Dataset for "Calibration of CAMS PM2.5 data over Hungary: A machine learning approach"
Authors/Creators
- 1. PhD
- 2. Head of University Laboratory center
- 3. Associate Professor
Description
This study utilized air quality information from eleven particular checking locales arranged all through Hungary. The informational index contains in-situ estimations of particulate matter with a width of 2.5 micrometers or less (PM2.5). Moreover, the dataset incorporates matching PM2.5 gauges from the Copernicus Climate Checking Administration (CAMS) model, which makes it a valuable asset for correlation and adjustment. The dataset incorporates various seasons, considering an exhaustive assessment of PM tainting under different climatic circumstances.
Files
Files
(8.7 MB)
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md5:033496b72c88c4e6c8e3357466b01476
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8.7 MB | Download |