131 documents found in 444ms
# 11
Codeço, Marta S. • Weis, Philipp • Trumbull, Robert B. • van Hinsberg, Vincent • Pinto, Filipe • (et. al.)
Abstract: Geochemistry is one of the most important tools for exploring and understanding mineral resources. Typically, hydrothermal ore deposits are characterized by primary alteration halos. At Panasqueira, the hydrothermal alteration forms a variably thick alteration halo, characterized by a strong tourmalinization (± muscovitization) of the wall rocks enclosing the mineralized veins. Tourmaline and mica are ubiquitous minerals at the world-class Panasqueira W-Sn-Cu deposit and coexist in many others hydrothermal ore deposits worldwide. Both minerals are well-known to host variable amounts of trace elements and therefore suitable was tracers for fluid source and composition. Major, minor and trace elements of the altered and unaltered metasediments from Panasqueira area were analysed by XRF and ICP-MS. We further analyzed tourmaline and white mica major, minor and trace elements compositions by laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) in previously well-characterized samples from different locations/setting in the mine (greisen, vein-selvages, wall-rock alteration zones, fault zone and late-vugs). Detailed information about the the samples used, the location and general geological background of the samples and the analytical methods are provided in the data description file (2019-001_Codeco-et-al_data-description.pdf).
Panasqueira is a world-class W-Sn-Cu lode-type deposit located in Castelo Branco district (Beira Baixa, central Portugal). The ore deposit consists of a swarm of sub-horizontal veins associated to a Late-Variscan S-type granite and enclosed by a metasedimentary unit of Late Ediacaran to Early Cambrian age (e.g., Kelly and Rye, 1979; Romão et al., 2013).The veins are mainly composed of gangue quartz, muscovite and minor carbonates, apatite, topaz, topaz, fluorite, tourmaline, rutile, ilmenite, arsenopyrite, sphalerite, pyrite, marcasite, stannite and pyrrhotite. Mineralization of wolframite, chalcopyrite and cassiterite is predominantly hosted in veins with minor stringers and lenses of sulfide minerals in the wall rocks (e.g., Kelly and Rye, 1979; Polya, 1989; Polya et al., 2000). Although there is a strong variation in the vein mineralogy, typically the quartz vein-filling is rimmed by a muscovite up to 4-5 cm thick. The hydrothermal alteration produced a 2 to 30 cm thick tourmaline-rich alteration halo in the host metasediments (Bussink, 1984).
The analyzed samples are described by Codeço et al. (2017), Codeço et al. (2018) and Codeço et al. (in prep.). In those works, chemical (major and trace elements) and boron isotopic compositions of tourmaline and white mica, and whole rock chemistry of altered and unaltered metasediments are presented and discussed. Further details on sample description can be found in the file “SampleDescription.xlsx”. Figure 2 shows the location of the drill holes were samples for petrography and whole rock geochemistry were collected and of the samples containing tourmaline and mica.
# 12
Reiter, Karsten • Kukowski, Nina • Ratschbacher, Lothar • Rosenau, Matthias
Abstract: This data publication includes animations and figures of eight scaled analogue models that are used to investigate the evolution of a curved mountain belt akin to the Pamir and Hindu Kush orogenic system and adjacent Tadjik basin. Crustal deformation is simulated by means of indentation of two basement blocks into a sedimentary sequence and the formation of a curved fold-and-thrust belt.The experimental set-up has two adjacent rigid indenters representing the basement blocks moving in parallel with a velocity difference (Figure 1). The slow indenter moves with a relative velocity ranging from 40 to 80% of that of the fast one. A layer of quartz sand in front of the indenters, 1 by 1 meter in size and 1.5 cm thick, represents the sedimentary basin infill. A basal detachment layer is made up of low-friction glass beads or viscous silicone oil representing weak shale or evaporates layers, respectively. The surface evolution by means of topography and strain distribution is derived from 3-D particle image velocimetry (PIV). This allows visualizing and analysing the development of the model surface during the complete model run at high spatio-temporal resolution. All details about the model set-up, modelling results and interpretation can be found in Reiter et al. (2011).The here provided additional material includes time-lapse movies showing the topographic evolution of the eight models. These visualizations are oblique views played back at 60-fold velocity for the “glass beads experiments” (gb40 to gb80) and 3600-fold velocity for the “silicone experiments” (si60, si-gb60).In addition to the experiment movies we provide a set of figures. The figures include surface views as well as cross-sections through the finite models highlighting the link between topography and internal structure of the simulated curved fold-and-thrust belts. Additionally, attribute maps of distinct morphometric measures (curvature, slope) and deformation parameters (uplift, horizontal translation) for the experiments with glass beads detachments are given. Finally, the movie “Experimenting.avi” shows in time-lapse the whole workflow of setting up, conducting and documenting an experiment, which originally required three days (for experiment si-gb60).An overview on the parameters used in the experimental series of the movie sequences is given in the explanatory file (Explanations_Reiter-et-al-2016.pdf). A full list of files is given in “list-of-files-Reiter-et-al-2016.pdf”.
# 13
Rudolf, Michael • Boutelier, David • Rosenau, Matthias • Schreurs, Guido • Oncken, Onno
Abstract: The datasets that are presented here have been obtained to provide a rheological benchmark of silicones used in various analog modeling laboratories. The data contains rheological measurements of several polydimethylsiloxanes (PDMS) and filled silicone oils. The samples of eight different silicone oils originate from seven laboratories. Each sample was analyzed using rotational controlled shear rate tests (CSR), temperature sweep test, and dynamical oscillation tests (amplitude and frequency sweeps). Detailed information on the analysis and interpretation of the data is found in Rudolf, et al. (2016).The data is provided as comma-separated files in *.csv format. Each file contains multiple measurements, each starting with own data series information that is followed by the actual measurement in the form of a table including the individual units of measure. Furthermore the results from ReSpect (Takeh & Shanbhag, 2013) for the discrete Maxwell relaxation spectra are provided. All files can be opened using a text-editor, MS Excel, or equivalent software.More information about the datasets is available in the file Explanations_Rudolf-et-al-2016.pdf, an overview on the available files in the List_of_Files_Rudolf-et-al-2016 (in .pdf and .xlsx format). All information and overview files are also included in Rudolf-et-al-2016_datasets.zip.
# 14
Brown, Maxwell • Korte, Monika • Holme, Richard • Wardinski, Ingo • Gunnarson, Sydney
Abstract: Compilation of palaeomagnetic data from sediments and volcanic rocks from 68 sites spanning 30,000 to 50,000 years ago used to create the temporally continuous global spherical harmonic geomagnetic field model LSMOD.1. This is in supplement to the paper "Earth's magnetic field is (probably not reversing" (Brown et al. 2018) A description of how the data were treated is given in SI Appendix of the associated publication. A full list of complementary data sources (references) is given is provided with the data.-----------------For the volcanics there is one filevolc.txt The headers are:Age[ka] - age in thousands of years before present (0 = 1950 AD).Error[ka] - uncertainty on the age.Lat[Deg] - Latitude of site in degrees.Lon[Deg] - Longitude of site in degrees.Dec[Deg] - Declination in degrees.Inc[Deg] - Inclination in degrees.Alpha95[Deg] - 95% circular confidence limit on the directional data.F[microT] - intensity in micro Tesla.F_Error[microT] - uncertainy on the intensity in micro Tesla. -9999 - no data-----------------For the sediments there are two types of files, those that end *.txt and those that end *int.txt. *.txt - directional data with the headers: Age[ka] - age in thousands of years before present (0 = 1950 AD).Lat[Deg] - Latitude of site in degrees.Lon[Deg] - Longitude of site in degrees.Dec[Deg] - Declination in degrees.Inc[Deg] - Inclination in degrees. -9999 - no data *int.txt - scaled intensity data using PADM2M (as described in Section S1.3 of SI Appendix)Age[ka] - age in thousands of years before present (0 = 1950 AD).Lat[Deg] - Latitude of site in degrees.Lon[Deg] - Longitude of site in degrees.F[microT] - Scaled intensity in micro Tesla. 6 of the sediment data sets are individual records (BLS, CHI, MIN, PYR, SIO, S01).6 of the sediment data sets are stacks of records (BBS, NAS, NPS, OBS, SBS, SAS). All details of the records are given in Table S1 and Table S2 of the SI Appendix of the associated publication.
# 15
Mikolaj, Michal
Abstract: This software publication describes the data acquisition, processing and modelling of hydrological, meteorological and gravity time series prepared for the Argentine-German Geodetic Observatory (AGGO) in La Plata, Argentina. The corresponding output data set is available at http://doi.org/10.5880/GFZ.5.4.2018.001 (Mikolaj et al., 2018). Processed hydrological series include soil moisture, temperature, electric conductivity, and groundwater variation. The processed meteorological time series comprise air temperature, humidity, pressure, wind speed, solar short- and long-waver radiation, and precipitation. Modelling scripts include evapotranspiration, combined precipitation, and water content variation in the zone between deepest soil moisture sensor and groundwater. In addition, large-scale hydrological, oceanic as well as atmospheric effect are modelled along with the local hydrological effects. To allow for a comparison of the model outputs to observations, processing script of gravity residuals is provided as well.
# 16
Mikolaj, Michal • Güntner, Andreas • Brunini, Claudio • Wziontek, Hartmut • Gende, Mauricio • (et. al.)
Abstract: The data set contains hydrological, meteorological and gravity time series collected at Argentine-German Geodetic Observatory (AGGO) in La Plata, Argentina. The hydrological series include soil moisture, temperature, electric conductivity, soil parameters, and groundwater variation. The meteorological time series comprise air temperature, humidity, pressure, wind speed, solar short- and long-waver radiation, and precipitation. The observed hydrometeorological parameters are extended by modelled value of evapotranspiration and water content variation in the zone between deepest soil moisture sensor and the groundwater level. Gravity products include large-scale hydrological, oceanic as well as atmospheric effects. These gravity effects are furthermore extended by local hydrological effects and gravity residuals suitable for comparison and evaluation of the model performance. Provided are directly observed values denoted as Level 1 product along with pre-processed series corrected for known issues (Level 2). Level 3 products are model outputs acquired using Level 2 data. The maximal temporal coverage of the data set ranges from May 2016 up to November 2018 with some exceptions for sensors and models set up in May 2017. The data set is organized in a database structure suitable for implementation in a relational database management system. All definitions and data tables are provided in separate text files allowing for traditional use without database installation. Software related to the data acquisition, processing, and modelling can be found in a separate publication describing scripts applied to the data set presented here. The software publication is available at https://doi.org/10.5880/GFZ.5.4.2018.002 (Mikolaj, 2018)
# 17
Klinkmüller, Matthias • Schreurs, Guido • Rosenau, Matthias
Abstract: This dataset provides compaction data from axial testing on natural and artificial granular materials used for experimental simulation by the analogue geodynamic modelling community (21 sands and glass beads). The material samples have been collected community-wide and analysed at GFZ Potsdam in the framework of the GeoMod2008 conference benchmark initiative. The context of data collection, details of the material samples and measuring techniques as well as interpretation and discussion of results can be found in Klinkmüller et al. (2016) to which this dataset is supplement material.
The data presented here are derived by uniaxial, confined compression testing using the Axial Tester at GFZ Potsdam’s analogue laboratory for tectonic modelling . Each sample has been carefully prepared by the same person and measured consistently following the same protocol. Preparation included sieving at 250 ml/min from 30 cm height into the container (jar). Up to 2000 kPa of uniaxial compression has been applied in 50 cycles. Laboratory conditions were air conditioned during all the measurements (Temperature: 23°C, Humidity: 45%).The resulting stress curve data are presented at 20 Hz frequency and the Unit of N. From the stress curves the compaction data have been derived. These correspond to the normalized sample height (normalized to the initial height) of the sample at the beginning of each cycle and are characterized by an exponential decrease over the 50 cycles. From that the following compaction parameters are derived: total compaction (shortening after 50 cycles Ct=eps50), the compaction during the first cycle (eps1) as well as the compaction index (Ci = eps1/eps50). Compaction data are finally visualized in the compactionDataPlot file.Each material sample has a relation to three files: stress curve data (txt format, 50 files per sample), compaction data (in xls and txt format), compaction plot (pdf format), examples of which are shown below. An overview of all files of the data set is given in the table CompactionDataOverview.xls.
# 18
Klinkmüller, Matthias • Kemnitz, Helga • Schreurs, Guido • Rosenau, Matthias
Abstract: This dataset provides images from scanning electron microscope (SEM) photography of natural and artificial granular materials used for experimental simulation by the analogue geodynamic modelling community (21 sands and glass beads). The material samples have been collected community-wide and analysed at GFZ Potsdam in the framework of the GeoMod2008 conference benchmark initiative. The context of data collection, details of the material samples and measuring techniques as well as interpretation and discussion of results can be found in Klinkmüller et al. (2016) to which this dataset is supplement material.
The data presented here are derived by using the scanning electron microscope facility at GFZ Potsdam. The selected grains were mounted on aluminium stubs supplied with conductive carbon tabs and gold-palladium coated. The study was performed using a ZEISS DSM 692 (in 2008) and (in 2009) a ZEISS ULTRA 55 Plus Schottky-type field emission scanning electron microscope (FESEM) at acceleration voltages from 7 to 20 kV. In both cases, we used the secondary (SE) electron signals providing the best spatial resolution of the sample morphology.The resulting SEM images are presented. From each sample several magnifications are provided ranging from overview (50x-100x) to particle portraits (100x-500x) and, for glass beads, to surface landscapes (500x-10.000x).
An overview of all files of the data set is given in the table SEMDataOverview.
# 19
Klinkmüller, Matthias • Schreurs, Guido • Rosenau, Matthias
Abstract: This dataset provides sieve data (grain size distributions) on natural and artificial granular materials used for experimental simulation by the analogue geodynamic modelling community (21 sands and glass beads). The material samples have been collected community-wide and analysed at GFZ Potsdam in the framework of the GeoMod2008 conference benchmark initiative. The context of data collection, details of the material samples and measuring techniques as well as interpretation and discussion of results can be found in Klinkmüller et al. (2016) to which this dataset is supplement material.
The data presented here are derived by sieving using a RETSCH Vibratory Sieve Shaker AS 200 basic at GFZ Potsdam’s analogue laboratory for tectonic modelling. Mesh sizes used were 630, 400, 355, 224, 125, and 63 micrometer. 1 kg of each sample material has been sieved for 4 hours at maximum Amplitude (3 mm). Laboratory conditions were air conditioned during all the measurements (Temperature: 23°C, Humidity: 45%).The resulting sieve analysis data are presented as fractions of 1 kg.
An overview of all files of the data set is given in the table SieveDataOverview.
# 20
Klinkmüller, Matthias • Schreurs, Guido • Rosenau, Matthias
Abstract: This dataset provides friction data from ring shear test (RST) on natural and artificial granular materials used for experimental simulation by the analogue geodynamic modelling community (21 sands and glass beads). The material samples have been collected community-wide and analysed at GFZ Potsdam in the framework of the GeoMod2008 conference benchmark initiative. The context of data collection, details of the material samples and measuring techniques as well as interpretation and discussion of results can be found in Klinkmüller et al. (2016) to which this dataset is supplement material.
The data presented here are derived by ring shear testing using a SCHULZE RST-01.pc (Schulze, 1994) at GFZ Potsdam’s analogue laboratory for tectonic modelling. Each sample has been carefully prepared by the same person and measured consistently following the same protocol. Preparation included sieving at 250 ml/min from 30 cm height into the shear cell. Measurements have been done at normal loads (normal stress) of 430, 860, 1290, 1720, and 2150 Pa and shear velocity of 3 mm/min typical of experimental conditions. Laboratory conditions were air conditioned during all the measurements (Temperature: 23°C, Humidity: 45%). The measurements presented here correspond to internal friction, shearing inside the material. Data for so-called basal or wall friction, i.e. shearing against a fixed plate, are available on request.The resulting shear stress curves are presented at 5 Hz frequency and the Unit of Pa. From the shear stress curves the friction data, i.e. peak, dynamic and reactivation friction, have been picked manually and are presented as data pairs (normal stress & respective shear strength). Matlab-based regression analysis of these friction data by means of (a) multilinear regression of all data pairs and (b) mutual regression of two data pairs constrains the material shear failure envelope characterized by friction coefficient (slope of regression line) and cohesion (y-axis intercept of regression line). The results are presented by friction plots.
Each material sample corresponds to three files: shear stress curves (xls/txt format), friction data (txt format), friction plots (pdf format), examples of which are shown below. An overview of all files of the data set is given in the table RSTDataOverview.
Cited reference: Schulze, D. (1994), Entwicklung und Anwendung eines neuartigen Ringschergerätes. Aufbereitungstechnik 35 (10), 524-535.
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