on002893
NEMAR copy of ds002893

Auditory-Visual Shift Study

This dataset comprises scalp EEG recordings from 49 participants (19 younger adults aged 20-40 years and 30 older adults aged 49-73 years) performing an interleaved dual-oddball audio-visual attention task. The study investigates age-related differences in selective attention and sensory processing by examining event-related potentials during three task conditions: focus visual, focus auditory, and attention shift between modalities. Data were collected from 33 EEG channels plus EOG and mastoid reference channels at 250 Hz sampling rate.

EEG
Issues GitHub OpenNeuro ds002893

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) — 2.3 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 on002893
  3. DataLad

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

    datalad clone https://github.com/nemarDatasets/on002893 on002893
cd on002893 && datalad get .
  4. git-annex

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

    git clone https://github.com/nemarDatasets/on002893 on002893
cd on002893 && 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/on002893/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/on002893), 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 on002893
cd on002893 && nemar dataset get
  3. Just the files.

    rclone, aria2c, or any HTTPS client works against data.nemar.org/on002893/ — 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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    Signal viewer
    How to use the data (for agentic research) license, citation, download commands

    What it is

    Modalities
    EEG
    Participants
    49
    Size
    7.70 GB
    Tasks
    AuditoryVisualShift
    HED version
    8.0.0

    License and terms

    License
    CC0
    Recommended citation
    Marissa Westerfield (data, C., Scott Makeig (data, C., (curation), D. T., (curation), K. R., & (curation), A. D. (2026). Auditory-Visual Shift Study (Version v1.0.0) [Data set]. NEMAR. https://doi.org/10.82901/nemar.on002893

    Where the bytes are

    Latest version (always current)
    https://data.nemar.org/on002893/latest/
    This version (v1.0.0)
    https://data.nemar.org/on002893/v1.0.0/

    How to download

    The dataset
    nemar dataset download on002893 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 on002893 --subjects sub-01,02 Also filters by --sessions, --tasks, --runs, --datatypes, --include and --exclude.
    A subset, step 1
    nemar dataset clone on002893 Clones git-annex pointers only; fetches no file content. Creates ./on002893.
    A subset, step 2
    cd on002893 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/on002893/v1.0.0/participants.tsv A direct HTTPS fetch works for any single file.

    Assess fit without downloading

    Participants table
    https://data.nemar.org/on002893/v1.0.0/participants.tsv
    Dataset description
    https://data.nemar.org/on002893/v1.0.0/dataset_description.json
    Directory listing
    https://data.nemar.org/on002893/v1.0.0/?format=json
    Catalog record
    https://api.nemar.org/datasets/on002893