# Zabieniec Bog, Poland 14,000 Year Chironomid-Inferred July Temperature #----------------------------------------------------------------------- # 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/28418 # Description: NOAA Landing Page # Online_Resource: https://www1.ncdc.noaa.gov/pub/data/paleo/insecta/chironomidae/europe/poland/zabieniec2011cit.txt # Description: NOAA location of the template # # Original_Source_URL: # Description: # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Climate Reconstructions # # Dataset DOI: # # Parameter_Keywords: air temperature #-------------------- # Contribution_Date # Date: 2019-11-22 #-------------------- # File_Last_Modified_Date # Date: 2019-11-22 #-------------------- # Title # Study_Name: Zabieniec Bog, Poland 14,000 Year Chironomid-Inferred July Temperature #-------------------- # Investigators # Investigators: Plociennik, M.; Self, A.; Birks, H.J.B.; Brooks, S.J. #-------------------- # Description_Notes_and_Keywords # Description: Chironomid-inferred July temperature for Zabieniec Bog, Poland for the past 14,000 years. #-------------------- # Publication # Authors: Mateusz Plociennik, Angela Self, H. John B. Birks, Stephen J. Brooks # Published_Date_or_Year: 2011-07-01 # Published_Title: Chironomidae (Insecta: Diptera) succession in Zabieniec bog and its palaeo-lake (central Poland) through the Late Weichselian and Holocene # Journal_Name: Palaeogeography, Palaeoclimatology, Palaeoecology # Volume: 307 # Edition: # Issue: 1-4 # Pages: 150-167 # Report_Number: # DOI: 10.1016/j.palaeo.2011.05.010 # Online_Resource: https://www.sciencedirect.com/science/article/abs/pii/S0031018211002550 # Full_Citation: # Abstract: Subfossil Chironomidae assemblages were studied in a sediment sequence from Zabieniec bog in central Poland. The climate history and habitat changes in the palaeo-lake were reconstructed from these assemblages. Currently no chironomid-based climate calibration set is available from Poland and so past mean July air temperatures were inferred from chironomid-climate calibration data-sets from Norway, Russia, and Switzerland. During the Late Weichselian the three calibration functions from these data-sets provided similar temperature inferences but there was some divergence in the reconstructions for the Younger Dryas and Holocene. In the late Pleniglacial, inferred summer air temperature was relatively low (8-12 C) and the lake was oligotrophic. At about 16.5 ka BP, temperature rapidly rose to 15 C and assemblage diversity substantially increased. During the interstadial, temperature stayed at this level. In the Younger Dryas, July air temperature was only 1-2 C lower than in the interstadial, as inferred from the Norwegian calibration data-set, whereas the Russian and Swiss calibration functions did not indicate any temperature decrease. From the beginning of the Holocene, taxa typical of meso-eutrophic conditions dominated. There was an increased abundance of phytophilous species and the assemblage composition was also influenced by changes in water-level. Palaeotemperature reconstructions differed in their values. From 8.0 to 8.7 ka BP, inferences based on the Swiss and Russian data-sets indicated a cold oscillation while reconstructions based on the Norwegian data-set did not show any temperature decrease. After 2.5 ka BP assemblage diversity and head-capsule concentrations decreased. In the last millennium semi-terrestrial taxa dominated, except from Late Medieval to Early Modern times when shallow-water species reappeared. #------------------ # Publication # Authors: Tomi P. Luoto, Bartosz Kotrys, Mateusz Plociennik # Published_Date_or_Year: 2019-01-08 # Published_Title: East European chironomid-based calibration model for past summer temperature reconstructions # Journal_Name: Climate Research # Volume: 77 # Edition: # Issue: 1 # Pages: 63-76 # Report_Number: # DOI: 10.3354/cr01543 # Online_Resource: https://www.int-res.com/abstracts/cr/v77/n1/p63-76/ # Full_Citation: # Abstract: Understanding local patterns and large-scale processes in past climate necessitates a detailed network of temperature reconstructions. In this study, a merged temperature inference model using fossil chironomid (Diptera: Chironomidae) datasets from Finland and Poland was constructed to fill the lack of an applicable training set for East European sites. The developed weighted averaging partial least squares (WA-PLS) inference model showed favorable performance statistics, suggesting that the model can be useful for downcore reconstructions. The combined calibration model includes 212 sites, 142 taxa, and a temperature gradient of 11.3-20.1C. The 2-component WA-PLS model has a cross-validated coefficient of determination of 0.88 and a root mean squared prediction error of 0.88C. We tested the new East European temperature transfer function in chironomid stratigraphies from a Finnish high-resolution short-core sediment record and a Polish paleolake (Zabieniec) covering the past ~20000 yr. In the Finnish site, the chironomid-inferred temperatures correlated closely with the observed instrumental temperatures, showing improved accuracy compared to estimates by the original Finnish calibration model. In addition, the long-core reconstruction from the Polish site showed logical results in its general trends compared to existing knowledge on the past regional climate trends; however, it had distinct differences when compared with hemispheric climate oscillations. Hence, based on these findings, the new temperature model will enable more detailed examination of long-term temperature variability in Eastern Europe, and consequently, reliable identification of local and regional climate variability of the past. #------------------ # Funding_Agency # Funding_Agency_Name: Polish Ministry of Science and Higher Education # Grant: 2P04E02228 #------------------ # Funding_Agency # Funding_Agency_Name: European Union # Grant: SYNTHESYS grant GB-TAF-3830 #------------------ # Site_Information # Site_Name: Zabieniec Bog # Location: Europe>Eastern Europe>Poland # Country: Poland # Northernmost_Latitude: 51.85194 # Southernmost_Latitude: 51.85194 # Easternmost_Longitude: 19.781 # Westernmost_Longitude: 19.781 # Elevation: 180 #------------------ # Data_Collection # Collection_Name: ZabieniecZ2-2011CIT # Earliest_Year: 14068 # Most_Recent_Year: 701 # Time_Unit: Cal. year BP # Core_Length: 16.08 # Notes: #--------------------------------------- # Chronology_Information # Chronology: # The age-depth model below 1036 cm includes date Poz-23659 which seems to be too old. The date Poz-29713 was not included in the age-depth model although it is acceptable. # Date ID Original Date ID Top Depth of Date (cm) Bottom Depth of Date (cm) Date Type Date BP Uncertainty + plus Uncertainty - minus Include Y/N? Additional Notes # 1 NaN 0 0 Core top 0 (2005 AD) NaN NaN Y # 2 Poz-19 019 45 45 NaN 645 695 595 Y AMS # 3 Poz-17 117 62 62 NaN 1085 1115 1055 Y AMS # 4 Poz-17 116 120 120 NaN 1475 1510 1440 Y AMS # 5 Lod-1391 305 305 NaN 3010 3060 2960 Y bulk # 6 Lod-1390 375 375 NaN 3690 4740 3640 Y bulk # 7 Poz-23658 436 436 NaN 4580 4615 4545 Y AMS # 8 Poz-23638 531 531 NaN 6270 6310 6230 Y AMS # 9 Poz-23639 826 826 NaN 9130 9180 9080 Y AMS # 10 Poz-23640 1036 1036 NaN 11860 11920 11800 Y AMS # 11 Poz-23659 1290 1290 NaN 14120 14190 14050 NaN AMS # 12 Poz-29620 1355 1355 NaN 26240 26330 26150 N AMS # 13 Poz-29713 1535 1535 NaN 18330 18420 18240 Y AMS # #--------------------------------------- # 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) ## sampleID sample identification,,,,,climate reconstructions,,,N, ## origID sample identification,,,,,climate reconstructions,,,N,original sample identification ## depth depth,,,centimeter,,climate reconstructions,,,N, ## age age,,,calendar year BP,,climate reconstructions,,,N,calibrated radiocarbon years ## age_young age at sample end,,,calendar year BP,,climate reconstructions,,,N, ## age_old age at sample start,,,calendar year BP,,climate reconstructions,,,N, ## notes notes,,,,,climate reconstructions,,,C,depths for age ranges ## julT_sw air temperature,chironomid assemblage,,degree Celsius,Jul,climate reconstructions,,,N,WA-PLS; Swiss calibration dataset ## julT_swRMSE+ air temperature,chironomid assemblage,root mean square error,degree Celsius,Jul,climate reconstructions,,,N,WA-PLS; Swiss calibration dataset; RMSE prediction upper bound ## julT_swRMSE- air temperature,chironomid assemblage,root mean square error,degree Celsius,Jul,climate reconstructions,,,N,WA-PLS; Swiss calibration dataset; RMSE prediction lower bound ## julT_swRel notes,,,,,climate reconstructions,,,C,reliability of julT_sw; No or Yes ## julT_swNote notes,,,,,climate reconstructions,,,C,comment regarding reliability of julT_sw ## julT_nor air temperature,chironomid assemblage,,degree Celsius,Jul,climate reconstructions,,,N,WA-PLS; Norwegian calibration dataset ## julT_norRMSE+ air temperature,chironomid assemblage,root mean square error,degree Celsius,Jul,climate reconstructions,,,N,WA-PLS; Norwegian calibration dataset; RMSE prediction upper bound ## julT_norRMSE- air temperature,chironomid assemblage,root mean square error,degree Celsius,Jul,climate reconstructions,,,N,WA-PLS; Norwegian calibration dataset; RMSE prediction lower bound ## julT_norRel notes,,,,,climate reconstructions,,,C,reliability of julT_nor; No or Yes ## julT_norNote notes,,,,,climate reconstructions,,,C,comment regarding reliability of julT_nor ## julT_rus air temperature,chironomid assemblage,,degree Celsius,Jul,climate reconstructions,,,N,WA-PLS; Russian calibration dataset ## julT_rusRMSE+ air temperature,chironomid assemblage,root mean square error,degree Celsius,Jul,climate reconstructions,,,N,WA-PLS; Russian calibration dataset; RMSE prediction upper bound ## julT_rusRMSE- air temperature,chironomid assemblage,root mean square error,degree Celsius,Jul,climate reconstructions,,,N,WA-PLS; Russian calibration dataset; RMSE prediction lower bound ## julT_rusRel notes,,,,,climate reconstructions,,,C,reliability of julT_rus; No or Yes ## julT_rusNote notes,,,,,climate reconstructions,,,C,comment regarding reliability of julT_rus #------------------------ # Data: # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header # Missing Values: # sampleID origID depth age age_young age_old notes julT_sw julT_swRMSE+ julT_swRMSE- julT_swRel julT_swNote julT_nor julT_norRMSE+ julT_norRMSE- julT_norRel julT_norNote julT_rus julT_rusRMSE+ julT_rusRMSE- julT_rusRel julT_rusNote 1 1 1 0 N/A N/A N/A 13.88337377 15.27337377 12.49337377 N paludification 16.0934 17.1034 15.0834 N paludification but value looks to be in range of present and historical values 14.2715 15.1615 13.3815 N paludification 2 6 6 N/A N/A N/A N/A 14.294484 15.684484 12.904484 N paludification 17.3956 18.4056 16.3856 N paludification but value looks to be in range of present and historical values 13.5014 14.3914 12.6114 N paludification 3 11 11 N/A N/A N/A N/A 14.35682646 15.74682646 12.96682646 N paludification 17.3198 18.3298 16.3098 N paludification but value looks to be in range of present and historical values 11.2225 12.1125 10.3325 N paludification 4 16 16 N/A N/A N/A N/A 12.8017663 14.1917663 11.4117663 N paludification 16.4097 17.4197 15.3997 N paludification but value looks to be in range of present and historical values 9.81576 10.70576 8.92576 N paludification 5 21 21 N/A N/A N/A N/A 14.61145445 16.00145445 13.22145445 N paludification 17.9465 18.9565 16.9365 N paludification but value looks to be in range of present and historical values 9.73307 10.62307 8.84307 N paludification 6 26 26 N/A N/A N/A N/A 13.72459979 15.11459979 12.33459979 N paludification 14.5813 15.5913 13.5713 N paludification but value looks to be in range of present and historical values 12.0104 12.9004 11.1204 N paludification 7 31 31 N/A N/A N/A N/A 14.46584257 15.85584257 13.07584257 N paludification 14.2664 15.2764 13.2564 N paludification but value looks to be in range of present and historical values 13.1331 14.0231 12.2431 N paludification 8 36 36 N/A N/A N/A N/A 14.84125753 16.23125753 13.45125753 N paludification 14.8338 15.8438 13.8238 N paludification but value looks to be in range of present and historical values 14.0219 14.9119 13.1319 N paludification 9 41 41 N/A N/A N/A N/A 14.468282 15.858282 13.078282 N paludification 14.5401 15.5501 13.5301 N paludification but value looks to be in range of present and historical values 13.8499 14.7399 12.9599 N paludification 10 46 46 701.7407 N/A N/A N/A 13.30821596 14.69821596 11.91821596 N paludification 16.2267 17.2367 15.2167 N paludification but value looks to be in range of present and historical values 11.3701 12.2601 10.4801 N paludification 11 53.5 53.5 913.3412 858.8238 980.2703 51 - 56 cm 11.47799884 12.86799884 10.08799884 N paludification 15.5889 16.5989 14.5789 N paludification but value looks to be in range of present and historical values 9.65959 10.54959 8.76959 N paludification 12 70.3 70.3 1114.91404 1038.21388 1166.06819 61 cm - 69 cm - 81 cm 12.17704953 13.56704953 10.78704953 N paludification 16.114 17.124 15.104 N paludification but value looks to be in range of present and historical values 7.76299 8.65299 6.87299 N paludification 13 91 91 1230.02823 N/A N/A N/A 12.12931426 13.51931426 10.73931426 N paludification 16.3967 17.4067 15.3867 N paludification but value looks to be in range of present and historical values 8.934 9.824 8.044 N paludification 14 106 106 1326.10528 1294.06838 1358.06417 101-111 cm 14.653802 16.043802 13.263802 N paludification 15.9691 16.9791 14.9591 N paludification but value looks to be in range of present and historical values 9.92199 10.81199 9.03199 N paludification 15 126 126 1474.18184 1423.39469 1529.14158 121-131 cm 15.04436813 16.43436813 13.65436813 Y N/A 15.3473 16.3573 14.3373 Y N/A 12.3613 13.2513 11.4713 Y N/A 16 146 146 1684.63241 1632.81441 1736.39891 141-151 cm 16.20017823 17.59017823 14.81017823 Y N/A 14.6649 15.6749 13.6549 Y N/A 13.1518 14.0418 12.2618 Y N/A 17 161 161 1839.785 N/A N/A N/A 16.78028549 18.17028549 15.39028549 Y N/A 14.5276 15.5376 13.5176 Y N/A 15.264 16.154 14.374 Y N/A 18 171 171 1943.20227 N/A N/A N/A 17.60703971 18.99703971 16.21703971 Y N/A 14.5286 15.5386 13.5186 Y N/A 13.6963 14.5863 12.8063 Y N/A 19 181 181 2046.792489 N/A N/A N/A 16.35941878 17.74941878 14.96941878 Y N/A 14.3672 15.3772 13.3572 Y N/A 14.3229 15.2129 13.4329 Y N/A 20 191 191 2150.39621 N/A N/A N/A 15.56615911 16.95615911 14.17615911 Y N/A 15.1548 16.1648 14.1448 Y N/A 14.4665 15.3565 13.5765 Y N/A 21 201 201 2253.94423 N/A N/A N/A 17.48792576 18.87792576 16.09792576 Y N/A 13.4052 14.4152 12.3952 Y N/A 14.1906 15.0806 13.3006 Y N/A 22 211 211 2357.41477 N/A N/A N/A 16.62470734 18.01470734 15.23470734 Y N/A 15.31 16.32 14.3 Y N/A 14.7071 15.5971 13.8171 Y N/A 23 221 221 2460.75325 N/A N/A N/A 16.37648232 17.76648232 14.98648232 Y N/A 14.4171 15.4271 13.4071 Y N/A 14.2629 15.1529 13.3729 Y N/A 24 231 231 2564.07384 N/A N/A N/A 16.76581386 18.15581386 15.37581386 Y N/A 14.6139 15.6239 13.6039 Y N/A 13.6497 14.5397 12.7597 Y N/A 25 241 241 2667.41728 N/A N/A N/A 15.63865592 17.02865592 14.24865592 Y N/A 15.1665 16.1765 14.1565 Y N/A 15.7608 16.6508 14.8708 Y N/A 26 251 251 2770.76297 N/A N/A N/A 16.04421518 17.43421518 14.65421518 Y N/A 14.9069 15.9169 13.8969 Y N/A 14.2085 15.0985 13.3185 Y N/A 27 261 261 2874.02201 N/A N/A N/A 16.37274203 17.76274203 14.98274203 Y N/A 13.9267 14.9367 12.9167 Y N/A 15.1587 16.0487 14.2687 Y N/A 28 271 271 2977.13578 N/A N/A N/A 15.22918894 16.61918894 13.83918894 Y N/A 15.0604 16.0704 14.0504 Y N/A 15.2541 16.1441 14.3641 Y N/A 29 281 281 3080.2039 N/A N/A N/A 14.90327255 16.29327255 13.51327255 Y N/A 15.0145 16.0245 14.0045 Y N/A 15.2335 16.1235 14.3435 Y N/A 30 291 291 3183.262 N/A N/A N/A 14.76535319 16.15535319 13.37535319 Y N/A 15.1576 16.1676 14.1476 Y N/A 14.9282 15.8182 14.0382 Y N/A 31 301 301 3286.2633 N/A N/A N/A 15.33902929 16.72902929 13.94902929 Y N/A 14.5367 15.5467 13.5267 Y N/A 15.9867 16.8767 15.0967 Y N/A 32 311 311 3392.9216 N/A N/A N/A 17.33353092 18.72353092 15.94353092 Y N/A 15.6447 16.6547 14.6347 Y N/A 15.8749 16.7649 14.9849 Y N/A 33 321 321 3504.1383 N/A N/A N/A 15.42487603 16.81487603 14.03487603 Y N/A 14.7502 15.7602 13.7402 Y N/A 14.7772 15.6672 13.8872 Y N/A 34 331 331 3614.0336 N/A N/A N/A 15.22219687 16.61219687 13.83219687 Y N/A 14.9908 16.0008 13.9808 Y N/A 14.5963 15.4863 13.7063 Y N/A 35 341 341 3724.0402 N/A N/A N/A 15.96314876 17.35314876 14.57314876 Y N/A 15.5793 16.5893 14.5693 Y N/A 13.9345 14.8245 13.0445 Y N/A 36 351 351 3834.1725 N/A N/A N/A 15.1611301 16.5511301 13.7711301 Y N/A 15.3661 16.3761 14.3561 Y N/A 13.6843 14.5743 12.7943 Y N/A 37 361 361 3944.3262 N/A N/A N/A 17.39079333 18.78079333 16.00079333 Y N/A 14.7309 15.7409 13.7209 Y N/A 17.3525 18.2425 16.4625 Y N/A 38 371 371 4048.7788 N/A N/A N/A 17.22193614 18.61193614 15.83193614 Y N/A 14.7461 15.7561 13.7361 Y N/A 15.6305 16.5205 14.7405 Y N/A 39 381 381 4211.5152 N/A N/A N/A 15.99687031 17.38687031 14.60687031 Y N/A 15.4912 16.5012 14.4812 Y N/A 16.0172 16.9072 15.1272 Y N/A 40 391 391 4415.4649 N/A N/A N/A 15.69722232 17.08722232 14.30722232 Y N/A 13.0023 14.0123 11.9923 Y N/A 15.7638 16.6538 14.8738 Y N/A 41 401 401 4613.8599 N/A N/A N/A 16.0998855 17.4898855 14.7098855 Y N/A 13.5716 14.5816 12.5616 Y N/A 15.728 16.618 14.838 Y N/A 42 411 411 4812.2289 N/A N/A N/A 16.58458622 17.97458622 15.19458622 Y N/A 15.1845 16.1945 14.1745 Y N/A 16.8215 17.7115 15.9315 Y N/A 43 421 421 5010.578 N/A N/A N/A 16.17076902 17.56076902 14.78076902 Y N/A 13.4012 14.4112 12.3912 Y N/A 15.4941 16.3841 14.6041 Y N/A 44 431 431 5208.6375 N/A N/A N/A 16.47364315 17.86364315 15.08364315 Y N/A 14.359 15.369 13.349 Y N/A 16.7617 17.6517 15.8717 Y N/A 45 441 441 5408.5678 N/A N/A N/A 16.35721497 17.74721497 14.96721497 Y N/A 14.1003 15.1103 13.0903 Y N/A 16.0856 16.9756 15.1956 Y N/A 46 451 451 5611.5049 N/A N/A N/A 16.71844629 18.10844629 15.32844629 Y N/A 14.3654 15.3754 13.3554 Y N/A 15.9044 16.7944 15.0144 Y N/A 47 461 461 5814.2681 N/A N/A N/A 17.06923207 18.45923207 15.67923207 Y N/A 13.0516 14.0616 12.0416 Y N/A 14.9204 15.8104 14.0304 Y N/A 48 471 471 6016.9311 N/A N/A N/A 16.09190465 17.48190465 14.70190465 Y N/A 15.1547 16.1647 14.1447 Y N/A 14.4613 15.3513 13.5713 Y N/A 49 481 481 6219.3184 N/A N/A N/A 15.87053621 17.26053621 14.48053621 Y N/A 14.9736 15.9836 13.9636 Y N/A 16.0079 16.8979 15.1179 Y N/A 50 491 491 6421.6143 N/A N/A N/A 16.26380547 17.65380547 14.87380547 Y N/A 14.3252 15.3352 13.3152 Y N/A 16.0778 16.9678 15.1878 Y N/A 51 501 501 6624.1033 N/A N/A N/A 15.08709976 16.47709976 13.69709976 Y N/A 12.9843 13.9943 11.9743 Y N/A 15.2732 16.1632 14.3832 Y N/A 52 511 511 6826.7808 N/A N/A N/A 15.93128467 17.32128467 14.54128467 Y N/A 13.847 14.857 12.837 Y N/A 15.4607 16.3507 14.5707 Y N/A 53 521 521 7031.597 N/A N/A N/A 15.9735833 17.3635833 14.5835833 Y N/A 13.759 14.769 12.749 Y N/A 16.1315 17.0215 15.2415 Y N/A 54 531 531 7232.7 N/A N/A N/A 15.13491786 16.52491786 13.74491786 Y N/A 12.5717 13.5817 11.5617 Y N/A 15.7582 16.6482 14.8682 Y N/A 55 541 541 7339.0659 N/A N/A N/A 14.75862915 16.14862915 13.36862915 Y N/A 12.0764 13.0864 11.0664 Y N/A 14.2196 15.1096 13.3296 Y N/A 56 551 551 7445.4414 N/A N/A N/A 16.96421534 18.35421534 15.57421534 Y N/A 13.4612 14.4712 12.4512 Y N/A 15.7572 16.6472 14.8672 Y N/A 57 561 561 7551.8485 N/A N/A N/A 16.77614901 18.16614901 15.38614901 Y N/A 13.329 14.339 12.319 Y N/A 16.0833 16.9733 15.1933 Y N/A 58 571 571 7658.255 N/A N/A N/A 16.1050323 17.4950323 14.7150323 Y N/A 15.4368 16.4468 14.4268 Y N/A 14.9557 15.8457 14.0657 Y N/A 59 581 581 7764.6564 N/A N/A N/A 16.36506455 17.75506455 14.97506455 Y N/A 14.5249 15.5349 13.5149 Y N/A 15.7996 16.6896 14.9096 Y N/A 60 591 591 7870.8358 N/A N/A N/A 15.59283515 16.98283515 14.20283515 Y N/A 16.2278 17.2378 15.2178 Y N/A 12.8203 13.7103 11.9303 Y N/A 61 611 611 8082.7374 7976.6595 8188.8859 601-621 cm 13.68947908 15.07947908 12.29947908 Y N/A 15.9559 16.9659 14.9459 Y N/A 10.229 11.119 9.339 Y N/A 62 641 641 8401.3155 N/A N/A N/A 15.37725673 16.76725673 13.98725673 Y N/A 15.7835 16.7935 14.7735 Y N/A 13.7252 14.6152 12.8352 Y N/A 63 661 661 8613.8844 N/A N/A N/A 13.5351302 14.9251302 12.1451302 Y N/A 16.4334 17.4434 15.4234 Y N/A 9.49224 10.38224 8.60224 Y N/A 64 681 681 8826.5905 N/A N/A N/A 14.00130291 15.39130291 12.61130291 Y N/A 15.4381 16.4481 14.4281 Y N/A 13.7991 14.6891 12.9091 Y N/A 65 701 701 9039.5528 N/A N/A N/A 15.05318317 16.44318317 13.66318317 Y N/A 14.8372 15.8472 13.8272 Y N/A 15.1202 16.0102 14.2302 Y N/A 66 721 721 9252.5362 N/A N/A N/A 16.72392654 18.11392654 15.33392654 Y N/A 16.6495 17.6595 15.6395 Y N/A 15.5477 16.4377 14.6577 Y N/A 67 741 741 9465.3606 N/A N/A N/A 16.45964868 17.84964868 15.06964868 Y N/A 16.14 17.15 15.13 Y N/A 15.5429 16.4329 14.6529 Y N/A 68 761 761 9678.1374 N/A N/A N/A 16.04957473 17.43957473 14.65957473 Y N/A 15.8659 16.8759 14.8559 Y N/A 15.7536 16.6436 14.8636 Y N/A 69 781 781 9891.1627 N/A N/A N/A 16.56782974 17.95782974 15.17782974 Y N/A 15.853 16.863 14.843 Y N/A 15.8199 16.7099 14.9299 Y N/A 70 801 801 10104.4104 N/A N/A N/A 15.14163318 16.53163318 13.75163318 Y N/A 14.882 15.892 13.872 Y N/A 14.5876 15.4776 13.6976 Y N/A 71 821 821 10313.5956 N/A N/A N/A 13.95957376 15.34957376 12.56957376 Y N/A 13.3489 14.3589 12.3389 Y N/A 15.2764 16.1664 14.3864 Y N/A 72 841 841 10612.3203 N/A N/A N/A 16.26138572 17.65138572 14.87138572 Y N/A 13.1675 14.1775 12.1575 Y N/A 16.1117 17.0017 15.2217 Y N/A 73 856 856 10855.158 N/A 10936.0204 851-861 cm 16.92340201 18.31340201 15.53340201 Y N/A 15.1599 16.1699 14.1499 Y N/A 16.1104 17.0004 15.2204 Y N/A 74 871 871 11097.706 N/A N/A N/A 16.20344719 17.59344719 14.81344719 Y N/A 14.0979 15.1079 13.0879 Y N/A 15.9707 16.8607 15.0807 Y N/A 75 881 881 11259.3621 N/A N/A N/A 17.08332334 18.47332334 15.69332334 Y N/A 12.5601 13.5701 11.5501 Y N/A 16.2463 17.1363 15.3563 Y N/A 76 891 891 11420.9693 N/A N/A N/A 16.91687148 18.30687148 15.52687148 Y N/A 13.5255 14.5355 12.5155 Y N/A 16.1251 17.0151 15.2351 Y N/A 77 901 901 11582.4279 N/A N/A N/A 16.46990408 17.85990408 15.07990408 Y N/A 12.2586 13.2686 11.2486 Y N/A 15.28 16.17 14.39 Y N/A 78 921 921 11904.2712 N/A N/A N/A 17.02391687 18.41391687 15.63391687 Y N/A 14.4251 15.4351 13.4151 Y N/A 15.9754 16.8654 15.0854 Y N/A 79 941 941 12226.839 N/A N/A N/A 15.74229101 17.13229101 14.35229101 Y N/A 12.1156 13.1256 11.1056 Y N/A 14.7342 15.6242 13.8442 Y N/A 80 961 961 12549.093 N/A N/A N/A 17.34906987 18.73906987 15.95906987 Y N/A 14.2177 15.2277 13.2077 Y N/A 16.4224 17.3124 15.5324 Y N/A 81 981 981 12872.276 N/A N/A N/A 14.92195483 16.31195483 13.53195483 Y N/A 12.7676 13.7776 11.7576 Y N/A 14.8872 15.7772 13.9972 Y N/A 82 1001 1001 13195.703 N/A N/A N/A 14.6944694 16.0844694 13.3044694 Y N/A 13.875 14.885 12.865 Y N/A 16.3334 17.2234 15.4434 Y N/A 83 1021 1021 13518.903 N/A N/A N/A 16.69441159 18.08441159 15.30441159 Y N/A 14.556 15.566 13.546 Y N/A 16.6173 17.5073 15.7273 Y N/A 84 1041 1041 13822.903 N/A N/A N/A 15.46210256 16.85210256 14.07210256 Y N/A 13.4629 14.4729 12.4529 Y N/A 15.4839 16.3739 14.5939 Y N/A 85 1061 1061 14068.949 N/A N/A N/A 15.96622062 17.35622062 14.57622062 Y N/A 13.2216 14.2316 12.2116 Y N/A 15.7631 16.6531 14.8731 Y N/A