nm000124 NEMAR-native dataset

Han2024 – SSVEP fatigue dataset with two frequency paradigms

A 64-channel EEG dataset from 24 healthy subjects performing steady-state visually evoked potential (SSVEP) brain-computer interface tasks across two frequency paradigms (8.0-15.5 Hz and 25.5-33.0 Hz). The dataset includes training and fatigue-state sessions with 32 visual targets encoded using joint frequency-phase modulation, designed to investigate the effects of mental fatigue on SSVEP-BCI performance and the efficacy of dynamic stopping strategies.

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/nm000124), 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 nm000124
cd nm000124 && nemar dataset get
  3. Just the files.

    rclone, aria2c, or any HTTPS client works against data.nemar.org/nm000124/ — 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.nm000124

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Files

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