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Kaul, Norbert (2021): M162 GLORIA-FLOW, Heat flow data at station HF2016 [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.927329

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Abstract:
Heat flow data, taken with the 6 m Bremen heat probe during M162 in the Gulf of Cadiz. Heat flow data were measured across fault zones to support the idea of fluid transport along leaking faults.
Keyword(s):
dewatering along plate boundary; Gloria fault; heat flow; SWIM-fault
Related to:
Hensen, Christian; Adao, Helena; Arn, Silvan; Batista, Luis; Belosa, Lea; Bodenbinder, Andrea; Cherednichenko, Sergiy; Domeyer, Bettina; Duarte, João Francisco; Glombitza, Clemens; Kaul, Norbert; Koppe, Matthias; Li, Jiaqi; Liebetrau, Volker; Müller, Thomas H; Nogueira, Pedro Miguel; Nuzzo, Marianne; Petersen, Asmus; Schmidt, Mark; Schmidt, Jan-Niklas; Schmidt, Thilo; Sroczynska, Katarzyna; Stelzner, Martin; Terrinha, Pedro; Warnken, Niklas; Weber, Ulrich Wolfgang (2020): Exploring subsurface fluid flow and active dewatering along the oceanic plate boundary between Africa and Eurasia (Gloria Fault), Cruise No. M162, 06.03.2020 - 11.04.2020, Ponta Delgada (Portugal) - Emden (Germany). METEOR-Berichte, Gutachterpanel Forschungsschiffe, M162, 189 pp, https://doi.org/10.48433/cr_m162
Further details:
Kaul, Norbert: M162 raw data archive of HF measurements HF2016 (100 KB, zipped). M162_HF2016.zip
Project(s):
Center for Marine Environmental Sciences (MARUM)
Coverage:
Latitude: 37.242530 * Longitude: -14.922420
Date/Time Start: 2020-04-02T21:14:25 * Date/Time End: 2020-04-02T21:14:25
Minimum DEPTH, sediment/rock: 0.000 m * Maximum DEPTH, sediment/rock: 3.453 m
Event(s):
M162_89-1 (HF2016) * Latitude: 37.242530 * Longitude: -14.922420 * Date/Time: 2020-04-02T21:14:25 * Elevation: -3533.0 m * Location: South Atlantic Ocean * Campaign: M162 (GLORIA-FLOW) * Basis: Meteor (1986) * Method/Device: Heat-Flow probe (HF)
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
1 Sample code/labelSample labelKaul, Norbert
2 Sample code/labelSample labelKaul, NorbertSensor
3 DEPTH, sediment/rockDepth sedmKaul, NorbertGeocode – Penetration depth
4 Depth, relativeDepth relmKaul, NorbertPenetration, relative to top of heat flow probe
5 Temperature, in rock/sedimentt°CKaul, Norbert
6 Conductivity, thermalkW/m/KKaul, Norbertassumed
7 Integrated thermal resistanceITRm2 K/WKaul, NorbertBullarad depth
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Size:
504 data points

Data

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

1 
Sample label		2 
Sample label
(Sensor)		3 
Depth sed [m]
(Penetration depth)		4 
Depth rel [m]
(Penetration, relative to top ...)		5 
t [°C]		6 
k [W/m/K]
(assumed)		7 
ITR [m2 K/W]
(Bullarad depth)
HF2016P0113.2360.862.90140.900.950
HF2016P0123.0740.692.90790.900.770
HF2016P0132.9120.532.91750.900.591
HF2016P0142.7500.372.91370.900.411
HF2016P0152.5890.212.90190.900.231
HF2016P0162.4270.052.88890.900.051
HF2016P0172.265-0.122.88290.90-0.116
HF2016P0182.103-0.282.88110.90-0.277
HF2016P0191.941-0.442.87790.90-0.439
HF2016P01101.780-0.602.87670.90-0.601
HF2016P01111.618-0.762.87320.90-0.763
HF2016P01121.456-0.922.87030.90-0.925
HF2016P01131.294-1.092.86840.90-1.086
HF2016P01141.133-1.252.86860.90-1.248
HF2016P01150.971-1.412.86810.90-1.410
HF2016P01160.809-1.572.86800.90-1.572
HF2016P01170.647-1.732.86800.90-1.734
HF2016P01180.485-1.902.86790.90-1.895
HF2016P01190.324-2.062.86830.90-2.057
HF2016P01200.162-2.222.86840.90-2.219
HF2016P01210.000-2.382.86860.90-2.381
HF2016P0213.3261.552.88990.901.725
HF2016P0223.1601.392.89210.901.540
HF2016P0232.9931.222.89980.901.355
HF2016P0242.8271.052.88780.901.170
HF2016P0252.6610.892.88160.900.986
HF2016P0262.4950.722.88230.900.801
HF2016P0272.3280.552.88040.900.616
HF2016P0282.1620.392.87920.900.431
HF2016P0291.9960.222.87810.900.246
HF2016P02101.8290.062.87610.900.062
HF2016P02111.663-0.112.87880.90-0.111
HF2016P02121.497-0.282.87930.90-0.277
HF2016P02131.330-0.442.87850.90-0.443
HF2016P02141.164-0.612.87870.90-0.610
HF2016P02150.998-0.782.87830.90-0.776
HF2016P02160.832-0.942.87820.90-0.942
HF2016P02170.665-1.112.87870.90-1.109
HF2016P02180.499-1.272.87890.90-1.275
HF2016P02190.333-1.442.87830.90-1.441
HF2016P02200.166-1.612.87870.90-1.607
HF2016P02210.000-1.772.87860.90-1.774
HF2016P0313.069-0.062.88280.90-0.061
HF2016P0322.915-0.212.88290.90-0.214
HF2016P0332.762-0.372.88290.90-0.368
HF2016P0342.608-0.522.88290.90-0.521
HF2016P0352.455-0.672.88260.90-0.675
HF2016P0362.301-0.832.88310.90-0.828
HF2016P0372.148-0.982.88310.90-0.981
HF2016P0381.995-1.132.88290.90-1.135
HF2016P0391.841-1.292.88260.90-1.288
HF2016P03101.688-1.442.88230.90-1.442
HF2016P03111.534-1.602.88300.90-1.595
HF2016P03121.381-1.752.88330.90-1.748
HF2016P03131.227-1.902.88280.90-1.902
HF2016P03141.074-2.062.88300.90-2.055
HF2016P03150.921-2.212.88240.90-2.209
HF2016P03160.767-2.362.88230.90-2.362
HF2016P03170.614-2.522.88280.90-2.516
HF2016P03180.460-2.672.88280.90-2.669
HF2016P03190.307-2.822.88240.90-2.822
HF2016P03200.153-2.982.88320.90-2.976
HF2016P03210.000-3.132.88310.90-3.129
HF2016P0413.453-0.032.88610.90-0.032
HF2016P0423.280-0.202.88580.90-0.204
HF2016P0433.108-0.382.88630.90-0.377
HF2016P0442.935-0.552.88610.90-0.550
HF2016P0452.762-0.722.88550.90-0.722
HF2016P0462.590-0.892.88620.90-0.895
HF2016P0472.417-1.072.88590.90-1.068
HF2016P0482.244-1.242.88610.90-1.240
HF2016P0492.072-1.412.88510.90-1.413
HF2016P04101.899-1.592.88500.90-1.585
HF2016P04111.726-1.762.88610.90-1.758
HF2016P04121.554-1.932.89120.90-1.931
HF2016P04131.381-2.102.88650.90-2.103
HF2016P04141.209-2.282.88590.90-2.276
HF2016P04151.036-2.452.88490.90-2.449
HF2016P04160.863-2.622.88470.90-2.621
HF2016P04170.691-2.792.88540.90-2.794
HF2016P04180.518-2.972.89680.90-2.967
HF2016P04190.345-3.142.88520.90-3.139
HF2016P04200.173-3.312.88690.90-3.312
HF2016P04210.000-3.482.88730.90-3.485