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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2021-10-01
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Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340921006089 |
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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 |
work_keys_str_mv |
AT markusfritsch dataformodelingnitrogendioxideconcentrationlevelsacrossgermany AT sveniabehm dataformodelingnitrogendioxideconcentrationlevelsacrossgermany |
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1721183101631070208 |