Find open-source science resources

Use this database to browse the CMECS classification and to get definitions for individual CMECS Units. This database contains the units that were published in the Coastal and Marine Ecological Classification Standard.

A database of the drosophila odor receptor response profiles, as compiled using the DoOR package, and continously up to date.

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

An ontology about scholarship

The Ontology for Biomarkers of Clinical Interest (OBCI) formally defines biomarkers for diseases, phenotypes, and effects.

An international LGBTQ+ linked data vocabulary

An ontology for animal behaviours. It defines, labels, and interconnects potentially discernible actions, functional contexts, and dispositions. Using scientific references, it attempts to provide an internally consistent framework for classifying assertions which have been made about behaviours.

The FRBR-aligned Bibliographic Ontology (FaBiO) is an ontology for describing entities that are published or potentially publishable (e.g., journal articles, conference papers, books), and that contain or are referred to by bibliographic references.

NFDI-MatWerk aims to establish a digital infrastructure for Materials Science and Engineering (MSE), fostering improved data sharing and collaboration. This repository provides comprehensive documentation for NFDI MatWerk Ontology (MWO) v3.0.0, a foundational framework designed to structure research data and enhance interoperability within the MSE community. To ensure compliance with top-level ontology standards, MWO v3.0.0 is aligned with the Basic Formal Ontology (BFO) and incorporates the modular approach of the NFDIcore mid-level ontology, enriching metadata through standardized classes and properties. The mwo addresses key aspects of MSE research data, including the NFDI-MatWerk community structure, covering task areas, infrastructure use cases, projects, researchers, and organizations. It also describes essential NFDI resources, such as software, workflows, ontologies, publications, datasets, metadata schemas, instruments, facilities, and educational materials. Additionally, mwo represents NFDI-MatWerk services, academic events, courses, and international collaborations. As the foundation for the MSE Knowledge Graph, mwo facilitates efficient data integration and retrieval, promoting collaboration and knowledge representation across MSE domains. This digital transformation enhances data discoverability, reusability, and accelerates scientific exchange, innovation, and discoveries by optimizing research data management and accessibility. (from repository)

DCAT-AP is a DCAT profile for sharing information about Catalogues containing Datasets and Data Services descriptions in Europe, under maintenance by the SEMIC action, Interoperable Europe. This Application Profile provides a minimal common basis within Europe to share Datasets and Data Services cross-border and cross-domain. [from homepage]

Ontology, part of the SI Reference Point, covering measurement units (SI base units and SI units with special names) and prefixes.

The Semantic Mapping Vocabulary provides and defines terms used for creating and maintaining semantic mappings, in particular mapping metadata.

A vocabulary for describing semantic assets, defined as highly reusable metadata (e.g. XML1 schemata, generic data models) and reference data (e.g. code lists, taxonomies, dictionaries, vocabularies).

The Chromosome Ontology is an automatically derived ontology of chromosomes and chromosome parts.

The Simplified Upper Level Ontology (SULO) is ontology with a minimal set of classes and relations to guide the development of a personal health knowledge graph. [from homepage]

An ontology demonstrating rich ontology for rubber extrusion.

Ontology describing a controlled vocabulary for taxon ranks.

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

An issue on the Information Artifact Ontology GitHub issue tracker

The Experimental Measurements, Purposes, and Treatments ontologY (EMPTY) is a structured vocabulary designed to capture and standardize the scientific reasoning behind experimental measurements. It addresses a critical gap in existing metadata standards, which primarily focus on technical specifications rather than scientific intent. The ontology provides a common language to express why a measurement was taken and the conceptual conditions under which it should be interpreted. By focusing on experimental purposes and treatments, EMPTY is designed to significantly improve the findability, interoperability, and reusability of scientific data. This enables researchers to discover relevant datasets for meta-analyses and cross-disciplinary research based on shared scientific goals. (from https://github.com/OBOFoundry/OBOFoundry.github.io/issues/2753)

EPOS-DCAT-AP is an extension of the DCAT Application Profile for Research Infrastructures in Environmental and the solid-Earth domains.

The Graphic Descriptor Ontology (GDO) is intended for use in describing graphics that represent the form of objects. It uses the language of visual communication, illustration, and technical drawing. The GDO is rooted in the Basic Formal Ontology (BFO) and uses several classes from the Information Entity Ontology of the Common Core Ontologies as a mid-level ontology. [from https://gdo.endlessforms.info/about]

The Crystallographic Defect Core Ontology (CDCO) defines the common terminology shared across all types of crystallographic defects, providing a unified framework for data integration in materials science.

The Generative Artificial Intelligence Delegation Taxonomy (GAIDeT) assigns identifiers to contributor roles as an extension to the Contributor Roles Taxonomy (CRediT) to support promoting transparency and accountability in academic publishing when AI contribtors are involved in research. It is operationalized in the [GAIDeT Declaration Generator](https://panbibliotekar.github.io/gaidet-declaration/), an interactive tool for researchers to disclose the delegation of tasks to generative AI (GAI) tools in accordance with the GAIDeT taxonomy.

This ontology integrates cell type markers for cells in the Cell Ontology from various sources along with details of marker context (anatomical context, assay), confidence (where available) and provenance. [from repository]

Ribocentre is designed to contain comprehensive information of all natural ribozymes.

The initial focus of the GS1 Web Vocabulary is consumer-facing properties for clothing, shoes, food beverage/tobacco and properties common to all products. [from homepage]

This ontology is a formal representation that captures the fundamental concepts and their relationships to one another in the field of curriculum design and implementation of the German school system.

The Vibration Spectroscopy Ontology defines technical terms with which research data produced in vibrational spectroscopy experiments can be semantically enriched, made machine readable and FAIR.

The NFDI4Culture Ontology (CTO) is a domain-specific ontology module developed within the Task Area 5 of the NFDI4Culture initiative. (from homepage)

The Bibframe vocabulary consists of RDF classes and properties used for the description of items cataloged principally by libraries, but may also be used to describe items cataloged by museums and archives. Classes include the three core classes - Work, Instance, and Item - in addition to many more classes to support description. Properties describe characteristics of the resource being described as well as relationships among resources. For example: one Work might be a "translation of" another Work; an Instance may be an "instance of" a particular Bibframe Work. Other properties describe attributes of Works and Instances. For example: the Bibframe property "subject" expresses an important attribute of a Work (what the Work is about), and the property "extent" (e.g. number of pages) expresses an attribute of an Instance.

CCSO is an educational ontology acting as a data model for concepts and entities within an academic setting, enabling also the annotation of potentially available resources. The ontology aims to conceptualize educational entities within Curriculum and Syllabus with appropriate coverage and quality, in order to support rich services on top for improving curriculum management and automatically enabling syllabus semantic processes. (from homepage)

A crystallography domain ontology based on EMMO and the CIF core dictionary. It is implemented as a formal language. (from https://nfdi4cat.org/services/ontologie-sammlung/)

A vocabulary describing licenses for data and code

A controlled vocabulary to support the study of transcription in the developing human brain