Repository Listing
This phase of Project 3DGBR involved manual digitising of geomorphic map boundaries for the key seafloor features identified in the gbr100 grid, particularly for the inter-reefal area on the GBR shelf and in the Coral Sea Conservation Zone (CSCZ).
This dataset contains polygon features that represent the zoning classification of lands within the Wet Tropics World Heritage Area, according to the Wet Tropics Management Plan 1998.
Turbidity is a measure of water clarity that quantifies the amount of small particles suspended in the water, and is a fundamental environmental parameter influencing coastal marine ecosystems. Turbidity reduces the light needed for photosynthesis by corals and seagrasses, and suspended particles also transport nutrients, pollutants and diseases. Previous research based on 3 years of turbidity data collected from 15 inshore reefs by the Reef Rescue Marine Monitoring Program has shown that it can take several months for water clarity to improve after river floods.
This localised study of the recruitment of marine invertebrates on terracotta tiles around Masig (Yorke), Kodall and Marsden Islands commenced in March 2006 and ended in June 2009.
This dataset describes the predicted probability of seagrass presence across the Great Barrier Reef World Heritage Area and adjacent estuaries, based on six Random Forest models.
This dataset resulted from two inter-linked research streams. The first stream was related to the application of eye-tracking technology and an online survey in studying natural beauty.
This dataset shows the spatial distribution of the number of visitors to the Great Barrier Reef Marine Park based on visitation rates collected from the Environmental Management Charge (EMC) managed by GBRMPA. This project is conducting surveys of frogs and other vertebrates in ecotonal areas of the Wet Tropics and Eungella.
This data contains consists of one Excel spreadsheet file containing the thermal stress data used to develop the Species Sensitivity Distribution described in the publication: Negri, A.P., Smith, R.A., King, O., Frangos, J., Warne, M.
This generated data set contains summaries (daily, monthly, annual) of the eReefs CSIRO biogeochemistry model v3.1 (htt