The operational building data presented in this paper has been collected from six office rooms located in an office building (research and educational purposes) located on the main campus of Aalborg University in Denmark. The dataset consists of measurements of occupancy, indoor environmen- tal quality, room-level and system-level heating, ventilation and lighting operation at a 5 min resolution. The indoor environmental quality and building system data were col- lected from the building management system. The occupancy level in each monitored room is established from the com- puter vision-based analysis of wall-mounted camera footage of each office. The number of people present in the room is estimated using the YOLOv5s image recognition algorithm. The present dataset can be used for occupancy analysis, in- door environmental quality investigations, machine learning, and model predictive control.
Original languageEnglish
Article number110326
JournalData in Brief
Number of pages33
Publication statusPublished - Jun 2024

Bibliographical note

© 2024 The Author(s).


  • Building systems
  • Data
  • Denmark
  • HVAC
  • High-resolution data
  • Indoor climate
  • building operation
  • number of occupants
  • occupancy
  • office building


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