on007406
NEMAR copy of ds007406

EEG dataset on consumer responses to extreme versus traditional marketing videos

This dataset contains EEG recordings from ten participants exposed to six marketing video stimuli from three companies (Red Bull, GoPro, and Columbia Sportswear). Videos were categorized as either traditional product-focused advertisements or extreme, authentic documentary-style content, enabling investigation of consumer neural responses to different marketing strategies. The dataset supports research in neuromarketing and consumer neuroscience.

AI-generated description, may include mistakes
Issues GitHub OpenNeuro ds007406

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) — 0.0 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 on007406
  3. DataLad

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

    datalad clone https://github.com/nemarDatasets/on007406 on007406
    cd on007406 && datalad get .
  4. git-annex

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

    git clone https://github.com/nemarDatasets/on007406 on007406
    cd on007406 && 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/on007406/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/on007406), 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 on007406
    cd on007406 && nemar dataset get
  3. Just the files.

    rclone, aria2c, or any HTTPS client works against data.nemar.org/on007406/ — 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
    10
    Size
    25.8 MB
    Tasks
    extremeversustraditionalvideos
    HED version
    8.1.0

    License and terms

    License
    CC0
    Recommended citation
    Edit, A., & Pohlmann, A. (2026). EEG dataset on consumer responses to extreme versus traditional marketing videos (Version v1.0.0) [Data set]. NEMAR. https://doi.org/10.82901/nemar.on007406

    Where the bytes are

    Latest version (always current)
    https://data.nemar.org/on007406/latest/

    How to download

    The dataset
    nemar dataset download on007406 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 on007406 --subjects sub-01,02 Also filters by --sessions, --tasks, --runs, --datatypes, --include and --exclude.
    A subset, step 1
    nemar dataset clone on007406 Clones git-annex pointers only; fetches no file content. Creates ./on007406.
    A subset, step 2
    cd on007406 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/on007406/v1.0.0/participants.tsv A direct HTTPS fetch works for any single file.