on006040
NEMAR copy of ds006040

Sustained Attention Task (gradCPT) Dataset using simultaneous EEG-fMRI and DTI

This dataset contains simultaneous EEG-fMRI recordings, diffusion-weighted imaging, and behavioral data from 28 healthy adults performing a gradual-onset continuous performance task (gradCPT) that probes sustained attention. Resting-state (eyes open and closed), 15 Hz checkerboard, and imagery tasks are also included. Raw data and preprocessed derivatives are provided.

AI-generated description, may include mistakes
ANAT BEH DWI EEG FUNC
Issues GitHub OpenNeuro ds006040

Download this dataset

dataset 680.2 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 on006040
  2. DataLad

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

    datalad clone https://github.com/nemarDatasets/on006040 on006040
    cd on006040 && datalad get .
  3. git-annex

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

    git clone https://github.com/nemarDatasets/on006040 on006040
    cd on006040 && 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/on006040/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/on006040), 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 on006040
    cd on006040 && nemar dataset get
  3. Just the files.

    rclone, aria2c, or any HTTPS client works against data.nemar.org/on006040/ — 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
    ANAT, BEH, DWI, EEG, FUNC
    Participants
    28
    Size
    680 GB
    Tasks
    CB, CBOFF, CBON, EC, ECOFF, ECON, ECONrun-1, EO, EOOFF, EOON, GRAD, GRADOFF, GRADON, IMAG, IMAGON, IMGRAD, IMGRADON

    License and terms

    License
    CC0
    Recommended citation
    Cha, Y., Lee, Y., Ji, E., Han, S., Min, S., Kim, H., Cho, M., Lee, H. S., Park, Y., & Moon, J. (2026). Sustained Attention Task (gradCPT) Dataset using simultaneous EEG-fMRI and DTI (Version v1.0.0) [Data set]. NEMAR. https://doi.org/10.82901/nemar.on006040

    Where the bytes are

    Latest version (always current)
    https://data.nemar.org/on006040/latest/

    How to download

    The dataset
    nemar dataset download on006040 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 on006040 --subjects sub-01,02 Also filters by --sessions, --tasks, --runs, --datatypes, --include and --exclude.
    A subset, step 1
    nemar dataset clone on006040 Clones git-annex pointers only; fetches no file content. Creates ./on006040.
    A subset, step 2
    cd on006040 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/on006040/v1.0.0/participants.tsv A direct HTTPS fetch works for any single file.