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Bayesian Analysis of Paleotsunami Sources: Data and Stochastic Simulations

<p>This repository contains the datasets utilized in the research titled &ldquo;Tracing the Sources of Paleotsunamis Using Bayesian Frameworks.&rdquo; Each dataset is integral to the analysis and reconstruction efforts undertaken in the study.</p> <p>&nbsp;</p> <p><strong>File Descriptions</strong></p> <p>&nbsp;</p> <p><strong>1. CorrectedShoreline_jogan_deposit_data.csv</strong></p> <p>&nbsp;</p> <p>This file contains paleotsunami data collected by Sugawara et al. The data has been corrected to account for the shoreline position at the time of the paleotsunami event.</p> <p>&nbsp;</p> <p><strong>Reference:</strong></p> <p>Sugawara, D., Goto, K., Imamura, F., Matsumoto, H., &amp; Minoura, K. (2012). Assessing the magnitude of the 869 Jogan tsunami using sedimentary deposits: Prediction and consequence of the 2011 Tohoku-oki tsunami. <em>Sedimentary Geology, 282</em>, 14&ndash;26.</p> <p>&nbsp;</p> <p><strong>2. Stochastic_samples.zip</strong></p> <p>&nbsp;</p> <p>This archive contains the stochastic samples generated for the Japan Trench, utilizing the coupling distribution model from Loveless et al.</p> <p>&nbsp;</p> <p><strong>Reference:</strong></p> <p>Loveless, J. P., &amp; Meade, B. J. (2011). Spatial correlation of interseismic coupling and coseismic rupture extent of the 2011 Mw = 9.0 Tohoku-oki earthquake. <em>Geophysical Research Letters, 38</em>.</p> <p>&nbsp;</p> <p><strong>3. Selected_Stochastic_Samples.zip</strong></p> <p>&nbsp;</p> <p>This file includes a reduced sample space derived from the original stochastic samples, specifically selected for statistical analysis.</p> <p>&nbsp;</p> <p><strong>4. Sendai_1961.zip</strong></p> <p>&nbsp;</p> <p>This dataset contains the reconstructed morphology of the Sendai plain as it appeared in 1961. The reconstruction is based on aerial photographs provided by the Geospatial Information Authority of Japan (GSI).</p>

ShareScore

36/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
20
Reuse readiness
8
Engagement
0