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  • 1
    Electronic Resource
    Electronic Resource
    Microbial communities from the sea ice and adjacent water column at the time of ice melting in the northwestern part of the Weddell Sea (1991)
    Oxford, UK : Blackwell Publishing Ltd
    Polar research 10 (1991), S. 0 
    Details
    ISSN: 1751-8369
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Geography , Geosciences
    Notes: Microbial composition-including microalgae, bacteria and protozoans- and potential metabolic activity of its autotrophic compartment were measured in December 1988 in several micro-environments that characterise the North-West Sector of the marginal area of the Weddell Sea; infiltration and band assemblages of ice floes and adjacent waters were investigated. At the time of ice melting, a shift from a diatom dominated population (ice) to a flagellate dominated population (water column) was observed. Nevertheless, this shift was not due to an “inability” of the ice-diatoms to grow in the water colum. Macro-grazing and/or sedimentation are suggested as possible causes of the disappearance of diatoms during ice melting. The remaining small autotrophic forms released by the ice would constitute a significant seeding stock for the growth of ice-edge blooms.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1111/j.1751-8369.1991.tb00652.x
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    Paper (German National Licenses)
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  • 2
    Electronic Resource
    Electronic Resource
    Interactions in the microbial community of the marginal ice zone of the northwestern Weddell Sea through size distribution analysis (1992)
    Springer
    Polar biology 12 (1992), S. 211-218 
    Details
    ISSN: 1432-2056
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Summary Enumeration and identification of planktonic microorganisms (phytoplankton, bacteria, protozoa) were carried out for 16 stations sampled in the marginal ice zone of the northwestern Weddell Sea during sea-ice retreat in 1988 (EPOS Leg 2). From these data, carbon biomass distribution among various classes, chosen according to size and trophic mode, has been determined. This analysis reveals the general dominance of nano-phytoplankton (74 %), mainly Cryptomonas sp.. In two stations only, significant microphytoplanktonic biomass occurred. Bacterioplankton biomass was 16 % of the phytoplanktonic biomass. Protozooplankton appeared as a significant group whose biomass represented an average of 23 % of the total microbial biomass. Maximum phytoplankton and protozooplankton biomass was reached at about 100–150 km north of the receding ice edge whilst bacteria did not show marked spatial variations. From these results, indirect evidence for close relationships between protozoa and bacteria, as well as protozoa and autotrophs, is given. The size range of autotrophic prey and predators overlaps (equivalent spherical diameter range = 6 to 11 μm). This size overlapping increases the complexity of the trophic organization of the microbial community. Our results thus support the idea of a flux of energy not always oriented towards an increasing particle size range. Potential ingestion rate, calculated from a mean clearance rate in the literature, indicated that protozooplankton might ingest as high as 48 % of the daily phytoplankton production in the marginal ice zone.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00238262
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  • 3
    Electronic Resource
    Electronic Resource
    Gross and net primary production in the Scotia-Weddell Sea sector of the Southern Ocean during spring 1988 (1992)
    Springer
    Polar biology 12 (1992), S. 321-332 
    Details
    ISSN: 1432-2056
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Summary Daily rates of gross and net primary production were calculated in the Scotia-Weddell Sea sector of the Southern Ocean during spring 1988 (EPOS, Leg 2) on the basis of kinetic experiments, which combine radiotracer technology and classic biochemical procedures, and by taking into account the light regime, the physical structure of the water column, the vertical distribution of chlorophyll a, and the protozoan grazing pressure. From these calculations, three distinct sub-areas were identified: the Closed Pack Ice Zone (CPIZ), characterized by the lowest average gross primary production (0.36 gC · m−2 · day−1); the Marginal Ice Zone (MIZ) with a maximum mean value of 1.76 gC · m−2 · day−1; and the Open Ocean Zone off the ice edge (OOZ) with an intermediate mean value of 0.87 gC · m−2 · day−1. Net primary production fluctuated nearly in the same proportions, averaging 0.55, 0.2 and 1.13 gC · m−2 · day−1 in the OOZ, CPIZ and MIZ respectively, representing 53% of the total photo-assimilated carbon under heavy ice cover (CPIZ) and 64% in the two other areas. Available light, strongly dependent on the ice cover, was shown to control the level of primary production in the sea ice associated sub-areas, whilst protozoa grazing on phytoplankton determined the moderate primary production level characteristic of the “well illuminated” OOZ area.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00238275
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  • 4
    Electronic Resource
    Electronic Resource
    Factors controlling phytoplankton ice-edge blooms in the marginal ice-zone of the northwestern Weddell Sea during sea ice retreat 1988: Field observations and mathematical modelling (1993)
    Springer
    Polar biology 13 (1993), S. 377-387 
    Details
    ISSN: 1432-2056
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract The factors controlling phytoplankton bloom development in the marginal ice zone of the northwestern Weddell Sea were investigated during the EPOS (Leg 2) expedition (1988). Measurements were made of physical and chemical processes and biological activities associated with the process of ice-melting and their controlling variables particularly light limitation mediated by vertical stability and ice-cover, trace metal deficiency and grazing pressure. The combined observations and process studies show that the initiation of the phytoplankton bloom, dominated by nanoplanktonic species, was determined by the physical processes operating in the marginal ice zone at the time of ice melting. The additional effects of grazing pressure by protozoa and deep mixing appeared responsible for a rather moderate phytoplankton biomass (4 mg Chla m−3) with a relatively narrow geographical extent (100–150 km). The rôle of trace constituents, in particular iron, was minor. The importance of each factor during the seasonal development of the ice-edge phytoplankton bloom was studied through modelling of reasonable scenarios of meteorological and biological forcing, making use of a one-dimensional coupled physicalbiological model. The analysis of simulations clearly shows that wind mixing events — their duration, strength and frequency — determines both the distance from the iceedge of the sea ice associated phytoplankton bloom and the occurrence in the ice-free area of secondary phytoplankton blooms during the summer period. The magnitude and extent of the ice-edge bloom is determined by the combined action of meteorological conditions and grazing pressure. In the absence of grazers, a maximum ice-edge bloom of 7.5 mg Chla m−3 is predicted under averaged wind conditions of 8 m s−1. Extreme constant wind scenarios (4–14 m s−1) combined with realistic grazing pressure predict maximum ice-edge phytoplankton concentrations varying from 11.5 to 2 mg Chla m−3. Persistent violent wind conditions (≥ 14 m s−1) are shown to prevent blooms from developing even during the brightest period of the year.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF01681979
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  • 5
    Electronic Resource
    Electronic Resource
    Size-fractionated primary production in the open Southern Ocean in austral spring (1995)
    Springer
    Polar biology 15 (1995), S. 381-392 
    Details
    ISSN: 1432-2056
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract Size-fractionated primary production was measured by carbon-14 uptake incubations on three transects between 47°S and 59°30′S along 6°W in October/November 1992. Open Antarctic Circumpolar Current and ice-covered Weddell Gyre water showed comparable low productivity (∼0.3 gCm−2 day−1) and size distribution. Picoplankton (〈2 μm) was the dominant size fraction, contributing approximately half to the total water column production. The significance of larger (〉20 μm) phytoplankton was only minor. Productivity in the Polar Front Zone north of 50°S, with higher water column stability, was up to 10 times higher with microplankton (〉20 μm) being predominant. No ice-edge bloom occurred over the 2 months study period; this is explained by non-favourable hydrographic conditions for blooming and the lack of melt-water lenses upon ice retreat. Picoplankton tended to make higher contributions at lower water column stability, and microplankton to make higher contributions at higher stability. Mixing, together with light climate, are discussed as the driving forces for Antarctic primary production and for its size structure.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00239714
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  • 6
    Electronic Resource
    Electronic Resource
    Respiratory electron transport activity in plankton of the Weddell and Scotia Seas during late spring — early summer: relationships with other biological parameters (1992)
    Springer
    Polar biology 12 (1992), S. 35-42 
    Details
    ISSN: 1432-2056
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Summary As a means to estimate potential oxygen consumption, profiles of elctron transport system (ETS) activity were made along three transects across the Weddell-Scotia Confluence zone (WSC) and the marginal ice zone (which overlapped in part) during the EPOS leg 2 cruise of the RV Polarstern. The integrated ETS activity between 0 and 100 m depth (referred to in situ temperatures) ranged from 261 meq (mili-electron equivalents) m−2 day−1 in the WSC to 45 meq m−2 day−1 in the southernmost stations at 62° S. The temporal changes in the overall distribution of ETS activity were small compared with the spatial variations. The main feature of the ETS activity distribution was the presence of maxima located in the WSC, coinciding with peaks of phytoplankton biomass. Different relationships between ETS and chlorophyll a concentration in these maxima appeared to be related to diatom or flagellate dominance. Vertically integrated ETS activities were significantly correlated with chlorophyll a and paniculate organic carbon concentrations, primary production and bacterial thymidine uptake.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00239963
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  • 7
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    Biogenic and lithogenic silica, silicic acid, production of biogenic silica, and irradiance measured during the Ross Sea Bloom Project 1995/96 cruise of RVIB Nathaniel B. Palmer
    PANGAEA
    Details
    Publication Date: 2023-05-12
    Keywords: Biogenic and lithogenic silica concentration (Brzezinski & Nelson 1989); Biogenic silica; Bio-Rosette; Bottle, Niskin; BRO; Date/Time of event; DEPTH, water; Event label; Irradiance; Latitude of event; Lithogenic silica; Longitude of event; Nathaniel B. Palmer; NBP94-06; NIS; Production of biogenic silica; Ross Sea; RossSeaBloomProject1995/1996; RSBP1995/1996-010196-03; RSBP1995/1996-010196-10; RSBP1995/1996-010296-07; RSBP1995/1996-010396-03; RSBP1995/1996-010396-13; RSBP1995/1996-010396-17; RSBP1995/1996-010396-20; RSBP1995/1996-010496-04; RSBP1995/1996-010596-01; RSBP1995/1996-010596-03; RSBP1995/1996-010596-14; RSBP1995/1996-010696-03; RSBP1995/1996-010696-07; RSBP1995/1996-010696-12; RSBP1995/1996-010796-02; RSBP1995/1996-010796-12; RSBP1995/1996-010796-17; RSBP1995/1996-010896-03; RSBP1995/1996-010896-11; RSBP1995/1996-010896-15; RSBP1995/1996-010996-04; RSBP1995/1996-010996-14; RSBP1995/1996-010996-16; RSBP1995/1996-011096-03; RSBP1995/1996-011096-13; RSBP1995/1996-011196-02; RSBP1995/1996-011196-11; RSBP1995/1996-011196-14; RSBP1995/1996-011296-03; RSBP1995/1996-011296-14; RSBP1995/1996-011296-20; RSBP1995/1996-011396-02; RSBP1995/1996-011396-09; RSBP1995/1996-011396-14; RSBP1995/1996-011396-20; RSBP1995/1996-011496-02; RSBP1995/1996-011496-03; RSBP1995/1996-121795-11; RSBP1995/1996-122095-01; RSBP1995/1996-122195-01; RSBP1995/1996-122195-13; RSBP1995/1996-122295-02; RSBP1995/1996-122295-03; RSBP1995/1996-122295-06; RSBP1995/1996-122295-08; RSBP1995/1996-122295-12; RSBP1995/1996-122395-01; RSBP1995/1996-122395-03; RSBP1995/1996-122395-10; RSBP1995/1996-122395-14; RSBP1995/1996-122395-16; RSBP1995/1996-122495-04; RSBP1995/1996-122495-10; RSBP1995/1996-122495-11; RSBP1995/1996-122695-01; RSBP1995/1996-122695-11; RSBP1995/1996-122695-15; RSBP1995/1996-122795-01; RSBP1995/1996-122795-05; RSBP1995/1996-122795-14; RSBP1995/1996-122795-15; RSBP1995/1996-122895-03; RSBP1995/1996-122895-06; RSBP1995/1996-122895-13; RSBP1995/1996-12295-10; RSBP1995/1996-122995-03; RSBP1995/1996-122995-06; RSBP1995/1996-123095-01; RSBP1995/1996-123095-17; RSBP1995/1996-123095-23; RSBP1995/1996-123195-04; Silicic acid uptake rate, specific; Si uptake (Brzezinski & Phillips 1997); Station#10-CTD#19; Station#11-CTD#21; Station#12-CTD#23; Station#13-CTD#24; Station#14-CTD#26; Station#15-CTD#28; Station#16-CTD#29; Station#17-CTD#33; Station#18-CTD#35; Station#19-CTD#37; Station#1-CTD#2; Station#20-CTD#38; Station#21-CTD#40; Station#22-CTD#42; Station#22-CTD#43; Station#23-CTD#45; Station#24-CTD#46; Station#25-CTD#48; Station#26-CTD#49; Station#26-CTD#50; Station#28-CTD#53; Station#2-CTD#3; Station#31-CTD#57; Station#33-CTD#59; Station#35-CTD#61; Station#36-CTD#62; Station#37-CTD#64; Station#39-CTD#67; Station#3-CTD#4; Station#40-CTD#69; Station#41-CTD#71; Station#42-CTD#73; Station#43-CTD#74; Station#44-CTD#76; Station#45-CTD#78; Station#47-CTD#80; Station#49-CTD#83; Station#4-CTD#6; Station#54-CTD#88; Station#56-CTD#91; Station#58-CTD#93; Station#5-CTD#10; Station#5-CTD#9; Station#61-CTD#96; Station#65-CTD#101; Station#67-CTD#103; Station#68-CTD#104; Station#6-CTD#11; Station#71-CTD#108; Station#72-CTD#110; Station#73-CTD#112; Station#74-CTD#114; Station#75-CTD#115; Station#77-CTD#118; Station#79-CTD#121; Station#7-CTD#13; Station#7-CTD#14; Station#81-CTD#124; Station#83-CTD#127; Station#84-CTD#129; Station#86-CTD#132; Station#88-CTD#135; Station#89-CTD#137; Station#8-CTD#15; Station#90-CTD#138; Station#91-CTD#140; Station#92-CTD#141; Station#93-CTD#143; Station#94-CTD#144; Station#95-CTD#145; Station#9-CTD#18
    Type: Dataset
    Format: text/tab-separated-values, 3522 data points
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    DATA PANGAEA
  • 8
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    Biogenic and lithogenic silica, silicic acid, production of biogenic silica, and irradiance measured during the Ross Sea Bloom Project 1994 cruise of RVIB Nathaniel B. Palmer
    PANGAEA
    Details
    Publication Date: 2023-05-12
    Keywords: Biogenic and lithogenic silica concentration (Brzezinski & Nelson 1989); Biogenic silica; Bottle, Niskin; Date/Time of event; DEPTH, water; Event label; Irradiance; Latitude of event; Lithogenic silica; Longitude of event; Nathaniel B. Palmer; NBP94-06; NIS; Production of biogenic silica; Ross Sea; RossSeaBloomProject1994; RSBP1994-111394-04; RSBP1994-111494-04; RSBP1994-111494-13; RSBP1994-111594-03; RSBP1994-111594-05; RSBP1994-111594-15; RSBP1994-111694-07; RSBP1994-111694-13; RSBP1994-111694-14; RSBP1994-111794-04; RSBP1994-111794-05; RSBP1994-111894-02; RSBP1994-111994-03; RSBP1994-111994-05; RSBP1994-112094-01; RSBP1994-112094-02; RSBP1994-112094-06; RSBP1994-112094-09; RSBP1994-112194-02; RSBP1994-112194-04; RSBP1994-112194-12; RSBP1994-112294-07; RSBP1994-112294-13; RSBP1994-112394-04; RSBP1994-112494-03; RSBP1994-112694-01; RSBP1994-112794-03; RSBP1994-112794-09; Si uptake (Nelson & Goering, 1977); Station#11-CTD#22; Station#13-CTD#26; Station#15-CTD#30; Station#15-CTD#31; Station#17-CTD#34; Station#18-CTD#35; Station#19-CTD#38; Station#21-CTD#44; Station#21-CTD#45; Station#22-CTD#47; Station#22-CTD#48; Station#23-CTD#49; Station#23-CTD#50; Station#25-CTD#53; Station#25-CTD#54; Station#27-CTD#58; Station#31-CTD#64; Station#33-CTD#67; Station#36-CTD#72; Station#37-CTD#76; Station#39-CTD#83; Station#43-CTD#91; Station#45-CTD#93; Station#4-CTD#6; Station#7-CTD#11; Station#7-CTD#14; Station#9-CTD#17; Station#9-CTD#18
    Type: Dataset
    Format: text/tab-separated-values, 359 data points
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    DATA PANGAEA
  • 9
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    Biogenic and lithogenic silica, silicic acid, production of biogenic silica, and irradiance measurements during the Ross Sea Bloom Project 1994-1996
    PANGAEA
    In:  Supplement to: Smith, Walker O Jr; Nelson, David M; Mathot, Sylvie (1999): Phytoplankton growth rates in the Ross Sea, Antarctica, determined by independent methods: temporal variations. Journal of Plankton Research, 21(8), 1519-1536, https://doi.org/10.1093/plankt/21.8.1519
    Details
    Publication Date: 2023-05-12
    Description: The development of the seasonal phytoplankton bloom in the Ross Sea was studied during two cruises. The first, conducted in November-December 1994, investigated the initiation and rapid growth of the bloom, whereas the second (December 1995-January 1996) concentrated on the bloom's maximum biomass period and the subsequent decline in biomass. Central to the understanding of the controls of growth and the summer decline of the bloom is a quantitative assessment of the growth rate of phytoplankton. Growth rates were estimated over two time scales with different methods. The first estimated daily growth rates from isotropic incorporation under simulated in situ conditions, including 14C, 15N and 32Si uptake measurements combined with estimates of standing stocks of particulate organic carbon, nitrogen and biogenic silica. The second method used daily to weekly changes in biomass at selected locations, with net growth rates being estimated from changes in standing stocks of phytoplankton. In addition, growth rates were estimated in large-volume experiments under optimal irradiances. Growth rates showed distinct temporal patterns. Early in the growing season, short-term estimates suggested that growth rates of in situ assemblages were less than maximum (relative to the temperature-limited maximum) and were likely reduced due to low irradiance regimes encountered under the ice. Growth rates increased thereafter and appeared to reach their maximum as biomass approached the seasonal peak, but decreased markedly in late December. Differences between the major taxonomic groups present were also noted, especially from the isotopic tracer experiments. The haplophyte Phaeocystic antarctica was dominant in 1994 throughout the growing season, and it exhibited the greatest growth rates (mean 0.41/day) during spring. Diatom standing stocks were low early in the growing season, and growth rates averaged 0.100/day. In summer diatoms were more abundant, but their growth rates remained much lower (mean of 0.08/day) than the potential maximum. Understanding growth rate controls is essential to the development of predictive models of the carbon cycle and food webs in Antarctic waters.
    Keywords: Bio-Rosette; Bottle, Niskin; BRO; Nathaniel B. Palmer; NBP94-06; NIS; Ross Sea; RossSeaBloomProject1994; RossSeaBloomProject1995/1996; RSBP1994-111394-04; RSBP1994-111494-04; RSBP1994-111494-13; RSBP1994-111594-03; RSBP1994-111594-05; RSBP1994-111594-15; RSBP1994-111694-07; RSBP1994-111694-13; RSBP1994-111694-14; RSBP1994-111794-04; RSBP1994-111794-05; RSBP1994-111894-02; RSBP1994-111994-03; RSBP1994-111994-05; RSBP1994-112094-01; RSBP1994-112094-02; RSBP1994-112094-06; RSBP1994-112094-09; RSBP1994-112194-02; RSBP1994-112194-04; RSBP1994-112194-12; RSBP1994-112294-07; RSBP1994-112294-13; RSBP1994-112394-04; RSBP1994-112494-03; RSBP1994-112694-01; RSBP1994-112794-03; RSBP1994-112794-09; RSBP1995/1996-010196-03; RSBP1995/1996-010196-10; RSBP1995/1996-010296-07; RSBP1995/1996-010396-03; RSBP1995/1996-010396-13; RSBP1995/1996-010396-17; RSBP1995/1996-010396-20; RSBP1995/1996-010496-04; RSBP1995/1996-010596-01; RSBP1995/1996-010596-03; RSBP1995/1996-010596-14; RSBP1995/1996-010696-03; RSBP1995/1996-010696-07; RSBP1995/1996-010696-12; RSBP1995/1996-010796-02; RSBP1995/1996-010796-12; RSBP1995/1996-010796-17; RSBP1995/1996-010896-03; RSBP1995/1996-010896-11; RSBP1995/1996-010896-15; RSBP1995/1996-010996-04; RSBP1995/1996-010996-14; RSBP1995/1996-010996-16; RSBP1995/1996-011096-03; RSBP1995/1996-011096-13; RSBP1995/1996-011196-02; RSBP1995/1996-011196-11; RSBP1995/1996-011196-14; RSBP1995/1996-011296-03; RSBP1995/1996-011296-14; RSBP1995/1996-011296-20; RSBP1995/1996-011396-02; RSBP1995/1996-011396-09; RSBP1995/1996-011396-14; RSBP1995/1996-011396-20; RSBP1995/1996-011496-02; RSBP1995/1996-011496-03; RSBP1995/1996-121795-11; RSBP1995/1996-122095-01; RSBP1995/1996-122195-01; RSBP1995/1996-122195-13; RSBP1995/1996-122295-02; RSBP1995/1996-122295-03; RSBP1995/1996-122295-06; RSBP1995/1996-122295-08; RSBP1995/1996-122295-12; RSBP1995/1996-122395-01; RSBP1995/1996-122395-03; RSBP1995/1996-122395-10; RSBP1995/1996-122395-14; RSBP1995/1996-122395-16; RSBP1995/1996-122495-04; RSBP1995/1996-122495-10; RSBP1995/1996-122495-11; RSBP1995/1996-122695-01; RSBP1995/1996-122695-11; RSBP1995/1996-122695-15; RSBP1995/1996-122795-01; RSBP1995/1996-122795-05; RSBP1995/1996-122795-14; RSBP1995/1996-122795-15; RSBP1995/1996-122895-03; RSBP1995/1996-122895-06; RSBP1995/1996-122895-13; RSBP1995/1996-12295-10; RSBP1995/1996-122995-03; RSBP1995/1996-122995-06; RSBP1995/1996-123095-01; RSBP1995/1996-123095-17; RSBP1995/1996-123095-23; RSBP1995/1996-123195-04; Station#10-CTD#19; Station#11-CTD#21; Station#11-CTD#22; Station#12-CTD#23; Station#13-CTD#24; Station#13-CTD#26; Station#14-CTD#26; Station#15-CTD#28; Station#15-CTD#30; Station#15-CTD#31; Station#16-CTD#29; Station#17-CTD#33; Station#17-CTD#34; Station#18-CTD#35; Station#19-CTD#37; Station#19-CTD#38; Station#1-CTD#2; Station#20-CTD#38; Station#21-CTD#40; Station#21-CTD#44; Station#21-CTD#45; Station#22-CTD#42; Station#22-CTD#43; Station#22-CTD#47; Station#22-CTD#48; Station#23-CTD#45; Station#23-CTD#49; Station#23-CTD#50; Station#24-CTD#46; Station#25-CTD#48; Station#25-CTD#53; Station#25-CTD#54; Station#26-CTD#49; Station#26-CTD#50; Station#27-CTD#58; Station#28-CTD#53; Station#2-CTD#3; Station#31-CTD#57; Station#31-CTD#64; Station#33-CTD#59; Station#33-CTD#67; Station#35-CTD#61; Station#36-CTD#62; Station#36-CTD#72; Station#37-CTD#64; Station#37-CTD#76; Station#39-CTD#67; Station#39-CTD#83; Station#3-CTD#4; Station#40-CTD#69; Station#41-CTD#71; Station#42-CTD#73; Station#43-CTD#74; Station#43-CTD#91; Station#44-CTD#76; Station#45-CTD#78; Station#45-CTD#93; Station#47-CTD#80; Station#49-CTD#83; Station#4-CTD#6; Station#54-CTD#88; Station#56-CTD#91; Station#58-CTD#93; Station#5-CTD#10; Station#5-CTD#9; Station#61-CTD#96; Station#65-CTD#101; Station#67-CTD#103; Station#68-CTD#104; Station#6-CTD#11; Station#71-CTD#108; Station#72-CTD#110; Station#73-CTD#112; Station#74-CTD#114; Station#75-CTD#115; Station#77-CTD#118; Station#79-CTD#121; Station#7-CTD#11; Station#7-CTD#13; Station#7-CTD#14; Station#81-CTD#124; Station#83-CTD#127; Station#84-CTD#129; Station#86-CTD#132; Station#88-CTD#135; Station#89-CTD#137; Station#8-CTD#15; Station#90-CTD#138; Station#91-CTD#140; Station#92-CTD#141; Station#93-CTD#143; Station#94-CTD#144; Station#95-CTD#145; Station#9-CTD#17; Station#9-CTD#18
    Type: Dataset
    Format: application/zip, 2 datasets
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    DATA PANGAEA
  • 10
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    Documentation of primary production measurements (1997)
    PANGAEA
    In:  EPIC3Smetacek, Victor; de Baar, Hein JW; Bathmann, Ulrich; Lochte, Karin; Rutgers van der Loeff, Michiel M (1997): Ecology and biogeochemistry of the Antarctic circumpolar current during austral spring: Southern Ocean JGOFS Cruise ANT X/6 of R.V. Polarstern. D, Bremerhaven, PANGAEA, pp. 00100-2
    Details
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
    Format: application/pdf
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