DEAP City Dataset
[comment]:<> (Data for the paper "Deciphering Environmental Air Pollution with Large Scale City Data") ## 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}, }