Searching across hundreds of databases
Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.
URL: https://github.com/SciCrunch/NIF-Ontology/blob/atlas/ttl/atom.ttl
Proper Citation: Atlas Ontology Model (RRID:SCR_023813)
Description: Ontology model for standardizing use of brain atlases in tools, workflows, and data infrastructures. Identifies and defines relationships between four common atlases and characterizes their properties and organization. This model can serve as suggestion for minimum requiremens for atlases and will accelerate neuroscience data integration.
Abbreviations: AOM, AtOM
Resource Type: controlled vocabulary, ontology, data or information resource
Defining Citation: PMID:37495585
Keywords: Allen Mouse Brain Atlas, Allen Common Coordinate Framework,
Expand Allis related to |
|
is organization facet of |
We found {{ ctrl2.mentions.total_count }} mentions in open access literature.
We have not found any literature mentions for this resource.
We are searching literature mentions for this resource.
Most recent articles:
{{ mention._source.dc.creators[0].familyName }} {{ mention._source.dc.creators[0].initials }}, et al. ({{ mention._source.dc.publicationYear }}) {{ mention._source.dc.title }} {{ mention._source.dc.publishers[0].name }}, {{ mention._source.dc.publishers[0].volume }}({{ mention._source.dc.publishers[0].issue }}), {{ mention._source.dc.publishers[0].pagination }}. (PMID:{{ mention._id.replace('PMID:', '') }})
Check
for all resource mentions.
A list of researchers who have used the resource and an author search tool
A list of researchers who have used the resource and an author search tool. This is available for resources that have literature mentions.
No rating or validation information has been found for Atlas Ontology Model.
No alerts have been found for Atlas Ontology Model.
Source: SciCrunch Registry
Atlas Ontology Model is part of the following organization(s):
The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant 2U24DK097771-09.
Email: info_at_ dknet.org
