Articles | Volume 11, issue 4 
            
                
                    
            
            
            https://doi.org/10.5194/essd-11-1553-2019
                    © Author(s) 2019. This work is distributed under 
the Creative Commons Attribution 4.0 License.
                the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-11-1553-2019
                    © Author(s) 2019. This work is distributed under 
the Creative Commons Attribution 4.0 License.
                the Creative Commons Attribution 4.0 License.
Global whole-rock geochemical database compilation
Matthew Gard
CORRESPONDING AUTHOR
                                            
                                    
                                            Department of Earth Sciences, University of Adelaide, North
Terrace, SA, 5005, Australia
                                        
                                    Derrick Hasterok
                                            Department of Earth Sciences, University of Adelaide, North
Terrace, SA, 5005, Australia
                                        
                                    
                                            Mawson Centre for Geoscience (MCG), University of Adelaide, North Terrace, SA, 5005, Australia
                                        
                                    Jacqueline A. Halpin
                                            Institute for Marine and Antarctic Studies (IMAS), University of Tasmania, Hobart, TAS, 7001, Australia
                                        
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                            Cumulative views and downloads 
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- Metamorphism and its bearing on geosystems R. Palin 10.1016/j.geogeo.2021.100012
- The Antarctic Crust and Upper Mantle: A Flexible 3D Model and Software Framework for Interdisciplinary Research T. Stål et al. 10.3389/feart.2020.577502
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- A reappraisal of the global tectono-magmatic lull at ∼ 2.3 Ga K. Condie et al. 10.1016/j.precamres.2022.106690
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- A new approach to dividing the tectonic setting of igneous rocks: machine learning and GeoTectAI software M. Lei et al. 10.1007/s12145-024-01385-5
- A database for igneous rocks of the Newfoundland Appalachians C. Wang et al. 10.1038/s41597-025-05090-w
- A geothermal heat flow model of Africa based on random forest regression M. Al-Aghbary et al. 10.3389/feart.2022.981899
- Antarctic Geothermal Heat Flow Model: Aq1 T. Stål et al. 10.1029/2020GC009428
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- Precise discrimination of basalt tectonic settings via dual-stream model with geochemical element matrix and series learning S. Wu et al. 10.1016/j.chemgeo.2025.122746
- The predicted persistence of cobalt in lithium-ion batteries W. Gent et al. 10.1038/s41560-022-01129-z
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- Diverse source materials contributed to a secular increase in δ18O for the Paleo-Mesoproterozoic A2-type granites G. Lu et al. 10.1016/j.epsl.2024.118885
- Continental lithospheric temperatures: A review S. Goes et al. 10.1016/j.pepi.2020.106509
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3 citations as recorded by crossref.
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- Chemical identification of metamorphic protoliths using machine learning methods D. Hasterok et al. 10.1016/j.cageo.2019.07.004
- Global whole-rock geochemical database compilation M. Gard et al. 10.5194/essd-11-1553-2019
Latest update: 31 Oct 2025
Short summary
                    We compiled a database of more than 1 million chemical analyses of igneous, sedimentary and metamorphic rocks, derived from existing databases, governmental data and academic studies. Our database enhances temporal distributions, simplifies the structure, and adds geochemical indices, naming schema, and estimates of physical properties such as density. This database provides a source for the rapid production of crustal models and chemical evolution throughout 4 billion years of geologic history.
                    We compiled a database of more than 1 million chemical analyses of igneous, sedimentary and...
                    
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