README.md

metadata

pretty_name: >-
  EEG: Electrophysiological biomarkers of behavioral dimensions  from
  cross-species paradigms
license: cc0-1.0
tags:
  - eeg
  - neuroscience
  - eegdash
  - brain-computer-interface
  - pytorch
size_categories:
  - n<1K
task_categories:
  - other

EEG: Electrophysiological biomarkers of behavioral dimensions

from cross-species paradigms

Dataset ID: ds003638

Cavanagh2021_Electrophysiological

At a glance: EEG · 57 subjects · 57 recordings · CC0

Load this dataset

This repo is a pointer. The raw EEG data lives at its canonical source (OpenNeuro / NEMAR); EEGDash streams it on demand and returns a PyTorch / braindecode dataset.

# pip install eegdash
from eegdash import EEGDashDataset

ds = EEGDashDataset(dataset="ds003638", cache_dir="./cache")
print(len(ds), "recordings")

If the dataset has been mirrored to the HF Hub in braindecode's Zarr layout, you can also pull it directly:

from braindecode.datasets import BaseConcatDataset
ds = BaseConcatDataset.pull_from_hub("EEGDash/ds003638")

Dataset metadata

Subjects	57
Recordings	57
Tasks (count)	1
Channels	72 (×57)
Sampling rate (Hz)	512 (×57)
Total duration (h)	40.6
Size on disk	15.3 GB
Recording type	EEG
Source	openneuro
License	CC0
NEMAR citations	1.0

Links

• DOI: 10.18112/openneuro.ds003638.v1.0.0
• OpenNeuro: ds003638
• Browse 700+ datasets: EEGDash catalog
• Docs: https://eegdash.org
• Code: https://github.com/eegdash/EEGDash

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Auto-generated from dataset_summary.csv and the EEGDash API. Do not edit this file by hand — update the upstream source and re-run scripts/push_metadata_stubs.py.