The experimental data characterizing the standard gas mixtures of volatile organic compounds using the AirCore-Vocus system, as well as the data from the demonstration application of this system.

This dataset includes all the data from the figures in the article titled A New Methodology for High Spatio-Temporal Resolution Measurements of Air Volatile Organic Compounds: from Sampling to Data Deconvolution, presented in Excel format, as well as the raw measurement data for Figures S2 and S5–S7, presented in Igor file format.
Specifically, we combined the AirCore and a Vocus proton-transfer-reaction mass spectrometry (PTR-MS) into a system to collect and measure volatile organic compounds (VOCs) in the atmosphere. The measurement capability of this system was enhanced by integrating a deconvolution algorithm. A demonstration measurement was conducted to verify the availability of the system. Therefore, our dataset consists of four main parts.
The first part includes detailed characterization experiments data of the AirCore-Vocus combined sampling-analysis system. This characterization data primarily covers three aspects: Data on optimizing the sampling flow rate, desorption flow rate, and holding time. Data evaluating the detection limits and resolution capabilities of the system under optimized conditions. Data assessing the impact of temperature and relative humidity on the system's performance.
The second part contains data on the impulse response function of each VOC standard mix used for deconvolution, measured by the AirCore-Vocus system.
The third part includes data from tests are conducted that simulate VOCs in actual ambient air parcels to validate the deconvolution algorithm.
The fourth part provides data from demonstration measurements conducted by deploying the AirCore-Vocus system on an unmanned aerial vehicle.