
Time-series dataset of indoor environmental quality (IEQ) measurements collected at 5-minute intervals from March 2023 to May 2026 in a south-facing living room (25 m²) of a residential apartment in Bolzano, Italy. Data were acquired using a Netatmo HomeCoach sensor and cover four years of continuous monitoring across four CSV files (one per year). Variables include: timestamp, air temperature (°C), relative humidity (%), CO₂ concentration (ppm), noise level (dB), and atmospheric pressure (hPa). The apartment is equipped with radiators for heating and an air conditioning system for cooling. The dataset is suitable for occupancy pattern analysis, thermal comfort studies, indoor air quality benchmarking, and training/validation of building energy or comfort models. LICENSE: CC-BY 4.0DOI: 10.5281/zenodo.20098783 Related resources: Platform: https://www.moderate.cloud (interactive access, API) Documentation: https://moderate-project.github.io/moderate-docs Source code / tools: https://github.com/MODERATE-Project/ Project website: https://moderate-project.eu Grant Agreement: Horizon Europe GA 101069834 This dataset is released under Creative Commons Attribution 4.0 International (CC BY 4.0). You may use, share, and adapt the data for any purpose, provided you give appropriate credit. If you use this dataset, please cite: C. Pozza (2026). Indoor Environmental Quality – Residential Apartment, Bolzano, Italy (2023–2026). Zenodo. https://doi.org/10.5281/zenodo.20098783Project: MODERATE (Horizon Europe GA 101069834). https://www.moderate.cloud
Indoor environment, Building, Indoor air quality, FOS: Civil engineering
Indoor environment, Building, Indoor air quality, FOS: Civil engineering
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