nm000320 NEMAR-native dataset

Ortiz2023: Motor imagery during walking with a lower-limb exoskeleton

EEG recordings from 10 healthy participants performing kinesthetic motor imagery of gait while walking on flat ground with a fully assisted lower-limb exoskeleton. Trials alternate motor imagery with relaxation and a regressive-count distractor task, cued by auditory stimuli. Data were recorded with 27 EEG and 4 EOG channels as part of the DECODED EUROBENCH sub-project and re-released in BIDS format via MOABB.

EEG
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) — 2.4 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 nm000320
  3. DataLad

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

    datalad clone https://github.com/nemarDatasets/nm000320 nm000320
cd nm000320 && datalad get .
  4. git-annex

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

    git clone https://github.com/nemarDatasets/nm000320 nm000320
cd nm000320 && 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/nm000320/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/nm000320), 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 nm000320
cd nm000320 && nemar dataset get
  3. Just the files.

    rclone, aria2c, or any HTTPS client works against data.nemar.org/nm000320/ — 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
    10
    Size
    3.78 GB
    Tasks
    imagery
    HED version
    8.4.0

    License and terms

    License
    CC-BY-4.0
    Recommended citation
    Ortiz, M., Ossa, L. D. L., Ianez, E., Torricelli, D., Tornero, J., & Azorin, J. M. (2026). Ortiz2023: Motor imagery during walking with a lower-limb exoskeleton (Version v1.0.0) [Data set]. NEMAR. https://doi.org/10.82901/nemar.nm000320
    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/nm000320/latest/
    This version (v1.0.0)
    https://data.nemar.org/nm000320/v1.0.0/

    How to download

    The dataset
    nemar dataset download nm000320 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 nm000320 --subjects sub-01,02 Also filters by --sessions, --tasks, --runs, --datatypes, --include and --exclude.
    A subset, step 1
    nemar dataset clone nm000320 Clones git-annex pointers only; fetches no file content. Creates ./nm000320.
    A subset, step 2
    cd nm000320 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/nm000320/v1.0.0/participants.tsv A direct HTTPS fetch works for any single file.

    Assess fit without downloading

    Participants table
    https://data.nemar.org/nm000320/v1.0.0/participants.tsv
    Dataset description
    https://data.nemar.org/nm000320/v1.0.0/dataset_description.json
    Directory listing
    https://data.nemar.org/nm000320/v1.0.0/?format=json
    Catalog record
    https://api.nemar.org/datasets/nm000320