1,720,961 research outputs found
Workshop_Data
This contains data used for the Data & Donuts workshop on R for Data Analysis and Visualization in Fall 2019. The three files were modified from 2018 EIA Form 860 Data
US_states
This dataset contains the shapefile for boundaries of the lower 48 states in the United States. These data were modified from tl_2018_us_state.zip
https://www.census.gov/cgi-bin/geo/shapefiles/index.php?year=2018&layergroup=States+%28and+equivalent%2
state_interstates_demo
This script is written for use with RStudio and was used for the demonstration in the Data & Donuts R for Geospatial Analysis worksho
US_Interstates
This dataset is a shapefile containing spatial lines data for interstates in the lower 48 states of the United States. These data were modified from http://opendata.dc.gov/datasets/fad13f5c12d946448dc8eb532664903f_1/dat
BECCS Negative Emission Potential Data
Related datasets and code for the paper Negative Emissions Potential of BECCS via Conversion of Coal Power Plants in the U.S., E.A. Beagle and E.L. Belmon
Data for: Effect of Hydrogen Leakage on the Life Cycle Climate Impacts of Hydrogen Supply Chains
Data to support the modeling and replicate the results and figures for manuscript: Effect of Hydrogen Leakage on the Life Cycle Climate Impacts of Hydrogen Supply Chain
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
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