High-Temporal-Resolution In Situ Tropical Meteorological Dataset from Santo Domingo, Dominican Republic for Energy and Environmental Applications

High-temporal-resolution meteorological data collected under tropical climatic conditions are scarce yet highly valuable, because they facilitate a more precise characterisation of atmospheric variability. This paper presents a high-temporal-resolution meteorological database collected in Santo Domingo, Dominican Republic, using a Davis Vantage Pro2 Plus weather station. The database encompasses 170,861 observations covering 35 meteorological parameters, all of which were acquired at a temporal resolution of one minute. The database was prepared through a rigorous process of data organisation and cleaning. In the initial stage, NaN values representing missing data were identified and removed. In the second stage, based on the temporal and statistical characteristics of the database, missing values were reconstructed using an imputation technique. This approach ensures data quality and consistency, which are essential for the reliable utilisation of the database in scientific, energy-related, and engineering applications. The database is a valuable resource for the development of predictive tools based on machine learning and deep learning techniques to forecast solar radiation and wind speed. Additionally, it can serve as a useful input for the modelling and simulation of renewable energy systems.