nm000126 NEMAR-native dataset

Wang2016 – SSVEP Wang 2016 dataset

A benchmark steady-state visual evoked potential (SSVEP) dataset comprising EEG recordings from 34 healthy subjects performing a 40-target brain-computer interface speller task. Subjects viewed flickering visual stimuli at frequencies ranging from 8 to 15.8 Hz with 0.2 Hz resolution, using a joint frequency and phase modulation approach. The dataset includes 64-channel EEG data sampled at 250 Hz with 6 trials per target frequency, providing a comprehensive resource for developing and validating SSVEP-based 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/nm000126), 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 nm000126
cd nm000126 && nemar dataset get
  3. Just the files.

    rclone, aria2c, or any HTTPS client works against data.nemar.org/nm000126/ — 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.nm000126

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Files

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