EEGDash/nm000165

MUniverse Grison et al 2025

Dataset ID: nm000165

Grison2025

At a glance: EMG · 1 subjects · 10 recordings · CC0 BY 4.0

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="nm000165", 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/nm000165")

Dataset metadata

Subjects	1
Recordings	10
Tasks (count)	10
Channels	131 (×10)
Sampling rate (Hz)	10240 (×10)
Total duration (h)	0.1
Size on disk	1.3 GB
Recording type	EMG
Source	nemar
License	CC0 BY 4.0

Links

• DOI: https://doi.org/10.7910/DVN/ID1WNQ
• NEMAR: nm000165
• 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.