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Data for modeling nitrogen dioxide concentration levels across Germany

The described secondary data provide a comprehensive basis for modeling conditional mean nitrogen dioxide (NO(2)) concentration levels across Germany. Besides concentration levels, meta data on monitoring sites from the German air quality monitoring network, geocoordinates, altitudes, and data on la...

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Detalles Bibliográficos
Autores principales: Fritsch, Markus, Behm, Svenia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8411209/
https://www.ncbi.nlm.nih.gov/pubmed/34504911
http://dx.doi.org/10.1016/j.dib.2021.107324
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author Fritsch, Markus
Behm, Svenia
author_facet Fritsch, Markus
Behm, Svenia
author_sort Fritsch, Markus
collection PubMed
description The described secondary data provide a comprehensive basis for modeling conditional mean nitrogen dioxide (NO(2)) concentration levels across Germany. Besides concentration levels, meta data on monitoring sites from the German air quality monitoring network, geocoordinates, altitudes, and data on land use and road lengths for different types of roads are provided. The data are based on a grid of resolution 1 × 1 km, which is also included. The underlying raw data are open access and were retrieved from different sources. The statistical software R was used for (pre-)processing the data and all codes are provided in an online repository. The data were employed for modeling mean annual NO(2) concentration levels in the paper “Agglomeration and infrastructure effects in land use regression models for air pollution – Specification, estimation, and interpretations” by Fritsch and Behm (2021).
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spelling pubmed-84112092021-09-08 Data for modeling nitrogen dioxide concentration levels across Germany Fritsch, Markus Behm, Svenia Data Brief Data Article The described secondary data provide a comprehensive basis for modeling conditional mean nitrogen dioxide (NO(2)) concentration levels across Germany. Besides concentration levels, meta data on monitoring sites from the German air quality monitoring network, geocoordinates, altitudes, and data on land use and road lengths for different types of roads are provided. The data are based on a grid of resolution 1 × 1 km, which is also included. The underlying raw data are open access and were retrieved from different sources. The statistical software R was used for (pre-)processing the data and all codes are provided in an online repository. The data were employed for modeling mean annual NO(2) concentration levels in the paper “Agglomeration and infrastructure effects in land use regression models for air pollution – Specification, estimation, and interpretations” by Fritsch and Behm (2021). Elsevier 2021-08-26 /pmc/articles/PMC8411209/ /pubmed/34504911 http://dx.doi.org/10.1016/j.dib.2021.107324 Text en © 2021 The Authors. Published by Elsevier Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Fritsch, Markus
Behm, Svenia
Data for modeling nitrogen dioxide concentration levels across Germany
title Data for modeling nitrogen dioxide concentration levels across Germany
title_full Data for modeling nitrogen dioxide concentration levels across Germany
title_fullStr Data for modeling nitrogen dioxide concentration levels across Germany
title_full_unstemmed Data for modeling nitrogen dioxide concentration levels across Germany
title_short Data for modeling nitrogen dioxide concentration levels across Germany
title_sort data for modeling nitrogen dioxide concentration levels across germany
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8411209/
https://www.ncbi.nlm.nih.gov/pubmed/34504911
http://dx.doi.org/10.1016/j.dib.2021.107324
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