metadata
pretty_name: Mobile EEG split-belt walking study
license: cc0-1.0
tags:
- eeg
- neuroscience
- eegdash
- brain-computer-interface
- pytorch
size_categories:
- n<1K
task_categories:
- other
Mobile EEG split-belt walking study
Dataset ID: ds004475
Jacobsen2023
At a glance: EEG · 30 subjects · 30 recordings · CC0
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="ds004475", 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/ds004475")
Dataset metadata
| Subjects | 30 |
| Recordings | 30 |
| Tasks (count) | 1 |
| Channels | 260 (×5), 250 (×3), 263 (×3), 255 (×3), 257 (×3), 258 (×3), 259 (×2), 256 (×1), 249 (×1), 252 (×1), 265 (×1), 254 (×1), 253 (×1), 261 (×1), 262 (×1) |
| Sampling rate (Hz) | 512 (×30) |
| Total duration (h) | 26.9 |
| Size on disk | 48.5 GB |
| Recording type | EEG |
| Source | openneuro |
| License | CC0 |
| NEMAR citations | 2.0 |
Links
- DOI: 10.18112/openneuro.ds004475.v1.0.3
- OpenNeuro: ds004475
- 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.