nm000119 NEMAR-native dataset

Oikonomou2016 – SSVEP MAMEM 1 dataset

A 256-channel EEG dataset from 11 healthy subjects performing a steady-state visually evoked potential (SSVEP) brain-computer interface task. Subjects attended to a single flickering visual stimulus at five frequencies (6.66, 7.50, 8.57, 10.00, and 12.00 Hz) presented sequentially. The dataset comprises 1,104 trials acquired at 250 Hz sampling rate and is accompanied by a comprehensive comparative evaluation of signal processing algorithms and classifiers for SSVEP-based BCI applications.

EEG
Download zip Issues GitHub

Compute on this dataset

Two routes today, with a third (in-browser one-click submission) landing soon.

  1. NeuroScience Gateway (NSG) portal.

    NSG runs EEGLAB / Brainstorm / MNE pipelines on supercomputing time donated by SDSC. Create an account, point a job at this dataset's S3 prefix (s3://nemar/nm000119), and submit.
    nsgportal.org →

  2. Local processing with nemar-cli.

    Pull the dataset to your machine and run any toolbox locally. Honors the published version pinning. 

    npm install -g nemar-cli
nemar dataset clone nm000119
cd nm000119 && nemar dataset get
  3. Just the files.

    rclone, aria2c, or any HTTPS client works against data.nemar.org/nm000119/ — the manifest carries presigned S3 URLs.

Direct compute access is coming soon. One-click NSG submission from this page is scoped for a follow-up phase. Tracked on nemarOrg/website#6.
DOI 10.82901/nemar.nm000119

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Files

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