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Research data . Dataset . 2019

Project STORM: monitoring the masonry of Michelangelo's Cloister, at the Baths of Diocletian, with Fiber Bragg Grating (FBG) sensors. RAW Dataset 2018 - 2019

Ulderico Santamaria; Giulia Governatori; Stefano Mastrostefano; Emanuele Dell'Aglio; Rita Reale;
Open Access
Published: 18 Jun 2019
Publisher: Zenodo
Abstract
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).
Subjects

Cultural Heritage, Baths of Diocletian, Masonry detection, Fiber Bragg Grating, Project STORM

Funded by
EC| STORM
Project
STORM
Safeguarding Cultural Heritage through Technical and Organisational Resources Management
  • Funder: European Commission (EC)
  • Project Code: 700191
  • Funding stream: H2020 | RIA
Related to Research communities
Digital Humanities and Cultural Heritage
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