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  • PANGAEA  (26)
  • Elsevier  (3)
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  • 1
    Publication Date: 2017-05-03
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev , info:eu-repo/semantics/article
    Format: application/pdf
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  • 2
    Publication Date: 2021-04-21
    Description: The Southern Ocean is the most important area of anthropogenic carbon (Cant) uptake in the world ocean, only rivalled in importance by the North Atlantic Ocean. Significant variability on decadal time-scales in the uptake of Cant in the Southern Ocean has been observed and modelled, likely with consequences for the interior ocean storage of Cant in the region, and implications for the global carbon budget. Here we use eight cruises between 1973 and 2012 to assess decadal variability in Cant storage rates in the southeast Atlantic sector of the Southern Ocean. For this we employed the extended multiple linear regression (eMLR) method. We relate variability in DIC (dissolved inorganic carbon) storage, which is assumed to equal anthropogenic carbon storage, to changes in ventilation as observed from repeat measurements of transient tracers. Within the Antarctic Intermediate Water (AAIW) layer, which is the dominant transport conduit for Cant into the interior ocean, moderate Cant storage rates were found without any clear temporal trend. In Subantarctic Mode Water (SAMW), a less dense water mass found north of the Subantarctic Front and above AAIW, high storage rates of Cant were observed up to about 2005 but lower rates in more recent times. The transient tracer data suggest a significant speed-up of ventilation in the summer warmed upper part of AAIW between 1998 and 2012, which is consistent with the high storage rate of Cant. A shift of more northern Cant storage to more southern storage in near surface waters was detected in the early 2000s. Beneath the AAIW the eMLR method as applied here did not detect significant storage of Cant. However, the presence of the transient tracer CFC-12 all through the water column suggests that some Cant should be present, but at concentrations not reliably quantifiable. The observed temporal variability in the interior ocean seems at a first glance to be out of phase with observed surface ocean Cant fluxes, but this can be explained by the time delay for the surface ocean signal to manifest itself in the interior of the ocean.
    Type: Article , PeerReviewed , info:eu-repo/semantics/article
    Format: text
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  • 3
    Publication Date: 2023-02-01
    Description: This chapter gives an overview of the general biogeochemistry in the Mediterranean Sea explaining the particularities of the main biogeochemical variables and the physical, biological, and geochemical processes driving their distribution in the main basins of this marginal sea. Each subsection focuses on one essential variable, starting from dissolved oxygen and following inorganic nutrients, dissolved organic carbon and the CO2 system. A brief overview on the utility of those biogeochemical variables to identify water masses is also given. The chapter concludes with a summary of the projections and threats on biogeochemistry in the Mediterranean Sea under different future climate change scenarios.
    Type: Book chapter , NonPeerReviewed
    Format: text
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  • 4
    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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  • 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. 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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  • 6
    Publication Date: 2024-03-14
    Keywords: Adriatic Sea; Aegean Sea; Alboran Sea; CTD; CTD, Seabird; CTD/Rosette; CTD-R; CTD-RO; Date/Time of event; DEPTH, water; Eastern Basin; Elevation of event; Event label; Ionian Sea; Latitude of event; Longitude of event; M287; M288; M289; M290; M291; M292; M293; M294; M295; M296; M297; M298; M299; M300; M301; M302; M303; M304; M305; M306; M307; M308; M309; M310; M311; M312; M313; M314; M315; M316; M317; M318; M319; M320; M321; M322; M323; M324; M325; M326; M327; M328; M329; M330; M331; M332; M333; M334; M335; M336; M337; M338; M339; M340; M341; M342; M343; M344; M345; M346; M347; M348; M84/3; M84/3_287; M84/3_288; M84/3_289; M84/3_290; M84/3_291; M84/3_292; M84/3_293; M84/3_294; M84/3_295; M84/3_296; M84/3_297; M84/3_298; M84/3_299; M84/3_300; M84/3_301; M84/3_302; M84/3_303; M84/3_304; M84/3_305; M84/3_306; M84/3_307; M84/3_308; M84/3_309; M84/3_310; M84/3_311; M84/3_312; M84/3_313; M84/3_314; M84/3_315; M84/3_316; M84/3_317; M84/3_318; M84/3_319; M84/3_320; M84/3_321; M84/3_322; M84/3_323; M84/3_324; M84/3_325; M84/3_326; M84/3_327; M84/3_328; M84/3_329; M84/3_330; M84/3_331; M84/3_332; M84/3_333; M84/3_334; M84/3_335; M84/3_336; M84/3_337; M84/3_338; M84/3_339; M84/3_340; M84/3_341; M84/3_342; M84/3_343; M84/3_344; M84/3_345; M84/3_346; M84/3_347; M84/3_348; Meteor (1986); Oxygen; Pressure, water; Salinity; South Atlantic Ocean; Strait of Gibraltar; Temperature, water; Tirreno Sea; Western Basin
    Type: Dataset
    Format: text/tab-separated-values, 524455 data points
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  • 7
    Publication Date: 2024-03-14
    Keywords: Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR-MS); Hydrogen/Carbon ratio; Mass of molecular formulas; Molecular formula; Oxygen/Carbon ratio; Peak intensity
    Type: Dataset
    Format: text/tab-separated-values, 143906 data points
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  • 8
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    PANGAEA
    In:  Supplement to: Romera-Castillo, Cristina; Álvarez, Marta; Pelegrí, Josep L; Hansell, Dennis A; Alvarez-Salgado, Xose Anton (2019): Net Additions of Recalcitrant Dissolved Organic Carbon in the Deep Atlantic Ocean. Global Biogeochemical Cycles, 33(9), 1162-1173, https://doi.org/10.1029/2018GB006162
    Publication Date: 2024-03-14
    Description: Optimum Multiparameter Model in Matlab code to solve the mixing of water masses in the North and South Atlantic ocean based on GOSHIP cruises with available Dissolved Organic Carbon (DOC) data. Data below 250 dbar and colder than 14ºC are considered. The scripts solve the mixing of central, intermediate, deep and bottom waters crossed by the GOSHIP lines (A22-2012, A20-2012, A13.5-2010, A16N-2013, A16S-2013). INPUT variables are the comprised within a matlab file (OMP_ATL_DOM.mat) containing hydrographic and biogeochemical data as provided in the OCADS repository for Repeat Hydrography. The OUTPUT is generated in the file OMP_RESULTS.xlsx containing self explaining names of the output variables. A detailed explanation of the OMP settings, constraints and results to analyse and check is given in the linked Global Biogeochemical Cycles manuscript. To inititate the OMP analysis just run "Megaprograma.m", the analysis will start and when ending the results will appear in the xlsx file.
    Keywords: apparent ages; Atlantic Ocean; Dissolved Organic Carbon; water masses
    Type: Dataset
    Format: application/zip, 5.1 MBytes
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  • 9
    Publication Date: 2024-03-14
    Keywords: DEPTH, water; LATITUDE; LONGITUDE; Sample ID
    Type: Dataset
    Format: text/tab-separated-values, 35 data points
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  • 10
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    PANGAEA
    In:  Supplement to: Oviedo, Angela Maria; Ziveri, Patrizia; Álvarez, Marta; Tanhua, Toste (2015): Is coccolithophore distribution in the Mediterranean Sea related to seawater carbonate chemistry? Ocean Science, 11(1), 13-32, https://doi.org/10.5194/os-11-13-2015
    Publication Date: 2024-03-14
    Description: The Mediterranean Sea is considered a "hot spot" for climate change, being characterized by oligotrophic to ultra-oligotrophic waters and rapidly increasing seasurface temperature and changing carbonate chemistry. Coccolithophores are considered a dominant phytoplankton group in these waters. As marine calcifying organisms they are expected to respond to the ongoing changes in seawater carbonate chemistry. We provide here a description of the springtime coccolithophore distribution in the Mediterranean Sea and relate this to a broad set of in situ-measured environmental variables. Samples were taken during the R/V Meteor (M84/3) oceanographic cruise in April 2011, between 0 and 100 m water depth from 28 stations. Total diatom and silicoflagellate cell concentrations are also presented. Our results highlight the importance of seawater carbonate chemistry, especially [CO3]2- but also [PO4]3- in unraveling the distribution of heterococcolithophores, the most abundant coccolithophore life phase. Holo- and heterococcolithophores respond differently to environmental factors. For instance, changes in heterococcolithophore assemblages were best linked to the combination of [CO3]2-, pH, and salinity (rho = 0.57), although salinity might be not functionally related to coccolithophore assemblage distribution. Holococcolithophores, on the other hand, showed higher abundances and species diversity in oligotrophic areas (best fit, rho = 0.32 for nutrients), thriving in nutrient-depleted waters. Clustering of heterococcolithophores revealed three groups of species sharing more than 65% similarities. These clusters could be assigned to the eastern and western basins and deeper layers (below 50 m), respectively. In addition, the species Gephyrocapsa oceanica, G. muellerae, and Emiliania huxleyi morphotype B/C are spatially distributed together and trace the influx of Atlantic waters into the Mediterranean Sea. The results of the present work emphasize the importance of considering holo- and heterococcolithophores separately when analyzing changes in species assemblages and diversity. Our findings suggest that coccolithophores are a main phytoplankton group in the entire Mediterranean Sea and can dominate over siliceous phytoplankton. They have life stages that are expected to respond differently to the variability in seawater carbonate chemistry and nutrient concentrations.
    Keywords: Acanthoica biscayensis; Acanthoica quattrospina; Adriatic Sea; Aegean Sea; Alboran Sea; Algirosphaera cucullata; Algirosphaera robusta; Alisphaera capulata; Alisphaera extenta; Alisphaera gaudii; Alisphaera ordinata; Alisphaera unicornis; Anacanthoica acanthos; Anoplosolenia brasiliensis; Anthosphaera lafourcadii; Anthosphaera origami; Anthosphaera periperforata; Anthosphaera sp.; Calcidiscus leptoporus; Calcidiscus leptoporus ssp. leptoporus; Calcidiscus leptoporus ssp. quadriperforatus; Calciopappus caudatus; Calciopappus rigidus; Calciosolenia murrayi; Calicasphaera concava; Calyptrolithina divergens; Calyptrolithina multipora; Calyptrosphaera cialdii; Calyptrosphaera dentata; Calyptrosphaera heimdalae; Calyptrosphaera sp.; Calyptrosphaera sphaeroidea; Cells, total; Ceratolithus cristatus; Coccolithophores; Coccolithophoridae sp.; Coccolithus pelagicus ssp. braarudii; Confidence; Corisphaera gracilis; Corisphaera sp.; Corisphaera strigilis; Corisphaera tyrrheniensis; Coronosphaera binodata; Coronosphaera mediterranea; CTD/Rosette; CTD-RO; Cyrtosphaera lecaliae; DATE/TIME; DEPTH, water; Diatoms; Dictyota sp.; Dinoflagellates; Discosphaera tubifera; Diversity; Eastern Basin; Elevation of event; Emiliania huxleyi; Ericiolus spp.; Event label; Florisphaera profunda; Gephyrocapsa ericsonii; Gephyrocapsa muellerae; Gephyrocapsa oceanica; Gephyrocapsa ornata; Gladiolithus flabellatus; Gliscolithus amitakarenae; Hayaster perplexus; Helicosphaera carteri; Helicosphaera pavimentum; Helladosphaera cornifera; Heterococcolithophores; Holococcolithophora; Homozygosphaera spinosa; Homozygosphaera triarcha; Homozygosphaera vercelli; Ionian Sea; Kataspinifera baumannii; Latitude of event; Longitude of event; M287; M288; M291; M292; M293; M294; M296; M297; M298; M299; M302; M305; M306; M307; M308; M309; M313; M316; M319; M320; M321; M324; M329; M331; M332; M334; M337; M338; M84/3; M84/3_287; M84/3_288; M84/3_291; M84/3_292; M84/3_293; M84/3_294; M84/3_296; M84/3_297; M84/3_298; M84/3_299; M84/3_302; M84/3_305; M84/3_306; M84/3_307; M84/3_308; M84/3_309; M84/3_313; M84/3_316; M84/3_319; M84/3_320; M84/3_321; M84/3_324; M84/3_329; M84/3_331; M84/3_332; M84/3_334; M84/3_337; M84/3_338; Mediterranean Sea Acidification in a Changing Climate; MedSeA; Meringosphaera mediterranea; Meteor (1986); Michaelsaria elegans; Number of species; Ophiaster formosus; Ophiaster hydroideus; Palusphaera vandelii; Papposphaera lepida; Papposphaera sp.; Phytoplankton; Pleurochrysis carterae; Polycrater galapagensis; Polycrater spp.; Pontosphaera japonica; Poricalyptra gaarderae; Poritectolithus maximus; Pressure, water; Reticulofenestra parvula; Rhabdosphaera clavigera var. clavigera; Rhabdosphaera xiphos; Scyphosphaera apsteinii; Sphaerocalyptra adenensis; Sphaerocalyptra quadridentata; Sphaerocalyptra sp.; Strait of Gibraltar; Syracolithus sp.; Syracosphaera ampliora; Syracosphaera anthos; Syracosphaera arethusae; Syracosphaera bannockii; Syracosphaera borealis; Syracosphaera corolla; Syracosphaera delicata; Syracosphaera dilatata; Syracosphaera histrica; Syracosphaera lamina; Syracosphaera marginiporata; Syracosphaera molischii; Syracosphaera nana; Syracosphaera nodosa; Syracosphaera noroitica; Syracosphaera ossa; Syracosphaera pirus; Syracosphaera prolongata; Syracosphaera protrudens; Syracosphaera pulchra; Syracosphaera rotula; Syracosphaera sp.; Syracosphaera spp.; Syracosphaera tumularis; Tirreno Sea; Umbellosphaera tenuis; Umbilicosphaera hulburtiana; Umbilicosphaera sibogae var. sibogae; Western Basin; Zygosphaera amoena
    Type: Dataset
    Format: text/tab-separated-values, 11340 data points
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