Low-cost datalogger for environmental and physiological data collection with Arduino®

Physiological and environmental data are essential for understanding ecological relationships. Dataloggers, capable of long-term data acquisition and storage, are important tools for subsequent analysis. This work aimed to develop a low-cost, Arduino-based datalogger to capture both environmental (air temperature, humidity, and brightness) and physiological signals with sufficient precision for extended periods of several months to a year.