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UK daily meteorology, air quality, and pollen measurements for 2016–2019, with estimates for missing data

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...

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Autores principales: Reani, Manuele, Lowe, Douglas, Gledson, Ann, Topping, David, Jay, Caroline
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8828887/
https://www.ncbi.nlm.nih.gov/pubmed/35140222
http://dx.doi.org/10.1038/s41597-022-01135-6
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author Reani, Manuele
Lowe, Douglas
Gledson, Ann
Topping, David
Jay, Caroline
author_facet Reani, Manuele
Lowe, Douglas
Gledson, Ann
Topping, David
Jay, Caroline
author_sort Reani, Manuele
collection PubMed
description 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.
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spelling pubmed-88288872022-02-24 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 Sci Data Data Descriptor 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. Nature Publishing Group UK 2022-02-09 /pmc/articles/PMC8828887/ /pubmed/35140222 http://dx.doi.org/10.1038/s41597-022-01135-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) applies to the metadata files associated with this article.
spellingShingle Data Descriptor
Reani, Manuele
Lowe, Douglas
Gledson, Ann
Topping, David
Jay, Caroline
UK daily meteorology, air quality, and pollen measurements for 2016–2019, with estimates for missing data
title UK daily meteorology, air quality, and pollen measurements for 2016–2019, with estimates for missing data
title_full UK daily meteorology, air quality, and pollen measurements for 2016–2019, with estimates for missing data
title_fullStr UK daily meteorology, air quality, and pollen measurements for 2016–2019, with estimates for missing data
title_full_unstemmed UK daily meteorology, air quality, and pollen measurements for 2016–2019, with estimates for missing data
title_short UK daily meteorology, air quality, and pollen measurements for 2016–2019, with estimates for missing data
title_sort uk daily meteorology, air quality, and pollen measurements for 2016–2019, with estimates for missing data
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8828887/
https://www.ncbi.nlm.nih.gov/pubmed/35140222
http://dx.doi.org/10.1038/s41597-022-01135-6
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