1,720,981 research outputs found
GeoTiff Data Curation Primer
No full textThis work was created as part of the “Specialized Data Curation” Workshop #3 held at Washington University in St. Louis, MO on November 5-6, 2019.Institute of Museum and Library Services RE-85-18-0040-18Kearney, Courtney; Ruhs, Nick; Sedlins, Mara; Tien, Tracy; Trelogan, Jessica; Watts, John. (2020). GeoTiff Data Curation Primer. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/216574
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Texas Data Repository: First Annual Report for 2017-2018 at UT-Austin.
No full textUT Librarie
Extracted raster datasets from the "Gridded Soil Survey Geographic Database for Texas"
No full textRaster datasets extracted from the Texas gSSURGO file geodatabase. Files were processed in ArcGIS software to extract a number of different datasets, saved as individual raster datasets for ease of reuse.
Soil Survey Staff. Gridded Soil Survey Geographic (gSSURGO) Database for Texas. United States Department of Agriculture, Natural Resources Conservation Service. Available online at http://datagateway.nrcs.usda.gov/. 20180917 (FY2019 official release).
The U.S. Department of Agriculture, Natural Resources Conservation Service, are acknowledged as the data source for the products from which these datasets were derived.This dataset is not designed for use as a primary regulatory tool in permitting or siting decisions, but may be used as a reference source. This is public information and may be interpreted by organizations, agencies, units of government, or others based on needs; however, they are responsible for the appropriate application. Federal, State, or local regulatory bodies are not to reassign to the Natural Resources Conservation Service any authority for the decisions that they make. The Natural Resources Conservation Service will not perform any evaluations of these maps for purposes related solely to State or local regulatory programs. Digital data files are periodically updated. Files are dated, and users are responsible for obtaining the latest version of the data
Before Writing, Volume II
No full textIn this volume, Schmandt-Besserat presents the primary data on which she bases her theories of the development of writing. These data consist of several thousand tokens, catalogued by country, archaeological site, and token types and subtypes. The information also includes the chronology, stratigraphy, museum ownership, accession or field number, references to previous publications, material, and size of the artifacts. Line drawings and photographs illustrate the various token types
Buildings of Texas (Beta v. 0.1)
No full textThe Buildings of Texas collection contains source materials for the Society of Architectural Historian’s two-volume publication “The Buildings of Texas.” Data gathered by the research team and donated as part of the collection includes information about people, places, and events across the state.
Dataset produced from the spreadsheet donated by Gerald Moorhead and created by researchers collecting data for the publication. See the Buildings of Texas original dataset for the dataset as received: https://doi.org/10.18738/T8/M45YL8.
Buildings of Texas V1 is the most complete, accurate, and enhanced version of the data, while beta versions represent works in progress.
In Beta v. 0.1, Architects and other contributor names have been normalized and building types have been added to portions of the dataset. Built works with identifiable locations have been geocoded
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Modeling Environmental Suitability for Establishment of Burkholderia pseudomallei in Texas
Full text linkThis poster was presented at the 2022 James Steele Conference on Diseases in Nature Transmissible to Humans that was held online on June 7th and 9th, 2022.Burkholderia pseudomallei is a soil- and water-borne bacterial pathogen that is the etiological agent of the disease melioidosis. Melioidosis is prevalent in the tropics and agricultural workers are amongst those at risk because of the potential of their work to contact contaminated soils. In addition, disease occurrence is increasingly being reported in regions north and south of the tropics and in 2019 Texas was declared endemic for melioidosis by the CDC. In this project we are using GIS software to process, analyze, and map data pertaining to melioidosis occurrence and factors such as climate and soil conditions that permit survival of the organism in different environmental niches. Keys aims of our research are to identify geographical regions where B. pseudomallei may be present in the environment but not yet detected in Texas and elsewhere in the world; and to predict where the organism might be able to spread and become established in the future. The automation of the research workflow through the use of Python using scripted processes allows these maps to be updated as new data become available such as reports of disease occurrence.This work has been supported by Planet Texas 2050, a research grand challenge at the University of Texas at Austin.UT Librarie
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
Full text linkWe 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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