ACER project members; Sanchez Goñi, Maria Fernanda; Desprat, Stéphanie; Daniau, Anne-Laure; Burbridge, Rachel E; Mayle, Francis E; Killeen, Timothy J (2017): CLAM age model and pollen profile of sediment core Laguna_Bella_Vista [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.872881
Always quote citation above when using data! You can download the citation in several formats below.
Related to:
Burbridge, Rachel E; Mayle, Francis E; Killeen, Timothy J (2004): Fifty-thousand-year vegetation and climate history of Noel Kempff Mercado National Park, Bolivian Amazon. Quaternary Research, 61(2), 215-230, https://doi.org/10.1016/j.yqres.2003.12.004
Sanchez Goñi, Maria Fernanda; Desprat, Stéphanie; Daniau, Anne-Laure; Bassinot, Franck C; Polanco-Martínez, Josué M; Harrison, Sandy P; Allen, Judy R M; Anderson, R Scott; Behling, Hermann; Bonnefille, Raymonde; Burjachs, Francesc; Carrión, José S; Cheddadi, Rachid; Clark, James S; Combourieu-Nebout, Nathalie; Courtney-Mustaphi, Colin J; DeBusk, Georg H; Dupont, Lydie M; Finch, Jemma M; Fletcher, William J; Giardini, Marco; González, Catalina; Gosling, William D; Grigg, Laurie D; Grimm, Eric C; Hayashi, Ryoma; Helmens, Karin F; Heusser, Linda E; Hill, Trevor R; Hope, Geoffrey; Huntley, Brian; Igarashi, Yaeko; Irino, Tomohisa; Jacobs, Bonnie Fine; Jiménez-Moreno, Gonzalo; Kawai, Sayuri; Kershaw, A Peter; Kumon, Fujio; Lawson, Ian T; Ledru, Marie-Pierre; Lézine, Anne-Marie; Liew, Ping-Mei; Magri, Donatella; Marchant, Robert; Margari, Vasiliki; Mayle, Francis E; McKenzie, G Merna; Moss, Patrick T; Müller, Stefanie; Müller, Ulrich C; Naughton, Filipa; Newnham, Rewi M; Oba, Tadamichi; Pérez-Obiol, Ramon P; Pini, Roberta; Ravazzi, Cesare; Roucoux, Katherine H; Rucina, Stephen M; Scott, Louis; Takahara, Hikaru; Tzedakis, Polychronis C; Urrego, Dunia H; van Geel, Bas; Valencia, Bryan G; Vandergoes, Marcus J; Vincens, Annie; Whitlock, Cathy L; Willard, Debra A; Yamamoto, Masanobu (2017): The ACER pollen and charcoal database: a global resource to document vegetation and fire response to abrupt climate changes during the last glacial period. Earth System Science Data, 9(2), 679-695, https://doi.org/10.5194/essd-9-679-2017
Project(s):
Coverage:
Latitude: -13.616670 * Longitude: -61.550000
Minimum DEPTH, sediment/rock: 0.020 m * Maximum DEPTH, sediment/rock: 2.970 m
Parameter(s):
License:
Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported (CC-BY-NC-ND-3.0)
Size:
3424 data points
Data
1 Depth sed [m] | 2 Cal age min [ka BP] | 3 Cal age max [ka BP] | 4 Cal age [ka BP] | 5 Accu model [a/cm] | 6 Age model type | 7 Sample ID | 8 Acalypha [#] | 9 Alchornea [#] | 10 Aln [#] | 11 Alternant [#] | 12 Amanoa [#] | 13 Amaceae [#] | 14 Anadenanthera [#] | 15 Annona [#] | 16 Aparisthmium [#] | 17 A. tibourbou [#] | 18 Apoceae [#] | 19 Arecceae [#] | 20 Astae [#] | 21 A. fraxinifolium [#] | 22 A. urundeuva [#] | 23 Byrsonima/Dalbergia/Machaerium [#] | 24 Cecropia [#] | 25 Cel [#] | 26 cf. Anacardiaceae [#] | 27 cf. Annonaceae/Rubiaceae [#] | 28 cf. Aspidosperma [#] | 29 cf. Begonia [#] | 30 cf. Elaeoluma [#] | 31 cf. Faramea [#] | 32 cf. Flacourtiaceae [#] | 33 cf. Polygala [#] | 34 cf. Pouteria [#] | 35 cf. Psychotria [#] | 36 cf. Sclerolobium [#] | 37 cf. Stachytarpheta [#] | 38 cf. Talisia [#] | 39 cf. Trichilia [#] | 40 cf. Vernonia [#] | 41 Chamaesyce [#] | 42 Comb/Mela [#] | 43 Copaifera [#] | 44 Croton [#] | 45 Cupania/Matayba [#] | 46 Cuphea [#] | 47 C. americana [#] | 48 Cypae [#] | 49 D. distractiflorus/D. vinosus [#] | 50 E. glabrescens [#] | 51 Ery [#] | 52 Erythroxylum [#] | 53 Gallesia [#] | 54 Genipa [#] | 55 H. americanus [#] | 56 Hyptis [#] | 57 Ile [#] | 58 Pollen indet [#] | 59 Ipomoea [#] | 60 Iso [#] | 61 Leg [#] | 62 Lud [#] | 63 Macrolobium [#] | 64 M. pubescens [#] | 65 Malpceae [#] | 66 Mauritia/Mauritiella [#] | 67 Meliaceae [#] | 68 Meliaceae/Sapotaceae [#] | 69 Mimosa [#] | 70 Mor/Urt [#] | 71 Myrsine [#] | 72 Mytae [#] | 73 Paullinia/Roupala [#] | 74 Piper [#] | 75 Poac [#] | 76 Pod [#] | 77 Pgaae [#] | 78 P. acuminatum [#] | 79 Pocae [#] | 80 P. latifolia [#] | 81 Psittacanthus [#] | 82 Psychotr [#] | 83 Sgt [#] | 84 Sapium [#] | 85 Sapeae [#] | 86 Sebastiania [#] | 87 S. amara [#] | 88 Sol [#] | 89 Spondias [#] | 90 Symphonia [#] | 91 Tapirira [#] | 92 Trema [#] | 93 Typ [#] | 94 Unknown [#] |
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0.020 | 18675 | 0 | 5 | 0 | 0 | 1 | 0 | 2 | 0 | 0 | 2 | 0 | 4 | 1 | 2 | 1 | 4 | 21 | 20 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 0 | 0 | 8 | 2 | 0 | 0 | 4 | 3 | 0 | 0 | 0 | 1 | 24 | 0 | 6 | 6 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 165 | 0 | 2 | 0 | 0 | 18 | 0 | 0 | 0 | 5 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | |||||
0.100 | 18676 | 3 | 14 | 0 | 0 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 0 | 5 | 8 | 22 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 2 | 0 | 0 | 0 | 7 | 0 | 0 | 0 | 0 | 0 | 16 | 2 | 0 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 17 | 0 | 9 | 4 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 205 | 2 | 1 | 0 | 0 | 24 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 7 | 0 | 16 | |||||
0.180 | 18677 | 10 | 28 | 0 | 0 | 4 | 0 | 2 | 0 | 0 | 0 | 0 | 4 | 3 | 4 | 0 | 2 | 14 | 31 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 3 | 0 | 0 | 3 | 16 | 0 | 0 | 0 | 0 | 0 | 17 | 5 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 1 | 28 | 0 | 9 | 5 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 272 | 4 | 2 | 0 | 4 | 31 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 6 | 0 | 2 | 0 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 21 | |||||
0.260 | 18678 | 2 | 18 | 0 | 0 | 6 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 2 | 2 | 0 | 3 | 13 | 9 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 3 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 1 | 23 | 1 | 0 | 1 | 6 | 0 | 0 | 0 | 0 | 0 | 18 | 0 | 9 | 2 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 156 | 0 | 3 | 1 | 0 | 48 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | |||||
0.340 | 18679 | 1 | 21 | 0 | 0 | 1 | 0 | 6 | 0 | 0 | 0 | 0 | 1 | 3 | 2 | 0 | 6 | 6 | 10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 0 | 2 | 0 | 0 | 0 | 9 | 0 | 0 | 3 | 0 | 3 | 26 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 2 | 25 | 0 | 12 | 1 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 1 | 88 | 5 | 3 | 3 | 0 | 77 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 9 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | |||||
0.400 | 18680 | 6 | 15 | 0 | 0 | 0 | 1 | 9 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | 0 | 4 | 18 | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 8 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 0 | 5 | 34 | 7 | 0 | 0 | 3 | 1 | 0 | 0 | 0 | 1 | 36 | 0 | 24 | 3 | 1 | 0 | 0 | 0 | 29 | 0 | 0 | 1 | 82 | 2 | 1 | 1 | 0 | 72 | 0 | 0 | 0 | 4 | 1 | 0 | 0 | 7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 20 | |||||
0.480 | 18681 | 6 | 8 | 0 | 0 | 2 | 0 | 7 | 0 | 0 | 1 | 0 | 1 | 0 | 9 | 0 | 7 | 11 | 9 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 4 | 0 | 0 | 0 | 3 | 0 | 0 | 1 | 1 | 5 | 25 | 2 | 2 | 0 | 6 | 1 | 0 | 4 | 0 | 3 | 24 | 0 | 33 | 0 | 1 | 0 | 0 | 0 | 17 | 0 | 0 | 0 | 86 | 2 | 2 | 2 | 0 | 108 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | |||||
0.540 | 18682 | 4 | 9 | 0 | 0 | 1 | 2 | 9 | 0 | 0 | 0 | 0 | 1 | 6 | 12 | 1 | 15 | 32 | 15 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 7 | 0 | 0 | 2 | 7 | 1 | 0 | 0 | 0 | 9 | 37 | 3 | 4 | 0 | 6 | 7 | 0 | 1 | 1 | 2 | 51 | 0 | 133 | 1 | 0 | 1 | 0 | 0 | 34 | 0 | 2 | 0 | 83 | 0 | 2 | 2 | 0 | 124 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 7 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 27 | |||||
0.600 | 18683 | 0 | 10 | 0 | 0 | 0 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 5 | 12 | 0 | 4 | 4 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 2 | 0 | 0 | 0 | 0 | 29 | 16 | 0 | 0 | 1 | 6 | 6 | 0 | 0 | 0 | 0 | 55 | 0 | 699 | 0 | 0 | 0 | 1 | 0 | 12 | 0 | 0 | 0 | 24 | 0 | 3 | 0 | 1 | 139 | 0 | 0 | 0 | 7 | 0 | 0 | 1 | 8 | 0 | 1 | 0 | 0 | 2 | 0 | 0 | 0 | 2 | 0 | 29 | |||||
0.680 | 18684 | 3 | 12 | 2 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 17 | 0 | 4 | 11 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 4 | 2 | 0 | 0 | 0 | 0 | 31 | 25 | 0 | 0 | 0 | 4 | 2 | 4 | 0 | 0 | 1 | 31 | 0 | 324 | 2 | 0 | 1 | 0 | 0 | 8 | 0 | 0 | 1 | 21 | 0 | 2 | 0 | 0 | 133 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 24 | |||||
0.760 | 18685 | 2 | 9 | 0 | 0 | 0 | 4 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 13 | 0 | 13 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 | 4 | 0 | 0 | 1 | 0 | 44 | 30 | 0 | 1 | 0 | 2 | 3 | 2 | 0 | 0 | 0 | 21 | 0 | 241 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 0 | 20 | 0 | 1 | 1 | 0 | 127 | 1 | 1 | 0 | 6 | 0 | 0 | 0 | 11 | 0 | 1 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 0 | 25 | |||||
0.840 | 18686 | 2 | 4 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 6 | 1 | 19 | 1 | 2 | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | 0 | 0 | 0 | 2 | 25 | 32 | 0 | 0 | 0 | 3 | 1 | 0 | 0 | 0 | 0 | 43 | 0 | 131 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 27 | 0 | 1 | 0 | 0 | 121 | 1 | 2 | 0 | 4 | 0 | 0 | 0 | 23 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 24 | |||||
0.920 | 18687 | 2 | 10 | 0 | 0 | 0 | 1 | 2 | 0 | 0 | 1 | 0 | 2 | 1 | 7 | 0 | 7 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 3 | 5 | 0 | 0 | 0 | 2 | 13 | 44 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 31 | 0 | 170 | 2 | 0 | 1 | 0 | 0 | 4 | 0 | 0 | 1 | 28 | 0 | 0 | 0 | 1 | 103 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 28 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 29 | |||||
1.000 | 18688 | 1 | 7 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 2 | 16 | 0 | 7 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 23 | 41 | 0 | 0 | 0 | 8 | 5 | 0 | 2 | 2 | 0 | 19 | 0 | 200 | 2 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 0 | 28 | 0 | 0 | 0 | 1 | 145 | 0 | 0 | 2 | 6 | 0 | 0 | 1 | 50 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 29 | |||||
1.080 | 18689 | 1 | 3 | 0 | 0 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 21 | 1 | 5 | 1 | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | 0 | 0 | 0 | 0 | 23 | 41 | 1 | 0 | 0 | 8 | 1 | 0 | 0 | 0 | 0 | 17 | 0 | 244 | 2 | 1 | 1 | 0 | 0 | 15 | 0 | 3 | 0 | 18 | 0 | 1 | 1 | 3 | 136 | 1 | 0 | 0 | 8 | 0 | 0 | 0 | 41 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 29 | |||||
1.200 | 18690 | 0 | 6 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 2 | 0 | 3 | 7 | 15 | 0 | 7 | 0 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 2 | 0 | 1 | 4 | 0 | 0 | 0 | 0 | 14 | 54 | 0 | 1 | 0 | 1 | 4 | 0 | 0 | 1 | 1 | 30 | 0 | 236 | 1 | 0 | 1 | 0 | 0 | 9 | 0 | 0 | 0 | 33 | 0 | 2 | 1 | 0 | 134 | 0 | 1 | 1 | 5 | 1 | 0 | 0 | 50 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 1 | 0 | 28 | |||||
1.280 | 11.59350 | 11.87880 | 11.70370 | 227.603 | Linear regression | 18691 | 4 | 3 | 1 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 13 | 0 | 11 | 19 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 0 | 0 | 1 | 0 | 27 | 12 | 1 | 0 | 0 | 5 | 1 | 0 | 1 | 0 | 0 | 17 | 0 | 5058 | 1 | 0 | 0 | 0 | 1 | 20 | 0 | 0 | 0 | 54 | 2 | 4 | 2 | 0 | 82 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 10 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 26 |
1.320 | 12.47950 | 12.75400 | 12.61410 | 227.603 | Linear regression | 18692 | 6 | 3 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 11 | 0 | 6 | 18 | 4 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 27 | 34 | 0 | 1 | 0 | 8 | 3 | 0 | 0 | 0 | 2 | 31 | 0 | 6826 | 0 | 0 | 1 | 0 | 0 | 10 | 0 | 0 | 0 | 48 | 0 | 4 | 1 | 0 | 85 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 32 |
1.390 | 42.10040 | 45.03130 | 43.16350 | 45.080 | Linear regression | 18693 | 0 | 10 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 0 | 35 | 0 | 7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 35 | 0 | 0 | 0 | 12 | 0 | 0 | 0 | 0 | 1 | 30 | 0 | 176 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 89 | 3 | 2 | 6 | 0 | 101 | 2 | 0 | 0 | 5 | 0 | 0 | 1 | 3 | 0 | 1 | 0 | 0 | 4 | 0 | 0 | 1 | 0 | 0 | 28 |
1.470 | 42.57520 | 45.19330 | 43.52420 | 45.080 | Linear regression | 18694 | 2 | 15 | 0 | 0 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | 0 | 22 | 1 | 10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 1 | 7 | 0 | 0 | 0 | 1 | 0 | 32 | 1 | 0 | 1 | 10 | 0 | 0 | 0 | 0 | 5 | 21 | 0 | 237 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 78 | 4 | 8 | 6 | 0 | 93 | 0 | 0 | 1 | 2 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 6 | 0 | 0 | 0 | 1 | 0 | 21 |
1.550 | 43.01600 | 45.37090 | 43.88480 | 45.080 | Linear regression | 18695 | 1 | 6 | 0 | 0 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | 0 | 18 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 47 | 0 | 0 | 1 | 5 | 0 | 0 | 1 | 0 | 0 | 28 | 3 | 0 | 0 | 6 | 0 | 0 | 0 | 0 | 3 | 39 | 0 | 11 | 25 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 21 | 0 | 0 | 15 | 1 | 66 | 2 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 62 |
1.630 | 43.38800 | 45.57240 | 44.24550 | 45.080 | Linear regression | 18696 | 0 | 13 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 0 | 34 | 4 | 18 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 0 | 0 | 2 | 10 | 0 | 0 | 0 | 0 | 0 | 38 | 0 | 0 | 1 | 6 | 0 | 0 | 0 | 0 | 4 | 32 | 0 | 28 | 26 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 35 | 3 | 3 | 25 | 0 | 79 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 63 |
1.690 | 43.65590 | 45.73860 | 44.51590 | 45.080 | Linear regression | 18697 | 4 | 2 | 1 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 36 | 0 | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 74 | 0 | 0 | 5 | 3 | 0 | 0 | 0 | 0 | 0 | 31 | 0 | 1 | 0 | 3 | 0 | 1 | 0 | 0 | 1 | 134 | 0 | 3 | 53 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 23 | 4 | 10 | 29 | 0 | 84 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 99 |
1.770 | 43.98130 | 46.00740 | 44.87660 | 45.080 | Linear regression | 18698 | 2 | 8 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | 1 | 0 | 12 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 40 | 0 | 0 | 2 | 5 | 0 | 0 | 1 | 0 | 0 | 30 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 4 | 87 | 0 | 10 | 39 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 1 | 15 | 2 | 1 | 20 | 0 | 42 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 55 |
1.830 | 44.21600 | 46.22250 | 45.14710 | 45.080 | Linear regression | 18699 | 0 | 11 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 14 | 1 | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 54 | 0 | 0 | 4 | 3 | 0 | 0 | 0 | 0 | 0 | 26 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 2 | 71 | 0 | 14 | 40 | 1 | 4 | 0 | 0 | 0 | 0 | 1 | 0 | 21 | 3 | 8 | 13 | 0 | 78 | 1 | 0 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 33 |
1.870 | 44.36420 | 46.42180 | 45.32740 | 45.080 | Linear regression | 18700 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 11 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 71 | 1 | 0 | 2 | 16 | 0 | 0 | 0 | 0 | 0 | 38 | 2 | 24 | 0 | 0 | 0 | 4 | 0 | 0 | 2 | 98 | 0 | 0 | 12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 41 | 0 | 12 | 4 | 0 | 27 | 0 | 0 | 0 | 3 | 0 | 1 | 2 | 3 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 29 |
1.970 | 44.72110 | 46.94590 | 45.77820 | 45.080 | Linear regression | 18701 | 0 | 113 | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 18 | 0 | 0 | 4 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 57 | 0 | 2 | 1 | 22 | 0 | 0 | 0 | 0 | 1 | 36 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 291 | 3 | 2 | 5 | 0 | 0 | 0 | 5 | 2 | 0 | 0 | 0 | 1 | 0 | 41 | 3 | 0 | 62 | 0 | 1 | 0 | 3 | 0 | 2 | 1 | 1 | 16 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 15 |
2.050 | 44.98620 | 47.42020 | 46.13880 | 45.080 | Linear regression | 18702 | 0 | 198 | 0 | 0 | 0 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 13 | 1 | 0 | 1 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 28 | 0 | 0 | 0 | 7 | 1 | 0 | 0 | 0 | 0 | 30 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 175 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 26 | 2 | 0 | 58 | 0 | 0 | 0 | 2 | 0 | 3 | 0 | 0 | 13 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 14 |
2.130 | 45.25710 | 47.91860 | 46.49950 | 45.080 | Linear regression | 18703 | 0 | 207 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 0 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 31 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 107 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 27 | 0 | 0 | 47 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 |
2.270 | 45.65460 | 48.84800 | 47.13060 | 45.080 | Linear regression | 18704 | 0 | 103 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 0 | 25 | 0 | 0 | 0 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 | 53 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 134 | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 5 | 1 | 0 | 0 | 0 | 0 | 8 | 3 | 0 | 84 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 7 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
2.370 | 45.93050 | 49.51620 | 47.58140 | 45.080 | Linear regression | 18705 | 0 | 150 | 0 | 0 | 0 | 1 | 2 | 0 | 0 | 2 | 1 | 0 | 14 | 2 | 0 | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 80 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 112 | 0 | 4 | 3 | 2 | 0 | 0 | 0 | 2 | 0 | 1 | 1 | 4 | 0 | 19 | 1 | 0 | 65 | 1 | 1 | 0 | 4 | 0 | 1 | 1 | 2 | 5 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 12 |
2.470 | 46.19460 | 50.18480 | 48.03220 | 45.080 | Linear regression | 18706 | 1 | 55 | 0 | 0 | 0 | 2 | 1 | 0 | 4 | 0 | 0 | 0 | 14 | 1 | 0 | 8 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 0 | 0 | 0 | 6 | 0 | 1 | 1 | 0 | 0 | 29 | 0 | 1 | 0 | 1 | 5 | 0 | 0 | 0 | 0 | 99 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 4 | 0 | 0 | 0 | 19 | 0 | 7 | 2 | 0 | 59 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 20 |
2.570 | 18707 | 1 | 23 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 3 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 0 | 0 | 0 | 3 | 1 | 0 | 2 | 0 | 1 | 32 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 50 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 5 | 0 | 4 | 2 | 0 | 41 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | |||||
2.650 | 18708 | 6 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 10 | 2 | 0 | 13 | 5 | 13 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 160 | 0 | 0 | 3 | 5 | 0 | 0 | 0 | 0 | 0 | 38 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 143 | 0 | 0 | 36 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 0 | 3 | 8 | 0 | 73 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | |||||
2.730 | 18709 | 1 | 8 | 0 | 0 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 1 | 17 | 0 | 2 | 11 | 1 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 165 | 0 | 0 | 0 | 4 | 0 | 0 | 1 | 0 | 0 | 17 | 2 | 3 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 94 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 0 | 3 | 2 | 0 | 77 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 18 | |||||
2.810 | 18710 | 2 | 20 | 0 | 23 | 0 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 27 | 4 | 0 | 3 | 0 | 10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 43 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 0 | 32 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 97 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 0 | 2 | 0 | 0 | 109 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | |||||
2.890 | 18711 | 2 | 11 | 0 | 14 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 54 | 3 | 0 | 6 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 51 | 1 | 0 | 2 | 9 | 0 | 0 | 0 | 0 | 1 | 21 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 88 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 7 | 0 | 1 | 0 | 0 | 60 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 5 | |||||
2.970 | 18712 | 0 | 4 | 0 | 5 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 25 | 0 | 0 | 5 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 37 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 17 | 2 | 0 | 0 | 0 | 2 | 0 | 0 | 1 | 0 | 59 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 4 | 0 | 3 | 0 | 0 | 42 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 5 |