Datasets:

EEGDash
/

ds007526

pretty_name: 'PD-EEG: Resting-State & Walking EEG in Parkinson''s Disease'
license: cc0-1.0
tags:
  - eeg
  - neuroscience
  - eegdash
  - brain-computer-interface
  - pytorch
  - motor
  - clinical-intervention
  - parkinson's
size_categories:
  - n<1K
task_categories:
  - other

PD-EEG: Resting-State & Walking EEG in Parkinson's Disease

Dataset ID: ds007526

Katzir2026

Canonical aliases: PD_EEG · PDEEG

At a glance: EEG · Motor clinical/intervention · parkinson's · 144 subjects · 277 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="ds007526", 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 PD_EEG
ds = PD_EEG(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/ds007526")

Dataset metadata


Subjects	144
Recordings	277
Tasks (count)	2
Channels	65 (×277)
Sampling rate (Hz)	250 (×277)
Total duration (h)	19.5
Size on disk	4.3 GB
Recording type	EEG
Experimental modality	Motor
Paradigm type	Clinical/Intervention
Population	Parkinson's
Source	openneuro
License	CC0

PD-EEG: Resting-State & Walking EEG in Parkinson's Disease

Load this dataset

Dataset metadata

Links