on008257
NEMAR copy of ds008257

EEG Moments Dataset (EMD)

The EEG Moments Dataset (EMD) provides EEG responses from 6 human subjects to 1,102 naturalistic 3-second videos with audio, serving as the EEG companion to the BOLD Moments Dataset (BMD) fMRI dataset. Each subject viewed a 1,000-video training set 6 times and a 102-video testing set 24 times, with concurrent eye-tracking (gaze and pupil size) recorded during central fixation. Videos are annotated with object, scene, and action labels, textual descriptions, spoken transcriptions, and memorability scores, enabling multimodal analyses of visual and auditory naturalistic event processing.

AI-generated description, may include mistakes
Issues GitHub OpenNeuro ds008257

Download this dataset

dataset 209.7 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 on008257
  2. DataLad

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

    datalad clone https://github.com/nemarDatasets/on008257 on008257
    cd on008257 && datalad get .
  3. git-annex

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

    git clone https://github.com/nemarDatasets/on008257 on008257
    cd on008257 && 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/on008257/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/on008257), 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 on008257
    cd on008257 && nemar dataset get
  3. Just the files.

    rclone, aria2c, or any HTTPS client works against data.nemar.org/on008257/ — 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
    6
    Size
    210 GB
    Tasks
    video

    License and terms

    License
    CC0
    Recommended citation
    Gifford, A. T., Oyarzo, P., Zonneveld, A. W., Sartzetaki, C., Groen, I. I., & Cichy, R. M. (2026). EEG Moments Dataset (EMD) (Version v1.0.0) [Data set]. NEMAR. https://doi.org/10.82901/nemar.on008257

    Where the bytes are

    Latest version (always current)
    https://data.nemar.org/on008257/latest/

    How to download

    The dataset
    nemar dataset download on008257 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 on008257 --subjects sub-01,02 Also filters by --sessions, --tasks, --runs, --datatypes, --include and --exclude.
    A subset, step 1
    nemar dataset clone on008257 Clones git-annex pointers only; fetches no file content. Creates ./on008257.
    A subset, step 2
    cd on008257 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/on008257/v1.0.0/participants.tsv A direct HTTPS fetch works for any single file.