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ACER project members; Sanchez Goñi, Maria Fernanda; Desprat, Stéphanie; Daniau, Anne-Laure; Kershaw, A Peter; Bretherton, Sophie C; van der Kaars, Sander (2017): CLAM age model and microcharcoal of sediment core Lynchs_Crater [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.872571

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

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Related to:
Kershaw, A Peter; Bretherton, Sophie C; van der Kaars, Sander (2007): A complete pollen record of the last 230 ka from Lynch's Crater, north-eastern Australia. Palaeogeography, Palaeoclimatology, Palaeoecology, 251(1), 23-45, https://doi.org/10.1016/j.palaeo.2007.02.015
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
Project(s):
Abrupt Climate Changes and Environmental Responses (ACER)
Coverage:
Latitude: -17.366670 * Longitude: 145.700000
Minimum DEPTH, sediment/rock: 0.100 m * Maximum DEPTH, sediment/rock: 65.850 m
Event(s):
Lynchs_Crater * Latitude: -17.366670 * Longitude: 145.700000 * Elevation: 760.0 m
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
1 DEPTH, sediment/rockDepth sedmGeocode
2 Calendar age, minimum/youngCal age minka BPSanchez Goñi, Maria FernandaClassical age-modeling approach, CLAM (Blaauw, 2010)CLAM_min95
3 Calendar age, maximum/oldCal age maxka BPSanchez Goñi, Maria FernandaClassical age-modeling approach, CLAM (Blaauw, 2010)CLAM_max95
4 Calendar ageCal ageka BPSanchez Goñi, Maria FernandaClassical age-modeling approach, CLAM (Blaauw, 2010)CLAM_best
5 Accumulation modelAccu modela/cmSanchez Goñi, Maria FernandaClassical age-modeling approach, CLAM (Blaauw, 2010)
6 Type of age modelAge model typeSanchez Goñi, Maria Fernanda
7 CharcoalCharcoalarbitrary unitsKershaw, A Peter
8 UnitUnitKershaw, A Peter
9 Sample IDSample IDSanchez Goñi, Maria FernandaACER sample ID
License:
Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported (CC-BY-NC-ND-3.0)
Size:
1227 data points

Data

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

1 
Depth sed [m]		2 
Cal age min [ka BP]		3 
Cal age max [ka BP]		4 
Cal age [ka BP]		5 
Accu model [a/cm]		6 
Age model type		7 
Charcoal [arbitrary units]		8 
Unit		9 
Sample ID
0.100124300.0000frag/cm**3 (conc)4405
0.200583200.0000frag/cm**3 (conc)4406
0.30026300.0000frag/cm**3 (conc)4407
0.40024192.0000frag/cm**3 (conc)4408
0.50021702.0000frag/cm**3 (conc)4409
0.60025920.0000frag/cm**3 (conc)4410
0.70090100.0000frag/cm**3 (conc)4411
0.800547200.0000frag/cm**3 (conc)4412
1.0008.006310.28298.912560.099Polynomial regression-order 3316800.0000frag/cm**3 (conc)4413
1.2509.527111.641310.394458.390Polynomial regression-order 3233280.0000frag/cm**3 (conc)4414
1.50010.994312.957311.834056.714Polynomial regression-order 31702080.0000frag/cm**3 (conc)4415
1.75012.399714.240213.232055.073Polynomial regression-order 3766080.0000frag/cm**3 (conc)4416
2.00013.759115.495914.589553.466Polynomial regression-order 3393120.0000frag/cm**3 (conc)4417
2.25015.072816.746715.907251.893Polynomial regression-order 3262383.0000frag/cm**3 (conc)4418
2.50016.347717.974317.186050.353Polynomial regression-order 3483840.0000frag/cm**3 (conc)4419
2.75017.582419.194018.426748.848Polynomial regression-order 3115776.0000frag/cm**3 (conc)4420
3.00018.773620.409819.630247.377Polynomial regression-order 328800.0000frag/cm**3 (conc)4421
3.25019.929121.608520.797345.940Polynomial regression-order 325200.0000frag/cm**3 (conc)4422
3.50021.049222.775421.928944.537Polynomial regression-order 335640.0000frag/cm**3 (conc)4423
3.75022.143923.909823.025843.168Polynomial regression-order 334200.0000frag/cm**3 (conc)4424
4.25024.226126.073625.119140.532Polynomial regression-order 311475.0000frag/cm**3 (conc)4425
4.50025.218227.109626.117139.265Polynomial regression-order 3189000.0000frag/cm**3 (conc)4426
4.75026.184728.113127.083838.032Polynomial regression-order 374700.0000frag/cm**3 (conc)4427
5.00027.123929.069728.020236.833Polynomial regression-order 34050.0000frag/cm**3 (conc)4428
5.25028.029030.001728.927035.669Polynomial regression-order 334650.0000frag/cm**3 (conc)4429
5.50028.903830.906829.805134.538Polynomial regression-order 3270.0000frag/cm**3 (conc)4430
5.75029.751831.773630.655333.441Polynomial regression-order 348600.0000frag/cm**3 (conc)4431
6.00030.568632.605831.478532.378Polynomial regression-order 388200.0000frag/cm**3 (conc)4432
6.25031.361533.417332.275531.350Polynomial regression-order 357600.0000frag/cm**3 (conc)4433
6.50032.128834.201033.047330.355Polynomial regression-order 374160.0000frag/cm**3 (conc)4434
6.75032.878734.955033.794529.394Polynomial regression-order 366960.0000frag/cm**3 (conc)4435
7.00033.601935.681734.518228.468Polynomial regression-order 3126000.0000frag/cm**3 (conc)4436
7.25034.297936.384235.219127.575Polynomial regression-order 3146880.0000frag/cm**3 (conc)4437
7.50034.978637.061135.898126.717Polynomial regression-order 3250992.0000frag/cm**3 (conc)4438
7.75035.639537.715836.556125.892Polynomial regression-order 3234720.0000frag/cm**3 (conc)4439
8.00036.275938.349537.193825.102Polynomial regression-order 3111920.0000frag/cm**3 (conc)4440
8.25036.890438.959037.812224.345Polynomial regression-order 3335520.0000frag/cm**3 (conc)4441
8.50037.489139.554838.412123.623Polynomial regression-order 3710640.0000frag/cm**3 (conc)4442
8.75038.070140.132638.994422.935Polynomial regression-order 3149760.0000frag/cm**3 (conc)4443
9.00038.631040.681839.559822.280Polynomial regression-order 379200.0000frag/cm**3 (conc)4444
9.25039.163341.218340.109321.660Polynomial regression-order 39000.0000frag/cm**3 (conc)4445
9.50039.688941.741440.643721.074Polynomial regression-order 32520.0000frag/cm**3 (conc)4446
9.75040.202842.252541.163820.521Polynomial regression-order 31360.0000frag/cm**3 (conc)4447
10.00040.703242.751241.670620.003Polynomial regression-order 34218.0000frag/cm**3 (conc)4448
10.25041.186643.236142.164819.519Polynomial regression-order 31000.0000frag/cm**3 (conc)4449
10.50041.661743.710342.647319.069Polynomial regression-order 31000.0000frag/cm**3 (conc)4450
10.75042.132644.175943.118918.653Polynomial regression-order 3700.0000frag/cm**3 (conc)4451
11.00042.584944.631443.580618.271Polynomial regression-order 32068.0000frag/cm**3 (conc)4452
11.25043.032145.078644.033117.923Polynomial regression-order 32880.0000frag/cm**3 (conc)4453
11.50043.468145.519944.477317.609Polynomial regression-order 34320.0000frag/cm**3 (conc)4454
11.75043.898245.956244.914117.329Polynomial regression-order 32000.0000frag/cm**3 (conc)4455
12.00044.319846.390245.344317.083Polynomial regression-order 31363.0000frag/cm**3 (conc)4456
12.25044.730346.815545.768816.871Polynomial regression-order 31648.0000frag/cm**3 (conc)4457
12.50045.139747.239946.188316.693Polynomial regression-order 31500.0000frag/cm**3 (conc)4458
12.75045.547547.656346.603816.549Polynomial regression-order 35948.0000frag/cm**3 (conc)4459
13.00045.952148.076347.016216.439Polynomial regression-order 34000.0000frag/cm**3 (conc)4460
13.25046.346948.502647.426216.363Polynomial regression-order 323800.0000frag/cm**3 (conc)4461
13.50046.739748.923347.834716.322Polynomial regression-order 31418.0000frag/cm**3 (conc)4462
13.75047.135049.342148.242616.314Polynomial regression-order 31000.0000frag/cm**3 (conc)4463
14.25047.927950.184849.059816.400Polynomial regression-order 31345.0000frag/cm**3 (conc)4464
14.50048.323250.608349.470916.495Polynomial regression-order 32220.0000frag/cm**3 (conc)4465
14.75048.734151.042249.884716.623Polynomial regression-order 3725.0000frag/cm**3 (conc)4466
15.00049.140251.472650.302216.786Polynomial regression-order 31084.0000frag/cm**3 (conc)4467
15.25049.549451.904350.724116.982Polynomial regression-order 31000.0000frag/cm**3 (conc)4468
15.50049.960752.347951.151317.213Polynomial regression-order 34310.0000frag/cm**3 (conc)4469
15.75050.385252.798351.584817.477Polynomial regression-order 32866.0000frag/cm**3 (conc)4470
16.00050.824053.252952.025217.776Polynomial regression-order 32000.0000frag/cm**3 (conc)4471
16.25051.251453.708852.473518.108Polynomial regression-order 311478.0000frag/cm**3 (conc)4472
16.50051.698254.167852.930618.475Polynomial regression-order 33666.0000frag/cm**3 (conc)4473
16.75052.152754.642253.397218.876Polynomial regression-order 33666.0000frag/cm**3 (conc)4474
17.00052.611855.126853.874219.310Polynomial regression-order 33517.0000frag/cm**3 (conc)4475
17.25053.086955.623854.362519.779Polynomial regression-order 34129.0000frag/cm**3 (conc)4476
17.50053.583656.131354.862920.282Polynomial regression-order 32000.0000frag/cm**3 (conc)4477
17.75054.082856.650755.376420.818Polynomial regression-order 36134.0000frag/cm**3 (conc)4478
18.00054.600557.179855.903621.389Polynomial regression-order 32000.0000frag/cm**3 (conc)4479
18.25055.114757.730156.445521.994Polynomial regression-order 34186.0000frag/cm**3 (conc)4480
18.50055.654358.303257.003022.633Polynomial regression-order 32129.0000frag/cm**3 (conc)4481
18.75056.218058.898557.576823.306Polynomial regression-order 33000.0000frag/cm**3 (conc)4482
19.00056.793759.503458.167824.013Polynomial regression-order 32760.0000frag/cm**3 (conc)4483
19.25057.386560.144758.777024.754Polynomial regression-order 35530.0000frag/cm**3 (conc)4484
19.50057.990360.813259.405125.529Polynomial regression-order 31466.0000frag/cm**3 (conc)4485
19.75058.602861.518460.052926.338Polynomial regression-order 31226.0000frag/cm**3 (conc)4486
20.00059.245462.245060.721427.181Polynomial regression-order 33030.0000frag/cm**3 (conc)4487
20.25059.902463.004361.411428.058Polynomial regression-order 317506.0000frag/cm**3 (conc)4488
20.50060.585263.791162.123728.969Polynomial regression-order 316642.0000frag/cm**3 (conc)4489
20.75061.290764.617462.859229.914Polynomial regression-order 314252.0000frag/cm**3 (conc)4490
21.00062.006465.477163.618730.894Polynomial regression-order 320563.0000frag/cm**3 (conc)4491
21.25062.746166.348864.403231.907Polynomial regression-order 32752.0000frag/cm**3 (conc)4492
21.50063.495967.266965.213332.954Polynomial regression-order 319720.0000frag/cm**3 (conc)4493
21.75064.273268.247366.050134.035Polynomial regression-order 323977.0000frag/cm**3 (conc)4494
22.00065.069269.259366.914335.151Polynomial regression-order 313176.0000frag/cm**3 (conc)4495
22.25065.894670.271867.806836.300Polynomial regression-order 38755.0000frag/cm**3 (conc)4496
22.50066.730471.372868.728437.483Polynomial regression-order 329184.0000frag/cm**3 (conc)4497
22.75067.580572.467169.680038.701Polynomial regression-order 314568.0000frag/cm**3 (conc)4498
23.00068.462073.631970.662539.952Polynomial regression-order 335180.0000frag/cm**3 (conc)4499
23.25069.349174.833771.676641.238Polynomial regression-order 317302.0000frag/cm**3 (conc)4500
23.50070.241576.088772.7234Polynomial regression-order 38312.0000frag/cm**3 (conc)4501
23.7505000.0000frag/cm**3 (conc)4502
24.00010410.0000frag/cm**3 (conc)4503
24.2508000.0000frag/cm**3 (conc)4504
24.5004000.0000frag/cm**3 (conc)4505
24.7503000.0000frag/cm**3 (conc)4506
25.0005000.0000frag/cm**3 (conc)4507
25.2505690.0000frag/cm**3 (conc)4508
25.5005760.0000frag/cm**3 (conc)4509
25.7504000.0000frag/cm**3 (conc)4510
26.0003000.0000frag/cm**3 (conc)4511
26.2503000.0000frag/cm**3 (conc)4512
26.5002000.0000frag/cm**3 (conc)4513
26.7501742.0000frag/cm**3 (conc)4514
27.0002270.0000frag/cm**3 (conc)4515
27.2502000.0000frag/cm**3 (conc)4516
27.5002000.0000frag/cm**3 (conc)4517
27.7502210.0000frag/cm**3 (conc)4518
28.0002880.0000frag/cm**3 (conc)4519
28.2502156.0000frag/cm**3 (conc)4520
28.5002132.0000frag/cm**3 (conc)4521
28.7501500.0000frag/cm**3 (conc)4522
29.0001500.0000frag/cm**3 (conc)4523
29.2502840.0000frag/cm**3 (conc)4524
29.5005798.0000frag/cm**3 (conc)4525
29.7503000.0000frag/cm**3 (conc)4526
30.0002000.0000frag/cm**3 (conc)4527
30.2504496.0000frag/cm**3 (conc)4528
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30.7502160.0000frag/cm**3 (conc)4530
31.0008812.0000frag/cm**3 (conc)4531
31.7501000.0000frag/cm**3 (conc)4532
32.0008713.0000frag/cm**3 (conc)4533
32.25023995.0000frag/cm**3 (conc)4534
32.5009290.0000frag/cm**3 (conc)4535
33.0003500.0000frag/cm**3 (conc)4536
33.2504467.0000frag/cm**3 (conc)4537
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34.0001000.0000frag/cm**3 (conc)4540
34.5008755.0000frag/cm**3 (conc)4541
34.7507333.0000frag/cm**3 (conc)4542
35.0007217.0000frag/cm**3 (conc)4543
35.7502986.0000frag/cm**3 (conc)4544
36.00017475.0000frag/cm**3 (conc)4545
36.2508755.0000frag/cm**3 (conc)4546
36.50025920.0000frag/cm**3 (conc)4547
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37.750280.0000frag/cm**3 (conc)4550
38.000100.0000frag/cm**3 (conc)4551
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39.000100.0000frag/cm**3 (conc)4554
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39.500400.0000frag/cm**3 (conc)4556
39.750100.0000frag/cm**3 (conc)4557
40.000100.0000frag/cm**3 (conc)4558
40.250360.0000frag/cm**3 (conc)4559
40.500800.0000frag/cm**3 (conc)4560
40.750100.0000frag/cm**3 (conc)4561
41.00032200.0000frag/cm**3 (conc)4562
41.25015200.0000frag/cm**3 (conc)4563
41.50016000.0000frag/cm**3 (conc)4564
41.75074000.0000frag/cm**3 (conc)4565
42.0005280.0000frag/cm**3 (conc)4566
42.2505440.0000frag/cm**3 (conc)4567
42.5006600.0000frag/cm**3 (conc)4568
42.7505760.0000frag/cm**3 (conc)4569
43.0008800.0000frag/cm**3 (conc)4570
43.2507200.0000frag/cm**3 (conc)4571
43.5004200.0000frag/cm**3 (conc)4572
43.7502160.0000frag/cm**3 (conc)4573
44.0003420.0000frag/cm**3 (conc)4574
44.2506160.0000frag/cm**3 (conc)4575
44.5003700.0000frag/cm**3 (conc)4576
44.75012800.0000frag/cm**3 (conc)4577
45.00010000.0000frag/cm**3 (conc)4578
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45.75012800.0000frag/cm**3 (conc)4581
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48.75020000.0000frag/cm**3 (conc)4590
49.00013500.0000frag/cm**3 (conc)4591
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51.7509600.0000frag/cm**3 (conc)4602
52.00022200.0000frag/cm**3 (conc)4603
52.25019000.0000frag/cm**3 (conc)4604
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53.00031600.0000frag/cm**3 (conc)4607
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53.5002600.0000frag/cm**3 (conc)4609
53.750480.0000frag/cm**3 (conc)4610
54.0003500.0000frag/cm**3 (conc)4611
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58.4002670.0000frag/cm**3 (conc)4628
58.5507119.0000frag/cm**3 (conc)4629
58.75024918.0000frag/cm**3 (conc)4630
58.95026698.0000frag/cm**3 (conc)4631
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63.00042716.0000frag/cm**3 (conc)4651
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