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ZENODO
Audiovisual . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Audiovisual . 2024
License: CC BY
Data sources: Datacite
ZENODO
Audiovisual . 2024
License: CC BY
Data sources: Datacite
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Stratigraphy in space and time: Animated visualizations of physical stratigraphy

Authors: Sylvester, Zoltán; Straub, Kyle; Covault, Jacob;

Stratigraphy in space and time: Animated visualizations of physical stratigraphy

Abstract

These visualizations were created with the Python module 'stratigraph', using a variety of stratigraphic datasets. They accompany the paper "Stratigraphy in space and time: A reproducible approach to analysis and visualization", by Zoltán Sylvester, Kyle M. Straub, and Jacob A. Covault, to be published in the journal 'Earth Science Reviews'. A brief description of the files follows. 'SM_1_Barrell_plot_original.mp4': Animation of Barrell's (1917) synthetic time-elevation curve (Barrell, J., 1917, Rhythms and the measurements of geologic time: Geological Society of America Bulletin, v. 28, p. 745–904, doi:10.1130/GSAB-28-745). 'SM_2_Wheeler_original_diagram.mp4': Animation of the geologic cross section and corresponding chronostratigraphic diagram published by Wheeler (1964) - see Wheeler, H.E. (1964). Baselevel, lithosphere surface, and time stratigraphy. Geological Society of America Bulletin, v. 75, p. 599–610. 'SM_3_meanderpy_model_plane_widget.mp4': Slicing through a three-dimensional chronostratigraphic diagram of a meandering river model; red colors represent erosion, blue colors deposition. The meandering river model was generated using 'meanderpy'. 'SM_4_erosional_surfaces_meandering_river.mp4': Erosional surfaces generated by a meandering river, colored by age (purple = older, yellow = younger). The meandering river model was generated using 'meanderpy' and it is the same model as the one above. 'SM_5_XES02_3D_cut_sides_1.mp4': Visualization of the XES-02 experiment through time. The experiment was conducted at St. Anthony Falls Laboratory, University of Minnesota. Layers are colored by water depth (not grain size). See the following reference for more details on this experiment: Martin, J., Paola, C., Abreu, V., Neal, J., and Sheets, B., 2009, Sequence stratigraphy of experimental strata under known conditions of differential subsidence and variable base level: AAPG Bulletin, v. 93, p. 503–533. 'SM_6_XES_02_dip_and_strike_sections.mp4': Dip- and strike sections of deposits of the XES-02 experiment through time. Layers are colored by water depth. Chronostratigraphic diagrams are shown in the bottom panels. 'SM_7_TDWB_17_Barrell_plots.mp4': Proximal- to distal time-elevation plots, generated from the TDWB-17-1 experiment, conducted at the Tulane University Sediment Dynamics and Stratigraphy Laboratory. See the following paper for more details on the experiment: Straub, K.M., 2019, Morphodynamics and Stratigraphic Architecture of Shelf-Edge Deltas Subject to Constant vs. Dynamic Environmental Forcings: A Laboratory Study: Frontiers in Earth Science, v. 7, p. 121, doi:10.3389/feart.2019.00121. 'SM_8_TDWB_17_strike_sections_through_time.mp4': Strike sections through time, generated from the TDWB-17-1 experiment, conducted at the Tulane University Sediment Dynamics and Stratigraphy Laboratory. Layers are colored by water depth. 'SM_9_TDWB_17_exploding_view.mp4': Taking apart and putting back together the deposits of the TDWB-17-1 experiment, conducted at the Tulane University Sediment Dynamics and Stratigraphy Laboratory, along strike- and dip sections. Layers are colored by water depth.

Related Organizations
Keywords

sequence stratigraphy, meandering, stratigraphy, deltas, geomorphology

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
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