Christmas Island is located approximately 2,600 North West of Perth. It is the surface expression of an emergent seamount uplifted by tectonics. Bathymetry data are required in this area to help identify major seabed processes and habitats. The data are also required to enable modelling of tsunami as they interact with the shelf around the island and the coast. This report describes the methodology employed in creating detailed bathymetry data grids of the Christmas Island region. It covers data collection, quality control and gridding. Descriptions are provided of each dataset employed, the methods used to integrate the different datasets and the attributes of the new bathymetric models. Five new bathymetry grids are presented, including grids that integrate bathymetry with the island's topography.<p><p>This dataset is not to be used for navigational purposes.

Detailed seabed bathymetric data are needed to better understand our marine environment because models of seabed morphology derived from these data provide useful insights into physical processes that act on the seabed and the location of different types of seabed habitats. Lord Howe Island lies approximately 450km off the northern coast of New South Wales. It is a volcanic island with a fringing coral reef on its western shore, and a shallow (20 - 120 m) shelf surrounds the island. Bathymetry data are required in this area to help identify major seabed processes and habitats, especially relict reef structures, and to measure how well physical seabed properties act as surrogates of patterns of biodiversity on this mid-ocean carbonate shelf. The data are also required to enable modelling of tsunami as they interact with the shelf around the island and the coast. This report describes the methodology employed in creating detailed bathymetry data grids of the Lord Howe Island region. It covers data collection, quality control and gridding. Descriptions are provided of each dataset employed, the methods used to integrate the different datasets and the attributes of the new bathymetry models. Four new bathymetry grids are presented, including grids that integrate bathymetry with the island's topography.

Cocos (Keeling) Island is located approximately 3,685km almost due west of Darwin. It is a mid-ocean atoll with a coral reef, and a very shallow (1 - 20 m) shelf surrounds the island. Bathymetry data are required in this area to help identify major seabed processes and habitats. The data are also required to enable modelling of tsunami as they interact with the shelf around the island and the coast. This report describes the methodology employed in creating detailed bathymetry data grids of the Cocos (Keeling) Island region. It covers data collection, quality control and gridding. Descriptions are provided of each dataset employed, the methods used to integrate the different datasets and the attributes of the new bathymetry models. Four new bathymetry grids are presented, including grids that integrate bathymetry with the island's topography.<p><p>This dataset is not to be used for navigational purposes.

This resource contains a bathymetry compilation prepared by the University of Western Australia for the North West Shelf of Australia, between the Cape Range and the Dampier Peninsula. The compilation includes, by decreasing resolution: - Publicly available MBES datasets, made available by Geoscience Australia by December 2019. - Satellite derived bathymetry produced using 1000+ images acquired between January 2017 and December 2019. - Seismic derived bathymetry extracted from 100+ surveys acquired between 1981 and 2015. - SRTM topography, reprocessed by Galant et al, 2011: https://pid.geoscience.gov.au/dataset/ga/72759 - 2009 Australian Bathymetry and Topography grid: https://pid.geoscience.gov.au/dataset/ga/67703 The Seismic and Satellite derived bathymetry grids are also available as individual layers. The vertical and spatial accuracy of the datasets have been thoroughly assessed using high-resolution datasets including publicly available MBES and LADS surveys. The assessment indicates that the seismic derived bathymetry has a depth accuracy better than 1 m + 2% of the absolute water depths while the satellites derived bathymetry has a depth accuracy better than 1 m + 5% of the absolute water depths. A detailed methodology is provided in: Lebrec et al, 2021. Towards a regional high-resolution bathymetry of the North West Shelf of Australia based on Sentinel-2 satellite images, 3D seismic surveys and historical datasets. (in prep.) This dataset is published with the permission of the CEO, Geoscience Australia. AUTHOR’S NOTICE: This dataset should not be used, under any circumstances, for navigation. When used, the dataset should be referenced as follow: Lebrec, U., Paumard, V., O'Leary, M. J., and Lang, S. C.: Towards a regional high-resolution bathymetry of the North West Shelf of Australia based on Sentinel-2 satellite images, 3D seismic surveys and historical datasets, Earth Syst. Sci. Data Discuss. [preprint], https://doi.org/10.5194/essd-2021-128, in review, 2021.

A dataset of global zinc-bearing mineral deposits has been developed that complements previous such datasets (Franklin et al., 2005; Meinert et al., 2005; Mosier et al., 2009a,b; Taylor et al. 2009). The new dataset provides information on name, location, type, metal endowment, host rocks, associated igneous rocks, regional and proximal alteration assemblages (including, where possible, spatial and temporal zonation), Fe-S-O mineralogy, the presence of sulfate minerals, and sulfur and lead isotope data. In particular, unlike previous datasets, the age information provides the uncertainties of age determinations along with information on the assumptions and analytical methods used to determine the age. The dataset is meant to be used in conjunction with previous datasets and will be updated. Analysis of trends and relationships within the datasets are ongoing and will be published separately.

<div>The Rowley Shelf 3D seismic derived bathymetry compilation (20220005C) was produced in 2023 as part of the a collaboration between The University of Western Australia, Norwegian Geotechnical Institute and UniLasalle and Geoscience Australia through the AusSeabed Community. The compilation integrates 223 bathymetry grids derived from available and workable 3D seismic reflection datasets into a 30 m resolution 32-bit GeoTIFF. A detailed workflow is described in: Lebrec, U., Paumard, V., O'Leary, M. J., and Lang, S. C., 2021, Towards a regional high-resolution bathymetry of the North West Shelf of Australia based on Sentinel-2 satellite images, 3D seismic surveys, and historical datasets: Earth System Science Data, v. 13, no. 11, p. 5191-5212 https://doi.org/10.5194/essd-13-5191-2021, 2021.</div><div><br></div><div><br></div><div>This dataset is not to be used for navigational purposes.</div>

<div>The Southwest Margins seismic-derived bathymetry was produced in 2023 as part of a collaboration between The University of Western Australia and the AusSeabed Community. The compilation integrates 19 bathymetry grids derived from available and workable 3D seismic datasets into a 30 m resolution 32-bit GeoTIFF, including both reflection and navigation derived data. A detailed workflow is described in: Lebrec, U., Paumard, V., O'Leary, M. J., and Lang, S. C., 2021, Towards a regional high-resolution bathymetry of the North West Shelf of Australia based on Sentinel-2 satellite images, 3D seismic surveys, and historical datasets: Earth System Science Data, v. 13, no. 11, p. 5191-5212 https://doi.org/10.5194/essd-13-5191-2021, 2021.</div><div><br></div><div>This dataset is not to be used for navigational purposes.</div><div><br></div>

This dataset contains a bathymetry (depth) grid of the Williams Ridge region, southeast Indian Ocean, at 100 metre resolution produced from the compilation of all available source data. These data include single beam echo sounder bathymetry data supplied by the Australian Hydrographic Office to generate the general depth model, and deep-water multibeam bathymetry data to reveal the complexity of the seafloor on Williams Ridge, Kerguelen Plateau and the surrounding abyssal plains and basins. Multibeam bathymetry data were collected during systematic surveys over Williams Ridge by Research Vessel (RV) Investigator in 2020 and RV Sonne, and on vessel transits that crossed through the region. The RV Investigator survey also collected seismic, magnetic and gravity data, and rock samples to provide new knowledge of the geological and tectonic evolution of the region (see www.mnf.csiro.au/en/voyages/IN2020_V01). Austral Fisheries also provided crowdsourced bathymetry (CSB) data from fishing vessels collected using single beam echo sounders. These fishing vessels operate within the Kerguelen Plateau and Williams Ridge region licenced under the Conservation of Antarctic Marine Living Resources. Austral Fisheries CSB data were provided to the Australian Antarctic Division for restricted use in this compilation product. All source multibeam and single beam bathymetry data were edited as 3D point clouds to remove anomalous noise, and given a consistent WGS84 horizontal datum, and where possible, an approximate MSL vertical datum prior to the grid interpolation process. This dataset was developed to support the management of Australia’s marine jurisdiction and is published with permission of the CEO, Geoscience Australia. This dataset is not to be used for navigational purposes

<div>The Otway, Gippsland Basins and Bass Strait 3D seismic derived bathymetry compilation (20220007C) was produced by the University of Western Australia, Norwegian Geotechnical Institute and UniLasalle in collaboration with Geoscience Australia through the AusSeabed initiative. The compilation integrates 87 bathymetry grids derived from available and workable 3D seismic datasets into a 30 m resolution 32-bit GeoTIFF, including both reflection and navigation derived data. A detailed workflow is described in: Lebrec, U., Paumard, V., O'Leary, M. J., and Lang, S. C., 2021, Towards a regional high-resolution bathymetry of the North West Shelf of Australia based on Sentinel-2 satellite images, 3D seismic surveys, and historical datasets: Earth System Science Data, v. 13, no. 11, p. 5191-5212 https://doi.org/10.5194/essd-13-5191-2021, 2021.</div><div><br></div><div>This dataset is not to be used for navigational purposes.</div><div><br></div>

The Bass Strait Digital Elevation Model (DEM) is a compilation of all available bathymetry data for the area of seabed between the coastlines of Victoria and northern Tasmania, extending approximately 460 km from west of King Island to east of Flinders Island. The Bass Strait is bounded by a continental slope incised with numerous canyons, including the prominent Bass Canyon on the eastern side. The region encompasses islands and exposed rocks, drowned paleo-shorelines and dunefields, fringed by a rugged coastline. Bathymetry mapping of the seafloor is vital for the protection of Bass Strait, allowing for safe navigation of shipping, improved environmental management and resource development. Australian Hydrographic Office-supplied ENC tile spot depths were used to develop the general bathymetry variation across the entire region. Shallow- and deep-water multibeam survey data reveal the complexity of the seafloor for the continental shelf and adjacent canyons which incise the western and eastern sides of Bass Strait. Airborne LiDAR bathymetry acquired by the Australian Hydrographic Office cover most of the northern Tasmanian nearshore and coast, with some coverage gaps supplemented by Landsat-8 satellite derived bathymetry data. The Geoscience Australia-developed Intertidal Elevation Model DEM improves the source data over the intertidal zone. Highly accurate photogrammetry coastline data developed for the Tasmania, Victoria and New South Wales coastlines, and Near Surface Feature data representing shoal features observable in aerial imagery, were used to improve the land/water interface of the numerous island and rock features. All source bathymetry data were extensively edited as 3D point clouds to remove noise, given a consistent WGS84 horizontal datum, and where possible, an approximate MSL vertical datum.<p><p>This dataset is not to be used for navigational purposes.