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.

286 of 7,064 resources

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Stale142 years ago
CC-BY-4.0

A small ontology expressing skills and competencies.

Stale05 years ago
CC-BY-4.0
Stale98 years ago
CC-BY-4.0

The ABCD (AntiBodies Chemically Defined) database is a manually curated depository of sequenced antibodies

AGROVOC is a multilingual and controlled vocabulary designed to cover concepts and terminology under FAO's areas of interest. It is the largest Linked Open Data set about agriculture available for public use and its greatest impact is through providing the access and visibility of data across domains and languages.

The equipment component of the Allotrope ontology suite

The process component of the Allotrope ontology suite

The quality component of the Allotrope ontology suite

The result component of the Allotrope ontology suite

The role component of the Allotrope ontology suite

terms approved for use by BODC to describe the measurement units for data held in its repositories.

Assigns identifiers to collections of datasets indexed by CELLxGENE. CELLxGENE is an interactive data visualization and exploration tool developed by the Chan Zuckerberg Initiative that enables researchers to analyze and share single-cell genomics datasets. It provides a user-friendly interface for biologists and computational scientists to interrogate gene expression patterns across different cell types.

Names of organisations providing metadata for CESSDA Data Catalogue.

This vocabulary holds the definitions and descriptions of the collections included in the CESSDA Data Catalogue.

Lists the types of persistent identifiers that CESSDA accepts as study level PIDs in its data catalogue.

ISO 3166-1 alpha-2 country codes and names.

A typology of main themes or subjects of data.

Nomenclature Consortium around Chicken genes (analogous to the HGNC for humans)

The goal of the CODATA Research Data Management Terminology is to gather the key terms needed for a common understanding of the research data management domain. The RDMT was revised by the CODATA RDM Terminology Working Group, shared for public review, and then confirmed and finalised in 2023. The RDMT grew out of the CASRAI Research Data Management Glossary, which was intended as a practical reference for individuals and groups concerned with the improvement of research data management (RDM). In 2020, CASRAI requested that CODATA assume responsibility for the curation of this valued resource. To that end, the RDM Terminology Working Group uses a lightweight and pragmatic biennial process to review the resource now restructured as the CODATA RDM Terminology and suggest any edits, additions and removals that are required in order to develop and improve this important reference resource.

CRediT (Contributor Roles Taxonomy) is high-level taxonomy, including 14 roles, that can be used to represent the roles typically played by contributors to scientific scholarly output. The roles describe each contributor’s specific contribution to the scholarly output.

A thesaurus of terms useful for digital archaeology