DANDI: Neurophysiology Data Archive from the US BRAIN Initiative

DANDI is a public archive of neurophysiology datasets from over 20 species, supported by the US BRAIN Initiative. It includes raw and processed data such as electrophysiology, calcium imaging, and behavioral time-series, organized using community standards like NWB and BIDS. Development is supported by the National Institute of Mental Health.

Use Cases

• Train models for neural signal decoding based on intracellular and extracellular electrophysiology data.
• Develop computer vision algorithms for brain cell analysis based on calcium imaging and immunostaining images.
• Analyze behavioral correlates using the behavioral time-series data mentioned in the description.
• Benchmark data standardization tools using the NWB, BIDS, NGFF, and NIDM community formats.

Strengths

• Data is shared under permissive Creative Commons CC0 or CC-BY licenses.
• Archive includes data from over 20 species, providing taxonomic diversity.
• Data is organized using multiple community standards (NWB, BIDS, NGFF, NIDM) for interoperability.

Limitations

• Row count and dataset size are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

DANDI Archive, supported by the US BRAIN Initiative and the National Institute of Mental Health.

Collection Method

Public archive aggregating contributed neurophysiology datasets.

Time Range

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Freshness

Last updated date is unknown.

Geography

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