Datasets used in Detecting Plumes in Mobile Air Quality Monitoring Time Series with Density-based Spatial Clustering of Applications with Noise v01

This repository contains the following data sets related to Detecting Plumes in Mobile Air Quality Monitoring Time Series with DBSCAN published in . Please cite the following: . Validated_Data.csv: A .csv file containing the validation set used in the study. Column headings are the following: "Lat1": GPS latitude of car location in degrees. "Long1": GPS longitude of car location in degrees. "LST": Measurement time stamp. Time zone US/Central. "BC": Black carbon measurements in ng/m^3 "CO2": Carbon dioxide measurements in ppm. "UFP": Ultrafine particle count in particles/cc. "NOx": Oxides of nitrogen, defined as the sum of NO and NO2, in ppb. "Anomaly": What has been manually flagged as "Anomaly" (2) or "Normal" (1). "Uniq_Fac": Factor from 1-30 mapping to different days of the campaign. For example, all measurements with Uniq_Fac = 1 belong to the same day. Labeled_DBSCAN_Anomalies.csv: A .csv file containing points labeled as anomalies by the DBSCAN algorithm described in the manuscript. Columns are the following. "BC": Black carbon measurement (ng/m^3) "CO2": Carbon dioxide measurement (ppm) "NOx": Oxides of nitrogen, defined as the sum of NO and NO2 (ppb) "UFP": Ultrafine particle count (p/cc) "Anomaly": Whether the DBSCAN algorithm has labeled this point as "Anomaly" (2) or "Normal" (1) "Uniq_Fac": Factor spanning from 1-277 grouping measurements taken on separate days by car. E.g. all measurements with Uniq_Fac=1 were grouped and analyzed together. "LST": Timestamp (US/Central) "Road_Class": TigerLINE census road class designation for the given point. Possible road classes are S1100 - Primary Road, S1200 - Secondary Road, S1400 - Local Road, S1630 - Ramps, S1640 - Service Drives, S1730 - Private Roads "X": Universal Transverse Mercator Easting for Zone 15N (m). "Y": Universal Transverse Mercator Northing for Zone 15N (m). *_To_Be_Validated.csv: A series of files where * denotes the following. "DB": DBSCAN Algorithm "QOR": QOR Algorithm "QAND": QAND Algorithm "Drew": Drewnick Algorithm Each file contains the following columns: "Lat1": GPS latitude of car location in degrees. "Long1": GPS longitude of car location in degrees. "LST": Measurement time stamp. Time zone US/Central. "BC": Black carbon measurements in ng/m^3 "CO2": Carbon dioxide measurements in ppm. "UFP": Ultrafine particle count in particles/cc. "NOx": Oxides of nitrogen, defined as the sum of NO and NO2, in ppb. "Anomaly": What has been flagged as "Anomaly" (2) or "Normal" (1). "Uniq_Fac": Factor from 1-30 mapping to different days of the campaign. For example, all measurements with Uniq_Fac = 1 belong to the same day