Dataset

Palaeo-age, depth-to-basement and bathymetry data for the world's ocean basins

The University of Sydney
Dietmar Muller (Aggregated by) Maria Seton (Aggregated by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.4227/11/5587A8676BB31&rft.title=Palaeo-age, depth-to-basement and bathymetry data for the world's ocean basins&rft.identifier=http://dx.doi.org/10.4227/11/5587A8676BB31&rft.publisher=The University of Sydney&rft.description=This data collection is associated with the publication: Müller, R. D., Sdrolias, M., Gaina, C., Steinberger, B., & Heine, C. (2008). Long-term sea-level fluctuations driven by ocean basin dynamics. Science, 319(5868), 1357-1362. doi: 10.1126/science.1151540 Publication Abstract We establish the locations and geometry of mid ocean ridges through time on the basis of marine magnetic anomaly identifications, geological information such as paleomagnetic data from terranes and microcontinents, especially in the Tethys Ocean, mid-oceanic ridge subduction events and the rules of plate tectonics. Based on a global set of tectonic plate rotations we construct a set of refined seafloor isochrons following the interpolation technique outlined by Müller et al. (1997; 2008) but including a multitude of additional data. Using a published age-depth relationship (GDH-1), we compute the depth-area distribution of the ocean basins. We choose GDH-1 for converting age to depth because this relationship is based on sediment-corrected depths without excluding data from hotspot swells and seamounts. Therefore GDH-1 provides a good average fit to sediment unloaded oceanic basement depths and is preferable for predicting the average oceanic basement depth through time, including thermally rejuvenated lithosphere, as compared to models that reflect ocean depth changes related to plate ageing through time only. Three additional factors play a significant role in controlling global ocean basin depth through time, namely the generation of oceanic large igneous provinces (LIPS), oceanic sedimentation (2) and changes in oceanic crustal area. We create a set of paleo-bathymetry maps by adding major oceanic plateaus and sediment thickness to our reconstructed basement depth maps. These maps allow us to compute oceanic crustal area and mean depth through time. Authors and Institutions R. Dietmar Müller - EarthByte Research Group, School of Geosciences, The University of Sydney, Australia. ORCID: 0000-0002-3334-5764 Maria Sdrolias (now Maria Seton) - EarthByte Research Group, School of Geosciences, The University of Sydney, Australia. ORCID: 0000-0001-8541-1367 Carmen Gaina - Center for Geodynamics, Geological Survey of Norway, Norway Bernhard Steinberger - Center for Geodynamics, Geological Survey of Norway, Norway Christian Heine - EarthByte Research Group, School of Geosciences, The University of Sydney, Australia Overview of Resources Contained This data collection includes a reconstruction of the global age-area and depth-area distribution of ocean floor since the Early Cretaceous (140 Ma), in 1 million year increments. Paleo-bathymetry since 140 Ma was also computed in 1 million year increments. List of Resources Note: For details on the files included in this data collection, see “Description_of_Resources.txt”. Note: For information on file formats and what programs to use to interact with various file formats, see “File_Formats_and_Recommended_Programs.txt”. Raw XYZ data (.txt, total 30.04 GB) Gridded data (.nc, total 2.99 GB) Time-dependent images (.jpg, total 49 MB) Present-day maps (.jpg, .kmz, .tif, total 159.3 MB) Colour palette files (.cpt, total 16 KB) For more information on this data collection, and links to other datasets from the EarthByte Research Group please visit EarthByte For more information about using GPlates, including tutorials and a user manual please visit GPlates or EarthByte&rft.creator=Maria Seton&rft.creator=Dietmar Muller&rft.date=2015&rft.relation=http://www.sciencemag.org/content/319/5868/1357.short&rft.coverage=Global&rft_rights=CC BY: Attribution 3.0 AU http://creativecommons.org/licenses/by/3.0/au&rft_subject=Seafloor Ages&rft_subject=Plate Motion Model&rft_subject=G Plates &rft_subject=Generic Mapping Tools&rft_subject=Sea Level&rft_subject=Mantle Convection&rft_subject=Oceanic Crust&rft_subject=Seafloor&rft_subject=Bathymetry&rft_subject=Large Igneous Provinces&rft_subject=Oceanic Sedimentation&rft_subject=Mid-Ocean Ridges&rft_subject=Seafloor Isochrons&rft_subject=Oceanic Basement Depth&rft_subject=Cretaceous&rft_subject=Tectonics&rft_subject=Earth Sciences&rft_subject=Geology&rft_subject=Marine Geoscience&rft_subject=Expanding Knowledge in the Earth Sciences&rft_subject=Expanding Knowledge&rft_subject=Expanding Knowledge&rft_subject=Pure Basic Research&rft.type=dataset&rft.language=English Access the data

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CC BY: Attribution 3.0 AU
http://creativecommons.org/licenses/by/3.0/au

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Open Access

Full description

This data collection is associated with the publication: Müller, R. D., Sdrolias, M., Gaina, C., Steinberger, B., & Heine, C. (2008). Long-term sea-level fluctuations driven by ocean basin dynamics. Science, 319(5868), 1357-1362. doi: 10.1126/science.1151540

Publication Abstract

We establish the locations and geometry of mid ocean ridges through time on the basis of marine magnetic anomaly identifications, geological information such as paleomagnetic data from terranes and microcontinents, especially in the Tethys Ocean, mid-oceanic ridge subduction events and the rules of plate tectonics. Based on a global set of tectonic plate rotations we construct a set of refined seafloor isochrons following the interpolation technique outlined by Müller et al. (1997; 2008) but including a multitude of additional data. Using a published age-depth relationship (GDH-1), we compute the depth-area distribution of the ocean basins. We choose GDH-1 for converting age to depth because this relationship is based on sediment-corrected depths without excluding data from hotspot swells and seamounts. Therefore GDH-1 provides a good average fit to sediment unloaded oceanic basement depths and is preferable for predicting the average oceanic basement depth through time, including thermally rejuvenated lithosphere, as compared to models that reflect ocean depth changes related to plate ageing through time only. Three additional factors play a significant role in controlling global ocean basin depth through time, namely the generation of oceanic large igneous provinces (LIPS), oceanic sedimentation (2) and changes in oceanic crustal area. We create a set of paleo-bathymetry maps by adding major oceanic plateaus and sediment thickness to our reconstructed basement depth maps. These maps allow us to compute oceanic crustal area and mean depth through time.

Authors and Institutions

R. Dietmar Müller - EarthByte Research Group, School of Geosciences, The University of Sydney, Australia. ORCID: 0000-0002-3334-5764

Maria Sdrolias (now Maria Seton) - EarthByte Research Group, School of Geosciences, The University of Sydney, Australia. ORCID: 0000-0001-8541-1367

Carmen Gaina - Center for Geodynamics, Geological Survey of Norway, Norway

Bernhard Steinberger - Center for Geodynamics, Geological Survey of Norway, Norway

Christian Heine - EarthByte Research Group, School of Geosciences, The University of Sydney, Australia

Overview of Resources Contained

This data collection includes a reconstruction of the global age-area and depth-area distribution of ocean floor since the Early Cretaceous (140 Ma), in 1 million year increments. Paleo-bathymetry since 140 Ma was also computed in 1 million year increments.

List of Resources

Note: For details on the files included in this data collection, see “Description_of_Resources.txt”.

Note: For information on file formats and what programs to use to interact with various file formats, see “File_Formats_and_Recommended_Programs.txt”.

  • Raw XYZ data (.txt, total 30.04 GB)
  • Gridded data (.nc, total 2.99 GB)
  • Time-dependent images (.jpg, total 49 MB)
  • Present-day maps (.jpg, .kmz, .tif, total 159.3 MB)
  • Colour palette files (.cpt, total 16 KB)

For more information on this data collection, and links to other datasets from the EarthByte Research Group please visit EarthByte

For more information about using GPlates, including tutorials and a user manual please visit GPlates or EarthByte

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Spatial Coverage And Location

text: Global