CLCell Ontology
The reference ontology of cell types across organisms, with a large and growing branch of neuron and glial types.
Neuroscience ontologies, schemas & standards
A curated, automatically evaluated catalog of neuroscience ontologies, schemas, vocabularies and data standards. Every entry is scored against the FAIR principles, ontology quality, maintenance and community adoption, with the exact version evaluated and full provenance.
The reference ontology of cell types across organisms, with a large and growing branch of neuron and glial types.
A cross-species anatomy ontology covering animals, with extensive coverage of nervous system structures. It is the common anatomy backbone for many cell, expression and phenotype resources.
Describes gene product functions, processes and locations, including synaptic transmission, neurotransmitter release and neuron development.
A unified disease ontology that merges many disease resources, with comprehensive coverage of neurological and neurodevelopmental disorders.
Anatomy of Drosophila melanogaster, including thousands of named neuron types linked to connectome datasets.
An ontology of small molecules, including neurotransmitters, neuromodulators and neuroactive drugs, with their chemical roles.
A structured vocabulary and annotation system for describing experimental events in time-series data such as EEG, MEG, fMRI and behavior.
Standard vocabulary of phenotypic abnormalities in human disease, with a large nervous system abnormality branch used in rare-disease diagnostics.
A community standard for organising and describing neuroimaging and related data (MRI, EEG, MEG, iEEG, PET, microscopy, and more). Its rules are published as a machine-readable YAML schema.
LinkML data models for the BRAIN Initiative Cell Atlas Network (BICAN) knowledgebase: taxonomies, assertions and evidence, library generation, anatomical structures, genome annotation, donors and a BICAN subset of Biolink. JSON Schema and Pydantic models are generated from the LinkML sources.
A set of metadata models and controlled terms for neuroscience graph databases, covering datasets, subjects, methods, software, models and brain atlases (SANDS).
The metadata models of the DANDI neurophysiology archive. Pydantic models in the dandischema library define Dandiset and asset metadata; versioned JSON Schemas plus a JSON-LD context are generated from them and published in the dandi/schema repository. The library also converts Dandiset metadata to DataCite for DOIs.
Beyond neuroscience
NeuroSchema covers neuroscience. For ontologies and schemas in every other field, from life sciences, chemistry and earth science to engineering, privacy, law and computing, use our sister catalog SchemaScope. It is scored with the same rubric.
Submit it through GitHub. Every addition is reviewed, validated and evaluated automatically before it is merged.