Find open-source science resources
A directory of tools, AI models, datasets, and research resources for biotech, bioinformatics, and other scientific fields. Aggregated from curated GitHub awesome-lists, HuggingFace, bio.tools, Bioconductor, and more.
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2,418 of 5,923 resources
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Core Vocabulary defines the OSLC Core RDF vocabulary terms and resources, that have broad applicability across various domains.
OSMO is an ontologization and extension of MODA, a workflow metadata standard that constitutes a mandatory requirement within a number of European calls and projects in the context of materials modelling. OSMO was developed within the Horizon 2020 project VIMMP (Virtual Materials Marketplace) and is part of a larger effort in ontology engineering driven by the European Materials Modelling Council, with the European Materials and Modelling Ontology (EMMO) as its core. (from https://nfdi4cat.org/services/ontologie-sammlung/)
The U.S. Department of Energy (DOE) Office of Scientific and Technical Information (OSTI) is the main metadata archive for permanent storage of registered [DOE DOI products](https://www.osti.gov/pids/doi-services/doe-data-id-service) (datasets, code, articles, patents, multimedia, etc.). When a DOI is minted a unique OSTI identifier for each record [{osti_id}](https://www.osti.gov/api/v1/docs#endpoints-singlerecord) is provided as the suffix in the DOI schema ([{site-specific-prefix}/{user-supplied-doi-infix}/{osti_id}](https://www.osti.gov/pids/doi-services)) and can be alternatively used as the main product identifier endpoint when [searching OSTI.GOV](https://www.osti.gov/search-tools) registry archive (see example below). OSTI.GOV is the primary registry and search tool for all Department of Energy (DOE) funded science, technology, and engineering research and development (R&D) results and the organizational hub for information about the DOE Office of Scientific and Technical Information (OSTI. **Data Product Type Example:** - https://www.osti.gov/biblio/1668761 - https://www.osti.gov/search/semantic:1668761 - https://www.osti.gov/dataexplorer/biblio/dataset/1668761 - https://www.osti.gov/api/v1/records/1668761 - https://doi.org/10.11578/1668761 **Other Core Product Registry Examples:** - Journal Articles: https://www.osti.gov/pages/biblio - Datasets: https://www.osti.gov/dataexplorer/biblio/dataset/ - Software: https://www.osti.gov/doecode/biblio/ - Patents: https://www.osti.gov/doepatents/biblio/ - Multimedia: https://www.osti.gov/sciencecinema/biblio/
Identifier for an entity in open tree of life
Overview of the Web Ontology Language (OWL) which provides an introduction to OWL by informally describing the features of each of the sublanguages.
The Pan African Clinical Trials Registry (PACTR) is a regional register of clinical trials conducted in Africa. The registry is an African initiative serving the needs of Africans. It provides an open-access platform where clinical trials can be registered free of charge. The PACTR aims to increase clinical trial registration in Africa by developing awareness of the need to register trials and supporting trialists during registration. (from homepage)
Identifiers correspond to curated multigene families in the human genome from the Phylogenomic Analysis of Human Genome (PAHG) database, focusing on evolutionary relationships and gene duplication events across vertebrates.
Panorama is a freely-available, open-source repository server application for targeted mass spectrometry assays that integrates into a Skyline mass spec workflow. It makes links to the Proteomics Exchange when possible.
PathBank is an interactive, visual database containing more than 100 000 machine-readable pathways found in model organisms such as humans, mice, E. coli, yeast, and Arabidopsis thaliana.
PAV is a lightweight ontology for tracking provenance, authorship, and versioning. It specializes the W3C provenance ontology PROV-O in order to describe authorship, curation and digital creation of online resources.
The National Cancer Institute's Proteomic Data Commons (PDC) makes cancer-related proteomic datasets easily accessible to the public.