- df_2023_imputed.csv: main df, all features, missing values (meteorological & target values) imputed
- df_2023_na.csv: main df, all features, w/ missing values
- df_lai_factor.csv: leaf area index for all 8762 time steps
- df_meteorological_impute.csv: only meteorological data, imputed with lsmt, (check methodology)[https://github.com/RiSchmi/MLbased_meteorological_data_imputation]
- df_meteorological_na.csv: only meteorological data, w/ missing data
- df_pollution_2023_berlin_imputed.csv: only NO2 pollution data, + imputed
- df_pollution_2023_berlin_na.csv: all pollutants, w/ missing data
- df_spatial_only.csv: all land-use spatial features (n= 16, for each station)
- df_street_canyon_per_site.csv:
- df_traffic_hours.csv: boolean for main traffic hours for all 8762 time steps