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Journal of Marine Systems

ISSN: 0924-7963

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Datasets associated with articles published in Journal of Marine Systems

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1970
2024
1970 2024
19 results
  • Data from: Egg size and density estimates for three gadoids in Icelandic waters and their implications for the vertical distribution of eggs along a stratified water column
    Raw egg density and diameter measurements taken from wild spawning cod, haddock and saithe in SW Icelandic waters. Density measurements were taken using density-gradient columns and diameter measurements were taken from high resolution photographs. Column descriptions: 'species' = factor for species 'site' = factor used to differentiate between cod caught inshore ("codIn") and offshore ("codOut") 'batch' = code referring to each individual female sampled 'femaleLength' = total length (cm) of individual females 'dpf' = The number of days-post-fertilisation at which measurements were taken 'stage' = the dominant ontogenetic stage (pooled over batches) using a modified classification scheme developed from Thompson and Riley (1981) 'density' = raw egg density measurements (in g cm-3) at 7°C 'se' = the equivalent salinity of neutral buoyancy (PSU) at 7°C. 'diameter' = raw egg diameter measurements (mm) Two supplementary datasets are included, "batchDetails" and "sampleLocations" which contain the dates and locations for the sampling.
    • Dataset
  • Data for: Wind-driven lateral variations of partial pressure of carbon dioxide in a large estuary
    Acoustic Doppler current profilers and seabird MicroCat CTDs data
    • Dataset
  • Data for: Different controls on sedimentary organic carbon in the Bohai Sea: river mouth relocation, turbidity and eutrophication
    Data for biomarkers in Bohai Sea cores and Yellow River water discharge and sediment load during period of 1950-2011
    • Dataset
  • A high-resolution reanalysis of the East Australian Current System assimilating an unprecedented observational data set using 4D-Var data assimilation over a two-year period (2012-2013). Version 2017.
    For the EAC region, we combine a high-resolution state-of-the-art numerical ocean model with a variety of traditional and newly available observations using an advanced variational data assimilation scheme. The numerical model is configured using the Regional Ocean Modelling System (ROMS 3.4) and takes boundary forcing from the BlueLink ReANalysis (BRAN3). For the data assimilation, we use an Incremental Strong- Constraint 4-Dimensional Variational (IS4D-Var) scheme, which uses the model dynamics to perturb the initial conditions, atmospheric forcing, and boundary conditions, such that the modelled ocean state better fits and is in balance with the observations. In addition to the traditional data streams (satellite derived SSH and SST, Argo profiling floats and XBT lines) we exploit newly available observations collected by Australia's Integrated Marine Observing System (IMOS). These include velocity and hydrographic observations from a deep-water mooring array (the EAC transport array, 27.5S) and several moorings on the continental shelf (27.5S, 30S and 34S), surface radial velocities from a high-frequency (HF) radar array (at Coffs Harbour, 30S), and temperature and salinity observations from ocean gliders.
    • Dataset
  • Primary production using ¹⁴C method in subtropical gyres regions
    Seawater was sampled from five depths in the euphotic zone corresponding to 100 % (ca. 3 m depth), 50 %, 20 %, 7 % and 1 % of incident Photosynthetically Active Radiation (PAR). For each depth, four 72 mL polystyrene bottles (three clear bottles and one dark bottle) were filled with unfiltered seawater, inoculated with 10 - 20 µCi NaH¹⁴CO₃ and incubated on-deck from dawn to dusk. Temperature and irradiance in the incubators simulated the water temperature and the incident irradiance at the corresponding depth of each sample by using a combination of neutral density and blue filters (Mist Blue, ref. 061, Lee Filters ®). After incubation, samples from three of the five depths (100 %, 20 % and 1 % PAR) were sequentially filtered through 20, 2 and 0.2 µm polycarbonate filters while the other depths (50 % and 7 % PAR) were directly filtered by 0.2 µm. Immediately after filtering, filters were then exposed to concentrated HCl fumes at least 12 h to remove the non-fixed inorganic ¹⁴C. Filters were placed in scintillation vials to which 5 mL of liquid scintillation cocktail was added. The radioactivity on each filter (disintegrations per minute, DPM) was determined using a Wallac scintillation counter. To compute the rate of photosynthetic carbon fixation, the dark-bottle DPM was subtracted from the light-bottle DPM values. A constant value of 24,720 µg L-1 (or 2,060 µmol L-1) was assumed for the concentration of dissolved inorganic carbon for surface waters in tropical ocean (Key et al., 2004). A correction factor of 1.05 was applied to this constant value for discrimination isotopic. Total primary production was calculated as the sum of the primary production on each size class.
    • Other
    • Tabular Data
    • Dataset
  • Data base of timely, vertically, and horizontally highly resolved dispersal, stability, and drift distance of passively drifting particles in the Baltic Sea with the Kiel Baltic Sea Ice-Ocean Model (BSIOM)
    This data set contains results produced by particle drift modeling exercises with the Kiel Baltic Sea Ice-Ocean Model (BSIOM) to analyze the variability of large scale drift patterns within the Baltic Sea. The provided parameters are: - Mean geographical distance [km], divided into north-south and east-west component - stability of particle drift distance - relative dispersal [%] The parameters were separated and averaged for the following time and space intervals: - drift duration [days] in 5 days increments from 5 to 50 days drift - vertical particle drift depth [m] with the following values: 2.5; 7.5; 12.5; 17.5; 25.0; 35.0; 45.0; 55.0; 65.0; 75.0; 85.0 - horizontal resolution: 54.0°N to 66.0°N in 0.5° increments and 10°E to 30°E in 1° increments. The analyses based on this data set are described in more detail and results are discussed in the article. Connectivity between different populations of a species is a central parameter in the fields of ecology and evolutionary biology. We here provided decadally, regionally, and depth layer resolved information on connectivity and dispersal patterns for the entire Baltic Sea as a tool for supporting population genetic and ecological studies. The general method to assess dispersal used was bio-physical modelling, which is suitable for biological dispersal that is highly influenced by the physical water transport in ocean circulation. The results were assessed from Lagrangian particle tracking using ocean circulation model outputs. Generally, for the whole Baltic Sea as well as for all subareas, we observed persistent patterns of dispersal that reflected the basin-like structure of the Baltic Sea, with less transport between the basins. At the same time, dispersal distance and in extension, local retention versus dispersal of particles to other sub-areas, varied considerably over four decades (1970–2010) and among regions within the Baltic Sea, corresponding to a range from high connectivity to partial dispersal barriers. Based on the example of Eastern Baltic cod we then investigated how our dispersal distance datasets can serve as a tool to assess dispersal and the expected connectivity among different populations of a species, as long as some biological information is available. For example, our finding of high dispersal of particles from the Bornholm Basin to the other Eastern Baltic basins could help to explain recent results indicating lack of genetic differentiation of cod across the eastern Baltic Sea. Our results also indicate that the shift in spawning time observed in cod over the past decades and the resulting exposure of eggs and larvae in the water column to a time of the year with a different current regime has likely affected egg and larval export. Finally, our case study also demonstrates how inter-annual variability of ocean current speed and direction at the time of peak reproduction is likely to affect the connectivity among the subareas in the Baltic. To conclude, connectivity datasets from this study are freely available, and can represent a powerful tool to apply in evolutionary and ecological studies of a variety of species in the Baltic Sea.
    • Dataset
  • pCO2 underway data from the Benguela Upwelling System in southeastern South Atlantic Ocean
    Within the BMBF funded project GENUS (Geochemistry and Ecology of the Namibian Upwelling System) the mole fraction of CO2 (xCO2) was measured in surface waters by using an underway pCO2 system (SUNDANS) duirng seven cruises. SUNDANS was developed by "marine analytics and data" (MARIANDA, Germany, www.marianda.com) according to the recommendations of the 2002 underway pCO2 system workshop in Miami. It was equipped with a shower type equilibrator, an open pre-equilibrator and a non-dispersive dual cell infrared gas analyzer (LI-7000). The LI-7000 was calibrated by using nitrogen gas (zero CO2) and a two additional standard gas for CO2. The standard gases were obtained from the company Deuste Steininger GmbH, Germany and revealed CO2 concentrations of 350 to 480 ppm (Std1) and around 800 ppm (Std2). The CO2 standard gases were calibrated against the standard gases provided by NOAA at the Institute for Baltic Sea Research in Warnemünde, Germany (Ref. No. CA07600 and CC311968) and the Centre for Tropical Marine Research in Bremen, Germany (Ref. No. CB08923 and CA06265). The xCO2 data were recorded each 6 seconds and subsequently averaged minute by minute. Minute by minute data on atmospheric pressure, wind speed, seawater temperature and salinity were measured by underway systems mounted on board the research vessels. xCO2 was converted into pCO2 by using the CO2 sys program. The difference between the equilibrator and the sea water temperature was taken into account as suggested by Dickson et al. (2007, SOP5, page 8). During the RV Metoer cruise M67/2 between May 15 and June 05 2008 the pCO was measured by using PSI CO2-ProTM underwater carbon dioxide sensor designs by Pro-Oceanus Systems In., USA.
    • Collection
    • Tabular Data
    • Text
  • Tidal and spatial variations of DI13C and aquatic chemistry in a temperate tidal basin during winter time
    Here, the pelagic carbonate system and the d13C signature of dissolved inorganic carbonate (DIC) were investigated in a tidal basin of the southern North Sea, the Jade Bay, with respect to tidal cycles and a transect towards the North Sea in winter time (January and November, 2010). Physical parameters, major and trace elements, and nutrient concentrations were considered, too. Primary production and pelagic organic matter respiration were negligible during winter time. Both, the compositional variations on the transects as well as during the tidal cycles indicate the mixing of North Sea with fresh water. The combined spatial co-variations of different parameters indicate an introduction of fresh water that was enriched in DI12C, metabolites (e.g., ammonia), protons, and dissolved redox-sensitive elements (e.g., Mn2+). During the January campaign, the discharge via the flood gates was limited due to ice cover of the hinterland drainage ditches, allowing for an observation of tidal variations without significant mixing contributions from surface water discharges. Considering a binary mixing model with North Sea and fresh water as end-members, the extrapolated fresh water end-member composition for this campaign is estimated to contain about 3.8 mmol/kg DIC , and enhanced concentrations of NH4+, Mn2+, and protons compared to North Sea water. The fast temporal response of dissolved geochemical tracers on tidal variations in the Jade Bay indicates a continuous supply of a fresh water component. The measured composition of fresh waters entering the Jade Bay via flood gates (end of October, 2010) did not match the values estimated by the binary mixing model. Therefore, the overall fresh water component likely is a mixture between sources originating from flood gates and (in January) dominating submarine groundwater discharge entering the Jade Bay. This model is consistent with the results obtained during the November campaign, when a more important contribution from flood gates is expected and a more variable fresh water end-member is estimated. The co-variations of the concentrations and the stable carbon isotope composition of DIC are applied to evaluate possible superimposed sink-source-transformation processes in the coastal waters and a general co-variation scheme is suggested.
    • Other
    • Collection
  • Decade Wind and Wave Data for NW Iberia, Cabo Sillerio
    Seafloor sediment mobilization on the inner Northwest Iberian continental shelf is caused largely by ocean surface waves. The temporal and spatial variability in the wave height, wave period, and wave direction has a profound effect on local sediment mobilization, leading to distinct sediment mobilization scenarios. Six grain-size specific sediment mobilization scenarios, representing seasonal average and storm conditions, were simulated with a physics-based numerical model. Model inputs included meteorological and oceanographic data in conjunction with seafloor grain-size and the shelf bathymetric data. The results show distinct seasonal variations, most importantly in wave height, leading to sediment mobilization, specifically on the inner shelf shallower than 30 m water depth where up to 49% of the shelf area is mobilized. Medium to severe storm events are modeled to mobilize up to 89% of the shelf area above 150 m water depth. The frequency of each of these seasonal and storm-related sediment mobilization scenarios is addressed using a decade of meteorological and oceanographic data. The temporal and spatial patterns of the modeled sediment mobilization scenarios are discussed in the context of existing geological and environmental processes and conditions to assist scientific, industrial and environmental efforts that are directly affected by sediment mobilization. Examples, where sediment mobilization plays a vital role, include seafloor nutrient advection, recurrent arrival of oil from oil-spill-laden seafloor sediment, and bottom trawling impacts.
    • Tabular Data
    • Dataset
  • Time-Dependent-Intrinsic-Correlation
    A Matlab package for the time-dependent-intrinsic-correlation. This code is based on a Fortran code provided by Pr. X.Y. Chen and N.E. Huang.
    • Software/Code
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