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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
Descripción
Sumario: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).