metadata
pretty_name: Mainsah2025-B
license: cc-by-4.0
tags:
- eeg
- neuroscience
- eegdash
- brain-computer-interface
- pytorch
size_categories:
- n<1K
task_categories:
- other
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
- DOI: 10.13026/0byy-ry86
- NEMAR: nm000157
- 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.