Citation:

PANGAEA.872919

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

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Related to:

Pisias, Nicklas G; Mix, Alan C; Heusser, Linda E (2001): Millennial scale climate variability of the northeast Pacific Ocean and northwest North America based on radiolaria and pollen. Quaternary Science Reviews, 20(14), 1561-1576, https://doi.org/10.1016/S0277-3791(01)00018-X

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: 42.117000 * Longitude: -125.750000

Date/Time Start: 1987-10-02T00:00:00 * Date/Time End: 1987-10-02T00:00:00

Minimum DEPTH, sediment/rock: 0.050 m * Maximum DEPTH, sediment/rock: 8.550 m

Event(s):

W8709A-13 * Latitude: 42.117000 * Longitude: -125.750000 * Date/Time: 1987-10-02T00:00:00 * Elevation: -2712.0 m * Campaign: * Basis: Wecoma * Method/Device: Piston corer (PC)

Parameter(s):

#	Name	Short Name	Unit	Principal Investigator	Method/Device	Comment
1	DEPTH, sediment/rock	Depth sed	m			Geocode
2	Calendar age, minimum/young	Cal age min	ka BP	Sanchez Goñi, Maria Fernanda	Classical age-modeling approach, CLAM (Blaauw, 2010)	CLAM_min95
3	Calendar age, maximum/old	Cal age max	ka BP	Sanchez Goñi, Maria Fernanda	Classical age-modeling approach, CLAM (Blaauw, 2010)	CLAM_max95
4	Calendar age	Cal age	ka BP	Sanchez Goñi, Maria Fernanda	Classical age-modeling approach, CLAM (Blaauw, 2010)	CLAM_best
5	Accumulation model	Accu model	a/cm	Sanchez Goñi, Maria Fernanda	Classical age-modeling approach, CLAM (Blaauw, 2010)
6	Type of age model	Age model type		Sanchez Goñi, Maria Fernanda
7	Sample ID	Sample ID		Sanchez Goñi, Maria Fernanda		ACER sample ID
8	Abies	Abi	#	Pisias, Nicklas G	Counting, palynology
9	Alnus	Aln	#	Pisias, Nicklas G	Counting, palynology
10	Asteraceae	Astae	#	Pisias, Nicklas G	Counting, palynology
11	Betula	Bet	#	Pisias, Nicklas G	Counting, palynology
12	Chenopodiaceae	Cheae	#	Pisias, Nicklas G	Counting, palynology
13	Corylus	Cor	#	Pisias, Nicklas G	Counting, palynology
14	Cupressaceae/Taxaceae/Taxodiaceae	Cupressaceae/Taxaceae/Taxodiaceae	#	Pisias, Nicklas G	Counting, palynology
15	Cyperaceae	Cypae	#	Pisias, Nicklas G	Counting, palynology
16	Isoetes	Iso	#	Pisias, Nicklas G	Counting, palynology
17	Lycopodiaceae	Lycae	#	Pisias, Nicklas G	Counting, palynology
18	Myrica	Myr	#	Pisias, Nicklas G	Counting, palynology
19	Picea	Pic	#	Pisias, Nicklas G	Counting, palynology
20	Pinus	Pin	#	Pisias, Nicklas G	Counting, palynology
21	Poaceae	Poac	#	Pisias, Nicklas G	Counting, palynology
22	Polypodiaceae	Pocae	#	Pisias, Nicklas G	Counting, palynology
23	Pseudotsuga	Psd	#	Pisias, Nicklas G	Counting, palynology
24	Quercus	Que	#	Pisias, Nicklas G	Counting, palynology
25	Selaginella	Sel	#	Pisias, Nicklas G	Counting, palynology
26	Sequoia	Seq	#	Pisias, Nicklas G	Counting, palynology
27	Sphagnum	Sph	#	Pisias, Nicklas G	Counting, palynology
28	Tsuga heterophylla	T. heterophylla	#	Pisias, Nicklas G	Counting, palynology
29	Tsuga mertensiana	Tsu.m	#	Pisias, Nicklas G	Counting, palynology

License:

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

Size:

2483 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 Sample ID	8 Abi [#]	9 Aln [#]	10 Astae [#]	11 Bet [#]	12 Cheae [#]	13 Cor [#]	14 Cupressaceae/Taxaceae/Taxodiaceae [#]	15 Cypae [#]	16 Iso [#]	17 Lycae [#]	18 Myr [#]	19 Pic [#]	20 Pin [#]	21 Poac [#]	22 Pocae [#]	23 Psd [#]	24 Que [#]	25 Sel [#]	26 Seq [#]	27 Sph [#]	28 T. heterophylla [#]	29 Tsu.m [#]
0.050						10367	3	41	7	3	8	4	22	2	1	0	0	7	106	11	40	2	17	0	53	0	17	0
0.150						10368	3	50	11	4	8	2	20	3	1	0	0	12	118	3	38	1	14	0	42	0	21	0
0.250						10369	3	36	15	4	3	0	21	2	1	0	1	13	138	4	640	2	16	0	32	0	22	1
0.350	6.21420	7.60400	7.10860	49.485	Polynomial regression-order 3	10370	0	120	47	5	7	2	22	8	2	0	1	2	41	15	250	1	39	0	44	1	10	0
0.450	6.80390	8.04060	7.60120	48.990	Polynomial regression-order 3	10371	0	75	31	4	4	1	17	4	2	1	1	5	95	4	310	0	20	0	37	0	8	0
0.550	7.37910	8.49070	8.08900	48.539	Polynomial regression-order 3	10372	3	68	22	3	5	0	18	1	1	0	0	5	122	4	200	0	18	0	26	0	10	0
0.650	7.94090	8.94870	8.57250	48.133	Polynomial regression-order 3	10373	5	55	22	1	4	0	27	1	1	0	0	10	150	4	150	1	12	0	29	0	10	0
0.750	8.49540	9.40880	9.05220	47.772	Polynomial regression-order 3	10374	0	114	25	5	3	1	12	2	1	0	0	7	77	4	27	1	18	0	30	0	5	0
0.850	9.03830	9.87750	9.52850	47.455	Polynomial regression-order 3	10375	2	51	17	6	7	0	18	2	0	0	0	9	151	5	300	3	16	0	18	0	2	1
0.950	9.57070	10.34530	10.00180	47.182	Polynomial regression-order 3	10376	2	85	27	3	8	0	10	1	0	0	1	7	127	2	200	2	15	0	10	0	9	1
1.050	10.09260	10.81720	10.47250	46.954	Polynomial regression-order 3	10377	4	53	18	7	2	2	6	1	1	0	1	11	146	8	300	2	17	0	17	0	6	0
1.150	10.59870	11.28940	10.94120	46.771	Polynomial regression-order 3	10378	1	73	23	8	3	2	8	2	0	0	0	10	134	6	205	1	19	0	11	0	3	0
1.250	11.09380	11.75620	11.40820	46.632	Polynomial regression-order 3	10379	1	75	15	5	5	1	8	0	0	0	1	8	141	5	300	1	14	0	9	0	9	1
1.320	11.43360	12.08480	11.73440	46.561	Polynomial regression-order 3	10380	3	109	25	2	2	0	13	9	0	0	0	11	107	3	375	1	10	0	19	0	5	0
1.350	11.57710	12.22590	11.87410	46.537	Polynomial regression-order 3	10381	1	132	11	2	1	3	16	3	0	0	0	11	82	6	450	1	15	0	11	1	6	0
1.400	11.81530	12.46020	12.10670	46.506	Polynomial regression-order 3	10382	6	68	23	2	0	0	9	1	1	0	0	11	147	2	240	1	9	0	16	0	25	0
1.420	11.91210	12.55320	12.19970	46.497	Polynomial regression-order 3	10383	8	100	33	4	7	0	26	6	3	0	0	25	178	5	173	1	4	0	9	0	18	2
1.450	12.05430	12.69490	12.33920	46.487	Polynomial regression-order 3	10384	5	81	19	3	1	2	8	3	0	0	1	13	124	7	109	1	9	0	11	0	14	0
1.470	12.14780	12.78810	12.43220	46.482	Polynomial regression-order 3	10385	3	48	30	0	4	0	9	2	0	0	0	16	151	3	160	3	8	0	10	0	25	1
1.500	12.28870	12.92740	12.57160	46.478	Polynomial regression-order 3	10386	5	68	23	0	2	0	3	4	1	1	0	14	137	3	375	4	7	0	15	0	16	1
1.550	12.52340	13.16190	12.80400	46.481	Polynomial regression-order 3	10387	2	64	24	4	3	0	10	4	1	1	0	11	164	1	300	1	1	0	6	0	8	1
1.650	12.98560	13.62910	13.26900	46.520	Polynomial regression-order 3	10388	8	46	18	1	2	0	11	1	0	0	0	49	146	3	330	1	3	1	2	1	21	2
1.750	13.44710	14.09670	13.73450	46.603	Polynomial regression-order 3	10389	4	40	33	2	5	0	8	1	0	0	0	44	133	3	120	1	7	0	2	0	29	2
1.850	13.91520	14.56080	14.20110	46.731	Polynomial regression-order 3	10390	5	41	14	0	0	0	8	1	1	0	0	37	183	3	90	1	1	0	1	0	13	0
1.950	14.38070	15.02660	14.66910	46.903	Polynomial regression-order 3	10391	11	28	22	4	0	0	6	2	0	0	0	41	201	4	149	3	2	1	3	1	19	1
2.050	14.84730	15.49610	15.13910	47.120	Polynomial regression-order 3	10392	3	21	43	1	1	0	16	3	0	0	0	23	155	8	95	0	2	1	1	0	30	4
2.150	15.31450	15.96390	15.61140	47.381	Polynomial regression-order 3	10393	3	17	58	2	1	0	25	6	0	0	0	20	134	12	45	0	4	0	3	0	20	1
2.250	15.78910	16.43670	16.08660	47.687	Polynomial regression-order 3	10394	9	6	44	1	2	0	14	1	0	0	0	26	174	12	120	0	1	0	1	0	26	4
2.350	16.26050	16.91120	16.56500	48.037	Polynomial regression-order 3	10395	13	20	37	0	0	1	11	2	0	0	0	31	149	3	75	0	3	0	4	0	29	3
2.450	16.73890	17.39070	17.04710	48.432	Polynomial regression-order 3	10396	11	14	42	0	5	0	16	1	0	0	0	30	165	6	21	0	4	0	2	0	33	3
2.550	17.21930	17.86800	17.53340	48.871	Polynomial regression-order 3	10397	17	8	38	1	0	0	18	2	0	0	0	40	144	8	50	2	7	0	2	0	25	3
2.650	17.70420	18.35320	18.02420	49.355	Polynomial regression-order 3	10398	12	5	27	0	6	0	10	7	1	0	0	35	190	5	18	0	3	0	3	0	13	8
2.750	18.19540	18.84200	18.52010	49.883	Polynomial regression-order 3	10399	5	3	39	1	1	0	14	3	1	0	0	27	188	3	30	0	2	1	2	0	19	6
2.850	18.68880	19.34180	19.02150	50.456	Polynomial regression-order 3	10400	10	5	42	1	0	0	14	5	0	0	0	29	177	5	12	0	5	0	2	0	14	1
2.950	19.19170	19.84430	19.52880	51.073	Polynomial regression-order 3	10401	13	3	22	0	0	0	9	1	2	2	0	39	186	5	38	3	2	0	1	1	13	6
3.050	19.69590	20.35420	20.04250	51.735	Polynomial regression-order 3	10402	8	1	22	0	3	0	5	1	1	0	0	30	212	3	15	1	2	1	1	0	17	4
3.150	20.21140	20.87260	20.56290	52.441	Polynomial regression-order 3	10403	6	0	24	0	2	0	8	2	0	0	0	42	192	2	15	3	2	0	3	0	18	6
3.250	20.73420	21.40220	21.09070	53.191	Polynomial regression-order 3	10404	16	2	18	0	2	0	6	2	2	0	0	34	187	3	15	0	0	1	2	0	19	9
3.350	21.26230	21.93900	21.62610	53.986	Polynomial regression-order 3	10405	1	3	25	0	2	0	7	1	1	0	0	26	224	5	10	1	1	0	1	0	10	5
3.450	21.79790	22.48830	22.16980	54.826	Polynomial regression-order 3	10406	10	2	16	0	2	0	5	5	2	0	0	42	199	9	90	1	1	0	1	0	15	7
3.550	22.34140	23.04840	22.72200	55.710	Polynomial regression-order 3	10407	7	2	11	0	0	0	2	5	0	0	0	49	199	4	8	0	0	0	1	0	20	12
3.650	22.89530	23.61380	23.28320	56.639	Polynomial regression-order 3	10408	10	8	26	0	1	0	6	3	0	0	0	38	182	5	42	0	0	1	2	0	24	4
3.750	23.45890	24.19360	23.85390	57.612	Polynomial regression-order 3	10409	13	2	24	2	0	0	4	3	0	1	0	42	188	6	7	0	2	0	1	0	15	9
3.850	24.03100	24.78860	24.43460	58.629	Polynomial regression-order 3	10410	4	0	43	0	2	0	11	5	0	0	0	21	201	17	15	0	1	0	0	1	4	9
3.950	24.61730	25.39390	25.02560	59.691	Polynomial regression-order 3	10411	3	5	31	0	0	0	7	8	0	0	0	18	217	9	12	0	0	0	1	0	9	9
4.050	25.21390	26.00990	25.62750	60.798	Polynomial regression-order 3	10412	12	3	30	0	0	0	1	6	0	0	0	25	225	6	60	0	2	0	0	0	19	7
4.150	25.82030	26.63530	26.24060	61.948	Polynomial regression-order 3	10413	13	1	18	1	0	0	1	2	1	0	0	24	218	4	14	1	0	0	1	0	26	4
4.250	26.43880	27.27800	26.86540	63.144	Polynomial regression-order 3	10414	8	0	28	0	2	0	2	3	1	0	0	39	193	6	13	0	0	0	1	0	28	6
4.350	27.06770	27.92980	27.50240	64.384	Polynomial regression-order 3	10415	9	1	22	2	0	0	8	3	1	0	0	25	226	4	11	0	0	0	0	0	22	5
4.450	27.70970	28.60210	28.15200	65.668	Polynomial regression-order 3	10416	12	3	27	0	3	0	8	1	0	0	0	17	190	4	12	1	1	0	1	0	34	10
4.550	28.36750	29.28760	28.81460	66.997	Polynomial regression-order 3	10417	6	1	14	0	0	0	6	2	1	0	0	16	244	2	10	1	1	0	4	0	9	7
4.650	29.04010	29.98690	29.49070	68.371	Polynomial regression-order 3	10418	5	2	25	0	2	0	5	5	0	1	0	20	209	6	15	1	3	0	1	0	23	12
4.750	29.72730	30.70300	30.18080	69.788	Polynomial regression-order 3	10419	8	1	20	1	0	0	7	3	0	0	0	19	457	3	15	0	3	0	1	0	23	5
4.850	30.42870	31.43520	30.88520	71.251	Polynomial regression-order 3	10420	6	0	22	0	2	0	12	4	1	0	0	15	212	4	8	1	2	0	3	0	22	4
4.950	31.14440	32.18160	31.60440	72.758	Polynomial regression-order 3	10421	14	2	16	0	0	0	3	3	1	0	0	20	214	1	36	1	0	1	2	0	22	8
5.050	31.87130	32.94650	32.33900	74.309	Polynomial regression-order 3	10422	21	0	13	0	1	0	2	5	1	0	0	16	209	3	26	0	1	0	1	0	32	7
5.150	32.59890	33.72670	33.08920	75.905	Polynomial regression-order 3	10423	10	0	15	0	1	0	7	2	2	0	0	15	207	4	8	1	0	0	1	0	50	3
5.250	33.32260	34.52580	33.85560	77.545	Polynomial regression-order 3	10424	8	1	17	0	0	0	7	0	1	0	0	14	233	7	12	2	0	0	1	0	21	3
5.350	34.06090	35.34230	34.63860	79.230	Polynomial regression-order 3	10425	9	1	14	0	0	0	13	7	5	0	0	19	249	4	28	1	2	1	2	0	35	3
5.450	34.79630	36.17480	35.43860	80.959	Polynomial regression-order 3	10426	17	0	17	0	1	0	5	1	0	0	0	17	229	2	10	1	0	0	1	0	18	4
5.550	35.53460	37.03060	36.25620	82.733	Polynomial regression-order 3	10427	16	4	30	0	3	0	6	2	1	0	0	19	187	5	15	3	0	0	0	0	34	7
5.650	36.27360	37.90240	37.09160	84.551	Polynomial regression-order 3	10428	16	3	20	0	1	0	2	4	4	0	0	17	196	4	50	1	3	0	2	0	34	3
5.750	37.02160	38.79280	37.94550	86.414	Polynomial regression-order 3	10429	8	1	6	0	0	0	3	3	1	0	0	24	218	2	52	3	1	0	0	0	46	4
5.850	37.75920	39.69830	38.81820	88.321	Polynomial regression-order 3	10430	12	1	15	0	2	0	4	7	2	0	0	18	202	5	21	1	3	1	0	0	36	13
5.950	38.50400	40.62310	39.71010	90.273	Polynomial regression-order 3	10431	9	2	35	0	2	0	10	6	2	0	0	13	203	5	36	1	4	1	1	0	30	9
6.050	39.27560	41.57940	40.62180	92.269	Polynomial regression-order 3	10432	6	2	18	0	1	0	6	6	1	0	0	19	198	6	21	4	2	0	1	0	27	7
6.150	40.04980	42.55220	41.55360	94.309	Polynomial regression-order 3	10433	4	1	16	0	1	0	7	2	1	0	0	18	218	2	36	3	1	0	0	0	44	10
6.250	40.84750	43.54930	42.50610	96.395	Polynomial regression-order 3	10434	7	1	3	1	1	0	4	5	1	0	0	17	213	7	24	0	1	0	1	0	35	9
6.350	41.64270	44.57130	43.47960	98.524	Polynomial regression-order 3	10435	7	1	24	0	0	0	4	2	2	0	0	14	237	7	10	2	0	0	1	0	36	13
6.450	42.43640	45.61070	44.47460	100.698	Polynomial regression-order 3	10436	14	0	19	0	0	0	2	2	0	0	0	24	212	5	36	5	2	0	1	0	35	8
6.550	43.24380	46.67860	45.49150	102.917	Polynomial regression-order 3	10437	10	2	23	0	1	0	5	7	2	0	0	21	179	3	30	1	2	1	0	0	56	10
6.650	44.07190	47.76690	46.53080	105.180	Polynomial regression-order 3	10438	17	0	7	0	2	0	2	1	0	0	0	28	211	2	10	0	0	0	0	0	37	4
6.750	44.91040	48.88600	47.59290	107.487	Polynomial regression-order 3	10439	12	1	19	0	1	0	6	4	1	0	0	16	186	7	18	1	3	0	2	0	40	12
6.850	45.73250	50.03570	48.67840	109.840	Polynomial regression-order 3	10440	11	3	25	0	1	0	8	1	1	0	0	24	180	4	23	2	1	0	1	0	38	8
6.950	46.57520	51.21090	49.78750	112.236	Polynomial regression-order 3	10441	21	0	13	0	0	0	10	2	1	0	0	26	181	5	30	2	4	0	1	0	59	9
7.050	47.45760	52.42200	50.92080	114.677	Polynomial regression-order 3	10442	10	1	20	4	1	0	14	3	2	0	0	16	159	5	45	2	5	0	2	0	66	9
7.150	48.34130	53.65000	52.07870	117.163	Polynomial regression-order 3	10443	16	2	13	0	1	0	11	3	3	0	0	16	183	3	28	0	3	0	2	0	58	4
7.250	49.22120	54.91010	53.26170	119.693	Polynomial regression-order 3	10444	9	5	8	0	0	0	10	3	0	0	0	13	187	2	60	2	3	0	0	0	43	2
7.350	50.12900	56.20030	54.47020	122.267	Polynomial regression-order 3	10445	11	1	19	0	1	0	11	1	1	0	0	11	218	3	12	5	2	1	2	0	28	7
7.450	51.02310	57.52460	55.70460	124.886	Polynomial regression-order 3	10446	19	3	12	1	0	0	11	6	6	0	0	14	204	1	60	4	2	0	2	0	47	6
7.550	51.94020	58.87190	56.96540	127.549	Polynomial regression-order 3	10447	16	0	9	0	0	0	12	1	3	0	0	9	222	3	45	2	2	0	4	0	32	3
7.650						10448	19	0	10	0	0	0	4	4	0	0	0	12	221	3	12	0	1	0	3	0	31	9
7.750						10449	9	1	24	0	1	0	8	1	0	0	0	16	224	6	12	0	1	0	2	0	15	6
7.850						10450	14	1	16	0	0	0	8	4	0	1	0	27	215	6	10	2	2	0	2	0	12	12
7.950						10451	16	1	17	3	2	0	4	6	1	0	0	26	208	6	64	3	4	1	2	0	22	6
8.050						10452	17	0	23	0	0	0	4	4	0	0	0	14	221	3	48	3	2	0	0	0	21	5
8.150						10453	11	1	16	0	1	0	5	8	1	0	0	13	218	5	17	0	3	0	0	0	21	10
8.250						10454	9	2	13	0	0	0	9	8	0	0	0	18	227	6	18	0	2	1	1	0	21	8
8.350						10455	10	1	16	0	3	0	7	11	0	1	0	17	234	9	25	1	1	0	1	0	11	7
8.450						10456	5	1	18	0	3	0	3	9	0	0	0	6	281	10	24	0	1	0	0	0	15	13
8.550						10457	8	0	19	2	1	0	6	9	1	1	0	27	210	2	27	1	1	2	2	1	38	8