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<p>A five-year hygrothermal dataset (23 September 2020 to 8 August 2025) was compiled from Rifugio Boé, a 1905 stone mountain refuge situated at 2870 m a.s.l. in the Dolomites. The dataset includes hourly recordings of outdoor climate parameters (temperature, relative humidity, global tilted irradiance, and driving rain), indoor conditions across six functionally distinct rooms, and temperature–humidity profiles at three depths within the retrofitted south-east wall. The monitoring system was engineered for robust, long-term operation under harsh alpine conditions. Data are provided in CSV format, accompanied by comprehensive sensor metadata. The dataset supports: (i) validation of hygrothermal simulation models under extreme alpine conditions; (ii) evaluation of the long-term performance and durability of internal insulation within historic masonry; and (iii) benchmarking of moisture-related risk in high-altitude heritage structures. Moreover, the dataset offers a rare opportunity to examine hygrothermal responses in high-elevation-built heritage, a research domain where long-term, high-frequency data remain scarce.</p>

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Monitored hygrothermal dataset of a high-altitude Dolomite refuge: wall and indoor climate at 2870 m a.s.l.

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年1月7日

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  • Simone Panico,
  • Alessandro Zandonai,
  • Eleonora Leonardi,
  • Marco Larcher,
  • David Cennamo,
  • Daniel Herrera-Avellanosa,
  • Alexandra Troi

摘要

A five-year hygrothermal dataset (23 September 2020 to 8 August 2025) was compiled from Rifugio Boé, a 1905 stone mountain refuge situated at 2870 m a.s.l. in the Dolomites. The dataset includes hourly recordings of outdoor climate parameters (temperature, relative humidity, global tilted irradiance, and driving rain), indoor conditions across six functionally distinct rooms, and temperature–humidity profiles at three depths within the retrofitted south-east wall. The monitoring system was engineered for robust, long-term operation under harsh alpine conditions. Data are provided in CSV format, accompanied by comprehensive sensor metadata. The dataset supports: (i) validation of hygrothermal simulation models under extreme alpine conditions; (ii) evaluation of the long-term performance and durability of internal insulation within historic masonry; and (iii) benchmarking of moisture-related risk in high-altitude heritage structures. Moreover, the dataset offers a rare opportunity to examine hygrothermal responses in high-elevation-built heritage, a research domain where long-term, high-frequency data remain scarce.