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Dataset on energy efficiency assessment and measurement method for child-friendly space in cold residential area

The data related in this paper are related to “Environmental-behavior studies of sustainable construction of the third place – based on outdoor environment-behavior cross-feed symbiotic analysis and verification of selective activities” (Ren, 2017) [1]. The dataset was from a field sub-time extended...

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Detalles Bibliográficos
Autores principales: Ren, Kai, Xu, Leiqing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5537420/
https://www.ncbi.nlm.nih.gov/pubmed/28795091
http://dx.doi.org/10.1016/j.dib.2017.07.032
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author Ren, Kai
Xu, Leiqing
author_facet Ren, Kai
Xu, Leiqing
author_sort Ren, Kai
collection PubMed
description The data related in this paper are related to “Environmental-behavior studies of sustainable construction of the third place – based on outdoor environment-behavior cross-feed symbiotic analysis and verification of selective activities” (Ren, 2017) [1]. The dataset was from a field sub-time extended investigation to children of Hohhot West Inner Mongolia Electric Power Community Residential Area in Inner Mongolia of China that belongs to cold region of ID area according to Chinese design code for buildings. This filed data provided descriptive statistics about outdoor time, behavior scale specificity, age exclusivity and self-centeredness for children in different ages (babies, preschool children, school age children). This data provided five measurement elements of child-friendly space and their weight ratio. The field data set is made publicly available to enable critical or extended analyzes.
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spelling pubmed-55374202017-08-09 Dataset on energy efficiency assessment and measurement method for child-friendly space in cold residential area Ren, Kai Xu, Leiqing Data Brief Social Science The data related in this paper are related to “Environmental-behavior studies of sustainable construction of the third place – based on outdoor environment-behavior cross-feed symbiotic analysis and verification of selective activities” (Ren, 2017) [1]. The dataset was from a field sub-time extended investigation to children of Hohhot West Inner Mongolia Electric Power Community Residential Area in Inner Mongolia of China that belongs to cold region of ID area according to Chinese design code for buildings. This filed data provided descriptive statistics about outdoor time, behavior scale specificity, age exclusivity and self-centeredness for children in different ages (babies, preschool children, school age children). This data provided five measurement elements of child-friendly space and their weight ratio. The field data set is made publicly available to enable critical or extended analyzes. Elsevier 2017-07-19 /pmc/articles/PMC5537420/ /pubmed/28795091 http://dx.doi.org/10.1016/j.dib.2017.07.032 Text en © 2017 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Social Science
Ren, Kai
Xu, Leiqing
Dataset on energy efficiency assessment and measurement method for child-friendly space in cold residential area
title Dataset on energy efficiency assessment and measurement method for child-friendly space in cold residential area
title_full Dataset on energy efficiency assessment and measurement method for child-friendly space in cold residential area
title_fullStr Dataset on energy efficiency assessment and measurement method for child-friendly space in cold residential area
title_full_unstemmed Dataset on energy efficiency assessment and measurement method for child-friendly space in cold residential area
title_short Dataset on energy efficiency assessment and measurement method for child-friendly space in cold residential area
title_sort dataset on energy efficiency assessment and measurement method for child-friendly space in cold residential area
topic Social Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5537420/
https://www.ncbi.nlm.nih.gov/pubmed/28795091
http://dx.doi.org/10.1016/j.dib.2017.07.032
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