nm000157 NEMAR-native dataset

BigP3BCI Study B — 6x6 checkerboard, multi-session (19 healthy subjects)

BigP3BCI Study B is a derivative EEG dataset containing P300 brain-computer interface recordings from 19 ALS patients across 8 sessions each, using a 6x6 checkerboard visual speller paradigm. The dataset comprises processed 16-channel EEG data sampled at 256 Hz, annotated with target and non-target event classifications using HED 8.4.0 schema. This derivative dataset was generated using the MOABB framework and is part of the larger BigP3BCI initiative, the largest public P300 BCI dataset with recordings from approximately 267 subjects across multiple studies.

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/nm000157), 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 nm000157
cd nm000157 && nemar dataset get
  3. Just the files.

    rclone, aria2c, or any HTTPS client works against data.nemar.org/nm000157/ — 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.nm000157

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Files

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