nm000356 NEMAR-native dataset

Bellier et al. 2023 Pink Floyd music listening ECoG: authors' high-frequency activity (HFA, 70-150 Hz) for 29 patients

A BIDS-packaged derivative dataset of electrocorticography (ECoG) high-frequency activity (HFA, 70-150 Hz) recorded from 29 patients with pharmacoresistant epilepsy while they passively listened to Pink Floyd's 'Another Brick in the Wall, Part 1'. It provides the authors' preprocessed HFA at 100 Hz aligned to the 190.72 s song, together with electrode coordinates in MNI space and flags for noisy or epileptic channels. The raw ECoG recordings and the stimulus audio are not included. The dataset supports studies of music perception and stimulus reconstruction from human auditory cortex.

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 nm000356
  3. DataLad

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

    datalad clone https://github.com/nemarDatasets/nm000356 nm000356
cd nm000356 && datalad get .
  4. git-annex

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

    git clone https://github.com/nemarDatasets/nm000356 nm000356
cd nm000356 && 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/nm000356/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/nm000356), 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 nm000356
cd nm000356 && nemar dataset get
  3. Just the files.

    rclone, aria2c, or any HTTPS client works against data.nemar.org/nm000356/ — 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
    29
    Size
    568 MB
    Tasks
    musiclistening

    License and terms

    License
    CC-BY-4.0
    Recommended citation
    Bellier, L., Llorens, A., Marciano, D., Gunduz, A., Schalk, G., Brunner, P., & Knight, R. T. (2026). Bellier et al. 2023 Pink Floyd music listening ECoG: authors' high-frequency activity (HFA, 70-150 Hz) for 29 patients (Version v1.0.0) [Data set]. NEMAR. https://doi.org/10.82901/nemar.nm000356

    Where the bytes are

    Latest version (always current)
    https://data.nemar.org/nm000356/latest/
    This version (v1.0.0)
    https://data.nemar.org/nm000356/v1.0.0/

    How to download

    The dataset
    nemar dataset download nm000356 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 nm000356 --subjects sub-01,02 Also filters by --sessions, --tasks, --runs, --datatypes, --include and --exclude.
    A subset, step 1
    nemar dataset clone nm000356 Clones git-annex pointers only; fetches no file content. Creates ./nm000356.
    A subset, step 2
    cd nm000356 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/nm000356/v1.0.0/participants.tsv A direct HTTPS fetch works for any single file.

    Assess fit without downloading

    Participants table
    https://data.nemar.org/nm000356/v1.0.0/participants.tsv
    Dataset description
    https://data.nemar.org/nm000356/v1.0.0/dataset_description.json
    Directory listing
    https://data.nemar.org/nm000356/v1.0.0/?format=json
    Catalog record
    https://api.nemar.org/datasets/nm000356