# Southeast Australia 1,500 Year Crater Lake Salinity Reconstructions #----------------------------------------------------------------------- # World Data Service for Paleoclimatology, Boulder # and # NOAA Paleoclimatology Program # National Centers for Environmental Information (NCEI) #----------------------------------------------------------------------- # Template Version 3.0 # Encoding: UTF-8 # NOTE: Please cite Publication, and Online_Resource and date accessed when using these data. # If there is no publication information, please cite Investigators, Title, and Online_Resource and date accessed. # # Online_Resource: https://www.ncdc.noaa.gov/paleo/study/22432 # Description: NOAA Landing Page # Online_Resource: https://www1.ncdc.noaa.gov/pub/data/paleo/paleolimnology/australia/surprise2014.txt # Description: NOAA location of the template # # Original_Source_URL: # Description: # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Paleolimnology # # Dataset DOI: # # Parameter_Keywords: reconstruction #-------------------- # Contribution_Date # Date: 2017-07-10 #-------------------- # File_Last_Modified_Date # Date: 2017-07-10 #-------------------- # Title # Study_Name: Southeast Australia 1,500 Year Crater Lake Salinity Reconstructions #-------------------- # Investigators # Investigators: Barr, C.; Tibby, J.; Gell, P.; Tyler, J.; Zawadzki, A.; Jacobson, G.E. #-------------------- # Description_Notes_and_Keywords # Description: Diatom modern-analougue technique salinity reconstruction for 2 lakes in Victoria, southeast Australia, for the past 1,500 years. # Provided Keywords: Climate variability, diatoms, high-resolution, South-east Australia, Little Ice Age # # Percentiles of MinDC values MAT MinDC # 1 percentile 49.3841 # 2 percentile 67.8768 # 5 percentile 99.9695 # 10 percentile 131.493 # 20 percentile 163.58 # #-------------------- # Publication # Authors: Cameron Barr, John Tibby, Peter Gell, Jonathan Tyler, Atun Zawadzki, Geraldine E. Jacobson # Published_Date_or_Year: 2014-07-01 # Published_Title: Climate variability in south-eastern Australia over the last 1500 years inferred from the high-resolution diatom records of two crater lakes # Journal_Name: Quaternary Science Reviews # Volume: 95 # Edition: # Issue: # Pages: 115-131 # Report_Number: # DOI: 10.1016/j.quascirev.2014.05.001 # Online_Resource: http://www.sciencedirect.com/science/article/pii/S0277379114001644 # Full_Citation: # Abstract: Climates of the last two millennia have been the focus of numerous studies due to the availability of high-resolution palaeoclimate records and the occurrence of divergent periods of climate, commonly referred to as the 'Medieval Climatic Anomaly' and 'The Little Ice Age'. The majority of these studies are centred in the Northern Hemisphere and, in comparison, the Southern Hemisphere is relatively under-studied. In Australia, there are few high-resolution, palaeoclimate studies spanning a millennium or more and, consequently, knowledge of long-term natural climate variability is limited for much of the continent. South-eastern Australia, which recently experienced a severe, decade-long drought, is one such region. Results are presented of investigations from two crater lakes in the south-east of mainland Australia. Fluctuations in lake-water conductivity, a proxy for effective moisture, are reconstructed at sub-decadal resolution over the past 1500 years using a statistically robust, diatom-conductivity transfer function. These data are interpreted in conjunction with diatom autecology. The records display coherent patterns of change at centennial scale, signifying that both lakes responded to regional-scale climate forcing, though the nature of that response varied between sites due to differing lake morphometry. Both sites provide evidence for a multi-decadal drought, commencing ca 650 AD, and a period of variable climate between ca 850 and 1400 AD. From ca 1400-1880 AD, coincident with the timing of the 'Little Ice Age', climates of the region are characterised by high effective moisture and a marked reduction in inter-decadal variability. The records provide context for climates of the historical period and reveal the potential for more extreme droughts and more variable climate than that experienced since European settlement of the region ca 170 years ago. #------------------ # Publication # Authors: Jonathan J. Tyler, Keely Mills, Cameron Barr, J.M. Kale Sniderman, Peter A. Gell, David J. Karoly # Published_Date_or_Year: 2015-07-01 # Published_Title: Identifying coherent patterns of environmental change between multiple, multivariate records: an application to four 1000-year diatom records from Victoria, Australia # Journal_Name: Quaternary Science Reviews # Volume: 119 # Edition: # Issue: # Pages: 94-105 # Report_Number: # DOI: 10.1016/j.quascirev.2015.04.010 # Online_Resource: http://www.sciencedirect.com/science/article/pii/S0277379115001523 # Full_Citation: # Abstract: Empirical orthogonal functions (EOFs) of indirect archives of environmental change are increasingly used to identify coherent trends between palaeoclimate records, to separate externally forced patterns from locally driven idiosyncrasies. Lake sediments are particularly suited to such syntheses: they are abundant in most landscapes and record a wide array of information, yet local complexities often conceal or confuse the climate signal recorded at individual sites. Lake sediment parameters usually exhibit non-linear, multivariate and indirect responses to climate, therefore identifying coherent patterns between two or more lake records presents a complex challenge. Ideally, the selection of representative variables should be non-subjective and inclusive of as many different variables as possible, allowing for unexpected correlations between sites. In order to meet such demands, we propose a two-tier ordination procedure whereby site-specific (local) ordinations, obtained using Detrended Correspondence Analysis (DCA), are nested within a second, regional EOF. Using the local DCAs as representative variables allows the retention of a larger fraction of variance from each site, removes any subjectivity from variable selection and retains the potential for observing multiple, coherent signals from within and between each dataset. We explore this potential using four decadally resolved diatom records from volcanic lakes in Western Victoria, Australia. The records span the 1000 years prior to European settlement in CE 1803. Our analyses reveal at least two coherent patterns of ecological change that are manifest in each of the four datasets, patterns which may have been overlooked by a single-variable, empirical orthogonal function approach. This intra-site coherency provides a valuable step towards understanding multi-decadal hydroclimate variability in southeastern Australia. #------------------ # Funding_Agency # Funding_Agency_Name: Australian Nuclear Science Technology Organisation (ANSTO) # Grant: ANGRA04/056 #------------------ # Funding_Agency # Funding_Agency_Name: Australian Institute of Nuclear Science and Engineering (AINSE) # Grant: AINSTU0104, AINGRA04094 #------------------ # Site_Information # Site_Name: Lake Surprise # Location: Australia/New Zealand>Australia # Country: Australia # Northernmost_Latitude: -38.06 # Southernmost_Latitude: -38.06 # Easternmost_Longitude: 141.92 # Westernmost_Longitude: 141.92 # Elevation: 98 m #------------------ # Data_Collection # Collection_Name: Surprise2014 # Earliest_Year: 1390 # Most_Recent_Year: -54 # Time_Unit: Cal. year BP # Core_Length: # Notes: #------------------ # Chronology_Information # Chronology: # Composite Lake Surprise record (total 341 samples) developed via extrapolation of age-depth models for both cores (LSFS and LST1)) # (suggesting a 3 cm gap between cores) and comparisons of the relative abudances of key diatom taxa. # # # 14C dates # Lab ID OZI015 OZI016 OZI591 OZI017 OZI019 OZI020 OZI021 # Dated material Pollen Pollen Pollen Pollen Pollen Pollen Pollen # depth_bot (mm) 810 1050 1940 2180 2550 2810 3280 # depth_top (mm) 800 1040 1930 2170 2540 2800 3270 # age (bp) # age14C (bp) 570 700 1390 1300 1490 2030 1860 # age_error (years) 60 80 60 50 100 90 60 # calibrated age (cal BP) 1882 1813 NA 1237 1032 NA 648 # # Note: Reservoir correction 424 +/- 74 years applied to all samples # # 210Pb Dates # ANSTO Depth Cumulative dry mass Total 210Pb Supported 210Pb Unsupported 210Pb Dry bulk density Calculated CRS Ages Calculated CIC Ages # ID # (cm) (g cm-2) (Bq/kg) (Bq/kg) (Bq/kg) (g/cm3) (years before 2004) (years before 2004) # H663 0 – 3 1.41 ± 1.41 514.8 ± 13.5 2.1 ± 1.7 512.9 ± 13.6 0.94 2 ± 1 4 ± 4 # H664 3 – 5 3.78 ± 0.94 601.1 ± 17.6 2.3 ± 1.2 599.0 ± 17.6 0.95 5 ± 2 12 ± 3 # H665 10 – 12 10.45 ± 0.95 623.9 ± 17.4 3.0 ± 0.8 621.1 ± 17.4 0.95 19 ± 4 33 ± 4 # H666 20 – 22 20.11 ± 0.96 207.2 ± 8.9 4.6 ± 0.6 202.6 ± 8.9 0.98 38 ± 6 64 ± 7 # H667 30 – 32 30.02 ± 0.97 93.0 ± 2.9 3.2 ± 0.5 89.9 ± 3.0 1 51 ± 7 95 ± 10 # H668 40 – 42 39.87 ± 0.97 96.0 ± 3.1 4.2 ± 0.6 91.9 ± 3.2 0.97 63 ± 8 96 ± 10 # H669 50 – 52 49.58 ± 0.97 87.3 ± 2.8 2.8 ± 0.5 84.5 ± 2.9 0.98 80 ± 9 97 ± 10 # H670 60 – 62 59.12 ± 0.97 28.4 ± 1.4 2.2 ± 0.4 26.2 ± 1.4 0.93 97 ± 10 124 ± 12 # H671 70 – 72 68.38 ± 0.96 18.6 ± 0.9 2.7 ± 0.4 15.9 ± 1.0 0.92 108 ± 10 151 ± 16 # H672 80 – 82 77.90 ± 0.96 16.6 ± 0.9 2.3 ± 0.4 14.4 ± 1.0 0.98 119 ± 11 # H673 90 - 93 88.38 ± 1.45 19.3 ± 0.9 3.3 ± 0.5 16.0 ± 1.0 1.02 129 ± 12* # * extrapolated # #---------------- # Variables # # Data variables follow are preceded by "##" in columns one and two. # Data line variables format: one per line, shortname-tab-variable components (what, material, error, units, seasonality, data type,detail, method, C or N for Character or Numeric data, free text) # ## depth_cm depth, , , cm, , , , ,N, ## age_calBP age, , , calendar years before present, , , mean age vs 1950 CE, ,N, ## age_CE age, , , CE, , , , ,N, ## cond conductivity, sediment, , uS/cm, ,paleolimnology, ,reconstructed with Modern Analogue Technique,N, ## MATminDC Minimum Dissimilarity between estimated salinity and closest modern analogue, , , , ,paleolimnology, Samples with minimum dissimilarity coefficient greater/equal to highest 10th percentile (131.493) are considered to have good modern analogues, ,N, # #---------------- # Data: # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header # Missing Values: NA # depth_cm age_calBP age_CE cond MATminDC 1 -54 2004 4693.2101 81.7784 2 -52 2002 5421.7564 72.2507 3 -50 2000 5025.0455 81.9037 4 -48 1998 4568.2514 80.0329 5 -46.5 1996.5 5607.2510 72.9420 6 -45 1995 4869.1146 71.0124 7 -43 1993 5712.0237 78.0698 8 -41 1991 5295.1711 79.6787 9 -39.5 1989.5 5536.4324 75.0217 10 -38 1988 5444.3997 78.7565 11 -36 1986 4832.3680 78.3226 12 -34 1984 4188.9001 76.9968 13 -32.5 1982.5 4379.9585 77.6890 14 -31 1981 4145.1476 72.1962 15 -29 1979 4525.2231 82.3824 16 -27.5 1977.5 3749.5573 79.4856 17 -26 1976 3782.9448 81.7584 18 -24 1974 3198.7478 73.8582 19 -22.5 1972.5 2507.7833 74.4290 20 -21 1971 2244.6571 85.2235 21 -19 1969 2826.7018 90.2964 22 -17.5 1967.5 3110.4269 89.8925 23 -16 1966 3012.7285 87.2905 24 -14.5 1964.5 3652.1617 90.0932 25 -13 1963 3178.9229 110.1650 26 -11.5 1961.5 4126.6725 89.3660 27 -10 1960 4308.6379 110.2050 28 -8.5 1958.5 3890.0036 103.8360 29 -7 1957 3896.0991 108.0550 30 -5.5 1955.5 4774.8529 112.6440 31 -4 1954 3493.1722 118.8930 32 -2.5 1952.5 3549.4413 106.6440 33 -1 1951 3107.0626 101.1290 34 0.5 1949.5 3893.4984 112.2720 35 1.5 1948.5 3306.8158 116.8430 36 3 1947 2669.3161 104.4120 37 4.5 1945.5 3463.3788 100.8230 38 6 1944 3348.2664 104.2940 39 7.5 1942.5 3080.8461 95.5531 40 8.5 1941.5 3925.7261 91.0381 41 10 1940 2595.5536 98.8149 42 11.5 1938.5 3649.3877 81.1238 43 13 1937 3920.7577 90.2186 44 14.5 1935.5 4014.5789 85.3761 45 16 1934 3995.2136 75.7339 46 17.5 1932.5 3698.1966 80.8174 47 19 1931 3535.9816 86.4081 48 20.5 1929.5 4167.2543 74.6291 49 21.5 1928.5 4440.1741 87.1625 50 23 1927 3829.2172 87.8514 51 24.5 1925.5 3128.7438 90.6181 52 26 1924 3378.6251 97.6137 53 27.5 1922.5 3614.1818 98.9492 54 29 1921 4050.6993 109.5630 55 30.5 1919.5 3554.6758 114.4620 56 32 1918 3382.1277 107.2700 57 33.5 1916.5 3192.9344 119.1870 58 34.5 1915.5 4632.9755 122.5550 59 36 1914 3067.1146 114.8380 60 37.5 1912.5 3018.3528 130.0910 61 39 1911 3011.5495 119.5620 62 40.5 1909.5 3267.4579 115.3710 63 41.5 1908.5 3815.9265 117.5510 64 43 1907 3750.0754 132.9600 65 44.5 1905.5 3530.0430 130.2530 66 45.5 1904.5 4016.8906 126.0060 67 47 1903 3351.9691 132.0400 68 48.5 1901.5 3597.6590 134.6170 69 50 1900 3531.4251 131.2930 70 51.5 1898.5 3863.1360 137.0650 71 53 1897 3901.7550 131.0220 72 54.5 1895.5 2928.5996 126.0340 73 56 1894 4120.5957 133.3650 74 57.5 1892.5 3524.8448 130.1390 75 59 1891 2722.4506 115.6780 76 61 1889 2568.4434 112.4080 77 62.5 1887.5 2030.4393 129.0010 78 64 1886 1530.9817 91.3208 79 66 1884 1447.6381 94.2916 80 68 1882 1709.8972 99.1737 81 70 1880 1608.0887 91.0991 82 72 1878 1300.5888 76.4779 83 74 1876 1836.9613 83.6729 84 76 1874 1688.1071 87.4028 85 78 1872 1532.6395 82.1491 86 80.5 1869.5 1675.8302 90.3252 87 83 1867 2384.2951 96.6952 88 85.5 1864.5 2073.9105 91.1338 89 88 1862 1744.2149 93.6458 90 90.5 1859.5 2003.5953 96.8104 91 93.5 1856.5 2335.0705 98.7713 92 96 1854 2114.0731 101.0010 93 98.5 1851.5 2743.4055 107.4880 94 101.5 1848.5 2609.0356 107.3280 95 104.5 1845.5 3040.1149 90.6847 96 107.5 1842.5 3110.4269 100.1350 97 110.5 1839.5 3114.3685 95.4266 98 113.5 1836.5 3039.2050 101.0310 99 117 1833 2817.6692 114.1410 100 120.5 1829.5 2755.1801 98.1546 101 123.5 1826.5 2323.2717 97.3157 102 127 1823 2674.9151 102.8940 103 130.5 1819.5 2024.7901 90.3619 104 133.5 1816.5 2538.2243 99.1064 105 137 1813 2890.6133 110.9940 106 141 1809 2824.0345 105.1920 107 144.5 1805.5 2576.2025 112.5580 108 148 1802 2510.0941 95.3618 109 152 1798 2175.6048 99.0755 110 155.5 1794.5 2481.0185 111.0220 111 159 1791 NA NA 112 163 1787 NA NA 113 167 1783 NA NA 114 171 1779 3692.7508 93.0618 115 175 1775 3959.0410 78.9622 116 179 1771 2927.3187 94.6219 117 183 1767 2960.1247 110.5140 118 187 1763 3070.7892 93.7305 119 191 1759 3112.6479 92.4726 120 195 1755 2335.1781 118.6270 121 199.5 1750.5 2103.0035 129.5920 122 204 1746 1810.9648 116.2950 123 208 1742 2019.9936 124.8090 124 212.5 1737.5 3654.3488 141.2140 125 217 1733 3647.9594 134.1980 126 221 1729 4446.9270 129.8990 127 225.5 1724.5 3571.0012 131.2200 128 230 1720 2415.1271 150.5720 129 234.5 1715.5 2757.5284 157.4630 130 239 1711 4165.1438 126.3140 131 243.5 1706.5 4032.7379 128.7550 132 248.5 1701.5 4980.4662 128.4820 133 253 1697 3957.3093 126.7440 134 257.5 1692.5 3822.3460 134.6160 135 262.5 1687.5 3401.6529 135.9460 136 267 1683 2995.4357 128.6180 137 271.5 1678.5 3040.4649 131.6550 138 276.5 1673.5 1042.1254 84.9031 139 281.5 1668.5 709.3327 39.3263 140 286.5 1663.5 887.4625 56.8107 141 291.5 1658.5 3090.5089 112.2890 142 296.5 1653.5 4909.6440 114.7230 143 301.5 1648.5 5297.7322 123.3220 144 306.5 1643.5 4037.5694 132.6820 145 311.5 1638.5 4777.3823 133.2990 146 316.5 1633.5 4865.3042 127.9350 147 321.5 1628.5 4519.0797 131.3910 148 326.5 1623.5 4068.9280 139.8610 149 331.5 1618.5 3998.3426 139.6600 150 336.5 1613.5 3905.0806 142.6930 151 341.5 1608.5 3794.5476 144.5530 152 347 1603 3493.8158 150.8430 153 352.5 1597.5 4182.7316 160.2680 154 357.5 1592.5 3798.5688 163.0740 155 362.5 1587.5 4296.7492 150.5130 156 368 1582 4351.6103 115.2710 157 373.5 1576.5 4196.1403 135.4010 158 378.5 1571.5 4267.3671 151.0970 159 384 1566 4509.8282 142.3930 160 389.5 1560.5 4232.2372 122.1970 161 394.5 1555.5 4959.6382 115.6400 162 400 1550 5436.6328 128.5400 163 405.5 1544.5 6122.9399 134.3990 164 411 1539 5415.6427 143.8540 165 416.5 1533.5 5762.0895 150.6790 166 422 1528 2340.8846 149.7140 167 427.5 1522.5 3357.2988 142.7720 168 433 1517 4711.7257 131.8130 169 438.5 1511.5 3786.6050 111.3430 170 444 1506 3384.6986 114.2130 171 449.5 1500.5 3430.2044 108.0340 172 455 1495 2659.0102 105.9240 173 461 1489 3918.4111 96.4561 174 466.5 1483.5 4894.0680 111.6110 175 472 1478 3400.9481 114.2280 176 477.5 1472.5 4794.2425 122.9290 177 483 1467 3866.3396 131.7780 178 489 1461 3477.0425 130.5850 179 494.5 1455.5 4188.0321 141.0490 180 500 1450 3453.1067 165.6200 181 506 1444 3987.4936 130.8400 182 511.5 1438.5 3800.6686 133.2440 183 517 1433 5318.3878 146.4120 184 523 1427 4221.2396 151.7340 185 529 1421 4146.6750 160.5470 186 534.5 1415.5 4293.8810 136.8590 187 540 1410 4109.6989 143.0110 188 546 1404 5521.1558 142.0980 189 552 1398 4010.0520 133.7240 190 557.5 1392.5 4628.0709 126.4620 191 563 1387 4555.7512 108.4720 192 569 1381 4965.6945 85.2289 193 575 1375 4820.1439 94.7500 194 580.5 1369.5 3709.2833 100.8820 195 586 1364 4126.6725 95.0563 196 592 1358 3664.9664 114.5490 197 598 1352 4185.6220 118.7650 198 603.5 1346.5 3604.8733 124.8920 199 609 1341 888.2802 136.5180 200 615 1335 649.8304 133.1780 201 621 1329 622.5009 135.4700 202 626.5 1323.5 723.8024 132.3660 203 632 1318 2356.4054 156.1610 204 638 1312 4557.2201 136.7950 205 644 1306 3974.2941 149.3740 206 649.5 1300.5 3596.0026 130.2830 207 655 1295 1375.4348 136.2940 208 661 1289 1368.6424 135.7840 209 667 1283 1340.4790 140.4430 210 672.5 1277.5 1306.2912 161.0420 211 678 1272 2357.0023 163.3750 212 684 1266 5051.8448 172.3260 213 690 1260 3826.8373 153.1420 214 695.5 1254.5 5892.3699 158.5250 215 701 1249 7917.5351 155.4190 216 707 1243 7418.9082 163.0380 217 712.5 1237.5 6131.8285 162.1420 218 718 1232 6080.5099 91.4992 219 724 1226 3136.6062 90.2694 220 729.5 1220.5 992.4988 127.5930 221 735 1215 2976.8709 91.5698 222 741 1209 1612.0927 114.3260 223 746.5 1203.5 736.7837 143.3600 224 752 1198 2108.2398 110.3430 225 757.5 1192.5 4772.1051 84.3513 226 763 1187 6619.1161 57.4397 227 769 1181 6811.1430 64.5526 228 774.5 1175.5 3079.0731 89.8360 229 780 1170 1236.5737 133.6890 230 785.5 1164.5 2852.5286 147.4340 231 791 1159 5987.0102 107.0760 232 797 1153 1960.4691 111.7130 233 802.5 1147.5 1741.8871 124.6000 234 808 1142 1380.8611 116.2520 235 813.5 1136.5 5698.6240 62.7635 236 819 1131 7005.0300 60.7063 237 824.5 1125.5 3536.4702 86.9852 238 830 1120 1929.0345 110.3270 239 835.5 1114.5 1582.7051 110.2120 240 841 1109 738.1761 133.0960 241 846.5 1103.5 996.1621 128.5820 242 852 1098 1040.5669 122.6940 243 857.5 1092.5 2333.9417 104.9310 244 863 1087 5502.4994 80.8183 245 868.5 1081.5 5321.8178 87.3130 246 874 1076 6034.0652 77.1804 247 879.5 1070.5 7173.6470 68.8884 248 884.5 1065.5 3574.7033 113.2180 249 890 1060 1379.9711 146.0220 250 895.5 1054.5 4170.2299 94.3435 251 901 1049 3989.2385 86.2994 252 906.5 1043.5 4700.6726 80.6236 253 912 1038 4192.3738 91.4255 254 917.5 1032.5 3272.7287 95.7438 255 922.5 1027.5 3760.5382 104.8830 256 928 1022 7849.6447 46.1308 257 933.5 1016.5 6759.5845 55.5390 258 939 1011 3967.8934 85.2293 259 944.5 1005.5 4943.4483 72.9500 260 949.5 1000.5 2063.6688 112.3700 261 955 995 1460.3939 131.6310 262 960.5 989.5 1614.9534 125.5030 263 965.5 984.5 1584.3459 120.4970 264 971 979 1486.2778 114.6780 265 976.5 973.5 1838.4846 87.6558 266 981.5 968.5 1942.4507 86.7615 267 987 963 5528.2796 76.1430 268 992.5 957.5 4633.9357 84.4124 269 997.5 952.5 4773.6437 82.9519 270 1003 947 5677.6681 85.7165 271 1008.5 941.5 4490.8650 76.4383 272 1013.5 936.5 3281.0285 76.0095 273 1019 931 4007.6520 76.3717 274 1024.5 925.5 1615.1765 111.1620 275 1029.5 920.5 2984.4891 113.9190 276 1035 915 2900.4140 97.8261 277 1040.5 909.5 2813.1961 102.9780 278 1045.5 904.5 1944.0167 115.3160 279 1050.5 899.5 991.4253 134.3620 280 1056 894 928.6670 136.4750 281 1061.5 888.5 1081.7328 127.4160 282 1066.5 883.5 1486.3463 131.0350 283 1072 878 724.2692 141.0440 284 1077.5 872.5 737.8363 160.7130 285 1082.5 867.5 10529.0697 164.3660 286 1087.5 862.5 7178.7694 151.4450 287 1093 857 4714.9816 123.5720 288 1098.5 851.5 1946.3458 151.1310 289 1103.5 846.5 3664.6289 152.9640 290 1108.5 841.5 6459.6651 158.4210 291 1114 836 10553.8277 166.6680 292 1119.5 830.5 8538.2723 154.7310 293 1124.5 825.5 2274.5213 138.9790 294 1129.5 820.5 4957.6972 132.5830 295 1135 815 5716.2340 141.1300 296 1140.5 809.5 4219.8790 146.3600 297 1145.5 804.5 703.2666 152.1150 298 1150.5 799.5 857.6893 157.2280 299 1156 794 979.1292 162.6330 300 1161.5 788.5 11843.7710 157.0440 301 1166.5 783.5 5940.1854 146.4990 302 1171.5 778.5 6506.0890 136.3830 303 1177 773 7343.7858 123.5720 304 1182.5 767.5 6684.9783 123.6990 305 1187.5 762.5 5757.9780 107.3760 306 1192.5 757.5 7838.0856 131.6220 307 1197.5 752.5 4688.0259 92.1310 308 1203 747 4953.5893 83.0220 309 1208.5 741.5 4834.3713 86.8373 310 1213.5 736.5 5655.7473 120.5780 311 1218.5 731.5 6084.9918 122.7290 312 1223.5 726.5 2498.7914 119.5100 313 1229 721 4735.4363 126.3860 314 1234.5 715.5 7310.5491 119.9940 315 1239.5 710.5 5846.0160 119.6680 316 1244.5 705.5 6520.3364 109.2260 317 1249.5 700.5 4124.9625 129.6940 318 1255 695 5279.2229 162.5460 319 1260.5 689.5 9896.9186 163.4770 320 1265.5 684.5 6845.1032 109.1620 321 1270.5 679.5 3976.8572 121.6920 322 1275.5 674.5 7715.0723 127.3840 323 1281 669 7494.4540 109.1760 324 1286.5 663.5 3196.9070 98.9145 325 1291.5 658.5 890.1025 119.8810 326 1296.5 653.5 1330.5157 109.8670 327 1301.5 648.5 1142.1680 111.2180 328 1307 643 547.1041 142.6070 329 1312.5 637.5 526.4535 154.4570 330 1317.5 632.5 714.0687 154.2050 331 1322.5 627.5 934.2863 152.5430 332 1327.5 622.5 1126.0042 134.1310 333 1333 617 1508.4121 150.0030 334 1338.5 611.5 3036.6868 162.3970 335 1343.5 606.5 2416.6291 165.6130 336 1348.5 601.5 4437.5167 169.9700 337 1353.5 596.5 3573.3866 158.2900 338 1359 591 1587.3401 158.8310 339 1364.5 585.5 2077.9735 172.8980 340 1369.5 580.5 742.1300 170.0890 341 1374.5 575.5 565.0150 163.6480 342 1379.5 570.5 1410.9772 166.0120 343 1385 565 1833.4961 158.3730 344 1390.5 559.5 1052.9312 140.2300