nm000209 NEMAR-native dataset

Motor imagery + spatial attention dataset from Forenzo & He 2023

This dataset comprises EEG recordings from 25 healthy participants performing motor imagery and spatial attention tasks across five sessions. The study integrates simultaneous motor imagery (left and right hand) with overt spatial attention in an online brain-computer interface paradigm, featuring 64-channel recordings at 1000 Hz with cursor feedback. The dataset includes 1,875 trials collected during motor imagery, overt spatial attention, and combined tasks, providing a comprehensive resource for investigating the interaction between motor imagery and spatial attention in BCI applications. This is a derivative dataset processed and organized according to BIDS standards from the original study data.

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/nm000209), 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 nm000209
cd nm000209 && nemar dataset get
  3. Just the files.

    rclone, aria2c, or any HTTPS client works against data.nemar.org/nm000209/ — 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.nm000209

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Files

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