EEGDash/ds003568

Mood induction in MDD and healthy adolescents

Dataset ID: ds003568

Liuzzi2021

At a glance: MEG · Visual affect · healthy · 51 subjects · 118 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="ds003568", 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/ds003568")

Dataset metadata

Subjects	51
Recordings	118
Tasks (count)	2
Channels	340 (×48), 339 (×29), 335 (×11), 336 (×6), 342 (×5), 343 (×5), 309 (×3), 338 (×3), 312 (×3), 305 (×2), 348 (×1), 310 (×1), 313 (×1)
Sampling rate (Hz)	1200 (×118)
Total duration (h)	22.5
Size on disk	123.4 GB
Recording type	MEG
Experimental modality	Visual
Paradigm type	Affect
Population	Healthy
Source	openneuro
License	CC0
NEMAR citations	4.0

Links

• DOI: 10.18112/openneuro.ds003568.v1.0.2
• OpenNeuro: ds003568
• 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.