This paper presents a dataset capturing indoor environmental factors—including temperature, humidity, air quality, and noise levels—collected from 10 sensing devices installed in various locations within three single-family houses in Virginia, USA. The primary objective was to monitor and analyze indoor environmental conditions over time. Data were recorded at one-minute intervals for approximately one year, resulting in over 2.5 million records. To support the development of accurate building performance models, the paper includes actual floor plans with sensor placement details. It also outlines the methods used for data collection and validation. The dataset can be leveraged to advance research in areas such as building energy consumption, occupant behavior, predictive maintenance, and other applications related to smart and sustainable buildings.
Keywords
Indoor environment dataset; remote sensing; IoT data collection; distributed data infrastructure
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