paleo data:
  measurement table:
    table name: paleo1measurement1
    missing value: nan
    age:
      variable name: age
      proxy observation type: na
      units: yr BP
      t sid: WEBce5587ed
      has mean: 4893.413
      has median: 1364.5
      has max: 14659
      has min: -58
      units original: yr BP
      datum: 1950
      is primary: true
      notes: NA; paleoData_isPrimary has been standardized; paleoData_datum has been standardized
      values: -58
      values: -53
      values: -47
      values: -46
      values: -43
      values: -37
      values: -33
      values: -29
      values: -24
      values: -21
      values: -18
      values: -15
      values: -13
      values: -12
      values: -6
      values: -2
      values: 0
      values: 5
      values: 8
      values: 12
      values: 15
      values: 19
      values: 23
      values: 27
      values: 31
      values: 36
      values: 48
      values: 52
      values: 60
      values: 80
      values: 86
      values: 91
      values: 102
      values: 107
      values: 114
      values: 118.5
      values: 153
      values: 169.5
      values: 185
      values: 215.5
      values: 231
      values: 245.5
      values: 275
      values: 289
      values: 302.5
      values: 326.5
      values: 330
      values: 335
      values: 340
      values: 350
      values: 355
      values: 360
      values: 370
      values: 375.5
      values: 380
      values: 390.5
      values: 395.5
      values: 401
      values: 406
      values: 416
      values: 421
      values: 426.5
      values: 436.5
      values: 441
      values: 447
      values: 452
      values: 456.5
      values: 461.5
    precipitation:
      proxy: pollen
      variable name: precipitation
      description: MAP with N-set
      proxy observation type: na
      units: mm/yr
      t sid: WEBbc36fb7b
      has mean: 477.6249
      has median: 477.2
      has max: 617.4
      has min: 344.4
      mean value12k: 487.3214
      median res12k: 10
      notes: "a weighted averaging partial least squares (WA-PLS) ap-proach, are used to reconstruct past climate variables froma fossil record, which is located at the margin of the EastAsian summer monsoon...we can assume that thePannreconstruction basedon the N-set should be closer to reality
      proxy detail: pollen
      datum: abs
      proxy general: floral assemblage
      proxy lumps: pollen
      QC certification: CR
      q cnotes: *
      values: 484.6
      values: 463.3
      values: 417.5
      values: 453.1
      values: 421.5
      values: 463.4
      values: 395.5
      values: 437.7
      values: 408.2
      values: 420.6
      values: 418.9
      values: 381
      values: 409.9
      values: 438.8
      values: 410
      values: 431.9
      values: 423.2
      values: 419.3
      values: 385.3
      values: 396
      values: 396.2
      values: 413.8
      values: 386.9
      values: 388.4
      values: 408.5
      values: 386.8
      values: 356.7
      values: 393.8
      values: 371.8
      values: 384.4
      values: 349.1
      values: 347.1
      values: 366.2
      values: 379.9
      values: 382.9
      values: 367.2
      values: 394.8
      values: 374.6
      values: 373.7
      values: 390
      values: 393
      values: 344.4
      values: 379.2
      values: 356.6
      values: 392.7
      values: 387.7
      values: 386.4
      values: 376.8
      values: 435.5
      values: 394.6
      values: 372.2
      values: 402.8
      values: 399.3
      values: 403.4
      values: 436.8
      values: 400.4
      values: 429.5
      values: 376.9
      values: 413.1
      values: 404.2
      values: 425.1
    uncertainty1s:
      variable name: uncertainty1s
      description: with N-set
      t sid: WEB5276ebcb
      units: unitless
      has mean: 89.8372
      has median: 89.8
      has max: 92.4
      has min: 89.2
      mean value12k: 89.8612
      median res12k: 10
      summary statistic: 1 sigma
      inferred material: precipitation
      notes: NA; paleoData_summaryStatistic has been standardized; paleoData_inferredMaterial has been standardized
      values: 89.6
      values: 89.5
      values: 89.7
      values: 89.4
      values: 90.1
      values: 89.9
      values: 90
      values: 90.2
      values: 89.8
      values: 90.4
      values: 90.3
      values: 90.5
      values: 90.6
      values: 90.7
      values: 90.8
      values: 91.1
      values: 91.6
      values: 91.2
      values: 91.3
      values: 91.8
      values: 90.9
      values: 92
      values: 92.4
      values: 91.7
      values: 92.1
      values: 92.2
      values: 89.2
      values: 89.3
data set name: Gonghai.Ding.2017
created by: lipd.net
archive type: LakeSediment
lipd complete: 100%
dataset id: vt7jVigFzq00FWQIUaP0
max year: 14659
min year: -58
lipdverse link: https://lipdverse.org/data/vt7jVigFzq00FWQIUaP0/1_0_13
original data url: https://doi.org/10.1594/PANGAEA.880993
has depth: 0
n unique ages: 0
ages per kyr: NA
dataset version: 1.0.13
lipd version: 1.3
pub: Examining bias in pollen-based quantitative climate reconstructions induced by human impact on vegetation in China

variable: precipitation
direction: positive
scope: climate
variable detail: amount@surface
seasonality: Annual
basis: "a weighted averaging partial least squares (WA-PLS) ap-proach, are used to reconstruct past climate variables froma fossil record, which is located at the margin of the EastAsian summer monsoon...we can assume that thePannreconstruction basedon the N-set should be closer to reality
seasonality general: Annual
variable group: P

method: WA-PLS
seasonality: NA

has mean: 19.113
has median: 3.5
has max: 189
has min: 1

compilation name: HoloceneHydroclimate
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_9_1

compilation name: Hydro21k
compilation version: 0_1_1
compilation version: 0_2_0
compilation version: 0_3_1
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: HoloceneAbruptChange
compilation version: 0_11_0

scope: climate

seasonality: NA

has mean: 19.113
has median: 3.5
has max: 189
has min: 1

scope: climate

seasonality: NA

has mean: 19.113
has median: 3.5
has max: 189
has min: 1

scope: climate

seasonality: NA

has mean: 19.113
has median: 3.5
has max: 189
has min: 1

scope: climate

seasonality: NA

has mean: 19.113
has median: 3.5
has max: 189
has min: 1

variable name: precipitation
description: MAP with H-set
proxy observation type: na
units: mm/yr
t sid: WEB9341a103
has mean: 477.4907
has median: 486.2
has max: 573.3
has min: 371.2
mean value12k: 485.9837
median res12k: 10
values: 448.9
values: 425
values: 411.2
values: 450.4
values: 426.8
values: 446.3
values: 422.1
values: 409.1
values: 427.9
values: 429.7
values: 414
values: 429.3
values: 430
values: 480.7
values: 450.8
values: 477.4
values: 491.8
values: 420.6
values: 411.5
values: 475.7
values: 413.2
values: 437.1
values: 420.9
values: 436.8
values: 419
values: 463.8
values: 402.1
values: 455.6
values: 407.5
values: 419.9
values: 381.2
values: 414.6
values: 390
values: 436.4
values: 436.5
values: 445.3
values: 420
values: 400.9
values: 423.1
values: 438
values: 451.1
values: 412.8
values: 414.5
values: 440.2
values: 476
values: 427.4
values: 448.4
values: 432.8
values: 418.9
values: 438.7
values: 458.5
values: 425.5
values: 455.8
values: 451.7
values: 483.3
values: 443.6
values: 482
values: 440.9
values: 418.7
values: 465.2
values: 451.3
values: 454
values: 458.9
values: 438.2
values: 442.8
values: 469.8
values: 454.5
values: 465.3
values: 484.1

variable name: uncertainty1s
description: MAP with H-set
t sid: WEB6c322fcf
units: unitless
has mean: 101.4012
has median: 101.3
has max: 104.1
has min: 100.8
mean value12k: 101.4064
median res12k: 10
summary statistic: 1 sigma
inferred material: precipitation
notes: NA; paleoData_summaryStatistic has been standardized; paleoData_inferredMaterial has been standardized
values: 101
values: 101.4
values: 101.3
values: 101.5
values: 101.1
values: 101.2
values: 101.6
values: 101.7
values: 101.8
values: 101.9
values: 102.1
values: 102
values: 102.3
values: 102.4
values: 102.7
values: 103.1
values: 102.8
values: 103
values: 103.6
values: 103.7
values: 102.6
values: 103.2
values: 104.1
values: 103.9
values: 102.9
values: 102.5
values: 102.2
values: 100.9
values: 100.8
interpretation:
  scope: climate
calibration:
  seasonality: NA
has resolution:
  has mean: 19.113
  has median: 3.5
  has max: 189
  has min: 1

variable name: needsToBeChanged
description: Human Influence Index (mean HII of 5 best analogues_N-set)
t sid: WEB930d988d
units: unitless
has mean: 17.8669
has median: 18.4
has max: 23.2
has min: 11
mean value12k: 17.6711
median res12k: 10
values: 19.4
values: 19.6
values: 18.4
values: 21
values: 20
values: 19
values: 17.6
values: 18.2
values: 19.8
values: 20.6
values: 19.2
values: 20.2
values: 22
values: 18.6
values: 17.8
values: 21.2
values: 16.8
values: 17
values: 18
values: 21.4
values: 15.6
values: 15
values: 13.4
values: 16.2
values: 12
values: 14.8
values: 17.2
values: 15.8
values: 14.2
values: 20.4
values: 20.8
values: 18.8
values: 16.4
values: 17.4
values: 16.6
values: 16
values: 12.6
values: 15.4
values: 14.4
values: 13.6
values: 15.2
values: 12.8
values: 11.2
values: 11
values: 14
values: 13.8
values: 12.4
values: 13.2
values: 11.8
values: 11.6
values: 14.6
values: 21.6
values: 22.4
values: 22.2
values: 23.2
values: 22.6
values: 21.8
interpretation:
  scope: climate
calibration:
  seasonality: NA
has resolution:
  has mean: 19.113
  has median: 3.5
  has max: 189
  has min: 1

variable name: needsToBeChanged
description: Human Influence Index (mean HII of 5 best analogues_N-set)
t sid: WEB4f8ba0e7
units: unitless
has mean: 4.0473
has median: 3.9
has max: 8.2
has min: 0.4
mean value12k: 3.9465
median res12k: 10
values: 5.7
values: 5.5
values: 4.9
values: 5.3
values: 3
values: 3.5
values: 4.7
values: 3.8
values: 3.2
values: 3.1
values: 3.4
values: 5.8
values: 5.9
values: 4.6
values: 2.5
values: 5
values: 6.2
values: 4
values: 6.4
values: 6.1
values: 6.9
values: 7.7
values: 7.5
values: 6.8
values: 6.3
values: 7
values: 5.6
values: 1.7
values: 6
values: 4.4
values: 7.9
values: 5.2
values: 2.8
values: 2.4
values: 2
values: 4.3
values: 7.1
values: 3.9
values: 1.6
values: 5.4
values: 2.9
values: 3.6
values: 3.3
values: 2.7
values: 0.4
values: 2.2
values: 1.8
values: 8.2
values: 3.7
values: 2.3
values: 4.1
values: 4.5
values: 2.6
values: 0
values: 6.6
values: 5.1
values: 4.2
values: 1.9
values: 1.3
interpretation:
  scope: climate
calibration:
  seasonality: NA
has resolution:
  has mean: 19.113
  has median: 3.5
  has max: 189
  has min: 1

variable name: needsToBeChanged
description: Human Influence Index (mean HII of 5 best analogues_H-set)
t sid: WEB19cb2072
units: unitless
has mean: 21.365
has median: 21
has max: 29.8
has min: 15.4
mean value12k: 21.0903
median res12k: 10
values: 21.2
values: 20.8
values: 19.6
values: 20
values: 19.4
values: 21
values: 19.8
values: 19
values: 18.8
values: 18.2
values: 20.6
values: 18.4
values: 18.6
values: 17
values: 20.4
values: 17.8
values: 17.4
values: 16.6
values: 19.2
values: 22.8
values: 22
values: 21.6
values: 21.4
values: 22.6
values: 20.2
values: 18
values: 24.4
values: 23.2
values: 24
values: 21.8
values: 22.4
values: 25.6
values: 23.8
values: 25.4
values: 24.8
values: 23
values: 16.8
values: 17.6
values: 22.2
values: 23.6
values: 26
values: 17.2
values: 23.4
values: 25
values: 26.4
values: 15.6
values: 16.4
values: 15.4
values: 16.2
values: 16
values: 26.6
values: 28
values: 27.6
values: 25.2
values: 27
values: 26.2
values: 25.8
values: 24.2
values: 27.2
values: 29.8
values: 28.6
values: 28.2
values: 28.8
values: 26.8
values: 24.6
values: 28.4
values: 29.2
interpretation:
  scope: climate
calibration:
  seasonality: NA
has resolution:
  has mean: 19.113
  has median: 3.5
  has max: 189
  has min: 1

variable name: needsToBeChanged
description: Human Influence Index (mean HII of 5 best analogues_H-set)
t sid: WEB75e23ac4
units: unitless
has mean: 5.5804
has median: 5.7
has max: 11.2
has min: 0.9
mean value12k: 5.5573
median res12k: 10
values: 4.1
values: 4.4
values: 4.6
values: 5.3
values: 1.7
values: 4.2
values: 2
values: 3.3
values: 2.9
values: 2.6
values: 1.9
values: 3
values: 1.8
values: 3.6
values: 2.8
values: 3.4
values: 2.4
values: 5
values: 5.5
values: 4.5
values: 3.1
values: 4.3
values: 3.7
values: 5.2
values: 2.2
values: 3.9
values: 4
values: 7.5
values: 6.7
values: 5.1
values: 8.3
values: 7.4
values: 5.6
values: 4.9
values: 7.6
values: 5.9
values: 7.9
values: 9
values: 7.7
values: 8.4
values: 7.1
values: 3.8
values: 3.5
values: 6.9
values: 5.4
values: 6.5
values: 6.1
values: 6.6
values: 2.7
values: 7.2
values: 5.8
values: 6.3
values: 8
values: 6.4
values: 7.8
values: 8.8
values: 5.7
values: 2.5
values: 7.3
values: 1.5
values: 3.2
values: 7
values: 9.1
values: 1.6
values: 4.8
values: 9.2
values: 8.6
values: 9.5
values: 8.5
values: 8.7

variable name: totalPollen
proxy observation type: na
units: percent
t sid: WEB42a9208d
has mean: 44.8187
has median: 47.5
has max: 88.3
has min: 5.1
mean value12k: 47.667
median res12k: 10
units original: %
measurement material: tree polen
notes: NA; paleoData_measurementMaterial has been standardized
values: 19.2
values: 21.8
values: 16.7
values: 12.1
values: 17.1
values: 11.1
values: 12.7
values: 12.6
values: 11
values: 10.3
values: 10
values: 11.4
values: 7
values: 10.6
values: 9.2
values: 8.6
values: 7.5
values: 5.9
values: 8.8
values: 6.6
values: 9.1
values: 9.5
values: 8.2
values: 6.9
values: 5.1
values: 8.3
values: 10.2
values: 8.4
values: 6.4
values: 5.7
values: 7.3
values: 7.2
values: 8
values: 13.9
values: 10.4
values: 8.9
values: 9.9
values: 12.3
values: 13.8
values: 13.5
values: 14.5
values: 18.1
values: 14
values: 16.6
values: 16.1
values: 12.5
values: 18.2
values: 12.9
values: 17.3
values: 17.2
values: 12.8
values: 13.7
values: 15.4
values: 10.9
values: 13.3
values: 12.4
values: 14.6
values: 11.7
values: 11.9
values: 9.6
values: 7.4
values: 10.7
values: 8.5
values: 5.8
values: 9.7
values: 7.6
values: 15.3

version: 1.0.13
last version: 1.0.12
curator: nicholas
timestamp: 2023-07-05 00:40:43 UTC
changes:
  paleo interpretation metadata: precipitation (WEBbc36fb7b): interpretation1_variableDetail: 'precipitation@surface' has been replaced by 'amount@surface'

version: 1.0.12
last version: 1.0.11
curator: nicholas
timestamp: 2023-05-31 20:38:36 UTC
changes:
  paleo column metadata: precipitation (WEBbc36fb7b): paleoData_notes: '((( ((( "a weighted averaging partial least squares (WA-PLS) ap-proach, are used to reconstruct past climate variables froma fossil record, which is located at the margin of the EastAsian summer monsoon...we can assume that thePannreconstruction basedon the N-set should be closer to reality; paleoData_units updated ))) "a weighted averaging partial least squares (WA-PLS) ap-proach, are used to reconstruct past climate variables froma fossil record, which is located at the margin of the EastAsian summer monsoon...we can assume that thePannreconstruction basedon the N-set should be closer to reality /// "a weighted averaging partial least squares (WA-PLS) ap-proach, are used to reconstruct past climate variables froma fossil record, which is located at the margin of the EastAsian summer monsoon...we can assume that thePannreconstruction basedon the N-set should be closer to reality ))) "a weighted averaging partial least squares (WA-PLS) ap-proach, are used to reconstruct past climate variables froma fossil record, which is located at the margin of the EastAsian summer monsoon...we can assume that thePannreconstruction basedon the N-set should be closer to reality /// "a weighted averaging partial least squares (WA-PLS) ap-proach, are used to reconstruct past climate variables froma fossil record, which is located at the margin of the EastAsian summer monsoon...we can assume that thePannreconstruction basedon the N-set should be closer to reality' has been replaced by '"a weighted averaging partial least squares (WA-PLS) ap-proach, are used to reconstruct past climate variables froma fossil record, which is located at the margin of the EastAsian summer monsoon...we can assume that thePannreconstruction basedon the N-set should be closer to reality'

version: 1.0.11
last version: 1.0.10
curator: nicholas
timestamp: 2023-05-30 15:48:47 UTC
changes:
  paleo column metadata: precipitation (WEBbc36fb7b): paleoData_notes: '"a weighted averaging partial least squares (WA-PLS) ap-proach, are used to reconstruct past climate variables froma fossil record, which is located at the margin of the EastAsian summer monsoon...we can assume that thePannreconstruction basedon the N-set should be closer to reality' has been replaced by '((( ((( "a weighted averaging partial least squares (WA-PLS) ap-proach, are used to reconstruct past climate variables froma fossil record, which is located at the margin of the EastAsian summer monsoon...we can assume that thePannreconstruction basedon the N-set should be closer to reality; paleoData_units updated ))) "a weighted averaging partial least squares (WA-PLS) ap-proach, are used to reconstruct past climate variables froma fossil record, which is located at the margin of the EastAsian summer monsoon...we can assume that thePannreconstruction basedon the N-set should be closer to reality /// "a weighted averaging partial least squares (WA-PLS) ap-proach, are used to reconstruct past climate variables froma fossil record, which is located at the margin of the EastAsian summer monsoon...we can assume that thePannreconstruction basedon the N-set should be closer to reality ))) "a weighted averaging partial least squares (WA-PLS) ap-proach, are used to reconstruct past climate variables froma fossil record, which is located at the margin of the EastAsian summer monsoon...we can assume that thePannreconstruction basedon the N-set should be closer to reality /// "a weighted averaging partial least squares (WA-PLS) ap-proach, are used to reconstruct past climate variables froma fossil record, which is located at the margin of the EastAsian summer monsoon...we can assume that thePannreconstruction basedon the N-set should be closer to reality'
  paleo column metadata: precipitation (WEBbc36fb7b): paleoData_QCCertification: '' has been replaced by 'CR'
  paleo column metadata: precipitation (WEBbc36fb7b): paleoData_QCnotes: '' has been replaced by '*'

version: 1.0.10
last version: 1.0.9
curator: nicholas
timestamp: 2023-05-12 21:55:34 UTC
changes:
  paleo column metadata: precipitation (WEBbc36fb7b): paleoData_notes: '((( "a weighted averaging partial least squares (WA-PLS) ap-proach, are used to reconstruct past climate variables froma fossil record, which is located at the margin of the EastAsian summer monsoon...we can assume that thePannreconstruction basedon the N-set should be closer to reality; paleoData_units updated ))) "a weighted averaging partial least squares (WA-PLS) ap-proach, are used to reconstruct past climate variables froma fossil record, which is located at the margin of the EastAsian summer monsoon...we can assume that thePannreconstruction basedon the N-set should be closer to reality /// "a weighted averaging partial least squares (WA-PLS) ap-proach, are used to reconstruct past climate variables froma fossil record, which is located at the margin of the EastAsian summer monsoon...we can assume that thePannreconstruction basedon the N-set should be closer to reality' has been replaced by '"a weighted averaging partial least squares (WA-PLS) ap-proach, are used to reconstruct past climate variables froma fossil record, which is located at the margin of the EastAsian summer monsoon...we can assume that thePannreconstruction basedon the N-set should be closer to reality'

version: 1.0.9
last version: 1.0.8
curator: nicholas
timestamp: 2023-03-24 22:24:28 UTC
changes:
  paleo column metadata: precipitation (WEBbc36fb7b): paleoData_proxyGeneral: 'pollen' has been replaced by 'floral assemblage'

version: 1.0.8
last version: 1.0.7
curator: nicholas
timestamp: 2023-02-13 23:43:13 UTC
changes:
  paleo column metadata: precipitation (WEBbc36fb7b): paleoData_notes: '"a weighted averaging partial least squares (WA-PLS) ap-proach, are used to reconstruct past climate variables froma fossil record, which is located at the margin of the EastAsian summer monsoon...we can assume that thePannreconstruction basedon the N-set should be closer to reality' has been replaced by '((( "a weighted averaging partial least squares (WA-PLS) ap-proach, are used to reconstruct past climate variables froma fossil record, which is located at the margin of the EastAsian summer monsoon...we can assume that thePannreconstruction basedon the N-set should be closer to reality; paleoData_units updated ))) "a weighted averaging partial least squares (WA-PLS) ap-proach, are used to reconstruct past climate variables froma fossil record, which is located at the margin of the EastAsian summer monsoon...we can assume that thePannreconstruction basedon the N-set should be closer to reality /// "a weighted averaging partial least squares (WA-PLS) ap-proach, are used to reconstruct past climate variables froma fossil record, which is located at the margin of the EastAsian summer monsoon...we can assume that thePannreconstruction basedon the N-set should be closer to reality'

version: 1.0.7
last version: 1.0.6
curator: nicholas
timestamp: 2023-02-09 15:43:16 UTC
notes: Updated lipdverse database entry with a changed file.
changes:
  geographic metadata: geo_elevation: '' has been replaced by '1846'
  paleo column metadata: needsToBeChanged (WEB19cb2072): paleoData_variableName: 'HII (H-set)' has been replaced by 'needsToBeChanged'
  paleo column metadata: totalPollen (WEB42a9208d): paleoData_notes: '' has been replaced by 'NA; paleoData_measurementMaterial has been standardized'
  paleo column metadata: totalPollen (WEB42a9208d): paleoData_variableName: 'TreePollen' has been replaced by 'totalPollen'
  paleo column metadata: totalPollen (WEB42a9208d): paleoData_measurementMaterial: '' has been replaced by 'tree polen'
  paleo column metadata: needsToBeChanged (WEB4f8ba0e7): paleoData_variableName: 'HII std (N-set)' has been replaced by 'needsToBeChanged'
  paleo column metadata: uncertainty1s (WEB5276ebcb): paleoData_notes: '' has been replaced by 'NA; paleoData_summaryStatistic has been standardized; paleoData_inferredMaterial has been standardized'
  paleo column metadata: uncertainty1s (WEB5276ebcb): paleoData_variableName: 'precipitation std' has been replaced by 'uncertainty1s'
  paleo column metadata: uncertainty1s (WEB5276ebcb): paleoData_inferredMaterial: '' has been replaced by 'precipitation'
  paleo column metadata: uncertainty1s (WEB5276ebcb): paleoData_summaryStatistic: '' has been replaced by '1 sigma'
  paleo column metadata: uncertainty1s (WEB6c322fcf): paleoData_notes: '' has been replaced by 'NA; paleoData_summaryStatistic has been standardized; paleoData_inferredMaterial has been standardized'
  paleo column metadata: uncertainty1s (WEB6c322fcf): paleoData_variableName: 'precipitation std (with H-set)' has been replaced by 'uncertainty1s'
  paleo column metadata: uncertainty1s (WEB6c322fcf): paleoData_inferredMaterial: '' has been replaced by 'precipitation'
  paleo column metadata: uncertainty1s (WEB6c322fcf): paleoData_summaryStatistic: '' has been replaced by '1 sigma'
  paleo column metadata: needsToBeChanged (WEB75e23ac4): paleoData_variableName: 'HII std (H-set)' has been replaced by 'needsToBeChanged'
  paleo column metadata: needsToBeChanged (WEB930d988d): paleoData_variableName: 'HII (N-set)' has been replaced by 'needsToBeChanged'
  paleo column metadata: precipitation (WEB9341a103): paleoData_units: 'mm/a' has been replaced by 'mm/yr'
  paleo column metadata: precipitation (WEB9341a103): paleoData_variableName: 'precipitation (with H-set)' has been replaced by 'precipitation'
  paleo column metadata: precipitation (WEBbc36fb7b): paleoData_units: 'mm/a' has been replaced by 'mm/yr'
  paleo column metadata: age (WEBce5587ed): paleoData_datum: '' has been replaced by '1950'
  paleo column metadata: age (WEBce5587ed): paleoData_notes: '' has been replaced by 'NA; paleoData_isPrimary has been standardized; paleoData_datum has been standardized'
  paleo column metadata: age (WEBce5587ed): paleoData_units: 'BP' has been replaced by 'yr BP'
  paleo column metadata: age (WEBce5587ed): paleoData_isPrimary: '' has been replaced by 'TRUE'
  paleo interpretation metadata: precipitation (WEBbc36fb7b): interpretation1_seasonality: '1,2,3,4,5,6,7,8,9,10,11,12' has been replaced by 'Annual'
  paleo interpretation metadata: precipitation (WEBbc36fb7b): interpretation1_variable: 'P' has been replaced by 'precipitation'

version: 1.0.6
last version: 1.0.5
curator: nicholas
timestamp: 2022-07-28 17:31:48 UTC
changes:
  base metadata: originalDataUrl: 'https://doi.pangaea.de/10.1594/PANGAEA.880993' has been replaced by 'https://doi.org/10.1594/PANGAEA.880993'
  publication metadata: pub1_doi: '10..5194/cp-13-1285-2017' has been replaced by '10.5194/cp-13-1285-2017'
  geographic metadata: geo_elevation: '1846' has been replaced by ''

version: 1.0.5
last version: 1.0.4
curator: nicholas
timestamp: 2022-07-15 23:01:44 UTC
changes:
  publication metadata: pub1_doi: 'https://doi.org/10.5194/cp-13-1285-2017' has been replaced by '10..5194/cp-13-1285-2017'
  paleo interpretation metadata: HII (H-set) (WEB19cb2072): interpretation1_scope: '' has been replaced by 'climate'
  paleo interpretation metadata: TreePollen (WEB42a9208d): interpretation1_scope: '' has been replaced by 'climate'
  paleo interpretation metadata: HII std (N-set) (WEB4f8ba0e7): interpretation1_scope: '' has been replaced by 'climate'
  paleo interpretation metadata: precipitation std (WEB5276ebcb): interpretation1_scope: '' has been replaced by 'climate'
  paleo interpretation metadata: precipitation std (with H-set) (WEB6c322fcf): interpretation1_scope: '' has been replaced by 'climate'
  paleo interpretation metadata: HII std (H-set) (WEB75e23ac4): interpretation1_scope: '' has been replaced by 'climate'
  paleo interpretation metadata: HII (N-set) (WEB930d988d): interpretation1_scope: '' has been replaced by 'climate'
  paleo interpretation metadata: precipitation (with H-set) (WEB9341a103): interpretation1_scope: '' has been replaced by 'climate'

version: 1.0.4
last version: 1.0.3
curator: nicholas
timestamp: 2022-05-18 00:26:12 UTC
changes:
  paleo interpretation metadata: HII (H-set) (WEB19cb2072): interpretation1_scope: 'climate' has been replaced by ''
  paleo interpretation metadata: TreePollen (WEB42a9208d): interpretation1_scope: 'climate' has been replaced by ''
  paleo interpretation metadata: HII std (N-set) (WEB4f8ba0e7): interpretation1_scope: 'climate' has been replaced by ''
  paleo interpretation metadata: precipitation std (WEB5276ebcb): interpretation1_scope: 'climate' has been replaced by ''
  paleo interpretation metadata: precipitation std (with H-set) (WEB6c322fcf): interpretation1_scope: 'climate' has been replaced by ''
  paleo interpretation metadata: HII std (H-set) (WEB75e23ac4): interpretation1_scope: 'climate' has been replaced by ''
  paleo interpretation metadata: HII (N-set) (WEB930d988d): interpretation1_scope: 'climate' has been replaced by ''
  paleo interpretation metadata: precipitation (with H-set) (WEB9341a103): interpretation1_scope: 'climate' has been replaced by ''
  paleo interpretation metadata: precipitation (WEBbc36fb7b): interpretation1_variableGroup: '' has been replaced by 'P'
  paleo column metadata: TreePollen (WEB42a9208d): paleoData_units: '%' has been replaced by 'percent'
  paleo column metadata: TreePollen (WEB42a9208d): paleoData_unitsOriginal: '' has been replaced by '%'
  paleo column metadata: precipitation (WEBbc36fb7b): paleoData_proxyLumps: '' has been replaced by 'pollen'
  paleo column metadata: age (WEBce5587ed): paleoData_units: 'yr BP' has been replaced by 'BP'
  paleo column metadata: age (WEBce5587ed): paleoData_unitsOriginal: '' has been replaced by 'yr BP'

version: 1.0.3
last version: 1.0.2
curator: nicholas
timestamp: 2021-11-19 21:07:33 UTC
changes:
  paleo interpretation metadata: precipitation (WEBbc36fb7b): interpretation1_seasonality: 'Annual' has been replaced by '1,2,3,4,5,6,7,8,9,10,11,12'
  paleo interpretation metadata: precipitation (WEBbc36fb7b): interpretation1_seasonalityGeneral: '' has been replaced by 'Annual'

version: 1.0.2
last version: 1.0.1
curator: nicholas
timestamp: 2021-11-17 02:06:50 UTC
changes:
  base metadata: archiveType: 'Lake Sediment' has been replaced by 'LakeSediment'
  base metadata: originalDataUrl: '' has been replaced by 'https://doi.pangaea.de/10.1594/PANGAEA.880993'
  geographic metadata: geo_gcmdLocation: '' has been replaced by 'Asia>Eastern Asia>China'
  paleo interpretation metadata: precipitation (WEBbc36fb7b): interpretation1_variableDetail: '@surface' has been replaced by 'precipitation@surface'
  paleo column metadata: precipitation (WEBbc36fb7b): paleoData_datum: '' has been replaced by 'abs'
  paleo column metadata: precipitation (WEBbc36fb7b): paleoData_notes: '' has been replaced by '"a weighted averaging partial least squares (WA-PLS) ap-proach, are used to reconstruct past climate variables froma fossil record, which is located at the margin of the EastAsian summer monsoon...we can assume that thePannreconstruction basedon the N-set should be closer to reality'
  paleo column metadata: precipitation (WEBbc36fb7b): paleoData_proxyDetail: '' has been replaced by 'pollen'
  paleo column metadata: precipitation (WEBbc36fb7b): paleoData_proxyGeneral: '' has been replaced by 'pollen'
  paleo calibration metadata: precipitation (WEBbc36fb7b): calibration_method: '' has been replaced by 'WA-PLS'

version: 1.0.1
last version: 1.0.0
curator: nicholas
timestamp: 2021-10-05 21:39:42 UTC
changes:
  publication metadata: pub1_author: 'list(list(name = "Ding, Wei"), list(name = "Xu, Qinghai"), list(name = "Tarasov, Pavel E."))' has been replaced by 'Ding, Wei'
  paleo interpretation metadata: HII (H-set) (WEB19cb2072): interpretation1_scope: '' has been replaced by 'climate'
  paleo interpretation metadata: TreePollen (WEB42a9208d): interpretation1_scope: '' has been replaced by 'climate'
  paleo interpretation metadata: HII std (N-set) (WEB4f8ba0e7): interpretation1_scope: '' has been replaced by 'climate'
  paleo interpretation metadata: precipitation std (WEB5276ebcb): interpretation1_scope: '' has been replaced by 'climate'
  paleo interpretation metadata: precipitation std (with H-set) (WEB6c322fcf): interpretation1_scope: '' has been replaced by 'climate'
  paleo interpretation metadata: HII std (H-set) (WEB75e23ac4): interpretation1_scope: '' has been replaced by 'climate'
  paleo interpretation metadata: HII (N-set) (WEB930d988d): interpretation1_scope: '' has been replaced by 'climate'
  paleo interpretation metadata: precipitation (with H-set) (WEB9341a103): interpretation1_scope: '' has been replaced by 'climate'

version: 1.0.0
curator: nick
timestamp: 2021-06-08 03:08:35 UTC
notes: Added to lipdverse database.

Examining bias in pollen-based quantitative climate reconstructions induced by human impact on vegetation in China
author:
  name: Ding, Wei
year: 2017
journal: Climate of the Past
issue: 9
volume: 13
doi: 10.5194/cp-13-1285-2017
publisher: Copernicus GmbH
type: article-journal
pages: 1285-1300
abstract: Abstract. Human impact is a well-known confounder in pollen-based quantitative climate reconstructions as most terrestrial ecosystems have been artificially affected to varying degrees. In this paper, we use a human-induced pollen dataset (H-set) and a corresponding natural pollen dataset (N-set) to establish pollen–climate calibration sets for temperate eastern China (TEC). The two calibration sets, taking a weighted averaging partial least squares (WA-PLS) approach, are used to reconstruct past climate variables from a fossil record, which is located at the margin of the East Asian summer monsoon in north-central China and covers the late glacial Holocene from 14.7 ka BP (thousands of years before AD 1950). Ordination results suggest that mean annual precipitation (Pann) is the main explanatory variable of both pollen composition and percentage distributions in both datasets. The Pann reconstructions, based on the two calibration sets, demonstrate consistently similar patterns and general trends, suggesting a relatively strong climate impact on the regional vegetation and pollen spectra. However, our results also indicate that the human impact may obscure climate signals derived from fossil pollen assemblages. In a test with modern climate and pollen data, the Pann influence on pollen distribution decreases in the H-set, while the human influence index (HII) rises. Moreover, the relatively strong human impact reduces woody pollen taxa abundances, particularly in the subhumid forested areas. Consequently, this shifts their model-inferred Pann optima to the arid end of the gradient compared to Pann tolerances in the natural dataset and further produces distinct deviations when the total tree pollen percentages are high (i.e. about 40 % for the Gonghai area) in the fossil sequence. In summary, the calibration set with human impact used in our experiment can produce a reliable general pattern of past climate, but the human impact on vegetation affects the pollen–clima…

longitude: 112.14
latitude: 38.54
elevation: 1846
location: China
site name: Lake Gonghai
gcmd location: Asia>Eastern Asia>China