on004718
NEMAR copy of ds004718

Le Petit Prince Hong Kong: Naturalistic fMRI and EEG dataset from older Cantonese speakers

This multimodal neuroimaging dataset comprises task-based and resting-state fMRI, structural MRI, and EEG recordings from 52 healthy older Cantonese speakers (mean age 69 years) listening to naturalistic speech from 'The Little Prince' in Cantonese. The dataset includes comprehensive behavioral assessments, detailed linguistic annotations with time-aligned speech segmentation and prosodic features, and natural language processing-derived predictors. This resource addresses a significant gap in language neuroscience by providing robust neuroimaging data from an underrepresented demographic and non-Indo-European language population.

ANAT EEG FUNC
Issues GitHub OpenNeuro ds004718

Download this dataset

dataset 109.0 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 on004718
  2. DataLad

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

    datalad clone https://github.com/nemarDatasets/on004718 on004718
cd on004718 && datalad get .
  3. git-annex

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

    git clone https://github.com/nemarDatasets/on004718 on004718
cd on004718 && 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/on004718/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/on004718), 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 on004718
cd on004718 && nemar dataset get
  3. Just the files.

    rclone, aria2c, or any HTTPS client works against data.nemar.org/on004718/ — 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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