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Data Publisher for Earth & Environmental Science

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.
Keyword(s):
Bathymodiolus; childressi; Gigantidas; Methane; oxygen consumption
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
Project(s):
Cluster of Excellence: The Future Ocean (FutureOcean)
Funding:
German Research Foundation (DFG), grant/award no. EXC 80: The Future Ocean
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.
GC233-G_childressi (Batch 1) * Latitude: 27.723460 * Longitude: -91.246330 * Date/Time: 2014-07-13T00:00:00 * Elevation: -650.0 m * Method/Device: Remote operated vehicle (ROV)
GC249-G_childressi (Batch 2) * Latitude: 27.728790 * Longitude: -90.516900 * Date/Time: 2017-06-17T00:00:00 * Elevation: -811.0 m * Method/Device: Remote operated vehicle (ROV)
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
354 data points

Data

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


Batch

Year sampl

Sample label
(mussel_id)

Mass [g]
(soft tissue wet weight)

Time [h]

CH4 [µmol/l]
(CH4_start)

Spa.a-T [#]
(CH4_end)

CH4 con [µmol]

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]
12016L11.47223.5018.39314.90593.4870.100800000376.3740000351.99112.1910.352
12016L21.50223.5018.39317.35511.0380.029400000370.4785104358.1166.1810.175
12016L31.97322.8317.40514.41472.9900.066400000379.3336250336.04421.6450.481
12016L41.64526.9220.30518.95001.3550.030600000381.9814167357.84112.0700.273
12016L52.95623.5017.67112.76464.9070.070600000368.1804271331.26518.4580.266
12016L63.93023.5017.67110.85806.8130.073800000372.1271354311.13230.4970.330
12016XL117.3888.1716.78011.51185.2680.037100000374.0005729257.28858.3560.411
12016XL220.0254.3320.83812.46238.3760.096600000368.5925833312.93327.8300.321
12016XL313.6264.3320.83815.39095.4470.092300000372.2895000323.56924.3600.413
12016XL418.4025.0020.8384.747316.0910.174900000374.5126458277.71948.3970.526
12016XL512.6875.0020.83813.47037.3680.116200000366.9689375311.14927.9100.440
12016XL629.2226.0017.0816.233410.8480.061900000373.988083351.147161.4210.921
22017A19.3003.2523.29020.1600-0.560-0.018527709296.9000000251.40022.7000.751
22017A210.5004.2423.29022.1200-0.060-0.001344538296.7000000252.60022.0000.493
22017A311.7004.5023.29021.3400-0.560-0.010636277297.8000000249.70024.1000.458
22017AM19.3005.2526.6004.97009.9800.204403482296.7000000219.80038.5000.789
22017AM29.8003.0026.60017.84003.5400.120408163295.2000000241.90026.6000.905
22017AM311.2004.0025.3503.250010.6000.236607143293.6000000174.60059.5001.328
22017M18.7006.5020.5501.92008.4800.149955791292.6000000184.70053.9000.953
22017M212.2004.2520.5506.49006.1900.119382835296.2000000232.40031.9000.615
22017M39.7004.0020.55011.16003.8600.099484536293.6000000250.70021.5000.554
22019A19.30061.0049.97050.0800-0.110-0.012000000
22019A210.50040.0040.62041.1900-0.570-0.082000000
22019A311.700120.0049.36049.5600-0.200-0.008000000
22019AM19.30019.0044.34041.99002.3500.802000000
22019AM29.80046.0050.11043.96006.1500.820000000
22019AM311.200209.0042.80036.25006.5500.167000000
22019M18.70081.0048.85045.30003.5500.304000000
22019M212.20091.0045.22040.99004.2300.228000000
22019M39.70095.0048.65044.40004.2500.277000000