nm000194 NEMAR-native dataset

BNCI 2015-010 RSVP P300 dataset

A brain-computer interface dataset implementing a gaze-independent rapid serial visual presentation (RSVP) P300 speller paradigm. Twelve healthy participants performed mental typewriting tasks using visual attention to discriminate target symbols from non-targets presented sequentially at screen center. The dataset includes preprocessed EEG recordings (63 channels, 200 Hz sampling rate) with event-related potential markers, achieving 94.8% mean accuracy and 1.43 symbols/minute spelling rate.

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/nm000194), 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 nm000194
cd nm000194 && nemar dataset get
  3. Just the files.

    rclone, aria2c, or any HTTPS client works against data.nemar.org/nm000194/ — 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.nm000194

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Files

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