Research
Research
Research
Research
Data Resources
Open data resources accelerate scientific progress. We prioritize reproducible methods, minimal access requirements, and releasing fully-processed data.
In order to better understand mental illnesses as disorders of brain development, Reproducible Brain Charts (RBC; N = 6,346) aggregates several of the largest studies of brain development in youth as a publicly available data resource for the scientific community.
Key measures: sMRI, fMRI, psychiatric phenotyping
# downloads: >6,000 (as of 4/1/2026)
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To advance reproducible research on adolescent white matter development, the ABCD-BIDS Community Collection (ABCC; N > 24k scans from >10k children) provides a large, open resource of fully processed diffusion MRI data across the ABCD Study.
Key measures: dMRI, sMRI
Synthesis of Psychedelic Research Studies (SYPRES) is an open-data living systematic review and meta-analytic resource that synthesizes evidence from randomized controlled trials of psychedelic-assisted therapies. SYPRES currently includes databases for psilocybin for depression (N = 801 across 15 studies) and MDMA for PTSD (N = 286 across 6 studies), with additional reviews on-going.
Key resources: open effect size databases, reproducible analysis code, interactive dashboards
# downloads: > 250 (as of 4/10/2026)
The Penn Affective Instability Study (PAFIN; N = 49) includes detailed measures of sleep, mood variability, and brain development.
Key measures: ME-fMRI, CS-DSI, ASL, EMA, actigraphy, cognitive assessments, self-report scales
In order to promote transdiagnostic research on executive function during development, the Penn Longitudinal Executive functioning in Adolescent Development study (Penn LEAD; N = 132) combines longitudinal multi-modal imaging data with rich clinical and cognitive phenotyping.
Key measures: sMRI, task fMRI, dMRI, ASL, resting-state fMRI, cognitive assessments, self-report scales
The shared neuroimaging data resources provided by AI2D provide centralized access to many of the largest and most commonly used neuroimaging datasets. All datasets are curated, processed, and shared using a standardized workflow that includes widely-used tools developed by AI2D labs.
Key resources: 50+ datasets, 70,000+ participants, 100,000+ MRI sessions