DANDI is a platform for publishing, sharing, and processing neurophysiology data funded by the BRAIN Initiative. The archive accepts cellular neurophysiology data including electrophysiology, optophysiology, and behavioral time-series, and images from immunostaining experiments. This archive is not just an endpoint to store data, it is intended as a living repository that enables collaboration within and across labs, as well as the entry point for research.
The dandi-archive repository contains a Django-based backend to run the DANDI REST API, and a Vue-based frontend to provide a user interface to the archive.
To learn how to interact with the archive, see the DANDI Docs.
To get help:
To understand how to hack on the archive codebase:
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docker pull dandiarchive/dandiarchive-api