on008014
NEMAR copy of ds008014

Not passive sponges: When attention wanes, our brains are less synchronized with the environment

This EEG dataset comprises raw and processed neuroimaging data from a visual statistical learning experiment designed to investigate the relationship between attention and neural synchronization with environmental stimuli. Participants were exposed to three experimental conditions (control, frequency, and temporal pattern), and the dataset includes raw BioSemi recordings along with preprocessed derivatives at multiple processing stages. The study examines how fluctuations in attentional state correlate with changes in brain-environment synchronization during implicit learning tasks.

AI-generated description, may include mistakes
Issues GitHub OpenNeuro ds008014

Download this dataset

dataset 208.8 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 on008014
  2. DataLad

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

    datalad clone https://github.com/nemarDatasets/on008014 on008014
    cd on008014 && datalad get .
  3. git-annex

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

    git clone https://github.com/nemarDatasets/on008014 on008014
    cd on008014 && 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/on008014/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/on008014), 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 on008014
    cd on008014 && nemar dataset get
  3. Just the files.

    rclone, aria2c, or any HTTPS client works against data.nemar.org/on008014/ — 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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