EEGDash/ds003848

Dataset Clinical Epilepsy iEEG to BIDS - RESPect_longterm_iEEG

Dataset ID: ds003848

Blooijs2021

Canonical aliases: RESPect_longterm

At a glance: IEEG · Other clinical/intervention · epilepsy · 6 subjects · 22 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="ds003848", 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 RESPect_longterm
ds = RESPect_longterm(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/ds003848")

Dataset metadata

Subjects	6
Recordings	22
Tasks (count)	6
Channels	133 (×18), 68 (×4)
Sampling rate (Hz)	2048 (×21), 512 (×1)
Total duration (h)	20.3
Size on disk	65.0 GB
Recording type	IEEG
Experimental modality	Other
Paradigm type	Clinical/Intervention
Population	Epilepsy
Source	openneuro
License	CC0
NEMAR citations	1.0

Links

• DOI: 10.18112/openneuro.ds003848.v1.0.3
• OpenNeuro: ds003848
• 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.