1,720,977 research outputs found
Phenotypic trait and leaf phenology dataset (1993 - 2022) of Juglans sp. from common gardens in France
No full textDonnées sur des caractères phénotypiques de Juglans regia, Juglans nigra et Juglans regia x J. nigra mesurés dans les jardins communs du réseau INRAE de génétique forestière pour la recherche et l'expérimentation (GEN4X).
Ce jeu de données est composé d'observations telles que la hauteur totale, la circonférence, la survie, l'architecture et le débourrement végétatif, réalisées entre 1993 et 2022 dans sept jardins communs du réseau GEN4X : deux tests de provenances, quatre tests de descendances et un test clonal. Les tests sont installés dans des conditions environnementales variées dans le sud de la France.
Les jardins communs ont été plantés entre 1993 et 1995 et contiennent chacun entre 200 et 1182 individus, pour un total de plus de 3000 individus. Chaque jardin commun compare entre 8 et 33 génotypes. En comptant les génotypes présents à titre de référence, ce sont 165 génotypes des genres Juglans et Pterocarya qui sont représentés dans ces set jardins communs.
Ce type de données de caractères phénotypiques liés à la valeur sélective peuvent être utilisés pour tester l'ampleur et la structuration de la diversité génétique, la plasticité phénotypique et l'adaptation locale dans des conditions variées de sols et de climats.
L'archive contient onze fichiers. Le fichier "Desciption_Genotypes_Juglans" contient les métadonnées sur les accessions (provenances, descendances, clones). Le fichier "Description_Jardins_Communs_Juglans" contient les métadonnées sur les sites de plantation. Les deux fichiers texte "Readme" décrivent les données et les entêtes des champs des fichiers de description. Chacun des sept fichiers restants contient les données phénotypiques, un fichier par jardin commun.
Phenotypic trait dataset of Juglans regia, Juglans nigra and Juglans regia x J. nigra measured in common gardens of the Forest Genetics Network for Research and Experimentation (GEN4X) of INRAE.
This dataset is made of observations such as total height, circumference, survival, architecture and leaf phenology, carried out between 1993 and 2022 in seven common gardens of the GEN4X network: two provenance tests, four progeny tests and one clonal test. The tests are set up in a variety of environmental conditions in the south of France.
The commun gardens were planted between 1993 and 1995 and each contains between 200 and 1182 individuals, for a total of over 3000 individuals. Each common garden compares between 8 and 33 genotypes. Including reference genotypes, 165 genotypes of the Juglans and Pterocarya genera are represented in these common gardens.
This type of data on phenotypic traits linked to selective value can be used to test the extent and structure of genetic diversity, phenotypic plasticity and local adaptation under a variety of soil and climatic conditions.
The archive contains eleven files. The "Desciption_Genotypes_Juglans" file contains metadata on accessions (provenances, half-sibs, clones). The "Description_Jardins_Communs_Juglans" file contains metadata on planting sites. The two "Readme" text files describe the data and field headers of the description files. Each of the seven remaining files contains phenotypic data, one file per common garden
Phenotypic trait dataset of Pinus pinea from five common gardens of the INRAE GEN4X network
No full textDonnées sur les traits phénotypiques de Pinus pinea mesurés dans les jardins communs du réseau INRAE de génétique forestière pour la recherche et l'expérimentation (GEN4X).
Ce jeu de données est composé d'observations telles que la hauteur totale, la circonférence, le nombre de cônes, la survie et la fourchaison, réalisées jusqu'en 2012 dans cinq tests de provenance de Pinus pinea du réseau français de jardins communs GEN4X (réseau de génétique forestière pour la recherche et l'expérimentation). Il permet de comparer jusqu'à 40 unités génétiques différentes (provenances) de Pinus pinea plantées dans des conditions environnementales variées du sud de la France et d'obtenir des informations sur la plasticité phénotypique et la diversité génétique de ces caractères phénotypiques.
Les jardins communs ont été plantés entre 1993 et 1995 et contiennent plus de 5000 individus.
L'archive contient sept fichiers. Le fichier "Description provenances archive" contient les métadonnées sur les provenances. Le fichier "Description Jardins communs archive" contient les métadonnées sur les sites de plantation. Chacun des cinq fichiers restants contient les données phénotypiques, un fichier par jardin commun. Les métadonnées des variables figurent dans les premières lignes de chacun des fichiers.Phenotypic trait dataset of Pinus pinea measured in common gardens of the Forest Genetics Network for Research and Experimentation (GEN4X) of INRAE.
This dataset is composed of observations such as height, circumference, cone number, survival and forking, made from 1994 to 2022 in five Pinus pinea provenance trials of the French common gardens network GEN4X (forest genetics network for research and experimentation). The dataset makes possible the comparison of up to 40 different Pinus pinea genetic units (provenances) planted under varied environmental conditions in southern France and to inform on the phenotypic plasticity and genetic diversity of the phenotypic traits measured.
The common gardens were planted between 1993 and 1995 and include between 1770 and over 5000 individuals..
The archive contains seven files:
File "Description provenances archive" contains metadata on provenances
File "Description Jardins communs archive" contains metadata on test sites
Each of the remaining files contain the data themselves, one per common garden. Variable metadata are included in these files, as first rows of each file.
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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
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
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
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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