metadata
pretty_name: Healthy Brain Network EEG - Not for Commercial Use
license: cc-by-nc-sa-4.0
tags:
- eeg
- neuroscience
- eegdash
- brain-computer-interface
- pytorch
size_categories:
- 1K<n<10K
task_categories:
- other
Healthy Brain Network EEG - Not for Commercial Use
Dataset ID: nm000103
Shirazi2017
Canonical aliases: HealthyBrainNetwork · HBN_EEG_NC · HBN_NoCommercial
At a glance: EEG · 447 subjects · 3522 recordings · CC-BY-NC-SA 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="nm000103", cache_dir="./cache")
print(len(ds), "recordings")
You can also load it by canonical alias — these are registered classes in eegdash.dataset:
from eegdash.dataset import HealthyBrainNetwork
ds = HealthyBrainNetwork(cache_dir="./cache")
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/nm000103")
Dataset metadata
| Subjects | 447 |
| Recordings | 3522 |
| Tasks (count) | 10 |
| Channels | 129 (×3522) |
| Sampling rate (Hz) | 500 (×3522) |
| Total duration (h) | 285.0 |
| Size on disk | 250.3 GB |
| Recording type | EEG |
| Source | nemar |
| License | CC-BY-NC-SA 4.0 |
Links
- DOI: 10.82901/nemar.nm000103
- NEMAR: nm000103
- 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.