AndreaBozzo/ceres-open-data-index huggingface dataset:
NESP MaC Project 3.18 - Robust citizen science for reef habitat assessment in support of management, 2023-2026 (UQ)

This record provides an overview of the NESP Marine and Coastal Hub study - Project 3.18 – Robust citizen science for reef habitat assessment in support of management. For specific data outputs from this project, please see child records associated with this metadata.

By mobilising tourism vessels and thousands of citizens, the Great Reef Census (GRC) has demonstrated that citizen-based infrastructure can undertake reconnaissance of hundreds of reefs and garner private donor support. While these data are already used by managers, there remain core scientific questions regarding the acquisition, quality, and optimisation of such data for reef management. Here, we create a robust approach to citizen science that can be scaled up to reefs generally. Specifically, our project will (1) maximise the quality of data on key habitats by combining machine and human learning (in partnership with Dell Technologies) while conducting a rigorous testing of data quality, (2), operationalise a field deployment strategy that maximises the value of citizen data for management and mapping and (3) provides annual maps of reef state and ecological importance that feeds into decision-making by marine managers. It specifically responds to MAC Hub priority research areas 2023 (citizen science and/or new technologies in assessing condition and status of marine habitats and species). 

Planned Outputs
 • Maps of reef habitat type, reef state, ecological importance of reefs [spatial dataset]
 • GRC data on reef images and reef state [tabular dataset]
 • Final technical report with analysed data and a short summary of recommendations for policy makers of key findings [written]

Tags: National Environmental Science Program Marine and Coastal (NESP MaC) hub, marine
Organization: Australian Ocean Data Network
Great Barrier Reef dugong distribution and relative density - Spatial model of aerial surveys from 1986 - 2005 (MTSRF, JCU)

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.

All surveys were conducted in late spring or early summer when weather and sea states provide optimum survey conditions.

This data presents the results of a model of dugong distribution and abundance, based on data collected from dugong aerial surveys, in conjunction with geostatistical techniques including universal kriging (Grech and Marsh 2007). After completing the model, frequency analyses were conducted to categorise relative dugong density and distribution to identify areas of low, medium or high conservation value.

The modelled abundance and distribution show the relative density of dugongs (areas where there are more or less dugongs) and NOT the absolute dugong density as corrections for perception bias (animals that are available to, but missed by, observers) and availability bias (animals that are unavailable to observers because of water turbidity) can only be applied at the spatial scale of entire surveys (thousands of square kilometres), making them inappropriate for the spatial scale for this dataset. Nonetheless, the relative densities among regions should be approximately comparable (H. Marsh, personal communication).

This dataset is being updated as part of Project 1.2 of the National Environmental Research Program. 

This dataset is an estimate of relative dugong density (number / km^2) and the conservation value with a 3-point rating (high, medium, low).

Note: More recent surveys were completed under the NERP program.

Tags: Oceans | Marine Biology | Marine Mammals, marine
Organization: Australian Ocean Data Network
GBR - Symbiodinium clade and subclade distribution of the Great Barrier Reef, 1998 - 2006 (MTSRF 2.5i.2, UQ)

Despite the important role Symbiodinium might play we currently have limited knowledge of the distribution ranges of Symbiodinium on the Great Barrier Reef. In order to increase our knowledge a database of Symbiodinium diversity on the GBR compiled from published papers (see database references) was established as part of a large research program 1.1 entitled “Risk, Resilience and Response Atlas for the Great Barrier Reef: Vulnerability to Coral Bleaching Project Objective.” The goal of project 1.1 is to define the vulnerability of GBR corals to climate change and extend this knowledge along the geographical extent of the GBR. The database presents an overview of the Symbiodinium types that have thus far been found across the GBR and can be accessed through the eAtlas.

Understanding Symbiodinium diversity and the geographical and environmental ranges of the different host/symbiont combinations will help us provide a better estimate of how vulnerable corals on the GBR are to bleaching.

Data Units:

Clade: a group of biological taxa or species that share features inherited from a common ancestor. In this case the genus Symbiodinium is divided in 9 clades A, B, C, D, E, F, G, H, I.

Subclade: a term that is used in genetics to describe a subgroup. Often the different types or strain within a subclade differ only by 1 or 2 nucleotides. The clades (A, B, C, D or G) are accompanied by a number (for example C1) or a number and a letter (for example D1a) to distinguish between the different Symbiodinium types or strains within a subclade.

DNA region: the DNA regions analyzed in order to differentiate betweenSymbiodinium clades and subclades differ in their resolution or in other words their ability to distinguish between different Symbiodinium types.
- ITS1 = Internal Transcribed Spacer 1
- ITS2 = Internal Transcribed Spacer 2
- 18S rRNA = 18S small subunit ribosomal RNA

Data was extracted from the following papers:

Loh et al., 2001; Van Oppen et al., 2001; LaJeunesse et al., 2003; Rodriguez-Lanetty et al., 2003; Ulstrup &amp; Van Oppen, 2003; LaJeunesse et al., 2004a; Fabricius et al., 2004; Van Oppen et al., 2004, 2005a, 2005b; Ulstrup et al., 2006; Sampayo et al., 2007, 2008; Stat et al., 2008; Goulet et al., 2008a, 2008b; Jones et al., 2008; Ulstrup et al., 2008

Data Location:

This dataset is filed in the eAtlas enduring data repository at: data\custodian\funding\MTSRF\GBR_MTSRF-2-5i-2_UQ_Symbiodinium-clade_1998-2006

Tags: marine
Organization: Australian Ocean Data Network
A long-term dataset of tidal anomalies for New South Wales, Australia

Hourly and 15-minute ocean water levels from New South Wales (NSW) coast were provided by Manly Hydraulics Laboratory (MHL) and Australian Bureau of Meteorology (BOM) data for this region. The organisations collect coastal water levels from different ocean tide gauge types that include: onshore bay, onshore river entrance, and offshore open ocean. However, the onshore river entrance gauges are susceptible to large peaks due to rainfall and the offshore open ocean gauges lack a persistent datum. Therefore, the datasets were adjusted to the vertical Australian Height Datum (AHD) and had the rainfall-related peaks removed from the records. Tidal anomalies, which represent the difference between observed water levels and the predicted tide were obtained through the Unified Tidal Analysis and Prediction model  (Utide). The aim of the study is to compile a high-quality set of residuals consistent in datum.

This data collection accompanies a data descriptor paper in the 'Data' Journal, it has been assigned a DOI and will be maintained in perpetuity by the Australian Ocean Data Network (AODN).

Tags: Residual (water level anomaly), Tide gauges and tidal predictor model, tidal anomalies
Organization: Australian Ocean Data Network
Brood stock production of Striped Trumpeter (Latris lineata)

Data is primarily volume of eggs (naturally spawned and stripped) taken from different photo-thermal held brood stock groups of Striped Trumpeter (Latris lineata).  Supporting data includes feeding, animal health and weight and environmental parameters (water quality).

Tags: 37 378001, Agriculture | Agricultural Aquatic Sciences | Aquaculture, Egg production, Fertilisation rate, Hatch rate, Latris lineata, Volume of eggs
Organization: Australian Ocean Data Network
eAtlas World Baselayer Version 1 (NERP TE 13.1, AIMS)

The eAtlas baselayer is a collection of datasets from third parties styled and combined together to produce a world wide map layer with reasonable detail across the Great Barrier Reef suitable as a baselayer in web mapping applications. 

The primary basis for this baselayer is the Natural Earth 2 public domain raster map of the world. Overlaid on this is country outlines, cities and Great Barrier Reefs. 

It has a focus on Australia and the Great Barrier Reef and includes a high resolution coast for Australia (100k) and an even high resolution coast for Queensland (50k). 

The baselayer has three levels of nested detail. It starts with the world view datasets (Natural Earth 2 &amp; 10m countries) combined with a high resolution Australian coastline (Coast 100k) combined with a still higher resolution Queensland coastline (GBR features). In addition to this the GBR features combined with the GBR dry reefs provides detailed outlines for reefs within the Great Barrier Reef Marine Park. 

This nesting is achieved by using a layer group in GeoServer to sandwich all 6 layers together into one map. The styling of the 10m countries layer is done so that all countries except Australia are rendered, leaving a hole for the high resolution Australian coastline. The Coast100k it is styled so that all states are shown except Queensland; again to leave a hole for a higher resolution Queensland coastline. To get the Queensland coastline the GBR features mainland is used.

Format:

This dataset collection is organised as files in a structure the same as the configuration of GeoServer version 2.1 - 2.3. This allows it to be easily deployed as a web map service. The files  can simply be pasted into the GeoServer directory. The data, along with the configuration and styling will be installed. This quick install procedure has been tested on version 2.1.0, 2.2.4 and 2.3 of GeoServer. More recent version may require manual editing deploy the data. 

The size of this dataset is 260 MB. 

Note:

This dataset has been superseded by the higher resolution Bright Earth eAtlas Basemap (NERP TE 13.1 eAtlas, AIMS) dataset.

Data Location:

This dataset is filed in the eAtlas enduring data repository at: data\NERP-TE\13.1_eAtlas\World_NERP-13-1_eAtlas_Basemap_v1-2013

Tags: Land Surface | Topography | Landforms, marine
Organization: Australian Ocean Data Network
Future act Notices - November 2020 (NNTT)

Before an act is done, which may affect native title, a Government party must issue a notice under s 29 of the NTA (s 29 notice or future act notice). The notice provides details of the proposed act and specifies a date (notification date) from which persons have either 3 or 4 months to object to the act or become a native title party with rights to negotiate about the doing of the act.

Note: This metadata record is a local copy maintained for the eAtlas and is not authoritative. Please see the link to the 'Original metadata record for this dataset' for the full metadata and latest update.

Data Location:

This dataset is filed in the eAtlas enduring data repository at: \pearl\e-atlas\data\non-custodian\ongoing\AU_NNTT\2023-09-29\original\FA_Notices_Nat.zip

Organization: Australian Ocean Data Network
Australian bathymetry and topography grid, June 2009 - Hillshading (eAtlas, source: GA)

This dataset contains hillshading derived from the Digitial Elevation Model (DEM) dataset: Australian bathymetry and topography grid, June 2009 version 4 by Geoscience Australia. This dataset also contains the original DEM converted to a GeoTiff.

The hillshading was produced using the gdaldem tool. 

The rest of this documentation is based on the metadata of the Australian bathymetry and topography grid itself. This grid is available from GA at http://dx.doi.org/10.4225/25/53D99B6581B9A .

In 2005 Geoscience Australia and the National Oceans Office undertook a joint project to produce a consistent, high-quality 9 arc second (0.0025 deg or ~250m at the equator) bathymetric grid for Australian waters. In 2009 a number of new datasets were included in an updated version of the grid.

The 2009 bathymetric grid of Australia has been produced to include recently acquired datasets, and solutions to issues identified in the previous version. The revised grid has the same extents as its 2005 counterpart, including the Australian water column jurisdiction lying between 92 deg E and 172 deg E, and 8 deg S and 60 deg S. The waters adjacent to the continent of Australia and Tasmania are included, as are areas surrounding Macquarie Island, and the Australian Territories of Norfolk Island, Christmas Island, and Cocos (Keeling) Islands. The area selected does not include Australia's marine jurisdiction offshore from the Territory of Heard and McDonald Islands and the Australian Antarctic Territory.

This report details the datasets and procedures used to produce the 2009 bathymetric grid of Australia. As per the 2005 grid, the 0.0025 decimal degree (dd) resolution is only supported where direct bathymetric observations are sufficiently dense (e.g. where swath bathymetry data or digitised chart data exist) (Webster and Petkovic, 2005). In areas where no sounding data are available (in waters off the Australian shelf), the grid is based on the 2 arc minute ETOPO (Smith and Sandwell, 1997) and 1 arc minute ETOPO (Amante and Eakins, 2008) satellite derived bathymetry. The topographic data (on shore data) is based on the revised Australian 0.0025dd topography grid (Geoscience Australia, 2008), the 0.0025dd NZ topography grid (Geographx, 2008) and the 90m SRTM DEM (Jarvis et al, 2008).

Format:
DEM - GeoTiff LZW compressed, with internal overviews
Hillshading - GeoTiff JPEG compressed (95% quality), with internal overviews

Data Location:

This dataset is filed in the eAtlas enduring data repository at: data\other\AU_GA_Bathymetry-2009

Organization: Australian Ocean Data Network
Blue Carbon Accelerator

Blue carbon is an emerging field within marine and climate science. Seaweeds are an emerging blue carbon solution, stalled by major knowledge gaps. The blue carbon accelerator project aims to address some of these key knowledge gaps in order to assess seaweeds potential to act as a blue carbon solution into the future.  The project will focus on the Ninglaoo region as an initial and address the following are key areas. 

Seaweed source dynamics: Identifying the drivers of seaweed carbon drawdown in the source habitats to build a predictive model for seaweed carbon supply over space and time. This will produce a verified model of areal rates of carbon drawdown via this natural pathway.




Ecosystem carbon fluxes: Quantifying the nutrient flows and seaweed carbon that support key ecosystem functions and values via major consumer pathways. This will provide a model for the environmental risks posed by additional seaweed growth for carbon sequestration




Carbon transport: Tracking seaweed carbon transport from coastal to offshore settings using a novel mix of oceanographic modelling validated with in-field tracking of wrack and genetic markers. This will demonstrate the timing and extent of this passive sequestration pathway;




Carbon sequestration: Demonstrating seaweed carbon storage in a deep-sea sink via models linking fluctuations in source carbon to sedimentary sequestration using stable isotopes and genetic markers (developed in 2. and 3. above). This will verify durable seaweed carbon sequestration for formal recognition as a blue carbon asset.


Organization: Australian Ocean Data Network
NESP TWQ Project 5.4 - Deriving ecologically relevant targets to meet desired ecosystem condition for the Great Barrier Reef: A case study for seagrass meadows in the Burdekin region, 2019-2020 (JCU)

This project derived Ecologically Relevant Targets (ERTs) for sediment loads for the Burdekin basin and provided the seagrass desired state across the Great Barrier Reef (GBR) by;



defining seagrass desired state for the GBR;

calculating light requirements; and

calculating ERTs for terrestrially sourced sediment loads, using Cleveland Bay as a case study.


Historical and new data collections were compiled and used to derive ERTs via statistical models and eReefs Relocatable Coastal Model (RECOM), and the seagrass submodel in eReefs was used to test ERTs.

Tags: National Environmental Science Programme Tropical Water Quality (NESP TWQ) hub, marine
Organization: Australian Ocean Data Network
Directional wave buoy data measured near Campbell Island, New Zealand

The New Zealand Defence Force (NZDF) has established a permanent wave observation station near Campbell Island, south of New Zealand (52 45.71 S, 169 02.54E). The site was chosen for logistical convenience and its unique location adjacent to the highly energetic Southern Ocean; allowing instrumentation typically deployed on the continental shelf to be used in this rarely observed southern environment. 

From February 2017, a Triaxys Directional Wave Buoy was moored in 147 m depth, some 17 km to the south of the island, with satellite telemetry of the 2D wave spectra at 3-hourly intervals. To date there have been three deployments on locations, yielding some 784 days of data. Validation of the measured significant wave height against co-located satellite altimeter observations suggests that the predominant wave directions are not attenuated by the island. The data provide a valuable record of the detailed wave spectral characteristics from one of the least-sampled parts of the Global Ocean.

This and future data will also be accessible via the "Waverider buoys Observations - Australia - delayed (National Wave Archive)" collection available through the Australian Ocean Data Network Portal (https://imos.aodn.org.au/imos123/home?uuid=%202807f3aa-4db0-4924-b64b-354ae8c10b58), the main repository for marine data in Australia. The data represented by this metadata record is a snapshot of the NZDF data at the time of this publication (03/08/2021), and has been assigned a DOI and will be maintained in perpetuity by the AODN.

Tags: Oceans | Ocean Waves | Significant Wave Height, Oceans | Ocean Waves | Wave Period, Oceans | Ocean Waves | Wave Spectra, Oceans | Ocean Waves | Wave Speed/direction
Organization: Australian Ocean Data Network
Historical Native Title Determination Applications - November 2020 (NNTT)

This dataset reflects the external boundaries of native title applications which have been combined, discontinued, dismissed, struck out or withdrawn. These include claimant, non-claimant and compensation applications. The dataset depicts the geospatial boundaries of applications as at the time the application became inactive.

The NTDA Historical dataset provides a spatial representation of application areas as they appeared at the time that the application was ended. Note that in some cases this may be different from the area at the time the application was lodged.

The NTDA Transaction dataset shows spatial and aspatial amendments to application records from the time of lodgement to the current representation. The NTDA Historical dataset is a subset of these records.

Note: This metadata record is a local copy maintained for the eAtlas and is not authoritative. Please see the link to the 'Original metadata record for this dataset' for the full metadata and latest update.

Data Location:

This dataset is filed in the eAtlas enduring data repository at: data\non-custodian\ongoing\AU_NNTT\2020-11-05\NTDA_Historical_Nat_shp.zip

Organization: Australian Ocean Data Network
ReefCloud public data (Central Great Barrier Reef and American Samoa use cases)

What is this dataset?

This repository is associated with the paper Predicting coral cover trends from local to broad spatial scales by Vercelloni et al. (2026). It provides the dataset needed to reproduce use cases presented in the paper. Reproducible codes of the results are available at: GitHub repository. 

What is used for?

The dataset associated with the repository inform a broad spatial-scale predictive model, which predict annual hard coral cover across all known coral reefs (both monitored and unmonitored) in the Central region of the Great Barrier Reef and American Samoa by incorporating a spatial grid and information about the exposure to heat stress and tropical cyclones.

How it was created?

The predictive model uses coral cover data aggregated into 5&times;5km hexagonal units. Individual monitoring observations from the public ReefCloud platform within the same spatial unit and depths of 2-10 metres are aggregated.

Organization: Australian Ocean Data Network
NERP TE Project 2.3 - Monitoring the health of Torres Strait coral reefs, 2011-2014 (AIMS)

This project will conduct a biodiversity assessment of coral communities on Torres Strait reefs to establish a baseline of coral condition and start a longer-term monitoring program of selected coral reefs in the region. The monitoring will look for changes in the condition of coral reefs and document factors that might contribute to changes incl COTS, disease, bleaching, temperature anomalies etc. As part of this project, an early warning system will be established for coral bleaching. This will give the Torres Strait Regional Authority (TSRA), Torres Strait communities, industry and other stakeholders, the ability to predict, prepare for and respond to coral bleaching.

This project will:





Consult with TSRA and community to design a monitoring program for reefs of Torres Strait that addresses community needs and involves training TSRA LSMU rangers in field activities so that they can continue the reef monitoring program once this project is completed. During the project a biodiversity survey will be completed along with a baseline monitoring survey (Feb 2013) and a repeat monitoring survey (Feb-March 2014).




Establish an early warning system for coral bleaching based on the best-available knowledge of bleaching thresholds and a real-time environmental observing system for key parameters, including temperature and light. One real-time observing station will be located in the western Torres Strait and a second for the eastern TS subject to sufficent funds being available.




Establish a network of non real-time temperature loggers at up to 15 sites (two loggers/sites at different depths) at sites representative of the Torres Strait to capture the range of thermal regimes in the Torres Strait. LSMU rangers will be trained to exchange loggers on a 6-12 monthly basis (depending on site accessibility).




Provide regular updates on current coral reef conditions and summer forecasts for bleaching risk. These updates are a compilation of all available satellite and in-situ data together with forecasts from POAMA and NOAA bleaching risk models and will be provided to key stakeholders.



Tags: National Environmental Research Program Tropical Ecosystems Hub, marine
Organization: Australian Ocean Data Network