This dataset contains all the data and code needed to reproduce the model fitting, model predictions, and data visualizations from the manuscript:Cottrell, T. E., Q. D. Read, and C. Starns. 2024. Electronic cold pasteurization for management of in-shell pecan weevil larvae (Coleoptera: Curculionidae). Journal of Economic Entomology, in press. (UPDATE WHEN PUBLISHED)Pecan weevils are an economically important pest of pecans. Irradiation treatment has been suggested as a means of managing this pest and satisfying quarantine restrictions. Here, we present a survival analysis of pecan weevils that were exposed to e-beam radiation under different conditions. This dataset includes the raw observations of mortality in CSV format and an RMarkdown notebook that goes through the steps of importing, processing, and visualizing the data, fitting a Bayesian binomial generalized linear mixed model with complementary log-log link function (equivalent to a proportional hazards survival model in this case), and producing model predictions in table and figure form. We also include the rendered HTML output of the notebook, as well as a pre-fit model object (.rds format) if it is desired to reproduce the model predictions without having to refit the model.pecan weevil radiation.csv: raw observations of mortality, with the following columnsDate: M/D/YYYY formate-beam strength: radiation intensity treatment (Gy)Rep: experimental replicate#: ID of individual insectExposure to e-beam: exposure treatment (Tube, Nut, Bare PW)Live/Dead: 1 denotes live and 0 denotes deadpecan_weevil_ebeam_survival_analysis.Rmd: RMarkdown notebook with all code and text interpretationpecan_weevil_ebeam_survival_analysis.Rmd: HTML rendered output of notebookbinomcloglog_noattr_beamlevel_gammaprior.rds: pre-fit model object (created by R package brms)