paleo data:
  measurement table:
    table name: paleo1measurement1
    missing value: nan
    depth:
      data type: numeric
      has max: 9980
      has max value: 9980
      has mean: 9070.1316
      has mean value: 9070.1316
      has median: 9260
      has median value: 9260
      has min: 8010
      has min value: 8010
      is primary: true
      mean value12k: NA
      measurement table name: measurementTable1
      median res12k: NA
      notes: NA; paleoData_isPrimary has been standardized
      temp12k dk index: NA
      temperature12k uncertainty: NA
      t sid: PYTO5UYCOI8
      units: mm
      use in onset: NA
      variable name: depth
      primary age column: false
      has time tsid: PYTGCOHY4U7
      values: 8010
      values: 8020
      values: 8030
      values: 8040
      values: 8050
      values: 8060
      values: 8070
      values: 8080
      values: 8100
      values: 8120
      values: 8160
      values: 8190
      values: 8230
      values: 8270
      values: 8310
      values: 8350
      values: 8390
      values: 8430
      values: 8470
      values: 8510
      values: 8550
      values: 8590
      values: 8630
      values: 8670
      values: 8710
      values: 8750
      values: 8790
      values: 8830
      values: 8870
      values: 8910
      values: 8950
      values: 8990
      values: 9030
      values: 9070
      values: 9120
      values: 9160
      values: 9200
      values: 9240
      values: 9280
      values: 9290
      values: 9310
      values: 9330
      values: 9340
      values: 9350
      values: 9380
      values: 9400
      values: 9410
      values: 9420
      values: 9440
      values: 9450
      values: 9460
      values: 9480
      values: 9500
      values: 9540
      values: 9560
      values: 9570
      values: 9580
      values: 9620
    age:
      data type: numeric
      datum: 1950
      has max: 10868.921
      has max value: 10868.921
      has mean: 5393.6201
      has mean value: 5393.6201
      has median: 5250.9245
      has median value: 5744.426
      has min: -49
      has min value: 49
      is primary: true
      mean value12k: NA
      measurement table name: measurementTable1
      median res12k: NA
      notes: NA; paleoData_isPrimary has been standardized; paleoData_datum has been standardized
      temp12k dk index: NA
      temperature12k uncertainty: NA
      t sid: PYTGCOHY4U7
      units: yr BP
      use in onset: NA
      variable name: age
      primary age column: true
      has time tsid: PYTGCOHY4U7
      values: -49
      values: 13.963
      values: 97.841
      values: 181.542
      values: 264.964
      values: 348.004
      values: 430.559
      values: 512.528
      values: 674.291
      values: 832.474
      values: 1134.81
      values: 1346.136
      values: 1605.795
      values: 1842.568
      values: 2059.185
      values: 2258.378
      values: 2442.88
      values: 2615.422
      values: 2778.735
      values: 2935.552
      values: 3088.605
      values: 3240.585
      values: 3393.286
      values: 3547.598
      values: 3704.374
      values: 3864.467
      values: 4028.729
      values: 4198.013
      values: 4373.171
      values: 4555.055
      values: 4744.357
      values: 4941.125
      values: 5145.245
      values: 5356.604
      values: 5630.81
      values: 5858.042
      values: 6092.146
      values: 6333.006
      values: 6580.511
      values: 6643.412
      values: 6770.432
      values: 6899.063
      values: 6963.979
      values: 7029.292
      values: 7227.598
      values: 7361.758
      values: 7429.419
      values: 7497.461
      values: 7634.648
      values: 7703.773
      values: 7773.239
      values: 7913.156
      values: 8054.317
      values: 8340.057
      values: 8484.475
      values: 8557.036
      values: 8629.819
    temperature:
      data type: numeric
      datum: abs
      has max: 12.738
      has max value: 12.738
      has mean: 9.7553
      has mean value: 9.7553
      has median: 9.09
      has median value: 9.687
      has min: 7.96
      has min value: 7.96
      in compilation: Temp12k
      is primary: false
      mean value12k: 9.8867
      measurement table name: measurementTable1
      median res12k: 150.392
      most recent compilations: Temp12k-1_0_2, HoloceneAbruptChange-0_10_0
      notes: 153-lake Norwegian training set (Brooks and Birks 2000, 2001)
      proxy: chironomid
      proxy detail: assemblage
      proxy general: faunal assemblage
      proxy lumps: chironomid
      proxy original: chironomids
      QC certification: MTO, SEN, GVE
      temp12k dk index: 973
      temperature12k uncertainty: 1.4
      t sid: PYTM75R3NFI
      units: degC
      units original: deg c
      use in global temperature analysis: TRUE
      use in onset: 1
      variable name: temperature
      primary age column: false
      has time tsid: PYTGCOHY4U7
      values: 9.459
      values: 10.197
      values: 9.554
      values: 9.728
      values: 10.053
      values: 8.523
      values: 8.941
      values: 8.932
      values: 9.561
      values: 9.943
      values: 8.974
      values: 9.689
      values: 9.438
      values: 9.685
      values: 9.912
      values: 7.96
      values: 8.499
      values: 9.25
      values: 10.204
      values: 9.475
      values: 8.24
      values: 9.281
      values: 9.252
      values: 9.76
      values: 9.067
      values: 9.133
      values: 9.807
      values: 10.527
      values: 10.956
      values: 10.957
      values: 10.22
      values: 9.124
      values: 9.493
      values: 9.241
      values: 10.101
      values: 10.031
      values: 10.358
      values: 11.349
      values: 10.217
      values: 10.029
      values: 9.973
      values: 9.204
      values: 8.915
      values: 9.347
      values: 10.742
      values: 9.514
      values: 9.811
ages per kyr: 0.6855
archive type: LakeSediment
created by: matlab
dataset id: jwXt3zEJulVR7ZlBPU6P
data set name: Ratasjoen.Velle.2005
dataset version: 1.1.1
has depth: 1
lipd complete: 94%
lipdverse link: https://lipdverse.org/data/jwXt3zEJulVR7ZlBPU6P/1_1_2
max year: 11620.88
min year: -49
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: 9
n unique good ages: 8
n unique other ages: 1
original data url: www.ncdc.noaa.gov/paleo/study/15444
other ages per kyr: 0.0856906840515926
lipd version: 1.3
pub: Chironomids as a tool for inferring Holocene climate: An assessment based on six sites in southern Scandinavia

interp direction: NA
scope: climate

has max: 302.336
has mean: 158.2307
has median: 199.193
has min: 62.901

interp direction: NA
scope: climate

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

direction: positive
interp direction: 1
is annual: FALSE
scope: climate
seasonality: Summer
seasonality general: Summer
seasonality original: summer
variable: temperature
variable detail: air@surface
variable group: Temperature
variable group direction: negative
variable group original: T
variable original: TRUE

method: WAPLS

has max: 302.336
has mean: 158.2307
has median: 199.193
has min: 62.901

compilation name: Temp12k
compilation version: 1_0_1
compilation version: 1_0_2
compilation version: 1_1_0
compilation version: 1_2_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

compilation name: Temp24k
compilation version: 0_0_2
compilation version: 0_1_0
compilation version: 0_2_0
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_7_1
compilation version: 0_8_0

measurement table:
  table name: chron1measurement1
  missing value: nan
  depth bottom:
    measurement table name: measurementTable1
    t sid: PYT84BU9FEL
    data type: numeric
    has max value: 9810
    has mean value: 9122.2222
    has median value: 9420
    has min value: 8010
    units: mm
    variable name: depthBottom
    variable name original: depth_bot
    model number: NA
    has mean: 9122.2222
    has median: 9420
    has max: 9810
    has min: 8010
    has resolution:
      has max value: nan
      has mean value: nan
      has median value: nan
      has min value: nan
    number: 1
    values: 8010
    values: 8190
    values: 8585
    values: 8930
    values: 9420
    values: 9635
    values: 9750
    values: 9770
    values: 9810
  depth top:
    measurement table name: measurementTable1
    t sid: PYTY6PE754S
    data type: numeric
    has max value: 9805
    has mean value: 9101.6667
    has median value: 9390
    has min value: 8010
    units: mm
    variable name: depthTop
    model number: NA
    has mean: 9101.6667
    has median: 9390
    has max: 9805
    has min: 8010
    has resolution:
      has max value: nan
      has mean value: nan
      has median value: nan
      has min value: nan
    number: 2
    values: 8010
    values: 8160
    values: 8555
    values: 8890
    values: 9390
    values: 9615
    values: 9730
    values: 9760
    values: 9805
  age14 c:
    measurement table name: measurementTable1
    t sid: PYTS7VI0FXF
    data type: numeric
    has max value: 9380
    has mean value: 5556.7778
    has median value: 6390
    has min value: 49
    units: yr 14C BP
    variable name: age14C
    QC notes: Variable name changed from age14C to age during update from DKs csv files.
    model number: NA
    has mean: 6257.5
    has median: 7195
    has max: 9380
    has min: 1700
    has resolution:
      has max value: nan
      has mean value: nan
      has median value: nan
      has min value: nan
    number: 3
    values: NaN
    values: 1700
    values: 2780
    values: 3880
    values: 6390
    values: 8000
    values: 8710
    values: 9220
    values: 9380
  age14 c uncertainty1s:
    measurement table name: measurementTable1
    t sid: PYTLNN4ECI6
    data type: numeric
    has max value: 80
    has mean value: 53.75
    has median value: 50
    has min value: 40
    units: yr 14C BP
    variable name: age14C_uncertainty1s
    variable name original: age_error
    model number: NA
    has mean: 53.75
    has median: 50
    has max: 80
    has min: 40
    has resolution:
      has max value: nan
      has mean value: nan
      has median value: nan
      has min value: nan
    number: 4
    values: NaN
    values: 40
    values: 50
    values: 60
    values: 80
  age type:
    measurement table name: measurementTable1
    t sid: PYTEXGFVX9J
    data type: string
    has max value: 2
    has mean value: 1.1111
    has median value: 1
    has min value: 1
    variable name: ageType
    units: unitless
    model number: NA
    has resolution:
      has max value: nan
      has mean value: nan
      has median value: nan
      has min value: nan
    number: 5
    values: core top
    values: age14C
  depth:
    number: 6
    variable name: depth
    units: cm
    t sid: WEB-4a77f-2f11-47db-8d7b-358fe
    has mean: 911.1944
    has median: 940.5
    has max: 980.75
    has min: 801
    values: 801
    values: 817.5
    values: 857
    values: 891
    values: 940.5
    values: 962.5
    values: 974
    values: 976.5
    values: 980.75
  age:
    number: 7
    variable name: age
    units: yr BP
    t sid: WEB-8706b-7c38-4d30-a8c2-4c92f
    has mean: -49
    has median: -49
    has max: -49
    has min: -49
    values: -49
    values: NaN
  uncertainty1s:
    number: 8
    variable name: uncertainty1s
    units: yr BP
    t sid: WEB-d5f8e-4185-49a8-8bd5-f0dd1
    has mean: 10
    has median: 10
    has max: 10
    has min: 10
    values: 10
    values: NaN
model:
  methods:
    parameters:
      d.min: 801
      d.max: 998
      d.by: 1
      depths.file: 0
      acc.mean: 52.45619
      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

table name: chron1model1measurement1
depth:
  variable name: depth
  units: cm
  description: modeled depth
  number: 1
  values: 801
  values: 802
  values: 803
  values: 804
  values: 805
  values: 806
  values: 807
  values: 808
  values: 809
  values: 810
  values: 811
  values: 812
  values: 813
  values: 814
  values: 815
  values: 816
  values: 817
  values: 818
  values: 819
  values: 820
  values: 821
  values: 822
  values: 823
  values: 824
  values: 825
  values: 826
  values: 827
  values: 828
  values: 829
  values: 830
  values: 831
  values: 832
  values: 833
  values: 834
  values: 835
  values: 836
  values: 837
  values: 838
  values: 839
  values: 840
  values: 841
  values: 842
  values: 843
  values: 844
  values: 845
  values: 846
  values: 847
  values: 848
  values: 849
  values: 850
  values: 851
  values: 852
  values: 853
  values: 854
  values: 855
  values: 856
  values: 857
  values: 858
  values: 859
  values: 860
  values: 861
  values: 862
  values: 863
  values: 864
  values: 865
  values: 866
  values: 867
  values: 868
  values: 869
  values: 870
  values: 871
  values: 872
  values: 873
  values: 874
  values: 875
  values: 876
age.range low:
  variable name: age.rangeLow
  units: yr BP
  description: low end of the uncertainty range
  uncertainty level: 2.5%
  number: 2
  values: -62
  values: -46
  values: -27
  values: 3
  values: 49
  values: 90
  values: 166
  values: 218
  values: 297
  values: 359
  values: 439
  values: 511
  values: 650
  values: 762
  values: 865
  values: 1056
  values: 1272
  values: 1336
  values: 1367
  values: 1405
  values: 1432
  values: 1468
  values: 1493
  values: 1518
  values: 1547
  values: 1581
  values: 1617
  values: 1640
  values: 1675
  values: 1699
  values: 1735
  values: 1772
  values: 1803
  values: 1837
  values: 1871
  values: 1905
  values: 1938
  values: 1977
  values: 2016
  values: 2054
  values: 2096
  values: 2133
  values: 2173
  values: 2206
  values: 2249
  values: 2279
  values: 2321
  values: 2365
  values: 2406
  values: 2448
  values: 2487
  values: 2535
  values: 2580
  values: 2632
  values: 2678
  values: 2746
  values: 2789
  values: 2827
  values: 2858
  values: 2888
  values: 2918
  values: 2943
  values: 2981
  values: 3010
  values: 3047
  values: 3086
  values: 3122
  values: 3159
  values: 3188
  values: 3224
  values: 3252
  values: 3295
  values: 3329
  values: 3377
  values: 3414
age.range high:
  variable name: age.rangeHigh
  units: yr BP
  description: high end of the uncertainty range
  uncertainty level: 97.5%
  number: 3
  values: -27
  values: 180
  values: 376
  values: 492
  values: 639
  values: 800
  values: 952
  values: 1088
  values: 1159
  values: 1249
  values: 1294
  values: 1375
  values: 1429
  values: 1511
  values: 1565
  values: 1619
  values: 1684
  values: 1731
  values: 1798
  values: 1839
  values: 1891
  values: 1939
  values: 1984
  values: 2025
  values: 2068
  values: 2105
  values: 2144
  values: 2186
  values: 2224
  values: 2264
  values: 2295
  values: 2338
  values: 2382
  values: 2418
  values: 2457
  values: 2488
  values: 2525
  values: 2558
  values: 2591
  values: 2626
  values: 2664
  values: 2693
  values: 2722
  values: 2759
  values: 2791
  values: 2828
  values: 2862
  values: 2896
  values: 2927
  values: 2963
  values: 2995
  values: 3027
  values: 3052
  values: 3082
  values: 3118
  values: 3145
  values: 3176
  values: 3214
  values: 3256
  values: 3309
  values: 3354
  values: 3406
  values: 3448
  values: 3503
  values: 3551
  values: 3607
  values: 3657
  values: 3705
  values: 3747
  values: 3788
  values: 3834
  values: 3876
  values: 3934
  values: 3964
  values: 4005

variable name: age
units: yr BP
description: weighted mean age estimate
number: 4
values: -47
values: 31
values: 111
values: 199
values: 293
values: 398
values: 502
values: 606
values: 704
values: 800
values: 891
values: 986
values: 1092
values: 1195
values: 1293
values: 1390
values: 1486
values: 1542
values: 1590
values: 1628
values: 1665
values: 1702
values: 1738
values: 1773
values: 1808
values: 1843
values: 1878
values: 1913
values: 1949
values: 1985
values: 2021
values: 2057
values: 2093
values: 2128
values: 2162
values: 2197
values: 2233
values: 2269
values: 2305
values: 2341
values: 2377
values: 2412
values: 2447
values: 2482
values: 2517
values: 2553
values: 2589
values: 2626
values: 2662
values: 2699
values: 2735
values: 2771
values: 2806
values: 2841
values: 2876
values: 2912
values: 2950
values: 2991
values: 3032
values: 3073
values: 3113
values: 3152
values: 3195
values: 3237
values: 3280
values: 3323
values: 3366
values: 3408
values: 3448
values: 3488
values: 3529
values: 3572
values: 3614
values: 3656
values: 3698
values: 3743

depth: 801
depth.units: cm
table name: chron1model1distribution1
age:
  units: yr BP
  variable name: age
  number: 1
  values: -80.1111
  values: -79.303
  values: -78.4949
  values: -77.6869
  values: -76.8788
  values: -76.0707
  values: -75.2626
  values: -74.4545
  values: -73.6465
  values: -72.8384
  values: -72.0303
  values: -71.2222
  values: -70.4141
  values: -69.6061
  values: -68.798
  values: -67.9899
  values: -67.1818
  values: -66.3737
  values: -65.5657
  values: -64.7576
  values: -63.9495
  values: -63.1414
  values: -62.3333
  values: -61.5253
  values: -60.7172
  values: -59.9091
  values: -59.101
  values: -58.2929
  values: -57.4848
  values: -56.6768
  values: -55.8687
  values: -55.0606
  values: -54.2525
  values: -53.4444
  values: -52.6364
  values: -51.8283
  values: -51.0202
  values: -50.2121
  values: -49.404
  values: -48.596
  values: -47.7879
  values: -46.9798
  values: -46.1717
  values: -45.3636
  values: -44.5556
  values: -43.7475
  values: -42.9394
  values: -42.1313
  values: -41.3232
  values: -40.5152
  values: -39.7071
  values: -38.899
  values: -38.0909
  values: -37.2828
  values: -36.4747
  values: -35.6667
  values: -34.8586
  values: -34.0505
  values: -33.2424
  values: -32.4343
  values: -31.6263
  values: -30.8182
  values: -30.0101
  values: -29.202
  values: -28.3939
  values: -27.5859
  values: -26.7778
  values: -25.9697
  values: -25.1616
  values: -24.3535
  values: -23.5455
  values: -22.7374
  values: -21.9293
  values: -21.1212
  values: -20.3131
  values: -19.5051
  values: -18.697
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: 817.5
depth.units: cm
table name: chron1model1distribution2
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
  values: 0.0019
  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: 857
depth.units: cm
table name: chron1model1distribution3
age:
  units: yr BP
  variable name: age
  number: 1
  values: 2722
  values: 2723
  values: 2724
  values: 2725
  values: 2726
  values: 2727
  values: 2728
  values: 2729
  values: 2730
  values: 2731
  values: 2732
  values: 2733
  values: 2734
  values: 2735
  values: 2736
  values: 2737
  values: 2738
  values: 2739
  values: 2740
  values: 2741
  values: 2742
  values: 2743
  values: 2744
  values: 2745
  values: 2746
  values: 2747
  values: 2748
  values: 2749
  values: 2750
  values: 2751
  values: 2752
  values: 2753
  values: 2754
  values: 2755
  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
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: 0.0019
  values: 0.002
  values: 0.0021
  values: 0.0023
  values: 0.0024
  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: 0.0031
  values: 0.0034
  values: 0.0044
  values: 0.0046
  values: 0.0047
  values: 0.0049
  values: 0.005
  values: 0.0051
  values: 0.0052
  values: 0.0053
  values: 0.0054
  values: 0.0055
  values: 0.0048
  values: 0.0045
  values: 0.0029
  values: 0.001

depth: 891
depth.units: cm
table name: chron1model1distribution4
age:
  units: yr BP
  variable name: age
  number: 1
  values: 3929
  values: 3930
  values: 3931
  values: 3932
  values: 3933
  values: 3934
  values: 3935
  values: 3936
  values: 3937
  values: 3938
  values: 3939
  values: 3940
  values: 3941
  values: 3942
  values: 3943
  values: 3944
  values: 3945
  values: 3946
  values: 3947
  values: 3948
  values: 3949
  values: 3950
  values: 3951
  values: 3952
  values: 3953
  values: 3954
  values: 3955
  values: 3956
  values: 3957
  values: 3958
  values: 3959
  values: 3960
  values: 3961
  values: 3962
  values: 3963
  values: 3964
  values: 3965
  values: 3966
  values: 3967
  values: 3968
  values: 3969
  values: 3970
  values: 3971
  values: 3972
  values: 3973
  values: 3974
  values: 3975
  values: 3976
  values: 3977
  values: 3978
  values: 3979
  values: 3980
  values: 3981
  values: 3982
  values: 3983
  values: 3984
  values: 3985
  values: 3986
  values: 3987
  values: 3988
  values: 3989
  values: 3990
  values: 3991
  values: 3992
  values: 3993
  values: 3994
  values: 3995
  values: 3996
  values: 3997
  values: 3998
  values: 3999
  values: 4000
  values: 4001
  values: 4002
  values: 4003
  values: 4004
  values: 4005
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: 0.0014
  values: 0.0015
  values: 0.0016
  values: 0.0018
  values: 0.002
  values: 0.0021
  values: 0.0022
  values: 0.0024
  values: 0.0025
  values: 0.0026
  values: 0.0023
  values: 0.0027
  values: 0.0028
  values: 0.0019
  values: 0.0017
  values: 0.0029
  values: 0.0031
  values: 0.0032
  values: 0.0033
  values: 0.0034
  values: 0.0035
  values: 0.0036
  values: 0.0037
  values: 0.0038
  values: 0.0039
  values: 0.004
  values: 0.0013
  values: 9.8241e-06
  values: 9.6462e-06
  values: 9.4719e-06
  values: 9.7678e-06
  values: 9.9472e-06

depth: 940.5
depth.units: cm
table name: chron1model1distribution5
age:
  units: yr BP
  variable name: age
  number: 1
  values: 7000
  values: 7005
  values: 7010
  values: 7015
  values: 7020
  values: 7025
  values: 7030
  values: 7035
  values: 7040
  values: 7045
  values: 7050
  values: 7055
  values: 7060
  values: 7065
  values: 7070
  values: 7075
  values: 7080
  values: 7085
  values: 7090
  values: 7095
  values: 7100
  values: 7105
  values: 7110
  values: 7115
  values: 7120
  values: 7125
  values: 7130
  values: 7135
  values: 7140
  values: 7145
  values: 7150
  values: 7155
  values: 7160
  values: 7165
  values: 7170
  values: 7175
  values: 7180
  values: 7185
  values: 7190
  values: 7195
  values: 7200
  values: 7205
  values: 7210
  values: 7215
  values: 7220
  values: 7225
  values: 7230
  values: 7235
  values: 7240
  values: 7245
  values: 7250
  values: 7255
  values: 7260
  values: 7265
  values: 7270
  values: 7275
  values: 7280
  values: 7285
  values: 7290
  values: 7295
  values: 7300
  values: 7305
  values: 7310
  values: 7315
  values: 7320
  values: 7325
  values: 7330
  values: 7335
  values: 7340
  values: 7345
  values: 7350
  values: 7355
  values: 7360
  values: 7365
  values: 7370
  values: 7375
  values: 7380
probability density:
  variable name: probabilityDensity
  number: 2
  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: 0.0016
  values: 0.0042
  values: 0.0082
  values: 0.0118
  values: 0.0142
  values: 0.0151
  values: 0.0148
  values: 0.0133
  values: 0.0109
  values: 0.0087
  values: 0.0069
  values: 0.0056
  values: 0.0048
  values: 0.0043
  values: 0.004
  values: 0.0051
  values: 0.0067
  values: 0.0093
  values: 0.0188
  values: 0.0239
  values: 0.0272
  values: 0.0293
  values: 0.0302
  values: 0.0305
  values: 0.0303
  values: 0.0306
  values: 0.031
  values: 0.03
  values: 0.027
  values: 0.023
  values: 0.0196
  values: 0.018
  values: 0.0176
  values: 0.0183
  values: 0.0169
  values: 0.0124
  values: 0.0135
  values: 0.0168
  values: 0.02
  values: 0.0216
  values: 0.0237
  values: 0.0261
  values: 0.0283
  values: 0.0276
  values: 0.0247
  values: 0.0064
  values: 0.0011
  values: 0.0015
  values: 0.0018
  values: 0.0017
  values: 0.0013
  values: 0.0002
  values: 0.0001

depth: 962.5
depth.units: cm
table name: chron1model1distribution6
age:
  units: yr BP
  variable name: age
  number: 1
  values: 8455
  values: 8460
  values: 8465
  values: 8470
  values: 8475
  values: 8480
  values: 8485
  values: 8490
  values: 8495
  values: 8500
  values: 8505
  values: 8510
  values: 8515
  values: 8520
  values: 8525
  values: 8530
  values: 8535
  values: 8540
  values: 8545
  values: 8550
  values: 8555
  values: 8560
  values: 8565
  values: 8570
  values: 8575
  values: 8580
  values: 8585
  values: 8590
  values: 8595
  values: 8600
  values: 8605
  values: 8610
  values: 8615
  values: 8620
  values: 8625
  values: 8630
  values: 8635
  values: 8640
  values: 8645
  values: 8650
  values: 8655
  values: 8660
  values: 8665
  values: 8670
  values: 8675
  values: 8680
  values: 8685
  values: 8690
  values: 8695
  values: 8700
  values: 8705
  values: 8710
  values: 8715
  values: 8720
  values: 8725
  values: 8730
  values: 8735
  values: 8740
  values: 8745
  values: 8750
  values: 8755
  values: 8760
  values: 8765
  values: 8770
  values: 8775
  values: 8780
  values: 8785
  values: 8790
  values: 8795
  values: 8800
  values: 8805
  values: 8810
  values: 8815
  values: 8820
  values: 8825
  values: 8830
  values: 8835
probability density:
  variable name: probabilityDensity
  number: 2
  values: 0.0002
  values: 0.0003
  values: 0.0004
  values: 0.0006
  values: 0.0007
  values: 0.0008
  values: 0.0005
  values: 0.0014
  values: 0.0023
  values: 0.0034
  values: 0.0038
  values: 0.0035
  values: 0.0029
  values: 0.0025
  values: 0.0027
  values: 0.0048
  values: 0.0063
  values: 0.008
  values: 0.0093
  values: 0.0099
  values: 0.0092
  values: 0.0081
  values: 0.007
  values: 0.0064
  values: 0.0062
  values: 0.0066
  values: 0.0073
  values: 0.0082
  values: 0.0078
  values: 0.0077
  values: 0.0088
  values: 0.0103
  values: 0.0112
  values: 0.0108
  values: 0.0101
  values: 0.0097
  values: 0.0098
  values: 0.01
  values: 0.011
  values: 0.0125
  values: 0.0141
  values: 0.0148
  values: 0.0151
  values: 0.0152
  values: 0.015
  values: 0.0154
  values: 0.0153
  values: 0.0145
  values: 0.0129
  values: 0.0117
  values: 0.0115
  values: 0.0119
  values: 0.0127
  values: 0.0139
  values: 0.0149
  values: 0.0137
  values: 0.0146
  values: 0.0147
  values: 0.0135
  values: 0.0128
  values: 0.0131
  values: 0.0136
  values: 0.014
  values: 0.0134
  values: 0.0102
  values: 0.0087
  values: 0.0067
  values: 0.0049
  values: 0.0039
  values: 0.0028
  values: 0.0018
  values: 0.0013
  values: 0.0011
  values: 0.0016
  values: 0.0021
  values: 0.0026
  values: 0.002
  values: 0.0015

depth: 974
depth.units: cm
table name: chron1model1distribution7
age:
  units: yr BP
  variable name: age
  number: 1
  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
  values: 9580
  values: 9585
  values: 9590
  values: 9595
  values: 9600
  values: 9605
  values: 9610
  values: 9615
  values: 9620
  values: 9625
  values: 9630
  values: 9635
  values: 9640
  values: 9645
  values: 9650
  values: 9655
  values: 9660
  values: 9665
  values: 9670
  values: 9675
  values: 9680
  values: 9685
  values: 9690
  values: 9695
  values: 9700
  values: 9705
  values: 9710
  values: 9715
  values: 9720
  values: 9725
  values: 9730
  values: 9735
  values: 9740
  values: 9745
  values: 9750
  values: 9755
  values: 9760
  values: 9765
  values: 9770
  values: 9775
  values: 9780
  values: 9785
  values: 9790
  values: 9795
  values: 9800
  values: 9805
  values: 9810
  values: 9815
  values: 9820
  values: 9825
  values: 9830
  values: 9835
  values: 9840
  values: 9845
  values: 9850
  values: 9855
  values: 9860
  values: 9865
  values: 9870
  values: 9875
probability density:
  variable name: probabilityDensity
  number: 2
  values: 0.0002
  values: 0.0001
  values: 0.0003
  values: 0.0008
  values: 0.0022
  values: 0.0062
  values: 0.0127
  values: 0.0188
  values: 0.0219
  values: 0.0225
  values: 0.0205
  values: 0.0195
  values: 0.0191
  values: 0.0199
  values: 0.0212
  values: 0.0223
  values: 0.0227
  values: 0.0228
  values: 0.0222
  values: 0.0215
  values: 0.0218
  values: 0.022
  values: 0.02
  values: 0.0177
  values: 0.0158
  values: 0.0141
  values: 0.0134
  values: 0.0122
  values: 0.0116
  values: 0.0114
  values: 0.0113
  values: 0.0112
  values: 0.0108
  values: 0.0103
  values: 0.0101
  values: 0.0094
  values: 0.0088
  values: 0.0076
  values: 0.0067
  values: 0.006
  values: 0.0056
  values: 0.0053
  values: 0.0052
  values: 0.005
  values: 0.0045
  values: 0.0041
  values: 0.0042
  values: 0.0046
  values: 0.0064
  values: 0.0073
  values: 0.0081
  values: 0.0091
  values: 0.0083
  values: 0.0068
  values: 0.0049
  values: 0.0033
  values: 0.0021
  values: 0.0014
  values: 0.001
  values: 0.0007
  values: 0.0009
  values: 0.0005
  values: 0.0006
  values: 0.0004
  values: 0.0011
  values: 0.0013
  values: 0.0015

depth: 976.5
depth.units: cm
table name: chron1model1distribution8
age:
  units: yr BP
  variable name: age
  number: 1
  values: 9975
  values: 9980
  values: 9985
  values: 9990
  values: 9995
  values: 10000
  values: 10005
  values: 10010
  values: 10015
  values: 10020
  values: 10025
  values: 10030
  values: 10035
  values: 10040
  values: 10045
  values: 10050
  values: 10055
  values: 10060
  values: 10065
  values: 10070
  values: 10075
  values: 10080
  values: 10085
  values: 10090
  values: 10095
  values: 10100
  values: 10105
  values: 10110
  values: 10115
  values: 10120
  values: 10125
  values: 10130
  values: 10135
  values: 10140
  values: 10145
  values: 10150
  values: 10155
  values: 10160
  values: 10165
  values: 10170
  values: 10175
  values: 10180
  values: 10185
  values: 10190
  values: 10195
  values: 10200
  values: 10205
  values: 10210
  values: 10215
  values: 10220
  values: 10225
  values: 10230
  values: 10235
  values: 10240
  values: 10245
  values: 10250
  values: 10255
  values: 10260
  values: 10265
  values: 10270
  values: 10275
  values: 10280
  values: 10285
  values: 10290
  values: 10295
  values: 10300
  values: 10305
  values: 10310
  values: 10315
  values: 10320
  values: 10325
  values: 10330
  values: 10335
  values: 10340
  values: 10345
  values: 10350
  values: 10355
probability density:
  variable name: probabilityDensity
  number: 2
  values: 0.0002
  values: 0.0001
  values: 0.0003
  values: 0.0005
  values: 0.0006
  values: 0.0007
  values: 0.0009
  values: 0.0011
  values: 0.0012
  values: 0.0013
  values: 0.0016
  values: 0.0023
  values: 0.0032
  values: 0.0049
  values: 0.0074
  values: 0.011
  values: 0.0133
  values: 0.0143
  values: 0.0144
  values: 0.0148
  values: 0.0153
  values: 0.016
  values: 0.0168
  values: 0.0175
  values: 0.0179
  values: 0.018
  values: 0.0166
  values: 0.0161
  values: 0.0177
  values: 0.0172
  values: 0.0173
  values: 0.0176
  values: 0.0178
  values: 0.017
  values: 0.0167
  values: 0.0163
  values: 0.0151
  values: 0.0134
  values: 0.0121
  values: 0.0171
  values: 0.0156
  values: 0.0136
  values: 0.0117
  values: 0.0096
  values: 0.0079
  values: 0.0065
  values: 0.0057
  values: 0.0053
  values: 0.0056
  values: 0.0063
  values: 0.0072
  values: 0.0078
  values: 0.0073
  values: 0.0046
  values: 0.0035
  values: 0.0025
  values: 0.0018
  values: 0.0015
  values: 0.001
  values: 0.0019
  values: 0.0022
  values: 0.0024
  values: 0.002
  values: 0.0008
  values: 0.0004

depth: 980.75
depth.units: cm
table name: chron1model1distribution9
age:
  units: yr BP
  variable name: age
  number: 1
  values: 10195
  values: 10200
  values: 10205
  values: 10210
  values: 10215
  values: 10220
  values: 10225
  values: 10230
  values: 10235
  values: 10240
  values: 10245
  values: 10250
  values: 10255
  values: 10260
  values: 10265
  values: 10270
  values: 10275
  values: 10280
  values: 10285
  values: 10290
  values: 10295
  values: 10300
  values: 10305
  values: 10310
  values: 10315
  values: 10320
  values: 10325
  values: 10330
  values: 10335
  values: 10340
  values: 10345
  values: 10350
  values: 10355
  values: 10360
  values: 10365
  values: 10370
  values: 10375
  values: 10380
  values: 10385
  values: 10390
  values: 10395
  values: 10400
  values: 10405
  values: 10410
  values: 10415
  values: 10420
  values: 10425
  values: 10430
  values: 10435
  values: 10440
  values: 10445
  values: 10450
  values: 10455
  values: 10460
  values: 10465
  values: 10470
  values: 10475
  values: 10480
  values: 10485
  values: 10490
  values: 10495
  values: 10500
  values: 10505
  values: 10510
  values: 10515
  values: 10520
  values: 10525
  values: 10530
  values: 10535
  values: 10540
  values: 10545
  values: 10550
  values: 10555
  values: 10560
  values: 10565
  values: 10570
  values: 10575
probability density:
  variable name: probabilityDensity
  number: 2
  values: 0.0002
  values: 0.0003
  values: 0.0004
  values: 0.0005
  values: 0.0007
  values: 0.0009
  values: 0.0014
  values: 0.0018
  values: 0.002
  values: 0.0021
  values: 0.0022
  values: 0.0024
  values: 0.0027
  values: 0.003
  values: 0.0034
  values: 0.0037
  values: 0.0036
  values: 0.0031
  values: 0.0026
  values: 0.0033
  values: 0.0035
  values: 0.0032
  values: 0.0038
  values: 0.0041
  values: 0.004
  values: 0.0039
  values: 0.0045
  values: 0.005
  values: 0.0053
  values: 0.0057
  values: 0.0062
  values: 0.0069
  values: 0.0078
  values: 0.0086
  values: 0.0066
  values: 0.0042
  values: 0.0046
  values: 0.0054
  values: 0.0064
  values: 0.0076
  values: 0.0089
  values: 0.0103
  values: 0.0114
  values: 0.0125
  values: 0.013
  values: 0.0132
  values: 0.0131
  values: 0.0119
  values: 0.0138
  values: 0.0146
  values: 0.0149
  values: 0.0147
  values: 0.0143
  values: 0.014
  values: 0.0136
  values: 0.0128
  values: 0.0139
  values: 0.0145
  values: 0.0148
  values: 0.0144
  values: 0.0135
  values: 0.0126
  values: 0.0127
  values: 0.0123
  values: 0.0117
  values: 0.0108
  values: 0.0099
  values: 0.0092
  values: 0.0082
  values: 0.008
  values: 0.0075
  values: 0.0072
  values: 0.0068
  values: 0.0059
  values: 0.0051
  values: 0.0047
  values: 0.0025
  values: 0.0023

version: 1.1.2
last version: 1.1.1
curator: nicholas
timestamp: 2025-06-12 23:01:29.065104 UTC
changes:
  publication metadata: pub1_issue: '13-Dec' has been replaced by '2025-12-13 00:00:00'
  paleo interpretation metadata: age (PYTGCOHY4U7): interpretation1_scope: '' has been replaced by 'climate'
  paleo interpretation metadata: depth (PYTO5UYCOI8): interpretation1_scope: '' has been replaced by 'climate'

version: 1.1.1
last version: 1.1.0
curator: nicholas
timestamp: 2025-06-12 21:37:35.993713 UTC
changes:
  paleo column metadata: age (PYTGCOHY4U7): paleoData_primaryAgeColumn: '' has been replaced by 'TRUE'
  paleo column metadata: temperature (PYTM75R3NFI): paleoData_isPrimary: '' has been replaced by 'FALSE'
  paleo column metadata: temperature (PYTM75R3NFI): paleoData_primaryAgeColumn: '' has been replaced by 'FALSE'
  paleo column metadata: depth (PYTO5UYCOI8): paleoData_primaryAgeColumn: '' has been replaced by 'FALSE'

version: 1.1.0
last version: 1.0.8
curator: nicholas
timestamp: 2025-06-12 19:38:45.940287 UTC
notes: Updated lipdverse database entry with a changed file.
changes:
  chron data table: Column 'Ratasjoen.Velle.2005-chron-NA1', with variable name 'depth', was added to the dataset
  chron data table: Column 'Ratasjoen.Velle.2005-chron-NA2', with variable name 'age.rangeLow', was added to the dataset
  chron data table: Column 'Ratasjoen.Velle.2005-chron-NA3', with variable name 'age.rangeHigh', was added to the dataset
  chron data table: Column 'Ratasjoen.Velle.2005-chron-NA4', with variable name 'age', was added to the dataset
  chron data table: Column 'Ratasjoen.Velle.2005-chron-NA5', with variable name 'depth', was added to the dataset
  chron data table: Column 'Ratasjoen.Velle.2005-chron-NA6', with variable name 'ageEnsemble', was added to the dataset
  chron data table: Column 'WEB-4a77f-2f11-47db-8d7b-358fe', with variable name 'depth', was added to the dataset
  chron data table: Column 'WEB-8706b-7c38-4d30-a8c2-4c92f', with variable name 'age', was added to the dataset
  chron data table: Column 'WEB-d5f8e-4185-49a8-8bd5-f0dd1', with variable name 'uncertainty1s', was added to the dataset
  chron column metadata: depthBottom (PYT84BU9FEL): chronData_variableName: 'depth_bottom' has been replaced by 'depthBottom'
  chron column metadata: ageType (PYTEXGFVX9J): chronData_variableName: 'age_type' has been replaced by 'ageType'
  chron column metadata: age14C_uncertainty1s (PYTLNN4ECI6): chronData_units: '1s' has been replaced by 'yr 14C BP'
  chron column metadata: age14C_uncertainty1s (PYTLNN4ECI6): chronData_variableName: 'SD' has been replaced by 'age14C_uncertainty1s'
  chron column metadata: age14C (PYTS7VI0FXF): chronData_units: 'yr' has been replaced by 'yr 14C BP'
  chron column metadata: age14C (PYTS7VI0FXF): chronData_variableName: 'age' has been replaced by 'age14C'
  chron column metadata: depthTop (PYTY6PE754S): chronData_variableName: 'depth_top' has been replaced by 'depthTop'
  chron data values: age14C (PYTS7VI0FXF): The size of the chronData_values have changed, from 9 to 9 entries.

version: 1.0.8
last version: 1.0.7
curator: nicholas
timestamp: 2024-04-10 22:54:26 UTC
changes:
  paleo column metadata: temperature (PYTM75R3NFI): paleoData_proxyGeneral: 'chironomid' has been replaced by 'faunal assemblage'
  paleo interpretation metadata: temperature (PYTM75R3NFI): interpretation1_seasonality: '' has been replaced by 'Summer'

version: 1.0.7
last version: 1.0.6
curator: nicholas
timestamp: 2023-08-17 19:24:21 UTC
changes:
  paleo calibration metadata: temperature (PYTM75R3NFI): calibration_seasonality: '7' has been replaced by ''

version: 1.0.6
last version: 1.0.5
curator: nicholas
timestamp: 2023-05-25 17:54:53 UTC
notes: Updated lipdverse database entry with a changed file.
changes:
  geographic metadata: geo_elevation: '' has been replaced by '1169'

version: 1.0.5
last version: 1.0.4
curator: nicholas
timestamp: 2023-02-09 16:11:41 UTC
notes: Updated lipdverse database entry with a changed file.
changes:
  paleo column metadata: age (PYTGCOHY4U7): paleoData_datum: '' has been replaced by '1950'
  paleo column metadata: age (PYTGCOHY4U7): paleoData_notes: '' has been replaced by 'NA; paleoData_isPrimary has been standardized; paleoData_datum has been standardized'
  paleo column metadata: age (PYTGCOHY4U7): paleoData_units: 'BP' has been replaced by 'yr BP'
  paleo column metadata: age (PYTGCOHY4U7): paleoData_isPrimary: '' has been replaced by 'TRUE'
  paleo column metadata: depth (PYTO5UYCOI8): paleoData_notes: '' has been replaced by 'NA; paleoData_isPrimary has been standardized'
  paleo column metadata: depth (PYTO5UYCOI8): paleoData_isPrimary: '' has been replaced by 'TRUE'
  paleo interpretation metadata: temperature (PYTM75R3NFI): interpretation1_variable: 'T' has been replaced by 'temperature'

version: 1.0.4
last version: 1.0.3
curator: nicholas
timestamp: 2022-09-21 01:26:49 UTC
changes:
  publication metadata: pub1_volume: '24' has been replaced by ''

version: 1.0.3
last version: 1.0.2
curator: nicholas
timestamp: 2022-07-28 17:40:14 UTC
changes:
  publication metadata: pub1_doi: '10.1016/j.quascirev.2004.10.010' has been replaced by '10.5194/cp-10-1605-2014'
  publication metadata: pub2_doi: '10.5194/cp-10-1605-2014' has been replaced by ''
  geographic metadata: geo_elevation: '1169' has been replaced by ''

version: 1.0.2
last version: 1.0.1
curator: nicholas
timestamp: 2022-05-18 00:29:22 UTC
changes:
  paleo column metadata: temperature (PYTM75R3NFI): paleoData_mostRecentCompilations: '' has been replaced by 'Temp12k-1_0_2, HoloceneAbruptChange-0_10_0'

version: 1.0.1
last version: 1.0.0
curator: nick
timestamp: 2021-04-13 02:36:06 UTC
changes:
  paleo interpretation metadata: temperature (PYTM75R3NFI): interpretation1_seasonality: 'Summer' has been replaced by ''
  paleo interpretation metadata: temperature (PYTM75R3NFI): interpretation1_seasonalityGeneral: 'summerOnly' has been replaced by 'Summer'

version: 1.0.0
curator: nick
timestamp: 2020-08-21 15:34:43 UTC
notes: This marks the creation of the changelog, and marks the status of this dataset as of Temp12k version 1.0.1
changes:
  setup: Changelog created

Chironomids as a tool for inferring Holocene climate: An assessment based on six sites in southern Scandinavia
author:
  name: Velle, Gaute; Brooks, Stephen J.; Birks, H.J.B.; Willassen, Endre
cite key: 7EW63NRV
doi: 10.5194/cp-10-1605-2014
first author: Velle
issue: 2025-12-13 00:00:00
journal: Quaternary Science Reviews
page: 1429-1462
pages: 1429 1462
pub data url: doi.org
publisher: Elsevier BV
type: article-journal
year: 2005

longitude: 9.83
latitude: 62.27
elevation: 1169
geometry type: Point
AHT: Fennoscandia
country ocean: Europe>Northern Europe>Scandinavia>Norway
gcmd location: Europe>Northern Europe>Scandinavia>Norway
site name: Ratasjoen