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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2021
License: CC BY
Data sources: ZENODO
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Smithsonian figshare
Dataset . 2021
License: CC BY
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Data related to the manuscript "Functional relationships between critical erosion thresholds of fine reservoir sediments and their sedimentological characteristics"

Authors: Beckers, Felix; Koca, Kaan; Haun, Stefan; Noack, Markus; Gerbersdorf, Sabine U.; Wieprecht, Silke;

Data related to the manuscript "Functional relationships between critical erosion thresholds of fine reservoir sediments and their sedimentological characteristics"

Abstract

----------------------------------------------------------------------------------------------------------------------------------------------------------------- Data used in the publication "Functional relationships between critical erosion thresholds of fine reservoir sediments and their sedimentological characteristics", which is accepted by the Journal of Hydraulic Engineering and will be published in a forthcoming issue. Beckers, F., K. Koca, S. Haun, M. Noack, S. U. Gerbersdorf, and S. Wieprecht. Forthcoming. „Functional relationships between critical erosion thresholds of fine reservoir sediments and their sedimentological characteristics.” J. Hydraul. Eng. https://doi.org/10.1061/(ASCE)HY.1943-7900.0001984 The data consists of two files: GBS.txt contains the sediment data of the reservoir Großer Brombachsee SBT.txt contains the sediment data of the reservoir Schwarzenbachtalsperre Both files contain information on the sediment depth and erosion stability separated into τc,0 and τc,S. Furthermore, both files contain a collection of physico-chemical sediment parameters, including bulk density, sediment composition (Clay, Silt, Sand), percentiles (d10, d50, d90),cation exchange capacity (CEC), and organic content (TOC). Additionally, the SBT data contains biological sediment parameters, including chlorophyll-a (CHL-a), and extracellular polymeric substances separated into proteins (EPS-p) and carbohydrates (EPS-c). ----------------------------------------------------------------------------------------------------------------------------------------------------------------- The data was collected within the transdisciplinary research project "CHARM - Challenges of Reservoir Management". -----------------------------------------------------------------------------------------------------------------------------------------------------------------

Keywords

Inorganic Chemistry, erosion thresholds, Ecology, Chemical Sciences not elsewhere classified, Computational Biology, SBT, TOC, CEC, sediment data, physico-chemical sediment parameters, reservoir sediments

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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