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Dataset . 2021
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ZENODO
Dataset . 2021
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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2022
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SPARC Connectivity Knowledge base of the Autonomic Nervous System

Authors: Tom Gillespie; Bernard de Bono; Monique Surles-Zeigler; Natallia Kokash; Jyl Boline; Jeffrey Grethe; Maryann Martone;

SPARC Connectivity Knowledge base of the Autonomic Nervous System

Abstract

The SPARC Knowledge base of the Automatic Nervous System (SCKAN) is an integrated graph database composed of three parts: the SPARC dataset metadata graph, ApiNATOMY and NPO models of connectivity, and the larger ontology used by SPARC which is a combination of the NIF-Ontology and community ontologies. The fastest way to get querying is to follow the instructions in the SCKAN readme file. This release contains the raw and compiled data for SCKAN. The release-*.zip contains raw data inputs along with the Blazegraph journal file, the sparc-sckan-graph-*.zip contains the SciGraph database, and sckan-data-*.tar.gz is a Docker image that contains the Blazegraph journal file and the SciGraph database along with the configuration files for running each of the servers. The image is intended to be used as a data volume with another Docker container that runs the SciGraph and Blazegraph server software. The Docker image containing this data is available live and is likely easier to use than the archived image included in this release. See the SCKAN readme file for the most up-to-date instructions. We would like to thank the members of the SAWG (SPARC Anatomy Working Group, RRID:SCR_018709) for their work on the various connectivity models included in this release. This work was funded by the NIH Common Fund under 3OT2OD030541-01S1.

Keywords

SPARC autonomic nervous neuroscience anatomy ApiNATOMY NIF-Ontology ontology connectivity

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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