on005346
NEMAR copy of ds005346

Naturalistic fMRI and MEG recordings during viewing of a reality TV show

This dataset comprises naturalistic fMRI and MEG recordings from healthy adult participants who viewed an excerpt of a Chinese reality TV show, 'Where Are We Going, Dad?'. Thirty participants underwent fMRI scanning and thirty separate participants underwent MEG scanning using a novel OPM-MEG system, followed by comprehension questions and a resting period to capture spontaneous mental replay of the video. The dataset supports investigations of naturalistic neural processing, inter-subject correlation, and comparison between hemodynamic and neuromagnetic responses to complex audiovisual stimuli.

ANAT FUNC MEG
Issues GitHub OpenNeuro ds005346

Download this dataset

dataset 112.2 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 on005346
  2. DataLad

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

    datalad clone https://github.com/nemarDatasets/on005346 on005346
cd on005346 && datalad get .
  3. git-annex

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

    git clone https://github.com/nemarDatasets/on005346 on005346
cd on005346 && 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/on005346/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/on005346), 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 on005346
cd on005346 && nemar dataset get
  3. Just the files.

    rclone, aria2c, or any HTTPS client works against data.nemar.org/on005346/ — 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, FUNC, MEG
    Participants
    60
    Size
    112 GB
    Tasks
    baba, question, quiz, replay, rest

    License and terms

    License
    CC0
    Recommended citation
    Li, J., Wang, Y., Wang, C., & Ma, Z. (2026). Naturalistic fMRI and MEG recordings during viewing of a reality TV show (Version v1.0.0) [Data set]. NEMAR. https://doi.org/10.82901/nemar.on005346

    Where the bytes are

    Latest version (always current)
    https://data.nemar.org/on005346/latest/
    This version (v1.0.0)
    https://data.nemar.org/on005346/v1.0.0/

    How to download

    The dataset
    nemar dataset download on005346 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 on005346 --subjects sub-01,02 Also filters by --sessions, --tasks, --runs, --datatypes, --include and --exclude.
    A subset, step 1
    nemar dataset clone on005346 Clones git-annex pointers only; fetches no file content. Creates ./on005346.
    A subset, step 2
    cd on005346 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/on005346/v1.0.0/participants.tsv A direct HTTPS fetch works for any single file.

    Assess fit without downloading

    Participants table
    https://data.nemar.org/on005346/v1.0.0/participants.tsv
    Dataset description
    https://data.nemar.org/on005346/v1.0.0/dataset_description.json
    Directory listing
    https://data.nemar.org/on005346/v1.0.0/?format=json
    Catalog record
    https://api.nemar.org/datasets/on005346