nm000125 NEMAR-native dataset

Lee2021 – SSVEP paradigm of the Mobile BCI dataset

This dataset comprises steady-state visually evoked potential (SSVEP) recordings from 23 healthy participants performing a brain-computer interface (BCI) task during various locomotor states (standing, walking, running). The study employed a three-class visual flickering stimulus paradigm at frequencies of 5.45, 8.57, and 12.0 Hz, with 73-channel EEG recordings sampled at 100 Hz across 4 sessions per subject. This mobile BCI dataset enables investigation of SSVEP-based neural decoding under naturalistic movement conditions.

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/nm000125), 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 nm000125
cd nm000125 && nemar dataset get
  3. Just the files.

    rclone, aria2c, or any HTTPS client works against data.nemar.org/nm000125/ — 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.nm000125

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Files

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