We propose a dataset concerning a modular education building (NR3) located on CESI Engineering School of Nanterre (Approximate GPS coordinates: 48.9033,2.1925). NR3 building is composed of 16 shipping containers offering an available surface of ≈220m² on two levels. It integrates 4 classrooms named Turing (38 m²), Tesla (51 m²), Nobel (38 m²) and Lumière (38 m²); a IT room named Bell (8.7 m²); an office named Nobel2 (8.7m²); a technical room named Local_tech and a hall distributed on the 2 levels. NR3 building is equiped with approximately 200 sensors and actuators allowing the measurement of the physical behavior of the building and the control of HVAC systems.

The dataset is composed of 14 csv tables including physical indoor and outdoor parameters (temperature, humidity, radiation…), total energetic consumption of the building, state and operating data of all systems (heat pump, CMV, shutters, windows…). Data were recorded during summer 2023, i.e. between the 21 of june and the 22 of september. A redme.xlsx file and a map of the building helps to understand each table.