# Western Ugandan Crater Lakes 1000 Year Diatom-inferred Lake Level and Conductivity #----------------------------------------------------------------------- # 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: http://ncdc.noaa.gov/paleo/study/16791 # # Original_Source_URL: ftp://ftp.ncdc.noaa.gov/pub/data/paleo/paleolimnology/eastafrica/kyasanduka2014recon.txt # # Archive: Paleolimnology #--------------------------------------- # Contribution_Date # Date: 2014-06-26 #--------------------------------------- # Title # Study_Name: Western Ugandan Crater Lakes 1000 Year Diatom-inferred Lake Level and Conductivity #--------------------------------------- # Investigators # Investigators: Mills, K.; Ryves, D.B. #--------------------------------------- # Description and Notes # Description: Diatom census data and reconstructed Lake Level and Salinity for two East African lakes over the past 1000 years. # #--------------------------------------- # Publication # Authors: Mills, K.; Ryves, D.B.; Anderson, N.J.; Bryant, C.L. and Tyler, J.J. # Published_Date_or_Year: 2013 # Published_Title: Expressions of climate perturbations in western Ugandan crater lake sediment records during the last 1000 yr # Journal_Name: Climate of the Past Discussions # Volume: 9 # Issue: 5 # Pages: 5183-5226 # Report Number: # DOI: 10.5194/cpd-9-5183-2013 # Online_Resource: http://www.clim-past-discuss.net/9/5183/2013/cpd-9-5183-2013.html # Abstract: Equatorial East Africa has a complex, regional patchwork of climate regimes, with multiple interacting drivers. Recent studies have focussed on large lakes and reveal signals that are smoothed in both space and time, and, whilst useful at a continental scale, are of less relevance when understanding short-term, abrupt or immediate impacts of climate and environmental changes. Smaller-scale studies have highlighted spatial complexity and regional heterogeneity of tropical palaeoenvironments in terms of responses to climatic forcing (e.g. the Little Ice Age [LIA]) and questions remain over the spatial extent and synchroneity of climatic changes seen in East African records. Sediment cores from paired crater lakes in western Uganda were examined to assess ecosystem response to long-term climate and environmental change as well as testing responses to multiple drivers using redundancy analysis. These archives provide annual to sub-decadal records of environmental change. The records from the two lakes demonstrate an individualistic response to external (e.g. climatic) drivers, however, some of the broader patterns observed across East Africa suggest that the lakes are indeed sensitive to climatic perturbations such as a dry Mediaeval Climate Anomaly (MCA; 1000-1200 AD) and a relatively drier climate during the main phase of the LIA (1500-1800 AD); though lake levels in western Uganda do fluctuate. The relationship of Ugandan lakes to regional climate drivers breaks down c. 1800 AD, when major changes in the ecosystems appear to be a response to sediment and nutrient influxes as a result of increasing cultural impacts within the lake catchments. The data highlight the complexity of individual lake response to climate forcing, indicating shifting drivers through time. This research also highlights the importance of using multi-lake studies within a landscape to allow for rigorous testing of climate reconstructions, forcing and ecosystem response. #--------------------------------------- # Publication # Authors: Mills K. and Ryves D.B. # Published_Date_or_Year: 2012 # Published_Title: Diatom-based models for inferring past water chemistry in western Ugandan crater lakes # Journal_Name: Journal of Paleolimnology # Volume: 48 # Issue: # Pages: 383-399 # Report Number: # DOI: 10.1007/s10933-012-9609-2 # Abstract: Diatom surface sediment samples and corresponding water chemistry were collected from 56 lakes across a natural conductivity gradient in western Uganda (reflecting a regional climatic gradient of effective moisture) to explore factors controlling diatom distribution. Here we develop a regional training set from these crater lakes to test the hypothesis that this approach, by providing more appropriate and closer analogues, can improve the accuracy of palaeo-conductivity reconstructions, and so environmental inferences in these lake systems compared to larger training sets. We compare this output to models based on larger, but geographically and limnologically diverse training sets, using the European Diatom Database Initiative (EDDI) database. The relationships between water chemistry and diatom distributions were explored using canonical correspondence analysis (CCA) and partial CCA. Variance partitioning indicated that conductivity accounted for a significant and independent portion of this variation. A transfer function was developed for conductivity (r jack 2 = 0.74). Prediction errors, estimated using jack-knifing, are low for the conductivity model (0.256 log10 units). The resulting model was applied to a sedimentary sequence from Lake Kasenda, western Uganda. Comparison of conductivity reconstructions using the Ugandan crater lake training set and the East Africa training set (EDDI) highlighted a number of differences in the optima of key diatom taxa, which lead to differences in reconstructed values and could lead to misinterpretation of the fossil record. This study highlights issues of how far transfer functions based on continental-scale lake datasets such as the EDDI pan-African models should be used and the benefits that may be obtained from regional training sets. #--------------------------------------- # Funding_Agency # Funding_Agency_Name: Natural Environment Research Council (NERC) # Grant: NE/D0001557/1 #--------------------------------------- # Funding_Agency # Funding_Agency_Name: Loughborough University Development Fund # Grant: #--------------------------------------- # Site Information # Site_Name: Lake Kyasanduka # Location: Africa>Eastern Africa>Uganda # Country: Uganda # Northernmost_Latitude: -0.289778 # Southernmost_Latitude: -0.289778 # Easternmost_Longitude: 30.050222 # Westernmost_Longitude: 30.050222 # Elevation: 994 m #--------------------------------------- # Data_Collection # Collection_Name: Kyasanduka2014recon # First_Year: 1072 # Last_Year: 2007 # Time_Unit: AD # Core_Length: 217 # Notes: The data provided are from a composite core sequence. This master core sequence consists of a number of correlated, overlapping cores. Additional details are provided in the associated publication (Mills et al., 2014). #--------------------------------------- # Chronology: # Lake Kyasanduka age data. Published age model was created in CLAM for R, following the method of Blaauw (2010). # Additional chronology based on Pb-210 and Cs-137 data is also provided. # # Labcode depth_top depth_bottom mat.dated 14C.raw 14C.raw_err datemeth calib.14C calib.14C_2sig_lo calib.14C_2sig_up calib_method rejected # SUERC-16174 90 91 Leaf 227 35 14C AMS 1750 1528 1952 IntCal09 No # SUERC-19070 134 135 Charcoal 995 35 14C AMS 1036 983 1154 IntCal09 Yes # SUERC-18397 167 168 Leaf 362 37 14C AMS 1538 1449 1635 IntCal09 No # SUERC-16175 168 170 Charcoal / Wood 568 37 14C AMS 1353 1300 1429 IntCal09 No # SUERC-16176 183 185 Wood fragment 516 37 14C AMS 1416 1319 1447 IntCal09 No # SUERC-18988 189 190 Wood 480 37 14C AMS 1431 1332 1470 IntCal09 No # SUERC-19065 189 190 Charcoal 565 35 14C AMS 1354 1302 1429 IntCal09 No # SUERC-18398 192 192.5 Charred wood 2700 37 14C AMS 1119 1037 1209 IntCal09 Yes # SUERC-19071 192 193 Wood 905 35 14C AMS -853 -914 -802 IntCal09 No # SUERC-16173 202 203 Wood fragment 792 35 14C AMS 1240 1182 1279 IntCal09 No # POZ-26360 206 207 Charcoal 1830 30 14C AMS 182 86 252 IntCal09 Yes # # code mid_depth mat.dated age_AD year error datemeth # Kyas_1 0 Bulk sediment 2007 0 0 Pb-210, corrected using Cs-137 # Kyas_2 0.5 Bulk sediment 2007 0 2 Pb-210, corrected using Cs-137 # Kyas_3 2.5 Bulk sediment 2007 0 2 Pb-210, corrected using Cs-137 # Kyas_4 4.5 Bulk sediment 2006 1 2 Pb-210, corrected using Cs-137 # Kyas_5 8.5 Bulk sediment 2004 3 2 Pb-210, corrected using Cs-137 # Kyas_6 11.5 Bulk sediment 2001 6 2 Pb-210, corrected using Cs-137 # Kyas_7 14.5 Bulk sediment 1999 9 2 Pb-210, corrected using Cs-137 # Kyas_8 17.5 Bulk sediment 1996 11 2 Pb-210, corrected using Cs-137 # Kyas_9 23.5 Bulk sediment 1990 17 2 Pb-210, corrected using Cs-137 # Kyas_10 26.5 Bulk sediment 1986 21 3 Pb-210, corrected using Cs-137 # Kyas_11 29.5 Bulk sediment 1982 25 3 Pb-210, corrected using Cs-137 # Kyas_12 32.5 Bulk sediment 1977 30 4 Pb-210, corrected using Cs-137 # Kyas_13 35.5 Bulk sediment 1974 33 4 Pb-210, corrected using Cs-137 # Kyas_14 38.5 Bulk sediment 1971 36 5 Pb-210, corrected using Cs-137 # Kyas_15 44.5 Bulk sediment 1965 42 6 Pb-210, corrected using Cs-137 # Kyas_16 48.5 Bulk sediment 1961 46 8 Pb-210, corrected using Cs-137 # Kyas_17 52.5 Bulk sediment 1955 52 8 Pb-210, corrected using Cs-137 # Kyas_18 55.5 Bulk sediment 1950 57 8 Pb-210, corrected using Cs-137 # Kyas_19 59.5 Bulk sediment 1944 63 9 Pb-210, corrected using Cs-137 # Kyas_20 64.5 Bulk sediment 1935 72 9 Pb-210, corrected using Cs-137 # Kyas_21 68.5 Bulk sediment 1929 78 10 Pb-210, corrected using Cs-137 # Kyas_22 74.5 Bulk sediment 1924 84 10 Pb-210, corrected using Cs-137 # Kyas_23 80.5 Bulk sediment 1918 89 10 Pb-210, corrected using Cs-137 # Kyas_24 86.5 Bulk sediment 1912 96 11 Pb-210, corrected using Cs-137 # Kyas_25 92.5 Bulk sediment 1905 102 11 Pb-210, corrected using Cs-137 # Kyas_26 96.5 Bulk sediment 1898 109 11 Pb-210, corrected using Cs-137 # Kyas_27 100.5 Bulk sediment 1892 115 12 Pb-210, corrected using Cs-137 # Kyas_28 104.5 Bulk sediment 1885 122 14 Pb-210, corrected using Cs-137 # Kyas_29 108.5 Bulk sediment 1877 130 16 Pb-210, corrected using Cs-137 # # #--------------------------------------- # Variables # # Data variables follow that are preceded by "##" in columns one and two. # Data line variables format: Variables list, one per line, shortname-tab-longname-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_AD age,,,year AD,,,,analytical technique: isotope ratio mass spectrometry (AMS),N ## DI_level Diatom-inferred lake level,,,N/A,,Paleolimnology,,Percentage planktonic data. Loess smooth used on published data.,N ## dca_1 Detrended Correspondence Analysis axis 1 sample scores,,,SI Units,,Paleolimnology,,Ordination analysis: Canoco 4.5,N ## dca_2 Detrended Correspondence Analysis axis 2 sample scores,,,SI Units,,Paleolimnology,,Ordination analysis: Canoco 4.5,N ## DI_cond Diatom-Inferred conductivity,,,µS/cm,,Paleolimnology,,Diatom conductivity transfer function,N ## error_min Diatom-Inferred conductivity (error - min),,RMSEP (Jack-knifed),µS/cm,,Paleolimnology,,Diatom conductivity transfer function,N ## error_max Diatom-Inferred conductivity (error - max),,RMSEP (Jack-knifed),µS/cm,,Paleolimnology,Model error of 0.256 log units,Diatom conductivity transfer function,N #---------------- # Data: # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header # Missing Values: # depth_cm age_AD DI_level dca_1 dca_2 DI_cond error_min error_max 0 2007 7.15 1.10 1.0072 584.925 324.414 1054.63 1 2006.7 1.24 1.24 1.9037 537.057 297.866 968.323 2 2006.3 1.83 1.13 1.5786 479.59 265.993 864.709 3 2005.9 4.92 1.34 1.6389 541.514 300.338 976.359 4 2005.6 1.91 1.09 1.5395 444.713 246.649 801.825 5 2005.3 3.34 1.01 1.2442 397.704 220.577 717.067 6 2004 3.37 0.94 1.2487 406.883 225.668 733.617 7 2003.7 22.51 0.85 1.1588 1064.71 590.516 1919.69 8 2003.3 2.22 0.75 1.2815 326.994 181.359 589.576 9 2002 5.17 0.90 1.2742 471.39 261.445 849.925 10 2001.7 6.07 0.99 1.1553 447.353 248.113 806.585 11 2001.3 4.53 1.05 1.2213 617.348 342.397 1113.09 12 2000 7.1875 0.92 1.1303 407.352 225.928 734.463 13 1999 4.24242 0.8273 1.1187 392.943 217.936 708.483 14 1998 3.7267 0.9321 1.2007 472.237 261.915 851.452 15 1997 2.8754 1.0213 1.125 640.944 355.484 1155.63 16 1996 1.31148 0.9282 1.2407 454.684 252.179 819.803 17 1995 2.19436 0.9323 1.2612 450.786 250.018 812.775 18 1994.7 2.47679 0.8994 1.1749 425.549 236.02 767.272 19 1994.3 5.6962 0.9402 1.0894 576.275 319.617 1039.03 20 1993 4.85437 0.9602 1.1023 394.485 218.792 711.263 21 1992 3.93939 0.8127 1.0427 384.769 213.403 693.745 22 1990 1.51515 0.7144 1.2149 461.658 256.047 832.378 23 1989 4.18006 0.8069 1.1418 545.331 302.455 983.241 24 1988 2.17391 0.8449 1.051 433.331 240.337 781.303 25 1987 1.23457 0.7933 1.2518 395.066 219.114 712.311 26 1986 1.88088 0.8133 1.114 460.299 255.294 829.927 27 1984 1.94806 0.911 1.1739 652.424 361.851 1176.33 28 1983 1.20846 0.7047 1.1884 422.289 234.212 761.395 29 1981 1.16618 0.6431 1.2113 431.052 239.073 777.194 30 1980 2.1021 0.774 1.1772 421.551 233.803 760.064 31 1979 0.643086 0.6688 1.2292 692.644 384.158 1248.85 32 1977 1.47929 0.5563 1.1292 365.974 202.979 659.858 33 1976 0.286533 0.5329 1.2811 390.095 216.357 703.348 34 1975 0.840336 0.6105 1.2644 533.568 295.931 962.033 35 1974 0 0.6621 1.3571 632.193 350.63 1139.86 36 1973 1.16959 0.5805 1.4539 458.775 254.448 827.179 37 1972 0 0.3154 1.4973 423.887 235.099 764.276 38 1971 0.775194 0.3384 1.3157 411.14 228.029 741.293 39 1970 0.288184 0.3617 1.4758 564.625 313.156 1018.03 40 1969 0.560224 0.6396 1.4948 581.634 322.589 1048.7 41 1968 0 0.3394 1.3781 392.844 217.881 708.305 42 1967 0 0.3158 1.2922 395.221 219.2 712.59 43 1966 0 0.247 1.3382 401.809 222.854 724.469 44 1965 1.32275 0.2849 1.3184 518.681 287.674 935.191 45 1963 0.297619 0.2921 1.2724 384.043 213 692.436 46 1962 0.576369 0.2999 1.3721 393.532 218.263 709.545 47 1961 0.239808 0.332 1.2879 393.115 218.032 708.793 48 1960 0.277778 0.484 1.5596 596.692 330.941 1075.85 49 1959 1.82927 0.7486 1.092 434.57 241.024 783.537 50 1957 0.304878 0.6389 1.2064 453.806 251.692 818.22 51 1956 1.97368 0.7672 1.0888 463.906 257.294 836.431 52 1955 3.08642 0.804 1.1331 558.072 309.521 1006.21 53 1953 2.589 0.5875 1.0922 346.992 192.451 625.633 54 1951 3.09598 0.6154 1.1301 393.795 218.409 710.019 55 1950 0.302115 0.4298 1.1867 414.324 229.795 747.034 56 1949 2.14724 0.7644 1.2816 630.014 349.422 1135.93 57 1947 1.74419 0.3923 1.1937 356.443 197.692 642.673 58 1945 0 0 1.3024 375.137 208.061 676.379 59 1944 0 0.092 1.3875 372.889 206.814 672.325 60 1942 0 0.268 1.3935 495.815 274.992 893.963 61 1940 0.923077 0.3296 1.2889 407.23 225.86 734.243 62 1939 0.289855 0.3011 1.3126 480.939 266.741 867.142 63 1937 0 0.1026 1.3738 433.591 240.481 781.772 64 1936 0 0.1996 1.3852 591.875 328.269 1067.16 65 1934 0 0.1245 1.4394 436.999 242.371 787.917 66 1933 1.17302 0.397 1.2781 449.014 249.035 809.58 67 1931 0 0.1083 1.3666 437.613 242.711 789.024 68 1930 0 0.0991 1.5884 594.717 329.845 1072.29 69 1929 0.271003 0.1444 1.4455 492.232 273.005 887.503 70 1927 0.514139 0.2907 1.4116 407.99 226.282 735.613 71 1926 0 0.473 1.3703 410.837 227.861 740.746 72 1925 0.58997 0.4298 1.4043 335.166 185.892 604.31 73 1924 0 0.2806 1.4539 214.857 119.165 387.391 74 1923 1.12045 0.3797 1.4098 343.337 190.424 619.043 75 1922 0 0.2334 1.3659 316.381 175.473 570.441 76 1921 1.19403 0.6 1.1739 452.127 250.761 815.193 77 1919 0.294985 0.0353 1.3223 362.602 201.108 653.778 78 1918 0.914634 0.3335 1.3956 284.381 157.725 512.744 79 1917 0.561798 0.4107 1.3054 456.962 253.443 823.911 80 1916 0.617284 0.5759 1.3203 503.315 279.151 907.486 81 1914 1.62867 0.7559 1.2088 591.725 328.186 1066.89 82 1913 0.854701 0.4014 1.3031 479.082 265.711 863.793 83 1912 1.19761 0.6809 1.3799 518.49 287.568 934.847 84 1910 0.613497 0.6844 1.427 660.906 366.555 1191.63 85 1909 0.890208 0.5212 1.2597 475.883 263.937 858.025 86 1907 0 0.2013 1.4065 418.196 231.942 754.015 87 1906 1.15607 0.3096 1.2794 374.844 207.898 675.85 88 1904 0.928793 0.7081 1.2525 446.19 247.468 804.488 89 1903 0.28169 0.2424 1.2925 404.176 224.166 728.736 90 1901 0.546448 0.3114 1.3333 480.264 266.367 865.925 91 1900 1.76471 0.2018 1.3229 438.198 243.036 790.079 92 1899 1.84615 0.5358 1.1701 515.561 285.943 929.566 93 1898 0 0.285 1.4625 429.121 238.002 773.713 94 1897 1.24611 0.3924 1.2543 370.246 205.348 667.56 95 1896 1.23457 0.2815 1.2387 419.633 232.739 756.606 96 1896 2.52366 0.6705 1.2261 426.756 236.69 769.449 97 1895 1.21212 0.3491 1.2945 367.291 203.709 662.232 98 1893 3.80952 0.7456 1.1097 465.811 258.351 839.865 99 1892 2.46914 0.6466 1.16 295.067 163.652 532.011 100 1891 2.48447 0.7395 1.1968 524.904 291.125 946.411 101 1889 2.47678 0.5574 1.1361 434 240.708 782.51 102 1888 1.52439 0.6483 1.2839 438.904 243.427 791.352 103 1886 0.557103 0.3941 1.2702 464.066 257.383 836.719 104 1884 1.17647 0.2833 1.1833 511.387 283.628 922.04 105 1882 26.1007 1.2131 0.6384 418.312 232.007 754.224 106 1879 0 0.3452 1.3183 428.223 237.503 772.094 107 1876 1.7094 0.548 1.192 506.431 280.88 913.104 108 1873 2.87357 0.704 1.0426 585.248 324.594 1055.21 109 1870 0.58651 0.5331 1.1752 505.336 280.272 911.13 110 1866 2.6393 0.3692 1.149 522.601 289.848 942.259 111 1862 1.88088 0.4526 1.1938 471.216 261.349 849.611 112 1858 3.42857 0.6419 1.0811 419.122 232.456 755.684 113 1853 14.9206 0.9599 0.705 454.894 252.296 820.182 114 1848 7.71606 0.8666 1.028 477.013 264.564 860.063 115 1843 13.4615 0.9774 0.7368 412.392 228.723 743.55 116 1837 13.4615 0.9736 0.8071 455.806 252.802 821.826 117 1832 12.6471 0.9161 0.8427 523.263 290.215 943.452 118 1826 22.6415 1.3639 0.7199 411.898 228.449 742.659 119 1820 22.6416 1.1972 0.6687 432.763 240.021 780.279 120 1813 1.07527 0.2689 1.3425 429.368 238.139 774.158 121 1812.8 20.1864 1.1903 0.7299 580.056 321.714 1045.85 122 1812.6 19.3146 1.2543 0.7579 431.032 239.061 777.158 123 1812.4 23.7942 1.2881 1.0211 467.391 259.227 842.714 124 1812.2 34.1935 1.3924 0.8011 420.504 233.222 758.176 125 1807 44.2724 1.5369 0.899 500.449 277.562 902.318 126 1800 46.7742 1.3388 0.6524 422.678 234.428 762.096 127 1793 21.9436 1.2138 0.7867 442.018 245.155 796.966 128 1786 32.9033 1.2852 0.6948 449.273 249.178 810.047 129 1779 39.6969 1.2983 0.7359 464.419 257.579 837.356 130 1771 27.044 1.2427 0.7663 439.592 243.809 792.592 131 1764 35.7143 1.3845 0.6903 427.947 237.35 771.596 132 1756 27.5747 1.3032 0.6116 450.63 249.931 812.494 133 1748 60.6812 1.5418 0.5357 439.896 243.978 793.14 134 1740 63.6086 1.5704 0.3962 383.857 212.897 692.101 135 1732 65.528 1.6342 0.3778 385.54 213.83 695.135 136 1723 79.1045 1.5746 0.4179 386.634 214.437 697.108 137 1715 72.4595 1.6058 0.4931 406.621 225.522 733.145 138 1707 83.7079 1.8293 0.3825 382.684 212.246 689.986 139 1698 81.3559 1.6744 0.2181 381.136 211.388 687.195 140 1690 86.0294 1.7606 0.3195 377.259 209.238 680.205 141 1681 84.4118 1.9621 0.1822 393.405 218.193 709.316 142 1672 82.4121 1.754 0.3747 370.314 205.386 667.683 143 1663 83.721 1.5371 0.3348 382.199 211.977 689.112 144 1655 89.8936 1.6871 0.3728 376.851 209.011 679.469 145 1646 89.8936 1.8122 0.1386 408.62 226.631 736.749 146 1637 75.8713 1.6954 0.344 368.748 204.517 664.859 147 1628 84.7411 1.7342 0.2527 374.697 207.817 675.585 148 1619 80.3077 1.7751 0.3506 358.286 198.715 645.996 149 1611 69.1558 1.6637 0.6152 397.732 220.592 717.118 150 1602 63.871 1.6715 0.5753 370.749 205.627 668.467 151 1593 57.7288 1.7203 0.4583 368.706 204.494 664.783 152 1584 62.069 1.6219 0.4951 389 215.749 701.374 153 1576 68.8679 1.7349 0.5326 381.637 211.666 688.098 154 1567 81.5029 1.8659 0.3912 369.82 205.112 666.792 155 1559 68.9024 1.8469 0.5043 387.597 214.971 698.844 156 1550 54.4025 1.6613 0.443 409.487 227.112 738.312 157 1542 65.2174 1.7367 0.6063 390.904 216.805 704.807 158 1534 68.323 1.8748 0.3796 368.087 204.151 663.667 159 1525 70.6422 1.8671 0.4436 358.418 198.788 646.234 160 1517 62.2291 1.7807 0.3927 390.778 216.736 704.58 161 1509 68.2099 1.864 0.2473 363.187 201.433 654.833 162 1502 68.4848 2.0284 0.3278 357.396 198.221 644.391 163 1494 67.7419 1.8828 0.4137 325.979 180.796 587.746 164 1487 76.0806 1.9632 0.1241 344.279 190.946 620.741 165 1479 78.4091 2.0909 0.2512 327.16 181.451 589.875 166 1472 78.1407 2.0412 0.22 338.205 187.577 609.79 167 1465 81.039 2.0789 0.1383 340.212 188.69 613.408 168 1458 75.3886 1.9741 0.3374 350.607 194.456 632.151 169 1452 81.624 1.9785 0.0037 292.065 161.987 526.598 170 1446 81.3725 2.1023 0.0846 297.194 164.831 535.846 171 1440 75.8866 2.1253 0.0914 280.266 155.443 505.325 172 1435 79.2899 2.1399 0 293.927 163.019 529.956 173 1429 58.9147 2.0686 0.4073 337.482 187.176 608.486 174 1424 64.6277 2.1372 0.3821 354.756 196.757 639.631 175 1419 77.686 2.1862 0.2704 325.964 180.788 587.719 176 1414 78.1491 2.1738 0.2062 325.297 180.418 586.516 177 1410 68.0062 2.0795 0.5208 353.525 196.074 637.412 178 1405 62.7507 2.0966 0.6858 362.468 201.034 653.536 179 1400 57.4924 2.2757 0.5853 402.439 223.203 725.605 180 1394 48.688 2.3971 0.6896 450.267 249.73 811.839 181 1389 6.875 2.4551 1.293 561.681 311.523 1012.72 182 1383 8.30769 2.3719 1.1981 674.637 374.171 1216.38 183 1377 3.42679 2.49 1.2134 865.187 479.855 1559.95 184 1371 6.8323 2.4803 1.329 698.828 387.588 1260 185 1364 18.9873 2.4089 1.1407 610.056 338.353 1099.94 186 1356 33.1378 2.3747 0.8835 551.15 305.682 993.733 187 1348 15.1703 2.349 1.0408 697.445 386.821 1257.51 188 1340 22.4615 2.3289 0.9681 650.205 360.62 1172.33 189 1331 17.2308 2.2453 1.0433 613.197 340.095 1105.61 190 1321 16.0256 2.365 1.0872 733.905 407.043 1323.24 191 1311 7.30158 2.5315 1.1455 687.702 381.417 1239.94 192 1301 11.1455 2.4398 1.1761 719.316 398.951 1296.94 193 1291 8.02469 2.2501 1.2277 763.238 423.311 1376.13 194 1281 3.125 2.4287 1.3238 904.295 501.545 1630.46 195 1271 10.2484 2.4613 1.272 692.277 383.955 1248.19 196 1262 8.70871 2.5119 1.202 774.836 429.744 1397.04 197 1252 13.7931 2.3581 1.3753 668.544 370.792 1205.4 198 1243 15.1234 2.3759 1.3129 724.303 401.717 1305.93 199 1234 10.6452 2.343 1.4515 629.811 349.309 1135.56 200 1225 14.9837 2.302 1.4664 621.184 344.525 1120.01 201 1216 11.875 2.2592 1.7057 594.073 329.488 1071.12 202 1207 13.3758 2.192 1.6131 568.421 315.261 1024.87 203 1198 11.838 2.3431 1.3705 707.881 392.609 1276.32 204 1189 26.0318 2.2791 1.5168 472.857 262.259 852.57 205 1180 13.5464 2.1708 1.3601 586.557 325.32 1057.57 206 1171 8.22368 2.2169 1.6724 578.775 321.003 1043.54 207 1162 14.6497 2.321 1.6525 596.321 330.735 1075.18 208 1153 1.92926 2.3667 1.8654 486.318 269.724 876.84 209 1144 0.931677 2.4648 1.9838 623.677 345.907 1124.5 210 1135 0 2.5688 2.0168 628.652 348.667 1133.47 211 1126 0.943396 2.4485 2.0146 664.875 368.757 1198.78 212 1117 0.309598 2.2108 1.983 545.331 302.455 983.241 213 1108 1.93548 2.4917 2.0443 681.099 377.755 1228.03 214 1099 3.78549 2.2136 2.1524 664.997 368.824 1199 215 1090 2.22222 2.3998 2.364 702.425 389.583 1266.48 216 1081 4.49102 2.0252 2.2056 670.533 371.895 1208.98 217 1072 0.955413 1.9966 2.1266 615.29 341.256 1109.38