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Cross-domain directory aggregating tools, AI models, datasets, and research resources from bio.tools, Bioconductor, HuggingFace, curated GitHub awesome-lists, and more.

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A database to support glycobiology and glycomics research. Its main focus is on 3D structures, including 3D structure models as well as references to PDB entries that feature carbohydrates.

Comprehensive reference information for the world's languages, especially the lesser known languages. [from homepage]

A pull request in any public repository on GitHub.

An issue in any public repository on GitHub.

MedlinePlus Genetics contains detailed information about the effects of genetic variation on human health, covering more than 1,300 genetic conditions and 1,400 genes, all of the human chromosomes, and mitochondrial DNA (mtDNA).

The submission-centric metadata schema for the German Human Genome-Phenome Archive (GHGA).

The General Formal Ontology is a top-level ontology for conceptual modeling, which is being constantly further developed by Onto-Med. It includes elaborations of categories like objects, processes, time and space, properties, relations, roles, functions, facts, and situations. Moreover, we are working on an integration with the notion of levels of reality in order to more appropriately capture entities in the material, mental, and social areas.

The Getty Thesaurus of Geographic Names (TGN) is a structured vocabulary, including names, descriptions, and other metadata for extant and historical cities, empires, archaeological sites, and physical features important to research of art and architecture. TGN may be linked to GIS (Geographical Information System), maps, and other geographic resources. [from https://collectionstrust.org.uk/resource/thesaurus-of-geographic-names-tgn-getty/]

The Getty Iconography Authority ™ (IA), Cultural Objects Name Authority ® (CONA), the Union List of Artist Names ® (ULAN), the Art & Architecture Thesaurus ® (AAT), the Getty Thesaurus of Geographic Names ® (TGN) are structured resources that can be used to improve access to information about art, architecture, and other material culture. The Vocabularies are not simply 'value vocabularies,' but knowledge bases. Through rich metadata and links, the Getty Vocabularies provide powerful conduits for knowledge creation, complex research, and discovery for digital art history and related disciplines. [from https://www.getty.edu/research/tools/vocabularies/cona/about.html#purpose_ia]

The GVP Ontology defines classes, properties and values (skos:Concepts) used in GVP LOD. As of version 3.0, it is complete regarding AAT, TGN and ULAN, and will be extended in time with more elements needed for other GVP vocabularies (CONA).

CONA compiles titles, attributions, depicted subjects, and other metadata about works of art, architecture, and cultural heritage, both extant and historical, physical and conceptual. Metadata is gathered and linked from museum collections, special collections, archives, libraries, scholarly research, and other sources. CONA is linked to the AAT, TGN, ULAN, and the IA (Iconography Authority). Through rich metadata and links, CONA may provide a powerful conduit for research and discovery for digital art history. [from homepage]

The AAT includes generic terms, and associated dates, relationships, and other rich information about concepts related to or required to catalog, discover, and retrieve information about art, architecture, and other visual cultural heritage, including related disciplines such as archaeology and conservation. Visual works include not only visual cultural works classified as "art" according to Western aesthetics, but also utilitarian and ceremonial works. Terminology may be used for work types, roles, materials, styles, cultures, techniques, subject, etc., so long as terms are within the defined scope of AAT. [from https://www.getty.edu/research/tools/vocabularies/aat/aat_faq.html]

Predicates that are used to construct the GESIS Knowledge Graph, a bibliometrics KG.

As the variable is one of the most relevant entities to enhance data reuse in the Social Sciences, we provide a framework design to better semantics the variables' relations descriptions. These explicit relations between variables enable comparability and facilitate harmonization across waves. We provide a brief textual identification of the relation type, supported by a controlled vocabulary (CV) and an extended description of the relationship. These relations within variables include but are not limited to different versions, derived formats in new waves, new labels and name wording, and alternative response schema through questionnaires and surveys. For instance, a given variable label is changed from one wave to another, even though its concept remains the same. Their values also are subject to change, such as new cardinalities settings, their categorization, or response scheme and scale measurement. They change based on different conditions, e.g., values are updated by any constraints or modified to comply with the study evolution requirements or a new sociological approach. In the Social Sciences, Economics, and Behaviour Sciences, which investigate, for instance, the social structure of the population, political attitudes of voters and candidates, opinions on family, work, religion, politics and society or competencies of adults, those topics are highly subject to change to fit the empirical reality in a constantly changing world. Thus, we propose widening relations descriptions for Social Sciences variables within datasets beginning from the BasedOnObjectType DDI as a first approach.

This CV, developed within the framework of the DP-R|EX joint project, involving the partner institutions DeZIM, Qualiservice and GESIS, maps the dimensions of discrimination and racialised characteristics relevant to the research area. The compilation is based on a systematic evaluation of the relevant national and international empirical research literature. These include self-attributed characteristics as well as anticipated attributions by others. The characteristics do not necessarily correspond to the studied units in the data set, but can also be the subject of studied concepts or theories in the surveys, such as on specific prejudices and attitudes.

This CV, developed as part of the DP-R|EX joint project, involving the partner institutions DeZIM, Qualiservice and GESIS, maps the data types relevant to the research field. The CV includes data types that can result from a variety of different collection methods. These include, for example, standardised or unstandardised surveys, individual or repeated observations, as well as process-produced or user-generated types of data generation. The data types can be subject-, event-, space- or time-related and refer to the individual or aggregate level.

This CV, developed within the framework of the DP-R|EX joint project, involving the partner institutions DeZIM, Qualiservice and GESIS, maps the central concepts and theoretical approaches in research on racism and right-wing extremism. The compilation is based on a systematic evaluation of the relevant national and international empirical research literature. The CV equally takes into account the different thematic (racism, right-wing extremism, discrimination) as well as methodological (qualitative research, standardised surveys, data from social media and messaging services) research strands.

The Category Scheme Election Studies provides the ability to categorize election studies at the question and/or variable level.

Geförderte Projekte Informationssystem (GEPRIS) is a bilingual (German/English) database of funding measures administered by the Deutsche Forschungsgemeinschaft (DFG).

Rules for GeoSPARQL

Functions for GeoSPARQL

An ontology used to enable annotating geospatial semantic information to entities in GeoNames

All geographical features in GeoNames are categorized into one out of nine feature classes and further subcategorized into one out of 645 feature codes.

The GeoNames geographical database covers all countries and contains over eleven million placenames that are available for download free of charge.