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PANGAEA.
Data Publisher for Earth & Environmental Science

ACER project members; Sanchez Goñi, Maria Fernanda; Desprat, Stéphanie; Daniau, Anne-Laure; Willard, Debra A; Bernhardt, Christopher E; Brooks, Gregg R; Cronin, Thomas M; Edgar, Terence; Larson, Rebekka A (2017): CLAM age model and pollen profile of sediment core MD02-2579 [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.872928

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

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Related to:
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
Willard, Debra A; Bernhardt, Christopher E; Brooks, Gregg R; Cronin, Thomas M; Edgar, Terence; Larson, Rebekka A (2007): Deglacial climate variability in central Florida, USA. Palaeogeography, Palaeoclimatology, Palaeoecology, 251(3-4), 366-382, https://doi.org/10.1016/j.palaeo.2007.04.016
Coverage:
Latitude: 27.787300 * Longitude: -82.517800
Date/Time Start: 2002-07-18T11:48:00 * Date/Time End: 2002-07-18T11:48:00
Minimum DEPTH, sediment/rock: 0.010 m * Maximum DEPTH, sediment/rock: 11.010 m
Event(s):
MD02-2579 (MD022579) * Latitude: 27.787300 * Longitude: -82.517800 * Date/Time: 2002-07-18T11:48:00 * Elevation: -10.0 m * Recovery: 11.15 m * Location: Tampa channel * Campaign: MD127 (IMAGES IX - PAGE) * Basis: Marion Dufresne (1995) * Method/Device: Calypso Corer (CALYPSO)
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
DEPTH, sediment/rockDepth sedmGeocode
Calendar age, minimum/youngCal age minka BPSanchez Goñi, Maria FernandaClassical age-modeling approach, CLAM (Blaauw, 2010)CLAM_min95
Calendar age, maximum/oldCal age maxka BPSanchez Goñi, Maria FernandaClassical age-modeling approach, CLAM (Blaauw, 2010)CLAM_max95
Calendar ageCal ageka BPSanchez Goñi, Maria FernandaClassical age-modeling approach, CLAM (Blaauw, 2010)CLAM_best
Accumulation modelAccu modela/cmSanchez Goñi, Maria FernandaClassical age-modeling approach, CLAM (Blaauw, 2010)
Type of age modelAge model typeSanchez Goñi, Maria Fernanda
Sample IDSample IDSanchez Goñi, Maria FernandaACER sample ID
AcerAce#Willard, Debra ACounting, palynology
AlnusAln#Willard, Debra ACounting, palynology
10 Amaranthaceae/ChenopodiaceaeChen/Amar#Willard, Debra ACounting, palynology
11 AmbrosiaAmb#Willard, Debra ACounting, palynology
12 ApiaceaeApiae#Willard, Debra ACounting, palynology
13 ArtemisiaArt#Willard, Debra ACounting, palynology
14 AsteraceaeAstae#Willard, Debra ACounting, palynology
15 BumeliaBumelia#Willard, Debra ACounting, palynology
16 BurseraBursera#Willard, Debra ACounting, palynology
17 CaryaCya#Willard, Debra ACounting, palynology
18 CaryophyllaceaeCphae#Willard, Debra ACounting, palynology
19 CasuarinaCau#Willard, Debra ACounting, palynology
20 CeltisCel#Willard, Debra ACounting, palynology
21 CephalanthusCeh#Willard, Debra ACounting, palynology
22 CladiumCla#Willard, Debra ACounting, palynology
23 Cupressaceae/Taxaceae/TaxodiaceaeCupressaceae/Taxaceae/Taxodiaceae#Willard, Debra ACounting, palynology
24 CyperaceaeCypae#Willard, Debra ACounting, palynology
25 EricaceaeEriae#Willard, Debra ACounting, palynology
26 EuphorbiaceaeEupae#Willard, Debra ACounting, palynology
27 FabaceaeFabae#Willard, Debra ACounting, palynology
28 FraxinusFrx#Willard, Debra ACounting, palynology
29 IlexIle#Willard, Debra ACounting, palynology
30 Pollen indeterminataPollen indet#Willard, Debra ACounting, palynology
31 JuglansJug#Willard, Debra ACounting, palynology
32 LiquidambarLiq#Willard, Debra ACounting, palynology
33 MagnoliaMagnolia#Willard, Debra ACounting, palynology
34 MorellaMorella#Willard, Debra ACounting, palynology
35 MyriophyllumMyo#Willard, Debra ACounting, palynology
36 NupharNup#Willard, Debra ACounting, palynology
37 NyssaNys#Willard, Debra ACounting, palynology
38 OnagraceaeOnaae#Willard, Debra ACounting, palynology
39 Osmunda regalisOsm.r#Willard, Debra ACounting, palynology
40 OstryaOst#Willard, Debra ACounting, palynology
41 PinusPin#Willard, Debra ACounting, palynology
42 PoaceaePoac#Willard, Debra ACounting, palynology
43 PolygalaceaePgaae#Willard, Debra ACounting, palynology
44 PolygonaceaePolae#Willard, Debra ACounting, palynology
45 PolypodialesPoles#Willard, Debra ACounting, palynology
46 Pteris longifoliaP. longifolia#Willard, Debra ACounting, palynology
47 QuercusQue#Willard, Debra ACounting, palynology
48 SagittariaSgt#Willard, Debra ACounting, palynology
49 SalixSal#Willard, Debra ACounting, palynology
50 ThalictrumTha#Willard, Debra ACounting, palynology
51 TsugaTsu#Willard, Debra ACounting, palynology
52 TyphaTyp#Willard, Debra ACounting, palynology
53 UlmusUlm#Willard, Debra ACounting, palynology
54 UnknownUnknown#Willard, Debra ACounting, palynology
55 UtriculariaUtr#Willard, Debra ACounting, palynology
56 WaltheriaWaltheria#Willard, Debra ACounting, palynology
Size:
13023 data points

Data

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


Depth sed [m]

Cal age min [ka BP]

Cal age max [ka BP]

Cal age [ka BP]

Accu model [a/cm]

Age model type

Sample ID

Ace [#]

Aln [#]
10 
Chen/Amar [#]
11 
Amb [#]
12 
Apiae [#]
13 
Art [#]
14 
Astae [#]
15 
Bumelia [#]
16 
Bursera [#]
17 
Cya [#]
18 
Cphae [#]
19 
Cau [#]
20 
Cel [#]
21 
Ceh [#]
22 
Cla [#]
23 
Cupressaceae/Taxaceae/Taxodiaceae [#]
24 
Cypae [#]
25 
Eriae [#]
26 
Eupae [#]
27 
Fabae [#]
28 
Frx [#]
29 
Ile [#]
30 
Pollen indet [#]
31 
Jug [#]
32 
Liq [#]
33 
Magnolia [#]
34 
Morella [#]
35 
Myo [#]
36 
Nup [#]
37 
Nys [#]
38 
Onaae [#]
39 
Osm.r [#]
40 
Ost [#]
41 
Pin [#]
42 
Poac [#]
43 
Pgaae [#]
44 
Polae [#]
45 
Poles [#]
46 
P. longifolia [#]
47 
Que [#]
48 
Sgt [#]
49 
Sal [#]
50 
Tha [#]
51 
Tsu [#]
52 
Typ [#]
53 
Ulm [#]
54 
Unknown [#]
55 
Utr [#]
56 
Waltheria [#]
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3.25012.2597012.7541012.4898020.365Polynomial regression-order 32074000252100000000000000000000000000000312000018300000000
3.27012.3037012.7852012.5302019.760Polynomial regression-order 32074100220000000100000000000000000000000622002015100000000
3.29012.3475012.8157012.5695019.165Polynomial regression-order 32074200231100000400000000000000000000000289000028200020000
3.31012.3873012.8455012.6075018.579Polynomial regression-order 3207430050200100300000001000010000000000234300002200000100
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3.35012.4647012.9017012.6801017.438Polynomial regression-order 320745001222000000000010000000000000000001203001044300000000
3.37012.5023012.9273012.7147016.883Polynomial regression-order 320746011002002002000000000000000000000011468001045500000000
3.39012.5388012.9537012.7482016.337Polynomial regression-order 320747007050020010000001000000000000000010211001089200000000
3.41012.5728012.9783012.7806015.801Polynomial regression-order 32074800462000000000000000000000000000001641001018100001100
3.43012.6065013.0019012.8119015.276Polynomial regression-order 320749001102003000000001000000000000000008012000065200002000
3.45012.6382013.0256012.8422014.760Polynomial regression-order 320750001025001003000000100000100000000001199000060100001000
3.47012.6682013.0483012.8715014.254Polynomial regression-order 320751001275000001000200000000100000000001168000060000010000
3.49012.6972013.0708012.8997013.758Polynomial regression-order 320752001001000002000000000000200000000001287002057100000000
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3.57012.8041013.1636013.0031011.873Polynomial regression-order 32075600125400300300001010000000000000000779000080100000000
3.59012.8288013.1856013.0266011.427Polynomial regression-order 3207570114311003002000000500000000000000001818003097000010000
3.61012.8529013.2075013.0493010.991Polynomial regression-order 3207580029280000090000000000000000200000010029000083000011000
3.63012.8750013.2289013.0710010.564Polynomial regression-order 32075900948000003000000300000000010000001622001073200010000
3.65012.8967013.2500013.0919010.148Polynomial regression-order 32076000977000002000000000000100000000001324002078000000000
3.67012.9178013.2704013.112009.741Polynomial regression-order 32076100615000000000000100000000000000002722000064000010000
3.69012.9371013.2900013.131309.345Polynomial regression-order 32076200507000002000000100000000000000001511002068000022000
3.71012.9563013.3097013.149808.958Polynomial regression-order 3207630033150030080000000000001000000000019019000026100030000
3.73012.9756013.3292013.167508.582Polynomial regression-order 320764001026000002000010000000001000020001526000040100000000
3.75012.9946013.3489013.184508.215Polynomial regression-order 32076500473000002000000000000000000000006011001051000010000
3.77013.0113013.3674013.200807.858Polynomial regression-order 32076600462000000000110000000001000000005813000065000010000
3.79013.0265013.3845013.216307.511Polynomial regression-order 32076700694000000000010000000001010000004013000093000010000
3.81013.0419013.4016013.231207.174Polynomial regression-order 3207680035300000200000000000000000000000418002042000010000
3.83013.0575013.4179013.245306.847Polynomial regression-order 3207690057800000100002000000000000000000496000084100000000
3.85013.0724013.4328013.258906.530Polynomial regression-order 32077000778000002000000200000000000000001528000062000011000
3.87013.0858013.4469013.271806.223Polynomial regression-order 32077100573001001000020000000000000000005610002043000010000
3.89013.0989013.4609013.284105.926Polynomial regression-order 320772001101001001000110100000000000000008113000091200010000
3.91013.1122013.4750013.295805.639Polynomial regression-order 32077300141200000110000000000000030100000020638010013100031100
3.93013.1240013.4878013.306905.361Polynomial regression-order 3207740010830000030000100000000000100000010314000065100001000
3.95013.1355013.5000013.317505.094Polynomial regression-order 320775001205001006000100300000000000000008414020075000000000
3.97013.1468013.5122013.327604.836Polynomial regression-order 320776008310000050000000000001010100000010326001089000000000
3.99013.1576013.5236013.337104.589Polynomial regression-order 32077700790000004000000000000000000000006811000055000000000
4.01013.1681013.5334013.346204.351Polynomial regression-order 320778004010000002000000000000000000000002044001036410050000
4.03013.1773013.5440013.354804.124Polynomial regression-order 320779002210002026000000000000100000000002488000015000000000
4.05013.1870013.5526013.362903.906Polynomial regression-order 3207800028130080070000000000000000200001020014011027000001000
4.07013.1965013.5620013.370603.698Polynomial regression-order 3207810031120010030000100000000000200000019216001041200011000
4.09013.2059013.5700013.377903.500Polynomial regression-order 320782001870030130001000000000000000000024312010024000010000
4.11013.2148013.5776013.384803.313Polynomial regression-order 320783003580000041000001000000000300000020117000039000000000
4.13013.2229013.5845013.391303.135Polynomial regression-order 3207840053180020010000000000000020210000018023000055100031000
4.15013.2305013.5911013.397502.967Polynomial regression-order 3207850241120030020000100000000000000000018211000052000043000
4.17013.2370013.5977013.403402.809Polynomial regression-order 3207860060120010040000000000001010000000017015000050110011000
4.19013.2439013.6048013.408902.661Polynomial regression-order 3207870076120020020000000000000000100000013812001077200021000
4.21013.2515013.6109013.414202.522Polynomial regression-order 32078800655002003000000000000100000000001619002077100003000
4.23013.2582013.6161013.419102.394Polynomial regression-order 3207890067110000020000012000000000100000015614000069300025000
4.25013.2647013.6217013.423902.276Polynomial regression-order 320790003880010030000000000000020000000019514000057000020000
4.27013.2706013.6265013.428402.167Polynomial regression-order 320791013011001003000000000000001000010002154002051100021000
4.29013.2771013.6306013.432702.069Polynomial regression-order 3207920223160000050000000000000030400000023011000037600030000
4.31013.2830013.6350013.436801.981Polynomial regression-order 3207930143140010000000000000000020200000020412000033300030000
4.33013.2891013.6385013.440701.902Polynomial regression-order 32079400427002004000000000000000020000001609001053300012000
4.35013.2949013.6415013.444401.833Polynomial regression-order 3207950159700100500000011000001010000001871100006150002000
4.37013.2996013.6444013.448101.775Polynomial regression-order 320796003580010040000000000000010200000020213000037300030000
4.39013.3047013.6476013.451601.726Polynomial regression-order 32079702605001004000000010000101010000001527020044100010000
4.41013.3095013.6505013.455001.687Polynomial regression-order 32079800844000001000000000000001000000001507000073200021000
4.43013.3153013.6540013.458401.658Polynomial regression-order 32079900110600110010000001000000000000000010611000062100041000
4.45013.3199013.6559013.461701.639Polynomial regression-order 320800011034000004000000500000001000000001307002067000001000
4.47013.3244013.6586013.465001.631Polynomial regression-order 320801001138005002000000100000001000000001179001056100012000
4.49013.3288013.6614013.468201.631Polynomial regression-order 32080201160600200200000120000000003000000749000066200022000
4.51013.3340013.6641013.471501.642Polynomial regression-order 320803004280060080000000000000000200000020015000032000010000
4.53013.3389013.6667013.474801.663Polynomial regression-order 3208040010810002005000100200000000020000001097000067000010000
4.55013.3445013.6694013.478101.694Polynomial regression-order 3208050012680040010000001000100010000000012510000065000011000
4.57013.3504013.6715013.481501.735Polynomial regression-order 320806001264002001000001200030000000000001186010057200021001
4.59013.3567013.6738013.485001.785Polynomial regression-order 320807001118006001000002300000000000000001207000054210040000
4.61013.3616013.6760013.488601.846Polynomial regression-order 32080800492001004000000000000000000000001954010059100010000
4.63013.3671013.6792013.492401.917Polynomial regression-order 320809001033004006000006100000001000000001286000059000036000
4.65013.3723013.6811013.496201.997Polynomial regression-order 32081010609003002000001300000000000000021564000072000013000
4.67013.3780013.6839013.500302.087Polynomial regression-order 32081101526003005000002000000001000000001685000066010002000
4.69013.3839013.6861013.504502.188Polynomial regression-order 32081200525002005000002000000001010000001505000075000001000
4.71013.3897013.6889013.508902.298Polynomial regression-order 3208130030600200200000001100000040100000021712010035000002000
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4.79013.4140013.7009013.529102.839Polynomial regression-order 320817005450070090000010000101010000000017312100041010013000
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4.91013.4602013.7283013.568903.948Polynomial regression-order 3208230035600100190000001000003020200000022010000025000026000
4.93013.4687013.7342013.576904.167Polynomial regression-order 320824004970040016000101000000200010000001904000031000032000
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5.01013.5067013.7614013.613605.145Polynomial regression-order 320828002200030018000000110000201010000002436000028000002000
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5.59014.0889014.3147014.2092016.990Polynomial regression-order 3208570068220060053000001200000004000020007715011068010011000
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6.47016.9219017.1543017.0393050.923Polynomial regression-order 320900001503001003000000020001010002001000821004036000010000
6.49017.0250017.2562017.1416051.918Polynomial regression-order 320901001424000003700000000000020000002000851026027000011000
6.51017.1298017.3594017.2460052.923Polynomial regression-order 320902002105003002300000140000040100000000586012026000046000
6.53017.2371017.4652017.3523053.937Polynomial regression-order 320903001770001003800000010000010100000000522020019000011000
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6.99020.2678020.5686020.4001080.019Polynomial regression-order 3209260021219003002500000010000000300000000810020038000010000
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