{"help": "https://data.gov.au/data/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": "bc7b3e20-08db-4b2a-b6c6-51f7f2569711", "isopen": false, "language": "eng", "license_id": "notspecified", "license_title": "notspecified", "maintainer": null, "maintainer_email": null, "metadata_created": "2026-02-12T09:04:09.217058", "metadata_modified": "2026-02-12T09:04:09.217064", "name": "predicted-seabed-gravel-mud-and-sand-content-in-the-timor-sea-region-in-the-australian-con-20189", "notes": "This dataset provides the spatially continuous data of seabed gravel (sediment fraction &gt;2000 \u00b5m), mud  (sediment fraction &lt; 63 \u00b5m) and sand content (sediment fraction 63-2000 \u00b5m) expressed as a weight percentage ranging from 0 to 100%, presented in 10 m resolution raster grids format and ascii text file.\n\n\nThe dataset covers the eight areas in the Timor Sea region in the Australian continental EEZ.\n\n\nThis 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). 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