Repository Listing
This project uses genetic parentage analysis, biophysical modelling and information on coral trout larval behaviour to determine patterns of recruitment of coral trout larvae within and among inshore and offshore reefs in the southern Great Barrier Reef. The overall goal of this project will be to assess larval dispersal patterns, demographic connectivity and levels of recruitment subsidies from green zones at a regional scale. Tasks include:
This data set shows the occupancy and size of spectacled flying-fox camps across the distribution of the spectacled flying-fox in the Wet Tropics Region. Camp locations are also provided. The low-lying islands of the Torres Strait are vulnerable to climate change and the region faces a range of pressures including a growing population, future climate change, potential pollution as a result of rapid mining and resources development in Papua New Guinea, and increased shipping. Through participatory scenario planning with Torres Strait and PNG communities and stakeholders, informed by integrated ecosystem and climate modelling this project will identify ‘best bet’ strategies to protect livelihoods and achieve sustainable economic development. Tasks include:
This dataset measures 5 effects of temperature and pH stressors (individual and combined) on tropical Foraminifera. The effects measured are: respiration, survivorship, growth, chl-a content and photochemistry.
This dataset consists of two data files (spreadsheets) from a 15 days experiment simulating the combined effects of climate change (manipulated temperature and pCO2 from present days and predicted for 2050 and 2100) and diuron contamination.
This study characterises spatial patterns in water clarity.
This dataset is consists of modelled habitat suitability of coastal seagrass distribution in the wet and dry seasons along the Great Barrier Reef World Heritage Area coastline.
This metadata is a brief overview of the National Environmental Science Program Tropical Water Quality (NESP TWQ) Hub. The exposure of Great Barrier Reef coral reef and seagrass ecosystems to contaminants is estimated from the synthesis of: river discharge, water quality data sampled in inshore sites during flood conditions and the use of remote sensing technology to estimate flood plume extents and duration.
River discharge:
This dataset contains the caffe deep-learning framework along with the setup for image aesthetic train and test code for the Algorithm data.