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ds000246
MEG-BIDS Brainstorm data sample
openneuro
https://openneuro.org/datasets/ds000246
10.18112/openneuro.ds000246.v1.0.1
CC0
{ "library": "eegdash", "class": "EEGDashDataset", "kwargs": { "dataset": "ds000246" } }
https://huggingface.co/spaces/EEGDash/catalog
huggingface-space/scripts/push_metadata_stubs.py

MEG-BIDS Brainstorm data sample

Dataset ID: ds000246

Bock2018

At a glance: MEG · Auditory perception · healthy · 2 subjects · 3 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="ds000246", 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/ds000246")

Dataset metadata

Subjects 2
Recordings 3
Tasks (count) 2
Channels 340 (×2), 301 (×1)
Sampling rate (Hz) 2400 (×3)
Total duration (h) 0.2
Size on disk 2.3 GB
Recording type MEG
Experimental modality Auditory
Paradigm type Perception
Population Healthy
Source openneuro
License CC0
NEMAR citations 1.0

Links


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.

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