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 BANYOLES [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.872778
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: 42.133333 * Longitude: 2.750000
Minimum DEPTH, sediment/rock: 0.350 m * Maximum DEPTH, sediment/rock: 33.100 m
Event(s):
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 |
License:
Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported (CC-BY-NC-ND-3.0)
Size:
610 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 [%] |
---|---|---|---|---|---|---|---|---|
0.350 | 5.74200 | 2690 | 79.850 | |||||
0.450 | 5.92900 | 2691 | 77.090 | |||||
0.550 | 6.11600 | 2692 | 81.270 | |||||
0.650 | 6.30300 | 2693 | 77.300 | |||||
0.750 | 6.49000 | 2694 | 38.550 | |||||
0.850 | 6.67700 | 2695 | 40.660 | |||||
0.950 | 6.86400 | 2696 | 54.790 | |||||
1.050 | 7.05100 | 2697 | 66.840 | |||||
1.150 | 7.23800 | 2698 | 38.360 | |||||
1.250 | 7.36900 | 2699 | 55.350 | |||||
1.350 | 7.43000 | 2700 | 59.430 | |||||
1.450 | 7.49100 | 2701 | 43.960 | |||||
1.550 | 7.55200 | 2702 | 55.660 | |||||
1.650 | 7.61300 | 2703 | 59.520 | |||||
1.750 | 7.67500 | 2704 | 75.590 | |||||
2.050 | 7.85800 | 2705 | 78.390 | |||||
2.500 | 8.13400 | 2706 | 88.510 | |||||
3.000 | 8.44000 | 2707 | 89.440 | |||||
3.500 | 8.74600 | 2708 | 82.500 | |||||
4.000 | 9.05200 | 2709 | 82.180 | |||||
4.500 | 9.35800 | 2710 | 54.900 | |||||
5.000 | 9.66400 | 2711 | 35.900 | |||||
5.100 | 9.92300 | 2712 | 27.530 | |||||
5.200 | 10.18100 | 2713 | 28.700 | |||||
5.300 | 10.44000 | 2714 | 23.630 | |||||
5.400 | 10.69900 | 2715 | 23.620 | |||||
5.500 | 10.95700 | 2716 | 23.990 | |||||
5.600 | 11.21600 | 2717 | 20.990 | |||||
5.700 | 11.41900 | 11.22310 | 11.60460 | 11.41370 | 3.728 | Linear interpolation | 2718 | 19.590 |
6.000 | 11.52400 | 11.31690 | 11.74030 | 11.52550 | 3.728 | Linear interpolation | 2719 | 36.410 |
6.200 | 11.59400 | 11.35030 | 11.85790 | 11.60010 | 3.728 | Linear interpolation | 2720 | 11.460 |
6.300 | 11.62900 | 11.36350 | 11.92610 | 11.63730 | 3.728 | Linear interpolation | 2721 | 8.330 |
6.400 | 11.66400 | 11.37420 | 11.99310 | 11.67460 | 3.728 | Linear interpolation | 2722 | 7.480 |
6.500 | 11.69900 | 11.38730 | 12.06630 | 11.71190 | 3.728 | Linear interpolation | 2723 | 5.510 |
6.600 | 11.73400 | 11.39710 | 12.13840 | 11.74920 | 3.728 | Linear interpolation | 2724 | 11.870 |
6.700 | 11.76900 | 11.40460 | 12.21060 | 11.78650 | 3.728 | Linear interpolation | 2725 | 8.550 |
6.950 | 11.85700 | 11.42580 | 12.39440 | 11.87970 | 3.728 | Linear interpolation | 2726 | 16.560 |
7.050 | 11.89200 | 11.43490 | 12.46920 | 11.91690 | 3.728 | Linear interpolation | 2727 | 13.270 |
7.150 | 11.92700 | 11.44100 | 12.54500 | 11.95420 | 3.728 | Linear interpolation | 2728 | 18.490 |
7.250 | 11.96200 | 11.44690 | 12.62020 | 11.99150 | 3.728 | Linear interpolation | 2729 | 22.860 |
7.350 | 11.99700 | 11.45680 | 12.69310 | 12.02880 | 3.728 | Linear interpolation | 2730 | 22.070 |
7.450 | 12.03200 | 11.46370 | 12.77040 | 12.06600 | 3.728 | Linear interpolation | 2731 | 15.130 |
7.550 | 12.06700 | 11.46730 | 12.84570 | 12.10330 | 3.728 | Linear interpolation | 2732 | 24.280 |
7.650 | 12.10200 | 11.47170 | 12.92350 | 12.14060 | 3.728 | Linear interpolation | 2733 | 19.740 |
7.750 | 12.13700 | 11.47830 | 12.99820 | 12.17790 | 3.728 | Linear interpolation | 2734 | 14.780 |
8.150 | 12.27700 | 11.50450 | 13.30280 | 12.32700 | 3.728 | Linear interpolation | 2735 | 15.480 |
8.250 | 12.31200 | 11.50930 | 13.37790 | 12.36430 | 3.728 | Linear interpolation | 2736 | 11.760 |
8.350 | 12.34700 | 11.51400 | 13.45540 | 12.40150 | 3.728 | Linear interpolation | 2737 | 10.460 |
8.450 | 12.38200 | 11.51810 | 13.53180 | 12.43880 | 3.728 | Linear interpolation | 2738 | 16.870 |
8.550 | 12.41700 | 11.52060 | 13.60810 | 12.47610 | 3.728 | Linear interpolation | 2739 | 16.160 |
8.650 | 12.45200 | 11.52360 | 13.68430 | 12.51340 | 3.728 | Linear interpolation | 2740 | 11.490 |
8.750 | 12.50500 | 11.55510 | 13.75820 | 12.56490 | 18.032 | Linear interpolation | 2741 | 19.340 |
8.850 | 12.71000 | 11.84300 | 13.80850 | 12.74530 | 18.032 | Linear interpolation | 2742 | 13.660 |
9.350 | 13.73600 | 13.05200 | 14.27050 | 13.64690 | 18.032 | Linear interpolation | 2743 | 25.510 |
9.450 | 13.94100 | 13.23830 | 14.41620 | 13.82720 | 18.032 | Linear interpolation | 2744 | 3.120 |
9.550 | 14.14600 | 13.38850 | 14.58620 | 14.00750 | 18.032 | Linear interpolation | 2745 | 2.780 |
9.650 | 14.35100 | 13.52040 | 14.80220 | 14.18780 | 18.032 | Linear interpolation | 2746 | 1.680 |
9.750 | 14.46900 | 13.76420 | 14.93520 | 14.35790 | 16.457 | Linear interpolation | 2747 | 0.490 |
10.350 | 15.62500 | 14.79680 | 16.87070 | 15.75210 | 28.079 | Linear interpolation | 2748 | 1.840 |
10.450 | 15.73900 | 14.84340 | 17.07190 | 15.86560 | 2.347 | Linear interpolation | 2749 | 1.290 |
10.550 | 15.76400 | 14.87780 | 17.08200 | 15.88910 | 2.347 | Linear interpolation | 2750 | 1.760 |
10.650 | 15.78900 | 14.91060 | 17.08560 | 15.91260 | 2.347 | Linear interpolation | 2751 | 2.050 |
10.750 | 15.81400 | 14.94900 | 17.09300 | 15.93610 | 2.347 | Linear interpolation | 2752 | 3.160 |
11.350 | 15.96400 | 15.16400 | 17.14210 | 16.07690 | 2.347 | Linear interpolation | 2753 | 0.000 |
11.750 | 16.06400 | 15.30830 | 17.18860 | 16.17080 | 2.347 | Linear interpolation | 2754 | 1.450 |
12.050 | 16.13900 | 15.40770 | 17.21410 | 16.24120 | 2.347 | Linear interpolation | 2755 | 2.170 |
12.450 | 16.23900 | 15.54030 | 17.26110 | 16.33510 | 2.347 | Linear interpolation | 2756 | 0.820 |
13.050 | 16.38900 | 15.74320 | 17.32840 | 16.47600 | 2.347 | Linear interpolation | 2757 | 0.670 |
13.550 | 16.51400 | 15.89930 | 17.38660 | 16.59330 | 2.347 | Linear interpolation | 2758 | 1.830 |
14.150 | 16.66400 | 16.08380 | 17.47010 | 16.73420 | 2.347 | Linear interpolation | 2759 | 2.820 |
14.650 | 16.79000 | 16.23280 | 17.53650 | 16.85160 | 2.347 | Linear interpolation | 2760 | 0.000 |
15.000 | 16.87700 | 16.32760 | 17.58490 | 16.93370 | 2.347 | Linear interpolation | 2761 | 0.170 |
15.500 | 17.00200 | 16.45790 | 17.67040 | 17.05110 | 2.347 | Linear interpolation | 2762 | 3.750 |
16.050 | 17.14000 | 16.59020 | 17.77390 | 17.18020 | 2.347 | Linear interpolation | 2763 | 0.210 |
16.550 | 17.26500 | 16.70970 | 17.89060 | 17.29760 | 2.347 | Linear interpolation | 2764 | 1.140 |
17.050 | 17.39000 | 16.81660 | 18.00750 | 17.41500 | 2.347 | Linear interpolation | 2765 | 0.000 |
17.550 | 17.51500 | 16.91330 | 18.14300 | 17.53230 | 2.347 | Linear interpolation | 2766 | 0.790 |
18.050 | 17.64000 | 17.00270 | 18.28220 | 17.64970 | 2.347 | Linear interpolation | 2767 | 0.900 |
18.550 | 17.76500 | 17.08360 | 18.43860 | 17.76710 | 2.347 | Linear interpolation | 2768 | 0.000 |
19.050 | 18.06100 | 17.47100 | 18.64730 | 18.06260 | 6.098 | Linear interpolation | 2769 | 0.260 |
19.450 | 18.30500 | 17.79510 | 18.81620 | 18.30650 | 6.098 | Linear interpolation | 2770 | 0.270 |
19.950 | 18.61100 | 18.18950 | 19.02980 | 18.61140 | 6.098 | Linear interpolation | 2771 | 0.280 |
20.050 | 18.67200 | 18.26920 | 19.07550 | 18.67240 | 6.098 | Linear interpolation | 2772 | 0.490 |
20.500 | 18.94700 | 18.62400 | 19.27080 | 18.94680 | 6.098 | Linear interpolation | 2773 | 4.440 |
21.000 | 19.25200 | 19.00070 | 19.50030 | 19.25170 | 6.098 | Linear interpolation | 2774 | 1.940 |
21.750 | 19.71000 | 19.50210 | 19.91180 | 19.70900 | 6.098 | Linear interpolation | 2775 | 1.480 |
22.050 | 19.89900 | 19.68310 | 20.11420 | 19.89750 | 8.297 | Linear interpolation | 2776 | 0.430 |
22.550 | 20.31100 | 19.94410 | 20.68060 | 20.31230 | 8.297 | Linear interpolation | 2777 | 1.520 |
23.050 | 20.72400 | 20.09490 | 21.35850 | 20.72720 | 8.297 | Linear interpolation | 2778 | 5.460 |
23.500 | 21.09500 | 20.21160 | 21.98920 | 21.10060 | 8.297 | Linear interpolation | 2779 | 0.300 |
24.000 | 21.50800 | 20.33680 | 22.69330 | 21.51540 | 8.297 | Linear interpolation | 2780 | 0.590 |
24.500 | 21.92000 | 20.46220 | 23.39890 | 21.93030 | 8.297 | Linear interpolation | 2781 | 6.480 |
25.000 | 22.33300 | 20.58610 | 24.11330 | 22.34510 | 8.297 | Linear interpolation | 2782 | 7.100 |
25.550 | 22.78700 | 20.71090 | 24.88380 | 22.80150 | 8.297 | Linear interpolation | 2783 | 2.390 |
26.050 | 23.20000 | 20.82500 | 25.58840 | 23.21630 | 8.297 | Linear interpolation | 2784 | 0.810 |
26.550 | 23.61200 | 20.95810 | 26.29860 | 23.63120 | 8.297 | Linear interpolation | 2785 | 0.590 |
27.050 | 24.02500 | 21.07660 | 27.00540 | 24.04610 | 8.297 | Linear interpolation | 2786 | 0.550 |
27.550 | 24.43700 | 21.19920 | 27.71090 | 24.46090 | 8.297 | Linear interpolation | 2787 | 0.230 |
28.050 | 24.85000 | 21.31210 | 28.40720 | 24.87580 | 8.297 | Linear interpolation | 2788 | 0.470 |
28.500 | 25.22100 | 21.41990 | 29.05540 | 25.24920 | 8.297 | Linear interpolation | 2789 | 16.670 |
29.000 | 25.63400 | 21.54040 | 29.76330 | 25.66400 | 8.297 | Linear interpolation | 2790 | 11.270 |
29.550 | 26.08800 | 21.66820 | 30.54080 | 26.12040 | 8.297 | Linear interpolation | 2791 | 13.290 |
30.050 | 26.50000 | 21.78330 | 31.25080 | 26.53520 | 8.297 | Linear interpolation | 2792 | 11.590 |
30.550 | 26.91300 | 21.89840 | 31.97100 | 26.95010 | 8.297 | Linear interpolation | 2793 | 5.400 |
31.050 | 27.32600 | 22.01350 | 32.67200 | 27.36500 | 8.297 | Linear interpolation | 2794 | 2.450 |
31.550 | 27.73800 | 22.12910 | 33.37140 | 27.77980 | 8.297 | Linear interpolation | 2795 | 1.940 |
32.050 | 28.17000 | 2796 | 0.570 | |||||
32.500 | 28.56500 | 2797 | 1.930 | |||||
33.000 | 29.00500 | 2798 | 0.280 | |||||
33.100 | 29.09200 | 2799 | 0.760 |