  The paper describes a dataset comprising indoor environmental factors such as
temperature, humidity, air quality, and noise levels. The data was collected
from 10 sensing devices installed in various locations within three
single-family houses in Virginia, USA. The objective of the data collection was
to study the indoor environmental conditions of the houses over time. The data
were collected at a frequency of one record per minute for a year, combining
over 2.5 million records. The paper provides actual floor plans with sensor
placements to aid researchers and practitioners in creating reliable building
performance models. The techniques used to collect and verify the data are also
explained in the paper. The resulting dataset can be employed to enhance models
for building energy consumption, occupant behavior, predictive maintenance, and
other relevant purposes.
