metadata
pretty_name: MDD Patients and Healthy Controls EEG Data
license: cc-by-4.0
tags:
- eeg
- neuroscience
- eegdash
- brain-computer-interface
- pytorch
size_categories:
- n<1K
task_categories:
- other
MDD Patients and Healthy Controls EEG Data
Dataset ID: nm000114
Mumtaz2017
At a glance: EEG · 64 subjects · 181 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="nm000114", 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/nm000114")
Dataset metadata
| Subjects | 64 |
| Recordings | 181 |
| Tasks (count) | 3 |
| Channels | 22 (×112), 20 (×69) |
| Sampling rate (Hz) | 256 (×181) |
| Total duration (h) | 20.6 |
| Size on disk | 812.8 MB |
| Recording type | EEG |
| Source | nemar |
| License | CC-BY-4.0 |
Links
- DOI: 10.82901/nemar.nm000114
- NEMAR: nm000114
- 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.