Datasets:

EEGDash
/

ds007120

pretty_name: iEEG_comprehensive_HFA_model_part2
license: cc0-1.0
tags:
  - ieeg
  - neuroscience
  - eegdash
  - brain-computer-interface
  - pytorch
  - sleep
  - epilepsy
size_categories:
  - n<1K
task_categories:
  - other

iEEG_comprehensive_HFA_model_part2

Dataset ID: ds007120

Hatano2025_part2

At a glance: IEEG · Sleep sleep · epilepsy · 65 subjects · 70 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="ds007120", 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/ds007120")

Dataset metadata


Subjects	65
Recordings	70
Tasks (count)	1
Channels	128 (×13), 112 (×10), 104 (×5), 132 (×4), 110 (×4), 118 (×3), 138 (×2), 150 (×2), 56 (×2), 126 (×2), 120 (×2), 108 (×2), 130 (×2), 140 (×2), 106 (×2), 100 (×2), 34 (×1), 144 (×1), 156 (×1), 116 (×1), 122 (×1), 136 (×1), 84 (×1), 134 (×1), 124 (×1), 98 (×1), 164 (×1)
Sampling rate (Hz)	1000 (×70)
Total duration (h)	41.9
Size on disk	33.0 GB
Recording type	IEEG
Experimental modality	Sleep
Paradigm type	Sleep
Population	Epilepsy
Source	openneuro
License	CC0

iEEG_comprehensive_HFA_model_part2

Load this dataset

Dataset metadata

Links