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on003810 NEMAR · OpenNeuro mirror

Motor Imagery vs Rest - Low-Cost EEG System

Imported from OpenNeuro ds003810

Download zip Issues GitHub OpenNeuro ds003810

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/on003810), 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 on003810
cd on003810 && nemar dataset get
  3. Just the files.

    rclone, aria2c, or any HTTPS client works against data.nemar.org/on003810/ — 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.on003810

NEMAR-curated copy of OpenNeuro ds003810

This is the NEMAR-curated copy. We pull from OpenNeuro periodically; each pull is a major version bump (vN.0.0). Versions between pulls (vN.x.y) are NEMAR-side fixes and improvements.

NEMAR DOI
on003810 10.82901/nemar.on003810
OpenNeuro DOI
unknown
View original on OpenNeuro View as-imported mirror (v1.0.0)

![DOI](https://doi.org/10.82901/nemar.on003810)

This dataset consists of electroencephalography (EEG) signals adquired with a low-cost consumer-grade device. The 10 participants had no previous BCI experience. The BCI protocol consisted of two conditions, namely the kinesthetic imagination of grasping movement (MI) of the dominant hand and rest/idle condition.Five protocol runs were asked to be performed by the user. The first run, called RUN0, involved real grasping movement in order to better explain the protocol and to help the subject to focus on the sensation of making the movement. The rest of the runs (RUN1-RUN4) were equal, consisting of MI vs.Rest conditions. The EMG signals of the dominant hand was adquired for protocol control. During acquisition, the EEG signals were filtered between 0.5 and 45 Hz with a 3rd order Butterworth bandpass-filter.

Files

15 top-level entries · 69.3 MB total