Lipid biomarkers and oceanographic parameters in surface water and surface sediments in the eastern China marginal seas

DOI

This dataset comprises new data and previously published data on marine lipid biomarkers (brassicasterol, dinosterol, C37 alkenones, and the sum of them [∑PB]) in surface suspended particles at 334 stations from seven cruises between 2010 and 2015, and in surface sediments at 258 stations from eight cruises between 2006 and 2012 in the eastern China marginal seas (ECMS). Of all marine lipid biomarker data, 107 surface suspended particle samples were newly measured, with 227 surface suspended particle samples and 258 sediment samples previously published. We also provide the following oceanographic data, most of which were collected from published results (as described in the publication): sea surface temperature (SST, n = 273, from five cruises in summer of 2010–2015), salinity (n = 273, from five cruises in summer of 2010–2015), nutrient concentrations (dissolved inorganic nitrogen [DIN], dissolved inorganic phosphorus [DIP] and silicate [Si]) (n = 133, from three cruises in summer of 2011 and 2015) and Chl a (chlorophyll a, n = 229, from five cruises in summer of 2010–2014) in the surface water, as well as terrestrial biomarker [∑(C27 + C29 + C31) n-alkanes] contents (n = 226), TOC (total organic carbon content, n = 200), δ13CTOC (stable carbon isotope values for TOC, n=269), and sedimentation rate (n = 220) in surface sediments. Some data were measured using in situ CTD instrument in this study: sea surface temperature and salinity in the East China Sea in June 2010 and July 2013 (n = 54), and Chl a in the Changjiang River Estuary in August 2015 (n = 33). The contents of ∑(C27 + C29 + C31) n-alkanes in the southern Yellow Sea in April 2012 (n = 32) were also newly measured. The surface suspended particle samples were obtained by filtering on Whatman GF/F filters, and the surface sediments were collected by multiple corers or stainless-steel grab samplers. Marine and terrestrial lipid biomarkers were analyzed by gas chromatograph (Agilent 6890N) according to the method in Zhao et al. 2006 (doi: 10.1016/j.orggeochem.2005.08.022) and Wu et al. 2016 (doi: 10.1002/2015JG003167). The study resulting from this analysis has been published in Frontiers in Marine Science (doi:10.3389/fmars.2022.824181).

Identifier
DOI https://doi.org/10.1594/PANGAEA.943674
Related Identifier https://doi.org/10.3389/fmars.2022.824181
Related Identifier https://doi.org/10.1016/j.scitotenv.2017.05.159
Related Identifier https://doi.org/10.16441/j.cnki.hdxb.20160144
Related Identifier https://doi.org/10.1016/j.ecss.2003.11.021
Related Identifier https://doi.org/10.16562/j.cnki.0256-1492.1990.03.002
Related Identifier https://doi.org/10.1007/s13131-014-0535-1
Related Identifier https://doi.org/10.1016/j.envpol.2014.04.037
Related Identifier https://doi.org/10.1016/j.scitotenv.2014.05.054
Related Identifier https://doi.org/10.1016/j.chemosphere.2014.04.103
Related Identifier https://doi.org/10.1071/EN14243
Related Identifier https://doi.org/10.1016/j.csr.2007.01.011
Related Identifier https://doi.org/10.16441/j.cnki.hdxb.20190164
Related Identifier https://doi.org/10.1016/j.scitotenv.2007.07.019
Related Identifier https://doi.org/10.1007/s11430-016-5286-8
Related Identifier https://doi.org/10.1016/S0025-3227(99)00020-1
Related Identifier https://doi.org/10.7515/JEE201204008
Related Identifier https://doi.org/10.1016/j.pocean.2007.02.004
Related Identifier https://doi.org/10.1016/j.csr.2006.07.013
Related Identifier https://doi.org/10.1016/j.margeo.2004.06.009
Related Identifier https://doi.org/10.3724/SP.J.1140.2009.06001
Related Identifier https://doi.org/10.16562/j.cnki.0256-1492.2004.02.002
Related Identifier https://doi.org/10.1007/s00367-011-0251-1
Related Identifier https://doi.org/10.5194/bg-16-4485-2019
Related Identifier https://d.wanfangdata.com.cn/thesis/D548516
Related Identifier https://doi.org/10.1016/j.orggeochem.2019.07.004
Related Identifier https://doi.org/10.1002/2015JG003167
Related Identifier https://doi.org/10.1016/j.ecss.2016.04.009
Related Identifier https://doi.org/10.1016/j.orggeochem.2015.05.007
Related Identifier https://doi.org/10.1016/j.orggeochem.2014.07.005
Related Identifier https://doi.org/10.1177/0959683615618248
Related Identifier https://doi.org/10.1007/s00343-015-4188-5
Related Identifier https://doi.org/10.1016/j.margeo.2007.05.001
Related Identifier https://doi.org/10.1016/j.quaint.2009.11.001
Related Identifier https://doi.org/10.16441/j.cnki.hdxb.2008.06.024
Related Identifier https://doi.org/10.16562/j.cnki.0256-1492.2005.03.003
Related Identifier https://doi.org/10.1029/2020GB006608
Related Identifier https://doi.org/10.16441/j.cnki.hdxb.2011.04.015
Related Identifier https://doi.org/10.1016/j.watres.2019.03.046
Related Identifier https://doi.org/10.1021/es304899j
Metadata Access https://ws.pangaea.de/oai/provider?verb=GetRecord&metadataPrefix=datacite4&identifier=oai:pangaea.de:doi:10.1594/PANGAEA.943674
Provenance
Creator Cao, Yali; Bi, Rong ORCID logo; Wang, Xingchen (ORCID: 0000-0001-5316-789X); Chen, Xi; Hu, Jingwen ORCID logo; Wang, Yaoyao ORCID logo; Jiang, Yiqing; Zhang, Hailong; Xing, Lei; Zhao, Meixun
Publisher PANGAEA
Publication Year 2022
Funding Reference National Natural Science Foundation of China https://doi.org/10.13039/501100001809 Crossref Funder ID 41630966 and 41876118 ; Qingdao National Laboratory for Marine Science and Technology https://doi.org/10.13039/501100010954 Crossref Funder ID LMEES-YTSP-2018-02-01 The Youth Talent Support Program of the Laboratory for Marine Ecology and Environmental Science
Rights Creative Commons Attribution 4.0 International; https://creativecommons.org/licenses/by/4.0/
OpenAccess true
Representation
Resource Type Bundled Publication of Datasets; Collection
Format application/zip
Size 4 datasets
Discipline Earth System Research
Spatial Coverage (117.746W, 26.013S, 129.490E, 40.900N)
Temporal Coverage Begin 1983-01-01T00:00:00Z
Temporal Coverage End 2015-08-22T00:00:00Z