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  • Articles  (7,759)
  • Data  (8)
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  • 1
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    Effects of depth and initial fragment weights of Gracilaria gracilis on the growth, agar yield, quality, and biochemical composition. (2019)
    Details
    Publication Date: 2021-05-19
    Description: Gracilaria gracilis farming was conducted in the Bizerte lagoon (North of Tunisia) at two depths (0.5 and 2.5 m) using various initial fragment weights (5, 20, and 40 g) in order to investigate the alga growth, agar yield, and quality. IR spectra of agar were performed in comparison to the commercial one. Moreover, the proximate biochemical composition of seaweeds was investigated. The results showed that the highest daily growth rate and agar yield were recorded at 0.5 m, using 5 g as initial fragment weight (5.98 ± 1.98% day−1, 14.87 ± 1.91% dw, respectively). Maximum gel strength was 356.67 ± 15.25 g cm−2 at 2.5 m using an initial weight of 20 g. Gelling and melting temperatures varied from 34.33 ± 0.57 to 35.50 ± 0.57 °C and from 77.00 ± 1.00 to 85.00 ± 0.50 °C, respectively. IR analysis revealed that some spectra were similar, while others were different. The highest dry matter (22.68 ± 1.77%) and ash content (35.25 ± 0.02% of dw) were recorded at 2.5 m, using initial weights of 20 and 5 g, respectively. The maximum carbohydrate and the crude protein contentswere obtained at 0.5m, using 5 g as initialweight (9.52 ± 0.36 and 5.83 ± 0.7% dw, respectively). The highest R-phycoerythrin content was recorded at 0.5m(0.050 ± 0.007 mg g−1 dw), while the maximum of total lipid content was recorded at 2.5 m with initial weight of 5 g (3.58 ± 0.63% dw). Our findings indicated that growth and biochemical composition of G. gracilis depend on the depth and initial fragment weights.
    Description: In Press
    Keywords: Gracilaria gracilis ; Red seaweed ; Culture ; Agar ; IR spectroscopy ; Biochemical composition
    Repository Name: AquaDocs
    Type: Journal Contribution , Refereed
    Format: pp. 2499–2512
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    PAPER (OA)
  • 2
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    Effects of depth and initial fragment weights of Gracilaria gracilis on the growth, agar yield, quality, and biochemical composition (2018)
    Springer
    Details
    Publication Date: 2018-02-08
    Print ISSN: 0921-8971
    Electronic ISSN: 1573-5176
    Topics: Biology
    Published by Springer
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    PAPER CURRENT
  • 3
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    Realization and control of a wind turbine connected to the grid by using PMSG (2014)
    Elsevier
    Details
    Publication Date: 2014-08-01
    Print ISSN: 0196-8904
    Electronic ISSN: 1879-2227
    Topics: Energy, Environment Protection, Nuclear Power Engineering , Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
    Published by Elsevier
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    PAPER CURRENT
  • 4
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    A novel combined MPPT-pitch angle control for wide range variable speed wind turbine based on neural network (2016)
    Elsevier
    Details
    Publication Date: 2016-06-01
    Print ISSN: 0360-3199
    Electronic ISSN: 1879-3487
    Topics: Energy, Environment Protection, Nuclear Power Engineering
    Published by Elsevier
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    PAPER CURRENT
  • 5
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    Analysis of Cyclone Mekunu rainfall samples in 2018, Southern Oman (2019)
    PANGAEA
    In:  Supplement to: Müller, Thomas H; Friesen, Jan; Weise, Stephan M; Al Abri, Omar; Ali Bait Said, Ali Bakhit; Michelsen, Nils (2020): Stable Isotope Composition of Cyclone Mekunu Rainfall, Southern Oman. Water Resources Research, 56(12), https://doi.org/10.1029/2020WR027644
    Details
    Publication Date: 2023-01-13
    Description: Cyclone Mekunu precipitation has been collected at three stations in southern Oman.
    Keywords: Arabian Peninsula; cyclone; Hydrochemistry; Mekunu; Stable isotopes
    Type: Dataset
    Format: application/zip, 2 datasets
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    DATA PANGAEA
  • 6
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    Isotopic composition of Cyclone Mekunu rainfall in 2018, Southern Oman (2019)
    PANGAEA
    Details
    Publication Date: 2023-01-13
    Description: Hydrogen and oxygen stable isotope analyses of precipitation sampled during Cyclone Mekunu. During Cyclone Mekunu rainfall samples were taken at three different stations in southern Oman. The results are expressed in per mil using the conventional delta-notation relative to Vienna Standard Mean Ocean Water (V-SMOW). More or less independent from the instrument, the 1s reproducibility is commonly better than ± 0.2 per mil (d18O) and ± 0.4 per mil (d2H).
    Keywords: Arabian Peninsula; cyclone; DATE/TIME; Deuterium excess; Event label; Interval number; Latitude of event; Longitude of event; Mekunu; Oman; Oman_M1; Oman_M2; Oman_M3; Precipitation; RAIN; Rain water collector; Stable isotopes; δ18O, water; δ Deuterium, water
    Type: Dataset
    Format: text/tab-separated-values, 263 data points
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    DATA PANGAEA
  • 7
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    Global database of key seagrass structure, biomass and production variables (2021)
    PANGAEA
    Details
    Publication Date: 2024-03-02
    Description: Seagrass meadows provide valuable socio-ecological ecosystem services, including a key role in climate change mitigation and adaption. Understanding the natural history of seagrass meadows across environmental gradients is crucial to decipher the role of seagrasses worldwide. This database comprises of data compiled from peer-previewed publications (1975-2020; based on a Web of Science search) containing 11 individual measures of seagrass meadow structure (e.g. percent cover), biomass (e.g. above-ground biomass) and productivity (e.g. shoot production). Each row of data also includes biological, spatial and temporally relevant information such as bioregion, latitude, longitude, sampling year and genera. This compiled database will facilitate a deeper understanding of spatial and temporal patterns in seagrass meadow structure, biomass and production characteristics globally.
    Keywords: Genus; global compilation; Habitat; LATITUDE; LONGITUDE; Reference/source; Seagrass, biomass, aboveground, dry mass; Seagrass, biomass, belowground, dry mass; Seagrass, biomass, total, dry mass; Seagrass, cover; Seagrass, leaf density; Seagrass, leaf production, dry mass; Seagrass, productivity, aboveground, dry mass; Seagrass, productivity, belowground, dry mass; Seagrass, productivity, total, dry mass; Seagrass, shoot density; Seagrass, shoot production, dry mass; seagrass biomass; Seagrass bioregion; seagrass ecosystems; seagrass production; Year of observation
    Type: Dataset
    Format: text/tab-separated-values, 47546 data points
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    DATA PANGAEA
  • 8
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    Rare earth elements (REE) composition of granulometric size fractions from cores taken in the Indian Ocean (2023)
    PANGAEA
    Details
    Publication Date: 2024-02-29
    Description: Cores retrieved in the Indian Ocean by R/V Marion Dufresne have been selected in conjunction with manganese nodules dredged in their vicinity. A sample was taken for each ore intis top part (0-2 cm). After being cleaned in a permangante solution eight granulometric fractions were separated (〉35, 35-20, 20-5, 5-2, 2-1, 1-0.5, 0.5-0.2 and 〈0.2 µm) using sieving followed by decantation and centrifugation. Rare earth elements (REE) composition was determined by neutron activation analysis.
    Keywords: BC; Box corer; Cerium; Deposit type; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Elevation of event; Europium; Event label; Geochemistry; Identification; Indian Ocean; Lanthanum; Latitude of event; Longitude of event; Lutetium; manganese micronodule; manganese nodule; Marion Dufresne (1972); MD06; MD 06-29-AT; MD14; MD14-27; MD14-29A; MD14-2D; MD-AT750002; MD-AT770020; MD-AT770021; MD-SI770001; NEMROD; Neodymium; Neutron activation analysis; NOAA and MMS Marine Minerals Geochemical Database; NOAA-MMS; NOSICAA; ocean; PC; Piston corer; Samarium; sediment; Size fraction; Terbium; Ytterbium
    Type: Dataset
    Format: text/tab-separated-values, 468 data points
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    DATA PANGAEA
  • 9
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    Rare earth elements (REE) composition of manganese nodules from the Indian Ocean (2023)
    PANGAEA
    Details
    Publication Date: 2024-02-29
    Description: Manganese nodules dredged in the Indian Ocean by R/V Marion Dufresne have been selected in conjunction with cores taken in their vicinity. Most of these samples are spherical or botryoidal with a volcanics core. The rind around the cores were separated and dryied at 100°C during 48 hours before being crushed into a fine powder. Rare earth elements (REE) composition was determined by neutron activation analysis.
    Keywords: Cerium; Deposit type; DEPTH, sediment/rock; Dredge; DRG; Elevation of event; Europium; Event label; Geochemistry; Identification; Indian Ocean; Lanthanum; Latitude of event; Longitude of event; Lutetium; manganese micronodule; manganese nodule; Marion Dufresne (1972); MD06; MD 06-29; MD14; MD14-28; MD14-29B; MD14-2C; MD-DR770016; MD-DR770017; MD-DR770018; MD-DS750001; NEMROD; Neodymium; Neutron activation analysis; NOAA and MMS Marine Minerals Geochemical Database; NOAA-MMS; NOSICAA; ocean; PC; Piston corer; Samarium; sediment; Terbium; Ytterbium
    Type: Dataset
    Format: text/tab-separated-values, 50 data points
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    DATA PANGAEA
  • 10
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    Seawater carbonate chemistry and suvival, growth, and biochemical constituents of Artemia franciscana (2021)
    PANGAEA
    Details
    Publication Date: 2024-03-15
    Description: Ocean acidification is becoming a potential threat to marine animals. The present study investigated the effect of seawater acidification on Artemia franciscana. A. franciscana cysts were allowed to hatch at different pH levels of pH 8.2 (control), 7.8, and 6.8. After 48 h incubation, the hatching percentage was significantly reduced in acidified seawater compared to that in control. Further, the hatched Artemia nauplii from each pH treatment were transferred to freshly acidified seawater for chronic study for 15 days. At the end of the experiment, survival, growth, and biochemical constituents were significantly decreased in Artemia at pH 7.8 and 6.8 compared to that in control, which indicates the adverse effects of acidified seawater on Artemia. The antioxidants, lipid peroxidation, and metabolic enzymes were significantly elevated in A. franciscana exposed to acidified seawater compared to that in control, which shows oxidative and metabolic stress on A. franciscana under acidified environment.
    Keywords: Alkalinity, total; Alkalinity, total, standard deviation; Amino acid, standard deviation; Amino acids; Ammonia; Ammonia, standard deviation; Animalia; Aragonite saturation state; Aragonite saturation state, standard deviation; Artemia franciscana; Arthropoda; Benthic animals; Benthos; Bicarbonate ion; Bicarbonate ion, standard deviation; Body length; Body length, standard deviation; Bottles or small containers/Aquaria (〈20 L); Calcite saturation state; Calcite saturation state, standard deviation; Calculated using seacarb after Nisumaa et al. (2010); Calculated using seacarb after Orr et al. (2018); Carbohydrates, total; Carbohydrates, total, standard deviation; Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, standard deviation; Carbonate ion; Carbonate ion, standard deviation; Carbonate system computation flag; Carbon dioxide; Carbon dioxide, standard deviation; Catalase activity, per protein mass; Catalase activity, standard deviation; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Fugacity of carbon dioxide in seawater, standard deviation; Glutamic oxaloacetate transaminase activity; Glutamic oxaloacetate transaminase activity, standard deviation; Glutamic pyruvate transaminase activity; Glutamic pyruvate transaminase activity, standard deviation; Growth/Morphology; Hatching rate; Hatching rate, standard deviation; Laboratory experiment; Laboratory strains; Lipid peroxidation activity, per protein; Lipid peroxidation activity, standard deviation; Lipids, total; Lipids, total, standard deviation; Mortality/Survival; Not applicable; OA-ICC; Ocean Acidification International Coordination Centre; Other metabolic rates; Oxygen, dissolved; Oxygen, dissolved, standard deviation; Partial pressure of carbon dioxide, standard deviation; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); pH; pH, standard deviation; Proteins, standard deviation; Proteins per fresh mass; Registration number of species; Reproduction; Salinity; Salinity, standard deviation; Single species; Species; Superoxide dismutase activity, per protein; Superoxide dismutase activity, standard deviation; Survival; Survival rate, standard deviation; Temperature, water; Temperature, water, standard deviation; Treatment; Type; Uniform resource locator/link to reference
    Type: Dataset
    Format: text/tab-separated-values, 204 data points
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    DATA PANGAEA
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