# Deep Pacific 22,000 Year D14C Data and Projection Ventilation Ages 
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#                World Data Service for Paleoclimatology, Boulder 
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#                     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. 
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# Online_Resource: https://www.ncdc.noaa.gov/paleo/study/25110 
#       Description: NOAA Landing Page
# Online_Resource: https://www1.ncdc.noaa.gov/pub/data/paleo/contributions_by_author/lund2013/lund2013-2386-proj-age-err.txt
#       Description: NOAA location of the template
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# Original_Source_URL:  
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# Description/Documentation lines begin with #
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# Archive: Paleoceanography
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# Dataset DOI: 
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# Parameter_Keywords: age control, carbon isotopes
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# Contribution_Date
#	Date: 2018-09-07
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# File_Last_Modified_Date
#	Date: 2018-09-07
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# Title
#	Study_Name: Deep Pacific 22,000 Year D14C Data and Projection Ventilation Ages 
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# Investigators
#	Investigators: Lund, D.C.
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# Description_Notes_and_Keywords
#	Description: Deep Pacific ventilation ages estimated from D14C using revised projection age and TTD-ETD methods on 4 Pacific Ocean sediment cores for the past 22,000 years.
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# Publication 
#	Authors: David C.Lund
#	Published_Date_or_Year: 2013-11-01      
#	Published_Title: Deep Pacific ventilation ages during the last deglaciation: Evaluating the influence of diffusive mixing and source region reservoir age 
#	Journal_Name: Earth and Planetary Science Letters
#	Volume: 381
#	Edition: 
#	Issue: 
#	Pages: 52-62
#	Report_Number: 
#	DOI: 10.1016/j.epsl.2013.08.032
#	Online_Resource: https://www.sciencedirect.com/science/article/pii/S0012821X1300469X
#	Full_Citation: 
#	Abstract: Enhanced ventilation of the deep ocean during the last deglaciation may have caused the rise in atmospheric carbon dioxide that drove Earth's climate from a glacial to interglacial state. Recent results based on the projection age method, however, suggest the ventilation rate of the deep Pacific slowed during the deglaciation, opposite the expected pattern (Lund et al., 2011). Because the projection age method does not account for tracer diffusion (Adkins and Boyle, 1997) it can yield spurious results and therefore requires validation with alternative techniques. Here ventilation ages are determined using the transit-time equilibration-time distribution (TTD-ETD) method which explicitly accounts for diffusive mixing in the ocean interior (DeVries and Primeau, 2010). The overall time history of deep Pacific TTD-ETD and projection ages is very similar; both show a 1000-yr increase in ventilation age during Heinrich Stadial 1 (HS1; 14.5-17.5 kyr BP) and a 500-yr increase during the Younger Dryas (YD). The similarity is due in part to the use of projection age error estimates that take into account uncertainty in both calendar age and benthic 14C age. Centennial-scale offsets between the TTD-ETD and projection ages are due primarily to the different approaches used to estimate surface ocean radiocarbon content. Both the TTD-ETD and projection age results imply that the ventilation rate of the deep Pacific decreased during the deglaciation, opposite the pattern expected if Southern Ocean upwelling and enhanced meridional overturning drove outgassing of CO2 from the abyss. Variations in surface water reservoir age could cause an apparent shift in deep Pacific ventilation age but existing proxy records from the Southern Ocean appear to be inconsistent with such a driver.
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# Funding_Agency 
#	Funding_Agency_Name: University of Michigan
#	Grant: 
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# Site_Information 
#	Site_Name: MD01-2386
#	Location: Ocean>Pacific Ocean>Western Pacific Ocean
#	Country:  
#	Northernmost_Latitude: 1.13
# 	Southernmost_Latitude: 1.13
# 	Easternmost_Longitude: 129.793
# 	Westernmost_Longitude: 129.793
# 	Elevation: -2816 m
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# Data_Collection   
#	Collection_Name: Lund2013-2386-proj-age-err
#	Earliest_Year: 19804
#	Most_Recent_Year: 40
#	Time_Unit: Cal. Year BP
#	Core_Length: 
#	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:  one per line, shortname-tab-variable components (what, material, error, units, seasonality, data type,detail, method, C or N for Character or Numeric data, free text) 
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## age_calkaBP+	age, , , calendar Kyears before present, , , , ,N,
## age_proj+	Projection age upper, , , years, , , , ,N,
## age_calkaBP-	age, , , calendar Kyears before present, , , , ,N,
## age_proj-	Projection age lower, , , years, , , , ,N,
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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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age_calkaBP+	age_proj+	age_calkaBP-	age_proj-
0.040	1247.436	0.059	1200.272
0.800	1140.003	1.162	772.139
4.924	1925.887	5.396	1433.455
9.893	1541.854	10.384	935.560
10.723	1919.266	11.151	1480.380
12.219	1394.817	12.621	963.343
12.780	1176.488	13.136	790.962
13.667	2939.790	14.153	1848.742
13.787	2831.803	14.492	2108.389
15.055	2361.046	15.957	1417.812
16.083	1749.519	17.025	612.371
16.749	1802.291	17.095	1416.429
17.249	1561.710	17.813	982.734
17.417	1942.349	17.982	1370.957
18.066	1886.949	18.671	1185.462
18.719	1554.469	19.268	1002.161
18.992	2302.553	19.804	1478.333