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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An issue on the Gene Ontology GitHub issue tracker
The primary goal of this ontology is to standardize the representation of molecular simulation data, processes, and methodologies across disparate simulation platforms, engines (e.g., GROMACS, AMBER, NAMD), and analysis tools, while ensuring these terms are interoperable with existing life sciences ontologies
The System Package Data Exchange™ (SPDX®) specification is an open standard designed to represent systems containing software components as Software Bill of Materials (SBOMs). Additionally, SPDX supports AI, data, and security references, making it suitable for a wide range of risk management use cases. This _spdx3_ prefix is for SPDX 3.x versions. For earlier versions, use _spdx.term_.
A large RDF store built from American governmental data. This semantic space has a mixture of direct terms and subspaces.
The information resource registry is a listing of data sources present in the NCATS Data Translator system. Each information resource has an identifier, a short description, and a URL to more information about that resource.
EMMO is a multidisciplinary effort to develop a standard representational framework (the ontology) for applied sciences. It is based on physics, analytical philosophy and information and communication technologies. It has been instigated by materials science to provide a framework for knowledge capture that is consistent with scientific principles and methodologies. (from GitHub)
OEO is a domain reference ontology for energy system modeling.
An _gentle_ implementation of the Unified Foundational Ontology (UFO), which is an upper level ontology like BFO that is concerned with e.g. expressing temporal relationships between events.
A RDF vocabulary for OER content on the web.
The HGVS Nomenclature is an internationally-recognized standard for the description of DNA, RNA and protein sequence variants. It is used to convey variants in clinical reports and to share variants in publications and databases. The HGVS Nomenclature is administered by the [HGVS Variant Nomenclature Committee (HVNC)](https://hgvs-nomenclature.org/stable/hvnc/) under the auspices of the [Human Genome Organization (HUGO)](https://hugo-int.org/).
A vocabulary used in tandem with SHACL for representing node shapes
The DCAT-AP conversion to a LinkML Schema is the intended point of truth for the DCAT-AP+ schema, but could be used alternatively as a LinkML representation of DCAT-AP for other Projects. It is a port of DCAT-AP to the LinkML world that is as faithful to the original as possible. This Persistent Identifier does not only provide the SHACL Shape, but could also be used as described [here](https://github.com/perma-id/w3id.org/tree/cecbc2e5f40d928f05ed5306d24fc60db0e7bb21/nfdi-de/dcat-ap-plus). DCAT-AP+ is a [LinkML](https://linkml.io/)-based extension of the [DCAT Application Profile 3.0](https://semiceu.github.io/DCAT-AP/releases/3.0.0/) that adds a provenance layer for describing how a dataset was generated and what it is about, using the [Starting Point Terms of PROV-O](https://www.w3.org/TR/prov-o/#description-starting-point-terms), the [QUDT ontology](https://www.qudt.org/), and [Dublin Core Terms](http://purl.org/dc/terms/).
Ontology representation of the [International Committee on Taxonomy of Viruses (ICTV)](https://ictv.global/) for the [EVORA project](https://evora-project.eu/)
This ontology describes sensors, actuators and observations, and related concepts. It does not describe domain concepts, time, locations, etc. these are intended to be included from other ontologies via OWL imports.
Some IDs may represent experiment sets, e.g. https://www.mavedb.org/#/experiment-sets/urn:mavedb:00000011 Others represent genomic regions (specifically deep mutational scans thereof) e.g. https://www.mavedb.org/#/experiment-sets/urn:mavedb:00000011-a
The Europeana Data Model (EDM) is aimed at being an integration medium for collecting, connecting and enriching the descriptions provided by Europeana data providers. The RDF vocabulary for http://www.europeana.eu/schemas/edm/ defines the elements introduced by EDM (as opposed to the ones EDM re-uses from other namespaces).
An issue on the MONDO GitHub issue tracker
This ontology is based on the SSN Ontology by the W3C Semantic Sensor Networks Incubator Group (SSN-XG), together with considerations from the W3C/OGC Spatial Data on the Web Working Group.
MITE (Minimum Information about a Tailoring Enzyme) is a data repository and associated data standard designed to capture the reaction- and substrate-specificities of tailoring enzymes. Community-driven and fully expert-reviewed, it represents enzymatic reactions using reaction SMARTS and links to established resources such as UniProt, NCBI GenPept, Rhea, and MIBiG. MITE serves as a knowledgebase for enzyme and pathway annotation, in silico biosynthesis, and machine learning applications.
The gEAR portal is a website for visualization and analysis of multi-omic data both in public and private domains.
METPO (Microbial Ecophysiological Trait and Phenotype Ontology) provides standardized terms for describing microbial phenotypes, growth characteristics, and culture conditions. It includes classes for growth media, temperature tolerances, pH tolerances, and relationships like "grows in" and "does not grow in".
Medical Subject Headings vocabulary is the set of predicates used in the MeSH RDF dump
Darwin Core is a vocabulary standard for transmitting information about biodiversity. This document lists all terms in namespaces currently used in the vocabulary.
A vocabulary describing subjects taught in German primary and secondary school (not university/hochschulen), such as German, math, and art.
The Data Privacy Vocabulary provides an ontology (classes and properties) and taxonomies of concepts to represent information regarding how personal data is processed in the form of an ontology or a knowledge graph.
Ontologies that aim to provide semantic specifications for units of measure, quantity kind, dimensions and data types.
An issue on the UBERON GitHub Issue tracker
A list of values for class levels. Created in the context of the OpenEduHub
GO Rules are a way of documenting the set of filters and reports that should apply to GAF annotation data. Some rules are expressed as SPARQL on a triplestore, some are code in the GAF parsing software, ontobio.
A classification of subjects in Hochschule (universities of applied sciences)
A controlled vocbualry of higher education resource types
The EVORAO Ontology provides a structured and harmonized vocabulary for describing shareable pathogens as characterized biological materials, along with their derived products and associated services, organized into collections. Developed within the EVORA project, it supports consistent metadata annotation across research infrastructures, promoting findability, accessibility, interoperability, and reusability (FAIR). By aligning with relevant standards and ontologies, EVORAO facilitates cross-domain collaboration, integration, and sharing of pathogenic resources and services to enhance pandemic preparedness and response. While initially focused on virology, EVORAO is designed to be extensible and also supports metadata harmonization for other pathogens. [from repository]
PomBase manages gene and phenotype data related to Fission Yeast. FYECO contains experimental conditions relevant to fission yeast biology. The FYECO namespace shows up in data ingests from PomBase.
Identifiers in the GTN correspond to training materials in various formats (markdown, slides, video). The users can apply learned concepts directly within the framework via galaxy workflows.
The Ontology for Biomarkers of Clinical Interest (OBCI) formally defines biomarkers for diseases, phenotypes, and effects.
Voc4Cat is a [SKOS](https://www.w3.org/TR/2009/REC-skos-reference-20090818/) vocabulary for the catalysis disciplines. The vocabulary was created in the [NFDI4Cat](http://www.nfdi4cat.org/) initiative. The first collection of terms was published in June 2023 with a focus on photo catalysis. Our goal is to continuously extend the vocabulary to other areas of catalysis and related disciplines like chemical engineering or materials science.
A data model for managing information about chemical entities, ranging from atoms through molecules to complex mixtures.