metadata
pretty_name: CHB-MIT
license: other
tags:
- eeg
- neuroscience
- eegdash
- brain-computer-interface
- pytorch
size_categories:
- n<1K
task_categories:
- other
CHB-MIT
Dataset ID: nm000110
Connolly2010
Canonical aliases: CHBMIT · CHB_MIT
At a glance: EEG · 24 subjects · 686 recordings · ODC-By-1.0
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="nm000110", 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 CHBMIT
ds = CHBMIT(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/nm000110")
Dataset metadata
| Subjects | 24 |
| Recordings | 686 |
| Tasks (count) | 1 |
| Channels | 23 (×306), 28 (×259), 38 (×39), 22 (×36), 24 (×30), 29 (×14), 25 (×1), 31 (×1) |
| Sampling rate (Hz) | 256 (×686) |
| Total duration (h) | 982.9 |
| Size on disk | 42.6 GB |
| Recording type | EEG |
| Source | nemar |
| License | ODC-By-1.0 |
Links
- DOI: 10.82901/nemar.nm000110
- NEMAR: nm000110
- 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.