3 Works

Data from: Vocal traits and diet explain avian sensitivities to anthropogenic noise

Clinton D. Francis
Global population growth has caused extensive human-induced environmental change, including a near-ubiquitous transformation of the acoustical environment due to the propagation of anthropogenic noise. Because the acoustical environment is a critical ecological dimension for countless species to obtain, interpret and respond to environmental cues, highly novel environmental acoustics have the potential to negatively impact organisms that use acoustics for a variety of functions, such as communication and predator/prey detection. Using a comparative approach with 308...

Data from: Toward synthesizing our knowledge of morphology: using ontologies and machine reasoning to extract presence/absence evolutionary phenotypes across studies

Thomas Alexander Dececchi, James P. Balhoff, Hilmar Lapp & Paula M. Mabee
The reality of larger and larger molecular databases and the need to integrate data scalably have presented a major challenge for the use of phenotypic data. Morphology is currently primarily described in discrete publications, entrenched in noncomputer readable text, and requires enormous investments of time and resources to integrate across large numbers of taxa and studies. Here we present a new methodology, using ontology-based reasoning systems working with the Phenoscape Knowledgebase (KB; kb.phenoscape.org), to automatically...

Data from: Using the Phenoscape Knowledgebase to relate genetic perturbations to phenotypic evolution

Prashanti Manda, James P. Balhoff, Hilmar Lapp, Paula Mabee & Todd J. Vision
The abundance of phenotypic diversity among species can enrich our knowledge of development and genetics beyond the limits of variation that can be observed in model organisms. The Phenoscape Knowledgebase (KB) is designed to enable exploration and discovery of phenotypic variation among species. Because phenotypes in the KB are annotated using standard ontologies, evolutionary phenotypes can be compared with phenotypes from genetic perturbations in model organisms. To illustrate the power of this approach, we review...

Registration Year

  • 2015

Resource Types

  • Dataset


  • National Evolutionary Synthesis Center
  • University of South Dakota
  • California Polytechnic State University
  • Duke University
  • University of North Carolina