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  • 1
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    (Table DR1) Contents and isotopic composition of black carbon from ODP Hole 184-1147B (2003)
    PANGAEA
    Details
    Publication Date: 2024-02-12
    Keywords: 184-1147B; AGE; Black carbon; Deep Sea Drilling Project; Depth, composite; DRILL; Drilling/drill rig; DSDP; DSDP/ODP/IODP sample designation; Element analyser CHN-O Rapid, Heraeus; Joides Resolution; Leg184; Mass spectrometer Finnigan Delta Plus XL; Sample code/label; South China Sea; δ13C
    Type: Dataset
    Format: text/tab-separated-values, 48 data points
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  • 2
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    (Table DR1) Contents and isotopic composition of black carbon from ODP Hole 184-1147C (2003)
    PANGAEA
    Details
    Publication Date: 2024-02-12
    Keywords: 184-1147C; AGE; Black carbon; Deep Sea Drilling Project; Depth, composite; DRILL; Drilling/drill rig; DSDP; DSDP/ODP/IODP sample designation; Element analyser CHN-O Rapid, Heraeus; Joides Resolution; Leg184; Mass spectrometer Finnigan Delta Plus XL; Sample code/label; South China Sea; δ13C
    Type: Dataset
    Format: text/tab-separated-values, 20 data points
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  • 3
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    Contents of fatty acids in surface sediment samples from the northwestern South China Sea (2020)
    PANGAEA
    Details
    Publication Date: 2024-02-12
    Description: The method used for extraction, purification, and isolation of n-fatty acids were similar to those described by Mollenhauer and Eglinton (2007). About 70–140 g samples and an aliquot of ~3 g of each sample (for quantification) were Soxhlet extracted with DCM: MeOH (9:1, v/v). After saponification, the neutral lipids were recovered with n-hexane and the remaining solution was acidified to pH 1, from which FAs were extracted into DCM. The extracted FAs were converted to methyl ester derivatives (FAMEs) and contents were measured by an Agilent 7890A gas chromatograph (GC) equipped with a DB-5MS capillary column (60 m, 250 µm, 0.25 µm) and a flame ionization detector (FID).
    Keywords: 12-methyl-Tetradecanoic acid, per unit mass total organic carbon; 13-methyl-Tetradecanoic acid, per unit mass total organic carbon; BC; Box corer; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; DO201207-08; DO201207-08_E700; Docosanoic acid, per unit mass total organic carbon; Dongfanghong 2; Dotriacontanoic acid, per unit mass total organic carbon; E700; ELEVATION; Event label; fatty acids; Gas chromatography - mass spectrometry - flame ionization detector (GC/MS/FID) Agilent; Grab; GRAB; Heneicosanoic acid, per unit mass total organic carbon; Hentriacontanoic acid, per unit mass total organic carbon; Heptacosanoic acid, per unit mass total organic carbon; Heptadecanoic acid, per unit mass total organic carbon; Hexacosanoic acid, per unit mass total organic carbon; Hexadecanoic acid, per unit mass total organic carbon; Icosanoic acid, per unit mass total organic carbon; LATITUDE; LD-GSD; LONGITUDE; MMDB; Nonacosanoic acid, per unit mass total organic carbon; Nonadecanoic acid, per unit mass total organic carbon; Octacosanoic acid, per unit mass total organic carbon; Octadecanoic acid, per unit mass total organic carbon; Pearl River; Pentacosanoic acid, per unit mass total organic carbon; Pentadecanoic acid, per unit mass total organic carbon; PRE-A8; PRE-Y11; Shi Yan 3; South China Sea; Station label; SXCB; SY201710; SY201710_LD-GSD; Tetracosanoic acid, per unit mass total organic carbon; Tetradecanoic acid, per unit mass total organic carbon; Triacontanoic acid, per unit mass total organic carbon; Tricosanoic acid, per unit mass total organic carbon; WSB; XIN201307; XIN201307_MMDB; XIN201307_SXCB; XIN201307_WSB; XIN201307_YJXB; Xintenglonghao; YJXB; YUE201108; YUE201108_PRE-A8; YUE201108_PRE-Y11; Yuedongguan00589
    Type: Dataset
    Format: text/tab-separated-values, 192 data points
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  • 4
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    Stable carbon isotope compositon of fatty acids in surface sediment samples from the northwestern South China Sea (2020)
    PANGAEA
    Details
    Publication Date: 2024-02-12
    Description: About 5% of each FAME fraction from each sample were measured in duplicate on a Thermo Trace GC coupled via a combustion interface (1000 °C) to a Thermo Finnigan MAT 252 isotope ratio mass spectrometer. Results are reported in ‰ relative to VPDB. During measurement, standard mixtures containing 12 externally-calibrated alkanes was measured every 6 runs to monitor average absolute deviations from known δ¹³C values. Accuracy was consistently ≤0.2‰. Reproducibility for the duplicate measurements of each compound ranged from 〈0.1‰ to 0.7‰. The δ¹³C values of n-FAMEs were subsequently corrected for the derivative methyl carbon to derive n-FA δ¹³C values including error propagation.
    Keywords: 12-methyl-Tetradecanoic acid, δ13C; 12-methyl-Tetradecanoic acid, δ13C, standard deviation; 13-methyl-Tetradecanoic acid, δ13C; 13-methyl-Tetradecanoic acid, δ13C, standard deviation; BC; Box corer; Compound-specific 13C and 14C analyses; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; DO201207-08; DO201207-08_E700; Docosanoic acid, δ13C; Docosanoic acid, δ13C, standard deviation; Dongfanghong 2; Dotriacontanoic acid, δ13C; Dotriacontanoic acid, δ13C, standard deviation; E700; ELEVATION; Event label; fatty acids; Gas chromatography-combustion-isotope ratio mass spectrometry (GC-C-IRMS); Grab; GRAB; Heneicosanoic acid, δ13C; Heneicosanoic acid, δ13C, standard deviation; Hentriacontanoic acid, δ13C; Hentriacontanoic acid, δ13C, standard deviation; Heptacosanoic acid, δ13C; Heptacosanoic acid, δ13C, standard deviation; Heptadecanoic acid, δ13C; Heptadecanoic acid, δ13C, standard deviation; Hexacosanoic acid, δ13C; Hexacosanoic acid, δ13C, standard deviation; Hexadecanoic acid, δ13C; Hexadecanoic acid, δ13C, standard deviation; Icosanoic acid, δ13C; Icosanoic acid, δ13C, standard deviation; LATITUDE; LD-GSD; LONGITUDE; MMDB; Nonacosanoic acid, δ13C; Nonacosanoic acid, δ13C, standard deviation; Nonadecanoic acid, δ13C; Nonadecanoic acid, δ13C, standard deviation; Octacosanoic acid, δ13C; Octacosanoic acid, δ13C, standard deviation; Octadecanoic acid, δ13C; Octadecanoic acid, δ13C, standard deviation; Pearl River; Pentacosanoic acid, δ13C; Pentacosanoic acid, δ13C, standard deviation; Pentadecanoic acid, δ13C; Pentadecanoic acid, δ13C, standard deviation; PRE-A8; PRE-Y11; Shi Yan 3; South China Sea; Station label; SXCB; SY201710; SY201710_LD-GSD; Tetracosanoic acid, δ13C; Tetracosanoic acid, δ13C, standard deviation; Tetradecanoic acid, δ13C; Tetradecanoic acid, δ13C, standard deviation; Triacontanoic acid, δ13C; Triacontanoic acid, δ13C, standard deviation; Tricosanoic acid, δ13C; Tricosanoic acid, δ13C, standard deviation; WSB; XIN201307; XIN201307_MMDB; XIN201307_SXCB; XIN201307_WSB; XIN201307_YJXB; Xintenglonghao; YJXB; YUE201108; YUE201108_PRE-A8; YUE201108_PRE-Y11; Yuedongguan00589
    Type: Dataset
    Format: text/tab-separated-values, 360 data points
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  • 5
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    Contents and isotopic composition of black carbon from ODP Sites 184-1147 and 184-1148 (2003)
    PANGAEA
    In:  Supplement to: Jia, Guodong; Peng, Pingan; Zhao, Quanhong; Jian, Zhimin (2003): Changes in terrestrial ecosystem since 30 Ma in East Asia: Stable isotope evidence from black carbon in the South China Sea. Geology, 31(12), 1093-1096, https://doi.org/10.1130/G19992.1
    Details
    Publication Date: 2024-02-12
    Description: A 30 m.y. stable isotopic record of marine-deposited black carbon from regional terrestrial biomass burning from the northern South China Sea reveals photosynthetic pathway evolution for terrestrial ecosystems in the late Cenozoic. This record indicates that C3 plants negatively adjusted their isotopic discrimination and C4 plants appeared gradually as a component of land vegetation in East Asia since the early Miocene, a long time before sudden C4 expansion occurred during the late Miocene to the Pliocene. The changes in terrestrial ecosystems with time can be reasonably related to the evolution of East Asian monsoons, which are thought to have been induced by several intricate mechanisms during the late Cenozoic and could contribute significantly to the post-Miocene marine carbonate isotope decline.
    Keywords: 184-1147A; 184-1147B; 184-1147C; 184-1148A; 184-1148B; Deep Sea Drilling Project; DRILL; Drilling/drill rig; DSDP; Joides Resolution; Leg184; South China Sea
    Type: Dataset
    Format: application/zip, 5 datasets
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  • 6
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    Comparison of the U₃₇ᴷ', LDI, TEX₈₆ᴴ and RI-OH temperature proxies in sediments from the northern shelf of the South China Sea (2019)
    PANGAEA
    Details
    Publication Date: 2024-02-12
    Description: The temperature proxies U₃₇ᴷ' , LDI, TEX₈₆ᴴ and RI-OH are derived from lipid biomarkers, namely long-chain alkenones from coccolithophorids and long-chain diols ascribed tentatively to eustigmatophytes, as well as glycerol dialkyl glycerol tetraethers (GDGTs) and OH-GDGTs produced by Archaea. The applicability of these proxies in the South China Sea (SCS) has been investigated previously. However, in each study only one or two of the proxies were compared, and the recently updated calibrations or new calibrating methods such as BASYPAR and BAYSPLINE were not applied. Here, we investigate four proxies in parallel in a set of surface sediment samples from the northern SCS shelf and relate them to local sea surface temperature (SST), which allows for us to compare and assess similarities and differences between them and also help improve regional multiproxy seawater temperature reconstructions. Our results indicate that U₃₇ᴷ' reflects annual mean SST with a slight bias toward the warm season. Terrestrial inputs appear to have a significant impact on LDI, TEX₈₆ᴴ, and RI-OH proxies near the coast, leading to colder LDI- and TEX₈₆ᴴ-derived temperatures but a warmer RI-OH temperature estimate. After excluding samples influenced by terrestrial materials, we find that LDI-derived temperature agrees well with annual SST, while TEX₈₆ᴴ- and RI-OH-derived temperature estimates are close to SSTs in seasons dominated by the East Asian winter monsoon and summer monsoon, respectively. The different seasonal biases of these temperature proxies provide valuable tools to reconstruct regional SSTs under different monsoonal conditions.
    Keywords: AWI_MarGeoChem; LDI; Marine Geochemistry @ AWI; South China Sea; TEXH86 and RI-OH; UK'37
    Type: Dataset
    Format: application/zip, 5 datasets
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  • 7
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    Fatty acids and their carbon isotopes in surface sediments from the Pearl River Estuary and northwestern South China Sea (2020)
    PANGAEA
    Details
    Publication Date: 2024-02-12
    Description: Tropical and subtropical rivers deliver large quantities of terrestrial organic carbon to the ocean, acting as a crucial part of the global carbon cycle, but little is known about the timescale and efficiency of their transport to and in the adjacent coastal sea. Here, we examined source-specific biomarker (normal fatty acids (n-FAs)) contents and isotope compositions in surface sediments in an alongshore transect southwestward from the Pearl River mouth. The C~28+30~ rather than other long-chain n-FAs were found to be the most representative for OC~terr~, and a plant wax mean residence time (MRT) of 3060 ± 90 yr was estimated in the Pearl River watershed from the ¹⁴C age of C~28+30~ n-FA in the river mouth sample. A four-source mixing model demonstrated that the mean burial efficiency of fossil and soil OC is 85% and 49%, respectively, indicating the refractory nature of fossil OC but a significant loss of soil OC due to remineralization during transport in the marine environment before final burial. Thus, the remineralization of soil OC in the tropical coastal sea may be an important CO₂ source.
    Keywords: Compound-specific 13C and 14C analyses; fatty acids; Pearl River; South China Sea
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 8
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    Fatty acids and their carbon isotopes in two nearshore sediment cores from the coastal South China Sea (2023)
    PANGAEA
    Details
    Publication Date: 2024-02-12
    Description: This data set includes nuclide activities, grain size, content, δ¹³C and F¹⁴C of bulk OC and Fatty acids in two nearshore sediment cores collected by the piston corer from coastal South China Sea. These data could help us to constrain the anthropogenic perturbations of different terrestrial OC export to the coastal ocean.
    Keywords: bulk 13C and C14 analyses; coastal South China Sea; Compound-specific 13C and 14C analyses; fatty acids; Pearl River Basin
    Type: Dataset
    Format: application/zip, 6 datasets
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  • 9
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    (Table T1) N-alkane, n-alcohol and n-fatty acid concentrations in ODP Site 184-1147 and 184-1148 sediments (2004)
    PANGAEA
    In:  Supplement to: Peng, Pingan; Yu, Chiling; Jia, Guodong; Hu, Jianfang; Song, Jianzhong; Zhang, Gan (2004): Data report: Marine and terrigenous lipids in the sediments from the South China Sea, Site 1148, Leg 184. In: Prell, WL; Wang, P; Blum, P; Rea, DK; Clemens, SC (eds.) Proceedings of the Ocean Drilling Program, Scientific Results, College Station, TX (Ocean Drilling Program), 184, 1-16, https://doi.org/10.2973/odp.proc.sr.184.209.2004
    Details
    Publication Date: 2024-02-12
    Description: Lipid compositions of sediments recovered during Ocean Drilling Program Leg 184 in the South China Sea have been identified and quantified. The identified lipids can be ascribed to terrigenous and marine sources. Terrigenous lipids are mainly C27, C29, C31 n-alkanes, C26, C28, C30 n-fatty acids, and n-alcohols, which were derived from leaf waxes of higher land plants and transported to the sea by airborne dust or fresh water. Marine lipids, mainly C37 and C38 alkenones, C30 diol, and C30 and C32 keto-ols, were from microalgae, notably haptophytes and eustigmatophytes. Elevated concentrations and accumulation rates of both terrigenous and marine lipids in the interval 202-245 meters composite depth (mcd) and 0-166 mcd were postulated to be related to the development of the East Asian monsoon at 6-8 Ma and enhanced variations of the developed East Asian monsoon after 3.2 Ma, respectively. The pronounced late Oligocene input of terrigenous lipids reflects the paleoenvironment of a newly opened, narrow basin, with restricted ocean waters and the proximity of continental runoff.
    Keywords: 184-1147; 184-1148; Alkenone, C37:2Me; Alkenone, C37:3Me; Alkenone, C38:2Et; Alkenone, C38:2Me; C30 diol; COMPCORE; Composite Core; Depth, composite; DEPTH, sediment/rock; DSDP/ODP/IODP sample designation; Event label; Gas chromatography - Mass spectrometry (GC-MS); Joides Resolution; Keto-ol, C30 per unit sediment mass; Keto-ol, C32 per unit sediment mass; Leg184; Long-chain fatty acids C26+C28+C30 per unit sediment mass; n-Alkane C27+C29+C31 per unit sediment mass; n-Alkanol long chain alcohols C26+C28+C30 per unit sediment mass; Ocean Drilling Program; ODP; Sample code/label; South China Sea
    Type: Dataset
    Format: text/tab-separated-values, 3684 data points
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  • 10
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    (S3) Long chain diols compositon, LDI index and derived sea surface temperature, annual and seasonal residuals, and index of riverine input of coretop sediments from the northern shelf of the South China Sea (2019)
    PANGAEA
    Details
    Publication Date: 2024-02-12
    Keywords: A6; A9; AWI_MarGeoChem; BC; Box corer; DO201207-08; DO201207-08_A6; DO201207-08_A9; DO201207-08_E503; DO201207-08_E600; DO201207-08_E700; DO201207-08_E701; DO201207-08_QD00; DO201207-08_QD04; DO201207-08_QD11a; DO201207-08_QD41; DO201207-08_SW10; Dongfanghong 2; E503; E600; E700; E701; Event label; GLB; Grab; GRAB; Latitude of event; LD-11; LD-18; LD-21; LDI; Long chain diol, C28 1,13-diol; Long chain diol, C30 1,13-diol; Long chain diol, C30 1,15-diol; Long chain diol, C32 1,15-diol; Long chain diol index; Longitude of event; Marine Geochemistry @ AWI; MMDB; PRE-A8; PRE-Y11; PRE-Y6; QD00; QD04; QD11a; QD41; Sea surface temperature; Sea surface temperature, autumn residual; Sea surface temperature, residual; Sea surface temperature, spring residual; Sea surface temperature, summer residual; Sea surface temperature, winter residual; Shi Yan 3; Site; South China Sea; SW10; SXCB; SY201710; SY201710_LD-11; SY201710_LD-18; SY201710_LD-21; WSB; XIN201307; XIN201307_GLB; XIN201307_MMDB; XIN201307_SXCB; XIN201307_WSB; XIN201307_YJXB; Xintenglonghao; YJXB; YUE201108; YUE201108_PRE-A8; YUE201108_PRE-Y11; YUE201108_PRE-Y6; Yuedongguan00589
    Type: Dataset
    Format: text/tab-separated-values, 264 data points
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