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Stieg, Amelie; Biskaborn, Boris K; Herzschuh, Ulrike; Strauss, Jens; Lindemann, Justin; Meyer, Hanno (2024): Mercury from sediment short core EN18232-1 of Lake Khamra, SW Yakutia, Siberia, Russia [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.962973, In: Stieg, Amelie; Biskaborn, Boris K; Herzschuh, Ulrike; Strauss, Jens; Pestryakova, Luidmila A; Meyer, Hanno (2024): Sub-decadal diatom oxygen isotope record and biogeochemical data of the last 220 years (2015-1790CE) based on a sediment short core from Lake Khamra, Yakutia, Siberia [dataset bundled publication]. PANGAEA, https://doi.org/10.1594/PANGAEA.962988

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Abstract:
The datafile presents total mercury concentrations (THg, given in µg/kg) of all subsamples (n=39) of sedimentary short core EN18232-1. All measurements were carried out at the Permafrost Carbon and Nitrogen Lab (CarLa) at AWI Potsdam. Mercury concentrations were measured with a MLS-MWS DMA-80 evo III. The machine detection limit was 0.003 ng, with a laboratory proven limit of determination of 0.4 ng. Furthermore, we provide mercury fluxes (HgAr, µg/m²/a) according to the method described in detail in Biskaborn et al. (2023) using the equations in the Comment section below. The sedimentation rates (SR in cm/a) were calculated following Pfalz et al. (2022), whereby xi is the sample depth of interest and xi-1 its previous layer. We used the mean ages of the age-depth-model results of the shortcore EN18232-1. This is followed by the mass accumulation rate (MAR in g/cm²/a), where we used the mean value of the dry bulk density (DBD in g/cm³) of the short core EN18232-1. Consequently, we calculated the mercury accumulation rates HgAr in µg/m²/a.
Keyword(s):
Lake sediment; Mercury concentration; Pristine lake; Russia; Siberia; Yakutia
Supplement to:
Stieg, Amelie; Biskaborn, Boris K; Herzschuh, Ulrike; Strauss, Jens; Pestryakova, Luidmila A; Meyer, Hanno (2024): Hydroclimatic anomalies detected by a sub-decadal diatom oxygen isotope record of the last 220 years from Lake Khamra, Siberia. Climate of the Past, 20(4), 909-933, https://doi.org/10.5194/cp-20-909-2024
References:
Biskaborn, Boris K; Forster, Amy; Pfalz, Gregor; Pestryakova, Luidmila A; Stoof-Leichsenring, Kathleen Rosmarie; Strauss, Jens; Kröger, Tim; Herzschuh, Ulrike (2023): Diatom responses and geochemical feedbacks to environmental changes at Lake Rauchuagytgyn (Far East Russian Arctic). Biogeosciences, 20(9), 1691-1712, https://doi.org/10.5194/bg-20-1691-2023
Pfalz, Gregor; Diekmann, Bernhard; Freytag, Johann-Christoph; Syrykh, Luidmila S; Subetto, Dmitry A; Biskaborn, Boris K (2022): Improving age–depth relationships by using the LANDO (“Linked age and depth modeling”) model ensemble. Geochronology (GChron), 4(1), 269-295, https://doi.org/10.5194/gchron-4-269-2022
Coverage:
Latitude: 59.990910 * Longitude: 112.983730
Date/Time Start: 2018-08-14T00:00:00 * Date/Time End: 2018-08-14T00:00:00
Minimum DEPTH, sediment/rock: 0.01 m * Maximum DEPTH, sediment/rock: 0.39 m
Event(s):
EN18232-1 (Lake Khamra)  * Latitude: 59.990910 * Longitude: 112.983730 * Date/Time: 2018-08-14T00:00:00 * Elevation: 340.0 m * Location: Lake Khamra, SW Yakutia, Russia * Campaign: RU-Land_2018_Yakutia (Chukotka 2018) * Basis: AWI Arctic Land Expedition * Method/Device: Gravity corer, UWITEC (GCUWI) * Comment: core length: 0.42 m; the short core was subsampled gapless in 1 cm increments, in total 39 subsamples
Comment:
Equations for mercury flux calculation:
SR(xi) = (depth(xi) - depth(xi-1)) / (age(xi) - age(xi-1))
MAR = DBD * SR
HgAr = Hg * MAR * 10
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
312 data points

Data

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


Event

Sample ID

Depth sed [m]

Depth sed top [m]

Depth sed bot [m]

Hg [µg/kg]

DBD [g/cm3]

SR [cm/a]

MAR [g/cm2/a]
10 
Hg flux [µg/m2/a]
EN18232-1 EN18232-1-010.010.000.01246.350.1220.30.0499.8
EN18232-1EN18232-1-020.010.010.02225.730.1220.20.0245.7
EN18232-1EN18232-1-030.030.020.03236.510.1220.10.0131.9
EN18232-1EN18232-1-040.040.030.04235.620.1220.10.0128.6
EN18232-1EN18232-1-050.040.040.05193.750.1220.10.0123.6
EN18232-1EN18232-1-060.060.050.06177.410.1220.10.0121.6
EN18232-1EN18232-1-070.070.060.07202.160.1220.10.0127.3
EN18232-1EN18232-1-080.080.070.08171.320.1220.10.0226.0
EN18232-1EN18232-1-090.080.080.09145.720.1220.20.0229.5
EN18232-1EN18232-1-100.100.090.10132.220.1220.20.0226.8
EN18232-1EN18232-1-110.110.100.11125.000.1220.20.0230.4
EN18232-1EN18232-1-120.110.110.12117.720.1220.20.0223.9
EN18232-1EN18232-1-130.120.120.13112.110.1220.20.0227.3
EN18232-1EN18232-1-140.140.130.14111.060.1220.20.0227.0
EN18232-1EN18232-1-150.150.140.15111.010.1220.20.0227.0
EN18232-1EN18232-1-160.150.150.16112.130.1220.20.0222.7
EN18232-1EN18232-1-170.170.160.1793.120.1220.20.0222.6
EN18232-1EN18232-1-180.170.170.1893.630.1220.20.0222.8
EN18232-1EN18232-1-190.180.180.1995.520.1220.20.0223.2
EN18232-1EN18232-1-200.200.190.2095.090.1220.20.0223.1
EN18232-1EN18232-1-210.210.200.2195.820.1220.20.0223.3
EN18232-1EN18232-1-220.210.210.2294.010.1220.20.0222.9
EN18232-1EN18232-1-230.230.220.2382.500.1220.20.0220.1
EN18232-1EN18232-1-240.230.230.2490.090.1220.20.0221.9
EN18232-1EN18232-1-250.240.240.2590.530.1220.20.0222.0
EN18232-1EN18232-1-260.260.250.2681.740.1220.20.0219.9
EN18232-1EN18232-1-270.270.260.2793.460.1220.20.0218.9
EN18232-1EN18232-1-280.280.270.2891.250.1220.20.0222.2
EN18232-1EN18232-1-290.290.280.2992.040.1220.20.0222.4
EN18232-1EN18232-1-300.290.290.3083.460.1220.20.0220.3
EN18232-1EN18232-1-310.300.300.3194.680.1220.20.0223.0
EN18232-1EN18232-1-320.320.310.3291.400.1220.20.0222.2
EN18232-1EN18232-1-330.330.320.3391.880.1220.20.0222.3
EN18232-1EN18232-1-340.340.330.3491.080.1220.20.0222.1
EN18232-1EN18232-1-350.340.340.3588.100.1220.20.0221.4
EN18232-1EN18232-1-360.350.350.36106.450.1220.20.0225.9
EN18232-1EN18232-1-370.360.360.37108.640.1220.20.0226.4
EN18232-1EN18232-1-380.380.370.38102.230.1220.20.0224.9
EN18232-1EN18232-1-390.390.380.3994.290.1220.20.0222.9