Not logged in
PANGAEA.
Data Publisher for Earth & Environmental Science

ACER project members; Sanchez Goñi, Maria Fernanda; Desprat, Stéphanie; Daniau, Anne-Laure; Harle, Katherine J; Heijnis, Henk; Chisari, R; Kershaw, A Peter; Zoppi, U; Jacobsen, Geraldine (2017): CLAM age model and microcharcoal of sediment core Lake_Wangoom [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.872570

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

RIS CitationBibTeX CitationShow MapGoogle Earth

Related to:
Harle, Katherine J; Heijnis, Henk; Chisari, R; Kershaw, A Peter; Zoppi, U; Jacobsen, Geraldine (2002): A chronology for the long pollen record from Lake Wangoom, western Victoria (Australia) as derived from uranium/thorium disequilibrium dating. Journal of Quaternary Science, 17(7), 707-720, https://doi.org/10.1002/jqs.684
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
Coverage:
Latitude: -38.350000 * Longitude: 142.600000
Minimum DEPTH, sediment/rock: 1.915 m * Maximum DEPTH, sediment/rock: 40.865 m
Event(s):
Lake_Wangoom (LW87) * Latitude: -38.350000 * Longitude: 142.600000 * Elevation: 100.0 m
Size:
576 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

Charcoal [arbitrary units]

Unit

Sample ID
1.9150.00Charcoal to Pollen Ratio22176
3.6289.752212.009010.572439.020Linear regression0.00Charcoal to Pollen Ratio22177
3.76310.294912.484211.097639.020Linear regression2671480.10Charcoal to Pollen Ratio22178
3.89710.840712.959911.623239.020Linear regression1010830.30Charcoal to Pollen Ratio22179
4.03911.413813.460712.177639.020Linear regression3971119.10Charcoal to Pollen Ratio22180
4.30912.498114.416313.228439.020Linear regression1010830.30Charcoal to Pollen Ratio22181
4.58613.614415.403014.308539.020Linear regression2310469.30Charcoal to Pollen Ratio22182
5.06415.518317.137816.176439.020Linear regression361010.83Charcoal to Pollen Ratio22183
5.67817.912219.375518.569839.020Linear regression361010.83Charcoal to Pollen Ratio22184
5.88718.714620.167719.387339.020Linear regression1335740.10Charcoal to Pollen Ratio22185
6.08919.483520.930520.175139.020Linear regression1335740.10Charcoal to Pollen Ratio22186
6.22419.998721.449220.700739.020Linear regression3971119.10Charcoal to Pollen Ratio22187
6.50121.043722.553121.780839.020Linear regression1660649.80Charcoal to Pollen Ratio22188
6.71021.827023.412622.597839.020Linear regression5631769.00Charcoal to Pollen Ratio22189
6.84522.333523.967523.123439.020Linear regression7292418.80Charcoal to Pollen Ratio22190
6.97922.834524.520123.648639.020Linear regression6967509.00Charcoal to Pollen Ratio22191
7.18923.614825.384924.466139.020Linear regression4296028.90Charcoal to Pollen Ratio22192
7.32324.122225.945024.991339.020Linear regression8916967.50Charcoal to Pollen Ratio22193
7.66725.395627.369626.334039.020Linear regression1660649.80Charcoal to Pollen Ratio22194
8.07926.917129.080727.939339.020Linear regression3971119.10Charcoal to Pollen Ratio22195
8.34827.895230.203128.990139.020Linear regression4981949.50Charcoal to Pollen Ratio22196
10.67536.167739.915638.067639.020Linear regression361010.83Charcoal to Pollen Ratio22197
10.74236.410040.196238.330239.020Linear regression0.00Charcoal to Pollen Ratio22198
10.95137.151941.073239.147739.020Linear regression1010830.30Charcoal to Pollen Ratio22199
11.22838.117242.240840.227739.020Linear regression0.00Charcoal to Pollen Ratio22200
12.18641.469146.241943.963839.020Linear regression7617328.50Charcoal to Pollen Ratio22201
12.32041.946246.805944.489139.020Linear regression12563177.00Charcoal to Pollen Ratio22202
12.45542.415647.367045.014339.020Linear regression3321299.60Charcoal to Pollen Ratio22203
12.93444.097749.370846.882539.020Linear regression361010.83Charcoal to Pollen Ratio22204
14.03347.921953.994251.173139.020Linear regression361010.83Charcoal to Pollen Ratio22205
14.23548.615754.848251.961339.020Linear regression1010830.30Charcoal to Pollen Ratio22206
14.44549.332055.733852.778439.020Linear regression361010.83Charcoal to Pollen Ratio22207
15.60453.421260.603357.302739.020Linear regression361010.83Charcoal to Pollen Ratio22208
15.67153.663960.884657.565339.020Linear regression685920.58Charcoal to Pollen Ratio22209
15.74653.933261.197457.857239.020Linear regression361010.83Charcoal to Pollen Ratio22210
16.22555.618563.211359.725539.020Linear regression685920.58Charcoal to Pollen Ratio22211
16.29255.852263.494359.988139.020Linear regression1010830.30Charcoal to Pollen Ratio22212
16.42756.318364.068760.513339.020Linear regression361010.83Charcoal to Pollen Ratio22213
16.97358.213666.377162.644139.020Linear regression361010.83Charcoal to Pollen Ratio22214
17.11558.702166.971463.198639.020Linear regression1010830.30Charcoal to Pollen Ratio22215
17.18258.938967.250963.461239.020Linear regression361010.83Charcoal to Pollen Ratio22216
18.40963.196272.398368.248139.020Linear regression361010.83Charcoal to Pollen Ratio22217
18.48463.462972.711368.540039.020Linear regression685920.58Charcoal to Pollen Ratio22218
18.55163.702972.996868.803039.020Linear regression361010.83Charcoal to Pollen Ratio22219
19.03065.391775.016670.670939.020Linear regression361010.83Charcoal to Pollen Ratio22220
19.64467.542177.603373.064339.020Linear regression1335740.10Charcoal to Pollen Ratio22221
20.05568.997579.344174.669639.020Linear regression685920.58Charcoal to Pollen Ratio22222
20.66871.125181.923177.063139.020Linear regression1010830.30Charcoal to Pollen Ratio22223
20.74371.386082.235877.354939.020Linear regression361010.83Charcoal to Pollen Ratio22224
21.14772.797083.924478.931339.020Linear regression1660649.80Charcoal to Pollen Ratio22225
21.22273.059084.237079.223239.020Linear regression361010.83Charcoal to Pollen Ratio22226
21.70174.761086.253581.091139.020Linear regression361010.83Charcoal to Pollen Ratio22227
21.97075.702187.379882.141939.020Linear regression1010830.30Charcoal to Pollen Ratio22228
22.38177.134189.115883.747139.020Linear regression1010830.30Charcoal to Pollen Ratio22229
22.65878.092790.288684.827239.020Linear regression1010830.30Charcoal to Pollen Ratio22230
22.7931335740.10Charcoal to Pollen Ratio22231
23.137685920.58Charcoal to Pollen Ratio22232
23.4061335740.10Charcoal to Pollen Ratio22233
23.960361010.83Charcoal to Pollen Ratio22234
24.094361010.83Charcoal to Pollen Ratio22235
24.6408916967.50Charcoal to Pollen Ratio22236
25.052361010.83Charcoal to Pollen Ratio22237
26.421361010.83Charcoal to Pollen Ratio22238
26.6303646209.40Charcoal to Pollen Ratio22239
27.3111335740.10Charcoal to Pollen Ratio22240
27.9241010830.30Charcoal to Pollen Ratio22241
28.2011335740.10Charcoal to Pollen Ratio22242
28.6131010830.30Charcoal to Pollen Ratio22243
28.8151010830.30Charcoal to Pollen Ratio22244
28.9572996389.90Charcoal to Pollen Ratio22245
29.1591335740.10Charcoal to Pollen Ratio22246
29.2931335740.10Charcoal to Pollen Ratio22247
29.4351985559.60Charcoal to Pollen Ratio22248
29.6371335740.10Charcoal to Pollen Ratio22249
30.3261985559.60Charcoal to Pollen Ratio22250
30.5951335740.10Charcoal to Pollen Ratio22251
31.5522310469.30Charcoal to Pollen Ratio22252
31.9641010830.30Charcoal to Pollen Ratio22253
32.5852996389.90Charcoal to Pollen Ratio22254
32.7871985559.60Charcoal to Pollen Ratio22255
32.9962671480.10Charcoal to Pollen Ratio22256
33.2652671480.10Charcoal to Pollen Ratio22257
33.3333971119.10Charcoal to Pollen Ratio22258
33.5423971119.10Charcoal to Pollen Ratio22259
33.6772310469.30Charcoal to Pollen Ratio22260
33.8863971119.10Charcoal to Pollen Ratio22261
34.3652671480.10Charcoal to Pollen Ratio22262
34.5671335740.10Charcoal to Pollen Ratio22263
34.9113321299.60Charcoal to Pollen Ratio22264
35.5241010830.30Charcoal to Pollen Ratio22265
36.4821010830.30Charcoal to Pollen Ratio22266
36.6911660649.80Charcoal to Pollen Ratio22267
36.8931010830.30Charcoal to Pollen Ratio22268
37.6491335740.10Charcoal to Pollen Ratio22269
37.8513321299.60Charcoal to Pollen Ratio22270
38.0603321299.60Charcoal to Pollen Ratio22271
38.1951335740.10Charcoal to Pollen Ratio22272
39.295361010.83Charcoal to Pollen Ratio22273
39.631361010.83Charcoal to Pollen Ratio22274
40.3191660649.80Charcoal to Pollen Ratio22275
40.663685920.58Charcoal to Pollen Ratio22276
40.86514223827.00Charcoal to Pollen Ratio22277