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UK daily meteorology, air quality, and pollen measurements for 2016-2019, with estimates for missing data.
Reani, Manuele; Lowe, Douglas; Gledson, Ann; Topping, David; Jay, Caroline.
Affiliation
  • Reani M; School of Management and Economics, The Chinese University of Hong Kong, Shenzhen, China.
  • Lowe D; Department of Computer Science, University of Manchester, Manchester, UK.
  • Gledson A; Research IT, University of Manchester, Manchester, UK. douglas.lowe@manchester.ac.uk.
  • Topping D; Research IT, University of Manchester, Manchester, UK.
  • Jay C; Department of Earth and Environmental Sciences, University of Manchester, Manchester, UK.
Sci Data ; 9(1): 43, 2022 02 09.
Article in En | MEDLINE | ID: mdl-35140222
In recent years, quantifying the impacts of detrimental air quality has become a global priority for researchers and policy makers. At present, the systems and methodologies supporting the collection and manipulation of this data are difficult to access. To support studies quantifying the interplay between common gaseous and particulate pollutants with meteorology and biological particles, this paper presents a comprehensive data-set containing daily air quality readings from the Automatic Urban and Rural Network, and pollen and weather data from Met Office monitoring stations, in the years 2016 to 2019 inclusive, for the United Kingdom. We describe (1) the sources from which the data were collected, (2) the methods used for the data cleaning process and (3) how issues related to missing values and sparse regional coverage were addressed. The resulting data-set is designed to be used 'as is' by those using air quality data for research; we also describe and provide open access to the methods used for curating the data to allow modification of or addition to the data-set.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pollen / Air Pollutants / Air Pollution Country/Region as subject: Europa Language: En Journal: Sci Data Year: 2022 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pollen / Air Pollutants / Air Pollution Country/Region as subject: Europa Language: En Journal: Sci Data Year: 2022 Document type: Article Affiliation country: Country of publication: