nm000390 NEMAR-native dataset

Brain criticality predicts individual levels of inter-areal synchronization (Fusca, Siebenhuehner, Wang et al., 2023): SEEG/MEG PLV and DFA (derivative)

This derivative dataset repackages the authors' public Dryad release of phase-synchronization and detrended fluctuation analysis (DFA) results computed from resting-state SEEG (68 drug-resistant focal epilepsy patients) and MEG (52 healthy subjects, 192 sessions). It includes per-patient complex phase-locking value matrices, DFA exponents, and contact masks, along with group-level MEG and simulated hierarchical Kuramoto model data. The data support the finding that brain criticality predicts individual levels of inter-areal synchronization. Raw recordings are not included.

IEEG
Issues GitHub

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) — 0.6 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 nm000390
  3. DataLad

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

    datalad clone https://github.com/nemarDatasets/nm000390 nm000390
cd nm000390 && datalad get .
  4. git-annex

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

    git clone https://github.com/nemarDatasets/nm000390 nm000390
cd nm000390 && 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/nm000390/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/nm000390), 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 nm000390
cd nm000390 && nemar dataset get
  3. Just the files.

    rclone, aria2c, or any HTTPS client works against data.nemar.org/nm000390/ — 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
    IEEG
    Participants
    68
    Size
    3.78 GB
    Tasks
    rest

    License and terms

    License
    CC0-1.0
    Recommended citation
    Siebenhühner, F., Fuscà, M., Wang, S. H., Myrov, V., Arnulfo, G., Nobili, L., Palva, J. M., & Palva, S. (2026). Brain criticality predicts individual levels of inter-areal synchronization (Fusca, Siebenhuehner, Wang et al., 2023): SEEG/MEG PLV and DFA (derivative) (Version v1.0.0) [Data set]. NEMAR. https://doi.org/10.82901/nemar.nm000390
    Reference
    https://doi.org/10.1101/2022.11.24.517800

    Where the bytes are

    Latest version (always current)
    https://data.nemar.org/nm000390/latest/
    This version (v1.0.0)
    https://data.nemar.org/nm000390/v1.0.0/

    How to download

    The dataset
    nemar dataset download nm000390 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 nm000390 --subjects sub-01,02 Also filters by --sessions, --tasks, --runs, --datatypes, --include and --exclude.
    A subset, step 1
    nemar dataset clone nm000390 Clones git-annex pointers only; fetches no file content. Creates ./nm000390.
    A subset, step 2
    cd nm000390 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/nm000390/v1.0.0/participants.tsv A direct HTTPS fetch works for any single file.

    Assess fit without downloading

    Participants table
    https://data.nemar.org/nm000390/v1.0.0/participants.tsv
    Dataset description
    https://data.nemar.org/nm000390/v1.0.0/dataset_description.json
    Directory listing
    https://data.nemar.org/nm000390/v1.0.0/?format=json
    Catalog record
    https://api.nemar.org/datasets/nm000390