NBONeuro Behavior Ontology
An ontology of human and animal behaviours and behavioural phenotypes
Brain data standards, behaviour and neuroscience metadata. See neuroschema.org for the full neuroscience catalog.
An ontology of human and animal behaviours and behavioural phenotypes
The Addiction Ontology (AddictO) is an ontology being developed all aspects of addiction research.
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.
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 ontology that represents the basic knowledge of physical, chemical and functional characteristics of nanotechnology as used in cancer diagnosis and therapy.
An XML-based language (with XSD schema) for describing detailed neuron, synapse and network models in a simulator-independent way.
NIFSTD is a base namespace (like obo:) which houses many other prefixes. Sometimes NIFSTD prefixed identifiers appear undifferentiated, but usually if it shows up it means that another prefix definition is missing when serializing.
The Foundational Model of Anatomy Ontology (FMA) is a biomedical informatics ontology. It is concerned with the representation of classes or types and relationships necessary for the symbolic representation of the phenotypic structure of the human body. Specifically, the FMA is a domain ontology that represents a coherent body of explicit declarative knowledge about human anatomy.
A structured vocabulary and annotation system for describing experimental events in time-series data such as EEG, MEG, fMRI and behavior.
A set of metadata models and controlled terms for neuroscience graph databases, covering datasets, subjects, methods, software, models and brain atlases (SANDS).
The Epilepsy and Seizure Ontology (EpSO) is an application ontology developed to support epilepsy focused informatics tools for patient care and clinical research.
File and metadata structure for datasets in the NIH SPARC programme on the peripheral nervous system, with curation tooling that maps to InterLex terms.
A controlled vocabulary to support the study of transcription in the mouse brain
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 controlled vocabulary to support the study of transcription in the developing human brain
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.
Neural ElectroMagnetic Ontology (NEMO) describes classes of event-related brain potentials (ERP) and their properties, including spatial, temporal, and functional (cognitive/behavioral) attributes, and data-level attributes (acquisition and analysis parameters). FAIRsharing curators have been unable to contact the project developers, and as such this record has been marked as Uncertain. Please contact us if you have any information on this resource.
Metadata schemas and curation documentation for BICAN data, each reviewed and standardized by the BICAN Metadata and Ontologies Integration Working Group (MOWG).
Open SHACL schemas for neuroscience data and provenance, originally developed within INCF and used by Blue Brain Nexus.
A controlled vocabulary to support the study of transcription in the developing mouse brain
A controlled vocabulary to support the study of transcription in the human brain
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.
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 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 collaborative knowledge base of cognitive concepts, tasks, and the relations between them, built for annotating cognitive neuroscience experiments.
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.
The Construction Site Network Ontology (CNO) is intended to add concepts and connect them to existing ontologies such as ifcOWL to enable singal strength estimation approaches. It is based on recommendation ITU-R P.2040 [1]. This work is part of the research project EConoM, funded by the Federal Ministry for Digital and Transport of Germany within the initiative InnoNT (funding number 19Ol22009F).
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.
Models knowledge about Parkinson's disease, including etiology, symptoms, diagnosis and treatment, for literature mining and data integration.
Terminologies for the odML metadata format, giving standard keys for describing electrophysiology experiments, subjects and hardware.
A knowledge management system for nervous system structure and connectivity data, with its own brain region nomenclatures. A legacy resource.
The Cell Ontology is designed as a structured controlled vocabulary for cell types. The ontology was constructed for use by the model organism and other bioinformatics databases, incorporating cell types from prokaryotes to mammals, and includes plants and fungi.
Uberon is an integrated cross-species anatomy ontology representing a variety of entities classified according to traditional anatomical criteria such as structure, function and developmental lineage. The ontology includes comprehensive relationships to taxon-specific anatomical ontologies, allowing integration of functional, phenotype and expression data.
The Mondo Disease Ontology (Mondo) aims to harmonize disease definitions across the world.
The Gene Ontology project provides a controlled vocabulary to describe gene and gene product attributes in any organism.
An ontology representing the gross anatomy of Drosophila melanogaster.
The Human Phenotype Ontology (HPO) aims to provide a standardized vocabulary of phenotypic abnormalities encountered in human disease. Each term in the HPO describes a phenotypic abnormality, such as atrial septal defect. The HPO is currently being developed using the medical literature, Orphanet, DECIPHER, and OMIM.
The OBO Relation Ontology provides consistent and unambiguous formal definitions of the relational expressions used in biomedical ontologies.
A structured controlled vocabulary of the anatomy and development of the Zebrafish
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.
The Mental Functioning Ontology is an overarching ontology for all aspects of mental functioning.
Ontology about the gross anatomy of the C. elegans
An ontology of affective phenomena such as emotions, moods, appraisals and subjective feelings.
The Mental Disease Ontology is developed to facilitate representation for all aspects of mental disease. It is an extension of the Ontology for General Medical Science (OGMS) and Mental Functioning Ontology (MF).
Cell types that are provisionally defined by experimental techniques such as single cell transcriptomics rather than a straightforward & coherent set of properties.
Alzheimer's Disease Ontology is a knowledge-based ontology that encompasses varieties of concepts related to Alzheimer'S Disease, foundamentally structured by upper level Basic Formal Ontology(BFO). This Ontology is enriched by the interrelational entities that demonstrate the nextwork of the understanding on Alzheimer's disease and can be readily applied for text mining.
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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