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The Bioregistry is integrative meta-registry of biological databases, ontologies, and nomenclatures that is backed by an open database.

OEO is a domain reference ontology for energy system modeling.

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.

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.

A data model for managing information about chemical entities, ranging from atoms through molecules to complex mixtures.

A vocabulary describing subjects taught in German primary and secondary school (not university/hochschulen), such as German, math, and art.

A list of values for class levels. Created in the context of the OpenEduHub

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]

A mid-level ontology for representing metadata related to NFDI resources, including individuals, organizations, projects, data portals, and more

A vocabulary describing licenses for data and code

Assigns identifiers to knowledge graphs (KGs) that are used and/or maintained within any NFDI consortium.

openWEMI is a minimally constrained vocabulary for describing created resources using the concepts of Work, Expression, Manifestation, Item.

The NFDI4DataScience ontology (nfdi4dso) is an ontology describing various resources all resources (datasets, data providers, persons, projects and other entities) within the domain of NFDI4DataScience. nfdi4dso is a module that builds upon the [NFDIcore Ontology](https://ise-fizkarlsruhe.github.io/nfdicore/2.0.0/) and maintains alignment with the Basic Formal Ontology (BFO). [adapted from homepage]

This SKOS vocabulary describes types of primary and secondary schools in Germany, such as Grundschule, Gymnasium, and Realschule. This does not include post-secondary education such as universities or hochschulen.

The covid-19 epidemiology and monitoring ontology (cemo) provides a common ontological model to make epidemiological quantitative data for monitoring the covid-19 outbreak machine-readable and interoperable to facilitate its exchange, integration and analysis, to eventually support evidence-based rapid response.

Algorithm Metadata Vocabulary is a vocabulary for capturing and storing the metadata about the algorithms (a procedure or a set of rules that is followed step-by-step to solve a problem, especially by a computer). There are uncountable algorithms present in every area (e.g., Computer Science, Mathematics), which makes it hard for specialists, academicians, application engineers, and so forth to discover, distinguish, select, and reuse them. [from repository]

An educational ontology for personalised recommendation learning systems that is based on learning path and user profile. It represents the key components for a personalised learning system based on our requirement analysis.

The Creative Commons Rights Expression Language (ccREL) lets you describe copyright licenses in RDF. For more information on describing licenses in RDF and attaching those descriptions to digital works, see [ccREL](https://wiki.creativecommons.org/CC_REL) in the [Creative Commons wiki](https://wiki.creativecommons.org/).

COCONUT (COlleCtion of Open Natural ProdUcTs) Online is an open source project for Natural Products (NPs) storage, search and analysis. It gathers data from over 50 open NP resources and is available free of charge and without any restriction. Each entry corresponds to a "flat" NP structure, and is associated, when available, to their known stereochemical forms, literature, organisms that produce them, natural geographical presence and diverse pre-computed molecular properties.

It is a simple ontology to describe sequence feature positions and regions as found in GFF3, DBBJ, EMBL, GenBank files, UniProt, and many other bioinformatics resources