# Juan de Fuca Ridge Mass Flux Data over the Last 500 ka #----------------------------------------------------------------------- # World Data Center for Paleoclimatology, Boulder # and # NOAA Paleoclimatology Program #----------------------------------------------------------------------- # NOTE: Please cite original publication, online resource and date accessed when using this data. # If there is no publication information, please cite Investigator, title, online resource and date accessed. # # Description/Documentation lines begin with # # Data lines have no # # # Online_Resource: https://www.ncdc.noaa.gov/paleo/study/21009 # Online_Resource: http://www1.ncdc.noaa.gov/pub/data/paleo/paleocean/by_contributor/costa2017/costa2017-09pc.txt # # Archive: Paleoceanography # # Parameter_Keywords: lithology, radiogenic isotope #--------------------------------------- # Contribution_Date # Date: 2016-12-01 #--------------------------------------- # Title # Study_Name: Juan de Fuca Ridge Mass Flux Data over the Last 500 ka #--------------------------------------- # Investigators # Investigators: Costa, K.M.; McManus, J.F. #--------------------------------------- # Description and Notes # Description: #--------------------------------------- # Publication # Authors: Costa, K.M. and J.F. McManus # Published_Date_or_Year: 2017 # Published_Title: Efficacy of 230Th normalization in sediments from the Juan de Fuca Ridge, northeast Pacific Ocean # Journal_Name: Geochimica et Cosmochimica Acta # Volume: 197 # Edition: # Issue: # Pages: 215-225 # Report Number: # DOI: 10.1016/j.gca.2016.10.034 # Online_Resource: # Full_Citation: # Abstract: 230Th normalization is an indispensable method for reconstructing sedimentation rates and mass fluxes over time, but the validity of this approach has generated considerable debate in the paleoceanographic community. 230Th systematics have been challenged with regards to grain size bias, sediment composition (CaCO3), water column advection, and other processes. In this study, we investigate the consequences of these effects on 230Th normalization from a suite of six cores on the Juan de Fuca Ridge. The proximity of these cores (<30 km) suggests that they should receive the same particle rain rate of sediment, but the steep bathymetry of the ridge leads to substantial sediment redistribution and variable carbonate preservation, both of which may limit the usage of 230Th in this region. Despite anticipated complications, 230Th normalization effectively recon- structs nearly identical particle rain rates from all six cores, which are summarily unrelated to the total sedimentation rates as calculated from the age models. Instead the total sedimentation rates are controlled almost entirely by sediment focusing and winnowing, which are highly variable even over the short spatial scales investigated in this study. Furthermore, no feed- backs on 230Th systematics were detected as a consequence of sediment focusing, coarse fraction variability, or calcium car- bonate content, supporting the robustness of the 230Th normalization technique. #--------------------------------------- # Funding_Agency # Funding_Agency_Name: US National Science Foundation # Grant: AGS-1338832 #--------------------------------------- # Site Information # Site_Name: AT26-19 09PC # Location: North Pacific Ocean # Country: # Northernmost_Latitude: 44.88717 # Southernmost_Latitude: 44.88717 # Easternmost_Longitude: -130.63683 # Westernmost_Longitude: -130.63683 # Elevation: -2678 #--------------------------------------- # Data_Collection # Collection_Name: AT26-19 09PC Costa17 # First_Year: 7274 # Last_Year: 443742 # Time_Unit: cal yr BP # Core_Length: # Notes: #--------------------------------------- # Chronology_Information # Chronology: #--------------------------------------- # Variables # Data variables follow that are preceded by "##" in columns one and two. # Variables list, one per line, shortname-tab-longname components (9 components: what, material, error, units, seasonality, archive, detail, method, C or N for Character or Numeric data) ## depth_cm depth,,,cm,,,,,N ## age_calyrBP age,,,cal yrs before present,,,,,N ## massflux Total mass flux,,,g cm-2 ka-1,,paleoceanography,,,N ## massflux_err_2s Total mass flux,,Two sigma error,g cm-2 ka-1,,paleoceanography,,,N #------------------------ # Data # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header # Missing Value: NaN depth_cm age_calyrBP massflux massflux_err_2s 0.5 7274 0.427 0.008 4.5 8867 0.475 0.007 6.5 9663 0.519 0.007 8.5 10460 0.491 0.007 10.5 11256 0.515 0.007 12.5 12053 0.601 0.008 14.5 12850 0.541 0.008 16.5 13646 0.687 0.013 18.5 14443 0.689 0.010 20.5 15239 0.800 0.012 24.5 16832 1.073 0.016 28.5 18426 1.305 0.021 30.5 19222 1.219 0.020 32.5 20019 1.429 0.026 34.5 20815 1.468 0.025 36.5 21612 1.489 0.025 38.5 22408 1.462 0.025 40.5 23205 1.456 0.024 42.5 24002 1.409 0.024 44.5 24798 1.304 0.022 46.5 25595 1.239 0.022 48.5 26391 1.240 0.027 52.5 27984 1.103 0.019 56.5 29578 0.988 0.024 60.5 31171 0.981 0.017 62.5 31967 0.928 0.013 64.5 32764 0.915 0.018 68.5 34357 0.965 0.017 70.5 35154 0.871 0.013 75.1 36986 0.869 0.015 79.1 38579 0.846 0.013 83.1 40172 0.791 0.015 87.1 41765 0.788 0.012 91.1 43358 0.805 0.014 93.1 44155 0.783 0.012 95.1 44951 0.748 0.013 99.1 46545 0.753 0.015 101.1 47341 0.784 0.014 103.1 48138 0.750 0.012 107.1 49731 0.759 0.018 111.1 51324 0.787 0.013 115.1 52917 0.694 0.016 117.1 53714 0.801 0.015 121.1 55307 0.744 0.014 123.1 56103 0.781 0.015 127.1 57697 0.866 0.017 131.1 59290 0.774 0.016 133.1 60086 0.733 0.015 137.1 61174 0.852 0.017 139.1 61377 0.853 0.017 143.1 61785 0.803 0.017 147.1 62192 0.796 0.018 151.1 62599 0.768 0.015 155.1 63086 0.755 0.020 157.1 64162 0.763 0.018 159.1 65288 0.820 0.020 161.1 66413 0.815 0.019 163.1 67539 0.861 0.022 165.1 68664 0.726 0.018 167.1 69790 0.757 0.019 170.9 71928 0.656 0.017 172.9 73054 0.747 0.019 174.9 74179 0.769 0.020 178.9 76430 0.749 0.019 180.9 77556 0.761 0.021 182.9 78681 0.757 0.020 184.8 79751 0.769 0.020 186.9 80932 0.750 0.020 188.9 82058 0.742 0.020 190.9 83183 0.753 0.020 194.9 85434 0.676 0.018 196.9 86560 0.687 0.020 200.9 88811 0.680 0.018 204.9 91062 0.669 0.021 206.9 92187 0.648 0.018 208.9 93154 0.663 0.018 212.9 94266 0.480 0.015 216.9 95377 0.440 0.012 220.9 96488 0.410 0.013 224.9 97600 0.434 0.013 228.9 98711 0.445 0.014 232.9 99823 0.427 0.013 236.9 100934 0.388 0.012 240.9 102045 0.378 0.012 244.9 103157 0.350 0.013 248.9 104268 0.368 0.012 254.9 105935 0.402 0.013 258.9 107046 0.426 0.014 260.9 107602 0.380 0.012 264.9 108713 0.377 0.012 268.9 109825 0.375 0.014 272.9 110936 0.330 0.011 276.9 112047 0.363 0.013 280.9 113159 0.375 0.013 284.9 114270 0.403 0.015 288.9 115381 0.376 0.014 292.9 116493 0.366 0.014 296.9 117604 0.484 0.018 300.9 118715 0.481 0.019 304.9 119827 0.476 0.017 308.9 120938 0.432 0.015 312.9 122049 0.419 0.013 316.9 123161 0.427 0.014 318.9 123716 0.398 0.013 318.9 123716 0.380 0.012 323 124855 0.324 0.011 325 125411 0.357 0.011 327 125967 0.405 0.014 331 127078 0.538 0.033 335 128189 0.388 0.012 339 129301 0.258 0.008 343 130412 0.453 0.015 347 131524 0.825 0.031 349 132223 1.079 0.030 351 133215 0.984 0.039 353 134207 0.917 0.037 355 135199 0.775 0.029 357 136191 0.823 0.032 359 137183 1.033 0.044 361 138175 1.057 0.044 363 139167 1.066 0.044 365 140158 1.124 0.047 367 141150 1.054 0.043 369 142142 1.226 0.055 371 143134 1.094 0.044 373 144126 1.170 0.050 375 145118 1.212 0.051 377 146110 1.115 0.048 379 147102 1.043 0.042 381 148094 1.091 0.046 383 149086 1.028 0.047 385 150078 1.031 0.044 387 151070 0.962 0.041 389 152062 1.077 0.046 391 153054 1.073 0.050 393 154046 1.063 0.046 395 155038 0.964 0.042 397 156030 1.058 0.049 399 157022 1.117 0.054 401 158014 0.962 0.042 403 159006 0.858 0.036 405 159998 0.933 0.042 407 160990 0.970 0.043 409 161982 0.977 0.043 411 162973 0.893 0.039 413 163965 0.926 0.041 415 164957 0.976 0.044 417 165949 0.906 0.042 419 166941 0.911 0.045 423 168925 0.909 0.048 427 170909 0.763 0.040 431 172893 0.879 0.048 435 174877 0.833 0.043 439 176861 0.862 0.044 443 178845 0.562 0.029 447 180829 0.552 0.031 451 182813 0.511 0.030 453 183805 0.513 0.031 455 184797 0.515 0.031 457 185788 0.485 0.031 459 186780 0.482 0.030 461 187772 0.493 0.030 463 188764 0.415 0.026 465 189756 0.450 0.029 467 190748 0.431 0.028 469 191740 0.432 0.028 471 192732 0.391 0.025 474.8 194617 0.391 0.025 476.8 195609 0.379 0.024 478.8 196601 0.444 0.030 480.8 197593 0.343 0.022 482.8 198585 0.385 0.025 484.8 199577 0.356 0.023 486.8 200569 0.363 0.024 488.8 201561 0.364 0.023 490.8 202553 0.361 0.023 492.8 203545 0.352 0.023 494.8 204536 0.369 0.024 496.8 205528 0.353 0.023 498.8 206520 0.369 0.024 500.8 207512 0.360 0.024 502.8 208504 0.359 0.023 504.8 209496 0.350 0.023 506.8 210488 0.373 0.025 508.8 211480 0.360 0.025 510.8 212472 0.400 0.029 512.8 213464 0.360 0.025 514.8 214456 0.395 0.029 516.8 215448 0.360 0.025 518.8 216440 0.395 0.030 520.8 217432 0.439 0.034 522.8 218424 0.545 0.050 524.8 219416 0.480 0.042 526.8 221125 0.446 0.036 528.8 223964 0.492 0.044 530.8 226816 0.556 0.052 532.8 229667 0.549 0.049 534.8 232519 0.500 0.044 536.8 235371 0.447 0.038 538.8 238223 0.510 0.044 540.8 241075 0.650 0.057 542.8 243927 0.571 0.049 544.8 246778 0.840 0.077 546.8 249630 0.810 0.078 548.8 251020 1.023 0.106 550.8 252192 0.824 0.081 552.8 253363 0.795 0.073 554.8 254535 0.824 0.080 556.8 255707 0.850 0.081 558.8 256879 1.023 0.111 560.8 258050 0.892 0.084 562.8 259222 0.946 0.095 564.8 260394 1.064 0.113 566.8 261566 0.999 0.103 568.8 262738 1.000 0.099 570.8 263909 1.050 0.111 572.8 265081 1.338 0.166 574.8 266253 1.263 0.156 576.8 267425 1.952 0.773 580.8 269768 1.095 0.138 584.8 272112 1.175 0.177 588.8 272212 2.580 1.060 608.8 272212 0.448 0.060 592.8 272212 1.493 0.368 616.8 272212 0.507 0.058 612.8 272212 0.421 0.051 596.8 272212 1.514 0.364 618.8 272604 0.548 0.065 620.8 276235 0.530 0.064 622.8 280012 0.548 0.067 626.9 287755 0.592 0.070 628.9 291531 0.661 0.102 630.9 294998 0.670 0.111 632.9 297551 0.702 0.113 634.9 300105 0.479 0.068 636.9 302659 0.590 0.087 638.9 305212 0.611 0.106 640.9 307766 0.518 0.088 642.9 310320 0.470 0.074 644.9 312873 0.475 0.079 646.9 315427 0.421 0.070 648.9 317981 0.429 0.070 650.9 320534 0.361 0.057 652.9 323088 0.430 0.074 654.9 325642 0.466 0.086 656.9 328195 0.502 0.089 658.9 330749 0.483 0.082 660.9 333303 0.556 0.109 662.9 335857 0.698 0.167 664.9 338620 0.685 0.161 666.9 341383 0.846 0.217 668.9 344146 0.812 0.154 670.9 346908 1.020 0.330 672.9 349671 0.645 0.121 674.9 352434 0.783 0.173 676.9 355197 0.772 0.175 678.9 357960 0.772 0.185 680.9 360723 0.746 0.186 682.9 363486 0.711 0.168 684.9 366249 0.726 0.177 686.9 369012 0.734 0.167 688.9 371775 0.730 0.190 690.9 374537 0.725 0.248 692.9 377300 0.671 0.220 694.9 380063 0.660 0.222 696.9 382826 0.590 0.136 698.9 385589 0.487 0.142 700.9 388352 0.543 0.186 702.9 391115 0.619 0.149 704.9 393878 0.660 0.231 706.9 396641 0.511 0.109 708.9 399403 0.509 0.112 710.9 402166 0.564 0.191 712.9 404929 0.447 0.127 714.9 406512 0.438 0.115 716.9 408063 0.484 0.139 718.9 409614 0.637 0.144 720.9 411165 0.571 0.125 722.9 412717 0.726 0.185 724.9 414268 0.533 0.110 726.9 415819 0.759 0.195 728.9 417370 0.575 0.159 730.9 418922 0.807 0.225 732.9 420473 0.833 0.225 734.9 422024 0.847 0.246 736.9 423576 1.292 0.658 738.9 425127 1.316 0.478 740.9 426678 2.274 1.312 742.9 428229 1.660 0.657 744.9 429781 1.736 0.632 746.9 431332 1.934 0.902 748.9 432883 2.113 2.197 750.9 434434 1.310 0.389 752.9 435986 3.182 2.629 754.9 437537 2.764 1.915 756.9 439088 1.274 0.419 758.9 440640 1.194 0.476 760.9 442191 1.670 0.858 762.9 443742 0.934 0.345