on007753
NEMAR copy of ds007753

BCCWJ-EEG

This dataset comprises EEG recordings from 41 Japanese native speakers reading newspaper articles from the Balanced Corpus of Contemporary Written Japanese (BCCWJ) presented word-by-word. Part of the BCCWJ-Brain collection, it enables cross-modality comparisons of language processing by providing high temporal resolution electrophysiological data acquired alongside fMRI and MEG from separate participant groups using identical stimuli. The dataset includes both raw and preprocessed data: raw data converted to FIF format, bandpass-filtered data (0.1–40 Hz), and fully preprocessed derivatives with ICA-cleaned, re-referenced, epoched, and downsampled signals suitable for event-related potential analyses.

EEG
Issues GitHub OpenNeuro ds007753

Download this dataset

Pick a method. Large datasets skip the zip and use the streaming methods below — all resumable. Full download guide →

  1. Download archive (.zip) — 70.2 GB

    A single zip of the published version. Best for small/medium datasets.

    Download zip

  2. NEMAR CLI recommended

    Pulls the pinned version + annexed data and resumes cleanly. Install nemar-cli → 

    nemar dataset download on007753
  3. DataLad

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

    datalad clone https://github.com/nemarDatasets/on007753 on007753
cd on007753 && datalad get .
  4. git-annex

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

    git clone https://github.com/nemarDatasets/on007753 on007753
cd on007753 && git annex get .
  5. 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/on007753/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/on007753), 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 on007753
cd on007753 && nemar dataset get
  3. Just the files.

    rclone, aria2c, or any HTTPS client works against data.nemar.org/on007753/ — 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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