on007763
NEMAR copy of ds007763

BCCWJ-MEG

This dataset comprises magnetoencephalography (MEG) recordings from 35 Japanese native speakers who read Japanese newspaper articles word by word, presented via rapid serial visual presentation. It forms part of the BCCWJ-Brain collection, which includes fMRI, MEG, and EEG data from separate participant groups exposed to the same stimuli, enabling cross-modal comparisons of language processing at high spatial and temporal resolution. T1-weighted structural images were also acquired for source localization purposes.

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

    Use this data

    What it is

    Modalities
    ANAT, MEG
    Participants
    35
    Size
    166 GB
    Tasks
    BCCWJreading

    License and terms

    License
    CC0
    Recommended citation
    Sugimoto, Y., Asahara, M., Jeong, H., Kanno, A., Koizumi, M., & Oseki, Y. (2026). BCCWJ-MEG (Version v1.0.0) [Data set]. NEMAR. https://doi.org/10.82901/nemar.on007763
    Reference 1
    https://doi.org/10.1109/77.919433
    Reference 2
    https://doi.org/10.7554/eLife.85012
    Reference 3
    https://doi.org/10.5281/zenodo.3524401
    Reference 4
    https://doi.org/10.3389/fnins.2013.00267
    Reference 5
    https://doi.org/10.1007/s10579-013-9261-0
    Reference 6
    https://doi.org/10.1016/j.jneumeth.2006.11.017
    Reference 7
    https://doi.org/10.3389/neuro.11.010.2008

    Where the bytes are

    Latest version (always current)
    https://data.nemar.org/on007763/latest/
    This version (v1.0.0)
    https://data.nemar.org/on007763/v1.0.0/

    How to download

    The dataset
    nemar dataset download on007763 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 on007763 --subjects sub-01,02 Also filters by --sessions, --tasks, --runs, --datatypes, --include and --exclude.
    A subset, step 1
    nemar dataset clone on007763 Clones git-annex pointers only; fetches no file content. Creates ./on007763.
    A subset, step 2
    cd on007763 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/on007763/v1.0.0/participants.tsv A direct HTTPS fetch works for any single file.

    Assess fit without downloading

    Participants table
    https://data.nemar.org/on007763/v1.0.0/participants.tsv
    Dataset description
    https://data.nemar.org/on007763/v1.0.0/dataset_description.json
    Directory listing
    https://data.nemar.org/on007763/v1.0.0/?format=json
    Catalog record
    https://api.nemar.org/datasets/on007763

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    Files

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    Signal viewer