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Distributed Archives for Neurophysiology Data Integration (DANDI)

biology calcium imaging cell imaging electrophysiology hdf5 life sciences neuroimaging neurophysiology neuroscience zarr

Description

DANDI is a public archive of neurophysiology datasets, including raw and processed data, and associated software containers. Datasets are shared according to Creative Commons CC0 or CC-BY licenses. This US BRAIN Initiative supported archive provides a broad range of cellular neurophysiology data including intracellular and extracellular electrophysiology, optophysiology, calcium imaging, fiber photometry, behavioral time-series, and images from immunostaining experiments, from over 20 species.Data is organized using community standards: NWB - Neurodata Without Borders, BIDS - Brain Imaging Data Structure, NGFF - Next Generation File Format for Zarr-based imaging data, and NIDM - Neuro Imaging Data Model.The S3 bucket is organized as follows:

  • dandisets/ - Metadata and manifests for each Dandiset version; manifests reference keys under blobs/ or zarrs/ for actual data. See DANDI schema for manifest format specifications.
  • blobs/ - Deduplicated binary data (NWB files) indexed by content hash.
  • zarrs/ - Zarr arrays for large imaging datasets.
Development of DANDI is supported by the National Institute of Mental Health.

Update Frequency

New datasets deposited every month

License

CC0, CC-BY

Documentation

https://dandiarchive.org

Managed By

DANDI Archive

See all datasets managed by DANDI Archive.

Contact

DANDI Archive Help Desk

How to Cite

Distributed Archives for Neurophysiology Data Integration (DANDI) was accessed on DATE from https://registry.opendata.aws/dandiarchive.

Usage Examples

Tutorials
Tools & Applications
Publications

Resources on AWS

  • Description
    All datasets
    Resource type
    S3 Bucket
    Amazon Resource Name (ARN)
    arn:aws:s3:::dandiarchive
    AWS Region
    us-east-2
    AWS CLI Access (No AWS account required)
    aws s3 ls --no-sign-request s3://dandiarchive/

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