on006260
NEMAR copy of ds006260

Dataset of psychophysiological data from children with learning difficulties who strengthen reading and math skills through assistive technology

This dataset comprises psychometric and electroencephalographic (EEG) data collected from Mexican children with reading or math learning difficulties, aimed at evaluating the efficacy of the assistive online learning platform Smartick in improving academic skills. Data were collected from 76 subjects across two study groups (reading and math difficulties), each divided into experimental and control subgroups, with EEG and psychometric assessments performed before and after a three-month intervention period. The EEG recordings include resting-state and task-related conditions (reading comprehension or arithmetic problem solving), accompanied by psychometric measures such as reading speed, comprehension, math skills, selective attention, and IQ.

EEG
Issues GitHub OpenNeuro ds006260

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) — 2.6 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 on006260
  3. DataLad

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

    datalad clone https://github.com/nemarDatasets/on006260 on006260
cd on006260 && datalad get .
  4. git-annex

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

    git clone https://github.com/nemarDatasets/on006260 on006260
cd on006260 && 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/on006260/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/on006260), 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 on006260
cd on006260 && nemar dataset get
  3. Just the files.

    rclone, aria2c, or any HTTPS client works against data.nemar.org/on006260/ — 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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