nm000197 NEMAR-native dataset

BigP3BCI Study M — 9x8 adaptive/checkerboard (21 ALS subjects)

BigP3BCI Study M is a derivative EEG dataset containing P300-based brain-computer interface recordings from 21 ALS subjects using a 9x8 adaptive/checkerboard visual stimulus paradigm. This dataset is part of the BigP3BCI project, the largest public P300 BCI dataset, and includes 16-channel EEG recordings sampled at 256 Hz with target and non-target event classifications for speller applications.

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/nm000197), 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 nm000197
cd nm000197 && nemar dataset get
  3. Just the files.

    rclone, aria2c, or any HTTPS client works against data.nemar.org/nm000197/ — 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.nm000197

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Files

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