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    This is the mineral subset of the NSW drilling dataset available from Geoscientific Data Warehouse. The drillhole data has been compiled over time from various sources including mineral exploration reports and departmental records.It provides drill collar information for mineral drillholes and associated data including classification of drilling purpose, drill type, licencee/driller information, date the hole was drilled and depth of hole drilled, azimuth/dip and references. This data is part of the New South Wales Geoscientific Data Warehouse (NSW GDW) series.

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    This map layer shows the locations of in-stream water monitoring stations used by coal mining companies to monitor water quality in the Upper Hunter catchment. This information is provided by the coal companies as part of the Upper Hunter Mining Dialogue in cooperation with NSW Minerals Council and the community. A different coloured symbol is used for each coal company.

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    AEM curtains are a set of cross-sections generated using geophysical inversion to convert AEM data to conductivity (m/S) versus depth below surface (m). These data represent the conductivity of soil and rocks to a depth of about 400 m. A pseudocolour-stretch has been applied to the data. Blue represents low conductivity values and red represents high values. The colours vary due to; (1) natural variations in the electrical properties of soils, rocks, minerals and groundwater, (2) man-made structures, radio-transmissions and lightning strike and (3) AEM system artefacts.

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    This layer shows a depth slice from a 3D resistivity model of the crust derived from an inversion of the AusLAMP NSW long period MT data.

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    Pseudocolour image of the concentration of thorium in parts per million within in the upper 20 centimetres of the ground. Cooler colours indicate lower abundances of thorium and warmer colours represent higher abundances. Variations in thorium values are caused varied mineral compositions in host rocks and soils. This statewide image was generated by merging many individual airborne radiometric surveys.

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    This layer shows a depth slice from a 3D resistivity model of the crust derived from an inversion of the AusLAMP NSW long period MT data.

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    The semi-transparent Bouguer gravity image is displayed using cooler colours (blue) to indicate lower gravity values and warmer colours (red) represent higher values. The underlying greyscale tilt-angle filtered total magnetic intensity image has been reduced to the pole (Tilt TMI RTP). The tilt-angle filter of the total magnetic intensity produces a local positive maximum (white) over a magnetic source and is zero near the edge of the source (grey), and is useful for tracing geological structure below variable depths of cover. Both image layers were generated using a histogram-equalised colour-stretch. Attention: Please ensure your version of the NSW gravity merges contains the date ‘2024-10-30’ in their filename. An update was made to remedy location errors in the initial release. Apologies for any inconvenience.

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    Spatial data set showing Mining Divisions within New South Wales. Each Mining Division has a Mining Registrar. A title is considered to be within the Mining Division in which the most northeasterly portion of the title lies.

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    Pseudocolour image of the ratio between thorium and potassium within the upper 20 centimetres of the ground. This image was generated using normalised input grids to avoid ‘divide by zero’ errors. Cooler colours indicate lower abundances of thorium relative to potassium and warmer colours represent the opposite. Variations in Th/K ratio are caused varied mineral compositions in host rocks and soils. This statewide image was generated by merging many individual airborne radiometric surveys.

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    Pseudocolour image of the percentage of potassium (K%) in the upper 20 centimetres of the ground. Cooler colours indicate lower abundances of potassium and warmer colours represent higher abundances. Variations in potassium values are caused by varied mineral compositions in host rocks and soils. This statewide image was generated by merging many individual airborne radiometric surveys.