EEGDash/ds004194

Visual ECoG dataset

Dataset ID: ds004194

Groen2022

At a glance: IEEG · Visual perception · epilepsy · 14 subjects · 209 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="ds004194", 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/ds004194")

Dataset metadata

Subjects	14
Recordings	209
Tasks (count)	7
Channels	265 (×66), 133 (×20), 173 (×20), 124 (×14), 140 (×12), 74 (×12), 206 (×12), 160 (×10), 129 (×10), 111 (×10), 91 (×10), 106 (×7), 61 (×6)
Sampling rate (Hz)	512 (×197), 2048 (×12)
Total duration (h)	6.3
Size on disk	7.8 GB
Recording type	IEEG
Experimental modality	Visual
Paradigm type	Perception
Population	Epilepsy
Source	openneuro
License	CC0
NEMAR citations	4.0

Links

• DOI: 10.18112/openneuro.ds004194.v3.0.0
• OpenNeuro: ds004194
• 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.