There is a newer version of the record available.

Published September 30, 2021 | Version 2021-09-30
Dataset Open

SPARC Connectivity Knowledge base of the Autonomic Nervous System

  • 1. University of California, San Diego
  • 2. University of Auckland, Auckland, New Zealand
  • 3. Peoples' Friendship University of Russia: Moscow, RU

Contributors

Data curator:

  • 1. University of California, San Diego

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.

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.

Files

release-2021-09-30T224840Z-sckan.zip

Files (1.0 GB)

Name Size Download all
md5:f802283ac9ea0c9899d6044289ad8b33
515.8 MB Download
md5:91e669ae73a3d168749bb7e1aa0d861d
85.8 MB Preview Download
md5:1a2b5c207803199db5af95086670e378
441.9 MB Preview Download

Additional details