# 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-ghe27l-obliq.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: GHE27L # Location: South China Sea # Country: China # Northernmost_Latitude: 19.85 # Southernmost_Latitude: 19.85 # Easternmost_Longitude: 115.34 # Westernmost_Longitude: 115.34 # Elevation: #------------------ # Data_Collection # Collection_Name: SO204B P.obliquiloculata Mg/Ca SST Yiping2019 # Earliest_Year: 20831 # Most_Recent_Year: 630 # 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, ## MgCa_P.obliq magnesium/calcium,Pulleniatina obliquiloculata,,millimole per mole,,paleoceanography,,,N, ## Temp-MgCa_P.obliq sea water temperature,magnesium/calcium;Pulleniatina obliquiloculata,,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 # depth_cm age_calBP MgCa_P.obliq SST-MgCa_P.obliq 1 630 2.22 19.60 3 760 1.92 17.99 5 889 2.16 19.31 7 1019 2.02 18.55 9 1149 2.19 19.46 11 1278 2.17 19.38 13 1408 2.26 19.79 15 1538 2.27 19.84 17 1667 2.35 20.25 19 1797 2.01 18.53 21 1926 2.20 19.52 23 2056 2.00 18.43 25 2186 2.22 19.61 27 2315 2.05 18.75 29 2445 2.06 18.79 31 2575 1.99 18.37 33 2704 2.30 20.02 35 2834 1.91 17.94 37 2964 2.21 19.58 39 3093 2.13 19.15 41 3223 2.15 19.26 43 3353 2.07 18.81 45 3482 2.39 20.45 47 3612 2.13 19.15 49 3741 2.44 20.68 51 3871 2.08 18.91 53 4001 1.88 17.75 55 4130 2.04 18.68 57 4260 2.01 18.49 59 4398 1.94 18.09 61 4536 1.94 18.11 63 4673 1.78 17.13 65 4811 2.01 18.50 67 4949 1.98 18.31 69 5087 2.10 19.01 71 5225 1.97 18.28 73 5362 2.38 20.38 75 5500 2.07 18.85 77 5638 2.25 19.76 79 5776 2.21 19.57 81 5914 2.22 19.62 83 6052 2.22 19.61 85 6189 2.22 19.63 87 6327 2.14 19.23 89 6465 2.43 20.62 91 6603 2.32 20.12 93 6741 2.30 20.02 95 6878 2.31 20.07 97 7016 2.50 20.92 99 7154 2.34 20.21 101 7292 2.62 21.44 103 7430 2.24 19.74 105 7567 2.58 21.30 107 7705 2.35 20.22 109 7843 2.42 20.56 111 7945 2.59 21.33 113 8046 2.62 21.45 115 8148 2.38 20.41 117 8250 2.67 21.66 119 8352 2.33 20.15 121 8453 2.41 20.52 123 8555 2.48 20.84 125 8657 2.83 22.30 127 8758 2.59 21.33 129 8860 2.88 22.51 131 8962 2.55 21.13 133 9063 2.72 21.89 133 9063 2.64 21.55 135 9165 2.60 21.35 137 9267 2.53 21.05 139 9369 2.37 20.35 141 9470 2.75 21.98 141 9470 2.73 21.92 143 9572 2.47 20.81 145 9674 2.63 21.52 147 9775 2.35 20.25 149 9877 2.57 21.26 151 9944 2.46 20.77 153 10011 2.47 20.80 153 10011 2.49 20.88 157 10144 2.34 20.22 161 10211 2.43 20.64 165 10411 2.21 19.58 169 10545 2.23 19.67 173 10678 2.37 20.33 177 10812 2.41 20.54 181 10945 2.44 20.65 185 11079 2.34 20.21 189 11212 2.33 20.14 193 11391 2.45 20.70 197 11570 2.40 20.47 201 11749 2.34 20.17 205 11928 2.60 21.38 209 12107 2.28 19.91 213 12285 2.29 19.93 217 12464 2.14 19.22 221 12643 2.31 20.07 225 12822 2.25 19.75 229 13001 2.39 20.41 233 13180 2.56 21.18 237 13287 2.29 19.96 241 13394 2.30 20.02 245 13501 2.29 19.95 249 13608 2.50 20.92 253 13716 2.49 20.88 253 13716 2.48 20.86 257 13823 2.38 20.41 261 13930 2.60 21.37 265 14037 2.41 20.54 269 14144 2.20 19.51 273 14251 2.23 19.65 277 14364 2.20 19.50 277 14364 2.11 19.06 281 14477 2.20 19.52 285 14590 2.42 20.55 289 14703 2.19 19.44 293 14816 2.34 20.18 297 14929 2.28 19.89 329 15833 2.17 19.36 401 17065 2.06 18.79 413 17270 2.05 18.72 425 17475 2.04 18.67 437 17680 2.09 18.96 453 17954 2.02 18.55 465 18274 2.09 18.94 473 18487 2.27 19.85 485 18806 2.23 19.65 497 19126 1.98 18.34 509 19446 2.20 19.51 517 19659 2.18 19.43 529 19979 1.99 18.41 541 20298 2.17 19.35 553 20618 2.10 18.97 561 20831 1.98 18.36