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The Context and Measurement Ontology (COMO) contains ontological terms to describe the context for various types of experimental data and measurements. It is useful in its current state for several different environmental microbiology projects. This ontology is used in multiple CORAL (Contextual Ontology-based Repository Analysis Library) deployments.

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)

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

An EMMO-based domain ontology for atomistic and electronic modelling.

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

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.

Babelon is a simple standard for managing ontology translations and language profiles. Profiles are managed as TSV files, see for example https://github.com/obophenotype/hpo-translations/tree/main/babelon. The goal of Babelon as a data model and vocabulary is to capture the minimum data required to capture important metadata such as confidence and precision of translation.

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.

The Bibliographic Ontology Specification provides main concepts and properties for describing citations and bibliographic references (i.e. quotes, books, articles, etc) on the Semantic Web.

With the DataPLANT biology ontology (DPBO), DataPLANT provides an intermediate ontology that acts as a broker and bridge between the individual researcher/domain experts and main ontology providers. DPBO enables easy and agile collection of missing vocabulary as well as relationships between terms for (meta)data annotation using DataPLANT’s Swate tool.

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]

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]

MathModDB is a database of mathematical models developed by the Mathematical Research Data Initiative (MaRDI). MathModDB defines a data model with classes (Mathematical Model, Mathematical Formulation, Research Field, Research Problem, Quantity [Kind], Computational Task, Publication), object properties/relations, data properties and annotation properties as an ontology. This ontology is populated with individuals/data from various fields of applied mathematics, making it a knowledge graph. [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 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.

An ontology about scholarship

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)

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 controlled vocabulary to support the study of transcription in the mouse brain

HOSO is an ontology of informational entities and processes related to healthcare organizations and services.

SO is a collaborative ontology project for the definition of sequence features used in biological sequence annotation. It is part of the Open Biomedical Ontologies library.

An ontology of information entities about an individual

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.

Unified Code for Units of Measure (UCUM) is a code system intended to include all units of measures being contemporarily used in international science, engineering, and business.

An ontology of qualifications, distinctions, and certifications that uses the Phenotype And Trait Ontology term quality (PATO:0000001) as a root term.

A project supporting the DRAO application ontology, a hierarchy of specific research domains and descriptors which imports subsets of terms from over 40 publicly-available terminologies. (from repository)

The midlevel energy ontology (MENO) is a BFO-based midlevel ontology. It comprises the concepts for energy qualities, energy-based dispositions and energy-driven transformation and transfer processes and their interrelations. It has the goal to provide an upper level structure for these concepts for energy-related domain ontologies.

Biofactoid is a web-based system that empowers authors to capture and share machine-readable summaries of molecular-level interactions described in their publications.

A terminology for the skills necessary to make data FAIR and to keep it FAIR.

An ontology developed as part of the Chemical Analysis Metadata Project (ChAMP) as a resource to semantically annotate standards developed using the ChAMP platform. (source: CAO ontology)

This vocabulary allows multi-dimensional data, such as statistics, to be published in RDF. It is based on the core information model from SDMX (and thus also DDI).

This ontology models classes and relationships describing deep learning networks, their component layers and activation functions, as well as potential biases.

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

Sharkipedia is an open source research initiative to make all published biological traits and population trends on sharks, rays, and chimaeras accessible to everyone.

The academic event ontology, currently still in development and thus unstable, is an OBO compliant reference ontology for describing academic events such as conferences, workshops or seminars and their series. It is being developed as part of the [ConfIDent project](https://projects.tib.eu/confident/) to allow RDF representations of the academic events and series stored and curated in the [ConfIDent platform](https://www.confident-conference.org/index.php/main_page).

A concept scheme that defines the types of relationships between a learning resource and a node in an educational framework.