EEGDash/ds006253

MetaRDK

Dataset ID: ds006253

Goueytes2024

Canonical aliases: MetaRDK

At a glance: IEEG · Visual decision-making · epilepsy · 23 subjects · 201 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="ds006253", cache_dir="./cache")
print(len(ds), "recordings")

You can also load it by canonical alias — these are registered classes in eegdash.dataset:

from eegdash.dataset import MetaRDK
ds = MetaRDK(cache_dir="./cache")

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/ds006253")

Dataset metadata

Subjects	23
Recordings	201
Tasks (count)	4
Channels	122 (×13), 185 (×2), 120 (×1), 143 (×1), 156 (×1), 186 (×1), 201 (×1), 132 (×1)
Size on disk	656.2 KB
Recording type	IEEG
Experimental modality	Visual
Paradigm type	Decision-making
Population	Epilepsy
Source	openneuro
License	CC0

Links

• DOI: 10.18112/openneuro.ds006253.v1.0.3
• OpenNeuro: ds006253
• 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.