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  • 1
    Publication Date: 2023-01-13
    Description: Non-methane hydrocarbons (NMHCs) are abundant volatile organic compounds in the atmosphere, their photodegradation produces reactive oxygen species which can react with NOx compounds and thus contribute to ozone formation. In marine surface waters, NMHCs are generally supersaturated relative to the atmosphere, thus marine emissions represent a significant source of NMHCs in the atmosphere.Seawater samples were collected monthly using a 5 L plexiglass water sampler from surface (〈1 m) and subsurface (~1 m above bottom) layers at 14 study sites in Jiaozhou Bay during September 2016 and August 2017.Seawater NMHCs concentrations were measured with a customized purge and trap preconcentration setup coupled to a gas chromatography-mass spectrometer.
    Keywords: Isoprene; Jiaozhou Bay; Non-methane Hydrocarbons; sea-to-air flux
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 2
    Publication Date: 2023-01-13
    Keywords: Alkanes, flux; Alkenes, flux; DATE/TIME; Ethane, flux; Ethene, flux; Gas chromatography-mass spectrometer (GC-MS, Agilent 7890N/5973N, USA); Isoprene; Isoprene, flux; Jiaozhou_Bay_2016-2017; Jiaozhou Bay; Non-methane Hydrocarbons; North China; Propane, flux; Propene, flux; sea-to-air flux; Water sample; Wind speed; WS
    Type: Dataset
    Format: text/tab-separated-values, 96 data points
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  • 3
    Publication Date: 2023-01-13
    Description: Seawater samples were collected monthly using a 5 L plexiglass water sampler from surface (〈1 m) and subsurface (~1 m above bottom) layers at 14 study sites in Jiaozhou Bay during September 2016 and August 2017. Seawater NMHCs concentrations were measured with a customized purge and trap preconcentration setup coupled to a gas chromatography-mass spectrometer.Jiaozhou_Bay_2016-2017.
    Keywords: Ammonium; Carbon, organic, dissolved; Chlorophyll a; CTD probe (SBE 38); DATE/TIME; Depth, description; Ethane; Ethene; Fluorescence spectrophotometer (Hitachi F-4500); Gas chromatography-mass spectrometer (GC-MS, Agilent 7890N/5973N, USA); Isoprene; Jiaozhou_Bay_2016-2017; Jiaozhou Bay; LATITUDE; LONGITUDE; Nitrate; Nitrite; Non-dispersive infrared gas analyzer (Shimadzu TOC-142 VCPH, Shimadzu Co., Japan); Non-methane Hydrocarbons; North China; Phosphate; Propane; Propene; Salinity; SEAL AA3 autoanalyzer; sea-to-air flux; Silicate; Station label; Temperature, water; Water sample; WS
    Type: Dataset
    Format: text/tab-separated-values, 4886 data points
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  • 4
    Publication Date: 2024-01-06
    Description: We investigated the seawater methanol abundance in the northwest Pacific Ocean (NWPO) area. Seawater samples were collected during May-June 2021 aboard the R/V “Dongfanghong 3” in the northwest Pacific Ocean. Seawater was sampled using a Seabird 911 CTD-Niskin rosette system equipped with conductivity, temperature and depth sensors. Methanol samples were collected directly without filters and then stored at -80℃ for laboratory analysis. Methanol concentrations were determined by a modified commercial purge and trap system combined with Agilent GC-8890 gas chromatograph with a flame ionization detector. This dataset includes two over 5000m depth profiles of methanol.
    Keywords: Agilent GC-8890 gas chromatograph with a flame ionization detector; air-sea exchange; CTD/Rosette; CTD-RO; DEPTH, water; Dong Fang Hong 3; Event label; Latitude of event; Longitude of event; methanol; Methanol; microbial metabolism; North Pacific Ocean; Northwest Pacific Integrated Research Cruise; Northwest Pacific Ocean; NWPIRC; NWPIRC_D2-1; NWPIRC_D2-2; NWPIRC_D6-1; NWPIRC_D6-2; source and sink
    Type: Dataset
    Format: text/tab-separated-values, 47 data points
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  • 5
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    Unknown
    PANGAEA
    In:  Supplement to: Fan, Bai Ling; Zhaoa, Zhi-Qi; Tao, Fa Xiang; Li, Xiao Dong; Tao, Zheng Hua; Gao, Shuang; He, Mao Yong (2016): The geochemical behavior of Mg isotopes in the Huanghe basin, China. Chemical Geology, 426, 19-27, https://doi.org/10.1016/j.chemgeo.2016.01.005
    Publication Date: 2024-02-16
    Description: The magnesium (Mg) isotopic composition of river waters is mainly controlled by riverine Mg sources and geochemical processes. It is meaningful to characterize Mg isotope behavior for us in understanding chemical weathering and other geochemical processes, such as secondary mineral formation linked to environmental conditions. The Huanghe basin was chosen to investigate the behavior of Mg isotopes during river erosion in temperate-semiarid and arid climate. Dissolved Mg shows a wide range of d26Mg values, ranging from - 1.53 per mil to - 0.11 per mil, with most values being close to - 1.09 per mil. By comparison, most of the suspended loads are enriched in heavy Mg isotope, with d26Mg values ranging from - 2.00 per mil to - 0.62 per mil, which is controlled by mineralogy. The Mg isotopic composition in the upstream is mainly determined by the mixture between carbonate and silicate sources. When the Huanghe flows through the Loess Plateau, the dissolved Mg decreased due to the dissolution of easily dissoluble phases in loess, such as MgCl2 or MgSO4. Carbonates weathering and evaporites dissolution are the major controlling factor of the evolution of Mg isotopic composition in dissolved phase, though evaporation-related precipitation of secondary carbonates also influences the dissolved Mg isotope composition in some tributaries. The strong relationships between d26Mg and pH, temperature, and d18O suggest that the Mg isotope system bears significant information about the hydrogeochemical characteristics and climate conditions of the Huanghe basin.
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 6
    Publication Date: 2024-01-06
    Description: We investigated the seawater methanol abundance, the dynamic of microbial methanol (MeOH) metabolism and the geochemical parameters in the northwest Pacific Ocean (NWPO) area. Seawater samples were collected during May-June 2021 aboard the R/V “Dongfanghong 3” in the northwest Pacific Ocean. Seawater was sampled using a Seabird 911 CTD-Niskin rosette system equipped with conductivity, temperature and depth sensors. Methanol samples were collected directly without filters and then stored at -80℃ for laboratory analysis. Methanol concentrations were determined by a modified commercial purge and trap system combined with Agilent GC-8890 gas chromatograph with a flame ionization detector. Microbial methanol assimilation and oxidation rates were determined by quantifying 14C-MeOH incorporation into biomass and oxidation to CO2 (Zhuang et al., 2018). Nutrients were measured using Seal Analytical Quaatro nutrient autoanalyzer except for ammonium which was analyzed by a fluorometric method on board (Ning et al., 2013). Chlorophyll-a was measured by fluorometric method (Parsons et al., 1984).
    Keywords: 14C radioactive tracer incubation (Zhuang et al., 2018); Agilent GC-8890 gas chromatograph with a flame ionization detector; air-sea exchange; Ammonium; Chlorophyll a; Continuous Segmented Flow Analyzer, SEAL Analytical, QuAAtro39; CTD, Sea-Bird, SBE 911; CTD/Rosette; CTD-RO; DATE/TIME; Depth, bathymetric; DEPTH, water; Dong Fang Hong 3; Event label; Fluorometric method (Ning et al., 2013); Fluorometric method (Parsons et al., 1984); LATITUDE; LONGITUDE; methanol; Methanol; Methanol, assimilation rate; Methanol, assimilation rate, standard deviation; Methanol, oxidation rate; Methanol, oxidation rate, standard deviation; Methanol, total uptake rate; Methanol, total uptake rate, standard deviation; microbial metabolism; Nitrate; Nitrite; North Pacific Ocean; Northwest Pacific Integrated Research Cruise; Northwest Pacific Ocean; NWPIRC; NWPIRC_D1; NWPIRC_D2-1; NWPIRC_D3; NWPIRC_D4; NWPIRC_D5; NWPIRC_D6-1; NWPIRC_E1; NWPIRC_E10; NWPIRC_E11; NWPIRC_E12; NWPIRC_E2; NWPIRC_E3; NWPIRC_E4; NWPIRC_E5; NWPIRC_E6; NWPIRC_E7; NWPIRC_E8; NWPIRC_E9; Phosphate; Salinity; Ships weather station; Site; source and sink; Temperature, water; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 248 data points
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  • 7
    Publication Date: 2024-03-20
    Description: Ocean acidification (OA) has been found to increase the release of free Cu2+ in seawater. However, only a handful of studies have investigated the influence of OA on Cu accumulation and cellular toxicity in bivalve species. In this study, Pacific oysters, Crassostrea gigas, were exposed to 25 μg/L Cu2+ at three pH levels (8.1, 7.8 and 7.6) for 14 and 28 days. Physiological and histopathological parameters [(clearance rate (CR), respiration rate (RR), histopathological damage and condition index (CI)), oxidative stress and neurotoxicity biomarkers [superoxide dismutase (SOD) and glutathione transferase (GST) activities, lipid peroxidation (LPO) and acetylcholinesterase (AChE) activity], combined with glycolytic enzyme activities [pyruvate kinase (PK) and hexokinase (HK)] were investigated in C. gigas. The bioconcentration of Cu was increased in soft tissues of Cu-exposed oysters under OA. Our results suggest that both OA and Cu could lead to physiological disturbance, oxidative stress, cellular damage, disturbance in energy metabolism and neurotoxicity in oysters. The inhibited CR, increased glycolytic enzymes activities and decreased CI suggested that the energy metabolism strategy adopted by oysters was not sustainable in the long term. Furthermore, integrated biomarker response (IBR) results found that OA and Cu exposure lead to severe stress to oysters, and co-exposure was the most stressful condition. Results from this study highlight the need to include OA in future environmental assessments of pollutants and hazardous materials to better elucidate the risks of those environmental perturbations.
    Keywords: Acetylcholinesterase activity, standard deviation; Acetylcholinesterase activity, unit per protein mass; Alkalinity, total; Alkalinity, total, standard deviation; Animalia; Aragonite saturation state; Aragonite saturation state, standard deviation; Behaviour; Benthic animals; Benthos; Bicarbonate ion; Calcite saturation state; Calcite saturation state, standard deviation; Calculated using CO2SYS; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, standard deviation; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Clearance rate; Clearance rate, standard deviation; Coast and continental shelf; Condition index; Condition index, standard deviation; Containers and aquaria (20-1000 L or 〈 1 m**2); Copper; Copper, standard deviation; Crassostrea gigas; Experiment day; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Glutathione S-transferase activity, standard deviation; Glutathione S-transferase activity, unit per protein mass; Hexokinase activity, per protein mass; Hexokinase activity, standard deviation; Inorganic toxins; Integrated biomarker response index; Laboratory experiment; Lipid peroxidation, per protein; Lipid peroxidation, standard deviation; Mollusca; North Pacific; OA-ICC; Ocean Acidification International Coordination Centre; Other metabolic rates; Other studied parameter or process; Partial pressure of carbon dioxide, standard deviation; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); pH; pH, standard deviation; Potentiometric; Potentiometric titration; Pyruvate kinase activity, per protein; Pyruvate kinase activity, standard deviation; Replicates; Respiration; Respiration rate, oxygen; Respiration rate, oxygen, standard deviation; Salinity; Salinity, standard deviation; Single species; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI); Superoxide dismutase activity, standard deviation; Superoxide dismutase activity, unit per protein mass; Temperate; Temperature, water; Temperature, water, standard deviation; Treatment; Type
    Type: Dataset
    Format: text/tab-separated-values, 732 data points
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  • 8
    Publication Date: 2024-04-20
    Description: We investigated the dynamic of methane (CH4) concentration, saturation, and sea-to-air flux in the typical near-shore (Yangtze River Estuary) and outer shelf (East China Sea) areas. We further determined the dynamic of aerobic methanotrophic activity employing in vitro radiotracer assay. The data presented here are beneficial to advancing our understanding for the methane cycle in the estuarine and shelf regions. Water samples were collected from the Yangtze River Estuary and East China Sea aboard the R/V “Runjiang 1 and Zheyuke 2”, “Xiangyang hong 18” during three expeditions in July and March-April 2021. Methane samples were collected directly using a 12 L Niskin bottle deployed on a Seabird 911 CTD rosette system, from which seawater temperature, salinity and depth were recorded. Methane samples in seawater were measured using a cryogenic purge-and-trap setup connected to an Agilent GC-8890 gas chromatograph with a flame ionization detector according to the detailed methods given in (Zhang et al., 2004). We used a radiotracer approach and added 3H-CH4 to seawater samples to determine the methan oxidation (MOx) rate by quantifying 3H-CH4 oxidation to 3H-H2O (Rogener et al., 2020).
    Keywords: A1-1; A1-3; A1-5; A1-7; A1-8; A2-1; A2-3; A2-5; A2-7; A2-8; A3-1; A3-3; A3-5; A3-7; A3-8; A4-1; A4-3; A4-5; A4-7; A4-8; A5-1; A5-2; A5-3; A5-4; A5-5; A5-6; A5-7; A5-8; A6-1; A6-2; A6-3; A6-4; A6-5; A6-6; A6-7; A6-8; A7-1; A7-3; A7-5; A7-7; A7-8; Agilent GC-8890 gas chromatograph with a flame ionization detector; Area/locality; B1; B2; B3; C1; C2; C3; C4; C5; CTD, Sea-Bird, SBE 911; CTD/Rosette; CTD-RO; DATE/TIME; Depth, bathymetric; DEPTH, water; East China Sea; Event label; LATITUDE; LONGITUDE; Methane; methane concentrations; Methane flux; methane oxidation; Methane oxidation rate; Radiotracer; RJ-1_2021; RJ-1_2021_A1-1; RJ-1_2021_A1-3; RJ-1_2021_A1-5; RJ-1_2021_A1-7; RJ-1_2021_A1-8; RJ-1_2021_A2-1; RJ-1_2021_A2-3; RJ-1_2021_A2-5; RJ-1_2021_A2-7; RJ-1_2021_A2-8; RJ-1_2021_A3-1; RJ-1_2021_A3-3; RJ-1_2021_A3-5; RJ-1_2021_A3-7; RJ-1_2021_A3-8; RJ-1_2021_A4-1; RJ-1_2021_A4-3; RJ-1_2021_A4-5; RJ-1_2021_A4-7; RJ-1_2021_A4-8; RJ-1_2021_A7-1; RJ-1_2021_A7-3; RJ-1_2021_A7-5; RJ-1_2021_A7-7; RJ-1_2021_A7-8; RJ-1_2021_B1; RJ-1_2021_B2; RJ-1_2021_B3; RJ-1_2021_C1; RJ-1_2021_C2; RJ-1_2021_C3; RJ-1_2021_C4; RJ-1_2021_C5; Runjiang 1; S02-1; S02-2; S02-3; S02-4; S02-5; S02-6; S02-7; S02-8; S03-1; S03-2; S03-3; S03-4; S03-5; S03-6; S04-1; S04-2; S04-3; S04-4; S04-5; S05-1; S05-2; S05-3; S05-4; S23-1; S23-2; S34-1; S34-2; Salinity; Station label; Temperature, water; Vessel; Xiangyang hong 18; XYH-18_2021; XYH-18_2021_S02-1; XYH-18_2021_S02-2; XYH-18_2021_S02-3; XYH-18_2021_S02-4; XYH-18_2021_S02-5; XYH-18_2021_S02-6; XYH-18_2021_S02-7; XYH-18_2021_S02-8; XYH-18_2021_S03-1; XYH-18_2021_S03-2; XYH-18_2021_S03-3; XYH-18_2021_S03-4; XYH-18_2021_S03-5; XYH-18_2021_S03-6; XYH-18_2021_S04-1; XYH-18_2021_S04-2; XYH-18_2021_S04-3; XYH-18_2021_S04-4; XYH-18_2021_S04-5; XYH-18_2021_S05-1; XYH-18_2021_S05-2; XYH-18_2021_S05-3; XYH-18_2021_S05-4; XYH-18_2021_S23-1; XYH-18_2021_S23-2; XYH-18_2021_S34-1; XYH-18_2021_S34-2; Yangtze River Estuary; Zheyuke 2; ZY-2_2021; ZY-2_2021_A5-1; ZY-2_2021_A5-2; ZY-2_2021_A5-3; ZY-2_2021_A5-4; ZY-2_2021_A5-5; ZY-2_2021_A5-6; ZY-2_2021_A5-7; ZY-2_2021_A5-8; ZY-2_2021_A6-1; ZY-2_2021_A6-2; ZY-2_2021_A6-3; ZY-2_2021_A6-4; ZY-2_2021_A6-5; ZY-2_2021_A6-6; ZY-2_2021_A6-7; ZY-2_2021_A6-8
    Type: Dataset
    Format: text/tab-separated-values, 585 data points
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  • 9
    Publication Date: 2024-04-20
    Description: We investigated the dynamic of methane concentration, saturation, and sea-to-air flux in the typical near-shore (Yangtze River Estuary) and outer shelf (East China Sea) areas. We further determined microbial methane production and the dynamic of aerobic methanotrophic activity employing in vitro radiotracer assay. The data presented here are beneficial to advancing our understanding for the methane cycle in the estuarine and shelf regions. This dataset includes the CH4 production during incubations with additions of methanogenic substrates in nearshore and offshore waters of the Yangtze River Estuary and East China Sea. Water samples of methane production experiments were collected from the Yangtze River Estuary and East China Sea aboard the R/V “Dongfang hong 3”and “Xiangyang hong 18” during two expeditions in December 2019 to January 2020 and May to June 2020. Seawater samples were collected directly using a 12 L Niskin bottle deployed on a Seabird 911 CTD rosette system, from which seawater temperature, salinity and depth were recorded. Methane production culture experiments were conducted in 125 mL acid-washed and sterilized serum vials filled with seawater and methane samples were measured using the headspace method. Each sample was shaken on a vortex mixer for 2 min to equilibrate the gas-liquid prior to gas extraction and 0.1-1 mL subsamples from the headspace were injected into GC-8890 using a gas-tight syringe.
    Keywords: CTD/Rosette; CTD-RO; DFH-3_2019-20; Dong Fang Hong 3; East China Sea; ECS_S2; ECS_S3; ECS_S4; methane concentrations; Methane flux; methane oxidation; P1; P5; S2; S3; S4; Xiangyang hong 18; XYH-18_2020; Yangtze River Estuary; YRE_P1; YRE_P5
    Type: Dataset
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet, 17.2 kBytes
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  • 10
    Electronic Resource
    Electronic Resource
    [S.l.] : American Institute of Physics (AIP)
    Journal of Applied Physics 77 (1995), S. 5982-5986 
    ISSN: 1089-7550
    Source: AIP Digital Archive
    Topics: Physics
    Notes: Micromorphology of ZnO varistors made with seed grains shows that there are two kinds of combinations of ZnO grains. Two different micromodels of ZnO varistors are put forward according to their micromorphology. The relation between ZnO grains' mean diameter and the amount of seed grains has been deduced from the micromodels. The relation between the electric field E1mA/cm2, nonlinear coefficient, and breakdown energy density of ZnO varistors and the amount of ZnO seed grains has been explained by means of micromodels. © 1995 American Institute of Physics.
    Type of Medium: Electronic Resource
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