paleo data:
  measurement table:
    table name: paleo1measurement1
    missing value: nan
    depth:
      data type: numeric
      has max: 336
      has max value: 336
      has mean: 146.1991
      has mean value: 146.1991
      has median: 226
      has median value: 141
      has min: 1
      has min value: 1
      is primary: true
      long name: summer
      mean value12k: NA
      measurement table name: measurementTable1
      median res12k: NA
      notes: NA; paleoData_isPrimary has been standardized
      temperature12k uncertainty: NA
      t sid: PYTKL5XENTC
      units: cm
      use in onset: NA
      variable name: depth
      primary age column: false
      has time tsid: PYTVKLPLKAS
      number: 1
      values: 1
      values: 3.5
      values: 6
      values: 8.5
      values: 11
      values: 13.5
      values: 16
      values: 18.5
      values: 21
      values: 23.5
      values: 26
      values: 28.5
      values: 31
      values: 33.5
      values: 36
      values: 38.5
      values: 41
      values: 43.5
      values: 46
      values: 48.5
      values: 51
      values: 53.5
      values: 56
      values: 58.5
      values: 61
      values: 63.5
      values: 66
      values: 68.5
      values: 71
      values: 73.5
      values: 76
      values: 78.5
      values: 81
      values: 83.5
      values: 86
      values: 88.5
      values: 91
      values: 93.5
      values: 96
      values: 98.5
      values: 101
      values: 103.5
      values: 106
      values: 108.5
      values: 111
      values: 113.5
      values: 116
      values: 118.5
      values: 121
      values: 123.5
      values: 126
      values: 128.5
      values: 131
      values: 133.5
      values: 136
      values: 138.5
      values: 141
    age:
      data type: numeric
      datum: 1950
      has max: 18127
      has max value: 18127
      has mean: 6543.6903
      has mean value: 6543.6903
      has median: 2542
      has median value: 4784
      has min: -29
      has min value: 29
      is primary: true
      long name: summer
      mean value12k: NA
      measurement table name: measurementTable1
      median res12k: NA
      notes: NA; paleoData_isPrimary has been standardized; paleoData_datum has been standardized
      temperature12k uncertainty: NA
      t sid: PYTVKLPLKAS
      units: yr BP
      use in onset: NA
      variable name: age
      primary age column: true
      has time tsid: PYTVKLPLKAS
      number: 2
      values: -29
      values: 45
      values: 119
      values: 193
      values: 266
      values: 340
      values: 414
      values: 487
      values: 560
      values: 633
      values: 706
      values: 779
      values: 852
      values: 924
      values: 997
      values: 1069
      values: 1141
      values: 1212
      values: 1284
      values: 1355
      values: 1425
      values: 1496
      values: 1566
      values: 1635
      values: 1705
      values: 1774
      values: 1842
      values: 1911
      values: 1979
      values: 2046
      values: 2115
      values: 2183
      values: 2253
      values: 2323
      values: 2394
      values: 2468
      values: 2542
      values: 2619
      values: 2698
      values: 2780
      values: 2864
      values: 2951
      values: 3042
      values: 3136
      values: 3233
      values: 3335
      values: 3441
      values: 3551
      values: 3666
      values: 3787
      values: 3912
      values: 4043
      values: 4179
      values: 4322
      values: 4470
      values: 4625
    organic matter:
      data type: numeric
      datum: abs
      has max: 9.74
      has max value: 9.74
      has mean: 4.7412
      has mean value: 4.7412
      has median: 4.67
      has median value: 4.67
      has min: 2.11
      has min value: 2.11
      is primary: false
      long name: summer
      mean value12k: 5.1318
      measurement table name: measurementTable1
      median res12k: 102
      most recent compilations: wNAm-0_15_0, HoloceneAbruptChange-0_10_0
      notes: OM
      proxy: TOC
      proxy detail: bulk sediment
      proxy general: biophysical
      proxy lumps: biophysical
      proxy lumps original: TOC
      QC certification: SHA
      q cnotes: Lat/lon updated to four decimals with Google Earth
      temp12k dk index: NA
      t sid: PYTJ5STI3CN
      units: percent
      use in global temperature analysis: TRUE
      use in onset: 1
      variable name: organicMatter
      WN am uncertainty: 1.49
      primary age column: false
      has time tsid: PYTVKLPLKAS
      number: 3
      values: 3.33
      values: 2.72
      values: 3.2
      values: 2.63
      values: 3.08
      values: 2.97
      values: 3.39
      values: 3.38
      values: 5.05
      values: 3.82
      values: 3.37
      values: 3.31
      values: 3.61
      values: 3.99
      values: 4.29
      values: 3.64
      values: 3.12
      values: 3.9
      values: 3.83
      values: 4.67
      values: 4.18
      values: 4.12
      values: 4.66
      values: 4.32
      values: 4.52
      values: 4.72
      values: 3.89
      values: 4.16
      values: 3.7
      values: 4.35
      values: 3.53
      values: 5.17
      values: 4.45
      values: 5.98
      values: 5.5
      values: 5.31
      values: 5.2
      values: 5.29
      values: 5.24
      values: 4.7
      values: 4.24
      values: 4.96
      values: 6.32
      values: 6.47
      values: 6.35
      values: 6.71
ages per kyr: 0.4988
archive type: LakeSediment
created by: matlab
dataset id: Qn6dGDmUsnAGhvyDaZP0
data set name: greyling.Mckay.2009
dataset version: 1.1.1
has depth: 1
lipd complete: 100%
lipdverse link: https://lipdverse.org/data/Qn6dGDmUsnAGhvyDaZP0/1_1_1
max year: 18127
min year: -29
notes: This dataset is from version 2 of the Arctic Holocene Transitions Database, and has been expanded to include an ensemble of chronologies, which are included in this file. This is described in McKay et al., 2018: doi:10.1029/2018GL079773
n unique ages: 7
n unique good ages: 6
n unique other ages: 1
original data url: www.ncdc.noaa.gov/paleo/study/15444
other ages per kyr: 0.0831324299609278
pub: Holocene climate and glacier variability at Hallet and Greyling Lakes, Chugach Mountains, south-central Alaska
lipd version: 1.3

interp direction: NA
scope: climate

has max value: 365
has mean value: 162.1071
has median value: 162.5
has min value: 67

interp direction: NA
scope: climate

has max value: nan
has mean value: nan
has median value: nan
has min value: nan

direction: positive
interp direction: 1
is annual: TRUE
scope: climate
seasonality: Annual
seasonality general: Annual
seasonality original: 1 2 3 4 5 6 7 8 9 10 11 12
variable: ELA
variable detail: glacierExtent
variable group: ELA

direction: positive
scope: climate
seasonality: Summer
variable: temperature

direction: negative
scope: climate
seasonality: Winter
variable: precipitation

has max value: 365
has mean value: 162.1071
has median value: 162.5
has min value: 67

compilation name: wNAm
compilation version: 0_3_0
compilation version: 0_4_0
compilation version: 0_5_0
compilation version: 0_6_0
compilation version: 0_7_0
compilation version: 0_8_0
compilation version: 0_9_0
compilation version: 0_10_0
compilation version: 0_11_0
compilation version: 0_12_0
compilation version: 0_13_0
compilation version: 0_14_0
compilation version: 0_15_0
compilation version: 0_15_1
compilation version: 0_16_0
compilation version: 0_16_1
compilation version: 0_16_2
compilation version: 0_16_3
compilation version: 0_16_4
compilation version: 1_0_0

compilation name: HoloceneAbruptChange
compilation version: 0_4_0
compilation version: 0_5_0
compilation version: 0_6_0
compilation version: 0_7_0
compilation version: 0_8_0
compilation version: 0_9_0
compilation version: 0_10_0
compilation version: 0_11_0

compilation name: RapidArcticWarming
compilation version: 0_1_1
compilation version: 0_2_0
compilation version: 0_3_0
compilation version: 0_4_0
compilation version: 0_5_0
compilation version: 0_5_1
compilation version: 0_5_2
compilation version: 0_5_3
compilation version: 0_6_0
compilation version: 0_7_0

measurement table:
  table name: chron1measurement1
  missing value: nan
  sample ID:
    t sid: PYTZZZ476U8
    data type: numeric
    has max: 41390
    has max value: 41390
    has mean: 33785.625
    has mean value: 33785.625
    has median: 33143.5
    has median value: 33143.5
    has min: 31587
    has min value: 31587
    measurement table name: measurementTable1
    model number: NA
    units: unitless
    variable name: sampleID
    has resolution:
      has max value: nan
      has mean value: nan
      has median value: nan
      has min value: nan
    number: 1
    values: NaN
    values: 33142
    values: 31587
    values: 31588
    values: 33143
    values: 41390
    values: 33144
    values: 33145
    values: 33146
  depth top:
    t sid: PYT4UWNVWR0
    data type: numeric
    has max: 2820
    has max value: 2820
    has mean: 1854.25
    has mean value: 1685.6818
    has median: 2185
    has median value: 1900
    has min: 662.5
    has min value: 0
    measurement table name: measurementTable1
    model number: NA
    units: mm
    variable name: depthTop
    has resolution:
      has max value: nan
      has mean value: nan
      has median value: nan
      has min value: nan
    number: 2
    values: 0
    values: 662.5
    values: 1000
    values: 1300
    values: 1490
    values: 1900
    values: 2070
    values: 2300
    values: 2400
    values: 2600
    values: 2820
  depth bottom:
    t sid: PYT9U10RCC9
    data type: numeric
    has max: 2840
    has max value: 2840
    has mean: 1868.75
    has mean value: 1698.8636
    has median: 2205
    has median value: 1920
    has min: 667.5
    has min value: 0
    measurement table name: measurementTable1
    model number: NA
    units: mm
    variable name: depthBottom
    variable name original: depth_bot
    has resolution:
      has max value: nan
      has mean value: nan
      has median value: nan
      has min value: nan
    number: 3
    values: 0
    values: 667.5
    values: 1020
    values: 1300
    values: 1490
    values: 1920
    values: 2090
    values: 2320
    values: 2420
    values: 2620
    values: 2840
  age14 c:
    t sid: PYT47YRWK9D
    data type: numeric
    has max: 15840
    has max value: 15840
    has mean: 8951.6667
    has mean value: 8951.6667
    has median: 3800
    has median value: 9080
    has min: 3800
    has min value: 3800
    measurement table name: measurementTable1
    model number: NA
    units: yr 14C BP
    variable name: age14C
    has resolution:
      has max value: nan
      has mean value: nan
      has median value: nan
      has min value: nan
    number: 4
    values: NaN
    values: 3975
    values: 3800
    values: 4435
    values: 8115
    values: 9080
    values: 11350
    values: 11140
    values: 15840
    values: 12830
  age14 c uncertainty1s:
    t sid: PYTXRTPMUE4
    data type: numeric
    has max: 1660
    has max value: 1660
    has mean: 332.2222
    has mean value: 301.4
    has median: 1660
    has median value: 150
    has min: 60
    has min value: 24
    measurement table name: measurementTable1
    model number: NA
    units: yr 14C BP
    variable name: age14C_uncertainty1s
    variable name original: age_error
    has resolution:
      has max value: nan
      has mean value: nan
      has median value: nan
      has min value: nan
    number: 5
    values: NaN
    values: 150
    values: 70
    values: 60
    values: 160
    values: 80
    values: 500
    values: 1660
  age:
    t sid: PYTYWIIDBN3
    data type: numeric
    has max: 19085
    has max value: 19085
    has mean: 8658.7273
    has mean value: 8658.7273
    has median: 19085
    has median value: 9030
    has min: -56
    has min value: 56
    measurement table name: measurementTable1
    model number: NA
    units: yr BP
    variable name: age
    has resolution:
      has max value: nan
      has mean value: nan
      has median value: nan
      has min value: nan
    number: 6
    values: -56
    values: 1926
    values: 5010
    values: 4465
    values: 4190
    values: 9030
    values: 10240
    values: 13225
    values: 13046
    values: 19085
    values: 15085
  depth:
    t sid: PYTLHSSNQC2
    data type: numeric
    has max: 283
    has max value: 283
    has mean: 186.15
    has mean value: 169.2273
    has median: 219.5
    has median value: 191
    has min: 66.5
    has min value: 0
    measurement table name: measurementTable1
    model number: NA
    units: cm
    variable name: depth
    number: 7
    values: 0
    values: 66.5
    values: 101
    values: 130
    values: 149
    values: 191
    values: 208
    values: 231
    values: 241
    values: 261
    values: 283

has max value: nan
has mean value: nan
has median value: nan
has min value: nan

t sid: PYT4L5XL1JH
data type: numeric
has max: 20
has max value: 20
has mean: 18.125
has mean value: 13.1818
has median: 20
has median value: 20
has min: 5
has min value: 0
measurement table name: measurementTable1
model number: NA
units: mm
variable name: thickness
has resolution:
  has max value: nan
  has mean value: nan
  has median value: nan
  has min value: nan
number: 8
values: 0
values: 5
values: 20

t sid: PYTQNPLT371
data type: string
has max: 3
has max value: 3
has mean: 1.2727
has mean value: 1.2727
has median: 1
has median value: 1
has min: 1
has min value: 1
measurement table name: measurementTable1
model number: NA
units: unitless
variable name: ageType
has resolution:
  has max value: nan
  has mean value: nan
  has median value: nan
  has min value: nan
number: 9
values: Core top
values: tephra
values: age14C

t sid: PYTVP8EYHOR
data type: string
has max: 2
has max value: 2
has mean: 1.2222
has mean value: 1.2222
has median: 1
has median value: 1
has min: 1
has min value: 1
measurement table name: measurementTable1
model number: NA
units: unitless
variable name: material_dated
has resolution:
  has max value: nan
  has mean value: nan
  has median value: nan
  has min value: nan
number: 10
values: NaN
values: 1
values: 2

t sid: PYTVQS3SCON
data type: string
has max: 1
has max value: 1
has mean: 1
has mean value: 1
has median: 1
has median value: 1
has min: 1
has min value: 1
measurement table name: measurementTable1
model number: NA
units: unitless
variable name: rejected
has resolution:
  has max value: nan
  has mean value: nan
  has median value: nan
  has min value: nan
number: 11
values: NaN
values: TRUE

t sid: PYTKYXUE3EV
data type: string
has max: 3
has max value: 3
has mean: 2
has mean value: 2
has median: 2
has median value: 2
has min: 1
has min value: 1
measurement table name: measurementTable1
model number: NA
units: unitless
variable name: note
has resolution:
  has max value: nan
  has mean value: nan
  has median value: nan
  has min value: nan
number: 12
values: 3
values: NaN
values: 2
values: 1

number: 13
variable name: uncertainty1s
units: yr BP
t sid: WEB-25b9b-ce37-4f5b-bf95-335b3
has mean: 274.9091
has median: 1660
has max: 1660
has min: 10
values: 10
values: 24
values: 150
values: 70
values: 60
values: 160
values: 80
values: 500
values: 1660

methods:
  parameters:
    d.min: 0
    d.max: 336
    d.by: 1
    depths.file: 0
    acc.mean: 45.53357
    acc.shape: 1.5
    mem.mean: 0.5
    mem.strength: 10
    boundary: NA
    hiatus.depths: NA
    hiatus.max: 10000
    BCAD: 0
    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: 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
  age.range low:
    variable name: age.rangeLow
    units: yr BP
    description: low end of the uncertainty range
    uncertainty level: 2.5%
    number: 2
    values: -58
    values: -51
    values: -47
    values: -40
    values: -25
    values: -18
    values: 0
    values: 18
    values: 29
    values: 50
    values: 67
    values: 83
    values: 106
    values: 127
    values: 140
    values: 167
    values: 189
    values: 206
    values: 233
    values: 259
    values: 280
    values: 304
    values: 328
    values: 352
    values: 382
    values: 401
    values: 428
    values: 462
    values: 482
    values: 511
    values: 535
    values: 557
    values: 586
    values: 616
    values: 635
    values: 670
    values: 694
    values: 720
    values: 755
    values: 790
    values: 823
    values: 852
    values: 879
    values: 908
    values: 942
    values: 964
    values: 1005
    values: 1038
    values: 1066
    values: 1104
    values: 1134
    values: 1175
    values: 1205
    values: 1234
    values: 1263
    values: 1297
    values: 1330
    values: 1365
    values: 1421
    values: 1466
    values: 1506
    values: 1548
    values: 1574
    values: 1643
    values: 1716
    values: 1748
    values: 1831
    values: 1878
    values: 1899
    values: 1929
    values: 1942
    values: 1958
    values: 1983
    values: 1997
    values: 2021
  age.range high:
    variable name: age.rangeHigh
    units: yr BP
    description: high end of the uncertainty range
    uncertainty level: 97.5%
    number: 3
    values: -33
    values: 53
    values: 153
    values: 241
    values: 275
    values: 322
    values: 368
    values: 405
    values: 462
    values: 511
    values: 550
    values: 591
    values: 627
    values: 652
    values: 691
    values: 717
    values: 751
    values: 786
    values: 814
    values: 857
    values: 895
    values: 927
    values: 963
    values: 999
    values: 1027
    values: 1069
    values: 1103
    values: 1122
    values: 1150
    values: 1173
    values: 1198
    values: 1234
    values: 1258
    values: 1284
    values: 1321
    values: 1340
    values: 1363
    values: 1393
    values: 1415
    values: 1442
    values: 1466
    values: 1491
    values: 1516
    values: 1537
    values: 1563
    values: 1593
    values: 1618
    values: 1641
    values: 1668
    values: 1686
    values: 1699
    values: 1725
    values: 1741
    values: 1764
    values: 1783
    values: 1800
    values: 1820
    values: 1835
    values: 1852
    values: 1875
    values: 1896
    values: 1909
    values: 1928
    values: 1943
    values: 1957
    values: 1975
    values: 1990
    values: 2017
    values: 2087
    values: 2135
    values: 2221
    values: 2310
    values: 2356
    values: 2424
    values: 2481

variable name: age
units: yr BP
description: weighted mean age estimate
number: 4
values: -49
values: -16
values: 18
values: 51
values: 81
values: 111
values: 142
values: 174
values: 206
values: 236
values: 265
values: 293
values: 323
values: 352
values: 381
values: 411
values: 441
values: 471
values: 501
values: 531
values: 561
values: 590
values: 620
values: 650
values: 681
values: 713
values: 744
values: 773
values: 803
values: 832
values: 860
values: 889
values: 917
values: 945
values: 974
values: 1002
values: 1030
values: 1059
values: 1088
values: 1118
values: 1147
values: 1176
values: 1204
values: 1234
values: 1265
values: 1295
values: 1325
values: 1353
values: 1382
values: 1411
values: 1440
values: 1469
values: 1497
values: 1524
values: 1552
values: 1580
values: 1609
values: 1638
values: 1669
values: 1700
values: 1730
values: 1760
values: 1789
values: 1819
values: 1850
values: 1880
values: 1912
values: 1944
values: 1977
values: 2014
values: 2052
values: 2089
values: 2127
values: 2164
values: 2201
values: 2238

depth: 0
depth.units: cm
table name: chron1model1distribution1
age:
  units: yr BP
  variable name: age
  number: 1
  values: -87.1111
  values: -86.303
  values: -85.4949
  values: -84.6869
  values: -83.8788
  values: -83.0707
  values: -82.2626
  values: -81.4545
  values: -80.6465
  values: -79.8384
  values: -79.0303
  values: -78.2222
  values: -77.4141
  values: -76.6061
  values: -75.798
  values: -74.9899
  values: -74.1818
  values: -73.3737
  values: -72.5657
  values: -71.7576
  values: -70.9495
  values: -70.1414
  values: -69.3333
  values: -68.5253
  values: -67.7172
  values: -66.9091
  values: -66.101
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  values: -64.4848
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  values: -52.3636
  values: -51.5556
  values: -50.7475
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  values: -49.1313
  values: -48.3232
  values: -47.5152
  values: -46.7071
  values: -45.899
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  values: -44.2828
  values: -43.4747
  values: -42.6667
  values: -41.8586
  values: -41.0505
  values: -40.2424
  values: -39.4343
  values: -38.6263
  values: -37.8182
  values: -37.0101
  values: -36.202
  values: -35.3939
  values: -34.5859
  values: -33.7778
  values: -32.9697
  values: -32.1616
  values: -31.3535
  values: -30.5455
  values: -29.7374
  values: -28.9293
  values: -28.1212
  values: -27.3131
  values: -26.5051
  values: -25.697
probability density:
  variable name: probabilityDensity
  number: 2
  values: 0.0004
  values: 0.0005
  values: 0.0006
  values: 0.0007
  values: 0.0008
  values: 0.001
  values: 0.0012
  values: 0.0015
  values: 0.0018
  values: 0.0022
  values: 0.0026
  values: 0.003
  values: 0.0036
  values: 0.0042
  values: 0.0048
  values: 0.0056
  values: 0.0065
  values: 0.0074
  values: 0.0084
  values: 0.0095
  values: 0.0107
  values: 0.012
  values: 0.0133
  values: 0.0147
  values: 0.0162
  values: 0.0177
  values: 0.0192
  values: 0.0207
  values: 0.0222
  values: 0.0237
  values: 0.0251
  values: 0.0264
  values: 0.0276
  values: 0.0287
  values: 0.0297
  values: 0.0304
  values: 0.031
  values: 0.0314
  values: 0.0316

depth: 66.5
depth.units: cm
table name: chron1model1distribution2
age:
  units: yr BP
  variable name: age
  number: 1
  values: 1851.3333
  values: 1853.2727
  values: 1855.2121
  values: 1857.1515
  values: 1859.0909
  values: 1861.0303
  values: 1862.9697
  values: 1864.9091
  values: 1866.8485
  values: 1868.7879
  values: 1870.7273
  values: 1872.6667
  values: 1874.6061
  values: 1876.5455
  values: 1878.4848
  values: 1880.4242
  values: 1882.3636
  values: 1884.303
  values: 1886.2424
  values: 1888.1818
  values: 1890.1212
  values: 1892.0606
  values: 1894
  values: 1895.9394
  values: 1897.8788
  values: 1899.8182
  values: 1901.7576
  values: 1903.697
  values: 1905.6364
  values: 1907.5758
  values: 1909.5152
  values: 1911.4545
  values: 1913.3939
  values: 1915.3333
  values: 1917.2727
  values: 1919.2121
  values: 1921.1515
  values: 1923.0909
  values: 1925.0303
  values: 1926.9697
  values: 1928.9091
  values: 1930.8485
  values: 1932.7879
  values: 1934.7273
  values: 1936.6667
  values: 1938.6061
  values: 1940.5455
  values: 1942.4848
  values: 1944.4242
  values: 1946.3636
  values: 1948.303
  values: 1950.2424
  values: 1952.1818
  values: 1954.1212
  values: 1956.0606
  values: 1958
  values: 1959.9394
  values: 1961.8788
  values: 1963.8182
  values: 1965.7576
  values: 1967.697
  values: 1969.6364
  values: 1971.5758
  values: 1973.5152
  values: 1975.4545
  values: 1977.3939
  values: 1979.3333
  values: 1981.2727
  values: 1983.2121
  values: 1985.1515
  values: 1987.0909
  values: 1989.0303
  values: 1990.9697
  values: 1992.9091
  values: 1994.8485
  values: 1996.7879
  values: 1998.7273
probability density:
  variable name: probabilityDensity
  number: 2
  values: 0.0004
  values: 0.0005
  values: 0.0006
  values: 0.0007
  values: 0.0008
  values: 0.001
  values: 0.0012
  values: 0.0015
  values: 0.0018
  values: 0.0022
  values: 0.0026
  values: 0.003
  values: 0.0036
  values: 0.0042
  values: 0.0048
  values: 0.0056
  values: 0.0065
  values: 0.0074
  values: 0.0084
  values: 0.0095
  values: 0.0107
  values: 0.012
  values: 0.0133
  values: 0.0147
  values: 0.0162
  values: 0.0177
  values: 0.0192
  values: 0.0207
  values: 0.0222
  values: 0.0237
  values: 0.0251
  values: 0.0264
  values: 0.0276
  values: 0.0287
  values: 0.0297
  values: 0.0304
  values: 0.031
  values: 0.0314
  values: 0.0316

depth: 130
depth.units: cm
table name: chron1model1distribution3
age:
  units: yr BP
  variable name: age
  number: 1
  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
  values: 3725
  values: 3726
  values: 3727
  values: 3728
  values: 3729
  values: 3730
  values: 3731
  values: 3732
  values: 3733
  values: 3734
  values: 3735
  values: 3736
  values: 3737
  values: 3738
  values: 3739
  values: 3740
  values: 3741
  values: 3742
  values: 3743
  values: 3744
  values: 3745
  values: 3746
  values: 3747
  values: 3748
  values: 3749
  values: 3750
  values: 3751
  values: 3752
  values: 3753
  values: 3754
  values: 3755
  values: 3756
  values: 3757
  values: 3758
  values: 3759
  values: 3760
  values: 3761
  values: 3762
  values: 3763
  values: 3764
  values: 3765
  values: 3766
  values: 3767
  values: 3768
  values: 3769
  values: 3770
  values: 3771
  values: 3772
  values: 3773
  values: 3774
  values: 3775
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
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  values: 0.001
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  values: 0.0014
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  values: 0.0016
  values: 0.0017
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  values: 0.0021
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  values: 0.0024
  values: 0.0025
  values: 0.0026
  values: 0.0027
  values: 0.0028
  values: 0.0029
  values: 0.003
  values: 0.0031

depth: 149
depth.units: cm
table name: chron1model1distribution4
age:
  units: yr BP
  variable name: age
  number: 1
  values: 4089
  values: 4090
  values: 4091
  values: 4092
  values: 4093
  values: 4094
  values: 4095
  values: 4096
  values: 4097
  values: 4098
  values: 4099
  values: 4100
  values: 4101
  values: 4102
  values: 4103
  values: 4104
  values: 4105
  values: 4106
  values: 4107
  values: 4108
  values: 4109
  values: 4110
  values: 4111
  values: 4112
  values: 4113
  values: 4114
  values: 4115
  values: 4116
  values: 4117
  values: 4118
  values: 4119
  values: 4120
  values: 4121
  values: 4122
  values: 4123
  values: 4124
  values: 4125
  values: 4126
  values: 4127
  values: 4128
  values: 4129
  values: 4130
  values: 4131
  values: 4132
  values: 4133
  values: 4134
  values: 4135
  values: 4136
  values: 4137
  values: 4138
  values: 4139
  values: 4140
  values: 4141
  values: 4142
  values: 4143
  values: 4144
  values: 4145
  values: 4146
  values: 4147
  values: 4148
  values: 4149
  values: 4150
  values: 4151
  values: 4152
  values: 4153
  values: 4154
  values: 4155
  values: 4156
  values: 4157
  values: 4158
  values: 4159
  values: 4160
  values: 4161
  values: 4162
  values: 4163
  values: 4164
  values: 4165
probability density:
  variable name: probabilityDensity
  number: 2
  values: 0
  values: 0.0001
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  values: 0.003
  values: 0.0031

depth: 191
depth.units: cm
table name: chron1model1distribution5
age:
  units: yr BP
  variable name: age
  number: 1
  values: 8595
  values: 8600
  values: 8605
  values: 8610
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  values: 8635
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  values: 8645
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  values: 8670
  values: 8675
  values: 8680
  values: 8685
  values: 8690
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  values: 8700
  values: 8705
  values: 8710
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  values: 8730
  values: 8735
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  values: 8745
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  values: 8755
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  values: 8765
  values: 8770
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  values: 8780
  values: 8785
  values: 8790
  values: 8795
  values: 8800
  values: 8805
  values: 8810
  values: 8815
  values: 8820
  values: 8825
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  values: 8835
  values: 8840
  values: 8845
  values: 8850
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  values: 8865
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  values: 8895
  values: 8900
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  values: 8930
  values: 8935
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  values: 8955
  values: 8960
  values: 8965
  values: 8970
  values: 8975
probability density:
  variable name: probabilityDensity
  number: 2
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  values: 0.0106
  values: 0.0086
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  values: 0.0043
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  values: 0.0044

depth: 208
depth.units: cm
table name: chron1model1distribution6
age:
  units: yr BP
  variable name: age
  number: 1
  values: 9320
  values: 9325
  values: 9330
  values: 9335
  values: 9340
  values: 9345
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  values: 9370
  values: 9375
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  values: 9410
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  values: 9485
  values: 9490
  values: 9495
  values: 9500
  values: 9505
  values: 9510
  values: 9515
  values: 9520
  values: 9525
  values: 9530
  values: 9535
  values: 9540
  values: 9545
  values: 9550
  values: 9555
  values: 9560
  values: 9565
  values: 9570
  values: 9575
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  values: 9585
  values: 9590
  values: 9595
  values: 9600
  values: 9605
  values: 9610
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  values: 9630
  values: 9635
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  values: 9655
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  values: 9665
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  values: 9675
  values: 9680
  values: 9685
  values: 9690
  values: 9695
  values: 9700
probability density:
  variable name: probabilityDensity
  number: 2
  values: 0.0001
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  values: 0.0006
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  values: 0.002
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  values: 0.0046
  values: 0.0047
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  values: 0.0078
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  values: 0.0067
  values: 0.0062
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  values: 0.0054
  values: 0.0037
  values: 0.0033
  values: 0.0032
  values: 0.0034
  values: 0.0036
  values: 0.0017

depth: 231
depth.units: cm
table name: chron1model1distribution7
age:
  units: yr BP
  variable name: age
  number: 1
  values: 12840
  values: 12845
  values: 12850
  values: 12855
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  values: 12875
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  values: 12890
  values: 12895
  values: 12900
  values: 12905
  values: 12910
  values: 12915
  values: 12920
  values: 12925
  values: 12930
  values: 12935
  values: 12940
  values: 12945
  values: 12950
  values: 12955
  values: 12960
  values: 12965
  values: 12970
  values: 12975
  values: 12980
  values: 12985
  values: 12990
  values: 12995
  values: 13000
  values: 13005
  values: 13010
  values: 13015
  values: 13020
  values: 13025
  values: 13030
  values: 13035
  values: 13040
  values: 13045
  values: 13050
  values: 13055
  values: 13060
  values: 13065
  values: 13070
  values: 13075
  values: 13080
  values: 13085
  values: 13090
  values: 13095
  values: 13100
  values: 13105
  values: 13110
  values: 13115
  values: 13120
  values: 13125
  values: 13130
  values: 13135
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  values: 13150
  values: 13155
  values: 13160
  values: 13165
  values: 13170
  values: 13175
  values: 13180
  values: 13185
  values: 13190
  values: 13195
  values: 13200
  values: 13205
  values: 13210
  values: 13215
  values: 13220
probability density:
  variable name: probabilityDensity
  number: 2
  values: 0.0002
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  values: 0.0063
  values: 0.0072
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  values: 0.0201
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  values: 0.0217
  values: 0.0215
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  values: 0.0194
  values: 0.0173
  values: 0.015
  values: 0.0128
  values: 0.0093
  values: 0.0089
  values: 0.0082
  values: 0.0074
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  values: 0.0036
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  values: 0.0025
  values: 0.0021
  values: 0.0018
  values: 0.0015
  values: 0.0014

depth: 241
depth.units: cm
table name: chron1model1distribution8
age:
  units: yr BP
  variable name: age
  number: 1
  values: 12195
  values: 12200
  values: 12205
  values: 12210
  values: 12215
  values: 12220
  values: 12225
  values: 12230
  values: 12235
  values: 12240
  values: 12245
  values: 12250
  values: 12255
  values: 12260
  values: 12265
  values: 12270
  values: 12275
  values: 12280
  values: 12285
  values: 12290
  values: 12295
  values: 12300
  values: 12305
  values: 12310
  values: 12315
  values: 12320
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  values: 12335
  values: 12340
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  values: 12355
  values: 12360
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  values: 12370
  values: 12375
  values: 12380
  values: 12385
  values: 12390
  values: 12395
  values: 12400
  values: 12405
  values: 12410
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  values: 12420
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  values: 12435
  values: 12440
  values: 12445
  values: 12450
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  values: 12465
  values: 12470
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  values: 12485
  values: 12490
  values: 12495
  values: 12500
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  values: 12520
  values: 12525
  values: 12530
  values: 12535
  values: 12540
  values: 12545
  values: 12550
  values: 12555
  values: 12560
  values: 12565
  values: 12570
  values: 12575
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: 0.0016
  values: 0.0019
  values: 0.0022
  values: 0.0025
  values: 0.0029
  values: 0.0034
  values: 0.0041
  values: 0.0048
  values: 0.0051
  values: 0.0052
  values: 0.005
  values: 0.0054
  values: 0.0058
  values: 0.0064
  values: 0.007
  values: 0.0076
  values: 0.0079
  values: 0.0077
  values: 0.0073
  values: 0.0069
  values: 0.008
  values: 0.0083
  values: 0.0086
  values: 0.0089
  values: 0.0091
  values: 0.0092
  values: 0.0095
  values: 0.0097
  values: 0.0099
  values: 0.0098
  values: 0.0096
  values: 0.01
  values: 0.0102
  values: 0.0103
  values: 0.0104
  values: 0.0105
  values: 0.0101
  values: 0.0106
  values: 0.0109
  values: 0.0111
  values: 0.0112
  values: 0.0114
  values: 0.0113
  values: 0.0093
  values: 0.0078
  values: 0.0071
  values: 0.0065
  values: 0.006
  values: 0.0057
  values: 0.0056
  values: 0.0059
  values: 0.0061
  values: 0.0066
  values: 0.0062
  values: 0.0053
  values: 0.0049
  values: 0.0046
  values: 0.0044
  values: 0.0045
  values: 0.0047
  values: 0.0043
  values: 0.0039
  values: 0.0031
  values: 0.0028
  values: 0.0026
  values: 0.0024

depth: 283
depth.units: cm
table name: chron1model1distribution9
age:
  units: yr BP
  variable name: age
  number: 1
  values: 5765
  values: 5770
  values: 5775
  values: 5780
  values: 5785
  values: 5790
  values: 5795
  values: 5800
  values: 5805
  values: 5810
  values: 5815
  values: 5820
  values: 5825
  values: 5830
  values: 5835
  values: 5840
  values: 5845
  values: 5850
  values: 5855
  values: 5860
  values: 5865
  values: 5870
  values: 5875
  values: 5880
  values: 5885
  values: 5890
  values: 5895
  values: 5900
  values: 5905
  values: 5910
  values: 5915
  values: 5920
  values: 5925
  values: 5930
  values: 5935
  values: 5940
  values: 5945
  values: 5950
  values: 5955
  values: 5960
  values: 5965
  values: 5970
  values: 5975
  values: 5980
  values: 5985
  values: 5990
  values: 5995
  values: 6000
  values: 6005
  values: 6010
  values: 6015
  values: 6020
  values: 6025
  values: 6030
  values: 6035
  values: 6040
  values: 6045
  values: 6050
  values: 6055
  values: 6060
  values: 6065
  values: 6070
  values: 6075
  values: 6080
  values: 6085
  values: 6090
  values: 6095
  values: 6100
  values: 6105
  values: 6110
  values: 6115
  values: 6120
  values: 6125
  values: 6130
  values: 6135
  values: 6140
  values: 6145
probability density:
  variable name: probabilityDensity
  number: 2
  values: 0
  values: 9.9648e-06
  values: 9.9124e-06
  values: 9.9386e-06
  values: 9.9845e-06
  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

version: 1.1.1
last version: 1.1.0
curator: nicholas
timestamp: 2025-06-12 21:36:29.66051 UTC
changes:
  paleo column metadata: organicMatter (PYTJ5STI3CN): paleoData_isPrimary: '' has been replaced by 'FALSE'
  paleo column metadata: organicMatter (PYTJ5STI3CN): paleoData_primaryAgeColumn: '' has been replaced by 'FALSE'
  paleo column metadata: depth (PYTKL5XENTC): paleoData_primaryAgeColumn: '' has been replaced by 'FALSE'
  paleo column metadata: age (PYTVKLPLKAS): paleoData_primaryAgeColumn: '' has been replaced by 'TRUE'

version: 1.1.0
last version: 1.0.11
curator: nicholas
timestamp: 2025-06-12 19:34:43.988194 UTC
notes: Updated lipdverse database entry with a changed file.
changes:
  chron data table: Column 'WEB-25b9b-ce37-4f5b-bf95-335b3', with variable name 'uncertainty1s', was added to the dataset
  chron data table: Column 'greyling.Mckay.2009-chron-NA1', with variable name 'depth', was added to the dataset
  chron data table: Column 'greyling.Mckay.2009-chron-NA2', with variable name 'age.rangeLow', was added to the dataset
  chron data table: Column 'greyling.Mckay.2009-chron-NA3', with variable name 'age.rangeHigh', was added to the dataset
  chron data table: Column 'greyling.Mckay.2009-chron-NA4', with variable name 'age', was added to the dataset
  chron data table: Column 'greyling.Mckay.2009-chron-NA5', with variable name 'depth', was added to the dataset
  chron data table: Column 'greyling.Mckay.2009-chron-NA6', with variable name 'ageEnsemble', was added to the dataset
  chron column metadata: age14C (PYT47YRWK9D): chronData_units: 'bp' has been replaced by 'yr 14C BP'
  chron column metadata: depthTop (PYT4UWNVWR0): chronData_variableName: 'depth_top' has been replaced by 'depthTop'
  chron column metadata: depthBottom (PYT9U10RCC9): chronData_variableName: 'depth_bottom' has been replaced by 'depthBottom'
  chron column metadata: ageType (PYTQNPLT371): chronData_variableName: 'age_type' has been replaced by 'ageType'
  chron column metadata: rejected (PYTVQS3SCON): chronData_variableName: 'rejected_dates' has been replaced by 'rejected'
  chron column metadata: age14C_uncertainty1s (PYTXRTPMUE4): chronData_units: '1_s' has been replaced by 'yr 14C BP'
  chron column metadata: age14C_uncertainty1s (PYTXRTPMUE4): chronData_variableName: 'SD' has been replaced by 'age14C_uncertainty1s'
  chron column metadata: age (PYTYWIIDBN3): chronData_units: 'bp' has been replaced by 'yr BP'
  chron column metadata: sampleID (PYTZZZ476U8): chronData_variableName: 'lab_id' has been replaced by 'sampleID'
  chron data values: rejected (PYTVQS3SCON): The size of the chronData_values have changed, from 11 to 11 entries.
  chron data values: age14C_uncertainty1s (PYTXRTPMUE4): The size of the chronData_values have changed, from 11 to 11 entries.

version: 1.0.11
last version: 1.0.10
curator: nicholas
timestamp: 2025-04-09 20:56:48.503464 UTC
notes: Updated lipdverse database entry with a changed file.
changes:
  paleo interpretation metadata: organicMatter (PYTJ5STI3CN): interpretation2_seasonality: 'summer' has been replaced by 'Summer'
  paleo interpretation metadata: organicMatter (PYTJ5STI3CN): interpretation3_seasonality: 'winter' has been replaced by 'Winter'
  paleo column metadata: organicMatter (PYTJ5STI3CN): paleoData_longName: '' has been replaced by 'summer'
  paleo column metadata: depth (PYTKL5XENTC): paleoData_longName: '' has been replaced by 'summer'
  paleo column metadata: age (PYTVKLPLKAS): paleoData_longName: '' has been replaced by 'summer'

version: 1.0.10
last version: 1.0.9
curator: nicholas
timestamp: 2025-04-09 17:39:46.887782 UTC
notes: Changes made as part of LiPDverse vocabulary standardization process
changes:
  paleo interpretation metadata: organicMatter (PYTJ5STI3CN): interpretation2_seasonality: 'summer' has been replaced by 'Summer'
  paleo interpretation metadata: organicMatter (PYTJ5STI3CN): interpretation3_seasonality: 'winter' has been replaced by 'Winter'
  paleo column metadata: organicMatter (PYTJ5STI3CN): paleoData_longName: '' has been replaced by 'summer'
  paleo column metadata: depth (PYTKL5XENTC): paleoData_longName: '' has been replaced by 'summer'
  paleo column metadata: age (PYTVKLPLKAS): paleoData_longName: '' has been replaced by 'summer'

version: 1.0.9
last version: 1.0.8
curator: nicholas
timestamp: 2023-05-26 19:22:53 UTC
changes:
  paleo interpretation metadata: organicMatter (PYTJ5STI3CN): interpretation1_direction: 'negative' has been replaced by 'positive'
  paleo interpretation metadata: organicMatter (PYTJ5STI3CN): interpretation1_seasonalityGeneral: 'annual' has been replaced by 'Annual'
  paleo interpretation metadata: organicMatter (PYTJ5STI3CN): interpretation1_seasonality: '' has been replaced by 'Annual'
  paleo interpretation metadata: depth (PYTKL5XENTC): interpretation1_scope: '' has been replaced by 'climate'
  paleo interpretation metadata: age (PYTVKLPLKAS): interpretation1_scope: '' has been replaced by 'climate'

version: 1.0.8
last version: 1.0.7
curator: nicholas
timestamp: 2023-05-25 18:33:03 UTC
notes: Updated lipdverse database entry with a changed file.
changes:
  geographic metadata: geo_elevation: '1015' has been replaced by ''
  paleo interpretation metadata: organicMatter (PYTJ5STI3CN): interpretation2_direction: '' has been replaced by 'positive'
  paleo interpretation metadata: organicMatter (PYTJ5STI3CN): interpretation2_scope: '' has been replaced by 'climate'
  paleo interpretation metadata: organicMatter (PYTJ5STI3CN): interpretation2_seasonality: '' has been replaced by 'summer'
  paleo interpretation metadata: organicMatter (PYTJ5STI3CN): interpretation2_variable: '' has been replaced by 'temperature'
  paleo interpretation metadata: organicMatter (PYTJ5STI3CN): interpretation3_direction: '' has been replaced by 'negative'
  paleo interpretation metadata: organicMatter (PYTJ5STI3CN): interpretation3_scope: '' has been replaced by 'climate'
  paleo interpretation metadata: organicMatter (PYTJ5STI3CN): interpretation3_seasonality: '' has been replaced by 'winter'
  paleo interpretation metadata: organicMatter (PYTJ5STI3CN): interpretation3_variable: '' has been replaced by 'precipitation'

version: 1.0.7
last version: 1.0.6
curator: nicholas
timestamp: 2023-02-09 15:43:52 UTC
notes: Updated lipdverse database entry with a changed file.
changes:
  paleo column metadata: organicMatter (PYTJ5STI3CN): paleoData_variableName: 'organic' has been replaced by 'organicMatter'
  paleo column metadata: depth (PYTKL5XENTC): paleoData_notes: '' has been replaced by 'NA; paleoData_isPrimary has been standardized'
  paleo column metadata: depth (PYTKL5XENTC): paleoData_isPrimary: '' has been replaced by 'TRUE'
  paleo column metadata: age (PYTVKLPLKAS): paleoData_datum: '' has been replaced by '1950'
  paleo column metadata: age (PYTVKLPLKAS): paleoData_notes: '' has been replaced by 'NA; paleoData_isPrimary has been standardized; paleoData_datum has been standardized'
  paleo column metadata: age (PYTVKLPLKAS): paleoData_units: 'BP' has been replaced by 'yr BP'
  paleo column metadata: age (PYTVKLPLKAS): paleoData_isPrimary: '' has been replaced by 'TRUE'

version: 1.0.6
last version: 1.0.5
curator: nicholas
timestamp: 2022-09-21 01:22:29 UTC
changes:
  publication metadata: pub1_volume: '41' has been replaced by ''

version: 1.0.5
last version: 1.0.4
curator: nicholas
timestamp: 2022-07-28 17:32:00 UTC
changes:
  publication metadata: pub1_doi: '10.1007/s10933-008-9260-0' has been replaced by ''
  geographic metadata: geo_elevation: '1015' has been replaced by ''

version: 1.0.4
last version: 1.0.3
curator: nicholas
timestamp: 2022-05-18 00:26:14 UTC
changes:
  paleo column metadata: organic (PYTJ5STI3CN): paleoData_mostRecentCompilations: '' has been replaced by 'wNAm-0_15_0, HoloceneAbruptChange-0_10_0'

version: 1.0.3
last version: 1.0.2
curator: nick
timestamp: 2021-04-13 02:32:41 UTC
changes:
  paleo interpretation metadata: organic (PYTJ5STI3CN): interpretation1_seasonality: 'annual' has been replaced by ''

version: 1.0.2
last version: 1.0.1
curator: nick
timestamp: 2021-03-17 01:53:40 UTC
changes:
  publication metadata: pub1_author: 'list(list(name = "McKay, Nicholas P."), list(name = "Kaufman, Darrell S."))' has been replaced by 'McKay, Nicholas P.'

changes:
  geographic metadata: geo_siteName: 'greyling' has been replaced by 'Greyling'
curator: nick
last version: 1.0.0
timestamp: 2021-01-18 21:38:26 UTC
version: 1.0.1

changes:
  setup: Changelog created
curator: nick
notes: This marks the creation of the changelog, and marks the status of this dataset as of mid 2020
timestamp: 2020-08-21 15:36:32 UTC
version: 1.0.0

Holocene climate and glacier variability at Hallet and Greyling Lakes, Chugach Mountains, south-central Alaska
author:
  name: McKay, Nicholas P.
cite key: ZSXLAE3M
first author: Mckay
issue: 1
journal: Journal of Paleolimnology
page: 143-159
pages: 143 159
pub data url: doi.org
publisher: Springer Science and Business Media LLC
type: article-journal
year: 2008

longitude: -145.737
latitude: 61.3813
elevation: NA
geometry type: Point
AHT: Alaska and Yukon
gcmd location: North America>United States Of America>Alaska
site name: Greyling
sub region: WNA