nm000151 NEMAR-native dataset

Motor imagery dataset for three imaginary states of the same upper extremity

This dataset comprises electroencephalographic recordings from 12 healthy subjects performing three motor imagery tasks of the same upper extremity: rest, hand grasping, and elbow flexion. Data were collected across 4 sessions per subject using a 32-channel EEG system sampled at 1000 Hz, with visual cues guiding the imagery tasks. The dataset includes 2,880 trials total and was designed to evaluate time-domain feature extraction and support vector machine classification for brain-computer interface applications. This is a derivative dataset processed from the original Tavakolan et al. (2017) study using the Mother of All BCI Benchmarks (MOABB) pipeline (v1.5.0), which standardized the data format and structure according to BIDS conventions.

EEG
Issues GitHub

Download this dataset

Pick a method. Large datasets skip the zip and use the streaming methods below — all resumable. Full download guide →

  1. Download archive (.zip) — 18.3 GB

    A single zip of the published version. Best for small/medium datasets.

    Download zip

  2. NEMAR CLI recommended

    Pulls the pinned version + annexed data and resumes cleanly. Install nemar-cli → 

    nemar dataset download nm000151
  3. DataLad

    Clone the dataset repo and fetch file content on demand. Docs → 

    datalad clone https://github.com/nemarDatasets/nm000151 nm000151
cd nm000151 && datalad get .
  4. git-annex

    Plain git + git-annex against the dataset repo. Docs → 

    git clone https://github.com/nemarDatasets/nm000151 nm000151
cd nm000151 && git annex get .
  5. Direct files (wget / curl / rclone)

    Every file with a stable, range-resumable URL from the manifest. Needs curl, jq, wget (or rclone/aria2c). Docs → 

    curl -s https://data.nemar.org/nm000151/v1.0.2/manifest.json | jq -r '.[].bytes_url' > urls.txt
wget -xc -i urls.txt

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/nm000151), 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 nm000151
cd nm000151 && nemar dataset get
  3. Just the files.

    rclone, aria2c, or any HTTPS client works against data.nemar.org/nm000151/ — 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.

Citations

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