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Survey data regarding perceived air quality in Australia, Brazil, China, Ghana, India, Iran, Italy, Norway, South Africa, United States before and during Covid-19 restrictions

Barbieri, DM and Lou, B and Passavanti, M and Hui, C and Lessa, DA and Maharaj, B and Banerjee, A and Wang, F and Chang, K and Naik, B and Yu, L and Liu, Z and Sikka, G and Tucker, A and Mirhosseini, AF and Naseri, S and Qiao, Y and Gupta, A and Abbas, M and Fang, K and Ghasemi, N and Peprah, P and Goswami, S and Hessami, A and Agarwal, N and Lam, L and Adomako, S (2020) Survey data regarding perceived air quality in Australia, Brazil, China, Ghana, India, Iran, Italy, Norway, South Africa, United States before and during Covid-19 restrictions. In: Data in Brief, 32 .

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Official URL: https://dx.doi.org/10.1016/j.dib.2020.106169

Abstract

The dataset deals with the air quality perceived by citizens before and during the enforcement of COVID-19 restrictions in ten countries around the world: Australia, Brazil, China, Ghana, India, Iran, Italy, Norway, South Africa and the United States. An online survey conveniently translated into Chinese, English, Italian, Norwegian, Persian, Portuguese collected information regarding the perceived quality of air pollution according to a Likert scale. The questionnaire was distributed between 11-05-2020 and 31-05-2020 and 9 394 respondents took part. Both the survey and the dataset (stored in a Microsoft Excel Worksheet) are available in a public repository. The collected data offer the people's subjective perspectives related to the objective improvement in air quality occurred during the COVID-19 restrictions. Furthermore, the dataset can be used for research studies involving the reduction in air pollution as experienced, to a different extent, by populations of all the ten countries. © 2020 The Author(s)

Item Type: Journal Article
Publication: Data in Brief
Publisher: Elsevier Ltd
Additional Information: The copyright of this article belongs to Elsevier Ltd
Department/Centre: Division of Mechanical Sciences > Civil Engineering
Date Deposited: 31 Aug 2020 07:41
Last Modified: 31 Aug 2020 07:41
URI: http://eprints.iisc.ac.in/id/eprint/66413

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