DataSheet1_A Bayesian Approach to Inferring Depositional Ages Applied to a Late Tonian Reference Section in Svalbard.pdf
Increasing application of high precision uranium-lead (U-Pb) and rhenium-osmium (Re-Os) geochronology to the ancient geological record has resulted in massive improvement in age control and calibration of key Proterozoic stratigraphic successions and events. Nevertheless, some successions and time i...
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ftfrontimediafig:oai:figshare.com:article/19217763 2023-05-15T18:29:46+02:00 DataSheet1_A Bayesian Approach to Inferring Depositional Ages Applied to a Late Tonian Reference Section in Svalbard.pdf Galen P. Halverson Chen Shen Joshua H. F. L. Davies Lei Wu 2022-02-23T04:11:38Z https://doi.org/10.3389/feart.2022.798739.s001 https://figshare.com/articles/dataset/DataSheet1_A_Bayesian_Approach_to_Inferring_Depositional_Ages_Applied_to_a_Late_Tonian_Reference_Section_in_Svalbard_pdf/19217763 unknown doi:10.3389/feart.2022.798739.s001 https://figshare.com/articles/dataset/DataSheet1_A_Bayesian_Approach_to_Inferring_Depositional_Ages_Applied_to_a_Late_Tonian_Reference_Section_in_Svalbard_pdf/19217763 CC BY 4.0 CC-BY Solid Earth Sciences Climate Science Atmospheric Sciences not elsewhere classified Exploration Geochemistry Inorganic Geochemistry Isotope Geochemistry Organic Geochemistry Geochemistry not elsewhere classified Igneous and Metamorphic Petrology Ore Deposit Petrology Palaeontology (incl. Palynology) Structural Geology Tectonics Volcanology Geology not elsewhere classified Seismology and Seismic Exploration Glaciology Hydrogeology Natural Hazards Quaternary Environments Earth Sciences not elsewhere classified Evolutionary Impacts of Climate Change Neoproterozoic geochronology Bayesian statistics chemostratigraphy age-depth modelling Dataset 2022 ftfrontimediafig https://doi.org/10.3389/feart.2022.798739.s001 2022-02-24T00:03:35Z Increasing application of high precision uranium-lead (U-Pb) and rhenium-osmium (Re-Os) geochronology to the ancient geological record has resulted in massive improvement in age control and calibration of key Proterozoic stratigraphic successions and events. Nevertheless, some successions and time intervals remain poorly dated. Insufficient age constraints are particularly problematic for successions that are otherwise rich in geochemical, fossil, or other data with high potential to illuminate our understanding of Proterozoic Earth history. The latter Tonian succession in northeastern Svalbard is one such example. The ca. 820–740 Ma Akademikerbreen and lowermost Polarisbreen groups contain important microfossils and well-established carbon- and strontium-isotopic records, but they remain poorly dated. Here we use radioisotopic dates correlated from other Tonian successions across the globe using carbon isotope chemostratigraphy to calibrate a Tonian composite section in Svalbard by integrating Bayesian inference with a simple 1D thermal subsidence model. This approach allows us to assign realistic ages and uncertainties to all stratigraphic heights in a Akademikerbreen-lower Polarisbreen composite reference section. For example, the Bayesian age-height model yields ages for the onset and end of the Bitter Springs negative carbon isotope anomaly of 808.7 +3.3/−3.5 Ma and 801.9 +3.2/−3.3 Ma, respectively, and a total duration of 6.9 ± 0.2 Ma. These age and duration estimates can be applied to calibrate other Tonian successions that capture the Bitter Springs anomaly assuming that this anomaly is globally correlative. Dataset Svalbard Frontiers: Figshare Svalbard Akademikerbreen ENVELOPE(18.391,18.391,78.718,78.718) |
institution |
Open Polar |
collection |
Frontiers: Figshare |
op_collection_id |
ftfrontimediafig |
language |
unknown |
topic |
Solid Earth Sciences Climate Science Atmospheric Sciences not elsewhere classified Exploration Geochemistry Inorganic Geochemistry Isotope Geochemistry Organic Geochemistry Geochemistry not elsewhere classified Igneous and Metamorphic Petrology Ore Deposit Petrology Palaeontology (incl. Palynology) Structural Geology Tectonics Volcanology Geology not elsewhere classified Seismology and Seismic Exploration Glaciology Hydrogeology Natural Hazards Quaternary Environments Earth Sciences not elsewhere classified Evolutionary Impacts of Climate Change Neoproterozoic geochronology Bayesian statistics chemostratigraphy age-depth modelling |
spellingShingle |
Solid Earth Sciences Climate Science Atmospheric Sciences not elsewhere classified Exploration Geochemistry Inorganic Geochemistry Isotope Geochemistry Organic Geochemistry Geochemistry not elsewhere classified Igneous and Metamorphic Petrology Ore Deposit Petrology Palaeontology (incl. Palynology) Structural Geology Tectonics Volcanology Geology not elsewhere classified Seismology and Seismic Exploration Glaciology Hydrogeology Natural Hazards Quaternary Environments Earth Sciences not elsewhere classified Evolutionary Impacts of Climate Change Neoproterozoic geochronology Bayesian statistics chemostratigraphy age-depth modelling Galen P. Halverson Chen Shen Joshua H. F. L. Davies Lei Wu DataSheet1_A Bayesian Approach to Inferring Depositional Ages Applied to a Late Tonian Reference Section in Svalbard.pdf |
topic_facet |
Solid Earth Sciences Climate Science Atmospheric Sciences not elsewhere classified Exploration Geochemistry Inorganic Geochemistry Isotope Geochemistry Organic Geochemistry Geochemistry not elsewhere classified Igneous and Metamorphic Petrology Ore Deposit Petrology Palaeontology (incl. Palynology) Structural Geology Tectonics Volcanology Geology not elsewhere classified Seismology and Seismic Exploration Glaciology Hydrogeology Natural Hazards Quaternary Environments Earth Sciences not elsewhere classified Evolutionary Impacts of Climate Change Neoproterozoic geochronology Bayesian statistics chemostratigraphy age-depth modelling |
description |
Increasing application of high precision uranium-lead (U-Pb) and rhenium-osmium (Re-Os) geochronology to the ancient geological record has resulted in massive improvement in age control and calibration of key Proterozoic stratigraphic successions and events. Nevertheless, some successions and time intervals remain poorly dated. Insufficient age constraints are particularly problematic for successions that are otherwise rich in geochemical, fossil, or other data with high potential to illuminate our understanding of Proterozoic Earth history. The latter Tonian succession in northeastern Svalbard is one such example. The ca. 820–740 Ma Akademikerbreen and lowermost Polarisbreen groups contain important microfossils and well-established carbon- and strontium-isotopic records, but they remain poorly dated. Here we use radioisotopic dates correlated from other Tonian successions across the globe using carbon isotope chemostratigraphy to calibrate a Tonian composite section in Svalbard by integrating Bayesian inference with a simple 1D thermal subsidence model. This approach allows us to assign realistic ages and uncertainties to all stratigraphic heights in a Akademikerbreen-lower Polarisbreen composite reference section. For example, the Bayesian age-height model yields ages for the onset and end of the Bitter Springs negative carbon isotope anomaly of 808.7 +3.3/−3.5 Ma and 801.9 +3.2/−3.3 Ma, respectively, and a total duration of 6.9 ± 0.2 Ma. These age and duration estimates can be applied to calibrate other Tonian successions that capture the Bitter Springs anomaly assuming that this anomaly is globally correlative. |
format |
Dataset |
author |
Galen P. Halverson Chen Shen Joshua H. F. L. Davies Lei Wu |
author_facet |
Galen P. Halverson Chen Shen Joshua H. F. L. Davies Lei Wu |
author_sort |
Galen P. Halverson |
title |
DataSheet1_A Bayesian Approach to Inferring Depositional Ages Applied to a Late Tonian Reference Section in Svalbard.pdf |
title_short |
DataSheet1_A Bayesian Approach to Inferring Depositional Ages Applied to a Late Tonian Reference Section in Svalbard.pdf |
title_full |
DataSheet1_A Bayesian Approach to Inferring Depositional Ages Applied to a Late Tonian Reference Section in Svalbard.pdf |
title_fullStr |
DataSheet1_A Bayesian Approach to Inferring Depositional Ages Applied to a Late Tonian Reference Section in Svalbard.pdf |
title_full_unstemmed |
DataSheet1_A Bayesian Approach to Inferring Depositional Ages Applied to a Late Tonian Reference Section in Svalbard.pdf |
title_sort |
datasheet1_a bayesian approach to inferring depositional ages applied to a late tonian reference section in svalbard.pdf |
publishDate |
2022 |
url |
https://doi.org/10.3389/feart.2022.798739.s001 https://figshare.com/articles/dataset/DataSheet1_A_Bayesian_Approach_to_Inferring_Depositional_Ages_Applied_to_a_Late_Tonian_Reference_Section_in_Svalbard_pdf/19217763 |
long_lat |
ENVELOPE(18.391,18.391,78.718,78.718) |
geographic |
Svalbard Akademikerbreen |
geographic_facet |
Svalbard Akademikerbreen |
genre |
Svalbard |
genre_facet |
Svalbard |
op_relation |
doi:10.3389/feart.2022.798739.s001 https://figshare.com/articles/dataset/DataSheet1_A_Bayesian_Approach_to_Inferring_Depositional_Ages_Applied_to_a_Late_Tonian_Reference_Section_in_Svalbard_pdf/19217763 |
op_rights |
CC BY 4.0 |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.3389/feart.2022.798739.s001 |
_version_ |
1766213142335979520 |