# Mafia Archipelago, Tanzania 17th and 20th Century Diploastrea Coral d18O 
#----------------------------------------------------------------------- 
#                World Data Center for Paleoclimatology, Boulder 
#                                  and 
#                     NOAA Paleoclimatology Program 
#----------------------------------------------------------------------- 
# 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://www.ncdc.noaa.gov/cdo/f?p=519:1:::::P1_STUDY_ID:10808
#
# Online_Resource: https://www.ncdc.noaa.gov/paleo/study/24611
#
# Original_Source_URL: ftp://ftp.ncdc.noaa.gov/pub/data/paleo/coral/indian_ocean/mafia2006.txt
# 
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Corals and Sclerosponges
#--------------------
# Contribution_Date
#	Date: 2011-04
#--------------------
# Title
#	Study_Name: Mafia Archipelago, Tanzania 17th and 20th Century Diploastrea Coral d18O 
#--------------------
# Investigators
#       Investigators: Damassa, T.D.; Cole, J.E.; Barnett, H.R.; Ault, T.R.; McClanahan, T.R.  
#--------------------
# Description_and_Notes
#	Description: This dataset includes d18O values and anomalies from a coral  that grew in the tropical western Indian Ocean, in Tanzania's  Mafia archipelago. Data span the 20th century at monthly  resolution and the interval of 1622-1721 at bimonthly resolution.  Anomalies were calculated by subtracting the mean value for the  1 or 2 month period as appropriate for dataset resolution.  These data originate from a single colony of Diploastrea heliopora  cored in July 2000 at Fungu Mrima Reef in the Mafia Archipelago  of Tanzania. We slabbed and X-rayed the core and characterized  the growth geometry using SEM. We sampled the columella portion  of the skeleton at 0.25 mm (for the 20th-century) and 0.5 mm  (for the 17th century) depth intervals using a diamond-encrusted  drill bit. We assigned ages to the samples based on density  banding and isotopic seasonality, assuming d18O maxima fell  in August (the coldest month). We estimate the age uncertainty  for the 20th century interval as ~±1yr and for the older interval  at ~±5yr.  Fungu Mrima Reef, Mafia Archipelago, Tanzania 
#--------------------
# Publication 
#       Authors: Damassa, T.D.; Cole, J.E.; Barnett, H.R.; Ault, T.R.; McClanahan, T.R.
#       Published_Date_or_Year: 2006     
#       Published_Title: Enhanced multidecadal climate variability in the 17th century from coral isotope records in the western Indian Ocean
#       Journal_Name: Paleoceanography
#       Volume: 21
#       Edition: 
#       Issue: PA2016
#       Pages: 
#       DOI: 10.1029/2005PA001217 
#       Online_Resource: 
#       Full_Citation: Damassa, T.D., J.E. Cole, H.R. Barnett, T.R. Ault, and T.R. McClanahan. 2006. Enhanced multidecadal climate variability in the 17th century from coral isotope records in the western Indian Ocean. Paleoceanography, 21, PA2016, doi: 10.1029/2005PA001217 
#       Abstract: The slowly growing coral Diploastrea heliopora affords a novel opportunity to obtain multicentury records of paleoclimate, including details of the interannual rhythms associated with the El Nino-Southern Oscillation (ENSO) system. We examine climate variability in an ENSO-teleconnected region using new oxygen isotope records from D. heliopora, spanning most of the twentieth (1896-1998) and seventeenth (1622-1722) centuries, from the Mafia archipelago, Tanzania. The modern record demonstrates coherency with relevant instrumental and proxy time series, documents twentieth century warming, and displays significant power at ENSO periodicities. The seventeenth century record lacks any trend, exhibits interannual variance comparable to the modern record, and displays a pronounced interdecadal signal not evident in the twentieth century that correlates with other tropical and hemispheric climate records. We find no clear evidence of solar irradiance influence on interannual variability in the western Indian Ocean during these intervals, although the mean sea surface temperature appears to vary inversely with insolation. 
#------------------
#	Authors: Anderson, D.M., Tardif, R., Horlick, K., Erb, M.P., Hakim, G.J., Noone, D., Perkins, W.A., and E. Steig
#	Published_Date_or_Year: 2018
#	Published_Title: Additions to the last millennium reanalysis multi-proxy database
#	Journal_Name: Data Science Journal
#	Volume:
#	Edition:
#	Issue:
#	Pages:
#	Report_Number:
#	DOI:
#	Online_Resource:
#	Full_Citation: Anderson, D.M., Tardif, R., Horlick, K., Erb, M.P., Hakim, G., J., Noone, D., Perkins, W.A., and E. Steig, submitted. Additions to the last millennium reanalysis multi-proxy database. Data Science Journal.
#	Abstract: Progress in paleoclimatology increasingly occurs via data syntheses. We describe additions to a collection prepared for use in paleoclimate state estimation, specifically the Last Millennium Reanalysis (LMR).  The 2290 additional series include 2152 tree ring chronologies and 138 other series.  They supplement the collection used previously and together form a database titled LMRdb 1.0.0. The additional data draws from lake core, ice core, coral, speleothem, and tree ring archives, using published data primarily from the NOAA Paleoclimatology archive and a set of tree ring width chronologies standardized from raw International Tree Ring Data Bank ring width series. In contrast to many previous paleo compilations, the data were not selected (screened) on the basis of their environmental correlation, multi-century length, or other attributes. The inclusion of proxies sensitive to moisture and other environmental variables expands their use in data assimilation.  A preliminary calibration using linear regression with mean annual temperature reveals characteristics of the proxy series and their relationship to temperature, as well as the noise and error characteristics of the records. The additional records are structured as individual files in the NOAA Paleoclimatology format and archived at NOAA Paleoclimatology (Anderson et al. 2018) and will continue to be improved and expanded as part of the LMR Project.  The additions represent a four-fold increase in the number of records available for assimilation, provide expanded geographic coverage, and add additional proxy variables.  Applications include data assimilation, proxy system model development, and paleoclimate reconstruction using climate field reconstruction and other methods.
#------------------
# Funding_Agency 
#       Funding_Agency_Name: US National Science Foundation ATM CAREER grant
#       Grant: 
#------------------
# Funding_Agency 
#       Funding_Agency_Name: US National Oceanic and Atmospheric Administration (NOAA) Climate Change Data and Diagnostics program
#       Grant: 
#------------------
#	Funding_Agency_Name: National Science Foundation
#	Grant:AGS-1304263
#	Funding_Agency_Name: National Oceanic and Atmospheric Administration
#	Grant:NA14OAR4310176
#------------------
# Site_Information 
#       Site_Name: Mafia Archipelago, Tanzania
#       Location: Africa>Eastern Africa>Tanzania
#	Country: Tanzania  
#	Northernmost_Latitude: -8.0167 
# 	Southernmost_Latitude: -8.0167 
# 	Easternmost_Longitude: 39.50
# 	Westernmost_Longitude: 39.50 
# 	Elevation: -6 m  
#------------------
# Data_Collection
#	Collection_Name: 06tanz01a
#	Earliest_Year: 1622
#	Most_Recent_Year: 1722
#	Time_Unit: y_ad
#	Core_Length: 
#	Notes: {"database":"LMR"}  
#------------------
# Species
#	Species_Name: Diploastrea heliopora 
#	Common_Name: 
#------------------
# Chronology: 
# 
#
# 
#
# 
#
#
#
#----------------
# 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 (9 components: what, material, error, units, seasonality, archive, detail, method, C or N for Character or Numeric data) 
#
##age	age, , ,years AD, , Corals and Sclerosponges, , ,N
##d18O	delta 18 Oxygen, Diploastrea heliopora, , permil VPDB, , Corals and Sclerosponges, , ,N
##d18O_anom	delta 18 Oxygen anomaly, Diploastrea heliopora, , permil VPDB, , Corals and Sclerosponges, anomaly, ,N
#
#----------------
# Data:
# Data lines follow (have no #)
# Data line format - tab-delimited text, variable short name as header
# Missing Values: NAN
#
age	d18O	d18O_anom
1622.000	-4.055	0.009
1622.167	-3.975	0.089
1622.333	-3.643	0.228
1622.500	-3.530	0.150
1622.667	-3.797	0.060
1622.833	-3.870	0.095
1623.000	-3.852	0.212
1623.167	-3.816	0.248
1623.333	-3.579	0.292
1623.500	-3.507	0.173
1623.667	-3.812	0.045
1623.833	-3.976	-0.011
1624.000	-4.145	-0.082
1624.167	-3.879	0.185
1624.333	-3.532	0.338
1624.500	-3.413	0.267
1624.667	-3.648	0.209
1624.833	-3.839	0.126
1625.000	-3.770	0.293
1625.167	-3.876	0.188
1625.333	-3.738	0.133
1625.500	-3.563	0.117
1625.667	-3.675	0.182
1625.833	-3.730	0.235
1626.000	-3.975	0.089
1626.167	-3.962	0.102
1626.333	-3.969	-0.099
1626.500	-3.666	0.014
1626.667	-3.810	0.047
1626.833	-4.051	-0.086
1627.000	-4.069	-0.006
1627.167	-3.878	0.186
1627.333	-3.897	-0.027
1627.500	-3.568	0.112
1627.667	-3.751	0.106
1627.833	-3.609	0.356
1628.000	-4.045	0.018
1628.167	-4.217	-0.153
1628.333	-3.941	-0.071
1628.500	-3.608	0.072
1628.667	-3.788	0.069
1628.833	-3.831	0.134
1629.000	-4.104	-0.041
1629.167	-4.033	0.031
1629.333	-3.584	0.286
1629.500	-3.453	0.227
1629.667	-3.683	0.174
1629.833	-3.745	0.220
1630.000	-3.977	0.087
1630.167	-4.006	0.058
1630.333	-3.588	0.283
1630.500	-3.410	0.270
1630.667	-3.627	0.230
1630.833	-3.647	0.318
1631.000	-3.944	0.119
1631.167	-3.910	0.154
1631.333	-3.738	0.133
1631.500	-3.567	0.113
1631.667	-3.650	0.207
1631.833	-3.789	0.176
1632.000	-3.926	0.138
1632.167	-4.049	0.015
1632.333	-3.867	0.003
1632.500	-3.678	0.002
1632.667	-3.788	0.069
1632.833	-3.918	0.047
1633.000	-4.050	0.013
1633.167	-4.061	0.003
1633.333	-3.807	0.063
1633.500	-3.698	-0.018
1633.667	-3.809	0.048
1633.833	-3.914	0.051
1634.000	-4.015	0.049
1634.167	-3.963	0.101
1634.333	-3.748	0.122
1634.500	-3.698	-0.018
1634.667	-3.909	-0.052
1634.833	-4.056	-0.091
1635.000	-4.157	-0.093
1635.167	-4.135	-0.071
1635.333	-3.909	-0.038
1635.500	-3.676	0.004
1635.667	-3.895	-0.038
1635.833	-3.995	-0.030
1636.000	-3.983	0.081
1636.167	-4.081	-0.017
1636.333	-4.021	-0.151
1636.500	-3.613	0.067
1636.667	-3.676	0.181
1636.833	-3.725	0.240
1637.000	-3.952	0.111
1637.167	-4.024	0.040
1637.333	-4.019	-0.148
1637.500	-3.906	-0.226
1637.667	-3.945	-0.088
1637.833	-4.148	-0.183
1638.000	-4.208	-0.144
1638.167	-4.268	-0.204
1638.333	-4.160	-0.290
1638.500	-3.908	-0.228
1638.667	-4.021	-0.164
1638.833	-4.066	-0.101
1639.000	-4.096	-0.033
1639.167	-4.134	-0.070
1639.333	-4.104	-0.234
1639.500	-3.726	-0.046
1639.667	-3.802	0.055
1639.833	-3.999	-0.034
1640.000	-4.049	0.015
1640.167	-4.223	-0.159
1640.333	-4.036	-0.165
1640.500	-3.819	-0.139
1640.667	-3.995	-0.138
1640.833	-4.047	-0.082
1641.000	-4.097	-0.034
1641.167	-4.147	-0.083
1641.333	-3.970	-0.100
1641.500	-3.846	-0.166
1641.667	-3.899	-0.042
1641.833	-4.131	-0.166
1642.000	-4.189	-0.126
1642.167	-4.183	-0.119
1642.333	-3.930	-0.059
1642.500	-3.838	-0.158
1642.667	-4.024	-0.167
1642.833	-4.058	-0.093
1643.000	-4.143	-0.079
1643.167	-4.186	-0.122
1643.333	-3.864	0.007
1643.500	-3.762	-0.082
1643.667	-3.880	-0.023
1643.833	-3.981	-0.016
1644.000	-4.088	-0.025
1644.167	-4.058	0.006
1644.333	-3.784	0.087
1644.500	-3.522	0.158
1644.667	-3.554	0.303
1644.833	-3.812	0.153
1645.000	-4.054	0.010
1645.167	-3.993	0.071
1645.333	-3.812	0.059
1645.500	-3.715	-0.035
1645.667	-3.895	-0.038
1645.833	-3.988	-0.023
1646.000	-4.079	-0.016
1646.167	-4.025	0.039
1646.333	-3.851	0.020
1646.500	-3.792	-0.112
1646.667	-4.016	-0.159
1646.833	-4.086	-0.121
1647.000	-4.356	-0.293
1647.167	-4.103	-0.039
1647.333	-3.857	0.014
1647.500	-3.689	-0.009
1647.667	-3.872	-0.015
1647.833	-4.036	-0.071
1648.000	-3.995	0.068
1648.167	-4.223	-0.159
1648.333	-3.975	-0.105
1648.500	-3.705	-0.025
1648.667	-3.788	0.069
1648.833	-3.850	0.115
1649.000	-3.836	0.228
1649.167	-3.816	0.248
1649.333	-3.712	0.159
1649.500	-3.659	0.021
1649.667	-3.888	-0.031
1649.833	-4.014	-0.049
1650.000	-4.218	-0.154
1650.167	-4.118	-0.054
1650.333	-3.874	-0.004
1650.500	-3.780	-0.100
1650.667	-3.874	-0.017
1650.833	-3.932	0.033
1651.000	-4.030	0.033
1651.167	-4.146	-0.082
1651.333	-3.884	-0.013
1651.500	-3.533	0.147
1651.667	-3.672	0.185
1651.833	-3.919	0.046
1652.000	-4.049	0.014
1652.167	-3.965	0.099
1652.333	-3.792	0.078
1652.500	-3.619	0.061
1652.667	-3.829	0.028
1652.833	-3.960	0.005
1653.000	-4.080	-0.016
1653.167	-4.165	-0.101
1653.333	-3.922	-0.051
1653.500	-3.696	-0.016
1653.667	-3.890	-0.033
1653.833	-4.060	-0.095
1654.000	-4.103	-0.039
1654.167	-4.171	-0.107
1654.333	-3.965	-0.095
1654.500	-3.844	-0.164
1654.667	-4.001	-0.144
1654.833	-4.047	-0.082
1655.000	-4.043	0.021
1655.167	-4.235	-0.171
1655.333	-3.893	-0.023
1655.500	-3.791	-0.111
1655.667	-3.966	-0.109
1655.833	-4.250	-0.285
1656.000	-4.178	-0.115
1656.167	-4.293	-0.229
1656.333	-3.921	-0.050
1656.500	-3.786	-0.106
1656.667	-3.861	-0.004
1656.833	-3.974	-0.009
1657.000	-4.076	-0.012
1657.167	-4.109	-0.045
1657.333	-3.998	-0.128
1657.500	-3.806	-0.126
1657.667	-3.940	-0.083
1657.833	-4.047	-0.082
1658.000	-4.221	-0.157
1658.167	-4.219	-0.155
1658.333	-4.043	-0.173
1658.500	-3.884	-0.204
1658.667	-4.054	-0.197
1658.833	-4.169	-0.204
1659.000	-4.342	-0.279
1659.167	-4.283	-0.219
1659.333	-3.906	-0.035
1659.500	-3.695	-0.015
1659.667	-3.903	-0.046
1659.833	-4.138	-0.173
1660.000	-4.325	-0.262
1660.167	-4.261	-0.197
1660.333	-3.961	-0.091
1660.500	-3.812	-0.132
1660.667	-4.007	-0.150
1660.833	-4.049	-0.084
1661.000	-4.133	-0.069
1661.167	-4.038	0.026
1661.333	-3.960	-0.089
1661.500	-3.834	-0.154
1661.667	-4.012	-0.155
1661.833	-4.078	-0.113
1662.000	-4.124	-0.061
1662.167	-4.337	-0.273
1662.333	-4.185	-0.315
1662.500	-3.855	-0.175
1662.667	-4.073	-0.216
1662.833	-4.154	-0.189
1663.000	-4.339	-0.276
1663.167	-4.302	-0.238
1663.333	-3.987	-0.116
1663.500	-3.871	-0.191
1663.667	-3.965	-0.108
1663.833	-4.033	-0.068
1664.000	-4.236	-0.173
1664.167	-4.131	-0.067
1664.333	-3.755	0.116
1664.500	-3.636	0.044
1664.667	-3.891	-0.034
1664.833	-3.927	0.038
1665.000	-4.017	0.047
1665.167	-3.914	0.150
1665.333	-3.771	0.099
1665.500	-3.598	0.082
1665.667	-3.829	0.028
1665.833	-4.052	-0.087
1666.000	-4.275	-0.211
1666.167	-4.031	0.033
1666.333	-3.732	0.139
1666.500	-3.665	0.015
1666.667	-3.787	0.070
1666.833	-3.840	0.125
1667.000	-3.908	0.156
1667.167	-3.942	0.122
1667.333	-3.861	0.009
1667.500	-3.756	-0.076
1667.667	-3.861	-0.004
1667.833	-4.017	-0.052
1668.000	-4.039	0.024
1668.167	-3.974	0.090
1668.333	-3.862	0.009
1668.500	-3.724	-0.044
1668.667	-3.988	-0.131
1668.833	-4.193	-0.228
1669.000	-4.130	-0.067
1669.167	-4.267	-0.203
1669.333	-3.955	-0.085
1669.500	-3.696	-0.016
1669.667	-3.890	-0.033
1669.833	-3.998	-0.033
1670.000	-3.923	0.140
1670.167	-3.898	0.166
1670.333	-3.779	0.091
1670.500	-3.605	0.075
1670.667	-3.769	0.088
1670.833	-3.782	0.183
1671.000	-3.981	0.082
1671.167	-3.912	0.152
1671.333	-3.895	-0.025
1671.500	-3.763	-0.083
1671.667	-3.889	-0.032
1671.833	-4.115	-0.150
1672.000	-4.009	0.055
1672.167	-3.986	0.078
1672.333	-3.832	0.038
1672.500	-3.638	0.042
1672.667	-3.928	-0.071
1672.833	-3.880	0.085
1673.000	-4.067	-0.004
1673.167	-4.067	-0.003
1673.333	-3.850	0.020
1673.500	-3.542	0.138
1673.667	-3.666	0.191
1673.833	-3.856	0.109
1674.000	-3.967	0.096
1674.167	-3.994	0.070
1674.333	-3.960	-0.090
1674.500	-3.644	0.036
1674.667	-3.684	0.173
1674.833	-3.884	0.081
1675.000	-3.923	0.140
1675.167	-4.027	0.037
1675.333	-3.747	0.123
1675.500	-3.646	0.034
1675.667	-3.844	0.013
1675.833	-3.979	-0.014
1676.000	-3.804	0.259
1676.167	-3.918	0.146
1676.333	-3.923	-0.053
1676.500	-3.682	-0.002
1676.667	-3.791	0.066
1676.833	-3.824	0.141
1677.000	-3.948	0.115
1677.167	-4.079	-0.015
1677.333	-3.943	-0.073
1677.500	-3.668	0.012
1677.667	-3.983	-0.126
1677.833	-4.164	-0.199
1678.000	-4.175	-0.112
1678.167	-4.229	-0.165
1678.333	-3.979	-0.109
1678.500	-3.674	0.006
1678.667	-3.766	0.091
1678.833	-3.888	0.077
1679.000	-4.008	0.055
1679.167	-4.016	0.048
1679.333	-3.855	0.016
1679.500	-3.599	0.081
1679.667	-3.843	0.014
1679.833	-4.016	-0.051
1680.000	-4.118	-0.055
1680.167	-3.904	0.160
1680.333	-4.078	-0.208
1680.500	-3.783	-0.103
1680.667	-3.974	-0.117
1680.833	-4.006	-0.041
1681.000	-4.032	0.031
1681.167	-4.052	0.012
1681.333	-3.781	0.089
1681.500	-3.637	0.043
1681.667	-3.980	-0.123
1681.833	-3.984	-0.019
1682.000	-4.271	-0.208
1682.167	-4.013	0.051
1682.333	-3.825	0.046
1682.500	-3.652	0.028
1682.667	-4.004	-0.147
1682.833	-4.024	-0.059
1683.000	-3.976	0.087
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