loading... loading...
Go to the REST API JSON entry
Get my metadata back
| Number of classes: | 906907 |
|---|---|
| Number of individuals: | 0 |
| Number of properties: | 3 |
| Maximum depth: | 39 |
| Maximum number of children: | 41384 |
| Average number of children: | 10 |
| Classes with a single child: | 37681 |
| Classes with more than 25 children: | 4506 |
| Classes with no definition: | 906907 |
Visits Download as CSV
includedInDataCatalog
logo
Details
| Acronym | NCBITAXON |
|---|---|
| Visibility | Public |
| Description | The NCBI Taxonomy Database is a curated classification and nomenclature for all of the organisms in the public sequence databases. This currently represents about 10% of the described species of life on the planet. |
| Status | Production |
| Format | UMLS |
| Contact | NCBI information, info@ncbi.nlm.nih.gov |
| Home Page | https://www.ncbi.nlm.nih.gov/ |
| Publications Page | https://doi.org/10.1093/nar/gki062 |
| Documentation Page | https://www.nlm.nih.gov/research/umls/sourcereleasedocs/current/NCBI/ |
| Categories | Taxonomic Classifications of Organisms |
| Groups | OBO Foundry, Rice Data Interoperability working group |
Additional Metadata
| URI | http://purl.obolibrary.org/obo/ncbitaxon.obo |
|---|---|
| Natural Language | |
| version | 2015AA |
| Release date | 2015-06-09T17:38:59-07:00 |
| has Formality Level | http://w3id.org/nkos/nkostype#taxonomy |
| Ontology Syntax | http://www.w3.org/ns/formats/Turtle |
| is Of Type | http://omv.ontoware.org/2005/05/ontology#DomainOntology |
| is Aligned To | EO, GR-TAX, CL, FOODON, PECO |
| publisher | NCBI (https://www.ncbi.nlm.nih.gov/) |
| is Format Of | https://www.ncbi.nlm.nih.gov/taxonomy |
| has Format | http://purl.obolibrary.org/obo/ncbitaxon.owl |
| more Permissions | Information that is created by or for the US government on this site is within the public domain. Public domain information on the National Library of Medicine (NLM) Web pages may be freely distributed and copied. However, it is requested that in any subsequent use of this work, NLM be given appropriate acknowledgment. |
| example Identifier | http://purl.bioontology.org/ontology/NCBITAXON/201174 |
| copyright Holder | NLM (https://www.nlm.nih.gov/) |
Reviews Add your review
No reviews available.
Submissions
| Submission | Release Date | Upload Date | Downloads |
|---|---|---|---|
| 2015AA (Parsed, Indexed, Metrics, Annotator) | 06/09/2015 | 06/23/2015 | RDF/TTL | CSV |
Views Create new view
No views available.
Projects Using This Ontology Create new project
| Project | Description | People | Institution |
|---|---|---|---|
|
Agrisemantics Map of Data Standards
|
This Agrisemantics (previously called VEST-AgroPortal) Map of...
This Agrisemantics (previously called VEST-AgroPortal) Map of Data Standards provides a global map of existing vocabularies for the exchange of data in the field of food and agriculture. The directory is the result of the merging of records from two different sources: the VEST Registry (a registry of vocabularies of all types and all formats) and the AgroPortal (a repository of ontologies).
|
Valeria Pesce (valeria.pesce@fao.org)
Valeria Pesce (valeria.pesce@fao.org)
|
Food & Agriculture Organization |
|
Agronomic Linked Data
|
AgroLD is a RDF knowledge base that consists of data integrated...
AgroLD is a RDF knowledge base that consists of data integrated from a variety of plant resources and ontologies. The aim of the Agronomic Linked Data (AgroLD) project is to provide a portal for bioinformatics and domain experts to exploit the homogenized data models towards efficiently generating research hypotheses.
|
Pierre Larmande (pierre.larmande@ird.fr)
Pierre Larmande (pierre.larmande@ird.fr)
|
IRD |
|
Computational Biology Institute
|
Modeling, processing and analysis of large scale data in biology, health, agronomy and environment.
Modeling, processing and analysis of large scale data in biology, health, agronomy and environment.
|
Pierre Larmande (pierre.larmande@ird.fr)
Pierre Larmande (pierre.larmande@ird.fr)
|
University of Montpellier, CNRS, CIRAD, INRIA, IRD, INRAE, SupAgro, INSERM |
loading... loading... loading...