Distributed Archives for Neurophysiology Data Integration (DANDI) Dataset for Machine Learning
Install DagsHub:
pip install dagshubTo stream this data directly on DagsHub
from dagshub.streaming import DagsHubFilesystem
fs = DagsHubFilesystem(".", repo_url="https://dagshub.com/DagsHub-Datasets/dandiarchive-dataset")
fs.listdir("s3://dandiarchive")Description
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. The data archive provides a broad range of cellular neurophysiology data. This includes electrode and optical recordings, and associated imaging data using a set of community standards: NWB:N – NWB:Neurophysiology, BIDS – Brain Imaging Data Structure, and NIDM – Neuro Imaging Data Model. Development of DANDI is supported by the National Institute of Mental Health.
Additional information
Documentation
Update frequency
New datasets deposited every month
Managed by
License
CC0, CC-BY
