# Comparison of published versus recalibrated age models for Lake Surprise, Victoria #----------------------------------------------------------------------- # World Data Service 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/21731 # Description: NOAA Landing Page # Online_Resource: http://www1.ncdc.noaa.gov/pub/data/paleo/pages2k/dixon2017australasia/dixon2017lakesurprise.txt # Description: NOAA location of the template # # # Archive: Diatom modern-analougue technique salinity reconstruction # # Parameter_Keywords: #--------------------------------------- # Contribution_Date # Date: 2017-12-11 #--------------------------------------- # File_Last_Modified_Date # Date: 2017-12-11 #--------------------------------------- # Title # Study_Name: Comparison of published versus recalibrated age models for Lake Surprise, Victoria #--------------------------------------- # Investigators # Investigators: Dixon, Bronwyn C.; Tyler, Jonathan J.; Lorrey, Andrew M; Goodwin, Ian D; Gergis, Joelle; Drysdale, Russell N #--------------------------------------- # Description_Notes_and_Keywords # Description: # Provided Keywords: age modelling, Bayesian # 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: Dixon, Bronwyn C.; Tyler, Jonathan J.; Lorrey, Andrew M; Goodwin, Ian D; Gergis, Joelle; Drysdale, Russell N # Published_Date_or_Year: 2017 # Published_Title: Low-resolution Australasian palaeoclimate records of the last 2000 years # Journal_Name: Climate of the Past # Volume: # Edition: # Issue: # Pages: # Report Number: # DOI: # Online_Resource: # Full_Citation: # Abstract: Non-annually resolved palaeoclimate records in the Australasian region were compiled to facilitate investigations of decadal to centennial climate variability over the past 2000 years. A total of 661 lake/wetland, geomorphic, marine, and speleothem records were identified and then assessed against a set of a priori criteria based on temporal resolution, record length, dating methods, and confidence of the proxy-climate relationship over the Common Era. A high quality subset of 22 records across Australasia met the criteria and they are endorsed for subsequent analyses. New chronologies based on progressive Bayesian techniques were constructed for the high quality records to ensure a consistent approach to age modelling and quantification of age uncertainties. Chronological uncertainty was the primary reason why records did not meet the selection criteria. Despite present limitations, existing proxies and reconstruction techniques that successfully capture climate variability in the region show potential to address spatial gaps and expand the range of climate variables covering the last 2000 years from the Australasian region. #--------------------------------------- # Publication # Authors: Barr, Cameron; Tibby, John; Gell, Peter; Tyler, Jonathan; Zawadzki, Atun; Jacobson, Geraldine # Published_Date_or_Year: 2014 # Published_Title: Climate variability in south-eastern Australia over the past 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: http://dx.doi.org/10.1016/j.quascirev.2014.05.001 # Online_Resource: # Full_Citation: Barr, C., Tibby, J., Gell, P., Tyler, J., Zawadzki, A. & Jacobsen, G. E. 2014. Climate variability in south-eastern Australia over the last 1500 years inferred from the high-resolution diatom records of two crater lakes. Quaternary Science Reviews, 95, 115-131. # 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. #--------------------------------------- # Funding_Agency # Funding_Agency_Name: # Grant: #--------------------------------------- # Site Information # Site_Name: Lake Surprise # Location: # Country: # Northernmost_Latitude: -38.06 # Southernmost_Latitude: -38.06 # Easternmost_Longitude: 141.92 # Westernmost_Longitude: 141.92 # Elevation: 98 #--------------------------------------- # Data_Collection # Collection_Name: LSFS # First_Year: 155.5 # Last_Year: -53 # Time_Unit: cal yr BP # Core_Length: 110 # Notes: Composite Lake Surprise record (total 341 samples) developed via extrapolation of age-depth models for both cores (suggesting a 3 cm gap between cores) and comparisons of the relative abudances of key diatom taxa. #--------------------------------------- # Chronology_Information # Chronology: # # Lake Surprise # 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 # 2-sigma error of cal age (years) # cal_age_range_old (bp) # cal_age_range_young (2_s) # depth (mm) # thickness (mm) # notes Reservoir correction 424 +/- 74 years Reservoir correction 424 +/- 74 years Reservoir correction 424 +/- 74 years Reservoir correction 424 +/- 74 years Reservoir correction 424 +/- 74 years Reservoir correction 424 +/- 74 years Reservoir correction 424 +/- 74 years # # 210Pb Dates # Lake Surprise # 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 # Data in italics are extrapolated # #--------------------------------------- # 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,NA,,cm,NA,NA,,NA,N ## PublishedAge_YBP ,Ages from original record publication,NA,,years before present (present=1950CE),NA,NA,,NA,N ## BACON0.05CI ,5% confidence interval age as calculated in BACON age modelling software,NA,,years before present (present=1950CE),NA,NA,,NA,N ## BACON0.95CI ,95% confidence interval age as calculated in BACON age modelling software,NA,,years before present (present=1950CE),NA,NA,,NA,N ## BACONmedian ,median sample age as calculated in BACON age modelling software,NA,,years before present (present=1950CE),NA,NA,,NA,N ## BACONwmean ,weighted mean age as calculated in BACON age modelling software,NA,,years before present (present=1950CE),NA,NA,,NA,N ## Conductivity ,Reconstructed conductivity,Diatom,,uS/cm,NA,Diatom,,Modern Analogue Technique,N ## MAT MinDC ,Minimum Dissimilarity between estimated salinity and closest modern analogue,Diatom,,NA,NA,Diatom,Samples with minimum dissimilarity coefficient greater/equal to highest 10th percentile (131.493) are considered to have good modern analogues,Modern Analogue Technique,N #------------------------ # Data # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header # Missing Value: NA Depth_cm PublishedAge_YBP BACON0.05CI BACON0.95CI BACONmedian BACONwmean Conductivity (uS/cm) MAT MinDC (minimum dissimilarity) 1 -54 -54 -50 -52 -52 4693.210137 81.7784 2 -52 -53 -48 -51 -51 5421.75639 72.2507 3 -50 -52 -48 -50 -50 5025.045517 81.9037 4 -48 -51 -47 -49 -49 4568.251442 80.0329 5 -46.5 -49 -44 -47 -47 5607.251038 72.942 6 -45 -49 -40 -45 -45 4869.114642 71.0124 7 -43 -47 -39 -43 -43 5712.023691 78.0698 8 -41 -46 -36 -41 -41 5295.171127 79.6787 9 -39.5 -44 -36 -39 -39 5536.43238 75.0217 10 -38 -42 -34 -37 -37 5444.399683 78.7565 11 -36 -38 -33 -35 -35 4832.368003 78.3226 12 -34 -37 -29 -34 -33 4188.90007 76.9968 13 -32.5 -35 -27 -32 -31 4379.958544 77.689 14 -31 -35 -23 -30 -29 4145.147605 72.1962 15 -29 -33 -21 -28 -27 4525.223148 82.3824 16 -27.5 -32 -19 -25 -25 3749.557345 79.4856 17 -26 -30 -18 -23 -23 3782.944763 81.7584 18 -24 -28 -16 -21 -22 3198.747799 73.8582 19 -22.5 -24 -16 -20 -20 2507.783266 74.429 20 -21 -22 -14 -17 -18 2244.657067 85.2235 21 -19 -19 -14 -16 -16 2826.70183 90.2964 22 -17.5 -17 -11 -14 -14 3110.426906 89.8925 23 -16 -16 -10 -13 -13 3012.728529 87.2905 24 -14.5 -16 -8 -12 -12 3652.161719 90.0932 25 -13 -15 -7 -11 -11 3178.922937 110.165 26 -11.5 -14 -5 -10 -9 4126.672463 89.366 27 -10 -12 -4 -8 -8 4308.637927 110.205 28 -8.5 -12 -3 -7 -7 3890.003571 103.836 29 -7 -9 -3 -6 -6 3896.099145 108.055 30 -5.5 -8 -2 -4 -5 4774.852936 112.644 31 -4 -6 -1 -3 -3 3493.172238 118.893 32 -2.5 -5 1 -2 -2 3549.441314 106.644 33 -1 -4 2 -1 -1 3107.062576 101.129 34 0.5 -3 5 0 0 3893.498395 112.272 35 1.5 -2 5 1 1 3306.815769 116.843 36 3 -2 7 3 3 2669.316064 104.412 37 4.5 0 8 4 4 3463.378846 100.823 38 6 1 9 5 5 3348.266364 104.294 39 7.5 2 10 6 6 3080.84607 95.5531 40 8.5 4 11 7 7 3925.726142 91.0381 41 10 6 11 9 9 2595.553589 98.8149 42 11.5 7 14 10 10 3649.387667 81.1238 43 13 9 16 12 12 3920.757663 90.2186 44 14.5 9 20 13 14 4014.578921 85.3761 45 16 11 21 15 16 3995.213569 75.7339 46 17.5 11 23 17 17 3698.196643 80.8174 47 19 13 24 19 19 3535.981629 86.4081 48 20.5 15 26 21 21 4167.254267 74.6291 49 21.5 18 27 23 23 4440.174108 87.1625 50 23 19 28 25 24 3829.217191 87.8514 51 24.5 23 29 26 26 3128.743786 90.6181 52 26 25 32 28 28 3378.625068 97.6137 53 27.5 26 34 30 30 3614.181845 98.9492 54 29 27 37 31 31 4050.699254 109.563 55 30.5 28 38 33 33 3554.67582 114.462 56 32 29 40 35 35 3382.127689 107.27 57 33.5 31 41 36 36 3192.93443 119.187 58 34.5 32 43 38 38 4632.975462 122.555 59 36 35 44 40 40 3067.114577 114.838 60 37.5 37 45 42 41 3018.352794 130.091 61 39 40 46 43 43 3011.549459 119.562 62 40.5 41 47 44 44 3267.457896 115.371 63 41.5 42 49 46 46 3815.926491 117.551 64 43 43 51 46 47 3750.075401 132.96 65 44.5 44 52 48 48 3530.043036 130.253 66 45.5 45 54 49 49 4016.890564 126.006 67 47 46 55 50 50 3351.96905 132.04 68 48.5 46 56 51 51 3597.659026 134.617 69 50 48 57 52 52 3531.425104 131.293 70 51.5 49 58 53 53 3863.136022 137.065 71 53 52 59 55 55 3901.75504 131.022 72 54.5 53 61 56 56 2928.599609 126.034 73 56 54 71 60 61 4120.595653 133.365 74 57.5 55 83 63 65 3524.844803 130.139 75 59 57 89 67 69 2722.45055 115.678 76 61 58 98 71 73 2568.443401 112.408 77 62.5 61 103 76 78 2030.43925 129.001 78 64 63 111 80 82 1530.981702 91.3208 79 66 66 116 85 87 1447.638084 94.2916 80 68 68 123 89 91 1709.897195 99.1737 81 70 71 128 93 95 1608.088699 91.0991 82 72 73 135 98 100 1300.588771 76.4779 83 74 77 140 103 104 1836.961271 83.6729 84 76 79 147 107 109 1688.107114 87.4028 85 78 83 152 111 113 1532.63945 82.1491 86 80.5 86 160 116 118 1675.830152 90.3252 87 83 90 165 121 123 2384.295066 96.6952 88 85.5 93 172 125 127 2073.91045 91.1338 89 88 97 176 130 132 1744.214932 93.6458 90 90.5 100 182 134 136 2003.59528 96.8104 91 93.5 104 188 139 141 2335.070515 98.7713 92 96 107 196 144 146 2114.073099 101.001 93 98.5 111 201 149 151 2743.405469 107.488 94 101.5 114 208 153 156 2609.03557 107.328 95 104.5 119 214 158 160 3040.114915 90.6847 96 107.5 122 220 163 165 3110.426906 100.135 97 110.5 126 226 167 170 3114.368514 95.4266 98 113.5 129 232 172 174 3039.205035 101.031 99 117 133 237 177 179 2817.669169 114.141 100 120.5 137 244 181 184 2755.180145 98.1546 101 123.5 142 249 186 189 2323.271688 97.3157 102 127 145 256 191 194 2674.915085 102.894 103 130.5 150 261 196 199 2024.790059 90.3619 104 133.5 153 268 201 203 2538.224314 99.1064 105 137 157 274 206 208 2890.613323 110.994 106 141 161 279 210 213 2824.034513 105.192 107 144.5 165 285 216 218 2576.202516 112.558 108 148 169 291 220 223 2510.094083 95.3618 109 152 174 296 225 228 2175.604758 99.0755 110 155.5 177 302 230 233 2481.018485 111.022 111 159 181 307 235 238 NA NA 112 163 185 312 240 243 NA NA 113 167 190 318 245 248 NA NA 114 171 194 323 250 253 3692.750792 93.0618 115 175 198 329 255 258 3959.041006 78.9622 116 179 201 334 260 263 2927.318652 94.6219 117 183 206 339 264 268 2960.124654 110.514 118 187 210 345 269 272 3070.789168 93.7305 119 191 215 351 274 277 3112.647925 92.4726 120 195 219 356 280 282 2335.178051 118.627 121 199.5 223 361 285 287 2103.003522 129.592 122 204 227 367 289 292 1810.964763 116.295 123 208 232 373 294 297 2019.99363 124.809 124 212.5 237 378 299 302 3654.348821 141.214 125 217 241 383 304 307 3647.959432 134.198 126 221 245 389 309 312 4446.926998 129.899 127 225.5 249 394 314 317 3571.001232 131.22 128 230 253 399 319 322 2415.127149 150.572 129 234.5 258 405 324 326 2757.528438 157.463 130 239 261 410 329 331 4165.143801 126.314 131 243.5 266 416 333 336 4032.73793 128.755 132 248.5 270 422 338 341 4980.466233 128.482 133 253 275 427 343 346 3957.309339 126.744 134 257.5 278 432 348 351 3822.346027 134.616 135 262.5 283 438 353 356 3401.652926 135.946 136 267 287 444 358 361 2995.43569 128.618 137 271.5 292 449 362 365 3040.464941 131.655 138 276.5 296 455 367 370 1042.125445 84.9031 139 281.5 301 460 372 375 709.3327308 39.3263 140 286.5 305 465 377 380 887.4624778 56.8107 141 291.5 310 470 382 385 3090.50891 112.289 142 296.5 314 477 387 390 4909.643973 114.723 143 301.5 319 481 392 395 5297.732188 123.322 144 306.5 323 487 397 400 4037.569397 132.682 145 311.5 328 492 402 405 4777.382342 133.299 146 316.5 332 498 407 410 4865.304206 127.935 147 321.5 337 502 411 415 4519.079692 131.391 148 326.5 341 507 416 420 4068.927953 139.861 149 331.5 346 513 421 425 3998.342562 139.66 150 336.5 350 518 426 430 3905.080582 142.693 151 341.5 355 523 431 434 3794.547555 144.553 152 347 359 529 436 439 3493.815764 150.843 153 352.5 364 534 441 444 4182.731625 160.268 154 357.5 368 539 446 449 3798.568828 163.074 155 362.5 372 545 451 454 4296.749153 150.513 156 368 377 551 456 459 4351.61034 115.271 157 373.5 382 556 461 464 4196.140294 135.401 158 378.5 386 561 466 469 4267.367055 151.097 159 384 392 566 471 474 4509.828222 142.393 160 389.5 395 571 476 479 4232.237198 122.197 161 394.5 401 576 481 484 4959.638242 115.64 162 400 405 583 486 489 5436.632788 128.54 163 405.5 411 588 491 494 6122.939948 134.399 164 411 415 593 496 499 5415.642653 143.854 165 416.5 420 598 501 503 5762.089504 150.679 166 422 424 605 506 508 2340.884575 149.714 167 427.5 429 609 511 513 3357.298837 142.772 168 433 434 615 515 518 4711.725706 131.813 169 438.5 438 620 520 523 3786.604965 111.343 170 444 442 625 526 528 3384.698586 114.213 171 449.5 448 629 530 533 3430.204403 108.034 172 455 453 635 535 538 2659.01018 105.924 173 461 457 640 540 543 3918.411118 96.4561 174 466.5 461 646 545 548 4894.068008 111.611 175 472 467 651 550 553 3400.948065 114.228 176 477.5 471 656 555 558 4794.242527 122.929 177 483 476 661 560 562 3866.339621 131.778 178 489 480 667 564 567 3477.042507 130.585 179 494.5 486 672 569 572 4188.032083 141.049 180 500 491 677 574 577 3453.106715 165.62 181 506 495 682 579 582 3987.493609 130.84 182 511.5 499 688 584 587 3800.668575 133.244 183 517 504 693 589 592 5318.387781 146.412 184 523 508 699 594 597 4221.239564 151.734 185 529 514 704 599 602 4146.675015 160.547 186 534.5 518 709 604 607 4293.880958 136.859 187 540 523 714 609 612 4109.698861 143.011 188 546 528 719 614 617 5521.155768 142.098 189 552 533 724 619 622 4010.05196 133.724 190 557.5 537 729 623 626 4628.070862 126.462 191 563 543 734 628 631 4555.751218 108.472 192 569 547 740 633 636 4965.694531 85.2289 193 575 552 744 638 641 4820.143858 94.75 194 580.5 556 749 643 646 3709.283264 100.882 195 586 562 755 648 651 4126.672463 95.0563 196 592 566 760 652 656 3664.966422 114.549 197 598 571 765 657 661 4185.621952 118.765 198 603.5 576 772 662 666 3604.873257 124.892 199 609 581 776 668 671 888.2802375 136.518 200 615 585 781 673 676 649.8303635 133.178 201 621 590 786 677 680 622.5009234 135.47 202 626.5 594 792 682 685 723.8023686 132.366 203 632 600 796 687 690 2356.40535 156.161 204 638 604 802 692 695 4557.220056 136.795 205 644 610 807 697 700 3974.294082 149.374 206 649.5 614 813 702 705 3596.002624 130.283 207 655 619 818 707 710 1375.434774 136.294 208 661 624 824 712 715 1368.642431 135.784 209 667 630 829 717 720 1340.478955 140.443 210 672.5 634 834 722 725 1306.291196 161.042 211 678 640 840 727 730 2357.002266 163.375 212 684 644 846 732 735 5051.844801 172.326 213 690 650 851 737 740 3826.837314 153.142 214 695.5 654 856 742 745 5892.369868 158.525 215 701 659 861 746 750 7917.535148 155.419 216 707 664 866 751 755 7418.908247 163.038 217 712.5 670 871 756 760 6131.828505 162.142 218 718 675 876 761 765 6080.509901 91.4992 219 724 680 881 766 770 3136.606225 90.2694 220 729.5 684 886 771 774 992.4988221 127.593 221 735 689 891 776 780 2976.870895 91.5698 222 741 693 896 781 784 1612.092658 114.326 223 746.5 697 901 786 790 736.7836842 143.36 224 752 701 906 791 795 2108.239762 110.343 225 757.5 706 911 796 800 4772.105101 84.3513 226 763 711 916 801 805 6619.116119 57.4397 227 769 716 920 806 810 6811.143025 64.5526 228 774.5 720 926 811 815 3079.073103 89.836 229 780 725 930 816 819 1236.573684 133.689 230 785.5 729 936 821 824 2852.528551 147.434 231 791 733 941 826 829 5987.010227 107.076 232 797 737 945 831 834 1960.469093 111.713 233 802.5 742 951 836 839 1741.887088 124.6 234 808 747 957 841 844 1380.861115 116.252 235 813.5 752 962 846 849 5698.623963 62.7635 236 819 756 967 851 854 7005.030007 60.7063 237 824.5 761 971 856 859 3536.470177 86.9852 238 830 766 976 861 864 1929.034523 110.327 239 835.5 770 981 866 869 1582.705093 110.212 240 841 775 986 871 874 738.1761342 133.096 241 846.5 780 991 876 879 996.1620667 128.582 242 852 784 997 881 884 1040.566883 122.694 243 857.5 789 1002 886 889 2333.941681 104.931 244 863 794 1008 891 894 5502.499351 80.8183 245 868.5 799 1012 896 899 5321.817778 87.313 246 874 803 1018 902 904 6034.06522 77.1804 247 879.5 808 1022 907 909 7173.646964 68.8884 248 884.5 812 1028 911 914 3574.70329 113.218 249 890 817 1033 916 919 1379.971128 146.022 250 895.5 821 1038 921 924 4170.229921 94.3435 251 901 826 1042 926 929 3989.238484 86.2994 252 906.5 830 1047 931 934 4700.672559 80.6236 253 912 834 1052 936 939 4192.373817 91.4255 254 917.5 839 1057 941 944 3272.728662 95.7438 255 922.5 843 1062 945 949 3760.53816 104.883 256 928 848 1068 950 954 7849.644707 46.1308 257 933.5 853 1073 956 958 6759.584478 55.539 258 939 857 1078 960 963 3967.893436 85.2293 259 944.5 862 1083 965 968 4943.448339 72.95 260 949.5 866 1088 970 973 2063.668808 112.37 261 955 871 1094 975 978 1460.393866 131.631 262 960.5 876 1098 980 983 1614.953418 125.503 263 965.5 880 1104 985 988 1584.345884 120.497 264 971 885 1110 990 993 1486.277831 114.678 265 976.5 890 1116 995 999 1838.484615 87.6558 266 981.5 894 1121 1000 1004 1942.450677 86.7615 267 987 899 1126 1005 1009 5528.279601 76.143 268 992.5 903 1131 1011 1014 4633.935665 84.4124 269 997.5 907 1136 1015 1019 4773.643694 82.9519 270 1003 911 1142 1020 1024 5677.668083 85.7165 271 1008.5 917 1147 1025 1029 4490.865001 76.4383 272 1013.5 921 1152 1030 1034 3281.028479 76.0095 273 1019 926 1158 1035 1039 4007.651972 76.3717 274 1024.5 930 1164 1040 1043 1615.176548 111.162 275 1029.5 936 1170 1045 1049 2984.48912 113.919 276 1035 940 1175 1051 1054 2900.414048 97.8261 277 1040.5 945 1180 1056 1059 2813.196057 102.978 278 1045.5 950 1185 1060 1064 1944.016739 115.316 279 1050.5 955 1189 1065 1069 991.425306 134.362 280 1056 960 1194 1070 1074 928.6669717 136.475 281 1061.5 965 1200 1075 1079 1081.732804 127.416 282 1066.5 969 1205 1080 1083 1486.346278 131.035 283 1072 974 1211 1085 1088 724.2691717 141.044 284 1077.5 979 1217 1091 1094 737.8362698 160.713 285 1082.5 983 1222 1096 1099 10529.06968 164.366 286 1087.5 988 1227 1101 1104 7178.769352 151.445 287 1093 993 1233 1106 1108 4714.981575 123.572 288 1098.5 997 1238 1111 1114 1946.34579 151.131 289 1103.5 1001 1243 1115 1118 3664.628881 152.964 290 1108.5 1006 1249 1121 1123 6459.66506 158.421 291 1114 1011 1253 1126 1128 10553.82771 166.668 292 1119.5 1016 1258 1131 1133 8538.272279 154.731 293 1124.5 1021 1263 1136 1139 2274.521257 138.979 294 1129.5 1025 1269 1141 1144 4957.697223 132.583 295 1135 1030 1274 1146 1149 5716.234016 141.13 296 1140.5 1035 1279 1151 1154 4219.879017 146.36 297 1145.5 1040 1285 1156 1159 703.2666128 152.115 298 1150.5 1045 1290 1161 1164 857.6893156 157.228 299 1156 1050 1295 1166 1169 979.1291944 162.633 300 1161.5 1055 1301 1171 1174 11843.77095 157.044 301 1166.5 1060 1306 1176 1179 5940.1854 146.499 302 1171.5 1064 1311 1181 1184 6506.089001 136.383 303 1177 1069 1315 1186 1189 7343.785782 123.572 304 1182.5 1073 1321 1191 1194 6684.978272 123.699 305 1187.5 1079 1327 1196 1199 5757.977984 107.376 306 1192.5 1083 1333 1201 1204 7838.085562 131.622 307 1197.5 1088 1338 1206 1209 4688.025874 92.131 308 1203 1092 1343 1211 1214 4953.589339 83.022 309 1208.5 1098 1347 1216 1219 4834.371267 86.8373 310 1213.5 1102 1353 1221 1224 5655.747341 120.578 311 1218.5 1108 1358 1226 1229 6084.991838 122.729 312 1223.5 1112 1363 1232 1234 2498.791385 119.51 313 1229 1117 1368 1237 1239 4735.436311 126.386 314 1234.5 1122 1373 1241 1244 7310.549128 119.994 315 1239.5 1126 1378 1246 1249 5846.016005 119.668 316 1244.5 1130 1384 1251 1254 6520.336361 109.226 317 1249.5 1135 1389 1256 1259 4124.962455 129.694 318 1255 1140 1395 1262 1264 5279.222909 162.546 319 1260.5 1145 1401 1266 1269 9896.918639 163.477 320 1265.5 1149 1406 1272 1274 6845.103198 109.162 321 1270.5 1155 1411 1277 1280 3976.85723 121.692 322 1275.5 1160 1417 1282 1285 7715.072295 127.384 323 1281 1165 1421 1287 1290 7494.454029 109.176 324 1286.5 1170 1427 1292 1295 3196.906981 98.9145 325 1291.5 1175 1432 1297 1300 890.1024573 119.881 326 1296.5 1180 1438 1301 1305 1330.515689 109.867 327 1301.5 1185 1443 1307 1310 1142.16803 111.218 328 1307 1189 1449 1312 1315 547.1041386 142.607 329 1312.5 1194 1454 1317 1320 526.453479 154.457 330 1317.5 1198 1459 1322 1325 714.0687051 154.205 331 1322.5 1203 1464 1327 1330 934.2863418 152.543 332 1327.5 1206 1469 1332 1335 1126.004173 134.131 333 1333 1211 1474 1337 1340 1508.412074 150.003 334 1338.5 1215 1480 1342 1345 3036.686788 162.397 335 1343.5 1220 1486 1347 1350 2416.629096 165.613 336 1348.5 1224 1492 1352 1355 4437.516695 169.97 337 1353.5 1229 1497 1357 1360 3573.386563 158.29 338 1359 1233 1504 1362 1366 1587.340145 158.831 339 1364.5 1237 1510 1367 1371 2077.973477 172.898 340 1369.5 1242 1517 1372 1376 742.1300206 170.089 341 1374.5 1246 1522 1377 1381 565.0150291 163.648 342 1379.5 1250 1528 1382 1386 1410.977213 166.012 343 1385 1254 1535 1387 1391 1833.49614 158.373 344 1390.5 1259 1540 1392 1396 1052.931213 140.23