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  • Data  (12)
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  • 1
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    Unknown
    PKDB4023 (2000)
    PANGAEA
    Details
    Publication Date: 2023-03-08
    Keywords: AGE; Age, comment; Age, maximum/old; Age, minimum/young; Latitude of event; Longitude of event; Paleoclimate Database of the Quaternary; Paleontological sampling; PALSAMP; PKDB; PKDB4023; Species; Specimen count
    Type: Dataset
    Format: text/tab-separated-values, 20 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 2
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    Thalassiosira weissflogii attachment assay and phylogenetic affiliation of bacterial isolates from samples of the German Wadden Sea
    PANGAEA
    In:  Supplement to: Gärdes, Astrid; Iversen, Morten Hvitfeldt; Grossart, Hans-Peter; Passow, Uta; Ullrich, Matthias S (2011): Diatom-associated bacteria are required for aggregation of Thalassiosira weissflogii. The ISME Journal, 5(3), 436-445, https://doi.org/10.1038/ismej.2010.145
    Details
    Publication Date: 2023-05-12
    Description: Aggregation of algae, mainly diatoms, is an important process in marine systems leading to the settling of particulate organic carbon predominantly in the form of marine snow. Exudation products of phytoplankton form transparent exopolymer particles (TEP), which acts as the glue for particle aggregation. Heterotrophic bacteria interacting with phytoplankton may influence TEP formation and phytoplankton aggregation. This bacterial impact has not been explored in detail. We hypothesized that bacteria attaching to Thalassiosira weissflogii might interact in a yet-to-be determined manner, which could impact TEP formation and aggregate abundance. The role of individual T. weissflogii-attaching and free-living new bacterial isolates for TEP production and diatom aggregation was investigated in vitro. T. weissflogii did not aggregate in axenic culture, and striking differences in aggregation dynamics and TEP abundance were observed when diatom cultures were inoculated with either diatom-attaching or free-living bacteria. The data indicated that free-living bacteria might not influence aggregation whereas bacteria attaching to diatom cells may increase aggregate formation. Interestingly, photosynthetically inactivated T. weissflogii cells did not aggregate regardless of the presence of bacteria. Comparison of aggregate formation, TEP production, aggregate sinking velocity and solid hydrated density revealed remarkable differences. Both, photosynthetically active T. weissflogii and specific diatom-attaching bacteria were required for aggregation. It was concluded that interactions between heterotrophic bacteria and diatoms increased aggregate formation and particle sinking and thus may enhance the efficiency of the biological pump.
    Keywords: Center for Marine Environmental Sciences; DIVER; German_Bight_1997-1999; German_Wadden_Sea_2000; German Bight, North Sea; German Bight Wadden Sea; German Wadden Sea; MARUM; PLA; Plankton net; Sampling by diver
    Type: Dataset
    Format: application/zip, 4 datasets
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    DATA PANGAEA
  • 3
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    (Table 1) Thalassiosira weissflogii attachment assay
    PANGAEA
    Details
    Publication Date: 2023-05-12
    Keywords: Bacterial abundance in colony forming units; Center for Marine Environmental Sciences; German_Wadden_Sea_2000; German Bight Wadden Sea; German Wadden Sea; MARUM; PLA; Plankton net; see reference(s); Time coverage
    Type: Dataset
    Format: text/tab-separated-values, 28 data points
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    DATA PANGAEA
  • 4
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    (Supplementary Table 1) Phylogenetic affiliation of particle-associated bacterial isolates
    PANGAEA
    Details
    Publication Date: 2023-05-12
    Keywords: Best match; Center for Marine Environmental Sciences; German_Wadden_Sea_2000; German Bight Wadden Sea; German Wadden Sea; MARUM; PLA; Plankton net; see reference(s); Similarity; Strain
    Type: Dataset
    Format: text/tab-separated-values, 99 data points
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  • 5
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    (Supplementary Table 2) Phylogenetic affiliation of bacterial strains isolated from Halichondria panacea
    PANGAEA
    Details
    Publication Date: 2023-05-12
    Keywords: Best match; Center for Marine Environmental Sciences; DIVER; German_Bight_1997-1999; German Bight, North Sea; MARUM; Sampling by diver; see reference(s); Similarity; Strain
    Type: Dataset
    Format: text/tab-separated-values, 93 data points
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    DATA PANGAEA
  • 6
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    (Supplementary Table 3) Phylogenetic affiliation of particle-associated bacterial isolates
    PANGAEA
    Details
    Publication Date: 2023-05-12
    Keywords: Center for Marine Environmental Sciences; German_Wadden_Sea_2000; German Bight Wadden Sea; German Wadden Sea; Group; MARUM; PLA; Plankton net; Sample code/label; see reference(s); Strain
    Type: Dataset
    Format: text/tab-separated-values, 63 data points
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    DATA PANGAEA
  • 7
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    Permafrost longterm monitoring sites (Arctic and Antarctic) (2014)
    PANGAEA
    In:  Supplement to: Bartsch, Annett; Allard, Michel; Biskaborn, Boris K; Burba, George; Christiansen, Hanne Hvidtfeldt; Duguay, Claude R; Grosse, Guido; Günther, Frank; Heim, Birgit; Högström, Elin; Kääb, Andreas; Keuper, Frida; Lanckman, Jean-Pierre; Lantuit, Hugues; Lauknes, Tom Rune; Leibman, Marina O; Liu, Lin; Morgenstern, Anne; Necsoiu, Marius; Overduin, Pier Paul; Pope, Allen; Sachs, Torsten; Séjourné, Antoine; Streletskiy, Dmitry A; Strozzi, Tazio; Ullmann, Tobias; Ullrich, Matthias S; Vieira, Gonçalo; Widhalm, Barbara (2014): Requirements for monitoring of permafrost in polar regions - A community white paper in response to the WMO Polar Space Task Group (PSTG), Version 4, 2014-10-09. Austrian Polar Research Institute, Vienna, Austria, 20 pp, hdl:10013/epic.45648.d001
    Details
    Publication Date: 2023-11-16
    Description: About 50 locations ('cold spots') where permafrost (Arctic and Antarctic) in situ monitoring has been taking place for many years or where field stations are currently established (through, for example the Canadian ADAPT program) have been identified. These sites have been proposed to WMO Polar Space Task Group as focus areas for future monitoring by satellite data. Seven monitoring transects spanning different permafrost types have been proposed in addition.
    Keywords: Changing Permafrost in the Arctic and its Global Effects in the 21st Century; Country; Elevation, maximum; Elevation, mean; Elevation, minimum; File name; Identification; LATITUDE; Latitude 2; LONGITUDE; Longitude 2; PAGE21; Permafrost; Persistent Identifier; Site
    Type: Dataset
    Format: text/tab-separated-values, 572 data points
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  • 8
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    Hydrochemistry measured on water bottle samples during SONNE cruise SO120 (2013)
    PANGAEA
    Details
    Publication Date: 2024-02-01
    Keywords: Ammonium; Bacteria; Bacteria, biomass as carbon; Carbon, inorganic, dissolved; Carbon, organic, particulate; Carbon/nitrogen analyser (GF/F filtered); Carbon biomass estimation (unspec.); Chlorophyll a; Chlorophyll a, fluorometric determination (Grasshoff et al., 1983, Chemie GmbH); Conductivity; Continuous Flow Automated Analysis (Gordon et al., 1993, WOCE Tech Rpt 93-1); Coulometric titration (Knap et al., 1996, IOC Manuals and Guides 29, UNESCO); Counting by flow cytometer; CTD, Neil Brown, Mark III B, NB-4; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; Epifluorescence microscopy; Epifluorescence microscopy after acridine orange staining; Eukaryotes; Event label; Fluorescence, chlorophyll; JGOFS; JGOFS-IN-3; Joint Global Ocean Flux Study; Latitude of event; Leucine uptake rate; Longitude of event; Nanoflagellates, heterotrophic; Nitrate; Nitrite; Nitrogen, organic, particulate; Oxidation; then autoanalysis (GF/F filtered); Oxidation (alkaline) with borate buffered potassium persulphate; Oxygen; Oxygen, Winkler (Culberson, 1991, WOCE Report 68/91); Phosphate; Phosphorus, particulate; Pressure, water; Salinity; Seawater analysis after Grasshoff et al., 1983 (Verlag Chemie GmbH Weinheim); Silicate; Silicon, particulate; SO120; SO120_CTD02_002; SO120_CTD03_003; SO120_CTD04_004; SO120_CTD05_005; SO120_CTD06_006; SO120_CTD07_007; SO120_CTD08_008; SO120_CTD09_009; SO120_CTD10_010; SO120_CTD11_011; SO120_CTD12_012; SO120_CTD13_013; SO120_CTD14_014; SO120_CTD15_016; SO120_CTD15_017; SO120_CTD15_019; SO120_CTD16_023; SO120_CTD17_024; SO120_CTD18_027; SO120_CTD18_029; SO120_CTD19_030; SO120_CTD20_033; SO120_CTD20_034; SO120_CTD21_037; SO120_CTD21_038; SO120_CTD22_040; SO120_CTD23_042; SO120_CTD23_043; SO120_CTD24_046; SO120_CTD24_047; SO120_CTD25_050; SO120_CTD25_051; SO120_CTD25_053; SO120_CTD25_054; SO120_CTD28_055; SO120_CTD28_056; SO120_CTD28_057; SO120_CTD31_058; SO120_CTD31_059; SO120_CTD31_060; SO120_CTD34_062; SO120_CTD34_063; SO120_CTD38_066; SO120_CTD39_068; SO120_CTD39_069; SO120_CTD41_071; SO120_CTD41_072; SO120_CTD43_074; SO120_CTD43_075; Sonne; Temperature, water; Thymidine incorporation; Thymidine uptake rate; Tritiated leucine incorporation (Knap et al., 1996, IOC Manuals and Guides 29)
    Type: Dataset
    Format: text/tab-separated-values, 11513 data points
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  • 9
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    Hydrochemistry and biological data measured on water bottle samples during METEOR cruise M10/2 (2002)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Keywords: Ammonium; Bacteria; Bacteria, biomass as carbon; Calculated; Carbon, organic, particulate; Carbon/nitrogen analyser (GF/F filtered); Carbon biomass estimation (unspec.); Chlorophyll a; Chlorophyll a, fluorometric determination (Grasshoff et al., 1983, Chemie GmbH); Coccolithophoridae, biomass as carbon; Colorometric analysis, manual; Continuous Flow Automated Analysis (Gordon et al., 1993, WOCE Tech Rpt 93-1); CTD; CTD/Rosette; CTD-RO; Cyanobacteria; Cyanobacteria, biomass as carbon; Date/Time of event; Density, sigma-theta (0); DEPTH, water; Diatoms, biomass as carbon; Dinoflagellates, biomass as carbon; Elevation of event; Epifluorescence microscopy; Event label; Flagellates, heterotrophic and autotrophic, biomass as carbon; JGOFS; Joint Global Ocean Flux Study; Latitude of event; Longitude of event; M10/2; M10/2-CTD-427_224; M10/2-CTD-430_225; M10/2-CTD-432_226; M10/2-CTD-435_227; M10/2-CTD-435_228; M10/2-CTD-435_229; M10/2-CTD-435_230; M10/2-CTD-435_231; M10/2-CTD-435_232; M10/2-CTD-436_233; M10/2-CTD-437_234; M10/2-CTD-437_235; M10/2-CTD-437_236; M10/2-CTD-438_237; M10/2-CTD-440_239; M10/2-CTD-443_240; M10/2-CTD-445_242; M10/2-CTD-448_243; M10/2-CTD-450_244; M10/2-CTD-453_245; M10/2-CTD-455_246; M10/2-CTD-455_247; M10/2-CTD-455_248; M10/2-CTD-458_249; M10/2-CTD-460_250; M10/2-CTD-460_251; M10/2-CTD-463_252; M10/2-CTD-465_253; M10/2-CTD-465_254; M10/2-CTD-465_255; M10/2-CTD-468_256; M10/2-CTD-470_257; M10/2-CTD-470_258; M10/2-CTD-473_259; M10/2-CTD-473_513; M10/2-CTD-475_261; M10/2-CTD-475_262; M10/2-CTD-478_263; M10/2-CTD-480_264; M10/2-CTD-480_265; M10/2-CTD-480_266; M10/2-CTD-483_267; M10/2-CTD-484_268; M10/2-CTD-485_269; M10/2-CTD-485_270; M10/2-CTD-488_271; M10/2-CTD-490_272; M10/2-CTD-490_273; M10/2-CTD-490_274; M10/2-CTD-493_275; M10/2-CTD-495_276; M10/2-CTD-495_277; M10/2-CTD-499_278; M10/2-CTD-499_279; M10/2-CTD-500_280; M10/2-CTD-501_281; M10/2-CTD-502_282; M10/2-CTD-503_283; M10/2-CTD-504_284; M10/2-CTD-505_285; M10/2-CTD-506_286; M10/2-CTD-507_287; M10/2-CTD-518_288; M10/2-CTD-519_289; M10/2-CTD-550_290; M10/2-CTD-551_291; M10/2-CTD-552_292; M10/2-CTD-553_293; M10/2-CTD-554_294; M10/2-CTD-555_295; M10/2-CTD-556_296; M10/2-CTD-557_297; M10/2-CTD-558_298; M10/2-CTD-559_299; M10/2-CTD-560_300; M10/2-CTD-561_301; M10/2-CTD-562_302; M10/2-CTD-563_303; M10/2-CTD-564_304; M10/2-CTD-564_305; M10/2-CTD-567_306; M10/2-CTD-569_307; M10/2-CTD-569_308; M10/2-CTD-569_309; M10/2-CTD-572_310; M10/2-CTD-574_311; M10/2-CTD-575_312; M10/2-CTD-576_313; M10/2-CTD-579_314; M10/2-CTD-581_319; M10/2-CTD-581_320; M10/2-CTD-584_321; M10/2-CTD-586_324; M10/2-CTD-586_325; M10/2-CTD-589_326; M10/2-CTD-591_327; M10/2-CTD-591_331; M10/2-CTD-591_333; M10/2-CTD-594_334; M10/2-CTD-596_335; M10/2-CTD-596_338; M10/2-CTD-596_341; M10/2-CTD-599_342; M10/2-CTD-601_343; M10/2-CTD-601_344; M10/2-CTD-601_345; M10/2-CTD-604_346; M10/2-CTD-606_347; M10/2-CTD-606_348; M10/2-CTD-609_349; M10/2-CTD-611_350; M10/2-CTD-611_351; M10/2-CTD-611_352; M10/2-CTD-614_353; M10/2-CTD-616_354; M10/2-CTD-616_355; M10/2-CTD-624_361; Meteor (1986); NABE; Nitrate and Nitrite; Nitrite; Nitrogen, organic, particulate; North Atlantic Bloom Experiment, 1989-1991; Oxidation (alkaline) with borate buffered potassium persulphate; Oxygen; Oxygen, Winkler (Culberson, 1991, WOCE Report 68/91); Phosphate; Pressure, water; Salinity; Silicate; Silicoflagellates, biomass as carbon; Silicon, particulate; Temperature, water; Thymidine incorporation; Thymidine uptake rate
    Type: Dataset
    Format: text/tab-separated-values, 11166 data points
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  • 10
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    Flood event and catchment characteristics in Germany and Austria (2021)
    GFZ Data Services
    Details
    Publication Date: 2022-06-15
    Description: Abstract
    Description: The dataset comprises a range of variables describing characteristics of flood events and river catchments for 480 gauging stations in Germany and Austria. The event characteristics are asscoiated with annual maximum flood events in the period from 1951 to 2010. They include variables on event precipitation, antecedent catchment state, event catchment response, event timing, and event types. The catchment characteristics include variables on catchment area, catchment wetness, tail heaviness of rainfall, nonlinearity of catchment response, and synchronicity of precipitation and catchment state. The variables were compiled as potential predictors of heavy tail behaviour of flood peak distributions. They are based on gauge observations of discharge, E-OBS meteorological data (Haylock et al. 2008), mHM hydrological model simulations (Samaniego et al., 2010), 4DAS climate reanalysis data (Primo et al., 2019), and the 25x25 m resolution EU-DEM v1.1. A short description of the data processing is included in the file inventory and more details can be found in Macdonald et al. (202x) (Citation of article “Event and Catchment Controls of Heavy Tail Behavior of Floods” when available).
    Keywords: flood event-causing precipitation ; pre-event moisture state ; catchment response ; flood event types ; catchment characteristics ; climate 〉 meteorological phenomenon 〉 atmospheric precipitation ; EARTH SCIENCE 〉 ATMOSPHERE 〉 PRECIPITATION 〉 PRECIPITATION AMOUNT ; EARTH SCIENCE 〉 LAND SURFACE 〉 SOILS 〉 SOIL MOISTURE/WATER CONTENT ; EARTH SCIENCE 〉 TERRESTRIAL HYDROSPHERE 〉 SURFACE WATER 〉 FLOODS ; EARTH SCIENCE 〉 TERRESTRIAL HYDROSPHERE 〉 SURFACE WATER 〉 RIVERS/STREAMS ; EARTH SCIENCE 〉 TERRESTRIAL HYDROSPHERE 〉 SURFACE WATER 〉 WATERSHED CHARACTERISTICS ; hydrosphere 〉 hydrologic cycle 〉 flood 〉 flood runoff ; hydrosphere 〉 water (geographic) 〉 surface water 〉 freshwater 〉 rain water ; pedosphere 〉 soil 〉 soil water 〉 soil moisture ; science 〉 natural science 〉 atmospheric science 〉 meteorology 〉 hydrometeorology
    Type: Dataset , Dataset
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    DATA GFZ
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