nm000121 NEMAR-native dataset

Oikonomou2016 – SSVEP MAMEM 3 dataset

This dataset comprises 14-channel EEG recordings from 11 healthy subjects performing a steady-state visually evoked potential (SSVEP) brain-computer interface task. Subjects attended to flickering visual stimuli presented at five different frequencies (6.66, 7.50, 8.57, 10.00, and 12.00 Hz) while EEG signals were recorded at 128 Hz using an EGI 300 Geodesic EEG System. The dataset includes preprocessed signals with bandpass filtering, artifact removal, and common average referencing, along with comprehensive documentation of signal processing pipelines and comparative evaluation of state-of-the-art BCI algorithms.

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/nm000121), 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 nm000121
cd nm000121 && nemar dataset get
  3. Just the files.

    rclone, aria2c, or any HTTPS client works against data.nemar.org/nm000121/ — 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.nm000121

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Files

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