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Data on samara morphology and wind dispersal in the invasive tree Ailanthus altissima

The data presented in this paper is supporting the research article “Estimating wind dispersal potential in Ailanthus altissima: The need to consider the three-dimensional structure of samaras” [1]. We analyzed the estimation of samara's wind dispersal potential through a group of morphological...

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Detalles Bibliográficos
Autores principales: Planchuelo, Greg, Catalán, Pablo, Delgado, Juan A., Murciano, Antonio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6811984/
https://www.ncbi.nlm.nih.gov/pubmed/31667284
http://dx.doi.org/10.1016/j.dib.2019.104521
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author Planchuelo, Greg
Catalán, Pablo
Delgado, Juan A.
Murciano, Antonio
author_facet Planchuelo, Greg
Catalán, Pablo
Delgado, Juan A.
Murciano, Antonio
author_sort Planchuelo, Greg
collection PubMed
description The data presented in this paper is supporting the research article “Estimating wind dispersal potential in Ailanthus altissima: The need to consider the three-dimensional structure of samaras” [1]. We analyzed the estimation of samara's wind dispersal potential through a group of morphological variables that succeed in describing the three-dimensional nature of samaras. We present here a dataset containing 8 morphological variables of 200 samaras belonging to 5 different individuals of the invasive tree Ailanthus altissima (Mill.) Swingle. Additionally, we present the average descent velocity of each of the samaras, which was recorded by releasing 5 times each samara under controlled and reproducible conditions. The data set is structured in a single spreadsheet where we also included the samara and the individual identity code of the tree.
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spelling pubmed-68119842019-10-30 Data on samara morphology and wind dispersal in the invasive tree Ailanthus altissima Planchuelo, Greg Catalán, Pablo Delgado, Juan A. Murciano, Antonio Data Brief Environmental Science The data presented in this paper is supporting the research article “Estimating wind dispersal potential in Ailanthus altissima: The need to consider the three-dimensional structure of samaras” [1]. We analyzed the estimation of samara's wind dispersal potential through a group of morphological variables that succeed in describing the three-dimensional nature of samaras. We present here a dataset containing 8 morphological variables of 200 samaras belonging to 5 different individuals of the invasive tree Ailanthus altissima (Mill.) Swingle. Additionally, we present the average descent velocity of each of the samaras, which was recorded by releasing 5 times each samara under controlled and reproducible conditions. The data set is structured in a single spreadsheet where we also included the samara and the individual identity code of the tree. Elsevier 2019-09-18 /pmc/articles/PMC6811984/ /pubmed/31667284 http://dx.doi.org/10.1016/j.dib.2019.104521 Text en © 2019 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 Environmental Science
Planchuelo, Greg
Catalán, Pablo
Delgado, Juan A.
Murciano, Antonio
Data on samara morphology and wind dispersal in the invasive tree Ailanthus altissima
title Data on samara morphology and wind dispersal in the invasive tree Ailanthus altissima
title_full Data on samara morphology and wind dispersal in the invasive tree Ailanthus altissima
title_fullStr Data on samara morphology and wind dispersal in the invasive tree Ailanthus altissima
title_full_unstemmed Data on samara morphology and wind dispersal in the invasive tree Ailanthus altissima
title_short Data on samara morphology and wind dispersal in the invasive tree Ailanthus altissima
title_sort data on samara morphology and wind dispersal in the invasive tree ailanthus altissima
topic Environmental Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6811984/
https://www.ncbi.nlm.nih.gov/pubmed/31667284
http://dx.doi.org/10.1016/j.dib.2019.104521
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