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

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Zhu , X , Chen , L , Pumpanen , J , Keinänen , M , Laudon , H , Ojala , A , Palviainen , M , Kiirikki , M , Neitola , K & Berninger , F 2021 , ' Assessment of a portable UV-Vis spectrophotometer's performance in remote areas : Stream water DOC, Fe content and spectral data ' , Data in Brief , vol. 35 , 106747 . https://doi.org/10.1016/j.dib.2021.106747

Titel: Assessment of a portable UV-Vis spectrophotometer's performance in remote areas : Stream water DOC, Fe content and spectral data
Författare: Zhu, Xudan; Chen, Liang; Pumpanen, Jukka; Keinänen, Markku; Laudon, Hjalmar; Ojala, Anne; Palviainen, Marjo; Kiirikki, Mikko; Neitola, Kimmo; Berninger, Frank
Upphovmannens organisation: Ecosystems and Environment Research Programme
Helsinki Institute of Sustainability Science (HELSUS)
Viikki Plant Science Centre (ViPS)
Anne Ojala / Principal Investigator
Ecosystem processes (INAR Forest Sciences)
Department of Forest Sciences
Forest Soil Science and Biogeochemistry
Forest Ecology and Management
Institute for Atmospheric and Earth System Research (INAR)
Polar and arctic atmospheric research (PANDA)
Datum: 2021-04
Språk: eng
Sidantal: 8
Tillhör serie: Data in Brief
ISSN: 2352-3409
DOI: https://doi.org/10.1016/j.dib.2021.106747
Permanenta länken (URI): http://hdl.handle.net/10138/332490
Abstrakt: 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 exsitu 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]. (C) 2021 The Authors. Published by Elsevier Inc.
Subject: 1172 Environmental sciences
114 Physical sciences
Referentgranskad: Ja
Licens: cc_by
Användningsbegränsning: openAccess
Parallelpublicerad version: publishedVersion


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