on006563
NEMAR copy of ds006563

Dimension-based attention modulates early visual processing

This dataset comprises continuous EEG recordings from 12 subjects during a visual attention task, originally published by Gramann et al. (2010) to investigate dimension-based attention modulation of early visual processing. The dataset includes 64-channel scalp EEG data with pre-computed ICA decomposition and expert-annotated independent component labels, providing a resource for studying automatic component classification and visual attention mechanisms. The original data was subsequently used by Frølich et al. (2015) to investigate automatic labeling of independent components in ICA. Data was converted to BIDS format by Austin J. Brockmeier and Carlos H. Mendoza-Cardenas with permission from Klaus Gramann, following a data copy provided by Laura Frølich.

EEG
Issues GitHub OpenNeuro ds006563

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) — 5.5 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 on006563
  3. DataLad

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

    datalad clone https://github.com/nemarDatasets/on006563 on006563
cd on006563 && datalad get .
  4. git-annex

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

    git clone https://github.com/nemarDatasets/on006563 on006563
cd on006563 && 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/on006563/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/on006563), 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 on006563
cd on006563 && nemar dataset get
  3. Just the files.

    rclone, aria2c, or any HTTPS client works against data.nemar.org/on006563/ — 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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