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APExpose_DE, an air quality exposure dataset for Germany 2010-2019.
Caseiro, Alexandre; von Schneidemesser, Erika.
  • Caseiro A; Institute for Advanced Sustainability Studies, Potsdam, Germany. alexandre.caseiro@iass-potsdam.de.
  • von Schneidemesser E; Institute for Advanced Sustainability Studies, Potsdam, Germany.
Sci Data ; 8(1): 287, 2021 10 28.
Article in English | MEDLINE | ID: covidwho-1493154
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).
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Air Pollution / Environmental Exposure Type of study: Observational study / Prognostic study Limits: Humans Country/Region as subject: Europa Language: English Journal: Sci Data Year: 2021 Document Type: Article Affiliation country: S41597-021-01068-6

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Air Pollution / Environmental Exposure Type of study: Observational study / Prognostic study Limits: Humans Country/Region as subject: Europa Language: English Journal: Sci Data Year: 2021 Document Type: Article Affiliation country: S41597-021-01068-6