# ZhangD..Hunan-Jiangsu.1980
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#                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-Hunan-Jiangsu.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-Hunan-Jiangsu.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
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# Title
#     Study_Name: ZhangD..Hunan-Jiangsu.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: 
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# Funding_Agency
#     Funding_Agency_Name: 
#     Grant: 
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# Site_Information
#     Site_Name: Hunan-Jiangsu
#     Location: 
#     Country: 
#     Northernmost_Latitude: 28
#     Southernmost_Latitude: 28
#     Easternmost_Longitude: 116.5
#     Westernmost_Longitude: 116.5
#     Elevation: 2300
#------------------
# 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	-0.101104870418385	
1480.0	-0.0881580981764977	
1490.0	-0.404157337142958	
1500.0	-0.0880442038753589	
1510.0	-0.184744007363491	
1520.0	0.56353270054	
1530.0	-0.720004978581131	
1540.0	0.570092882015798	
1550.0	0.570149438180398	
1560.0	-0.0812711592233047	
1570.0	1.37008048957802	
1580.0	1.12503125388652	
1590.0	1.16378438162359	
1600.0	1.10578272247768	
1610.0	0.80267919810451	
1620.0	-0.126102187684242	
1630.0	-0.719465358810068	
1640.0	-0.100189008291076	
1650.0	-0.71290831757824	
1660.0	0.190175894002746	
1670.0	-0.0806757696725148	
1680.0	-1.32551844910833	
1690.0	-0.106373732912914	
1700.0	0.545154474773639	
1710.0	-1.35760850074823	
1720.0	-0.138462995520185	
1730.0	0.500161641667631	
1740.0	0.964631273128827	
1750.0	0.751826042229786	
1760.0	1.13244210344764	
1770.0	0.513272575944034	
1780.0	-1.37013739724754	
1790.0	-0.750860263874019	
1800.0	1.37776625523082	
1810.0	-1.70538674039258	
1820.0	-0.112129589173098	
1830.0	-0.0927223889502283	
1840.0	-2.58245644719842	
1850.0	-2.69850610835995	
1860.0	-1.20200060024914	
1870.0	-0.724636036166593	
1880.0	-0.724577126142895	
1890.0	0.513914307481945	
1900.0	1.38474980390451	
1910.0	0.501122273012314	
1920.0	0.494738826903131	
1930.0	0.488338095330719	
1940.0	1.07535473365929	
1950.0	-0.130778801754539	
1960.0	-0.182312180544366