Ozone low-cost mobile sensor data from Riverside, CA 2015

In the summer of 2015, a field campaign was conducted in Riverside, CA with 13 UPods (made by the Hannigan group at the University of Colorado, Boulder). These are sensor platforms that (in this case) measured ambient ozone for about three months from July to October. Data is in concentration, ppb.These data provide support for a manuscript out for publication.

This data set is has been filtered for various values, and is the result of applying a linear regression between the sensor signal (in volts), and reference stations operated by South Coast Air Quality Management. The codes required to bring the data from the raw files to this finished file are not included.

These files include a README for more information, two forms (.mat and .csv) of the dataset, three codes constructed in MATLAB that will enable the user to re-create plots that are used in the manuscript, reference data, and supporting files.

NOTES: the code boxplot_pwhisker was not created by me, it belongs to Levi Golston https://www.mathworks.com/matlabcentral/profile/authors/4592117-levi-golston. Also, the reference data is from South Coast Air Quality Monitoring district (for NO, NO2, and O3). This data is preliminary and has not undergone typical quality assurance and quality control methods they use. They also did not operate the instrument that collected the CO2 data.

于2015年夏季，在美国加利福尼亚州里弗赛德市开展了一项实地调查，共使用13台由科罗拉多大学博尔德分校汉尼根研究组制造的UPods（UPods由科罗拉多大学博尔德分校汉尼根研究组研发）。这些传感器平台（在本例中）测量了从七月到十月约三个月的近环境臭氧浓度。数据以浓度形式呈现，单位为ppb。这些数据为即将发表的论文提供了支持。

本数据集已针对多种数值进行了筛选，并通过对传感器信号（以伏特为单位）与由南海岸空气质量管理局运营的参考站之间进行线性回归分析而得出。将原始数据文件转换为最终文件所需的代码未包含在内。

这些文件包含一个README文件，提供更多信息，以及两种数据集格式（.mat和.csv），以及三个用MATLAB编写的代码，使用户能够重新创建论文中使用的图表、参考数据和辅助文件。

注意事项：代码boxplot_pwhisker并非由我创建，它属于Levi Golston（https://www.mathworks.com/matlabcentral/profile/authors/4592117-levi-golston）。此外，参考数据来自南海岸空气质量监测区（NO、NO2和O3）。这些数据为初步数据，尚未经过典型的质量保证和质量控制方法。他们也没有操作收集二氧化碳数据的仪器。