Title Data for: Bye Bye Baby: Effects of Bear Predation on the Movement and Behaviour of Female Moose Authors Bruno Esattore, Fredrik Stenbacka, Göran Ericsson, Jonas Kindberg, Aimee Tallian, Jenny Mattisson, and Wiebke Neumann Description This repository contains an anonymised, analysis-ready dataset associated with the manuscript: "Bye Bye Baby: Effects of Bear Predation on the Movement and Behaviour of Female Moose". The deposited dataset consists of 16 columns and 81477 rows, and contains all variables required to reconstruct the datasets used in the statistical analyses presented in the manuscript. The accompanying R script documents the processing steps required to generate the model-specific datasets used in each analysis. To protect study animals and comply with ethical and data-sharing requirements, original GPS coordinates, geographic locations, timestamps, and animal identifiers have been removed prior to publication. Individual animals are represented by anonymised identifiers. The deposited dataset allows full reproduction of all statistical models presented in the manuscript. Files 1. Data_for_Bye_bye_baby_Effects_of_bear_predation_on_the_movement_and_behaviour_of_female_moose.csv Main anonymised dataset used in the analyses. 2. DataDictionary.txt Description of all variables included in the dataset. 3. Reproducibility_script.R R script describing the processing steps required to recreate the model-specific datasets and derived variables used in the analyses. The script does not include the statistical model fitting code. Dataset structure Each row corresponds to a GPS observation associated with an individual female moose. Identifiers - individual_id: anonymised female identifier. Software All analyses were conducted in R. Reproducibility The repository provides the anonymised analysis-ready dataset and the processing steps required to reconstruct the datasets used for each statistical analysis. Statistical model specifications and model outputs are reported in the associated manuscript. The repository is intended to facilitate reproducibility of the data preparation workflow while protecting sensitive animal location information. Contact Bruno Esattore Department of Wildlife, Fish and Environmental Studies Swedish University of Agricultural Sciences (SLU) Umeå, Sweden Email: bruno.esattore@slu.se Citation Please cite both the associated manuscript and this dataset when using the data.