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  • 1
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Fripiat, François; Cavagna, Anne-Julie; Dehairs, Frank; Speich, Sabrina; André, Luc; Cardinal, Damien (2011): Silicon pool dynamics and biogenic silica export in the Southern Ocean inferred from Si-isotopes. Ocean Science, 7(5), 533-547, https://doi.org/10.5194/os-7-533-2011
    Publication Date: 2023-12-13
    Description: Silicon isotopic signatures (d30Si) of water column silicic acid (Si(OH)4) were measured in the Southern Ocean, along a meridional transect from South Africa (Subtropical Zone) down to 57° S (northern Weddell Gyre). This provides the first reported data of a summer transect across the whole Antarctic Circumpolar Current (ACC). d30Si variations are large in the upper 1000 m, reflecting the effect of the silica pump superimposed upon meridional water transfer across the ACC: the transport of Antarctic surface waters northward by a net Ekman drift and their convergence and mixing with warmer upper-ocean Si-depleted waters to the north. Using Si isotopic signatures, we determine different mixing interfaces: the Antarctic Surface Water (AASW), the Antarctic Intermediate Water (AAIW), and thermoclines in the low latitude areas. The residual silicic acid concentrations of end-members control the d30Si alteration of the mixing products and with the exception of AASW, all mixing interfaces have a highly Si-depleted mixed layer end-member. These processes deplete the silicic acid AASW concentration northward, across the different interfaces, without significantly changing the AASW d30Si composition. By comparing our new results with a previous study in the Australian sector we show that during the circumpolar transport of the ACC eastward, the d30Si composition of the silicic acid pools is getting slightly, but significantly lighter from the Atlantic to the Australian sectors. This results either from the dissolution of biogenic silica in the deeper layers and/or from an isopycnal mixing with the deep water masses in the different oceanic basins: North Atlantic Deep Water in the Atlantic, and Indian Ocean deep water in the Indo-Australian sector. This isotopic trend is further transmitted to the subsurface waters, representing mixing interfaces between the surface and deeper layers. Through the use of d30Si constraints, net biogenic silica production (representative of annual export), at the Greenwich Meridian is estimated to be 5.2 ± 1.3 and 1.1 ± 0.3 mol Si/m**2 for the Antarctic Zone and Polar Front Zone, respectively. This is in good agreement with previous estimations. Furthermore, summertime Si-supply into the mixed layer of both zones, via vertical mixing, is estimated to be 1.6 ± 0.4 and 0.1 ± 0.5 mol Si/m**2, respectively.
    Keywords: BONUS-GOODHOPE, GIPY6; Colorimetry; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Event label; GEOTRACES; Global marine biogeochemical cycles of trace elements and their isotopes; International Polar Year (2007-2008); IPY; Latitude of event; Longitude of event; Marion Dufresne (1995); MD_Large_2; MD_Large_3; MD_Large_4; MD_Large_5; MD_Large_6; MD_Large_7; MD_Super_1; MD_Super_2; MD_Super_3; MD_Super_4; MD_Super_5; MD166; Multi-collector inductively coupled plasma mass spectrometer (MC-ICP-MS); off South Africa; Sample comment; Silicic acid; δ30Si, error; δ30Si, silicic acid
    Type: Dataset
    Format: text/tab-separated-values, 362 data points
    Location Call Number Limitation Availability
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  • 2
    Publication Date: 2023-12-14
    Description: Here we provide particle size and biovolume distribution data from an Underwater Vision Profiler 6, mounted on a BGC Argo Float with the WMO number 6903096. The float was deployed in off Angola on the 5th May 2021 at 10.99 degree South, 12.73 degree East. Parking depth was alternated between 250, 500 and 1000 m m and profiling depth alternated between 1000 and 2000 m depth, whenever possible. Profiling frequency was every three days. The float was deliberately picked up on the 26 April 2023 at 11.14 degrees South and 11.22 degrees East.
    Keywords: 0000a_WMO6903096; 0000p_WMO6903096; 0001a_WMO6903096; 0001p_WMO6903096; 0002a_WMO6903096; 0002p_WMO6903096; 0003a_WMO6903096; 0003p_WMO6903096; 0004a_WMO6903096; 0004p_WMO6903096; 0005a_WMO6903096; 0005p_WMO6903096; 0006a_WMO6903096; 0006p_WMO6903096; 0007a_WMO6903096; 0007p_WMO6903096; 0008a_WMO6903096; 0008p_WMO6903096; 0009a_WMO6903096; 0009p_WMO6903096; 0010a_WMO6903096; 0010p_WMO6903096; 0011a_WMO6903096; 0011p_WMO6903096; 0012a_WMO6903096; 0012p_WMO6903096; 0013a_WMO6903096; 0013p_WMO6903096; 0014a_WMO6903096; 0014p_WMO6903096; 0015a_WMO6903096; 0015p_WMO6903096; 0016a_WMO6903096; 0016p_WMO6903096; 0017a_WMO6903096; 0017p_WMO6903096; 0018a_WMO6903096; 0018p_WMO6903096; 0019a_WMO6903096; 0019p_WMO6903096; 0020a_WMO6903096; 0020p_WMO6903096; 0021a_WMO6903096; 0021p_WMO6903096; 0022a_WMO6903096; 0022p_WMO6903096; 0023a_WMO6903096; 0023p_WMO6903096; 0024a_WMO6903096; 0024p_WMO6903096; 0025a_WMO6903096; 0025p_WMO6903096; 0026a_WMO6903096; 0026p_WMO6903096; 0027a_WMO6903096; 0027p_WMO6903096; 0028a_WMO6903096; 0028p_WMO6903096; 0029a_WMO6903096; 0029p_WMO6903096; 0030a_WMO6903096; 0030p_WMO6903096; 0031a_WMO6903096; 0031p_WMO6903096; 0032a_WMO6903096; 0032p_WMO6903096; 0033a_WMO6903096; 0033p_WMO6903096; 0034a_WMO6903096; 0034p_WMO6903096; 0035a_WMO6903096; 0035p_WMO6903096; 0036a_WMO6903096; 0036p_WMO6903096; 0037a_WMO6903096; 0037p_WMO6903096; 0038a_WMO6903096; 0038p_WMO6903096; 0039a_WMO6903096; 0039p_WMO6903096; 0040a_WMO6903096; 0040p_WMO6903096; 0041a_WMO6903096; 0041p_WMO6903096; 0042a_WMO6903096; 0042p_WMO6903096; 0043a_WMO6903096; 0043p_WMO6903096; 0044a_WMO6903096; 0044p_WMO6903096; 0045a_WMO6903096; 0045p_WMO6903096; 0046a_WMO6903096; 0046p_WMO6903096; 0047a_WMO6903096; 0047p_WMO6903096; 0048a_WMO6903096; 0048p_WMO6903096; 0049a_WMO6903096; 0049p_WMO6903096; 0050a_WMO6903096; 0050p_WMO6903096; 0051a_WMO6903096; 0051p_WMO6903096; 0052a_WMO6903096; 0052p_WMO6903096; 0053a_WMO6903096; 0053p_WMO6903096; 0054a_WMO6903096; 0054p_WMO6903096; 0055a_WMO6903096; 0055p_WMO6903096; 0056a_WMO6903096; 0056p_WMO6903096; 0057a_WMO6903096; 0057p_WMO6903096; 0058a_WMO6903096; 0058p_WMO6903096; 0059a_WMO6903096; 0059p_WMO6903096; 0060a_WMO6903096; 0060p_WMO6903096; 0061a_WMO6903096; 0061p_WMO6903096; 0062a_WMO6903096; 0062p_WMO6903096; 0063a_WMO6903096; 0063p_WMO6903096; 0064a_WMO6903096; 0064p_WMO6903096; 0065a_WMO6903096; 0065p_WMO6903096; 0066a_WMO6903096; 0066p_WMO6903096; 0067a_WMO6903096; 0067p_WMO6903096; 0068a_WMO6903096; 0068p_WMO6903096; 0069a_WMO6903096; 0069p_WMO6903096; 0070a_WMO6903096; 0070p_WMO6903096; 0071a_WMO6903096; 0071p_WMO6903096; 0072a_WMO6903096; 0072p_WMO6903096; 0073a_WMO6903096; 0073p_WMO6903096; 0074a_WMO6903096; 0074p_WMO6903096; 0075a_WMO6903096; 0075p_WMO6903096; 0076a_WMO6903096; 0076p_WMO6903096; 0077a_WMO6903096; 0077p_WMO6903096; 0078a_WMO6903096; 0078p_WMO6903096; 0079a_WMO6903096; 0079p_WMO6903096; 0080a_WMO6903096; 0080p_WMO6903096; 0081a_WMO6903096; 0081p_WMO6903096; 0082a_WMO6903096; 0082p_WMO6903096; 0083a_WMO6903096; 0083p_WMO6903096; 0084a_WMO6903096; 0084p_WMO6903096; 0085a_WMO6903096; 0085p_WMO6903096; 0086a_WMO6903096; 0086p_WMO6903096; 0087a_WMO6903096; 0087p_WMO6903096; 0088a_WMO6903096; 0088p_WMO6903096; 0089a_WMO6903096; 0089p_WMO6903096; 0090a_WMO6903096; 0090p_WMO6903096; 0091a_WMO6903096; 0091p_WMO6903096; 0092a_WMO6903096; 0092p_WMO6903096; 0093a_WMO6903096; 0093p_WMO6903096; 0094a_WMO6903096; 0094p_WMO6903096; 0095a_WMO6903096; 0095p_WMO6903096; 0096a_WMO6903096; 0096p_WMO6903096; 0097a_WMO6903096; 0097p_WMO6903096; 0098a_WMO6903096; 0098p_WMO6903096; 0099a_WMO6903096; 0099p_WMO6903096; 0100a_WMO6903096; 0100p_WMO6903096; 0101a_WMO6903096; 0101p_WMO6903096; 0102a_WMO6903096; 0102p_WMO6903096; 0103a_WMO6903096; 0103p_WMO6903096; 0104a_WMO6903096; 0104p_WMO6903096; 0105a_WMO6903096; 0105p_WMO6903096; 0106a_WMO6903096; 0106p_WMO6903096; 0107a_WMO6903096; 0107p_WMO6903096; 0108a_WMO6903096; 0108p_WMO6903096; 0109a_WMO6903096; 0109p_WMO6903096; 0110a_WMO6903096; 0110p_WMO6903096; 0111a_WMO6903096; 0111p_WMO6903096; 0112a_WMO6903096; 0112p_WMO6903096; 0113a_WMO6903096; 0113p_WMO6903096; 0114a_WMO6903096; 0114p_WMO6903096; 0115a_WMO6903096; 0115p_WMO6903096; 0116a_WMO6903096; 0116p_WMO6903096; 0117a_WMO6903096; 0117p_WMO6903096; ARGOFL; Argo float; Biovolume; DATE/TIME; Event label; in situ imaging; LATITUDE; LONGITUDE; MOPGA-TAD; Particle concentration, fractionated; particle distribution; Pressure, water; Sample code/label; TRIATLAS; Tropical and South Atlantic climate-based marine ecosystem predictions for sustainable management; Tropical Atlantic Deoxygenation: gateway dynamics, feedback mechanisms and ecosystem impacts; Volume
    Type: Dataset
    Format: text/tab-separated-values, 2034261 data points
    Location Call Number Limitation Availability
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  • 3
    Publication Date: 2023-12-14
    Description: Here we provide particle size and biovolume distribution data from an Underwater Vision Profiler 6, mounted on a BGC Argo Float with the WMO number 6903095. The float was deployed in a cyclonic eddy off Cape Columbine, South Africa on the 13 April 2021 close to the eddy center at 33.07 degree South, 13.89 degree East. Parking depth was set at 300 m and profiling depth initially to 600 m and later increased to 1000 m depth to maintain the float in the eddy. Profiling frequency was every three days. It stayed within this eddy for about five months and then operated East and Southeast of South Africa until it was deliberately picked up on the 17 September 2022 at 34.43 degrees South and 10.21 degrees East.
    Keywords: 0000a_WMO6903095; 0000p_WMO6903095; 0001a_WMO6903095; 0001p_WMO6903095; 0002a_WMO6903095; 0002p_WMO6903095; 0003a_WMO6903095; 0003p_WMO6903095; 0004a_WMO6903095; 0004p_WMO6903095; 0005a_WMO6903095; 0005p_WMO6903095; 0006a_WMO6903095; 0006p_WMO6903095; 0007a_WMO6903095; 0007p_WMO6903095; 0008a_WMO6903095; 0008p_WMO6903095; 0009a_WMO6903095; 0009p_WMO6903095; 0010a_WMO6903095; 0010p_WMO6903095; 0011a_WMO6903095; 0011p_WMO6903095; 0012a_WMO6903095; 0012p_WMO6903095; 0013a_WMO6903095; 0013p_WMO6903095; 0014a_WMO6903095; 0014p_WMO6903095; 0015a_WMO6903095; 0015p_WMO6903095; 0016a_WMO6903095; 0016p_WMO6903095; 0017a_WMO6903095; 0017p_WMO6903095; 0018a_WMO6903095; 0018p_WMO6903095; 0019a_WMO6903095; 0019p_WMO6903095; 0020a_WMO6903095; 0020p_WMO6903095; 0021a_WMO6903095; 0021p_WMO6903095; 0022a_WMO6903095; 0022p_WMO6903095; 0023a_WMO6903095; 0023p_WMO6903095; 0024a_WMO6903095; 0024p_WMO6903095; 0025a_WMO6903095; 0025p_WMO6903095; 0026a_WMO6903095; 0026p_WMO6903095; 0027a_WMO6903095; 0027p_WMO6903095; 0028a_WMO6903095; 0028p_WMO6903095; 0029a_WMO6903095; 0029p_WMO6903095; 0030a_WMO6903095; 0030p_WMO6903095; 0031a_WMO6903095; 0031p_WMO6903095; 0032a_WMO6903095; 0032p_WMO6903095; 0033a_WMO6903095; 0033p_WMO6903095; 0034a_WMO6903095; 0034p_WMO6903095; 0035a_WMO6903095; 0035p_WMO6903095; 0036a_WMO6903095; 0036p_WMO6903095; 0037a_WMO6903095; 0037p_WMO6903095; 0038a_WMO6903095; 0038p_WMO6903095; 0039a_WMO6903095; 0039p_WMO6903095; 0040a_WMO6903095; 0040p_WMO6903095; 0041a_WMO6903095; 0041p_WMO6903095; 0042a_WMO6903095; 0042p_WMO6903095; 0043a_WMO6903095; 0043p_WMO6903095; 0044a_WMO6903095; 0044p_WMO6903095; 0045a_WMO6903095; 0045p_WMO6903095; 0046a_WMO6903095; 0046p_WMO6903095; 0047a_WMO6903095; 0047p_WMO6903095; 0048a_WMO6903095; 0048p_WMO6903095; 0049a_WMO6903095; 0049p_WMO6903095; 0050a_WMO6903095; 0050p_WMO6903095; 0051a_WMO6903095; 0051p_WMO6903095; 0052a_WMO6903095; 0052p_WMO6903095; 0053a_WMO6903095; 0053p_WMO6903095; 0054a_WMO6903095; 0054p_WMO6903095; 0055a_WMO6903095; 0055p_WMO6903095; 0056a_WMO6903095; 0056p_WMO6903095; 0057a_WMO6903095; 0057p_WMO6903095; 0058a_WMO6903095; 0058p_WMO6903095; 0059a_WMO6903095; 0059p_WMO6903095; 0060a_WMO6903095; 0060p_WMO6903095; 0061a_WMO6903095; 0061p_WMO6903095; 0062a_WMO6903095; 0062p_WMO6903095; 0063a_WMO6903095; 0063p_WMO6903095; 0064a_WMO6903095; 0064p_WMO6903095; 0065a_WMO6903095; 0065p_WMO6903095; 0066a_WMO6903095; 0066p_WMO6903095; 0067a_WMO6903095; 0067p_WMO6903095; 0068a_WMO6903095; 0068p_WMO6903095; 0069a_WMO6903095; 0069p_WMO6903095; 0070a_WMO6903095; 0070p_WMO6903095; 0071a_WMO6903095; 0071p_WMO6903095; 0072a_WMO6903095; 0072p_WMO6903095; 0073a_WMO6903095; 0073p_WMO6903095; 0074a_WMO6903095; 0074p_WMO6903095; 0075a_WMO6903095; 0075p_WMO6903095; 0076a_WMO6903095; 0076p_WMO6903095; 0077a_WMO6903095; 0077p_WMO6903095; 0078a_WMO6903095; 0078p_WMO6903095; 0079a_WMO6903095; 0079p_WMO6903095; 0080a_WMO6903095; 0080p_WMO6903095; 0081a_WMO6903095; 0081p_WMO6903095; 0082a_WMO6903095; 0082p_WMO6903095; 0083a_WMO6903095; 0083p_WMO6903095; 0084a_WMO6903095; 0084p_WMO6903095; 0085a_WMO6903095; 0085p_WMO6903095; 0086a_WMO6903095; 0086p_WMO6903095; 0087a_WMO6903095; 0087p_WMO6903095; 0088a_WMO6903095; 0088p_WMO6903095; 0089a_WMO6903095; 0089p_WMO6903095; 0090a_WMO6903095; 0090p_WMO6903095; 0091a_WMO6903095; 0091p_WMO6903095; 0092a_WMO6903095; 0092p_WMO6903095; 0093a_WMO6903095; 0093p_WMO6903095; 0094a_WMO6903095; 0094p_WMO6903095; 0095a_WMO6903095; 0095p_WMO6903095; 0096a_WMO6903095; 0096p_WMO6903095; 0097a_WMO6903095; 0097p_WMO6903095; 0098a_WMO6903095; 0098p_WMO6903095; 0099a_WMO6903095; 0099p_WMO6903095; 0100a_WMO6903095; 0100p_WMO6903095; 0101a_WMO6903095; 0101p_WMO6903095; 0102a_WMO6903095; 0102p_WMO6903095; 0103a_WMO6903095; 0103p_WMO6903095; 0104a_WMO6903095; 0104p_WMO6903095; 0105a_WMO6903095; 0105p_WMO6903095; 0106a_WMO6903095; 0106p_WMO6903095; 0107a_WMO6903095; 0107p_WMO6903095; 0108a_WMO6903095; 0108p_WMO6903095; 0109a_WMO6903095; 0109p_WMO6903095; 0110a_WMO6903095; 0110p_WMO6903095; 0111a_WMO6903095; 0111p_WMO6903095; 0112a_WMO6903095; 0112p_WMO6903095; 0113a_WMO6903095; 0113p_WMO6903095; 0114a_WMO6903095; 0114p_WMO6903095; 0115a_WMO6903095; 0115p_WMO6903095; 0116a_WMO6903095; 0116p_WMO6903095; 0117a_WMO6903095; 0117p_WMO6903095; 0118a_WMO6903095; 0118p_WMO6903095; 0119a_WMO6903095; 0119p_WMO6903095; 0120a_WMO6903095; 0120p_WMO6903095; 0121a_WMO6903095; 0121p_WMO6903095; 0122a_WMO6903095; 0122p_WMO6903095; 0123a_WMO6903095; 0123p_WMO6903095; 0124a_WMO6903095; 0124p_WMO6903095; 0125a_WMO6903095; 0125p_WMO6903095; 0126a_WMO6903095; 0126p_WMO6903095; 0127a_WMO6903095; 0127p_WMO6903095; 0128a_WMO6903095; 0128p_WMO6903095; 0129a_WMO6903095; 0129p_WMO6903095; 0130a_WMO6903095; 0130p_WMO6903095; 0131a_WMO6903095; 0131p_WMO6903095; 0132a_WMO6903095; 0132p_WMO6903095; 0133a_WMO6903095; 0133p_WMO6903095; 0134a_WMO6903095; 0134p_WMO6903095; 0135a_WMO6903095; 0135p_WMO6903095; 0136a_WMO6903095; 0136p_WMO6903095; 0137a_WMO6903095; 0137p_WMO6903095; 0138a_WMO6903095; 0138p_WMO6903095; 0139a_WMO6903095; 0139p_WMO6903095; 0140a_WMO6903095; 0140p_WMO6903095; 0141a_WMO6903095; 0141p_WMO6903095; 0142a_WMO6903095; 0142p_WMO6903095; 0143a_WMO6903095; 0143p_WMO6903095; 0144a_WMO6903095; 0144p_WMO6903095; 0145a_WMO6903095; 0145p_WMO6903095; 0146a_WMO6903095; 0146p_WMO6903095; 0147a_WMO6903095; 0147p_WMO6903095; 0148a_WMO6903095; 0148p_WMO6903095; 0149a_WMO6903095; 0149p_WMO6903095; 0150a_WMO6903095; 0150p_WMO6903095; 0151a_WMO6903095; 0151p_WMO6903095; 0152a_WMO6903095; 0152p_WMO6903095; 0153a_WMO6903095; 0153p_WMO6903095; 0154a_WMO6903095; 0154p_WMO6903095; 0155a_WMO6903095; 0155p_WMO6903095; 0156a_WMO6903095; 0156p_WMO6903095; 0157a_WMO6903095; 0157p_WMO6903095; 0158a_WMO6903095; 0158p_WMO6903095; 0159a_WMO6903095; 0159p_WMO6903095; 0160a_WMO6903095; 0160p_WMO6903095; 0161a_WMO6903095; 0161p_WMO6903095; 0162a_WMO6903095; 0162p_WMO6903095; 0163a_WMO6903095; 0163p_WMO6903095; 0164a_WMO6903095; 0164p_WMO6903095; 0165a_WMO6903095; 0165p_WMO6903095; 0166a_WMO6903095; 0166p_WMO6903095; 0167a_WMO6903095; 0167p_WMO6903095; 0168a_WMO6903095; 0168p_WMO6903095; 0169a_WMO6903095; 0169p_WMO6903095; 0170a_WMO6903095; 0170p_WMO6903095; 0171a_WMO6903095; 0171p_WMO6903095; 0172a_WMO6903095; 0172p_WMO6903095; 0173a_WMO6903095; 0173p_WMO6903095; 0174a_WMO6903095; 0174p_WMO6903095; 0175a_WMO6903095; 0175p_WMO6903095; 0176a_WMO6903095; 0176p_WMO6903095; 0177a_WMO6903095; 0177p_WMO6903095; 0178a_WMO6903095; 0178p_WMO6903095; 0179a_WMO6903095; 0179p_WMO6903095; 0180a_WMO6903095; 0180p_WMO6903095; 0181a_WMO6903095; 0181p_WMO6903095; 0182a_WMO6903095; 0182p_WMO6903095; 0183a_WMO6903095; 0183p_WMO6903095; ARGOFL; Argo float; Biovolume; DATE/TIME; Event label; in situ imaging; LATITUDE; LONGITUDE; MOPGA-TAD; Particle concentration, fractionated; particle distribution; Pressure, water; Sample code/label; TRIATLAS; Tropical and South Atlantic climate-based marine ecosystem predictions for sustainable management; Tropical Atlantic Deoxygenation: gateway dynamics, feedback mechanisms and ecosystem impacts; Volume
    Type: Dataset
    Format: text/tab-separated-values, 2518238 data points
    Location Call Number Limitation Availability
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  • 4
    Publication Date: 2024-03-01
    Keywords: [BUCKET-10]; [CABLE]+[sbe19]+[NISKIN]; [CABLE]+[sbe9S]+[NISKIN]; [CSSS]; [day/night] [deep chlorophyll maximum layer (ENVO:; [day/night] [surface water layer (ENVO:00002042)]; [day/night] [water layer with no specific feature]; [day]; [day] [200 m]; [day] [deep chlorophyll maximum layer (ENVO:010003; [day] [epipelagic mixed layer (ENVO:01000061)]; [day] [epipelagic mixed layer (ENVO:01000061)] [pr; [day] [integrated]; [day] [integrated] [protist sampling]; [day] [mesopelagic zone (ENVO:00000213)]; [day] [mesopelagic zone (ENVO:00000213)] [also lab; [day] [near bottom]; [day] [surface water layer (ENVO:00002042)]; [day] [surface water layer (ENVO:00002042)] [also; [day] [surface water layer (ENVO:00002042)] [Ancho; [day] [surface water layer (ENVO:00002042)] [Barce; [day] [surface water layer (ENVO:00002042)] [befor; [day] [surface water layer (ENVO:00002042)] [betwe; [day] [surface water layer (ENVO:00002042)] [Europ; [day] [surface water layer (ENVO:00002042)] [In vi; [day] [surface water layer (ENVO:00002042)] [Juan; [day] [surface water layer (ENVO:00002042)] [near; [day] [surface water layer (ENVO:00002042)] [neust; [day] [surface water layer (ENVO:00002042)] [NOT n; [day] [surface water layer (ENVO:00002042)] [Patag; [day] [surface water layer (ENVO:00002042)] [plast; [day] [surface water layer (ENVO:00002042)] [proti; [day] [surface water layer (ENVO:00002042)] [TARA_; [day] [water layer with no specific feature]; [day] [water layer with no specific feature] [also; [day] [water layer with no specific feature] [Barc; [day] [water layer with no specific feature] [imag; [day] [water layer with no specific feature] [Lago; [day] [water layer with no specific feature] [merc; [day] [water layer with no specific feature] [near; [day] [water layer with no specific feature] [NOT; [DECK-PUMP]; [FSWS]; [HVP-PUMP]; [near station 95]; [NET-BONGO-180]; [NET-BONGO-180]+[SIEVE-2000]; [NET-BONGO-300]; [NET-DOUBLE-20]+[SIEVE-180]; [NET-MANTA-OI-500]; [NET-MANTA-ST-500]; [NET-REGENT-680]; [NET-SINGLE-5]+[SIEVE-20]; [NET-WPII-200]; [NET-WPII-50]; [night] [deep chlorophyll maximum layer (ENVO:0100; [night] [epipelagic mixed layer (ENVO:01000061)]; [night] [mesopelagic zone (ENVO:00000213)]; [night] [surface water layer (ENVO:00002042)]; [night] [surface water layer (ENVO:00002042)] [Anc; [night] [surface water layer (ENVO:00002042)] [bef; [night] [surface water layer (ENVO:00002042)] [bet; [night] [surface water layer (ENVO:00002042)] [Mas; [night] [surface water layer (ENVO:00002042)] [nea; [night] [surface water layer (ENVO:00002042)] [neu; [night] [surface water layer (ENVO:00002042)] [pla; [night] [surface water layer (ENVO:00002042)] [pro; [night] [surface water layer (ENVO:00002042)] [TAR; [night] [water layer with no specific feature]; [night] [water layer with no specific feature] [al; [night] [water layer with no specific feature] [Ba; [night] [water layer with no specific feature] [im; [night] [water layer with no specific feature] [ne; [RVSS]; Absorption coefficient, colored dissolved organic matter at given wavelength; Abu Dhabi to Muscat, Stations: none; Algiers to Barcelona, Stations: TARA_008-011; Ascencion to Rio de Janiero, Stations: TARA_072-076; Athens to Beyrouth, Stations: TARA_027-028; Atseranana to Mamoudzou, Stations: TARA_053-054; Backscattering coefficient of particles, 470 nm; Basis of event; Bermuda to Horta, Stations: TARA_148-151; Beyrouth to Alexandria, Stations: TARA_029-030; Bizerte to Naples, Stations: TARA_014; Brunt-Väisälä frequency, squared; Bucket, plastic 10-L; Buenos Aires to Ushuaia, Stations: TARA_079b-083; calculated from 30-day avg. Kd490 (AMODIS) using eq. 9' in Morel et al. (2007); calculated from 30-day avg. Kd490 (AMODIS) using eq. 9 in Morel et al. (2007); calculated from AMODIS products; Calculated from GlobColour products (GSM algorithm); Calculated from GlobColour products (Lee's algorithm); Calculated from GlobColour products (Morel's algorithm); calculated from in situ sensor data, calibrated using factory settings; calculated from Kd(PAR)1 and 30-day avg. daily surface PAR (AMODIS); calculated from Kd(PAR)2 and 30-day avg. daily surface PAR (AMODIS); calculated from z(Secchi Disk) and 30-day average daily PAR (AMODIS); Campaign of event; CapeTown to Ascencion, Stations: TARA_067-071; Chlorophyll a; Continuous Surface Sampling System; CTD (sbe19) and Niskin bottles (8-L or 12-L) triggered with messengers; CTD (sbe9S) and Niskin bottles (8-L or 12-L) triggered with messengers; Date/Time of event; DECK-PUMP; Density, sigma-theta (0); Depth, bottom/max; Depth, nominal; Depth, top/min; Depth of chlorophyll maximum; Depth of maximum Brunt Väisälä frequency; Depth of maximum oxygen concentration; Depth of minimum oxygen concentration; Depth of nitracline; Depth of Secchi Disk; Depth of the euphotic zone; described in Pesant et al. (2017); Diffuse attenuation coefficient at 490 nm; Diffuse attenuation coefficient of PAR; Dubrovnik to Athens, Stations: TARA_025-026; Dudinka to Pevek, Stations: TARA_182-192; Easter Island to Guayaquil, Stations: TARA_098-102; Environmental feature; Event label; Fondation Tara Expeditions; FondTara; Guayaquil to Puerto Ayora, Stations: TARA_103-106; Guayaquil to Totegegie, Stations: TARA_110-113; High Volume Peristaltic Pump; Honolulu to San Diego, Stations: TARA_131-135; Horta to La Coruna, Stations: TARA_152-154; Ilulissat to Québec, Stations: TARA_208-210; Jeddah to Djibouti, Stations: TARA_034; Latitude of event; Lisbon to Tangier, Stations: TARA_003-004; Longitude of event; Lorient to Lisbon, Stations: TARA_001-002; Lorient to Tromsø, Stations: TARA_155-166; Malé to Saint Brandon, Stations: TARA_044-049; Mamoudzou to Cape Town, Stations: TARA_055-066; Measured in situ; Method/Device of event; Mixed layer depth, upper; MSN300; Multiple opening/closing net, 300 µm meshsize; Mumbai to Malé, Stations: TARA_041-043; Murmansk to Dudinka, Stations: TARA_167-181; Muscat to Mumbai, Stations: TARA_036-040; Naples to Valetta, Stations: TARA_015-017; Neuston net, type=Manta (ALGALITA), mesh(µm)=500, width(m)=0.70, length(m)=2.5; Neuston net, type=Manta (OI), mesh(µm)=500, width(m)=0.70, length(m)=2.5; New-York City to Bermuda, Stations: TARA_146-147; Nice to Bizerte, Stations: TARA_012-013; Nitrate; OCEANOMICS; On board filtered seawater system (〈0.2 micrometre); Oxygen; Panama City to Savannah, Stations: TARA_141-143; Papeete to Honolulu, Stations: TARA_126-130; Pevek to Tuktoyaktuk, Stations: TARA_193-199; PLA; Plankton net; Plankton net, type=Bongo, mesh(µm)=180, mouth(m^2)=0.258319, length(m)=3; Plankton net, type=Bongo, mesh(µm)=300, mouth(m^2)=0.258319, length(m)=3; Plankton net, type=Regent, mesh(µm)=680, mouth(m^2)=0.754296, length(m)=4; Plankton net, type=WPII, mesh(µm)=200, mouth(m^2)=0.248505, length(m)=2.75; Plankton net, type=WPII, mesh(µm)=50, mouth(m^2)=0.248505, length(m)=2.75; Plankton net+sieve, type=Bongo, mesh(µm)=180, mouth(m^2)=0.258319, length(m)=3; Plankton net+sieve, type=Double, mesh(µm)=20, mouth(m^2)=0.192442, length(m)=2.5; Plankton net+sieve, type=single, mesh(µm)=5, mouth(m^2)=0.196349, length(m)=2.5; Port Louis to Saint Denis, Stations: TARA_050-051; Puerto Ayora to Guayaquil, Stations: TARA_107-109; Puerto Montt to Valparaiso, Stations: TARA_090-092; Québec to Lorient, Stations: none; registered at PANGAEA, Data Publisher for Earth and Environmental Science; registered at the BioSamples database; registered at the European Nucleotides Archive (ENA); Rio de Janiero to Buenos Aires, Stations: TARA_077-079a; Rosette Vertical Sampling System; Saint Denis to Antseranana, Stations: TARA_052; Salinity; Sample code/label; Sample ID; Sample material; Sample method; San Diego to Panama City, Stations: TARA_136-140; Savannah to New-York City, Stations: TARA_144-145; Sharm El Sheikh to Jeddah, Stations: TARA_031-033; Size fraction, lower threshold; Size fraction, upper threshold; Station label; SV Tara; Taiohae harbour to Papeete, Stations: TARA_122-125;
    Type: Dataset
    Format: text/tab-separated-values, 3557534 data points
    Location Call Number Limitation Availability
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  • 5
    Publication Date: 2024-03-01
    Keywords: [BUCKET-10]; [CABLE]+[sbe19]+[NISKIN]; [CABLE]+[sbe9S]+[NISKIN]; [CSSS]; [day/night] [deep chlorophyll maximum layer (ENVO:; [day/night] [surface water layer (ENVO:00002042)]; [day/night] [water layer with no specific feature]; [day]; [day] [200 m]; [day] [deep chlorophyll maximum layer (ENVO:010003; [day] [epipelagic mixed layer (ENVO:01000061)]; [day] [epipelagic mixed layer (ENVO:01000061)] [pr; [day] [integrated]; [day] [integrated] [protist sampling]; [day] [mesopelagic zone (ENVO:00000213)]; [day] [mesopelagic zone (ENVO:00000213)] [also lab; [day] [near bottom]; [day] [surface water layer (ENVO:00002042)]; [day] [surface water layer (ENVO:00002042)] [also; [day] [surface water layer (ENVO:00002042)] [Ancho; [day] [surface water layer (ENVO:00002042)] [Barce; [day] [surface water layer (ENVO:00002042)] [befor; [day] [surface water layer (ENVO:00002042)] [betwe; [day] [surface water layer (ENVO:00002042)] [Europ; [day] [surface water layer (ENVO:00002042)] [In vi; [day] [surface water layer (ENVO:00002042)] [Juan; [day] [surface water layer (ENVO:00002042)] [near; [day] [surface water layer (ENVO:00002042)] [neust; [day] [surface water layer (ENVO:00002042)] [NOT n; [day] [surface water layer (ENVO:00002042)] [Patag; [day] [surface water layer (ENVO:00002042)] [plast; [day] [surface water layer (ENVO:00002042)] [proti; [day] [surface water layer (ENVO:00002042)] [TARA_; [day] [water layer with no specific feature]; [day] [water layer with no specific feature] [also; [day] [water layer with no specific feature] [Barc; [day] [water layer with no specific feature] [imag; [day] [water layer with no specific feature] [Lago; [day] [water layer with no specific feature] [merc; [day] [water layer with no specific feature] [near; [day] [water layer with no specific feature] [NOT; [DECK-PUMP]; [FSWS]; [HVP-PUMP]; [near station 95]; [NET-BONGO-180]; [NET-BONGO-180]+[SIEVE-2000]; [NET-BONGO-300]; [NET-DOUBLE-20]+[SIEVE-180]; [NET-MANTA-OI-500]; [NET-MANTA-ST-500]; [NET-REGENT-680]; [NET-SINGLE-5]+[SIEVE-20]; [NET-WPII-200]; [NET-WPII-50]; [night] [deep chlorophyll maximum layer (ENVO:0100; [night] [epipelagic mixed layer (ENVO:01000061)]; [night] [mesopelagic zone (ENVO:00000213)]; [night] [surface water layer (ENVO:00002042)]; [night] [surface water layer (ENVO:00002042)] [Anc; [night] [surface water layer (ENVO:00002042)] [bef; [night] [surface water layer (ENVO:00002042)] [bet; [night] [surface water layer (ENVO:00002042)] [Mas; [night] [surface water layer (ENVO:00002042)] [nea; [night] [surface water layer (ENVO:00002042)] [neu; [night] [surface water layer (ENVO:00002042)] [pla; [night] [surface water layer (ENVO:00002042)] [pro; [night] [surface water layer (ENVO:00002042)] [TAR; [night] [water layer with no specific feature]; [night] [water layer with no specific feature] [al; [night] [water layer with no specific feature] [Ba; [night] [water layer with no specific feature] [im; [night] [water layer with no specific feature] [ne; [RVSS]; Abu Dhabi to Muscat, Stations: none; Age; Algiers to Barcelona, Stations: TARA_008-011; Ammonium; Ammonium, standard deviation; Ascencion to Rio de Janiero, Stations: TARA_072-076; Athens to Beyrouth, Stations: TARA_027-028; Atseranana to Mamoudzou, Stations: TARA_053-054; Basis of event; Bermuda to Horta, Stations: TARA_148-151; Beyrouth to Alexandria, Stations: TARA_029-030; Biogeographical province; Bizerte to Naples, Stations: TARA_014; Bucket, plastic 10-L; Buenos Aires to Ushuaia, Stations: TARA_079b-083; Calculated (d'Ovidio et al. 2010); Calculated by vertical integration of fluorescence profiles 0-200 m or bottom; calculated from AMODIS products; Calculated from Astronomical Applicationsof the U.S. Naval Observatory; Calculated from GlobColour products (GSM algorithm); Calculated from GlobColour products (MERIS C2R Neural Network algorithm); Calculated from NISDC satellite products; Calculated from Takuvik satellite products; calculated from VGPM products; Calculated using the Arctic-adapted UQAR-TAKUVIK model; Calculated using the Darwin model; Campaign of event; CapeTown to Ascencion, Stations: TARA_067-071; Carbon, inorganic, particulate; Chlorophyll a, areal concentration; Continuous Surface Sampling System; CTD (sbe19) and Niskin bottles (8-L or 12-L) triggered with messengers; CTD (sbe9S) and Niskin bottles (8-L or 12-L) triggered with messengers; Date/Time of event; DECK-PUMP; Depth, bathymetric; Depth, bottom/max; Depth, nominal; Depth, top/min; described in Pesant et al. (2017); Distance; Dubrovnik to Athens, Stations: TARA_025-026; Dudinka to Pevek, Stations: TARA_182-192; Easter Island to Guayaquil, Stations: TARA_098-102; Environmental feature; Event label; Fondation Tara Expeditions; FondTara; Geostrophic velocity, latitudinal; Geostrophic velocity, longitudinal; Guayaquil to Puerto Ayora, Stations: TARA_103-106; Guayaquil to Totegegie, Stations: TARA_110-113; High Volume Peristaltic Pump; Honolulu to San Diego, Stations: TARA_131-135; Horta to La Coruna, Stations: TARA_152-154; IHO General Sea Areas (1953) registered at www.marineregions.org; Ilulissat to Québec, Stations: TARA_208-210; Iron, standard deviation; Iron, total; Jeddah to Djibouti, Stations: TARA_034; LATITUDE; Latitude of event; Lisbon to Tangier, Stations: TARA_003-004; Longhurst (2007); Longhurst (2007) registered at marineregions.org; LONGITUDE; Longitude of event; Lorient to Lisbon, Stations: TARA_001-002; Lorient to Tromsø, Stations: TARA_155-166; Malé to Saint Brandon, Stations: TARA_044-049; Mamoudzou to Cape Town, Stations: TARA_055-066; Marine biome; Maximum Lyapunov exponent; Method/Device of event; Moon phase, nominal; Moon phase, proportion; MSN300; Multiple opening/closing net, 300 µm meshsize; Mumbai to Malé, Stations: TARA_041-043; Murmansk to Dudinka, Stations: TARA_167-181; Muscat to Mumbai, Stations: TARA_036-040; Naples to Valetta, Stations: TARA_015-017; Net primary production of carbon; Neuston net, type=Manta (ALGALITA), mesh(µm)=500, width(m)=0.70, length(m)=2.5; Neuston net, type=Manta (OI), mesh(µm)=500, width(m)=0.70, length(m)=2.5; New-York City to Bermuda, Stations: TARA_146-147; Nice to Bizerte, Stations: TARA_012-013; Nitrate; Nitrate, standard deviation; Nitrite; Nitrite, standard deviation; Ocean and sea region; OCEANOMICS; Okubo-Weiss parameter; On board filtered seawater system (〈0.2 micrometre); Panama City to Savannah, Stations: TARA_141-143; Papeete to Honolulu, Stations: TARA_126-130; Particulate organic carbon; Pevek to Tuktoyaktuk, Stations: TARA_193-199; PLA; Plankton net; Plankton net, type=Bongo, mesh(µm)=180, mouth(m^2)=0.258319, length(m)=3; Plankton net, type=Bongo, mesh(µm)=300, mouth(m^2)=0.258319, length(m)=3; Plankton net, type=Regent, mesh(µm)=680, mouth(m^2)=0.754296, length(m)=4; Plankton net, type=WPII, mesh(µm)=200, mouth(m^2)=0.248505, length(m)=2.75; Plankton net, type=WPII, mesh(µm)=50, mouth(m^2)=0.248505, length(m)=2.75; Plankton net+sieve, type=Bongo, mesh(µm)=180, mouth(m^2)=0.258319, length(m)=3; Plankton net+sieve, type=Double, mesh(µm)=20, mouth(m^2)=0.192442, length(m)=2.5; Plankton net+sieve, type=single, mesh(µm)=5, mouth(m^2)=0.196349, length(m)=2.5; Port Louis to Saint Denis, Stations: TARA_050-051; Puerto Ayora to Guayaquil, Stations: TARA_107-109; Puerto Montt to Valparaiso, Stations: TARA_090-092; Québec to Lorient, Stations: none; Radiation, photosynthetically active per day; registered at PANGAEA, Data Publisher for Earth and Environmental Science; registered at the BioSamples database; registered at the European Nucleotides Archive (ENA); reported on logsheets or by data curators; Residence time; Rio de Janiero to Buenos Aires, Stations: TARA_077-079a; Rosette Vertical Sampling System; Saint Denis to Antseranana, Stations: TARA_052; Sample code/label; Sample ID; Sample material; Sample method; San Diego to Panama City, Stations: TARA_136-140; Savannah to New-York City, Stations: TARA_144-145; Sea ice concentration; Sea Ice free period,
    Type: Dataset
    Format: text/tab-separated-values, 1847508 data points
    Location Call Number Limitation Availability
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  • 6
    Publication Date: 2024-04-27
    Description: The present data set provides contextual environmental data for samples from the Tara Oceans Expedition (2009-2013) that were selected for publication in a special issue of the SCIENCE journal (see related references below). The data set provides calculated averages of mesaurements made at the sampling location and depth, calculated averages from climatologies (AMODIS, VGPM) and satellite products.
    Keywords: [day] [deep chlorophyll maximum layer (ENVO:010003; [day] [epipelagic mixed layer (ENVO:01000061)]; [day] [epipelagic mixed layer (ENVO:01000061)] [pr; [day] [mesopelagic zone (ENVO:00000213)]; [day] [mesopelagic zone (ENVO:00000213)] [also lab; [day] [surface water layer (ENVO:00002042)]; [day] [surface water layer (ENVO:00002042)] [also; [day] [surface water layer (ENVO:00002042)] [proti; [day] [water layer with no specific feature]; [HVP-PUMP]; [NET-BONGO-180]+[SIEVE-2000]; [NET-DOUBLE-20]+[SIEVE-180]; [NET-SINGLE-5]+[SIEVE-20]; [night] [deep chlorophyll maximum layer (ENVO:0100; [night] [surface water layer (ENVO:00002042)] [pro; [RVSS]; Algiers to Barcelona, Stations: TARA_008-011; Angular scattering coefficient, 470 nm; Ascencion to Rio de Janiero, Stations: TARA_072-076; Backscattering coefficient of particles, 470 nm; Beam attenuation coefficient of particles; Bermuda to Horta, Stations: TARA_148-151; Beyrouth to Alexandria, Stations: TARA_029-030; Buenos Aires to Ushuaia, Stations: TARA_079b-083; Calculated (d'Ovidio et al. 2010); calculated from AMODIS products; calculated from in situ sensor data, calibrated using factory settings; calculated from in situ sensor data, calibrated using water samples; calculated from in situ sensor data, calibrated using WOA09 climatology; calculated from measurements on available water samples; calculated from VGPM products; CapeTown to Ascencion, Stations: TARA_067-071; Chlorophyll a; Conductivity; Density, sigma-theta (0); DEPTH, water; Depth of chlorophyll maximum; Depth of maximum Brunt Väisälä frequency; Depth of maximum oxygen concentration; Depth of minimum oxygen concentration; Depth of nitracline; Dubrovnik to Athens, Stations: TARA_025-026; Easter Island to Guayaquil, Stations: TARA_098-102; Environmental feature; Event label; Fluorescence, colored dissolved organic matter; Fondation Tara Expeditions; FondTara; Geostrophic velocity, latitudinal; Geostrophic velocity, longitudinal; Guayaquil to Totegegie, Stations: TARA_110-113; High Volume Peristaltic Pump; Honolulu to San Diego, Stations: TARA_131-135; Horta to La Coruna, Stations: TARA_152-154; Jeddah to Djibouti, Stations: TARA_034; Lisbon to Tangier, Stations: TARA_003-004; Malé to Saint Brandon, Stations: TARA_044-049; Mamoudzou to Cape Town, Stations: TARA_055-066; Maximum Lyapunov exponent; Mixed layer depth; Moon phase, nominal; Moon phase, proportion; Mumbai to Malé, Stations: TARA_041-043; Muscat to Mumbai, Stations: TARA_036-040; Naples to Valetta, Stations: TARA_015-017; Net primary production of carbon; New-York City to Bermuda, Stations: TARA_146-147; Nitrate; Nitrate and Nitrite; Nitrite; Okubo-Weiss parameter; Optical backscattering coefficient, 470 nm; Optical beam attenuation coefficient, 660 nm; Oxygen; Panama City to Savannah, Stations: TARA_141-143; Papeete to Honolulu, Stations: TARA_126-130; Phosphate; Plankton net+sieve, type=Bongo, mesh(µm)=180, mouth(m^2)=0.258319, length(m)=3; Plankton net+sieve, type=Double, mesh(µm)=20, mouth(m^2)=0.192442, length(m)=2.5; Plankton net+sieve, type=single, mesh(µm)=5, mouth(m^2)=0.196349, length(m)=2.5; Puerto Ayora to Guayaquil, Stations: TARA_107-109; Radiation, photosynthetically active per day; Residence time; Rio de Janiero to Buenos Aires, Stations: TARA_077-079a; Rosette Vertical Sampling System; Saint Denis to Antseranana, Stations: TARA_052; Salinity; Sample ID; San Diego to Panama City, Stations: TARA_136-140; Savannah to New-York City, Stations: TARA_144-145; Season; Sea surface temperature gradient, horizontal; Sharm El Sheikh to Jeddah, Stations: TARA_031-033; Silicate; Station label; Sunshine duration; SV Tara; Taiohae harbour to Papeete, Stations: TARA_122-125; Tangier to Algiers, Stations: TARA_005-007; TARA_20090913Z; TARA_20090915T1130Z_004_EVENT_PUMP; TARA_20090915T1500Z_004_EVENT_NET; TARA_20090915T1600Z_004_EVENT_NET; TARA_20090915T1800Z_004_EVENT_PUMP; TARA_20090919Z; TARA_20090923T1250Z_007_EVENT_PUMP; TARA_20090923T1439Z_007_EVENT_NET; TARA_20090923T1608Z_007_EVENT_PUMP; TARA_20090923T1754Z_007_EVENT_NET; TARA_20090923T1811Z_007_EVENT_NET; TARA_20090923T1832Z_007_EVENT_NET; TARA_20090926Z; TARA_20090928T1218Z_009_EVENT_PUMP; TARA_20090928T1508Z_009_EVENT_NET; TARA_20090928T1522Z_009_EVENT_NET; TARA_20090928T1659Z_009_EVENT_PUMP; TARA_20091004T0830Z_011_EVENT_PUMP; TARA_20091004T1416Z_011_EVENT_NET; TARA_20091004T1530Z_011_EVENT_NET; TARA_20091025Z; TARA_20091027T0822Z_016_EVENT_PUMP; TARA_20091027T1350Z_016_EVENT_PUMP; TARA_20091031Z; TARA_20091102T0813Z_018_EVENT_PUMP; TARA_20091102T1031Z_018_EVENT_NET; TARA_20091102T1125Z_018_EVENT_NET; TARA_20091102T1407Z_018_EVENT_PUMP; TARA_20091102T1415Z_018_EVENT_NET; TARA_20091102T1430Z_018_EVENT_NET; TARA_20091111Z; TARA_20091112T1220Z_020_EVENT_NET; TARA_20091112T1409Z_020_EVENT_PUMP; TARA_20091112T1744Z_020_EVENT_NET; TARA_20091116T0816Z_022_EVENT_PUMP; TARA_20091116T0937Z_022_EVENT_NET; TARA_20091116T1340Z_022_EVENT_NET; TARA_20091116T1453Z_022_EVENT_PUMP; TARA_20091116T1703Z_022_EVENT_NET; TARA_20091116T1953Z_022_EVENT_NET; TARA_20091118T0841Z_023_EVENT_PUMP; TARA_20091118T1017Z_023_EVENT_NET; TARA_20091118T1240Z_023_EVENT_PUMP; TARA_20091118T1256Z_023_EVENT_NET; TARA_20091118T1352Z_023_EVENT_NET; TARA_20091118T1632Z_023_EVENT_NET; TARA_20091121T1110Z_024_EVENT_PUMP; TARA_20091121T1135Z_024_EVENT_NET; TARA_20091121T1319Z_024_EVENT_NET; TARA_20091122Z; TARA_20091123T0912Z_025_EVENT_PUMP; TARA_20091123T0914Z_025_EVENT_NET; TARA_20091123T1102Z_025_EVENT_NET; TARA_20091123T1308Z_025_EVENT_NET; TARA_20091123T1352Z_025_EVENT_PUMP; TARA_20091123T1620Z_025_EVENT_NET; TARA_20091124T0740Z_026_EVENT_PUMP; TARA_20091124T0744Z_026_EVENT_NET; TARA_20091124T0945Z_026_EVENT_NET; TARA_20091214Z; TARA_20091215T1041Z_030_EVENT_PUMP; TARA_20091215T1113Z_030_EVENT_NET; TARA_20091215T1244Z_030_EVENT_NET; TARA_20091215T1305Z_030_EVENT_NET; TARA_20091215T1512Z_030_Combined-EVENTS_CAST; TARA_20100108Z; TARA_20100109T0715Z_031_EVENT_PUMP; TARA_20100109T0737Z_031_EVENT_NET; TARA_20100109T0925Z_031_EVENT_NET; TARA_20100111T0721Z_032_EVENT_NET; TARA_20100111T0721Z_032_EVENT_PUMP; TARA_20100111T0837Z_032_EVENT_NET; TARA_20100111T1228Z_032_EVENT_NET; TARA_20100111T1415Z_032_EVENT_NET; TARA_20100111T1417Z_032_EVENT_PUMP; TARA_20100113T0716Z_033_EVENT_PUMP; TARA_20100113T0720Z_033_EVENT_NET; TARA_20100113T1010Z_033_EVENT_NET; TARA_20100113T1102Z_033_EVENT_CAST; TARA_20100118Z; TARA_20100120T0427Z_034_EVENT_PUMP; TARA_20100120T0445Z_034_EVENT_NET; TARA_20100120T0801Z_034_EVENT_NET; TARA_20100120T1040Z_034_EVENT_NET; TARA_20100120T1150Z_034_EVENT_PUMP; TARA_20100120T1415Z_034_EVENT_NET; TARA_20100309Z; TARA_20100312T0606Z_036_EVENT_NET; TARA_20100312T0606Z_036_EVENT_PUMP; TARA_20100312T1024Z_036_EVENT_NET; TARA_20100312T1105Z_036_EVENT_NET; TARA_20100312T1120Z_036_EVENT_NET; TARA_20100312T1223Z_036_EVENT_PUMP; TARA_20100313T0507Z_037_Combined-EVENTS_CAST; TARA_20100315T0335Z_038_EVENT_PUMP; TARA_20100315T0337Z_038_EVENT_NET; TARA_20100315T0531Z_038_EVENT_NET; TARA_20100315T1002Z_038_EVENT_NET; TARA_20100315T1020Z_038_EVENT_NET; TARA_20100315T1118Z_038_EVENT_PUMP; TARA_20100316T0614Z_038_Combined-EVENTS_CAST; TARA_20100318T0427Z_039_EVENT_PUMP; TARA_20100318T0505Z_039_EVENT_NET; TARA_20100318T0820Z_039_EVENT_NET; TARA_20100318T0940Z_039_EVENT_NET; TARA_20100318T1041Z_039_EVENT_NET; TARA_20100318T1133Z_039_EVENT_PUMP; TARA_20100320T0817Z_039_Combined-EVENTS_CAST; TARA_20100327Z; TARA_20100330T0245Z_041_EVENT_NET; TARA_20100330T0247Z_041_EVENT_PUMP; TARA_20100330T0532Z_041_EVENT_NET; TARA_20100330T0917Z_041_EVENT_NET; TARA_20100330T0936Z_041_EVENT_NET; TARA_20100330T1056Z_041_EVENT_PUMP; TARA_20100404T0247Z_042_EVENT_PUMP; TARA_20100404T0304Z_042_EVENT_NET; TARA_20100404T0527Z_042_EVENT_NET; TARA_20100404T0828Z_042_EVENT_NET; TARA_20100404T0848Z_042_EVENT_NET; TARA_20100404T0950Z_042_EVENT_PUMP; TARA_20100410Z; TARA_20100411T0354Z_044_EVENT_PUMP; TARA_20100413T0246Z_045_EVENT_NET; TARA_20100413T0321Z_045_EVENT_PUMP;
    Type: Dataset
    Format: text/tab-separated-values, 24718 data points
    Location Call Number Limitation Availability
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  • 7
    Publication Date: 2020-02-06
    Description: Trade-wind cumuli constitute the cloud type with the highest frequency of occurrence on Earth, and it has been shown that their sensitivity to changing environmental conditions will critically influence the magnitude and pace of future global warming. Research over the last decade has pointed out the importance of the interplay between clouds, convection and circulation in controling this sensitivity. Numerical models represent this interplay in diverse ways, which translates into different responses of trade-cumuli to climate perturbations. Climate models predict that the area covered by shallow cumuli at cloud base is very sensitive to changes in environmental conditions, while process models suggest the opposite. To understand and resolve this contradiction, we propose to organize a field campaign aimed at quantifying the physical properties of trade-cumuli (e.g., cloud fraction and water content) as a function of the large-scale environment. Beyond a better understanding of clouds-circulation coupling processes, the campaign will provide a reference data set that may be used as a benchmark for advancing the modelling and the satellite remote sensing of clouds and circulation. It will also be an opportunity for complementary investigations such as evaluating model convective parameterizations or studying the role of ocean mesoscale eddies in air–sea interactions and convective organization
    Type: Article , PeerReviewed
    Format: text
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  • 8
    Publication Date: 2021-02-08
    Description: The GEOTRACES Intermediate Data Product 2017 (IDP2017) is the second publicly available data product of the international GEOTRACES programme, and contains data measured and quality controlled before the end of 2016. The IDP2017 includes data from the Atlantic, Pacific, Arctic, Southern and Indian oceans, with about twice the data volume of the previous IDP2014. For the first time, the IDP2017 contains data for a large suite of biogeochemical parameters as well as aerosol and rain data characterising atmospheric trace element and isotope (TEI) sources. The TEI data in the IDP2017 are quality controlled by careful assessment of intercalibration results and multi-laboratory data comparisons at crossover stations. The IDP2017 consists of two parts: (1) a compilation of digital data for more than 450 TEIs as well as standard hydrographic parameters, and (2) the eGEOTRACES Electronic Atlas providing an on-line atlas that includes more than 590 section plots and 130 animated 3D scenes. The digital data are provided in several formats, including ASCII, Excel spreadsheet, netCDF, and Ocean Data View collection. Users can download the full data packages or make their own custom selections with a new on-line data extraction service. In addition to the actual data values, the IDP2017 also contains data quality flags and 1-σ data error values where available. Quality flags and error values are useful for data filtering and for statistical analysis. Metadata about data originators, analytical methods and original publications related to the data are linked in an easily accessible way. The eGEOTRACES Electronic Atlas is the visual representation of the IDP2017 as section plots and rotating 3D scenes. The basin-wide 3D scenes combine data from many cruises and provide quick overviews of large-scale tracer distributions. These 3D scenes provide geographical and bathymetric context that is crucial for the interpretation and assessment of tracer plumes near ocean margins or along ridges. The IDP2017 is the result of a truly international effort involving 326 researchers from 22 countries. This publication provides the critical reference for unpublished data, as well as for studies that make use of a large cross-section of data from the IDP2017.
    Type: Article , PeerReviewed
    Format: text
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  • 9
    Publication Date: 2014-12-08
    Description: The spatial distribution, biogeochemical cycle and external sources of dissolved cobalt (DCo) were investigated in the southeastern Atlantic and the Southern Ocean between 33°58′S and 57°33′S along the Greenwich Meridian during the austral summer 2008 in the framework of the International Polar Year. DCo concentrations were measured by flow-injection analysis and chemiluminescence detection in filtered (0.2 μm), acidified and UV-digested samples at 12 deep stations in order to resolve the several biogeochemical provinces of the Antarctic Circumpolar Current and to assess the vertical and frontal structures in the Atlantic sector of the Southern Ocean. We measured DCo ranging from 5.73 ± 1.15 pM to 72.9 ± 4.51 pM. The distribution of DCo was nutrient-like in surface waters of the subtropical domain with low concentrations in the euphotic layer due to biological uptake. The biological utilization of dissolved cobalt was proportional to that of phosphate in the subtropical domain with a DCo:HPO42− depletion ratio of ~ 44 μM M−1. In deeper waters the distribution indicated remineralization of DCo and inputs from the margins of South Africa with lateral advection of enriched intermediate and deep waters to the southeastern Atlantic Ocean. In contrast the vertical distribution of DCo changed southward, from a nutrient-like distribution in the subtropical domain to scavenged-type behavior in the domain of the Antarctic Circumpolar Current and conservative distribution in the Weddell Gyre. There the cycle of DCo featured low biological removal by Antarctic diatoms with input to surface waters by snow, removal in oxygenated surface waters, and dissolution and stabilization in the low-oxygenated Upper Circumpolar Deep Waters. DCo distributions and physical hydro-dynamics features also suggest inputs from the Drake Passage and the southwestern Atlantic to the 0° meridian along the eastward flow of the Antarctic Circumpolar Current. Bottom enrichment of DCo in the Antarctic Bottom Waters was also evident, together with increasing water-mass pathway and aging, possibly due to sediment resuspension and/or mixing with North Atlantic Deep waters in the Cape Basin. Overall atmospheric input of soluble Co by dry aerosols to the surface waters was low but higher in the ACC domain than in the northern part of the section. At the highest latitudes, it is possible that snowfall could be a source of DCo to surface waters. Tentative budgets for DCo in the mixed layer of the subtropical and the ACC domains have been constructed for each biogeochemical region encountered during the cruise. The estimated DCo uptake flux was found to be the dominant cobalt flux along the section. This flux decreases southward, which is consistent with the observations that DCo shows a southward transition from nutrient-like towards conservative distribution in the mixed layer.
    Type: Article , PeerReviewed
    Format: text
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  • 10
    Publication Date: 2020-06-26
    Description: Highlights: • GEOTRACES releases its first integrated and quality controlled Intermediate Data Product 2014 (IDP2014). • The IDP2014 digital data are available at http://www.bodc.ac.uk/geotraces/data/idp2014/ in 4 different formats. • The eGEOTRACES Electronic Atlas at http://egeotraces.org/ provides 329 section plots and 90 animated 3D tracer scenes. • The new 3D scenes provide geographical and bathymetric context crucial for tracer assessment and interpretation. Abstract: The GEOTRACES Intermediate Data Product 2014 (IDP2014) is the first publicly available data product of the international GEOTRACES programme, and contains data measured and quality controlled before the end of 2013. It consists of two parts: (1) a compilation of digital data for more than 200 trace elements and isotopes (TEIs) as well as classical hydrographic parameters, and (2) the eGEOTRACES Electronic Atlas providing a strongly inter-linked on-line atlas including more than 300 section plots and 90 animated 3D scenes. The IDP2014 covers the Atlantic, Arctic, and Indian oceans, exhibiting highest data density in the Atlantic. The TEI data in the IDP2014 are quality controlled by careful assessment of intercalibration results and multi-laboratory data comparisons at cross-over stations. The digital data are provided in several formats, including ASCII spreadsheet, Excel spreadsheet, netCDF, and Ocean Data View collection. In addition to the actual data values the IDP2014 also contains data quality flags and 1-σ data error values where available. Quality flags and error values are useful for data filtering. Metadata about data originators, analytical methods and original publications related to the data are linked to the data in an easily accessible way. The eGEOTRACES Electronic Atlas is the visual representation of the IDP2014 data providing section plots and a new kind of animated 3D scenes. The basin-wide 3D scenes allow for viewing of data from many cruises at the same time, thereby providing quick overviews of large-scale tracer distributions. In addition, the 3D scenes provide geographical and bathymetric context that is crucial for the interpretation and assessment of observed tracer plumes, as well as for making inferences about controlling processes.
    Type: Article , PeerReviewed
    Format: text
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