Fiskal, Annika; Deng, Longhui; Michel, Anja; Eickenbusch, Philip; Han, Xingguo; Lagostina, Lorenzo; Zhu, Rong; Sander, Michael; Schroth, Martin H; Bernasconi, Stefano M; Dubois, Nathalie; Lever, Mark A (2019): Microsensor analyses of oxygen and pH at sediment surface in core LL_2 from Lake Lucerne [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.908532, In supplement to: Fiskal, A et al. (2019): Effects of eutrophication on sedimentary organic carbon cycling in five temperate lakes. Biogeosciences, 16(19), 3725-3746, https://doi.org/10.5194/bg-16-3725-2019
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Coverage:
Latitude: 46.996870 * Longitude: 8.347000
Minimum DEPTH, sediment/rock: -0.001999000 m * Maximum DEPTH, sediment/rock: 0.030980722 m
Event(s):
Parameter(s):
# | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
---|---|---|---|---|---|---|
1 | DEPTH, sediment/rock | Depth sed | m | Fiskal, Annika | Geocode | |
2 | Oxygen | O2 | µmol/l | Fiskal, Annika | ||
3 | pH | pH | Fiskal, Annika |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Size:
68 data points
Data
1 Depth sed [m] | 2 O2 [µmol/l] | 3 pH |
---|---|---|
-0.001999000 | 377.641429300 | 8.149999619 |
-0.000999000 | 380.246411900 | 8.140000343 |
0.000000000 | 377.874729500 | 8.060000420 |
0.000999000 | 267.844317600 | 7.829999924 |
0.001999000 | 176.437444200 | 7.739999771 |
0.002998000 | 124.493761800 | 7.710000038 |
0.003998000 | 96.033602970 | 7.659999847 |
0.004997000 | 66.368158810 | 7.630000114 |
0.005996000 | 49.260960300 | 7.619999886 |
0.006996000 | 35.380801480 | 7.610000134 |
0.007995000 | 22.122720220 | 7.610000134 |
0.008994000 | 10.536480150 | 7.610000134 |
0.009994000 | 1.088640005 | 7.610000134 |
0.010993000 | 0.000000000 | 7.610000134 |
0.011993000 | 0.000000000 | 7.630000114 |
0.012992000 | 0.000000000 | 7.639999866 |
0.013991000 | 0.000000000 | 7.670000076 |
0.014991000 | 0.000000000 | 7.690000057 |
0.015990000 | 0.000000000 | 7.710000038 |
0.016989000 | 0.000000000 | 7.719999790 |
0.017989000 | 0.000000000 | 7.730000019 |
0.018988000 | 0.000000000 | 7.739999771 |
0.019988000 | 0.000000000 | 7.750000000 |
0.020987000 | 0.000000000 | 7.760000229 |
0.021986000 | 0.000000000 | 7.769999981 |
0.022986000 | 0.000000000 | 7.769999981 |
0.023985000 | 0.000000000 | 7.769999981 |
0.024985000 | 0.000000000 | 7.769999981 |
0.025984000 | 0.000000000 | 7.769999981 |
0.026983000 | 0.000000000 | 7.760000229 |
0.027983000 | 0.000000000 | 7.760000229 |
0.028982000 | 0.000000000 | 7.750000000 |
0.029981000 | 0.000000000 | 7.750000000 |
0.030980722 | 0.000000000 | 7.739999771 |