Citation:

PANGAEA.967292

Name: Gas consumption of cultures Gigantidas childressi
Published: 2024-04-19
License: https://creativecommons.org/licenses/by/4.0/
Keywords: Bathymodiolus; childressi; Gigantidas; Methane; oxygen consumption

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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)

Parameter(s):

#	Name	Short Name	Unit	Principal Investigator	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

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

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