V003
Data-Driven Research in Geochemistry: Status Quo and Future Possibilities
Session ID#: 159073
Session Description:
Geochemistry is fundamental for understanding Earth system processes, with numerous applications in environment, resources, geohealth, oceans, and agriculture research. The increasing rate of data generation is complemented by growing cyberinfrastructure, enabling new capabilities in accessing, processing, and modeling large datasets. These recent developments showcase the immense potential of data-driven research in geochemistry to enhance our understanding of Earth system processes, whilst affirming a growing need for globally standardized geochemical data.
This session will explore the possibilities and requirements for data-driven approaches to challenges in geochemistry. We seek contributions from 1) all aspects of geochemical research (including atmospheric, hydrological, sedimentary, mineralogical, and petrology) where large datasets are handled by statistical, graphical analysis, and/or machine learning/AI techniques; and 2) providers/developers of data systems and infrastructures. We aim to showcase existing solutions and best practices that enable geochemistry data to be shared, integrated, and repurposed to meet emerging scientific challenges.
Co-Organized:
Co-Sponsor(s):
Index Terms:
1099 General or miscellaneous [GEOCHEMISTRY]
1908 Cyberinfrastructure [INFORMATICS]
1912 Data management, preservation, rescue [INFORMATICS]
3699 General or miscellaneous [MINERALOGY AND PETROLOGY]
Primary Convener: Marthe Klöcking, University of Göttingen, Geochemistry and Isotope Geology, Göttingen, Germany
Conveners: Alexander Prent, Curtin University, John de Laeter Centre, Faculty of Science & Engineering, Perth, WA, Australia, Lesley A Wyborn, Australian National University, Canberra, ACT, Australia and J ZhangZhou, Zhejiang University, Hangzhou, China
The creation of a multivariable data set for use in machine learning classification of ungrouped chondritic meteorites (1127270)
Maureen Clark1,2, Alexandra Ostroverkhova2, Anirudh Prabhu3 and Shaunna M Morrison3, (1)University of Maryland College Park, College Park, MD, United States, (2)Carnegie Institution for Science, Earth and Planets Laboratory, Washington, United States, (3)Carnegie Institution for Science, Earth and Planets Laboratory, Washington, DC, United States
Automating workflows for astro-materials analytical data: development of standards for OSIRIS-REx Sample Return Data (1168043)
Stephen M Richard, U.S. Geoscience Information Network, Tucson, AZ, United States, Carina A. Bennett, Austin, TX, United States, Taylor Johnson, Dust Data Management, Tucson, United States and M. Katherine Crombie, Indigo Information Services, LLC, Tucson, AZ, United States
Quantifying Efficacy of Information for Soil Geochemical Survey Planning (1181362)
Timothy Lui1, David Zhen Yin2, Tyler Hall2, Alex Miltenberger1, Celine Scheidt3 and Jef Caers2, (1)Stanford University, Stanford, CA, United States, (2)Stanford University, Department of Geological Sciences, Stanford, CA, United States, (3)Stanford University, Department of Energy Resources Engineering, Stanford, CA, United States
The IEDA2 Facility - Harmonizing FAIR Sample (Meta)Data for VGP Research (1181374)
Lucia Profeta1, Kerstin Lehnert1, Sarah Ramdeen1, Peng Ji1, Roger L. Nielsen2, Gokce K Ustunisik3, J. Douglas Walker4, Karin A Block5 and Michael Grossberg5, (1)Columbia University, Lamont-Doherty Earth Observatory, Palisades, United States, (2)South Dakota School of Mines and Technology, Geology and Geological Engineering, Rapid City, United States, (3)South Dakota School of Mines and Technology, Geology and Geological Engineering, Rapid City, SD, United States, (4)University of Kansas, Geology, Lawrence, KS, United States, (5)City College of New York, New York, United States
OneGeochemistry: Progress on the Path toward Shared, Reusable, and Interoperable Geochemical Data (1189876)
Kerstin Lehnert, Lamont -Doherty Earth Observatory, Palisades, NY, United States, Lesley A Wyborn, Australian National University, Canberra, ACT, Australia, Marthe Klöcking, University of Göttingen, Göttingen, Germany, Alexander Prent, Curtin University, John de Laeter Centre, Faculty of Science & Engineering, Perth, WA, Australia, Dominik C Hezel, University of Frankfurt, Frankfurt, Germany, Geertje ter Maat, Utrecht University, Utrecht, Netherlands and Lucia Profeta, Columbia University, Lamont-Doherty Earth Observatory, Palisades, United States
Challenging the Status Quo: What Databases/Data Compilations are You Using for Your Data-Driven Geochemical Research? Will they still be accessible in 2030? Are your data compilations ethical? (1191848)
Lesley A Wyborn, Australian National University, Canberra, ACT, Australia, Marthe Klöcking, University of Göttingen, Göttingen, Germany, Kerstin Lehnert, Columbia University, Lamont-Doherty Earth Observatory, Palisades, United States, Alexander Prent, Curtin University, John de Laeter Centre, Faculty of Science & Engineering, Perth, WA, Australia, Rebecca Farrington, University of Melbourne, Parkville, VIC, Australia and Jens F Klump, CSIRO Earth Science Resource Engineering, Perth, Australia
Biomarker signatures of the Early Cambrian Niutitang Formation from Yangtze Region South China: Implications for nature of source rock (1065081)
Rizwan Sarwar Awan1, Chenglin Liu2, Jun Liu1 and Khawaja Hasnain Iltaf3, (1)HeFei University of Technology, School of Resources and Environmental Engineering, Anhui, China, (2)China University of Petroleum Beijing China, College of Geosciences, Changping Beijing, China, (3)University of Texas at Arlington, Department of Earth and Environmental Sciences, Arlington, United States
Exploring martian geology and habitability via mineral network analysis (Invited) (1056617)
Shaunna M Morrison1, Abigail Cantoni1,2, Anirudh Prabhu1, Arya Udry3, Robert Hazen1 and Alexandra Ostroverkhova4, (1)Carnegie Institution for Science, Earth and Planets Laboratory, Washington, DC, United States, (2)George Mason University, Fairfax, United States, (3)University of Nevada Las Vegas, Las Vegas, NV, United States, (4)Carnegie Institution for Science, Earth and Planets Laboratory, Washington, United States
Developing a Machine Learning-Based Calibration for LIBS (Laser-Induced Breakdown Spectrometer) Analysis of Geological Materials (1094101)
Samuel Shekut, University of British Columbia, Department of Earth, Ocean and Atmospheric Sciences, Vancouver, BC, Canada and Joel E Saylor, University of British Columbia, Department of Earth, Ocean, and Atmospheric Sciences, Vancouver, BC, Canada
Optimizing the GEOROC Global Geochemical Database to Enable Next-Generation Interdisciplinary Research (1100557)
Marthe Klöcking1, Adrian Sturm2, Baerbel Sarbas1, Wolfram Horstmann2, Leander Kallas1, Stefan Möller-McNett3, Jens Nieschulze4, Daniel Kurzawe2, Matthias Willbold1 and Gerhard Wörner1, (1)University of Göttingen, Geochemistry and Isotope Geology, Göttingen, Germany, (2)Göttingen State and University Library, Göttingen, Germany, (3)University of Göttingen, Geoscience Centre, Göttingen, Germany, (4)University of Göttingen, eResearch Alliance, Göttingen, Germany
The elements of the ‘mantle zoo’ inferred from multi-variate statistical data analysis (t-SNE) (Invited) (1065551)
Andreas Stracke1, Michael Willig2, Felix S Genske1, Paul Beguelin1 and Erin Todd3, (1)Westfälische Wilhelms-Universität Münster, Institut für Mineralogie, Münster, Germany, (2)GS1 Netherlands, Amstelveen, Netherlands, (3)USGS, Anchorage, United States
