Research priorities and production-cost drivers in cultivated meat: data and code for a quantitative alignment analysis

This dataset examines whether cultivated-meat research priorities align with modeled production-cost drivers. Data were compiled from research articles and available supplementary materials through screening and numerical extraction, including figure digitization.It contains screening decisions for 603 reports, 395 included reports, 303 quantitative comparisons from 70 reports, and 120,000 Monte Carlo draws. Files include bibliographic records, extraction tables, statistical results, model inputs and outputs, figure source data, and reproducibility code.Research attention concentrates on proliferation, differentiation/maturation, and scaffolds. Cost sensitivity varies by scenario, with differentiation duration and terminal differentiation-stage cell density prominent within specified parameter ranges. Primary pooled effects remain uncertain, with confidence intervals spanning no effect.The data support reproduction and alternative scenario analyses. Comparisons are not necessarily independent. Missing, imputed, and digitized values are flagged. Cost projections depend on assumed parameters, cost boundaries, and product denominators; scenario ranges are not empirical confidence intervals. Assay-to-product wet-mass mappings remain unvalidated.