DEAP City Dataset

Main Dataset

city_pollution_data.csv

Relevant Columns:

• Date: Date of the sample
• City: City of the sample
• X_median: Median value of the pollutant/meteorological feature X for the day
• mil_miles: Total vehicle travel distance for the sample
• pp_feat: Calculated feature for the influence of neighboring power plants
• Population Staying at Home: Used a measure of domestic emissions.

Pollutants: PM2.5,PM10,NO2,O3,CO,SO2

Meteorological Features: Temperature,Pressure,Humidity,Dew,Wind Speed,Wind Gust

Power Plant Generation and Location Dataset [Extra]:

pp_gen_data.csv

Relevant Columns:

• Month: Month of the data
• Netgen: Net generation for that month.

If you find the data or code useful in your work, please cite

@inproceedings{ijcai2022p698,
  title     = {Deciphering Environmental Air Pollution with Large Scale City Data},
  author    = {Bhattacharyya, Mayukh and Nag, Sayan and Ghosh, Udita},
  booktitle = {Proceedings of the Thirty-First International Joint Conference on
               Artificial Intelligence, {IJCAI-22}},
  publisher = {International Joint Conferences on Artificial Intelligence Organization},
  year      = {2022},
}