This repository contains various information related to the analysis of species distribution models conducted in this work. It includes the following scripts and datasets: 1. Scripts classified in the following folders: 1. Presences and Absences: Scripts for creating pseudo-absence points for each study area (other data is also included, e.g., bathymetry). 2. Environmental Data: Scripts for extracting, cleaning, and preparing environmental data for analysis. 3. Fitting: Scripts used to fit species distribution models, calculate the cutoff, and analyze spatial autocorrelation. 4. Predict: Scripts for making predictions based on the fitted models. 2. Datasets: Occurrence Data: The datasets containing species occurrence records after cleaning. Bas_etal_2025/1. Presences and absences/1. NZAU/CSV_ocurrences_NZAU/ Bas_etal_2025/1. Presences and absences/2. South_America/CSV_ocurrences_South_America/ Bas_etal_2025/1. Presences and absences/3. Southern_Africa/CSV_ocurrences_Southern_Africa/ Pseudo-absence Data: The datasets created after the generation of pseudo-absences for modeling species distributions. Bas_etal_2025/1. Presences and absences/1. NZAU/CSV_pseudoabsences_NZAU/ Bas_etal_2025/1. Presences and absences/2. South_America/CSV_pseudoabsences_South_America/ Bas_etal_2025/1. Presences and absences/3. Southern_Africa/CSV_pseudoabsences_Southern_Africa/ Environmental Data: The datasets consisting of the extraction of the environmental variables for each occurrence and pseudo-absence. Bas_etal_2025/2. Environmental data/Dataset after 6. extract_environmentalData_SH_SDM/NZAU/ Bas_etal_2025/2. Environmental data/Dataset after 6. extract_environmentalData_SH_SDM/South_America/ Bas_etal_2025/2. Environmental data/Dataset after 6. extract_environmentalData_SH_SDM/Southern_Africa/ Note: NZAU or australiaNZ refer to Australia and New Zealand study area; Southern_Africa, southAfrica or SAf refer to Southern Africa study area; and South_America, southAmerica or SAm refer to South America study area. Species can be found in various ways, for example, Arctocephalus australis can be found as A. australis or AAUS (see Table 1 from the main work for all species included). These materials are intended to facilitate the reproducibility of the analysis presented in the associated publication.