317 research outputs found
Rekyt/ssdms_saturation_richness: Accepted version
No full textIs prediction of species richness from Stacked Species Distribution Models biased by habitat saturation?
This repository contains the data and code for our paper:
Grenié M., Violle C, Munoz F. * Is prediction of species richness from Stacked Species Distribution Models biased by habitat saturation?. accepted in Ecological Indicators*.
How to cite
Please cite this compendium as:
Grenié M., Violle C, Munoz F., (2019). Compendium of R code and data for Is prediction of species richness from Stacked Species Distribution Models biased by habitat saturation?. Accessed 02 déc. 2019. Online at https://doi.org/10.5281/zenodo.3552836
How to download or install
You can download the compendium as a zip from from this URL:
Or you can install this compendium as an R package, `cssdms.saturation.richness, from GitHub with:
# install.packages("devtools")
remotes::install_github("Rekyt/ssdms_saturation_richness")
How to run the analyses
This compendium uses drake to make analyses reproducible. To redo the analyses and rebuild the manuscript run the following lines (from the ssdms_saturation_richness folder):
# install.packages("devtools")
pkgload::load_all() # Load all functions included in the package
make(saturation_workflow()) # Run Analyses
Beware that some code make time a long time to run, and it may be useful to run analyses in parallel.
##You can run the analyses by clicking on the Binder badge:
Dependencies
As noted in the DESCRPTION files this project depends on:
virtualspecies, to simulate species;
drake, to execute a reproducible workflow;
the tidyverse (dplyr, ggplot2, purrr, and tidyr) for data wrangling;
ggpubr to customize plot
</ul
Pieces de violle en musique et en tablature : a visão de De Machy sobre a viola da gamba
No full textOrientadora: Profa. Dra. Silvana Ruffier ScarinciCoorientação: Profa. Dra. Kristina AugustinDissertação (mestrado) - Universidade Federal do Paraná, Setor de Artes, Comunicação e Design, Programa de Pós-Graduação em Música. Defesa : Curitiba, 13/04/2020Inclui referências: p. 99-102Área de concentração: Musicologia Histórica/EtnomusicologiaResumo: A obra Pieces de Violle en Musique et en Tablature (1685) de De Machy foi o primeiro livro para viola da gamba solo a ser publicado na França. No prefácio (Avertissement), o autor revela a sua visão sobre a viola da gamba e especifica questões sobre o modo de tocar, ler e escrever para o instrumento. O objetivo da pesquisa é o de investigar as propostas de De Machy sobre o estilo, ensino, técnicas e ornamentação da viola da gamba solo. A publicação recebeu críticas à época, e desde a redescoberta da viola da gamba no século XX o nome de De Machy foi desconsiderado inclusive entre os gambistas. A pesquisa vem somar-se às publicações e gravações recentes que ampliam a relevância da obra de De Machy, e contribui para fomentar a pesquisa sobre a viola da gamba no Brasil. Palavras chave: De Machy. Viola da gamba. Tablatura. Pieces de Violle. Música Antiga. Performance Historicamente Informada.Abstract: The work Pieces de Violle en Musique et en Tablature (1685) by De Machy was the first book for viola da gamba solo to be published in France. In the preface (Avertissement), the author reveals his vision of the viola da gamba and specifies questions about how to play, read and write for the instrument. The aim of the research is to investigate De Machy's proposals on the style, teaching, techniques and ornamentation of the viola da gamba solo. The publication received criticism at the time, and since the rediscovery of the viola da gamba in the 20th century, the name of De Machy has been disregarded even among viol players. The research is added to the recent publications and recordings that increase the relevance of De Machy's work, and contributes to foster research on the viola da gamba in Brazil. Keywords: De Machy. Viola da gamba. Tablature. Pieces de Violle. Early Music. Historically Informed Performance
Sur l'équivalent mécanique de la chaleur. Suivi de Travaux de M. Pasteur sur les fermentations / par Jules Violle
No full textNote : Thèses présentées à la faculté des sciences de Paris. - 39 p. ; 25 c
Rekyt/ssdms_saturation_richness: Accepted version
No full textIs prediction of species richness from Stacked Species Distribution Models biased by habitat saturation?
This repository contains the data and code for our paper:
Grenié M., Violle C, Munoz F. * Is prediction of species richness from Stacked Species Distribution Models biased by habitat saturation?. accepted in Ecological Indicators*.
How to cite
Please cite this compendium as:
Grenié M., Violle C, Munoz F., (2019). Compendium of R code and data for Is prediction of species richness from Stacked Species Distribution Models biased by habitat saturation?. Accessed 02 déc. 2019. Online at https://doi.org/10.5281/zenodo.3552836
How to download or install
You can download the compendium as a zip from from this URL:
Or you can install this compendium as an R package, `cssdms.saturation.richness, from GitHub with:
# install.packages("devtools")
remotes::install_github("Rekyt/ssdms_saturation_richness")
How to run the analyses
This compendium uses drake to make analyses reproducible. To redo the analyses and rebuild the manuscript run the following lines (from the ssdms_saturation_richness folder):
# install.packages("devtools")
pkgload::load_all() # Load all functions included in the package
make(saturation_workflow()) # Run Analyses
Beware that some code make time a long time to run, and it may be useful to run analyses in parallel.
##You can run the analyses by clicking on the Binder badge:
Dependencies
As noted in the DESCRPTION files this project depends on:
virtualspecies, to simulate species;
drake, to execute a reproducible workflow;
the tidyverse (dplyr, ggplot2, purrr, and tidyr) for data wrangling;
ggpubr to customize plot
</ul
Symphonies. Arr - Don Mus.Ms. 582 : ob, strings; C; RicG deest
No full textAdalbert GyrowetzBearb.: Franz Joseph Rosinack. - Quelle: manuscript. - Provenienz: Fürstlich Fürstenbergische Hofbibliothek, DonaueschingenQuintetto. in C. | pour. | Oboe. | Violino. | Due Violle. | e | Violon Cello. | Del Sig: Girovez. | A.ra M|r|e Rosinac
Quintets. Arr - Don Mus.Ms. 1584 : ob, vl, vla (2), vlc; C; BenP deest
No full textIgnace PleyelBearb.: Franz Joseph Rosinack. - Quelle: manuscript. - Provenienz: Fürstlich Fürstenbergische Hofbibliothek, DonaueschingenQuintetto. in C | pour | Oboe | Violino | Due Violle. | e | Violon Cello. | Del Sig: J: Playel. | A.ran M|r|e Rosinac
Companion code for "When and how can Stacked Species Distribution Models predict local richness?"
No full text<p><strong>When and how can Stacked Species Distribution Models predict local richness?</strong></p>
<p>This repository contains the data and code for our paper:</p>
<blockquote>
<p>Grenié M., Violle C, Munoz F.<em> When and how can Stacked Species Distribution Models predict local richness?</em>. submitted to <em>Ecological Indicators</em>.</p>
</blockquote>
<p><strong>How to cite</strong></p>
<p>Please cite this compendium as:</p>
<blockquote>
<p>Grenié M., Violle C, Munoz F., (2019). <em>Compendium of R code and data for When and how can Stacked Species Distribution Models predict local richness?</em>. Accessed 29 july 2019. Online at <https://doi.org/10.5281/zenodo.3345743></p>
</blockquote>
<p><strong>How to download or install</strong></p>
<p>You can download the compendium from Zenodo <a href="https://doi.org/10.5281/zenodo.3345743">https://doi.org/10.5281/zenodo.3345743</a></p>
<p>Or you can install this compendium as an R package, `comsat`, from<br>
GitHub with:</p>
<pre><code># install.packages("devtools")
remotes::install_github("Rekyt/comsat")</code></pre>
<p> </p>
<p><strong>How to run the analyses</strong></p>
<p>This compendium uses <a href="https://docs.ropensci.org/drake/">drake</a> to make analyses reproducible. To redo the analyses and rebuild the manuscript run the following lines (from the `comsat` folder):</p>
<pre><code># install.packages("devtools")
pkgload::load_all() # Load all functions included in the package
make(comsat_drake_plan()) # Run Analyses</code></pre>
<p>Beware that some code make time a long time to run, and it may be useful<br>
to run analyses in parallel.</p>
<p> </p>
Dataset on 10 common alien plants in French grasslands
No full textData to build a multi-species hierarchical model of
the distribution of the ten most widespread alien plants in French grasslands, based on a subset of the DIVGRASS dataset of more than 50000 plant community plots. It allows testing how plant traits (height, specific leaf area (SLA) and seed mass) affect alien species occurrence along
gradients of human pressure, environmental conditions and native community
composition.Dataset from the paper:Carboni, M., Calderon-Sanou, I., Pollock, L., Violle, C., Thuiller, W. 2018. Functional traits modulate alien species response to environmental, biotic and human gradients. Global Ecology and Biogeography</div
Chant Norwegien
No full textMon âme est pleine de noirs chagrinsA Mesdemoiselles Emilie et Marguerite NaudinB Flat MajorCover portrait by H. Violle
Phenotypic plasticity masks range-wide genetic differentiation for vegetative but not reproductive traits in a short-lived plant
No full textGenetic differentiation and phenotypic plasticity jointly shape intraspecific trait variation, but their roles differ among traits. In short-lived plants, reproductive traits may be more genetically determined due to their impact on fitness, whereas vegetative traits may show higher plasticity to buffer short-term perturbations. Combining a multi-treatment greenhouse experiment with observational field data throughout the range of a widespread short-lived herb, Plantago lanceolata, we (1) disentangled genetic and plastic responses of functional traits to a set of environmental drivers and (2) assessed how genetic differentiation and plasticity shape observational trait–environment relationships. Reproductive traits showed distinct genetic differentiation that largely determined observational patterns, but only when correcting traits for differences in biomass. Vegetative traits showed higher plasticity and opposite genetic and plastic responses, masking the genetic component underlying field-observed trait variation. Our study suggests that genetic differentiation may be inferred from observational data only for the traits most closely related to fitness
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