on006720
NEMAR copy of ds006720

Alpha power indexes working memory load for durations

This dataset contains anonymized raw magnetoencephalography (MEG) recordings from 23 healthy adult participants performing an n-item delayed temporal reproduction task, designed to probe working memory for temporal durations. Alongside task MEG data, the dataset includes EOG and ECG recordings, digitized sensor and fiducial coordinates, a resting-state MEG recording, and individual high-resolution structural MRI scans for source reconstruction. The data support research on neural dynamics underlying working memory, auditory processing, and motor responses in the healthy adult brain.

AI-generated description, may include mistakes
ANAT MEG
Issues GitHub OpenNeuro ds006720

Download this dataset

dataset 136.5 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 on006720
  2. DataLad

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

    datalad clone https://github.com/nemarDatasets/on006720 on006720
    cd on006720 && datalad get .
  3. git-annex

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

    git clone https://github.com/nemarDatasets/on006720 on006720
    cd on006720 && 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/on006720/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/on006720), 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 on006720
    cd on006720 && nemar dataset get
  3. Just the files.

    rclone, aria2c, or any HTTPS client works against data.nemar.org/on006720/ — 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, MEG
    Participants
    24
    Size
    136 GB
    Tasks
    noise, rest, tiwm

    License and terms

    License
    CC0
    Recommended citation
    [1], S. K. H., [1], I. M., [2], C. S., [2], R. H., Tadeusz Kononowicz [1, 3. 4., [2], A. G., [1], V. V. W., & [1] Cognitive Neuroimaging Unit, I. C. U. P. N. 9. G. F. [. I. C. U. P. P. F. [. I. O. P. T. P. A. O. S. U. J. 1. 0. W. P. [. I. N. -. U. C. U. P. (2026). Alpha power indexes working memory load for durations (Version v1.0.0) [Data set]. NEMAR. https://doi.org/10.82901/nemar.on006720

    Where the bytes are

    Latest version (always current)
    https://data.nemar.org/on006720/latest/

    How to download

    The dataset
    nemar dataset download on006720 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 on006720 --subjects sub-01,02 Also filters by --sessions, --tasks, --runs, --datatypes, --include and --exclude.
    A subset, step 1
    nemar dataset clone on006720 Clones git-annex pointers only; fetches no file content. Creates ./on006720.
    A subset, step 2
    cd on006720 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/on006720/v1.0.0/participants.tsv A direct HTTPS fetch works for any single file.