4 Works

Data from: Coupling of diversification and pH adaptation during the evolution of terrestrial Thaumarchaeota

Cécile Gubry-Rangin, Christina Kratsch, Tom A. Williams, Alice C. McHardy, T. Martin Embley, James I. Prosser & Daniel J. Macqueen
The Thaumarchaeota is an abundant and ubiquitous phylum of archaea that plays a major role in the global nitrogen cycle. Previous analyses of the ammonia monooxygenase gene amoA suggest that pH is an important driver of niche specialization in these organisms. Although the ecological distribution and ecophysiology of extant Thaumarchaeota have been studied extensively, the evolutionary rise of these prokaryotes to ecological dominance in many habitats remains poorly understood. To characterize processes leading to their...

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: Simple measures of climate, soil properties and plant traits predict national scale grassland soil carbon stocks

Peter Manning, Franciska T. De Vries, Jerry R. B. Tallowin, Roger Smith, Simon R. Mortimer, Emma S. Pilgrim, Kate A. Harrison, Daniel G. Wright, Helen Quirk, Joseph Benson, Bill Shipley, Johannes H. C. Cornelissen, Jens Kattge, Gerhard Bönisch, Christian Wirth & Richard D. Bardgett
1. Soil carbon (C) storage is a key ecosystem service. Soil C stocks play a vital role in soil fertility and climate regulation, but the factors that control these stocks at regional and national scales are unknown, particularly when their composition and stability are considered. As a result, their mapping relies on either unreliable proxy measures or laborious direct measurements. 2. Using data from an extensive national survey of English grasslands, we show that surface...

Data from: Point process models for presence-only analysis

Ian W. Renner, Jane Elith, Adrian Baddeley, William Fithian, Trevor Hastie, Steven Phillips, Gordana Popovic & David I. Warton
1. Presence-only data are widely used for species distribution modelling, and point process regression models are a exible tool that has considerable potential for this problem, when data arise as point events. 2. In this paper we review point process models, some of their advantages, and some common methods of fitting them to presence-only data. 3. Advantages include (and are not limited to): clarification of what the response variable is that is modelled; a framework...

Registration Year

  • 2015
    4

Resource Types

  • Dataset
    4

Affiliations

  • University of Newcastle Australia
    4
  • Menzies School of Health Research
    1
  • VU University Amsterdam
    1
  • Stanford University
    1
  • University of Michigan-Ann Arbor
    1
  • Université de Sherbrooke
    1
  • University of Queensland
    1
  • University of Aberdeen
    1
  • University of Melbourne
    1
  • University of Manchester
    1