Recent datasets
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.
This dataset is a working depiction only. For legal confirmation, refer to signed maps held at WTMA.
http://www.wettropics.gov.au/boundary-maps
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). See map for CSCZ boundary at: https://www.environment.gov.au/topics/marine/marine-reserves/coral-sea/c...
Methods:
The purpose of this study is to quantify spatial and temporal patterns in water quality of the GBR.
Surface water quality data collected by Miles Furnas and colleagues (AIMS) between 1988 and 2006. Niskin or bucket surface water samples and laboratory analyses of a suite of physical and chemical water quality data, including chlorophyll, suspended solids (SS), and the following nutrients: particulate phosphorus (PP), particulate nitrogen (PN), total dissolved phosphorus (TDP), total dissolved nitrogen (TDN), total phosphorus (TP = PP + TDP), total nitrogen (TN = PN + TDN).
This dataset contains contours generated from the Australian bathymetry and topography grid, June 2009 version 4 by Geoscience Australia. It contains depth contours for -20m, -40m, -100m, -200m and -400m.
Contours were generated in ArcMap using the Spatial Analyst Tools / Surface / Contour List tool. This output was then simplified using the Cartography Tools / Generalization / Smooth Line with a tolerance of 300m.
This dataset contains line and point features depicting contours across the Wet Tropics Bioregion as shown on the 1:50,000 scale National Topographic Maps.
The dataset derives from Geoscience Australias 1:50,000 scale National Topographic Map Series data.
Accuracy: Horizontal accuracy is at 90% of well-defined detail within +/- 25m of true position.
Data reproduced with permission of Wet Tropics Management Authority.
This dataset contains point features depicting spot heights for the Wet Tropics Bioregion.
The SpotHeight-250K dataset was sourced primarily from the 1:250 000 scale National Topographic Map Series (NTMS) and the Royal Australian Survey Corps Joint Operation Graphics (JOG) map reproduction material (repromat).
This dataset consists of a 25 MB shapefile containing 134,007 point features.
*Accuracy*
Horizontal accuracy is at 90% of well-defined detail within +/- 125m of true position. The dataset has an attribute accuracy of 100%.
The GEODATA TOPO 2.5M 2003 product is a national seamless data product aimed at regional or national applications. It is a vector representation of the Australian landscape as represented on the Geoscience Australia 1:2.5M general reference maps and is suitable for GIS applications.
It supersedes the TOPO 2.5M 1998 product by being developed according to GEODATA standards as described below. The data was derived from GEODATA TOPO 250K Series 2 data where available and GEODATA TOPO 250K Series 1 and has double precision accuracy.
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. Data was collected monthly and all camps in the region were monitored each month.
The purpose of this data set was to compile distributional, general life-history characteristics and phylogenies for Australian tropical rain forest vertebrates to inform a wide range of comparative studies on the determinants of biodiversity patterns and to assess the impacts of global climate change.
This dataset contains Landsat 5 imagery for selected areas of Queensland, currently Torres Strait and around Lizard Island and Cape Tribulation.
This collection was made as a result of the development of the Torres Strait Features dataset. It includes a number (typically 4 - 8) of selected Landsat images for each scene from the entire Landsat 5 archive. These images were selected for having low cloud cover and clear water. The aim of this collection was to allow investigation of the marine features.
This project seeks to ensure that planning for the future development of the Torres Strait Islands is sustainable and capable of taking into account ecological and social information, assets, risk and existing infrastructure.
This dataset shows (1) a raster spatial model of the distribution and relative density of dugongs (Dugong dugong) in the Torres Strait region based on an aggregate of 27 years (1987 - 2013) of systematic aerial surveys; and (2) a raster spatial model of the distribution and relative density of marine turtles (green turtles, Chelonia mydas) in the Torres Strait based on an aerial survey conducted in 2013.
This dataset shows a raster spatial model of the distribution and relative density of dugongs (Dugong dugong) in the Torres Strait region based on an aggregate of 24 years (1987 - 2011) of systematic aerial surveys.
This dataset shows a spatial model of the distribution and relative density of dugongs (Dugong dugong) in the Torres Strait region based on an aggregate of 19 years (1986, 1987, 1992, 1994, 1999, and 2005) of systematic aerial surveys. For more information on the methods used in the creation of this dataset see Grech. A., and Marsh. H. (2007) - Prioritising areas for dugong conservation in a marine protected area using a spatially explicit population model, Applied GIS, 3(2), 1-14.
This collection is a record of MODIS satellite imagery before, during and after severe cyclone Yasi in February 2011. This image series highlights the damage the cyclone makes to the rainforest areas around mission beach and the turbulence created off shore by the cyclone on the 5th February (2.5 days after the cyclone). It corresponds to the images and maps from the "Cyclone Yasi satellite image maps - before and after" article in the eAtlas. Use this dataset if you wish to recreate these maps.
70 selected reefs throughout the Great Barrier Reef (GBR) are sampled in the AIMS Long-term Monitoring Project (LTMP). Underwater visual census is used to survey reef fishes on fixed transects (3 sites per reef, 5 x 50 m transects per site). The abundance and length of all diurnally active, non-cryptic fishes are recorded. A full list of species observed each year can be obtained on request.
The overarching goal of LTMP fish surveys are to detect changes in reef fish communities over time at a regional scale, but also to examine the effectiveness of Marine Protected Areas.
This dataset shows the concentrations of the herbicide glyphosate remaining over time in a simulation flask persistence experiment conducted in 2013.
Glyphosate degradation experiments were carried out in flasks according to the OECD methods for ‘‘simulation tests’’. The tests used natural coastal seawater and were carried out in the incubator shakers under 3 conditions: (1) 25°C in the dark, (2) 31°C in the dark and (3) 25°C in the light. The light levels were ~40 µE on a 12:12 light:dark cycle and the flasks shaken at 100 rpm for up to 330 days.
This very large study is published in Pitcher et al. (2007). Its purpose was to quantify patterns in seabed biodiversity and inter-reefal environmental conditions throughout the GBR.
Towed Video surveys down to a depth of ~50 m was completed successfully at the following shoals (Baracuda East, Goeree Shoal, Vulcan Shoal). Sampling involved habitat classification conducted in real-time during the surveys, and taking photographic still image at 5s intervals for subsequent analysis as the cameras were towed across the shoals at a speed of 1-2 knots.
This project is a co-investment between PTTEPAA and AIMS, in order to build scientific knowledge on a number of shoal features in the area near Montara and was undertaken between 15 - 24 April 2013.
Towed Video surveys down to a depth of ~50 m was completed successfully all at the following 9 banks and shoals (Baracuda East and West Shoals, Sheldon Shoal, Wave Governor Bank, Heywood Shoal, Echuca Shoal, Goeree Shoal, Eugene McDermott Shoal, Vulcan Shoal). Sampling involved habitat classification conducted in real-time during the surveys, and taking photographic still image at 10 s intervals for subsequent analysis as the cameras were towed across the shoals at a speed of 1-2 knots.