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

Xudan Zhu; Liang Chen; Jukka Pumpanen; Markku Keinänen; Hjalmar Laudon; Anne Ojala; Marjo Palviainen; Mikko Kiirikki; Kimmo Neitola; Frank Berninger

doi:10.1016/j.dib.2021.106747

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

Data Brief. 2021 Jan 13:35:106747. doi: 10.1016/j.dib.2021.106747. eCollection 2021 Apr.

Authors

Xudan Zhu¹, Liang Chen¹, Jukka Pumpanen², Markku Keinänen¹, Hjalmar Laudon³, Anne Ojala^{4

5

6}, Marjo Palviainen⁷, Mikko Kiirikki⁸, Kimmo Neitola⁹, Frank Berninger¹

Affiliations

¹ Department of Environmental and Biological Sciences, University of Eastern Finland, 80101 Joensuu, Finland.
² Department of Environmental and Biological Sciences, University of Eastern Finland, 70211 Kuopio, Finland.
³ Department of Forest Ecology and Management, Swedish University of Agricultural Sciences, 90183 Umeå, Sweden.
⁴ Faculty of Biological and Environmental Sciences, Ecosystems and Environment Research Programme, University of Helsinki, Niemenkatu 73, 15140 Lahti, Finland.
⁵ Institute for Atmospheric and Earth System Research/Forest Sciences, Faculty of Agriculture and Forestry, University of Helsinki, 00014 Helsinki, Finland.
⁶ Faculty of Biological and Environmental Sciences, Helsinki Institute of Sustainability Science, University of Helsinki, 00014 Helsinki, Finland.
⁷ Department of Forest Science, University of Helsinki, 00014 Helsinki, Finland.
⁸ Luode Consulting Sinimäentie 10 B, 02630 Espoo, Finland.
⁹ Institute for Atmospheric and Earth System Research (INAR), University of Helsinki, 00014 Helsinki, Finland.

Abstract

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" [1].

Keywords: Dissolved organic matter; Ferric iron; Spectral absorbance; UV-Vis spectrophotometer; Water quality.