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on002578 NEMAR · OpenNeuro mirror

Visual Oddball Task (256 channels)

Imported from OpenNeuro ds002578

Download zip Issues GitHub OpenNeuro ds002578

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/on002578), 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 on002578
cd on002578 && nemar dataset get
  3. Just the files.

    rclone, aria2c, or any HTTPS client works against data.nemar.org/on002578/ — 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.
DOI 10.82901/nemar.on002578

NEMAR-curated copy of OpenNeuro ds002578

This is the NEMAR-curated copy. We pull from OpenNeuro periodically; each pull is a major version bump (vN.0.0). Versions between pulls (vN.x.y) are NEMAR-side fixes and improvements.

NEMAR DOI
on002578 10.82901/nemar.on002578
OpenNeuro DOI
unknown
View original on OpenNeuro View as-imported mirror (v1.0.0)

![DOI](https://doi.org/10.82901/nemar.on002578)

Data for this selective attention task was collected in 2004 at the Swartz Center for Computational Neuroscience at UCSD. These datasets are part of a larger corpus of 32-channel data collected a few years prior. The experiment is identical although the number of channel is larger (256), the electrode positions are scanned and the anatomical MRI is provided (allowing for precise source localization). See publication for more details.

Raw data manipulation before export:

  • Fuse all BDF BIOSEMI files and reference to electrode 135 (see loadallbdf_2020.m)
  • Fuse with presentation file information (see loadallbdf_2020.m)
  • Remove spurious events of type 'condition' and '201' (see clean_events.m)
  • Add HED tags (see addHEDTags.m)
  • Convert MRI to NIFTI format (MRIcron) and reorient (MRIcrogl) (see convert_nifti.m)

Files

5 top-level entries · 1.33 GB total