This DataSet consists of Both pluviometric and fluviometric data related to the una river, the aim of this project was to gather information that would eventually help developing machine learning predictions based on the river stage in order to prevent floods in the mata sul region of pernambuco, brazil specifically in palmares
Data was collected from strategically positioned monitoring centers in key cities, including Quipapá, Batateira, São Benedito do Sul, Belém de Maria, Maraial, Jaqueira, Laje Grande, Catende, and Palmares. Collaborations with organizations responsible for hydrological and meteorological monitoring, such as the National Agency of Water and Basic Sanitation (ANA) and the National Center of Natural Disasters (CEMADEN), ensure the reliability and quality of the data.