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nm000157
Mainsah2025-B
nemar
https://openneuro.org/datasets/nm000157
10.13026/0byy-ry86
CC-BY-4.0
{ "library": "eegdash", "class": "EEGDashDataset", "kwargs": { "dataset": "nm000157" } }
https://huggingface.co/spaces/EEGDash/catalog
huggingface-space/scripts/push_metadata_stubs.py

Mainsah2025-B

Dataset ID: nm000157

Mainsah2025

At a glance: EEG · 19 subjects · 544 recordings · CC-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="nm000157", 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/nm000157")

Dataset metadata

Subjects 19
Recordings 544
Tasks (count) 1
Channels 16 (×543)
Sampling rate (Hz) 256.00008099666394 (×205), 256.00004960640416 (×161), 256.00006152923214 (×98), 256 (×42), 256.0000879536484 (×15), 256.00010844590247 (×10), 256.00004522469607 (×3), 256.00012796007644 (×2), 256.00011633064076 (×2), 256.0001184842897 (×2), 256.00007397509813 (×2), 256.00008239793436 (×1)
Total duration (h) 28.7
Size on disk 1.2 GB
Recording type EEG
Source nemar
License CC-BY-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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