Fault data scarcity in HVAC fault detection: systematic review data, audit trail and code

Data, protocols, audit files and code behind the systematic review Fault data scarcity in HVAC fault detection: a critical review of transfer learning, synthetic data and foundation models by Raimo Simson, Karl-Villem Võsa, Martin Kiil and Jarek Kurnitski (Tallinn University of Technology, 2026). Contents: the supplementary material of the review (Supplementary_material.pdf with the text supplements, Supplementary_data.xlsx with the tables); the tables as CSV, JSON and Markdown (the extraction table, every screened record, the screening decisions, the PRISMA counts, the evidence tables and the references of the included studies); the search, screening and extraction protocols; supporting data files for the screening, the extraction checks and the evidence grading; and the Python scripts that build every count, table and figure. See README.md. Not included: the full texts of the reviewed studies (publishers' copyright; each record carries its DOI) and abstracts that may not be redistributed. The screened-records table keeps an abstract only where it was deposited with Crossref or is held by OpenAlex. Licence: data, documentation and text CC BY 4.0; code MIT, as stated in LICENSE.md. Funding: Estonian Research Council grants TEM-TA227 and PRG2154; the Estonian Centre of Excellence in Energy Efficiency, ENER (grant TK230), funded by the Estonian Ministry of Education and Research; the research infrastructure "Energy efficiency and renewable energy research infrastructure" funded by the Estonian Research Council (TARISTU24-TK12).