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ds004362 / README.md
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Metadata stub for ds004362
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metadata
pretty_name: EEG Motor Movement/Imagery Dataset
license: cc0-1.0
tags:
  - eeg
  - neuroscience
  - eegdash
  - brain-computer-interface
  - pytorch
size_categories:
  - 1K<n<10K
task_categories:
  - other

EEG Motor Movement/Imagery Dataset

Dataset ID: ds004362

Schalk2022

Canonical aliases: PhysionetMI · EEGMotorMovementImagery

At a glance: EEG · 109 subjects · 1526 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="ds004362", 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 PhysionetMI
ds = PhysionetMI(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/ds004362")

Dataset metadata

Subjects 109
Recordings 1526
Tasks (count) 1
Channels 64 (×1526)
Sampling rate (Hz) 160 (×1490), 128 (×36)
Total duration (h) 48.5
Size on disk 7.8 GB
Recording type EEG
Source openneuro
License CC0
NEMAR citations 2.0

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.