# Wang.Central_China.1998
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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-CentralChina.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-CentralChina.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: 
#
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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: Wang.Central_China.1998
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# Investigators
#     Investigators: Wang, S.W.;Ye, J.L.;Gong, D.Y
#------------------
# Description_Notes_and_Keywords
#     Description: Decadal resolution. Elevation estimated from GoogleEarth; rounded to 100 m
#------------------
# 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: 
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# Funding_Agency
#     Funding_Agency_Name: 
#     Grant: 
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# Site_Information
#     Site_Name: Central China
#     Location: 
#     Country: 
#     Northernmost_Latitude: 29
#     Southernmost_Latitude: 29
#     Easternmost_Longitude: 113
#     Westernmost_Longitude: 113
#     Elevation: 3000
#------------------
# Data_Collection
#     Collection_Name: 
#     Earliest_Year: 1470.0
#     Most_Recent_Year: 1990.0
#     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        
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# 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 descriptions; annual temperature, ,,index, 1 2 3 4 5 6 7 8 9 10 11 12, documents, ,,N,  ; climateInterpretation_seasonality changed - was originally annual;  
#
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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	0.985659299601441	
1480.0	1.4316141454475	
1490.0	-0.691130905762617	
1500.0	0.423756203912687	
1510.0	-0.441396193274386	
1520.0	0.129426003875945	
1530.0	-0.218418770351357	
1540.0	1.68134885793573	
1550.0	0.120506907354211	
1560.0	-1.3689822661136	
1570.0	1.06593117323689	
1580.0	-0.566263549518502	
1590.0	0.0937496202589312	
1600.0	0.575380849722003	
1610.0	1.01241659163656	
1620.0	-1.00329929637291	
1630.0	0.56646175320027	
1640.0	0.941063819462694	
1650.0	-1.65439336221884	
1660.0	-1.37790136263533	
1670.0	-0.378962512682407	
1680.0	-0.637616321692372	
1690.0	-0.0311177384551056	
1700.0	0.789439171183456	
1710.0	-0.744645487362941	
1720.0	0.307807941720384	
1730.0	1.14620304440241	
1740.0	-1.44033503828747	
1750.0	-0.387881611674062	
1760.0	0.0580732292321533	
1770.0	0.584299946243737	
1780.0	0.56646175320027	
1790.0	-0.450315292266042	
1800.0	-0.423558000230919	
1810.0	-0.584101742561969	
1820.0	-0.700049999814429	
1830.0	-1.44925413727912	
1840.0	-0.717888195327818	
1850.0	0.272131553163527	
1860.0	-2.7157658878239	
1870.0	-0.218418770351357	
1880.0	0.289969748676916	
1890.0	0.191859681998002	
1900.0	0.20969787504147	
1910.0	0.780520074661722	
1920.0	2.03811272868477	
1930.0	1.53864330864815	
1940.0	2.12730369884195	
1950.0	0.334565233755506	
1960.0	0.584299946243737	
1970.0	0.191859681998002	
1980.0	0.0134777466234846	
1990.0	2.15406099087707