An improved and updated 20-years air pollution exposure dataset for Germany 2003-2022 (APExpose_DE v6)Zenodo

The link between exposure to polluted air and the outcome of diseases (e.g., cardio-vascular diseases, COVID-19) has been established. Nevertheless, research on the quantification of the relationship is still relevant today. Quantifying the link between the ambient atmospheric concentrations of poll...

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Main Authors: Alexandre Caseiro, Erika von Schneidemesser
Format: Article
Language:English
Published: Elsevier 2025-08-01
Series:Data in Brief
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340925005608
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author Alexandre Caseiro
Erika von Schneidemesser
author_facet Alexandre Caseiro
Erika von Schneidemesser
author_sort Alexandre Caseiro
collection DOAJ
description The link between exposure to polluted air and the outcome of diseases (e.g., cardio-vascular diseases, COVID-19) has been established. Nevertheless, research on the quantification of the relationship is still relevant today. Quantifying the link between the ambient atmospheric concentrations of pollutants and the outcome of diseases requires knowledge on the levels of the pollutants through time at various scales. In the present work, an improved and updated version of the APExpose_DE dataset is described. The dataset provides air pollution metrics at the yearly time resolution and at the spatial resolution of the NUTS-3 level, corresponding to the Landkeis/Kreisfreie Stadt in Germany. The dataset evolved from its initial form by expanding the years covered and by refining the gap-filling methodology. The dataset can serve as input to, e.g., observational studies.
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spelling doaj-art-26d25f9880c14bdba4bcd88e489d8b3b2025-08-20T02:59:57ZengElsevierData in Brief2352-34092025-08-016111183310.1016/j.dib.2025.111833An improved and updated 20-years air pollution exposure dataset for Germany 2003-2022 (APExpose_DE v6)ZenodoAlexandre Caseiro0Erika von Schneidemesser1Corresponding author.; RIFS Research Institute for Sustainability at GFZ, GermanyRIFS Research Institute for Sustainability at GFZ, GermanyThe link between exposure to polluted air and the outcome of diseases (e.g., cardio-vascular diseases, COVID-19) has been established. Nevertheless, research on the quantification of the relationship is still relevant today. Quantifying the link between the ambient atmospheric concentrations of pollutants and the outcome of diseases requires knowledge on the levels of the pollutants through time at various scales. In the present work, an improved and updated version of the APExpose_DE dataset is described. The dataset provides air pollution metrics at the yearly time resolution and at the spatial resolution of the NUTS-3 level, corresponding to the Landkeis/Kreisfreie Stadt in Germany. The dataset evolved from its initial form by expanding the years covered and by refining the gap-filling methodology. The dataset can serve as input to, e.g., observational studies.http://www.sciencedirect.com/science/article/pii/S2352340925005608Air qualityExposureHealthGermany
spellingShingle Alexandre Caseiro
Erika von Schneidemesser
An improved and updated 20-years air pollution exposure dataset for Germany 2003-2022 (APExpose_DE v6)Zenodo
Data in Brief
Air quality
Exposure
Health
Germany
title An improved and updated 20-years air pollution exposure dataset for Germany 2003-2022 (APExpose_DE v6)Zenodo
title_full An improved and updated 20-years air pollution exposure dataset for Germany 2003-2022 (APExpose_DE v6)Zenodo
title_fullStr An improved and updated 20-years air pollution exposure dataset for Germany 2003-2022 (APExpose_DE v6)Zenodo
title_full_unstemmed An improved and updated 20-years air pollution exposure dataset for Germany 2003-2022 (APExpose_DE v6)Zenodo
title_short An improved and updated 20-years air pollution exposure dataset for Germany 2003-2022 (APExpose_DE v6)Zenodo
title_sort improved and updated 20 years air pollution exposure dataset for germany 2003 2022 apexpose de v6 zenodo
topic Air quality
Exposure
Health
Germany
url http://www.sciencedirect.com/science/article/pii/S2352340925005608
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