ACER project members; Sanchez Goñi, Maria Fernanda; Desprat, Stéphanie; Daniau, Anne-Laure; Heusser, Linda E (2017): CLAM age model and microcharcoal of sediment core 146-893A [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.872555
Always quote citation above when using data! You can download the citation in several formats below.
Related to:
Heusser, Linda E (1998): Direct correlation of millennial-scale changes in western North American vegetation and climate with changes in the California Current System over the past ~60 kyr. Paleoceanography, 13(3), 252-262, https://doi.org/10.1029/98PA00670
Heusser, Linda E (2000): Rapid oscillations in western North America vegetation and climate during oxygen isotope stage 5 inferred from pollen data from Santa Barbara Basin (Hole 893A). Palaeogeography, Palaeoclimatology, Palaeoecology, 161(3-4), 407-421, https://doi.org/10.1016/S0031-0182(00)00096-1
Sanchez Goñi, Maria Fernanda; Desprat, Stéphanie; Daniau, Anne-Laure; Bassinot, Franck C; Polanco-Martínez, Josué M; Harrison, Sandy P; Allen, Judy R M; Anderson, R Scott; Behling, Hermann; Bonnefille, Raymonde; Burjachs, Francesc; Carrión, José S; Cheddadi, Rachid; Clark, James S; Combourieu-Nebout, Nathalie; Courtney-Mustaphi, Colin J; DeBusk, Georg H; Dupont, Lydie M; Finch, Jemma M; Fletcher, William J; Giardini, Marco; González, Catalina; Gosling, William D; Grigg, Laurie D; Grimm, Eric C; Hayashi, Ryoma; Helmens, Karin F; Heusser, Linda E; Hill, Trevor R; Hope, Geoffrey; Huntley, Brian; Igarashi, Yaeko; Irino, Tomohisa; Jacobs, Bonnie Fine; Jiménez-Moreno, Gonzalo; Kawai, Sayuri; Kershaw, A Peter; Kumon, Fujio; Lawson, Ian T; Ledru, Marie-Pierre; Lézine, Anne-Marie; Liew, Ping-Mei; Magri, Donatella; Marchant, Robert; Margari, Vasiliki; Mayle, Francis E; McKenzie, G Merna; Moss, Patrick T; Müller, Stefanie; Müller, Ulrich C; Naughton, Filipa; Newnham, Rewi M; Oba, Tadamichi; Pérez-Obiol, Ramon P; Pini, Roberta; Ravazzi, Cesare; Roucoux, Katherine H; Rucina, Stephen M; Scott, Louis; Takahara, Hikaru; Tzedakis, Polychronis C; Urrego, Dunia H; van Geel, Bas; Valencia, Bryan G; Vandergoes, Marcus J; Vincens, Annie; Whitlock, Cathy L; Willard, Debra A; Yamamoto, Masanobu (2017): The ACER pollen and charcoal database: a global resource to document vegetation and fire response to abrupt climate changes during the last glacial period. Earth System Science Data, 9(2), 679-695, https://doi.org/10.5194/essd-9-679-2017
Project(s):
Coverage:
Latitude: 34.287500 * Longitude: -120.036000
Date/Time Start: 1992-11-20T10:30:00 * Date/Time End: 1992-11-20T23:40:00
Minimum DEPTH, sediment/rock: 0.040 m * Maximum DEPTH, sediment/rock: 38.320 m
Event(s):
146-893A * Latitude: 34.287500 * Longitude: -120.036000 * Date/Time Start: 1992-11-20T10:30:00 * Date/Time End: 1992-11-20T23:40:00 * Elevation: -588.0 m * Penetration: 196.5 m * Recovery: 204.91 m * Location: North Pacific Ocean * Campaign: Leg146 * Basis: Joides Resolution * Method/Device: Drilling/drill rig (DRILL) * Comment: 21 core; 196.5 m cored; 0 m drilled; 104.3 % recovery
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | DEPTH, sediment/rock | Depth sed | m | Geocode | ||
| 2 | Calendar age, minimum/young | Cal age min | ka BP | Sanchez Goñi, Maria Fernanda | Classical age-modeling approach, CLAM (Blaauw, 2010) | CLAM_min95 |
| 3 | Calendar age, maximum/old | Cal age max | ka BP | Sanchez Goñi, Maria Fernanda | Classical age-modeling approach, CLAM (Blaauw, 2010) | CLAM_max95 |
| 4 | Calendar age | Cal age | ka BP | Sanchez Goñi, Maria Fernanda | Classical age-modeling approach, CLAM (Blaauw, 2010) | CLAM_best |
| 5 | Accumulation model | Accu model | a/cm | Sanchez Goñi, Maria Fernanda | Classical age-modeling approach, CLAM (Blaauw, 2010) | |
| 6 | Type of age model | Age model type | Sanchez Goñi, Maria Fernanda | |||
| 7 | Charcoal | Charcoal | arbitrary units | Heusser, Linda E | ||
| 8 | Unit | Unit | Heusser, Linda E | |||
| 9 | Sample ID | Sample ID | Sanchez Goñi, Maria Fernanda | ACER sample ID |
License:
Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported (CC-BY-NC-ND-3.0)
Size:
680 data points
Data
| 1 Depth sed [m] | 2 Cal age min [ka BP] | 3 Cal age max [ka BP] | 4 Cal age [ka BP] | 5 Accu model [a/cm] | 6 Age model type | 7 Charcoal [arbitrary units] | 8 Unit | 9 Sample ID |
|---|---|---|---|---|---|---|---|---|
| 0.040 | 9.6 | frag/gram | 7831 | |||||
| 0.090 | 4.7 | frag/gram | 7832 | |||||
| 0.160 | 15.0 | frag/gram | 7833 | |||||
| 0.530 | 2.7 | frag/gram | 7834 | |||||
| 0.640 | 4.1 | frag/gram | 7835 | |||||
| 0.890 | 9.0 | frag/gram | 7836 | |||||
| 1.640 | 3.1 | frag/gram | 7837 | |||||
| 1.920 | 1.5 | frag/gram | 7838 | |||||
| 2.120 | 2.2 | frag/gram | 7839 | |||||
| 2.420 | 9.0 | frag/gram | 7840 | |||||
| 3.150 | 4.0 | frag/gram | 7841 | |||||
| 3.430 | 2.5 | frag/gram | 7842 | |||||
| 3.600 | 5.0 | frag/gram | 7843 | |||||
| 3.930 | 6.0 | frag/gram | 7844 | |||||
| 4.660 | 2.8 | frag/gram | 7845 | |||||
| 4.920 | 5.6 | frag/gram | 7846 | |||||
| 5.140 | 6.3 | frag/gram | 7847 | |||||
| 5.460 | 5.2 | frag/gram | 7848 | |||||
| 6.140 | 5.7 | frag/gram | 7849 | |||||
| 6.640 | 4.5 | frag/gram | 7850 | |||||
| 6.950 | 1.2 | frag/gram | 7851 | |||||
| 7.130 | 1.9 | frag/gram | 7852 | |||||
| 7.410 | 2.9 | frag/gram | 7853 | |||||
| 8.160 | 2.0 | frag/gram | 7854 | |||||
| 8.440 | 1.5 | frag/gram | 7855 | |||||
| 8.640 | 2.7 | frag/gram | 7856 | |||||
| 8.900 | 1.6 | frag/gram | 7857 | |||||
| 9.600 | 3.6 | frag/gram | 7858 | |||||
| 9.860 | 1.3 | frag/gram | 7859 | |||||
| 10.060 | 3.9 | frag/gram | 7860 | |||||
| 10.320 | 1.1 | frag/gram | 7861 | |||||
| 11.010 | 3.4 | frag/gram | 7862 | |||||
| 11.290 | 2.4 | frag/gram | 7863 | |||||
| 11.440 | 2.7 | frag/gram | 7864 | |||||
| 11.710 | 4.8 | frag/gram | 7865 | |||||
| 12.590 | 2.7 | frag/gram | 7866 | |||||
| 12.750 | 3.4 | frag/gram | 7867 | |||||
| 13.000 | 10.0 | frag/gram | 7868 | |||||
| 13.640 | 1.6 | frag/gram | 7869 | |||||
| 13.920 | 2.7 | frag/gram | 7870 | |||||
| 14.070 | 9.2201 | 9.4906 | 9.3559 | 5.961 | Polynomial regression-order 2 | 2.7 | frag/gram | 7871 |
| 14.350 | 9.3906 | 9.6543 | 9.5229 | 5.972 | Polynomial regression-order 2 | 2.7 | frag/gram | 7872 |
| 15.070 | 9.8297 | 10.0770 | 9.9539 | 6.001 | Polynomial regression-order 2 | 1.4 | frag/gram | 7873 |
| 15.350 | 10.0005 | 10.2419 | 10.1221 | 6.012 | Polynomial regression-order 2 | 3.0 | frag/gram | 7874 |
| 15.600 | 10.1541 | 10.3897 | 10.2725 | 6.022 | Polynomial regression-order 2 | 12.0 | frag/gram | 7875 |
| 16.120 | 10.4740 | 10.6981 | 10.5862 | 6.043 | Polynomial regression-order 2 | 5.3 | frag/gram | 7876 |
| 16.160 | 10.4984 | 10.7217 | 10.6104 | 6.044 | Polynomial regression-order 2 | 3.2 | frag/gram | 7877 |
| 16.550 | 10.7387 | 10.9546 | 10.8464 | 6.060 | Polynomial regression-order 2 | 15.0 | frag/gram | 7878 |
| 17.050 | 11.0457 | 11.2538 | 11.1499 | 6.080 | Polynomial regression-order 2 | 8.1 | frag/gram | 7879 |
| 17.230 | 11.1568 | 11.3614 | 11.2594 | 6.087 | Polynomial regression-order 2 | 2.0 | frag/gram | 7880 |
| 17.640 | 11.4105 | 11.6081 | 11.5093 | 6.104 | Polynomial regression-order 2 | 3.6 | frag/gram | 7881 |
| 18.140 | 11.7194 | 11.9100 | 11.8150 | 6.124 | Polynomial regression-order 2 | 7.7 | frag/gram | 7882 |
| 18.640 | 12.0296 | 12.2151 | 12.1217 | 6.144 | Polynomial regression-order 2 | 5.7 | frag/gram | 7883 |
| 19.130 | 12.3338 | 12.5154 | 12.4232 | 6.163 | Polynomial regression-order 2 | 6.0 | frag/gram | 7884 |
| 19.630 | 12.6439 | 12.8226 | 12.7318 | 6.183 | Polynomial regression-order 2 | 4.4 | frag/gram | 7885 |
| 20.080 | 12.9236 | 13.1009 | 13.0105 | 6.201 | Polynomial regression-order 2 | 3.4 | frag/gram | 7886 |
| 20.590 | 13.2409 | 13.4178 | 13.3272 | 6.222 | Polynomial regression-order 2 | 5.0 | frag/gram | 7887 |
| 21.090 | 13.5513 | 13.7304 | 13.6388 | 6.242 | Polynomial regression-order 2 | 3.0 | frag/gram | 7888 |
| 21.590 | 13.8633 | 14.0443 | 13.9514 | 6.262 | Polynomial regression-order 2 | 0.8 | frag/gram | 7889 |
| 22.010 | 14.1253 | 14.3090 | 14.2147 | 6.279 | Polynomial regression-order 2 | 9.0 | frag/gram | 7890 |
| 22.290 | 14.3006 | 14.4855 | 14.3907 | 6.290 | Polynomial regression-order 2 | 3.8 | frag/gram | 7891 |
| 22.400 | 14.3690 | 14.5550 | 14.4599 | 6.294 | Polynomial regression-order 2 | 3.0 | frag/gram | 7892 |
| 22.440 | 14.3939 | 14.5804 | 14.4851 | 6.296 | Polynomial regression-order 2 | 6.4 | frag/gram | 7893 |
| 22.640 | 14.5185 | 14.7071 | 14.6111 | 6.304 | Polynomial regression-order 2 | 0.7 | frag/gram | 7894 |
| 22.880 | 14.6680 | 14.8591 | 14.7625 | 6.313 | Polynomial regression-order 2 | 2.7 | frag/gram | 7895 |
| 23.370 | 14.9753 | 15.1710 | 15.0723 | 6.333 | Polynomial regression-order 2 | 7.1 | frag/gram | 7896 |
| 23.570 | 15.0999 | 15.2990 | 15.1990 | 6.341 | Polynomial regression-order 2 | 5.0 | frag/gram | 7897 |
| 23.810 | 15.2499 | 15.4530 | 15.3513 | 6.351 | Polynomial regression-order 2 | 6.0 | frag/gram | 7898 |
| 24.100 | 15.4321 | 15.6385 | 15.5357 | 6.362 | Polynomial regression-order 2 | 3.2 | frag/gram | 7899 |
| 24.790 | 15.8646 | 16.0817 | 15.9756 | 6.390 | Polynomial regression-order 2 | 8.0 | frag/gram | 7900 |
| 25.090 | 16.0531 | 16.2755 | 16.1675 | 6.402 | Polynomial regression-order 2 | 5.0 | frag/gram | 7901 |
| 25.290 | 16.1790 | 16.4049 | 16.2956 | 6.410 | Polynomial regression-order 2 | 0.5 | frag/gram | 7902 |
| 25.660 | 16.4135 | 16.6451 | 16.5330 | 6.425 | Polynomial regression-order 2 | 4.3 | frag/gram | 7903 |
| 25.980 | 16.6165 | 16.8531 | 16.7388 | 6.437 | Polynomial regression-order 2 | 1.4 | frag/gram | 7904 |
| 26.120 | 16.7059 | 16.9440 | 16.8289 | 6.443 | Polynomial regression-order 2 | 4.0 | frag/gram | 7905 |
| 26.210 | 16.7634 | 17.0025 | 16.8869 | 6.447 | Polynomial regression-order 2 | 3.0 | frag/gram | 7906 |
| 26.920 | 17.2142 | 17.4659 | 17.3456 | 6.475 | Polynomial regression-order 2 | 3.0 | frag/gram | 7907 |
| 27.180 | 17.3799 | 17.6359 | 17.5141 | 6.485 | Polynomial regression-order 2 | 2.3 | frag/gram | 7908 |
| 27.340 | 17.4819 | 17.7412 | 17.6179 | 6.492 | Polynomial regression-order 2 | 1.4 | frag/gram | 7909 |
| 27.640 | 17.6736 | 17.9380 | 17.8129 | 6.504 | Polynomial regression-order 2 | 3.6 | frag/gram | 7910 |
| 28.320 | 18.1091 | 18.3871 | 18.2560 | 6.531 | Polynomial regression-order 2 | 1.5 | frag/gram | 7911 |
| 28.800 | 18.4172 | 18.7048 | 18.5700 | 6.550 | Polynomial regression-order 2 | 0.6 | frag/gram | 7913 |
| 28.800 | 18.4172 | 18.7048 | 18.5700 | 6.550 | Polynomial regression-order 2 | 1.4 | frag/gram | 7913 |
| 29.080 | 18.5967 | 18.8905 | 18.7535 | 6.561 | Polynomial regression-order 2 | 2.0 | frag/gram | 7914 |
| 29.740 | 19.0222 | 19.3303 | 19.1875 | 6.588 | Polynomial regression-order 2 | 5.2 | frag/gram | 7915 |
| 29.990 | 19.1836 | 19.4968 | 19.3523 | 6.598 | Polynomial regression-order 2 | 3.3 | frag/gram | 7916 |
| 30.160 | 19.2938 | 19.6100 | 19.4645 | 6.605 | Polynomial regression-order 2 | 4.3 | frag/gram | 7917 |
| 30.350 | 19.4169 | 19.7370 | 19.5900 | 6.612 | Polynomial regression-order 2 | 6.4 | frag/gram | 7918 |
| 30.980 | 19.8254 | 20.1592 | 20.0074 | 6.637 | Polynomial regression-order 2 | 7.0 | frag/gram | 7919 |
| 31.240 | 19.9948 | 20.3345 | 20.1801 | 6.648 | Polynomial regression-order 2 | 6.0 | frag/gram | 7920 |
| 31.440 | 20.1251 | 20.4698 | 20.3131 | 6.656 | Polynomial regression-order 2 | 1.1 | frag/gram | 7921 |
| 31.700 | 20.2946 | 20.6453 | 20.4863 | 6.666 | Polynomial regression-order 2 | 3.2 | frag/gram | 7922 |
| 32.340 | 20.7137 | 21.0788 | 20.9138 | 6.692 | Polynomial regression-order 2 | 8.0 | frag/gram | 7923 |
| 32.640 | 20.9112 | 21.2816 | 21.1147 | 6.704 | Polynomial regression-order 2 | 0.4 | frag/gram | 7924 |
| 32.860 | 21.0565 | 21.4311 | 21.2623 | 6.713 | Polynomial regression-order 2 | 3.0 | frag/gram | 7925 |
| 33.130 | 21.2340 | 21.6147 | 21.4437 | 6.723 | Polynomial regression-order 2 | 3.0 | frag/gram | 7926 |
| 33.810 | 21.6837 | 22.0781 | 21.9018 | 6.751 | Polynomial regression-order 2 | 6.0 | frag/gram | 7927 |
| 34.090 | 21.8694 | 22.2696 | 22.0909 | 6.762 | Polynomial regression-order 2 | 3.0 | frag/gram | 7928 |
| 34.250 | 21.9753 | 22.3788 | 22.1992 | 6.768 | Polynomial regression-order 2 | 1.1 | frag/gram | 7929 |
| 35.160 | 22.5825 | 23.0034 | 22.8167 | 6.805 | Polynomial regression-order 2 | 7.0 | frag/gram | 7930 |
| 35.480 | 22.7963 | 23.2242 | 23.0347 | 6.818 | Polynomial regression-order 2 | 9.0 | frag/gram | 7931 |
| 35.640 | 22.9031 | 23.3347 | 23.1438 | 6.824 | Polynomial regression-order 2 | 2.3 | frag/gram | 7932 |
| 35.940 | 23.1049 | 23.5422 | 23.3487 | 6.836 | Polynomial regression-order 2 | 4.5 | frag/gram | 7933 |
| 36.490 | 23.4748 | 23.9229 | 23.7253 | 6.858 | Polynomial regression-order 2 | 5.4 | frag/gram | 7934 |
| 36.660 | 23.5889 | 24.0410 | 23.8419 | 6.865 | Polynomial regression-order 2 | 3.2 | frag/gram | 7935 |
| 36.860 | 23.7234 | 24.1797 | 23.9793 | 6.873 | Polynomial regression-order 2 | 3.0 | frag/gram | 7936 |
| 37.180 | 23.9393 | 24.4029 | 24.1994 | 6.886 | Polynomial regression-order 2 | 5.4 | frag/gram | 7937 |
| 37.840 | 24.3856 | 24.8638 | 24.6547 | 6.912 | Polynomial regression-order 2 | 4.5 | frag/gram | 7938 |
| 38.120 | 24.5756 | 25.0598 | 24.8484 | 6.923 | Polynomial regression-order 2 | 3.0 | frag/gram | 7939 |
| 38.320 | 24.7112 | 25.2000 | 24.9869 | 6.931 | Polynomial regression-order 2 | 1.1 | frag/gram | 7940 |