853c4100-9704-4b8b-80e9-467260ff9905 urn:uuid en UTF-8 nonGeographicDataset nonGeographicDataset 2026-01-08T13:07:24 creation ISO 19115 2016 Machine Learning Models WCS 853c4100-9704-4b8b-80e9-467260ff9905 This web service contains map layers and coverages for machine learning models, using raster datasets which include radiometric grid infill, cover depths and conductivity. All grids have been converted to cloud-optimised GeoTIFF (COG) format for use and delivery from an cloud-based object store (AWS s3). {"type": "Polygon", "coordinates": [[[112.899914375, -43.76050004081041], [153.671914375, -43.76050004081041], [153.671914375, -8.999500000938234], [112.899914375, -8.999500000938234], [112.899914375, -43.76050004081041]]]} 112.899914375 153.671914375 -43.76050004081041 -8.999500000938234 Australia Published_External Surface Conductivity WCS grid machine learning potassium radiometric thorium uranium web service Machine Learning Models WCS documentDigital Machine Learning Models WCS WCS Unnamed resource documentDigital WCS