EEGDash/ds005555

The Bitbrain Open Access Sleep (BOAS) dataset

Dataset ID: ds005555

LopezLarraz2024

Canonical aliases: BOAS

At a glance: EEG · Sleep sleep · healthy · 128 subjects · 256 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="ds005555", 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 BOAS
ds = BOAS(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/ds005555")

Dataset metadata

Subjects	128
Recordings	256
Tasks (count)	1
Channels	9 (×96), 11 (×68), 14 (×25), 16 (×19), 3 (×18), 2 (×16), 8 (×9), 15 (×5)
Sampling rate (Hz)	256 (×256)
Total duration (h)	2,002.6
Size on disk	33.5 GB
Recording type	EEG
Experimental modality	Sleep
Paradigm type	Sleep
Population	Healthy
Source	openneuro
License	CC0
NEMAR citations	0.0

Links

• DOI: 10.18112/openneuro.ds005555.v1.1.1
• OpenNeuro: ds005555
• 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.