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Machine LearningUrban Air Quality Prediction
The MIL‑QUALAIR dataset was constructed for predicting urban air pollution in the Milan metropolitan area. It includes Sentinel‑5P satellite observations, meteorological conditions, terrain features, and ground‑station measurements. The dataset spans 2018‑2023 and supports prediction of five major pollutants: PM10, PM2.5, NO2, O3, and SO2. It was compiled by the LINKS Foundation, funded by the UP2030 project, and released under the MIT license.
Source hugging_faceUpdated May 31, 2024116 viewsLinked
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