nm000107 NEMAR-native dataset

FRL Wrist Control: Wrist Movement Decoding from Surface Electromyography

This dataset comprises wrist-based surface electromyography (sEMG) recordings from 100 participants performing continuous cursor control via wrist flexion and extension movements. Synchronized motion capture provides ground-truth wrist angles, enabling evaluation of sEMG-based decoding of motor intent. The study demonstrates the feasibility of gesture-free, non-invasive neuromotor interfaces for human-computer interaction, with applications to AR/VR navigation and assistive control systems. Note: Raw data contains duplicate timestamps and irregular sampling in many sessions; post-processing includes duplicate removal and resampling to regular 2000 Hz intervals.

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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) — 12.3 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 nm000107
  3. DataLad

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

    datalad clone https://github.com/nemarDatasets/nm000107 nm000107
    cd nm000107 && datalad get .
  4. git-annex

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

    git clone https://github.com/nemarDatasets/nm000107 nm000107
    cd nm000107 && 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/nm000107/v2.0.0/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/nm000107), 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 nm000107
    cd nm000107 && nemar dataset get
  3. Just the files.

    rclone, aria2c, or any HTTPS client works against data.nemar.org/nm000107/ — 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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    Files

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    Signal viewer

    How to use the data (for agentic research) license, citation, download commands

    What it is

    Modalities
    EMG
    Participants
    100
    Size
    24.9 GB
    Tasks
    wrist

    License and terms

    License
    CC-BY-NC 4.0
    Note
    Non-commercial use only (CC-BY-NC 4.0).
    Recommended citation
    Kaifosh, P., Reardon, T. R., & Labs, C. A. R. (2026). FRL Wrist Control: Wrist Movement Decoding from Surface Electromyography (Version v2.0.0) [Data set]. NEMAR. https://doi.org/10.82901/nemar.nm000107

    Where the bytes are

    Latest version (always current)
    https://data.nemar.org/nm000107/latest/

    How to download

    The dataset
    nemar dataset download nm000107 Clones and fetches in one step. Content under stimuli/ and derivatives/ is skipped by default because those trees can be large; add --stimuli --derivatives for the whole thing.
    A subset, one step
    nemar dataset download nm000107 --subjects sub-01,02 Also filters by --sessions, --tasks, --runs, --datatypes, --include and --exclude.
    A subset, step 1
    nemar dataset clone nm000107 Clones git-annex pointers only; fetches no file content. Creates ./nm000107.
    A subset, step 2
    cd nm000107 The get command below reads the clone's annex, so it only works from inside the clone.
    A subset, step 3
    nemar dataset get <files> Pulls the files you actually need. Skips stimuli/ and derivatives/ unless the path you ask for is under one of them.
    One small file
    https://data.nemar.org/nm000107/v2.0.0/participants.tsv A direct HTTPS fetch works for any single file.