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Assessment of a portable UV–Vis spectrophotometer's performance in remote areas: Stream water DOC, Fe content and spectral data
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 a...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7841307/ https://www.ncbi.nlm.nih.gov/pubmed/33537378 http://dx.doi.org/10.1016/j.dib.2021.106747 |
_version_ | 1783643777863254016 |
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author | Zhu, Xudan Chen, Liang Pumpanen, Jukka Keinänen, Markku Laudon, Hjalmar Ojala, Anne Palviainen, Marjo Kiirikki, Mikko Neitola, Kimmo Berninger, Frank |
author_facet | Zhu, Xudan Chen, Liang Pumpanen, Jukka Keinänen, Markku Laudon, Hjalmar Ojala, Anne Palviainen, Marjo Kiirikki, Mikko Neitola, Kimmo Berninger, Frank |
author_sort | Zhu, Xudan |
collection | PubMed |
description | 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]. |
format | Online Article Text |
id | pubmed-7841307 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-78413072021-02-02 Assessment of a portable UV–Vis spectrophotometer's performance in remote areas: Stream water DOC, Fe content and spectral data Zhu, Xudan Chen, Liang Pumpanen, Jukka Keinänen, Markku Laudon, Hjalmar Ojala, Anne Palviainen, Marjo Kiirikki, Mikko Neitola, Kimmo Berninger, Frank Data Brief Data Article 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]. Elsevier 2021-01-13 /pmc/articles/PMC7841307/ /pubmed/33537378 http://dx.doi.org/10.1016/j.dib.2021.106747 Text en © 2021 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Data Article Zhu, Xudan Chen, Liang Pumpanen, Jukka Keinänen, Markku Laudon, Hjalmar Ojala, Anne Palviainen, Marjo Kiirikki, Mikko Neitola, Kimmo Berninger, Frank Assessment of a portable UV–Vis spectrophotometer's performance in remote areas: Stream water DOC, Fe content and spectral data |
title | Assessment of a portable UV–Vis spectrophotometer's performance in remote areas: Stream water DOC, Fe content and spectral data |
title_full | Assessment of a portable UV–Vis spectrophotometer's performance in remote areas: Stream water DOC, Fe content and spectral data |
title_fullStr | Assessment of a portable UV–Vis spectrophotometer's performance in remote areas: Stream water DOC, Fe content and spectral data |
title_full_unstemmed | Assessment of a portable UV–Vis spectrophotometer's performance in remote areas: Stream water DOC, Fe content and spectral data |
title_short | Assessment of a portable UV–Vis spectrophotometer's performance in remote areas: Stream water DOC, Fe content and spectral data |
title_sort | assessment of a portable uv–vis spectrophotometer's performance in remote areas: stream water doc, fe content and spectral data |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7841307/ https://www.ncbi.nlm.nih.gov/pubmed/33537378 http://dx.doi.org/10.1016/j.dib.2021.106747 |
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