on002158
NEMAR copy of ds002158

Disentangling the origins of confidence in speeded perceptual judgments through multimodal imaging

This multimodal neuroimaging dataset investigates the neural mechanisms of metacognition—the ability to assess decision confidence—by isolating postdecisional from decisional contributions. Healthy volunteers performed perceptual judgments and observed decisions while reporting confidence, with concurrent electroencephalography and functional magnetic resonance imaging recordings. The study reveals dissociable neural correlates of confidence in prefrontal regions and proposes a computational model explaining how decision commitment enhances metacognitive performance.

ANAT EEG FMAP FUNC
Issues GitHub OpenNeuro ds002158

Download this dataset

dataset 428.6 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 on002158
  2. DataLad

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

    datalad clone https://github.com/nemarDatasets/on002158 on002158
cd on002158 && datalad get .
  3. git-annex

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

    git clone https://github.com/nemarDatasets/on002158 on002158
cd on002158 && 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/on002158/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/on002158), 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 on002158
cd on002158 && nemar dataset get
  3. Just the files.

    rclone, aria2c, or any HTTPS client works against data.nemar.org/on002158/ — 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
    ANAT, EEG, FMAP, FUNC
    Participants
    20
    Size
    429 GB
    Tasks
    main, rest

    License and terms

    License
    CC0
    Recommended citation
    Pereira, M., Faivre, N., Iturrate, I., Wirthlin, M., Serafini, L., Martin, S., Desvachez, A., Blanke, O., Ville, D. V. D., & Millan, J. D. R. (2026). Disentangling the origins of confidence in speeded perceptual judgments through multimodal imaging (Version v1.0.0) [Data set]. NEMAR. https://doi.org/10.82901/nemar.on002158
    Reference
    https://doi.org/10.1073/pnas.1918335117

    Where the bytes are

    Latest version (always current)
    https://data.nemar.org/on002158/latest/
    This version (v1.0.0)
    https://data.nemar.org/on002158/v1.0.0/

    How to download

    The dataset
    nemar dataset download on002158 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 on002158 --subjects sub-01,02 Also filters by --sessions, --tasks, --runs, --datatypes, --include and --exclude.
    A subset, step 1
    nemar dataset clone on002158 Clones git-annex pointers only; fetches no file content. Creates ./on002158.
    A subset, step 2
    cd on002158 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/on002158/v1.0.0/participants.tsv A direct HTTPS fetch works for any single file.

    Assess fit without downloading

    Participants table
    https://data.nemar.org/on002158/v1.0.0/participants.tsv
    Dataset description
    https://data.nemar.org/on002158/v1.0.0/dataset_description.json
    Directory listing
    https://data.nemar.org/on002158/v1.0.0/?format=json
    Catalog record
    https://api.nemar.org/datasets/on002158