Citation:

PANGAEA.872803

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: -38.350000 * Longitude: 142.600000

Minimum DEPTH, sediment/rock: 0.000 m * Maximum DEPTH, sediment/rock: 41.500 m

Event(s):

Lake_Wangoom (LW87) * Latitude: -38.350000 * Longitude: 142.600000 * Elevation: 100.0 m

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, warm-temperate forest	Pollen wte forest	%	Sanchez Goñi, Maria Fernanda
10	Pollen, savanah	Pollen sav	%	Sanchez Goñi, Maria Fernanda

License:

Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported (CC-BY-NC-ND-3.0)

Size:

1077 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 wte forest [%]	10 Pollen sav [%]
0.000	0.00000						9102	0.000	100.000
0.100	0.29030						9103	0.000	100.000
0.300	0.87360						9104	0.000	100.000
0.400	1.16670						9105	0.000	100.000
0.500	1.46070						9106	0.000	100.000
0.600	1.75560						9107	0.000	100.000
0.700	2.05150						9108	0.000	100.000
0.800	2.34830						9109	0.000	100.000
0.900	2.64610						9110	0.000	100.000
1.000	2.94480						9111	0.000	100.000
1.100	3.24440						9112	0.000	100.000
1.200	3.54500						9113	0.000	100.000
1.300	3.84650						9114	0.000	100.000
1.400	4.14890						9115	0.000	100.000
1.500	4.45230						9116	0.000	100.000
1.600	4.75660						9117	0.000	100.000
1.700	5.06180						9118	0.000	100.000
1.800	5.36800						9119	0.000	100.000
1.850	5.52150						9120	0.000	100.000
2.000	5.98320						9121	0.000	100.000
2.200	6.60210						9122	0.500	99.500
2.400	7.22480	4.72570	7.70130	5.78080	39.020	Linear regression	9123	0.000	100.000
2.600	7.85120	5.55010	8.39210	6.56120	39.020	Linear regression	9124	0.000	100.000
2.800	8.48130	6.37230	9.09530	7.34150	39.020	Linear regression	9125	0.000	100.000
3.000	9.11520	7.18950	9.80030	8.12190	39.020	Linear regression	9126	0.300	99.700
3.200	9.75290	8.00750	10.49820	8.90230	39.020	Linear regression	9127	0.500	99.500
3.400	10.39430	8.82590	11.20190	9.68270	39.020	Linear regression	9128	0.500	99.500
3.600	11.03940	9.63810	11.91010	10.46310	39.020	Linear regression	9129	0.600	99.400
3.700	11.36340	10.04160	12.26310	10.85330	39.020	Linear regression	9130	0.600	99.400
3.800	11.68830	10.44740	12.61610	11.24350	39.020	Linear regression	9131	1.700	98.300
4.000	12.34090	11.25400	13.32110	12.02390	39.020	Linear regression	9132	0.000	100.000
4.200	12.99730	12.06230	14.03190	12.80430	39.020	Linear regression	9133	0.000	100.000
4.400	13.65740	12.86690	14.73960	13.58470	39.020	Linear regression	9134	0.000	100.000
4.600	14.32130	13.67220	15.45480	14.36510	39.020	Linear regression	9135	0.000	100.000
4.800	14.98890	14.47560	16.18810	15.14550	39.020	Linear regression	9136	0.000	100.000
5.000	15.66020	15.26500	16.90530	15.92590	39.020	Linear regression	9137	0.000	100.000
5.200	16.33530	16.05650	17.62390	16.70630	39.020	Linear regression	9138	0.000	100.000
5.400	17.01410	16.83610	18.36120	17.48670	39.020	Linear regression	9139	0.400	99.600
5.600	17.69670	17.61380	19.09040	18.26710	39.020	Linear regression	9140	0.000	100.000
5.800	18.38310	18.37860	19.83500	19.04740	39.020	Linear regression	9141	0.600	99.400
6.000	19.07310	19.14330	20.58890	19.82780	39.020	Linear regression	9142	0.400	99.600
6.200	19.76700	19.90880	21.36260	20.60820	39.020	Linear regression	9143	0.000	100.000
6.400	20.46450	20.66060	22.14850	21.38860	39.020	Linear regression	9144	1.600	98.400
6.600	21.16580	21.41690	22.95630	22.16900	39.020	Linear regression	9145	0.000	100.000
6.800	21.87090	22.16800	23.78170	22.94940	39.020	Linear regression	9146	1.200	98.800
7.000	22.57970	22.91310	24.60680	23.72980	39.020	Linear regression	9147	0.000	100.000
7.200	23.29220	23.65740	25.43180	24.51020	39.020	Linear regression	9148	0.000	100.000
7.300	23.64990	24.03580	25.84850	24.90040	39.020	Linear regression	9149	0.000	100.000
7.700	25.09000	25.51990	27.50530	26.46120	39.020	Linear regression	9150	0.000	100.000
7.800	25.45230	25.88880	27.92170	26.85140	39.020	Linear regression	9151	0.000	100.000
8.000	26.17990	26.62590	28.75420	27.63180	39.020	Linear regression	9152	0.000	100.000
8.200	26.91110	27.35320	29.58460	28.41220	39.020	Linear regression	9153	0.000	100.000
8.400	27.64610	28.08480	30.42270	29.19260	39.020	Linear regression	9154	0.000	100.000
8.500	28.01510	28.44590	30.83410	29.58280	39.020	Linear regression	9155	0.000	100.000
8.600	28.38490	28.80780	31.25140	29.97300	39.020	Linear regression	9156	0.000	100.000
8.800	29.12740	29.52680	32.08430	30.75330	39.020	Linear regression	9157	0.000	100.000
9.000	29.87370	30.23490	32.92120	31.53370	39.020	Linear regression	9158	0.000	100.000
9.200	30.62370	30.96000	33.75580	32.31410	39.020	Linear regression	9159	0.000	100.000
9.400	31.37740	31.68180	34.59480	33.09450	39.020	Linear regression	9160	0.000	100.000
9.600	32.13490	32.39460	35.42910	33.87490	39.020	Linear regression	9161	0.000	100.000
9.800	32.89610	33.07990	36.26290	34.65530	39.020	Linear regression	9162	0.000	100.000
10.000	33.66110	33.80070	37.09840	35.43570	39.020	Linear regression	9163	0.000	100.000
10.200	34.42980	34.49010	37.93030	36.21610	39.020	Linear regression	9164	0.000	100.000
10.400	35.20230	35.19180	38.76670	36.99650	39.020	Linear regression	9165	0.000	100.000
10.600	35.97850	35.90230	39.60210	37.77690	39.020	Linear regression	9166	0.500	100.000
10.800	36.75850	36.61660	40.43780	38.55730	39.020	Linear regression	9167	0.000	100.000
11.000	37.54220	37.32230	41.27800	39.33770	39.020	Linear regression	9168	0.000	100.000
11.200	38.32960	38.02020	42.12340	40.11810	39.020	Linear regression	9169	0.000	100.000
11.400	39.12080	38.72600	42.95930	40.89850	39.020	Linear regression	9170	2.700	97.300
12.200	42.32300	41.51940	46.30130	44.02000	39.020	Linear regression	9171	0.000	100.000
12.600	43.94660	42.93030	47.97360	45.58080	39.020	Linear regression	9173	50.000	50.000
12.800	44.76400	43.62980	48.81170	46.36120	39.020	Linear regression	9174	34.000	66.000
13.000	45.58510	44.32610	49.64810	47.14160	39.020	Linear regression	9175	0.500	99.500
13.200	46.41000	45.01490	50.48590	47.92200	39.020	Linear regression	9176	1.700	98.300
13.400	47.23870	45.71570	51.33380	48.70240	39.020	Linear regression	9177	0.600	99.400
13.600	48.07110	46.41260	52.17970	49.48280	39.020	Linear regression	9178	0.000	100.000
13.800	48.90720	47.10760	53.01250	50.26320	39.020	Linear regression	9179	0.000	100.000
14.000	49.74710	47.80830	53.85510	51.04360	39.020	Linear regression	9180	0.000	100.000
14.200	50.59070	48.49570	54.69910	51.82400	39.020	Linear regression	9181	0.000	100.000
14.400	51.43810	49.17740	55.54280	52.60440	39.020	Linear regression	9182	0.000	100.000
14.600	52.28920	49.88360	56.38960	53.38480	39.020	Linear regression	9183	0.000	100.000
14.800	53.14410	50.56520	57.23510	54.16520	39.020	Linear regression	9184	0.000	100.000
15.000	54.00270	51.27700	58.07120	54.94550	39.020	Linear regression	9185	0.000	100.000
15.200	54.86500	51.99150	58.90680	55.72590	39.020	Linear regression	9186	0.000	100.000
15.400	55.73110	52.69160	59.74930	56.50630	39.020	Linear regression	9187	0.000	100.000
15.600	56.60090	53.40640	60.58620	57.28670	39.020	Linear regression	9188	0.000	100.000
15.800	57.47450	54.12120	61.42370	58.06710	39.020	Linear regression	9189	0.000	100.000
16.000	58.35180	54.81940	62.26490	58.84750	39.020	Linear regression	9190	0.000	100.000
16.200	59.23290	55.52880	63.10610	59.62790	39.020	Linear regression	9191	0.500	99.500
16.400	60.11770	56.22340	63.95390	60.40830	39.020	Linear regression	9192	0.500	99.500
16.600	61.00630	56.91550	64.80780	61.18870	39.020	Linear regression	9193	0.000	100.000
16.800	61.89860	57.60870	65.65320	61.96910	39.020	Linear regression	9194	0.500	99.500
17.000	62.79470	58.30640	66.49010	62.74950	39.020	Linear regression	9195	0.000	100.000
17.200	63.69450	58.99940	67.32390	63.52990	39.020	Linear regression	9196	0.000	100.000
17.400	64.59800	59.69590	68.16410	64.31030	39.020	Linear regression	9197	0.500	99.500
17.600	65.50530	60.38570	69.00570	65.09070	39.020	Linear regression	9198	0.600	99.400
17.800	66.41630	61.07610	69.84790	65.87110	39.020	Linear regression	9199	2.900	97.100
18.000	67.33110	61.76410	70.68610	66.65140	39.020	Linear regression	9200	0.000	100.000
18.200	68.24960	62.45600	71.52290	67.43180	39.020	Linear regression	9201	1.000	99.000
18.400	69.17190	63.16350	72.35980	68.21220	39.020	Linear regression	9202	0.000	100.000
18.600	70.09790	63.87590	73.20310	68.99260	39.020	Linear regression	9203	2.700	97.300
18.800	71.02770	64.57780	74.04250	69.77300	39.020	Linear regression	9204	0.500	99.500
19.000	71.96120	65.28480	74.88920	70.55340	39.020	Linear regression	9205	0.000	100.000
19.200	72.89840	65.99480	75.72720	71.33380	39.020	Linear regression	9206	0.500	99.500
19.600	74.78420	67.39190	77.41920	72.89460	39.020	Linear regression	9207	3.600	96.400
19.800	75.73270	68.09200	78.26550	73.67500	39.020	Linear regression	9208	1.100	98.900
20.000	76.68490	68.80290	79.11180	74.45540	39.020	Linear regression	9209	6.200	93.800
20.200	77.64090	69.50240	79.95780	75.23580	39.020	Linear regression	9210	0.500	99.500
20.400	78.60060	70.19310	80.80100	76.01620	39.020	Linear regression	9211	3.200	96.800
20.600	79.56400	70.88860	81.63740	76.79660	39.020	Linear regression	9212	0.000	100.000
20.800	80.53130	71.58460	82.47360	77.57700	39.020	Linear regression	9213	3.000	97.000
21.000	81.50220	72.28290	83.30960	78.35740	39.020	Linear regression	9214	3.400	96.600
21.200	82.47690	72.98190	84.14550	79.13770	39.020	Linear regression	9215	0.000	100.000
21.400	83.45540	73.69200	84.98700	79.91810	39.020	Linear regression	9216	4.500	95.500
21.600	84.43760	74.40310	85.82960	80.69850	39.020	Linear regression	9217	0.000	100.000
21.800	85.42350	75.11340	86.66950	81.47890	39.020	Linear regression	9218	1.700	98.300
22.000	86.41320	75.80920	87.50560	82.25930	39.020	Linear regression	9219	0.000	100.000
22.200	87.40660	76.50620	88.34560	83.03970	39.020	Linear regression	9220	2.100	97.900
22.400	88.40380	77.19890	89.19520	83.82010	39.020	Linear regression	9221	0.000	100.000
22.600	89.40470	77.89150	90.04420	84.60050	39.020	Linear regression	9222	0.700	99.300
22.800	90.40930						9223	1.000	99.000
22.960	91.21580						9224	1.500	98.500
23.000	91.41770						9225	1.100	98.900
23.200	92.42990						9226	0.000	100.000
23.400	93.44580						9227	1.000	99.000
23.600	94.46540						9228	0.000	100.000
23.800	95.48880						9229	0.000	100.000
24.000	96.51600						9230	0.000	100.000
24.200	97.54680						9231	0.600	99.400
24.400	98.58150						9232	0.000	100.000
24.800	100.66190						9233	0.000	100.000
25.200	102.75740						9234	0.000	100.000
25.600	104.86780						9235	0.000	100.000
25.800	105.92871						9236	1.100	98.900
26.000	106.99331						9237	0.000	100.000
26.200	108.06161						9238	0.000	100.000
26.400	109.13371						9239	0.300	99.700
26.600	110.20951						9240	0.000	100.000
26.800	111.28901						9241	0.000	100.000
27.000	112.37231						9242	0.000	100.000
27.200	113.45941						9243	0.000	100.000
27.600	115.64471						9244	0.000	100.000
27.800	116.74301						9245	0.000	100.000
28.200	118.95081						9246	0.000	100.000
28.400	120.06041						9247	0.000	100.000
28.600	121.17361						9248	0.000	100.000
28.800	122.29061						9249	0.000	100.000
29.000	123.41141						9250	0.000	100.000
29.200	124.53591						9251	0.000	100.000
29.400	125.66421						9252	0.000	100.000
29.600	126.79611						9253	0.000	100.000
29.800	127.93191						9254	0.000	100.000
30.600	132.51231						9255	0.000	100.000
30.800	133.66681						9256	0.000	100.000
31.000	134.82501						9257	0.000	100.000
31.600	138.32211						9258	0.000	100.000
31.800	139.49531						9259	0.000	100.000
32.000	140.67221						9260	0.000	100.000
32.200	141.85291						9261	0.000	100.000
32.400	143.03731						9262	0.000	100.000
32.800	145.41741						9263	0.000	100.000
33.000	146.61301						9264	0.000	100.000
33.200	147.81241						9265	0.000	100.000
33.400	149.01561						9266	0.000	100.000
33.600	150.22251						9267	0.000	100.000
33.800	151.43311						9268	0.000	100.000
34.000	152.64751						9269	0.000	100.000
34.200	153.86571						9270	0.000	100.000
34.400	155.08751						9271	0.000	100.000
34.800	157.54251						9272	0.000	100.000
35.000	158.77561						9273	0.000	100.000
35.200	160.01251						9274	0.000	100.000
35.800	163.74551						9275	0.000	100.000
36.000	164.99741						9276	0.600	99.400
36.200	166.25291						9277	0.000	100.000
36.400	167.51231						9278	0.800	99.200
36.600	168.77531						9279	0.000	100.000
36.800	170.04221						9280	0.000	100.000
37.000	171.31271						9281	0.000	100.000
37.200	172.58701						9282	0.000	100.000
38.000	177.72171						9283	0.000	100.000
38.200	179.01471						9284	0.000	100.000
38.400	180.31151						9285	0.000	100.000
38.600	181.61201						9286	0.000	100.000
39.200	185.53611						9287	1.900	98.100
39.400	186.85161						9288	0.000	100.000
39.600	188.17081						9289	0.700	99.300
39.800	189.49381						9290	0.000	100.000
40.600	194.82321						9291	0.000	100.000
40.800	196.16501						9292	0.000	100.000
41.000	197.51041						9293	0.000	100.000
41.100	198.18461						9294	0.000	100.000
41.400	200.21261						9295	0.000	100.000
41.500	200.89051						9296	0.000	100.000