EEGDash/ds007420

A Light Weight Multi-Distance fNIRS Dataset for Ball-Squeezing Task and Purposeful Motion Artifact Creation Task

Dataset ID: ds007420

Gao2026_Light_Weight_Multi

Canonical aliases: Gao2024

At a glance: FNIRS · Motor motor · healthy · 12 subjects · 60 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="ds007420", cache_dir="./cache")
print(len(ds), "recordings")

You can also load it by canonical alias — these are registered classes in eegdash.dataset:

from eegdash.dataset import Gao2024
ds = Gao2024(cache_dir="./cache")

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/ds007420")

Dataset metadata

Subjects	12
Recordings	60
Tasks (count)	4
Channels	200 (×60)
Sampling rate (Hz)	8.719308035714286 (×52), 11.625744047619047 (×4), 8.719308035714288 (×3), 11.625744047619051 (×1)
Size on disk	560.7 MB
Recording type	FNIRS
Experimental modality	Motor
Paradigm type	Motor
Population	Healthy
Source	openneuro
License	CC0

Links

• DOI: 10.18112/openneuro.ds007420.v1.0.2
• OpenNeuro: ds007420
• Browse 700+ datasets: EEGDash catalog
• Docs: https://eegdash.org
• Code: https://github.com/eegdash/EEGDash

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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.