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  • 1
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    Unknown
    PANGAEA
    In:  Supplement to: García-Corral, Lara S; Holding, Johnna; Carrillo-de-Albornoz, Paloma; Steckbauer, Alexandra; Pérez-Lorenzo, Maria; Navarro, Nuria; Serret, Pablo; Gasol, Josep M; Morán, Xosé Anxelu G; Estrada, Marta; Fraile-Nuez, Eugenio; Benítez-Barrios, Verónica M; Agustí, Susana; Duarte, Carlos Manuel (2017): Temperature dependence of plankton community metabolism in the subtropical and tropical ocean. Global Biogeochemical Cycles, 31(7), 1141-1154, https://doi.org/10.1002/2017GB005629
    Publication Date: 2023-07-05
    Description: Here we assess the temperature dependence of the metabolic rates (gross primary production - GPP, community respiration - CR and the ratio GPP/CR) of oceanic plankton communities. We compile data from 133 stations of the Malaspina 2010 Expedition, distributed among the subtropical and tropical Atlantic, Pacific and Indian oceans. We used the in vitro technique to measured metabolic rates during 24 h incubations at three different sampled depths: surface, 20% and 1% of the photosynthetically active radiation measured at surface. We also measured the % of ultraviolet B radiation (UVB) penetrating at surface waters. GPP and CR rates increased with warming, albeit different responses were observed for each sampled depth. The overall GPP/CR ratio declined with warming. Higher activation energies (Ea's) were derived for both processes (GPPChla = 0.97; CRChla = 1.26; CRHPA= 0.95 eV) compared to those previously reported. The Indian Ocean showed the highest Ea (GPPChla = 1.70; CRChla = 1.48; CRHPA= 0.57 eV), while the Atlantic Ocean showed the lowest (GPPChla = 0.86; CRChla = 0.77; CRHPA= -0.13 eV). We believe that the difference between previous assessments and the ones presented here can be explained by the overrepresentation of Atlantic communities in the previous data sets. We found that UVB radiation also affects the temperature dependence of surface GPP, which decreased rather than increased under high levels of UVB. Ocean warming, which causes stratification and oligotrophication of the subtropical and tropical oceans, may lead to reduced surface GPP as a result of increased penetration of UVB radiation.
    Keywords: 29HE20101215; 29HE20110117; 29HE20110211; 29HE20110317; 29HE20110416; 29HE20110513; 29HE20110619; Bio-Rosette; BRO; Canarias Sea; Caribbean Sea; Chlorophyll a; DATE/TIME; DEPTH, water; Depth comment; Event label; Gross primary production/Respiration rate ratio; Gross primary production of oxygen; Gross primary production of oxygen, standard error; Hespérides; Indian Ocean; LATITUDE; LONGITUDE; MALASPINA_LEG1; MALASPINA_LEG1_003-2; MALASPINA_LEG1_006-2; MALASPINA_LEG1_007-2; MALASPINA_LEG1_008-2; MALASPINA_LEG1_009-2; MALASPINA_LEG1_010-2; MALASPINA_LEG1_011-2; MALASPINA_LEG1_012-2; MALASPINA_LEG1_013-2; MALASPINA_LEG1_014-2; MALASPINA_LEG1_015-2; MALASPINA_LEG1_016-2; MALASPINA_LEG1_017-2; MALASPINA_LEG1_018-2; MALASPINA_LEG1_019-2; MALASPINA_LEG1_020-2; MALASPINA_LEG1_021-2; MALASPINA_LEG1_022-2; MALASPINA_LEG1_023-2; MALASPINA_LEG1_024-2; MALASPINA_LEG1_025-2; MALASPINA_LEG2; MALASPINA_LEG2_027-2; MALASPINA_LEG2_028-2; MALASPINA_LEG2_029-2; MALASPINA_LEG2_030-2; MALASPINA_LEG2_031-2; MALASPINA_LEG2_032-2; MALASPINA_LEG2_033-2; MALASPINA_LEG2_034-2; MALASPINA_LEG2_035-2; MALASPINA_LEG2_037-2; MALASPINA_LEG2_038-2; MALASPINA_LEG2_040-2; MALASPINA_LEG2_041-2; MALASPINA_LEG2_042-2; MALASPINA_LEG2_043-2; MALASPINA_LEG2_044-2; MALASPINA_LEG3; MALASPINA_LEG3_045-2; MALASPINA_LEG3_046-2; MALASPINA_LEG3_047-2; MALASPINA_LEG3_048-2; MALASPINA_LEG3_049-2; MALASPINA_LEG3_050-2; MALASPINA_LEG3_051-2; MALASPINA_LEG3_052-2; MALASPINA_LEG3_053-2; MALASPINA_LEG3_054-2; MALASPINA_LEG3_055-2; MALASPINA_LEG3_056-2; MALASPINA_LEG3_057-2; MALASPINA_LEG3_058-2; MALASPINA_LEG3_059-2; MALASPINA_LEG3_060-2; MALASPINA_LEG3_061-2; MALASPINA_LEG3_062-2; MALASPINA_LEG3_063-2; MALASPINA_LEG3_064-2; MALASPINA_LEG3_065-2; MALASPINA_LEG3_066-2; MALASPINA_LEG3_067-2; MALASPINA_LEG3_068-2; MALASPINA_LEG4; MALASPINA_LEG4_069-2; MALASPINA_LEG4_070-2; MALASPINA_LEG4_071-2; MALASPINA_LEG4_072-2; MALASPINA_LEG4_073-2; MALASPINA_LEG4_074-2; MALASPINA_LEG4_075-2; MALASPINA_LEG4_076-2; MALASPINA_LEG4_077-2; MALASPINA_LEG4_078-2; MALASPINA_LEG5; MALASPINA_LEG5_079-2; MALASPINA_LEG5_082-2; MALASPINA_LEG5_083-2; MALASPINA_LEG5_084-2; MALASPINA_LEG5_085-2; MALASPINA_LEG5_086-2; MALASPINA_LEG5_087-2; MALASPINA_LEG5_088-2; MALASPINA_LEG5_090-2; MALASPINA_LEG5_091-2; MALASPINA_LEG5_092-2; MALASPINA_LEG5_093-2; MALASPINA_LEG5_094-2; MALASPINA_LEG5_095-2; MALASPINA_LEG5_096-2; MALASPINA_LEG5_097-2; MALASPINA_LEG5_098-2; MALASPINA_LEG5_099-2; MALASPINA_LEG6; MALASPINA_LEG6_101-2; MALASPINA_LEG6_102-2; MALASPINA_LEG6_103-2; MALASPINA_LEG6_104-2; MALASPINA_LEG6_106-2; MALASPINA_LEG6_107-2; MALASPINA_LEG6_108-2; MALASPINA_LEG6_109-2; MALASPINA_LEG6_110-2; MALASPINA_LEG6_111-2; MALASPINA_LEG6_112-2; MALASPINA_LEG6_113-2; MALASPINA_LEG6_114-2; MALASPINA_LEG6_115-2; MALASPINA_LEG6_116-2; MALASPINA_LEG6_117-2; MALASPINA_LEG6_118-2; MALASPINA_LEG6_119-2; MALASPINA_LEG6_120-2; MALASPINA_LEG6_121-2; MALASPINA_LEG6_122-2; MALASPINA_LEG6_123-2; MALASPINA_LEG6_124-2; MALASPINA_LEG6_125-2; MALASPINA_LEG7; MALASPINA_LEG7_127-2; MALASPINA_LEG7_128-2; MALASPINA_LEG7_129-2; MALASPINA_LEG7_130-2; MALASPINA_LEG7_131-2; MALASPINA_LEG7_132-2; MALASPINA_LEG7_133-2; MALASPINA_LEG7_134-2; MALASPINA_LEG7_135-2; MALASPINA_LEG7_136-2; MALASPINA_LEG7_137-2; MALASPINA_LEG7_138-2; MALASPINA_LEG7_139-2; MALASPINA_LEG7_140-2; MALASPINA_LEG7_141-2; MALASPINA_LEG7_142-2; MALASPINA_LEG7_143-2; MALASPINA_LEG7_144-2; MALASPINA_LEG7_145-2; MALASPINA_LEG7_146-2; MH005_003; MH008_006; MH009_007; MH010_008; MH011_009; MH012_010; MH013_011; MH014_012; MH015_013; MH016_014; MH017_015; MH018_016; MH019_017; MH020_018; MH021_019; MH022_020; MH023_021; MH024_022; MH025_023; MH026_024; MH027_025; MH036_027; MH037_028; MH038_029; MH039_030; MH040_031; MH041_032; MH042_033; MH043_034; MH044_035; MH046_037; MH047_038; MH049_040; MH050_041; MH051_042; MH052_043; MH053_044; MH061_045; MH062_046; MH063_047; MH064_048; MH065_049; MH066_050; MH067_051; MH072_052; MH073_053; MH074_054; MH075_055; MH076_056; MH077_057; MH078_058; MH079_059; MH080_060; MH081_061; MH082_062; MH083_063; MH084_064; MH086_066; MH087_067; MH095_069; MH096_070; MH097_071; MH098_072; MH099_073; MH100_074; MH101_075; MH103_077; MH104_078; MH124_080; MH126_082; MH127_083; MH128_084; MH129_085; MH130_086; MH131_087; MH132_088; MH134_090; MH135_091; MH136_092; MH137_093; MH138_094; MH139_095; MH140_096; MH141_097; MH142_098; MH143_099; MH150_101; MH151_102; MH152_103; MH153_104; MH155_106; MH156_107; MH157_108; MH158_109; MH159_110; MH160_111; MH161_112; MH162_113; MH163_114; MH164_115; MH165_116; MH166_117; MH167_118; MH169_120; MH170_121; MH171_122; MH172_123; MH173_124; MH174_125; MH188_127; MH189_128; MH190_129; MH191_130; MH193_131; MH194_132; MH195_133; MH196_134; MH197_135; MH198_136; MH199_137; MH200_138; MH201_139; MH202_140; MH203_141; MH204_142; MH205_143; MH206_144; MH207_145; MH208_146; North Pacific Ocean; Percentage; Prokaryotes, heterotroph; Respiration rate, oxygen; Respiration rate, oxygen, standard error; South Atlantic Ocean; South Pacific Ocean; Station label; Tasman Sea; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 3905 data points
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  • 2
    Publication Date: 2023-08-28
    Keywords: Change; Event label; EXP; Experiment; FAST; Group; Identification; ION; Parameter; Station label; Treatment; TYR
    Type: Dataset
    Format: text/tab-separated-values, 648 data points
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  • 3
    Publication Date: 2023-08-28
    Description: Although atmospheric dust fluxes from arid as well as human-impacted areas represent a significant source of nutrients to surface waters of the Mediterranean Sea, studies focusing on the evolution of the metabolic balance of the plankton community following a dust deposition event are scarce, and none were conducted in the context of projected future levels of temperature and pH. Moreover, most of the experiments took place in coastal areas. In the framework of the PEACETIME project, three dust-addition perturbation experiments were conducted in 300 L tanks filled with surface seawater collected in the Tyrrhenian Sea (TYR), Ionian Sea (ION) and Algerian basin (FAST) on board the R/V Pourquoi Pas? in late spring 2017. For each experiment, six tanks were used to follow the evolution of chemical and biological stocks, biological activity and particle export. The impacts of a dust deposition event simulated at their surface were followed under present environmental conditions and under a realistic climate change scenario for 2100 (ca. +3 ∘C and −0.3 pH units). The tested waters were all typical of stratified oligotrophic conditions encountered in the open Mediterranean Sea at this period of the year, with low rates of primary production and a metabolic balance towards net heterotrophy. The release of nutrients after dust seeding had very contrasting impacts on the metabolism of the communities, depending on the station investigated. At TYR, the release of new nutrients was followed by a negative impact on both particulate and dissolved 14C-based production rates, while heterotrophic bacterial production strongly increased, driving the community to an even more heterotrophic state. At ION and FAST, the efficiency of organic matter export due to mineral/organic aggregation processes was lower than at TYR and likely related to a lower quantity/age of dissolved organic matter present at the time of the seeding and a smaller production of DOM following dust addition. This was also reflected by lower initial concentrations in transparent exopolymer particles (TEPs) and a lower increase in TEP concentrations following the dust addition, as compared to TYR. At ION and FAST, both the autotrophic and heterotrophic community benefited from dust addition, with a stronger relative increase in autotrophic processes observed at FAST. Our study showed that the potential positive impact of dust deposition on primary production depends on the initial composition and metabolic state of the investigated community. This impact is constrained by the quantity of nutrients added in order to sustain both the fast response of heterotrophic prokaryotes and the delayed one of primary producers. Finally, under future environmental conditions, heterotrophic metabolism was overall more impacted than primary production, with the consequence that all integrated net community production rates decreased with no detectable impact on carbon export, therefore reducing the capacity of surface waters to sequester anthropogenic CO2.
    Keywords: Biomass/Abundance/Elemental composition; Coast and continental shelf; Community composition and diversity; Containers and aquaria (20-1000 L or 〈 1 m**2); Entire community; Laboratory experiment; Mediterranean Sea; OA-ICC; Ocean Acidification International Coordination Centre; Other; Other metabolic rates; Pelagos; Primary production/Photosynthesis; Respiration; Temperate; Temperature
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 4
    Publication Date: 2023-08-28
    Keywords: Change; Event label; EXP; Experiment; FAST; Group; Identification; ION; Parameter; Station label; Treatment; TYR
    Type: Dataset
    Format: text/tab-separated-values, 324 data points
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  • 5
    Publication Date: 2024-03-22
    Description: This dataset contains the results of the fluorescent dissolved organic matter characterisation (FDOM) and water mass optimum multiparameter analysis from the MAFIA cruise (Migrants and Active Flux In the Atlantic ocean). Samples were collected in the tropical and subtropical Atlantic during the MAFIA cruise (April 2015) on board the BIO Hespérides. Seawater samples for biogeochemical analyses were collected at 13 stations (from the Brazilian coast to the Canary Islands), from the surface down to 3500 m, using a General Oceanics oceanographic rosette equipped with 24 l PVC Niskin bottles. Oxygen solubility was computed using the equation of Benson and Krause (1984). AOU (µmol/kg) was calculated by subtracting measured oxygen concentration from the oxygen solubility values at saturation, with respect to the atmosphere. Fluorescence measurements were performed with a Perkin-Elmer LS55 spectrofluorometer and FDOM was characterised by means of a Parallel Factor analysis. Integrated values were estimated by multiplying the discrete measurements by the distance, in meters, between samples. The contribution of each water mass to each sample was objectively quantified applying an optimum multiparameter analysis (excluding mixed layer samples, here 〈 100 m). The aim of this dataset was to jointly characterise the FDOM and water mass distributions to infer the processes that shape the dissolved organic matter pool in the deep ocean (water mass mixing and history vs. local processes).
    Keywords: Absorption coefficient, colored dissolved organic matter at 254 nm; Antarctic Intermediate Water of 3.1°C, relative volume contribution; Antarctic Intermediate Water of 5°C, relative volume contribution; Atlantic; Atlantic Ocean; bathypelagic; Biogeochemical impact of mesoscale and sub-mesoscale processes along the life history of cyclonic and anticyclonic eddies: plankton variability and productivity; Calculated; Calculated after Broecker (1974); Campaign; Chlorophyll a, integrated; Circumpolar Deep Water, relative volume contribution; Constraining organic carbon fluxes in an eastern boundary upwelling ecosystem (NW Africa): the role of non-sinking carbon in the context of the biological pump; Continuous Segmented Flow Analyzer, SEAL Analytical, QuAAtro39; CTD, Sea-Bird, SBE 911plus; CTD/Rosette; CTD-RO; dark ocean; Date/Time of event; DEPTH, water; Eastern North Atlantic Central Water of 12°C, relative volume contribution; Eastern North Atlantic Central Water of 15°C, relative volume contribution; e-IMPACT; Equatorial Water, relative volume contribution; Event label; Fluorescence intensity, maximum, DOM; fluorescent dissolved organic matter; FLUXES; Hespérides; Latitude of event; Longitude of event; Madeira Mode Water, relative volume contribution; MAFIA; MAFIA_01_D-1; MAFIA_02_L-1; MAFIA_03_L-1; MAFIA_04_L-1; MAFIA_05_L-1; MAFIA_06_L-1; MAFIA_07_L-1; MAFIA_08_L-1; MAFIA_09_L-1; MAFIA_10_D-1; MAFIA_11_L-1; MAFIA_12_L-1; MAFIA_13-1; Mediterranean Water, relative volume contribution; mesopelagic; Migrants and Active Flux In the Atlantic Ocean; Nitrate + Oxygen tracer; North Atlantic Deep Water of 2°C, relative volume contribution; North Atlantic Deep Water of 4.6°C, relative volume contribution; optimum multiparameter analysis; Optimum multiparameter analysis; Oxygen; Oxygen, apparent utilization; Oxygen, Benson & Krause 1984; Parallel factor analysis (PARAFAC); Pressure, water; Salinity; Salinity Maximum Water, relative volume contribution; Sample ID; Silicate; Spectrophotometer, Ocean Optics USB2000; Station label; Subpolar Mode Water, relative volume contribution; subtropical - tropical Atlantic; SUMMER; Sustainable Management of Mesopelagic Resources; Temperature, water, potential; Titration, Winkler; water masses
    Type: Dataset
    Format: text/tab-separated-values, 6717 data points
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  • 6
    Publication Date: 2024-03-22
    Description: This dataset contains the results of the fluorescent dissolved organic matter characterisation (FDOM) and water mass optimum multiparameter analysis from the MAFIA cruise (Migrants and Active Flux In the Atlantic ocean). Samples were collected in the tropical and subtropical Atlantic during the MAFIA cruise (April 2015) on board the BIO Hespérides. Seawater samples for biogeochemical analyses were collected at 13 stations (from the Brazilian coast to the Canary Islands), from the surface down to 3500 m, using a General Oceanics oceanographic rosette equipped with 24 l PVC Niskin bottles. Oxygen solubility was computed using the equation of Benson and Krause (1984). AOU (µmol/kg) was calculated by subtracting measured oxygen concentration from the oxygen solubility values at saturation, with respect to the atmosphere. Fluorescence measurements were performed with a Perkin-Elmer LS55 spectrofluorometer and FDOM was characterised by means of a Parallel Factor analysis. The flag denotes if FDOM values were from direct measurement or are interpolated values (some interpolated values were added to match the 16S amplicon data). Integrated values were estimated by multiplying the discrete measurements by the distance, in meters, between samples.The aim of this dataset was to jointly characterise the FDOM and water mass distributions to infer the processes that shape the dissolved organic matter pool in the deep ocean (water mass mixing and history vs. local processes).
    Keywords: Absorption coefficient, colored dissolved organic matter at 254 nm; Atlantic; Atlantic Ocean; bathypelagic; Biogeochemical impact of mesoscale and sub-mesoscale processes along the life history of cyclonic and anticyclonic eddies: plankton variability and productivity; Calculated; Campaign; Chlorophyll a, integrated; Constraining organic carbon fluxes in an eastern boundary upwelling ecosystem (NW Africa): the role of non-sinking carbon in the context of the biological pump; CTD, Sea-Bird, SBE 911plus; CTD/Rosette; CTD-RO; dark ocean; Date/Time of event; DEPTH, water; e-IMPACT; Event label; Fluorescence intensity, maximum, DOM; fluorescent dissolved organic matter; FLUXES; Hespérides; Latitude of event; Longitude of event; MAFIA; MAFIA_01_D-1; MAFIA_02_L-1; MAFIA_03_L-1; MAFIA_04_L-1; MAFIA_05_L-1; MAFIA_06_L-1; MAFIA_07_L-1; MAFIA_08_L-1; MAFIA_09_L-1; MAFIA_10_D-1; MAFIA_11_L-1; MAFIA_12_L-1; mesopelagic; Migrants and Active Flux In the Atlantic Ocean; optimum multiparameter analysis; Oxygen; Oxygen, apparent utilization; Oxygen, Benson & Krause 1984; Parallel factor analysis (PARAFAC); Pressure, water; Salinity; Sample ID; Spectrophotometer, Ocean Optics USB2000; Station label; SUMMER; Sustainable Management of Mesopelagic Resources; Temperature, water, potential; Titration, Winkler; Validation flag/comment; water masses
    Type: Dataset
    Format: text/tab-separated-values, 3925 data points
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  • 7
    Publication Date: 2024-03-22
    Description: This dataset contains the results of the characterisation of the prokaryotic community by flow cytometry and tritiated leucine incorporation from the MAFIA cruise (Migrants and Active Flux In the Atlantic ocean). Samples were collected in the tropical and subtropical Atlantic during the MAFIA cruise (April 2015) on board the BIO Hespérides. Seawater samples were collected at 13 stations (from the Brazilian coast to the Canary Islands), from the surface down to 3500 m, using a General Oceanics oceanographic rosette equipped with 24 l PVC Niskin bottles. Abundance and cell characteristics (high nucleic acid content fraction, cell volume, viability) were based on measurements performed with a FACSCalibur (Becton-Dickinson) flow cytometer. Leucine incorporation rates were estimated with tritiated leucine (Kirchman et al. 1985) using centrifugation and filtration methods (Smith and Azam 1992). The aim of this dataset was to estimate the influence of surface productivity on the standing stock, characteristics and activity (as leucine incorporation) of prokaryotes across the water column.
    Keywords: Atlantic; Atlantic Ocean; bathypelagic; Biogeochemical impact of mesoscale and sub-mesoscale processes along the life history of cyclonic and anticyclonic eddies: plankton variability and productivity; Biomass; Bulk 3H-leucine incorporation rate; Calculated; Calculated after Calvo-Díaz and Morán (2006); Calculated after Norland (1993); Campaign; cell volume; Chlorophyll a; Chlorophyll fluorometer, Seapoint, Seapoint chlorophyll fluorometer; Constraining organic carbon fluxes in an eastern boundary upwelling ecosystem (NW Africa): the role of non-sinking carbon in the context of the biological pump; CTD, Sea-Bird, SBE 911plus; CTD/Rosette; CTD-RO; cytometry; Date/Time of event; deep ocean; DEPTH, water; e-IMPACT; Event label; FACSCalibur flow-cytometer (Becton Dickinson); FLUXES; Hespérides; High nucleic acid prokaryotes; High nucleic acid prokaryotes/low nucleic acid prokaryotes ratio; Latitude of event; leucine incorporation; Longitude of event; Low nucleic acid prokaryotes; MAFIA; MAFIA_01_D-1; MAFIA_02_L-1; MAFIA_03_L-1; MAFIA_04_L-1; MAFIA_05_L-1; MAFIA_06_L-1; MAFIA_07_L-1; MAFIA_08_L-1; MAFIA_09_L-1; MAFIA_10_D-1; MAFIA_11_L-1; MAFIA_12_L-1; MAFIA_13-1; mesopelagic; microbial community; Migrants and Active Flux In the Atlantic Ocean; NADS; Pressure, water; productivity; prokaryote; Prokaryotes; Prokaryotes, biomass as carbon; Prokaryotes, cell volume; prokaryotic abundance; Salinity; Sample ID; Sea surface chlorophyll a; Specific 3H-leucine incorporation rate; Station label; subtropical - tropical Atlantic; SUMMER; Sustainable Management of Mesopelagic Resources; Temperature, water, potential; Tritiated leucine incorporation (Kirchman et al. 1985) with centrifugation and filtration methods (Smith and Azam 1992); viability; Viable cell fraction
    Type: Dataset
    Format: text/tab-separated-values, 4251 data points
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  • 8
    Publication Date: 2024-03-22
    Description: This dataset contains the results of the characterisation of the prokaryotic community by flow cytometry and tritiated leucine incorporation from the MAFIA cruise (Migrants and Active Flux In the Atlantic ocean). Samples were collected in the tropical and subtropical Atlantic during the MAFIA cruise (April 2015) on board the BIO Hespérides. Seawater samples were collected at 13 stations (from the Brazilian coast to the Canary Islands), from the surface down to 3500 m, using a General Oceanics oceanographic rosette equipped with 24 l PVC Niskin bottles. Abundance and cell characteristics (high nucleic acid content fraction, cell volume, viability) were based on measurements performed with a FACSCalibur (Becton-Dickinson) flow cytometer. Leucine incorporation rates were estimated with tritiated leucine (Kirchman et al. 1985) using centrifugation and filtration methods (Smith and Azam 1992). Integrated or average values of variables were estimated for the epipelagic (0-200 m), mesopelagic (200-1000 m) and bathypelagic (1000-3000 m) layers, based on an interpolated grid estimated with DIVA. The aim of this dataset was to estimate the influence of surface productivity on the standing stock, characteristics and activity (as leucine incorporation) of prokaryotes across the water column.
    Keywords: Atlantic; Atlantic Ocean; bathypelagic; Biogeochemical impact of mesoscale and sub-mesoscale processes along the life history of cyclonic and anticyclonic eddies: plankton variability and productivity; Biomass; Bulk 3H-leucine incorporation rate, integrated; Calculated; Campaign; cell volume; Chlorophyll fluorometer, Seapoint, Seapoint chlorophyll fluorometer; Constraining organic carbon fluxes in an eastern boundary upwelling ecosystem (NW Africa): the role of non-sinking carbon in the context of the biological pump; CTD/Rosette; CTD-RO; cytometry; Date/Time of event; deep ocean; DEPTH, water; e-IMPACT; Event label; FLUXES; Hespérides; High nucleic acid prokaryotes/low nucleic acid prokaryotes ratio; Latitude of event; Layer description; leucine incorporation; Longitude of event; MAFIA; MAFIA_01_D-1; MAFIA_02_L-1; MAFIA_03_L-1; MAFIA_04_L-1; MAFIA_05_L-1; MAFIA_06_L-1; MAFIA_07_L-1; MAFIA_08_L-1; MAFIA_09_L-1; MAFIA_10_D-1; MAFIA_11_L-1; MAFIA_12_L-1; MAFIA_13-1; mesopelagic; microbial community; Migrants and Active Flux In the Atlantic Ocean; NADS; productivity; prokaryote; Prokaryotes, abundance, integrated; Prokaryotes, cell volume; prokaryotic abundance; Sea surface chlorophyll a; Specific 3H-leucine incorporation rate; Station label; subtropical - tropical Atlantic; SUMMER; Sustainable Management of Mesopelagic Resources; viability; Viable cell fraction
    Type: Dataset
    Format: text/tab-separated-values, 375 data points
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  • 9
    Publication Date: 2024-03-15
    Keywords: 19-Butanoyloxyfucoxanthin; 19-Hexanoyloxyfucoxanthin; Alanine; Alkaline phosphatase, Km value; Alkaline phosphatase, Km value, standard deviation; Alkaline phosphatase, maximum hydrolysis velocity; Alkaline phosphatase, maximum hydrolysis velocity, standard deviation; Alkalinity, total; Alkalinity, total, standard deviation; Alloxanthin; Aluminium, dissolved; Amino acid, hydrolysable as carbon; Amino acid, hydrolysable as nitrogen; Amino acids; Ammonium; Annelida; Antheraxanthin; Appendicularia; Arabinose; Arabinose, standard deviation; Aragonite saturation state; Aragonite saturation state, standard error; Arginine; Aspartic acid and Asparagine; Bacterial biomass production of carbon, standard deviation; Bacterial production; Bacteriochlorophyll a; Bicarbonate, standard error; Bicarbonate ion; Calcite saturation state; Calcite saturation state, standard error; Calcium carbonate; Calculated using seacarb; Calculated using seacarb after Nisumaa et al. (2010); Calculated using seacarb after Orr et al. (2018); Carbohydrates, total hydrolyzable; Carbohydrates, total hydrolyzable, standard error; Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, standard error; Carbon, organic, dissolved; Carbon, organic, flux; Carbon, organic, particulate; Carbonate ion; Carbonate ion, standard error; Carbonate system computation flag; Carbon dioxide; Carbon dioxide, standard error; Carotene; Chaetognatha; Chlorophyll a; Chlorophyll a, total; Chlorophyll b; Chlorophyll c1+c2; Chlorophyll c3; Ciliates; Ciliates, heterotrophic; Ciliates, mixotrophic; Cnidaria; Coefficient of variation; Copepoda; Crustacea; Date; Diadinoxanthin; Diatoms; Diatoxanthin; Dinoflagellates; Divinyl chlorophyll a; Event label; EXP; Experiment; Extracellular release; Extracellular release, standard deviation; FAST; Flagellates, autotrophic; Fluorescence, chlorophyll; Fluorescence, chlorophyll, standard deviation; Fluorescence, dissolved organic matter; Fluorescence, dissolved organic matter, standard deviation; Fucose; Fucose, standard deviation; Fucoxanthin; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Galactosamine; Galactosamine, standard deviation; Galactose; Galactose, standard deviation; Galacturonic acid; Galacturonic acid, standard deviation; gamma-Aminobutyric acid; Gluconic acid; Gluconic acid, standard deviation; Glucosamine; Glucosamine, standard deviation; Glucose; Glucose, standard deviation; Glucuronic acid; Glucuronic acid, standard deviation; Glutamic acid; Glycine; Harosa; Identification; Incubation duration; ION; Iron, dissolved; Isoleucine; Leucine; Lithogenic material; Local Time; Lutein; Mannose/Xylose; Mannose/Xylose, standard deviation; Michealis-Menten constant of protease; Michealis-Menten constant of protease, standard deviatione; Mollusca; Muramic acid; Muramic acid, standard deviation; Nanoeukaryotes; Nanoflagellates, heterotrophic; Neoxanthin; Net community production, cumulated; Net community production of oxygen; Net community production of oxygen, standard error; Nitrate; Nitrate and Nitrite; Nitrite; Nitrogen fixation rate; Opal particles; Organic matter; Organic matter, flux; Oxygen; Oxygen, standard deviation; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Partial pressure of carbon dioxide (water) at sea surface temperature (wet air), standard error; Peridinin; pH; pH, standard deviation; Phaeophorbide a; Phaeophytin a; Phenylalanine; Phosphate; Phosphorus, reactive soluble; Photosynthetic production of dissolved organic matter; Photosynthetic production of dissolved organic matter, standard deviation; Photosynthetic production of particulate organic matter; Photosynthetic production of particulate organic matter, standard deviation; Photosynthetic production of total organic matter; Photosynthetic production of total organic matter, standard deviation; Picoeukaryotes; Potentiometric; Potentiometric titration; Prasinoxanthin; Primary production of carbon; Prokaryotes, heterotroph; Protease, maximum hydrolysis velocity; Protease, maximum hydrolysis velocity, standard deviation; Respiration rate, oxygen; Respiration rate, oxygen, standard error; Rhamnose; Rhamnose, standard deviation; Salinity; Serine; Silicate; Suspended particulate matter; Synechococcus; Temperature, water; Threonine; Time point, descriptive; Total sediment, flux; Transparent exopolymer particles; Transparent exopolymer particles per carbon biomass; Treatment; Type; TYR; Tyrosine; Valine; Violaxanthin; Volume; Zeaxanthin; δ13C, dissolved inorganic carbon; δ13C, dissolved organic carbon; δ13C, particulate organic carbon
    Type: Dataset
    Format: text/tab-separated-values, 17025 data points
    Location Call Number Expected Availability
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  • 10
    Publication Date: 2024-03-22
    Description: This dataset contains the results of the fluorescent dissolved organic matter characterisation (FDOM) and water mass optimum multiparameter analysis from the MAFIA cruise (Migrants and Active Flux In the Atlantic ocean). Samples were collected in the tropical and subtropical Atlantic during the MAFIA cruise (April 2015) on board the BIO Hespérides. Seawater samples for biogeochemical analyses were collected at 13 stations (from the Brazilian coast to the Canary Islands), from the surface down to 3500 m, using a General Oceanics oceanographic rosette equipped with 24 l PVC Niskin bottles. Fluorescence measurements were performed with a Perkin-Elmer LS55 spectrofluorometer and FDOM was characterised by means of a Parallel Factor analysis. The contribution of each water mass to each sample was objectively quantified applying an optimum multiparameter analysis (excluding mixed layer samples, here 〈 100 m). The aim of this dataset was to jointly characterise the FDOM and water mass distributions to infer the processes that shape the dissolved organic matter pool in the deep ocean (water mass mixing and history vs local processes).
    Keywords: Atlantic; bathypelagic; Biogeochemical impact of mesoscale and sub-mesoscale processes along the life history of cyclonic and anticyclonic eddies: plankton variability and productivity; Constraining organic carbon fluxes in an eastern boundary upwelling ecosystem (NW Africa): the role of non-sinking carbon in the context of the biological pump; dark ocean; e-IMPACT; fluorescent dissolved organic matter; FLUXES; MAFIA; mesopelagic; Migrants and Active Flux In the Atlantic Ocean; optimum multiparameter analysis; Oxygen; SUMMER; Sustainable Management of Mesopelagic Resources; water masses
    Type: Dataset
    Format: application/zip, 2 datasets
    Location Call Number Expected Availability
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