# Lac Noir, Quebec 1,000 Year Pollen Data and Climate Reconstructions #----------------------------------------------------------------------- # World Data Center for Paleoclimatology, Boulder # and # NOAA Paleoclimatology Program #----------------------------------------------------------------------- # 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: http://ncdc.noaa.gov/paleo/study/18735 # # Original_Source_URL: ftp://ftp.ncdc.noaa.gov/pub/data/paleo/paleolimnology/northamerica/canada/pq/lacnoir2013pollen.txt # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Paleolimnology #-------------------- # Contribution_Date # Date: 2015-03-20 #-------------------- # Title # Study_Name: Lac Noir, Quebec 1,000 Year Pollen Data and Climate Reconstructions #-------------------- # Investigators # Investigators: Paquette, N.; Gajewski, K. #-------------------- # Description_and_Notes # Description: High-resolution (decadal scale) pollen and sediment physical properties record from Lac Noir, southwestern Quebec, # spanning the past 1,000 years. Chronology is based on varve counts except for the upper 6.5 cm, which is based on 210Pb. # To calculate the pollen percentages, use the basic sum, which is situated at the end of the pollen counts. Aquatics were # calculated separately, use the column named Aquatics and Basic sum to calculate aquatic %. To calculate pollen influx, # calculate (pollen concentration * interval thickness)/years per sample, situated beside the sums. The formulas for # calculating concentration and influx are also provided in the charcoal tab. # # Additional Reference: Paquette, N., 2012. # Climatic change causes abrupt shifts in forests, inferred from a high-resolution lacustrine record, Southwestern Quebec, Canada. # MSc, University of Ottawa, Ontario, Canada. # # Lac Noir Water Chemistry Data # Depth (m) temp (C) Conductivity (umHOS) pH DO (mg/L) Saturation level(DO) % DO # 0 21 72 8.2 8.6 8.9 96.63 # 2 17 72 8.3 9.65 86.01 # 4 12 60 8.2 10.76 76.21 # 6 7 60 5.8 12.12 47.85 # 8 6 58 3.5 12.43 28.16 # 10 5.4 58 1.2 12.6 9.52 # 12 4 0.7 13.09 5.35 # 14 3.9 0.4 13.09 3.06 # 16 4.1 6.9 0.5 13.09 3.82 # # #-------------------- # Publication # Authors: Nathalie Paquette, Konrad Gajewski # Published_Date_or_Year: 2013-09-01 # Published_Title: Climatic change causes abrupt changes in forest composition, inferred from a high-resolution pollen record, southwestern Quebec, Canada # Journal_Name: Quaternary Science Reviews # Volume: 75 # Edition: # Issue: # Pages: 169-180 # DOI: 10.1016/j.quascirev.2013.06.007 # Online_Resource: # Full_Citation: # Abstract: A pollen profile from a lake with varved sediments sampled at continuous 10-year intervals and spanning the past 1000 years was analyzed to understand the effects of climate change and anthropogenic activity on forests in southwestern Quebec. Pollen assemblages were dominated by arboreal taxa, primarily Pinus, Tsuga, Betula and Fagus. Between 990 and 1560 AD, pollen accumulation rates and percentages of hardwoods (Betula, Fagus, Acer, Ulmus, Tilia) and Tsuga were relatively high. At 1560 AD, PARs of many hardwood taxa (Fagus, Acer, Betula, Fraxinus, Ulmus) and Tsuga abruptly decreased, some remaining low for the remainder of the record (Tsuga, Fagus, Acer), but others increasing after 50 years (Betula, Fraxinus). An increase in non-arboreal pollen between 1810 and 2010 AD was caused by European settlement of the area. The transition in the pollen assemblages beginning at 1560 AD and a climate reconstruction based on these data shows an abrupt climate cooling had a significant impact on the pollen accumulation rates of the region within a couple of decades. A synthesis of this record with other high-resolution and well-dated pollen data from the conifer-hardwood forest of eastern North America shows consistent results across the whole area, indicating that very-high resolution pollen data can provide insight into multi-decadal climate variability and its impact on forest vegetation. #------------------ # Funding_Agency # Funding_Agency_Name: Natural Sciences and Engineering Research Council of Canada # Grant: Discovery Grant #------------------ # Site_Information # Site_Name: Lac Noir # Location: North America>Canada>Quebec # Country: Canada # Northernmost_Latitude: 45.7755 # Southernmost_Latitude: 45.7755 # Easternmost_Longitude: -75.1351 # Westernmost_Longitude: -75.1351 # Elevation: 176 m #------------------ # Data_Collection # Collection_Name: LacNoir2013pollen # Earliest_Year: 988 # Most_Recent_Year: 2007 # Time_Unit: AD # Core_Length: m # Notes: #------------------ # Chronology: # # Chronology is based on varve counts except for the upper 6.5 cm, which is based on 210Pb. # # Table 1 # Pb-210 Activity and estimated age of sediments from Lac Noir, Quebec. Age was # estimated with a linear regression model. Cs-137 peak occurs at 11.5 cm, maximum # Cs-137 input of year 1963 which occurred 46 years before 2010. # # Depth (cm) Total Pb-210 activity (DPM/g) Age (yr) Total Cs-137 activity (DPM/g dry wt) # 0.5 45.9 1.8 - # 2.5 36.3 8.8 - # 4.5 29.3 15.9 - # 7.5 22.4 26.5 - # 8.5 - - 6.32 # 9.5 - - 8.62 # 10.5 25.5 41.7 20.87 # 11.5 - 46 24.58 # 12.5 - - 8.38 # 13.5 - - 2.89 # 14.5 16.8 58.9 -0.23 # 16.5 - - 3.13 # 19.5 8 80.5 - # 23.5 6.6 97.7 - # 27.5 2.6 - - # 32.5 1.5 - - # 36.5 1.5 - - # # # Table 2 # Radiocarbon age determinations and calibrated ages BP (before 1950) using CALIB # 6.0 from Lac Noir, southwestern Quebec. Both samples are based on plant material # (leaf fragments, seeds, fiber strands) picked from the sediment. # # # Laboratory no. Depth (cm) 13C/12C ratio Conventional radiocarbon age Calibrated 14C age ranges (probability distribution) Sigma # BETA-276987 41-42 -27.2permil 580 +/- 40 BP 540-562 (0.33) 1s # 593-637 (0.67) # 528-573 (0.34) 2s # 577-653 (0.65) # BETA-276988 77-78 -26.5permil 980 +/- 40 BP 799-813 (0.13) 1s # 826-866 (0.43) # 1901-924 (0.43) # 794-958 (1.00) 2s # # #---------------- # 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) # ## age_calBP2010 age, , , Calendar years before AD2010, , , , ,N ## pinus.dip Pinus diplox, , , grains counted, pollen, , , ,N ## pinus.hap Pinus haplox, , , grains counted, pollen, , , ,N ## picea Picea total, , , grains counted, pollen, , , ,N ## abies.bal Abies balsamea, , , grains counted, pollen, , , ,N ## tsuga.can Tsuga canadensis, , , grains counted, pollen, , , ,N ## acer Acer, , , grains counted, pollen, , , ,N ## betula Betula, , , grains counted, pollen, , , ,N ## fagus Fagus, , , grains counted, pollen, , , ,N ## other.ap Other Arboreal Pollen, , , grains counted, pollen, , , ,N ## alnus Alnus total, , , grains counted, pollen, , , ,N ## salix Salix, , , grains counted, pollen, , , ,N ## other.sh Other shrubs, , , grains counted, pollen, , , ,N ## aster-tub Asteraceae-Tubuliflorae, , , grains counted, pollen, , , ,N ## aster-lig Asteraceae-Liguliflorae, , , grains counted, pollen, , , ,N ## ambrosia Ambrosia, , , grains counted, pollen, , , ,N ## poaceae Poaceae, , , grains counted, pollen, , , ,N ## plantag Plantaginaceae, , , grains counted, pollen, , , ,N ## rumex.typ Rumex type, , , grains counted, pollen, , , ,N ## other.nap Other Non-Arboreal Pollen, , , grains counted, pollen, , , ,N ## dryopteris Dryopteris, , , grains counted, pollen, , , ,N ## lycopodium Lycopodium, , , grains counted, pollen, , , ,N ## other.spo Other Spores, , , grains counted, pollen, , , ,N ## aquatics Aquatic Pollen total, , , grains counted, pollen, , , ,N ## sphagnum Sphagnum, , , grains counted, pollen, , , ,N ## pollen-unk pollen unknown, , , grains counted, pollen, , , ,N ## spike.lyc Spike Lycop, , , grains, pollen, , , ,N ## pollen-bsum pollen basic sum, , , grains counted, pollen, , ap+shrubs+npa+spores+others, ,N ## pollen-asum pollen aquatic sum, , , grains counted, pollen, , aquatics+moss, ,N ## pollen-sum pollen sum, , , grains counted, pollen, , aquatics+basic, ,N ## spike Spikes added (2 tablets per sample), , , grains, pollen, , , ,N ## thick interval thickness, , , cm, , , , ,N ## years years per sample, , , years, , , , Pb210,N ## pollen-conc pollen concentration, , , grains/cm3, pollen, , , ,N N # #---------------- # Data: # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header # Missing Values: # age_calBP2010 lpinus.dip pinus.hap picea abies.bal tsuga.can acer betula fagus other.ap alnus salix other.sh aster-tub aster-lig ambrosia poaceae plantag rumex.typ other.nap dryopteris lycopodium other.spo aquatics sphagnum pollen-unk spike.lyc pollen-bsum pollen-asum pollen-sum spike thick years pollen-conc 2.3 21 78 14 2 12 20 88 16 71 22 0 7 3 0 26 21 0 4 13 6 15 4 9 2 15 212 457 11 468 21358 0.65 2.3 46041 4.6 52 86 14 6 22 9 93 8 65 14 5 16 4 0 17 12 1 2 24 3 2 0 7 0 7 209 463 7 470 21358 0.65 2.3 47264 6.9 13 120 16 3 30 16 110 5 72 21 1 4 7 0 15 14 0 2 16 6 2 1 3 1 6 152 480 4 484 21358 0.65 2.3 67376 9.2 33 75 22 3 21 20 120 12 65 18 0 24 2 0 14 22 3 1 30 5 3 2 4 3 6 206 501 7 508 21358 0.65 2.3 51943 11.5 48 88 15 0 15 11 104 10 62 17 1 4 3 0 16 13 0 4 20 1 2 3 4 1 9 213 445 5 450 21358 0.65 2.3 44621 13.8 11 108 19 5 16 15 145 10 68 15 4 0 5 0 22 13 1 1 17 9 2 3 0 0 6 119 495 0 495 21358 0.65 2.3 88752 16.1 17 96 20 3 18 23 135 10 68 26 3 4 4 0 18 11 0 4 25 5 1 1 1 1 8 213 500 2 502 21358 0.65 2.3 50136 18.4 25 80 27 0 10 17 94 15 58 25 2 4 2 0 11 17 1 3 28 6 2 3 2 1 8 130 438 3 441 21358 0.65 2.3 71960 20.7 38 86 18 1 22 22 110 15 50 28 3 12 1 0 15 8 2 4 26 9 3 3 0 2 7 157 482 2 484 21358 0.65 2.3 65570 22 19 99 19 8 17 17 110 15 65 23 2 5 7 0 21 29 1 0 15 8 3 1 3 2 7 112 490 5 495 21358 0.65 10 93441 32 24 92 12 5 24 14 188 9 67 19 5 5 3 0 23 28 2 3 20 5 2 1 5 1 8 154 559 6 565 21358 0.72 10 77457 42 21 85 19 4 14 21 148 10 59 18 5 6 2 1 29 30 1 4 17 6 0 1 5 1 9 180 510 6 516 21358 0.64 10 60514 52 25 67 21 7 12 17 132 12 58 20 4 3 3 0 34 15 1 1 13 5 2 3 3 0 4 156 459 3 462 21358 0.76 10 62773 62 19 82 16 6 13 16 144 6 64 17 3 5 0 0 29 20 4 5 14 4 0 1 6 0 9 156 477 6 483 21358 0.69 10 65306 72 18 57 10 4 19 13 132 11 86 15 3 3 5 0 32 21 2 4 26 5 1 1 3 2 10 169 478 5 483 21358 0.81 10 60346 82 17 53 14 6 16 27 130 13 62 23 4 9 3 3 59 23 1 5 14 2 0 2 4 0 5 138 490 4 494 21358 0.74 10 75836 92 17 43 17 1 19 23 157 8 68 17 1 4 5 0 54 29 0 0 21 5 1 0 2 0 5 122 495 2 497 21358 0.74 10 86570 102 9 52 19 7 22 13 144 13 60 27 2 5 1 0 47 27 2 4 17 5 0 1 3 0 4 129 480 3 483 21358 0.82 10 79472 112 27 27 15 3 12 11 128 16 50 21 3 14 3 0 37 32 2 3 34 5 2 4 4 0 10 102 459 4 463 21358 0.66 10 96111 122 13 45 13 5 17 12 166 11 52 29 2 7 1 0 36 29 2 2 19 5 0 2 1 0 8 127 476 1 477 21358 0.82 10 80050 132 14 54 12 4 19 9 160 15 60 21 4 2 1 0 41 37 0 5 12 4 2 1 0 1 7 119 484 1 485 21358 0.70 10 86778 142 19 50 0 11 20 17 136 15 62 18 4 2 2 0 39 31 0 5 12 6 1 2 4 0 8 95 460 4 464 21358 0.80 10 103418 152 47 21 18 3 23 14 111 10 40 33 6 8 1 0 39 17 0 3 14 2 3 3 1 3 6 117 421 4 425 21358 0.77 10 76852 162 7 55 19 9 25 9 195 13 46 29 9 4 1 0 32 26 3 8 9 4 0 2 1 0 5 88 510 1 511 21358 0.76 10 123658 172 10 91 21 14 35 13 166 17 57 36 4 4 1 0 26 9 0 9 19 4 4 4 2 0 5 109 549 2 551 21358 1.04 10 107476 182 9 95 25 5 49 9 140 10 62 24 3 6 0 0 13 9 0 10 14 1 0 2 1 1 4 112 489 2 491 21358 0.94 10 93251 192 12 125 29 3 32 15 152 13 56 15 3 0 1 0 11 4 0 4 6 3 0 0 0 0 3 79 487 0 487 21358 0.92 10 131527 202 4 114 28 11 32 21 187 26 50 12 0 3 0 0 2 3 0 1 8 0 0 0 2 0 7 85 510 2 512 21358 0.75 10 128022 212 20 115 18 10 25 7 146 17 65 17 0 1 1 0 2 1 0 0 15 2 0 0 1 0 7 71 469 1 470 21358 0.94 10 141083 222 39 133 12 3 17 4 175 9 44 9 0 11 0 0 1 5 0 2 15 1 0 0 1 0 4 76 484 1 485 21358 0.86 10 135876 232 4 196 26 4 33 16 126 28 39 13 1 1 1 0 4 1 0 1 3 1 0 0 2 0 5 100 503 2 505 21358 0.84 10 107324 242 6 217 0 7 46 12 132 18 53 14 0 4 0 0 3 2 0 0 13 4 1 0 2 0 4 107 535 2 537 21358 0.65 10 106790 252 13 194 28 7 20 15 159 19 59 21 0 1 1 0 1 4 0 1 6 2 0 0 2 1 9 95 559 3 562 21358 0.79 10 125675 262 52 114 19 8 48 14 128 14 50 5 2 7 0 0 1 2 0 0 14 3 1 0 1 1 8 60 490 2 492 21358 0.87 10 174424 272 22 192 22 8 49 11 121 12 60 13 2 4 0 0 1 1 0 0 4 3 1 1 3 0 6 81 533 3 536 21358 0.81 10 140541 282 12 161 28 8 22 11 154 11 69 12 3 4 0 0 0 2 0 0 10 3 1 1 1 1 6 102 518 2 520 21358 0.81 10 108465 292 12 120 10 7 21 16 208 8 76 18 0 4 1 0 1 0 0 0 9 2 0 0 3 0 9 83 522 3 525 21358 0.87 10 134195 302 51 59 15 5 28 14 160 6 52 13 0 12 0 0 0 3 0 1 20 2 0 2 8 0 7 103 450 8 458 21358 0.76 10 93208 312 7 143 26 10 24 13 154 21 78 16 2 8 1 0 2 1 0 0 8 2 0 1 3 0 11 128 528 3 531 21358 0.77 10 88018 322 10 109 26 2 19 8 205 11 87 12 4 5 0 0 1 0 0 0 8 2 1 1 1 0 5 80 516 1 517 21358 0.82 10 137626 332 11 87 17 7 17 14 197 17 67 11 2 0 0 0 0 3 0 0 6 1 1 1 1 0 5 89 463 1 464 21358 0.87 10 111110 342 15 96 12 13 34 14 188 13 70 15 1 3 0 0 1 2 0 0 6 4 1 1 5 0 9 100 497 5 502 21358 0.86 10 106149 352 7 94 13 1 41 14 207 11 79 24 2 4 1 0 1 1 0 0 10 1 1 0 5 0 5 86 516 5 521 21358 0.88 10 128148 362 39 64 28 20 36 15 134 12 82 12 1 17 0 0 0 1 0 4 21 1 0 4 5 0 4 103 495 5 500 21358 0.81 10 102539 372 16 85 0 18 35 14 162 15 86 14 2 6 3 0 1 4 0 0 6 1 0 1 3 0 9 95 478 3 481 21358 0.93 10 107464 382 23 89 27 10 47 20 166 13 108 21 4 2 4 0 0 3 0 0 12 1 0 1 3 0 3 118 554 3 557 21358 0.96 10 100274 392 28 60 24 10 22 18 143 4 72 23 14 15 2 0 1 7 0 2 23 0 3 0 3 0 11 139 483 3 486 21358 0.99 10 74138 402 19 117 31 21 47 23 117 9 75 21 21 1 2 0 0 0 0 0 15 2 0 0 8 1 4 144 524 9 533 21358 0.93 10 77719 412 21 125 38 8 46 20 107 10 71 33 3 7 3 0 2 1 0 0 11 12 2 4 4 0 7 164 530 4 534 21358 0.87 10 69023 422 28 145 34 6 43 11 91 6 70 19 5 1 0 0 2 7 1 0 14 3 0 1 8 2 5 164 492 10 502 21358 1.07 10 64009 432 17 129 23 5 49 14 99 7 62 11 4 2 1 0 1 3 0 1 9 6 3 2 5 0 3 167 451 5 456 21358 0.99 10 57679 442 11 75 20 4 77 20 161 46 66 5 1 5 0 0 1 1 0 2 10 2 1 1 0 0 4 105 513 0 513 21358 0.85 10 104349 452 12 54 24 3 84 24 141 37 69 5 0 5 0 0 0 1 0 1 11 0 0 0 1 1 3 54 474 2 476 21358 0.82 10 187278 462 20 69 11 1 123 32 220 49 92 9 2 7 0 0 1 1 0 3 16 1 2 3 0 1 6 80 668 1 669 21358 0.86 10 178339 472 19 89 17 8 78 16 138 24 64 5 1 4 1 0 2 1 0 0 9 4 0 0 2 1 4 67 484 3 487 21358 0.65 10 154128 482 7 88 13 8 83 21 158 49 79 11 0 2 1 0 0 1 0 0 12 1 0 4 1 0 3 73 541 1 542 21358 0.84 10 158137 492 10 60 21 8 100 28 159 41 77 5 0 4 0 0 0 0 0 0 12 3 0 1 2 0 12 107 541 2 543 21358 1.08 10 107988 502 8 61 21 4 83 28 165 33 63 5 0 3 0 0 1 1 0 0 10 3 1 2 1 0 4 70 495 1 496 21358 0.82 10 151032 512 25 46 15 2 91 20 130 30 73 9 0 5 1 0 1 1 0 4 8 5 2 2 1 3 3 91 473 4 477 21358 0.86 10 111015 522 13 81 22 7 126 17 137 21 71 11 1 3 1 0 1 3 0 0 15 1 0 3 2 1 8 91 541 3 544 21358 0.84 10 126974 532 4 50 21 5 96 18 203 28 55 3 2 2 0 0 0 0 0 0 7 1 2 0 2 0 10 79 506 2 508 21358 0.68 10 136799 542 13 72 21 5 120 32 159 52 73 11 0 5 2 0 0 1 0 0 10 4 5 1 5 0 8 102 594 5 599 21358 0.74 10 124274 552 5 58 13 6 91 28 180 46 92 12 2 3 2 0 0 0 0 1 15 2 2 2 4 0 8 88 567 4 571 21358 0.77 10 137613 562 6 57 12 1 80 16 172 35 75 9 1 3 2 0 2 0 0 0 5 1 0 1 2 0 8 100 486 2 488 21358 0.75 10 103800 572 11 40 15 3 124 28 157 36 68 5 0 0 2 0 2 5 0 0 9 2 2 1 1 0 7 91 517 1 518 21358 0.67 10 121342 582 13 40 38 8 134 27 191 35 58 5 0 2 1 0 1 3 0 0 18 2 3 1 2 0 7 103 587 2 589 21358 0.62 10 121616 592 15 47 21 1 63 25 148 60 83 16 2 6 1 0 3 10 0 1 14 2 5 1 1 0 10 83 533 1 534 21358 0.56 10 137154 602 3 33 22 9 52 18 207 31 55 6 1 3 0 0 1 1 0 0 4 2 0 1 1 1 1 66 450 2 452 21358 0.66 10 145623 612 22 31 16 9 96 17 224 29 65 9 2 5 1 0 1 2 1 0 3 1 2 0 1 0 3 96 539 1 540 21358 0.89 10 119805 622 6 62 16 9 100 18 165 32 70 11 4 5 3 0 1 3 0 0 14 2 3 1 2 3 8 96 533 5 538 21358 0.87 10 118581 632 16 44 18 0 96 25 149 41 70 9 2 18 0 0 0 4 0 3 16 2 0 3 0 1 10 99 526 1 527 21358 0.86 10 113478 642 4 48 0 2 95 26 144 35 67 10 2 5 1 0 1 4 0 0 9 2 3 1 0 0 9 85 469 0 469 21358 0.87 10 117720 652 2 57 0 2 85 31 172 42 52 9 1 1 1 0 0 1 0 0 12 1 0 0 1 1 6 94 476 2 478 21358 0.95 10 108040 662 8 55 0 7 130 24 167 34 70 11 1 3 0 0 2 2 0 0 13 4 1 4 3 0 6 85 542 3 545 21358 0.80 10 136063 672 4 64 9 3 90 33 172 37 89 14 0 3 1 0 2 3 1 0 11 5 1 0 4 0 8 98 550 4 554 21358 0.89 10 119757 682 18 29 6 5 74 21 165 22 67 3 0 12 1 0 0 2 0 1 15 3 1 4 10 1 7 90 457 11 468 21358 0.90 10 108333 692 6 43 17 7 90 29 154 41 68 6 0 4 2 0 0 1 0 0 14 5 0 1 5 0 6 82 494 5 499 21358 0.86 10 128669 702 3 45 9 4 103 27 147 43 68 3 0 0 0 0 1 0 0 0 8 2 3 2 3 0 9 86 478 3 481 21358 0.84 10 118686 712 12 45 17 4 88 17 153 38 58 3 1 4 0 0 1 0 0 0 9 6 1 2 4 1 9 100 467 5 472 21358 0.95 10 99742 722 5 65 12 5 105 22 169 35 67 10 0 3 0 0 1 2 0 0 13 2 3 0 3 0 9 79 527 3 530 21358 0.89 10 142342 732 4 68 0 4 137 26 132 60 57 3 0 1 1 0 1 2 0 1 4 0 1 1 1 0 6 81 509 1 510 21358 0.83 10 134213 742 2 78 7 2 126 41 135 49 76 4 0 4 0 0 0 0 0 0 11 1 0 1 3 1 9 89 545 4 549 21358 0.91 10 130788 752 4 65 0 2 81 17 202 43 57 4 0 2 1 0 1 0 0 0 12 3 1 0 3 0 7 81 502 3 505 21358 0.75 10 132367 762 4 45 0 1 108 22 186 57 64 3 0 3 0 0 0 2 0 0 13 3 2 0 2 0 9 101 522 2 524 21358 0.72 10 110279 772 4 67 0 2 79 34 162 59 61 5 1 4 0 0 0 1 0 0 10 4 1 1 3 0 6 71 500 3 503 21358 0.70 10 150408 782 4 64 10 4 73 31 184 55 60 7 0 1 0 0 0 0 0 0 15 2 0 0 0 0 4 100 514 0 514 21358 0.66 10 109673 792 30 26 13 0 191 25 124 23 43 3 0 10 1 0 1 0 0 2 10 2 0 1 1 1 8 66 513 2 515 21358 0.57 10 165848 802 0 67 8 2 87 23 149 45 59 3 1 2 1 0 0 1 0 0 10 3 0 2 1 0 11 73 473 1 474 21358 0.71 10 138388 812 4 51 12 2 101 30 152 46 71 7 1 2 0 0 0 1 0 0 13 3 2 3 0 2 7 67 508 2 510 21358 0.92 10 161779 822 8 34 3 3 98 30 134 51 60 8 3 3 0 0 0 1 1 1 10 0 0 2 0 0 8 44 458 0 458 21358 0.85 10 222075 832 5 34 11 6 97 22 182 41 53 9 1 1 0 0 4 0 0 0 14 2 0 0 1 0 6 132 488 1 489 21358 0.95 10 78960 842 6 23 0 2 69 19 230 36 58 4 0 4 1 0 0 4 0 0 7 2 0 1 0 0 3 52 468 0 468 21358 0.90 10 192222 852 20 41 11 0 100 22 168 57 51 7 2 15 0 0 0 1 0 1 12 2 1 1 0 0 5 126 517 0 517 21358 1.02 10 87636 862 18 55 12 1 97 27 163 52 60 11 2 15 0 0 1 2 0 3 18 3 0 2 4 0 9 77 550 4 554 21358 1.03 10 152557 872 11 67 13 9 121 28 150 50 66 8 0 3 0 0 1 0 0 0 14 3 1 2 3 0 10 101 556 3 559 21358 1.03 10 117575 882 2 48 9 4 110 26 159 56 66 8 1 4 1 0 1 1 0 0 8 2 2 1 4 0 8 88 517 4 521 21358 0.92 10 125357 892 8 62 12 6 120 35 161 55 43 9 0 1 1 0 0 0 1 0 14 0 2 1 3 0 6 73 536 3 539 21358 0.85 10 156820 902 6 47 19 5 142 26 113 55 62 8 0 5 0 0 0 1 0 0 12 4 0 1 2 0 8 75 513 2 515 21358 0.89 10 145946 912 0 68 7 3 84 23 152 51 60 6 1 1 0 0 3 2 0 1 13 6 2 4 0 1 6 92 492 1 493 21358 0.95 10 114103 922 9 60 7 5 132 23 153 41 52 11 0 5 0 0 0 2 1 0 5 3 0 1 4 0 9 57 519 4 523 21358 0.75 10 194283 932 0 54 0 2 116 15 141 45 52 6 2 1 1 0 1 1 0 2 9 5 0 4 5 0 3 52 460 5 465 21358 0.75 10 188731 942 26 37 4 5 98 16 128 56 57 7 0 10 0 0 0 0 0 0 21 3 1 0 0 0 9 71 477 0 477 21358 0.86 10 143339 952 6 57 18 8 121 22 124 59 81 13 0 0 0 0 0 0 0 0 10 4 2 2 2 0 6 77 533 2 535 21358 1.07 10 147703 962 11 67 8 7 116 29 127 52 63 13 0 2 1 0 0 1 0 0 9 7 0 0 2 0 8 79 521 2 523 21358 0.78 10 140719 972 10 64 7 6 95 24 110 76 54 4 0 4 0 0 3 1 0 0 3 1 1 2 0 0 7 58 473 0 473 21358 0.89 10 173994 982 15 67 11 4 119 23 132 57 74 8 0 3 0 0 2 1 0 0 20 1 2 3 0 0 8 104 550 0 550 21358 1.09 10 112848 992 4 82 0 3 90 23 137 55 66 5 1 4 1 0 0 2 0 1 10 5 2 3 0 1 4 91 499 1 500 21358 0.89 10 117000 1002 42 40 8 6 140 31 155 33 66 5 6 2 1 0 1 2 2 0 5 2 0 3 6 0 10 94 561 6 567 21358 0.94 10 127353 1012 10 50 15 7 108 28 151 60 56 2 2 1 0 0 1 2 0 0 15 1 0 3 3 0 7 123 520 3 523 21358 0.99 10 90207 1022 34 50 3 2 91 22 115 65 64 4 3 1 1 0 0 3 1 1 28 3 7 6 1 1 12 93 516 2 518 21358 0.78 10 118502