Soils mapped in raster format with 90-m pixels. The soil classes are Western Australian Soil Groups. The soil type rasters were derived from the conventional soil landscape mapping (polygon maps) in 2013. The probability of occurrence of each soil class was predicted per pixel; the three most probable classes are available here, and individual class probabilities are available on request. (3) SoilGroup_MaxClass3.tif: The third highest probability Soil Group predicted License: Creative Commons Attribution Tags: soil, soil groups Contact: gis@dpird.wa.gov.au

Soils mapped in raster format with 90-m pixels. The soil classes are Western Australian Soil Groups. The soil type rasters were derived from the conventional soil landscape mapping (polygon maps) in 2013. The probability of occurrence of each soil class was predicted per pixel; the three most probable classes are available here, and individual class probabilities are available on request. Datasets: (1) SoilGroup_MaxClass1.tif: The highest probability Soil Group predicted License: Creative Commons Attribution Tags: soil, soil groups Contact: gis@dpird.wa.gov.au

https://catalogue.data.wa.gov.au/dataset/1-500-000-state-cenozoic-geology-dmirs-078

The WACHEM database is a compilation of multi-element geochemistry of rocks unconsolidated surface material (regolith) and drill core collected by the Geological Survey of Western Australia. Samples have been analysed for a range of major element oxides, trace elements, rare earth elements (REE), and isotopes by a variety of analytical approaches at commercial, government and university laboratories. In most cases, analysis of unknowns has been carried out along with samples of know composition (reference materials), a second sample of the unknown (sample duplicate), and material which does not contain detectable amounts of elements of interest (blank). These data are included with analysis of unknowns, and these quality control data can be used to gauge the quality of analysis. For inclusion in the geochemical database, analytical data for each element in each sample must include the unit of measurement, lower level of detection (LLD) of that element, and an indication of the analytical technique (usually specified as a laboratory-specific code). To minimise the inclusion of spurious data in the database, analytical batch data are loaded with reference to a set of look up tables, against which data can be checked for consistency. License: Creative Commons Attribution Tags: GSWA, Geochemistry, Geology, Geoscience, Minerals, WACHEM Contact: zzSlipDataAdmin@dmirs.wa.gov.au

https://catalogue.data.wa.gov.au/dataset/1-2500000-state-cenozoic-geology-dmirs-076

Lime sample analyses contains geoscientific and analytical data from calcrete, dolomite, limesand and limestone samples collected during fieldwork. The data are held in GDA 94 License: Creative Commons Attribution Tags: Analyses, Geology, Geosciences, Industry, Lime, Mine, Minerals, Mining Contact: landuseplanning@dmirs.wa.gov.au

https://catalogue.data.wa.gov.au/dataset/1-2-500-000-state-interpreted-dyke-suites-dmirs-077