Deep-time Digital Earth (DDE)
Data Infrastructure and Analytics
Kunshan, Jiangsu 757 followers
Understanding the past to illuminate the future
About us
Deep-time Digital Earth (DDE) is an International Union of Geological Sciences (IUGS) Big Science initiative to promote a data-driven discovery research paradigm for earth sciences. DDE is a global organization with members and participants representing over 40 different countries around the world. DDE aims to connect existing geodatabases, transform analog data to facilitate their integration into digital databases, and guide geodatabase development following Open Science and FAIR (findable, accessible, interoperable, and reusable) principles. Through its cloud-computing Platform and Deep-time Earth Engine facilities, DDE will serve scientists, educators, policy professionals, and the public for the benefit of all society. Learn more about DDE's Mission and Vision by visiting our website! #geology #geophysics #science #machinelearning #ai #cloudcomputing #openscience #aiforgood #digital #science
- Website
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http://www.ddeworld.org
External link for Deep-time Digital Earth (DDE)
- Industry
- Data Infrastructure and Analytics
- Company size
- 11-50 employees
- Headquarters
- Kunshan, Jiangsu
- Type
- Nonprofit
- Founded
- 2019
Locations
Employees at Deep-time Digital Earth (DDE)
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Natarajan Ishwaran
Director, International Relations at Deep-time Digital Earth (DDE) Centre
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Whitney Landress
Director of Carbon Strategy at TMT; DDE Secretariat & Webmaster, VP Tulsa IrishFest
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Zheng (Ashley) Tong
Secretary at Deep-time Digital Earth (DDE)
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Haipeng Li
Postdoctoral Researcher at Deep-time Digital Earth
Updates
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What to know more about DDE in West Africa? Come to this event which highlights some of the best science in the world being done with the DDE Platform: 6th August on Zoom, 12.00 WAT. The event will consist of a talk from Prof Junxuan Fan on his recent research published in Science magazine, followed by details of the DDE Platform by Shadrach Sherriff. OneStratigraphy: Revealing the Earth's Deep History through Global Harmonization of Stratigraphic Data Abstract: The Deep-time Digital Earth (DDE) is a Big Science program recognized by the International Union of Geological Sciences (IUGS). One of its primary goals is to create a platform that aligns geoscience informatics initiatives with the FAIR (Findable, Accessible, Interoperable, and Reusable) principles. This landmark ten-year project aims to unify global deep-time geospatial data across the Earth's biosphere, lithosphere, and hydrosphere. The ultimate goal is to advance data-driven discoveries about Earth's deep-time history. Within the DDE framework, OneStratigraphy was established in early 2019 to harmonize global stratigraphic data. Currently, the OneStratigraphy database contains more than 1.7 million fossil occurrences from nearly 20,000 sections and drillcores from around the world. This extensive dataset, derived from literature, stratigraphic reports, and unpublished work, spans major continents and oceans and adheres to consistent standards to ensure data quality. The integration of various tools into the OneStratigraphy system, including TS Creator for stratigraphic visualization and PaleoGIS and GPlates for paleogeographic visualization, enhances its capabilities. As a result, the growing volume of data and powerful analysis tools make OneStratigraphy an invaluable resource for innovative research, such as developing refined geologic time scales, exploring high-resolution evolutionary histories of life, and investigating the biotic and abiotic factors that influence the evolution and distribution of life.
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Old Harry Rocks: https://lnkd.in/dSAuTgfZ
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Lyme Regis cliffs: https://lnkd.in/dSAuTgfZ
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Hunstanton cliffs: https://lnkd.in/dSAuTgfZ
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Elephant rock: https://lnkd.in/dSAuTgfZ
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The white cliffs of Dover: https://lnkd.in/dSAuTgfZ
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Recently I had the chance to work with an International Union of Geological Sciences (IUGS) Deep-time Digital Earth (DDE) team and partners Alibaba, that are developing large language models in geology and even for the International Olympic Committee. I wanted to know if the team could develop artificial intelligence methods to augment a traditional taxonomic key. Could a palynologist sitting by their microscope get some help from a Large Language Model (LLM) in determining a species? It turns out that palynology very much lends itself to developing a professional LLM that might be very useful in teaching taxonomy to apprentice palynologists, or to professionals in environments that require expertise in many areas of palynology. It could also have particular use in the Global South where access to reference materials may be difficult.