Database on thermodynamic properties of building materials and air tightness of buildings for recently built buildings

This dataset has been developed within the scope of the project to provide a comprehensive collection of data related to the thermodynamic properties of building materials, measurements of parameters in various building structures, and air-tightness data for recently constructed buildings. The dataset is intended to support research activities, engineering analysis, decision-making processes, and implementation activities, while ensuring accessibility to all relevant stakeholders. In addition, the dataset will serve as a valuable resource for students involved in bachelor’s, master’s, and doctoral studies by providing convenient access to structured and reliable research data. The project is expected to generate a broad variety of data types and formats originating from laboratory experiments, surveys, field studies, simulations, monitoring systems, and other research activities. The collected data will support the achievement of the project’s objectives by addressing specific research questions, validating hypotheses, and facilitating the successful implementation of project activities. The dataset may include information obtained from both primary and secondary sources. Primary data sources may include experiments, field measurements, monitoring activities, and surveys, while secondary sources may consist of existing databases, scientific publications, technical reports, and literature reviews. This integrated approach ensures that the collected data is aligned with the project’s aims and contributes effectively to the expected scientific and practical outcomes. Whenever possible, efforts will be made to standardize the data using common and widely accepted file formats to improve accessibility, interoperability, and long-term usability. However, in some cases, specialized laboratory equipment or software may generate outputs in proprietary or equipment-specific formats. The dataset will be managed in accordance with FAIR data principles to enhance findability, accessibility, interoperability, and reusability.