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  • Seabed mapping data collected using a Kongsberg 2040C multibeam sonar system aboard research vessel MVYolla including bathymetry (2 metre resolution), backscatter (1metre resolution), watercolumn and preliminary hard bottom classification. Seabed mapping in Apollo Marine Park with 114 square kilometres of continuous seabed mapping conducted by Deakin University in partnership with iXblue for Parks Australia.

  • A benthic sediment sampling survey (GA0356) to the nearshore areas of outer Darwin Harbour was undertaken in the period from 03 July to 14 September 2016. Partners involved in the survey included Geoscience Australia (GA), the Australian Institute of Marine Science (AIMS) and the Department of Environment and Natural Resources within the Northern Territory Government (NT DENR) (formerly the Department of Land and Resource Management (DLRM)). This survey forms part of a four year (2014-2018) science program aimed at improving knowledge about the marine environments in the regions around Darwin and Bynoe Harbour’s through the collection and collation of baseline data that will enable the creation of thematic habitat maps to underpin marine resource management decisions. This project is being led by the Northern Territory Government and is supported by the INPEX-led Ichthys LNG Project, in collaboration with - and co-investment from GA and AIMS. The program builds upon an NT Government project (2011-2011) which saw the collection of baseline data (multibeam echosounder data, sediment samples and video transects) from inner Darwin Harbour. This dataset comprises total oxygen uptake and total carbon dioxide flux measurements from core incubation experiments on seabed sediments. Radke, L., Smit, N., Li, J., Nicholas, T., Picard, K. 2017. Outer Darwin Harbour Shallow Water Sediment Survey 2016: GA0356 – Post-survey report. Record 2017/06. Geoscience Australia, Canberra. http://dx.doi.org/10.11636/Record.2017.006 This research was funded by the INPEX-led Ichthys LNG Project via the Northern Territory (NT) Government Department of Land Resource Management (DLRM) (now the Department of Environment and Natural Resources (DENR)), and co-investment from Geoscience Australia (GA) and Australian Institute of Marine Science (AIMS). We are grateful to the following agencies for providing boats and staff, and to the following personal for help with sample acquisition: NT DENR (Danny Low Choy and Rachel Groome), NT Fisheries (Wayne Baldwin, Quentin Allsop, Shane Penny, Chris Errily, Sean Fitzpatrick and Mark Grubert), NT Parks and Wildlife (Ray Chatto, Stewart Weorle, and Luke McLaren) and the Larrakia Rangers (Nelson Tinoco, Kyle Lewfat, Alan Mummery and Steven Dawson). Special thanks to the skippers Danny Low Choy, Wayne Baldwin, Stewart Weorle and Luke McLaren whose seamanship strongly guided the execution of this survey. AIMS generously allowed use of the aquarium and laboratory at the Arafura Timor Sea Research Facility, and Simon Harries and Kirsty McAllister helped with the setup. We would also like to acknowledge and thank GA colleagues including: Matt Carey, Ian Atkinson and Craig Wintle (Engineering and Applied Scientific Services) for the organisation of field supplies and the design of the new core incubation set-up. This dataset is published with the permission of the CEO, Geoscience Australia

  • This resource contains surface sediment data for Bynoe Harbour collected by Geoscience Australia (GA), the Australian Institute of Marine Science (AIMS) and Department of Land Resource Management (Northern Territory Government) during the period from 2-29 May 2016 on the RV Solander (survey SOL6432/GA4452). This project was made possible through offset funds provided by INPEX-led Ichthys LNG Project to Northern Territory Government Department of Land Resource Management, and co-investment from Geoscience Australia and Australian Institute of Marine Science. The intent of this four year (2014-2018) program is to improve knowledge of the marine environments in the Darwin and Bynoe Harbour regions by collating and collecting baseline data that enable the creation of thematic habitat maps that underpin marine resource management decisions. The specific objectives of the survey were to: 1. Obtain high resolution geophysical (bathymetry) data for outer Darwin Harbour, including Shoal Bay; 2. Characterise substrates (acoustic backscatter properties, grainsize, sediment chemistry) for outer Darwin Harbour, including Shoal Bay; and 3. Collect tidal data for the survey area. Data acquired during the survey included: multibeam sonar bathymetry and acoustic backscatter; physical samples of seabed sediments, underwater photography and video of grab sample locations and oceanographic information including tidal data and sound velocity profiles. This dataset comprises total sediment metabolism, carbonate and element concentrations and C and N isotopes measurements made on seabed sediments. A detailed account of the survey is provided in Siwabessy, P.J.W., Smit, N., Atkinson, I., Dando, N., Harries, S., Howard, F.J.F., Li, J., Nicholas W.A., Picard, K., Radke, L.C., Tran, M., Williams, D. and Whiteway, T., 2016. Bynoe Harbour Marine Survey 2017: GA4452/SOL6432 – Post-survey report. Record 2017/04. Geoscience Australia, Canberra. Thanks to the crew of the RV Solander for help with sample collection, Matt Carey, Craig Wintle and Andrew Hislop from the Observatories and Science Support at Geoscience Australia for technical support and Jodie Smith for reviewing the data. This dataset is published with the permission of the CEO, Geoscience Australia.

  • This resource includes bathymetry data acquired during the Visioning the Coral Sea Marine Park bathymetry survey using Kongsberg EM302 and EM710 multibeam sonar systems. Visioning the Coral Sea Marine Park bathymetry survey (FK200429/GA4861) was led by Dr. Rob Beaman (James Cook University) and a team of scientists from Geoscience Australia, The University of Sydney, and the Queensland Museum, aboard the Schmidt Ocean Institute’s research vessel Falkor, from the 29th of April to 11th of June 2020. The primary objective of the survey was to map in detail the Queensland Plateau, including the steeper reef flanks and target the enigmatic seabed features, like the numerous drowned reef pinnacles and long meandering channels on the plateau surface. The second objective of this survey was to investigate the extent of the bleaching on the mesophotic or deeper reef, and if these reefs could act as a potential refuge for the Great Barrier Reef. The survey also aimed at providing insights into the geological evolution and biodiversity of Australia’s marine frontier. This dataset is not to be used for navigational purposes. This dataset is published with the permission of the CEO, Geoscience Australia.

  • This resource contains surface sediment data for Bynoe Harbour collected by Geoscience Australia (GA), the Australian Institute of Marine Science (AIMS) and Department of Land Resource Management (Northern Territory Government) during the period from 2-29 May 2016 on the RV Solander (survey SOL6432/GA4452). This project was made possible through offset funds provided by INPEX-led Ichthys LNG Project to Northern Territory Government Department of Land Resource Management, and co-investment from Geoscience Australia and Australian Institute of Marine Science. The intent of this four year (2014-2018) program is to improve knowledge of the marine environments in the Darwin and Bynoe Harbour regions by collating and collecting baseline data that enable the creation of thematic habitat maps that underpin marine resource management decisions. The specific objectives of the survey were to: 1. Obtain high resolution geophysical (bathymetry) data for outer Darwin Harbour, including Shoal Bay; 2. Characterise substrates (acoustic backscatter properties, grainsize, sediment chemistry) for outer Darwin Harbour, including Shoal Bay; and 3. Collect tidal data for the survey area. Data acquired during the survey included: multibeam sonar bathymetry and acoustic backscatter; physical samples of seabed sediments, underwater photography and video of grab sample locations and oceanographic information including tidal data and sound velocity profiles. This dataset comprises grain size data measured on seabed sediments. A detailed account of the survey is provided in Siwabessy, P.J.W., Smit, N., Atkinson, I., Dando, N., Harries, S., Howard, F.J.F., Li, J., Nicholas W.A., Picard, K., Radke, L.C., Tran, M., Williams, D. and Whiteway, T., 2016. Bynoe Harbour Marine Survey 2017: GA4452/SOL6432 - Post-survey report. Record 2017/04. Geoscience Australia, Canberra. Thanks to the crew of the RV Solander for help with sample collection, Matt Carey, Craig Wintle and Andrew Hislop from the Observatories and Science Support at Geoscience Australia for technical support and Jodie Smith for reviewing the data. This dataset is published with the permission of the CEO, Geoscience Australia

  • The seabed morphology mapping were developed as ArcGIS Pro Python tools using Python 3+ to map 10 bathymetric high and eight bathymetric low features according to the definitions of Dove et al. (2020). These tools are contained in the following six toolboxes: 1. BathymetricHigh.pyt toolbox contains three tools: TPI Tool Bathymetric High, TPI LMI Tool Bathymetric High and Openness Tool Bathymetric High. These tools are used to map bathymetric high features. 2. BathymetricLow.pyt toolbox contains three tools: TPI Tool Bathymetric Low, TPI CI Tool Bathymetric Low and Openness Tool Bathymetric Low. These tools are used to map bathymetric low features. 3. AddAttributes.pyt toolbox contains six tools: Add Shape Attributes High Tool, Add Shape Attributes Low Tool, Add Topographic Attributes High Tool, Add Topographic Attributes Low Tool, Add Profile Attributes High Tool and Add Profile Attributes Low Tool. These tools are used to calculate attributes for bathymetric high and low features. 4. ClassificationFeature.pyt toolbox contains two tools: Classify Bathymetric High Features and Classify Bathymetric Low Features. These tools are used to classify bathymetric high and low features into morphological categories defined in Dove et al. (2020). 5. Accessory_Tools.pyt toolbox contains two tools: Merge Connected Features Tool and Connect Nearby Linear Features Tool. They are the accessory tools use to help the mapping processes. 6. Surface.pyt toolbox contains two tools: Morphological Surface Tool Bathymetry and Morphological Surface Tool Slope. These tools are used to map three-class morphological surface. The system and data format requirements of these ArcGIS tools are described in the tutorials accompanied with the tools. The tutorials also include sampled data and the detailed usages for individual tools. Further details of these tools including their descriptions, graphic illustrations and usages and python code examples are also available in their metadata. Dove, D., Nanson, R., Bjarnadóttir, L., Guinan, J., Gafeira, J., Post, A., Dolan, M.; Stewart, H.; Arosio, R, Scott, G. (October, 2020). A two-part seabed geomorphology classification scheme (v.2); Part 1: morphology features glossary. Zenodo. http://doi.org/10.5281/zenodo.4075248

  • A benthic sediment sampling survey (GA0356) to the nearshore areas of outer Darwin Harbour was undertaken in the period from 03 July to 14 September 2016. Partners involved in the survey included Geoscience Australia (GA), the Australian Institute of Marine Science (AIMS) and the Department of Environment and Natural Resources within the Northern Territory Government (NT DENR) (formerly the Department of Land and Resource Management (DLRM)). This survey forms part of a four year (2014-2018) science program aimed at improving knowledge about the marine environments in the regions around Darwin and Bynoe Harbour’s through the collection and collation of baseline data that will enable the creation of thematic habitat maps to underpin marine resource management decisions. This project is being led by the Northern Territory Government and is supported by the INPEX-led Ichthys LNG Project, in collaboration with - and co-investment from GA and AIMS. The program builds upon an NT Government project (2011-2011) which saw the collection of baseline data (multibeam echosounder data, sediment samples and video transects) from inner Darwin Harbour (Siwabessy et al. 2015). Radke, L., Smit, N., Li, J., Nicholas, T., Picard, K. 2017. Outer Darwin Harbour Shallow Water Sediment Survey 2016: GA0356 – Post-survey report. Record 2017/06. Geoscience Australia, Canberra. http://dx.doi.org/10.11636/Record.2017.006 This research was funded by the INPEX-led Ichthys LNG Project via the Northern Territory (NT) Government Department of Land Resource Management (DLRM) (now the Department of Environment and Natural Resources (DENR)), and co-investment from Geoscience Australia (GA) and Australian Institute of Marine Science (AIMS). We are grateful to the following agencies for providing boats and staff, and to the following personal for help with sample acquisition: NT DENR (Danny Low Choy and Rachel Groome), NT Fisheries (Wayne Baldwin, Quentin Allsop, Shane Penny, Chris Errily, Sean Fitzpatrick and Mark Grubert), NT Parks and Wildlife (Ray Chatto, Stewart Weorle, and Luke McLaren) and the Larrakia Rangers (Nelson Tinoco, Kyle Lewfat, Alan Mummery and Steven Dawson). Special thanks to the skippers Danny Low Choy, Wayne Baldwin, Stewart Weorle and Luke McLaren whose seamanship strongly guided the execution of this survey. AIMS generously allowed use of the aquarium and laboratory at the Arafura Timor Sea Research Facility, and Simon Harries and Kirsty McAllister helped with the setup. We would also like to acknowledge and thank GA colleagues including: Matt Carey, Ian Atkinson and Craig Wintle (Engineering and Applied Scientific Services) for the organisation of field supplies and the design of the new core incubation set-up. This dataset is published with the permission of the CEO, Geoscience Australia

  • The source code for the AusSeabed Survey Coordination Tool. Code is located at: https://github.com/ausseabed/survey-request-and-planning-tool The AusSeabed Survey Coordination tool (ASB SCT) is a tool designed by GA and FrontierSI in collaboration with the AusSeabed Steering Committee and broader community. Its intent is to provide a location for, and consistency in specification of bathymetric data acquisition for scientific research purposes. As of March 2022, the ASB SCT supports three key functions: 1) Survey Planning: the ASB SCT allows the community to publicise their plans to survey in the Austrlian Marine Estate. The tool ingests a spatial outline of the intended location as well as the target data types and focus for the survey. The tool also collects the contact details for the chief investigator and anticipated survey dates. Once published, the survey plan is visible on the upcoming surveys spatial layer on the AusSeabed portal. 2) Hydroscheme Industry Partnership Program Requests: the ASB SCT hosts the online form for submitting survey requests to the Australian Hydrographic Office (AHO) for consideration by the HydroScheme Industry Partnership Programme. 3) Areas of Interest submission: the ASB SCT ingests submissions that describe a users seabed mapping or biodiversity characterisation data needs and location. This information is useful in identifying regions of mutual interest and boosting collaborative multi-disciplinary surveys. Understanding regions with high levels of overlapping data needs can also help inform high-value survey activities and legacy data release priorities.

  • <p>This dataset provides the spatially continuous data of seabed gravel (sediment fraction >2000 µm), mud (sediment fraction < 63 µm) and sand content (sediment fraction 63-2000 µm) expressed as a weight percentage ranging from 0 to 100%, presented in 10 m resolution raster grids format and ascii text file.</p> <p>The dataset covers the eight areas in the Timor Sea region in the Australian continental EEZ.</p> <p>This dataset supersedes previous predictions of sediment gravel, mud and sand content for the basin with demonstrated improvements in accuracy. Accuracy of predictions varies with sediment types, with a VEcv = 71% for mud, VEcv = 72% sand and VEcv = 42% for gravel. Artefacts occur in this dataset as a result of noises associated predictive variables (e.g., horizontal and vertical lines resulted from predictive variables derived from backscatter data are the most apparent ones). To obtain the most accurate interpretation of sediment distribution in these areas, it is recommended that noises with backscatter data should be reduced and predictions updated.</p> <p>This research is supported by the National Environmental Science Program (NESP) Marine Biodiversity Hub through Project D1.

  • This resource includes bathymetry data acquired during the Submarine Cape Range Canyons bathymetry survey using Kongsberg EM302 and EM710 multibeam sonar systems. The Seamounts, Canyons and Reefs of the Coral Sea bathymetry survey was led by Dr. Rachel Przeslawski (Geoscience Australia) with a team of scientists from Geoscience Australia, Curtin University, Western Australian Museum and Scripps Institution of Oceanography aboard the Schmidt Ocean Institute (SOI) RV Falkor from the 8th of March to the 8th of April 2020. The primary objective of this survey was to map unexplored submarine canyons in the Gascoyne Marine Park. Submarine canyons are crucial habitats for a variety of biota and understanding their geometry, depth and species diversity is underpinned by high resolution bathymetry data. The bathymetry data collected in this survey can assist with scientific research, marine park management and understanding Australia’s marine estate. This dataset contains a 64m and a 16m, for water depths shallower than 2560m resolution 32-bit geotiff of the Cape Range and Cloates Canyons area produced from the processed EM302 and EM710 bathymetry data combined. This dataset is not to be used for navigational purposes. This dataset is published with the permission of the CEO, Geoscience Australia.