# 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-scit.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.scitula Mg/Ca SST Yiping2019 # Earliest_Year: 19211 # Most_Recent_Year: 2035 # 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.scit delta 18O,Globorotalia scitula,, per mil VPDB,, paleoceanography,corrected,isotope ratio mass spectrometry,N, ## MgCa_G.scit magnesium/calcium,Globorotalia scitula,,millimole per mole,,paleoceanography,,,N, ## Temp-MgCa_G.scit sea water temperature,magnesium/calcium;Globorotalia scitula,,degree Celsius,,paleoceanography,,,N,using Cleroux et al(2008) # #---------------- # Data: # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header" # Missing_Values: -999 # depth_cm age_calBP d18O_G.scit MgCa_G.scit SST-MgCa_G.scit 49 2035 1.21 1.65 8.48 89 3636 1.62 1.52 6.55 132 5423 2.06 1.54 6.88 154 6357 2.19 1.70 9.23 172 7379 2.01 1.68 8.98 224 10186 2.82 1.53 6.70 277 12025 2.02 1.79 10.63 303 13463 3.09 1.66 8.57 321 14253 2.78 1.92 12.56 339 15042 2.60 2.05 14.51 355 16784 2.87 2.03 14.27 379 19211 3.27 1.77 10.35