{"help": "https://data.gov.au/data/en/api/3/action/help_show?name=package_show", "success": true, "result": {"archived": false, "author_email": null, "contact_point": "clientservices@ga.gov.au", "creator_user_id": "c2fbbe4a-4ba0-4945-808b-67454605a4cf", "duplicate_score": 1, "geospatial_topic": [], "id": "d4b65daa-fa2a-4803-9f09-269b2dc007be", "isopen": false, "language": "eng", "license_id": "notspecified", "license_title": "notspecified", "maintainer": null, "maintainer_email": null, "metadata_created": "2026-02-12T08:01:56.206742", "metadata_modified": "2026-02-12T08:01:56.206748", "name": "ausbathytopo-torres-strait-30m-2023-a-regional-scale-depth-model-20230006c4", "notes": "The Australian Bathymetry and Topography (AusBathyTopo) Torres Strait dataset contains depth and elevation data compiled from all available data within the Torres Strait into a 30 m-resolution Digital Elevation Model (DEM). The Torres Strait lies at the northern end of the Great Barrier Reef (GBR), the largest coral reef ecosystem on Earth, and straddles the Arafura Sea to the west and the Coral Sea to the east.\n\nThe Torres Strait area is bounded by Australia, Indonesia and Papua New Guinea. Bathymetry mapping of this extensive reef and shoal system is vital for the protection of the Torres Strait allowing for the safe navigation of shipping and improved environmental management.\n\nOver past ten years, deep-water multibeam surveys have revealed the highly complex continental slope canyons in deeper Coral Sea waters. Shallow-water multibeam surveys conducted by the US-funded Source-to-Sink program revealed the extensive Fly River delta deposits.  Airborne LiDAR bathymetry acquired by the Australian Hydrographic Office cover most of the Torres Strait and GBR reefs, with coverage gaps supplemented by satellite derived bathymetry. The Geoscience Australia-developed National Intertidal DIgital Elevation Model (NIDEM) improves the source data gap along Australia\u2019s vast intertidal zone.\n\nWe acknowledge the use of the CSIRO Marine National Facility (https://ror.org/01mae9353 ) in undertaking this research.\u201d The datasets used were collected by the Marine National Facility on 13 voyages (see Lineage for identification).\n\nAll source bathymetry data were extensively edited as point clouds to remove noise, given a consistent WGS84 horizontal datum, and where possible, an approximate MSL vertical datum.\n\nThe 30 m-resolution grid is a fundamental dataset to underpin marine habitat mapping, and can be used to accurately simulate water mixing within a whole-of-GBR scale hydrodynamic model.\n\nThis dataset is not to be used for navigational purposes.", "num_resources": 1, "num_tags": 20, "organization": {"id": "0143757a-86ab-43e4-bba6-4a3a2a02b6c4", "name": "australian-ocean-data-network", "title": "Australian Ocean Data Network", "type": "organization", "description": "Harvester for Australian Ocean Data Network", "image_url": "", "created": "2025-06-23T12:29:10.320926", "is_organization": true, "approval_status": "approved", "state": "active"}, "original_harvest_source": {"site_url": "https://catalogue.aodn.org.au", "href": "https://catalogue.aodn.org.au/geonetwork/srv/eng/csw/dataset/ausbathytopo-torres-strait-30m-2023-a-regional-scale-depth-model-20230006c4", "title": "Australian Oceans Data Network"}, "owner_org": "0143757a-86ab-43e4-bba6-4a3a2a02b6c4", "private": false, "promotion_level": "0", "spatial": "{\"type\": \"Polygon\", \"coordinates\": [[[139.0, -13.0], [146.0, -13.0], [146.0, -8.0], [139.0, -8.0], [139.0, -13.0]]]}", "spatial_coverage": "{\"type\": \"Polygon\", \"coordinates\": [[[139.0, -13.0], [146.0, -13.0], [146.0, -8.0], [139.0, -8.0], [139.0, -13.0]]]}", "state": "active", "temporal_coverage_from": "1996-04-19 00:00:00", "temporal_coverage_to": "2022-09-10 00:00:00", "title": "AusBathyTopo (Torres Strait) 30m 2023 - 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