EEGDash/ds006036

A complementary dataset of open-eyes EEG recordings in a photo-stimulation setting from: Alzheimer's disease, Frontotemporal dementia and Healthy subjects

Dataset ID: ds006036

Ntetska2025

At a glance: EEG · Visual clinical/intervention · dementia · 88 subjects · 88 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="ds006036", 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/ds006036")

Dataset metadata

Subjects	88
Recordings	88
Tasks (count)	1
Channels	19 (×88)
Sampling rate (Hz)	500 (×88)
Total duration (h)	7.7
Size on disk	1.0 GB
Recording type	EEG
Experimental modality	Visual
Paradigm type	Clinical/Intervention
Population	Dementia
Source	openneuro
License	CC0

Links

• DOI: 10.18112/openneuro.ds006036.v1.0.6
• OpenNeuro: ds006036
• 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.