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EEGDash

imported

data/eegdash

EEG-DaSh: an open data, tool, and compute resource. a Python library and catalog for 700+ BIDS-first EEG, MEG, fNIRS, EMG, and iEEG datasets, ML-ready via PyTorch

Machine-generated from the listed sources and not yet reviewed by a human.

EEGDash project image
GitHub preview card for eegdash/EEGDash. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Data & Standards
Subcategory
unknown
License
BSD-3-Clause(osi)
Status
active
Maturity
deployed
Organization
eegdash
Country
unknown
Homepage
eegdash.org/
Documentation
unknown
Tags
aws · aws-s3 · data-sharing · deep-learning · eeg · eeg-signals · electroencephalography · fair-principles
Regulatory
unknown
built by · 6

Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.

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  • mne-bidseeg · electroencephalography

    MNE-BIDS is a Python package that allows you to read and write BIDS-compatible datasets with the help of MNE-Python.

sources
  1. api.github.com/repos/eegdash/EEGDash
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-07-01, 80 stars, license reported as BSD-3-Clause. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/4.json→ .entries["eegdash"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.