nm000324 NEMAR-native dataset

Thapa2025: Freewill reach-and-grasp motor-execution dataset from Thapa et al. 2025

A multichannel EEG dataset of self-paced (freewill) reach-and-grasp movements recorded from 23 healthy right-handed participants across 49 sessions. On each of 6808 trials the participant freely chose one of four cups, two filled with water and two empty, and decided when to move. Recordings were made at 250 Hz with a 31-channel scalp EEG montage plus EOG and auxiliary channels, to support brain-machine interface research on natural motor execution.

AI-generated description, may include mistakes
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) — 2.1 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 nm000324
  3. DataLad

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

    datalad clone https://github.com/nemarDatasets/nm000324 nm000324
    cd nm000324 && datalad get .
  4. git-annex

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

    git clone https://github.com/nemarDatasets/nm000324 nm000324
    cd nm000324 && 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/nm000324/v1.0.0/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/nm000324), 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 nm000324
    cd nm000324 && nemar dataset get
  3. Just the files.

    rclone, aria2c, or any HTTPS client works against data.nemar.org/nm000324/ — 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
    EEG
    Participants
    23
    Size
    2.53 GB
    Tasks
    imagery, reachingandgrasping
    HED version
    8.4.0

    License and terms

    License
    CC-BY-4.0
    Recommended citation
    Thapa, B. R., Boggess, J., & Bae, J. (2026). Thapa2025: Freewill reach-and-grasp motor-execution dataset from Thapa et al. 2025 (Version v1.0.0) [Data set]. NEMAR. https://doi.org/10.82901/nemar.nm000324

    Where the bytes are

    Latest version (always current)
    https://data.nemar.org/nm000324/latest/

    How to download

    The dataset
    nemar dataset download nm000324 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 nm000324 --subjects sub-01,02 Also filters by --sessions, --tasks, --runs, --datatypes, --include and --exclude.
    A subset, step 1
    nemar dataset clone nm000324 Clones git-annex pointers only; fetches no file content. Creates ./nm000324.
    A subset, step 2
    cd nm000324 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/nm000324/v1.0.0/participants.tsv A direct HTTPS fetch works for any single file.