Hiebenthal, Claas; Gehlert, Finn-Ole (2024): Gas consumption of cultures Gigantidas childressi [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.967329, In: Hiebenthal, Claas; Gehlert, Finn-Ole (2024): Data from a long-term culture system for deep-sea mussels Gigantides childressi (from 2014 to 2019) [dataset bundled publication]. PANGAEA, https://doi.org/10.1594/PANGAEA.967292
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Abstract:
Gas consumption of two batches (1 and 2) of cultured G. childressi. Batch 2 mussels were cultured under 3 different nutrition regimes (CH4, algae + CH4, only algae). Methane consumption of batch 2 mussels was measured twice, in 2017 and 2019.
Related to:
Hiebenthal, Claas; Gehlert, Finn-Ole; Schmidt, Mark; Reusch, Thorsten B H; Melzner, Frank (2024): Long‐term culture system for deep‐sea mussels Gigantidas childressi. Limnology and Oceanography-Methods, lom3.10612, https://doi.org/10.1002/lom3.10612
Funding:
Coverage:
Median Latitude: 36.591850 * Median Longitude: -57.213477 * South-bound Latitude: 27.723460 * West-bound Longitude: -91.246330 * North-bound Latitude: 54.323300 * East-bound Longitude: 10.122800
Date/Time Start: 2014-07-01T00:00:00 * Date/Time End: 2019-11-01T00:00:00
Minimum Elevation: -811.0 m * Maximum Elevation: -650.0 m
Event(s):
Deep-sea-mussel-culture-experiment * Latitude: 54.323300 * Longitude: 10.122800 * Date/Time Start: 2014-07-01T00:00:00 * Date/Time End: 2019-11-01T00:00:00 * Location: Kiel, Germany * Method/Device: Experiment (EXP) * Comment: The long-term deep-sea mussel culture system at GEOMAR that enabled continuous culture from July 2014 to November 2019 is located in a constant temperature room and is based on a classical recirculating aquarium system.
Parameter(s):
# | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
---|---|---|---|---|---|---|
1 | Batch | Batch | Hiebenthal, Claas | |||
2 | Year of sampling | Year sampl | Hiebenthal, Claas | |||
3 | Sample code/label | Sample label | Hiebenthal, Claas | mussel_id | ||
4 | Mass | Mass | g | Hiebenthal, Claas | soft tissue wet weight | |
5 | Time in hours | Time | h | Hiebenthal, Claas | ||
6 | Methane | CH4 | µmol/l | Hiebenthal, Claas | CH4_start | |
7 | Sparganium angustifolium-type | Spa.a-T | # | Hiebenthal, Claas | CH4_end | |
8 | Methane consumption, absolute | CH4 con | µmol | Hiebenthal, Claas | ||
9 | Methane consumption rate | CH4 con | µmol/g/h | Hiebenthal, Claas | ||
10 | Oxygen | O2 | µmol/l | Hiebenthal, Claas | O2_start | |
11 | Oxygen | O2 | µmol/l | Hiebenthal, Claas | O2_end | |
12 | Oxygen consumption, absolute | O2 con | µmol | Hiebenthal, Claas | ||
13 | Oxygen consumption rate | O2 con | µmol/g/h | Hiebenthal, Claas |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
354 data points
Data
1 Batch | 2 Year sampl | 3 Sample label (mussel_id) | 4 Mass [g] (soft tissue wet weight) | 5 Time [h] | 6 CH4 [µmol/l] (CH4_start) | 7 Spa.a-T [#] (CH4_end) | 8 CH4 con [µmol] | 9 CH4 con [µmol/g/h] | 10 O2 [µmol/l] (O2_start) | 11 O2 [µmol/l] (O2_end) | 12 O2 con [µmol] | 13 O2 con [µmol/g/h] |
---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 2016 | L1 | 1.472 | 23.50 | 18.393 | 14.9059 | 3.487 | 0.100800000 | 376.3740000 | 351.991 | 12.191 | 0.352 |
1 | 2016 | L2 | 1.502 | 23.50 | 18.393 | 17.3551 | 1.038 | 0.029400000 | 370.4785104 | 358.116 | 6.181 | 0.175 |
1 | 2016 | L3 | 1.973 | 22.83 | 17.405 | 14.4147 | 2.990 | 0.066400000 | 379.3336250 | 336.044 | 21.645 | 0.481 |
1 | 2016 | L4 | 1.645 | 26.92 | 20.305 | 18.9500 | 1.355 | 0.030600000 | 381.9814167 | 357.841 | 12.070 | 0.273 |
1 | 2016 | L5 | 2.956 | 23.50 | 17.671 | 12.7646 | 4.907 | 0.070600000 | 368.1804271 | 331.265 | 18.458 | 0.266 |
1 | 2016 | L6 | 3.930 | 23.50 | 17.671 | 10.8580 | 6.813 | 0.073800000 | 372.1271354 | 311.132 | 30.497 | 0.330 |
1 | 2016 | XL1 | 17.388 | 8.17 | 16.780 | 11.5118 | 5.268 | 0.037100000 | 374.0005729 | 257.288 | 58.356 | 0.411 |
1 | 2016 | XL2 | 20.025 | 4.33 | 20.838 | 12.4623 | 8.376 | 0.096600000 | 368.5925833 | 312.933 | 27.830 | 0.321 |
1 | 2016 | XL3 | 13.626 | 4.33 | 20.838 | 15.3909 | 5.447 | 0.092300000 | 372.2895000 | 323.569 | 24.360 | 0.413 |
1 | 2016 | XL4 | 18.402 | 5.00 | 20.838 | 4.7473 | 16.091 | 0.174900000 | 374.5126458 | 277.719 | 48.397 | 0.526 |
1 | 2016 | XL5 | 12.687 | 5.00 | 20.838 | 13.4703 | 7.368 | 0.116200000 | 366.9689375 | 311.149 | 27.910 | 0.440 |
1 | 2016 | XL6 | 29.222 | 6.00 | 17.081 | 6.2334 | 10.848 | 0.061900000 | 373.9880833 | 51.147 | 161.421 | 0.921 |
2 | 2017 | A1 | 9.300 | 3.25 | 23.290 | 20.1600 | -0.560 | -0.018527709 | 296.9000000 | 251.400 | 22.700 | 0.751 |
2 | 2017 | A2 | 10.500 | 4.24 | 23.290 | 22.1200 | -0.060 | -0.001344538 | 296.7000000 | 252.600 | 22.000 | 0.493 |
2 | 2017 | A3 | 11.700 | 4.50 | 23.290 | 21.3400 | -0.560 | -0.010636277 | 297.8000000 | 249.700 | 24.100 | 0.458 |
2 | 2017 | AM1 | 9.300 | 5.25 | 26.600 | 4.9700 | 9.980 | 0.204403482 | 296.7000000 | 219.800 | 38.500 | 0.789 |
2 | 2017 | AM2 | 9.800 | 3.00 | 26.600 | 17.8400 | 3.540 | 0.120408163 | 295.2000000 | 241.900 | 26.600 | 0.905 |
2 | 2017 | AM3 | 11.200 | 4.00 | 25.350 | 3.2500 | 10.600 | 0.236607143 | 293.6000000 | 174.600 | 59.500 | 1.328 |
2 | 2017 | M1 | 8.700 | 6.50 | 20.550 | 1.9200 | 8.480 | 0.149955791 | 292.6000000 | 184.700 | 53.900 | 0.953 |
2 | 2017 | M2 | 12.200 | 4.25 | 20.550 | 6.4900 | 6.190 | 0.119382835 | 296.2000000 | 232.400 | 31.900 | 0.615 |
2 | 2017 | M3 | 9.700 | 4.00 | 20.550 | 11.1600 | 3.860 | 0.099484536 | 293.6000000 | 250.700 | 21.500 | 0.554 |
2 | 2019 | A1 | 9.300 | 61.00 | 49.970 | 50.0800 | -0.110 | -0.012000000 | ||||
2 | 2019 | A2 | 10.500 | 40.00 | 40.620 | 41.1900 | -0.570 | -0.082000000 | ||||
2 | 2019 | A3 | 11.700 | 120.00 | 49.360 | 49.5600 | -0.200 | -0.008000000 | ||||
2 | 2019 | AM1 | 9.300 | 19.00 | 44.340 | 41.9900 | 2.350 | 0.802000000 | ||||
2 | 2019 | AM2 | 9.800 | 46.00 | 50.110 | 43.9600 | 6.150 | 0.820000000 | ||||
2 | 2019 | AM3 | 11.200 | 209.00 | 42.800 | 36.2500 | 6.550 | 0.167000000 | ||||
2 | 2019 | M1 | 8.700 | 81.00 | 48.850 | 45.3000 | 3.550 | 0.304000000 | ||||
2 | 2019 | M2 | 12.200 | 91.00 | 45.220 | 40.9900 | 4.230 | 0.228000000 | ||||
2 | 2019 | M3 | 9.700 | 95.00 | 48.650 | 44.4000 | 4.250 | 0.277000000 |