nm000473 NEMAR-native dataset

Qin2023 action observation ECoG: re-referenced region-of-interest electrocorticography during observation of predictable and unpredictable action movies

Continuous electrocorticography (ECoG) from 10 epilepsy patients (8.70 h total, 1000 Hz) recorded while they watched movies of sequential actions with predictable and unpredictable camera changes. The derivative release contains re-referenced region-of-interest channels converted to BrainVision format, with camera-change events, ACPC and MNI electrode positions, and the stimulus movies and annotations. It supports analysis of predictive coding and information flow in beta and gamma activity during action observation.

IEEG
Issues GitHub

Download this dataset

Pick a method. Large datasets skip the zip; resume support depends on each file's storage type. Full download guide →

  1. Download archive (.zip) — 9.2 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 nm000473
  3. DataLad

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

    datalad clone https://github.com/nemarDatasets/nm000473 nm000473
cd nm000473 && datalad get .
  4. git-annex

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

    git clone https://github.com/nemarDatasets/nm000473 nm000473
cd nm000473 && git annex get .
  5. Direct files (wget / curl / rclone)

    Every file is listed by its stable manifest URL. Single-range requests and resume are currently supported for annex-backed entries; git-tracked files are served as full bodies. Real chunk-only byte delivery still awaits isolated, non-synthetic acceptance. Needs curl, jq, wget (or rclone/aria2c). Docs → 

    curl -s https://data.nemar.org/nm000473/v1.0.0/manifest.json | jq -r '.[].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/nm000473), 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 nm000473
cd nm000473 && nemar dataset get
  3. Just the files.

    rclone, aria2c, or any HTTPS client works against data.nemar.org/nm000473/ — the manifest carries stable data-plane file URLs. Single-range requests are supported for annex-backed entries; git-tracked files are served as full bodies. Real chunk-only byte delivery remains under isolated acceptance.

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
    10
    Size
    11.2 GB
    Tasks
    actionobservation

    License and terms

    License
    CC-BY-4.0
    Recommended citation
    Qin, C., Michon, F., Onuki, Y., Ishishita, Y., Otani, K., Kawai, K., Fries, P., Gazzola, V., & Keysers, C. (2026). Qin2023 action observation ECoG: re-referenced region-of-interest electrocorticography during observation of predictable and unpredictable action movies (Version v1.0.0) [Data set]. NEMAR. https://doi.org/10.82901/nemar.nm000473
    Reference
    https://doi.org/10.1101/2022.12.13.519734

    Where the bytes are

    Latest version (always current)
    https://data.nemar.org/nm000473/latest/
    This version (v1.0.0)
    https://data.nemar.org/nm000473/v1.0.0/

    How to download

    The dataset
    nemar dataset download nm000473 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 nm000473 --subjects sub-01,02 Also filters by --sessions, --tasks, --runs, --datatypes, --include and --exclude.
    A subset, step 1
    nemar dataset clone nm000473 Clones git-annex pointers only; fetches no file content. Creates ./nm000473.
    A subset, step 2
    cd nm000473 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/nm000473/v1.0.0/participants.tsv A direct HTTPS fetch works for any single file.

    Assess fit without downloading

    Participants table
    https://data.nemar.org/nm000473/v1.0.0/participants.tsv
    Dataset description
    https://data.nemar.org/nm000473/v1.0.0/dataset_description.json
    Directory listing
    https://data.nemar.org/nm000473/v1.0.0/?format=json
    Catalog record
    https://api.nemar.org/datasets/nm000473