EEGDash/ds004212

THINGS-MEG

Dataset ID: ds004212

Hebart2022

Canonical aliases: THINGS_MEG · THINGSMEG

At a glance: MEG · Visual perception · healthy · 5 subjects · 500 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="ds004212", 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 THINGS_MEG
ds = THINGS_MEG(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/ds004212")

Dataset metadata

Subjects	5
Recordings	500
Tasks (count)	1
Channels	310 (×470)
Sampling rate (Hz)	1200 (×470)
Total duration (h)	45.2
Size on disk	237.7 GB
Recording type	MEG
Experimental modality	Visual
Paradigm type	Perception
Population	Healthy
Source	openneuro
License	CC0
NEMAR citations	3.0

Links

• DOI: 10.18112/openneuro.ds004212.v3.0.0
• OpenNeuro: ds004212
• 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.