Citation:

PANGAEA.933814

Name: Concentrations of alkenones in Hala Hu sediment core H11
Published: 2021-07-19
License: https://creativecommons.org/licenses/by/4.0/
Keywords: Alkenone; Biomarker; China; isotopes; Paleoclimate; Sediment core; Tibetan Plateau

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Published: 2021-07-19 • DOI registered: 2021-12-09

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Abstract:

Concentrations of alkenones were analysed in core H11 from Hala Hu, China by means of an Agilent 7890A gas chromatography (GC) instrument, equipped with a mass selective detector (MSD; Agilent 5975C Series) and a flame ionization detector (FID; Agilent 7683B Series). For the GC, an Agilent VF-200ms column (60 m, inner diameter 0.25 mm, film thickness 0.25 μm) was used.

The lake is located on the northern margin of the Tibetan Plateau (97.24 - 97.47°E, 38.12 - 38.25°N, 4078 m above sea level), along the modern marginal zone between the Asian Summer Monsoon (ASM) and westerlies influences. The core was drilled at the deepest point (65 m water depth) of the lake and extends from 0 to 212 cm sediment depth. According to the age-model (Yan et al., 2020) the covered time period is modern - 9216 cal yr BP.

Keyword(s):

Alkenone; Biomarker; China; isotopes; Paleoclimate; Sediment core; Tibetan Plateau

Related to:

Yan, Dada; Wünnemann, Bernd; Zhang, Yongzhan (2020): Late Quaternary lacustrine Ostracoda and their implications for hydro-climatic variation in Northeastern Tibetan Plateau. Earth-Science Reviews, 207, 103251, https://doi.org/10.1016/j.earscirev.2020.103251

Funding:

German Research Foundation (DFG), grant/award no. 259668396 : Palaeoclimatology of Central Asia and the northeastern Tibetan Plateau on basis of compound-specific isotope analysis of biomarkers

Coverage:

Latitude: 38.304950 * Longitude: 97.570790

Minimum DEPTH, sediment/rock: 0.13 m * Maximum DEPTH, sediment/rock: 2.60 m

Event(s):

Hala_Hu_2011-H11 (H11) * Latitude: 38.304950 * Longitude: 97.570790 * Elevation: 4079.0 m * Lake water depth: 64.5 m * Location: Hala Hu * Method/Device: Niederreiter Piston corer (NPC) * Comment: winter 2011

Parameter(s):

#	Name	Short Name	Unit	Principal Investigator	Method/Device	Comment
1	DEPTH, sediment/rock	Depth sed	m	Aichner, Bernhard		Geocode – composite depth
2	Calendar age, minimum/young	Cal age min	ka BP	Aichner, Bernhard		Age model of Yan et al., 2020
3	Calendar age, maximum/old	Cal age max	ka BP	Aichner, Bernhard		Age model of Yan et al., 2020
4	Calendar age	Cal age	ka BP	Aichner, Bernhard		wmean; Age model of Yan et al., 2020
5	Alkenone, C37:4, per unit sediment mass	C37:4/sed	ng/g	Aichner, Bernhard	Gas chromatography - mass spectrometry - flame ionization detector (GC/MS/FID) Agilent	dw
6	Alkenone, C37:3, per unit sediment mass	C37:3/sed	ng/g	Aichner, Bernhard	Gas chromatography - mass spectrometry - flame ionization detector (GC/MS/FID) Agilent	dw
7	Alkenone, C37:2, per unit sediment mass	C37:2/sed	ng/g	Aichner, Bernhard	Gas chromatography - mass spectrometry - flame ionization detector (GC/MS/FID) Agilent	dw
8	Alkenone, C38:4, per unit sediment mass	C38:4/sed	ng/g	Aichner, Bernhard	Gas chromatography - mass spectrometry - flame ionization detector (GC/MS/FID) Agilent	dw
9	Alkenone, C38:3, per unit sediment mass	C38:3/sed	ng/g	Aichner, Bernhard	Gas chromatography - mass spectrometry - flame ionization detector (GC/MS/FID) Agilent	dw
10	Alkenone, C38:2, per unit sediment mass	C38:2/sed	ng/g	Aichner, Bernhard	Gas chromatography - mass spectrometry - flame ionization detector (GC/MS/FID) Agilent	dw
11	Alkenone, C39:4, per unit sediment mass	C39:4/sed	ng/g	Aichner, Bernhard	Gas chromatography - mass spectrometry - flame ionization detector (GC/MS/FID) Agilent	dw
12	Alkenone, C39:3, per unit sediment mass	C39:3/sed	ng/g	Aichner, Bernhard	Gas chromatography - mass spectrometry - flame ionization detector (GC/MS/FID) Agilent	dw
13	Alkenone, C39:2, per unit sediment mass	C39:2/sed	ng/g	Aichner, Bernhard	Gas chromatography - mass spectrometry - flame ionization detector (GC/MS/FID) Agilent	dw

License:

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

Status:

Curation Level: Enhanced curation (CurationLevelC)

Size:

1032 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 C37:4/sed [ng/g]	6 C37:3/sed [ng/g]	7 C37:2/sed [ng/g]	8 C38:4/sed [ng/g]	9 C38:3/sed [ng/g]	10 C38:2/sed [ng/g]	11 C39:4/sed [ng/g]	12 C39:3/sed [ng/g]	13 C39:2/sed [ng/g]
0.13	0.178	0.777	0.424	46	48	18	9	49	26	8	19	7
0.14	0.190	0.840	0.460	54	67	23	14	58	29	14	21	7
0.16	0.235	0.953	0.533	55	164	40	26	101	49	16	36	9
0.17	0.261	0.988	0.569	56	41	14	9	38	20	12	15	6
0.19	0.297	1.073	0.640	127	64	21	19	56	31	17	20	5
0.26	0.477	1.349	0.904	8	13	5	1	10	6	1	4	3
0.29	0.556	1.456	1.025	6	30	14	3	28	18	8	12	9
0.31	0.631	1.546	1.105	19	17	6	3	16	8	5	8	3
0.40	0.939	1.811	1.431	19	62	28	5	56	37	10	21	11
0.43	1.120	1.862	1.543	12	20	12	2	16	15	7	8	6
0.46	1.291	1.934	1.657	7	19	7	2	13	10	2	5	2
0.47	1.376	1.946	1.696	49	31	11	9	29	16	8	11	4
0.49	1.510	1.978	1.774	31	105	44	18	93	55	17	30	13
0.50	1.547	2.008	1.813	28	19	7	5	18	10	7	9	3
0.53	1.837	2.087	1.941	8	9	3	2	9	5	3	5	2
0.55	1.891	2.201	2.025	24	24	10	5	26	13	7	11	4
0.58	1.990	2.382	2.183	21	21	8	4	21	11	5	10	3
0.59	2.005	2.473	2.235	15	16	6	3	16	11	6	8	5
0.61	2.080	2.604	2.329	137	91	31	22	85	46	20	32	9
0.70	2.296	2.915	2.580	30	17	7	5	16	9	4	7	2
0.76	2.433	3.047	2.675	28	80	37	12	72	48	11	25	11
0.79	2.491	3.128	2.723	5	6	3	1	7	4	2	4	1
0.82	2.555	3.204	2.771	1	5	3	1	5	3	2	3	1
0.83	2.575	3.229	2.787	32	29	9	5	23	11	5	8	4
0.88	2.769	3.435	2.955	6	10	4	2	9	6	1	4	2
0.94	2.964	3.776	3.492	65	64	18	20	42	27	5	12	4
0.95	2.989	3.906	3.602	28	32	14	6	31	20	5	11	5
0.97	3.051	3.937	3.640	4	12	7	1	14	10	4	7	3
1.00	3.127	3.999	3.698	6	11	5	1	12	7	6	8	4
1.01	3.161	4.013	3.716	22	24	10	4	21	12	6	9	6
1.03	3.221	4.043	3.748	4	9	6	1	10	7	5	9	4
1.04	3.248	4.058	3.763	12	47	19	6	43	24	13	17	8
1.16	3.613	4.279	3.970	36	25	9	7	24	13	8	10	4
1.22	3.840	4.364	4.073	6	12	4	2	8	6	2	3	1
1.30	4.036	4.684	4.290	4	6	4	1	7	5	3	4	2
1.31	4.071	4.718	4.330	14	22	9	3	24	12	4	12	4
1.33	4.112	4.827	4.410	11	11	4	3	10	6	3	4	1
1.37	4.202	5.064	4.571	8	14	7	2	12	9	3	5	2
1.39	4.239	5.188	4.651	7	11	5	2	11	6	3	6	3
1.40	4.254	5.258	4.691	24	25	9	4	27	14	6	14	6
1.42	4.319	5.325	4.770	12	20	8	2	18	10	4	10	3
1.45	4.387	5.485	4.889	23	61	16	5	34	22	3	15	4
1.48	4.485	5.598	5.007	14	55	14	3	25	18	1	12	2
1.51	4.563	5.745	5.125	37	80	16	8	36	21	5	19	4
1.54	4.652	5.859	5.243	68	72	14	20	59	25	7	17	3
1.55	4.672	5.904	5.282	2	11	4	2	15	8	1	3	1
1.58	4.807	6.028	5.403	2	3	2	0	3	3	0	1	1
1.60	4.853	6.124	5.482	9	11	5	1	10	6	3	5	2
1.61	4.910	6.148	5.521	27	32	15	5	32	20	8	17	6
1.63	4.980	6.210	5.602	9	14	7	2	14	9	4	8	3
1.64	5.008	6.252	5.642	13	26	11	3	26	16	5	13	6
1.66	5.090	6.327	5.721	22	45	11	5	23	14	3	11	3
1.72	5.339	6.536	5.958	22	31	9	4	16	10	3	6	2
1.73	5.381	6.563	5.999	54	97	19	13	47	26	7	20	5
1.75	5.441	6.655	6.080	26	52	9	7	26	13	3	10	3
1.76	5.506	6.678	6.118	56	129	26	14	66	36	7	27	6
1.79	5.628	6.773	6.231	43	72	15	10	38	22	4	15	3
1.81	5.720	6.832	6.306	72	143	25	17	72	37	6	29	5
1.82	5.771	6.850	6.344	28	97	17	15	50	21	4	16	3
1.84	5.848	6.904	6.421	45	65	9	10	29	13	3	14	2
1.87	5.977	6.976	6.534	155	244	39	28	94	50	12	45	6
1.93	6.260	7.127	6.763	2	14	4	1	8	5	0	3	1
1.99	6.582	7.249	6.995	89	126	21	16	55	27	5	21	3
2.00	6.617	7.276	7.033	9	56	9	7	23	10	2	9	2
2.02	6.834	7.289	7.110	109	191	32	32	97	47	9	34	4
2.03	6.929	7.299	7.148	86	151	23	21	67	29	6	27	4
2.07	7.099	7.471	7.296	19	54	9	4	26	12	2	12	2
2.09	7.124	7.650	7.360	42	78	13	10	37	15	3	14	3
2.12	7.194	7.832	7.462	86	105	18	16	49	24	7	23	3
2.15	7.244	8.044	7.568	92	162	21	87	362	78	8	41	5
2.23	7.432	8.398	7.856	198	125	23	96	297	69	15	35	6
2.24	7.449	8.445	7.891	98	47	14	28	61	23	12	16	4
2.26	7.499	8.531	7.961	44	25	9	9	26	13	6	9	3
2.27	7.529	8.570	7.996	16	39	13	11	37	18	6	11	4
2.32	7.655	8.776	8.170	37	63	20	21	56	30	16	21	5
2.33	7.678	8.815	8.205	43	24	8	9	21	13	7	8	3
2.35	7.719	8.916	8.275	23	22	8	7	21	13	5	8	3
2.36	7.760	8.941	8.310	32	22	8	9	22	14	6	8	2
2.42	7.940	9.159	8.520	31	24	9	9	26	17	6	9	3
2.44	7.986	9.242	8.591	17	21	8	5	22	16	4	9	3
2.45	8.004	9.289	8.625	15	12	6	2	13	11	1	4	2
2.47	8.090	9.348	8.695	15	19	8	4	18	12	3	7	3
2.48	8.120	9.386	8.730	8	28	14	13	32	17	12	15	6
2.53	8.280	9.568	8.907	20	9	4	1	7	7	1	3	2
2.56	8.367	9.682	9.011	14	12	5	2	12	10	2	5	2
2.60	8.487	9.819	9.149	11	10	4	2	7	6	2	3	1