# South China Sea Planktonic Foraminifer Mg/Ca and d18O Data and Ocean Heat Content(OHC) and Temperature Reconstruction during the last 21 kyr #--------------------------------------------------------------------------------- # World Data Service for Paleoclimatology, Boulder # and # NOAA Paleoclimatology Program # National Centers for Environmental Information (NCEI) #--------------------------------------------------------------------------------- # Template Version 3.0 # Encoding: UTF-8 # NOTE: Please cite Publication, and Online_Resource and date accessed when using these data. # If there is no publication information, please cite Investigators, Title, and Online_Resource and date accessed. # # Online_Resource: https://www.ncdc.noaa.gov/paleo/study/28353 # Description: # Online_Resource: https://www1.ncdc.noaa.gov/pub/data/paleo/contributions_by_author/yiping2019/yiping2019-so204b-trunc.txt # Description: # # Original_Source_URL: (URL to original source of data, if applicable) # Description: # # Description/Documentation lines begin with # # Data lines have no # # # Data_Type: Paleoceanography # # Dataset_DOI: # # Parameter_Keywords: oxygen isotopes, trace metals, reconstruction #-------------------- # Contribution_Date # Date: 2019-11-22 #-------------------- # File_Last_Modified_Date # Date: 2019-11-22 #-------------------- # Title # Study_Name: South China Sea Planktonic Foraminifer Mg/Ca and d18O Data and Ocean Heat Content(OHC) and Temperature Reconstruction during the last 21 kyr #-------------------- # Investigators # Investigators: Yang, Yiping; Xiang, Rong; Zhang, Lanlan; Zhong, Fuchang; Zhang, Miming #-------------------- # Description_Notes_and_Keywords # Description: Paleo-temperatures were calculated using the equations of Dekens et al. (2002) for Globigerinoides ruber(white), Anand et al. (2003) for Pulleniatina obliquiloculata and Globorotalia truncatulinoides (dextral), Cleroux et al. (2008) for Globorotalia inflata and Yu and Elderfield (2008) for Globorotalia scitula. # planktonic foraminifer G. ruber, G. truncatulinoides, G. inflata and G. scitula data are from site SO204B , P.obliquiloculata data are from site GHE 27L # Provided keywords: water temperature, Ocean Heat Content #-------------------- # Publication # Authors: # Published_Date_or_Year: # Published_Title: # Journal_Name: # Volume: # Edition: # Issue: # Pages: # Report_Number: # DOI: # Online_Resource: # Full_Citation: # Abstract: #------------------ # Funding_Agency # Funding_Agency_Name: # Grant: #------------------ # Site_Information # Site_Name: SO204B # Location: South China Sea # Country: China # Northernmost_Latitude: 21.2303 # Southernmost_Latitude: 21.2303 # Easternmost_Longitude: 118.051283 # Westernmost_Longitude: 118.051283 # Elevation: #------------------ # Data_Collection # Collection_Name: SO204B G.trunc Mg/Ca SST Yiping2019 # Earliest_Year: 19913 # Most_Recent_Year: 723 # Time_Unit: calyrBP # Core_Length: # Notes: #------------------ # Species # Species_Name: # Common_Name: # Tree_Species_Code: #------------------ # Chronology_Information # Chronology: #---------------- # Variables # variables format: shortname what,material,error,units,seasonality,data_type,detail,method,data_format,additional_information) # ## depth_cm depth,,,centimeter,,paleoceanography,,,N, ## age_calBP age,,,calendar year before present,,paleoceanography,,,N, ## d18O_G.trunc delta 18O,Globorotalia truncatulinoides,, per mil VPDB,, paleoceanography,corrected,isotope ratio mass spectrometry,N, ## MgCa_G.trunc magnesium/calcium,Globorotalia truncatulinoides,,millimole per mole,,paleoceanography,,,N, ## Temp-MgCa_G.trunc sea water temperature,magnesium/calcium;Globorotalia truncatulinoides,,degree Celsius,,paleoceanography,,,N,using Anand et al(2003) # #---------------- # Data: # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header" # Missing_Values: -999 (Value used to flag missing data in the table below) # depth_cm age_calBP d18O_G.trunc MgCa_G.trunc SST-MgCa_G.trunc 25 723 0.26 1.79 17.25 48 2002 0.18 1.67 16.42 73 2987 0.11 1.87 17.68 85 3473 -0.17 2.05 18.74 119 4879 0.61 1.77 17.11 148 6091 0.34 1.76 17.01 167 7095 0.44 2.08 18.88 185 8117 0.46 1.82 17.42 205 9242 0.14 2.02 18.54 221 10110 0.21 2.05 18.71 259 11074 0.27 2.01 18.53 277 12025 0.56 2.15 19.23 297 13150 0.83 1.95 18.15 309 13726 0.79 1.90 17.89 321 14253 0.83 1.94 18.09 337 14955 1.18 1.95 18.16 349 16075 1.46 2.06 18.80 361 17493 1.25 2.01 18.50 373 18910 1.31 1.94 18.09 393 19913 1.28 2.04 18.65