186,856 research outputs found
Bird's-Eye View of the Army Occupation, Corpus Christi, Texas, Oct. 1845
No full textIllustration of a field full of white tents and army personnel next to the Gulf of Mexico with ships on it
Extent of time that vessels were observed in inner Endicott Arm.
No full text<p>Number of 15 minute observation periods in inner Endicott Arm when zero, one, or more vessels were present for the following size categories: Large (>50m; tourism vessels, private vessels, and sailboats), Medium (≥4.5m <50m; private vessels, and sailboats), and Small (<4.5m; skiffs and inflatables). Only inner Endicott is shown because the majority of seal telemetry-detections occurred there.</p
Omphalina : newsletter of Foray Newfoundland and Labrador, vol. 04, no. 09 (14 October 2013)
No full textEditor's comments -- My descent into commercial picking / Walt Endicott -- Commercial picking 101 / Walt Endicott -- Chaga by choice, not by chance / Bill Bryden -- Collecting chaga in NL / Andrus Voitk -- Makings of a good mushroom year / Andrus Voitk -- The Bishop's sketchbook -- Where to find edibles / April Muirhead, Darin Brooks -- Testing the GIS / Andrus and Maria Voitk -- Mail basket -- Partners -- Notice.Frequency: irregular.Omphalina : newsletter of Foray Newfoundland and Labrador, "an amateur, volunteer-run, community, not-for-profit organization with a mission to organize enjoyable and informative amateur mushroom forays in Newfoundland and Labrador and disseminate the knowledge gained" (vol. 1, no. 2, p. 2)
Validity and reliability of the italian version of life,enjoyment and satisfaction questionnaire
No full textIntegration of national demographic-disturbance relationships and local data can improve caribou population viability projections and inform monitoring decisions
No full textSimulation results for Hughes, J., Endicott, S., Calvert, A.M. and Johnson, C.A., 2025. Integration of national demographic-disturbance relationships and local data can improve caribou population viability projections and inform monitoring decisions. Ecological Informatics, 87, p.103095. https://doi.org/10.1016/j.ecoinf.2025.103095.
Code required to run analyses and reproduce figures in this paper is available at https://github.com/LandSciTech/Caribou-Demographic-Projection-Paper, and in the caribouMetrics R package available on GitHub at https://github.com/LandSciTech/caribouMetrics/tree/EI-paper-submission
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe 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
Appropriate Similarity Measures for Author Cocitation Analysis
No full textWe 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
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