metadata
pretty_name: ball_squeeze_Carlton_2025
license: cc0-1.0
tags:
- eeg
- neuroscience
- eegdash
- brain-computer-interface
- pytorch
- motor
size_categories:
- n<1K
task_categories:
- other
ball_squeeze_Carlton_2025
Dataset ID: ds006673
Carlton2025
At a glance: FNIRS · Motor motor · healthy · 17 subjects · 67 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="ds006673", 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/ds006673")
Dataset metadata
| Subjects | 17 |
| Recordings | 67 |
| Tasks (count) | 2 |
| Channels | 2440 (×52), 1134 (×15) |
| Size on disk | 7.8 GB |
| Recording type | FNIRS |
| Experimental modality | Motor |
| Paradigm type | Motor |
| Population | Healthy |
| Source | openneuro |
| License | CC0 |
Links
- DOI: 10.18112/openneuro.ds006673.v1.0.2
- OpenNeuro: ds006673
- 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.