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Data Publisher for Earth & Environmental Science

Adolph, Marie-Luise; Dreßler, Mirko; Troelstra, Veerle; Wrozyna, Claudia; Haberzettl, Torsten (2023): Diatom abundances of sediment core SAS19-6 [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.959673, In: Adolph, M-L et al. (2023): Geochemistry, grain size, VIS reflectance spectroscopy, mass accumulation, diatom and ostracod assemblages derived from lacustrine sediment cores and surface sediment samples from Schweriner See, NE-Germany [dataset bundled publication]. PANGAEA, https://doi.org/10.1594/PANGAEA.959674

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Keyword(s):
contamination; diatoms; heavy metals; ostracods; productivity; Sediment core; Surface samples; XRF core scanner
Related to:
Adolph, Marie-Luise; Dreßler, Mirko; Troelstra, Veerle; Wrozyna, Claudia; Haberzettl, Torsten (2023): Eutrophication and contamination dynamics of Schweriner See, NE-Germany, during the past 670 years – A multi-proxy approach on lacustrine surface sediments and sediment cores. Science of the Total Environment, 877, 162745, https://doi.org/10.1016/j.scitotenv.2023.162745
Funding:
German Research Foundation (DFG), grant/award no. HA5089/14-1: Schweriner See
Coverage:
Latitude: 53.754529 * Longitude: 11.468115
Date/Time Start: 2019-10-30T17:00:00 * Date/Time End: 2019-10-30T17:00:00
Minimum Elevation: 37.8 m * Maximum Elevation: 37.8 m
Event(s):
SAS19-6 * Latitude: 53.754529 * Longitude: 11.468115 * Date/Time: 2019-10-30T17:00:00 * Elevation: 37.8 m * Lake water depth: 7m * Location: Schweriner See, Northeast Germany * Method/Device: Gravity corer (GC) * Comment: Schweriner Aussensee
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
Sample code/labelSample labelDreßler, MirkoProbe
AGEAgeka BPDreßler, MirkoAge, calculated from a ADGeocode
AgeAgea AD/CEDreßler, Mirko
Diatoms, oligo-mesotrophicDiatom oligo-mes%Dreßler, MirkoCounting, diatoms
Diatoms, eutrophicDiatom eutr%Dreßler, MirkoCounting, diatoms
Diatoms indeterminataDiatoms indet%Dreßler, MirkoCounting, diatomsIndifferent
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
195 data points

Data

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


Sample label

Age [ka BP]

Age [a AD/CE]

Diatom oligo-mes [%]

Diatom eutr [%]

Diatoms indet [%]
SAS 19-6-01-0.068302018.307.04755.20137.752
SAS 19-6-02-0.066482016.489.27355.81834.909
SAS 19-6-03-0.064792014.799.32756.72833.945
SAS 19-6-07-0.058082008.0811.66753.93934.394
SAS 19-6-09-0.054192004.1911.49449.26139.245
SAS 19-6-11-0.049531999.5315.18245.05039.769
SAS 19-6-13-0.043651993.6525.27545.05529.670
SAS 19-6-15-0.037151987.1525.31038.76135.929
SAS 19-6-17-0.030661980.6621.76442.77735.460
SAS 19-6-20-0.022591972.5920.29946.36833.333
SAS 19-6-22-0.018251968.2520.62044.70834.672
SAS 19-6-24-0.011961961.9621.38842.96435.647
SAS 19-6-25-0.007831957.8325.11834.85140.031
SAS 19-6-26-0.003081953.0817.20637.13845.656
SAS 19-6-270.001631948.3717.93143.96638.103
SAS 19-6-280.006291943.7124.86443.37631.760
SAS 19-6-290.011291938.7122.44239.49738.061
SAS 19-6-300.016641933.3625.74335.47938.779
SAS 19-6-310.024151925.8524.39537.24438.361
SAS 19-6-320.033821916.1830.44234.85834.700
SAS 19-6-330.046171903.8342.18024.80333.017
SAS 19-6-340.061191888.8164.16810.23825.594
SAS 19-6-350.077071872.9345.21615.57239.212
SAS 19-6-360.093801856.2058.99019.59621.414
SAS 19-6-370.111271838.7365.00010.37024.630
SAS 19-6-380.129481820.5262.1528.16329.685
SAS 19-6-390.147111802.8938.43421.31140.255
SAS 19-6-400.164131785.8719.80032.94547.255
SAS 19-6-410.181701768.3032.35828.91638.726
SAS 19-6-430.217601732.4021.15433.21745.629
SAS 19-6-460.269521680.4822.13437.73940.127
SAS 19-6-490.320881629.1227.69035.09737.213
SAS 19-6-520.365601584.4030.35731.96437.679
SAS 19-6-570.429511520.4924.17837.00738.816
SAS 19-6-600.466961483.0423.03441.01135.955
SAS 19-6-650.528381421.6230.61227.14342.245
SAS 19-6-680.565311384.6962.01417.13820.848
SAS 19-6-690.577761372.2449.03218.06532.903
SAS 19-6-700.590111359.8960.34215.18024.478