Low-cost sensor data for data weighting
Description
Uncalibrated and calibrated sensor data used in Frischmon, et. al. "Improving the quantification of peak concentrations for air quality sensors via data weighting." Atmospheric Measurement Techniques, 2025. The uncalibrated data contains all sensor inputs used to build the calibration models. The calibrated data contains the concentrations predicted from the calibration models. Please note the data was time-averaged (median) to 1-hour intervals prior to publication. The first hour of data collection was also removed prior to publication, as the metal oxide sensors require a warm-up period to reach operating temperatures. File name key: MLR: multiple linear regression model predictions randomforest: Random forest model predictions pw#: piecewise, with a percentile cut-off point at the #th percentile offset#: sigmoidal weighting with a z-scored offset of # Units: CH4 concentration- ppm TVOC concentration- ppb CO concentration- ppm Uncalibrated sensor data does not have units, as it is an uncalibrated sensor signal.