nm000209 NEMAR-native dataset

Motor imagery + spatial attention dataset from Forenzo & He 2023

This dataset contains 64-channel EEG recordings from 25 healthy human subjects performing a motor imagery brain-computer interface (BCI) task combined with overt spatial attention, across 5 sessions per subject. Participants imagined left- or right-hand movements while receiving continuous cursor feedback, enabling study of integrated motor imagery and spatial attention paradigms for BCI control. The dataset was converted to BIDS format using MOABB from source data originally collected at Carnegie Mellon University.

EEG
Issues GitHub

Download this dataset

dataset 183.9 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 nm000209
  2. DataLad

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

    datalad clone https://github.com/nemarDatasets/nm000209 nm000209
cd nm000209 && datalad get .
  3. git-annex

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

    git clone https://github.com/nemarDatasets/nm000209 nm000209
cd nm000209 && 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/nm000209/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/nm000209), 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 nm000209
cd nm000209 && nemar dataset get
  3. Just the files.

    rclone, aria2c, or any HTTPS client works against data.nemar.org/nm000209/ — 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

    Loading demographics…

    Files

    Loading file index…

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

    What it is

    Modalities
    EEG
    Participants
    25
    Size
    184 GB
    Tasks
    imagery

    License and terms

    License
    CC-BY-4.0
    Recommended citation
    Forenzo, D., Liu, Y., Kim, J., Ding, Y., Yoon, T., & He, B. (2026). Motor imagery + spatial attention dataset from Forenzo & He 2023 (Version v1.0.4) [Data set]. NEMAR. https://doi.org/10.82901/nemar.nm000209
    Reference 1
    https://doi.org/10.21105/joss.01896
    Reference 2
    https://doi.org/10.1038/s41597-019-0104-8

    Where the bytes are

    Latest version (always current)
    https://data.nemar.org/nm000209/latest/
    This version (v1.0.4)
    https://data.nemar.org/nm000209/v1.0.4/

    How to download

    The dataset
    nemar dataset download nm000209 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 nm000209 --subjects sub-01,02 Also filters by --sessions, --tasks, --runs, --datatypes, --include and --exclude.
    A subset, step 1
    nemar dataset clone nm000209 Clones git-annex pointers only; fetches no file content. Creates ./nm000209.
    A subset, step 2
    cd nm000209 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/nm000209/v1.0.4/participants.tsv A direct HTTPS fetch works for any single file.

    Assess fit without downloading

    Participants table
    https://data.nemar.org/nm000209/v1.0.4/participants.tsv
    Dataset description
    https://data.nemar.org/nm000209/v1.0.4/dataset_description.json
    Directory listing
    https://data.nemar.org/nm000209/v1.0.4/?format=json
    Catalog record
    https://api.nemar.org/datasets/nm000209