NBONeuro Behavior Ontology
Covers behavioral processes and phenotypes, such as learning, motor and social behavior, for annotating animal and human behavior.
Brain data standards, behaviour and neuroscience metadata. See neuroschema.org for the full neuroscience catalog.
Covers behavioral processes and phenotypes, such as learning, motor and social behavior, for annotating animal and human behavior.
An ontology being developed to cover all aspects of addiction research. It imports from, and is reused by, the Behaviour Change Intervention Ontology (BCIO).
A community standard for organising and describing neuroimaging and related data: MRI, EEG, MEG, iEEG, PET, microscopy, NIRS, motion, MRS, EMG, eye tracking, and derivatives such as atlases. Its rules are a machine-readable YAML schema, also exported as one JSON file, that renders the specification and drives the BIDS Validator. Metadata fields point to HED, Cognitive Atlas, CogPO, the Cell Ontology, NCBI Taxonomy and RRIDs.
Defines neuron types by combinations of phenotypes (location, morphology, molecular markers, electrophysiology, projections). Part of the NIF Ontology.
Represents epilepsy syndromes, seizure types, EEG findings and treatments, aligned with ILAE classifications.
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.
A data standard and schema for neurophysiology: extracellular and intracellular electrophysiology, optical physiology, behavior and stimuli, extensible via neurodata extensions (NDX).
An XML-based language (with XSD schema) for describing detailed neuron, synapse and network models in a simulator-independent way.
The Neuroscience Information Framework ontology: a broad, modular set of neuroscience terms spanning anatomy, cells, molecules, techniques and resources.
A structured vocabulary and annotation system for describing experimental events in time-series data such as EEG, MEG, fMRI and behavior.
A detailed reference ontology of human anatomy, including fine-grained neuroanatomy. Marked inactive in the OBO Foundry; much of its neuro content is cross-referenced from Uberon.
A set of metadata models and controlled terms for neuroscience graph databases, covering datasets, subjects, methods, software, models and brain atlases (SANDS).
The hierarchy of adult mouse brain regions used by the Allen Mouse Brain Atlas and Common Coordinate Framework, packaged as an OWL ontology by the BICAN community.
Ontologies for event-related potential (ERP) data and analysis in EEG and MEG studies. A legacy resource.
A lightweight, BIDS-inspired specification for organising systems-neuroscience project folders by subject, session and datatype (ephys, behav, funcimg, anat) from acquisition onward. Developed by the Neuroinformatics Unit at the Sainsbury Wellcome Centre and implemented by datashuttle.
A BIDS-inspired standard for organising datasets from psychological and behavioural research (experiments, surveys, assessments): CSV data files with keyword-formatted names and dataset metadata in schema.org JSON-LD. What counts as valid is defined by a versioned YAML schema model that the Psych-DS validators read.
File and metadata structure for datasets in the NIH SPARC programme on the peripheral nervous system, with curation tooling that maps to InterLex terms.
Brain region hierarchy of the developing human brain, as used by BrainSpan and the Allen developing human atlases.
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.
An RDF vocabulary (nb:) and a JSON Schema for data dictionaries that harmonise participant-level metadata (age, sex, diagnosis, assessments, imaging modality, processing pipelines) by annotating BIDS participants.tsv columns with SNOMED CT, NCIt and NIDM terms. The resulting graphs power Neurobagel's federated search across datasets.
A JSON-LD schema for standardising assessments and questionnaires, with versioned items, scoring and provenance, plus a shared library of instruments.
A BICAN ontology that harmonizes brain anatomy terms across mammalian brain atlases. Built with the Ontology Development Kit; early-stage.
Metadata schemas and curation documentation for BICAN data, each reviewed and standardized by the BICAN Metadata and Ontologies Integration Working Group (MOWG).
Brain region hierarchy of the Allen Developing Mouse Brain Atlas, covering embryonic and postnatal stages.
Adult human brain region hierarchy from the Allen Human Brain Atlas, packaged as an OWL ontology.
Open SHACL schemas for neuroscience data and provenance, originally developed within INCF and used by Blue Brain Nexus.
A controlled vocabulary of terms used to describe and annotate computational neuroscience models. A legacy resource.
An application ontology covering research, research subjects and research results in BICAN, linking experimental knowledge to how data is distributed. It builds on earlier BICCN and Brain Data Standards work.
The standard file format for volumetric neuroimaging data. A fixed binary header (NIfTI-1, or NIfTI-2 for large dimensions) carries voxel-to-world affines (qform/sform), units, intent codes and extensions, followed by the image array. Defined by the NIfTI Data Format Working Group; CIFTI-2 builds on NIfTI-2 for grayordinate data.
A JSON Schema for recording cell type annotations of single-cell datasets, including evidence, marker genes and links to ontology terms.
An ontology for NMD functional evaluations
A collaborative knowledge base of cognitive concepts, tasks, and the relations between them, built for annotating cognitive neuroscience experiments.
A family of W3C PROV-based specifications for describing neuroimaging experiments, workflows and results (NIDM-Experiment, NIDM-Workflows, NIDM-Results).
An early-stage BICAN ontology repository for spinal cord atlas structures, set up with the Ontology Development Kit.
A controlled vocabulary to support the study of transcription in the primate brain
Describes the stimuli, instructions and responses that make up cognitive experimental paradigms in neuroimaging studies.
A 3D reference space for the adult mouse brain with annotated regions at 10 µm resolution. The de facto standard for registering mouse brain data.
A generic data model and HDF5-based file format, started in the INCF Electrophysiology Task Force, that stores neuroscience data (time series, images, events, regions of interest) together with their metadata in one container. Metadata follow the odML model, and Neo reads and writes NIX files.
The Ion Channel Electrophysiology Ontology supports the capture of voltage-gated ion channel electrophysiological data from the literature in a structured manner and thus enables other applications such as querying and reasoning tools.
Probabilistic cytoarchitectonic maps of the human brain, available through EBRAINS and the siibra toolsuite.
An open, MRI/DTI-based volumetric atlas and reference space for the rat brain with delineated regions.
Expert-curated, evidence-based annotations of synaptic gene functions and locations, organised with Gene Ontology terms.
An ontology of experimental techniques and methods used across the BRAIN Initiative Cell Atlas Network, to help scientists describe how data were produced.
A convention for naming and identifying data-driven cell types and taxonomies so that they can be compared and tracked across studies.
A dynamic term registry (successor to NeuroLex) where neuroscience terms are minted, linked to existing ontologies and given stable ILX identifiers.
A framework for representing neurological diseases together with their diagnosis, treatment and associated clinical findings.
A long-standing nomenclature of primate brain structures with synonyms across languages and atlases, served through BrainInfo.
An application ontology of the Allen Institute Primate Brain Atlas structure graph, mapped to Uberon. Currently in draft status.
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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.
The reference ontology of cell types across organisms, with a large and growing branch of neuron and glial types.
A unified disease ontology that merges many disease resources, with comprehensive coverage of neurological and neurodevelopmental disorders.
Describes gene product functions, processes and locations, including synaptic transmission, neurotransmitter release and neuron development.
Anatomy of Drosophila melanogaster, including thousands of named neuron types linked to connectome datasets.
Standard vocabulary of phenotypic abnormalities in human disease, with a large nervous system abnormality branch used in rare-disease diagnostics.
The OBO Relation Ontology provides consistent and unambiguous formal definitions of the relational expressions used in biomedical ontologies.
Anatomy and development of the zebrafish, including the larval and adult nervous system.
An ontology that formalizes IASP's definition of pain as both an unpleasant physical and emotional experience, and it provides terms and axioms to represent the multidimensional aspects of pain, such as temporality, quality, extent, biological mechanism, and anatomical location.
Represents mental functioning, including mental processes such as cognition and traits such as intelligence.
Anatomy of Caenorhabditis elegans, including every identified neuron of its 302-neuron nervous system.
Represents affective phenomena such as emotions, moods and appraisals, as an extension of the Mental Functioning Ontology.
Holds data-driven cell types (e.g. from single-cell transcriptomics of the brain) before they are ready for the Cell Ontology, linked to their source taxonomies.
Describes and categorises mental disorders, built on the Mental Functioning Ontology.
Covers the clinical, preclinical and molecular knowledge domains of Alzheimer's disease.
The upper level ontology upon which OBO Foundry ontologies are built.
SSTIM is an open OWL and SKOS vocabulary for sensory stimulation. It mints identifiers for stimulation techniques, stimuli and their parameters, delivery media and body placements, exposure and safety boundaries, session records, and the evidence assessments attached to a claim. It exists so that auditory, visual, tactile and cross-modal stimulation protocols can be described and exchanged in one vocabulary instead of per-study prose, and it is used by researchers, tool builders and the W3C Sensory Stimulation Vocabulary Community Group.
The GALENOS Mental Health Ontology (GMHO) is being developed to represent the full range of concepts relevant to mental health. It forms a core component of the Global Alliance for Living Evidence on aNxiety, depressiOn and pSychosis (GALENOS) project, which aims to build a living evidence base for anxiety, depression, and psychosis.
The core Ontology of Clinical Trials (CTO) will serve as a structured resource integrating basic terms and concepts in the context of clinical trials. Thereby covering clinicaltrails.gov. CoreCTO will serve as a basic ontology to generate extended versions for specific applications such as annotation of variables in study documents from clinical trials.
NIF Cell: Neuronal cell types. A ontology listed in Bioregistry, OBO Foundry.
The Terminology for Description of Dynamics (TEDDY) is an ontology for dynamical behaviours, observable dynamical phenomena, and control elements of bio-models and biological systems in Systems Biology and Synthetic Biology.
The "Neuroscience Information Framework Gross Anatomy" was developed as part of the NIF Standard Ontologies. It extended NeuroNames by including terms from BIRNLex, SumsDB, BrainMap.org, etc.; for multi-scale representation of the nervous system and macroscopic anatomy. For more information, see the article "Development and use of Ontologies Inside the Neuroscience Information Framework: A Practical Approach" FT Imam et al, Front Genet 2012 Jun 22; 3:111. doi: 10.3389/fgene.2012.00111. eCollection 2012 https://pubmed.ncbi.nlm.nih.gov/22737162/
SWAN ontology consists in a collection of ontologies used to create, manage and share scientific knowledge bases.
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