dataset_id stringclasses 1
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ds006902 | Profound neuronal differences during Exercise-Induced Hypoalgesia between athletes and non-athletes revealed by functional near-infrared spectroscopy | openneuro | https://openneuro.org/datasets/ds006902 | 10.18112/openneuro.ds006902.v1.1.1 | CC0 | {
"library": "eegdash",
"class": "EEGDashDataset",
"kwargs": {
"dataset": "ds006902"
}
} | https://huggingface.co/spaces/EEGDash/catalog | huggingface-space/scripts/push_metadata_stubs.py |
Profound neuronal differences during Exercise-Induced Hypoalgesia between athletes and non-athletes revealed by functional near-infrared spectroscopy
Dataset ID: ds006902
Geisler2025
At a glance: FNIRS · Motor perception · healthy · 42 subjects · 42 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="ds006902", 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/ds006902")
Dataset metadata
| Subjects | 42 |
| Recordings | 42 |
| Tasks (count) | 1 |
| Channels | 112 (×42) |
| Sampling rate (Hz) | 7.627765064836003 (×42) |
| Total duration (h) | 27.7 |
| Size on disk | 5.5 GB |
| Recording type | FNIRS |
| Experimental modality | Motor |
| Paradigm type | Perception |
| Population | Healthy |
| Source | openneuro |
| License | CC0 |
Links
- DOI: 10.18112/openneuro.ds006902.v1.1.1
- OpenNeuro: ds006902
- 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.
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