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This dataset contains an archive for an implicit 3D geological model of the Yerrida Basin, southern Capricorn region, Western Australia. Yerrida_Basin_3D.zip is a GeoModeller three dimensional geological model. Also included are 2D and 3D voxets resulting from inversion of gravity data using the geological model as a constraint. Geomodeller software is available from here: https://www.intrepid-geophysics.com/ig/index.php?page=downloads This is a companion dataset for the paper submitted to the scientific journal Solid Earth: Mapping undercover: integrated geoscientific interpretation and 3D modelling of a Proterozoic basin. Mark D Lindsay, Sandra Occhipinti, Crystal LaFlamme, Alan Aitken, Lara Ramos.
The Geological Survey of Western Australia, Minerals Research Institute of Western Australia and the Australian Research Council (DE190100431) are thanked for their support. Funding for this work was also provided by the Western Australian Government Exploration Incentive Scheme grant awarded to UWA by the Geological Survey of Western Australia and the 'Distal Footprints of Giant Ore Systems - UNCOVER Australia', CSIRO Science & Industry Endowment Fund (SIEF).
3D geological model, inversion, Yerrida, Basin, Geomodeller
3D geological model, inversion, Yerrida, Basin, Geomodeller
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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