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Radiocarbon ages, age-model code, and other supplemental data for Nelson et al. (2021), A maximum rupture model for the central and southern Cascadia subduction zone—assessing ages for coastal evidence of megathrust earthquakes and tsunamis

Metadata Updated: July 6, 2024

This data release contains supplemental data for the following paper: Nelson, A.R., DuRoss, C.B., Mahan, S.A., Gray, H.J., Engelhart, S.E., Witter, R.C., Hawkes, A.D., Horton, B.P., Kelsey, H.M., and Padgett, J.S., 2021, A maximum rupture model for the central and southern Cascadia subduction zone—assessing ages for coastal evidence of megathrust earthquakes and tsunamis: Quaternary Science Reviews 261, https://doi.org/10.1016/j.quascirev.2021.106922. The data include a compilation of new and previously published radiocarbon ages from the original cores from Bradley Lake of Kelsey et al. (2005; odt format), and tables of new and previously published radiocarbon data for 7 of the 13 tidal wetland sites along the coasts of Oregon and northern California, whose ages we compare with the ages from Bradley Lake (odt format). The data files (odt format) also include code for the OxCal (version 4.4; https://c14.arch.ox.ac.uk/oxcal.html) Bayesian software models used with selected radiocarbon ages to calculate age probability density functions for the lake’s earthquake or tsunami-caused disturbance events, and for the stratigraphic contacts produced by earthquakes and tsunamis at 12 of the 13 tidal wetland sites (odt format). An additional text file (odt format) explains the addition of variance to the errors on laboratory reported radiocarbon ages in the tables analyzed prior to 1998, and those analyzed by the National Ocean Sciences AMS Facility (NOSAMS) at the Woods Hole Oceanographic Institution, Woods Hole, Massachusetts. Data describing the results of our recent unsuccessful attempt to use optical dating methods (OSL and IRSL) on quartz grains from tsunami deposits in Bradley Lake to date the deposits can be found in Mahan et al. (2021; U.S. Geological Survey data release, https://doi.org/10.5066/P9YWIDOW).

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

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Dates

Metadata Created Date June 1, 2023
Metadata Updated Date July 6, 2024

Metadata Source

Harvested from DOI EDI

Additional Metadata

Resource Type Dataset
Metadata Created Date June 1, 2023
Metadata Updated Date July 6, 2024
Publisher U.S. Geological Survey
Maintainer
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Identifier USGS:5908a1b3e4b0fc4e448ffe23
Data Last Modified 20210505
Category geospatial
Public Access Level public
Bureau Code 010:12
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://datainventory.doi.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id c5f41acd-6bb6-45f1-b79c-626b391aef9b
Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
Harvest Source Title DOI EDI
Metadata Type geospatial
Old Spatial -125.09033202981,40.379695106059,-123.72802734237,46.133866848295
Publisher Hierarchy White House > U.S. Department of the Interior > U.S. Geological Survey
Source Datajson Identifier True
Source Hash 5e53256493e42de95ab817a6e85f2e18a07aa6412883c68c10e7cd689639687f
Source Schema Version 1.1
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