EEGDash/ds004107

MIND DATA

Dataset ID: ds004107

Weisend2022

Canonical aliases: Weisend2007

At a glance: MEG · Multisensory other · healthy · 9 subjects · 89 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="ds004107", 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 Weisend2007
ds = Weisend2007(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/ds004107")

Dataset metadata

Subjects	9
Recordings	89
Tasks (count)	6
Channels	318 (×84), 317 (×5)
Sampling rate (Hz)	1792.8858642578125 (×57), 1250 (×32)
Total duration (h)	23.1
Size on disk	77.2 GB
Recording type	MEG
Experimental modality	Multisensory
Paradigm type	Other
Population	Healthy
Source	openneuro
License	CC0
NEMAR citations	1.0

Links

• DOI: 10.18112/openneuro.ds004107.v1.0.0
• OpenNeuro: ds004107
• 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.