# Wang.South_China.1998 #----------------------------------------------------------------------- # 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://www1.ncdc.noaa.gov/pub/data/paleo/pages2k/pages2k-temperature-v2-2017/data-version-2.0.0/Asi-SouthChina.Wang.1998.txt # Online_Resource_Description: This file. NOAA WDS Paleo formatted metadata and data for version 2.0.0 of this dataset. # # Online_Resource: https://www1.ncdc.noaa.gov/pub/data/paleo/pages2k/pages2k-temperature-v2-2017/data-version-2.0.0/Asi-SouthChina.Wang.1998.lpd # Online_Resource_Description: Linked Paleo Data (LiPD) formatted file containing the same metadata and data as this file, for version 2.0.0 of this dataset. # # Original_Source_URL: this study # Description/Documentation lines begin with # # Data lines have no # # # Archive: documents # Parameter_Keywords: # Dataset_DOI: # #------------------ # Contribution_Date # Date: #------------------ # File_Last_Modified_Date # Modified_Date: 2017-05-19 #------------------ # Title # Study_Name: Wang.South_China.1998 #------------------ # Investigators # Investigators: Wang, S.W.;Ye, J.L.;Gong, D.Y #------------------ # Description_Notes_and_Keywords # Description: Decadal resolution. Elevation estimated from GoogleEarth; rounded to 100 m #------------------ # Publication # Authors: Wang, S.W.;Ye, J.L.;Gong, D.Y # Published_Date_or_Year: 1998 # Published_Title: Climate in China during the Little Ice Age # Journal_Name: Quaternary Sciences # Volume: 1 # Edition: # Issue: # Pages: 54-64 # Report: # DOI: # Online_Resource: Manually Entered # Full_Citation: # Abstract: #------------------ # Funding_Agency # Funding_Agency_Name: # Grant: #------------------ # Site_Information # Site_Name: South China # Location: # Country: # Northernmost_Latitude: 23 # Southernmost_Latitude: 23 # Easternmost_Longitude: 114 # Westernmost_Longitude: 114 # Elevation: 2200 #------------------ # Data_Collection # Collection_Name: # Earliest_Year: 1500.0 # Most_Recent_Year: 1960.0 # Time_Unit: AD # Core_Length: # Notes: #------------------ # Species # Species_Name: # Species_Code: # Common_Name: #------------------ # Chronology: #------------------ # Variables # # Data variables follow that are preceded by "##" in columns one and two. # Data line variables format: Variables list, one per line, shortname-tab-longname-tab-longname components ( 10 components: what, material, error, units, seasonality, archive, detail, method, C or N for Character or Numeric data, additional_information) # ##year Year AD, ,,AD, , documents, ,,N, ##temperature Cold/warm description; annual temperature, ,,index, 1 2 3 4 5 6 7 8 9 10 11 12, documents, ,,N, ; climateInterpretation_seasonality changed - was originally annual; # #------------------ # Data: # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header) # Missing_Values: nan # year temperature 1500.0 0.157429639092533 1510.0 -0.118646665464906 1520.0 0.303578871540129 1530.0 -1.00502050704295 1540.0 -0.0662307816866294 1550.0 0.760869395257166 1560.0 0.443514812232082 1570.0 0.683881637058156 1580.0 0.394691569849092 1590.0 0.60786237411553 1600.0 -0.00291941445230103 1610.0 -1.03326339178673 1620.0 0.728752560840122 1630.0 -0.677454120004573 1640.0 0.694616879042072 1650.0 0.0553073938358698 1660.0 0.394007886487297 1670.0 0.676379363182822 1680.0 -1.13458089471383 1690.0 -0.670350717596443 1700.0 0.0455441468059171 1710.0 -1.2221401380509 1720.0 -0.967206815526693 1730.0 0.418220075864225 1740.0 0.464098673487904 1750.0 -0.272697051093108 1760.0 0.0380810554349472 1770.0 -0.153985957140692 1780.0 -0.750685491719547 1790.0 0.676746043702753 1800.0 0.318234249015864 1810.0 -0.461050363305689 1820.0 0.589186804284713 1830.0 -2.74390683295994 1840.0 -0.367114079205188 1850.0 -1.42453301813148 1860.0 -1.54655193766556 1870.0 -1.54292011768494 1880.0 -0.54852772626032 1890.0 -0.251831877640275 1900.0 0.618362493640025 1910.0 1.31872236116883 1920.0 2.43924974757441 1930.0 1.80018238422279 1940.0 2.33409748139745 1950.0 0.662628102987958 1960.0 0.498483476535692