# Wang.Fujian_and_Taiwan.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-Fujian.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-Fujian.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.Fujian_and_Taiwan.1998 #------------------ # Investigators # Investigators: Wang, S.W.;Ye, J.L.;Gong, D.Y #------------------ # Description_Notes_and_Keywords # Description: decadal resolution #------------------ # 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: Fujian and Taiwan # Location: # Country: # Northernmost_Latitude: 24 # Southernmost_Latitude: 24 # Easternmost_Longitude: 121 # Westernmost_Longitude: 121 # Elevation: 3700 #------------------ # 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 1.7162847388664 1510.0 -0.585552607126216 1520.0 -0.709163747417504 1530.0 -2.26948225559947 1540.0 1.20640151647941 1550.0 -0.214880047641301 1560.0 -0.925529888069389 1570.0 0.186734762922656 1580.0 0.325749814681442 1590.0 0.681043386572127 1600.0 0.681021485717971 1610.0 -0.045076820433824 1620.0 0.325662955261035 1630.0 0.155712455285167 1640.0 -0.802116620840923 1650.0 -2.23884438021413 1660.0 -0.694021162483286 1670.0 -1.08025698972885 1680.0 0.310085342056084 1690.0 1.25242063710268 1700.0 0.0165176557507053 1710.0 0.572646584091588 1720.0 -2.0227199271609 1730.0 0.371771958323825 1740.0 0.773410935937312 1750.0 0.727042119988718 1760.0 -0.354368648716328 1770.0 1.46852696486876 1780.0 -1.38946120604305 1790.0 -0.354435864926272 1800.0 -0.354461541347436 1810.0 -0.648000528212539 1820.0 0.943170352884796 1830.0 -0.972460617850425 1840.0 0.572362604156255 1850.0 0.974001577493901 1860.0 -0.230999187472015 1870.0 0.417814497724568 1880.0 0.711311187977154 1890.0 -1.18887131703436 1900.0 -0.447372118158339 1910.0 -0.1538663674001 1920.0 -0.169336733977963 1930.0 1.25190026305902 1940.0 2.20968478065306 1950.0 2.88939161317836 1960.0 2.90481742977586