1,721,202 research outputs found
Fungal Endophytes of Pacific Northwest Beachgrasses Dataset
No full textThis dataset includes three files and a documentation file readme.txt. "si.quadrats.csv" includes the location of quadrats sampled and plant cover within quadrats. "si.plants.csv" includes the plants sampled and isolation frequency. "si.seqs.csv" includes the sequence names and their corresponding GenBank Accession numbers and operational taxonomic units (OTUs).Leaf and root endophytes sampled from 3 species of grass (Elymus mollis, Ammophila arenaria, and Ammophila breviligulata) and 3 dune locations (front, crest, back) at 5 sites in the Oregon and Washington, USA in Aug-Sept 2011.David, Aaron S; Seabloom, Eric W; May, Georgiana. (2015). Fungal Endophytes of Pacific Northwest Beachgrasses Dataset. Retrieved from the University Digital Conservancy, http://dx.doi.org/10.13020/D68G60
BigFert-Data-Descriptions
No full textDescription of remaining data files. Additional publication associated with these data : Seabloom, Eric W., et al. "Richness and composition of niche-assembled viral pathogen communities." PLoS One 8.2 (2013): e55675
Data Files for Beachgrass Invasion and Root-Associated Fungi Studies
No full textFull descriptions of the files and their variables are included in the readme.txt documentation file.Datasets for beachgrass experiments conducted in the field and growth chamber. The overall goals of the experiments to understand the ecological factors underlying community assembly of fungal endophytes found in beachgrass roots, and to understand the drivers behind beachgrass invasion. Files include plant measurements, fungal colonization, and fungi identified using culture-based and next-generation Illumina sequencing.NSF Integrative Graduate Education and Research Traineeship Introduced Species and Genotypes program (DGE-0653827)NSF Graduate Research Fellowship program (NSF 00039202)Puget Sound Mycological Society Ben Woo FellowshipUniv. of Minnesota Rothman FellowshipNSF Dimensions of Biodiversity (DEB 1045608)Environmental Protection Agency (EPA/NCER R833836)David, Aaron S; Seabloom, Eric W; May, Georgiana. (2016). Data Files for Beachgrass Invasion and Root-Associated Fungi Studies. Retrieved from the University Digital Conservancy, http://doi.org/10.13020/D6S88B
General destabilizing effects of eutrophication on grassland productivity at multiple spatial scales
Get PDFFil: Hautier, Yann. Utrecht University. Department of Biology. Ecology and Biodiversity Group. The Netherlands.Fil: Zhang, Pengfei. Utrecht University. Department of Biology. Ecology and Biodiversity Group. The Netherlands. - Lanzhou University State. School of Life Science. Key Laboratory of Grassland and Agro - Ecosystems. People’s Republic of China. - Institute of Eco-Environmental Forensics of Shandong University. People’s Republic of China. - Ministry of Justice Hub for Research and Practice in Eco - Environmental Forensics. People’s Republic of China.Fil: Loreau, Michael. Centre for Biodiversity Theory and Modelling. Theoretical and Experimental Ecology Station.CNRS. France.Fil: Wilcox, Kevin R. University of Wyoming. Department of Ecosystem Science and Management. Laramie, WY, USA.Fil: Seabloom, Eric W. University of Minessota. Department of Ecology, Evolution, and Behavior. Minessota, USA.Fil: Tognetti, Pedro Maximiliano. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura (IFEVA). Buenos Aires, Argentina. - CONICET – Universidad de Buenos Aires. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura (IFEVA). Buenos Aires, Argentina.Eutrophication is a widespread environmental change that usually reduces the stabilizing effect of plant diversity on productivity in local communities. Whether this effect is scale\ndependent remains to be elucidated. Here, we determine the relationship between plant diversity and temporal stability of productivity for 243 plant communities from 42 grasslands\nacross the globe and quantify the effect of chronic fertilization on these relationships.\nUnfertilized local communities with more plant species exhibit greater asynchronous dynamics among species in response to natural environmental fluctuations, resulting in greater local stability (alpha stability). Moreover, neighborhood communities that have greater spatial variation in plant species composition within sites (higher beta diversity) have greater spatial synchrony of productivity among communities, resulting in greater stability at the larger scale (gamma stability). Importantly, fertilization consistently weakens the contribution of plant diversity to both of these stabilizing mechanisms, thus diminishing the positive effect of biodiversity on stability at differing spatial scales. Our findings suggest that preserving grassland functional stability requires conservation of plant diversity within and among ecological communities.grafs
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
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
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