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  • 1
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    Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
    In:  EPIC3Berichte zur Polar- und Meeresforschung = Reports on polar and marine research, Bremerhaven, Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung, 786, 65 p., pp. 1-65, ISSN: 1866-3192
    Publication Date: 2024-06-14
    Repository Name: EPIC Alfred Wegener Institut
    Type: "Berichte zur Polar- und Meeresforschung" , notRev
    Format: application/pdf
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  • 2
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    Naturalis Biodiversity Center
    In:  Blumea: Biodiversity, Evolution and Biogeography of Plants vol. 66 no. 1, pp. 82-92
    Publication Date: 2024-06-14
    Description: The original set of botanical collections of the agronomist H.A. Homblé is conserved in the herbarium BR. Homblé was one of the first collectors (1911–1913) for the flora of Katanga, Democratic Republic of the Congo. Many Homblé specimens were described as taxonomic novelties; 107 tropical African plant species are named after him. Before his colonial career in Katanga, Homblé stayed about two years (1909–1911) in Guangxi, China. His incompletely labelled Chinese collections were erroneously considered as collected in Katanga. This supposed African origin has led to confusion with regard to the identification, and even resulted in the description of four species believed to be new for science. This paper presents and discusses Homblé’s collection made in Guangxi, and the assumed novelties in it. Drosera insolita is a synonym of the Asian Drosera lunata, widespread from India to Australia. Three other species are new synonyms. Caesalpinia homblei is a synonym of the pantropical Caesalpinia bonduc. Digitaria polybotryoides is a synonym of Digitaria abludens, a widespread species in tropical Asia. Grewia katangensis is the only species that proved to be synonymous with an endemic species, Grewia cuspidatoserrata, only known from S Yunnan, and here reported as a new record for Guangxi. Lysimachia candida and Impatiens chinensis should be deleted from the list of the Congo Flora. The importance of careful specimen labelling and label interpretation is discussed.
    Keywords: Plant Science ; Ecology ; Evolution ; Behavior and Systematics
    Repository Name: National Museum of Natural History, Netherlands
    Type: info:eu-repo/semantics/article
    Format: application/pdf
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  • 3
    Publication Date: 2024-06-13
    Description: This dataset contains abiotic and biotic data from sediment samples from nine sites in the Weddell Sea (mostly South-Eastern). Data are provided for sediment pigments (chlorophyll a and phaeopigment content through fluorometry), total organic carbon (TOC), total nitrogen (TN), stable isotope values of carbon and nitrogen (δ13C, δ15N) and grain size (silt&clay 〈 32 µm, very fine sand 63–125 µm sand, fine sand 125–250 µm, medium sand 250–500 µm, coarse sand 500–1000 µm, larger coarse sand 〉 1000 µm). Before the TOC and carbon isotope analysis the sediment samples were acidified to eliminate inorganic carbon. A minimum of three replicate samples (cores) were collected using a MUC10 multicorer or giant box corer. Sediment cores were subsampled with a 60-ml syringe (inner diameter 2.7 cm) for stations 017, 026, 061, 072, and with a 10-ml syringe (inner diameter 1 cm) for stations 001, 037, 048, 104, 115. Subsamples were sliced in 1-cm steps down to 5 cm depth. Detailed methods are described in Säring et al. (submitted) except for stable isotopes: Flash combustion in a Flash 2000 (Thermo) elemental analyser to a Delta V advantage (Thermo) isotope ratio masspectrometer. δ values are reported relative to atmospheric N2 (δ15N) and Vienna PeeDee Belemnite (δ13C). Reference materials for stable isotope analysis: IAEA-N1, IAEA-N2, IAEA-N3, NBS 22, IAEA-CH-3 and IAEA-CH-6; calibration material: Acetanilide (Merck). The analytical precision for both stable isotope ratios was 〈±0.2‰. Cores with the label -e (Environment) were only used to collect the above data. Environmental and fauna data were collected from cores with the label -i (Incubation). This data table is part of a larger study analysing the role of environmental parameters for meio- and macrofaunal community composition (see Related to below).
    Keywords: Antarctica; ANT-XXXI/2 FROSN; box corer; Carbon, organic, total; Chlorophyll a; Chlorophyll a per unit sediment mass; Cruise/expedition; Date/Time of event; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Elevation of event; Event label; Flash combustion in a Flash 2000 (Thermo) elemental analyser to a Delta V advantage (Thermo) isotope ratio masspectrometer; Flash combustion in a Flash 2000 (Thermo) elemental analyzer; Fluorometry; Gear; Gear identification number; Giant box corer; GKG; Grain size, Mastersizer 3000, Malvern Instrument Inc.; Grain size data; Latitude of event; Longitude of event; MUC; MultiCorer; Nitrogen, total; organic matter; phaeopigments; Phaeopigments per unit sediment mass; pigments; Polarstern; Priority Programme 1158 Antarctic Research with Comparable Investigations in Arctic Sea Ice Areas; PS96; PS96/001-7; PS96/001-8; PS96/017-3; PS96/026-10; PS96/026-11; PS96/026-7; PS96/026-8; PS96/037-8; PS96/037-9; PS96/048-7; PS96/048-8; PS96/061-5; PS96/061-6; PS96/072-10; PS96/072-8; PS96/072-9; PS96/104-2; PS96/104-3; PS96/115-2; Sample ID; sediment; Size fraction 〈 0.063 mm, mud, silt+clay; Size fraction 〉 1 mm, gravel; Size fraction 0.125-0.063 mm, 3.0-4.0 phi, very fine sand; Size fraction 0.250-0.125 mm, 2.0-3.0 phi, fine sand; Size fraction 0.500-0.250 mm, 1.0-2.0 phi, medium sand; Size fraction 1.000-0.500 mm, 0.0-1.0 phi, coarse sand; Southern Ocean; SPP1158; stable carbon isotope; Station label; total nitrogen; Total Organic Carbon; Weddell Sea; δ13C, total organic carbon; δ15N, bulk sediment
    Type: Dataset
    Format: text/tab-separated-values, 3611 data points
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  • 4
    Publication Date: 2024-06-13
    Description: Swath sonar bathymetry data used for that dataset was recorded during RV SONNE during cruise SO276 using Kongsberg EM 122 multibeam echosounder. The cruise took place between 22.06.2020 - 26.07.2020 in the Atlanic Ocean. Data were recorded throughout the whole time spend outside EEZs. The approximate average depth of the entire dataset is around 4000m. To enhance MBES data accuracy, sound velocity profile casts were conducted in the vicinity of the working area prior to the survey using CTD rosette. During transits, sound velocity profile from the WOA13 were aplied via Sound Speed Manager Software. After processing, these data were directly imported into the MBES Acquisition software Kongsberg SIS Seafloor Information System. Data were manually edited for false measurements using Qimera. Raster were calculated and stored in GeoTIFF format with a 100m resolution (negative values), WGS85 as vertical datum and UTM as a projection, both for EM122 & EM710. Data products include ungridded soundings and bathymetric grids (100 m resolution) of the entire cruise for each EM122 & EM710. The data processing and provision was accomplished within work package 2 of the EU Horizon 2020 project iAtlantic- Integrated Assessment of Atlantic Marine Ecosystem in Space and Time and the IceAge project.
    Keywords: Bathymetry; Binary Object; Binary Object (File Size); Binary Object (Media Type); Elevation, maximum; Elevation, minimum; File content; Horizontal datum; Horizontal datum, projection stored in file; iAtlantic; Integrated Assessment of Atlantic Marine Ecosystems in Space and Time; KEM122; KONGSBERG EM122; Latitude, northbound; Latitude, southbound; Longitude, eastbound; Longitude, westbound; MerMet 17-6; Multibeam; Raster cell size; SO276; SO276_0_Underway-2; Sonne_2; South Atlantic Ocean; UTM Easting, Universal Transverse Mercator; UTM Northing, Universal Transverse Mercator; UTM Zone, Universal Transverse Mercator
    Type: Dataset
    Format: text/tab-separated-values, 24 data points
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  • 5
    Publication Date: 2024-06-13
    Description: Raw multibeam bathymetry data were recorded on RV SONNE during SO276 using Kongsberg EM710 multibeam echosounder. The cruise took place between 22.06.2020 - 26.07.2020 in the Atlantic Ocean. Data were recorded throughout the whole time spend outside EEZs in areas shallower than 1500m with an approximate average depth of around 400m. To enhance MBES data accuracy, CTD casts were made in the working area prior to each MBES survey using CTD rosette to raytrace beams with the obtained sound velocity profiles (SVP). During transits, SVPs from the WOA13 were applied via Sound Speed Manager Software to the data directly during acquisition with SIS Seafloor Information System. Data are unprocessed and can therefore contain incorrect depth measurements (artifacts) without further processing. The data are archived at the Federal Maritime and Hydrographic Agency of Germany (Bundesamt für Seeschifffahrt und Hydrographie, BSH) and provided to PANGAEA database for data curation and publication. Ancillary sound velocity profiles (SVP) files from the cruise are archived at the BSH, thus SVP files are added to this dataset. Data acquisition and provision were accomplished within work package 2 of the EU Horizon 2020 project iAtlantic- Integrated Assessment of Atlantic Marine Ecosystem in Space and Time (https://www.iatlantic.eu/) IceAge project.
    Keywords: Bathymetry; Binary Object; Binary Object (File Size); Binary Object (Media Type); Comment; Data file recording distance; Data file recording duration; DATE/TIME; ELEVATION; EM710; File content; iAtlantic; IceAge; Icelandic marine Animals: Genetics and Ecology; Integrated Assessment of Atlantic Marine Ecosystems in Space and Time; Kongsberg datagram raw file name; LATITUDE; LONGITUDE; MerMet 17-6; Number of pings; Ship speed; SO276; SO276_0_Underway-4; Sonne_2; Start of data file, depth; Start of data file, heading; Start of data file recording, date/time; Start of data file recording, latitude; Start of data file recording, longitude; Stop of data file, depth; Stop of data file, heading; Stop of data file recording, date/time; Stop of data file recording, latitude; Stop of data file recording, longitude; Swath-mapping system Simrad EM710 (Kongsberg Maritime AS); Water Column Data
    Type: Dataset
    Format: text/tab-separated-values, 450 data points
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  • 6
    Publication Date: 2024-06-13
    Description: The dataset is about temporal variability of dissolved methane along the freshwater-sea continuum in northern Germany. Sensors were installed at fixed stations at in total three sites at different water depths. This dataset is from the station in Cuxhaven (53.8771 N, 8.7048 E) taken at about 2-7m depth (depending on the tide). The data was obtained between 11 April and 28 August 2021 in high frequency measurements (1 min) with a methane sensor from Kongsberg (4H Jena model CONTROS HydroC CH4). Methane concentrations were calculated according to manufacturer's instructions, based on temperature and salinity values from COSYNA Container Cuxhaven. For the quality control of the data a local range of 0.1 – 1000 nmol/L was set, a technical range for the pump power 2 – 8 Watt, a spike and gradient value of 1. Due to heavy biofouling the external pump of the sensor failed, resulting in data gaps. For a more detailed description see the article cited in References.
    Keywords: 2021_Cuxhaven_CH4; Alfred-Wegener-Institute; DATE/TIME; dissolved methane; Hereon; in situ data; MaGeCH; Methane, dissolved; Methane sensor, -4H- JENA engineering GmbH, CONTROS HydroC® CH₄; Modular Observation Solutions for Earth Systems; MOSES
    Type: Dataset
    Format: text/tab-separated-values, 95767 data points
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  • 7
    Publication Date: 2024-06-13
    Keywords: 297; DEPTH, sediment/rock; ECO2; James Cook; JC077; JC077-MC13; MEGAC; MegaCorer; Methane; Sub-seabed CO2 Storage: Impact on Marine Ecosystems
    Type: Dataset
    Format: text/tab-separated-values, 4 data points
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  • 8
    Publication Date: 2024-06-13
    Description: To determine the effect of the rate of temperature increase (acute vs. gradual) and magnitude as well as the timing of nutrient addition on a natural marine phytoplankton community, a bottle incubation experiment has been conducted at the Institute for Chemistry and Biology of the Marine Environment (ICBM) in Wilhelmshaven, Germany. The community was collected at the Helgoland Roads long-term time series site in the German part of the North Sea (https://deims.org/1e96ef9b-0915-4661-849f-b3a72f5aa9b1) on the 6ᵗʰ of March 2022. The surface water containing the phytoplankton community was collected from the RV HEINCKE with a pipe covered with a 200 µm net attached to a diaphragm pump. In the first experimental run, the community was exposed to either gradual or acute temperature increase (from 6 to either 12 or 18°C) with 25 different N:P supply ratios added as a batch at the beginning of the bottle incubation. Simultaneously, the same community was gradually acclimated to their experimental temperatures under ambient nutrients and was used in a second experimental run in which it received the same 25 different N:P supply ratios after temperature acclimation. The light conditions were set to 175 µmol s-1 m-2 and a day-night cycle of 12h:12h which corresponds to the natural conditions at that time of the year. With this, it was possible to test the effect of a gradual vs. acute temperature increase and the timing of nutrient addition i.e., before or after the temperature change. This experimental set-up summed up to 400 units (8 temperature treatments x 5 nitrogen levels x 5 phosphorus levels x 2 replicates). Each experimental run was ended after 12 days. Fluorescence (395/680 Exc./Em.) was measured every second day using a SYNERGY H1 microplate reader (BioTek®) to determine phototrophic growth over time. At the end of each experiment, one replicate was filtered onto pre-combusted acid-washed glass microfiber filters (WHATMAN® GF/C) for intracellular carbon (POC), nitrogen (PON), and phosphorus (POP) content. The POP filters were pre-combusted and then analysed by molybdate reaction after digestion with a potassium peroxydisulfate solution (Wetzel and Likens 2003). The POC and PON filters were dried at 60°C before they were measured in an elemental analyser (Flash EA 1112, Thermo Scientific, Walthman, MA, USA).
    Keywords: Bottle number; Calculated, ratio of molar masses; Carbon, organic, particulate; Carbon, organic, particulate/Nitrogen, organic, particulate ratio; Carbon, organic, particulate/Phosphorus, organic, particulate ratio; Date/time start, experiment; Diaphragm pump; coupled with pipe [covered with a 200 µm net]; Elemental analyzer (EA), Thermo Scientific, FlashEA 1112; Event label; Experimental run; growth; Growth rate, linear; HE593; HE593_SOT22; Heincke; Measured according to Wetzel and Likens (2000); N:P ratio; Nitrogen; Nitrogen, organic, particulate; Nitrogen, organic, particulate/Phosphorus, organic, particulate ratio; Nitrogen, total, dissolved/Phosphorus, total, dissolved ratio; Nitrogen, total dissolved; North Sea; nutrient limitation; nutrients; Phosphorus; Phosphorus, organic, particulate; Phosphorus, total dissolved; Phytoplankton; Replicates; SOT22; stoichiometry; Temperature; Temperature, water; Temperature change; temperature stress; Treatment: nitrogen; Treatment: Nitrogen/Phosphorus ratio; Treatment: phosphorus; Treatment: temperature description; Type of study
    Type: Dataset
    Format: text/tab-separated-values, 6800 data points
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  • 9
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    PANGAEA
    In:  Max-Planck-Institut für Meteorologie, Hamburg | Supplement to: Stemmler, Irene; Hense, Inga; Quack, Birgit; Maier-Reimer, Ernst (2014): Methyl iodide production in the open ocean. Biogeosciences, 11(16), 4459-4476, https://doi.org/10.5194/bg-11-4459-2014
    Publication Date: 2024-06-13
    Description: Production pathways of the prominent volatile organic halogen compound methyl iodide (CH3I) are not fully understood. Based on observations, production of CH3I via photochemical degradation of organic material or via phytoplankton production has been proposed. Additional insights could not be gained from correlations between observed biological and environmental variables or from biogeochemical modeling to identify unambiguously the source of methyl iodide. In this study, we aim to address this question of source mechanisms with a three-dimensional global ocean general circulation model including biogeochemistry (MPIOM-HAMOCC (MPIOM - Max Planck Institute Ocean Model HAMOCC - HAMburg Ocean Carbon Cycle model)) by carrying out a series of sensitivity experiments. The simulated fields are compared with a newly available global data set. Simulated distribution patterns and emissions of CH3I differ largely for the two different production pathways. The evaluation of our model results with observations shows that, on the global scale, observed surface concentrations of CH3I can be best explained by the photochemical production pathway. Our results further emphasize that correlations between CH3I and abiotic or biotic factors do not necessarily provide meaningful insights concerning the source of origin. Overall, we find a net global annual CH3I air-sea flux that ranges between 70 and 260 Gg/yr. On the global scale, the ocean acts as a net source of methyl iodide for the atmosphere, though in some regions in boreal winter, fluxes are of the opposite direction (from the atmosphere to the ocean).
    Keywords: File content; File name; File size; SOPRAN; Surface Ocean Processes in the Anthropocene; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 24 data points
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  • 10
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    PANGAEA
    In:  Max-Planck-Institut für Meteorologie, Hamburg | Supplement to: Stemmler, Irene; Hense, Inga; Quack, Birgit (2015): Marine sources of bromoform in the global open ocean – global patterns and emissions. Biogeosciences, 12(6), 1967-1981, https://doi.org/10.5194/bg-12-1967-2015
    Publication Date: 2024-06-13
    Description: Bromoform (CHBr3) is one important precursor of atmospheric reactive bromine species that are involved in ozone depletion in the troposphere and stratosphere. In the open ocean bromoform production is linked to phytoplankton that contains the enzyme bromoperoxidase. Coastal sources of bromoform are higher than open ocean sources. However, open ocean emissions are important because the transfer of tracers into higher altitude in the air, i.e. into the ozone layer, strongly depends on the location of emissions. For example, emissions in the tropics are more rapidly transported into the upper atmosphere than emissions from higher latitudes. Global spatio-temporal features of bromoform emissions are poorly constrained. Here, a global three-dimensional ocean biogeochemistry model (MPIOM-HAMOCC) is used to simulate bromoform cycling in the ocean and emissions into the atmosphere using recently published data of global atmospheric concentrations (Ziska et al., 2013) as upper boundary conditions. Our simulated surface concentrations of CHBr3 match the observations well. Simulated global annual emissions based on monthly mean model output are lower than previous estimates, including the estimate by Ziska et al. (2013), because the gas exchange reverses when less bromoform is produced in non-blooming seasons. This is the case for higher latitudes, i.e. the polar regions and northern North Atlantic. Further model experiments show that future model studies may need to distinguish different bromoform-producing phytoplankton species and reveal that the transport of CHBr3 from the coast considerably alters open ocean bromoform concentrations, in particular in the northern sub-polar and polar regions.
    Keywords: File content; File name; File size; SOPRAN; Surface Ocean Processes in the Anthropocene; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 28 data points
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