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This dataset contains parameter files, input files, and output files for application of the PnET-BGC model to the White Oak Run (WOR1) watershed in Shenandoah National Park, Virginia. This model application is described in the manuscript : Robison, A. L., & Scanlon, T. M. (2018). Climate change to offset improvements in watershed acid-base status provided by Clean Air Act and Amendments: A model application in Shenandoah National Park, Virginia. Journal of Geophysical Research: Biogeosciences,123. https://doi.org/10.1029/2018JG004519.
Data Types:
  • Dataset
  • File Set
Sound recordings cited in "Audio Textual: Modernism, Sound Recordings, and Networks of Reception", a dissertation submitted by Brandon Walsh in November 2015 to the UVA English department. The dissertation is available at https://doi.org/10.18130/V3R27G
Data Types:
  • Other
  • Dataset
  • Text
point cloud data from FARO Focus 130 3D scanner #2
Data Types:
  • Software/Code
  • Dataset
  • File Set
Software of Distance-X, a custom built alternate controller digital musical instrument. All software related to Jon Bellona's 2018 PhD Dissertation entitled, Physical Composition: The Musicality of Body Movement on Digital Musical Instruments.
Data Types:
  • Image
  • Dataset
  • File Set
Creative software related to Jon Bellona's 2018 PhD Dissertation entitled, Physical Composition: The Musicality of Body Movement on Digital Musical Instruments.
Data Types:
  • Dataset
  • File Set
Audio examples related to Jon Bellona's 2018 PhD Dissertation entitled, Physical Composition: The Musicality of Body Movement on Digital Musical Instruments.
Data Types:
  • Dataset
  • File Set
Fralin Museum 3D Artifact, Tibetan printing block, cat # 1992.8.161, wooden block with painted top and stained bottom, ca. 17th c.
Data Types:
  • Software/Code
  • Image
  • Dataset
  • File Set
scan data of The Aviator by Gutzon Borglum, data collected with a FARO Focus 3D 120 scanner
Data Types:
  • Software/Code
  • Dataset
  • File Set
The benchmark for relational keyword search is a collection of data sets, queries, and relevance assessments designed to facilitate the evaluation of systems supporting keyword search in databases. The benchmark includes three separate data sets with fifty information needs (i.e., queries) for each data set and follows the traditional approach to evaluate keyword search systems (i.e., ad hoc retrieval) developed by the information retrieval (IR) research community.
Data Types:
  • Dataset
  • File Set
Over the past two decades, severe mounta in pine beetle (MPB) outbreaks have affected several million hectares of forest in western North America. The extensive ecological and economic damage caused by widespread insect infestations make understanding the development and spread of MPB outbreaks critical. This study uses a time series of Landsat5 TM and Landsat7 ETM + images to map the spread of mortality due to MPB infestation in Arapaho–Roosevelt National Forest, Colorado, between 2003 and 2010. The Normalized Difference Vegetation Index (NDVI) and change in the Normalized Difference Moisture Index (NDMI) were used to classify red attack and non-red attack stands based on a maximum likelihood algorithm with manually selected training classes. The classification was validated by comparison with independent interpretations of aerial photography and high-resolution satellite imagery. The classification had good agreement (84.5–90.5% total accuracy). Cluster analysis for time series showed infestations originating in several different locations on the landscape early in the time series and subsequent infestations likely represent a combination of dispersal from outbreak populations and independent population growth. Analysis using conditional inference trees suggested that a combination of forest composition, topography, and dispersal predicted the distribution of MPB infestation on the landscape and that the importance of these variables changed as the outbreak developed. In early years, red attack was associated with forest and topographic characteristics known to influence susceptibility to MPB. Over time, beetle pressure became an increasingly important predictor of red attack, but in later years host tree availability played an important role in outbreak spread. If this pattern occurs consistently in MPB outbreaks, knowledge of these patterns could aid managers in targeting their efforts to reduce damage resulting from MPB outbreaks.
Data Types:
  • Software/Code
  • Image
  • Tabular Data
  • Dataset
  • Document
  • Text