Citation:

PANGAEA.921249

Name: Alkenone concentration and sea surface temperature (SST) analysis from borhole Sdr Cvdium
Published: 2020-08-05
License: https://creativecommons.org/licenses/by/4.0/
Keywords: Miocene; Miocene Climatic Optimum; Sea surface temperature

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Keyword(s):

Miocene; Miocene Climatic Optimum; Sea surface temperature

Related to:

Herbert, Timothy D; Rose, Rebecca; Dybkjaer, Karen; Rasmussen, Erik S; Śliwińska, Kasia K (2020): Bihemispheric Warming in the Miocene Climatic Optimum as Seen From the Danish North Sea. Paleoceanography and Paleoclimatology, 35(10), https://doi.org/10.1029/2020PA003935

Super, James R; Thomas, Ellen; Pagani, Mark; Huber, Matthew; O'Brien, Charlotte L; Hull, Pincelli M (2018): (Table 2) Biomarker indices of DSDP Hole 94-608. PANGAEA, https://doi.org/10.1594/PANGAEA.887722

Coverage:

Latitude: 55.817000 * Longitude: 8.446000

Minimum DEPTH, sediment/rock: 24.50 m * Maximum DEPTH, sediment/rock: 285.50 m

Event(s):

Sdr_Vdium * Latitude: 55.817000 * Longitude: 8.446000 * Method/Device: Core drilling (CDRILL)

Comment:

Empty cell = *

#999 = ND (alkenones not detected)

#99 = NA (alkenone concentration not calculated)

Parameter(s):

#	Name	Short Name	Unit	Principal Investigator	Method/Device	Comment
1	DEPTH, sediment/rock	Depth sed	m	Herbert, Timothy D		Geocode
2	AGE	Age	ka BP	Herbert, Timothy D	BACON age modeling	Geocode
3	Depth, corrected	Depth corr	m	Herbert, Timothy D		Sand corrected
4	Age model	Age model	ka	Herbert, Timothy D	BACON age modeling	Sand corrected
5	Alkenone, unsaturation index UK'37	UK'37		Herbert, Timothy D
6	Alkenone, C37	C37	µg/g	Herbert, Timothy D
7	Sea surface temperature, annual mean	SST (1-12)	°C	Herbert, Timothy D	Calculated from UK'37 (Müller et al, 1998)
8	Sea surface temperature, annual mean	SST (1-12)	°C	Herbert, Timothy D	Tierney & Tingley 2018 calibration, Bayesian prior = 3 METHOD: SST, from UK'37	16th percentile
9	Sea surface temperature, annual mean	SST (1-12)	°C	Herbert, Timothy D	Tierney & Tingley 2018 calibration, Bayesian prior = 3 METHOD: SST, from UK'37	50th percentile
10	Sea surface temperature, annual mean	SST (1-12)	°C	Herbert, Timothy D	Tierney & Tingley 2018 calibration, Bayesian prior = 3 METHOD: SST, from UK'37	84th percentile
11	Sea surface temperature, annual mean	SST (1-12)	°C	Herbert, Timothy D	Tierney & Tingley 2018 calibration, Bayesian prior = 5 METHOD: SST, from UK'37	16th percentile
12	Sea surface temperature, annual mean	SST (1-12)	°C	Herbert, Timothy D	Tierney & Tingley 2018 calibration, Bayesian prior = 5 METHOD: SST, from UK'37	50th percentile
13	Sea surface temperature, annual mean	SST (1-12)	°C	Herbert, Timothy D	Tierney & Tingley 2018 calibration, Bayesian prior = 5 METHOD: SST, from UK'37	84th percentile

License:

Creative Commons Attribution 4.0 International (CC-BY-4.0)

Size:

780 data points

Data

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

1 Depth sed [m]	2 Age [ka BP] (BACON age modeling)	3 Depth corr [m] (Sand corrected)	4 Age model [ka] (Sand corrected, BACON age mod...)	5 UK'37	6 C37 [µg/g]	7 SST (1-12) [°C] (Calculated from UK'37 (Müller...)	8 SST (1-12) [°C] (16th percentile, Tierney & Ti...)	9 SST (1-12) [°C] (50th percentile, Tierney & Ti...)	10 SST (1-12) [°C] (84th percentile, Tierney & Ti...)	11 SST (1-12) [°C] (16th percentile, Tierney & Ti...)	12 SST (1-12) [°C] (50th percentile, Tierney & Ti...)	13 SST (1-12) [°C] (84th percentile, Tierney & Ti...)
24.50		24.50		#999.0000	#999.000000
27.50	8958	27.50	8834	0.8433	0.002149	24.222	22.33	23.62	25.04	22.20	23.69	25.32
29.50	9350	29.50	9217	0.8744	0.006397	25.165	23.35	24.92	26.47	23.21	24.79	26.60
30.50	9530	30.50	9399	0.9103	0.066126	26.251	24.19	25.87	27.64	24.39	26.13	28.71
30.50	9530	30.50	9399	0.9123	0.079547	26.313	24.56	26.14	27.97	24.52	26.44	28.82
34.50	10557	34.50	10445	0.9157	0.018353	26.415	24.57	26.07	28.18	24.60	26.47	28.80
34.50	10557	34.50	10445	0.9153	0.018605	26.402	24.83	26.21	28.09	24.62	26.62	29.18
34.50	10557	34.50	10445	0.9195	0.020408	26.529	24.67	26.44	28.07	24.63	26.63	29.08
38.50	11559	38.50	11455	0.9382	0.035656	27.097	25.27	27.21	29.05	25.54	27.46	30.18
38.50	11559	38.50	11455	0.9346	0.036412	26.988	25.44	26.83	28.72	25.25	27.22	30.09
40.20	12027	40.20	11933	0.9551	0.037475	27.609	25.80	27.56	30.00	26.09	28.41	30.95
40.20	12027	40.20	11933	0.9564	0.042667	27.648	25.87	27.84	30.07	26.38	28.65	31.10
40.50	12108	40.50	12013	0.9184	0.368435	26.497	24.77	26.46	28.30	24.78	26.66	29.15
40.50	12108	40.50	12013	0.9178	0.347165	26.477	24.55	26.27	28.34	24.74	26.58	29.11
42.80	12643	42.80	12499	0.9508	0.263132	27.479	25.64	27.44	29.74	25.75	27.97	30.73
42.80	12643	42.80	12499	0.9571	0.292331	27.669	26.08	27.90	29.94	26.23	28.38	31.15
43.10	12710	43.10	12562	0.9275	0.258213	26.774	25.06	26.71	28.58	25.05	26.89	29.55
43.10	12710	43.10	12562	0.9244	0.246174	26.680	25.02	26.53	28.48	24.97	26.87	29.09
43.70	12849	43.70	12691	0.9601	0.037208	27.760	26.01	28.01	30.14	26.24	28.83	31.38
43.70	12849	43.70	12691	0.9579	0.036736	27.693	26.17	28.14	30.37	26.26	28.30	31.24
43.70	12849	43.70	12691	0.9602	0.038079	27.764	26.18	27.97	29.93	26.38	28.63	31.58
44.50	13039	44.50	12869	0.9643	0.045907	27.889	26.48	28.15	30.11	26.44	28.63	31.52
44.50	13039	44.50	12869	0.9611	0.052212	27.791	26.34	28.13	30.27	26.28	28.37	31.27
44.50	13039	44.50	12869	0.9672	0.059278	27.976	26.38	28.17	30.31	26.36	28.69	31.81
45.50	13277	45.50	13091	0.9339	0.008276	26.968	25.35	26.89	28.93	25.35	27.34	29.72
45.50	13277	45.50	13091	0.9218	0.009192	26.599	24.86	26.47	28.39	24.87	26.45	28.93
45.50	13277	45.50	13091	0.9270	0.009403	26.759	25.10	26.73	28.75	25.00	26.92	29.77
47.50	13871	47.50	13780	0.9510	#99.000000	27.483	26.01	27.56	29.63	25.90	28.04	30.78
47.50	13871	47.50	13780	0.9528	#99.000000	27.540	25.86	27.31	29.51	26.06	28.23	30.99
48.50	14208	48.50	14187	0.9517	#99.000000	27.506	25.98	27.71	29.97	26.12	28.29	31.06
48.50	14208	48.50	14187	0.9554	#99.000000	27.617	26.14	28.01	30.15	26.29	28.14	30.97
51.50	15026	51.50	15227	0.9691	#99.000000	28.033	26.41	28.30	30.36	26.91	29.13	31.96
52.80	15134	52.80	15369	0.9891	0.031732	28.641	27.22	29.26	31.35	27.49	29.97	33.08
52.80	15134	52.80	15369	0.9760	0.033022	28.244	26.68	28.64	30.81	26.93	29.30	32.23
52.80	15134	52.80	15369	0.9750	#99.000000	28.211	26.73	28.46	30.59	26.73	29.11	32.18
54.20	15250	54.20	15523	0.9883	0.064065	28.616	26.97	29.17	31.25	27.39	30.05	32.91
54.20	15250	54.20	15523	0.9863	0.063268	28.556	27.29	29.08	31.13	27.49	29.91	32.43
54.20	15250	54.20	15523	0.9820	#99.000000	28.425	27.23	28.80	31.02	27.19	29.52	32.41
58.70	15533	54.20	15523	0.9938	0.227034	28.782	27.38	29.41	31.79	27.70	30.20	33.24
58.70	15533	58.70	15882	0.9928	#99.000000	28.751	27.38	29.37	31.35	27.69	30.03	33.51
66.15	15910	66.15	16347	0.9933	0.042302	28.766	27.26	29.29	31.48	27.56	30.08	33.12
66.15	15910	66.15	16347	0.9900	0.041799	28.667	27.23	29.18	31.30	27.28	29.82	32.65
71.30	16167	71.30	16672	0.9418	#99.000000	27.205	25.30	27.11	29.21	25.66	27.45	30.56
76.30	16428	76.30	16998	0.9700	0.125091	28.060	26.52	28.21	30.40	26.65	28.79	31.76
81.25	16683	81.25	17320	0.9330	0.027243	26.940	25.35	26.86	28.73	25.38	27.20	29.63
91.10	17164	82.10	17352	0.9717	0.292048	28.111	26.38	28.45	30.74	26.57	29.02	32.29
114.70	17913	91.70	17716	0.8727	0.045415	25.113	23.18	24.67	26.09	23.13	24.74	26.41
114.70	17913	91.70	17716	0.8660	0.046858	24.909	23.06	24.53	26.06	23.01	24.56	26.16
119.60	18062	96.60	17897	#999.0000	#999.000000
126.10	18227	103.10	18123	0.8586	#99.000000	24.686	22.64	24.02	25.59	22.72	24.33	25.90
131.80	18368	108.80	18287	0.8838	0.015980	25.449	23.49	25.00	26.65	23.63	25.20	27.15
131.80	18368	108.80	18287	0.8660	0.014447	24.908	22.90	24.47	26.02	22.80	24.25	26.05
131.80	18368	108.80	18287	0.8798	0.015323	25.326	23.59	25.17	26.71	23.39	25.07	27.18
133.50	18412	110.50	18332	0.9790	0.044470	28.334	26.75	28.81	30.83	27.19	29.65	32.16
133.50	18412	110.50	18332	0.9727	0.060646	28.143	26.52	28.41	30.72	26.77	29.08	32.08
147.40	18746	124.40	18702	0.9551	0.103947	27.610	26.18	27.77	29.91	26.11	28.33	31.37
147.40	18746	124.40	18702	0.9571	0.075485	27.670	26.00	27.80	29.86	25.98	28.26	31.04
150.50	18806	127.50	18767	#999.0000	#999.000000
152.80	18854	127.50	18767	#999.0000	#999.000000
195.70	19733	165.70	19586	0.9325	0.023211	26.925	24.98	26.75	28.73	25.17	27.20	29.88
195.70	19733	165.70	19586	0.9409	0.027220	27.178	25.43	27.17	29.36	25.67	27.50	30.02
201.60	19850	165.70	19586	0.8891	#99.000000	25.610	23.81	25.29	26.85	23.54	25.02	27.08
201.60	19850	171.60	19712	0.8797	#99.000000	25.324	23.41	24.98	26.47	23.34	25.14	26.87
205.30	19925	175.30	19796	0.9238	#99.000000	26.661	24.88	26.48	28.43	24.88	26.74	29.40
211.30	20043	181.30	19922	0.9555	#99.000000	27.622	26.01	27.86	29.91	25.98	28.37	31.01
218.50	20183	188.50	20080	0.9390	#99.000000	27.122	25.55	27.37	29.08	25.56	27.73	30.49
229.50	20405	199.50	20305	0.9451	0.037568	27.305	25.46	27.24	29.28	25.66	27.72	30.32
235.50	20524	205.50	20434	0.7792	0.017872	22.278	20.25	21.58	22.99	20.23	21.69	23.20
244.50	20699	214.50	20621	0.9263	#99.000000	26.738	24.84	26.72	28.50	24.97	27.01	29.76
250.60	20844	220.60	20758	#999.0000	#999.000000
260.50	21114	230.50	21034	0.9463	0.023945		25.76	27.51	29.52	25.76	27.86	30.43
268.40	21334	238.40	21274	0.9331		26.942	25.42	27.05	29.05	25.20	27.13	30.00
278.50	21615	248.50	21566	#999.0000	#999.000000
284.80	21790	254.80	21746	0.9559	0.041541	27.634	25.98	27.89	29.91	26.17	28.37	31.23
285.50	21809	255.50	21766	0.9498	0.039021	27.450	25.73	27.39	29.39	25.90	27.85	30.67