bedeutsame Lebensbereiche fokussiert: 1. Bildung und Kompetenzerwerb, 2. Karriere und Erfolg auf dem Arbeitsmarkt, 3. Integration und Teilhabe am sozialen, kulturellen und politischen Leben, 4. Lebensqualität und wahrgenommene Handlungsmöglichkeiten, 5. physische und psychologische Gesundheit sowie 6. Verhaltensprobleme und abweichendes Verhalten. In 2020 und 2021 fanden drei zusätzliche Befragungen zu den Einflüssen und Folgen der COVID-19-Pandemie statt. Die erste Zusatzerhebung hatte zum Ziel, retrospektiv das Verhalten, die Einstellungen, Belastungen, Gesundheit und sozioökonomische Veränderungen im Leben der Befragten während der ersten Welle der COVID-19-Pandemie von März 2020 bis hin zu den ersten Lockerungen der Lockdown-Maßnahmen zu erfassen. Die zweite Zusatzbefragung zielte darauf ab, aktuelle Verhaltensweisen, Einstellungen, Belastungen, gesundheitliche und sozioökonomische Veränderungen während der COVID-19-Pandemie zu erfassen. Die dritte ergänzende COVID-19-Umfrage befasste sich mit aktuellen Einstellungen, Belastungen, gesundheitlichen und sozioökonomischen Veränderungen aufgrund der COVID-19-Pandemie.

The present repository provides a BeetRepeats fasta resource representing a comprehensive compilation of all characterized repeat families in the genome of sugar beet and wild relatives (a detailed list with all corresponding references can be found in 'BeetRepeatDB_v1.0-Content.docx'). Additionally, we provide an annotation of these repeats within the three different sugar beet assemblies EL10 (McGrath et al., 2023), 2320BvONT_v1.0 (Sielemann et al., 2023), and RefBeet1.5 (https://jbrowse.cebitec.uni-bielefeld.de/RefBeet1.5) as GFF files.Despite the advances in genomics, repetitive DNAs (repeats) are still difficult to sequence, assemble, and identify. This is due to their high abundance and diversity, with many repeat families being unique to the organisms in which they were described. In sugar beet, repeats make up a significant portion of the genome (at least 53%); with many repeats being restricted to the beet genera, Beta and Patellifolia. Over the course of more than 30 years and many repeat-based studies, over a thousand  reference repeat sequences for beet genomes have been identified and experimentally characterized (i.e. physically located on the chromosomes). The BeetRepeats resource is a comprehensive compilation of all characterized repeat families, including satellite DNAs, ribosomal DNAs, transposable elements and endogenous viruses. The genomes covered are those of sugar beet and closely related wild beets (genera Beta and Patellifolia) as well as Chenopodium quinoa and Spinacia oleracea (all belonging to the Amaranthaceae). The reference sequences are in fasta format and comprise well-characterized repeats from both repeat categories (dispersed/mobile as well as tandemly arranged). The database is suitable for the RepeatMasker and RepeatExplorer2 pipelines and can be used directly for any repeat annotation and repeat polymorphism detection purposes. McGrath JM, Funk A, Galewski P, Ou S, Townsend B, Davenport K, et al. A contiguous de novo genome assembly of sugar beet EL10 (Beta vulgaris L.). DNA Res. 2023;30:dsac033.Sielemann K, Pucker B, Orsini E, Elashry A, Schulte L, Viehoever P, et al. Genomic characterization of a nematode tolerance locus in sugar beet. BMC Genomics. 2023;24:748.

The present repository provides a BeetRepeats fasta resource representing a comprehensive compilation of all characterized repeat families in the genome of sugar beet and wild relatives (a detailed list with all corresponding references can be found in 'BeetRepeatDB_v1.0-Content.docx'). Additionally, we provide an annotation of these repeats within the three different sugar beet assemblies EL10 (McGrath et al., 2023), 2320BvONT_v1.0 (Sielemann et al., 2023), and RefBeet1.5 (https://jbrowse.cebitec.uni-bielefeld.de/RefBeet1.5) as GFF files.Despite the advances in genomics, repetitive DNAs (repeats) are still difficult to sequence, assemble, and identify. This is due to their high abundance and diversity, with many repeat families being unique to the organisms in which they were described. In sugar beet, repeats make up a significant portion of the genome (at least 53%); with many repeats being restricted to the beet genera, Beta and Patellifolia. Over the course of more than 30 years and many repeat-based studies, over a thousand  reference repeat sequences for beet genomes have been identified and experimentally characterized (i.e. physically located on the chromosomes). The BeetRepeats resource is a comprehensive compilation of all characterized repeat families, including satellite DNAs, ribosomal DNAs, transposable elements and endogenous viruses. The genomes covered are those of sugar beet and closely related wild beets (genera Beta and Patellifolia) as well as Chenopodium quinoa and Spinacia oleracea (all belonging to the Amaranthaceae). The reference sequences are in fasta format and comprise well-characterized repeats from both repeat categories (dispersed/mobile as well as tandemly arranged). The database is suitable for the RepeatMasker and RepeatExplorer2 pipelines and can be used directly for any repeat annotation and repeat polymorphism detection purposes. McGrath JM, Funk A, Galewski P, Ou S, Townsend B, Davenport K, et al. A contiguous de novo genome assembly of sugar beet EL10 (Beta vulgaris L.). DNA Res. 2023;30:dsac033.Sielemann K, Pucker B, Orsini E, Elashry A, Schulte L, Viehoever P, et al. Genomic characterization of a nematode tolerance locus in sugar beet. BMC Genomics. 2023;24:748.

DiProMagOntologyProject DescriptionThis ontology encompasses the semantic modeling of the entire process chain, including production, characterization, and prototypical application. As part of the DiProMag project, a novel approach for ontology engineering with OTTR templates was developed. You can find the developed OTTR templates, OTTR instances holding real data, alongside the DiProMag ontology in this repository. The ontology can be created by instantiating the OTTR templates. The results of the instantiation can be found in instances/*. We have reduced the output to the T-Box you can find in dipromag.ttl with the Perl script extract-tbox.pl. The T-Box merged with the metadata leads to dmco.ttl.The documentation for using the templates can be found in doc_manual. The automatically generated OTTR documentation can be found in doc.The OTTR documentation can be generated by running the following commands: java -jar lutra.jar --library template_library --fetchMissing --mode=docttrLibrary -o ./doc/ --debugStackTrace, Generate ttl files: java -jar lutra.jar --library template_library --fetchMissing --mode=formatLibrary -o ./lib_ttl/ --debugStackTraceGenerate individual stOTTR files: java -jar lutra.jar --library template_library --fetchMissing --mode=formatLibrary -o ./lib_stottr/ --debugStackTrace -O=stottrUsageInstall Lutra according to the official documentation and place the jar file inside the root folder of this repository or use the provided jar file. Instantiate templates (real data collected through experiments during DiProMag): java -jar lutra.jar --library template_library/ --fetchMissing --inputFormat stottr instances/*Run instantiation unit tests (random data): java -jar lutra.jar --library template_library/ --fetchMissing --inputFormat stottr unit_tests/*The resulting T-Box can be found in dmco-tbox.ttl, metadata in metadata.ttl, and an ontology generated through template calls with real data in dipromag.ttl.  ContributingAndreas Hütten, Günter Reiss, Philipp Cimiano, Luana Caron, Tapas Samanta, Inga Ennen, Basil Ell, Martin Wortmann, Moritz Blum, Christian Schröder, Sonja Schöning, Simon Bekemeier, Lennart Schwan, Michael Feige, Thomas Hilbig, Alisa Chirkova. LicenseThis ontology (including our OTTR Templates & Instances) is published under the CC BY 4.0 license. Project statusOntology version 0.1.0. FundingThis work was done in the context of DiProMag, a BMBF (German Federal Ministry of Education and Research) funded research project under Grant No. 13XP5120B. (Bielefeld University) and Grant No. 13XP5 120A (Bielefeld University of Applied Science and Arts).GitLab: Bielefeld UniversityProject website: dipromag.deCitationIf you have found our ontology useful in your work, please consider citingour article:bibtex@article{blum2023,  title={Insights from an {OTTR}-centric Ontology Engineering Methodology},  author={Blum, Moritz and Ell, Basil and Cimiano, Philipp},  journal={Proceedings of the 14th Workshop on Ontology Design and Patterns (WOP 2023)},  year={2023},  doi={10.48550/arXiv.2309.13130},  URL={https://doi.org/10.48550/arXiv.2309.13130}}