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Data Publisher for Earth & Environmental Science

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 MD95-2043 [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.872812

Always quote citation above when using data! You can download the citation in several formats below.

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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):
Abrupt Climate Changes and Environmental Responses (ACER)
Coverage:
Latitude: 36.143333 * Longitude: -2.621167
Date/Time Start: 1995-07-09T00:00:00 * Date/Time End: 1995-07-09T00:00:00
Minimum DEPTH, sediment/rock: 0.070 m * Maximum DEPTH, sediment/rock: 15.750 m
Event(s):
MD95-2043 (MD952043) * Latitude: 36.143333 * Longitude: -2.621167 * Date/Time: 1995-07-09T00:00:00 * Elevation: -1841.0 m * Recovery: 37 m * Location: Alboran Sea * Campaign: MD101 (IMAGES I) * Basis: Marion Dufresne (1995) * Method/Device: Calypso Corer (CALYPSO) * Comment: XXV Sections, OK; liner exploded in section VIII
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
1 DEPTH, sediment/rockDepth sedmGeocode
2 AGEAgeka BPSanchez Goñi, Maria FernandaGeocode – original age
3 Calendar age, minimum/youngCal age minka BPSanchez Goñi, Maria FernandaClassical age-modeling approach, CLAM (Blaauw, 2010)CLAM_min95
4 Calendar age, maximum/oldCal age maxka BPSanchez Goñi, Maria FernandaClassical age-modeling approach, CLAM (Blaauw, 2010)CLAM_max95
5 Calendar ageCal ageka BPSanchez Goñi, Maria FernandaClassical age-modeling approach, CLAM (Blaauw, 2010)CLAM_best
6 Accumulation modelAccu modela/cmSanchez Goñi, Maria FernandaClassical age-modeling approach, CLAM (Blaauw, 2010)
7 Type of age modelAge model typeSanchez Goñi, Maria Fernanda
8 Sample IDSample IDSanchez Goñi, Maria FernandaACER sample ID
9 Pollen, temperate forestPollen te forest%Sanchez Goñi, Maria Fernanda
License:
Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported (CC-BY-NC-ND-3.0)
Size:
1394 data points

Data

Download dataset as tab-delimited text — use the following character encoding:

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 [%]
0.0701.27900547927.380
0.0901.35400548038.830
0.1501.57700548135.190
0.1901.72600548229.900
0.2301.87500548331.190
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0.3302.24800548651.720
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3.0309.25400554249.060
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3.1109.38800554461.060
3.1709.48900554558.490
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6.45013.9510013.7930014.3055014.0268013.245Linear interpolation561231.930
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6.75014.3230014.0742014.8558014.4242013.245Linear interpolation561841.280
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7.39015.9930015.9750016.5298016.2522036.165Linear interpolation56316.310
7.45016.1910016.1619016.7806016.4691036.165Linear interpolation56321.750
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7.85017.6690017.5423017.9897017.7680030.693Linear interpolation56373.150
7.89017.8250017.6655018.1074017.8908030.693Linear interpolation56385.260
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8.25019.4640019.4502019.8753019.6686059.950Linear interpolation56407.230
8.29019.6610019.6823020.1203019.9084059.950Linear interpolation56418.770
8.35019.9560020.0239020.4965020.2681059.950Linear interpolation56426.480
8.39020.1540020.2466020.7486020.5079059.950Linear interpolation564310.700
8.49020.6460020.7875021.3978021.1074059.950Linear interpolation56449.520
8.55020.9420021.1131021.7901021.4671059.950Linear interpolation56456.670
8.59021.1080021.3214022.0305021.6936046.645Linear interpolation56469.570
8.89022.9730022.8135023.3666023.0930046.645Linear interpolation56479.410
8.95023.4400023.1014023.6497023.3728046.645Linear interpolation56487.210
9.05023.7350023.5766024.1295023.8393046.645Linear interpolation56497.480
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9.35024.5980024.9611025.6274025.2386046.645Linear interpolation56557.500
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9.65026.1120026.1740026.9459026.4884025.269Linear interpolation56577.830
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9.85026.9060026.6900027.3714026.9937025.269Linear interpolation56603.880
9.95027.4620026.9201027.6146027.2464025.269Linear interpolation566111.540
10.05028.0150027.1413027.8955027.4991025.269Linear interpolation56623.280
10.21028.5610027.4767028.3817027.9034025.269Linear interpolation56638.870
10.31028.8080027.6799028.7065028.1561025.269Linear interpolation56645.430
10.35028.9070027.7576028.8359028.2572025.269Linear interpolation56657.890
10.55030.1490028.5770029.4863029.0104047.796Linear interpolation56660.870
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10.85031.1640029.6714030.8546030.2605024.819Linear interpolation56698.550
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11.01031.5520030.1048031.2206030.6576024.819Linear interpolation56719.480
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11.15031.8580030.4708031.5477031.0050024.819Linear interpolation567311.300
11.25032.0330030.7273031.7861031.2532024.819Linear interpolation567420.000
11.31032.1600030.8820031.9328031.4021024.819Linear interpolation567513.430
11.35032.3180030.9835032.0330031.5014024.819Linear interpolation567616.940
11.41032.5550031.1343032.1930031.6503024.819Linear interpolation56778.890
11.45032.7130031.2342032.2947031.7496024.819Linear interpolation567812.610
11.51032.9330031.3846032.4497031.8985024.819Linear interpolation56798.150
11.55033.0250031.4868032.5546031.9978024.819Linear interpolation56801.460
11.65033.2540031.7326032.8175032.2459024.819Linear interpolation568122.220
11.71033.3910031.8806032.9809032.3949024.819Linear interpolation568212.500
11.75033.5170031.9764033.0924032.4941024.819Linear interpolation568315.130
11.85034.0820032.2167033.3728032.7423024.819Linear interpolation56845.830
11.95034.6060032.4537033.6459032.9905024.819Linear interpolation56857.140
12.05034.7650032.6885033.9294033.2387024.819Linear interpolation568620.540
12.11034.8600032.8276034.1020033.3876024.819Linear interpolation568717.690
12.15034.9230032.9180034.2222033.4869024.819Linear interpolation568811.030
12.21035.0180033.0543034.3976033.6358024.819Linear interpolation568910.810
12.25035.0820033.1448034.5156033.7351024.819Linear interpolation569017.420
12.31035.1770033.2798034.6918033.8840024.819Linear interpolation569110.200
12.35035.2410033.3750034.8091033.9832024.819Linear interpolation56927.940
12.45035.7870033.6023035.1069034.2314024.819Linear interpolation56932.070
12.51036.1990033.7392035.2804034.3803024.819Linear interpolation56946.250
12.55036.3150033.8266035.4020034.4796024.819Linear interpolation569521.430
12.61036.4900033.9584035.5847034.6285024.819Linear interpolation569615.790
12.65036.6060034.0455035.7000034.7278024.819Linear interpolation569719.830
12.67036.6640034.0884035.7606034.7774024.819Linear interpolation569824.580
12.71036.7800034.1739035.8834034.8767024.819Linear interpolation569921.210
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12.85037.1870034.4796036.2977035.2242024.819Linear interpolation570123.200
12.91037.3610034.6093036.4725035.3731024.819Linear interpolation570214.170
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13.11037.9420035.0407037.0638035.8694024.819Linear interpolation570624.590
13.15038.0590035.1266037.1806035.9687024.819Linear interpolation57079.920
13.25038.3670035.3768037.4978036.2480055.882Linear interpolation570812.500
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13.45039.3060036.5672038.4921037.3656055.882Linear interpolation57132.920
13.51039.5880036.9084038.7918037.7009055.882Linear interpolation57140.000
13.55039.7750037.1310038.9977037.9244055.882Linear interpolation57155.080
13.65040.1300037.6821039.5160038.4833055.882Linear interpolation57166.020
13.71040.2990038.0097039.8373038.8186055.882Linear interpolation571713.640
13.81040.7710038.5428040.3760039.3774055.882Linear interpolation571810.400
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13.95041.1970039.2573041.1664040.1597055.882Linear interpolation572015.380
14.05041.4620039.7583041.7525040.7186055.882Linear interpolation57218.060
14.15041.7220040.2532042.3474041.2774055.882Linear interpolation572212.600
14.17041.7660040.3529042.4672041.3892055.882Linear interpolation572310.240
14.25041.9410040.7487042.9674041.8362055.882Linear interpolation57249.450
14.31042.0730041.0437043.3376042.1715055.882Linear interpolation572512.260
14.45042.3800041.7254044.2121042.9539055.882Linear interpolation572611.020
14.55042.7590042.2109044.8255043.5127055.882Linear interpolation572710.340
14.59042.9550042.4002045.0802043.7362055.882Linear interpolation57281.470
14.65043.2420042.6860045.4554044.0715055.882Linear interpolation57297.410
14.75043.6580043.1503046.1123044.6303055.882Linear interpolation573020.310
14.85044.0740043.6182046.7678045.1892055.882Linear interpolation573112.210
14.95044.4900044.0817047.4259045.7480055.882Linear interpolation573220.420
15.05044.9060044.5466048.0754046.3068055.882Linear interpolation573311.810
15.11045.1550044.8230048.4670046.6421055.882Linear interpolation57346.820
15.15045.3280045.0267048.6975046.8647054.942Linear interpolation57356.140
15.25045.8090045.6971049.1154047.4141054.942Linear interpolation57362.140
15.31046.0970046.0913049.3777047.7438054.942Linear interpolation57374.580
15.41046.6020046.7356049.8497048.2932054.942Linear interpolation57382.990
15.45046.8900046.9844050.0245048.5129054.942Linear interpolation573916.060
15.75048.1130048.7095051.5888050.1612054.942Linear interpolation574013.870