A geospatial platform for the tectonic interpretation of low-temperature thermochronology Big Data

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dc.contributor.authorBoone, S.C.
dc.contributor.authorKohlmann, F.
dc.contributor.authorNoble, W.
dc.contributor.authorTheile, M.
dc.contributor.authorBeucher, R.
dc.contributor.authorKohn, B.
dc.contributor.authorGlorie, S.
dc.contributor.authorDanišík, M.
dc.contributor.authorZhou, R.
dc.contributor.authorMcMillan, M.
dc.contributor.authorNixon, A.
dc.contributor.authorGleadow, A.
dc.contributor.authorQin, X.
dc.contributor.authorMüller, D.
dc.contributor.authorMcInnes, B.
dc.date.issued2023
dc.descriptionPublished online: 26 May 2023
dc.description.abstractLow-temperature thermochronology is a powerful tool for constraining the thermal evolution of rocks and minerals in relation to a breadth of tectonic, geodynamic, landscape evolution, and natural resource formation processes through deep time. However, complexities inherent to these analytical techniques can make interpreting the significance of results challenging, requiring them to be placed in their geological context in 4-dimensions (3D + time). We present a novel tool for the geospatial archival, analysis and dissemination of fission-track and (U-Th)/He data, built as an extension to the open-access AusGeochem platform (https://ausgeochem.auscope.org.au) and freely accessible to scientists from around the world. To demonstrate the power of the platform, three regional datasets from Kenya, Australia and the Red Sea are placed in their 4D geological, geochemical, and geographic contexts, revealing insights into the tectono-thermal evolutions of these areas. Beyond facilitating data interpretation, the archival of fission track and (U-Th)/He (meta-)data in relational schemas unlocks future potential for greater integration of thermochronology and numerical geoscience techniques. The power of formatting data to interface with external tools is demonstrated through the integration of GPlates Web Service with AusGeochem, enabling thermochronology data to be readily viewed in their paleogeographic context through deep time from within the platform.
dc.description.statementofresponsibilitySamuel C. Boone, Fabian Kohlmann, Wayne Noble, Moritz Theile, Romain Beucher, Barry Kohn, Stijn Glorie, Martin Danišík, Renjie Zhou, Malcolm McMillan, Angus Nixon, Andrew Gleadow, Xiaodong Qin, Dietmar Müller and Brent McInnes
dc.identifier.citationScientific Reports, 2023; 13(1):8581-1-8581-15
dc.identifier.doi10.1038/s41598-023-35776-3
dc.identifier.issn2045-2322
dc.identifier.issn2045-2322
dc.identifier.orcidBoone, S.C. [0000-0003-2274-7933]
dc.identifier.orcidGlorie, S. [0000-0002-3107-9028]
dc.identifier.orcidNixon, A. [0000-0003-3638-1864]
dc.identifier.urihttps://hdl.handle.net/2440/138616
dc.language.isoen
dc.publisherNature Publishing Group
dc.relation.granthttp://purl.org/au-research/grants/arc/LP210100173
dc.relation.granthttp://purl.org/au-research/grants/arc/FT210100906
dc.rights© The Author(s) 2023. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
dc.source.urihttps://doi.org/10.1038/s41598-023-35776-3
dc.titleA geospatial platform for the tectonic interpretation of low-temperature thermochronology Big Data
dc.typeJournal article
pubs.publication-statusPublished

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