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Publisher Correction: The Scales Project, a cross-national dataset on the interpretation of thermal perception scales
- Source :
- Scientific data, vol 7, iss 1, Scientific Data, Vol 7, Iss 1, Pp 1-1 (2020), Scientific Data, Scientific Data, Nature Publishing Group, 2020, 7 (1), ⟨10.1038/s41597-019-0348-3⟩
- Publication Year :
- 2020
- Publisher :
- eScholarship, University of California, 2020.
-
Abstract
- Thermal discomfort is one of the main triggers for occupants’ interactions with components of the built environment such as adjustments of thermostats and/or opening windows and strongly related to the energy use in buildings. Understanding causes for thermal (dis-)comfort is crucial for design and operation of any type of building. The assessment of human thermal perception through rating scales, for example in post-occupancy studies, has been applied for several decades; however, long-existing assumptions related to these rating scales had been questioned by several researchers. The aim of this study was to gain deeper knowledge on contextual influences on the interpretation of thermal perception scales and their verbal anchors by survey participants. A questionnaire was designed and consequently applied in 21 language versions. These surveys were conducted in 57 cities in 30 countries resulting in a dataset containing responses from 8225 participants. The database offers potential for further analysis in the areas of building design and operation, psycho-physical relationships between human perception and the built environment, and linguistic analyses.<br />Measurement(s)Natural Language • Demographics • humidity • response to temperature stimulus • temperature of air • geographic location • room temperature ambient airTechnology Type(s)Survey • sensorSample Characteristic - OrganismHomo sapiensSample Characteristic - EnvironmentbuildingSample Characteristic - LocationOman • Kingdom of Spain • Ecuador • Chile • Malaysia • Iraq • Poland • Nigeria • Iran • Italy • United States of America • Germany • Brazil • Jordan • Kingdom of the Netherlands • Greece • Sweden • Kingdom of Denmark • India • Sri Lanka • Uganda • South Korea • Republic of China • United Arab Emirates • Australia • French Republic • United Kingdom • Japan • Indonesia • China Machine-accessible metadata file describing the reported data: 10.6084/m9.figshare.9805289
- Subjects :
- 0106 biological sciences
Statistics and Probability
Data Descriptor
[SPI.GCIV.CD]Engineering Sciences [physics]/Civil Engineering/Construction durable
Information retrieval
Thermal perception
Computer science
Interpretation (philosophy)
Library and Information Sciences
010603 evolutionary biology
01 natural sciences
Computer Science Applications
Education
lcsh:Q
Civil engineering
Statistics, Probability and Uncertainty
lcsh:Science
Psychology and behaviour
ComputingMilieux_MISCELLANEOUS
010606 plant biology & botany
Information Systems
Cross national
Subjects
Details
- ISSN :
- 20524463
- Database :
- OpenAIRE
- Journal :
- Scientific data, vol 7, iss 1, Scientific Data, Vol 7, Iss 1, Pp 1-1 (2020), Scientific Data, Scientific Data, Nature Publishing Group, 2020, 7 (1), ⟨10.1038/s41597-019-0348-3⟩
- Accession number :
- edsair.doi.dedup.....2a485b7e69ad52603dbb554e4e91ec90
- Full Text :
- https://doi.org/10.1038/s41597-019-0348-3⟩