1,721,036 research outputs found
Illgraben topographic datasets 2018 - 2021
Topographic data of the Illgraben channel from November 2018 to September 2021. The folder contains orthophotos, DTMs, and hillshades DTMs in geotiff format, and point clouds in .laz format. Models have been made through structure-from-motion with aerial drone images.
There is a new version (1.2) of this dataset, which can be found here; https://public.yoda.uu.nl/geo/UU01/XXASOM.htm
Illgraben topographic datasets 2018 - 2021
Topographic data of the Illgraben channel from November 2018 to September 2021. The folder contains orthophotos, DTMs, and hillshades DTMs in geotiff format, and point clouds in .laz format. Models have been made through structure-from-motion with aerial drone images
Illgraben topographic datasets 2018 - 2021
Topographic data of the Illgraben channel from November 2018 to September 2021. The folder contains orthophotos, DTMs, and hillshades DTMs in geotiff format, and point clouds in .laz format. Models have been made through structure-from-motion with aerial drone images.
There is a new version (1.2) of this dataset, which can be found here; https://public.yoda.uu.nl/geo/UU01/XXASOM.htm
Going Beyond Counting First Authors in Author Co-citation Analysis
The 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
“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
We 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
No riddles on Mars, for now...
Hoe komen ontdekkingen tot stand? DeVolkskrant kijkt van start tot finish mee in de dagelijkse praktijk van twaalf onderzoeksteams. Vandaag: Rsi van het stenen mete
Deciphering seismic and normal-force fluctuation signatures of debris flows: an experimental assessment of effects of flow composition and dynamics
Data and movies of experiments described in De Haas et al. (2021): Deciphering seismic and normal-force fluctuation signatures of debris flows: an experimental assessment of effects of flow composition and dynamics
Abstract summarizing main findings:
Debris flows are gravity-driven mass movements that are common natural hazards in mountain regions worldwide. Previous work has shown that measurements of ground vibrations are capable of detecting the timing, speed, and location of landslides and debris flows. A remaining question is whether or not additional flow properties, such as grain-size distribution, flow depth, and impact stress can be inferred reliably from seismic data. Here, we experimentally explore the relation of seismic vibrations and normal-force fluctuations with debris-flow composition and dynamics. We show that seismic vibrations and normal-force fluctuations induced by debris flows are strongly correlated, and that both are affected by debris-flow composition. We find that the effects of the large-particle distribution on seismic vibrations and normal-force fluctuations are substantially more pronounced than the effects of water fraction, clay fraction, and flow volume, especially when normalized by flow depth. We further show that for flows with similar coarse-particle distributions seismic vibrations and normal-force fluctuations can be reasonably-well related to flow depth, even if total flow volume, water fraction, and the size distribution of fines varies. Our experimental results shed light on how changes in large-particle, clay, and water fractions affect the seismic and force-fluctuation signatures of debris flows, and provide important guidelines for their interpretation.
The data is provided in 2 subfolders for 56 experiments. Detailed information about the files in these subfolders as well as information on how the data is processed is given in the explanatory files ReadMe.txt and DeHaasetal2021_ExperimentalDetails.csv. Contact person is Tjalling de Haas - researcher - [email protected]
Dispelling the Myths Behind First-author Citation Counts
We 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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