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ds006460
High-DensityvSparsefNIRS_WordColorStroop_HD_Anderson_2025
openneuro
https://openneuro.org/datasets/ds006460
10.18112/openneuro.ds006460.v1.0.0
CC0
{ "library": "eegdash", "class": "EEGDashDataset", "kwargs": { "dataset": "ds006460" } }
https://huggingface.co/spaces/EEGDash/catalog
huggingface-space/scripts/push_metadata_stubs.py

High-DensityvSparsefNIRS_WordColorStroop_HD_Anderson_2025

Dataset ID: ds006460

Anderson2025_HD

At a glance: FNIRS · Visual attention · healthy · 17 subjects · 17 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="ds006460", 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/ds006460")

Dataset metadata

Subjects 17
Recordings 17
Tasks (count) 1
Channels 428 (×17)
Sampling rate (Hz) 17.438616071428573 (×15), 17.438616071428577 (×2)
Size on disk 459.7 MB
Recording type FNIRS
Experimental modality Visual
Paradigm type Attention
Population Healthy
Source openneuro
License CC0

Links


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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