EEGDash/ds003004

Imagined Emotion Study

Dataset ID: ds003004

Onton2020

At a glance: EEG · 34 subjects · 34 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="ds003004", 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/ds003004")

Dataset metadata

Subjects	34
Recordings	34
Tasks (count)	1
Channels	219 (×3), 224 (×3), 212 (×2), 221 (×2), 214 (×2), 134 (×1), 209 (×1), 218 (×1), 215 (×1), 235 (×1), 201 (×1), 211 (×1), 189 (×1), 208 (×1), 229 (×1), 220 (×1), 232 (×1), 222 (×1), 231 (×1), 226 (×1), 207 (×1), 206 (×1), 213 (×1), 180 (×1), 196 (×1), 223 (×1), 227 (×1)
Sampling rate (Hz)	256 (×34)
Total duration (h)	49.1
Size on disk	36.0 GB
Recording type	EEG
Source	openneuro
License	CC0
NEMAR citations	7.0

Links

• DOI: 10.18112/openneuro.ds003004.v1.1.1
• OpenNeuro: ds003004
• 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.