# ZhangD..Zhejiang_and_Fujian_province.1980 #----------------------------------------------------------------------- # 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-ZhejiangAndFujian.Zhang.1980.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-ZhejiangAndFujian.Zhang.1980.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: ZhangD..Zhejiang_and_Fujian_province.1980 #------------------ # Investigators # Investigators: Zhang D. #------------------ # Description_Notes_and_Keywords # Description: Decadal resolution. Elevation estimated from GoogleEarth; rounded to 100 m #------------------ # Publication # Authors: Zhang D. # Published_Date_or_Year: 1980 # Published_Title: Winter temperature changes during the last 500 years in south China # Journal_Name: Chin. Sci. Bull. # Volume: 6 # Edition: # Issue: # Pages: 497–500 # Report: # DOI: # Online_Resource: Manually Entered # Full_Citation: # Abstract: #------------------ # Funding_Agency # Funding_Agency_Name: # Grant: #------------------ # Site_Information # Site_Name: Zhejiang and Fujian province # Location: # Country: # Northernmost_Latitude: 25 # Southernmost_Latitude: 25 # Easternmost_Longitude: 118 # Westernmost_Longitude: 118 # Elevation: 2400 #------------------ # Data_Collection # Collection_Name: # Earliest_Year: 1470.0 # 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 Frequency of cold/warm years; winter temperature, ,,index, winter, documents, ,,N, # #------------------ # Data: # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header) # Missing_Values: nan # year temperature 1470.0 1.23506152249379 1480.0 1.21930337173857 1490.0 1.21919948429869 1500.0 0.505765103059375 1510.0 -1.02294114828396 1520.0 -0.20776481042212 1530.0 0.489826644322724 1540.0 1.25014619536437 1550.0 0.481844278155006 1560.0 -0.991990855218761 1570.0 0.481666355722235 1580.0 1.24981781634672 1590.0 0.49718329610078 1600.0 0.504949531140613 1610.0 1.24173634329038 1620.0 -0.271291766141418 1630.0 -0.271369381032949 1640.0 -0.686922603834225 1650.0 -1.07111714465851 1660.0 -1.43963354357127 1670.0 -1.06344763726129 1680.0 0.441573028854879 1690.0 -1.04792711278235 1700.0 0.504124403371534 1710.0 -0.287705478481089 1720.0 -1.07169031605236 1730.0 -0.30354124517829 1740.0 1.22500022263254 1750.0 1.18572007793354 1760.0 1.21700949916625 1770.0 -0.288190285833549 1780.0 -1.04865910121097 1790.0 -1.80913149858791 1800.0 -0.304110831421308 1810.0 -0.264990697056624 1820.0 1.23218372937777 1830.0 -1.04122721588828 1840.0 -0.265245042131822 1850.0 -1.05707134198493 1860.0 -1.77834598905522 1870.0 0.800626375397716 1880.0 1.22385268969661 1890.0 -1.77858958918231 1900.0 -0.273571310715674 1910.0 1.52933051804029 1920.0 1.19216205195466 1930.0 1.18425491512982 1940.0 1.20770287092938 1950.0 0.462887125567763 1960.0 -0.266227790484811