on003633
NEMAR copy of ds003633

ForrestGump-MEG

ForrestGump-MEG is a magnetoencephalography dataset recorded from 11 participants while they watched the roughly 2-hour Chinese-dubbed audio-visual movie Forrest Gump. Data were acquired with a 275-channel CTF MEG system and are accompanied by T1-weighted anatomical MRI. Derivatives include preprocessed MEG (bad channel removal, high-pass filtering, ICA artifact removal), fMRIPrep-processed anatomical data, FreeSurfer surfaces, and MEG-MRI coregistration files. The authors acknowledge the studyforrest project (OpenNeuro ds000113) for its contribution.

ANAT MEG
Issues GitHub OpenNeuro ds003633

Download this dataset

dataset 154.6 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 on003633
  2. DataLad

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

    datalad clone https://github.com/nemarDatasets/on003633 on003633
cd on003633 && datalad get .
  3. git-annex

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

    git clone https://github.com/nemarDatasets/on003633 on003633
cd on003633 && 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/on003633/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/on003633), 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 on003633
cd on003633 && nemar dataset get
  3. Just the files.

    rclone, aria2c, or any HTTPS client works against data.nemar.org/on003633/ — 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, MEG
    Participants
    12
    Size
    155 GB
    Tasks
    movie, noise

    License and terms

    License
    CC0
    Recommended citation
    Liu, X., Dai, Y., Xie, H., & Zhen, Z. (2026). ForrestGump-MEG (Version v1.0.0) [Data set]. NEMAR. https://doi.org/10.82901/nemar.on003633

    Where the bytes are

    Latest version (always current)
    https://data.nemar.org/on003633/latest/
    This version (v1.0.0)
    https://data.nemar.org/on003633/v1.0.0/

    How to download

    The dataset
    nemar dataset download on003633 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 on003633 --subjects sub-01,02 Also filters by --sessions, --tasks, --runs, --datatypes, --include and --exclude.
    A subset, step 1
    nemar dataset clone on003633 Clones git-annex pointers only; fetches no file content. Creates ./on003633.
    A subset, step 2
    cd on003633 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/on003633/v1.0.0/participants.tsv A direct HTTPS fetch works for any single file.

    Assess fit without downloading

    Participants table
    https://data.nemar.org/on003633/v1.0.0/participants.tsv
    Dataset description
    https://data.nemar.org/on003633/v1.0.0/dataset_description.json
    Directory listing
    https://data.nemar.org/on003633/v1.0.0/?format=json
    Catalog record
    https://api.nemar.org/datasets/on003633