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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Bibliographic Details
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
Description
Summary: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).
ISSN:2352-3409