{"url":"/dataset/deap-city-dataset","name":"DEAP City Dataset","full_name":null,"description_markdown":"[comment]:<> (Data for the paper \"Deciphering Environmental Air Pollution with Large Scale City Data\")\r\n\r\n## Main Dataset\r\n`city_pollution_data.csv`\r\n\r\nRelevant Columns:\r\n\r\n* `Date`: Date of the sample\r\n* `City`: City of the sample\r\n* `X_median`: Median value of the pollutant/meteorological feature X for the day \r\n* `mil_miles`: Total vehicle travel distance for the sample\r\n* `pp_feat`: Calculated feature for the influence of neighboring power plants\r\n* `Population Staying at Home`: Used a measure of domestic emissions.\r\n\r\n**Pollutants**:\r\n`PM2.5`,`PM10`,`NO2`,`O3`,`CO`,`SO2`\r\n\r\n**Meteorological Features**:\r\n`Temperature`,`Pressure`,`Humidity`,`Dew`,`Wind Speed`,`Wind Gust`\r\n\r\n    \r\n## Power Plant Generation and Location Dataset [Extra]:\r\n`pp_gen_data.csv`\r\n\r\nRelevant Columns:\r\n\r\n* `Month`: Month of the data\r\n* `Netgen`: Net generation for that month.\r\n\r\nIf you find the data or code useful in your work, please cite\r\n```\r\n@inproceedings{ijcai2022p698,\r\n  title     = {Deciphering Environmental Air Pollution with Large Scale City Data},\r\n  author    = {Bhattacharyya, Mayukh and Nag, Sayan and Ghosh, Udita},\r\n  booktitle = {Proceedings of the Thirty-First International Joint Conference on\r\n               Artificial Intelligence, {IJCAI-22}},\r\n  publisher = {International Joint Conferences on Artificial Intelligence Organization},\r\n  year      = {2022},\r\n}\r\n```","description_withheld":null,"homepage":"https://github.com/mayukh18/DEAP/","introduced_date":"2021-09-09","introduced_date_note":null,"introduced_by":{"paper":"/paper/deciphering-environmental-air-pollution-with","title":"Deciphering Environmental Air Pollution with Large Scale City Data","first_author":"Mayukh Bhattacharyya","url":null},"license":null,"modalities":[{"name":"Graphs","url":"/datasets/modality/graphs"},{"name":"Tabular","url":"/datasets/modality/tabular"},{"name":"Environment","url":"/datasets/modality/environment"},{"name":"Time series","url":"/datasets/modality/time-series"}],"tasks":[{"name":"Air Pollution Prediction","url":"/task/air-pollution-prediction","datasets_with_task":"/datasets/task/air-pollution-prediction"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["DEAP City Dataset"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}