Supplementary files for Gernon et al. (2023) Rift-induced disruption of cratonic keels drives kimberlite volcanism

<p><strong>Supplementary files for Gernon et al. (2023) </strong> Rift-induced disruption of cratonic keels drives kimberlite volcanism</p> <p>This directory contains datasets, GIS files, Uninet model files and R scripts used to generate the figures in Gernon, T.M., Jones, S.M., Brune, S., Hincks, T.K., Palmer, M.R., Schumacher, J.C., Primiceri, R.M., Field, M., Griffin, W.L., O&rsquo;Reilly, S.Y., Keir, D., Spencer, C.J., Merdith, A. &amp; Glerum, A. Rift-induced disruption of cratonic keels drives kimberlite volcanism. Nature, doi: <a href="https://doi.org/10.1038/s41586-023-06193-3">https://doi.org/10.1038/s41586-023-06193-3</a> (2023).</p> <p><strong>Contents:</strong><br> <strong>GIS</strong><br> <em>COB_NAmerica.shp, COB_SAmerica.shp, COB_Africa.shp</em><br> Shapefiles for rifts in North America, South America and Africa with associated rift and breakup ages;<br> <em>Combined_database_Kimberlites_Tappe_Brazil.shp&nbsp;</em> Kimberlite locations (lon/lat) with ages</p> <p><br> <strong>input data files</strong><br> <em>1_Ga_area_perimeter_1000_0_1myr.csv</em><br> Plate area and perimiter estimates used to generate Fragmentation index, see<br> Merdith A.S. et al., 2021, <a href="https://doi.org/10.1016/j.earscirev.2020.103477">https://doi.org/10.1016/j.earscirev.2020.103477</a><br> and Merdith A.S. et al., 2017 <a href="https://doi.org/10.1016/j.gr.2017.04.001">https://doi.org/10.1016/j.gr.2017.04.001</a></p> <p><em>GoodwinPreservationCurve.csv</em><br> Surface preservation estimate (as a function of time) from Goodwin, A.M. 1996<br> <a href="https://doi.org/10.1016/B978-0-12-289770-2.X5000-6">https://doi.org/10.1016/B978-0-12-289770-2.X5000-6</a></p> <p><em>Kimberlites_ages.csv</em><br> Kimberlite database from Tappe et al. 2018, <a href="https://doi.org/10.1016/j.epsl.2017.12.013">https://doi.org/10.1016/j.epsl.2017.12.013</a></p> <p><em>LIP_input.csv</em><br> Ages and extent of Large Igneous Provinces from Ernst, 2014, <a href="https://doi.org/10.1017/CBO9781139025300">https://doi.org/10.1017/CBO9781139025300</a></p> <p><br> <em><strong>output data files</strong></em><br> <em>UNINET_KimberliteCount_LIPstart_dFrag_5MyrRes.csv and UNINET_Past500Myr_KimberliteCount_LIPstart_dFrag_5MyrRes.csv</em><br> 5 Myr aggregated time series for Uninet lag analysis</p> <p><em>Symmetric_dFrag9Myr_alldataNA.csv</em><br> Time series (1 Myr resolution) for:<br> &nbsp;&nbsp; &nbsp;Fragmentation (Frag);<br> &nbsp;&nbsp; &nbsp;Rate of change of fragmentation (dFrag_9Myr), calculated over a moving interval t+/-4 Myr as a measure of breakup;<br> &nbsp;&nbsp; &nbsp;Kimberlite count (Kimberlites);<br> &nbsp;&nbsp; &nbsp;Kimberlite count corrected for preservation (see GoodwinPreservationCurve.csv above) (CorrKimberlites);<br> &nbsp;&nbsp; &nbsp;Initiation of Large Igneous Provinces (LIPstart)</p> <p><em>CLUSTER_sample_rates_Fig1e_ExFig4a.zip (large csv file)</em><br> Output from <em>Migration_rate_estimates_with_uncertainty_MINLAG_and_MINDIST.r </em>containing simulated estimates of migration rate, accounting for time, distance and model (rift association uncertainty) for Kimberlite clusters in N America, S America and Africa. This ouptut was used to generate Fig 1e and Extended Data Fig 4a in Gernon et al (2023)</p> <p><br> <strong>Uninet files</strong><br> <strong><em>UNINET_500Myr_5MryRes_dFrag9Myr_Kim</em></strong><br> <em>Emp_correl.txt, BN_correl.txt and Cond_correl.txt :</em> Emprical, BN and Conditional rank correlations for Kimberlites and lagged dFrag (rate of change of fragmentation) using a 5 Myr resolution time series for the past 500 Myr.<br> <em>CORRELATIONS_500Myr_5MryRes_dFrag9Myr_Kim.pdf </em>and <em>COND_CORR_500Myr_5MryRes_dFrag9Myr_Kim.pdf </em>plots showing correlation v.s. lag<br> <em>TEST_500Myr_5MryRes_dFrag9Myr_Kim.uninet</em> Uninet model file used to estimate correlations</p> <p><strong><em>UNINET_1000Myr_5MryRes_LIPstartSum5Myr_dFrag9Myr</em></strong><br> <em>Emp_correl.txt, BN_correl.txt and Cond_correl.txt</em> : Emprical, BN and Conditional rank correlations for dFrag (rate of change of fragmentation) and lagged values of LIPstart (initiation of Large Igneous Provinces) using a 5 Myr resolution time series for the past 1000 Myr.<br> <em>COND_CORR_1000Myr_5MryRes_LIPstartSum5Myr_dFrag9Myr.pdf</em> plot showing conditional correlation vs. lag<br> <em>TEST_1000Myr_5MryRes_LIPstartSum5Myr_dFrag9Myr.uninet</em> Uninet model file used to estimate correlations</p> <p><br> <strong>Generate_Fig1b_ExtFig2_ExtFig6</strong><br> <em>R_fig1b_extended_fig2bcd.r</em><br> R script to generate Fig 1b and Extended Data Figs 2 and 6 for Gernon et al. (2023)<br> [ also includes generated figures and output data files ]</p> <p><br> <strong>Generate_migration_rate_estimates</strong><br> <em>Migration_rate_estimates_with_uncertainty_MINLAG_and_MINDIST.r</em><br> R script to generate Fig 1e, and Extended Data Figs 4 and 5 for Gernon et al. (2023)<br> [ also includes generated figures and output data files ]<br> Note: <em>UNINET_KimberliteCount_LIPstart_dFrag_5MyrRes.csv</em> and <em>UNINET_Past500Myr_KimberliteCount_LIPstart_dFrag_5MyrRes.csv</em> are inputs to the Uninet models described above.</p>