Datasets:

EEGDash
/

ds007473

pretty_name: High-Density Diffuse Optical Tomography Audiovisual Movie Viewing Dataset
license: cc0-1.0
tags:
  - eeg
  - neuroscience
  - eegdash
  - brain-computer-interface
  - pytorch
  - multisensory
  - perception
size_categories:
  - n<1K
task_categories:
  - other

High-Density Diffuse Optical Tomography Audiovisual Movie Viewing Dataset

Dataset ID: ds007473

Fogarty2026_High

Canonical aliases: Tripathy2024

At a glance: FNIRS · Multisensory perception · healthy · 5 subjects · 189 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="ds007473", 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 Tripathy2024
ds = Tripathy2024(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/ds007473")

Dataset metadata


Subjects	5
Recordings	189
Tasks (count)	19
Channels	6782 (×71), 6928 (×43), 6880 (×38), 6750 (×31), 7030 (×6)
Sampling rate (Hz)	10.41666666666667 (×189)
Total duration (h)	51.1
Size on disk	36.3 GB
Recording type	FNIRS
Experimental modality	Multisensory
Paradigm type	Perception
Population	Healthy
Source	openneuro
License	CC0

High-Density Diffuse Optical Tomography Audiovisual Movie Viewing Dataset

Load this dataset

Dataset metadata

Links