Datasets:

EEGDash
/

ds003844

pretty_name: Dataset Clinical Epilepsy iEEG to BIDS -RESPect_intraoperative_iEEG
license: cc0-1.0
tags:
  - ieeg
  - neuroscience
  - eegdash
  - brain-computer-interface
  - pytorch
  - resting-state
  - clinical-intervention
  - epilepsy
size_categories:
  - n<1K
task_categories:
  - other

Dataset Clinical Epilepsy iEEG to BIDS -RESPect_intraoperative_iEEG

Dataset ID: ds003844

Zweiphenning2021

Canonical aliases: RESPect_intraop

At a glance: IEEG · Resting State clinical/intervention · epilepsy · 6 subjects · 38 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="ds003844", 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_intraop
ds = RESPect_intraop(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/ds003844")

Dataset metadata


Subjects	6
Recordings	38
Tasks (count)	1
Channels	33 (×24), 64 (×9), 32 (×5)
Sampling rate (Hz)	2048 (×33), 256 (×5)
Total duration (h)	2.8
Size on disk	2.6 GB
Recording type	IEEG
Experimental modality	Resting State
Paradigm type	Clinical/Intervention
Population	Epilepsy
Source	openneuro
License	CC0
NEMAR citations	0.0

Dataset Clinical Epilepsy iEEG to BIDS -RESPect_intraoperative_iEEG

Load this dataset

Dataset metadata

Links