51 research outputs found

    Finding LGBTQ+ Materials at the UNH Library and Beyond

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    Describing Absence: An Analysis of the Utah American Indian Digital Archive

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    presentationPresentation given at the Utah Library Association Conference, Sandy, Utah

    A study of consumer reaction to educational pharmaceutical advertising.

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    Thesis (M.S.)--Boston Universit

    Digital Atlas of American Religion

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    poster abstractOur poster presentation will introduce DAAR, the Digital Atlas of American Religion (http://www.religionatlas.org). DAAR is a web-based research platform with innovative data exploration and visualization tools to support research in the humanities. Time and location are essential components of humanities exploratory research; however, GIS technology, especially in its web form, does not support the easy exploration and visualization of the complex spatio-temporal data manipulated by humanists. DAAR presents researchers with an integrated solution stemming from several fields including GIS, visualization, and classification theory. Researchers using DAAR are provided with the following exploration/visualization techniques: maps, cartograms, tree maps, pie charts, and motion charts. Using these tools and methods, researchers can explore patterns, trends, and relationships in the data that otherwise are not apparent with traditional GIS or statistical software. DAAR allows researchers to understand the multiple dimensions and diversity of religion across geographies, or within geographies. Paired with historic census data, it allows them to explore relationships to give better context and meaning to the patterns and trends. Maps provide the spatial patterns and relationships, tree maps show relative strength and relationships, charts show trends, cartograms reveal relative numbers of adherence, and motion charts animate trends over time

    SAVI Data Catalog

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    The SAVI Community Information System (SAVI) is the nation’s largest spatially-enabled system of its type, providing local organizations, researchers, and involved citizens with the detailed, geographically precise information needed to make well-informed decisions. This data catalog describes the wealth of free data provided by SAVI, including data about the social, physical, and economic conditions of Central Indiana communities from counties to neighborhoods and census tracts, as well as information on thousands of non-profit and community-based organizations and programs. SAVI exists as a Web-based, interactive system that allows users to create custom maps, graphs, charts, and data profiles of over 2,000 Central Indiana communities.United Way of Central Indian

    Guidelines for OLAC Video Game Genre Terms (olacvggt)

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    A thesaurus of video game genre terms with a corresponding MARC authority record

    Cape Sable Seaside Sparrow Habitat – Vegetation Monitoring: FY 2009 - Final Report

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    This document summarizes the activities that were accomplished in FY 2009 on the research project “Cape Sable seaside sparrow habitat – Vegetation Monitoring”, a collaborative effort among the US Army Corps of Engineers, Florida International University, and the US Geological Survey. The major activities in 2009 included field work, data analysis and presentations. The results of 2009 field work were presented at the 4th International Congress of Fire Ecology and Management, Savannah, GA from November 30 to Dec 5, 2009 and at the Cape Sable seaside sparrow (CSSS) Fire Meeting, held at the Krome Center, Homestead, FL on December 8, 2009. Field sampling was conducted between March 23 and June 3, 2009, during which we resurveyed 234 sites: 191 Census sites, 3 sites on Transect B, 7 sites on Transect D, and 33 sites on Transect F. The number of sites sampled in 2009 was higher than in any previous year, primarily because a large number of sites burned in Mustang Corner fire and three other wild fires in 2008 were included in 2009 sampling. At all sites surveyed in 2009, we recorded structural and compositional vegetation parameters following the methods used in previous years (2003-2008) and tagged shrubs and trees (woody plants \u3e 1 m) present in the 5 x 60 m plots. In addition, for the first time, we measured height of sawgrass (Cladium jamaicense) stubble in the compositional plots at the sites that were burned in 2008. Field data were entered by field crews, and were thoroughly checked by Jay Sah (Co-PI) to ensure that the data were complete, correct, and compliant with sampling methodologies. The data are stored under a project folder on a shared network drive maintained by the Southeast Environmental Research Center (SERC) at FIU. The shared network drive is backed up daily

    SAVI Public Health Needs Assessment: Final Report and Recommendations

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    This report summaries the 2007 assessment of current and projected health sector uses of the SAVI Community Information System (SAVI) and recommends SAVI enhancements to meet the information needs of decision makers, practitioners, and researchers. Based on focus groups and key informant interviews, it was discovered that local decisionmakers and practitioners in Central Indiana currently used SAVI, or would like to use SAVI, to assess the relative spatial demand and supply of health and human services, select sites for new health and human service facilities, assess patient access to health and human service facilities, select locations for services and programs, and track characteristics of facility catchment areas. Health practitioners and public health professionals were interested in using geospatially-enabled indicators for more effective planning and interventions, including to track public health outcomes, understand the socio-economic and physical environment of individual patients and communities, locate target populations for existing and potential health programs and services, support grant applications, and inform the public about environmental risk factors and disease prevalence in their communities. Clinical translational and public health researchers are using, or would like to use, geospatially-enabled measures for the study of social and environmental determinants of health, health disparities, environmental exposure and health risk, predictors of health knowledge, ecological models of health behavior, health service access, quality, and cost, and efficacy of health interventions. Detailed recommendations are provided for both short- and long-term enhancements to SAVI based on the existing and potential SAVI users and uses identified via this study and toward assisting the local health sector improve health knowledge and ultimately the health and wellbeing of Central Indiana communities.United Way of Central Indian

    The Bright Ages Survey. I. Imaging Data

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    This is the first paper in a series presenting and analyzing data for a K-selected sample of galaxies collected in order to identify and study galaxies at moderate to high redshift in rest-wavelength optical light. The sample contains 842 objects over 6 separate fields covering 75.6 arcmin^2 down to K=20-20.5. We combine the K-band with UBVRIzJH multi-band imaging, reaching depths of R~26. Two of the fields studied also have deep HST WFPC2 imaging, totaling more than 60 hours in the F300W, F450W, F606W, and F814W filters. Using artificial galaxy modeling and extraction we measure 85% completeness limits down to K=19.5-20, depending on the field examined. The derived K-band number counts are in good agreement with previous studies. We find a density for Extremely Red Objects(EROs; R-K>5) of 1.55+/-0.16 arcmin^{-2} for K<19.7, dominated by the 1714+5015 field (centered on 53w002), with an ERO number density more than 3 times that of the other sample fields. If we exclude the counts for 1714+5015, our density is 0.95+/- 0.14 arcmin. Both ERO densities are consistent with previous measurements due to the significant known cosmic variance of these red sources.Keck spectroscopic redshifts were obtained for 18 of the EROs, all but one of which are emission galaxies. None of the EROs in the 1714+5015 field for which we obtained spectroscopic redshifts are associated with the known z=2.39 over-density, although there are three different galaxy redshift pairs (z=0.90, z=1.03, z=1.22).Comment: 30 pages, 5 figures, accepted by Ap
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