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  • 1
    Publication Date: 2021-03-29
    Description: Background: In aerodynamic levitation, solids and liquids are floated in a vertical gas stream. In combination with CO2-laser heating, containerless melting at high temperature of oxides and silicates is possible. We apply aerodynamic levitation to bulk rocks in preparation for microchemical analyses, and for evaporation and reduction experiments. Results: Liquid silicate droplets (~2 mm) were maintained stable in levitation using a nozzle with a 0.8 mm bore and an opening angle of 60°. The gas flow was ~250 ml min-1. Rock powders were melted and homogenized for microchemcial analyses. Laser melting produced chemically homogeneous glass spheres. Only highly (e.g. H2O) and moderately volatile components (Na, K) were partially lost. The composition of evaporated materials was determined by directly combining levitation and inductively coupled plasma mass spectrometry. It is shown that the evaporated material is composed of Na 〉 K 〉〉 Si. Levitation of metal oxide-rich material in a mixture of H2 and Ar resulted in the exsolution of liquid metal. Conclusions: Levitation melting is a rapid technique or for the preparation of bulk rock powders for major, minor and trace element analysis. With exception of moderately volatile elements Na and K, bulk rock analyses can be performed with an uncertainty of ± 5% relative. The technique has great potential for the quantitative determination of evaporated materials from silicate melts. Reduction of oxides to metal is a means for the extraction and analysis of siderophile elements from silicates and can be used to better understand the origin of chondritic metal.
    Keywords: aerodynamic levitation apparatus; Earth sciences ; 551
    Language: English
    Type: article , publishedVersion
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  • 2
    Publication Date: 2023-11-15
    Description: Four lake-bed sediment samples were collected in the Lucerne Bay of Lake Lucerne to study their lithological properties. The dataset provides the location of the samples, total carbon content (TC), total organic carbon content (TOC), total inorganic carbon content (TIC), total nitrogen content (TN), molar ratio of carbon to nitrogen and the mean grain-size (D50) analyzed with a Malvern Mastersizer 3000 particle size analyzer.
    Keywords: Carbon, inorganic, total; Carbon, organic, total; Carbon, total; Carbon/Nitrogen ratio; Event label; Grain size, Mastersizer 3000, Malvern Instrument Inc.; Lake Lucerne, Switzerland; Latitude of event; Longitude of event; LS_1; LS_2; LS_3; LS_4; Nitrogen, total; Particle size, mean; Sulfur
    Type: Dataset
    Format: text/tab-separated-values, 28 data points
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  • 3
    Publication Date: 2023-11-15
    Description: Results of particle size analysis of the siliciclastic fraction of an event deposit. Samples were taken from sediment core LU18-2 at depths ranging from 37.5 to 101.5 cm at 1 cm intervals. Grain size measurements were made using a Malvern Mastersizer 3000 particle size analyzer.
    Keywords: Clay; Depth, composite; Grain size, Mastersizer 3000, Malvern Instrument Inc.; Grain size, mean; Lake Lucerne, Switzerland; LU18_2; Median, grain size; Mode, grain size; MULT; Multiple investigations; Percentile 10; Percentile 20; Percentile 50; Percentile 80; Percentile 90; Sample code/label; Size fraction 0.008-0.004 mm, 7.0-8.0 phi, fine silt; Size fraction 0.016-0.008 mm, 6.0-7.0 phi, medium silt; Size fraction 0.032-0.016 mm, 5.0-6.0 phi, coarse silt; 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; Skewness; Span, grain size
    Type: Dataset
    Format: text/tab-separated-values, 1235 data points
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  • 4
    Publication Date: 2024-01-04
    Description: Processed core logging data of core LU18-1 analyzed with a Geotek multi-sensor core logger (MSCL) at the Institute of Geological Sciences, University of Bern. The dataset includes core ID, composite core depth, core thickness, P-wave velocity, density, and magnetic susceptibility.
    Keywords: Core; Density, mass density; Depth, composite; Event label; Lake Lucerne, Switzerland; Latitude of event; Longitude of event; LU18_1; LU18_2; LU18_3; Magnetic susceptibility; MULT; Multiple investigations; Multi-Sensor Core Logger (MSCL), GEOTEK; Thickness; Velocity, compressional wave
    Type: Dataset
    Format: text/tab-separated-values, 10026 data points
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  • 5
    Publication Date: 2024-03-01
    Description: Results of the XRF core scanning of sediment core LU18-2. Measurements were performed using an ITRAX-XRF core scanner (Cox Ltd., Sweden) equipped with a Cr-tube set to 30 kV and 50 mA at the Institute of Geological Sciences, University of Bern.
    Keywords: Aluminium; Antimony; Argon; Barium; Bismuth; Calcium; Chlorine; Chromium/coherent radiation; Chromium/incoherent radiation; Copper; Core; Depth, composite; Dysprosium; Erbium; Gadolinium; Hafnium; Holmium; Iron; Lake Lucerne, Switzerland; Lanthanum; Lead; LU18_2; Lutetium; Magnesium; Manganese; Molybdenum; MULT; Multiple investigations; Neodymium; Nickel; Osmium; Phosphorus; Potassium; Praseodymium; Rubidium; Samarium; Silicon; Strontium; Sulfur; Terbium; Thulium; Tin; Titanium; Vanadium; X-ray fluorescence ITRAX core scanner; Yttrium; Zinc; Zirconium
    Type: Dataset
    Format: text/tab-separated-values, 40936 data points
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  • 6
    Publication Date: 2024-04-20
    Description: The project "Lake Tsunamis: Causes, Controls, and Hazard (Characterization of subaqueous unstable slopes with geophysical and geotechnical measurements.)" was initiated to understand their governing mechanisms of genesis, propagation, frequency, and the related hazard within an interdisciplinary context. Swiss lakes served as a laboratory for this holistic approach. The project was divided into five work packages (WP), where WP1 comprised a large number of geophysical (using amongst other techniques ocean bottom seismometers (OBS)) and geotechnical measurements to characterize the structure and stability of potentially unstable subaqueous lake slopes. To evaluate the potential and applicability of ambient vibration techniques in a shallow-water offshore environment, multiple single-station and array OBS measurements were performed on subaqueous slopes in Lake Lucerne. Eight DEPAS Lobster type broadband OBS from the German Instrument Pool for Amphibian Seismology (DEPAS) and one Nammu type OBS from ETH Zürich were successfully deployed and recovered at more than 170 distinct locations in 2018-2020. In 2020-2023 the single Nammu OBS was deployed several times for supplemental measurements. Surveys with an airgun of 1-inch³ volume were used on top of the deployment locations to determine the misorientation of the horizontal components. In addition, multibeam bathymetric surveys were performed to locate the positions of the OBS on the lake floor with high accuracy. A workflow for passive seismic investigations with OBS in such shallow-water settings was developed. The seismic response and its variability at the measured sites in terms of amplification functions during earthquakes and resonance frequencies was determined. Shear-wave velocity profiles at different morphological types of slopes down to a depth of 100-150 m below the lake floor were resolved and interpreted. Combining geophysical and geotechnical measurements and interpretation, static and dynamic slope-stability analyses were performed. Thresholds for the subaqueous slope-failure triggering in terms of earthquake magnitude and epicentral distance, macroseismic intensity, and ground-motion intensity measures were derived using earthquake ground-motion modelling.
    Keywords: Binary Object; Clock skew; Code; Comment; Date/time end; Date/time start; ELEVATION; Event label; Hydrophone, serial number; Hydrophone gain; Hydrophone polarity; Hydrophone type; Lake Lucerne, Switzerland; LATITUDE; LONGITUDE; OBS; Ocean bottom seismometer; Principal investigator; Project; Recorder, serial number; Recorder type; Sampling rate; Seismometer, serial number; Seismometer gain; Seismometer type; Station label; XJ_CHA01; XJ_CHA02; XJ_CHA03; XJ_CHA04; XJ_CHA05; XJ_CHA06; XJ_CHA07; XJ_CHA08; XJ_CHA09; XJ_CHB01; XJ_CHB02; XJ_CHB03; XJ_CHB04; XJ_CHB05; XJ_CHB06; XJ_CHB07; XJ_CHB08; XJ_CHB09; XJ_CHC01; XJ_CHC02; XJ_CHC03; XJ_CHC04; XJ_CHC05; XJ_CHC06; XJ_CHC07; XJ_CHC08; XJ_CHC09; XJ_CHS01; XJ_CHS02; XJ_CHS03; XJ_CIA01; XJ_CIA02; XJ_CIA03; XJ_CIA04; XJ_CIA05; XJ_CIA06; XJ_CIA07; XJ_CIA08; XJ_CIA09; XJ_CIS01; XJ_CIS02; XJ_ENA01; XJ_ENA02; XJ_ENA03; XJ_ENA04; XJ_ENA05; XJ_ENA06; XJ_ENA07; XJ_ENA08; XJ_ENA09; XJ_ENB01; XJ_ENB02; XJ_ENB03; XJ_ENB04; XJ_ENB05; XJ_ENB06; XJ_ENB07; XJ_ENB08; XJ_ENB09; XJ_ENS01; XJ_ENS02; XJ_ENS03; XJ_ENS04; XJ_ENS05; XJ_ENS06; XJ_ENS07; XJ_FLS01; XJ_FLS02; XJ_HOS01; XJ_KEA01; XJ_KEA02; XJ_KEA03; XJ_KEA04; XJ_KEA05; XJ_KEA06; XJ_KEA07; XJ_KEA08; XJ_KEA09; XJ_KEB01; XJ_KEB02; XJ_KEB03; XJ_KEB04; XJ_KEB05; XJ_KEB06; XJ_KEB07; XJ_KEB08; XJ_KEB09; XJ_KES01; XJ_KES02; XJ_LUS01; XJ_MUA02; XJ_MUA03; XJ_MUA04; XJ_MUA05; XJ_MUA06; XJ_MUA07; XJ_MUA08; XJ_MUA09; XJ_MUS01; XJ_MUS02; XJ_NAA01; XJ_NAA02; XJ_NAA03; XJ_NAA04; XJ_NAA05; XJ_NAA06; XJ_NAA07; XJ_NAA08; XJ_NAA09; XJ_NAS01; XJ_NAS02; XJ_NIA01; XJ_NIA02; XJ_NIA03; XJ_NIA04; XJ_NIA05; XJ_NIA06; XJ_NIA07; XJ_NIA08; XJ_NIA09; XJ_NIB01; XJ_NIB02; XJ_NIB03; XJ_NIB04; XJ_NIB05; XJ_NIB06; XJ_NIB07; XJ_NIB08; XJ_NIB09; XJ_NIC01; XJ_NIC02; XJ_NIC03; XJ_NIC04; XJ_NIC05; XJ_NIC06; XJ_NIC07; XJ_NIC08; XJ_NIC09; XJ_NIS01; XJ_NIS02; XJ_NIS03; XJ_NIS04; XJ_WEA01; XJ_WEA02; XJ_WEA03; XJ_WEA04; XJ_WEA05; XJ_WEA06; XJ_WEA07; XJ_WEA08; XJ_WEA09; XJ_WEB01; XJ_WEB02; XJ_WEB03; XJ_WEB04; XJ_WEB05; XJ_WEB06; XJ_WEB07; XJ_WEB08; XJ_WEB09; XJ_WEC01; XJ_WEC02; XJ_WEC03; XJ_WEC04; XJ_WEC05; XJ_WEC06; XJ_WEC07; XJ_WEC08; XJ_WEC09; XJ_WED01; XJ_WED02; XJ_WED03; XJ_WED04; XJ_WED05; XJ_WED06; XJ_WED07; XJ_WED08; XJ_WED09; XJ_WES01; XJ_WES02; XJ_WES03
    Type: Dataset
    Format: text/tab-separated-values, 4199 data points
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  • 7
    Publication Date: 2024-04-20
    Description: This dataset provides the interpolated bathymetry of Lake Lucerne used for the numerical wave propagation simulation performed in the study “Shallow-Water Tsunami Deposits: Evidence from Sediment Cores and Numerical Wave Propagation of the 1601 CE Lake Lucerne” by Nigg et al. (in review). The multibeam echo-sounder bathymetry dataset of Lake Lucerne acquired by Hibe et al. (2011) was resampled from a grid size of 1x1 m to 5x5 m to reduce computational time using ArcMap (version 10.8.1). In addition, large artificial shoreline modifications were cropped and interpolated based on historical maps. Shallow-water areas (water depth 0-4m), which are not entirely covered by the bathymetrical data were linearly interpolated to the shoreline. The original bathymetry was acquired using a Geo-Acoustics GeoSwath Plus 125 kHz interferometer by Hilbe et al. (2011). Positioning was acquired with a Leica SR 530 GPS receiver with real time kinematic positioning (RTK; swipos GIS/GEO from swisstopo). Acquisition control and data processing were conducted using the GeoAcoustics GS+ software package. Swiss basic hydrological monitoring network (BAFU, 2008) were used to normalize water depths to the mean lake level (433.6 m a.s.l.). See Hilbe et al. (2011) for further information. The original bathymetry dataset is available from swisstopo and should be referenced as Hilbe, M., Anselmetti, F. S., Eilertsen, R. S., Hansen, L., & Wildi, W. (2011). Subaqueous morphology of Lake Lucerne (Central Switzerland): implications for mass movements and glacial history. Swiss Journal of Geosciences, 104(3), 425-443.
    Keywords: Area; Binary Object; Binary Object (File Size); Binary Object (Media Type); Elevation, maximum; Elevation, minimum; File content; Horizontal datum; Lake Lucerne, Switzerland; Latitude, northbound; Latitude, southbound; Longitude, eastbound; Longitude, westbound; LU_Bathymetry; MULT; Multiple investigations; Raster cell size; Vertical datum
    Type: Dataset
    Format: text/tab-separated-values, 12 data points
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  • 8
    Publication Date: 2024-04-20
    Description: This datasets includes sediment core scan data (MSCL, XRF), sediment subsample measurements (particle size measurements with a Malvern Mastersizer Laser diffraction analyzer (LDA and Carbon, Nitrogen, and Sulfur (CNS) measurements), lake surface samples (CNS and mean particle size of LDA measurements) from the Lucerne Bay, Lake Lucerne, Switzerland and key wave parameters obtained from virtual gauges of numerical wave propagation with BASEMENT. This datasets has been carried out within the SNSF Singergia project" Lake Tsunami: Causes, Controls, and Hazard".
    Type: Dataset
    Format: application/zip, 6 datasets
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  • 9
    Publication Date: 2024-04-20
    Description: For the sensitivity analysis of our numerical simulation, 6 different scenarios (LS-1 to LS6) with different bed-roughness values were calculated. This dataset contains the wave parameters observed at virtual gauge 2.
    Keywords: Binary Object; Binary Object (File Size); Binary Object (Media Type); Computational simulation; Event label; Lake Lucerne, Switzerland; Latitude of event; Longitude of event; SIMUL; VG_LU_1; VG_LU_2; VG_LU_3
    Type: Dataset
    Format: text/tab-separated-values, 3 data points
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  • 10
    Publication Date: 2010-09-27
    Electronic ISSN: 1467-4866
    Topics: Chemistry and Pharmacology , Geosciences
    Published by BioMed Central
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