EEGDash/ds007119

iEEG_comprehensive_HFA_model_part3

Dataset ID: ds007119

Hatano2025_part3

At a glance: IEEG · Sleep sleep · unknown · 103 subjects · 106 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="ds007119", 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/ds007119")

Dataset metadata

Subjects	103
Recordings	106
Tasks (count)	1
Channels	128 (×12), 124 (×5), 86 (×4), 58 (×4), 134 (×4), 120 (×4), 102 (×4), 78 (×4), 94 (×4), 100 (×3), 110 (×3), 118 (×3), 136 (×2), 112 (×2), 96 (×2), 130 (×2), 132 (×2), 148 (×2), 64 (×2), 108 (×2), 74 (×2), 84 (×2), 34 (×2), 72 (×2), 140 (×2), 122 (×1), 126 (×1), 52 (×1), 6 (×1), 116 (×1), 73 (×1), 114 (×1), 90 (×1), 76 (×1), 70 (×1), 48 (×1), 88 (×1), 54 (×1), 146 (×1), 180 (×1), 135 (×1), 138 (×1), 142 (×1), 28 (×1), 152 (×1), 82 (×1), 46 (×1), 38 (×1), 144 (×1), 44 (×1), 104 (×1)
Sampling rate (Hz)	1000 (×106)
Total duration (h)	41.8
Size on disk	32.6 GB
Recording type	IEEG
Experimental modality	Sleep
Paradigm type	Sleep
Population	Unknown
Source	openneuro
License	CC0

Links

• DOI: 10.18112/openneuro.ds007119.v1.0.0
• OpenNeuro: ds007119
• 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.