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.
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
Project(s):
Permafrost Research (AWI_Perma)
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
Parameter(s):
# | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
---|---|---|---|---|---|---|
1 | Event label | Event | Stieg, Amelie | |||
2 | Sample ID | Sample ID | Stieg, Amelie | |||
3 | DEPTH, sediment/rock | Depth sed | m | Stieg, Amelie | Geocode – mean | |
4 | Depth, sediment/rock, top/minimum | Depth sed top | m | Stieg, Amelie | ||
5 | Depth, sediment/rock, bottom/maximum | Depth sed bot | m | Stieg, Amelie | ||
6 | Mercury | Hg | µg/kg | Stieg, Amelie | Mercury analyser, MLS-MWS, DMA-80 evo III | THg |
7 | Density, dry bulk | DBD | g/cm3 | Stieg, Amelie | Calculated | mean |
8 | Sedimentation rate per year | SR | cm/a | Stieg, Amelie | Calculation according to Pfalz et al. (2022) | |
9 | Accumulation rate, mass, per year | MAR | g/cm2/a | Stieg, Amelie | Calculated | |
10 | Mercury, flux | Hg flux | µg/m2/a | Stieg, Amelie | Calculation according to Biskaborn et al. 2023 | HgAr |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
312 data points
Data
1 Event | 2 Sample ID | 3 Depth sed [m] | 4 Depth sed top [m] | 5 Depth sed bot [m] | 6 Hg [µg/kg] | 7 DBD [g/cm3] | 8 SR [cm/a] | 9 MAR [g/cm2/a] | 10 Hg flux [µg/m2/a] |
---|---|---|---|---|---|---|---|---|---|
EN18232-1 | EN18232-1-01 | 0.01 | 0.00 | 0.01 | 246.35 | 0.122 | 0.3 | 0.04 | 99.8 |
EN18232-1 | EN18232-1-02 | 0.01 | 0.01 | 0.02 | 225.73 | 0.122 | 0.2 | 0.02 | 45.7 |
EN18232-1 | EN18232-1-03 | 0.03 | 0.02 | 0.03 | 236.51 | 0.122 | 0.1 | 0.01 | 31.9 |
EN18232-1 | EN18232-1-04 | 0.04 | 0.03 | 0.04 | 235.62 | 0.122 | 0.1 | 0.01 | 28.6 |
EN18232-1 | EN18232-1-05 | 0.04 | 0.04 | 0.05 | 193.75 | 0.122 | 0.1 | 0.01 | 23.6 |
EN18232-1 | EN18232-1-06 | 0.06 | 0.05 | 0.06 | 177.41 | 0.122 | 0.1 | 0.01 | 21.6 |
EN18232-1 | EN18232-1-07 | 0.07 | 0.06 | 0.07 | 202.16 | 0.122 | 0.1 | 0.01 | 27.3 |
EN18232-1 | EN18232-1-08 | 0.08 | 0.07 | 0.08 | 171.32 | 0.122 | 0.1 | 0.02 | 26.0 |
EN18232-1 | EN18232-1-09 | 0.08 | 0.08 | 0.09 | 145.72 | 0.122 | 0.2 | 0.02 | 29.5 |
EN18232-1 | EN18232-1-10 | 0.10 | 0.09 | 0.10 | 132.22 | 0.122 | 0.2 | 0.02 | 26.8 |
EN18232-1 | EN18232-1-11 | 0.11 | 0.10 | 0.11 | 125.00 | 0.122 | 0.2 | 0.02 | 30.4 |
EN18232-1 | EN18232-1-12 | 0.11 | 0.11 | 0.12 | 117.72 | 0.122 | 0.2 | 0.02 | 23.9 |
EN18232-1 | EN18232-1-13 | 0.12 | 0.12 | 0.13 | 112.11 | 0.122 | 0.2 | 0.02 | 27.3 |
EN18232-1 | EN18232-1-14 | 0.14 | 0.13 | 0.14 | 111.06 | 0.122 | 0.2 | 0.02 | 27.0 |
EN18232-1 | EN18232-1-15 | 0.15 | 0.14 | 0.15 | 111.01 | 0.122 | 0.2 | 0.02 | 27.0 |
EN18232-1 | EN18232-1-16 | 0.15 | 0.15 | 0.16 | 112.13 | 0.122 | 0.2 | 0.02 | 22.7 |
EN18232-1 | EN18232-1-17 | 0.17 | 0.16 | 0.17 | 93.12 | 0.122 | 0.2 | 0.02 | 22.6 |
EN18232-1 | EN18232-1-18 | 0.17 | 0.17 | 0.18 | 93.63 | 0.122 | 0.2 | 0.02 | 22.8 |
EN18232-1 | EN18232-1-19 | 0.18 | 0.18 | 0.19 | 95.52 | 0.122 | 0.2 | 0.02 | 23.2 |
EN18232-1 | EN18232-1-20 | 0.20 | 0.19 | 0.20 | 95.09 | 0.122 | 0.2 | 0.02 | 23.1 |
EN18232-1 | EN18232-1-21 | 0.21 | 0.20 | 0.21 | 95.82 | 0.122 | 0.2 | 0.02 | 23.3 |
EN18232-1 | EN18232-1-22 | 0.21 | 0.21 | 0.22 | 94.01 | 0.122 | 0.2 | 0.02 | 22.9 |
EN18232-1 | EN18232-1-23 | 0.23 | 0.22 | 0.23 | 82.50 | 0.122 | 0.2 | 0.02 | 20.1 |
EN18232-1 | EN18232-1-24 | 0.23 | 0.23 | 0.24 | 90.09 | 0.122 | 0.2 | 0.02 | 21.9 |
EN18232-1 | EN18232-1-25 | 0.24 | 0.24 | 0.25 | 90.53 | 0.122 | 0.2 | 0.02 | 22.0 |
EN18232-1 | EN18232-1-26 | 0.26 | 0.25 | 0.26 | 81.74 | 0.122 | 0.2 | 0.02 | 19.9 |
EN18232-1 | EN18232-1-27 | 0.27 | 0.26 | 0.27 | 93.46 | 0.122 | 0.2 | 0.02 | 18.9 |
EN18232-1 | EN18232-1-28 | 0.28 | 0.27 | 0.28 | 91.25 | 0.122 | 0.2 | 0.02 | 22.2 |
EN18232-1 | EN18232-1-29 | 0.29 | 0.28 | 0.29 | 92.04 | 0.122 | 0.2 | 0.02 | 22.4 |
EN18232-1 | EN18232-1-30 | 0.29 | 0.29 | 0.30 | 83.46 | 0.122 | 0.2 | 0.02 | 20.3 |
EN18232-1 | EN18232-1-31 | 0.30 | 0.30 | 0.31 | 94.68 | 0.122 | 0.2 | 0.02 | 23.0 |
EN18232-1 | EN18232-1-32 | 0.32 | 0.31 | 0.32 | 91.40 | 0.122 | 0.2 | 0.02 | 22.2 |
EN18232-1 | EN18232-1-33 | 0.33 | 0.32 | 0.33 | 91.88 | 0.122 | 0.2 | 0.02 | 22.3 |
EN18232-1 | EN18232-1-34 | 0.34 | 0.33 | 0.34 | 91.08 | 0.122 | 0.2 | 0.02 | 22.1 |
EN18232-1 | EN18232-1-35 | 0.34 | 0.34 | 0.35 | 88.10 | 0.122 | 0.2 | 0.02 | 21.4 |
EN18232-1 | EN18232-1-36 | 0.35 | 0.35 | 0.36 | 106.45 | 0.122 | 0.2 | 0.02 | 25.9 |
EN18232-1 | EN18232-1-37 | 0.36 | 0.36 | 0.37 | 108.64 | 0.122 | 0.2 | 0.02 | 26.4 |
EN18232-1 | EN18232-1-38 | 0.38 | 0.37 | 0.38 | 102.23 | 0.122 | 0.2 | 0.02 | 24.9 |
EN18232-1 | EN18232-1-39 | 0.39 | 0.38 | 0.39 | 94.29 | 0.122 | 0.2 | 0.02 | 22.9 |