SPARC Connectivity Knowledge base of the Autonomic Nervous System
Creators
- 1. University of California, San Diego
- 2. University of Auckland, Auckland, New Zealand
- 3. Peoples' Friendship University of Russia: Moscow, RU
Description
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.
For background information please see https://scicrunch.org/sawg/about/SCKAN and the SPARC portal resource page about SCKAN.
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.