Supplemental material for "Using synthetic data to benchmark correction methods for low-cost air quality sensor networks"

Name: Supplemental material for "Using synthetic data to benchmark correction methods for low-cost air quality sensor networks"
Creator: National Institute for Public Health and the Environment
Published: 2025-04-29 06:06:29
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DataCite Commons2025-04-29 更新2025-05-18 收录

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<div>Data used in the analysis described in the article:</div> <div> </div> <div>Joost Wesseling, Derko Drukker, Alicia Gressent, Stijn Janssen, Pascal Joassin, Fabian Lenartz, Sjoerd van Ratingen, Vera Rodrigues, Jorge Sousa and Philippe Thunis, "Using synthetic data to benchmark correction methods for low-cost air quality sensor networks", Air Qual Atmos Health 17, 979–996 (2024). https://doi.org/10.1007/s11869-023-01493-z</div> <div> </div> <div>https://link.springer.com/article/10.1007/s11869-023-01493-z</div> <div> </div> <div>There are 3 data files:</div> <div>Sensor_calibration_03jan23_rivm.txt</div> <div>IDE Name X Y Ssen SREF CALIB USE</div> <div>10101 LTD_55959 178518.0 361683.0 0.1 0.5 0.200 -9</div> <div>10101 LTD_53114 198449.0 350021.0 0.2 0.5 0.700 -9</div> <div>...</div> <div> </div> <div>meaning of columns:</div> <div>IDE: numerical id of record, 1DDHH, DD is day in Jan 2023, HH is hour of day</div> <div>Name: name of sensor</div> <div>X,Y: coordinates of sensor in Dutch coordinates (EPSG 28992)</div> <div>Ssen: synthetic sensor value in microgram/m3</div> <div>SREF: synthetic REAL value in microgram/m3</div> <div>CALIB: calibrated sensor value in microgram/m3</div> <div>USE: Use this sensor in calibration strategy, >-9 is usable (RIVM only)</div> <div> </div> <div>Note that not all parties provided calibrated values for all sensors.</div> <div>As a result, the number of data entries varies. This is described in the article.</div> <div> </div> <div> </div> <div>Sensor_calibration_06jan23_ineris.txt</div> <div>IDE Name X Y Ssen SREF CALIB USE</div> <div>10101 AMF_pm001 154191 468439 293.7 135.7 NA -9</div> <div>10101 AMF_pm002 258398 557611 65.5 138.8 67.64012823 0</div> <div>...</div> <div> </div> <div>Parameters as in RIVM data set</div> <div> </div> <div>Sensor_calibration_17jan23_issep.txt</div> <div>Name;IDE;SREF;Ssen;CALIB</div> <div>AMF_pm002;12809;7.2;4.4;3.576</div> <div>AMF_pm002;12506;28.8;42.8;35.773</div> <div>...</div> <div> </div> <div>Parameters as in RIVM data set</div> <div> </div>

提供机构：

National Institute for Public Health and the Environment

创建时间：

2025-04-29