on007763
NEMAR copy of ds007763

BCCWJ-MEG

This dataset comprises magnetoencephalography (MEG) recordings from 35 Japanese native speakers (13 females, 22 males; mean age 21.7 ± 2.75 years) reading newspaper articles presented word-by-word. Part of the BCCWJ-Brain collection, it enables cross-modality comparisons of language processing by providing high temporal resolution neural data acquired using identical stimuli across MEG, fMRI, and EEG modalities. The dataset includes raw and preprocessed MEG data, anatomical MRI images, and detailed documentation of acquisition and analysis procedures. Note: Stimulus texts from the Balanced Corpus of Contemporary Written Japanese (BCCWJ) are not included due to copyright restrictions; users must register separately with BCCWJ to obtain access to the texts.

ANAT MEG
Issues GitHub OpenNeuro ds007763

Download this dataset

dataset 165.5 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 on007763
  2. DataLad

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

    datalad clone https://github.com/nemarDatasets/on007763 on007763
cd on007763 && datalad get .
  3. git-annex

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

    git clone https://github.com/nemarDatasets/on007763 on007763
cd on007763 && 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/on007763/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/on007763), 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 on007763
cd on007763 && nemar dataset get
  3. Just the files.

    rclone, aria2c, or any HTTPS client works against data.nemar.org/on007763/ — 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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