nm000123 NEMAR-native dataset

Kalunga2016 – SSVEP Exo dataset

This dataset comprises steady-state visually evoked potential (SSVEP) recordings from 12 healthy subjects performing a brain-computer interface task using flickering LED stimuli at three frequencies (13, 17, and 21 Hz). Recorded using 8-channel EEG at 256 Hz with a g.tec MobiLab amplifier, the data was collected during subjects seated in an electric wheelchair as part of an assistive robotics application. The dataset includes 32 trials per subject with four classes (three stimulus frequencies plus a rest condition) and is designed for evaluating Riemannian geometry-based classification methods in online SSVEP-BCI systems.

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/nm000123), 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 nm000123
cd nm000123 && nemar dataset get
  3. Just the files.

    rclone, aria2c, or any HTTPS client works against data.nemar.org/nm000123/ — 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.nm000123

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Files

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