Datasets:

EEGDash
/

ds006902

pretty_name: >-
  Profound neuronal differences during Exercise-Induced Hypoalgesia between
  athletes and non-athletes revealed by functional near-infrared spectroscopy
license: cc0-1.0
tags:
  - eeg
  - neuroscience
  - eegdash
  - brain-computer-interface
  - pytorch
  - motor
  - perception
size_categories:
  - n<1K
task_categories:
  - other

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

Profound neuronal differences during Exercise-Induced Hypoalgesia between athletes and non-athletes revealed by functional near-infrared spectroscopy

Load this dataset

Dataset metadata

Links