Este archivo ha sido creado el 08-10-2025 por Jesús Llanos-Jiménez GENERAL INFORMATION ------------------ 1. Dataset title: Dataset of surveys on thermal comfort and air quality in archetypal schools in Andalusia 2. Authorship: Name: Jesús Llanos-Jiménez Institution: Instituto Universitario de Arquitectura y Ciencias de la Construcción, Escuela Técnica Superior de Arquitectura de Sevilla, Departamento de Construcciones Arquitectónicas I Email: jllanos@us.es ORCID: 0000-0002-8829-9347 Name: Alicia Alonso Institution: Instituto Universitario de Arquitectura y Ciencias de la Construcción, Escuela Técnica Superior de Arquitectura de Sevilla, Departamento de Construcciones Arquitectónicas I Email: aliciaalonso@us.es ORCID: 0000-0002-0321-1730 Name: Rafael Suárez Institution: Instituto Universitario de Arquitectura y Ciencias de la Construcción, Escuela Técnica Superior de Arquitectura de Sevilla, Departamento de Construcciones Arquitectónicas I Email: rsuarez@us.es ORCID: 0000-0001-6136-1596 Name: Ángel Luis León-Rodríguez Institution: Instituto Universitario de Arquitectura y Ciencias de la Construcción, Escuela Técnica Superior de Arquitectura de Sevilla, Departamento de Construcciones Arquitectónicas I Email: leonr@us.es ORCID: 0000-0003-3466-7850 DESCRIPTION ---------- 1. Dataset language: Spanish 2. Abstract: This database contains the results of several survey campaigns conducted between 2022 and 2024 among students in schools typical of the Mediterranean climate in Andalusia, with the aim of determining perceived thermal comfort and air quality. The surveys were designed in accordance with EN ISO 10551 and ASHRAE Standard 55. This field research is part of the COHEVES research project (PID2020-117722RB-I00) ‘Retrofit ventilation strategies for healthy and comfortable schools within a nearly zero-energy building horizon’ funded by the Ministry of Science, Innovation and Universities (MICIU/AEI/10.13039/501100011033/). 3. Keywords: Surveys; thermal comfort; schools; Mediterranean climate 4. Date of data collection (fecha única o rango de fechas): 2022-2024 5. Publication Date: 15-10-2025 6. Grant information: Grant Agency : Ministerio de Ciencia, Innovación y Universidades Grant Number : MICIU/AEI/10.13039/501100011033/ 7. Geographical location/s of data collection: Andalusia, Spain. ACCESS INFORMATION ------------------------ 1. Creative Commons License of the dataset: Licencia CC BY-NC-ND 2. Dataset DOI: https://doi.org/10.12795/11441/177676 3. Related publication: J. Llanos-Jiménez, R. Suárez, A. Alonso, J.J. Sendra, Objective and subjective indoor air quality and thermal comfort indices: characterization of Mediterranean climate archetypal schools after the COVID-19 pandemic, IndoorAir 2024 (2024). https://doi.org/https://doi.org/10.1155/2024/2456666. A. Alonso, R. Suárez, J. Llanos-Jiménez, C.M. Muñoz-González, Students’ thermal and indoor air quality perception in secondary schools in a Mediterranean climate, Energy Build 333 (2025) 115479. https://doi.org/10.1016/J.ENBUILD.2025.115479. 4. Link to related datasets: DOI/URL: - VERSIONING AND PROVENANCE --------------- 1. Last modification date: - 2. Were data derived from another source?: - 3. Additional related data not included in this dataset: - METHODOLOGICAL INFORMATION ----------------------- Surveys on thermal comfort and indoor air quality were conducted in accordance with EN ISO 10551 and ASHRAE Standard 55. Subsequently, several survey campaigns were carried out among students from various archetypal schools in Andalusia. 1. Description of the methods used to collect and generate the data: The data recorded by hand by each respondent was later digitized and entered into the database. 2. Data processing methods: Data processing included a column that determines the consistency and, therefore, the validity of the responses in each survey (row) by comparing the consistency between the responses to the different questions on thermal comfort. 3. Software or instruments needed to interpret the data: Excel. 4. Information about instruments, calibration and standards: EN ISO 10551 and ASHRAE Standard 55. 5. Environmental or experimental conditions: All indoor and outdoor environmental conditions have been recorded in the database. 6. Quality-assurance procedures performed on the data: Those expressed for the data processing methods. FILE OVERVIEW ---------------------- 1. Explain the file naming conversion, si es aplicable: Dataset school surveys - TEP 999.xlsx 2. File list: File name: Dataset school surveys - TEP 999 Description: Complete dataset 3. Relationship between files: - 4. File format: Excel. 5. If the dataset includes multiple files, specify the directory structure and relationships between the files: - 6. Specific information for tabular data Column A:A indicates the climatic zone of the educational building; column B:B indicates the identifying code of the secondary school (IES); column C:C indicates the building’s construction period; column D:D indicates the survey date in day/month/year format; column E:E indicates the time at which the survey was conducted in hour:minute format; column F:F indicates the operative temperature (Top) in °C; column G:G indicates the relative humidity (RH) in percentage; column H:H indicates the CO₂ concentration in ppm; column I:I indicates the biological gender of the respondent; column J:J indicates the age of the respondent; column K:K indicates the classroom orientation (for example, north, south, east, or west); column L:L indicates the daily time spent outdoors; column M:M indicates whether the windows were open during the survey; column N:N indicates the frequency of window opening; column O:O indicates the clothing level; column P:P indicates the type of metabolic activity performed by the respondent at the time of measurement; column Q:Q indicates the perceived thermal sensation; column R:R indicates the numerical thermal sensation vote; column S:S indicates the perceived thermal comfort; column T:T indicates the numerical thermal comfort vote; column U:U indicates the perceived thermal Preference vote; column V:V indicates the numerial thermal preference vote; column W:W indicates the perceived overall thermal comfort evaluation; column X:X indicates the numerical global thermal comfort vote; column Y:Y indicates the consistency of the answers given by the respondent; column Z:Z indicates whether the respondent felt cold feet; column AA:AA indicates whether the respondent felt heat on the head; column AB:AB indicates the level of perspiration; column AC:AC indicates the perceived odor in the classroom; column AD:AD indicates the numerical olfactory vote; column AE:AE indicates the perceived global evaluation of indoor air quality; and column AF:AF indicates the numerical indoor air quality vote.