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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.

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.

similar by tags

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    Python-based EEG data recorder and simulator for generating timestamped CSV datasets for research and machine learning.

  • multi-task-cnn-eeg-emotioneeg · eeg-signals

    Code for the paper "Multi-Task CNN Model for Emotion Recognition from EEG Brain Maps". DEAP dataset. Python/Keras/Tensorflow 2 Impementation.

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.