Datasets:

EEGDash
/

ds006386

pretty_name: PhysioMotion_Artifact
license: cc0-1.0
tags:
  - eeg
  - neuroscience
  - eegdash
  - brain-computer-interface
  - pytorch
  - motor
  - other
size_categories:
  - n<1K
task_categories:
  - other

PhysioMotion_Artifact

Dataset ID: ds006386

Yu2025

Canonical aliases: Yu2019

At a glance: EEG · Motor other · healthy · 30 subjects · 180 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="ds006386", 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 Yu2019
ds = Yu2019(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/ds006386")

Dataset metadata


Subjects	30
Recordings	180
Tasks (count)	1
Channels	59 (×180)
Sampling rate (Hz)	1000 (×180)
Total duration (h)	58.0
Size on disk	23.0 GB
Recording type	EEG
Experimental modality	Motor
Paradigm type	Other
Population	Healthy
Source	openneuro
License	CC0

PhysioMotion_Artifact

Load this dataset

Dataset metadata

Links