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Dataset . 2020
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2020
License: CC BY
Data sources: ZENODO
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 . 2020
License: CC BY
Data sources: Datacite
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Cinca River Field Survey: sediment sampling and tree measurement

Authors: Latella, Melissa; Bertagni, Matteo B.; Vezza, Paolo; Camporeale, Carlo;

Cinca River Field Survey: sediment sampling and tree measurement

Abstract

A field survey was performed on 26-28 November 2018 by Melissa Latella, Matteo B. Bertagni, Paolo Vezza and Carlo Camporeale (Envirofluidgroup, Department of Environmental, Land and Infrastructure Engineering, Polytechnic of Turin, Italy). The survey was carried out over the riparian area of the Cinca River, in a river segment located between the towns of Ballobar and Zaidín (Spain). Sediment samples were collected through the Wolman Pebble Count method. Pictures of the samples constitute the input for the MATLAB-based image-processing tool BaseGrain. BaseGrain allows to extrapolate the intermediate diameter of a set of samples. The output diameters can be processed in order to obtain the grain size distribution, the d50 and d90, and the Manning coefficient. Also vegetation features were measured during the survey. Tree diameter and height were collected in order to regress allometric curves, whereas the number of trees in areas of known extension allows to determine the spatial tree density.

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Keywords

Field survey, Tree allometry, Sediment sampling

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
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.
BIP!Impulse provided by BIP!
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Italian National Biodiversity Future Center