on007605
NEMAR copy of ds007605

EPOC

EEG dataset investigating neurophysiological correlates of Post-COVID-19 condition in adults recruited from the COVIDOM/NAPKON-POP cohort in Schleswig-Holstein. Participants (N = 98) with prior PCR-confirmed SARS-CoV-2 infection completed a battery of computerized cognitive tasks, including a psychomotor vigilance task, and a resting-state recording. Questionnaires on fatigue, anxiety, depression and sleep quality are included, and participants are grouped by presence or absence of self-reported cognitive symptoms. EEG recordings are missing for 3 participants (missing or corrupted files, or incomplete sessions).

AI-generated description, may include mistakes
Issues GitHub OpenNeuro ds007605

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) — 19.7 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 on007605
  3. DataLad

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

    datalad clone https://github.com/nemarDatasets/on007605 on007605
    cd on007605 && datalad get .
  4. git-annex

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

    git clone https://github.com/nemarDatasets/on007605 on007605
    cd on007605 && 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/on007605/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/on007605), 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 on007605
    cd on007605 && nemar dataset get
  3. Just the files.

    rclone, aria2c, or any HTTPS client works against data.nemar.org/on007605/ — 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
    97
    Size
    21.7 GB
    Tasks
    pvt

    License and terms

    License
    CC0
    Recommended citation
    Neumann", [., Geritz", "., Keil", "., Maetzler", "., & Welzel"], ". (2026). EPOC (Version v1.0.0) [Data set]. NEMAR. https://doi.org/10.82901/nemar.on007605

    Where the bytes are

    Latest version (always current)
    https://data.nemar.org/on007605/latest/

    How to download

    The dataset
    nemar dataset download on007605 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 on007605 --subjects sub-01,02 Also filters by --sessions, --tasks, --runs, --datatypes, --include and --exclude.
    A subset, step 1
    nemar dataset clone on007605 Clones git-annex pointers only; fetches no file content. Creates ./on007605.
    A subset, step 2
    cd on007605 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/on007605/v1.0.0/participants.tsv A direct HTTPS fetch works for any single file.