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ds004078
A synchronized multimodal neuroimaging dataset to study brain language processing
openneuro
https://openneuro.org/datasets/ds004078
10.18112/openneuro.ds004078.v1.0.4
CC0
{ "library": "eegdash", "class": "EEGDashDataset", "kwargs": { "dataset": "ds004078" } }
https://huggingface.co/spaces/EEGDash/catalog
huggingface-space/scripts/push_metadata_stubs.py

A synchronized multimodal neuroimaging dataset to study brain language processing

Dataset ID: ds004078

Wang2022_StudyBRAIN

At a glance: MEG · Auditory other · healthy · 12 subjects · 720 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="ds004078", 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/ds004078")

Dataset metadata

Subjects 12
Recordings 720
Tasks (count) 1
Channels 328 (×720)
Sampling rate (Hz) 1000 (×720)
Total duration (h) 68.1
Size on disk 631.1 GB
Recording type MEG
Experimental modality Auditory
Paradigm type Other
Population Healthy
Source openneuro
License CC0
NEMAR citations 4.0

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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