EEGDash/ds004100

HUP iEEG Epilepsy Dataset

Dataset ID: ds004100

Bernabei2022

Canonical aliases: HUPiEEG

At a glance: IEEG · Other clinical/intervention · epilepsy · 57 subjects · 319 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="ds004100", 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 HUPiEEG
ds = HUPiEEG(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/ds004100")

Dataset metadata

Subjects	57
Recordings	319
Tasks (count)	2
Channels	122 (×21), 128 (×18), 118 (×17), 172 (×15), 126 (×14), 104 (×13), 82 (×12), 127 (×12), 180 (×12), 96 (×12), 92 (×7), 80 (×7), 190 (×7), 108 (×7), 74 (×7), 121 (×7), 136 (×7), 109 (×7), 117 (×7), 102 (×7), 174 (×7), 149 (×7), 120 (×7), 163 (×6), 98 (×6), 63 (×5), 186 (×5), 162 (×5), 100 (×5), 164 (×5), 88 (×5), 59 (×5), 116 (×5), 52 (×5), 71 (×5), 105 (×4), 90 (×4), 61 (×4), 85 (×3), 94 (×2), 192 (×2), 232 (×1)
Sampling rate (Hz)	512 (×165), 1024 (×78), 500 (×69), 256 (×7)
Total duration (h)	25.7
Size on disk	13.2 GB
Recording type	IEEG
Experimental modality	Other
Paradigm type	Clinical/Intervention
Population	Epilepsy
Source	openneuro
License	CC0
NEMAR citations	21.0

Links

• DOI: 10.18112/openneuro.ds004100.v1.1.3
• OpenNeuro: ds004100
• 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.