Datasets:

EEGDash
/

ds004752

pretty_name: >-
  Dataset of intracranial EEG, scalp EEG and beamforming sources from epilepsy
  patients performing a verbal working memory task
license: cc0-1.0
tags:
  - eeg
  - neuroscience
  - eegdash
  - brain-computer-interface
  - pytorch
size_categories:
  - n<1K
task_categories:
  - other

Dataset of intracranial EEG, scalp EEG and beamforming sources from epilepsy patients performing a verbal working memory task

Dataset ID: ds004752

Dimakopoulos2023_intracranial

At a glance: EEG, IEEG · 15 subjects · 136 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="ds004752", 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/ds004752")

Dataset metadata


Subjects	15
Recordings	136
Tasks (count)	1
Channels	64 (×34), 8 (×16), 20 (×15), 21 (×14), 19 (×10), 10 (×7), 46 (×6), 68 (×6), 36 (×6), 23 (×6), 62 (×4), 48 (×4), 32 (×3), 40 (×3), 80 (×2)
Sampling rate (Hz)	2000 (×40), 4000 (×40), 200 (×36), 4096 (×20)
Total duration (h)	0.3
Size on disk	10.2 GB
Recording type	EEG, IEEG
Source	openneuro
License	CC0
NEMAR citations	4.0

Dataset of intracranial EEG, scalp EEG and beamforming sources from epilepsy patients performing a verbal working memory task

Load this dataset

Dataset metadata

Links