# VM19-193, Indian Ocean, 250,000 year long biomarker reconstructions #----------------------------------------------------------------------- # World Data Service for Paleoclimatology, Boulder # and # NOAA Paleoclimatology Program #----------------------------------------------------------------------- # Template Version 4.0 # Encoding: UTF-8 # NOTE: Please cite original publication, NOAA Landing Page URL, dataset and publication DOIs (where available), and date accessed when using downloaded data. # If there is no publication information, please cite investigator, study title, NOAA Landing Page URL, and date accessed. # # Description/Documentation lines begin with '#' followed by a space # Data lines have no '#' # # NOAA_Landing_Page: https://www.ncei.noaa.gov/access/paleo-search/study/36736 # Landing_Page_Description: NOAA Landing Page of this file's parent study, which includes all study metadata. # # Study_Level_JSON_Metadata: https://www.ncei.noaa.gov/pub/data/metadata/published/paleo/json/noaa-ocean-36736.json # Study_Level_JSON_Description: JSON metadata of this data file's parent study, which includes all study metadata. # # Data_Type: Paleoceanography # # Dataset_DOI: 10.25921/bx6z-sd71 # # Science_Keywords: biomarkers, reconstruction #--------------------------------------- # Resource_Links # # Data_Download_Resource: https://www.ncei.noaa.gov/pub/data/paleo/contributions_by_author/windler2022/vm19-193_windler2022.txt # Data_Download_Description: NOAA Template File; Biomarker and SST Data # #--------------------------------------- # Contribution_Date # Date: 2022-11-14 #--------------------------------------- # File_Last_Modified_Date # Date: 2023-03-10 #--------------------------------------- # Title # Study_Name: VM19-193, Indian Ocean, 250,000 year long biomarker reconstructions #--------------------------------------- # Investigators # Investigators: Windler, Grace; Tierney, Jessica E.; deMenocal, Peter B. #--------------------------------------- # Description_Notes_and_Keywords # Description: Leaf wax dD and d13C, alkenone SST, GDGT Sub-T data and reconstructions from marine core VM19-193 in the equatorial western Indian Ocean that extends 250 ky # Provided Keywords: Indian Ocean, leaf wax, temperature, Pleistocene paleoclimate, monsoon, shelf exposure #--------------------------------------- # Publication # Authors: Windler, Grace, Tierney, Jessica E., and deMenocal, Peter B. # Published_Date_or_Year: 2023-02-01 # Published_Title: Hydroclimate variability in the equatorial western Indian Ocean for the last 250,000 years # Journal_Name: Paleoceanography and Paleoclimatology # Volume: 38 # Edition: # Issue: 2 # Pages: # Report_Number: e2022PA004530 # DOI: 10.1029/2022PA004530 # Online_Resource: # Full_Citation: # Abstract: Indian Ocean sea surface temperatures (SSTs) impact precipitation across the basin through coupled responses to climate perturbations. To understand the hydroclimate response over the western Indian Ocean and equatorial east Africa to different forcing mechanisms, we present four new proxy reconstructions from core VM19-193 (2.98° N, 51.47° E) that span the last 250ky. Sub-surface water temperatures (Sub-T; TEX86) show strong precessional (23 ky) variability that is primarily influenced by maximum incoming solar radiation (insolation) during the Northern Hemisphere spring season, likely indicating that local insolation dominates the upper water column at this tropical location over time. Leaf waxes, on the other hand, reflect two different precipitation signals: d13Cwax (in phase with boreal fall insolation) is likely reflecting vegetation changes in response to local rainfall over east Africa, whereas dDprecip (primarily driven by boreal summer insolation) represents changes in regional circulation associated with the summer monsoon. Glacial-interglacial changes in ocean temperatures support glacial shelf exposure over the Maritime Continent in the eastern Indian Ocean and the subsequent weakening of the Indian Walker Circulation as a mechanism driving 100 ky climate variability across the tropical Indo-Pacific. Additionally, the 100 ky spectral power in dDprecip supports a basin-wide weakening of summer monsoon circulation in response to glacial climates. Overall, the proxy records from VM19-193 indicate that both precession and glacial-interglacial cycles exert control over hydroclimate at this tropical location. #--------------------------------------- # Funding_Agency # Funding_Agency_Name: David and Lucile Packard Foundation # Grant: Fellowship in Science and Engineering #--------------------------------------- # Funding_Agency # Funding_Agency_Name: National Science Foundation # Grant: DGE-1746060 #--------------------------------------- # Site_Information # Site_Name: VM19-193 # Location: Indian Ocean # Northernmost_Latitude: # Southernmost_Latitude: 2.98 # Easternmost_Longitude: 2.98 # Westernmost_Longitude: 51.47 # Elevation_m: 51.47 #--------------------------------------- # Data_Collection # Collection_Name: VM19-193_Windler2022 # First_Year: 247310 # Last_Year: 7700 # Time_Unit: cal yr BP # Core_Length_m: 10.78 # Parameter_Keywords: biomarkers, carbon isotopes, geochemistry, reconstruction # Notes: #--------------------------------------- # Chronology_Information # Chronology: # # interval_top_cm interval_bottom_cm weight_g %CaCO3 # 0 1 5.96 0.25 # 5 6 7.11 0.95 # 10 11 5.6 6.74 # 15 16 4.79 15.9 # 20 21 6.14 36.07 # 25 26 6.71 39.39 # 30 31 6.18 46.55 # 35 36 5.08 52.74 # 40 41 5.62 55.95 # 45 46 7.06 51.14 # 50 51 4 55.2 # 55 56 5.49 45.6 # 60 61 4.98 44.91 # 65 66 7.2 42.92 # 70 71 4.72 37.38 # 75 76 5.85 32.11 # 80 81 7.37 27.49 # 85 86 5.84 24.69 # 90 91 5.57 28.58 # 95 96 5.7 33.23 # 100 101 5.8 28.28 # 105 106 5.25 25.98 # 110 111 6.78 22.98 # 115 116 5.74 30.12 # 120 121 5.99 33.22 # 125 126 6 37.57 # 130 131 5.45 37.29 # 135 136 6 37.72 # 140 141 6.64 33.4 # 145 146 7.09 39.21 # 150 151 5.16 37.39 # 155 156 5.86 35.75 # 160 161 5.34 36.33 # 165 166 5.15 39.92 # 170 171 5.77 37.59 # 175 176 5.33 29.67 # 180 181 6.67 47.25 # 185 186 5.27 48.88 # 190 191 5.29 50.72 # 195 196 5.67 47.85 # 200 201 7.23 45.25 # 205 206 5.4 45.97 # 210 211 5.45 44.34 # 215 216 6.85 47.18 # 220 221 7.12 44.12 # 225 226 5.1 48.02 # 230 231 6.04 48.33 # 235 236 6.03 34.37 # 240 241 6.29 35.23 # 245 246 5.06 23.62 # 250 251 6.66 23.7 # 260 261 5.99 22.27 # 260 271 6.65 6.03 # 265 266 7.04 7.09 # 275 276 5.17 3.66 # 275 276 5.18 3.83 # 280 281 6.91 6.25 # 285 286 6.87 11.09 # 290 291 5.14 22.15 # 295 296 5.57 3.11 # 300 301 5.55 13.93 # 305 306 5.02 8.86 # 310 311 5.4 6.73 # 315 316 6.93 17.54 # 320 321 6.55 20.52 # 325 326 5 18.28 # 330 331 5.74 19.34 # 335 336 5.79 28.61 # 340 341 5.12 27.54 # 345 346 5.13 29.79 # 355 356 6.98 60.41 # 360 361 5.41 64.76 # 365 366 6.57 63.53 # 370 371 5.51 65.17 # 375 376 4.98 65.76 # 380 381 5.47 3.47 # 385 386 5.79 14.78 # 390 391 6.32 9.67 # 395 396 5.14 13.23 # 400 401 5.84 13.57 # 405 406 5.04 45.42 # 410 411 6.64 18.56 # 415 416 5.25 11.13 # 420 421 7.11 16.53 # 425 426 5.49 14.27 # 430 431 7.49 9.95 # 435 436 5.37 11.92 # 440 441 5.64 14.41 # 445 446 7.03 11.36 # 450 451 7.2 11.26 # 455 456 6.7 3.84 # 460 461 5.9 6.12 # 465 466 5.94 2.3 # 470 471 6.29 3.39 # 475 476 5.88 0.13 # 480 481 6.69 0.37 # 485 486 5.75 0.23 # 490 491 4.97 0 # 495 496 4.86 0.27 # 500 501 4.94 0.66 # 505 506 5.85 1.18 # 510 511 5.81 3.18 # 515 516 5.16 1.41 # 520 521 5.07 1.27 # 525 526 5.08 5.71 # 530 531 5.71 15.82 # 535 536 5.26 42.71 # 540 541 5.27 56.77 # 545 546 5.05 56.9 # 550 551 5 51.82 # 555 556 5.46 44.32 # 560 561 6.06 37.91 # 565 566 6.22 28.83 # 570 571 5.3 23.58 # 575 576 5.1 28.68 # 580 581 5.05 30.46 # 585 586 5.87 32.5 # 590 591 5.24 35.23 # 595 596 5.05 42.79 # 600 601 5.08 42.83 # 605 606 5.28 30.29 # 610 611 5.18 32.51 # 615 616 6.18 29.09 # 620 621 5.17 26.64 # 625 626 5.92 21.2 # 630 631 5.34 21.83 # 635 636 5.73 28.68 # 640 641 5.73 29.46 # 645 646 5.92 32.5 # 650 651 5.26 16.59 # 655 656 5.61 17.05 # 660 661 4.98 26.05 # 665 666 6.87 5.42 # 670 671 5.54 9.43 # 675 676 4.99 22.23 # 680 681 5.11 40.98 # 685 686 5.45 34.51 # 690 691 5.55 32.37 # 695 696 5.8 35.55 # 700 701 5.59 24.24 # 705 706 4.98 28.77 # 710 711 6.08 23.2 # 715 716 4.96 38.14 # 720 721 5.53 32.97 # 725 726 5.26 29.39 # 730 731 5.5 50.73 # 750 751 5.74 3.16 # 755 756 6.07 1.26 # 760 761 5.31 7.74 # 765 766 7.01 2.73 # 770 771 5.74 1.58 # 780 781 6.14 0.26 # 785 786 6.06 0.65 # 790 791 6.43 0.79 # 795 796 6.34 0.66 # 800 801 7.61 2.79 # 805 806 5.93 6.9 # 810 811 7.94 5.77 # 815 816 5.7 9.04 # 820 821 6.24 8.15 # 850 851 7.85 14.31 # 855 856 7.66 24.36 # 860 861 5.87 27.19 # 865 866 7.24 33.09 # 870 871 5.52 32.28 # 875 876 7.06 19.74 # 880 881 5.79 17.75 # 885 886 5.97 39.21 # 890 891 7.68 32.41 # 895 896 5.42 2.74 # 900 901 6.97 2.02 # 905 906 6.15 2.36 # 910 911 7.13 4.62 # 915 916 6.3 6.32 # 920 921 6.56 6.25 # 925 926 7.23 6.07 # 930 931 5.72 9.95 # 935 936 6.46 28.74 # 940 941 5.75 42.09 # 960 961 7.18 50.67 # 965 966 5.5 51.21 # 990 991 5.61 51.84 # 995 996 6.31 51.24 #--------------------------------------- # Variables # PaST_Thesaurus_Download_Resource: https://www.ncei.noaa.gov/access/paleo-search/skos/past-thesaurus.rdf # PaST_Thesaurus_Download_Description: Paleoenvironmental Standard Terms (PaST) Thesaurus terms, definitions, and relationships in SKOS format. # # Data variables follow that are preceded by "##" in columns one and two. # Variables list, one per line, shortname-tab-var components: what, material, error, units, seasonality, data type, detail, method, C or N for Character or Numeric data) # ## depth_cm depth ,,,centimeter,,Paleoceanography; Climate Reconstructions,,,N , ## age_ka age ,,,calendar kiloyear before present,,Paleoceanography; Climate Reconstructions,,,N , ## weight_g weight,sediment,,gram,,Paleoceanography,,,N,sample weight ## uk37 alkenone unsaturation index Uk37 prime,,,dimensionless,,Paleoceanography,,chromatography,N , ## sst_uk_low sea surface temperature,alkenone unsaturation index,90% confidence interval lower bound,degree Celsius,,Paleoceanography; Climate Reconstructions,,Bayesian hierarchical modeling,N , ## sst_uk_med sea surface temperature,alkenone unsaturation index,,degree Celsius,,Paleoceanography; Climate Reconstructions,,Bayesian hierarchical modeling,N ,median values of sst ## sst_uk_high sea surface temperature,alkenone unsaturation index,90% confidence interval upper bound,degree Celsius,,Paleoceanography; Climate Reconstructions,,Bayesian hierarchical modeling,N , ## tex86 tetraether index of 86 carbon atoms,,,dimensionless,,Paleoceanography,,high-performance liquid chromatography,N , ## subt_tex_low sea water temperature,glycerol dialkyl glycerol tetraether index,90% confidence interval lower bound,degree Celsius,,Paleoceanography; Climate Reconstructions,,Bayesian hierarchical modeling,N ,based on TEX86 ## subt_tex_med sea water temperature,glycerol dialkyl glycerol tetraether index,,degree Celsius,,Paleoceanography; Climate Reconstructions,,Bayesian hierarchical modeling,N ,median values of sub-t; based on TEX86 ## subt_tex_high sea water temperature,glycerol dialkyl glycerol tetraether index,90% confidence interval upper bound,degree Celsius,,Paleoceanography; Climate Reconstructions,,Bayesian hierarchical modeling,N ,based on TEX86 ## dDwax_C30 delta 2H,C30 n-alkanoic acid,,per mil VSMOW,,Paleoceanography,,isotope ratio mass spectrometry,N , ## dDprecip_low delta 2H,precipitation,90% confidence interval lower bound,per mil VSMOW,,Paleoceanography; Climate Reconstructions,corrected,Bayesian hierarchical modeling,N ,corrected for changes in vegetation; based onC30 n-alkanoic acid ## dDprecip_med delta 2H,precipitation,,per mil VSMOW,,Paleoceanography; Climate Reconstructions,corrected,Bayesian hierarchical modeling,N ,median values of precipitation dD; corrected for changes in vegetation; based on C30 n-alkanoic acid ## dDprecip_high delta 2H,precipitation,90% confidence interval upper bound,per mil VSMOW,,Paleoceanography; Climate Reconstructions,corrected,Bayesian hierarchical modeling,N ,corrected for changes in vegetation; based onC30 n-alkanoic acid ## d13Cwax_C30 delta 13C,C30 n-alkanoic acid,,per mil VPDB,,Paleoceanography,,isotope ratio mass spectrometry,N, ## BIT branched and isoprenoid tetraether index,,,dimensionless,,Paleoceanography,,high-performance liquid chromatography,N, ## MI methane index,,,dimensionless,,Paleoceanography,,high-performance liquid chromatography,N, ## deltaRI ring index,,,dimensionless,,Paleoceanography,,high-performance liquid chromatography,N, ## [1302]_ng_g isoprenoid glycerol dialkyl glycerol tetraether,,,nanogram per gram,,Paleoceanography,,high-performance liquid chromatography,N,1302 concentration in nanograms per gram ## [1300]_ng_g isoprenoid glycerol dialkyl glycerol tetraether,,,nanogram per gram,,Paleoceanography,,high-performance liquid chromatography,N,1300 concentration in nanograms per gram ## [1298]_ng_g isoprenoid glycerol dialkyl glycerol tetraether,,,nanogram per gram,,Paleoceanography,,high-performance liquid chromatography,N,1298 concentration in nanograms per gram ## [1296]_ng_g isoprenoid glycerol dialkyl glycerol tetraether,,,nanogram per gram,,Paleoceanography,,high-performance liquid chromatography,N,1296 concentration in nanograms per gram ## [1292]_ng_g isoprenoid glycerol dialkyl glycerol tetraether,,,nanogram per gram,,Paleoceanography,,high-performance liquid chromatography,N,1292 concentration in nanograms per gram ## [1292_prime]_ng_g isoprenoid glycerol dialkyl glycerol tetraether,,,nanogram per gram,,Paleoceanography,,high-performance liquid chromatography,N,1292 prime concentration in nanograms per gram ## [1050]_ng_g branched glycerol dialkyl glycerol tetraether,,,nanogram per gram,,Paleoceanography,,high-performance liquid chromatography,N,1050 concentration in nanograms per gram ## [1050_prime]_ng_g branched glycerol dialkyl glycerol tetraether,,,nanogram per gram,,Paleoceanography,,high-performance liquid chromatography,N,1050 prime concentration in nanograms per gram ## [1036]_ng_g branched glycerol dialkyl glycerol tetraether,,,nanogram per gram,,Paleoceanography,,high-performance liquid chromatography,N,1036 concentration in nanograms per gram ## [1036_prime]_ng_g branched glycerol dialkyl glycerol tetraether,,,nanogram per gram,,Paleoceanography,,high-performance liquid chromatography,N,1036 prime concentration in nanograms per gram ## [1022]_ng_g branched glycerol dialkyl glycerol tetraether,,,nanogram per gram,,Paleoceanography,,high-performance liquid chromatography,N,1022 concentration in nanograms per gram ## [C37:3]_ng_g C37:3 alkenone,,,nanogram per gram,,Paleoceanography,,chromatography,N ,concentration in nanograms per gram ## [C37:2]_ng_g C37:2 alkenone,,,nanogram per gram,,Paleoceanography,,chromatography,N ,concentration in nanograms per gram ## 1302_peak isoprenoid glycerol dialkyl glycerol tetraether,,,peak area integral,,Paleoceanography,,high-performance liquid chromatography,N ,1302 peak ## 1300_peak isoprenoid glycerol dialkyl glycerol tetraether,,,peak area integral,,Paleoceanography,,high-performance liquid chromatography,N ,1300 peak ## 1298_peak isoprenoid glycerol dialkyl glycerol tetraether,,,peak area integral,,Paleoceanography,,high-performance liquid chromatography,N ,1298 peak ## 1296_peak isoprenoid glycerol dialkyl glycerol tetraether,,,peak area integral,,Paleoceanography,,high-performance liquid chromatography,N ,1296 peak ## 1292_peak isoprenoid glycerol dialkyl glycerol tetraether,,,peak area integral,,Paleoceanography,,high-performance liquid chromatography,N ,1292 peak ## 1292_prime_peak isoprenoid glycerol dialkyl glycerol tetraether,,,peak area integral,,Paleoceanography,,high-performance liquid chromatography,N ,1292 prime peak ## 1050_peak branched glycerol dialkyl glycerol tetraether,,,peak area integral,,Paleoceanography,,high-performance liquid chromatography,N ,1050 peak ## 1050_prime_peak branched glycerol dialkyl glycerol tetraether,,,peak area integral,,Paleoceanography,,high-performance liquid chromatography,N ,1050 prime peak ## 1036_peak branched glycerol dialkyl glycerol tetraether,,,peak area integral,,Paleoceanography,,high-performance liquid chromatography,N ,1036 peak ## 1036_prime_peak branched glycerol dialkyl glycerol tetraether,,,peak area integral,,Paleoceanography,,high-performance liquid chromatography,N ,1036 prime peak ## 1022_peak branched glycerol dialkyl glycerol tetraether,,,peak area integral,,Paleoceanography,,high-performance liquid chromatography,N ,1022 peak ## C37:3_peak C37:3 alkenone,,,peak area integral,,Paleoceanography,,chromatography,N , ## C37:2_peak C37:2 alkenone,,,peak area integral,,Paleoceanography,,chromatography,N , #------------------------ # Data: # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header # Missing_Values: -999 depth_cm age_ka weight_g uk37 sst_uk_low sst_uk_med sst_uk_high tex86 subt_tex_low subt_tex_med subt_tex_high dDwax_C30 dDprecip_low dDprecip_med dDprecip_high d13Cwax_C30 BIT MI deltaRI [1302]_ng_g [1300]_ng_g [1298]_ng_g [1296]_ng_g [1292]_ng_g [1292_prime]_ng_g [1050]_ng_g [1050_prime]_ng_g [1036]_ng_g [1036_prime]_ng_g [1022]_ng_g [C37:3]_ng_g [C37:2]_ng_g 1302_peak 1300_peak 1298_peak 1296_peak 1292_peak 1292_prime_peak 1050_peak 1050_prime_peak 1036_peak 1036_prime_peak 1022_peak C37:3_peak C37:2_peak 13 7.70 35.32 0.926 23.89 27.24 33.17 0.670 15.31 21.50 29.47 -121.14 -1.08 4.29 9.83 -25.1 0.058 0.250 0.175 281.9 71.7 81.9 11.2 442.8 52.3 4.0 12.9 0.8 2.8 6.7 22.0 274.2 8020490 2039648 2328578 318280 12595790 1489076 113206 367671 21718 78284 189530 1386364 17290580 21.5 10.69 15.01 0.930 24.08 27.47 33.69 0.671 15.27 21.51 29.38 -123.14 -3.13 2.81 8.34 -24.6 0.057 0.227 0.052 161.5 42.7 48.1 6.7 299.6 32.3 2.0 6.8 0.7 2.3 6.1 46.4 615.3 2928598 775258 871887 122343 5434623 585862 37057 123362 12737 42111 110330 885560 11755442 32 14.38 31.43 0.914 23.56 26.66 32.33 0.675 15.65 21.91 29.87 -119.26 1.47 6.87 12.16 -24.8 0.037 0.246 0.135 251.8 66.5 79.3 10.3 430.3 48.8 2.3 5.2 0.7 2.1 6.2 20.6 219.5 6083787 1607799 1916571 249840 10397347 1179954 54625 125353 17938 51299 150848 1090920 11642186 41 17.51 12.13 0.859 21.65 24.22 27.84 0.654 14.28 20.52 28.30 -118.41 2.64 8.58 14.83 -24.3 0.035 0.230 0.018 356.5 100.3 108.4 14.7 680.2 66.2 5.7 7.8 1.2 2.9 7.0 121.0 739.2 1462785 411626 444909 60273 2791224 271818 23413 31869 4964 11894 28637 896542 5477634 51.5 20.60 15.44 0.770 18.84 21.25 23.67 0.670 15.34 21.51 29.59 -113.98 9.11 14.99 21.38 -23.4 0.038 0.267 0.169 412.6 115.2 140.2 15.6 666.1 77.9 4.2 9.1 0.9 3.0 9.1 189.0 632.2 6628151 1850934 2251615 250694 10700599 1251228 67000 145902 15075 48519 146075 2444242 8173755 59 22.81 11.71 0.745 18.11 20.50 22.89 0.579 10.34 15.91 23.24 -111.98 10.21 16.55 22.67 -24.0 0.030 0.245 0.015 704.6 169.2 141.9 22.2 959.1 68.4 4.9 8.5 1.2 4.1 11.4 538.8 1572.8 3094411 743224 623156 97280 4212347 300604 21479 37157 5150 18058 50089 5443646 15889536 63 23.98 27.76 0.910 23.40 26.48 32.09 0.594 11.14 16.86 24.08 -107.92 15.38 21.21 27.67 -23.8 0.029 0.242 0.029 741.2 178.7 155.8 24.6 1042.8 80.8 5.2 9.2 1.2 4.3 11.7 120.0 1219.2 6472917 1560893 1361006 214640 9106847 705680 45759 80372 10225 37883 101903 8175988 83058966 71.5 26.48 15.29 0.908 23.30 26.34 31.86 0.587 10.71 16.46 23.62 -112.12 10.52 16.63 23.00 -23.7 0.046 0.267 0.047 469.6 126.4 106.8 18.3 635.1 54.6 5.4 7.8 1.2 4.1 11.8 219.2 2164.4 9457437 2544981 2150558 368590 12790596 1100122 109011 157905 25144 83375 238395 5692866 56214459 81.5 29.42 13.42 0.880 22.38 25.06 29.59 0.591 11.10 16.66 24.10 -112.85 9.15 15.39 21.32 -24.0 0.039 0.234 0.013 507.2 120.8 106.2 16.4 746.2 52.2 4.7 7.6 1.0 3.7 13.0 251.8 1847.1 2946166 701453 616870 95039 4334436 303031 27365 43889 6019 21729 75299 3469800 25452685 92.5 32.66 14.94 0.878 22.26 24.95 29.32 0.576 9.96 15.76 22.72 -113.31 10.09 15.94 22.02 -23.3 0.035 0.256 0.044 667.4 162.4 136.3 22.4 870.9 61.6 4.3 9.2 1.2 3.9 12.5 282.4 2029.2 4694966 1142198 958780 157342 6126760 433001 30139 65025 8530 27774 87994 5276058 37913954 101 35.16 12.96 0.914 23.53 26.61 32.29 0.588 10.69 16.55 23.69 -112.63 11.04 16.98 23.26 -23.2 0.029 0.241 0.009 712.9 171.3 147.4 24.9 1010.2 72.4 5.5 6.9 1.3 3.9 12.8 272.0 2887.0 3485869 837691 720840 121640 4939256 354182 26799 33744 6205 19073 62596 4636534 49212281 121 41.04 12.37 0.916 23.59 26.74 32.44 0.604 11.66 17.52 24.76 -114.58 8.35 14.30 20.52 -23.4 0.029 0.247 0.031 734.4 184.6 170.5 26.2 1075.1 84.7 5.3 9.0 1.4 4.2 12.2 213.3 2333.8 2364541 594421 548857 84235 3461406 272794 17198 28917 4484 13439 39165 2530700 27685558 130 43.68 13.64 0.926 23.94 27.26 33.32 0.607 11.86 17.56 24.93 -113.83 9.13 15.10 21.54 -23.5 0.034 0.244 0.037 516.4 127.3 119.1 17.2 758.1 60.4 4.5 7.5 1.0 3.5 9.9 126.0 1573.4 1639658 404269 378204 54557 2407164 191726 14401 23897 3290 11017 31467 508634 6351207 143 47.50 36.82 0.934 24.24 27.69 33.89 0.609 12.08 17.84 24.99 -110.61 12.87 18.86 25.33 -23.4 0.027 0.257 0.041 715.2 190.5 181.0 26.0 1060.4 89.7 5.0 8.6 1.1 3.5 11.0 104.7 1483.5 5251940 1398588 1329114 190585 7786426 658957 36942 63204 8129 25759 80803 3082872 43666205 151 49.86 13.19 0.924 23.85 27.13 33.07 0.603 11.49 17.49 24.47 -115.08 7.87 14.24 20.33 -23.2 0.039 0.253 0.050 459.4 116.7 105.4 18.0 654.8 54.1 5.7 5.4 1.1 3.1 11.1 220.9 2669.3 5483574 1392577 1258324 215215 7815768 645790 68257 64226 13262 36630 131939 2728192 32962754 161 52.80 17.77 0.917 23.66 26.82 32.64 0.608 12.04 17.67 25.06 -117.24 5.21 11.43 17.41 -23.4 0.032 0.265 0.109 678.1 173.6 163.8 22.5 916.2 83.2 7.2 6.3 1.3 3.7 12.2 202.5 2251.6 4487032 1148622 1083825 148968 6062861 550522 47352 41559 8711 24309 80632 3051528 33933598 171.5 55.88 14.24 0.922 23.79 27.03 32.94 0.612 12.02 18.08 25.36 -120.00 1.81 7.59 14.14 -23.7 0.035 0.238 0.025 479.7 125.9 117.0 19.1 776.0 62.3 6.2 5.7 1.3 3.2 11.4 203.1 2386.1 3152516 827314 769052 125681 5100214 409411 40968 37769 8419 20810 74744 3356476 39438599 181 58.62 13.31 0.904 23.19 26.10 31.44 0.599 11.47 17.16 24.49 -118.18 4.02 9.88 16.23 -23.7 0.035 0.230 0.013 448.5 106.6 94.6 15.4 676.6 49.6 5.3 4.7 1.1 3.0 10.7 268.9 2534.8 2621290 623253 552695 89775 3954235 289754 31053 27624 6332 17670 62578 3582158 33765475 192 60.68 15.25 0.943 24.56 28.18 34.62 0.602 11.60 17.29 24.55 -120.08 1.32 7.21 13.35 -24.0 0.032 0.231 0.054 502.6 128.8 113.3 19.9 808.7 61.6 5.9 5.6 1.2 3.1 10.5 179.1 2942.4 3072385 787556 692611 121413 4943409 376695 35979 34453 7576 19133 64063 2608338 42845349 201.5 62.45 12.90 0.950 24.80 28.59 35.08 0.657 14.43 20.69 28.58 -120.23 1.56 7.43 13.82 -23.7 0.043 0.219 0.053 355.7 97.7 106.1 16.7 720.5 64.6 7.3 6.5 1.7 4.0 13.4 140.5 2645.6 2617698 718637 780657 122839 5302523 475310 53477 47652 12209 29147 98331 1930826 36351672 211.5 64.31 12.69 0.945 24.65 28.33 34.72 0.628 13.03 19.10 26.67 -117.43 4.92 10.91 17.27 -23.5 0.030 0.256 0.102 812.0 206.6 212.4 29.6 1197.1 107.5 6.9 9.8 1.7 5.3 13.5 221.8 3794.1 3247631 826170 849513 118214 4787685 429827 27487 39235 6917 21385 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