on007222
NEMAR copy of ds007222

Visual Occlusions with Treadmill Walking Speeds EEG

This dataset comprises high-density EEG recordings from 15 healthy young adults during treadmill walking at multiple speeds (0.0–1.6 m/s) with intermittent visual occlusions induced by liquid crystal lens goggles. The study investigates neurophysiological responses to visual processing disruptions during gait by measuring electrocortical alpha synchronization. Concurrent recordings include EMG, ground reaction forces, and inertial measurement unit data to characterize the sensorimotor context of visual processing during locomotion. NOTE: This dataset represents a subset of a larger protocol containing 13 additional conditions. Some participants have incomplete or missing Loadsol insole sensor data (sub-05, sub-06, sub-07) and IMU data (sub-02, sub-04, sub-06, sub-12). One participant (sub-01) is missing part of the noise sensor array.

EEG
Issues GitHub OpenNeuro ds007222

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) — 1.2 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 on007222
  3. DataLad

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

    datalad clone https://github.com/nemarDatasets/on007222 on007222
cd on007222 && datalad get .
  4. git-annex

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

    git clone https://github.com/nemarDatasets/on007222 on007222
cd on007222 && 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/on007222/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/on007222), 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 on007222
cd on007222 && nemar dataset get
  3. Just the files.

    rclone, aria2c, or any HTTPS client works against data.nemar.org/on007222/ — 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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