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 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).
Author: | Markus Fritsch |
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URN: | urn:nbn:de:bvb:739-opus4-10086 |
DOI: | https://doi.org/10.1016/j.dib.2021.107324 |
Parent Title (English): | Data in Brief |
Document Type: | Article |
Language: | English |
Year of Completion: | 2021 |
Year of Completion: | 2021 |
Date of first Publication: | 2021/08/26 |
Publishing Institution: | Universität Passau |
Release Date: | 2022/05/27 |
Tag: | Air pollution; Corine land cover; EEA air quality data; Nitrogen dioxide |
Article Number: | 107324 |
Page Number: | 9 Seiten |
Source: | Data in Brief 38 (2021) 107324 |
Institutes: | Wirtschaftswissenschaftliche Fakultät |
Dewey Decimal Classification: | 3 Sozialwissenschaften / 33 Wirtschaft / 330 Wirtschaft |
open_access (DINI-Set): | open_access |
Funding Acknowledgement: | Gefördert durch den Open-Access-Publikationsfonds der Universitätsbibliothek Passau. |
Licence (German): | Creative Commons - CC BY - Namensnennung 4.0 International |