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CO2_monitoring_data

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DataCite Commons2025-06-13 更新2025-09-08 收录
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CO<sub>2</sub> monitoring networks with low-cost and medium-precision sensors (LCSs) have become an exploratory direction for CO<sub>2</sub> observation under complex emission conditions in cities. Yet the performance of such LCS after deployment in the field faces significant challenges due to environmental impacts and long-term drifts due to sensor degradation. We conducted 30 months of co-located observations using SenseAir K30, with a reference instrument (Picarro) to study the long-term performance of the LCSs under field conditions, which is essential for the correction and validation of mid-low cost CO<sub>2</sub> observation networks.The original data used in the research of low-cost CO2 monitoring sensors. The sensors are co-located with a Picarro analyzer from Jun 2022 to Dec 2024. The reference CO2 from Picarro is in the data file 'Picarro_20220620_20241220.xlsx'. The environmental sensitivity corrected results are provided in the file ‘K30_drift_20220601-20241201.xlsx’, without the calibration of long-term drift. The CO2 monitoring concentration is in the file 'K30_1pCalib_20220601-20241201.xlsx’, with environmental correction and drift calibration.

提供机构:
figshare
创建时间:
2025-06-13
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