1,721,011 research outputs found
Metabolites characterization in boosting orphan legumes from the Mediterranean Basin: INRAE 2024 trial datasets of accession Guifredo
No full textResults of the greenhouse trial on Guifredoaccession at INRAE-Versailles/ France
The trial was conducted from september 2023 to March 2024.
These data refer to metabolites (Chlorophyll, Anthocyanins, Flavonols and NBI ratio) measurements in Guifredo accession.
The dataset is organised following the MIAPPE (Minimum Information About Plant Phenotyping Experiments) guidelines
The biological material file contains the information on the biological materials used for the trial.
The study and the observed variables files explains the observed variables and describe the study.
In the dataset file, the study_ID and the biologicalmaterial_ID refers to the identification of the trial from which the dataset is build.
The "Species_ID" column refers to the specy used in the study.
The "Accessions" column refers to the accession used in the study.
The "Treatment_ID" column refers to the treatment that is applied.
The "Days" columns refers to the different stage of development of the plant when the metabolites measurements are collected.
The 'Chlorophyll', 'Anthocyanins', 'Flavonols' and 'NBI (Nitrogen Balance Ratio)' columns refer to the measurement results of each of these metabolites. The measurement unit is µg/cm².
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Thousand seeds weight in boosting orphan legumes from the Mediterranean Basin: INRAE 2024 trial datasets
No full textResults of the greenhouse trial on accessions at INRAE-Versailles/ France
The trial was conducted from september 2023 to March 2024.
These data refer to the thousand seeds weight measurements in all accessions.
The dataset is organised following the MIAPPE (Minimum Information About Plant Phenotyping Experiments) guidelines
The biological material file contains the information on the biological materials used for the trial.
The study and the observed variables files explains the observed variables and describe the study.
In the dataset file, the study_ID and the biologicalmaterial_ID refers to the identification of the trial from which the dataset is build.
The "Species_ID" column refers to the specy used in the study.
The "Accessions" column refers to the accession used in the study.
The "Treatment_ID" column refers to the treatment that is applied.
The TSW columns refer to the measurement of the thousand seeds weight results. The measurement unit is in gram.
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Metabolites characterization in boosting orphan legumes from the Mediterranean Basin: INRAE 2024 trial datasets of accession Tborsek
No full textResults of the greenhouse trial on Tborsek accession at INRAE-Versailles/ France
The trial was conducted from september 2023 to March 2024.
These data refer to metabolites (Chlorophyll, Anthocyanins, Flavonols and NBI ratio) measurements in Tborsek accession.
The dataset is organised following the MIAPPE (Minimum Information About Plant Phenotyping Experiments) guidelines
The biological material file contains the information on the biological materials used for the trial.
The study and the observed variables files explains the observed variables and describe the study.
In the dataset file, the studyèID and the biologicalmaterial_ID refers to the identification of the trial from which the dataset is build.
The "Species_ID" column refers to the specy used in the study.
The "Accessions" column refers to the accession used in the study.
The "Treatment_ID" column refers to the treatment that is applied.
The "Days" columns refers to the different stage of development of the plant when the metabolites measurements are collected.
The 'Chlorophyll', 'Anthocyanins', 'Flavonols' and 'NBI (Nitrogen Balance Ratio)' columns refer to the measurement results of each of these metabolites. The measurement unit is µg/cm².
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Metabolites characterization in boosting orphan legumes from the Mediterranean Basin: INRAE 2024 trial datasets of accession Maleme-107
No full textResults of the greenhouse trial on Maleme-107 accession at INRAE-Versailles/ France
The trial was conducted from september 2023 to March 2024.
These data refer to metabolites (Chlorophyll, Anthocyanins, Flavonols and NBI ratio) measurements in Maleme-107 accession.
The dataset is organised following the MIAPPE (Minimum Information About Plant Phenotyping Experiments) guidelines
The biological material file contains the information on the biological materials used for the trial.
The study and the observed variables files explains the observed variables and describe the study.
In the dataset file, the study_ID and the biologicalmaterial_ID refers to the identification of the trial from which the dataset is build.
The "Species_ID" column refers to the specy used in the study.
The "Accessions" column refers to the accession used in the study.
The "Treatment_ID" column refers to the treatment that is applied.
The "Days" columns refers to the different stage of development of the plant when the metabolites measurements are collected.
The 'Chlorophyll', 'Anthocyanins', 'Flavonols' and 'NBI (Nitrogen Balance Ratio)' columns refer to the measurement results of each of these metabolites. The measurement unit is µg/cm².
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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
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