EEGDash/ds002001

Rivalry_Tagging

Dataset ID: ds002001

Mendola2019

Canonical aliases: Mendola2020

At a glance: MEG · Visual perception · healthy · 11 subjects · 69 recordings · PD

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="ds002001", 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 Mendola2020
ds = Mendola2020(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/ds002001")

Dataset metadata

Subjects	11
Recordings	69
Tasks (count)	2
Sampling rate (Hz)	2400 (×69)
Size on disk	81.7 GB
Recording type	MEG
Experimental modality	Visual
Paradigm type	Perception
Population	Healthy
Source	openneuro
License	PD
NEMAR citations	3.0

Links

• DOI: 10.18112/openneuro.ds002001.v1.0.0
• OpenNeuro: ds002001
• 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.