EEGDash/ds003104

MNE-somato-data-bids (anonymized)

Dataset ID: ds003104

Parkkonen2020

Canonical aliases: MNESomato · Somato · MNESomatoData

At a glance: MEG · Tactile perception · healthy · 1 subjects · 1 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="ds003104", 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 MNESomato
ds = MNESomato(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/ds003104")

Dataset metadata

Subjects	1
Recordings	1
Tasks (count)	1
Channels	316 (×1)
Sampling rate (Hz)	300.3074951171875 (×1)
Total duration (h)	0.2
Size on disk	333.7 MB
Recording type	MEG
Experimental modality	Tactile
Paradigm type	Perception
Population	Healthy
Source	openneuro
License	CC0
NEMAR citations	0.0

Links

• DOI: 10.18112/openneuro.ds003104.v1.0.1
• OpenNeuro: ds003104
• Browse 700+ datasets: EEGDash catalog
• Docs: https://eegdash.org
• Code: https://github.com/eegdash/EEGDash

---

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.