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  • 11
    Publication Date: 2024-04-27
    Description: Peatlands store and emit large amounts of greenhouse gases. With the climate changing due to global warming, measuring these emissions helps to get a better understanding of the role of peatlands in the global carbon cycle. Measurements at a bog site of the Siikaneva peatland show that the emissions vary along the different microtopographies shaped by their vegetation and ground water level. To upscale these measurements, a supervised classification of the study area was implemented in this study by testing a method that uses high-resolution multispectral aerial imagery, captured by a UAV (Uncrewed Aerial Vehicle), and a Random Forest classifier. A cohesive orthomosaic of the study area was produced, training data were generated to adjust the Random Forest model, and the study area was classified. The results show that the applied methods were successful in generating a multispectral orthomosaic as well as a classified raster of the study area. A mean classification accuracy of 75.7 % was achieved, which can be considered as a good result. Misclassification rates of neighboring microtopographies with similar vegetation could be mitigated by utilizing a LiDAR (Light Detection and Ranging) sensor in further studies.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Thesis , notRev
    Format: application/pdf
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  • 12
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    Naturalis Biodiversity Center
    In:  Persoonia - Molecular Phylogeny and Evolution of Fungi vol. 45, pp. 196-220
    Publication Date: 2024-04-27
    Description: Trunk disease fungal pathogens reduce olive production globally by causing cankers, dieback, and other decline-related symptoms on olive trees. Very few fungi have been reported in association with olive dieback and decline in South Africa. Many of the fungal species reported from symptomatic olive trees in other countries have broad host ranges and are known to occur on other woody host plants in the Western Cape province, the main olive production region of South Africa. This survey investigated the diversity of fungi and symptoms associated with olive dieback and decline in South Africa. Isolations were made from internal wood symptoms of 145 European and 42 wild olive trees sampled in 10 and 9 districts, respectively. A total of 99 taxa were identified among 440 fungal isolates using combinations of morphological and molecular techniques. A new species of Pseudophaeomoniella, P. globosa, had the highest incidence, being recovered from 42.8 % of European and 54.8 % of wild olive samples. This species was recovered from 9 of the 10 districts where European olive trees were sampled and from all districts where wild olive trees were sampled. Members of the Phaeomoniellales (mainly P. globosa) were the most prevalent fungi in five of the seven symptom types considered, the only exceptions being twig dieback, where members of the Botryosphaeriaceae were more common, and soft/white rot where only Basidiomycota were recovered. Several of the species identified are known as pathogens of olives or other woody crops either in South Africa or elsewhere in the world, including species of Neofusicoccum, Phaeoacremonium, and Pleurostoma richardsiae. However, 81 of the 99 taxa identified have not previously been recorded on olive trees and have unknown interactions with this host. These taxa include one new genus and several putative new species, of which four are formally described as Celerioriella umnquma sp. nov., Pseudophaeomoniella globosa sp. nov., Vredendaliella oleae gen. & sp. nov., and Xenocylindrosporium margaritarum sp. nov.
    Keywords: Ecology ; Evolution ; Behavior and Systematics ; Celerioriella ; five new taxa ; Olea europaea subsp. cuspidata ; Olea europaea subsp. europaea ; phylogenetics ; Pseudophaeomoniella ; taxonomy ; Vredendaliella ; Xenocylindrosporium
    Repository Name: National Museum of Natural History, Netherlands
    Type: info:eu-repo/semantics/article
    Format: application/pdf
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  • 13
    Publication Date: 2024-04-27
    Description: The Tara Oceans Expedition (2009-2013) was a global survey of ocean ecosystems aboard the Sailing Vessel Tara. It carried out extensive measurements of evironmental conditions and collected plankton (viruses, bacteria, protists and metazoans) for later analysis using modern sequencing and state-of-the-art imaging technologies. Tara Oceans Data are particularly suited to study the genetic, morphological and functional diversity of plankton. The present data set includes properties of seawater, particulate matter and dissolved matter that were measured from discrete water samples collected with Niskin bottles during the 2009-2013 Tara Oceans expedition. Properties include pigment concentrations from HPLC analysis (10 depths per vertical profile, 25 pigments per depth), the carbonate system (Surface and 400m; pH (total scale), CO2, pCO2, fCO2, HCO3, CO3, Total alkalinity, Total carbon, OmegaAragonite, OmegaCalcite, and dosage Flags), nutrients (10 depths per vertical profile; NO2, PO4, N02/NO3, SI, quality Flags), DOC, CDOM, and dissolved oxygen isotopes. The Service National d'Analyse des Paramètres Océaniques du CO2, at the Université Pierre et Marie Curie, determined CT and AT potentiometrically. More than 200 vertical profiles of these properties were made across the world ocean. DOC, CDOM and dissolved oxygen isotopes are available only for the Arctic Ocean and Arctic Seas (2013).
    Keywords: [day] [water layer with no specific feature]; [RVSS]; 19-Butanoyloxyfucoxanthin; 19-Hexanoyloxyfucoxanthin; 6=below detection limit; 1=good sample (Picheral et al. 2014); Alloxanthin; Bacteriochlorophyll a; Basis of event; Bottle number; Campaign of event; Carotene; Chlorophyll a; Chlorophyll a, total; Chlorophyll b; Chlorophyll b + divinyl chlorophyll b; Chlorophyll c1+c2; Chlorophyll c3; Chlorophyllide a; Comment of event; Conductivity; Date/Time of event; Density, sigma-theta (0); DEPTH, water; derived from CTD, SEA-BIRD; Diadinoxanthin; Diatoxanthin; Divinyl chlorophyll a; Divinyl chlorophyll b; Event label; File name; Fondation Tara Expeditions; FondTara; Fucoxanthin; High Performance Liquid Chromatography (HPLC); Ilulissat to Québec, Stations: TARA_208-210; Latitude of event; Longitude of event; Lutein; Method/Device of event; Neoxanthin; Nitrate and Nitrite; Nitrite; Optional event label; Peridinin; Phaeophorbide a; Phaeophytin a; Phosphate; Prasinoxanthin; Pressure, water; Quality flag; Rosette Vertical Sampling System; Salinity; Silicate; Station label; SV Tara; TARA_20131020T1043Z_208_EVENT_CAST; TARA_20131020Z; Tara_Oceans_2009-2013; Tara Oceans Expedition; Temperature, water; Temperature, water, potential; URI of event; Violaxanthin; Zeaxanthin
    Type: Dataset
    Format: text/tab-separated-values, 420 data points
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  • 14
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    PANGAEA
    In:  Korea Institute of Geosciences and Mineral Resources
    Publication Date: 2024-04-27
    Keywords: Arctic Ocean; ARK-XXVIII/4 ALEX2014; AWI_Paleo; Basalt; Carbonates; Coarse fraction/modal analysis; DEPTH, sediment/rock; Foraminifera, agglutinated, species indeterminata; Foraminifera, benthic; Foraminifera, planktic; Heavy minerals; KAL; Kasten corer; Mica; Neogloboquadrina pachyderma dextral; Neogloboquadrina pachyderma sinistral; Ostracoda; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS87; PS87/023-1; Quartz/Feldspar ratio; Rock fragments; Sand; Sponge spiculae
    Type: Dataset
    Format: text/tab-separated-values, 1082 data points
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  • 15
    Publication Date: 2024-04-27
    Description: The Tara Oceans Expedition (2009-2013) was a global survey of ocean ecosystems aboard the Sailing Vessel Tara. It carried out extensive measurements of evironmental conditions and collected plankton (viruses, bacteria, protists and metazoans) for later analysis using modern sequencing and state-of-the-art imaging technologies. Tara Oceans Data are particularly suited to study the genetic, morphological and functional diversity of plankton. The present data set includes properties of seawater, particulate matter and dissolved matter that were measured from discrete water samples collected with Niskin bottles during the 2009-2013 Tara Oceans expedition. Properties include pigment concentrations from HPLC analysis (10 depths per vertical profile, 25 pigments per depth), the carbonate system (Surface and 400m; pH (total scale), CO2, pCO2, fCO2, HCO3, CO3, Total alkalinity, Total carbon, OmegaAragonite, OmegaCalcite, and dosage Flags), nutrients (10 depths per vertical profile; NO2, PO4, N02/NO3, SI, quality Flags), DOC, CDOM, and dissolved oxygen isotopes. The Service National d'Analyse des Paramètres Océaniques du CO2, at the Université Pierre et Marie Curie, determined CT and AT potentiometrically. More than 200 vertical profiles of these properties were made across the world ocean. DOC, CDOM and dissolved oxygen isotopes are available only for the Arctic Ocean and Arctic Seas (2013).
    Keywords: [day] [water layer with no specific feature]; [RVSS]; Basis of event; Bottle number; Campaign of event; Comment of event; Conductivity; Date/Time of event; Density, sigma-theta (0); DEPTH, water; derived from CTD, SEA-BIRD; Dudinka to Pevek, Stations: TARA_182-192; Event label; File name; Fondation Tara Expeditions; FondTara; Latitude of event; Longitude of event; Method/Device of event; Optional event label; Pressure, water; Rosette Vertical Sampling System; Salinity; Station label; SV Tara; TARA_20130801Z; TARA_20130901T0035Z_190_EVENT_CAST; Tara_Oceans_2009-2013; Tara Oceans Expedition; Temperature, water; Temperature, water, potential; URI of event
    Type: Dataset
    Format: text/tab-separated-values, 27 data points
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  • 16
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    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2024-04-27
    Keywords: Alveolophragmium polarensis; Ammodiscus catinus; Arctic Ocean; ARK-XXVIII/4 ALEX2014; AWI_Paleo; Capsammina sp.; Cribrostomoides subglobosum; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Foraminifera, benthic agglutinated indeterminata; Glomospira gordialis; Glomospira irregularis; Haplophragmoides sp.; Haplophragmoides sphaeriloculus; Hemisphaerammina sp.; Hyperammina rugosa; Jaculella sp.; KAL; Kasten corer; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Placopsilinella aurantiaca; Polarstern; PS87; PS87/030-1; Psammosphaera bowmanni; Psammosphaera fusca; Pseudonodosinella nodulosa; Recurvoides sp.; Reophax arcticus; Reophax bradyi; Reophax duplex; Reophax scorpiurus; Reticulophragmium pusillum; Rhabdammina; Trochammina lomonosovensis; Trochammina pseudoinflata; Trochammina quadriloba; Verrucina arctica
    Type: Dataset
    Format: text/tab-separated-values, 781 data points
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  • 17
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    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2024-04-27
    Keywords: Ammodiscus catinus; Arctic Ocean; ARK-XXVIII/4 ALEX2014; AWI_Paleo; Capsammina; Cribrostomoides subglobosum; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Foraminifera, benthic agglutinated indeterminata; Glomospira gordialis; Glomospira irregularis; Haplophragmoides sp.; Hemisphaerammina sp.; Hyperammina rugosa; KAL; Kasten corer; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Placopsilinella aurantiaca; Polarstern; PS87; PS87/079-1; Psammosphaera fusca; Pseudonodosinella nodulosa; Recurvoides sp.; Reophax sp.; Reticulophragmium pusillum; Rhabdammina sp.; Trochammina lomonosovensis; Verrucina arctica
    Type: Dataset
    Format: text/tab-separated-values, 820 data points
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  • 18
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    PANGAEA
    In:  Supplement to: Engel, Anja; Cisternas Novoa, Carolina; Wurst, Mascha; Endres, Sonja; Tang, Tiantian; Schartau, Markus; Lee, Cindy (2014): No detectable effect of CO2 on elemental stoichiometry of Emiliania huxleyi in nutrient-limited, acclimated continuous cultures. Marine Ecology Progress Series, 507, 15-30, https://doi.org/10.3354/meps10824
    Publication Date: 2024-04-27
    Description: Effects of CO2 concentration on elemental composition of the coccolithophore Emiliania huxleyi were studied in phosphorus-limited, continuous cultures that were acclimated to experimental conditions for 30 d prior to the first sampling. We determined phytoplankton and bacterial cell numbers, nutrients, particulate components like organic carbon (POC), inorganic carbon (PIC), nitrogen (PN), organic phosphorus (POP), transparent exopolymer particles (TEP), as well as dissolved organic carbon (DOC) and nitrogen (DON), in addition to carbonate system parameters at CO2 levels of 180, 380 and 750 µatm. No significant difference between treatments was observed for any of the measured variables during repeated sampling over a 14 d period. We considered several factors that might lead to these results, i.e. light, nutrients, carbon overconsumption and transient versus steady-state growth. We suggest that the absence of a clear CO2 effect during this study does not necessarily imply the absence of an effect in nature. Instead, the sensitivity of the cell towards environmental stressors such as CO2 may vary depending on whether growth conditions are transient or sufficiently stable to allow for optimal allocation of energy and resources. We tested this idea on previously published data sets where PIC and POC divided by the corresponding cell abundance of E. huxleyi at various pCO2 levels and growth rates were available.
    Keywords: Abundance per volume; Alkalinity, total; Alkalinity, total, standard deviation; Aragonite saturation state; Bicarbonate ion; BIOACID; Biological Impacts of Ocean Acidification; Biomass/Abundance/Elemental composition; Bottles or small containers/Aquaria (〈20 L); Calcite saturation state; Calcite saturation state, standard deviation; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbon, inorganic, particulate, per cell; Carbon, organic, dissolved, per cell; Carbon, organic, dissolved/Nitrogen, organic, dissolved ratio; Carbon, organic, particulate, per cell; Carbon, organic, particulate, standard deviation; Carbon, organic, particulate/Nitrogen, particulate ratio; Carbon, organic, particulate/Nitrogen, particulate ratio, standard deviation; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Carbon dioxide, partial pressure; Chlorophyll a, standard deviation; Chlorophyll a per cell; Chromista; Day of experiment; Emiliania huxleyi; Emiliania huxleyi, standard deviation; Figure; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Haptophyta; Laboratory experiment; Laboratory strains; Nitrogen, organic, dissolved, per cell; Nitrogen, particulate, per cell; Nitrogen, total, particulate/Phosphorus, organic, particulate, ratio; Nitrogen, total, particulate/Phosphorus, organic, particulate, ratio, standard deviation; Not applicable; OA-ICC; Ocean Acidification International Coordination Centre; Partial pressure of carbon dioxide, standard deviation; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Particulate inorganic carbon/particulate organic carbon ratio; Particulate inorganic carbon/particulate organic carbon ratio, standard deviation; Pelagos; pH; pH, standard deviation; Phosphorus, organic, particulate, per cell; Phytoplankton; Salinity; Single species; Species; Standard deviation; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 3723 data points
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  • 19
    Publication Date: 2024-04-27
    Keywords: Alkalinity, total; Aragonite saturation state; Arctic; Bacteria; Baffin_Bay; Bicarbonate ion; Bottles or small containers/Aquaria (〈20 L); Calcite saturation state; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Chlorophyll a; Community composition and diversity; Dimethyl sulfide; Dimethylsulfoniopropionate; Dimethylsulfoniopropionate, dissolved; Entire community; Experiment duration; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Group; Identification; Laboratory experiment; Light; MULT; Multiple investigations; Nanophytoplankton; Nitrate; Nitrite; Number of cells; OA-ICC; Ocean Acidification International Coordination Centre; Open ocean; Other metabolic rates; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Pelagos; pH; Phosphate; Picophytoplankton; Polar; Salinity; Silicate; Temperature, water; Time point, descriptive; Treatment; Type; Viral abundance
    Type: Dataset
    Format: text/tab-separated-values, 5805 data points
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  • 20
    Publication Date: 2024-04-27
    Keywords: Alkalinity, total; Aragonite saturation state; Bacteria; Bacterial production; Bicarbonate ion; Brackish waters; Calcite saturation state; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Chlorophyll a; Date; Dimethyl sulfide; Dimethylsulfoniopropionate; Entire community; Experiment day; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Growth/Morphology; Identification; Laboratory experiment; Mesocosm or benthocosm; Nanophytoplankton; Nitrate; North Atlantic; OA-ICC; Ocean Acidification International Coordination Centre; Other metabolic rates; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Pelagos; pH; Phosphate; Picocyanobacteria; Picoeukaryotes; Primary production/Photosynthesis; Primary production of carbon per day; Salinity; Silicate; Temperate; Temperature; Temperature, water; Type
    Type: Dataset
    Format: text/tab-separated-values, 6404 data points
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