# PAGES2k Global 2,000 Year Multiproxy Database 
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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 2.0
# 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. 
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# Online_Resource: https://www.ncdc.noaa.gov/paleo/study/21171 
# Online_Resource: http://www1.ncdc.noaa.gov/pub/data/paleo/pages2k/pages2k2017/readme-pages2k2017.txt
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# Original_Source_URL: 
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# Description/Documentation lines begin with #
# Data lines have no #
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# Archive: Climate Reconstructions, Other Collections, Corals and Sclerosponges, Historical, Ice Cores, Paleolimnology, Speleothems, Tree Rings
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# Parameter_Keywords: 
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# Contribution_Date
#	Date: 2017-06-22
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# Title
#	Study_Name: PAGES2k Global 2,000 Year Multiproxy Database  
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# Investigators
# 	Investigators: Emile-Geay, J.; McKay, N.P.; Kaufman, D.S.; von Gunten, L.; Wang, J.; Anchukaitis, K.J.;
# Abram, N.J.; Addison, J.A.; Curran, M.A.J.; Evans, M.N.; Henley, B.J.; Hao, Z.; Martrat, B.; 
# McGregor, H.V.; Neukom, R.; Pederson, G.T.; Stenni, B.; Thirumalai, K.; Werner, J.P.; 
# Xu, C.; Divine, D.V.; Dixon, B.C.; Gergis, J.; Mundo, I.A.; Nakatsuka, T.; Phipps, S.J.; 
# Routson, C.C.; Steig, E.J.; Tierney, J.E.; Tyler, J.J.; Allen, K.J.; Bertler, N.A.N.;
# Björklund, J.; Chase, B.M.; Chen, M.-T.; Cook, E.; de Jong, R.; DeLong, K.L.; Dixon, D.A.; 
# Ekaykin, A.A.; Ersek, V.; Filipsson, H.L.; Francus, P.; Freund, M.B.; Frezzotti, M.; 
# Gaire, N.P.; Gajewski, K.; Ge, Q.; Goosse, H.; Gornostaeva, A.; Grosjean, M.;
# Horiuchi, K.; Hormes, A.; Husum, K.; Isaksson, E.; Kandasamy, S.; Kawamura, K.; 
# Kilbourne, H.; Koç, N.; Leduc, G.; Linderholm, H.W.; Lorrey, A.M.; Mikhalenko, V.; 
# Mortyn, P.G.; Motoyama, H.; Moy, A.D.; Mulvaney, R.; Munz, P.M.; Nash, D.J.; Oerter, H.;
# Opel, T.; Orsi, A.J.; Ovchinnikov, D.V.; Porter, T.J.; Roop, H.A.; Saenger, C.; Sano, M.;
# Sauchyn, D.; Saunders, K.M.; Seidenkrantz, M.-S.; Severi, M.; Shao, X.; Sicre, M.-A.; 
# Sigl, M.; Sinclair, K.; St. George, S.; St. Jacques, J.-M.; Thamban, M.; Thapa, U.K.; 
# Thomas, E.R.; Turney, C.; Uemura, R.; Viau, A.E.; Vladimirova, D.O.; Wahl, E.R.; 
# White, J.W.C.; Yu, Z.; Zinke, J. 
#--------------------
# Description_and_Notes
#	Description: PAGES2k database of 692 proxy records for the Common Era. 
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# Publication 
#	Authors: PAGES2k Consortium
#	Published_Date_or_Year: 2017
#	Published_Title: A global multiproxy database for temperature reconstructions of the Common Era
#	Journal_Name: Scientific Data
#	Volume: 
#	Edition: 
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#	Pages: 
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#	DOI: 10.1038/sdata.2017.88
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#	Full_Citation: 
#	Abstract: Reproducible climate reconstructions of the Common Era (1 CE to present) are key to placing industrial-era warming into the context of natural climatic variability. Here we present a community-sourced database of temperature-sensitive proxy records from the PAGES2k initiative. The database gathers 692 records from 648 locations, including all continental regions and major ocean basins. The proxy records are from trees, ice, sediment, reef-building corals, speleothems, documentary evidence, and other archives. They range in length from 50 to 2000 years, with a median of 547 years, while temporal resolution ranges from biweekly to centennial. Nearly half of the proxy timeseries are significantly correlated with surface temperature in the HadCRUT4.2 instrumental temperature product over the period 1850-2014. Simple global composite timeseries show a remarkable degree of coherence between high- and low-resolution proxy archives, with broadly similar patterns across archive types, terrestrial vs marine  locations, and screening criteria. The database is therefore suited to investigations of global and regional temperature variability over the Common Era, and is shared in the Linked Paleo Data (LiPD) format, including serializations in Matlab, R and Python.
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# Funding_Agency 
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# Site_Information 
#	Site_Name: Global
#	Location: Geographic Region>Global
#	Country:  
#	Northernmost_Latitude: 90.0 
#	Southernmost_Latitude: -90.0
#	Easternmost_Longitude: 180.0
#	Westernmost_Longitude: -180.0
#	Elevation: m  
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# Data_Collection   
#	Collection_Name: PAGES2k2017
#	Earliest_Year: 0
#	Most_Recent_Year: 2012
#	Time_Unit: AD
#	Core_Length: m
#	Notes: 
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# Chronology_Information
#	Chronology: 
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# Variables 
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# Data variables follow are preceded by "##" in columns one and two.
# Data line variables format:  Variables list, one per line, shortname-tab-longname-tab-longname components (9 components: what, material, error, units, seasonality, archive, detail, method, C or N for Character or Numeric data) 
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# Data:
# Data lines follow (have no #)
# Data line format - tab-delimited text, variable short name as header
# Missing Values:  
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