paleo data:
  measurement table:
    google work sheet key: ockv07x
    table name: paleo1measurement1
    missing value: NaN
    d2 h:
      description: terrestrial biomarker
      has chron: 1
      has max value: -170
      has mean value: -184.8347
      has median value: -186
      has min value: -194
      has paleo depth: 1
      inferred material: soil water
      inferred material group: soil water
      inferred material group original: soil water
      instrument: "We used a Thermo Scientificdegrees Trace gas chromato graph equipped with an Rxi5ms column (30 m degrees 0.25 mm, film thickness 1 permilm) and a programmable temperature va porizing (PTV) injector operated in solvent split mode with an evaporation temperature of 60 permil C. The GC was con nected via a GC Isolink with pyrolysis/combustion furnace (at 1400/1000 permilC) and a Conflo IV interface to a DeltaVPlus isotope ratio mass spectrometer. The H+3 factor (Sessions et al., 2001) was determined daily to test measurement linearity of the system and accounted for 5.8 ppm mvpermil1 on average. Reference peaks of H2 bracket nalkanoic acid peaks during the course of a GCIRMS run; two of these peaks were used for the standardization of the isotopic analysis, while the remainders were treated as unknowns to assess pre cision. Except for the case of coelution, precision of these replicates was better than 0.6 permil."
      iso2k certification: ET
      iso2k primary timeseries: TRUE
      iso2k UI: LS15AIKA01
      is primary: false
      long name: stdev C24
      measurement material: n-alkanoic acid
      measurement material detail: C28
      measurement standard: VSMOW
      measurement table name: measurementTable1
      median res12k: NA
      notes: ; archiveType changed was originally Lake sediment (LS)
      paleo data table name: s1
      QC certification: ET
      t sid: LS15AIKA01B
      uncertainty analytical: 5 permil
      units: permil
      variable name: d2H
      variable name original: dD
      variable type: measured
      primary age column: false
      has time tsid: MAT3be8633483
      values: -180
      values: -187
      values: -192
      values: -190
      values: -194
      values: -189
      values: -185
      values: -186
      values: -191
      values: -188
      values: -183
      values: NaN
      values: -181
      values: -184
      values: -182
      values: -193
      values: -178
      values: -173
      values: -176
      values: -179
      values: -170
      values: -171
      values: -175
      values: -174
      values: -177
      interpretation:
        basis: Since temperature and precipitation amounts are anticor- related on an interannual timescale (Fig. 5), we interpret low ?D values to indicate both relatively cool and wet conditions. In addition to fluctuations in mean annual precipitation iso- topes, snowmelt and delivery to plants may vary. We suggest that a high proportional contribution of water derived from snowmelt, after relatively long and wet winters with high amounts of snowfall, can further lead to more negative ?D leaf wax values.
        direction: Temp: increase, Precipitation: decrease
        interp direction: Temp: increase, Precipitation: decrease
        scope: climate
        seasonality: Growing Season
        variable: temperature
        variable detail: air@surface
        variable detail original: air
        variable group: Temperature and Precipitation amount
      interpretation:
        scope: climate
      interpretation:
        scope: climate
      interpretation:
        basis: Higher isotopic values in the summer compared to the winter (Yao et al., 2013; Bowen and Revenaugh, 2003) suggest that monthly values are indeed driven by temperature. If these seasonal controls also determine interannual variations in the isotopic composition of precipitation then temperature is likely to be a major factor explaining the reconstructed hydrogen isotopic variability. A higher percentage of growing season rainfall (relative to total water used by plants) would result in higher deltaD values.
        direction: positive
        inferred material: soil water
        mathematical relation: linear
        rank: 1
        scope: isotope
        seasonality: Annual
        seasonality original: Annual
        variable: precipitationIsotope
        variable group: P_isotope
        variable group direction: positive
        coefficient: NA
        fraction: NA
      interpretation:
        basis: Higher isotopic values in the summer compared to the winter (Yao et al., 2013; Bowen and Revenaugh, 2003) suggest that monthly values are indeed driven by temperature. If these seasonal controls also determine interannual variations in the isotopic composition of precipitation then temperature is likely to be a major factor explaining the reconstructed hydrogen isotopic variability. A higher percentage of winter snowmelt (relative to total water used by plants) would result in lower deltaD values.
        direction: negative
        inferred material: soil water
        mathematical relation: linear
        rank: 2
        scope: isotope
        seasonality: Winter
        variable: precipitation
        variable group: winter snow melting during growing season
        coefficient: NA
        fraction: NA
      interpretation:
        basis: This amount effect lowers the summer precipitation isotopic com- position, dampens the seasonality of the mean precipitation of isotopic values and lowers the integrated annual precip- itation isotopic composition. Hence, in drier years average ?D values will be D-enriched relative to wetter years, and likewise warmer years will be D-enriched relative to colder years (Fig. 4b). Given the low precipitation amounts in this arid region today, the amount effect is likely to remain sec-ondary to the temperature controls on isotopic composition apparent in the seasonal cycle.
        direction: negative
        inferred material: soil water
        mathematical relation: linear
        rank: 3
        scope: isotope
        seasonality: Summer
        variable: precipitation
        variable group: EffectiveMoisture
        variable group direction: negative
        variable group original: precipitation amount
        coefficient: NA
        fraction: NA
      has resolution:
        has max value: 163
        has mean value: 33.75
        has median value: 30
        has min value: 0
        units: AD
      in compilation beta:
        compilation name: iso2k
        compilation version: 0_14_8
        compilation version: 0_15_0
        compilation version: 1_0_0
        compilation version: 1_1_0
        compilation version: 1_1_1
    year:
      data type: float
      description: Year AD
      has max value: 1982
      has mean value: -25.728
      has median value: 98
      has min value: -2199
      inferred variable type: year
      iso2k primary timeseries: FALSE
      is primary: true
      long name: stdev C24
      measurement table name: measurementTable1
      median res12k: NA
      paleo data table name: s1
      t sid: MAT3be8633483
      units: yr AD
      units original: CE
      variable name: year
      variable type: inferred
      primary age column: true
      has time tsid: MAT3be8633483
      values: -32
      values: -3
      values: 72
      values: 203
      values: 249
      values: 279
      values: 319
      values: 355
      values: 409
      values: 443
      values: 478
      values: 510
      values: 555
      values: 599
      values: 639
      values: 659
      values: 699
      values: 729
      values: 760
      values: 771
      values: 794
      values: 827
      values: 873
      values: 914
      values: 973
      values: 1003
      values: 1016
      values: 1029
      values: 1067
      values: 1114
      values: 1166
      values: 1213
      values: 1251
      values: 1279
      values: 1296
      values: 1314
      values: 1343
      values: 1341
      values: 1364
      values: 1399
      values: 1429
      values: 1464
      values: 1500
      values: 1518
      values: 1558
      values: 1588
      values: 1622
      values: 1675
      values: 1706
      values: 1722
      values: 1729
      values: 1734
      values: 1757
      values: 1764
      values: 1780
      values: 1801
      values: 1829
      values: 1834
      values: 1852
      values: 1898
archive type: LakeSediment
archive type original: lake sediment
created by: matlab
data contributor: NEED TO ENTER METADATA
dataset id: sRxx5jmG6LPanUEN2hLr
data set name: LS15AIKA
dataset version: 1.0.5
google data URL: https://docs.google.com/spreadsheets/d/1BgyhPq2AMQy7t0FuRWErkBzv1PXkWBfJtAvRdkxjBM
google metadata worksheet: o5vwetw
has chron: 0
has depth: 1
has paleo depth: 1
lipdverse link: https://lipdverse.org/data/sRxx5jmG6LPanUEN2hLr/1_0_5
max year: 4148
min year: -32
notes: C26 nalkanoic acids
n unique ages: 0
n unique good ages: 0
n unique other ages: 0
original data url: https://www.ncdc.noaa.gov/paleo/study/20166
lipd version: 1.3
pub: Highresolution leaf wax carbon and hydrogen isotopic record of the late Holocene paleoclimate in arid Central Asia

rank: NA
scope: climate

has max value: 163
has mean value: 33.75
has median value: 30
has min value: 0
units: AD

rank: NA
scope: climate

has max value: 163
has mean value: 33.75
has median value: 30
has min value: 0
units: AD

data type: float
description: depth
has max value: 819
has mean value: 411.16
has median value: 417
has min value: 2
iso2k primary timeseries: FALSE
is primary: false
long name: stdev C24
measurement table name: measurementTable1
median res12k: NA
paleo data table name: s1
t sid: MATa27c44c8f8
units: cm
variable name: depth
variable type: measured
primary age column: false
has time tsid: MAT3be8633483
values: 2
values: 5
values: 13
values: 21
values: 29
values: 37
values: 45
values: 53
values: 61
values: 70
values: 77
values: 85
values: 93
values: 101
values: 109
values: 117
values: 125
values: 133
values: 141
values: 145
values: 149
values: 157
values: 165
values: 173
values: 181
values: 189
values: 197
values: 205
values: 213
values: 222
values: 229
values: 237
values: 245
values: 253
values: 261
values: 263
values: 271
values: 268
values: 277
values: 285
values: 293
values: 301
values: 309
values: 317
values: 325
values: 333
values: 349
values: 357
values: 367
values: 373
values: 376
values: 381
values: 389
values: 391
values: 397
values: 399
values: 405
values: 409
values: 417
values: 425
values: 433
values: 441

description: terrestrial biomarker
has chron: 1
has max value: -167
has mean value: -182.8547
has median value: -183
has min value: -196
has paleo depth: 1
inferred material: soil water
inferred material group: soil water
inferred material group original: soil water
iso2k certification: ET
iso2k hackathon notes: Invalid variable name ET:duplicate of LS15AIKAB?
iso2k primary timeseries: TRUE
iso2k UI: LS15AIKA01
is primary: false
long name: stdev C24
measurement material: n-alkanoic acid
measurement material detail: C26
measurement table name: measurementTable1
median res12k: NA
notes: ; archiveType changed was originally Lake sediment (LS)
paleo data table name: s1
QC certification: ET
q cnotes: Invalid variable name ET:duplicate of LS15AIKAB?
t sid: LS15AIKA01A2
variable name: d2H
variable name original: dD
primary age column: false
has time tsid: MAT3be8633483
values: -175
values: -191
values: -184
values: -192
values: -187
values: -189
values: -186
values: -185
values: -180
values: -183
values: -178
values: -177
values: -179
values: -190
values: -181
values: -195
values: -182
values: -176
values: -188
values: -173
values: NaN
values: -193
values: -174
values: -196
values: -172
values: -171
values: -167
values: -170
interpretation:
  basis: Since temperature and precipitation amounts are anticor- related on an interannual timescale (Fig. 5), we interpret low ?D values to indicate both relatively cool and wet conditions. In addition to fluctuations in mean annual precipitation iso- topes, snowmelt and delivery to plants may vary. We suggest that a high proportional contribution of water derived from snowmelt, after relatively long and wet winters with high amounts of snowfall, can further lead to more negative ?D leaf wax values.
  direction: Temp: increase, Precipitation: decrease
  scope: climate
  seasonality: Growing Season
  variable: temperature
  variable detail: air@surface
  variable detail original: air
  variable group: Temperature and Precipitation amount
interpretation:
  scope: climate
interpretation:
  scope: climate
interpretation:
  basis: Higher isotopic values in the summer compared to the winter (Yao et al., 2013; Bowen and Revenaugh, 2003) suggest that monthly values are indeed driven by temperature. If these seasonal controls also determine interannual variations in the isotopic composition of precipitation then temperature is likely to be a major factor explaining the reconstructed hydrogen isotopic variability. A higher percentage of growing season rainfall (relative to total water used by plants) would result in higher deltaD values.
  direction: positive
  mathematical relation: linear
  rank: 1
  scope: isotope
  seasonality: Annual
  seasonality original: Annual
  variable: precipitationIsotope
  variable group: P_isotope
  variable group direction: positive
  coefficient: NA
  fraction: NA
interpretation:
  basis: Higher isotopic values in the summer compared to the winter (Yao et al., 2013; Bowen and Revenaugh, 2003) suggest that monthly values are indeed driven by temperature. If these seasonal controls also determine interannual variations in the isotopic composition of precipitation then temperature is likely to be a major factor explaining the reconstructed hydrogen isotopic variability. A higher percentage of winter snowmelt (relative to total water used by plants) would result in lower deltaD values.
  direction: negative
  mathematical relation: linear
  rank: 2
  scope: isotope
  seasonality: Winter
  variable: precipitation
  variable group: winter snow melting during growing season
  coefficient: NA
  fraction: NA
interpretation:
  basis: This amount effect lowers the summer precipitation isotopic com- position, dampens the seasonality of the mean precipitation of isotopic values and lowers the integrated annual precip- itation isotopic composition. Hence, in drier years average ?D values will be D-enriched relative to wetter years, and likewise warmer years will be D-enriched relative to colder years (Fig. 4b). Given the low precipitation amounts in this arid region today, the amount effect is likely to remain sec-ondary to the temperature controls on isotopic composition apparent in the seasonal cycle.
  direction: negative
  mathematical relation: linear
  rank: 3
  scope: isotope
  seasonality: Summer
  variable: precipitation
  variable group: EffectiveMoisture
  variable group direction: negative
  variable group original: precipitation amount
  coefficient: NA
  fraction: NA
has resolution:
  has max value: 163
  has mean value: 33.75
  has median value: 30
  has min value: 0
  units: AD
in compilation beta:
  compilation name: iso2k
  compilation version: 0_14_8
  compilation version: 0_15_0
  compilation version: 1_0_0
  compilation version: 1_1_0
  compilation version: 1_1_1

description: stdev of d2H measurements
has chron: 1
has max value: 7
has mean value: 2.1316
has median value: 2
has min value: 0
has paleo depth: 1
iso2k hackathon notes: Invalid variable name. Check that TSid is valid
iso2k primary timeseries: FALSE
is primary: false
long name: stdev C24
measurement material: C24
measurement table name: measurementTable1
median res12k: NA
notes: ; archiveType changed was originally Lake sediment (LS)
paleo data table name: s1
QC certification: ET
summary statistic: 1 sigma
t sid: NPM147147
units: permil
variable name: uncertainty1s
primary age column: false
has time tsid: MAT3be8633483
values: 2
values: 1
values: 3
values: 6
values: 0
values: 4
values: 7
values: 5
values: NaN
interpretation:
  rank: NA
  scope: climate
interpretation:
  scope: climate
interpretation:
  scope: climate
interpretation:
  scope: isotope
  coefficient: NA
  fraction: NA
  rank: NA
interpretation:
  scope: isotope
  coefficient: NA
  fraction: NA
  rank: NA
interpretation:
  scope: isotope
  coefficient: NA
  fraction: NA
  rank: NA
has resolution:
  has max value: 163
  has mean value: 33.75
  has median value: 30
  has min value: 0
  units: AD

description: stdev of d2H measurements
has chron: 1
has max value: 6
has mean value: 2.487
has median value: 2
has min value: 0
has paleo depth: 1
iso2k hackathon notes: Invalid variable name. Check that TSid is valid
iso2k primary timeseries: FALSE
is primary: false
long name: stdev C24
measurement material: C26
measurement table name: measurementTable1
median res12k: NA
notes: ; archiveType changed was originally Lake sediment (LS)
paleo data table name: s1
QC certification: ET
summary statistic: 1 sigma
t sid: NPM147147a
units: permil
variable name: uncertainty1s
primary age column: false
has time tsid: MAT3be8633483
values: 4
values: 2
values: 1
values: 3
values: 6
values: 5
values: 0
values: NaN
interpretation:
  rank: NA
  scope: climate
interpretation:
  scope: climate
interpretation:
  scope: climate
interpretation:
  scope: isotope
  coefficient: NA
  fraction: NA
  rank: NA
interpretation:
  scope: isotope
  coefficient: NA
  fraction: NA
  rank: NA
interpretation:
  scope: isotope
  coefficient: NA
  fraction: NA
  rank: NA
has resolution:
  has max value: 163
  has mean value: 33.75
  has median value: 30
  has min value: 0
  units: AD

description: stdev of d2H measurements
has chron: 1
has max value: 7
has mean value: 2.4118
has median value: 2
has min value: 0
has paleo depth: 1
iso2k hackathon notes: Invalid variable name. Check that TSid is valid
iso2k primary timeseries: FALSE
is primary: false
long name: stdev C24
measurement material: C28
measurement table name: measurementTable1
median res12k: NA
notes: ; archiveType changed was originally Lake sediment (LS)
paleo data table name: s1
QC certification: ET
summary statistic: 1 sigma
t sid: NPM147147b
units: permil
variable name: uncertainty1s
primary age column: false
has time tsid: MAT3be8633483
values: 6
values: 2
values: 1
values: 5
values: 3
values: 4
values: NaN
values: 0
values: 7
interpretation:
  rank: NA
  scope: climate
interpretation:
  scope: climate
interpretation:
  scope: climate
interpretation:
  scope: isotope
  coefficient: NA
  fraction: NA
  rank: NA
interpretation:
  scope: isotope
  coefficient: NA
  fraction: NA
  rank: NA
interpretation:
  scope: isotope
  coefficient: NA
  fraction: NA
  rank: NA
has resolution:
  has max value: 163
  has mean value: 33.75
  has median value: 30
  has min value: 0
  units: AD

description: mean of long chain compound d2H
has chron: 1
has max value: -170
has mean value: -183.72
has median value: -184
has min value: -195
has paleo depth: 1
iso2k hackathon notes: Invalid variable name. Check that TSid is valid
iso2k primary timeseries: FALSE
is primary: false
long name: stdev C24
measurement table name: measurementTable1
median res12k: NA
notes: ; archiveType changed was originally Lake sediment (LS)
paleo data table name: s1
QC certification: ET
summary statistic: average
t sid: NPM147147c
units: permil
variable name: deleteThisColumn
primary age column: false
has time tsid: MAT3be8633483
values: -178
values: -181
values: -192
values: -187
values: -193
values: -188
values: -185
values: -186
values: -190
values: -184
values: -183
values: -182
values: -191
values: -180
values: -189
values: -194
values: -177
values: -179
values: -195
values: -176
values: -173
values: -174
values: -170
values: -171
values: -172
interpretation:
  rank: NA
  scope: climate
interpretation:
  scope: climate
interpretation:
  scope: climate
interpretation:
  coefficient: NA
  fraction: NA
  rank: NA
  scope: isotope
interpretation:
  coefficient: NA
  fraction: NA
  rank: NA
  scope: isotope
interpretation:
  coefficient: NA
  fraction: NA
  rank: NA
  scope: isotope
has resolution:
  has max value: 163
  has mean value: 33.75
  has median value: 30
  has min value: 0
  units: AD

description: mean of long chain compound d2H
has chron: 1
has max value: 8
has mean value: 3.5691
has median value: 3
has min value: 0
has paleo depth: 1
iso2k hackathon notes: Invalid variable name. Check that TSid is valid
iso2k primary timeseries: FALSE
is primary: false
long name: stdev C24
measurement table name: measurementTable1
median res12k: NA
notes: ; archiveType changed was originally Lake sediment (LS)
paleo data table name: s1
QC certification: ET
summary statistic: 1 sigma
t sid: NPM147147d
units: permil
variable name: uncertainty1s
primary age column: false
has time tsid: MAT3be8633483
values: 7
values: 3
values: 1
values: 6
values: 5
values: 4
values: 2
values: NaN
values: 0
values: 8
interpretation:
  rank: NA
  scope: climate
interpretation:
  scope: climate
interpretation:
  scope: climate
interpretation:
  coefficient: NA
  fraction: NA
  rank: NA
  scope: isotope
interpretation:
  coefficient: NA
  fraction: NA
  rank: NA
  scope: isotope
interpretation:
  coefficient: NA
  fraction: NA
  rank: NA
  scope: isotope
has resolution:
  has max value: 163
  has mean value: 33.75
  has median value: 30
  has min value: 0
  units: AD

description: terrestrial biomarker
has max value: -155
has mean value: -173.25
has median value: -173
has min value: -187
iso2k primary timeseries: ?
is primary: false
long name: stdev C24
measurement material: nalkanoic acid
measurement material detail: C26
measurement table name: measurementTable1
median res12k: NA
notes: ; archiveType changed was originally Lake sediment (LS)
paleo data table name: s1
t sid: LS15AIKA01A1
variable name: d2H
variable name original: dD
primary age column: false
has time tsid: MAT3be8633483
values: -164
values: -177
values: -168
values: -171
values: -185
values: -172
values: -175
values: -169
values: -179
values: -167
values: -181
values: -170
values: -173
values: -180
values: NaN
values: -178
values: -182
values: -187
values: -166
values: -165
values: -174
values: -183
values: -162
values: -176
values: -155
values: -160
interpretation:
  rank: NA
  scope: climate
interpretation:
  scope: climate
interpretation:
  scope: climate
interpretation:
  scope: isotope
  coefficient: NA
  fraction: NA
  rank: NA
interpretation:
  scope: isotope
  coefficient: NA
  fraction: NA
  rank: NA
interpretation:
  scope: isotope
  coefficient: NA
  fraction: NA
  rank: NA
has resolution:
  has max value: 163
  has mean value: 33.75
  has median value: 30
  has min value: 0
  units: AD
in compilation beta:
  compilation name: iso2k
  compilation version: 0_14_8
  compilation version: 0_15_0
  compilation version: 1_0_0
  compilation version: 1_1_0
  compilation version: 1_1_1

measurement table:
  google work sheet key: osdano7
  table name: chron1measurement1
  missing value: NaN
  depth:
    measurement table name: measurementTable1
    t sid: chron1
    variable name: depth
    description: midpoint depth
    units: cm
    chron number: 1
    table number: 1
    table type: measurement
    has max value: 782
    has min value: 20
    has mean value: 371.4118
    has median value: 294
    number: 1
    values: 20
    values: 90
    values: 124
    values: 126
    values: 146
    values: 186
    values: 208
    values: 246
    values: 294
    values: 362
    values: 440
    values: 570
    values: 626
    values: 634
    values: 714
    values: 746
    values: 782
  age14 c:
    measurement table name: measurementTable1
    t sid: chron2
    variable name: age14C
    description: 14C years before 1950
    units: yr14C BP
    chron number: 1
    table number: 1
    table type: measurement
    has max value: 5620
    has min value: 1959
    has mean value: 3708
    has median value: 3580
    number: 2
    values: 1959
    values: 2534
    values: 2720
    values: 2764
    values: 2718
    values: 3112
    values: 2910
    values: 3641
    values: 3410
    values: 3580
    values: 3650
    values: 4360
    values: 4636
    values: 4720
    values: 5270
    values: 5432
    values: 5620
  SD:
    measurement table name: measurementTable1
    t sid: chron3
    variable name: SD
    description: 14C years uncertainty
    units: yr14C BP
    chron number: 1
    table number: 1
    table type: measurement
    has max value: 51
    has min value: 23
    has mean value: 40.7647
    has median value: 40
    variable name original: age14Cuncertainty
    number: 3
    values: 41
    values: 42
    values: 40
    values: 43
    values: 44
    values: 46
    values: 51
    values: 23
  fraction modern:
    measurement table name: measurementTable1
    t sid: chron4
    variable name: fractionModern
    description: fraction of modern 14C activity
    chron number: 1
    table number: 1
    table type: measurement
    has max value: _NaN_
    has min value: _NaN_
    has mean value: _NaN_
    has median value: _NaN_
    number: 4
    values: NaN
  fraction modern uncertainty:
    measurement table name: measurementTable1
    t sid: chron5
    variable name: fractionModernUncertainty
    description: fraction of modern 14C activity uncertainty
    chron number: 1
    table number: 1
    table type: measurement
    has max value: _NaN_
    has min value: _NaN_
    has mean value: _NaN_
    has median value: _NaN_
    number: 5
    values: NaN
  delta13 c:
    measurement table name: measurementTable1
    t sid: chron6
    variable name: delta13C
    description: delta13C of material analyzed for 14C
    units: permil
    chron number: 1
    table number: 1
    table type: measurement
    has max value: _NaN_
    has min value: _NaN_
    has mean value: _NaN_
    has median value: _NaN_
    number: 6
    values: NaN
  delta13 cuncertainty:
    measurement table name: measurementTable1
    t sid: chron7
    variable name: delta13Cuncertainty
    description: delta13C uncertainty
    units: permil
    chron number: 1
    table number: 1
    table type: measurement
    has max value: _NaN_
    has min value: _NaN_
    has mean value: _NaN_
    has median value: _NaN_
    number: 7
    values: NaN
  thickness:
    measurement table name: measurementTable1
    t sid: chron8
    variable name: thickness
    description: thickness of sample (along depth axis)
    units: cm
    chron number: 1
    table number: 1
    table type: measurement
    has max value: _NaN_
    has min value: _NaN_
    has mean value: _NaN_
    has median value: _NaN_
    number: 8
    values: NaN
  lab ID:
    measurement table name: measurementTable1
    t sid: chron9
    variable name: labID
    description: laboratory ID from radiocarbon facility
    chron number: 1
    table number: 1
    table type: measurement
    number: 9
    values: NZA-50671
    values: NZA-50673
    values: Beta-284552
    values: NZA-50675
    values: NZA-50676
    values: NZA-50677
    values: Beta-284553
    values: NZA-50679
    values: Beta-284554
    values: Beta-284555
    values: Beta-284556
    values: Beta-284557
    values: NZA-50680
    values: Beta-284558
    values: Beta-284559
    values: NZA-50890
    values: Beta-284560
  material dated:
    measurement table name: measurementTable1
    t sid: chron10
    variable name: materialDated
    description: material analyzed
    chron number: 1
    table number: 1
    table type: measurement
    has max value: _NaN_
    has min value: _NaN_
    has mean value: _NaN_
    has median value: _NaN_
    number: 10
    values: NaN

measurement table name: measurementTable1
t sid: chron11
variable name: activity
description: 210Pb, 239+240Pu or 137Cs activity
units: Bq g1
chron number: 1
table number: 1
table type: measurement
has max value: _NaN_
has min value: _NaN_
has mean value: _NaN_
has median value: _NaN_
number: 11
values: NaN

measurement table name: measurementTable1
t sid: chron12
variable name: activityUncertainty
description: 210Pb, 239+240Pu or 137Cs activity uncertainty
units: Bq g1
chron number: 1
table number: 1
table type: measurement
has max value: _NaN_
has min value: _NaN_
has mean value: _NaN_
has median value: _NaN_
number: 12
values: NaN

measurement table name: measurementTable1
t sid: chron13
variable name: supportedActivity
description: Y if supported 210Pb activity, N if unsupported 210Pb activity
chron number: 1
table number: 1
table type: measurement
has max value: _NaN_
has min value: _NaN_
has mean value: _NaN_
has median value: _NaN_
number: 13
values: NaN

measurement table name: measurementTable1
t sid: chron14
variable name: x210PbModel
description: model used to convert 210Pb activity to age (e.g., constant rate of supply)
chron number: 1
table number: 1
table type: measurement
has max value: _NaN_
has min value: _NaN_
has mean value: _NaN_
has median value: _NaN_
number: 14
values: NaN

measurement table name: measurementTable1
t sid: chron15
variable name: age
description: years before 1950 (calibrated age, or ages that dont need calibration)
units: yr BP
chron number: 1
table number: 1
table type: measurement
has max value: _NaN_
has min value: _NaN_
has mean value: _NaN_
has median value: _NaN_
number: 15
values: NaN

measurement table name: measurementTable1
t sid: chron16
variable name: SD
description: uncertainty in age
units: yr BP
chron number: 1
table number: 1
table type: measurement
has max value: _NaN_
has min value: _NaN_
has mean value: _NaN_
has median value: _NaN_
variable name original: ageUncertainty
number: 16
values: NaN

measurement table name: measurementTable1
t sid: chron17
variable name: reservoirAge14C
description: 14C reservoir age
units: yr14C BP
chron number: 1
table number: 1
table type: measurement
has max value: 1880
has min value: 1880
has mean value: 1880
has median value: 1880
number: 17
values: 1880

measurement table name: measurementTable1
t sid: chron18
variable name: reservoirAge14CUncertainty
description: 14C reservoir age uncertainty
units: yr14C BP
chron number: 1
table number: 1
table type: measurement
has max value: _NaN_
has min value: _NaN_
has mean value: _NaN_
has median value: _NaN_
number: 18
values: NaN

measurement table name: measurementTable1
t sid: chron19
variable name: useInAgeModel
description: was this date used in the age modelpermil
chron number: 1
table number: 1
table type: measurement
number: 19
values: Y

input table:
  id: NZA-50671
  id: NZA-50673
  id: Beta-284552
  id: NZA-50675
  id: NZA-50676
  id: NZA-50677
  id: Beta-284553
  id: NZA-50679
  id: Beta-284554
  id: Beta-284555
  id: Beta-284556
  id: Beta-284557
  id: NZA-50680
  id: Beta-284558
  id: Beta-284559
  id: NZA-50890
  id: Beta-284560
  age: 1959
  age: 2534
  age: 2720
  age: 2764
  age: 2718
  age: 3112
  age: 2910
  age: 3641
  age: 3410
  age: 3580
  age: 3650
  age: 4360
  age: 4636
  age: 4720
  age: 5270
  age: 5432
  age: 5620
  error: 41
  error: 42
  error: 40
  error: 43
  error: 44
  error: 46
  error: 51
  error: 23
  depth: 20
  depth: 90
  depth: 124
  depth: 126
  depth: 146
  depth: 186
  depth: 208
  depth: 246
  depth: 294
  depth: 362
  depth: 440
  depth: 570
  depth: 626
  depth: 634
  depth: 714
  depth: 746
  depth: 782
  cc: 1
  d r: 1880
  d STD: 0
  ta: 3
  tb: 4
methods:
  parameters:
    d.min: 20
    d.max: 782
    d.by: 5
    depths.file: 0
    acc.mean: 5
    acc.shape: 1.5
    mem.mean: 0.5
    mem.strength: 10
    boundary: NA
    hiatus.depths: NA
    hiatus.max: 10000
    BCAD: 1
    cc: 1
    postbomb: 0
    cc1: IntCal20
    cc2: Marine20
    cc3: SHCal20
    cc4: ConstCal
    depth.unit: cm
    normal: 0
    t.a: 3
    t.b: 4
    delta.r: 0
    d.std: 0
    prob: 0.95
    age.unit: yr
  algorithm: bacon
  version: 2.3
summary table:
  table name: chron1model1measurement1
  depth:
    variable name: depth
    units: cm
    description: modeled depth
    number: 1
    values: 20
    values: 25
    values: 30
    values: 35
    values: 40
    values: 45
    values: 50
    values: 55
    values: 60
    values: 65
    values: 70
    values: 75
    values: 80
    values: 85
    values: 90
    values: 95
    values: 100
    values: 105
    values: 110
    values: 115
    values: 120
    values: 125
    values: 130
    values: 135
    values: 140
    values: 145
    values: 150
    values: 155
    values: 160
    values: 165
    values: 170
    values: 175
    values: 180
    values: 185
    values: 190
    values: 195
    values: 200
    values: 205
    values: 210
    values: 215
    values: 220
    values: 225
    values: 230
    values: 235
    values: 240
    values: 245
    values: 250
    values: 255
    values: 260
    values: 265
    values: 270
    values: 275
    values: 280
    values: 285
    values: 290
    values: 295
    values: 300
    values: 305
    values: 310
    values: 315
    values: 320
    values: 325
    values: 330
    values: 335
    values: 340
    values: 345
    values: 350
    values: 355
    values: 360
    values: 365
    values: 370
    values: 375
    values: 380
    values: 385
    values: 390
    values: 395
  age.range low:
    variable name: age.rangeLow
    units: yr BP
    description: low end of the uncertainty range
    uncertainty level: 2.5%
    number: 2
    values: 1673
    values: 1634
    values: 1591
    values: 1548
    values: 1520
    values: 1489
    values: 1458
    values: 1434
    values: 1407
    values: 1386
    values: 1366
    values: 1343
    values: 1325
    values: 1308
    values: 1289
    values: 1266
    values: 1245
    values: 1220
    values: 1203
    values: 1186
    values: 1170
    values: 1154
    values: 1127
    values: 1091
    values: 1073
    values: 1052
    values: 1014
    values: 984
    values: 956
    values: 924
    values: 902
    values: 877
    values: 849
    values: 828
    values: 807
    values: 786
    values: 764
    values: 742
    values: 720
    values: 699
    values: 673
    values: 648
    values: 623
    values: 597
    values: 569
    values: 550
    values: 533
    values: 523
    values: 511
    values: 500
    values: 487
    values: 476
    values: 463
    values: 454
    values: 442
    values: 431
    values: 414
    values: 397
    values: 381
    values: 366
    values: 351
    values: 337
    values: 322
    values: 308
    values: 294
    values: 283
    values: 271
    values: 257
    values: 246
    values: 226
    values: 192
    values: 169
    values: 146
    values: 121
    values: 99

variable name: age.rangeHigh
units: yr BP
description: high end of the uncertainty range
uncertainty level: 97.5%
number: 3
values: 1897
values: 1870
values: 1841
values: 1815
values: 1778
values: 1749
values: 1718
values: 1687
values: 1657
values: 1621
values: 1579
values: 1540
values: 1499
values: 1444
values: 1407
values: 1390
values: 1372
values: 1355
values: 1336
values: 1309
values: 1286
values: 1260
values: 1245
values: 1234
values: 1220
values: 1203
values: 1189
values: 1170
values: 1152
values: 1136
values: 1112
values: 1083
values: 1060
values: 1029
values: 1011
values: 1001
values: 986
values: 971
values: 957
values: 938
values: 920
values: 901
values: 881
values: 860
values: 842
values: 824
values: 805
values: 790
values: 769
values: 750
values: 729
values: 708
values: 689
values: 668
values: 645
values: 627
values: 613
values: 596
values: 583
values: 567
values: 553
values: 540
values: 522
values: 506
values: 492
values: 476
values: 457
values: 441
values: 420
values: 404
values: 393
values: 379
values: 367
values: 354
values: 341

variable name: age
units: yr BP
description: weighted mean age estimate
number: 4
values: 1751
values: 1723
values: 1694
values: 1663
values: 1634
values: 1605
values: 1577
values: 1550
values: 1523
values: 1494
values: 1466
values: 1438
values: 1410
values: 1383
values: 1357
values: 1334
values: 1313
values: 1291
values: 1270
values: 1248
values: 1227
values: 1206
values: 1186
values: 1167
values: 1148
values: 1127
values: 1106
values: 1082
values: 1059
values: 1035
values: 1011
values: 987
values: 963
values: 941
values: 922
values: 906
values: 892
values: 876
values: 859
values: 836
values: 813
values: 790
values: 766
values: 743
values: 720
values: 699
values: 681
values: 665
values: 649
values: 632
values: 616
values: 599
values: 583
values: 567
values: 550
values: 534
values: 518
values: 503
values: 488
values: 472
values: 457
values: 441
values: 426
values: 411
values: 395
values: 380
values: 364
values: 349
values: 333
values: 316
values: 298
values: 280
values: 263
values: 246
values: 229
values: 211

depth: 20
depth.units: cm
table name: chron1model1distribution1
age:
  units: yr BP
  variable name: age
  number: 1
  values: 0
  values: 1
  values: 2
  values: 3
  values: 4
  values: 5
  values: 6
  values: 7
  values: 8
  values: 9
  values: 10
  values: 11
  values: 12
  values: 13
  values: 14
  values: 15
  values: 16
  values: 17
  values: 18
  values: 19
  values: 20
  values: 21
  values: 22
  values: 23
  values: 24
  values: 25
  values: 26
  values: 27
  values: 28
  values: 29
  values: 30
  values: 31
  values: 32
  values: 33
  values: 34
  values: 35
  values: 36
  values: 37
  values: 38
  values: 39
  values: 40
  values: 41
  values: 42
  values: 43
  values: 44
  values: 45
  values: 46
  values: 47
  values: 48
  values: 49
  values: 50
  values: 51
  values: 52
  values: 53
  values: 54
  values: 55
  values: 56
  values: 57
  values: 58
  values: 59
  values: 60
  values: 61
  values: 62
  values: 63
  values: 64
  values: 65
  values: 66
  values: 67
  values: 68
  values: 69
  values: 70
  values: 71
  values: 72
  values: 73
  values: 74
  values: 75
  values: 76
probability density:
  variable name: probabilityDensity
  number: 2
  values: 0.0006
  values: 0.0007
  values: 0.0008
  values: 0.0009
  values: 0.001
  values: 0.0011
  values: 0.0012
  values: 0.0013
  values: 0.0015
  values: 0.0017
  values: 0.0018
  values: 0.0019
  values: 0.0022
  values: 0.0023
  values: 0.0026
  values: 0.0028
  values: 0.003
  values: 0.0032
  values: 0.0033
  values: 0.0035
  values: 0.0037
  values: 0.0039
  values: 0.0042
  values: 0.0044
  values: 0.0047
  values: 0.0049
  values: 0.005
  values: 0.0051
  values: 0.0053
  values: 0.0056
  values: 0.0058
  values: 0.0062
  values: 0.0064
  values: 0.0067
  values: 0.0068
  values: 0.0069
  values: 0.0066
  values: 0.0065
  values: 0.0061
  values: 0.0054
  values: 0.0052
  values: 0.0055
  values: 0.0045
  values: 0.0043
  values: 0.0041
  values: 0.0046
  values: 0.0057
  values: 0.006
  values: 0.0063
  values: 0.0038
  values: 0.0029
  values: 0.0025
  values: 0.0021
  values: 0.002
  values: 0.0016
  values: 0.0014
  values: 0.0005
  values: 0.0004
  values: 0.0003
  values: 0.004
  values: 0.0048
  values: 0.0036
  values: 0.0034
  values: 0.0027
  values: 0.0002
  values: 0.0001

depth: 90
depth.units: cm
table name: chron1model1distribution2
age:
  units: yr BP
  variable name: age
  number: 1
  values: 507
  values: 508
  values: 509
  values: 510
  values: 511
  values: 512
  values: 513
  values: 514
  values: 515
  values: 516
  values: 517
  values: 518
  values: 519
  values: 520
  values: 521
  values: 522
  values: 523
  values: 524
  values: 525
  values: 526
  values: 527
  values: 528
  values: 529
  values: 530
  values: 531
  values: 532
  values: 533
  values: 534
  values: 535
  values: 536
  values: 537
  values: 538
  values: 539
  values: 540
  values: 541
  values: 542
  values: 543
  values: 544
  values: 545
  values: 546
  values: 547
  values: 548
  values: 549
  values: 550
  values: 551
  values: 552
  values: 553
  values: 554
  values: 555
  values: 556
  values: 557
  values: 558
  values: 559
  values: 560
  values: 561
  values: 562
  values: 563
  values: 564
  values: 565
  values: 566
  values: 567
  values: 568
  values: 569
  values: 570
  values: 571
  values: 572
  values: 573
  values: 574
  values: 575
  values: 576
  values: 577
  values: 578
  values: 579
  values: 580
  values: 581
  values: 582
  values: 583
probability density:
  variable name: probabilityDensity
  number: 2
  values: 0.0001
  values: 0.0002
  values: 0.0003
  values: 0.0004
  values: 0.0005
  values: 0.0006
  values: 0.0007
  values: 0.0008
  values: 0.0009
  values: 0.001
  values: 0.0011
  values: 0.0013
  values: 0.0014
  values: 0.0016
  values: 0.0018
  values: 0.002
  values: 0.0022
  values: 0.0024
  values: 0.0025
  values: 0.0026
  values: 0.0028
  values: 0.0031
  values: 0.0034
  values: 0.0039
  values: 0.0045
  values: 0.0051
  values: 0.0057
  values: 0.0064
  values: 0.0071
  values: 0.0077
  values: 0.0083
  values: 0.0088
  values: 0.0093
  values: 0.0096
  values: 0.0098
  values: 0.0099
  values: 0.0101
  values: 0.0103
  values: 0.0105
  values: 0.0107
  values: 0.0108
  values: 0.0106
  values: 0.0102
  values: 0.01
  values: 0.0091
  values: 0.0087
  values: 0.0082
  values: 0.0079
  values: 0.0073
  values: 0.0067
  values: 0.0062
  values: 0.0052
  values: 0.0048
  values: 0.0047
  values: 0.0046
  values: 0.0044
  values: 0.0043
  values: 0.0042
  values: 0.0041
  values: 0.0038
  values: 0.0037
  values: 0.0036
  values: 0.004
  values: 0.0054
  values: 0.0059
  values: 0.0065
  values: 0.0076
  values: 0.0081
  values: 0.0084
  values: 0.0089
  values: 0.0092
  values: 0.0095
  values: 0.0104
  values: 0.0086
  values: 0.007
  values: 0.0053
  values: 0.0033
  values: 0.0027

depth: 124
depth.units: cm
table name: chron1model1distribution3
age:
  units: yr BP
  variable name: age
  number: 1
  values: 571
  values: 572
  values: 573
  values: 574
  values: 575
  values: 576
  values: 577
  values: 578
  values: 579
  values: 580
  values: 581
  values: 582
  values: 583
  values: 584
  values: 585
  values: 586
  values: 587
  values: 588
  values: 589
  values: 590
  values: 591
  values: 592
  values: 593
  values: 594
  values: 595
  values: 596
  values: 597
  values: 598
  values: 599
  values: 600
  values: 601
  values: 602
  values: 603
  values: 604
  values: 605
  values: 606
  values: 607
  values: 608
  values: 609
  values: 610
  values: 611
  values: 612
  values: 613
  values: 614
  values: 615
  values: 616
  values: 617
  values: 618
  values: 619
  values: 620
  values: 621
  values: 622
  values: 623
  values: 624
  values: 625
  values: 626
  values: 627
  values: 628
  values: 629
  values: 630
  values: 631
  values: 632
  values: 633
  values: 634
  values: 635
  values: 636
  values: 637
  values: 638
  values: 639
  values: 640
  values: 641
  values: 642
  values: 643
  values: 644
  values: 645
  values: 646
  values: 647
probability density:
  variable name: probabilityDensity
  number: 2
  values: 0.0001
  values: 0.0002
  values: 0
  values: 0.0003
  values: 0.0004
  values: 0.0005
  values: 0.0006
  values: 0.0007
  values: 0.0009
  values: 0.0011
  values: 0.0014
  values: 0.0017
  values: 0.0019
  values: 0.0022
  values: 0.0024
  values: 0.0026
  values: 0.0029
  values: 0.0031
  values: 0.0034
  values: 0.0037
  values: 0.0041
  values: 0.0044
  values: 0.0049
  values: 0.0052
  values: 0.0057
  values: 0.006
  values: 0.0063
  values: 0.0066
  values: 0.0069
  values: 0.007
  values: 0.0071
  values: 0.0072
  values: 0.0073
  values: 0.0075
  values: 0.0076
  values: 0.0077
  values: 0.0067
  values: 0.0065
  values: 0.0064
  values: 0.008
  values: 0.0083
  values: 0.0087
  values: 0.0091
  values: 0.0094
  values: 0.0097
  values: 0.0096
  values: 0.0093
  values: 0.009
  values: 0.0088
  values: 0.0086
  values: 0.0084
  values: 0.0082
  values: 0.0081
  values: 0.0079
  values: 0.0078
  values: 0.0085
  values: 0.0061
  values: 0.0059
  values: 0.0055
  values: 0.005
  values: 0.0047
  values: 0.004
  values: 0.003
  values: 0.002
  values: 0.0015
  values: 0.0013
  values: 0.0012
  values: 0.001
  values: 0.0008
  values: 0.0016
  values: 0.0021
  values: 0.0023
  values: 0.0025
  values: 0.0027
  values: 0.0018

depth: 126
depth.units: cm
table name: chron1model1distribution4
age:
  units: yr BP
  variable name: age
  number: 1
  values: 655
  values: 656
  values: 657
  values: 658
  values: 659
  values: 660
  values: 661
  values: 662
  values: 663
  values: 664
  values: 665
  values: 666
  values: 667
  values: 668
  values: 669
  values: 670
  values: 671
  values: 672
  values: 673
  values: 674
  values: 675
  values: 676
  values: 677
  values: 678
  values: 679
  values: 680
  values: 681
  values: 682
  values: 683
  values: 684
  values: 685
  values: 686
  values: 687
  values: 688
  values: 689
  values: 690
  values: 691
  values: 692
  values: 693
  values: 694
  values: 695
  values: 696
  values: 697
  values: 698
  values: 699
  values: 700
  values: 701
  values: 702
  values: 703
  values: 704
  values: 705
  values: 706
  values: 707
  values: 708
  values: 709
  values: 710
  values: 711
  values: 712
  values: 713
  values: 714
  values: 715
  values: 716
  values: 717
  values: 718
  values: 719
  values: 720
  values: 721
  values: 722
  values: 723
  values: 724
  values: 725
  values: 726
  values: 727
  values: 728
  values: 729
  values: 730
  values: 731
probability density:
  variable name: probabilityDensity
  number: 2
  values: 0.0001
  values: 0.0002
  values: 0.0003
  values: 0.0004
  values: 0.0005
  values: 0.0006
  values: 0.0007
  values: 0.0008
  values: 0.0009
  values: 0.001
  values: 0.0011
  values: 0.0012
  values: 0.0013
  values: 0.0014
  values: 0.0016
  values: 0.0017
  values: 0.0018
  values: 0.0019
  values: 0.002
  values: 0.0021
  values: 0.0022
  values: 0.0023
  values: 0.0024
  values: 0.0026
  values: 0.0028
  values: 0.0031
  values: 0.0034
  values: 0.0038
  values: 0.0043
  values: 0.0049
  values: 0.0054
  values: 0.0057
  values: 0.006
  values: 0.0062
  values: 0.0064
  values: 0.0065
  values: 0.0066
  values: 0.0067
  values: 0.0068
  values: 0.0069
  values: 0.007
  values: 0.0071
  values: 0.0061
  values: 0.0058
  values: 0.0051
  values: 0.0047
  values: 0.004
  values: 0.0037
  values: 0.0036
  values: 0.0032
  values: 0.003
  values: 0.0033
  values: 0.0035
  values: 0.0029
  values: 0.0027
  values: 0.0025
  values: 0.0041
  values: 0.0045
  values: 0.005
  values: 0.0052
  values: 0.0053
  values: 0.0055
  values: 0.0056
  values: 0.0044

depth: 146
depth.units: cm
table name: chron1model1distribution5
age:
  units: yr BP
  variable name: age
  number: 1
  values: 565
  values: 566
  values: 567
  values: 568
  values: 569
  values: 570
  values: 571
  values: 572
  values: 573
  values: 574
  values: 575
  values: 576
  values: 577
  values: 578
  values: 579
  values: 580
  values: 581
  values: 582
  values: 583
  values: 584
  values: 585
  values: 586
  values: 587
  values: 588
  values: 589
  values: 590
  values: 591
  values: 592
  values: 593
  values: 594
  values: 595
  values: 596
  values: 597
  values: 598
  values: 599
  values: 600
  values: 601
  values: 602
  values: 603
  values: 604
  values: 605
  values: 606
  values: 607
  values: 608
  values: 609
  values: 610
  values: 611
  values: 612
  values: 613
  values: 614
  values: 615
  values: 616
  values: 617
  values: 618
  values: 619
  values: 620
  values: 621
  values: 622
  values: 623
  values: 624
  values: 625
  values: 626
  values: 627
  values: 628
  values: 629
  values: 630
  values: 631
  values: 632
  values: 633
  values: 634
  values: 635
  values: 636
  values: 637
  values: 638
  values: 639
  values: 640
  values: 641
probability density:
  variable name: probabilityDensity
  number: 2
  values: 0.0001
  values: 0.0002
  values: 0
  values: 0.0003
  values: 0.0004
  values: 0.0005
  values: 0.0006
  values: 0.0007
  values: 0.0008
  values: 0.0009
  values: 0.0011
  values: 0.0014
  values: 0.0017
  values: 0.002
  values: 0.0023
  values: 0.0025
  values: 0.0028
  values: 0.003
  values: 0.0032
  values: 0.0035
  values: 0.0038
  values: 0.0041
  values: 0.0044
  values: 0.0047
  values: 0.0051
  values: 0.0055
  values: 0.0059
  values: 0.0062
  values: 0.0064
  values: 0.0067
  values: 0.0069
  values: 0.007
  values: 0.0071
  values: 0.0072
  values: 0.0073
  values: 0.0074
  values: 0.0075
  values: 0.0076
  values: 0.0068
  values: 0.0066
  values: 0.0065
  values: 0.0079
  values: 0.0081
  values: 0.0084
  values: 0.0087
  values: 0.009
  values: 0.0091
  values: 0.0089
  values: 0.0082
  values: 0.008
  values: 0.0077
  values: 0.0061
  values: 0.006
  values: 0.0078
  values: 0.0056
  values: 0.0053
  values: 0.0049
  values: 0.0046
  values: 0.0043
  values: 0.0039
  values: 0.0037
  values: 0.0034
  values: 0.0031
  values: 0.0027
  values: 0.0024
  values: 0.0021
  values: 0.0018
  values: 0.0015
  values: 0.0013
  values: 0.0012
  values: 0.0016
  values: 0.001
  values: 0.0022
  values: 0.0026
  values: 0.0019

depth: 186
depth.units: cm
table name: chron1model1distribution6
age:
  units: yr BP
  variable name: age
  number: 1
  values: 928
  values: 929
  values: 930
  values: 931
  values: 932
  values: 933
  values: 934
  values: 935
  values: 936
  values: 937
  values: 938
  values: 939
  values: 940
  values: 941
  values: 942
  values: 943
  values: 944
  values: 945
  values: 946
  values: 947
  values: 948
  values: 949
  values: 950
  values: 951
  values: 952
  values: 953
  values: 954
  values: 955
  values: 956
  values: 957
  values: 958
  values: 959
  values: 960
  values: 961
  values: 962
  values: 963
  values: 964
  values: 965
  values: 966
  values: 967
  values: 968
  values: 969
  values: 970
  values: 971
  values: 972
  values: 973
  values: 974
  values: 975
  values: 976
  values: 977
  values: 978
  values: 979
  values: 980
  values: 981
  values: 982
  values: 983
  values: 984
  values: 985
  values: 986
  values: 987
  values: 988
  values: 989
  values: 990
  values: 991
  values: 992
  values: 993
  values: 994
  values: 995
  values: 996
  values: 997
  values: 998
  values: 999
  values: 1000
  values: 1001
  values: 1002
  values: 1003
  values: 1004
probability density:
  variable name: probabilityDensity
  number: 2
  values: 0.0001
  values: 0.0002
  values: 0.0003
  values: 0.0004
  values: 0.0005
  values: 0.0006
  values: 0.0007
  values: 0.0008
  values: 0.0009
  values: 0.001
  values: 0.0011
  values: 0.0012
  values: 0.0013
  values: 0.0015
  values: 0.0016
  values: 0.0018
  values: 0.002
  values: 0.0022
  values: 0.0024
  values: 0.0026
  values: 0.0028
  values: 0.003
  values: 0.0032
  values: 0.0034
  values: 0.0036
  values: 0.0038
  values: 0.0039
  values: 0.0041
  values: 0.0042
  values: 0.0044
  values: 0.0045
  values: 0.0046
  values: 0.0047
  values: 0.0048
  values: 0.0043
  values: 0.004
  values: 0.0049
  values: 0.005
  values: 0.0052
  values: 0.0053
  values: 0.0054
  values: 0.0055
  values: 0.0056
  values: 0.0057
  values: 0.0037
  values: 0.0035
  values: 0.0033
  values: 0.0023
  values: 0.0025
  values: 0.0027
  values: 0.0029
  values: 0.0031
  values: 0.0021
  values: 0.0019
  values: 0.0051
  values: 0.0017
  values: 0.0014
  values: 0

depth: 208
depth.units: cm
table name: chron1model1distribution7
age:
  units: yr BP
  variable name: age
  number: 1
  values: 731
  values: 732
  values: 733
  values: 734
  values: 735
  values: 736
  values: 737
  values: 738
  values: 739
  values: 740
  values: 741
  values: 742
  values: 743
  values: 744
  values: 745
  values: 746
  values: 747
  values: 748
  values: 749
  values: 750
  values: 751
  values: 752
  values: 753
  values: 754
  values: 755
  values: 756
  values: 757
  values: 758
  values: 759
  values: 760
  values: 761
  values: 762
  values: 763
  values: 764
  values: 765
  values: 766
  values: 767
  values: 768
  values: 769
  values: 770
  values: 771
  values: 772
  values: 773
  values: 774
  values: 775
  values: 776
  values: 777
  values: 778
  values: 779
  values: 780
  values: 781
  values: 782
  values: 783
  values: 784
  values: 785
  values: 786
  values: 787
  values: 788
  values: 789
  values: 790
  values: 791
  values: 792
  values: 793
  values: 794
  values: 795
  values: 796
  values: 797
  values: 798
  values: 799
  values: 800
  values: 801
  values: 802
  values: 803
  values: 804
  values: 805
  values: 806
  values: 807
probability density:
  variable name: probabilityDensity
  number: 2
  values: 0.0001
  values: 0.0002
  values: 0.0003
  values: 0.0004
  values: 0.0005
  values: 0.0006
  values: 0.0007
  values: 0.0009
  values: 0.001
  values: 0.0011
  values: 0.0013
  values: 0.0015
  values: 0.0017
  values: 0.0019
  values: 0.0021
  values: 0.0022
  values: 0.0023
  values: 0.0024
  values: 0.0025
  values: 0.0026
  values: 0.0027
  values: 0.0028
  values: 0.002
  values: 0.0029
  values: 0.003
  values: 0.0031
  values: 0.0032
  values: 0.0033
  values: 0.0035
  values: 0.0036
  values: 0.0037
  values: 0.0018
  values: 0.0014
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  values: 0.0016
  values: 0.0039
  values: 0.0042
  values: 0.0045
  values: 0.0049
  values: 0.0053
  values: 0.0058
  values: 0.0063
  values: 0.0069
  values: 0.0074
  values: 0.0078
  values: 0.0083
  values: 0.0087
  values: 0.0091
  values: 0.0094
  values: 0.0099
  values: 0.0102
  values: 0.0105
  values: 0.0103
  values: 0.0101
  values: 0.01
  values: 0.0098
  values: 0.0097
  values: 0.0096
  values: 0.0095
  values: 0.0093
  values: 0.0104
  values: 0.0077
  values: 0.0062
  values: 0.0052
  values: 0.004
  values: 0.0041
  values: 0.0043
  values: 0.0044
  values: 0.0034
  values: 0.0008

depth: 246
depth.units: cm
table name: chron1model1distribution8
age:
  units: yr BP
  variable name: age
  number: 1
  values: 1401
  values: 1402
  values: 1403
  values: 1404
  values: 1405
  values: 1406
  values: 1407
  values: 1408
  values: 1409
  values: 1410
  values: 1411
  values: 1412
  values: 1413
  values: 1414
  values: 1415
  values: 1416
  values: 1417
  values: 1418
  values: 1419
  values: 1420
  values: 1421
  values: 1422
  values: 1423
  values: 1424
  values: 1425
  values: 1426
  values: 1427
  values: 1428
  values: 1429
  values: 1430
  values: 1431
  values: 1432
  values: 1433
  values: 1434
  values: 1435
  values: 1436
  values: 1437
  values: 1438
  values: 1439
  values: 1440
  values: 1441
  values: 1442
  values: 1443
  values: 1444
  values: 1445
  values: 1446
  values: 1447
  values: 1448
  values: 1449
  values: 1450
  values: 1451
  values: 1452
  values: 1453
  values: 1454
  values: 1455
  values: 1456
  values: 1457
  values: 1458
  values: 1459
  values: 1460
  values: 1461
  values: 1462
  values: 1463
  values: 1464
  values: 1465
  values: 1466
  values: 1467
  values: 1468
  values: 1469
  values: 1470
  values: 1471
  values: 1472
  values: 1473
  values: 1474
  values: 1475
  values: 1476
  values: 1477
probability density:
  variable name: probabilityDensity
  number: 2
  values: 0.0001
  values: 0.0002
  values: 0.0003
  values: 0.0004
  values: 0.0005
  values: 0.0006
  values: 0.0007
  values: 0.0008
  values: 0.0009
  values: 0.0011
  values: 0.0012
  values: 0.0013
  values: 0.0014
  values: 0.0015
  values: 0.0016
  values: 0.0017
  values: 0.0018
  values: 0.002
  values: 0.0022
  values: 0.0024
  values: 0.0026
  values: 0.0028
  values: 0.0029
  values: 0.003
  values: 0.0027
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  values: 0.0034
  values: 0.0035
  values: 0.0036
  values: 0.0037
  values: 0.0038
  values: 0.004
  values: 0.0041
  values: 0.0039
  values: 0.0043
  values: 0.0045
  values: 0.0046
  values: 0.0048
  values: 0.0049
  values: 0.005
  values: 0.0051
  values: 0.0052
  values: 0.0053
  values: 0.0054
  values: 0.0055
  values: 0.0056
  values: 0.0057
  values: 0.0058
  values: 0.0059
  values: 0.006
  values: 0.0061
  values: 0.0044
  values: 0.0042
  values: 0.0033
  values: 0.0025
  values: 0.0023
  values: 0.0021
  values: 0.0019
  values: 0.001

depth: 294
depth.units: cm
table name: chron1model1distribution9
age:
  units: yr BP
  variable name: age
  number: 1
  values: 1285
  values: 1286
  values: 1287
  values: 1288
  values: 1289
  values: 1290
  values: 1291
  values: 1292
  values: 1293
  values: 1294
  values: 1295
  values: 1296
  values: 1297
  values: 1298
  values: 1299
  values: 1300
  values: 1301
  values: 1302
  values: 1303
  values: 1304
  values: 1305
  values: 1306
  values: 1307
  values: 1308
  values: 1309
  values: 1310
  values: 1311
  values: 1312
  values: 1313
  values: 1314
  values: 1315
  values: 1316
  values: 1317
  values: 1318
  values: 1319
  values: 1320
  values: 1321
  values: 1322
  values: 1323
  values: 1324
  values: 1325
  values: 1326
  values: 1327
  values: 1328
  values: 1329
  values: 1330
  values: 1331
  values: 1332
  values: 1333
  values: 1334
  values: 1335
  values: 1336
  values: 1337
  values: 1338
  values: 1339
  values: 1340
  values: 1341
  values: 1342
  values: 1343
  values: 1344
  values: 1345
  values: 1346
  values: 1347
  values: 1348
  values: 1349
  values: 1350
  values: 1351
  values: 1352
  values: 1353
  values: 1354
  values: 1355
  values: 1356
  values: 1357
  values: 1358
  values: 1359
  values: 1360
  values: 1361
probability density:
  variable name: probabilityDensity
  number: 2
  values: 0.0001
  values: 0.0002
  values: 0.0003
  values: 0.0004
  values: 0.0005
  values: 0.0006
  values: 0.0007
  values: 0.0008
  values: 0.0009
  values: 0.001
  values: 0.0011
  values: 0.0013
  values: 0.0014
  values: 0.0016
  values: 0.0017
  values: 0.0018
  values: 0.002
  values: 0.0022
  values: 0.0023
  values: 0.0024
  values: 0.0025
  values: 0.0019
  values: 0.0015
  values: 0.0021
  values: 0.0026
  values: 0.0029
  values: 0.0033
  values: 0.0036
  values: 0.0039
  values: 0.0043
  values: 0.0045
  values: 0.0047
  values: 0.0049
  values: 0.0051
  values: 0.0053
  values: 0.0056
  values: 0.0057
  values: 0.0058
  values: 0.0059
  values: 0.006
  values: 0.0061
  values: 0.0062
  values: 0.0063
  values: 0.0064
  values: 0.0065
  values: 0.0067
  values: 0.0068
  values: 0.0069
  values: 0.007
  values: 0.0071
  values: 0.0072
  values: 0.0074
  values: 0.0075
  values: 0.0076
  values: 0.0078
  values: 0.0079
  values: 0.008
  values: 0.0081
  values: 0.0082
  values: 0.0083
  values: 0.0084
  values: 0.0085
  values: 0.0077
  values: 0.0066
  values: 0.0046
  values: 0.004
  values: 0.0037
  values: 0.0034
  values: 0.0032
  values: 0.0031
  values: 0.003
  values: 0.0028
  values: 0.0027
  values: 0.0038
  values: 0.0048
  values: 0.005
  values: 0.0054
  values: 0.0055

depth: 362
depth.units: cm
table name: chron1model1distribution10
age:
  units: yr BP
  variable name: age
  number: 1
  values: 1376
  values: 1377
  values: 1378
  values: 1379
  values: 1380
  values: 1381
  values: 1382
  values: 1383
  values: 1384
  values: 1385
  values: 1386
  values: 1387
  values: 1388
  values: 1389
  values: 1390
  values: 1391
  values: 1392
  values: 1393
  values: 1394
  values: 1395
  values: 1396
  values: 1397
  values: 1398
  values: 1399
  values: 1400
  values: 1401
  values: 1402
  values: 1403
  values: 1404
  values: 1405
  values: 1406
  values: 1407
  values: 1408
  values: 1409
  values: 1410
  values: 1411
  values: 1412
  values: 1413
  values: 1414
  values: 1415
  values: 1416
  values: 1417
  values: 1418
  values: 1419
  values: 1420
  values: 1421
  values: 1422
  values: 1423
  values: 1424
  values: 1425
  values: 1426
  values: 1427
  values: 1428
  values: 1429
  values: 1430
  values: 1431
  values: 1432
  values: 1433
  values: 1434
  values: 1435
  values: 1436
  values: 1437
  values: 1438
  values: 1439
  values: 1440
  values: 1441
  values: 1442
  values: 1443
  values: 1444
  values: 1445
  values: 1446
  values: 1447
  values: 1448
  values: 1449
  values: 1450
  values: 1451
  values: 1452
probability density:
  variable name: probabilityDensity
  number: 2
  values: 0.0001
  values: 0.0002
  values: 0.0003
  values: 0.0004
  values: 0.0005
  values: 0.0006
  values: 0.0007
  values: 0.0008
  values: 0.0009
  values: 0.001
  values: 0.0011
  values: 0.0012
  values: 0.0013
  values: 0.0014
  values: 0.0015
  values: 0.0016
  values: 0.0017
  values: 0.0018
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  values: 0.002
  values: 0.0022
  values: 0.0023
  values: 0.0025
  values: 0.0029
  values: 0.0032
  values: 0.0037
  values: 0.0041
  values: 0.0046
  values: 0.0049
  values: 0.0052
  values: 0.0053
  values: 0.0054
  values: 0.0056
  values: 0.0058
  values: 0.006
  values: 0.0062
  values: 0.0064
  values: 0.0067
  values: 0.0068
  values: 0.0069
  values: 0.007
  values: 0.0066
  values: 0.0065
  values: 0.0063
  values: 0.0059
  values: 0.0057
  values: 0.0055
  values: 0.0051
  values: 0.0048
  values: 0.0047
  values: 0.0045
  values: 0.0043
  values: 0.0038
  values: 0.0035
  values: 0.0028
  values: 0.0027
  values: 0.0026
  values: 0.0024
  values: 0.0021
  values: 0.003
  values: 0.0033
  values: 0.004
  values: 0.0042
  values: 0.0044
  values: 0.0036

depth: 440
depth.units: cm
table name: chron1model1distribution11
age:
  units: yr BP
  variable name: age
  number: 1
  values: 1413
  values: 1414
  values: 1415
  values: 1416
  values: 1417
  values: 1418
  values: 1419
  values: 1420
  values: 1421
  values: 1422
  values: 1423
  values: 1424
  values: 1425
  values: 1426
  values: 1427
  values: 1428
  values: 1429
  values: 1430
  values: 1431
  values: 1432
  values: 1433
  values: 1434
  values: 1435
  values: 1436
  values: 1437
  values: 1438
  values: 1439
  values: 1440
  values: 1441
  values: 1442
  values: 1443
  values: 1444
  values: 1445
  values: 1446
  values: 1447
  values: 1448
  values: 1449
  values: 1450
  values: 1451
  values: 1452
  values: 1453
  values: 1454
  values: 1455
  values: 1456
  values: 1457
  values: 1458
  values: 1459
  values: 1460
  values: 1461
  values: 1462
  values: 1463
  values: 1464
  values: 1465
  values: 1466
  values: 1467
  values: 1468
  values: 1469
  values: 1470
  values: 1471
  values: 1472
  values: 1473
  values: 1474
  values: 1475
  values: 1476
  values: 1477
  values: 1478
  values: 1479
  values: 1480
  values: 1481
  values: 1482
  values: 1483
  values: 1484
  values: 1485
  values: 1486
  values: 1487
  values: 1488
  values: 1489
probability density:
  variable name: probabilityDensity
  number: 2
  values: 0.0001
  values: 0.0002
  values: 0.0003
  values: 0.0004
  values: 0.0005
  values: 0.0006
  values: 0.0007
  values: 0.0008
  values: 0.0009
  values: 0.001
  values: 0.0011
  values: 0.0012
  values: 0.0013
  values: 0.0015
  values: 0.0017
  values: 0.0019
  values: 0.0021
  values: 0.0022
  values: 0.0023
  values: 0.002
  values: 0.0024
  values: 0.0025
  values: 0.0026
  values: 0.0028
  values: 0.0027
  values: 0.003
  values: 0.0032
  values: 0.0033
  values: 0.0034
  values: 0.0035
  values: 0.0031
  values: 0.0037
  values: 0.004
  values: 0.0042
  values: 0.0044
  values: 0.0045
  values: 0.0046
  values: 0.0047
  values: 0.0049
  values: 0.0052
  values: 0.0054
  values: 0.0055
  values: 0.0057
  values: 0.0058
  values: 0.0059
  values: 0.0061
  values: 0.0063
  values: 0.0065
  values: 0.0067
  values: 0.0069
  values: 0.007
  values: 0.0071
  values: 0.0068
  values: 0.0066
  values: 0.0064
  values: 0.0062
  values: 0.006
  values: 0.0053
  values: 0.005
  values: 0.0039
  values: 0.0036
  values: 0.0041
  values: 0.0048
  values: 0.0051
  values: 0.0029
  values: 0.0018
  values: 0.0014
  values: 0

depth: 570
depth.units: cm
table name: chron1model1distribution12
age:
  units: yr BP
  variable name: age
  number: 1
  values: 2336
  values: 2337
  values: 2338
  values: 2339
  values: 2340
  values: 2341
  values: 2342
  values: 2343
  values: 2344
  values: 2345
  values: 2346
  values: 2347
  values: 2348
  values: 2349
  values: 2350
  values: 2351
  values: 2352
  values: 2353
  values: 2354
  values: 2355
  values: 2356
  values: 2357
  values: 2358
  values: 2359
  values: 2360
  values: 2361
  values: 2362
  values: 2363
  values: 2364
  values: 2365
  values: 2366
  values: 2367
  values: 2368
  values: 2369
  values: 2370
  values: 2371
  values: 2372
  values: 2373
  values: 2374
  values: 2375
  values: 2376
  values: 2377
  values: 2378
  values: 2379
  values: 2380
  values: 2381
  values: 2382
  values: 2383
  values: 2384
  values: 2385
  values: 2386
  values: 2387
  values: 2388
  values: 2389
  values: 2390
  values: 2391
  values: 2392
  values: 2393
  values: 2394
  values: 2395
  values: 2396
  values: 2397
  values: 2398
  values: 2399
  values: 2400
  values: 2401
  values: 2402
  values: 2403
  values: 2404
  values: 2405
  values: 2406
  values: 2407
  values: 2408
  values: 2409
  values: 2410
  values: 2411
  values: 2412
probability density:
  variable name: probabilityDensity
  number: 2
  values: 0
  values: 0.0001
  values: 0.0002
  values: 0.0003
  values: 0.0004
  values: 0.0005
  values: 0.0006
  values: 0.0007
  values: 0.0008
  values: 0.0009
  values: 0.001
  values: 0.0011
  values: 0.0012
  values: 0.0013
  values: 0.0014
  values: 0.0015
  values: 0.0016
  values: 0.0017
  values: 0.0018
  values: 0.0019
  values: 0.002
  values: 0.0021
  values: 0.0022
  values: 0.0023
  values: 0.0024
  values: 0.0025
  values: 0.0026
  values: 0.0027
  values: 0.0029
  values: 0.0031
  values: 0.0032
  values: 0.0033
  values: 0.0034
  values: 0.0035
  values: 0.0036
  values: 0.003
  values: 0.0028

depth: 626
depth.units: cm
table name: chron1model1distribution13
age:
  units: yr BP
  variable name: age
  number: 1
  values: 2546
  values: 2547
  values: 2548
  values: 2549
  values: 2550
  values: 2551
  values: 2552
  values: 2553
  values: 2554
  values: 2555
  values: 2556
  values: 2557
  values: 2558
  values: 2559
  values: 2560
  values: 2561
  values: 2562
  values: 2563
  values: 2564
  values: 2565
  values: 2566
  values: 2567
  values: 2568
  values: 2569
  values: 2570
  values: 2571
  values: 2572
  values: 2573
  values: 2574
  values: 2575
  values: 2576
  values: 2577
  values: 2578
  values: 2579
  values: 2580
  values: 2581
  values: 2582
  values: 2583
  values: 2584
  values: 2585
  values: 2586
  values: 2587
  values: 2588
  values: 2589
  values: 2590
  values: 2591
  values: 2592
  values: 2593
  values: 2594
  values: 2595
  values: 2596
  values: 2597
  values: 2598
  values: 2599
  values: 2600
  values: 2601
  values: 2602
  values: 2603
  values: 2604
  values: 2605
  values: 2606
  values: 2607
  values: 2608
  values: 2609
  values: 2610
  values: 2611
  values: 2612
  values: 2613
  values: 2614
  values: 2615
  values: 2616
  values: 2617
  values: 2618
  values: 2619
  values: 2620
  values: 2621
  values: 2622
probability density:
  variable name: probabilityDensity
  number: 2
  values: 0.0001
  values: 0
  values: 0.0002
  values: 0.0003
  values: 0.0004
  values: 0.0005
  values: 0.0006
  values: 0.0007
  values: 0.0008
  values: 0.0009
  values: 0.0011
  values: 0.0012
  values: 0.0014
  values: 0.0016
  values: 0.0018
  values: 0.002
  values: 0.0022
  values: 0.0023
  values: 0.0024
  values: 0.0025
  values: 0.0026
  values: 0.0027
  values: 0.0028
  values: 0.003
  values: 0.0031
  values: 0.0032
  values: 0.0033
  values: 0.0034
  values: 0.0035
  values: 0.0036
  values: 0.0037
  values: 0.004
  values: 0.0042
  values: 0.0044
  values: 0.0046
  values: 0.0048
  values: 0.0049
  values: 0.005
  values: 0.0051
  values: 0.0052
  values: 0.0053
  values: 0.0054
  values: 0.0055
  values: 0.0056
  values: 0.0047
  values: 0.0045
  values: 0.0057
  values: 0.0058
  values: 0.0043
  values: 0.0041
  values: 0.0039
  values: 0.0038
  values: 0.0029
  values: 0.0021
  values: 0.0019
  values: 0.0015
  values: 0.0013
  values: 0.001

depth: 634
depth.units: cm
table name: chron1model1distribution14
age:
  units: yr BP
  variable name: age
  number: 1
  values: 2756
  values: 2757
  values: 2758
  values: 2759
  values: 2760
  values: 2761
  values: 2762
  values: 2763
  values: 2764
  values: 2765
  values: 2766
  values: 2767
  values: 2768
  values: 2769
  values: 2770
  values: 2771
  values: 2772
  values: 2773
  values: 2774
  values: 2775
  values: 2776
  values: 2777
  values: 2778
  values: 2779
  values: 2780
  values: 2781
  values: 2782
  values: 2783
  values: 2784
  values: 2785
  values: 2786
  values: 2787
  values: 2788
  values: 2789
  values: 2790
  values: 2791
  values: 2792
  values: 2793
  values: 2794
  values: 2795
  values: 2796
  values: 2797
  values: 2798
  values: 2799
  values: 2800
  values: 2801
  values: 2802
  values: 2803
  values: 2804
  values: 2805
  values: 2806
  values: 2807
  values: 2808
  values: 2809
  values: 2810
  values: 2811
  values: 2812
  values: 2813
  values: 2814
  values: 2815
  values: 2816
  values: 2817
  values: 2818
  values: 2819
  values: 2820
  values: 2821
  values: 2822
  values: 2823
  values: 2824
  values: 2825
  values: 2826
  values: 2827
  values: 2828
  values: 2829
  values: 2830
  values: 2831
  values: 2832
probability density:
  variable name: probabilityDensity
  number: 2
  values: 0.0001
  values: 0.0002
  values: 0.0003
  values: 0.0004
  values: 0.0005
  values: 0.0006
  values: 0.0007
  values: 0.0008
  values: 0.0009
  values: 0.001
  values: 0.0011
  values: 0.0013
  values: 0.0014
  values: 0.0015
  values: 0.0016
  values: 0.0018
  values: 0.0019
  values: 0.002
  values: 0.0021
  values: 0.0022
  values: 0.0023
  values: 0.0024
  values: 0.0025
  values: 0.0026
  values: 0.0027
  values: 0.0029
  values: 0.0031
  values: 0.0032
  values: 0.0033
  values: 0.0035
  values: 0.0036
  values: 0.0038
  values: 0.0039
  values: 0.0041
  values: 0.0042
  values: 0.0044
  values: 0.0045
  values: 0.0047
  values: 0.0049
  values: 0.005
  values: 0.0051
  values: 0.0052
  values: 0.0053
  values: 0.0054
  values: 0.0046
  values: 0.0043
  values: 0.0055
  values: 0.0056
  values: 0.0057
  values: 0.0058
  values: 0.0048
  values: 0.0034
  values: 0.0028
  values: 0.003
  values: 0.0017
  values: 0.0012
  values: 0

depth: 714
depth.units: cm
table name: chron1model1distribution15
age:
  units: yr BP
  variable name: age
  number: 1
  values: 3398
  values: 3399
  values: 3400
  values: 3401
  values: 3402
  values: 3403
  values: 3404
  values: 3405
  values: 3406
  values: 3407
  values: 3408
  values: 3409
  values: 3410
  values: 3411
  values: 3412
  values: 3413
  values: 3414
  values: 3415
  values: 3416
  values: 3417
  values: 3418
  values: 3419
  values: 3420
  values: 3421
  values: 3422
  values: 3423
  values: 3424
  values: 3425
  values: 3426
  values: 3427
  values: 3428
  values: 3429
  values: 3430
  values: 3431
  values: 3432
  values: 3433
  values: 3434
  values: 3435
  values: 3436
  values: 3437
  values: 3438
  values: 3439
  values: 3440
  values: 3441
  values: 3442
  values: 3443
  values: 3444
  values: 3445
  values: 3446
  values: 3447
  values: 3448
  values: 3449
  values: 3450
  values: 3451
  values: 3452
  values: 3453
  values: 3454
  values: 3455
  values: 3456
  values: 3457
  values: 3458
  values: 3459
  values: 3460
  values: 3461
  values: 3462
  values: 3463
  values: 3464
  values: 3465
  values: 3466
  values: 3467
  values: 3468
  values: 3469
  values: 3470
  values: 3471
  values: 3472
  values: 3473
  values: 3474
probability density:
  variable name: probabilityDensity
  number: 2
  values: 0.0001
  values: 0.0002
  values: 0.0003
  values: 0.0004
  values: 0.0005
  values: 0.0006
  values: 0.0007
  values: 0.0008
  values: 0.0009
  values: 0.001
  values: 0.0011
  values: 0.0012
  values: 0.0013
  values: 0.0014
  values: 0.0015
  values: 0.0016
  values: 0.0017
  values: 0.0018
  values: 0.0019
  values: 0.0021
  values: 0.0022
  values: 0.002
  values: 0.0023
  values: 0.0025
  values: 0.0028
  values: 0.003
  values: 0.0032
  values: 0.0034
  values: 0.0035
  values: 0.0038
  values: 0.004
  values: 0.0043
  values: 0.0045
  values: 0.0047
  values: 0.0049
  values: 0.0051
  values: 0.0053
  values: 0.0054
  values: 0.0055
  values: 0.0056
  values: 0.0057
  values: 0.0058
  values: 0.0046
  values: 0.0044
  values: 0.0041
  values: 0.0036
  values: 0.0039
  values: 0.0042
  values: 0.0031
  values: 0.0029
  values: 0.0027
  values: 0.0024

depth: 746
depth.units: cm
table name: chron1model1distribution16
age:
  units: yr BP
  variable name: age
  number: 1
  values: 3648
  values: 3649
  values: 3650
  values: 3651
  values: 3652
  values: 3653
  values: 3654
  values: 3655
  values: 3656
  values: 3657
  values: 3658
  values: 3659
  values: 3660
  values: 3661
  values: 3662
  values: 3663
  values: 3664
  values: 3665
  values: 3666
  values: 3667
  values: 3668
  values: 3669
  values: 3670
  values: 3671
  values: 3672
  values: 3673
  values: 3674
  values: 3675
  values: 3676
  values: 3677
  values: 3678
  values: 3679
  values: 3680
  values: 3681
  values: 3682
  values: 3683
  values: 3684
  values: 3685
  values: 3686
  values: 3687
  values: 3688
  values: 3689
  values: 3690
  values: 3691
  values: 3692
  values: 3693
  values: 3694
  values: 3695
  values: 3696
  values: 3697
  values: 3698
  values: 3699
  values: 3700
  values: 3701
  values: 3702
  values: 3703
  values: 3704
  values: 3705
  values: 3706
  values: 3707
  values: 3708
  values: 3709
  values: 3710
  values: 3711
  values: 3712
  values: 3713
  values: 3714
  values: 3715
  values: 3716
  values: 3717
  values: 3718
  values: 3719
  values: 3720
  values: 3721
  values: 3722
  values: 3723
  values: 3724
probability density:
  variable name: probabilityDensity
  number: 2
  values: 0.0001
  values: 0.0002
  values: 0
  values: 0.0003
  values: 0.0004
  values: 0.0005
  values: 0.0006
  values: 0.0007
  values: 0.0008
  values: 0.0009
  values: 0.001
  values: 0.0011
  values: 0.0012
  values: 0.0014
  values: 0.0016
  values: 0.0019
  values: 0.0022
  values: 0.0025
  values: 0.003
  values: 0.0034
  values: 0.0037
  values: 0.0042
  values: 0.0044
  values: 0.0047
  values: 0.0049
  values: 0.0043
  values: 0.0041
  values: 0.004
  values: 0.0031
  values: 0.0028
  values: 0.0026
  values: 0.0023
  values: 0.002
  values: 0.0018
  values: 0.0017
  values: 0.0015
  values: 0.0021
  values: 0.0024
  values: 0.0045
  values: 0.005
  values: 0.0054
  values: 0.0057
  values: 0.0062
  values: 0.0065
  values: 0.0069
  values: 0.0071
  values: 0.007
  values: 0.0068
  values: 0.0063
  values: 0.0058
  values: 0.0053
  values: 0.0032
  values: 0.0027
  values: 0.0013
  values: 0.0033
  values: 0.0038
  values: 0.0077
  values: 0.0082
  values: 0.0086
  values: 0.0092
  values: 0.0095
  values: 0.0098
  values: 0.01
  values: 0.0101
  values: 0.0099
  values: 0.0097
  values: 0.0096
  values: 0.0091
  values: 0.009
  values: 0.0089
  values: 0.0087
  values: 0.0088
  values: 0.0084
  values: 0.008
  values: 0.0078
  values: 0.0075
  values: 0.0073
  values: 0.0067

depth: 782
depth.units: cm
table name: chron1model1distribution17
age:
  units: yr BP
  variable name: age
  number: 1
  values: 3835
  values: 3836
  values: 3837
  values: 3838
  values: 3839
  values: 3840
  values: 3841
  values: 3842
  values: 3843
  values: 3844
  values: 3845
  values: 3846
  values: 3847
  values: 3848
  values: 3849
  values: 3850
  values: 3851
  values: 3852
  values: 3853
  values: 3854
  values: 3855
  values: 3856
  values: 3857
  values: 3858
  values: 3859
  values: 3860
  values: 3861
  values: 3862
  values: 3863
  values: 3864
  values: 3865
  values: 3866
  values: 3867
  values: 3868
  values: 3869
  values: 3870
  values: 3871
  values: 3872
  values: 3873
  values: 3874
  values: 3875
  values: 3876
  values: 3877
  values: 3878
  values: 3879
  values: 3880
  values: 3881
  values: 3882
  values: 3883
  values: 3884
  values: 3885
  values: 3886
  values: 3887
  values: 3888
  values: 3889
  values: 3890
  values: 3891
  values: 3892
  values: 3893
  values: 3894
  values: 3895
  values: 3896
  values: 3897
  values: 3898
  values: 3899
  values: 3900
  values: 3901
  values: 3902
  values: 3903
  values: 3904
  values: 3905
  values: 3906
  values: 3907
  values: 3908
  values: 3909
  values: 3910
  values: 3911
probability density:
  variable name: probabilityDensity
  number: 2
  values: 0.0001
  values: 0.0002
  values: 0.0003
  values: 0.0004
  values: 0.0005
  values: 0.0006
  values: 0.0007
  values: 0.0008
  values: 0.0009
  values: 0.001
  values: 0.0011
  values: 0.0012
  values: 0.0013
  values: 0.0014
  values: 0.0015
  values: 0.0017
  values: 0.0018
  values: 0.0019
  values: 0.002
  values: 0.0023
  values: 0.0025
  values: 0.0026
  values: 0.0028
  values: 0.003
  values: 0.0032
  values: 0.0033
  values: 0.0035
  values: 0.0036
  values: 0.0037
  values: 0.0038
  values: 0.0039
  values: 0.004
  values: 0.0041
  values: 0.0042
  values: 0.0043
  values: 0.0044
  values: 0.0045
  values: 0.0046
  values: 0.0047
  values: 0.0048
  values: 0.0049
  values: 0.0034
  values: 0.0031
  values: 0.0029
  values: 0.0027
  values: 0.0024
  values: 0.0022
  values: 0.0051
  values: 0.0052
  values: 0.0053
  values: 0.0054
  values: 0.0055
  values: 0.005
  values: 0.0021
  values: 0.0016

version: 1.0.5
last version: 1.0.4
curator: nicholas
timestamp: 2025-04-17 20:04:41.210428 UTC
changes:
  paleo column metadata: d2H (LS15AIKA01A1): paleoData_isPrimary: '' has been replaced by 'FALSE'
  paleo column metadata: d2H (LS15AIKA01A1): paleoData_primaryAgeColumn: '' has been replaced by 'FALSE'
  paleo column metadata: d2H (LS15AIKA01A2): paleoData_isPrimary: '' has been replaced by 'FALSE'
  paleo column metadata: d2H (LS15AIKA01A2): paleoData_primaryAgeColumn: '' has been replaced by 'FALSE'
  paleo column metadata: d2H (LS15AIKA01B): paleoData_isPrimary: '' has been replaced by 'FALSE'
  paleo column metadata: d2H (LS15AIKA01B): paleoData_primaryAgeColumn: '' has been replaced by 'FALSE'
  paleo column metadata: year (MAT3be8633483): paleoData_isPrimary: '' has been replaced by 'TRUE'
  paleo column metadata: year (MAT3be8633483): paleoData_primaryAgeColumn: '' has been replaced by 'TRUE'
  paleo column metadata: depth (MATa27c44c8f8): paleoData_isPrimary: '' has been replaced by 'FALSE'
  paleo column metadata: depth (MATa27c44c8f8): paleoData_primaryAgeColumn: '' has been replaced by 'FALSE'
  paleo column metadata: uncertainty1s (NPM147147): paleoData_primaryAgeColumn: '' has been replaced by 'FALSE'
  paleo column metadata: uncertainty1s (NPM147147a): paleoData_primaryAgeColumn: '' has been replaced by 'FALSE'
  paleo column metadata: uncertainty1s (NPM147147b): paleoData_primaryAgeColumn: '' has been replaced by 'FALSE'
  paleo column metadata: deleteThisColumn (NPM147147c): paleoData_isPrimary: '' has been replaced by 'FALSE'
  paleo column metadata: deleteThisColumn (NPM147147c): paleoData_primaryAgeColumn: '' has been replaced by 'FALSE'
  paleo column metadata: uncertainty1s (NPM147147d): paleoData_primaryAgeColumn: '' has been replaced by 'FALSE'

version: 1.0.4
last version: 1.0.3
curator: nicholas
timestamp: 2025-04-11 16:26:59.585211 UTC
changes:
  paleo interpretation metadata: d2H (LS15AIKA01A1): interpretation1_scope: '' has been replaced by 'climate'
  paleo interpretation metadata: d2H (LS15AIKA01A1): interpretation2_scope: '' has been replaced by 'climate'
  paleo interpretation metadata: d2H (LS15AIKA01A1): interpretation3_scope: '' has been replaced by 'climate'
  paleo interpretation metadata: d2H (LS15AIKA01A1): interpretation4_scope: '' has been replaced by 'isotope'
  paleo interpretation metadata: d2H (LS15AIKA01A1): interpretation5_scope: '' has been replaced by 'isotope'
  paleo interpretation metadata: d2H (LS15AIKA01A1): interpretation6_scope: '' has been replaced by 'isotope'
  paleo interpretation metadata: d2H (LS15AIKA01A2): interpretation2_basis: 'Higher isotopic values in the summer compared to the winter (Yao et al., 2013; Bowen and Revenaugh, 2003) suggest that monthly values are indeed driven by temperature. If these seasonal controls also determine interannual variations in the isotopic composition of precipitation then temperature is likely to be a major factor explaining the reconstructed hydrogen isotopic variability. A higher percentage of growing season rainfall (relative to total water used by plants) would result in higher deltaD values.' has been replaced by ''
  paleo interpretation metadata: d2H (LS15AIKA01A2): interpretation2_direction: 'positive' has been replaced by ''
  paleo interpretation metadata: d2H (LS15AIKA01A2): interpretation2_mathematicalRelation: 'linear' has been replaced by ''
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  paleo interpretation metadata: d2H (LS15AIKA01A2): interpretation2_seasonality: 'Annual' has been replaced by ''
  paleo interpretation metadata: d2H (LS15AIKA01A2): interpretation2_seasonalityOriginal: 'Annual' has been replaced by ''
  paleo interpretation metadata: d2H (LS15AIKA01A2): interpretation2_variable: 'precipitationIsotope' has been replaced by ''
  paleo interpretation metadata: d2H (LS15AIKA01A2): interpretation2_variableGroup: 'P_isotope' has been replaced by ''
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  paleo interpretation metadata: d2H (LS15AIKA01A2): interpretation3_basis: 'Higher isotopic values in the summer compared to the winter (Yao et al., 2013; Bowen and Revenaugh, 2003) suggest that monthly values are indeed driven by temperature. If these seasonal controls also determine interannual variations in the isotopic composition of precipitation then temperature is likely to be a major factor explaining the reconstructed hydrogen isotopic variability. A higher percentage of winter snowmelt (relative to total water used by plants) would result in lower deltaD values.' has been replaced by ''
  paleo interpretation metadata: d2H (LS15AIKA01A2): interpretation3_direction: 'negative' has been replaced by ''
  paleo interpretation metadata: d2H (LS15AIKA01A2): interpretation3_mathematicalRelation: 'linear' has been replaced by ''
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  paleo interpretation metadata: d2H (LS15AIKA01A2): interpretation3_seasonality: 'Winter' has been replaced by ''
  paleo interpretation metadata: d2H (LS15AIKA01A2): interpretation3_variable: 'precipitation' has been replaced by ''
  paleo interpretation metadata: d2H (LS15AIKA01A2): interpretation3_variableGroup: 'winter snow melting during growing season' has been replaced by ''
  paleo interpretation metadata: d2H (LS15AIKA01A2): interpretation4_basis: 'This amount effect lowers the summer precipitation isotopic com- position, dampens the seasonality of the mean precipitation of isotopic values and lowers the integrated annual precip- itation isotopic composition. Hence, in drier years average ?D values will be D-enriched relative to wetter years, and likewise warmer years will be D-enriched relative to colder years (Fig. 4b). Given the low precipitation amounts in this arid region today, the amount effect is likely to remain sec-ondary to the temperature controls on isotopic composition apparent in the seasonal cycle.' has been replaced by 'Higher isotopic values in the summer compared to the winter (Yao et al., 2013; Bowen and Revenaugh, 2003) suggest that monthly values are indeed driven by temperature. If these seasonal controls also determine interannual variations in the isotopic composition of precipitation then temperature is likely to be a major factor explaining the reconstructed hydrogen isotopic variability. A higher percentage of growing season rainfall (relative to total water used by plants) would result in higher deltaD values.'
  paleo interpretation metadata: d2H (LS15AIKA01A2): interpretation4_direction: 'negative' has been replaced by 'positive'
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  paleo interpretation metadata: d2H (LS15AIKA01A2): interpretation4_seasonality: 'Summer' has been replaced by 'Annual'
  paleo interpretation metadata: d2H (LS15AIKA01A2): interpretation4_variable: 'precipitation' has been replaced by 'precipitationIsotope'
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  paleo interpretation metadata: d2H (LS15AIKA01A2): interpretation4_variableGroupDirection: 'negative' has been replaced by 'positive'
  paleo interpretation metadata: d2H (LS15AIKA01A2): interpretation4_variableGroupOriginal: 'precipitation amount' has been replaced by ''
  paleo interpretation metadata: d2H (LS15AIKA01A2): interpretation4_seasonalityOriginal: '' has been replaced by 'Annual'
  paleo interpretation metadata: d2H (LS15AIKA01A2): interpretation5_basis: '' has been replaced by 'Higher isotopic values in the summer compared to the winter (Yao et al., 2013; Bowen and Revenaugh, 2003) suggest that monthly values are indeed driven by temperature. If these seasonal controls also determine interannual variations in the isotopic composition of precipitation then temperature is likely to be a major factor explaining the reconstructed hydrogen isotopic variability. A higher percentage of winter snowmelt (relative to total water used by plants) would result in lower deltaD values.'
  paleo interpretation metadata: d2H (LS15AIKA01A2): interpretation5_direction: '' has been replaced by 'negative'
  paleo interpretation metadata: d2H (LS15AIKA01A2): interpretation5_mathematicalRelation: '' has been replaced by 'linear'
  paleo interpretation metadata: d2H (LS15AIKA01A2): interpretation5_rank: '' has been replaced by '2'
  paleo interpretation metadata: d2H (LS15AIKA01A2): interpretation5_scope: '' has been replaced by 'isotope'
  paleo interpretation metadata: d2H (LS15AIKA01A2): interpretation5_seasonality: '' has been replaced by 'Winter'
  paleo interpretation metadata: d2H (LS15AIKA01A2): interpretation5_variable: '' has been replaced by 'precipitation'
  paleo interpretation metadata: d2H (LS15AIKA01A2): interpretation5_variableGroup: '' has been replaced by 'winter snow melting during growing season'
  paleo interpretation metadata: d2H (LS15AIKA01A2): interpretation6_basis: '' has been replaced by 'This amount effect lowers the summer precipitation isotopic com- position, dampens the seasonality of the mean precipitation of isotopic values and lowers the integrated annual precip- itation isotopic composition. Hence, in drier years average ?D values will be D-enriched relative to wetter years, and likewise warmer years will be D-enriched relative to colder years (Fig. 4b). Given the low precipitation amounts in this arid region today, the amount effect is likely to remain sec-ondary to the temperature controls on isotopic composition apparent in the seasonal cycle.'
  paleo interpretation metadata: d2H (LS15AIKA01A2): interpretation6_direction: '' has been replaced by 'negative'
  paleo interpretation metadata: d2H (LS15AIKA01A2): interpretation6_mathematicalRelation: '' has been replaced by 'linear'
  paleo interpretation metadata: d2H (LS15AIKA01A2): interpretation6_rank: '' has been replaced by '3'
  paleo interpretation metadata: d2H (LS15AIKA01A2): interpretation6_scope: '' has been replaced by 'isotope'
  paleo interpretation metadata: d2H (LS15AIKA01A2): interpretation6_seasonality: '' has been replaced by 'Summer'
  paleo interpretation metadata: d2H (LS15AIKA01A2): interpretation6_variable: '' has been replaced by 'precipitation'
  paleo interpretation metadata: d2H (LS15AIKA01A2): interpretation6_variableGroup: '' has been replaced by 'EffectiveMoisture'
  paleo interpretation metadata: d2H (LS15AIKA01A2): interpretation6_variableGroupDirection: '' has been replaced by 'negative'
  paleo interpretation metadata: d2H (LS15AIKA01A2): interpretation6_variableGroupOriginal: '' has been replaced by 'precipitation amount'
  paleo interpretation metadata: d2H (LS15AIKA01B): interpretation2_basis: 'Higher isotopic values in the summer compared to the winter (Yao et al., 2013; Bowen and Revenaugh, 2003) suggest that monthly values are indeed driven by temperature. If these seasonal controls also determine interannual variations in the isotopic composition of precipitation then temperature is likely to be a major factor explaining the reconstructed hydrogen isotopic variability. A higher percentage of growing season rainfall (relative to total water used by plants) would result in higher deltaD values.' has been replaced by ''
  paleo interpretation metadata: d2H (LS15AIKA01B): interpretation2_direction: 'positive' has been replaced by ''
  paleo interpretation metadata: d2H (LS15AIKA01B): interpretation2_inferredMaterial: 'soil water' has been replaced by ''
  paleo interpretation metadata: d2H (LS15AIKA01B): interpretation2_mathematicalRelation: 'linear' has been replaced by ''
  paleo interpretation metadata: d2H (LS15AIKA01B): interpretation2_rank: '1' has been replaced by ''
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  paleo interpretation metadata: d2H (LS15AIKA01B): interpretation2_seasonality: 'Annual' has been replaced by ''
  paleo interpretation metadata: d2H (LS15AIKA01B): interpretation2_seasonalityOriginal: 'Annual' has been replaced by ''
  paleo interpretation metadata: d2H (LS15AIKA01B): interpretation2_variable: 'precipitationIsotope' has been replaced by ''
  paleo interpretation metadata: d2H (LS15AIKA01B): interpretation2_variableGroup: 'P_isotope' has been replaced by ''
  paleo interpretation metadata: d2H (LS15AIKA01B): interpretation2_variableGroupDirection: 'positive' has been replaced by ''
  paleo interpretation metadata: d2H (LS15AIKA01B): interpretation3_basis: 'Higher isotopic values in the summer compared to the winter (Yao et al., 2013; Bowen and Revenaugh, 2003) suggest that monthly values are indeed driven by temperature. If these seasonal controls also determine interannual variations in the isotopic composition of precipitation then temperature is likely to be a major factor explaining the reconstructed hydrogen isotopic variability. A higher percentage of winter snowmelt (relative to total water used by plants) would result in lower deltaD values.' has been replaced by ''
  paleo interpretation metadata: d2H (LS15AIKA01B): interpretation3_direction: 'negative' has been replaced by ''
  paleo interpretation metadata: d2H (LS15AIKA01B): interpretation3_inferredMaterial: 'soil water' has been replaced by ''
  paleo interpretation metadata: d2H (LS15AIKA01B): interpretation3_mathematicalRelation: 'linear' has been replaced by ''
  paleo interpretation metadata: d2H (LS15AIKA01B): interpretation3_rank: '2' has been replaced by ''
  paleo interpretation metadata: d2H (LS15AIKA01B): interpretation3_scope: 'isotope' has been replaced by 'climate'
  paleo interpretation metadata: d2H (LS15AIKA01B): interpretation3_seasonality: 'Winter' has been replaced by ''
  paleo interpretation metadata: d2H (LS15AIKA01B): interpretation3_variable: 'precipitation' has been replaced by ''
  paleo interpretation metadata: d2H (LS15AIKA01B): interpretation3_variableGroup: 'winter snow melting during growing season' has been replaced by ''
  paleo interpretation metadata: d2H (LS15AIKA01B): interpretation4_basis: 'This amount effect lowers the summer precipitation isotopic com- position, dampens the seasonality of the mean precipitation of isotopic values and lowers the integrated annual precip- itation isotopic composition. Hence, in drier years average ?D values will be D-enriched relative to wetter years, and likewise warmer years will be D-enriched relative to colder years (Fig. 4b). Given the low precipitation amounts in this arid region today, the amount effect is likely to remain sec-ondary to the temperature controls on isotopic composition apparent in the seasonal cycle.' has been replaced by 'Higher isotopic values in the summer compared to the winter (Yao et al., 2013; Bowen and Revenaugh, 2003) suggest that monthly values are indeed driven by temperature. If these seasonal controls also determine interannual variations in the isotopic composition of precipitation then temperature is likely to be a major factor explaining the reconstructed hydrogen isotopic variability. A higher percentage of growing season rainfall (relative to total water used by plants) would result in higher deltaD values.'
  paleo interpretation metadata: d2H (LS15AIKA01B): interpretation4_direction: 'negative' has been replaced by 'positive'
  paleo interpretation metadata: d2H (LS15AIKA01B): interpretation4_rank: '3' has been replaced by '1'
  paleo interpretation metadata: d2H (LS15AIKA01B): interpretation4_seasonality: 'Summer' has been replaced by 'Annual'
  paleo interpretation metadata: d2H (LS15AIKA01B): interpretation4_variable: 'precipitation' has been replaced by 'precipitationIsotope'
  paleo interpretation metadata: d2H (LS15AIKA01B): interpretation4_variableGroup: 'EffectiveMoisture' has been replaced by 'P_isotope'
  paleo interpretation metadata: d2H (LS15AIKA01B): interpretation4_variableGroupDirection: 'negative' has been replaced by 'positive'
  paleo interpretation metadata: d2H (LS15AIKA01B): interpretation4_variableGroupOriginal: 'precipitation amount' has been replaced by ''
  paleo interpretation metadata: d2H (LS15AIKA01B): interpretation4_seasonalityOriginal: '' has been replaced by 'Annual'

version: 1.0.3
last version: 1.0.2
curator: nicholas
timestamp: 2025-04-09 20:48:30.406534 UTC
notes: Updated lipdverse database entry with a changed file.
changes:
  paleo interpretation metadata: d2H (LS15AIKA01A2): interpretation1_seasonality: 'mainly growing season, with potential addition effects of snowmelt following wet winters' has been replaced by 'Growing Season'
  paleo interpretation metadata: d2H (LS15AIKA01A2): interpretation1_variable: 'Temperature and Precipitation amount' has been replaced by 'temperature'
  paleo interpretation metadata: d2H (LS15AIKA01A2): interpretation2_seasonality: 'annual' has been replaced by 'Annual'
  paleo interpretation metadata: d2H (LS15AIKA01A2): interpretation2_variable: 'P_isotope' has been replaced by 'precipitationIsotope'
  paleo interpretation metadata: d2H (LS15AIKA01A2): interpretation3_seasonality: 'winter' has been replaced by 'Winter'
  paleo interpretation metadata: d2H (LS15AIKA01A2): interpretation3_variable: 'winter snow melting during growing season' has been replaced by 'precipitation'
  paleo interpretation metadata: d2H (LS15AIKA01A2): interpretation4_seasonality: 'summer (June in modern seasonal cycle)' has been replaced by 'Summer'
  paleo interpretation metadata: d2H (LS15AIKA01A2): interpretation4_variable: 'precipitation amount' has been replaced by 'precipitation'
  paleo interpretation metadata: d2H (LS15AIKA01B): interpretation1_seasonality: 'mainly growing season, with potential addition effects of snowmelt following wet winters' has been replaced by 'Growing Season'
  paleo interpretation metadata: d2H (LS15AIKA01B): interpretation1_variable: 'Temperature and Precipitation amount' has been replaced by 'temperature'
  paleo interpretation metadata: d2H (LS15AIKA01B): interpretation2_seasonality: 'annual' has been replaced by 'Annual'
  paleo interpretation metadata: d2H (LS15AIKA01B): interpretation2_variable: 'P_isotope' has been replaced by 'precipitationIsotope'
  paleo interpretation metadata: d2H (LS15AIKA01B): interpretation3_seasonality: 'winter' has been replaced by 'Winter'
  paleo interpretation metadata: d2H (LS15AIKA01B): interpretation3_variable: 'winter snow melting during growing season' has been replaced by 'precipitation'
  paleo interpretation metadata: d2H (LS15AIKA01B): interpretation4_seasonality: 'summer (June in modern seasonal cycle)' has been replaced by 'Summer'
  paleo interpretation metadata: d2H (LS15AIKA01B): interpretation4_variable: 'precipitation amount' has been replaced by 'precipitation'

version: 1.0.2
last version: 1.0.1
curator: nicholas
timestamp: 2025-04-09 19:41:43.647036 UTC
notes: Changes made as part of LiPDverse vocabulary standardization process
changes:
  paleo interpretation metadata: d2H (LS15AIKA01A2): interpretation1_seasonality: 'mainly growing season, with potential addition effects of snowmelt following wet winters' has been replaced by 'Growing Season'
  paleo interpretation metadata: d2H (LS15AIKA01A2): interpretation1_variable: 'Temperature and Precipitation amount' has been replaced by 'temperature'
  paleo interpretation metadata: d2H (LS15AIKA01A2): interpretation2_seasonality: 'annual' has been replaced by 'Annual'
  paleo interpretation metadata: d2H (LS15AIKA01A2): interpretation2_variable: 'P_isotope' has been replaced by 'precipitationIsotope'
  paleo interpretation metadata: d2H (LS15AIKA01A2): interpretation3_seasonality: 'winter' has been replaced by 'Winter'
  paleo interpretation metadata: d2H (LS15AIKA01A2): interpretation3_variable: 'winter snow melting during growing season' has been replaced by 'precipitation'
  paleo interpretation metadata: d2H (LS15AIKA01A2): interpretation4_seasonality: 'summer (June in modern seasonal cycle)' has been replaced by 'Summer'
  paleo interpretation metadata: d2H (LS15AIKA01A2): interpretation4_variable: 'precipitation amount' has been replaced by 'precipitation'
  paleo interpretation metadata: d2H (LS15AIKA01B): interpretation1_seasonality: 'mainly growing season, with potential addition effects of snowmelt following wet winters' has been replaced by 'Growing Season'
  paleo interpretation metadata: d2H (LS15AIKA01B): interpretation1_variable: 'Temperature and Precipitation amount' has been replaced by 'temperature'
  paleo interpretation metadata: d2H (LS15AIKA01B): interpretation2_seasonality: 'annual' has been replaced by 'Annual'
  paleo interpretation metadata: d2H (LS15AIKA01B): interpretation2_variable: 'P_isotope' has been replaced by 'precipitationIsotope'
  paleo interpretation metadata: d2H (LS15AIKA01B): interpretation3_seasonality: 'winter' has been replaced by 'Winter'
  paleo interpretation metadata: d2H (LS15AIKA01B): interpretation3_variable: 'winter snow melting during growing season' has been replaced by 'precipitation'
  paleo interpretation metadata: d2H (LS15AIKA01B): interpretation4_seasonality: 'summer (June in modern seasonal cycle)' has been replaced by 'Summer'
  paleo interpretation metadata: d2H (LS15AIKA01B): interpretation4_variable: 'precipitation amount' has been replaced by 'precipitation'

version: 1.0.1
last version: 1.0.0
curator: nicholas
timestamp: 2025-04-08 17:33:00.323376 UTC
notes: Changes made as part of LiPDverse vocabulary standardization process
changes:
  paleo column metadata: d2H (LS15AIKA01A1): paleoData_longName: '' has been replaced by 'stdev C24'
  paleo column metadata: d2H (LS15AIKA01A2): paleoData_longName: '' has been replaced by 'stdev C24'
  paleo column metadata: d2H (LS15AIKA01B): paleoData_longName: '' has been replaced by 'stdev C24'
  paleo column metadata: year (MAT3be8633483): paleoData_units: 'AD' has been replaced by 'yr AD'
  paleo column metadata: year (MAT3be8633483): paleoData_longName: '' has been replaced by 'stdev C24'
  paleo column metadata: depth (MATa27c44c8f8): paleoData_longName: '' has been replaced by 'stdev C24'
  paleo column metadata: uncertainty1s (NPM147147): paleoData_measurementMaterial: '' has been replaced by 'C24'
  paleo column metadata: uncertainty1s (NPM147147): paleoData_variableName: 'stdev C24' has been replaced by 'uncertainty1s'
  paleo column metadata: uncertainty1s (NPM147147): paleoData_isPrimary: '' has been replaced by 'FALSE'
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  paleo column metadata: uncertainty1s (NPM147147): paleoData_summaryStatistic: '' has been replaced by '1 sigma'
  paleo column metadata: uncertainty1s (NPM147147a): paleoData_measurementMaterial: '' has been replaced by 'C26'
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  paleo column metadata: uncertainty1s (NPM147147a): paleoData_isPrimary: '' has been replaced by 'FALSE'
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  paleo column metadata: uncertainty1s (NPM147147a): paleoData_summaryStatistic: '' has been replaced by '1 sigma'
  paleo column metadata: uncertainty1s (NPM147147b): paleoData_measurementMaterial: '' has been replaced by 'C28'
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  paleo column metadata: uncertainty1s (NPM147147b): paleoData_isPrimary: '' has been replaced by 'FALSE'
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  paleo column metadata: deleteThisColumn (NPM147147c): paleoData_variableName: 'average C26 C28' has been replaced by 'deleteThisColumn'
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  paleo column metadata: deleteThisColumn (NPM147147c): paleoData_summaryStatistic: '' has been replaced by 'average'
  paleo column metadata: uncertainty1s (NPM147147d): paleoData_variableName: 'stdev weighted average' has been replaced by 'uncertainty1s'
  paleo column metadata: uncertainty1s (NPM147147d): paleoData_isPrimary: '' has been replaced by 'FALSE'
  paleo column metadata: uncertainty1s (NPM147147d): paleoData_longName: '' has been replaced by 'stdev C24'
  paleo column metadata: uncertainty1s (NPM147147d): paleoData_summaryStatistic: '' has been replaced by '1 sigma'

Highresolution leaf wax carbon and hydrogen isotopic record of the late Holocene paleoclimate in arid Central Asia
author: Aichner, B. , Feakins, S. J. , Lee, J. E. , Herzschuh, U. , Liu, X.
citation: Aichner, B., Feakins, S. J., Lee, J. E., Herzschuh, U. and Liu, X.: High-resolution leaf wax carbon and hydrogen isotopic record of the late Holocene paleoclimate in arid Central Asia, Climate of the Past, 11(4), 619–633, doi:10.5194/cp-11-619-2015, 2015.
data url: doi.org
doi: 10.5194/cp-11-619-2015
issue: 4
journal: Climate of the Past
page: 619-633
pages: 619633
pub data url: doi.org
publisher: Copernicus GmbH
type: journalarticle
volume: 11
year: 2015

longitude: 75.0572
latitude: 38.4397
elevation: 3650
geometry type: Point
site name: Lake Karakuli