This dataset for monitoring the masonry of Michelangelo's Cloister at the Baths of Diocletian (Rome) was created by the University of Tuscia.
The measurements are carried out with a Fiber Bragg Grating (FBG) sensors, have been investigated:

• Strain of lesions (sensors S0 and S3);
• Temperature of masonry (sensors S1, S2 and S8);
• Humidity of masonry (sensors S4, S5, S6 and S7).

The data produced by the sensors were automatically saved them every 30 seconds. The dataset is composed of the data (...)

This dataset for monitoring the masonry of Michelangelo's Cloister at the Baths of Diocletian (Rome) was created by the University of Tuscia.
The measurements are carried out with a Fiber Bragg Grating (FBG) sensors, have been investigated:

• Strain of lesions (sensors S0 and S3);
• Temperature of masonry (sensors S1, S2 and S8);
• Humidity of masonry (sensors S4, S5, S6 and S7).

The data produced by the sensors were automatically saved them every 30 seconds. The dataset is composed of the data raw obtained from October 2018 to May 2019 and separated by month in 8 sheets. In total more than 2 million values were registered, used to understand the slow hazard phenomena present on the monitored masonry.

STORM (Safeguarding Cultural Heritage through Technical and Organisational Resources Management) is a HORIZON 2020 funded European Union Cultural Heritage project that aims at the protection of Cultural Heritage through a combination of technical and organizational resources (http://www.storm-project.eu).