dandiarchive-dataset/s3://dandiarchive

DANDI: Distributed Archives for Neurophysiology Data Integration

DANDI is a public archive of neurophysiology datasets, including raw and processed data, and associated software containers. Datasets are shared according to a Creative Commons CC0 or CC-BY licenses. This US BRAIN Initiative supported data archive publishes and shares neurophysiology data including electrophysiology, optophysiology, and behavioral time-series, and images from immunostaining experiments.

The data uses a set of community standards:

• NWB: Neurodata Without Borders
• BIDS: Brain Imaging Data Structure
• NIDM: Neuro Imaging Data Model
• NGFF: Next Generation File Format

Development of DANDI is supported by the National Institute of Mental Health.

Dandisets

We define a DANDI dataset as a Dandiset. A Dandiset is an organized collection of assets (files) with both file level and dataset level metadata generated from an experiment or a project.

Web resources

• Web interface: https://dandiarchive.org/
• API: https://api.dandiarchive.org/swagger/
• Handbook: https://handbook.dandiarchive.org
• Helpdesk: https://github.com/dandi/helpdesk/issues/new/choose
• Github: https://github.com/dandi
• S3 Location: s3://dandiarchive/
• DANDI Hub (a Jupyterhub instance): https://hub.dandiarchive.org/ (Requires registration via the Web interface)

Organization of the S3 bucket

• blobs - This key store houses the actual binary data indexed by unique keys. This is done to provide deduplication when publishing new datasets containing existing data.
• dandisets - Information about each Dandiset including metadata, a manifest of all assets contained in a Dandiset, and asset metadata. This information should allow anyone to access all the data relevant to a Dandiset

Other prefixes in the bucket can be ignored. For example:

• dandiarchive - This folder stores an inventory listing of all items in the bucket. This is generated automatically by the S3 Inventory service.

Keywords:

• biology
• cell imaging
• electrophysiology
• infrastructure
• life sciences
• neuroimaging
• neurophysiology
• neuroscience