Datasets:

EEGDash
/

ds007118

pretty_name: iEEG_comprehensive_HFA_model_part1
license: cc0-1.0
tags:
  - ieeg
  - neuroscience
  - eegdash
  - brain-computer-interface
  - pytorch
  - sleep
size_categories:
  - n<1K
task_categories:
  - other

iEEG_comprehensive_HFA_model_part1

Dataset ID: ds007118

Hatano2025_part1

Canonical aliases: Hatano

At a glance: IEEG · Sleep sleep · unknown · 65 subjects · 82 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="ds007118", 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 Hatano
ds = Hatano(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/ds007118")

Dataset metadata


Subjects	65
Recordings	82
Tasks (count)	1
Channels	128 (×21), 112 (×17), 124 (×6), 102 (×5), 108 (×4), 120 (×4), 68 (×3), 116 (×3), 138 (×3), 118 (×3), 106 (×2), 144 (×2), 64 (×2), 122 (×1), 114 (×1), 74 (×1), 94 (×1), 36 (×1), 132 (×1), 58 (×1)
Sampling rate (Hz)	1000 (×82)
Total duration (h)	44.2
Size on disk	33.8 GB
Recording type	IEEG
Experimental modality	Sleep
Paradigm type	Sleep
Population	Unknown
Source	openneuro
License	CC0

iEEG_comprehensive_HFA_model_part1

Load this dataset

Dataset metadata

Links