1,720,954 research outputs found
lmar116/BeeFall: Data from: Understanding and addressing shortfalls in European wild bee data
No full text<p>Title of dataset:</p>
<p>Data from: Understanding and addressing shortfalls in European wild bee data</p>
<p>Authors of dataset:</p>
<p>Leon Marshall1,2^* Nicolas Leclercq1^ Luísa G. Carvalheiro3,4 Holger H. Dathe5 Bernhard Jacobi6 Michael Kuhlmann7 Simon G. Potts8 Pierre Rasmont9 Stuart P.M. Roberts1 Nicolas J. Vereecken1</p>
<p>^Both authors contributed equally to the manuscript *Corresponding author</p>
<p>Agroecology Lab, Université libre de Bruxelles (ULB), Boulevard du Triomphe CP 264/02, B-1050 Brussels, Belgium
Naturalis Biodiversity Center, Darwinweg 2, 2333 CR, Leiden, Netherlands.
Departamento de Ecologia, Universidade Federal de Goiás, Goiânia, Brazil
Center of Ecology, Evolution and Environmental Changes, Universidade de Lisboa, Lisboa, Portugal
Senckenberg Deutsches Entomologisches Institut, Eberswalder Straße 90, 15374 Müncheberg, Germany
Dieckerstraße 26, D-46047 Oberhausen, Germany
Zoological Museum of Kiel University, Hegewischstr. 3, D-24105 Kiel, Germany
Centre for Agri-Environmental Research, School of Agriculture, Policy and Development, University of Reading, Reading, RG6 6AR, UK
Laboratory of Zoology, Université de Mons, B-7000 Mons, Belgium</p>
<p>Abstract</p>
<p>Understanding and reversing biodiversity decline in the Anthropocene requires robust data on species taxonomic identity, distribution, ecology, and population trends. Data deficits hinder biodiversity assessments and conservation, and despite major advances over the past few decades, our understanding of bee diversity, decline and distribution in Europe is still hampered by such data shortfalls. Using a unique digital dataset of wild bee occurrence and ecology, we identify seven critical shortfalls which are an absence of knowledge on geographic distributions, (functional) trait variation, population dynamics, evolutionary relationships, biotic interactions, species identity, and tolerance to abiotic conditions. We describe "BeeFall," an interactive online Shiny app tool, which visualizes these shortfalls and highlights missing data. We also define a new impediment, the Keartonian Impediment, which addresses an absence of high-quality in situ photos and illustrations with diagnostic characteristics and directly affects the outlined shortfalls. Shortfalls are highly correlated at both the provincial and national scales, identifying key areas in Europe where knowledge gaps can be filled. This work provides an important first step towards the long-term goal to mobilize and aggregate European wild bee data into a multi-scale, easy access, shareable, and updatable database which can inform research, practice and policy actions for the conservation of wild bees.</p>
<p>Usage notes</p>
<p>The dataset contains all the data and code necessary for beefall.org and online shiny tool to view data shortfalls, impediments and knowledge gaps for European wild bees. The latest version of the data and code for the tool can be found at https://github.com/lmar116/BeeFall.</p>
<p>Please see the file FullMetadata_BeeFallVx.x.x.html - for details on data and code.</p>
lmar116/BeeFall: BeeFall v1.0.0
No full text<p>First full release to coincide with online publication of research article: Marshall, L., Leclercq, N., Carvalheiro, L.G., Dathe, H.H., Jacobi, B., Kuhlmann, M., Potts, S.G., Rasmont, P., Roberts, S.P.M., & Vereecken, N.J. (2024) Understanding and addressing shortfalls in European wild bee data. Biological Conservation, 290, p.110455.</p>
lmar116/SpatialMismatchesApple-Bees: Data from: Potential for climate change driven spatial mismatches between apple crops and their wild bee pollinators at a continental scale
No full textData and scripts for: Potential for climate change driven spatial mismatches between apple crops and their wild bee pollinators at a continental scal
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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