# Zhang.Guangdong_and_Guangxi_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-GuangdongAndGuangxi.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-GuangdongAndGuangxi.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: 
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# File_Last_Modified_Date
#     Modified_Date: 2017-05-19
#------------------
# Title
#     Study_Name: Zhang.Guangdong_and_Guangxi_province.1980
#------------------
# Investigators
#     Investigators: Zhang, D.E.
#------------------
# Description_Notes_and_Keywords
#     Description: decadal resolution
#------------------
# Publication
#     Authors: Zhang, D.E.
#     Published_Date_or_Year: 1980
#     Published_Title: Winter temperature changes during the last 500 years in south China
#     Journal_Name: Chinese Science Bulletin
#     Volume: 6
#     Edition: 
#     Issue: 
#     Pages: 497–500
#     Report: 
#     DOI: 
#     Online_Resource: Manually Entered
#     Full_Citation: 
#     Abstract: 
#------------------
# Funding_Agency
#     Funding_Agency_Name: 
#     Grant: 
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# Site_Information
#     Site_Name: Guangdong and Guangxi province
#     Location: 
#     Country: 
#     Northernmost_Latitude: 23.5
#     Southernmost_Latitude: 23.5
#     Easternmost_Longitude: 112.5
#     Westernmost_Longitude: 112.5
#     Elevation: 2480
#------------------
# Data_Collection
#     Collection_Name: 
#     Earliest_Year: 1470.0
#     Most_Recent_Year: 1960.0
#     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	Frequency of cold/warm 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	1.45867852111519	
1480.0	0.826535498892053	
1490.0	1.46464054868675	
1500.0	-0.431230472107014	
1510.0	0.832303846778474	
1520.0	-0.431693325391202	
1530.0	-0.47065294689095	
1540.0	0.173952483068332	
1550.0	0.792713955714211	
1560.0	0.167028638882274	
1570.0	0.792247816919353	
1580.0	0.173020209974389	
1590.0	1.4494699432389	
1600.0	0.185443223952047	
1610.0	-1.05276579333382	
1620.0	1.44876745088467	
1630.0	-0.414906944638956	
1640.0	1.42895116931458	
1650.0	-1.72425251001716	
1660.0	0.809493774436661	
1670.0	1.45403683633993	
1680.0	-1.06728643053961	
1690.0	0.789464117201342	
1700.0	0.176707346900407	
1710.0	-1.72564435987616	
1720.0	-0.46210347536426	
1730.0	0.156677689665088	
1740.0	0.781883740045958	
1750.0	0.149786670014483	
1760.0	-1.07555616879639	
1770.0	0.187991276846155	
1780.0	0.149071050004046	
1790.0	-0.457244423576797	
1800.0	0.774047311552807	
1810.0	0.167728554259603	
1820.0	1.05731326431726	
1830.0	-2.32161146121672	
1840.0	0.179931630542237	
1850.0	-1.03894693725102	
1860.0	-1.71618230584069	
1870.0	-2.3289751852886	
1880.0	-1.05255171363059	
1890.0	0.185230558618903	
1900.0	0.18500077068595	
1910.0	0.184734877202645	
1920.0	0.713239438821517	
1930.0	1.42229064163493	
1940.0	0.803076165942792	
1950.0	0.796418215240039	
1960.0	0.157830611685292