The Healthy Air Dataset: Spatiotemporal air quality forecasting

Published: 19 January 2023| Version 1 | DOI: 10.17632/4dndf537zb.1
Contributor:
Khalid Elbaz

Description

Air quality data were acquired from the Air Quality Monitoring Network consisting of seven air pollution monitoring datasets. The raw data contains means of several recorded data over a period from May to August 2018. The air quality dataset includes hydrogen sulfide (H2S), Sulfur dioxide (SO2), Ozone (O3), Nitrogen Dioxide (NO2), and Carbon Monoxide (CO) in ppm. This dataset can be used for air quality modeling, spatiotemporal analysis, and air quality assessment analysis.

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Categories

Air Pollution, Air Quality, Deep Learning

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