nm000339 NEMAR-native dataset

Stieger et al. 2021 — Continuous sensorimotor rhythm based brain computer interface learning in a large population

A large-scale longitudinal dataset of sensorimotor rhythm-based brain-computer interface (BCI) training in 62 healthy adults. The dataset comprises over 600 hours of EEG recordings across 598 sessions with more than 250,000 trials of motor imagery tasks (left hand, right hand, both hands, and rest). This resource enables investigation of BCI learning dynamics and algorithm development for non-invasive neural control applications.

EEG
Issues GitHub

Download this dataset

dataset 722.5 GB exceeds 100.0 GB archive limit; use direct download. Use one of the streaming methods below — all resumable. Full download guide →

  1. NEMAR CLI recommended

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

    nemar dataset download nm000339
  2. DataLad

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

    datalad clone https://github.com/nemarDatasets/nm000339 nm000339
cd nm000339 && datalad get .
  3. git-annex

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

    git clone https://github.com/nemarDatasets/nm000339 nm000339
cd nm000339 && git annex get .
  4. 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/nm000339/v1.0.4/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/nm000339), 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 nm000339
cd nm000339 && nemar dataset get
  3. Just the files.

    rclone, aria2c, or any HTTPS client works against data.nemar.org/nm000339/ — 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
    62
    Size
    722 GB
    Tasks
    imagery

    License and terms

    License
    CC-BY-NC-4.0
    Note
    Non-commercial use only (CC-BY-NC-4.0).
    Recommended citation
    Stieger, J. R., Engel, S. A., & He, B. (2026). Stieger et al. 2021 — Continuous sensorimotor rhythm based brain computer interface learning in a large population (Version v1.0.4) [Data set]. NEMAR. https://doi.org/10.82901/nemar.nm000339
    Reference 1
    https://doi.org/10.6084/m9.figshare.13123148.v1
    Reference 2
    https://doi.org/10.21105/joss.01896
    Reference 3
    https://doi.org/10.1038/s41597-019-0104-8

    Where the bytes are

    Latest version (always current)
    https://data.nemar.org/nm000339/latest/
    This version (v1.0.4)
    https://data.nemar.org/nm000339/v1.0.4/

    How to download

    The dataset
    nemar dataset download nm000339 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 nm000339 --subjects sub-01,02 Also filters by --sessions, --tasks, --runs, --datatypes, --include and --exclude.
    A subset, step 1
    nemar dataset clone nm000339 Clones git-annex pointers only; fetches no file content. Creates ./nm000339.
    A subset, step 2
    cd nm000339 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/nm000339/v1.0.4/participants.tsv A direct HTTPS fetch works for any single file.

    Assess fit without downloading

    Participants table
    https://data.nemar.org/nm000339/v1.0.4/participants.tsv
    Dataset description
    https://data.nemar.org/nm000339/v1.0.4/dataset_description.json
    Directory listing
    https://data.nemar.org/nm000339/v1.0.4/?format=json
    Catalog record
    https://api.nemar.org/datasets/nm000339