Recent datasets

This dataset contains maps of alluvial and hillslope gullies across four large blocks of lidar covering portions of the Burdekin, Fitzroy, and Normanby Catchments. The gully polygons were generated using methods developed in the NESP 5.10 project for the extraction of gullies from lidar. Lidar is detailed topographic data collected from aircraft using an airborne laser scanning system. A significant component of the cause of declining water quality and the health of the GBR is increased land based erosion leading to sediment pollution within the rivers draining into the GBR lagoon.

This dataset contains the results of the real-time water quality monitoring program (RTWQM) conducted across the Russell-Mulgrave catchment (south of Cairns) for "Project 25". Project 25 spanned two (2) NESP TWQ projects: 2.1.7 (2016 - 2018) and 4.8 (2019 - 2020), with the dataset for Project 4.8 also containing the data for Project 2.1.7. Data is the result of 2-3 hourly in situ logging of stream height (in metres) and nitrate concentrations (mg/L). This dataset is under an embargo period for 18 months from the completion of the project extension (NESP TWQ 4.8).

This dataset is the genome assembly of the staghorn coral Acropora millepora. Tissue samples were collected along the Central Great Barrier Reef during the 2017 mass bleaching event. Tissue was collected from a range of individual exhibiting both bleaching and non-bleaching phenotypes. A range of phenotypic analysis were conducted and linked to the genomic sequencing data provided here. The A.millepora genome (Scaffold N50 =1.23 Mb) draft assembly was constructed from a combination of PacBio and Illumina paired-end reads with 10X Genomics barcodes.

This data set contains high frequency logging data to measure water depth, water temperature and electrical conductivity in project wetland sites. Coastal wetlands adjacent to the Great Barrier Reef (GBR) have incredible environmental, cultural and economic value. Despite this, many floodplains in the GBR catchments have been modified, impacted or lost entirely because of continuing land use change (such as agricultural, aquaculture, peri-urban/urban, and industrial expansion).

The last stream within the NESP 5.5 project was related to the conduct of an online survey to get aesthetic ratings of additional 3500 images downloaded from Flickr to improve the Artificial Intelligence (AI)-based system recognising and assessing the beauty of natural scenes, which had been developed in the previous NESP 3.2.3 project. Despite some earlier investment into this research area, there is still a need to improve the tools we use to measure the aesthetic beauty of marine landscapes.

Organizing focus groups was used as an effective qualitative research method to examine collective opinions of participants on a specific topic. Within NESP 5.5 project, focus groups consist of an exploratory study to explore the psychological antecedents of human aesthetic assessment of underwater sceneries at the GBR among three groups of different cultural backgrounds: Chinese, non-indigenous Australians and First People Australians. Focus group folder contains one dataset report, and three folders (Australian, Chinese, First People) with seven images.

The second stream within the NESP 5.5 project was conducted using eye-tracking technology to examine possible differences between three participant groups in evaluating the aesthetic beauty of GBR underwater sceneries. This research continue the efforts initiated in the previous NESP 3.2.3 project to explore the power of eye-tracking as an objective measure of human aesthetic assessment of GBR underwater sceneries.

This data set provides detailed information about the chemical composition, bioavailability and relative abundance of organic compounds in plant material and the organic associated with soil and sediment samples collected from terrestrial and marine environment of the Great Barrier Reef. *This dataset is currently under embargo.

The dataset contains the particle size distribution analysis (on a Malvern Mastersizer 3000 laser diffraction) and major and trace element geochemistry data for end of river and flood plume samples from the 2017, 2018 and 2019 Burdekin flood events as well as for the 2017 and 2018 Tully flood events. Additional data are provided from the Ross River, Haughton River and Johnstone River. This dataset is currently under embargo. The grain size data were analysed following treatment with H2O2 which is designed to remove the organic material from the samples.

This dataset documents the spatial and temporal variability of resuspension events and sediment dynamics at seven Great Barrier Reef Lagoon inshore locations using continuous logger data (10 min sampling intervals) over 3 ½ years and analysed the quantity of sediment collected in newly designed sediment traps. The dataset highlights the influence of river discharge events on sediment dynamics across these locations. *This dataset is currently under embargo. The key point to note is that this project is primarily interested in the turbidity (SSC), wave pressure and light data.

This dataset describes the predicted distribution of seagrass communities across the Great Barrier Reef World Heritage Area and adjacent estuaries, based on six multivariate regressions tree models for estuary intertidal, estuary subtidal, coastal intertidal, coastal subtidal, reef intertidal, and reef subtidal. The models are presented as six raster datasets with 30m resolution. Managing seagrass resources in the GBRWHA requires adequate information on the spatial extent of seagrass communities.

This dataset presents two excel spreadsheets containing the transect-based estimates of biomass carbon and condition score of study sites. The health of the Great Barrier Reef (GBR) is threatened by excessive delivery of sediments (and the pollutants they carry) to the marine environment. Remediation of riparian vegetation is considered an important mechanism for reducing stream bank erosion, improving water quality, and subsequently GBR health outcomes.

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. The models have been mosaicked together into one raster dataset with 30m resolution. Managing seagrass resources in the GBRWHA requires adequate information on the spatial extent of seagrass habitat.

This dataset presents the raw data obtained from 1415 online and representative Australian that were asked to aesthetically rate 180 photos of typical coral reef landscapes. Mean aesthetic ratings of 180 photos were collected from the survey, as well as from an expert research team, contributing mean ratings of coral reef health, coral cover, coral pattern, coral topography, fish abundance, and visibility. Please note that CSIRO have published a version of this dataset on 29 May 2019, which should be considered the primary source of data information (i.e.

This dataset consists of monitoring data from macroalgae removal and larval seeding experiments in Florence and Arthur Bay at Magnetic Island, Queensland, Australia, collected between 2018-2020. There were twelve 5x5m permanent plots in each bay; three with macroalgae removal only, three with larval seeding only, three with macroalgae removal and larval seeding and three control plots.

P2R.data.reader.v041220 with Header.R This is a block of R code written for NESP Tropical Water Quality Hub Project 3.1.6 The software uses data supplied from the Queensland Government’s Paddock to Reef (P2R) modelling system, and other publicly available data, to generate plots of supply curves for water quality credits in dissolved inorganic nitrogen (DIN) for the main catchments in the Wet Tropics. The aim of Project 3.1.6 was to compare the cost of supplying DIN credits from various sources with the prices that potential credit buyers would be willing to pay for those credits.

This data set contains high frequency logging data to measure water depth, water temperature and electrical conductivity in project wetland sites. In addition fish catch data in wetlands recorded during this project, using electro-fish boat. Coastal wetlands adjacent to the Great Barrier Reef (GBR) have incredible environmental, cultural and economic value. Despite this, many floodplains in the GBR catchments have been modified, impacted or lost entirely because of continuing land use change (such as agricultural, aquaculture, peri-urban/urban, and industrial expansion).

This dataset consists of one spreadsheet, which shows the survival, number of polyps and ability to remove sediment of up to fourteen weeks old Acropora millepora coral recruits while being exposed to three different climate scenarios resembling current climate conditions and conditions expected by mid and end of the century. Coral recruit resilience towards sedimentation was tested by exposing the recruits either five- and ten-weeks following settlement (experiment 1) or only ten-weeks following settlement (experiment 2).

This dataset explores a new approach to predict coral bleaching events. It uses a temperature anomaly map to create a spatially dynamic temperature threshold for the calculation of degree heating weeks (DHW) instead of using a static constant. The dynamic threshold was used to classifies map areas with low, medium or high risk of coral bleaching for years 2016 and 2017.

The dataset consist consists of two (A-B) csv files and one excel file (E). File A shows 1) the absolute percentage total cover and that of specific coral growth forms: Acropora tabular, Acropora branching, other branching species, and massive/submassive species surveyed at 5-9 m depth on 122 reefs (335 reef sites) by the AIMS Long-Term Monitoring Program (LTMP) and Marine Monitoring Program (MMP) between 1992 and 2017 and 2) the long-term average exposure of each reef to variable conditions in water quality (e.g.