ACER project members; Sanchez Goñi, Maria Fernanda; Desprat, Stéphanie; Daniau, Anne-Laure; Allen, Judy R M; Anderson, R Scott; Behling, Hermann; Bonnefille, Raymonde; Cheddadi, Rachid; Combourieu-Nebout, Nathalie; Dupont, Lydie M; Fletcher, William J; González, Catalina; Grigg, Laurie D; Grimm, Eric C; Hayashi, Ryoma; Helmens, Karin F; Hessler, Ines; Heusser, Linda E; Hooghiemstra, Henry; Huntley, Brian; Igarashi, Yaeko; Irino, Tomohisa; Jacobs, Bonnie Fine; Jiménez-Moreno, Gonzalo; Kawai, Sayuri; Kumon, Fujio; Lawson, Ian T; Lebamba, Judicael; Ledru, Marie-Pierre; Lézine, Anne-Marie; Liew, Ping-Mei; Londeix, Laurent; López-Martinez, Constancia; Magri, Donatella; Maley, Jean; Margari, Vasiliki; Marret, Fabienne; Müller, Ulrich C; Naughton, Filipa; Novenko, Elena Y; Oba, Tadamichi; Roucoux, Katherine H; Takahara, Hikaru; Tzedakis, Polychronis C; Vincens, Annie; Whitlock, Cathy L; Willard, Debra A; Yamamoto, Masanobu (2017): CLAM age model and biomes of sediment core Kohuora [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.872795
Always quote citation above when using data! You can download the citation in several formats below.
Related to:
Fletcher, William J; Sanchez Goñi, Maria Fernanda; Allen, Judy R M; Cheddadi, Rachid; Combourieu-Nebout, Nathalie; Huntley, Brian; Lawson, Ian T; Londeix, Laurent; Magri, Donatella; Margari, Vasiliki; Müller, Ulrich C; Naughton, Filipa; Novenko, Elena Y; Roucoux, Katherine H; Tzedakis, Polychronis C (2010): Millennial-scale variability during the last glacial in vegetation records from Europe. Quaternary Science Reviews, 29(21-22), 2839-2864, https://doi.org/10.1016/j.quascirev.2009.11.015
Hessler, Ines; Dupont, Lydie M; Bonnefille, Raymonde; Behling, Hermann; González, Catalina; Helmens, Karin F; Hooghiemstra, Henry; Lebamba, Judicael; Ledru, Marie-Pierre; Lézine, Anne-Marie; Maley, Jean; Marret, Fabienne; Vincens, Annie (2010): Millennial-scale changes in vegetation records from tropical Africa and South America during the last glacial. Quaternary Science Reviews, 29(21-22), 2882-2899, https://doi.org/10.1016/j.quascirev.2009.11.029
Jiménez-Moreno, Gonzalo; Anderson, R Scott; Desprat, Stéphanie; Grigg, Laurie D; Grimm, Eric C; Heusser, Linda E; Jacobs, Bonnie Fine; López-Martinez, Constancia; Whitlock, Cathy L; Willard, Debra A (2010): Millennial-scale variability during the last glacial in vegetation records from North America. Quaternary Science Reviews, 29(21-22), 2865-2881, https://doi.org/10.1016/j.quascirev.2009.12.013
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
Takahara, Hikaru; Igarashi, Yaeko; Hayashi, Ryoma; Kumon, Fujio; Liew, Ping-Mei; Yamamoto, Masanobu; Kawai, Sayuri; Oba, Tadamichi; Irino, Tomohisa (2010): Millennial-scale variability in vegetation records from the East Asian Islands: Taiwan, Japan and Sakhalin. Quaternary Science Reviews, 29(21-22), 2900-2917, https://doi.org/10.1016/j.quascirev.2009.11.026
Project(s):
Coverage:
Latitude: -36.950000 * Longitude: 174.866700
Minimum DEPTH, sediment/rock: 0.000 m * Maximum DEPTH, sediment/rock: 9.120 m
Parameter(s):
# | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
---|---|---|---|---|---|---|
1 | DEPTH, sediment/rock | Depth sed | m | Geocode | ||
2 | AGE | Age | ka BP | Sanchez Goñi, Maria Fernanda | Geocode – original age | |
3 | Calendar age, minimum/young | Cal age min | ka BP | Sanchez Goñi, Maria Fernanda | Classical age-modeling approach, CLAM (Blaauw, 2010) | CLAM_min95 |
4 | Calendar age, maximum/old | Cal age max | ka BP | Sanchez Goñi, Maria Fernanda | Classical age-modeling approach, CLAM (Blaauw, 2010) | CLAM_max95 |
5 | Calendar age | Cal age | ka BP | Sanchez Goñi, Maria Fernanda | Classical age-modeling approach, CLAM (Blaauw, 2010) | CLAM_best |
6 | Accumulation model | Accu model | a/cm | Sanchez Goñi, Maria Fernanda | Classical age-modeling approach, CLAM (Blaauw, 2010) | |
7 | Type of age model | Age model type | Sanchez Goñi, Maria Fernanda | |||
8 | Sample ID | Sample ID | Sanchez Goñi, Maria Fernanda | ACER sample ID | ||
9 | Pollen, temperate forest | Pollen te forest | % | Sanchez Goñi, Maria Fernanda | ||
10 | Pollen, warm-temperate forest | Pollen wte forest | % | Sanchez Goñi, Maria Fernanda |
License:
Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported (CC-BY-NC-ND-3.0)
Size:
804 data points
Data
1 Depth sed [m] | 2 Age [ka BP] | 3 Cal age min [ka BP] | 4 Cal age max [ka BP] | 5 Cal age [ka BP] | 6 Accu model [a/cm] | 7 Age model type | 8 Sample ID | 9 Pollen te forest [%] | 10 Pollen wte forest [%] |
---|---|---|---|---|---|---|---|---|---|
0.000 | 1.59400 | 2188 | 9.353 | 72.662 | |||||
0.100 | 1.62000 | 2189 | 25.564 | 45.113 | |||||
0.200 | 1.64600 | 2190 | 22.917 | 73.958 | |||||
0.300 | 1.67200 | 2191 | 19.000 | 77.000 | |||||
0.400 | 1.69800 | 2192 | 7.772 | 84.456 | |||||
0.500 | 1.72400 | 2193 | 16.667 | 80.864 | |||||
0.600 | 1.75000 | 2194 | 17.460 | 63.492 | |||||
0.630 | 1.75800 | 2195 | 22.527 | 69.780 | |||||
0.635 | 1.75900 | 2196 | 32.759 | 65.517 | |||||
0.640 | 1.76000 | 2197 | 16.000 | 76.000 | |||||
0.645 | 1.76200 | 2198 | 21.302 | 66.272 | |||||
0.650 | 1.76300 | 2199 | 22.941 | 74.118 | |||||
0.655 | 1.76400 | 2200 | 16.535 | 79.528 | |||||
0.660 | 1.76600 | 2201 | 19.072 | 80.928 | |||||
0.665 | 1.76700 | 2202 | 33.871 | 65.591 | |||||
0.670 | 1.76800 | 2203 | 18.265 | 79.452 | |||||
0.675 | 1.77000 | 2204 | 23.474 | 71.831 | |||||
0.700 | 1.77500 | 2205 | 13.750 | 83.125 | |||||
0.800 | 1.80200 | 2206 | 14.847 | 82.969 | |||||
0.900 | 1.82800 | 2207 | 9.091 | 88.745 | |||||
1.000 | 1.85400 | 2208 | 13.939 | 79.394 | |||||
1.100 | 2.02100 | 2209 | 11.468 | 87.156 | |||||
1.200 | 2.18800 | 2210 | 20.197 | 76.847 | |||||
1.300 | 2.35600 | 2211 | 23.370 | 71.196 | |||||
1.400 | 2.52300 | 2212 | 20.536 | 69.196 | |||||
1.500 | 2.69000 | 2213 | 22.513 | 70.157 | |||||
1.600 | 2.85700 | 2214 | 24.490 | 73.878 | |||||
1.700 | 3.02400 | 2215 | 23.207 | 76.371 | |||||
1.800 | 3.19200 | 2216 | 22.581 | 77.016 | |||||
1.900 | 3.35900 | 2217 | 17.040 | 82.511 | |||||
2.000 | 3.52600 | 2218 | 23.478 | 76.087 | |||||
2.100 | 3.60200 | 2219 | 18.779 | 79.343 | |||||
2.200 | 3.67800 | 2220 | 23.144 | 76.419 | |||||
2.300 | 3.75400 | 2221 | 23.451 | 76.549 | |||||
2.400 | 3.83000 | 2222 | 19.565 | 80.000 | |||||
2.500 | 3.90700 | 2223 | 25.822 | 72.770 | |||||
2.600 | 3.98300 | 2224 | 20.976 | 78.537 | |||||
2.700 | 4.05900 | 2225 | 26.768 | 73.232 | |||||
2.800 | 4.13500 | 2226 | 23.377 | 76.190 | |||||
2.900 | 4.21100 | 2227 | 24.272 | 74.272 | |||||
3.000 | 4.28700 | 2228 | 25.943 | 74.057 | |||||
3.100 | 4.61700 | 2229 | 23.762 | 72.277 | |||||
3.200 | 4.94600 | 2230 | 24.887 | 74.661 | |||||
3.300 | 5.27600 | 2231 | 31.132 | 68.868 | |||||
3.400 | 5.60500 | 2232 | 25.414 | 72.928 | |||||
3.500 | 5.93500 | 2233 | 28.409 | 70.455 | |||||
3.600 | 6.26400 | 2234 | 32.683 | 66.829 | |||||
3.700 | 6.59400 | 2235 | 28.448 | 71.121 | |||||
3.790 | 6.89000 | 2236 | 28.283 | 70.707 | |||||
3.795 | 6.90700 | 2237 | 24.870 | 73.575 | |||||
3.800 | 6.92300 | 2238 | 24.883 | 70.892 | |||||
3.805 | 6.94000 | 2239 | 21.719 | 76.471 | |||||
3.810 | 6.95600 | 2240 | 27.179 | 70.769 | |||||
3.815 | 6.97300 | 2241 | 29.000 | 68.500 | |||||
3.820 | 6.98900 | 2242 | 26.396 | 72.081 | |||||
3.825 | 7.00600 | 2243 | 26.768 | 72.727 | |||||
3.830 | 7.02200 | 2244 | 27.358 | 72.642 | |||||
3.840 | 7.05500 | 2245 | 24.057 | 75.472 | |||||
3.850 | 7.06100 | 2246 | 17.012 | 81.743 | |||||
3.870 | 7.07300 | 2247 | 20.349 | 78.488 | |||||
3.875 | 7.07600 | 2248 | 21.239 | 78.761 | |||||
3.880 | 7.07900 | 2249 | 20.889 | 78.222 | |||||
3.885 | 7.08200 | 2250 | 24.599 | 75.401 | |||||
3.890 | 7.08500 | 2251 | 21.364 | 78.182 | |||||
3.895 | 7.08800 | 2252 | 23.922 | 76.078 | |||||
3.900 | 7.09100 | 2253 | 20.225 | 78.652 | |||||
3.905 | 7.09400 | 2254 | 20.161 | 79.435 | |||||
3.910 | 7.09700 | 2255 | 22.093 | 77.907 | |||||
3.915 | 7.10000 | 2256 | 23.288 | 76.256 | |||||
3.920 | 7.10300 | 2257 | 19.932 | 79.392 | |||||
3.950 | 7.12100 | 2258 | 22.368 | 77.193 | |||||
4.000 | 7.15100 | 2259 | 25.600 | 72.800 | |||||
4.100 | 7.21100 | 2260 | 18.145 | 81.452 | |||||
4.200 | 7.27100 | 2261 | 23.695 | 76.305 | |||||
4.300 | 7.33100 | 2262 | 18.367 | 80.408 | |||||
4.390 | 7.38500 | 2263 | 20.161 | 78.226 | |||||
4.395 | 7.38800 | 2264 | 22.605 | 75.096 | |||||
4.400 | 7.39100 | 2265 | 24.390 | 73.577 | |||||
4.405 | 7.41300 | 2266 | 19.118 | 77.941 | |||||
4.410 | 7.43500 | 2267 | 19.841 | 78.571 | |||||
4.415 | 7.45600 | 2268 | 15.504 | 82.558 | |||||
4.420 | 7.47800 | 2269 | 20.921 | 77.824 | |||||
4.425 | 7.50000 | 2270 | 22.120 | 76.037 | |||||
4.430 | 7.52200 | 2271 | 19.712 | 78.365 | |||||
4.435 | 7.54300 | 2272 | 18.468 | 79.730 | |||||
4.440 | 7.56500 | 2273 | 18.018 | 79.279 | |||||
4.450 | 7.60900 | 2274 | 18.182 | 77.686 | |||||
4.460 | 7.65200 | 2275 | 16.935 | 81.048 | |||||
4.480 | 7.73900 | 2276 | 22.458 | 77.119 | |||||
4.500 | 7.82600 | 2277 | 18.410 | 79.916 | |||||
4.600 | 8.26200 | 2278 | 32.627 | 67.373 | |||||
4.700 | 8.69700 | 2279 | 26.230 | 72.951 | |||||
4.800 | 9.13200 | 9.91830 | 11.47290 | 10.77190 | 19.619 | Linear interpolation | 2280 | 22.857 | 76.735 |
4.900 | 9.56800 | 10.17560 | 11.62200 | 10.96810 | 19.619 | Linear interpolation | 2281 | 17.797 | 81.780 |
5.000 | 10.00300 | 10.43350 | 11.76800 | 11.16430 | 19.619 | Linear interpolation | 2282 | 18.474 | 81.124 |
5.100 | 10.43900 | 10.68590 | 11.91620 | 11.36050 | 19.619 | Linear interpolation | 2283 | 18.443 | 81.148 |
5.200 | 10.87400 | 10.93550 | 12.06660 | 11.55660 | 19.619 | Linear interpolation | 2284 | 23.629 | 75.527 |
5.300 | 11.30900 | 11.17940 | 12.21760 | 11.75280 | 19.619 | Linear interpolation | 2285 | 25.410 | 73.361 |
5.400 | 11.74500 | 11.42130 | 12.36830 | 11.94900 | 19.619 | Linear interpolation | 2286 | 24.498 | 75.502 |
5.500 | 12.18000 | 11.66700 | 12.52400 | 12.14520 | 19.619 | Linear interpolation | 2287 | 21.983 | 78.017 |
5.600 | 12.38900 | 11.91120 | 12.68840 | 12.34140 | 19.619 | Linear interpolation | 2288 | 19.084 | 79.771 |
5.700 | 12.59700 | 12.14800 | 12.85700 | 12.53760 | 19.619 | Linear interpolation | 2289 | 19.784 | 80.216 |
5.800 | 12.80600 | 12.38160 | 13.03270 | 12.73380 | 19.619 | Linear interpolation | 2290 | 22.709 | 76.892 |
5.900 | 13.01400 | 12.61140 | 13.22120 | 12.93000 | 19.619 | Linear interpolation | 2291 | 20.717 | 77.689 |
6.000 | 13.22300 | 12.82800 | 13.42200 | 13.12620 | 19.619 | Linear interpolation | 2292 | 24.797 | 74.797 |
6.100 | 13.43100 | 13.04100 | 13.63560 | 13.32230 | 19.619 | Linear interpolation | 2293 | 31.915 | 67.660 |
6.200 | 13.64000 | 13.24480 | 13.86000 | 13.51850 | 19.619 | Linear interpolation | 2294 | 32.443 | 66.794 |
6.300 | 13.84800 | 13.44200 | 14.09720 | 13.71470 | 19.619 | Linear interpolation | 2295 | 21.622 | 76.834 |
6.400 | 14.05700 | 13.62430 | 14.33820 | 13.91090 | 19.619 | Linear interpolation | 2296 | 23.361 | 75.820 |
6.500 | 14.26500 | 13.79100 | 14.57800 | 14.10710 | 4.828 | Linear interpolation | 2297 | 20.992 | 77.481 |
6.600 | 14.29600 | 13.86310 | 14.60100 | 14.15540 | 4.828 | Linear interpolation | 2298 | 22.222 | 77.778 |
6.700 | 14.32700 | 13.91680 | 14.62720 | 14.20370 | 4.828 | Linear interpolation | 2299 | 22.868 | 74.806 |
6.800 | 14.35800 | 13.96220 | 14.65540 | 14.25200 | 4.828 | Linear interpolation | 2300 | 25.714 | 73.571 |
6.900 | 14.38900 | 14.00320 | 14.68380 | 14.30020 | 4.828 | Linear interpolation | 2301 | 21.538 | 77.692 |
7.000 | 14.42000 | 14.03350 | 14.72200 | 14.34850 | 4.828 | Linear interpolation | 2302 | 25.287 | 74.330 |
7.100 | 14.45000 | 14.06180 | 14.76540 | 14.39680 | 4.828 | Linear interpolation | 2303 | 22.989 | 77.011 |
7.200 | 14.48100 | 14.08850 | 14.82690 | 14.44510 | 4.828 | Linear interpolation | 2304 | 24.125 | 75.875 |
7.300 | 14.51200 | 14.10920 | 14.90290 | 14.49340 | 4.828 | Linear interpolation | 2305 | 24.609 | 75.391 |
7.400 | 14.54300 | 14.12620 | 14.98670 | 14.54160 | 4.828 | Linear interpolation | 2306 | 26.275 | 73.725 |
7.500 | 14.57400 | 14.14110 | 15.07700 | 14.58990 | 34.039 | Linear interpolation | 2307 | 31.559 | 68.061 |
7.600 | 15.04900 | 14.61700 | 15.27060 | 14.93030 | 34.039 | Linear interpolation | 2308 | 38.514 | 61.486 |
7.700 | 15.52300 | 15.06390 | 15.48460 | 15.27070 | 34.039 | Linear interpolation | 2309 | 30.882 | 68.750 |
7.765 | 15.83200 | 15.32230 | 15.64850 | 15.49200 | 34.039 | Linear interpolation | 2310 | 31.599 | 68.030 |
7.770 | 15.85600 | 15.34030 | 15.66320 | 15.50900 | 34.039 | Linear interpolation | 2311 | 37.302 | 62.698 |
7.775 | 15.87900 | 15.35780 | 15.67870 | 15.52600 | 34.039 | Linear interpolation | 2312 | 30.980 | 67.843 |
7.780 | 15.90300 | 15.37540 | 15.69590 | 15.54300 | 34.039 | Linear interpolation | 2313 | 33.840 | 66.160 |
7.785 | 15.92700 | 15.39180 | 15.71280 | 15.56000 | 34.039 | Linear interpolation | 2314 | 30.357 | 69.286 |
7.790 | 15.95100 | 15.40860 | 15.72740 | 15.57710 | 34.039 | Linear interpolation | 2315 | 30.303 | 68.182 |
7.795 | 15.97400 | 15.42580 | 15.74290 | 15.59410 | 34.039 | Linear interpolation | 2316 | 33.333 | 65.646 |
7.800 | 15.99800 | 15.44170 | 15.75970 | 15.61110 | 34.039 | Linear interpolation | 2317 | 26.316 | 72.180 |
7.805 | 16.02200 | 15.45740 | 15.77810 | 15.62810 | 34.039 | Linear interpolation | 2318 | 31.061 | 67.045 |
7.810 | 16.04600 | 15.47210 | 15.79550 | 15.64510 | 34.039 | Linear interpolation | 2319 | 21.538 | 77.308 |
7.820 | 16.09300 | 15.50200 | 15.83400 | 15.67920 | 617.777 | Linear interpolation | 2320 | 34.727 | 63.344 |
7.840 | 16.95500 | 16.19670 | 16.87690 | 16.51640 | 219.461 | Linear interpolation | 2321 | 22.814 | 75.285 |
7.940 | 18.92400 | 18.41740 | 19.02120 | 18.71100 | 219.461 | Linear interpolation | 2322 | 37.818 | 58.909 |
8.070 | 21.48400 | 21.07650 | 22.07300 | 21.56400 | 219.461 | Linear interpolation | 2323 | 80.545 | 6.226 |
8.170 | 22.86500 | 22.49550 | 23.59410 | 23.03390 | 74.511 | Linear interpolation | 2324 | 73.469 | 5.102 |
8.230 | 23.34000 | 22.99960 | 23.98520 | 23.48090 | 74.511 | Linear interpolation | 2325 | 69.565 | 3.162 |
8.310 | 23.97500 | 23.63770 | 24.53830 | 24.07700 | 74.511 | Linear interpolation | 2326 | 72.581 | 14.113 |
8.360 | 24.37100 | 24.01140 | 24.90030 | 24.44960 | 74.511 | Linear interpolation | 2327 | 84.400 | 10.800 |
8.420 | 24.84700 | 24.44360 | 25.34710 | 24.89660 | 74.511 | Linear interpolation | 2328 | 89.925 | 4.851 |
8.470 | 25.24400 | 24.78280 | 25.73340 | 25.26920 | 74.511 | Linear interpolation | 2329 | 79.524 | 6.190 |
8.520 | 25.64000 | 25.11130 | 26.13170 | 25.64180 | 74.511 | Linear interpolation | 2330 | 60.248 | 12.422 |
8.570 | 26.03700 | 25.44020 | 26.53970 | 26.01430 | 74.511 | Linear interpolation | 2331 | 74.857 | 8.571 |
8.620 | 26.43300 | 25.75330 | 26.95430 | 26.38690 | 74.511 | Linear interpolation | 2332 | 70.443 | 13.300 |
8.670 | 26.83000 | 26.07220 | 27.37720 | 26.75940 | 74.511 | Linear interpolation | 2333 | 74.419 | 9.302 |
8.705 | 27.10700 | 26.38410 | 27.64990 | 27.04500 | 91.008 | Linear interpolation | 2334 | 66.400 | 8.000 |
8.710 | 27.14700 | 26.44250 | 27.68600 | 27.09050 | 91.008 | Linear interpolation | 2335 | 78.927 | 5.747 |
8.715 | 27.21100 | 26.50250 | 27.71670 | 27.13600 | 91.008 | Linear interpolation | 2336 | 74.839 | 9.677 |
8.720 | 27.27600 | 26.56040 | 27.74940 | 27.18150 | 91.008 | Linear interpolation | 2337 | 80.240 | 4.790 |
8.750 | 27.66200 | 26.91320 | 27.95970 | 27.45450 | 91.008 | Linear interpolation | 2338 | 71.311 | 7.787 |
8.760 | 27.79100 | 27.02840 | 28.02930 | 27.54550 | 91.008 | Linear interpolation | 2339 | 75.494 | 7.905 |
8.810 | 28.43400 | 27.58450 | 28.40900 | 28.00050 | 91.008 | Linear interpolation | 2340 | 70.661 | 25.620 |
8.860 | 29.07800 | 28.09610 | 28.82920 | 28.45560 | 91.008 | Linear interpolation | 2341 | 69.650 | 28.016 |
8.910 | 29.72200 | 28.53240 | 29.31670 | 28.91060 | 91.008 | Linear interpolation | 2342 | 64.074 | 34.074 |
8.980 | 30.62300 | 29.03350 | 30.09540 | 29.54770 | 91.008 | Linear interpolation | 2343 | 39.200 | 58.400 |
9.030 | 31.26600 | 29.35180 | 30.69030 | 30.00270 | 91.008 | Linear interpolation | 2344 | 48.101 | 36.709 |
9.120 | 32.42500 | 29.90560 | 31.79980 | 30.82180 | 91.008 | Linear interpolation | 2345 | 65.152 | 13.636 |