6 Works

Data from: PolyPatEx: an R package for paternity exclusion in autopolyploids

Alexander B. Zwart, Carole Elliott, Tara Hopley, David Lovell & Andrew Young
Microsatellite markers have demonstrated their value for performing paternity exclusion and hence exploring mating patterns in plants and animals. Methodology is well established for diploid species and several software packages exist for elucidating paternity in diploids, however these issues are not so readily addressed in polyploids due to the increased complexity of the exclusion problem and a lack of available software. We introduce PolyPatEx, an R package for paternity exclusion analysis using microsatellite data in...

Data from: Using decision trees to understand structure in missing data

Nicholas J. Tierney, Fiona A. Harden, Maurice J. Harden & Kerrie L. Mengersen
Objectives: Demonstrate the application of decision trees—classification and regression trees (CARTs), and their cousins, boosted regression trees (BRTs)—to understand structure in missing data. Setting: Data taken from employees at 3 different industrial sites in Australia. Participants: 7915 observations were included. Materials and methods: The approach was evaluated using an occupational health data set comprising results of questionnaires, medical tests and environmental monitoring. Statistical methods included standard statistical tests and the ‘rpart’ and ‘gbm’ packages for...

Data from: Avian diversification patterns across the K-Pg boundary: influence of calibrations, datasets and model misspecification

Daniel T. Ksepka & Matthew J. Phillips
Birds represent the most diverse extant tetrapod clade, with ca. 10,000 extant species, and the timing of the crown avian radiation remains hotly debated. The fossil record supports a primarily Cenozoic radiation of crown birds, whereas molecular divergence dating analyses generally imply that this radiation was well underway during the Cretaceous. Furthermore, substantial differences have been noted between published divergence estimates. These have been variously attributed to clock model, calibration regime, and gene type. One...

Data from: Tradeoffs between maize silage yield and nitrate leaching in a Mediterranean nitrate-vulnerable zone under current and projected climate scenarios

Bruno Basso, Pietro Giola, Benjamin Dumont, Massimiliano De Antoni Migliorati, Davide Cammarano, Giovanni Pruneddu, Francesco Giunta & Massimiliano De Antoni Migliorati
Future climatic changes may have profound impacts on cropping systems and affect the agronomic and environmental sustainability of current N management practices. The objectives of this work were to i) evaluate the ability of the SALUS crop model to reproduce experimental crop yield and soil nitrate dynamics results under different N fertilizer treatments in a farmer’s field, ii) use the SALUS model to estimate the impacts of different N fertilizer treatments on NO3- leaching under...

Data from: Systematic review: unmet supportive care needs in people diagnosed with chronic liver disease

Patricia C. Valery, Elizabeth Powell, Neta Moses, Michael Volk, Steven M. McPhail, Paul Clark & Jennifer Martin
Objective: People with chronic liver disease, particularly those with decompensated cirrhosis, experience several potentially debilitating complications that can have a significant impact on activities of daily living and quality of life. These impairments combined with the associated complex treatment mean that they are faced with specific and high levels of supportive care needs. We aimed to review reported perspectives, experiences and concerns of people with chronic liver disease worldwide. This information is necessary to guide...

Data from: Can impacts of climate change and agricultural adaptation strategies be accurately quantified if crop models are annually re-initialized?

Bruno Basso, David W. Hyndman, Anthony D. Kendall, Peter R. Grace & G. Philip Robertson
Estimates of climate change impacts on global food production are generally based on statistical or process-based models. Process-based models can provide robust predictions of agricultural yield responses to changing climate and management. However, applications of these models often suffer from bias due to the common practice of re-initializing soil conditions to the same state for each year of the forecast period. If simulations neglect to include year-to-year changes in initial soil conditions and water content...

Registration Year

  • 2015

Resource Types

  • Dataset


  • Queensland University of Technology
  • Michigan State University
  • Menzies School of Health Research
  • University of Newcastle Australia
  • University of Michigan-Ann Arbor
  • University of Queensland
  • University of Sassari
  • Commonwealth Scientific and Industrial Research Organisation
  • James Hutton Institute