Sensor based dataset to assess the impact of urban heat island effect mitigation and indoor thermal comfort via terrace gardens
This dataset contains temperature variations observed on a building terrace that is partially covered with plantations on one side while the other side remains exposed. The study was conducted at a shelter named “Anbagham” in Tamil Nadu, India. Two sets of temperature and humidity sensors were utili...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-08-01
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| Series: | Data in Brief |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340923005310 |
| _version_ | 1797743970610053120 |
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| author | Girish Visvanathan Kailas Patil Yogesh Suryawanshi Prawit Chumchu |
| author_facet | Girish Visvanathan Kailas Patil Yogesh Suryawanshi Prawit Chumchu |
| author_sort | Girish Visvanathan |
| collection | DOAJ |
| description | This dataset contains temperature variations observed on a building terrace that is partially covered with plantations on one side while the other side remains exposed. The study was conducted at a shelter named “Anbagham” in Tamil Nadu, India. Two sets of temperature and humidity sensors were utilized, with one set placed on the external roofs and the other set placed inside the rooms corresponding to these roofs. The analysis spanned over a period of two months, specifically during the hottest period of the year, totaling 66 days, with measurements taken every hour. The provided dataset can be effectively utilized to examine temperature disparities and patterns in the internal environment attributed to the presence or absence of roof gardens. This research and the accompanying dataset have significant implications for various disciplines. They can aid in the planning and design of energy-efficient buildings, assist green building engineers in estimating internal thermal comfort, enable city/urban planners to estimate land surface temperatures, allow botanists to evaluate the impact of foliage on temperature relief, aid civil engineers in proposing green and insulative roof assemblies, and help mechanical engineers estimate reduced cooling loads and corresponding energy savings. |
| first_indexed | 2024-03-12T15:04:06Z |
| format | Article |
| id | doaj.art-226a89f0ad0042ffb1e5668acb6480d9 |
| institution | Directory Open Access Journal |
| issn | 2352-3409 |
| language | English |
| last_indexed | 2024-03-12T15:04:06Z |
| publishDate | 2023-08-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj.art-226a89f0ad0042ffb1e5668acb6480d92023-08-13T04:54:18ZengElsevierData in Brief2352-34092023-08-0149109431Sensor based dataset to assess the impact of urban heat island effect mitigation and indoor thermal comfort via terrace gardensGirish Visvanathan0Kailas Patil1Yogesh Suryawanshi2Prawit Chumchu3Vishwakarma University, Pune, IndiaVishwakarma University, Pune, India; Corresponding authors.Vishwakarma University, Pune, IndiaKasetsart University, Thailand; Corresponding authors.This dataset contains temperature variations observed on a building terrace that is partially covered with plantations on one side while the other side remains exposed. The study was conducted at a shelter named “Anbagham” in Tamil Nadu, India. Two sets of temperature and humidity sensors were utilized, with one set placed on the external roofs and the other set placed inside the rooms corresponding to these roofs. The analysis spanned over a period of two months, specifically during the hottest period of the year, totaling 66 days, with measurements taken every hour. The provided dataset can be effectively utilized to examine temperature disparities and patterns in the internal environment attributed to the presence or absence of roof gardens. This research and the accompanying dataset have significant implications for various disciplines. They can aid in the planning and design of energy-efficient buildings, assist green building engineers in estimating internal thermal comfort, enable city/urban planners to estimate land surface temperatures, allow botanists to evaluate the impact of foliage on temperature relief, aid civil engineers in proposing green and insulative roof assemblies, and help mechanical engineers estimate reduced cooling loads and corresponding energy savings.http://www.sciencedirect.com/science/article/pii/S2352340923005310Urban horticultureUrban farmingRoof top gardeningThermal insulationSolar reflective indexThermal comfort |
| spellingShingle | Girish Visvanathan Kailas Patil Yogesh Suryawanshi Prawit Chumchu Sensor based dataset to assess the impact of urban heat island effect mitigation and indoor thermal comfort via terrace gardens Data in Brief Urban horticulture Urban farming Roof top gardening Thermal insulation Solar reflective index Thermal comfort |
| title | Sensor based dataset to assess the impact of urban heat island effect mitigation and indoor thermal comfort via terrace gardens |
| title_full | Sensor based dataset to assess the impact of urban heat island effect mitigation and indoor thermal comfort via terrace gardens |
| title_fullStr | Sensor based dataset to assess the impact of urban heat island effect mitigation and indoor thermal comfort via terrace gardens |
| title_full_unstemmed | Sensor based dataset to assess the impact of urban heat island effect mitigation and indoor thermal comfort via terrace gardens |
| title_short | Sensor based dataset to assess the impact of urban heat island effect mitigation and indoor thermal comfort via terrace gardens |
| title_sort | sensor based dataset to assess the impact of urban heat island effect mitigation and indoor thermal comfort via terrace gardens |
| topic | Urban horticulture Urban farming Roof top gardening Thermal insulation Solar reflective index Thermal comfort |
| url | http://www.sciencedirect.com/science/article/pii/S2352340923005310 |
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