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