Rifugio Boé (Dolomites, 2871 m) Hourly Hygrothermal Dataset, 2020–2025

This dataset contains hourly hygrothermal monitoring data collected at the high-altitude case study site, “Rifugio Boé” (Dolomites, 2871 m, Italy), from 2020 to 2025. The data provide continuous measurements of outdoor and indoor boundary conditions and are intended for research on building physics, energy performance, and the conservation of historic and extreme-environment buildings. The dataset has been pre-processed into hourly time series to ensure comparability with climate data and simulation tools. Rain data were aggregated as sums, while other variables were averaged. Raw files from Campbell CR6 dataloggers were cleaned, merged, and aggregated using Python scripts. To ensure transparency and reproducibility, the repository also includes the Python scripts used for data processing: ZENODO_Print.py: script for printing, structuring, and exporting the final dataset. ZENODO_Data_Aggregation.py: script for data cleaning, aggregation (hourly resampling), and formatting Data and scripts are released under CC BY 4.0 license and can be freely reused with appropriate citation.本数据集包含采集自意大利多洛米蒂山区海拔2871米的高海拔研究站点“里富吉奥·博埃（Rifugio Boé）”的逐时湿热监测数据，采集时段为2020年至2025年。该数据集提供室外与室内边界条件的连续实测数据，旨在支撑建筑物理学、建筑能源性能以及历史建筑与极端环境建筑保护相关研究。 本数据集已预处理为逐时时间序列，以确保与气候数据及仿真工具的可比性。其中降雨数据以累加值形式聚合，其余变量则以平均值形式聚合。原始数据源自坎贝尔CR6数据记录仪（Campbell CR6 dataloggers），已通过Python脚本完成清洗、合并与聚合操作。 为确保研究的透明度与可复现性，本数据集存储库还附带了用于数据处理的Python脚本： ZENODO_Print.py：用于最终数据集的打印、结构化与导出的脚本。 ZENODO_Data_Aggregation.py：用于数据清洗、聚合（逐时重采样）与格式整理的脚本。 本数据集与脚本采用CC BY 4.0协议发布，在恰当引用的前提下可自由复用。