nm000311 NEMAR-native dataset

Multimodal upper-limb MI/ME EEG (Jeong et al. 2020)

A multimodal EEG dataset comprising motor imagery and motor execution data from 25 healthy subjects performing 11 intuitive upper-limb movement tasks (6 reaching, 3 grasping, 2 wrist twisting) across 3 sessions. The dataset includes 71-channel EEG recordings (60 EEG, 4 EOG, 7 EMG channels) sampled at 1000 Hz with synchronized behavioral annotations, designed for brain-computer interface research and motor control applications. This is a BIDS-formatted derivative dataset converted from the original Jeong et al. 2020 publication using MOABB (Mother of All BCI Benchmarks).

EEG
Issues GitHub

Download this dataset

dataset 325.7 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 nm000311
  2. DataLad

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

    datalad clone https://github.com/nemarDatasets/nm000311 nm000311
cd nm000311 && datalad get .
  3. git-annex

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

    git clone https://github.com/nemarDatasets/nm000311 nm000311
cd nm000311 && 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/nm000311/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/nm000311), 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 nm000311
cd nm000311 && nemar dataset get
  3. Just the files.

    rclone, aria2c, or any HTTPS client works against data.nemar.org/nm000311/ — 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
    25
    Size
    326 GB
    Tasks
    imagery

    License and terms

    License
    CC0-1.0
    Recommended citation
    Jeong, J., Cho, J., Shim, K., Kwon, B., Lee, B., Lee, D., Lee, D., & Lee, S. (2026). Multimodal upper-limb MI/ME EEG (Jeong et al. 2020) (Version v1.0.2) [Data set]. NEMAR. https://doi.org/10.82901/nemar.nm000311

    Where the bytes are

    Latest version (always current)
    https://data.nemar.org/nm000311/latest/
    This version (v1.0.2)
    https://data.nemar.org/nm000311/v1.0.2/

    How to download

    The dataset
    nemar dataset download nm000311 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 nm000311 --subjects sub-01,02 Also filters by --sessions, --tasks, --runs, --datatypes, --include and --exclude.
    A subset, step 1
    nemar dataset clone nm000311 Clones git-annex pointers only; fetches no file content. Creates ./nm000311.
    A subset, step 2
    cd nm000311 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/nm000311/v1.0.2/participants.tsv A direct HTTPS fetch works for any single file.

    Assess fit without downloading

    Participants table
    https://data.nemar.org/nm000311/v1.0.2/participants.tsv
    Dataset description
    https://data.nemar.org/nm000311/v1.0.2/dataset_description.json
    Directory listing
    https://data.nemar.org/nm000311/v1.0.2/?format=json
    Catalog record
    https://api.nemar.org/datasets/nm000311