APExpose_DE, an air quality exposure dataset for Germany 2010-2019

Sci Data. 2021 Oct 28;8(1):287. doi: 10.1038/s41597-021-01068-6.

Abstract

Exposure to poor air quality is considered a major influence on the occurrence of cardiovascular and respiratory diseases. Air pollution has also been linked to the severity of the effects of epidemics such as COVID-19 caused by the SARS-CoV-2 virus. Epidemiological studies require datasets of the long-term exposure to air pollution. We present the APExpose_DE dataset, a long-term (2010-2019) dataset providing ambient air pollution metrics at yearly time resolution for NO2, NO, O3, PM10 and PM2.5 at the NUTS-3 spatial resolution level for Germany (corresponding to the Landkreis or Kreisfreie Stadt in Germany, 402 in total).

Publication types

  • Dataset
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Air Pollutants / analysis
  • Air Pollution / analysis*
  • COVID-19
  • Environmental Exposure / analysis*
  • Germany
  • Humans
  • Particulate Matter / analysis

Substances

  • Air Pollutants
  • Particulate Matter