Geological Maps at the 1:100 000 scale for all of NSW. This data has been synthesised into the 1:1 500 000 scale map of NSW, which forms the base layer of Minview.

The Geological Survey of NSW developed a Seamless Geology of UTM Zone 56 during 2014 as part of a project to develop a seamless vector geology dataset of the best available geological mapping data covering the whole of NSW.The overarching aims of the Statewide Seamless Geology Project were to: (i) compile the different original scales, formats and rock unit naming conventions into a consistent, statewide format; (ii) edge-match the geology across existing map sheets; and (iii) interpret the basement geology under cover. The resulting geodatabase comprises a series of layers which include: (i) solid basement geology; (ii) cover rocks (defined as undeformed and unmetamorphosed); (iii) Mesozoic igneous rocks; and (iv) Cenozoic sedimentary and igneous rocks. The project was divided into 3 major stages corresponding to the UTM zones which divide New South Wales. This dataset includes the seamless geology layers from the NSW portion of UTM Zone 56 (ie.east of 150 degrees longitude to the coast).

The size of a mineral deposit is based on the cumulative value of the contained commodity (considering total production and estimated global resource) as estimated at November 2009. Commodity prices used to calculate these monetary values are based on the average metal (commodity) price for January 2009 converted to Australian dollars. Deposits have been classified using the terms in the Mineral Systems of New South Wales schema.Individual deposits have been assigned to a specific deposit-type based on a range of criteria including, but not limited to: ore and gangue mineralogy, alteration, host lithology, age constraints, lead and sulfur isotope characteristics, deposit and vein morphology and geological setting.

The New South Wales 1:1 500 000 scale geology has been compiled from numerous geological maps and regional geological synthesis datasets from the Geological Survey of New South Wales and Geoscience Australia. As part of a project to produce a surface geology map of Australia, Geoscience Australia (Liu et al. 2005) undertook substantial simplification and generalisation of these datasets to produce a seamless geology dataset of New South Wales at 1:1 000 000. This 1:1 000 000 geology dataset has been further simplified, generalised and updated by the Geological Survey of New South Wales to produce the present data set at 1:1 500 000

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.

Geothermal gradient model (2023) created by Geognostics with support from government and industry. The geothermal gradient describes how temperature increases with depth inside the Earth. It is expressed in degrees Celsius per kilometre (°C/km). The linear geothermal gradients are from the top of SEEBASE to the surface. These were calculated using the combined heat-flow contribution of multiple crustal heat sources including upper mantle, radiogenic upper crust, and sediment thickness. The highest calculated geothermal gradients are generally related to areas interpreted to be underlain by granitic intrusions in the basement. The composition and heat production characteristics of the granites are largely unconstrained by analyses

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.

Core library samples that have been scanned by the NSW Hylogger. The HyLogger system acquires information on rock, ore and alteration minerals in drillcore, chips and pulps that are often difficult or impossible for the human eye to interpret correctly. Reflected light from the samples is broken into hundreds of different wavelengths by several spectrometers, allowing the recognition of unique spectral signatures for each mineral. This technology is also used on cores from petroleum and carbon dioxide (CO2) geosequestration wells to obtain mineralogical data that may complement porosity and permeability studies. X-ray diffraction and X-ray fluorescence instruments are used for rapid characterisation of a wide range of geological materials and for validating HyLogger data. The GSNSW offers a number of HyLogger scanning services to industry and academia. Each service requires a level of investment by the client and offers different periods of confidentiality.

Drillhole sample geochemistry that has been reported by title holders to the department as part of the mineral exploration reporting requirements. The data is provided annually in the form of exploration data files and stored with the relevant tenement report in DIGS. Data mining of digital exploration data files stored in DIGS is largely complete for the period 2001 to present. Data mining continues for DIGS reports earlier than 2001 using OCR (optical character recognition) software to convert raster data into digital files for loading. Validation of data is an ongoing process. Data available to the public and industry is restricted to DIGS open file reports.