Repository Listing
This dataset contains the caffe deep-learning framework along with the setup for image aesthetic train and test code for the Algorithm data.
This dataset consists of summaries of benthic, fish and manta tow surveys conducted in the Capricorn-Bunker Region of the Great Barrier Reef in October 2015. It consists of three tables:
The purpose of this study was to quantify patterns in skeletal density, linear extension and calcification throughout the GBR based on the AIMS Coral Core Archive of 328 colonies of massive Porites from 69 reefs.
Using a quantitative genetics approach, the proportion of the variance in thermal tolerance traits that has a genetic basis (i.e.
This dataset shows the concentrations of the herbicide glyphosate remaining over time in a simulation flask persistence experiment conducted in 2013.
This project will determine the movement and habitat use of large predatory fishes such as sharks and coral trout in reef and coastal environments of the Great Barrier Reef. This project will employ acoustic monitoring technology in a series of inshore and offshore environments including coastal bays, inshore reefs and offshore reefs to monitor the presence and movements of predator species (elasmobranchs and teleosts).
This dataset contains the estimated distribution and abundance of cassowaries across the Wet Tropics Region and the sub-regions used in these estimates. The key areas for cassowary conservation are those with the highest densities and abundance.
The purpose of this study is to quantify spatial and temporal patterns in water quality of the GBR.
This dataset shows the ocean side boundary of the Great Barrier Reef Marine Park, excluding the inner boundary along the Queensland coastline.
This data set contains life history data from 46 species of coral reef fish from four families (see list below).