Dataset gathered during the Smart Green Homes (SGH) project. The project aimed to develop integrated product and technology solutions for households, raising standards of comfort, safety, and user satisfaction to a new level and, at the same time, respond to the problems of sustainability of the planet, increasing energy efficiency and reducing the emission of gaseous pollutants and the consumption of water. One of the explored scenarios collected environmental data from volunteers' homes and the level of comfort as perceived by the volunteers. The resulting dataset was used during the project but contains more useful information than what was possible to explore at the time. We now share with the community a dataset that can be used for heating appliance optimization, presence detection, and environmental prediction (temperature relative humidity, and atmospheric pressure).