Project: 'Adaptación del Sector Agroalimentario al Cambio Climático en Venezuela: Uso de Modelos Climáticos Avanzados' (N° 2024PGP119)Geographic scope: National coverage DescriptionThis repository contains the complete collection of climate datasets, geospatial products and derived indicators generated during the execution of the project Adaptación del Sector Agroalimentario al Cambio Climático en Venezuela: Uso de Modelos Climáticos Avanzados (2024PGP119-National Fund for Science, Technology and Innovation). The dataset includes high‑resolution climate projections (≈1 km) for temperature and precipitation under multiple global climate models and two SSP emission trajectories (SSP2‑4.5 and SSP5‑8.5), covering the future windows 2021–2040, 2041–2060, 2061–2080, and 2081–2100. Projections were derived using advanced global models such as HadGEM3‑GC31‑LL, GISS‑E2‑1‑G, MIROC6, INM‑CM5.0, ACCESS‑CM2, IPSL‑CM6A‑LR, CMCC‑ESM2, MPI‑ESM1‑2‑HR, EC‑Earth3‑Veg, MRI‑ESM2‑0, FIO‑ESM‑2.0, UKESM1‑0‑LL, and BCC‑CSM2‑MR. Baseline climatology and complementary layers were integrated from the WorldClim database.To ensure methodological transparency and reproducibility, all data processing was performed using open‑source tools, specifically R and JavaScript for Google Earth Engine, allowing full auditability of the computational pipeline. The repository includes all scripts used for geoprocessing and climate index calculations. In addition to the climate projections, the repository incorporates:- Digital Elevation Model at 250 m resolution- Monthly precipitation from CHIRPS (2000–2020) used for validation and comparison- Stacks of GeoTIFF maps (temperature min/max/mean and precipitation)- Derived climate indices at state level, including percent changes in precipitation and temperature anomalies relative to the 1970–2000 climatological baseline The products housed here provide a robust scientific foundation for climate adaptation policies, national communications on climate change, NDC updates, and regional decision‑making. Given their spatial detail and methodological rigor, these datasets enable stakeholders to evaluate climate risks, quantify uncertainties, and design adaptation strategies aligned with the most advanced climate models currently available.Notes:- ACCESS_CM2.7z contains the monthly precipitation, minimum temperature, and maximum temperature raster files for each time window and each SSP. The same structure applies to all other global climate models.- ProjectedTemperatureAnomalies provides monthly temperature anomalies (in degrees Celsius) relative to the 1970–2000 baseline for each model, time window, and SSP.- PrecipitationChange contains the percentage change in monthly precipitation relative to the 1970–2000 baseline for each model, time window, and SSP.- Ven_250m_SRTM contains a Digital Elevation Model (DEM) covering the entire territory of Venezuela at a 250‑meter spatial resolution, derived from SRTM imagery.- For more details about the pipelines developed in this project, or for the formulation of new projects based on these data, please contact Franklin Paredes‑Trejo (fparedes@unellez.edu.ve)