Data and Scripts associated with: “Laboratory evaluation of open source and commercial electrical conductivity sensor precision and accuracy”

This data package is associated with the publication “Laboratory evaluation of open source and commercial electrical conductivity sensor precision and accuracy: How do they compare?” submitted to PLOS ONE and accepted for publication (Fulton, S.G. et al. 2023; doi not yet available). Variation in electrical conductivity (EC) of water is important to reveal environmental disturbance and natural dynamics, including factors such as anthropogenic salinization. This data package supports a study addressing the need for a robust performance assessment of open source (OS) EC sensors. We evaluated the accuracy (mean error, %) and precision (sample standard deviation) of OS EC sensors in the laboratory via comparison to EC calibration standards using three different OS and OS/commercial-hybrid (OS/C) EC sensors and data logger configurations and two commercial (C) EC sensors and data logger configurations. We also evaluated the effect of cable length (7.5 m and 30 m) and sensor calibration on OS sensor accuracy and precision. This data package presents the results from the different testing laboratory configurations. It also includes an R script for statistical analysis of the data and an Arduino IDE file used to calibrate and collect data with the OS Atlas EC sensor. File types are .csv, .pdf, .R, and .ino.本数据包关联于已投稿并被《公共科学图书馆·综合》（PLOS ONE）接收待刊的论文《开源与商用电导传感器精度与准确度的实验室评估：二者性能对比如何？》（Fulton, S.G.等，2023；DOI尚未公开）。水体电导率（electrical conductivity, EC）的变化对于揭示环境扰动与自然动态至关重要，涵盖人为盐渍化等相关影响因素。本数据包支撑一项针对开源（open source, OS）电导传感器开展可靠性能评估的研究。研究团队通过将三种不同开源（OS）及开源-商用混合（OS/commercial-hybrid, OS/C）电导传感器与数据记录仪配置、两款商用（commercial, C）电导传感器与数据记录仪配置的实测结果与EC校准标准进行比对，在实验室环境下评估了开源EC传感器的准确度（平均误差，%）与精密度（样本标准差）。此外，本研究还探究了线缆长度（7.5米与30米）以及传感器校准操作对开源传感器准确度与精密度的影响。本数据包呈现了不同实验室测试配置下的全部实验结果，同时附带用于数据统计分析的R脚本，以及用于校准并采集开源Atlas EC传感器数据的Arduino集成开发环境（Arduino IDE）文件。本次数据包包含的文件格式包括.csv、.pdf、.R及.ino。