@article{c7f6f48407f44da98851d696c1519c83,
title = "UK daily meteorology, air quality, and pollen measurements for 2016–2019, with estimates for missing data",
abstract = "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 {\textquoteleft}as is{\textquoteright} 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.",
author = "Manuele Reani and Douglas Lowe and Ann Gledson and David Topping and Caroline Jay",
note = "Funding Information: Our thanks to the University of Exeter and Met Office for access to the Medical & Environmental Data Mash-up Infrastructure (MEDMI) database, development of which was funded by Medical Research Council (MRC) and Natural Environment Research Council (NERC) grants. The authors would also like to acknowledge the assistance given by Research IT. Firstly for the use of the Computational Shared Facility at The University of Manchester, which was used for much of the region estimation calculations, and for the EMEP simulations. Secondly we wish to thank Robert Haines who advised on unit testing. The work on this data-set was supported by the Alan Turing Institute grant “Understanding the relationship between human health and the environment”. This work was also supported by the EPSRC UKCRIC Manchester Urban Observatory (University of Manchester) (grant number: EP/P016782/1). Publisher Copyright: {\textcopyright} 2022, The Author(s).",
year = "2022",
month = feb,
day = "9",
doi = "10.1038/s41597-022-01135-6",
language = "English",
volume = "9",
pages = "43",
journal = "Scientific Data",
issn = "2052-4463",
publisher = "Springer Nature",
number = "1",
}