Datasets:

EEGDash
/

ds005403

pretty_name: Delayed Auditory Feedback EEG/EGG
license: cc0-1.0
tags:
  - eeg
  - neuroscience
  - eegdash
  - brain-computer-interface
  - pytorch
  - auditory
  - motor
size_categories:
  - n<1K
task_categories:
  - other

Delayed Auditory Feedback EEG/EGG

Dataset ID: ds005403

Veillette2024

Canonical aliases: Veillette2019

At a glance: EEG · Auditory motor · healthy · 32 subjects · 32 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="ds005403", 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 Veillette2019
ds = Veillette2019(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/ds005403")

Dataset metadata


Subjects	32
Recordings	32
Tasks (count)	1
Channels	66 (×32)
Sampling rate (Hz)	10000 (×32)
Total duration (h)	13.4
Size on disk	118.5 GB
Recording type	EEG
Experimental modality	Auditory
Paradigm type	Motor
Population	Healthy
Source	openneuro
License	CC0
NEMAR citations	1.0

Delayed Auditory Feedback EEG/EGG

Load this dataset

Dataset metadata

Links