Published July 18, 2023 | Version v1

Dataset for "Calibration of CAMS PM2.5 data over Hungary: A machine learning approach"

  • 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.

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