Recent datasets
This dataset summarises intertidal benthic surveys of Kai and Gariar Reefs (Orman Reefs, Torres Strait) in September 2019 into 3 GIS shapefiles. (1) The site shapefile describes (a) seagrass presence/absence and (b) species composition at 124 sites. (2) The meadow shapefile describes seagrass communities for the two reef-top meadows. (3) The interpolation shapefile describes variation in seagrass biomass across sites for the two reef-top meadows.
This dataset is a compilation of available ocean temperature data, aerial and in-water bleaching observations during the 2016 and 2017 bleaching events on the Great Barrier Reef in order to estimate the total reef area impacted by coral bleaching and thermal heat stress. A total of 982 reefs (56.8% reef area of the GBR) were surveyed in 2016 and 781 reefs (50.9% reef area of the GBR) surveyed in 2017.
This dataset contains processed satellite imageries of the Golf of Papua - Torres Strait (GP-TS) region. It includes:
- 12-year (mid 2008-mid 2019) of daily MODIS water type images (Wet season colour scale), and summaries (seasonal, annual, long term, difference composite maps)
- 1 year (2019) of weekly Sentinel-3 water type images (Forel-Ule colour scale)
** This dataset is currently under embargo until 31/01/2022.
This dataset corresponds to the zoning of Commonwealth Marine Parks managed by Parks Australia.
This metadata is a non-authoritative extract maintained for the eAtlas. See links for the original and full metadata.
This dataset is not the current marine park zoning. It is retained here for historic purposes. See http://www.environment.gov.au/fed/catalog/search/resource/details.page?u... for current zoning.
This dataset summarises 35 years of seagrass data collection (1984-2018) within the Great Barrier Reef World Heritage Area into one GIS shapefile containing seagrass presence and absence survey data for 81,387 sites.
This dataset contains annual and seasonal values of the benthic light (bPAR index) for water quality on the Great Barrier Reef as calculated for each NRM Region (Cape York, Wet Tropics, Dry Tropics, Fitzroy and Mary-Burnett) and waterbody (Closed Coastal, Open Coastal, Midshelf and Offshore) for each water year between 2003 and 2019, as reported in NESP TWQ Project 5.3. Code used to produce these values is also available through eAtlas, as is the daily bPAR data.
This dataset contains code used to generate the daily benthic light (bPAR) data product provided at https://eatlas.org.au/data/uuid/356e7b3c-1508-432e-9d85-263ec8a67cef and the bPAR index for water quality in the Great Barrier Reef (GBR). It can also be used to calculate photosynthetically active radiation (PAR) at any specified depth in GBR waters.
This dataset consists of daily estimates of photic depth on the Great Barrier Reef from MODIS satellite imagery (from 2002 - 2015) using a quasi-analytical algorithm. This algorithm is based on a Type II linear regression of log-transformed satellite and in situ data (2002- 2012).
This algorithm was developed as part of data delivery for several NERP projects and was implemented into the NASA SeaDAS tool for processing MODIS imagery. This algorithm and its data products are now routinely run by the Bureau of Meteorology as part of the eReefs Water Quality Dashboard.
The MARine Sediment (MARS) database contains detailed information on seabed sediment characteristics for samples collected from Australia's marine jurisdiction, including the Australian Antarctic Territory. It also includes the Geat Barrier Reef (GBR). It is an important scientific resource that includes survey and sample information such as locations, water depths and sample descriptions.
The data set comprises 4 spreadsheets containing trace metal concentrations measured in waters benthic, suspended sediments and seagrasses collected across the Torres Strait during the NESP TWQ 5.14 project. Details of the sampling locations (including coordinates), general chemical and physical parameters and laboratory quality control data are provided.
The dashboard set comprises individual web pages for each sensor/location. Each dashboard includes a map showing the location of the station, basic statistics and time series plots. If enough data is available (more than 10 years), a climatology of the temperature record is calculated. The SSTAARS climatology is also plotted along the sensor data. Hourly time series plots are also available at each instrument’s depth.
See "Interactive map of this dataset" resource link below for a navigation map to the dashboard web pages.
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.
Methods:
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.
A later version of this dataset exists published 2019-01-18, accessible through the data links on this page.
This dataset contains records of sting events and specimen samples of jellyfish (Irukandji) along the north Queensland coast from December 1998 to March 2017. This dataset contains an extract (265 records in CSV format) of the publicly available data contained in the Venomous Jellyfish Database. The full database contains approximately 3000 sting events from around Australia and includes records from sources that have not yet been cleared for release.
This collection of temperature logger data has been produced to cover the most recent back to back bleaching events in the Great Barrier Reef to be used as a reference data set for coral bleaching studies. The data comes from over 90 permanent temperature logger locations within the reef from the AIMS temperature logger program, 12 AIMS automatic weather stations, 6 AIMS-IMOS mooring sites and 15 Queensland Environment wave-buoys temperature loggers. The data were restricted from late 2015 to mid-2017.
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. St-J., Uthicke, S. (2019) Adjusting tropical marine water quality guideline values for elevated ocean temperatures Environmental Science and Technology 54: 1102-1110 DOI: 10.1021/acs.est.9b05961.
The dataset consists of multiple data files from four types of instruments to visualize current, temperature flow patterns and coral stress responses around the north west section of Moore Reef including a reef pass, taken during 2018-2021. These include 19 temperature and 12 current loggers and 69 CTD casts, along with fluorometry measurements of 33 tagged coral colonies. This dataset also includes photos of the tagged corals along with CoralWatch colour cards during a 5-week period from Nov-Dec 2020.
This dataset contains the code for the Android application “COTS Control Centre Decision Support Tool” (CCC-DST). The CCC-DST is one part of the “COTS Control Centre Decision Support System” (CCC-DSS) which is a hardware and software solution, comprising 32 Samsung Galaxy Tab Active2 tablets. The tablets run a kiosk operating system and provide three data collection apps, developed for GBRMPA by ThinkSpatial, and three decision support components developed by CSIRO as part of the NESP COTS IPM Research Program.