on003846
NEMAR copy of ds003846

Prediction Error

EEG and motion-capture dataset from 19 participants performing a haptic interaction task in virtual reality, in which participants touched virtual objects while visual, vibrotactile, and electrical muscle stimulation feedback was varied. Some trials were designed as oddball conflicts to elicit prediction error responses. The recordings support research on the neural correlates of prediction errors and on detecting unrealistic interactions in cyber-physical systems.

EEG MOTION
Issues GitHub OpenNeuro ds003846

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) — 6.2 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 on003846
  3. DataLad

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

    datalad clone https://github.com/nemarDatasets/on003846 on003846
cd on003846 && datalad get .
  4. git-annex

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

    git clone https://github.com/nemarDatasets/on003846 on003846
cd on003846 && 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/on003846/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/on003846), 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 on003846
cd on003846 && nemar dataset get
  3. Just the files.

    rclone, aria2c, or any HTTPS client works against data.nemar.org/on003846/ — 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, MOTION
    Participants
    19
    Size
    11.4 GB
    Tasks
    PredictionError

    License and terms

    License
    CC0
    Recommended citation
    Gehrke, L., Akman, S., Chen, A., Lopes, P., & Gramann, K. (2026). Prediction Error (Version v1.0.0) [Data set]. NEMAR. https://doi.org/10.82901/nemar.on003846
    Reference 1
    https://doi.org/10.1145/3290605.3300657
    Reference 2
    https://doi.org/10.1088/1741-2552/ac69bc

    Where the bytes are

    Latest version (always current)
    https://data.nemar.org/on003846/latest/
    This version (v1.0.0)
    https://data.nemar.org/on003846/v1.0.0/

    How to download

    The dataset
    nemar dataset download on003846 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 on003846 --subjects sub-01,02 Also filters by --sessions, --tasks, --runs, --datatypes, --include and --exclude.
    A subset, step 1
    nemar dataset clone on003846 Clones git-annex pointers only; fetches no file content. Creates ./on003846.
    A subset, step 2
    cd on003846 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/on003846/v1.0.0/participants.tsv A direct HTTPS fetch works for any single file.

    Assess fit without downloading

    Participants table
    https://data.nemar.org/on003846/v1.0.0/participants.tsv
    Dataset description
    https://data.nemar.org/on003846/v1.0.0/dataset_description.json
    Directory listing
    https://data.nemar.org/on003846/v1.0.0/?format=json
    Catalog record
    https://api.nemar.org/datasets/on003846