Repository Listing
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. This project is providing a direct assessment of the ecological effects of multiple-use zoning on inshore reefs of the GBRMP. Underwater visual census (UVC) monitoring of fish and benthic communities is being carried out at 50 no-take marine reserve (green zone) sites and at 50 sites that have remained open to fishing within the Palm, Magnetic, Whitsunday and Keppel Island groups. Long-term monitoring surveys are providing information on:
1. The effects of no-take marine reserves on populations of both species that are fished and other non-fished species.
The Wet Tropics World Heritage Area (WTWHA) is famous for its wildlife, biodiversity and natural beauty, but none of these important assets are bought or sold in the market place, so none are explicitly ‘valued’ with a price. Recognising that absence of price does not mean absence of value, this project seeks to improve our understanding of the importance of these non-market ‘values’ to a variety of different stakeholders. How important is a beautiful view or a cassowary to the community, to tourists and to the tourism industry?
This dataset presents the code written for the analysis and modelling for the Jellyfish Forecasting System for NESP TWQ Project 2.2.3.
This data set describes change in forest attributes over time in response to passive regrowth and biodiverse ecological restoration plantings across the southern Atherton uplands.
Pattern of seagrass distribution in the Great Barrier Reef World Heritage Area
This metadata is a brief overview of the National Environmental Science Program Tropical Water Quality (NESP TWQ) Hub. 
This dataset contains the voyage data from the crown-of-thorns starfish (COTS) control program operated by the Association of Marine Park Tourism Operators (AMPTO) from the Cairns to Lizard island region.
This dataset represents the aggregate of face to face surveys of 2743 visitors to the Great Barrier Reef World Heritage Area (GBRWHA) conducted in quarterly periods from June 2012 to June 2013.
This dataset contains the caffe deep-learning framework along with the setup for image aesthetic train and test code for the Algorithm data.