The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.
Development of the ASHRAE Global Thermal Comfort Database II
Open accessAbstract
Recognizing the value of open-source research databases in advancing the art and science of HVAC, in 2014 the ASHRAE Global Thermal Comfort Database II project was launched under the leadership of University of California at Berkeley's Center for the Built Environment and The University of Sydney's Indoor Environmental Quality (IEQ) Laboratory. The exercise began with a systematic collection and harmonization of raw data from the last two decades of thermal comfort field studies around the world. The ASHRAE Global Thermal Comfort Database II (Comfort Database), now an online, open-source database, includes approximately 81,846 complete sets of objective indoor climatic observations with accompanying “right-here-right-now” subjective evaluations by the building occupants who were exposed to them. The database is intended to support diverse inquiries about thermal comfort in field settings. A simple web-based interface to the database enables filtering on multiple criteria, including building typology, occupancy type, subjects' demographic variables, subjective thermal comfort states, indoor thermal environmental criteria, calculated comfort indices, environmental control criteria and outdoor meteorological information. Furthermore, a web-based interactive thermal comfort visualization tool has been developed that allows end-users to quickly and interactively explore the data.
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Data mining: concepts and techniques
(2012) · Choice Reviews Online · doi:10.5860/choice.49-3305 · Cited by 28,531
Thermal Environmental Conditions for Human Occupancy
Ashrae, S. (1992) · Medical Entomology and Zoology · Cited by 6,092
(1998) · eScholarship (California Digital Library) · Cited by 1,934
Thermal adaptation in the built environment: a literature review
Brager, G. S., & de Dear, R. J. (1998) · Energy and Buildings · doi:10.1016/s0378-7788(97)00053-4 · Cited by 1,483
Self-citationExtension of the PMV model to non-air-conditioned buildings in warm climates
Ole Fanger, P., & Toftum, J. (2002) · Energy and Buildings · doi:10.1016/s0378-7788(02)00003-8 · Cited by 853
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de Dear, R. J., Akimoto, T., Arens, E. A., Brager, G., Candido, C., Cheong, K. W. D., Li, B., Nishihara, N., Sekhar, S. C., Tanabe, S., et al. (2013) · Indoor Air · doi:10.1111/ina.12046 · Cited by 523
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McCartney, K. J., & Fergus Nicol, J. (2002) · Energy and Buildings · doi:10.1016/s0378-7788(02)00013-0 · Cited by 458
Operable windows, personal control and occupant comfort.
Brager, G. S., Paliaga, G., & de Dear, R. (2004) · eScholarship (California Digital Library) · Cited by 347
Self-citationManu, S., Shukla, Y., Rawal, R., Thomas, L., & de Dear, R. (2015) · Building and Environment · doi:10.1016/j.buildenv.2015.12.019 · Cited by 347
Self-citationWagner, A., Gossauer, E., Moosmann, C., Gropp, T., & Leonhart, R. (2007) · Energy and Buildings · doi:10.1016/j.enbuild.2007.02.013 · Cited by 343
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Metadata
- Authors
- Földváry Ličina, V., Cheung, T., Zhang, H., de Dear, R., Parkinson, T., Arens, E., Chun, C., Schiavon, S., Luo, M., Brager, G., Li, P., Kaam, S., Adebamowo, M. A., Andamon, M. M., Babich, F., Bouden, C., Bukovianska, H., Candido, C., Cao, B., Carlucci, S., Cheong, D. K. W., Choi, J.-H., Cook, M., Cropper, P., Deuble, M., Heidari, S., Indraganti, M., Jin, Q., Kim, H., Kim, J., Konis, K., Singh, M. K., Kwok, A., Lamberts, R., Loveday, D., Langevin, J., Manu, S., Moosmann, C., Nicol, F., Ooka, R., Oseland, N. A., Pagliano, L., Petráš, D., Rawal, R., Romero, R., Rijal, H. B., Sekhar, C., Schweiker, M., Tartarini, F., Tanabe, S.-I., Tham, K. W., Teli, D., Toftum, J., Toledo, L., Tsuzuki, K., De Vecchi, R., Wagner, A., Wang, Z., Wallbaum, H., Webb, L., Yang, L., Zhu, Y., Zhai, Y., Zhang, Y., & Zhou, X.
- Venue
- Building and Environment
- Publisher
- Elsevier BV
- Published
- 2018-09
- Volume
- 142
- Pages
- 502-512
- ISSN
- 0360-1323 (ISSN-L)
- OpenAlex
- W2809095263
- Cited by
- 481
- References
- 42
- FWCI
- 28.95
- Type
- journal article
- Language
- en
- Open access
- green
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- Földváry Ličina, V., Cheung, T., Zhang, H., de Dear, R., Parkinson, T., Arens, E., Chun, C., Schiavon, S., Luo, M., Brager, G., Li, P., Kaam, S., Adebamowo, M. A., Andamon, M. M., Babich, F., Bouden, C., Bukovianska, H., Candido, C., Cao, B., . . . Zhou, X. (2018). Development of the ASHRAE Global Thermal Comfort Database II. Building and Environment. https://doi.org/10.1016/j.buildenv.2018.06.022
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.