Dataset for From Schools to Scans: A Neuroeducational Approach to Comorbid Math and Reading Disabilities

This documentation provides clarification of the scope and structure of a de-identified partial source database associated with our original article. The purpose of this addition is to bring our past publicly funded work in alignment with the new Canadian’s Tri-Agency Open Access Policy on Publications (CIHR, NSERC & SSHRC, 2026), thereby, supporting transparent interpretation and reuse of existing source data. Here, we do not introduce newly collected observations or report additional analyses. The supplied IBM SPSS file contains 410 assessment records and 105 variables from the original source database from which the published analytical sample of 360 individuals was selected. It also contains a small-n replication cohort of 50 other individuals with different but comparable measures to the core ones used in the original report. This partial file is not presented as a complete copy of the broader retrospective cohort database including the 585 records mentioned in the original article; the digitization and reposition of all existing data into a complete database is part of a currently planned archival and digitization research program at Carleton University, Ottawa, Canada. The current existing data set identifies digitized partial data from two separate cohorts collected with funding from The Natural Sciences and Engineering Research Council of Canada awarded to Dr. Linda S. Siegel, emerita professor at the University of British Columbia, Vancouver, Canada with Dr. Amedeo D’Angiulli initially as postdoctoral fellow under her supervision, then collaborator at Carleton University. Ethical approval under the research program umbrella inclusion framework of the broader multi-year and multi-cohort study was extended to the collaborators and research assistants by the IREB of the University of British Columbia. The eligibility criteria for the published sample are described in the Sampling subsection of the original article. Reconstructing the published analytical dataset additionally requires identifying the relevant cases and documenting how assessment records were selected or combined. The partial source file alone is not sufficient to reproduce every published result. This addition concerns documentation and availability of existing source data. It does not revise the published analyses, results, or conclusions of the original manuscript. References Grant JG, Siegel LS and D’Angiulli A (2020). From Schools to Scans: A Neuroeducational Approach to Comorbid Math and Reading Disabilities. Frontiers in Public Health 8:469. doi: 10.3389/fpubh.2020.00469. Canadian Institutes of Health Research, Natural Sciences and Engineering Research Council of Canada, & Social Sciences and Humanities Research Council of Canada. (2026). Tri-Agency open access policy on publications. Government of Canada. https://ised-isde.canada.ca/site/science/en/interagency-research-funding/policies-and-guidelines/open-access/tri-agency-open-access-policy-publications-2026