1,720,985 research outputs found
Dataset supporting Pack and population level estimates of wolf pup survival in the Greater Voyageurs Ecosystem
No full textFilename: PupSurvivalandRecruitmentEstimates_2019to2025.xls
Short description: Pup survival and recruitment estimates
Filename: LitterSizeRegressionData.xls
Short description: Litter size and recruitment data
Filename: PupSurvivalandRecruitmentEstimateCode.R
Short description: R codeDataset for Hynes et al. 2026 where the authors used a combination of pup counts at dens and remote camera observations to estimate annual survival and recruitment of wolf pups (Canis lupus) in the Greater Voyageurs Ecosystem, Minnesota, USA, from 2019 to 2025. They estimated recruitment for 33 packs over 92 pack-years and survival for 23 litters from 13 packs. Mean annual pup recruitment was 1.27 pups per pack, and mean annual pup survival was 0.29. They observed that annual wolf pup recruitment and survival rates varied substantially among years and packs, which was likely a result of differences in food availability and the ability of breeding animals to acquire sufficient prey to provision dependent pups. They found that pup survival was negatively related to litter size. Although most (71%) wolf pups born during the study did not survive their first biological year, the population remained relatively stable, suggesting that recruitment rates were sufficient to sustain the high-density wolf population over time. These data underscore the potential of integrative monitoring approaches to advance the understanding of wolf reproductive ecology.See read me fileHynes, Andrea; Gable, Thomas; Homkes, Austin; Bump, Joseph; Bruggink, John. (2026). Dataset supporting Pack and population level estimates of wolf pup survival in the Greater Voyageurs Ecosystem. Retrieved from the Data Repository for the University of Minnesota (DRUM), https://doi.org/10.13020/3p7c-mp48
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
Data for: Wolves alter the trajectory of forests by shaping the central-place foraging behavior of an ecosystem engineer
No full textDataset for Gable et al. 2023 where the authors describe how wolves indirectly alter the trajectory of forests by constraining the distance that beavers, a central place forager and prolific ecosystem engineer, forage from water. Specifically, Gable et al. demonstrate wolves wait-in-ambush and kill beavers on longer feeding trails than would be expected based on the spatiotemporal availability of beavers. This pattern is driven by temporal dynamics of beaver foraging: beavers make more foraging trips and spend more time on land per trip on longer feeding trails that extend farther from water. As a result, beavers are more vulnerable on longer feeding trails than shorter ones. Wolf predation appears to be a selective evolutionary pressure propelled by consumptive and non-consumptive mechanisms that constrain the distance from water beavers forage, which in turn limits the area of forest around wetlands, lakes, and rivers beavers alter through foraging. Thus, wolves appear intricately linked to boreal forest dynamics by shaping beaver foraging behavior, a form of natural disturbance that alters the successional and ecological states of forests.Gable, Thomas D; Johnson-Bice, Sean M; Homkes, Austin T; Fieberg, John R; Bump, Joseph K. (2023). Data for: Wolves alter the trajectory of forests by shaping the central-place foraging behavior of an ecosystem engineer. Retrieved from the University Digital Conservancy, https://doi.org/10.13020/vzn6-g462
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
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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