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Assessment of a portable UV–Vis spectrophotometer's performance in remote areas: Stream water DOC, Fe content and spectral data

机译:评估便携式UV-VIS分光光度计在偏远地区的性能:流水DOC,FE CONTED和SPICTRAL数据

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This paper presents data for the assessment of a portable UV-Vis spectrophotometer's performance on predicting stream water DOC and Fe content. The dataset contains DOC and Fe concentrations by laboratory methods, in-situ and ex-situ spectral absorbances, monitoring environmental indexes such as water depth, temperature, turbidity and voltage. The records in Yli-Nuortti river (Cold station, Finland) took place during the hydrological year 2018-2019 and in Krycklan (C4 and C5, Sweden) during the hydrological years 2016-2019. The data analyses were conducted with ‘pls’ and ‘caret’ package in R. The correlation coefficient (R), root-mean-square deviation (RMSD), standard deviation (STD) and bias were used to check the performance of the models. This dataset can be combined with datasets from other regions around the world to build more universal models. For discussion and more information of the dataset creation, please refer to the full-length article “Assessment of a portable UV–Vis spectrophotometer's performance for stream water DOC and Fe content monitoring in remote areas” .
机译:本文介绍了评估便携式UV-Vis分光光度计对预测流水DOC和Fe含量的性能的数据。 DataSet通过实验室方法,原位和前型光谱吸收,监测水深,温度,浊度和电压等环境指标的DOC和Fe浓度。在2018 - 2019年水文学年,在2018 - 2019年水文年和Krycklan(C4和C5,瑞典)期间发生了Yli-Nuortti River(Cold Station,Finland)的记录。数据分析是在R中的“PLS”和“插图”包进行的。相关系数(R),根均方偏差(RMSD),标准偏差(STD)和偏置,用于检查模型的性能。此数据集可以与来自世界各地的其他地区的数据集组合,以构建更多普遍的模型。有关数据集创建的讨论和更多信息,请参阅全长文章“评估便携式UV-VIS分光光度计在偏远地区流水DOC和FE Con​​tent监控的性能”。

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