Study of sensor positioning and ventilation strategies in classrooms

This dataset contains multi-sensor measurements collected from classrooms in schools and universities over several months. It includes data on humidity, carbon dioxide (CO₂), temperature, and particulate matter, among others. A key feature is the inclusion of occupancy data, indicating the number of students present during each measurement, and ventilation types, such as open or closed windows and doors. Additionally, the dataset documents the spatial positioning of sensors within the classrooms.

The dataset is intended to support studies on air dynamics in classrooms, providing insights into how ventilation conditions affect indoor air quality. It also aids in determining optimal sensor placement for accurate and representative monitoring. This comprehensive dataset serves as a valuable resource for researchers aiming to enhance air quality and ventilation strategies in educational settings.

Citation request: Please cite the following paper when using this dataset: Marín et al., The reliability of CO₂ measurements using low-cost sensors: a study of sensor positioning and ventilation strategies in classrooms, Indoor Air, 2025.