7 Works

Estuarine fishes associated with intertidal oyster reefs characterised using environmental DNA and baited remote underwater video

Michael Stat
It has been widely shown that oyster reefs enhance local biodiversity and fisheries production. Therefore, in this study fish assemblages from oyster reefs were compared to sandy habitats using environmental DNA (eDNA) metabarcoding and baited remote underwater video. Fish diversity from eDNA was characterised using three metabarcoding assays - two that target the mitochondrial 16S region and one that targets the 12S region. Fish assemblages differed with each assay, as well as to that detected...

The impact of a promised financial incentive on response to a postal survey sent to Australian general practitioners: Dataset

Alison Zucca, Mariko Carey, Rob Sanson-Fisher, Joel Rhee, Balakrishnan Nair, Christopher Oldmeadow, Tiffany-Jane Evans & Simon Chiu

Pre and post data for the leadership coaching study

Peter Halliwell
The dataset consists of pre- and post-coaching quantitative assessments of organisational leaders obtained between 2016-2019 predominately located in Australia relating to the constructs emotional intelligence, leadership self-efficacy, open-mindedness, leadership behaviour and overall effectiveness. Extent: One file, MS CSV format containing 308 rows and 265 columns of data. This research was supported by an Australian Government Research Training Program (RTP) Scholarship.

Expropriation Risk and FDI in Developing Countries: Does Return of Capital Dominate Return on Capital?

M. Akhtaruzzaman, Nathan Berg & Christopher Hajzler
Previously reported effects of institutional quality and political risks on foreign direct investment (FDI) are mixed and, therefore, difficult to interpret. We present empirical evidence suggesting a relatively clear, statistically robust, and intuitive characterization. Institutional factors that affect the likelihood of an abrupt and total loss of foreigners’ capital (i.e., return of capital) dominate those that affect rates of return conditional on a strictly positive terminal investment value (i.e., return on capital). A one-standarddeviation reduction...

Prey preference of the chimpanzee Pan troglodytes

Cassandra Bugir
Chimpanzees Pan troglodytes are the closest extant relative of modern humans, and are often used as a model organism to help understand prehistoric human behavior and ecology. Originally presumed herbivorous, chimpanzees have been observed hunting 24 species of birds, ungulates, rodents, monkeys, and other primates, using an array of techniques from tools to group cooperation. Using the literature on chimpanzee hunting behavior and diet from 13 studies, we aimed to determine the prey preferences of...

Effects of high and low-efficacy therapy in secondary progressive multiple sclerosis

Izanne Roos, Emmanuelle Leray, Romain Casey, Dana Horakova, Eva Havrdova, Guillermo Izquierdo, Sara Eichau, Francesco Patti, Gilles Edan, Marc Debouverie, Jean Pelletier, Serkan Ozakbas, Maria Pia Amato, Pierre Clavelou, Pierre Grammond, Cavit Boz, Katherine Buzzard, Olga Skibina, Jonathan Ciron, Oliver Gerlach, Francois Grand'Maison, Jeannette Lechner-Scott, Charles Malpas, Helmut Butzkueven, Sandra Vukusic … & Tomas Kalincik
Objective: To compare the clinical effectiveness of high- and low-efficacy treatments in patients with recently active and inactive secondary progressive multiple sclerosis (SPMS) after accounting for therapeutic lag. Methods: Patients treated with high- (natalizumab, alemtuzumab, mitoxantrone, ocrelizumab, rituximab, cladribine, fingolimod) or low-efficacy (interferon β, glatiramer acetate, teriflunomide) therapies after SPMS onset were selected from MSBase and OFSEP, two large observational cohorts. Therapeutic lag was estimated for each patient based on their demographic and clinical characteristics....

Myxophies species location and environmental variables

Emy Guilbault, Ian Renner, Michael Mahony & Eric Beh
1. Species distribution modeling, which allows users to predict the spatial distribution of species with the use of environmental covariates, has become increasingly popular, with many software platforms providing tools to fit such models. However, the species observations used can have varying levels of quality and can have incomplete information, such as uncertain or unknown species identity. 2. In this paper, we develop two algorithms to classify observations with unknown species identities which simultaneously predict...

Registration Year

  • 2021
    7

Resource Types

  • Dataset
    6
  • Text
    1

Affiliations

  • University of Newcastle Australia
    7
  • Dokuz Eylül University
    1
  • Hospices Civils de Lyon
    1
  • University of Rennes 1
    1
  • Hospital Universitario Virgen Macarena
    1
  • Centre Hospitalier Universitaire de Toulouse
    1
  • University of Clermont Auvergne
    1
  • University of Melbourne
    1
  • University of Otago
    1
  • University of Lyon System
    1