- Title
- 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
- Creator
- Barbieri, Diego; Lou, Baowen; Passavanti, Marco; Hui, Cang; Lessa, Daniela; Maharaj, Brij; Banerjee, Arunabha; Wang, Fusong; Chang, Kevin; Naik, Bhaven; Yu, Lei; Liu, Zhuangzhuang; Sikka, Gaurav; Tucker, Andrew; Mirhosseini, Ali; Naseri, Sahra; Qiao, Yaning; Gupta, Akshay; Abbas, Montasir; Fang, Kevin; Ghasemi, Navid; Peprah, Prince; Goswami, Shubham; Hessami, Amir; Agarwal, Nithin; Lam, Louisa; Adomako, Solomon
- Date
- 2020
- Type
- Text; Journal article; Data article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/173696
- Identifier
- vital:14701
- Identifier
-
https://doi.org/10.1016/j.dib.2020.106169
- Identifier
- ISBN:2352-3409 (ISSN)
- 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)
- Publisher
- Elsevier Inc.
- Relation
- Data in Brief Vol. 32, (2020)
- Rights
- http://creativecommons.org/licenses/by/4.0/
- Rights
- Copyright © 2020 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license.
- Rights
- Open Access
- Rights
- This metadata is freely available under a CCO license
- Subject
- MD Multidisciplinary; Air quality; COVID-19; Environmental pollution; Psychometric perception; Survey data
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