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Indoor heat measurement data from low-income households in rural and urban South Asia

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NIAID Data Ecosystem2026-03-13 收录
下载链接:
https://figshare.com/articles/dataset/Indoor_heat_measurement_data_from_low-income_households_in_rural_and_urban_South_Asia/12546368
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This file-set contains data on indoor and outdoor temperature measurements in five-study sites in the South Asian region. Two study sites focus on the rural part; Yavatmal and Jalna (Maharashtra, India) while Dhaka (Bangladesh), Delhi (India) and Faisalabad (Pakistan) focus on urban heat exposure. The fileset consists of a total of 15 .csv files. These are: Faisalabad AWS Data.csvJalna AWS Data.csvYavatmal AWS Data.csvDelhi AWS Data.csvDhaka AWS Data.csvYavatmal Indoor Data.csvDelhi Indoor Data.csvDhaka Indoor Data.csvFaisalabad Indoor Data.csvJalna Indoor Data.csvJalna Housing Structure Data.csvYavatmal Housing Structure Data.csvDelhi Housing Structure Data.csvDhaka Housing Structure Data.csvFaisalabad Housing Structure Data.csv Additionally, four.doc files and one PDF file are included. Informed Consent Form – WOTR.doc is the informed consent form. The data file Data Supplement.doc (as a readme file), contains tables explaining all the variables in the .csv files. README FILE 1- Housing Roofing Structure data, README FILE 2- Indoor Data Loggers, README FILE 3 - AWS Urban-Rural Area and README FILE 4 -Davis Installation Manual (PDF file) Outdoor observations (air temperature, humidity, wind speed, and solar radiation) based on the Automated Weather Station (AWS), are contained in the 5 AWS .csv files.Indoor temperature measurements are contained in the 5 Indoor Data .csv files.Data on housing structure are contained in the 5 Housing Structure Data .csv files. Study aims and methodology: Rising temperatures have been causing distress across the world, but for those most vulnerable, it is a silent killer. Information about indoor air temperatures in residential buildings is of interest for a range of reasons, such as the health, indoor comfort of dwellers and coping practices. But to date, there have been only a few long-term studies that measure and characterize indoor air temperatures in a rural area. Here, the authors have created a dataset on indoor and outdoor temperatures across rural and urban locations. The indoor and outdoor temperature and humidity measurements were taken in five study locations. Indoor and outdoor temperature measurements were carried out in Yavatmal and Jalna (Maharashtra, India), Delhi (India), Dhaka (Bangladesh) and Faisalabad (Pakistan). Two study sites focused on the rural areas: Yavatmal and Jalna (Maharashtra, India), while Delhi, Dhaka and Faisalabad focused on urban heat exposure. These measurements were used to determine indoor heat exposure in different types of rural and urban settlements. This helped to understand indoor temperature variations in different types of housings across different geographic locations in urban South Asia and for India specifically, provide a rural-urban context. For details on the methodology, please read the related article.
创建时间:
2022-06-02
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