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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2020
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 . 2020
License: CC BY
Data sources: ZENODO
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R script to simulate the phenology of the box tree moth, Cydalima perspectalis

Authors: ROBINET, Christelle; SUPPO, Christelle;

R script to simulate the phenology of the box tree moth, Cydalima perspectalis

Abstract

This folder contains : - ReadMe file with the following explanation - the R script to simulate the phenology of the box tree moth (ProgR_phenology_box_tree_moth.r), - the flight curve of the box tree moth in Orleans (France) in 2017 (see published dataset: https://doi.org/10.5281/zenodo.3719293 ) - temperature dataset (temperature.txt; col 1 = year, col 2 = month, col 3 = day, col 4 = Tmin, col 5 = Tmax) - photoperiod dataset (photoperiod.txt; col 1 = year, col 2 = month, col 3 = day, col 4 = julian day, col 5 = day length in hours) Note that these two former datasets are provided because they are required to make simulations. Warning: since we are not allowed to redistribute the temperature and photoperiod datasets, the related files have been modified and are not those actually used in our paper in preparation. The R script was used in R version 3.6.1 (2019-07-05). To download the software R, please visit: https://www.r-project.org/ This work was done in the frame of a regional project called INCA (grant from Région Centre Val de Loire).

Keywords

Phenology, Box tree moth, Cydalima perspectalis, Model

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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).
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