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Data Publisher for Earth & Environmental Science

Opitz, Stephan; Wünnemann, Bernd; Aichner, Bernhard; Dietze, Elisabeth; Hartmann, Kai; Herzschuh, Ulrike; IJmker, Janneke; Lehmkuhl, Frank; Li, Shijie; Mischke, Steffen; Plotzki, Anna; Stauch, Georg; Diekmann, Bernhard (2012): (Table 2) Radiometric data of sediment core PG1784, Lake Donggi Cona [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.787776, In supplement to: Opitz, S et al. (2012): Late Glacial and Holocene development of Lake Donggi Cona, north-eastern Tibetan Plateau, inferred from sedimentological analysis. Palaeogeography, Palaeoclimatology, Palaeoecology, 337-338, 159-176, https://doi.org/10.1016/j.palaeo.2012.04.013

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Project(s):
Permafrost Research (Periglacial Dynamics) @ AWI (AWI_PerDyn)
Coverage:
Latitude: 35.253910 * Longitude: 98.508680
Date/Time Start: 2006-08-28T00:00:00 * Date/Time End: 2006-08-28T00:00:00
Minimum DEPTH, sediment/rock: 0.14 m * Maximum DEPTH, sediment/rock: 1.83 m
Event(s):
PG1784 * Latitude: 35.253910 * Longitude: 98.508680 * Date/Time: 2006-08-28T00:00:00 * Elevation: 4095.0 m * Lake water depth: 2 m * Recovery: 1.79 m * Location: Lake Donggi Cona, Qinghai, China * Campaign: CN-Land_2006 (China2006) * Basis: AWI Arctic Land Expedition * Method/Device: Gravity corer (Russian type) (RGC)
Comment:
Corrected ages adjusted using the lake reservoir effect determined for a core-top sample. Calibrated ages were calculated with OxCal 4.1 and the IntCal09 calibration curve (Bonk Ramsey, 2009; Reimer et al., 2009). Radiocarbon results regarded as outliers are marked with an asterisk on the laboratory ID number. For age calibration a value of -30 per mil for the d13C of TOC was used.
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
1 DEPTH, sediment/rockDepth sedmGeocode
2 Sample, optional label/labor noLab noDiekmann, Bernhard
3 Sample code/labelSample labelDiekmann, Bernhard
4 Age, dated materialDated materialDiekmann, Bernhard
5 Age, datedAge datedkaDiekmann, Bernhard
6 Age, dated standard deviationAge dated std dev±Diekmann, BernhardAge, 14C AMS2 sigma
7 Age, datedAge datedka BPDiekmann, BernhardAge, 14C milieu/reservoir correctedBP
8 Age, dated, range, minimumAge dated minkaDiekmann, BernhardAge, 14C milieu/reservoir corrected and calibratedBP
9 Age, dated, range, maximumAge dated maxkaDiekmann, BernhardAge, 14C milieu/reservoir corrected and calibratedBP
10 ProbabilityProb%Diekmann, BernhardCalculated
11 Age, datedAge datedka BPDiekmann, BernhardMean, BP
12 Age, dated standard deviationAge dated std dev±Diekmann, BernhardAge, 14C AMS2 sigma
13 Age, dated, range, minimumAge dated minkaDiekmann, BernhardmodelledBP
14 Age, dated, range, maximumAge dated maxkaDiekmann, BernhardmodelledBP
15 ProbabilityProb%Diekmann, Bernhardmodelled
16 Age, datedAge datedka BPDiekmann, BernhardmodelledBP
17 Age, dated standard deviationAge dated std dev±Diekmann, Bernhardmodelled2 sigma
License:
Creative Commons Attribution 3.0 Unported (CC-BY-3.0)
Size:
64 data points

Data

Download dataset as tab-delimited text — use the following character encoding:

1 
Depth sed [m]		2 
Lab no		3 
Sample label		4 
Dated material		5 
Age dated [ka]		6 
Age dated std dev [±]
(2 sigma, Age, 14C AMS)		7 
Age dated [ka BP]
(BP, Age, 14C milieu/reservoir...)		8 
Age dated min [ka]
(BP, Age, 14C milieu/reservoir...)		9 
Age dated max [ka]
(BP, Age, 14C milieu/reservoir...)		10 
Prob [%]
(Calculated)		11 
Age dated [ka BP]
(Mean, BP)		12 
Age dated std dev [±]
(2 sigma, Age, 14C AMS)		13 
Age dated min [ka]
(BP, modelled)		14 
Age dated max [ka]
(BP, modelled)		15 
Prob [%]
(modelled)		16 
Age dated [ka BP]
(BP, modelled)		17 
Age dated std dev [±]
(2 sigma, modelled)
0.14Erl-12497DC1-08 07/08-2 seaweedTOC4.3090.0422.2182.3392.14095.42.2320.0582.3392.14195.42.2340.058
0.28Erl-12498DC1-08 07/08-3 seaweedTOC4.8030.0422.7122.9192.75095.42.8160.0392.6382.50595.42.6060.041
0.97Erl-12494*DC1-08 07/08-2TOC4.5040.0422.4132.7012.34695.52.4850.1052.7392.58495.42.6600.032
1.83Erl-12495DC1-08 07/08-3TOC5.7190.0693.6284.1493.72595.53.9510.1004.1483.72395.43.9460.100