1,720,965 research outputs found
Gene sequence variation data for the publication "Synchronous effective population size changes and genetic stability of forest trees through glacial cycles"
No full textThis dataset contains the gene sequence variation data (vcf files and their tbi index files) of seven forest tree species used in the manuscript "Synchronous effective population size changes and genetic stability of forest trees through glacial cycles". For each species, between 411 and 651 genotyped trees are included, sampled across Europe in at least 20 locations. Several versions are provided. Species included: Pinus sylvestris, Picea abies, Fagus sylvatica, Populus nigra, Quercus petraea, Pinus pinaster, Betula pendul
Ecological and phenotypic trait dataset for 12 European forest tree species from H2020 project GenTree
No full textGenTree is a European Union project financed under the Horizon 2020 framework (2016-2020). The goal of GenTree was to improve the status and use of European in-situ and ex-situ forest genetic resource (FGR) collections, support acquisition, conservation, characterization, evaluation and use of relevant FGR in breeding and forestry practice and policy, will seek to harmonize, rationalize and improve management of existing collections and databases, and will strengthen the EU strategy for cooperation on FGR research and innovation.
The major outputs of GenTree included:
new scientific knowledge on phenotypic and genotypic diversity across environmental gradients in Europe,
improved genotyping and phenotyping monitoring tools for practitioners,
updated and refined data for information systems of in-situ and ex-situ FGR collections,
innovative strategies for conservation, breeding and exchanging and using diversified forest reproductive material,
novel outreach and science-policy support tools to better integrate FGR concerns into forest management and better implement relevant international commitments in Europe.
Here, we report individual and plot level phenotypic trait measurements, tree ring growth and density measurements, ecological and climate data from over 4700 trees from 12 species and 210 sites sampled across Europe. Traits measured and associated metadata are useful for research on local adaptation and response to global change, and for research and development with both a conservation and a breeding perspective
Genotyping dataset for 12 European forest tree species from H2020 project GenTree
No full textGenTree is a European Union project financed under the Horizon 2020 framework. The goal of GenTree was to improve the status and use of European in-situ and ex-situ forest genetic resource (FGR) collections, support acquisition, conservation, characterization, evaluation and use of relevant FGR in breeding and forestry practice and policy, will seek to harmonize, rationalize and improve management of existing collections and databases, and will strengthen the EU strategy for cooperation on FGR research and innovation.
The major outputs of GenTree included:
new scientific knowledge on phenotypic and genotypic diversity across environmental gradients in Europe,
improved genotyping and phenotyping monitoring tools for practitioners,
updated and refined data for information systems of in-situ and ex-situ FGR collections,
innovative strategies for conservation, breeding and exchanging and using diversified forest reproductive material,
novel outreach and science-policy support tools to better integrate FGR concerns into forest management and better implement relevant international commitments in Europe.
Here, we report SPET and exome capture data from over 4700 trees from 12 species sampled in 36 sites across Europe.
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Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Between but not within species variation in the Distribution of Fitness Effects
No full textAbstract New mutations provide the raw material for evolution and adaptation. The distribution of fitness effects (DFE) describes the spectrum of effects of new mutations that can occur along a genome, and is therefore of vital interest in evolutionary biology. Recent work has uncovered striking similarities in the DFE between closely related species, prompting us to ask whether there is variation in the DFE among populations of the same species, or among species with different degrees of divergence, i.e., whether there is variation in the DFE at different levels of evolution. Using exome capture data from six tree species sampled across Europe we characterised the DFE for multiple species, and for each species, multiple populations, and investigated the factors potentially influencing the DFE, such as demography, population divergence and genetic background. We find statistical support for there being variation in the DFE at the species level, even among relatively closely related species. However, we find very little difference at the population level, suggesting that differences in the DFE are primarily driven by deep features of species biology, and that evolutionarily recent events, such as demographic changes and local adaptation, have little impact
Variations on the Author
Full text link“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
Full text linkWe 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
Full text linkWe 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
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