Data for modeling nitrogen dioxide concentration levels across Germany

The described secondary data provide a comprehensive basis for modeling conditional mean nitrogen dioxide (NO2) 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...

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Main Authors: Markus Fritsch, Svenia Behm
Format: Article
Language:English
Published: Elsevier 2021-10-01
Series:Data in Brief
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340921006089
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spelling doaj-9bfcdbd29c08493781b6e468a5a390ce2021-09-01T04:21:26ZengElsevierData in Brief2352-34092021-10-0138107324Data for modeling nitrogen dioxide concentration levels across GermanyMarkus Fritsch0Svenia Behm1Corresponding author.; Chair of Statistics and Data Analytics, University of Passau, GermanyChair of Statistics and Data Analytics, University of Passau, GermanyThe described secondary data provide a comprehensive basis for modeling conditional mean nitrogen dioxide (NO2) 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 NO2 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).http://www.sciencedirect.com/science/article/pii/S2352340921006089Air pollutionNitrogen dioxideCorine land coverEEA air quality data
collection DOAJ
language English
format Article
sources DOAJ
author Markus Fritsch
Svenia Behm
spellingShingle Markus Fritsch
Svenia Behm
Data for modeling nitrogen dioxide concentration levels across Germany
Data in Brief
Air pollution
Nitrogen dioxide
Corine land cover
EEA air quality data
author_facet Markus Fritsch
Svenia Behm
author_sort Markus Fritsch
title Data for modeling nitrogen dioxide concentration levels across Germany
title_short 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_sort data for modeling nitrogen dioxide concentration levels across germany
publisher Elsevier
series Data in Brief
issn 2352-3409
publishDate 2021-10-01
description The described secondary data provide a comprehensive basis for modeling conditional mean nitrogen dioxide (NO2) 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 NO2 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).
topic Air pollution
Nitrogen dioxide
Corine land cover
EEA air quality data
url http://www.sciencedirect.com/science/article/pii/S2352340921006089
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