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datasets for KDD24 Self-consistent Deep Geometric Learning for Heterogeneous Multi-source Spatial Point Data Prediction

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+ 'precipitation' 'air_temperature_max' 'wind_direction' 'solar_radiation'
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+ 'relative_humidity_min' 'wind_speed' 'elevation' 'CO' 'NH3' 'NOX' 'SO2'
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+ 'VOC' 'PM25-PRI' 'PM10-PRI' 'population_density_county' 'open_water'
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+ 'developed' 'bareRock_sand_clay' 'd_forest' 'e_forest' 'm_forest' 'shrub'
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+ 'grassland' 'pasture' 'crops' 'w_wetlands' 'eh_wetlands' 'cmaq'
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+ 'Latitude' 'Longitude']
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+ 'relative_humidity_min' 'wind_speed' 'elevation' 'CO' 'NH3' 'NOX' 'SO2'
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+ 'VOC' 'PM25-PRI' 'PM10-PRI' 'population_density_county' 'open_water'
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+ 'developed' 'bareRock_sand_clay' 'd_forest' 'e_forest' 'm_forest' 'shrub'
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+ 'grassland' 'pasture' 'crops' 'w_wetlands' 'eh_wetlands' 'cmaq'
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+ 'Latitude' 'Longitude']
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