EEGDash/nm000227

Eye-BCI Motor Execution dataset from Guttmann-Flury et al 2025

Dataset ID: nm000227

GuttmannFlury2025_Eye

Canonical aliases: GuttmannFlury2025_ME

At a glance: EEG · Visual motor · healthy · 31 subjects · 63 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="nm000227", 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 GuttmannFlury2025_ME
ds = GuttmannFlury2025_ME(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/nm000227")

Dataset metadata

Subjects	31
Recordings	63
Tasks (count)	1
Channels	66 (×63)
Sampling rate (Hz)	1000 (×63)
Total duration (h)	7.1
Size on disk	4.7 GB
Recording type	EEG
Experimental modality	Visual
Paradigm type	Motor
Population	Healthy
Source	nemar
License	CC0

Links

• NEMAR: nm000227
• Browse 700+ datasets: EEGDash catalog
• Docs: https://eegdash.org
• Code: https://github.com/eegdash/EEGDash

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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.