Data for: New spectroscopic method for true color determination in natural water with high agreement with visual methods”

Published: 21 Jan 2020 | Version 2 | DOI: 10.17632/dgdb2gp835.2
Contributor(s):

Description of this data

The program is dedicated to true water color (TWC) calculation by light absorption in visual range from 390 up to 830 nm. Calculation is based on mathematical model of color perception by standard observer using spectral data, contained in text files.
It allows:
1 – To load standard solutions and samples spectra with spectrum conversion into absorption when required;
2 – To save and upload calculation of graduation curve and graduation data;
3 – To calculate true water color and export data to Microsoft (MS) Excel table;
Surce code and data examples are also attached.

Experiment data files

  • AppD
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    • Examples
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      • Environmental
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        • Series1
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          • txt-tab
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        • Series2
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          • txt_tab
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        • Series3
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          • txt_tab
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        • Series4
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          • txt_tab
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        • Series5
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          • txt_tab
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        • Series6
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          • txt_tab
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        • Series7
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          • txt_tab
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      • Graduation
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        • CrCo
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          • txt_tab
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        • PtCo
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          • txt_tab
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      • Test samples
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        • txt_tab
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    • Source code
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Steps to reproduce

The data is supplenmentory material to manuscript "New spectroscopic method for true color determination in natural water with high agreement with visual methods" by M.B. Zobkov, M.V. Zobkova, Water Research, 2019

Latest version

  • Version 2

    2020-01-21

    Published: 2020-01-21

    DOI: 10.17632/dgdb2gp835.2

    Cite this dataset

    Zobkov, Mikhail (2020), “Data for: New spectroscopic method for true color determination in natural water with high agreement with visual methods””, Mendeley Data, v2 http://dx.doi.org/10.17632/dgdb2gp835.2

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Institutions

Karel'skij naucnyj centr Rossijskoj akademii nauk

Categories

Computer Program, Source Coding

Licence

CC BY 4.0 Learn more

The files associated with this dataset are licensed under a Creative Commons Attribution 4.0 International licence.

What does this mean?
You can share, copy and modify this dataset so long as you give appropriate credit, provide a link to the CC BY license, and indicate if changes were made, but you may not do so in a way that suggests the rights holder has endorsed you or your use of the dataset. Note that further permission may be required for any content within the dataset that is identified as belonging to a third party.

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