nm000350 NEMAR-native dataset

Human ECoG speaking consonant-vowel syllables

High-density (256-channel) electrocorticography recorded at UCSF from patients undergoing clinical treatment for epilepsy while they read aloud consonant-vowel syllables from a list. The dataset comprises 31 recording blocks across four subject codes, with hand-marked annotations of syllable identity, onset, consonant-vowel transition and offset, plus rest baseline periods and anatomical electrode labels. It supports study of the functional organization of human ventral sensorimotor cortex during speech articulation and is organized as iEEG-BIDS with source NWB files retained unchanged.

IEEG
Issues GitHub

Download this dataset

dataset 103.5 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 nm000350
  2. DataLad

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

    datalad clone https://github.com/nemarDatasets/nm000350 nm000350
cd nm000350 && datalad get .
  3. git-annex

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

    git clone https://github.com/nemarDatasets/nm000350 nm000350
cd nm000350 && 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/nm000350/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/nm000350), 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 nm000350
cd nm000350 && nemar dataset get
  3. Just the files.

    rclone, aria2c, or any HTTPS client works against data.nemar.org/nm000350/ — 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

    Loading demographics…

    Files

    Loading file index…

    Signal viewer
    How to use the data (for agentic research) license, citation, download commands

    What it is

    Modalities
    IEEG
    Participants
    4
    Size
    104 GB
    Tasks
    syllables

    License and terms

    License
    MIT
    Recommended citation
    Bouchard, K. E., Chang, E. F., & Dichter, B. (2026). Human ECoG speaking consonant-vowel syllables (Version v1.0.0) [Data set]. NEMAR. https://doi.org/10.82901/nemar.nm000350

    Where the bytes are

    Latest version (always current)
    https://data.nemar.org/nm000350/latest/
    This version (v1.0.0)
    https://data.nemar.org/nm000350/v1.0.0/

    How to download

    The dataset
    nemar dataset download nm000350 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 nm000350 --subjects sub-01,02 Also filters by --sessions, --tasks, --runs, --datatypes, --include and --exclude.
    A subset, step 1
    nemar dataset clone nm000350 Clones git-annex pointers only; fetches no file content. Creates ./nm000350.
    A subset, step 2
    cd nm000350 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/nm000350/v1.0.0/participants.tsv A direct HTTPS fetch works for any single file.

    Assess fit without downloading

    Participants table
    https://data.nemar.org/nm000350/v1.0.0/participants.tsv
    Dataset description
    https://data.nemar.org/nm000350/v1.0.0/dataset_description.json
    Directory listing
    https://data.nemar.org/nm000350/v1.0.0/?format=json
    Catalog record
    https://api.nemar.org/datasets/nm000350