nm000120 NEMAR-native dataset

Oikonomou2016 – SSVEP MAMEM 2 dataset

A 256-channel EEG dataset from 11 healthy subjects performing a steady-state visually evoked potential (SSVEP) brain-computer interface task. Subjects focused attention on flickering visual stimuli at five different frequencies (6.66, 7.50, 8.57, 10.00, 12.00 Hz) to select commands. The dataset includes raw EEG signals sampled at 250 Hz with comprehensive annotations and was used to systematically evaluate signal processing algorithms for SSVEP-based BCIs, achieving 74.42% classification accuracy with optimized parameters.

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/nm000120), 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 nm000120
cd nm000120 && nemar dataset get
  3. Just the files.

    rclone, aria2c, or any HTTPS client works against data.nemar.org/nm000120/ — 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.nm000120

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Files

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