# Zheng.Guangdong.1982
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#                World Data Service for Paleoclimatology, Boulder            
#                                  and            
#                     NOAA Paleoclimatology Program            
#             National Centers for Environmental Information (NCEI)            
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# 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-Guangdong.Zheng.1982.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-Guangdong.Zheng.1982.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: 
#
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# Contribution_Date
#     Date: 
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# File_Last_Modified_Date
#     Modified_Date: 2017-05-19
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# Title
#     Study_Name: Zheng.Guangdong.1982
#------------------
# Investigators
#     Investigators: Zheng, S.-Z.
#------------------
# Description_Notes_and_Keywords
#     Description: decadal resolution
#------------------
# Publication
#     Authors: Zheng, S.-Z.
#     Published_Date_or_Year: 1982
#     Published_Title: Climate in the Little Ice Age and its effects in Guangdong, China
#     Journal_Name: Chinese Science Bulletin
#     Volume: 27
#     Edition: 
#     Issue: 
#     Pages: 302–304
#     Report: 
#     DOI: 
#     Online_Resource: Manually Entered
#     Full_Citation: 
#     Abstract: 
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# Funding_Agency
#     Funding_Agency_Name: 
#     Grant: 
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# Site_Information
#     Site_Name: Guangdong
#     Location: 
#     Country: 
#     Northernmost_Latitude: 23.16
#     Southernmost_Latitude: 23.16
#     Easternmost_Longitude: 113.23
#     Westernmost_Longitude: 113.23
#     Elevation: 3900
#------------------
# Data_Collection
#     Collection_Name: 
#     Earliest_Year: 1470.0
#     Most_Recent_Year: 1940.0
#     Time_Unit: AD
#     Core_Length: 
#     Notes: 
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# Species
#     Species_Name: 
#     Species_Code: 
#     Common_Name: 
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# Chronology:        

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# 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 winter record pieces in every ten years; winter temperature, ,,index, winter, documents, ,,N,   
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# Data:        
# Data lines follow (have no #)        
# Data line format - tab-delimited text, variable short name as header)        
# Missing_Values: nan
#
year           temperature	
1470.0	-0.834581327562613	
1480.0	-0.0634076162624573	
1490.0	-0.834581327562613	
1500.0	1.17047032181779	
1510.0	-0.834581327562613	
1520.0	-0.217642358522489	
1530.0	3.32975671345823	
1540.0	0.399296610517636	
1550.0	-0.834581327562613	
1560.0	-0.757463956432598	
1570.0	-0.834581327562613	
1580.0	-0.448994471912535	
1590.0	-0.834581327562613	
1600.0	-0.834581327562613	
1610.0	0.476413981647652	
1620.0	-0.680346585302582	
1630.0	1.09335295068778	
1640.0	-0.834581327562613	
1650.0	1.86452666198793	
1660.0	0.245061868257605	
1670.0	-0.834581327562613	
1680.0	0.86200083729773	
1690.0	0.86200083729773	
1700.0	-0.37187710078252	
1710.0	0.0137097548675583	
1720.0	0.784883466167714	
1730.0	-0.757463956432598	
1740.0	-0.526111843042551	
1750.0	0.476413981647652	
1760.0	-0.140524987392473	
1770.0	-0.757463956432598	
1780.0	0.0908271259975739	
1790.0	-0.757463956432598	
1800.0	-0.603229214172567	
1810.0	-0.526111843042551	
1820.0	-0.834581327562613	
1830.0	2.09587877537798	
1840.0	-0.757463956432598	
1850.0	-0.140524987392473	
1860.0	0.553531352777668	
1870.0	1.01623557955776	
1880.0	-0.526111843042551	
1890.0	2.40434825989804	
1900.0	-0.757463956432598	
1910.0	-0.603229214172567	
1920.0	-0.526111843042551	
1930.0	-0.834581327562613	
1940.0	-0.37187710078252