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willirath/Witkowski_et_al_2018_first_steps_supplementary_data.ipynb

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First Steps to full supplementary data inspection for Witkowski et al. (2018)
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Witkowski_et_al_2018_first_steps_supplementary_data.ipynb
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Requirement already satisfied: pandas in /srv/conda/envs/notebook/lib/python3.7/site-packages (0.24.2)\n",
"Requirement already satisfied: matplotlib in /srv/conda/envs/notebook/lib/python3.7/site-packages (3.0.3)\n",
"Requirement already satisfied: seaborn in /srv/conda/envs/notebook/lib/python3.7/site-packages (0.9.0)\n",
"Requirement already satisfied: xlrd in /srv/conda/envs/notebook/lib/python3.7/site-packages (1.2.0)\n",
"Requirement already satisfied: python-dateutil>=2.5.0 in /srv/conda/envs/notebook/lib/python3.7/site-packages (from pandas) (2.8.0)\n",
"Requirement already satisfied: pytz>=2011k in /srv/conda/envs/notebook/lib/python3.7/site-packages (from pandas) (2019.1)\n",
"Requirement already satisfied: numpy>=1.12.0 in /srv/conda/envs/notebook/lib/python3.7/site-packages (from pandas) (1.16.3)\n",
"Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in /srv/conda/envs/notebook/lib/python3.7/site-packages (from matplotlib) (2.4.0)\n",
"Requirement already satisfied: cycler>=0.10 in /srv/conda/envs/notebook/lib/python3.7/site-packages (from matplotlib) (0.10.0)\n",
"Requirement already satisfied: kiwisolver>=1.0.1 in /srv/conda/envs/notebook/lib/python3.7/site-packages (from matplotlib) (1.1.0)\n",
"Requirement already satisfied: scipy>=0.14.0 in /srv/conda/envs/notebook/lib/python3.7/site-packages (from seaborn) (1.2.1)\n",
"Requirement already satisfied: six>=1.5 in /srv/conda/envs/notebook/lib/python3.7/site-packages (from python-dateutil>=2.5.0->pandas) (1.12.0)\n",
"Requirement already satisfied: setuptools in /srv/conda/envs/notebook/lib/python3.7/site-packages (from kiwisolver>=1.0.1->matplotlib) (41.0.1)\n",
"Note: you may need to restart the kernel to use updated packages.\n"
]
}
],
"source": [
"%pip install pandas matplotlib seaborn xlrd"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"%matplotlib inline"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"from matplotlib import pyplot as plt\n",
"import seaborn as sns"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"sns.set_style(\"darkgrid\")\n",
"sns.set_context(\"notebook\")"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"scrolled": true
},
"outputs": [
{
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" <td>267.346114</td>\n",
" <td>344.642396</td>\n",
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" <td>265.918392</td>\n",
" <td>349.271361</td>\n",
" <td>382.468283</td>\n",
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" <th>6.0039</th>\n",
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" <td>361.043266</td>\n",
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" <td>407.344049</td>\n",
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" <td>408.818597</td>\n",
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" <td>218.656809</td>\n",
" <td>253.189523</td>\n",
" <td>359.472228</td>\n",
" <td>403.923093</td>\n",
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" <td>218.920189</td>\n",
" <td>254.922602</td>\n",
" <td>359.247244</td>\n",
" <td>402.911132</td>\n",
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" <tr>\n",
" <th>13.0039</th>\n",
" <td>302.029309</td>\n",
" <td>220.251886</td>\n",
" <td>259.378528</td>\n",
" <td>358.249345</td>\n",
" <td>407.515172</td>\n",
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" <th>13.5039</th>\n",
" <td>302.880614</td>\n",
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" <td>359.120984</td>\n",
" <td>410.739865</td>\n",
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" <tr>\n",
" <th>14.0039</th>\n",
" <td>306.531260</td>\n",
" <td>229.682770</td>\n",
" <td>265.133551</td>\n",
" <td>357.056279</td>\n",
" <td>407.541685</td>\n",
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" <th>14.5039</th>\n",
" <td>306.583039</td>\n",
" <td>234.080200</td>\n",
" <td>269.040749</td>\n",
" <td>355.881043</td>\n",
" <td>409.535751</td>\n",
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" <tr>\n",
" <th>405.0039</th>\n",
" <td>1689.108683</td>\n",
" <td>591.694967</td>\n",
" <td>1153.559397</td>\n",
" <td>2597.868550</td>\n",
" <td>3154.754393</td>\n",
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" <tr>\n",
" <th>405.5039</th>\n",
" <td>1726.083687</td>\n",
" <td>659.511579</td>\n",
" <td>1204.984598</td>\n",
" <td>2603.163927</td>\n",
" <td>3158.907521</td>\n",
" </tr>\n",
" <tr>\n",
" <th>406.0039</th>\n",
" <td>1793.018517</td>\n",
" <td>698.697432</td>\n",
" <td>1251.824934</td>\n",
" <td>2628.394182</td>\n",
" <td>3206.516545</td>\n",
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" <tr>\n",
" <th>406.5039</th>\n",
" <td>1985.843847</td>\n",
" <td>772.743299</td>\n",
" <td>1269.971893</td>\n",
" <td>2652.595476</td>\n",
" <td>3217.094527</td>\n",
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" <tr>\n",
" <th>407.0039</th>\n",
" <td>2017.426659</td>\n",
" <td>830.608718</td>\n",
" <td>1282.321379</td>\n",
" <td>2648.731138</td>\n",
" <td>3155.232444</td>\n",
" </tr>\n",
" <tr>\n",
" <th>407.5039</th>\n",
" <td>2021.182779</td>\n",
" <td>874.819023</td>\n",
" <td>1333.582713</td>\n",
" <td>2632.150832</td>\n",
" <td>3116.775226</td>\n",
" </tr>\n",
" <tr>\n",
" <th>408.0039</th>\n",
" <td>2034.538831</td>\n",
" <td>910.340493</td>\n",
" <td>1402.736054</td>\n",
" <td>2606.978972</td>\n",
" <td>3062.641848</td>\n",
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" <tr>\n",
" <th>408.5039</th>\n",
" <td>1957.229765</td>\n",
" <td>937.049367</td>\n",
" <td>1423.011344</td>\n",
" <td>2607.238685</td>\n",
" <td>3034.983188</td>\n",
" </tr>\n",
" <tr>\n",
" <th>409.0039</th>\n",
" <td>2159.738065</td>\n",
" <td>949.535592</td>\n",
" <td>1435.328058</td>\n",
" <td>2635.074726</td>\n",
" <td>3026.936441</td>\n",
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" <tr>\n",
" <th>409.5039</th>\n",
" <td>2165.271086</td>\n",
" <td>906.058061</td>\n",
" <td>1434.324167</td>\n",
" <td>2658.951346</td>\n",
" <td>3111.177370</td>\n",
" </tr>\n",
" <tr>\n",
" <th>410.0039</th>\n",
" <td>2102.113255</td>\n",
" <td>904.116724</td>\n",
" <td>1422.099966</td>\n",
" <td>2679.174726</td>\n",
" <td>3202.528150</td>\n",
" </tr>\n",
" <tr>\n",
" <th>410.5039</th>\n",
" <td>2059.985083</td>\n",
" <td>869.687487</td>\n",
" <td>1405.223168</td>\n",
" <td>2679.034223</td>\n",
" <td>3266.018348</td>\n",
" </tr>\n",
" <tr>\n",
" <th>411.0039</th>\n",
" <td>2048.239917</td>\n",
" <td>866.128184</td>\n",
" <td>1395.615435</td>\n",
" <td>2683.782892</td>\n",
" <td>3321.018178</td>\n",
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" <tr>\n",
" <th>411.5039</th>\n",
" <td>2039.911436</td>\n",
" <td>799.973996</td>\n",
" <td>1382.354489</td>\n",
" <td>2680.135717</td>\n",
" <td>3373.908218</td>\n",
" </tr>\n",
" <tr>\n",
" <th>412.0039</th>\n",
" <td>2055.677391</td>\n",
" <td>736.694702</td>\n",
" <td>1347.431345</td>\n",
" <td>2714.403713</td>\n",
" <td>3390.198035</td>\n",
" </tr>\n",
" <tr>\n",
" <th>412.5039</th>\n",
" <td>2061.562942</td>\n",
" <td>714.453617</td>\n",
" <td>1290.048177</td>\n",
" <td>2741.357662</td>\n",
" <td>3410.978180</td>\n",
" </tr>\n",
" <tr>\n",
" <th>413.0039</th>\n",
" <td>2011.833213</td>\n",
" <td>675.105617</td>\n",
" <td>1261.376862</td>\n",
" <td>2753.480266</td>\n",
" <td>3453.640353</td>\n",
" </tr>\n",
" <tr>\n",
" <th>413.5039</th>\n",
" <td>1925.582068</td>\n",
" <td>644.386758</td>\n",
" <td>1233.149347</td>\n",
" <td>2739.660832</td>\n",
" <td>3399.225052</td>\n",
" </tr>\n",
" <tr>\n",
" <th>414.0039</th>\n",
" <td>1739.568602</td>\n",
" <td>578.554670</td>\n",
" <td>1195.575377</td>\n",
" <td>2729.597818</td>\n",
" <td>3405.420348</td>\n",
" </tr>\n",
" <tr>\n",
" <th>414.5039</th>\n",
" <td>1649.217413</td>\n",
" <td>467.790918</td>\n",
" <td>1147.050174</td>\n",
" <td>2703.658086</td>\n",
" <td>3377.683960</td>\n",
" </tr>\n",
" <tr>\n",
" <th>415.0039</th>\n",
" <td>1579.210595</td>\n",
" <td>382.818788</td>\n",
" <td>1093.857503</td>\n",
" <td>2692.127942</td>\n",
" <td>3367.118075</td>\n",
" </tr>\n",
" <tr>\n",
" <th>415.5039</th>\n",
" <td>1528.611914</td>\n",
" <td>341.351625</td>\n",
" <td>1048.647531</td>\n",
" <td>2680.324084</td>\n",
" <td>3347.730965</td>\n",
" </tr>\n",
" <tr>\n",
" <th>416.0039</th>\n",
" <td>1547.205069</td>\n",
" <td>266.781377</td>\n",
" <td>1007.681322</td>\n",
" <td>2655.226719</td>\n",
" <td>3380.538526</td>\n",
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" <tr>\n",
" <th>416.5039</th>\n",
" <td>1568.448319</td>\n",
" <td>198.072463</td>\n",
" <td>941.832255</td>\n",
" <td>2634.474909</td>\n",
" <td>3426.733975</td>\n",
" </tr>\n",
" <tr>\n",
" <th>417.0039</th>\n",
" <td>1504.446359</td>\n",
" <td>92.749617</td>\n",
" <td>874.313800</td>\n",
" <td>2606.644365</td>\n",
" <td>3458.209761</td>\n",
" </tr>\n",
" <tr>\n",
" <th>417.5039</th>\n",
" <td>1435.264010</td>\n",
" <td>32.831902</td>\n",
" <td>806.254550</td>\n",
" <td>2583.531677</td>\n",
" <td>3451.467198</td>\n",
" </tr>\n",
" <tr>\n",
" <th>418.0039</th>\n",
" <td>1387.930468</td>\n",
" <td>-121.530061</td>\n",
" <td>708.830861</td>\n",
" <td>2565.370890</td>\n",
" <td>3473.851140</td>\n",
" </tr>\n",
" <tr>\n",
" <th>418.5039</th>\n",
" <td>1354.843333</td>\n",
" <td>-267.525487</td>\n",
" <td>578.673402</td>\n",
" <td>2554.528740</td>\n",
" <td>3535.613465</td>\n",
" </tr>\n",
" <tr>\n",
" <th>419.0039</th>\n",
" <td>1414.004824</td>\n",
" <td>-452.601297</td>\n",
" <td>471.521144</td>\n",
" <td>2587.447760</td>\n",
" <td>3588.862520</td>\n",
" </tr>\n",
" <tr>\n",
" <th>419.5039</th>\n",
" <td>1443.914650</td>\n",
" <td>-628.604652</td>\n",
" <td>351.713440</td>\n",
" <td>2576.420874</td>\n",
" <td>3636.690687</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>840 rows × 5 columns</p>\n",
"</div>"
],
"text/plain": [
" pCO2 probability maximum lw95% lw68% up68% \\\n",
"Age (Ma) \n",
"0.0039 276.007628 175.569429 230.661332 306.387739 \n",
"0.5039 275.733739 196.684065 239.858280 311.395069 \n",
"1.0039 287.210267 209.773171 250.861578 311.938551 \n",
"1.5039 290.034080 221.125463 259.695021 312.226500 \n",
"2.0039 295.986206 230.995105 265.293304 314.389624 \n",
"2.5039 298.016232 238.671278 267.888381 317.585949 \n",
"3.0039 299.346575 243.225587 269.252246 322.587772 \n",
"3.5039 302.992387 242.174698 269.925597 329.046369 \n",
"4.0039 298.328093 240.523322 269.398580 334.415344 \n",
"4.5039 300.004924 238.235623 268.388774 339.285664 \n",
"5.0039 302.578037 236.173372 267.346114 344.642396 \n",
"5.5039 316.981224 234.959512 265.918392 349.271361 \n",
"6.0039 319.110760 230.513557 264.791208 352.159914 \n",
"6.5039 320.216051 229.417491 264.482458 356.243951 \n",
"7.0039 321.299705 229.850622 262.778559 358.053634 \n",
"7.5039 323.480406 225.389022 259.133033 360.203932 \n",
"8.0039 307.936476 222.625188 256.581921 361.043266 \n",
"8.5039 307.342567 218.282050 252.869230 360.704305 \n",
"9.0039 305.747664 213.854861 250.515377 360.319962 \n",
"9.5039 303.876673 211.485828 247.605208 359.371898 \n",
"10.0039 301.659528 210.357631 246.868224 359.980003 \n",
"10.5039 299.402567 210.072671 247.503834 359.554319 \n",
"11.0039 302.283581 213.119759 248.116904 358.638371 \n",
"11.5039 304.167919 216.762706 250.176150 357.744550 \n",
"12.0039 302.620154 218.656809 253.189523 359.472228 \n",
"12.5039 301.755937 218.920189 254.922602 359.247244 \n",
"13.0039 302.029309 220.251886 259.378528 358.249345 \n",
"13.5039 302.880614 224.084883 262.020439 359.120984 \n",
"14.0039 306.531260 229.682770 265.133551 357.056279 \n",
"14.5039 306.583039 234.080200 269.040749 355.881043 \n",
"... ... ... ... ... \n",
"405.0039 1689.108683 591.694967 1153.559397 2597.868550 \n",
"405.5039 1726.083687 659.511579 1204.984598 2603.163927 \n",
"406.0039 1793.018517 698.697432 1251.824934 2628.394182 \n",
"406.5039 1985.843847 772.743299 1269.971893 2652.595476 \n",
"407.0039 2017.426659 830.608718 1282.321379 2648.731138 \n",
"407.5039 2021.182779 874.819023 1333.582713 2632.150832 \n",
"408.0039 2034.538831 910.340493 1402.736054 2606.978972 \n",
"408.5039 1957.229765 937.049367 1423.011344 2607.238685 \n",
"409.0039 2159.738065 949.535592 1435.328058 2635.074726 \n",
"409.5039 2165.271086 906.058061 1434.324167 2658.951346 \n",
"410.0039 2102.113255 904.116724 1422.099966 2679.174726 \n",
"410.5039 2059.985083 869.687487 1405.223168 2679.034223 \n",
"411.0039 2048.239917 866.128184 1395.615435 2683.782892 \n",
"411.5039 2039.911436 799.973996 1382.354489 2680.135717 \n",
"412.0039 2055.677391 736.694702 1347.431345 2714.403713 \n",
"412.5039 2061.562942 714.453617 1290.048177 2741.357662 \n",
"413.0039 2011.833213 675.105617 1261.376862 2753.480266 \n",
"413.5039 1925.582068 644.386758 1233.149347 2739.660832 \n",
"414.0039 1739.568602 578.554670 1195.575377 2729.597818 \n",
"414.5039 1649.217413 467.790918 1147.050174 2703.658086 \n",
"415.0039 1579.210595 382.818788 1093.857503 2692.127942 \n",
"415.5039 1528.611914 341.351625 1048.647531 2680.324084 \n",
"416.0039 1547.205069 266.781377 1007.681322 2655.226719 \n",
"416.5039 1568.448319 198.072463 941.832255 2634.474909 \n",
"417.0039 1504.446359 92.749617 874.313800 2606.644365 \n",
"417.5039 1435.264010 32.831902 806.254550 2583.531677 \n",
"418.0039 1387.930468 -121.530061 708.830861 2565.370890 \n",
"418.5039 1354.843333 -267.525487 578.673402 2554.528740 \n",
"419.0039 1414.004824 -452.601297 471.521144 2587.447760 \n",
"419.5039 1443.914650 -628.604652 351.713440 2576.420874 \n",
"\n",
" up95% \n",
"Age (Ma) \n",
"0.0039 342.745576 \n",
"0.5039 346.501630 \n",
"1.0039 339.551411 \n",
"1.5039 334.890463 \n",
"2.0039 336.491497 \n",
"2.5039 341.082554 \n",
"3.0039 343.982108 \n",
"3.5039 351.099040 \n",
"4.0039 359.480220 \n",
"4.5039 366.868171 \n",
"5.0039 374.114045 \n",
"5.5039 382.468283 \n",
"6.0039 389.220539 \n",
"6.5039 392.786215 \n",
"7.0039 398.451992 \n",
"7.5039 402.457570 \n",
"8.0039 403.730306 \n",
"8.5039 407.344049 \n",
"9.0039 408.866118 \n",
"9.5039 409.150926 \n",
"10.0039 408.267541 \n",
"10.5039 408.818597 \n",
"11.0039 406.044531 \n",
"11.5039 405.960817 \n",
"12.0039 403.923093 \n",
"12.5039 402.911132 \n",
"13.0039 407.515172 \n",
"13.5039 410.739865 \n",
"14.0039 407.541685 \n",
"14.5039 409.535751 \n",
"... ... \n",
"405.0039 3154.754393 \n",
"405.5039 3158.907521 \n",
"406.0039 3206.516545 \n",
"406.5039 3217.094527 \n",
"407.0039 3155.232444 \n",
"407.5039 3116.775226 \n",
"408.0039 3062.641848 \n",
"408.5039 3034.983188 \n",
"409.0039 3026.936441 \n",
"409.5039 3111.177370 \n",
"410.0039 3202.528150 \n",
"410.5039 3266.018348 \n",
"411.0039 3321.018178 \n",
"411.5039 3373.908218 \n",
"412.0039 3390.198035 \n",
"412.5039 3410.978180 \n",
"413.0039 3453.640353 \n",
"413.5039 3399.225052 \n",
"414.0039 3405.420348 \n",
"414.5039 3377.683960 \n",
"415.0039 3367.118075 \n",
"415.5039 3347.730965 \n",
"416.0039 3380.538526 \n",
"416.5039 3426.733975 \n",
"417.0039 3458.209761 \n",
"417.5039 3451.467198 \n",
"418.0039 3473.851140 \n",
"418.5039 3535.613465 \n",
"419.0039 3588.862520 \n",
"419.5039 3636.690687 \n",
"\n",
"[840 rows x 5 columns]"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ncomms_data = pd.read_excel(\n",
" (\"https://media.nature.com/original/nature-assets/ncomms/2017/170404/\"\n",
" \"ncomms14845/extref/ncomms14845-s3.xlsx\"),\n",
" skiprows=1, index_col=0)\n",
"ncomms_data"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
"text/html": [
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" vertical-align: middle;\n",
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" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Ma</th>\n",
" <th>-</th>\n",
" <th>+</th>\n",
" <th>U</th>\n",
" <th>L</th>\n",
" <th>Period/Age</th>\n",
" <th>Sample</th>\n",
" <th>Location</th>\n",
" <th>Source</th>\n",
" <th>Bound</th>\n",
" <th>...</th>\n",
" <th>SST°K</th>\n",
" <th>Paleolat</th>\n",
" <th>Coordinates</th>\n",
" <th>Location mod</th>\n",
" <th>SST Reference</th>\n",
" <th>b</th>\n",
" <th>CO2(aq)</th>\n",
" <th>Salinity</th>\n",
" <th>K0</th>\n",
" <th>pCO2</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>0.10</td>\n",
" <td>0.100</td>\n",
" <td>0.20</td>\n",
" <td>0.000</td>\n",
" <td>0.30</td>\n",
" <td>Quaternary</td>\n",
" <td>IODP 002R02W 77-79</td>\n",
" <td>DSDP Site 467</td>\n",
" <td>MS</td>\n",
" <td>S</td>\n",
" <td>...</td>\n",
" <td>292.800000</td>\n",
" <td>35.07</td>\n",
" <td>34.43, -120.757833</td>\n",
" <td>Monterey, CA</td>\n",
" <td>seatemperature.org</td>\n",
" <td>170</td>\n",
" <td>12.104538</td>\n",
" <td>34</td>\n",
" <td>0.033700</td>\n",
" <td>359.186488</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>0.50</td>\n",
" <td>0.500</td>\n",
" <td>0.50</td>\n",
" <td>0.000</td>\n",
" <td>1.00</td>\n",
" <td>Quaternary</td>\n",
" <td>IODP 005R04W 77-79</td>\n",
" <td>DSDP Site 467</td>\n",
" <td>MS</td>\n",
" <td>S</td>\n",
" <td>...</td>\n",
" <td>284.880000</td>\n",
" <td>34.93</td>\n",
" <td>34.3, -120.757833</td>\n",
" <td>Monterey, CA</td>\n",
" <td>seatemperature.org</td>\n",
" <td>170</td>\n",
" <td>10.684413</td>\n",
" <td>34</td>\n",
" <td>0.042800</td>\n",
" <td>249.634272</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>0.80</td>\n",
" <td>0.300</td>\n",
" <td>0.20</td>\n",
" <td>0.500</td>\n",
" <td>1.00</td>\n",
" <td>Quaternary</td>\n",
" <td>IODP 008R04W 102-104</td>\n",
" <td>DSDP Site 467</td>\n",
" <td>MS</td>\n",
" <td>S</td>\n",
" <td>...</td>\n",
" <td>285.830000</td>\n",
" <td>34.63</td>\n",
" <td>34.2, -120.757834</td>\n",
" <td>Monterey, CA</td>\n",
" <td>seatemperature.org</td>\n",
" <td>170</td>\n",
" <td>11.807201</td>\n",
" <td>34</td>\n",
" <td>0.041518</td>\n",
" <td>284.385589</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>1.80</td>\n",
" <td>0.300</td>\n",
" <td>0.20</td>\n",
" <td>1.500</td>\n",
" <td>2.00</td>\n",
" <td>Pliocene</td>\n",
" <td>IODP 011R05W 127-129</td>\n",
" <td>DSDP Site 467</td>\n",
" <td>MS</td>\n",
" <td>S</td>\n",
" <td>...</td>\n",
" <td>287.415000</td>\n",
" <td>34.4367</td>\n",
" <td>33.86, -120.757835</td>\n",
" <td>Monterey, CA</td>\n",
" <td>seatemperature.org</td>\n",
" <td>170</td>\n",
" <td>10.910196</td>\n",
" <td>34</td>\n",
" <td>0.039507</td>\n",
" <td>276.160190</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>2.10</td>\n",
" <td>0.100</td>\n",
" <td>0.20</td>\n",
" <td>2.000</td>\n",
" <td>2.30</td>\n",
" <td>Pliocene</td>\n",
" <td>IODP 016R03W 127-129</td>\n",
" <td>DSDP Site 467</td>\n",
" <td>MS</td>\n",
" <td>S</td>\n",
" <td>...</td>\n",
" <td>289.110000</td>\n",
" <td>34.2167</td>\n",
" <td>33.76, -120.757836</td>\n",
" <td>Monterey, CA</td>\n",
" <td>seatemperature.org</td>\n",
" <td>170</td>\n",
" <td>11.596869</td>\n",
" <td>34</td>\n",
" <td>0.037518</td>\n",
" <td>309.099356</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>2.30</td>\n",
" <td>0.300</td>\n",
" <td>0.20</td>\n",
" <td>2.000</td>\n",
" <td>2.50</td>\n",
" <td>Pliocene</td>\n",
" <td>IODP 020R01W 52-54</td>\n",
" <td>DSDP Site 467</td>\n",
" <td>MS</td>\n",
" <td>S</td>\n",
" <td>...</td>\n",
" <td>289.836700</td>\n",
" <td>33.9967</td>\n",
" <td>33.69, -120.757837</td>\n",
" <td>Monterey, CA</td>\n",
" <td>seatemperature.org</td>\n",
" <td>170</td>\n",
" <td>12.702439</td>\n",
" <td>34</td>\n",
" <td>0.036713</td>\n",
" <td>345.988934</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>2.70</td>\n",
" <td>0.200</td>\n",
" <td>0.30</td>\n",
" <td>2.500</td>\n",
" <td>3.00</td>\n",
" <td>Pliocene</td>\n",
" <td>IODP 025R01W 27-29</td>\n",
" <td>DSDP Site 467</td>\n",
" <td>MS</td>\n",
" <td>S</td>\n",
" <td>...</td>\n",
" <td>289.220800</td>\n",
" <td>33.7767</td>\n",
" <td>33.56, -120.757838</td>\n",
" <td>Monterey, CA</td>\n",
" <td>seatemperature.org</td>\n",
" <td>170</td>\n",
" <td>11.211246</td>\n",
" <td>34</td>\n",
" <td>0.037394</td>\n",
" <td>299.815995</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>3.20</td>\n",
" <td>0.200</td>\n",
" <td>0.30</td>\n",
" <td>3.000</td>\n",
" <td>3.50</td>\n",
" <td>Pliocene</td>\n",
" <td>IODP 030R02W 82-84</td>\n",
" <td>DSDP Site 467</td>\n",
" <td>MS</td>\n",
" <td>S</td>\n",
" <td>...</td>\n",
" <td>292.862300</td>\n",
" <td>33.5567</td>\n",
" <td>33.39, -120.757839</td>\n",
" <td>Monterey, CA</td>\n",
" <td>seatemperature.org</td>\n",
" <td>170</td>\n",
" <td>11.500418</td>\n",
" <td>34</td>\n",
" <td>0.033641</td>\n",
" <td>341.858927</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>3.80</td>\n",
" <td>0.300</td>\n",
" <td>0.20</td>\n",
" <td>3.500</td>\n",
" <td>4.00</td>\n",
" <td>Pliocene</td>\n",
" <td>IODP 030R02W 82-84</td>\n",
" <td>DSDP Site 467</td>\n",
" <td>MS</td>\n",
" <td>S</td>\n",
" <td>...</td>\n",
" <td>292.295700</td>\n",
" <td>33.3367</td>\n",
" <td>33.19, -120.757840</td>\n",
" <td>Monterey, CA</td>\n",
" <td>seatemperature.org</td>\n",
" <td>170</td>\n",
" <td>12.074680</td>\n",
" <td>34</td>\n",
" <td>0.034184</td>\n",
" <td>353.225775</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>4.00</td>\n",
" <td>0.200</td>\n",
" <td>0.20</td>\n",
" <td>3.800</td>\n",
" <td>4.20</td>\n",
" <td>Pliocene</td>\n",
" <td>IODP 032R02W 52-54</td>\n",
" <td>DSDP Site 467</td>\n",
" <td>MS</td>\n",
" <td>S</td>\n",
" <td>...</td>\n",
" <td>291.714400</td>\n",
" <td>33.1167</td>\n",
" <td>33.12, -120.757841</td>\n",
" <td>Monterey, CA</td>\n",
" <td>seatemperature.org</td>\n",
" <td>170</td>\n",
" <td>12.713706</td>\n",
" <td>34</td>\n",
" <td>0.034756</td>\n",
" <td>365.796627</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>5.00</td>\n",
" <td>0.200</td>\n",
" <td>0.20</td>\n",
" <td>4.800</td>\n",
" <td>5.20</td>\n",
" <td>Pliocene/Miocene</td>\n",
" <td>IODP 045R03W 100-104</td>\n",
" <td>DSDP Site 467</td>\n",
" <td>MS</td>\n",
" <td>S</td>\n",
" <td>...</td>\n",
" <td>293.251667</td>\n",
" <td>32.8967</td>\n",
" <td>32.79, -120.757842</td>\n",
" <td>Monterey, CA</td>\n",
" <td>seatemperature.org</td>\n",
" <td>170</td>\n",
" <td>11.804776</td>\n",
" <td>34</td>\n",
" <td>0.033276</td>\n",
" <td>354.757453</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>5.50</td>\n",
" <td>0.100</td>\n",
" <td>0.10</td>\n",
" <td>5.400</td>\n",
" <td>5.60</td>\n",
" <td>Upper Miocene</td>\n",
" <td>IODP 047R01W 50-54</td>\n",
" <td>DSDP Site 467</td>\n",
" <td>MS</td>\n",
" <td>S</td>\n",
" <td>...</td>\n",
" <td>293.236667</td>\n",
" <td>32.6767</td>\n",
" <td>32.62, -120.757843</td>\n",
" <td>Monterey, CA</td>\n",
" <td>seatemperature.org</td>\n",
" <td>170</td>\n",
" <td>12.614201</td>\n",
" <td>34</td>\n",
" <td>0.033290</td>\n",
" <td>378.923450</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>6.00</td>\n",
" <td>0.200</td>\n",
" <td>0.20</td>\n",
" <td>5.800</td>\n",
" <td>6.20</td>\n",
" <td>Upper Miocene</td>\n",
" <td>IODP 051R01W 101-105</td>\n",
" <td>DSDP Site 467</td>\n",
" <td>MS</td>\n",
" <td>S</td>\n",
" <td>...</td>\n",
" <td>293.221667</td>\n",
" <td>32.4567</td>\n",
" <td>32.45, -120.757844</td>\n",
" <td>Monterey, CA</td>\n",
" <td>seatemperature.org</td>\n",
" <td>170</td>\n",
" <td>12.545118</td>\n",
" <td>34</td>\n",
" <td>0.033304</td>\n",
" <td>376.690296</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>6.25</td>\n",
" <td>0.250</td>\n",
" <td>0.25</td>\n",
" <td>6.000</td>\n",
" <td>6.50</td>\n",
" <td>Upper Miocene</td>\n",
" <td>IODP 054R02W 25-29</td>\n",
" <td>DSDP Site 467</td>\n",
" <td>MS</td>\n",
" <td>S</td>\n",
" <td>...</td>\n",
" <td>293.206667</td>\n",
" <td>32.2367</td>\n",
" <td>32.37, -120.757845</td>\n",
" <td>Monterey, CA</td>\n",
" <td>seatemperature.org</td>\n",
" <td>170</td>\n",
" <td>12.697407</td>\n",
" <td>34</td>\n",
" <td>0.033318</td>\n",
" <td>381.103192</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>7.25</td>\n",
" <td>0.250</td>\n",
" <td>0.25</td>\n",
" <td>7.000</td>\n",
" <td>7.50</td>\n",
" <td>Upper Miocene</td>\n",
" <td>IODP 058R03W 75-79</td>\n",
" <td>DSDP Site 467</td>\n",
" <td>MS</td>\n",
" <td>S</td>\n",
" <td>...</td>\n",
" <td>293.111667</td>\n",
" <td>32.0167</td>\n",
" <td>32.03, -120.757846</td>\n",
" <td>Monterey, CA</td>\n",
" <td>seatemperature.org</td>\n",
" <td>170</td>\n",
" <td>11.836151</td>\n",
" <td>34</td>\n",
" <td>0.033406</td>\n",
" <td>354.310098</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td>7.75</td>\n",
" <td>0.250</td>\n",
" <td>0.25</td>\n",
" <td>7.500</td>\n",
" <td>8.00</td>\n",
" <td>Upper Miocene</td>\n",
" <td>IODP 062R01W 50-54</td>\n",
" <td>DSDP Site 467</td>\n",
" <td>MS</td>\n",
" <td>S</td>\n",
" <td>...</td>\n",
" <td>293.300000</td>\n",
" <td>35.07</td>\n",
" <td>31.86, -120.757858</td>\n",
" <td>Monterey, CA</td>\n",
" <td>seatemperature.org</td>\n",
" <td>170</td>\n",
" <td>12.335904</td>\n",
" <td>34</td>\n",
" <td>0.033231</td>\n",
" <td>371.219636</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td>8.00</td>\n",
" <td>2.667</td>\n",
" <td>3.62</td>\n",
" <td>5.333</td>\n",
" <td>11.62</td>\n",
" <td>U Miocene, Cenozoic</td>\n",
" <td>2329, Zone 3</td>\n",
" <td>Antelope, San Joaquin, CA, USA</td>\n",
" <td>MO</td>\n",
" <td>F</td>\n",
" <td>...</td>\n",
" <td>289.400000</td>\n",
" <td>35</td>\n",
" <td>31.78, -120.757861</td>\n",
" <td>Monterey, CA</td>\n",
" <td>seatemperature.org</td>\n",
" <td>170</td>\n",
" <td>11.965998</td>\n",
" <td>34</td>\n",
" <td>0.037194</td>\n",
" <td>321.720487</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17</th>\n",
" <td>8.25</td>\n",
" <td>0.250</td>\n",
" <td>0.25</td>\n",
" <td>8.000</td>\n",
" <td>8.50</td>\n",
" <td>Upper Miocene</td>\n",
" <td>IODP 065R02W 50-54</td>\n",
" <td>DSDP Site 467</td>\n",
" <td>MS</td>\n",
" <td>S</td>\n",
" <td>...</td>\n",
" <td>293.350000</td>\n",
" <td>34.93</td>\n",
" <td>31.70, -120.757859</td>\n",
" <td>Monterey, CA</td>\n",
" <td>seatemperature.org</td>\n",
" <td>170</td>\n",
" <td>12.020657</td>\n",
" <td>34</td>\n",
" <td>0.033184</td>\n",
" <td>362.238011</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <td>9.25</td>\n",
" <td>0.250</td>\n",
" <td>0.25</td>\n",
" <td>9.000</td>\n",
" <td>9.50</td>\n",
" <td>Upper Miocene</td>\n",
" <td>IODP 069R02W 50-54</td>\n",
" <td>DSDP Site 467</td>\n",
" <td>MS</td>\n",
" <td>S</td>\n",
" <td>...</td>\n",
" <td>293.096667</td>\n",
" <td>31.7967</td>\n",
" <td>31.36, -120.757847</td>\n",
" <td>Monterey, CA</td>\n",
" <td>seatemperature.org</td>\n",
" <td>170</td>\n",
" <td>11.824670</td>\n",
" <td>34</td>\n",
" <td>0.033420</td>\n",
" <td>353.817718</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>9.30</td>\n",
" <td>0.300</td>\n",
" <td>0.20</td>\n",
" <td>9.000</td>\n",
" <td>9.50</td>\n",
" <td>Upper Miocene</td>\n",
" <td>IODP 070R03W 30-32</td>\n",
" <td>DSDP Site 467</td>\n",
" <td>MS</td>\n",
" <td>S</td>\n",
" <td>...</td>\n",
" <td>293.270000</td>\n",
" <td>34.63</td>\n",
" <td>31.34, -120.757860</td>\n",
" <td>Monterey, CA</td>\n",
" <td>seatemperature.org</td>\n",
" <td>170</td>\n",
" <td>12.161136</td>\n",
" <td>34</td>\n",
" <td>0.033259</td>\n",
" <td>365.653999</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
" <td>10.50</td>\n",
" <td>0.300</td>\n",
" <td>0.20</td>\n",
" <td>10.200</td>\n",
" <td>10.70</td>\n",
" <td>Upper Miocene</td>\n",
" <td>IODP 077R01W 33-35</td>\n",
" <td>DSDP Site 467</td>\n",
" <td>MS</td>\n",
" <td>S</td>\n",
" <td>...</td>\n",
" <td>293.081667</td>\n",
" <td>31.5767</td>\n",
" <td>31.01, -120.757848</td>\n",
" <td>Monterey, CA</td>\n",
" <td>seatemperature.org</td>\n",
" <td>170</td>\n",
" <td>12.478710</td>\n",
" <td>34</td>\n",
" <td>0.033434</td>\n",
" <td>373.231012</td>\n",
" </tr>\n",
" <tr>\n",
" <th>21</th>\n",
" <td>11.00</td>\n",
" <td>4.000</td>\n",
" <td>3.00</td>\n",
" <td>7.000</td>\n",
" <td>14.00</td>\n",
" <td>Middle-Upper Miocene, Cenozoic</td>\n",
" <td>322050</td>\n",
" <td>N America</td>\n",
" <td>MO</td>\n",
" <td>F</td>\n",
" <td>...</td>\n",
" <td>295.600000</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>location entered in paleolatitude.org, modern ...</td>\n",
" <td>seatemperature.org</td>\n",
" <td>170</td>\n",
" <td>12.481636</td>\n",
" <td>34</td>\n",
" <td>0.031205</td>\n",
" <td>399.993309</td>\n",
" </tr>\n",
" <tr>\n",
" <th>22</th>\n",
" <td>11.00</td>\n",
" <td>4.000</td>\n",
" <td>3.00</td>\n",
" <td>7.000</td>\n",
" <td>14.00</td>\n",
" <td>Middle-Upper Miocene, Cenozoic</td>\n",
" <td>322107</td>\n",
" <td>N America</td>\n",
" <td>MO</td>\n",
" <td>F</td>\n",
" <td>...</td>\n",
" <td>295.600000</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>location entered in paleolatitude.org, modern ...</td>\n",
" <td>seatemperature.org</td>\n",
" <td>170</td>\n",
" <td>12.997781</td>\n",
" <td>34</td>\n",
" <td>0.031205</td>\n",
" <td>416.533974</td>\n",
" </tr>\n",
" <tr>\n",
" <th>23</th>\n",
" <td>11.10</td>\n",
" <td>0.000</td>\n",
" <td>0.00</td>\n",
" <td>11.100</td>\n",
" <td>11.10</td>\n",
" <td>Miocene, Cenozoic</td>\n",
" <td>SB-18</td>\n",
" <td>Monterey Formation, CA</td>\n",
" <td>MS</td>\n",
" <td>S</td>\n",
" <td>...</td>\n",
" <td>290.400000</td>\n",
" <td>34.5</td>\n",
" <td>36.6177° N, 121.9166° W</td>\n",
" <td>Pacific Grove, CA</td>\n",
" <td>seatemperature.org</td>\n",
" <td>170</td>\n",
" <td>11.476345</td>\n",
" <td>34</td>\n",
" <td>0.036108</td>\n",
" <td>317.832223</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24</th>\n",
" <td>11.30</td>\n",
" <td>0.000</td>\n",
" <td>0.00</td>\n",
" <td>11.300</td>\n",
" <td>11.30</td>\n",
" <td>Miocene, Cenozoic</td>\n",
" <td>SB-13</td>\n",
" <td>Monterey Formation, CA</td>\n",
" <td>MS</td>\n",
" <td>S</td>\n",
" <td>...</td>\n",
" <td>290.210000</td>\n",
" <td>34.5</td>\n",
" <td>36.6177° N, 121.9166° W</td>\n",
" <td>Pacific Grove, CA</td>\n",
" <td>seatemperature.org</td>\n",
" <td>170</td>\n",
" <td>11.539127</td>\n",
" <td>34</td>\n",
" <td>0.036311</td>\n",
" <td>317.789906</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25</th>\n",
" <td>12.00</td>\n",
" <td>0.200</td>\n",
" <td>0.20</td>\n",
" <td>11.800</td>\n",
" <td>12.20</td>\n",
" <td>Middle Miocene</td>\n",
" <td>IODP 085R01W 50-52</td>\n",
" <td>DSDP Site 467</td>\n",
" <td>MS</td>\n",
" <td>S</td>\n",
" <td>...</td>\n",
" <td>293.066667</td>\n",
" <td>31.3567</td>\n",
" <td>30.73, -120.757849</td>\n",
" <td>Monterey, CA</td>\n",
" <td>seatemperature.org</td>\n",
" <td>170</td>\n",
" <td>13.516128</td>\n",
" <td>34</td>\n",
" <td>0.033448</td>\n",
" <td>404.089698</td>\n",
" </tr>\n",
" <tr>\n",
" <th>26</th>\n",
" <td>12.50</td>\n",
" <td>0.300</td>\n",
" <td>0.20</td>\n",
" <td>12.200</td>\n",
" <td>12.70</td>\n",
" <td>Middle Miocene</td>\n",
" <td>IODP 088R02W 125-127</td>\n",
" <td>DSDP Site 467</td>\n",
" <td>MS</td>\n",
" <td>S</td>\n",
" <td>...</td>\n",
" <td>293.051667</td>\n",
" <td>31.1367</td>\n",
" <td>30.63, -120.757850</td>\n",
" <td>Monterey, CA</td>\n",
" <td>seatemperature.org</td>\n",
" <td>170</td>\n",
" <td>13.177649</td>\n",
" <td>34</td>\n",
" <td>0.033462</td>\n",
" <td>393.804604</td>\n",
" </tr>\n",
" <tr>\n",
" <th>27</th>\n",
" <td>13.00</td>\n",
" <td>0.200</td>\n",
" <td>0.20</td>\n",
" <td>12.800</td>\n",
" <td>13.20</td>\n",
" <td>Middle Miocene</td>\n",
" <td>IODP 091R01W 20-24</td>\n",
" <td>DSDP Site 467</td>\n",
" <td>MS</td>\n",
" <td>S</td>\n",
" <td>...</td>\n",
" <td>293.036667</td>\n",
" <td>30.9167</td>\n",
" <td>30.54, -120.757851</td>\n",
" <td>Monterey, CA</td>\n",
" <td>seatemperature.org</td>\n",
" <td>170</td>\n",
" <td>13.648891</td>\n",
" <td>34</td>\n",
" <td>0.033476</td>\n",
" <td>407.715828</td>\n",
" </tr>\n",
" <tr>\n",
" <th>28</th>\n",
" <td>13.10</td>\n",
" <td>0.000</td>\n",
" <td>0.00</td>\n",
" <td>13.100</td>\n",
" <td>13.10</td>\n",
" <td>Miocene, Cenozoic</td>\n",
" <td>SB-6</td>\n",
" <td>Monterey Formation, CA</td>\n",
" <td>MS</td>\n",
" <td>S</td>\n",
" <td>...</td>\n",
" <td>290.670000</td>\n",
" <td>34.6</td>\n",
" <td>36.6177° N, 121.9166° W</td>\n",
" <td>Pacific Grove, CA</td>\n",
" <td>seatemperature.org</td>\n",
" <td>170</td>\n",
" <td>11.350868</td>\n",
" <td>34</td>\n",
" <td>0.035824</td>\n",
" <td>316.853731</td>\n",
" </tr>\n",
" <tr>\n",
" <th>29</th>\n",
" <td>13.50</td>\n",
" <td>0.100</td>\n",
" <td>0.10</td>\n",
" <td>13.400</td>\n",
" <td>13.60</td>\n",
" <td>Miocene, Cenozoic</td>\n",
" <td>Site 608, King's Trough</td>\n",
" <td>east North Atlantic Ocean</td>\n",
" <td>MS</td>\n",
" <td>F</td>\n",
" <td>...</td>\n",
" <td>288.700000</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Site 608</td>\n",
" <td>Pagani et al., 1999</td>\n",
" <td>170</td>\n",
" <td>17.481748</td>\n",
" <td>34</td>\n",
" <td>0.037985</td>\n",
" <td>460.231698</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>276</th>\n",
" <td>379.00</td>\n",
" <td>4.000</td>\n",
" <td>3.00</td>\n",
" <td>375.000</td>\n",
" <td>382.00</td>\n",
" <td>Frasnian, Devonian</td>\n",
" <td>33.2</td>\n",
" <td>Lennard Shelf, Canning Basin, Western Australia</td>\n",
" <td>MS</td>\n",
" <td>S</td>\n",
" <td>...</td>\n",
" <td>301.000000</td>\n",
" <td>-16.8</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Joachimski et al., 2009</td>\n",
" <td>170</td>\n",
" <td>27.065013</td>\n",
" <td>34</td>\n",
" <td>0.027187</td>\n",
" <td>995.518988</td>\n",
" </tr>\n",
" <tr>\n",
" <th>277</th>\n",
" <td>380.00</td>\n",
" <td>5.000</td>\n",
" <td>2.00</td>\n",
" <td>375.000</td>\n",
" <td>382.00</td>\n",
" <td>Frasnian, Devonian</td>\n",
" <td>33.4</td>\n",
" <td>Lennard Shelf, Canning Basin, Western Australia</td>\n",
" <td>MS</td>\n",
" <td>S</td>\n",
" <td>...</td>\n",
" <td>298.000000</td>\n",
" <td>-16.8</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Joachimski et al., 2009</td>\n",
" <td>170</td>\n",
" <td>24.489657</td>\n",
" <td>34</td>\n",
" <td>0.029301</td>\n",
" <td>835.790708</td>\n",
" </tr>\n",
" <tr>\n",
" <th>278</th>\n",
" <td>383.00</td>\n",
" <td>3.000</td>\n",
" <td>2.00</td>\n",
" <td>380.000</td>\n",
" <td>385.00</td>\n",
" <td>Frasian-Givetian</td>\n",
" <td>40.2</td>\n",
" <td>Lennard Shelf, Canning Basin, Western Australia</td>\n",
" <td>MS</td>\n",
" <td>S</td>\n",
" <td>...</td>\n",
" <td>296.000000</td>\n",
" <td>-13.9</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Joachimski et al., 2009</td>\n",
" <td>170</td>\n",
" <td>38.205955</td>\n",
" <td>34</td>\n",
" <td>0.030873</td>\n",
" <td>1237.514815</td>\n",
" </tr>\n",
" <tr>\n",
" <th>279</th>\n",
" <td>383.00</td>\n",
" <td>3.000</td>\n",
" <td>2.00</td>\n",
" <td>380.000</td>\n",
" <td>385.00</td>\n",
" <td>Frasian-Givetian</td>\n",
" <td>40.3</td>\n",
" <td>Lennard Shelf, Canning Basin, Western Australia</td>\n",
" <td>MS</td>\n",
" <td>S</td>\n",
" <td>...</td>\n",
" <td>296.000000</td>\n",
" <td>-13.9</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Joachimski et al., 2009</td>\n",
" <td>170</td>\n",
" <td>39.132716</td>\n",
" <td>34</td>\n",
" <td>0.030873</td>\n",
" <td>1267.533167</td>\n",
" </tr>\n",
" <tr>\n",
" <th>280</th>\n",
" <td>383.00</td>\n",
" <td>3.000</td>\n",
" <td>2.00</td>\n",
" <td>380.000</td>\n",
" <td>385.00</td>\n",
" <td>Frasian-Givetian</td>\n",
" <td>40.7</td>\n",
" <td>Lennard Shelf, Canning Basin, Western Australia</td>\n",
" <td>MS</td>\n",
" <td>S</td>\n",
" <td>...</td>\n",
" <td>296.000000</td>\n",
" <td>-13.9</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Joachimski et al., 2009</td>\n",
" <td>170</td>\n",
" <td>33.455522</td>\n",
" <td>34</td>\n",
" <td>0.030873</td>\n",
" <td>1083.645301</td>\n",
" </tr>\n",
" <tr>\n",
" <th>281</th>\n",
" <td>383.00</td>\n",
" <td>3.000</td>\n",
" <td>2.00</td>\n",
" <td>380.000</td>\n",
" <td>385.00</td>\n",
" <td>Frasian-Givetian</td>\n",
" <td>41.2</td>\n",
" <td>Lennard Shelf, Canning Basin, Western Australia</td>\n",
" <td>MS</td>\n",
" <td>S</td>\n",
" <td>...</td>\n",
" <td>296.000000</td>\n",
" <td>-13.9</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Joachimski et al., 2009</td>\n",
" <td>170</td>\n",
" <td>31.499078</td>\n",
" <td>34</td>\n",
" <td>0.030873</td>\n",
" <td>1020.274878</td>\n",
" </tr>\n",
" <tr>\n",
" <th>282</th>\n",
" <td>383.00</td>\n",
" <td>3.000</td>\n",
" <td>2.00</td>\n",
" <td>380.000</td>\n",
" <td>385.00</td>\n",
" <td>Frasian-Givetian</td>\n",
" <td>41.9</td>\n",
" <td>Lennard Shelf, Canning Basin, Western Australia</td>\n",
" <td>MS</td>\n",
" <td>S</td>\n",
" <td>...</td>\n",
" <td>296.000000</td>\n",
" <td>-13.9</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Joachimski et al., 2009</td>\n",
" <td>170</td>\n",
" <td>42.205300</td>\n",
" <td>34</td>\n",
" <td>0.030873</td>\n",
" <td>1367.056096</td>\n",
" </tr>\n",
" <tr>\n",
" <th>283</th>\n",
" <td>388.00</td>\n",
" <td>5.300</td>\n",
" <td>5.30</td>\n",
" <td>382.700</td>\n",
" <td>393.30</td>\n",
" <td>M Devonian</td>\n",
" <td>271806</td>\n",
" <td>N America</td>\n",
" <td>MO</td>\n",
" <td>F</td>\n",
" <td>...</td>\n",
" <td>295.000000</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Joachimski et al., 2009</td>\n",
" <td>170</td>\n",
" <td>22.882715</td>\n",
" <td>34</td>\n",
" <td>0.031713</td>\n",
" <td>721.554227</td>\n",
" </tr>\n",
" <tr>\n",
" <th>284</th>\n",
" <td>431.50</td>\n",
" <td>12.300</td>\n",
" <td>12.30</td>\n",
" <td>419.200</td>\n",
" <td>443.80</td>\n",
" <td>Siluiran</td>\n",
" <td>312307</td>\n",
" <td>Africa</td>\n",
" <td>MO</td>\n",
" <td>F</td>\n",
" <td>...</td>\n",
" <td>284.600000</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>location entered in paleolatitude.org, modern ...</td>\n",
" <td>NaN</td>\n",
" <td>170</td>\n",
" <td>22.002804</td>\n",
" <td>34</td>\n",
" <td>0.043190</td>\n",
" <td>509.446359</td>\n",
" </tr>\n",
" <tr>\n",
" <th>285</th>\n",
" <td>438.00</td>\n",
" <td>5.000</td>\n",
" <td>6.00</td>\n",
" <td>433.000</td>\n",
" <td>444.00</td>\n",
" <td>Early Silurian</td>\n",
" <td>757868</td>\n",
" <td>Middle East</td>\n",
" <td>MO</td>\n",
" <td>F</td>\n",
" <td>...</td>\n",
" <td>300.000000</td>\n",
" <td>-42.46</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Pisarzowska and Racki, 2012</td>\n",
" <td>170</td>\n",
" <td>18.564026</td>\n",
" <td>34</td>\n",
" <td>0.027861</td>\n",
" <td>666.301172</td>\n",
" </tr>\n",
" <tr>\n",
" <th>286</th>\n",
" <td>450.00</td>\n",
" <td>6.600</td>\n",
" <td>8.40</td>\n",
" <td>443.400</td>\n",
" <td>458.40</td>\n",
" <td>U Ordovician</td>\n",
" <td>90-10</td>\n",
" <td>Elgin, IO, USA</td>\n",
" <td>MS</td>\n",
" <td>F</td>\n",
" <td>...</td>\n",
" <td>285.320000</td>\n",
" <td>-10.5</td>\n",
" <td>41.9779° N, 91.6656° W</td>\n",
" <td>Cedar Rapids, IO, US</td>\n",
" <td>usclimatedata.com</td>\n",
" <td>170</td>\n",
" <td>28.650895</td>\n",
" <td>34</td>\n",
" <td>0.042199</td>\n",
" <td>678.945628</td>\n",
" </tr>\n",
" <tr>\n",
" <th>287</th>\n",
" <td>450.00</td>\n",
" <td>6.600</td>\n",
" <td>8.40</td>\n",
" <td>443.400</td>\n",
" <td>458.40</td>\n",
" <td>U Ordovician</td>\n",
" <td>90-13</td>\n",
" <td>Elgin, IO, USA</td>\n",
" <td>MS</td>\n",
" <td>F</td>\n",
" <td>...</td>\n",
" <td>285.320000</td>\n",
" <td>-10.5</td>\n",
" <td>41.9779° N, 91.6656° W</td>\n",
" <td>Cedar Rapids, IO, US</td>\n",
" <td>usclimatedata.com</td>\n",
" <td>170</td>\n",
" <td>27.669422</td>\n",
" <td>34</td>\n",
" <td>0.042199</td>\n",
" <td>655.687472</td>\n",
" </tr>\n",
" <tr>\n",
" <th>288</th>\n",
" <td>450.00</td>\n",
" <td>6.600</td>\n",
" <td>8.40</td>\n",
" <td>443.400</td>\n",
" <td>458.40</td>\n",
" <td>U Ordovician</td>\n",
" <td>90-15</td>\n",
" <td>Elgin, IO, USA</td>\n",
" <td>MS</td>\n",
" <td>F</td>\n",
" <td>...</td>\n",
" <td>285.320000</td>\n",
" <td>-10.5</td>\n",
" <td>41.9779° N, 91.6656° W</td>\n",
" <td>Cedar Rapids, IO, US</td>\n",
" <td>usclimatedata.com</td>\n",
" <td>170</td>\n",
" <td>27.669422</td>\n",
" <td>34</td>\n",
" <td>0.042199</td>\n",
" <td>655.687472</td>\n",
" </tr>\n",
" <tr>\n",
" <th>289</th>\n",
" <td>450.00</td>\n",
" <td>6.600</td>\n",
" <td>8.40</td>\n",
" <td>443.400</td>\n",
" <td>458.40</td>\n",
" <td>U Ordovician</td>\n",
" <td>90-16</td>\n",
" <td>Elgin, IO, USA</td>\n",
" <td>MS</td>\n",
" <td>F</td>\n",
" <td>...</td>\n",
" <td>285.320000</td>\n",
" <td>-10.5</td>\n",
" <td>41.9779° N, 91.6656° W</td>\n",
" <td>Cedar Rapids, IO, US</td>\n",
" <td>usclimatedata.com</td>\n",
" <td>170</td>\n",
" <td>30.261873</td>\n",
" <td>34</td>\n",
" <td>0.042199</td>\n",
" <td>717.121259</td>\n",
" </tr>\n",
" <tr>\n",
" <th>290</th>\n",
" <td>450.00</td>\n",
" <td>6.600</td>\n",
" <td>8.40</td>\n",
" <td>443.400</td>\n",
" <td>458.40</td>\n",
" <td>U Ordovician</td>\n",
" <td>90-16-2</td>\n",
" <td>Elgin, IO, USA</td>\n",
" <td>MS</td>\n",
" <td>F</td>\n",
" <td>...</td>\n",
" <td>285.320000</td>\n",
" <td>-10.5</td>\n",
" <td>41.9779° N, 91.6656° W</td>\n",
" <td>Cedar Rapids, IO, US</td>\n",
" <td>usclimatedata.com</td>\n",
" <td>170</td>\n",
" <td>23.977413</td>\n",
" <td>34</td>\n",
" <td>0.042199</td>\n",
" <td>568.197251</td>\n",
" </tr>\n",
" <tr>\n",
" <th>291</th>\n",
" <td>450.00</td>\n",
" <td>6.600</td>\n",
" <td>8.40</td>\n",
" <td>443.400</td>\n",
" <td>458.40</td>\n",
" <td>U Ordovician</td>\n",
" <td>90-71</td>\n",
" <td>Elgin, IO, USA</td>\n",
" <td>MS</td>\n",
" <td>F</td>\n",
" <td>...</td>\n",
" <td>285.320000</td>\n",
" <td>-10.5</td>\n",
" <td>41.9779° N, 91.6656° W</td>\n",
" <td>Cedar Rapids, IO, US</td>\n",
" <td>usclimatedata.com</td>\n",
" <td>170</td>\n",
" <td>30.261873</td>\n",
" <td>34</td>\n",
" <td>0.042199</td>\n",
" <td>717.121259</td>\n",
" </tr>\n",
" <tr>\n",
" <th>292</th>\n",
" <td>450.00</td>\n",
" <td>6.600</td>\n",
" <td>8.40</td>\n",
" <td>443.400</td>\n",
" <td>458.40</td>\n",
" <td>U Ordovician</td>\n",
" <td>90-72</td>\n",
" <td>Elgin, IO, USA</td>\n",
" <td>MS</td>\n",
" <td>F</td>\n",
" <td>...</td>\n",
" <td>285.320000</td>\n",
" <td>-10.5</td>\n",
" <td>41.9779° N, 91.6656° W</td>\n",
" <td>Cedar Rapids, IO, US</td>\n",
" <td>usclimatedata.com</td>\n",
" <td>170</td>\n",
" <td>29.168377</td>\n",
" <td>34</td>\n",
" <td>0.042199</td>\n",
" <td>691.208490</td>\n",
" </tr>\n",
" <tr>\n",
" <th>293</th>\n",
" <td>450.00</td>\n",
" <td>6.600</td>\n",
" <td>8.40</td>\n",
" <td>443.400</td>\n",
" <td>458.40</td>\n",
" <td>U Ordovician</td>\n",
" <td>91-16</td>\n",
" <td>Maquoketa, IO, USA</td>\n",
" <td>MS</td>\n",
" <td>F</td>\n",
" <td>...</td>\n",
" <td>283.320000</td>\n",
" <td>-11.1</td>\n",
" <td>42.0689° N, 90.6657° W</td>\n",
" <td>Maquoketa, IO, USA</td>\n",
" <td>usclimatedata.com</td>\n",
" <td>170</td>\n",
" <td>25.331062</td>\n",
" <td>34</td>\n",
" <td>0.045040</td>\n",
" <td>562.415162</td>\n",
" </tr>\n",
" <tr>\n",
" <th>294</th>\n",
" <td>450.00</td>\n",
" <td>6.600</td>\n",
" <td>8.40</td>\n",
" <td>443.400</td>\n",
" <td>458.40</td>\n",
" <td>U Ordovician</td>\n",
" <td>91-18</td>\n",
" <td>Maquoketa, IO, USA</td>\n",
" <td>MS</td>\n",
" <td>F</td>\n",
" <td>...</td>\n",
" <td>283.320000</td>\n",
" <td>-11.1</td>\n",
" <td>42.0689° N, 90.6657° W</td>\n",
" <td>Maquoketa, IO, USA</td>\n",
" <td>usclimatedata.com</td>\n",
" <td>170</td>\n",
" <td>27.025023</td>\n",
" <td>34</td>\n",
" <td>0.045040</td>\n",
" <td>600.025483</td>\n",
" </tr>\n",
" <tr>\n",
" <th>295</th>\n",
" <td>450.00</td>\n",
" <td>6.600</td>\n",
" <td>8.40</td>\n",
" <td>443.400</td>\n",
" <td>458.40</td>\n",
" <td>U Ordovician</td>\n",
" <td>91-23-1</td>\n",
" <td>Maquoketa, IO, USA</td>\n",
" <td>MS</td>\n",
" <td>F</td>\n",
" <td>...</td>\n",
" <td>283.320000</td>\n",
" <td>-11.1</td>\n",
" <td>42.0689° N, 90.6657° W</td>\n",
" <td>Maquoketa, IO, USA</td>\n",
" <td>usclimatedata.com</td>\n",
" <td>170</td>\n",
" <td>25.331062</td>\n",
" <td>34</td>\n",
" <td>0.045040</td>\n",
" <td>562.415162</td>\n",
" </tr>\n",
" <tr>\n",
" <th>296</th>\n",
" <td>450.00</td>\n",
" <td>6.600</td>\n",
" <td>8.40</td>\n",
" <td>443.400</td>\n",
" <td>458.40</td>\n",
" <td>U Ordovician</td>\n",
" <td>89-52</td>\n",
" <td>Maquoketa, IO, USA</td>\n",
" <td>MS</td>\n",
" <td>F</td>\n",
" <td>...</td>\n",
" <td>283.320000</td>\n",
" <td>-11.1</td>\n",
" <td>42.0689° N, 90.6657° W</td>\n",
" <td>Maquoketa, IO, USA</td>\n",
" <td>usclimatedata.com</td>\n",
" <td>170</td>\n",
" <td>24.194479</td>\n",
" <td>34</td>\n",
" <td>0.045040</td>\n",
" <td>537.180058</td>\n",
" </tr>\n",
" <tr>\n",
" <th>297</th>\n",
" <td>452.00</td>\n",
" <td>2.000</td>\n",
" <td>3.00</td>\n",
" <td>450.000</td>\n",
" <td>455.00</td>\n",
" <td>Dunleith, Ordovician</td>\n",
" <td>201</td>\n",
" <td>Millbrook Farms, Iowa, USA</td>\n",
" <td>MS</td>\n",
" <td>F</td>\n",
" <td>...</td>\n",
" <td>283.650000</td>\n",
" <td>-11.1</td>\n",
" <td>42.0689° N, 90.6657° W</td>\n",
" <td>Maquoketa, IO, USA</td>\n",
" <td>usclimatedata.com</td>\n",
" <td>170</td>\n",
" <td>16.615877</td>\n",
" <td>34</td>\n",
" <td>0.044552</td>\n",
" <td>372.958740</td>\n",
" </tr>\n",
" <tr>\n",
" <th>298</th>\n",
" <td>455.00</td>\n",
" <td>9.000</td>\n",
" <td>4.00</td>\n",
" <td>446.000</td>\n",
" <td>459.00</td>\n",
" <td>Platteville, Ordovician</td>\n",
" <td>214.8</td>\n",
" <td>Millbrook Farms, Iowa, USA</td>\n",
" <td>MS</td>\n",
" <td>F</td>\n",
" <td>...</td>\n",
" <td>283.650000</td>\n",
" <td>-11.1</td>\n",
" <td>42.0689° N, 90.6657° W</td>\n",
" <td>Maquoketa, IO, USA</td>\n",
" <td>usclimatedata.com</td>\n",
" <td>170</td>\n",
" <td>16.615877</td>\n",
" <td>34</td>\n",
" <td>0.044552</td>\n",
" <td>372.958740</td>\n",
" </tr>\n",
" <tr>\n",
" <th>299</th>\n",
" <td>455.00</td>\n",
" <td>9.000</td>\n",
" <td>4.00</td>\n",
" <td>446.000</td>\n",
" <td>459.00</td>\n",
" <td>Platteville, Ordovician</td>\n",
" <td>216.1</td>\n",
" <td>Millbrook Farms, Iowa, USA</td>\n",
" <td>MS</td>\n",
" <td>F</td>\n",
" <td>...</td>\n",
" <td>283.650000</td>\n",
" <td>-11.1</td>\n",
" <td>42.0689° N, 90.6657° W</td>\n",
" <td>Maquoketa, IO, USA</td>\n",
" <td>usclimatedata.com</td>\n",
" <td>170</td>\n",
" <td>17.509629</td>\n",
" <td>34</td>\n",
" <td>0.044552</td>\n",
" <td>393.019832</td>\n",
" </tr>\n",
" <tr>\n",
" <th>300</th>\n",
" <td>455.00</td>\n",
" <td>9.000</td>\n",
" <td>4.00</td>\n",
" <td>446.000</td>\n",
" <td>459.00</td>\n",
" <td>Platteville, Ordovician</td>\n",
" <td>216.6</td>\n",
" <td>Millbrook Farms, Iowa, USA</td>\n",
" <td>MS</td>\n",
" <td>F</td>\n",
" <td>...</td>\n",
" <td>283.650000</td>\n",
" <td>-11.1</td>\n",
" <td>42.0689° N, 90.6657° W</td>\n",
" <td>Maquoketa, IO, USA</td>\n",
" <td>usclimatedata.com</td>\n",
" <td>170</td>\n",
" <td>16.615877</td>\n",
" <td>34</td>\n",
" <td>0.044552</td>\n",
" <td>372.958740</td>\n",
" </tr>\n",
" <tr>\n",
" <th>301</th>\n",
" <td>455.00</td>\n",
" <td>9.000</td>\n",
" <td>4.00</td>\n",
" <td>446.000</td>\n",
" <td>459.00</td>\n",
" <td>Platteville, Ordovician</td>\n",
" <td>217.7</td>\n",
" <td>Millbrook Farms, Iowa, USA</td>\n",
" <td>MS</td>\n",
" <td>F</td>\n",
" <td>...</td>\n",
" <td>283.650000</td>\n",
" <td>-11.1</td>\n",
" <td>42.0689° N, 90.6657° W</td>\n",
" <td>Maquoketa, IO, USA</td>\n",
" <td>usclimatedata.com</td>\n",
" <td>170</td>\n",
" <td>14.672271</td>\n",
" <td>34</td>\n",
" <td>0.044552</td>\n",
" <td>329.332714</td>\n",
" </tr>\n",
" <tr>\n",
" <th>302</th>\n",
" <td>455.00</td>\n",
" <td>9.000</td>\n",
" <td>4.00</td>\n",
" <td>446.000</td>\n",
" <td>459.00</td>\n",
" <td>Platteville, Ordovician</td>\n",
" <td>219.1</td>\n",
" <td>Millbrook Farms, Iowa, USA</td>\n",
" <td>MS</td>\n",
" <td>F</td>\n",
" <td>...</td>\n",
" <td>283.650000</td>\n",
" <td>-11.1</td>\n",
" <td>42.0689° N, 90.6657° W</td>\n",
" <td>Maquoketa, IO, USA</td>\n",
" <td>usclimatedata.com</td>\n",
" <td>170</td>\n",
" <td>15.964570</td>\n",
" <td>34</td>\n",
" <td>0.044552</td>\n",
" <td>358.339550</td>\n",
" </tr>\n",
" <tr>\n",
" <th>303</th>\n",
" <td>455.00</td>\n",
" <td>9.000</td>\n",
" <td>4.00</td>\n",
" <td>446.000</td>\n",
" <td>459.00</td>\n",
" <td>Platteville, Ordovician</td>\n",
" <td>220.6</td>\n",
" <td>Millbrook Farms, Iowa, USA</td>\n",
" <td>MS</td>\n",
" <td>F</td>\n",
" <td>...</td>\n",
" <td>283.650000</td>\n",
" <td>-11.1</td>\n",
" <td>42.0689° N, 90.6657° W</td>\n",
" <td>Maquoketa, IO, USA</td>\n",
" <td>usclimatedata.com</td>\n",
" <td>170</td>\n",
" <td>14.163396</td>\n",
" <td>34</td>\n",
" <td>0.044552</td>\n",
" <td>317.910542</td>\n",
" </tr>\n",
" <tr>\n",
" <th>304</th>\n",
" <td>455.00</td>\n",
" <td>9.000</td>\n",
" <td>4.00</td>\n",
" <td>446.000</td>\n",
" <td>459.00</td>\n",
" <td>Platteville, Ordovician</td>\n",
" <td>221.5</td>\n",
" <td>Millbrook Farms, Iowa, USA</td>\n",
" <td>MS</td>\n",
" <td>F</td>\n",
" <td>...</td>\n",
" <td>283.650000</td>\n",
" <td>-11.1</td>\n",
" <td>42.0689° N, 90.6657° W</td>\n",
" <td>Maquoketa, IO, USA</td>\n",
" <td>usclimatedata.com</td>\n",
" <td>170</td>\n",
" <td>16.122513</td>\n",
" <td>34</td>\n",
" <td>0.044552</td>\n",
" <td>361.884735</td>\n",
" </tr>\n",
" <tr>\n",
" <th>305</th>\n",
" <td>455.00</td>\n",
" <td>9.000</td>\n",
" <td>4.00</td>\n",
" <td>446.000</td>\n",
" <td>459.00</td>\n",
" <td>Platteville, Ordovician</td>\n",
" <td>223.4</td>\n",
" <td>Millbrook Farms, Iowa, USA</td>\n",
" <td>MS</td>\n",
" <td>F</td>\n",
" <td>...</td>\n",
" <td>283.650000</td>\n",
" <td>-11.1</td>\n",
" <td>42.0689° N, 90.6657° W</td>\n",
" <td>Maquoketa, IO, USA</td>\n",
" <td>usclimatedata.com</td>\n",
" <td>170</td>\n",
" <td>16.283646</td>\n",
" <td>34</td>\n",
" <td>0.044552</td>\n",
" <td>365.501520</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>306 rows × 32 columns</p>\n",
"</div>"
],
"text/plain": [
" Ma - + U L Period/Age \\\n",
"0 0.10 0.100 0.20 0.000 0.30 Quaternary \n",
"1 0.50 0.500 0.50 0.000 1.00 Quaternary \n",
"2 0.80 0.300 0.20 0.500 1.00 Quaternary \n",
"3 1.80 0.300 0.20 1.500 2.00 Pliocene \n",
"4 2.10 0.100 0.20 2.000 2.30 Pliocene \n",
"5 2.30 0.300 0.20 2.000 2.50 Pliocene \n",
"6 2.70 0.200 0.30 2.500 3.00 Pliocene \n",
"7 3.20 0.200 0.30 3.000 3.50 Pliocene \n",
"8 3.80 0.300 0.20 3.500 4.00 Pliocene \n",
"9 4.00 0.200 0.20 3.800 4.20 Pliocene \n",
"10 5.00 0.200 0.20 4.800 5.20 Pliocene/Miocene \n",
"11 5.50 0.100 0.10 5.400 5.60 Upper Miocene \n",
"12 6.00 0.200 0.20 5.800 6.20 Upper Miocene \n",
"13 6.25 0.250 0.25 6.000 6.50 Upper Miocene \n",
"14 7.25 0.250 0.25 7.000 7.50 Upper Miocene \n",
"15 7.75 0.250 0.25 7.500 8.00 Upper Miocene \n",
"16 8.00 2.667 3.62 5.333 11.62 U Miocene, Cenozoic \n",
"17 8.25 0.250 0.25 8.000 8.50 Upper Miocene \n",
"18 9.25 0.250 0.25 9.000 9.50 Upper Miocene \n",
"19 9.30 0.300 0.20 9.000 9.50 Upper Miocene \n",
"20 10.50 0.300 0.20 10.200 10.70 Upper Miocene \n",
"21 11.00 4.000 3.00 7.000 14.00 Middle-Upper Miocene, Cenozoic \n",
"22 11.00 4.000 3.00 7.000 14.00 Middle-Upper Miocene, Cenozoic \n",
"23 11.10 0.000 0.00 11.100 11.10 Miocene, Cenozoic \n",
"24 11.30 0.000 0.00 11.300 11.30 Miocene, Cenozoic \n",
"25 12.00 0.200 0.20 11.800 12.20 Middle Miocene \n",
"26 12.50 0.300 0.20 12.200 12.70 Middle Miocene \n",
"27 13.00 0.200 0.20 12.800 13.20 Middle Miocene \n",
"28 13.10 0.000 0.00 13.100 13.10 Miocene, Cenozoic \n",
"29 13.50 0.100 0.10 13.400 13.60 Miocene, Cenozoic \n",
".. ... ... ... ... ... ... \n",
"276 379.00 4.000 3.00 375.000 382.00 Frasnian, Devonian \n",
"277 380.00 5.000 2.00 375.000 382.00 Frasnian, Devonian \n",
"278 383.00 3.000 2.00 380.000 385.00 Frasian-Givetian \n",
"279 383.00 3.000 2.00 380.000 385.00 Frasian-Givetian \n",
"280 383.00 3.000 2.00 380.000 385.00 Frasian-Givetian \n",
"281 383.00 3.000 2.00 380.000 385.00 Frasian-Givetian \n",
"282 383.00 3.000 2.00 380.000 385.00 Frasian-Givetian \n",
"283 388.00 5.300 5.30 382.700 393.30 M Devonian \n",
"284 431.50 12.300 12.30 419.200 443.80 Siluiran \n",
"285 438.00 5.000 6.00 433.000 444.00 Early Silurian \n",
"286 450.00 6.600 8.40 443.400 458.40 U Ordovician \n",
"287 450.00 6.600 8.40 443.400 458.40 U Ordovician \n",
"288 450.00 6.600 8.40 443.400 458.40 U Ordovician \n",
"289 450.00 6.600 8.40 443.400 458.40 U Ordovician \n",
"290 450.00 6.600 8.40 443.400 458.40 U Ordovician \n",
"291 450.00 6.600 8.40 443.400 458.40 U Ordovician \n",
"292 450.00 6.600 8.40 443.400 458.40 U Ordovician \n",
"293 450.00 6.600 8.40 443.400 458.40 U Ordovician \n",
"294 450.00 6.600 8.40 443.400 458.40 U Ordovician \n",
"295 450.00 6.600 8.40 443.400 458.40 U Ordovician \n",
"296 450.00 6.600 8.40 443.400 458.40 U Ordovician \n",
"297 452.00 2.000 3.00 450.000 455.00 Dunleith, Ordovician \n",
"298 455.00 9.000 4.00 446.000 459.00 Platteville, Ordovician \n",
"299 455.00 9.000 4.00 446.000 459.00 Platteville, Ordovician \n",
"300 455.00 9.000 4.00 446.000 459.00 Platteville, Ordovician \n",
"301 455.00 9.000 4.00 446.000 459.00 Platteville, Ordovician \n",
"302 455.00 9.000 4.00 446.000 459.00 Platteville, Ordovician \n",
"303 455.00 9.000 4.00 446.000 459.00 Platteville, Ordovician \n",
"304 455.00 9.000 4.00 446.000 459.00 Platteville, Ordovician \n",
"305 455.00 9.000 4.00 446.000 459.00 Platteville, Ordovician \n",
"\n",
" Sample Location \\\n",
"0 IODP 002R02W 77-79 DSDP Site 467 \n",
"1 IODP 005R04W 77-79 DSDP Site 467 \n",
"2 IODP 008R04W 102-104 DSDP Site 467 \n",
"3 IODP 011R05W 127-129 DSDP Site 467 \n",
"4 IODP 016R03W 127-129 DSDP Site 467 \n",
"5 IODP 020R01W 52-54 DSDP Site 467 \n",
"6 IODP 025R01W 27-29 DSDP Site 467 \n",
"7 IODP 030R02W 82-84 DSDP Site 467 \n",
"8 IODP 030R02W 82-84 DSDP Site 467 \n",
"9 IODP 032R02W 52-54 DSDP Site 467 \n",
"10 IODP 045R03W 100-104 DSDP Site 467 \n",
"11 IODP 047R01W 50-54 DSDP Site 467 \n",
"12 IODP 051R01W 101-105 DSDP Site 467 \n",
"13 IODP 054R02W 25-29 DSDP Site 467 \n",
"14 IODP 058R03W 75-79 DSDP Site 467 \n",
"15 IODP 062R01W 50-54 DSDP Site 467 \n",
"16 2329, Zone 3 Antelope, San Joaquin, CA, USA \n",
"17 IODP 065R02W 50-54 DSDP Site 467 \n",
"18 IODP 069R02W 50-54 DSDP Site 467 \n",
"19 IODP 070R03W 30-32 DSDP Site 467 \n",
"20 IODP 077R01W 33-35 DSDP Site 467 \n",
"21 322050 N America \n",
"22 322107 N America \n",
"23 SB-18 Monterey Formation, CA \n",
"24 SB-13 Monterey Formation, CA \n",
"25 IODP 085R01W 50-52 DSDP Site 467 \n",
"26 IODP 088R02W 125-127 DSDP Site 467 \n",
"27 IODP 091R01W 20-24 DSDP Site 467 \n",
"28 SB-6 Monterey Formation, CA \n",
"29 Site 608, King's Trough east North Atlantic Ocean \n",
".. ... ... \n",
"276 33.2 Lennard Shelf, Canning Basin, Western Australia \n",
"277 33.4 Lennard Shelf, Canning Basin, Western Australia \n",
"278 40.2 Lennard Shelf, Canning Basin, Western Australia \n",
"279 40.3 Lennard Shelf, Canning Basin, Western Australia \n",
"280 40.7 Lennard Shelf, Canning Basin, Western Australia \n",
"281 41.2 Lennard Shelf, Canning Basin, Western Australia \n",
"282 41.9 Lennard Shelf, Canning Basin, Western Australia \n",
"283 271806 N America \n",
"284 312307 Africa \n",
"285 757868 Middle East \n",
"286 90-10 Elgin, IO, USA \n",
"287 90-13 Elgin, IO, USA \n",
"288 90-15 Elgin, IO, USA \n",
"289 90-16 Elgin, IO, USA \n",
"290 90-16-2 Elgin, IO, USA \n",
"291 90-71 Elgin, IO, USA \n",
"292 90-72 Elgin, IO, USA \n",
"293 91-16 Maquoketa, IO, USA \n",
"294 91-18 Maquoketa, IO, USA \n",
"295 91-23-1 Maquoketa, IO, USA \n",
"296 89-52 Maquoketa, IO, USA \n",
"297 201 Millbrook Farms, Iowa, USA \n",
"298 214.8 Millbrook Farms, Iowa, USA \n",
"299 216.1 Millbrook Farms, Iowa, USA \n",
"300 216.6 Millbrook Farms, Iowa, USA \n",
"301 217.7 Millbrook Farms, Iowa, USA \n",
"302 219.1 Millbrook Farms, Iowa, USA \n",
"303 220.6 Millbrook Farms, Iowa, USA \n",
"304 221.5 Millbrook Farms, Iowa, USA \n",
"305 223.4 Millbrook Farms, Iowa, USA \n",
"\n",
" Source Bound ... SST°K Paleolat Coordinates \\\n",
"0 MS S ... 292.800000 35.07 34.43, -120.757833 \n",
"1 MS S ... 284.880000 34.93 34.3, -120.757833 \n",
"2 MS S ... 285.830000 34.63 34.2, -120.757834 \n",
"3 MS S ... 287.415000 34.4367 33.86, -120.757835 \n",
"4 MS S ... 289.110000 34.2167 33.76, -120.757836 \n",
"5 MS S ... 289.836700 33.9967 33.69, -120.757837 \n",
"6 MS S ... 289.220800 33.7767 33.56, -120.757838 \n",
"7 MS S ... 292.862300 33.5567 33.39, -120.757839 \n",
"8 MS S ... 292.295700 33.3367 33.19, -120.757840 \n",
"9 MS S ... 291.714400 33.1167 33.12, -120.757841 \n",
"10 MS S ... 293.251667 32.8967 32.79, -120.757842 \n",
"11 MS S ... 293.236667 32.6767 32.62, -120.757843 \n",
"12 MS S ... 293.221667 32.4567 32.45, -120.757844 \n",
"13 MS S ... 293.206667 32.2367 32.37, -120.757845 \n",
"14 MS S ... 293.111667 32.0167 32.03, -120.757846 \n",
"15 MS S ... 293.300000 35.07 31.86, -120.757858 \n",
"16 MO F ... 289.400000 35 31.78, -120.757861 \n",
"17 MS S ... 293.350000 34.93 31.70, -120.757859 \n",
"18 MS S ... 293.096667 31.7967 31.36, -120.757847 \n",
"19 MS S ... 293.270000 34.63 31.34, -120.757860 \n",
"20 MS S ... 293.081667 31.5767 31.01, -120.757848 \n",
"21 MO F ... 295.600000 NaN NaN \n",
"22 MO F ... 295.600000 NaN NaN \n",
"23 MS S ... 290.400000 34.5 36.6177° N, 121.9166° W \n",
"24 MS S ... 290.210000 34.5 36.6177° N, 121.9166° W \n",
"25 MS S ... 293.066667 31.3567 30.73, -120.757849 \n",
"26 MS S ... 293.051667 31.1367 30.63, -120.757850 \n",
"27 MS S ... 293.036667 30.9167 30.54, -120.757851 \n",
"28 MS S ... 290.670000 34.6 36.6177° N, 121.9166° W \n",
"29 MS F ... 288.700000 NaN NaN \n",
".. ... ... ... ... ... ... \n",
"276 MS S ... 301.000000 -16.8 NaN \n",
"277 MS S ... 298.000000 -16.8 NaN \n",
"278 MS S ... 296.000000 -13.9 NaN \n",
"279 MS S ... 296.000000 -13.9 NaN \n",
"280 MS S ... 296.000000 -13.9 NaN \n",
"281 MS S ... 296.000000 -13.9 NaN \n",
"282 MS S ... 296.000000 -13.9 NaN \n",
"283 MO F ... 295.000000 NaN NaN \n",
"284 MO F ... 284.600000 NaN NaN \n",
"285 MO F ... 300.000000 -42.46 NaN \n",
"286 MS F ... 285.320000 -10.5 41.9779° N, 91.6656° W \n",
"287 MS F ... 285.320000 -10.5 41.9779° N, 91.6656° W \n",
"288 MS F ... 285.320000 -10.5 41.9779° N, 91.6656° W \n",
"289 MS F ... 285.320000 -10.5 41.9779° N, 91.6656° W \n",
"290 MS F ... 285.320000 -10.5 41.9779° N, 91.6656° W \n",
"291 MS F ... 285.320000 -10.5 41.9779° N, 91.6656° W \n",
"292 MS F ... 285.320000 -10.5 41.9779° N, 91.6656° W \n",
"293 MS F ... 283.320000 -11.1 42.0689° N, 90.6657° W \n",
"294 MS F ... 283.320000 -11.1 42.0689° N, 90.6657° W \n",
"295 MS F ... 283.320000 -11.1 42.0689° N, 90.6657° W \n",
"296 MS F ... 283.320000 -11.1 42.0689° N, 90.6657° W \n",
"297 MS F ... 283.650000 -11.1 42.0689° N, 90.6657° W \n",
"298 MS F ... 283.650000 -11.1 42.0689° N, 90.6657° W \n",
"299 MS F ... 283.650000 -11.1 42.0689° N, 90.6657° W \n",
"300 MS F ... 283.650000 -11.1 42.0689° N, 90.6657° W \n",
"301 MS F ... 283.650000 -11.1 42.0689° N, 90.6657° W \n",
"302 MS F ... 283.650000 -11.1 42.0689° N, 90.6657° W \n",
"303 MS F ... 283.650000 -11.1 42.0689° N, 90.6657° W \n",
"304 MS F ... 283.650000 -11.1 42.0689° N, 90.6657° W \n",
"305 MS F ... 283.650000 -11.1 42.0689° N, 90.6657° W \n",
"\n",
" Location mod \\\n",
"0 Monterey, CA \n",
"1 Monterey, CA \n",
"2 Monterey, CA \n",
"3 Monterey, CA \n",
"4 Monterey, CA \n",
"5 Monterey, CA \n",
"6 Monterey, CA \n",
"7 Monterey, CA \n",
"8 Monterey, CA \n",
"9 Monterey, CA \n",
"10 Monterey, CA \n",
"11 Monterey, CA \n",
"12 Monterey, CA \n",
"13 Monterey, CA \n",
"14 Monterey, CA \n",
"15 Monterey, CA \n",
"16 Monterey, CA \n",
"17 Monterey, CA \n",
"18 Monterey, CA \n",
"19 Monterey, CA \n",
"20 Monterey, CA \n",
"21 location entered in paleolatitude.org, modern ... \n",
"22 location entered in paleolatitude.org, modern ... \n",
"23 Pacific Grove, CA \n",
"24 Pacific Grove, CA \n",
"25 Monterey, CA \n",
"26 Monterey, CA \n",
"27 Monterey, CA \n",
"28 Pacific Grove, CA \n",
"29 Site 608 \n",
".. ... \n",
"276 NaN \n",
"277 NaN \n",
"278 NaN \n",
"279 NaN \n",
"280 NaN \n",
"281 NaN \n",
"282 NaN \n",
"283 NaN \n",
"284 location entered in paleolatitude.org, modern ... \n",
"285 NaN \n",
"286 Cedar Rapids, IO, US \n",
"287 Cedar Rapids, IO, US \n",
"288 Cedar Rapids, IO, US \n",
"289 Cedar Rapids, IO, US \n",
"290 Cedar Rapids, IO, US \n",
"291 Cedar Rapids, IO, US \n",
"292 Cedar Rapids, IO, US \n",
"293 Maquoketa, IO, USA \n",
"294 Maquoketa, IO, USA \n",
"295 Maquoketa, IO, USA \n",
"296 Maquoketa, IO, USA \n",
"297 Maquoketa, IO, USA \n",
"298 Maquoketa, IO, USA \n",
"299 Maquoketa, IO, USA \n",
"300 Maquoketa, IO, USA \n",
"301 Maquoketa, IO, USA \n",
"302 Maquoketa, IO, USA \n",
"303 Maquoketa, IO, USA \n",
"304 Maquoketa, IO, USA \n",
"305 Maquoketa, IO, USA \n",
"\n",
" SST Reference b CO2(aq) Salinity K0 \\\n",
"0 seatemperature.org 170 12.104538 34 0.033700 \n",
"1 seatemperature.org 170 10.684413 34 0.042800 \n",
"2 seatemperature.org 170 11.807201 34 0.041518 \n",
"3 seatemperature.org 170 10.910196 34 0.039507 \n",
"4 seatemperature.org 170 11.596869 34 0.037518 \n",
"5 seatemperature.org 170 12.702439 34 0.036713 \n",
"6 seatemperature.org 170 11.211246 34 0.037394 \n",
"7 seatemperature.org 170 11.500418 34 0.033641 \n",
"8 seatemperature.org 170 12.074680 34 0.034184 \n",
"9 seatemperature.org 170 12.713706 34 0.034756 \n",
"10 seatemperature.org 170 11.804776 34 0.033276 \n",
"11 seatemperature.org 170 12.614201 34 0.033290 \n",
"12 seatemperature.org 170 12.545118 34 0.033304 \n",
"13 seatemperature.org 170 12.697407 34 0.033318 \n",
"14 seatemperature.org 170 11.836151 34 0.033406 \n",
"15 seatemperature.org 170 12.335904 34 0.033231 \n",
"16 seatemperature.org 170 11.965998 34 0.037194 \n",
"17 seatemperature.org 170 12.020657 34 0.033184 \n",
"18 seatemperature.org 170 11.824670 34 0.033420 \n",
"19 seatemperature.org 170 12.161136 34 0.033259 \n",
"20 seatemperature.org 170 12.478710 34 0.033434 \n",
"21 seatemperature.org 170 12.481636 34 0.031205 \n",
"22 seatemperature.org 170 12.997781 34 0.031205 \n",
"23 seatemperature.org 170 11.476345 34 0.036108 \n",
"24 seatemperature.org 170 11.539127 34 0.036311 \n",
"25 seatemperature.org 170 13.516128 34 0.033448 \n",
"26 seatemperature.org 170 13.177649 34 0.033462 \n",
"27 seatemperature.org 170 13.648891 34 0.033476 \n",
"28 seatemperature.org 170 11.350868 34 0.035824 \n",
"29 Pagani et al., 1999 170 17.481748 34 0.037985 \n",
".. ... ... ... ... ... \n",
"276 Joachimski et al., 2009 170 27.065013 34 0.027187 \n",
"277 Joachimski et al., 2009 170 24.489657 34 0.029301 \n",
"278 Joachimski et al., 2009 170 38.205955 34 0.030873 \n",
"279 Joachimski et al., 2009 170 39.132716 34 0.030873 \n",
"280 Joachimski et al., 2009 170 33.455522 34 0.030873 \n",
"281 Joachimski et al., 2009 170 31.499078 34 0.030873 \n",
"282 Joachimski et al., 2009 170 42.205300 34 0.030873 \n",
"283 Joachimski et al., 2009 170 22.882715 34 0.031713 \n",
"284 NaN 170 22.002804 34 0.043190 \n",
"285 Pisarzowska and Racki, 2012 170 18.564026 34 0.027861 \n",
"286 usclimatedata.com 170 28.650895 34 0.042199 \n",
"287 usclimatedata.com 170 27.669422 34 0.042199 \n",
"288 usclimatedata.com 170 27.669422 34 0.042199 \n",
"289 usclimatedata.com 170 30.261873 34 0.042199 \n",
"290 usclimatedata.com 170 23.977413 34 0.042199 \n",
"291 usclimatedata.com 170 30.261873 34 0.042199 \n",
"292 usclimatedata.com 170 29.168377 34 0.042199 \n",
"293 usclimatedata.com 170 25.331062 34 0.045040 \n",
"294 usclimatedata.com 170 27.025023 34 0.045040 \n",
"295 usclimatedata.com 170 25.331062 34 0.045040 \n",
"296 usclimatedata.com 170 24.194479 34 0.045040 \n",
"297 usclimatedata.com 170 16.615877 34 0.044552 \n",
"298 usclimatedata.com 170 16.615877 34 0.044552 \n",
"299 usclimatedata.com 170 17.509629 34 0.044552 \n",
"300 usclimatedata.com 170 16.615877 34 0.044552 \n",
"301 usclimatedata.com 170 14.672271 34 0.044552 \n",
"302 usclimatedata.com 170 15.964570 34 0.044552 \n",
"303 usclimatedata.com 170 14.163396 34 0.044552 \n",
"304 usclimatedata.com 170 16.122513 34 0.044552 \n",
"305 usclimatedata.com 170 16.283646 34 0.044552 \n",
"\n",
" pCO2 \n",
"0 359.186488 \n",
"1 249.634272 \n",
"2 284.385589 \n",
"3 276.160190 \n",
"4 309.099356 \n",
"5 345.988934 \n",
"6 299.815995 \n",
"7 341.858927 \n",
"8 353.225775 \n",
"9 365.796627 \n",
"10 354.757453 \n",
"11 378.923450 \n",
"12 376.690296 \n",
"13 381.103192 \n",
"14 354.310098 \n",
"15 371.219636 \n",
"16 321.720487 \n",
"17 362.238011 \n",
"18 353.817718 \n",
"19 365.653999 \n",
"20 373.231012 \n",
"21 399.993309 \n",
"22 416.533974 \n",
"23 317.832223 \n",
"24 317.789906 \n",
"25 404.089698 \n",
"26 393.804604 \n",
"27 407.715828 \n",
"28 316.853731 \n",
"29 460.231698 \n",
".. ... \n",
"276 995.518988 \n",
"277 835.790708 \n",
"278 1237.514815 \n",
"279 1267.533167 \n",
"280 1083.645301 \n",
"281 1020.274878 \n",
"282 1367.056096 \n",
"283 721.554227 \n",
"284 509.446359 \n",
"285 666.301172 \n",
"286 678.945628 \n",
"287 655.687472 \n",
"288 655.687472 \n",
"289 717.121259 \n",
"290 568.197251 \n",
"291 717.121259 \n",
"292 691.208490 \n",
"293 562.415162 \n",
"294 600.025483 \n",
"295 562.415162 \n",
"296 537.180058 \n",
"297 372.958740 \n",
"298 372.958740 \n",
"299 393.019832 \n",
"300 372.958740 \n",
"301 329.332714 \n",
"302 358.339550 \n",
"303 317.910542 \n",
"304 361.884735 \n",
"305 365.501520 \n",
"\n",
"[306 rows x 32 columns]"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"upstream_data = pd.read_excel(\n",
" (\"https://advances.sciencemag.org/highwire/filestream/209152/\"\n",
" \"field_highwire_adjunct_files/1/aat4556_Data_S1.xlsx\"),\n",
" skiprows=1,\n",
" usecols=range(32))\n",
"upstream_data"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"upstream_data[\"current_or_previous\"] = upstream_data[\"Phytane Reference\"].apply(\n",
" lambda s: s if s.lower() == \"current study\" else \"previous study\"\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 869.975x360 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fg = sns.relplot(data=upstream_data,\n",
" x=\"Ma\", y=\"pCO2\",\n",
" hue=\"Source\",\n",
" style=\"current_or_previous\",\n",
" aspect=2, height=5, markers=[\"o\", \"D\"], alpha=0.7);\n",
"sns.lineplot(data=ncomms_data[\"pCO2 probability maximum\"], ax=fg.ax, legend=False);\n",
"fg.ax.invert_xaxis();"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.3"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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