Dataset Supporting "Participatory design of an early warning system few floods in mountain basins for river and community protection: Case study of El Asilo stream"

The data includes three key variables: water level (measured by the ultrasonic sensor), temperature, and timestamp. The dataset is structured chronologically, providing continuous monitoring data that can be used to analyze variations in water level and temperature over time.

These measurements are critical for understanding hydrological behavior and validating the early warning system developed for the El Asilo stream in La Calera, Colombia. This dataset supports the study of environmental risks and the application of IoT-based monitoring systems in watershed management.