AKIII.Terwilliger.2013 - v1.0.13

Dataset Id: Yxo3tiC6Ct2TfZhHzUtO

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R code to load dataset:

L <- lipdR::readLipd("https://lipdverse.org/data/Yxo3tiC6Ct2TfZhHzUtO/1_0_13/AKIII.Terwilliger.2013.lpd")

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In compilations: (only most recent versions are shown)

iso2k-1_1_2

HoloceneHydroclimate-0_4_0

HoloceneAbruptChange-0_11_0

HoloceneHydroclimate-0_9_1

root

archiveType: TerrestrialSediment

originalDataUrl: https://doi.org/10.25921/57j8-vs18

lipdVersion: 1.3

pub
pub1

author: list(name = "Terwilliger, Valery J. , Eshetu, Zewdu , Disnar, Jean-Robert , Jacob, Ji¿½ri¿½my , Paul Adderley, W. , Huang, Yongsong , Alexandre, Marcelo , Fogel, Marilyn L.")

journal: Geochimica et Cosmochimica Acta

volume: 111

pages: -21

title: Environmental changes and the rise and fall of civilizations in the northern Horn of Africa: An approach combining ?D analyses of land-plant derived fatty acids with multiple proxies in soil

doi: 10.1016/j.gca.2012.10.040

geo

latitude: 13.3322

longitude: 39.3646

elevation: 2171

siteName: Adi Kolan

PaleoData columns
age (yr BP)

TSid: MATa3745f3c77

variableName: age

units: yr BP

description: Year AD

interpretation
1

rank: NA

scope: climate

2

rank: NA

scope: climate

depth (cm)

TSid: MAT32498f268a

variableName: depth

units: cm

description: depth

interpretation
1

rank: NA

scope: climate

2

rank: NA

scope: climate

d2H (permil)

TSid: SL13TEAK01B

variableName: d2H

units: permil

description: terrestrial biomarker

interpretation
1

basis: dDn-C26 data unambiguously if perhaps qualitatively reflect changes in precipitation despite potentially confounding influences of vegetation type and other factors. "The dD values of the fatty acids from land-plant sources (n-C26, n-C28, n-C30) were significantly correlated to one another in each site"

direction: negative

interpDirection: decrease

scope: climate

seasonality: Annual

seasonalityGeneral: Annual

variable: precipitation

variableDetail: amount@surface

variableGroup: P

variableGroupOriginal: precipitation amount

2

scope: climate

3

scope: climate

4

basis: precipitation occurs in closest proximity to the bulk of global cloud formation and its dD values are most influenced by its amount. dD values de- crease as precipitation amount increases (Risi et al., 2008). Additional factors shape the dD values of fatty acids in land-plants as well but their consideration below suggests that our dDn-C26 sequences were unambiguously if qualita- tively reflecting changes in amount of precipitation.

coefficient: NA

direction: positive

fraction: NA

inferredMaterial: soil water

mathematicalRelation: linear

rank: 1

scope: isotope

variable: precipitationIsotope

variableGroup: P_isotope

variableGroupDirection: positive

variableGroupOriginal: precipitation amount

5

basis: Plant to plant differences in fractionations between dD values of n-alkyl compounds and their precipitation source may introduce the greatest error in interpreting rainfall amount.

coefficient: NA

fraction: NA

inferredMaterial: soil water

rank: NA

scope: isotope

seasonality: Growing Season

variableGroup: plant community composition

6

coefficient: NA

fraction: NA

inferredMaterial: soil water

rank: NA

scope: isotope

d2H (permil)

TSid: SL13TEAK01C2

variableName: d2H

units: permil

description: terrestrial biomarker

interpretation
1

basis: dDn-C26 data unambiguously if perhaps qualitatively reflect changes in precipitation despite potentially confounding influences of vegetation type and other factors. "The dD values of the fatty acids from land-plant sources (n-C26, n-C28, n-C30) were significantly correlated to one another in each site"

direction: negative

interpDirection: decrease

scope: climate

seasonality: Annual

seasonalityGeneral: Annual

variable: precipitation

variableDetail: amount@surface

variableGroup: P

variableGroupOriginal: precipitation amount

2

scope: climate

3

scope: climate

4

basis: precipitation occurs in closest proximity to the bulk of global cloud formation and its dD values are most influenced by its amount. dD values de- crease as precipitation amount increases (Risi et al., 2008). Additional factors shape the dD values of fatty acids in land-plants as well but their consideration below suggests that our dDn-C26 sequences were unambiguously if qualita- tively reflecting changes in amount of precipitation.

coefficient: NA

direction: positive

fraction: NA

inferredMaterial: soil water

mathematicalRelation: linear

rank: 1

scope: isotope

variable: precipitationIsotope

variableGroup: P_isotope

variableGroupDirection: positive

variableGroupOriginal: precipitation amount

5

basis: Plant to plant differences in fractionations between dD values of n-alkyl compounds and their precipitation source may introduce the greatest error in interpreting rainfall amount.

coefficient: NA

fraction: NA

inferredMaterial: soil water

rank: NA

scope: isotope

seasonality: Growing Season

variableGroup: plant community composition

6

coefficient: NA

fraction: NA

inferredMaterial: soil water

rank: NA

scope: isotope

d2H (permil)

TSid: SL13TEAK01A

variableName: d2H

units: permil

description: terrestrial biomarker

interpretation
1

basis: dDn-C26 data unambiguously if perhaps qualitatively reflect changes in precipitation despite potentially confounding influences of vegetation type and other factors. "The dD values of the fatty acids from land-plant sources (n-C26, n-C28, n-C30) were significantly correlated to one another in each site"

direction: negative

interpDirection: decrease

scope: climate

seasonality: Annual

seasonalityGeneral: Annual

variable: precipitation

variableDetail: amount@surface

variableGroup: P

variableGroupOriginal: precipitation amount

2

scope: climate

3

scope: climate

4

basis: precipitation occurs in closest proximity to the bulk of global cloud formation and its dD values are most influenced by its amount. dD values de- crease as precipitation amount increases (Risi et al., 2008). Additional factors shape the dD values of fatty acids in land-plants as well but their consideration below suggests that our dDn-C26 sequences were unambiguously if qualita- tively reflecting changes in amount of precipitation.

coefficient: NA

direction: positive

fraction: NA

inferredMaterial: soil water

mathematicalRelation: linear

rank: 1

scope: isotope

variable: precipitationIsotope

variableGroup: P_isotope

variableGroupDirection: positive

variableGroupOriginal: precipitation amount

5

basis: Plant to plant differences in fractionations between dD values of n-alkyl compounds and their precipitation source may introduce the greatest error in interpreting rainfall amount.

coefficient: NA

fraction: NA

inferredMaterial: soil water

rank: NA

scope: isotope

seasonality: Growing Season

variableGroup: plant community composition

6

coefficient: NA

fraction: NA

inferredMaterial: soil water

rank: NA

scope: isotope

ChronData columns
depth (cm)

TSid: chron1

variableName: depth

units: cm

description: mid-point depth

age14C (yr14C BP)

TSid: chron2

variableName: age14C

units: yr14C BP

description: 14C years before 1950

SD (yr14C BP)

TSid: chron3

variableName: SD

units: yr14C BP

description: 14C years uncertainty

fractionModern (unitless)

TSid: chron4

variableName: fractionModern

units: unitless

description: fraction of modern 14C activity

fractionModernUncertainty (unitless)

TSid: chron5

variableName: fractionModernUncertainty

units: unitless

description: fraction of modern 14C activity uncertainty

delta13C (permil)

TSid: chron6

variableName: delta13C

units: permil

description: delta13C of material analyzed for 14C

delta13Cuncertainty (permil)

TSid: chron7

variableName: delta13Cuncertainty

units: permil

description: delta13C uncertainty

thickness (cm)

TSid: chron8

variableName: thickness

units: cm

description: thickness of sample (along depth axis)

labID (unitless)

TSid: chron9

variableName: labID

units: unitless

description: laboratory ID from radiocarbon facility

materialDated (unitless)

TSid: chron10

variableName: materialDated

units: unitless

description: material analyzed

activity (Bq g-1)

TSid: chron11

variableName: activity

units: Bq g-1

description: 210Pb, 239+240Pu or 137Cs activity

activityUncertainty (Bq g-1)

TSid: chron12

variableName: activityUncertainty

units: Bq g-1

description: 210Pb, 239+240Pu or 137Cs activity uncertainty

supportedActivity (unitless)

TSid: chron13

variableName: supportedActivity

units: unitless

description: Y if supported 210Pb activity, N if unsupported 210Pb activity

x210PbModel (unitless)

TSid: chron14

variableName: x210PbModel

units: unitless

description: model used to convert 210Pb activity to age (e.g., constant rate of supply)

age (yr BP)

TSid: chron15

variableName: age

units: yr BP

description: years before 1950 (calibrated age, or ages that dont need calibration)

SD (yr BP)

TSid: chron16

variableName: SD

units: yr BP

description: uncertainty in age

reservoirAge14C (yr14C BP)

TSid: chron17

variableName: reservoirAge14C

units: yr14C BP

description: 14C reservoir age

reservoirAge14CUncertainty (yr14C BP)

TSid: chron18

variableName: reservoirAge14CUncertainty

units: yr14C BP

description: 14C reservoir age uncertainty

useInAgeModel (unitless)

TSid: chron19

variableName: useInAgeModel

units: unitless

description: was this date used in the age model?