Preamble -- The 'National Geochemical Survey of Australia: The Geochemical Atlas of Australia' was published in July 2011 along with a digital copy of the NGSA geochemical dataset (doi: 10.11636/Record.2011.020). The NGSA project is described here: www.ga.gov.au/ngsa. The present dataset contains additional geochemical data obtained on NGSA samples: the Plutonium Isotopes Dataset. Abstract -- Seventy three fine-fraction (<75 um) Top Outlet Sediment (TOS, 0 – 10 cm depth) NGSA samples from Queensland were analysed for the plutonium (Pu) isotopes 238Pu and 239+240Pu (unresolved 239Pu and 240Pu) to determine: (1) if Pu is detectable in the Australian environment; and (2) what the levels and ranges of Pu retention in selected Queensland catchment soils are. Radiochemical analyses were performed by alpha spectrometry at the radioanalytical laboratories of Radiation and Nuclear Sciences, Department of Health, Queensland, and at the Australian Radiation Protection and Nuclear Safety Agency (ARPANSA), Victoria. The method yielded a 239+240Pu trace-level detection limit of 0.04 mBq/g (equivalent to 10.4 fg/kg or 0.0056 net counts per minute) with a relative standard deviation (RSD) of 15.1%. The average tracer recovery was 69% (RSD 25%) over a 3-day count. Total analytical uncertainty ranged from 19% to 90% at close to detection limits. Field duplicate repeatability for 239+240Pu activity concentration ranged from 18% to 45%, which in part at least reflects the inherent heterogeneity of soil/sediments containing refractory particles exhibiting variation in Pu activity concentrations. Analytical duplicate repeatability for 239+240Pu activity concentration ranged from 10% to 23%, with the mean activity concentration and error of the replicates reported with propagation of errors. The results show a wide range of 239+240Pu activity concentration in the fine TOS NGSA samples across Queensland (N = 73): 239+240Pu: Min = <0.04 mBq/g; Med ± MAD (median absolute deviation) = 0.09 ± 0.07 mBq/g; Mean ± SD = 0.29 ± 0.72 mBq/g; 95th percentile = 1.53 mBq/g; Max = 4.88 mBq/g. In comparison the world average background is estimated at 0.2 mBq/g. Analytical results for 39% of samples were below detection. Six samples with 239+240Pu > 0.18 mBq/g (70th percentile) were also analysed for 238Pu by the same alpha spectrometry method. Results ranged from 0.04 to 0.1 mBq/g (N = 6). The complete dataset is available to download as a comma separated values (CSV) file from Geoscience Australia's website (https://pid.geoscience.gov.au/dataset/ga/144101).

The National Geochemical Survey of Australia (<a href="http://www.ga.gov.au/ngsa" title="NGSA website" target="_blank">NGSA</a>) is Australia’s only internally consistent, continental-scale <a href="http://dx.doi.org/10.11636/Record.2011.020" title="NGSA geochemical atlas and dataset" target="_blank">geochemical atlas and dataset</a>. The present dataset contains additional mineralogical data obtained on NGSA samples selected from the Darling-Curnamona-Delamerian (<a href="https://www.ga.gov.au/eftf/projects/darling-curnamona-delamerian" title="DCD website" target="_blank">DCD</a>) region of southeastern Australia for the first partial data release of the Heavy Mineral Map of Australia (HMMA) project. The HMMA, a collaborative project between Geoscience Australia and Curtin University underpinned by a pilot project establishing its feasibility, is part of the Australian Government-funded Exploring for the Future (<a href="https://www.ga.gov.au/eftf" title="EFTF website" target="_blank">EFTF</a>) program. The selected 223 NGSA sediment samples fall within the DCD polygon plus an approximately one-degree buffer. The samples were taken on average from 60 to 80 cm depth in floodplain landforms, dried and sieved to a 75-430 µm grainsize fraction, and the contained heavy minerals (HMs; i.e., those with a specific gravity >2.9 g/cm³) were separated by dense fluids and mounted on cylindrical epoxy mounts. After polishing and carbon-coating, the mounts were subjected to automated mineralogical analysis on a TESCAN® Integrated Mineral Analyzer (TIMA). Using scanning electron microscopy and backscatter electron imaging integrated with energy dispersive X-ray analysis, the TIMA identified over 140 different HMs in the DCD area. The dataset, consisting of over 29 million individual mineral grains identified, was quality controlled and validated by an expert team. The data released here can be visualised, explored and downloaded using an online, bespoke mineral network analysis tool (<a href="https://geoscienceaustralia.shinyapps.io/mna4hm/" title="MNA website" target="_blank">MNA</a>) built on a cloud-based platform. Accompanying this report are a data file of TIMA results and a mineralogy vocabulary file. When completed in 2023, it is hoped the HMMA project will positively impact mineral exploration and prospectivity modelling around Australia, as well as have other applications in earth and environmental sciences.

<p>Australia has a significant number of surface sediment geochemical surveys that have been undertaken by industry and government during the past 50 years. These surveys represent a vast investment, but up to now have been used in isolation from one another. The key to maximising the full potential of these data and the information they provide for mineral exploration, environmental management and agricultural purposes is using all surveys together, seamlessly. These geochemical surveys have not only sampled various landscape elements but have used multiple analytical techniques, instrumentation and laboratories. The geochemical data from these surveys need to be levelled to eliminate, as much as possible, non-geological variation. Using a variety of methodologies, including reanalysis of both international standards and small subsets of samples from previous surveys, we have created a seamless surface geochemical map for northern Australia, from nine surveys with 15605 samples. We tested our approach using two surveys from the southern Thomson Orogen, which removed interlaboratory and other analytical variation. Creation of the new combined and levelled northern Australian dataset paves the way for the application of statistical techniques, such as principal component analysis and machine learning, which maximise the value of these legacy data holdings. The methodology documented here can be applied to additional geochemical datasets that become available. <p><b>Citation:</b> Main, P. T. and Champion, D. C., 2020. Geochemistry of the North Australian Craton: piecing it together. In: Czarnota, K., Roach, I., Abbott, S., Haynes, M., Kositcin, N., Ray, A. and Slatter, E. (eds.) Exploring for the Future: Extended Abstracts, Geoscience Australia, Canberra, 1–4.