nm000203 NEMAR-native dataset

P300 dataset from initial spot study

An auditory oddball EEG dataset from 13 healthy subjects designed to optimize stimulus onset asynchrony (SOA) parameters in brain-computer interfaces. Subjects discriminated target (1000 Hz) and non-target (500 Hz) tones while 31-channel EEG was recorded at 1000 Hz. The study evaluated Bayesian optimization and random search strategies for automated selection of individually optimal stimulation parameters to maximize classification performance using regularized linear discriminant analysis.

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/nm000203), 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 nm000203
cd nm000203 && nemar dataset get
  3. Just the files.

    rclone, aria2c, or any HTTPS client works against data.nemar.org/nm000203/ — 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.nm000203

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Files

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