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APExpose_DE, an air quality exposure dataset for Germany 2010–2019
Exposure to poor air quality is considered a major influence on the occurrence of cardiovascular and respiratory diseases. Air pollution has also been linked to the severity of the effects of epidemics such as COVID-19 caused by the SARS-CoV-2 virus. Epidemiological studies require datasets of the l...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8553735/ https://www.ncbi.nlm.nih.gov/pubmed/34711854 http://dx.doi.org/10.1038/s41597-021-01068-6 |
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author | Caseiro, Alexandre von Schneidemesser, Erika |
author_facet | Caseiro, Alexandre von Schneidemesser, Erika |
author_sort | Caseiro, Alexandre |
collection | PubMed |
description | Exposure to poor air quality is considered a major influence on the occurrence of cardiovascular and respiratory diseases. Air pollution has also been linked to the severity of the effects of epidemics such as COVID-19 caused by the SARS-CoV-2 virus. Epidemiological studies require datasets of the long-term exposure to air pollution. We present the APExpose_DE dataset, a long-term (2010–2019) dataset providing ambient air pollution metrics at yearly time resolution for NO(2), NO, O(3), PM(10) and PM(2.5) at the NUTS-3 spatial resolution level for Germany (corresponding to the Landkreis or Kreisfreie Stadt in Germany, 402 in total). |
format | Online Article Text |
id | pubmed-8553735 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-85537352021-10-29 APExpose_DE, an air quality exposure dataset for Germany 2010–2019 Caseiro, Alexandre von Schneidemesser, Erika Sci Data Data Descriptor Exposure to poor air quality is considered a major influence on the occurrence of cardiovascular and respiratory diseases. Air pollution has also been linked to the severity of the effects of epidemics such as COVID-19 caused by the SARS-CoV-2 virus. Epidemiological studies require datasets of the long-term exposure to air pollution. We present the APExpose_DE dataset, a long-term (2010–2019) dataset providing ambient air pollution metrics at yearly time resolution for NO(2), NO, O(3), PM(10) and PM(2.5) at the NUTS-3 spatial resolution level for Germany (corresponding to the Landkreis or Kreisfreie Stadt in Germany, 402 in total). Nature Publishing Group UK 2021-10-28 /pmc/articles/PMC8553735/ /pubmed/34711854 http://dx.doi.org/10.1038/s41597-021-01068-6 Text en © The Author(s) 2021 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 Caseiro, Alexandre von Schneidemesser, Erika APExpose_DE, an air quality exposure dataset for Germany 2010–2019 |
title | APExpose_DE, an air quality exposure dataset for Germany 2010–2019 |
title_full | APExpose_DE, an air quality exposure dataset for Germany 2010–2019 |
title_fullStr | APExpose_DE, an air quality exposure dataset for Germany 2010–2019 |
title_full_unstemmed | APExpose_DE, an air quality exposure dataset for Germany 2010–2019 |
title_short | APExpose_DE, an air quality exposure dataset for Germany 2010–2019 |
title_sort | apexpose_de, an air quality exposure dataset for germany 2010–2019 |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8553735/ https://www.ncbi.nlm.nih.gov/pubmed/34711854 http://dx.doi.org/10.1038/s41597-021-01068-6 |
work_keys_str_mv | AT caseiroalexandre apexposedeanairqualityexposuredatasetforgermany20102019 AT vonschneidemessererika apexposedeanairqualityexposuredatasetforgermany20102019 |