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114 results for “Basalts”
UAV-based colour-infrared orthomosaics and digital elevation models of basalts and rock glaciers on Disko Island, West Greenland
<p><span>This data set contains multispectral surveys conducted with an unoccupied aerial vehicle over rock glaciers and steep mafic outcrops (intrusive and flood volcanics) near the coastline of Disko Island.</span></p> <ul> <li><span>Acquisition date: 07.08.2019 – 10.08.2019</span></li> <li><span>Location: Illukunnguaq, Disko Island, Greenland</span></li> <li><span>UAV: SenseFly eBee Plus</span></li> <li><span>Flight altitude above ground level: >100m</span></li> <li><span>Image Overlap forward/side: various</span></li> <li><span>Camera: Parrot Sequoia multispectral</span></li> <li><span>EPSG: 32622</span></li> <li><span>Center coordinates: 69.885277°N, -52.577724°E</span></li> <li><span>Flight mode: automatic flight plan</span></li> </ul> <p><span>Data products: </span></p> <ul> <li><span>Orthomosaic colour-infrared, 10-16 cm pixel resolution</span></li> <li><span>Colour-infrared spectral bands: 790nm, 660nm, 550nm</span></li> <li><span>DEM, 20-30cm pixel resolution</span></li> <li><span>Data coverage: approx. 5500 x 2500 m</span></li> <li><span>Elevation profile: 20-680m </span></li> <li><span>Processing in Agisoft Metashape</span></li> </ul> <p><span>Additional data supplement for article:<br>Barnes, E. (2020). Assessment of Drone-Borne Multispectral Mapping in the Exploration of Magmatic Ni-Cu Sulphides–an Example from Disko Island, West Greenland. <br><em>URN: urn:nbn:se:uu:diva-418858</em></span></p> <p>MULSEDRO field campaign was conducted under scientific survey licence (VU-00158-2019) within mineral exploration licence MEL 2018-16 by Blue Jay Mining PLC. This research has been supported by the project MULSEDRO, funded by HZDR-HIF & EITRawMaterials (project ID 16193) and the European Union.</p>
UAV-based orthomosaic and digital elevation model of a basalt outcrop on Disko Island, West Greenland
<p><span>This data set contains an RGB survey conducted with an unoccupied aerial vehicle (UAV) over a flat basaltic outcrop (intrusive and flood volcanics), surrounded by boreal vegetation (Salix species).</span></p> <ul> <li><span>Acquisition date: 13.08.2019</span></li> <li><span>Location: Qullissat (Qutdlikssat), Disko Island, Greenland</span></li> <li><span>UAV: DJI Mavic 1 Pro</span></li> <li><span>Flight altitude above ground level: 75 m</span></li> <li><span>Image Overlap forward/side: 70 % / 70 %</span></li> <li><span>Camera: RGB</span></li> <li><span>EPSG: 32622</span></li> <li><span>Center coordinates: 70.05330°N, -52.97780°E</span></li> <li><span>Flight mode: manual image acquisition</span></li> </ul> <p><span>Data products: </span></p> <ul> <li><span>Orthomosaic RGB 2.3 cm pixel resolution</span></li> <li><span>DEM 5cm pixel resolution</span></li> <li><span>Processing in Agisoft Metashape</span></li> <li><span>Data coverage: approx. 250 x 360 m</span></li> </ul> <p>Acknowledgements</p> <p><span>MULSEDRO field campaign was conducted under scientific survey licence (VU-00158-2019) within mineral exploration licence MEL 2018-16 by Blue Jay Mining PLC. This research has been supported by the project MULSEDRO, funded by HZDR-HIF & EITRawMaterials (project ID 16193) and the European Union.</span></p>
The Effects of Plant-Microbe-Environment Interactions on Mineral Weathering Patterns in a Granular Basalt
<p>Data used in the Milici et al. <em>Geobiology </em>article "The Effects of Plant-Microbe-Environment Interactions on Mineral Weathering in Granular Basalt". The data result from a greenhouse experiment in which 14 genotypes of Alfalfa <em>(Medicago</em> sativa) were grown in an unweathered granular basaltic tephra, exposed to an early successional soil microbial community, and replicated across three different soil moisture treatments. This experiment seeks to identify the roles of vascular plants and soil microbes on mineral weathering. Please see the article for full project description. </p> <p>General File Descriptions:</p> <p>"AllPerformanceGeochem.csv" contains both the performance and geochemistry data associated with each plant grown in the experiment and is used for the majority of the analyses.</p> <p>"FullCensusTimeSeries.csv" contains the growth and survival data for the plants across the entire 3 month duration of the experiment and is used only to calculate survival rate and growth rate.</p> <p>"pottingsoilmass.csv" contains the data for alfalfa grown in potting soil and is used to compare how much the basalt limited plant growth relative to a potting soil control. </p> <p>These data are cleaned and formatted for analysis via the code in the github repository linked to this data repository. </p> <p> </p>
Supplementary dataset for "Magnetic recording fidelity of basalts through 3D nanotomography, 2024"
<p>This repository contains raw data and scripts needed to reproduce the results presented in "Magnetic recording fidelity of basalts through 3D nanotomography, 2024". These include slice-and-view image stacks (<a href="../api/records/11369780/draft/files/VesuviusSnVTiffStack.tif/content" target="_blank" rel="noopener noreferrer">VesuviusSnVTiffStack.tif</a> for the Vesuvius dataset and <a href="../api/records/11369780/draft/files/HeklaSnVTiffStack.tif/content" target="_blank" rel="noopener noreferrer">HeklaSnVTiffStack.tif</a> for the Hekla Volume) for the samples discussed in the manuscript. These were used to generate 3D meshes of magnetite grains in the volume using the methodology described in the manuscript. <a href="../api/records/11369780/draft/files/Individual%20Meshes%20Vesuvius.7z/content" target="_blank" rel="noopener noreferrer">Individual Meshes Vesuvius.7z</a> and <a href="../api/records/11369780/draft/files/Individual%20Meshes%20Hekla.7z/content" target="_blank" rel="noopener noreferrer">Individual Meshes Hekla.7z</a> contain the individual 3D mesh .pat files, while <a href="../api/records/11369780/draft/files/Hekla%20Full%20Volume.stl/content" target="_blank" rel="noopener noreferrer">Hekla Full Volume.stl</a> and <a href="../api/records/11369780/draft/files/Vesuvius%20Full%20Volume.stl/content" target="_blank" rel="noopener noreferrer">Vesuvius Full Volume.stl</a> show full 3D representations of the studied volumes. The individual mesh files can be used as geometry inputs for micromagnetic simulations using the MERRILL suite . Example MERRILL scripts are also included, with <a href="../api/records/11369780/draft/files/LEM_StateMerrilScript.merrill/content" target="_blank" rel="noopener noreferrer">LEM_StateMerrilScript.merrill</a> showing an example of a script used to determine the local energy minimum (LEM) state of a magnetic grain and <a href="../api/records/11369780/draft/files/NEB_Merril_Script.merrill/content" target="_blank" rel="noopener noreferrer">NEB_Merril_Script.merrill</a> showing a script to determine the energy barriers between LEM states used in the calculation of relaxation times. Finally ".csv" files containing grain metrics are also included for both of the studied samples ( <a href="../api/records/11369780/draft/files/HeklaGrainMetrics.csv/content" target="_blank" rel="noopener noreferrer">HeklaGrainMetrics.csv</a> and <a href="../api/records/11369780/draft/files/VesuviusGrainMetrics.csv/content" target="_blank" rel="noopener noreferrer">VesuviusGrainMetrics.csv</a> ). These contain information on the size of the individual particles, their morphology, the LEM states they support and the energy barries from the NEB calculation.</p>
Figure 2 in The Tumbarumba Basaltic Gem Field, New South Wales: In Relation to Sapphire-Ruby Deposits of Eastern Australia
Figure 2. Gemstones, Tumbarumba field, photography G. Webb. a—Zircon xenocryst in basalt matrix, Ruby Creek. The crystal is 3 mm across. b—Strongly corroded blue sapphires, Tumbarumba Creek. Crystals to 6 mm across. c—Zoned "agate" sapphires, Tumbarumba Creek. Crystals to 6 mm across. d—Trapiche-like sapphires, with radiating silk zones, Tumbarumba Creek. Crystals to 11 mm acros s. e—Diffuse-zoned, vari-coloured sapphire crystals, Tumbarumba Creek. Crystals to 7 mm across. f—Pink to red corundums, Tumbarumb a Creek. Crystals to 11 mm across.
Figure 6 in The Tumbarumba Basaltic Gem Field, New South Wales: In Relation to Sapphire-Ruby Deposits of Eastern Australia
Figure 6. Representative colour absorption spectra (amplitude, A, plotted against wavelength in nm), unusual
Figure 10 in The Tumbarumba Basaltic Gem Field, New South Wales: In Relation to Sapphire-Ruby Deposits of Eastern Australia
Figure 10. Comparative post-Eocene basalt ages, Southern Tablelands–Snowy Mountains region, New South Wales, Australia. Age data for Grabben Gullen field from Bishop et al. (1985) and for Snowy field from Wellman & McDougall (1974),Young & McDougall (1993) and this paper. The diagram sets out entries in approximate geographic relationship. Ɵ indicates sapphire/zircon gemstone locality. Arrows indicate directions of plate motion and predicted volcanic shift.
Figure 1 in The Tumbarumba Basaltic Gem Field, New South Wales: In Relation to Sapphire-Ruby Deposits of Eastern Australia
Figure 1. Distribution of gem-gearing deposits (Co) related to Cainozoic basalts (enclosed areas) and deep leads (dashes) overlying basement rocks, with the Tumut Ponds serpentinite belt (filled areas). Modified from Wagga Wagga 1: 250 000 metallogenic map, showing locations of basalt sample (Nos), thin section (+) and analytical (×) sites, K-Ar basalt dates (Ma) with previous dating (O) and new dates (Z), zircon fission track dating sites (FT-Ma), zircon U/Pb isotope dating sites (U/Pb Ma), likely eruptive sites (Δ) and possible eruptive sites (Δ).
Figure 9 in The Tumbarumba Basaltic Gem Field, New South Wales: In Relation to Sapphire-Ruby Deposits of Eastern Australia
Figure 9. (a,b) Comparison between trace element concentrations in theoretical Tumbarumba primary magmas, and calculated curves for non-modal batch partial melting. See text for explanation. Each curve represents a different combination of mantle type and bulk trace element composition. PM = primitive mantle (Sun & McDonough, 1989); MM = metasomatised mantle (sample WGBM 15, O'Reilly & Griffin, 1988). Curve increments are listed in the Key, as well as being shown on the diagrams. The method for calcu lating trace element compositions of "primary" magmas is detailed in the text, with mineral/melt partition coefficients for olivine an d cpx being obtained from: Ablay et al. (1998), Ewart & Chappell (1989), Kostopoulos & James (1992), McKenzie & O'Nions (1991), Nielsen (1998) and Panter et al. (1997). Source of partition coefficients used in the melting calculations are: all olivine, cpx, opx, garnet and spinel from Kostopoulos & James (1992), except for the REE (McKenzie & O'Nions 1991); all amphibole and kaersutite from Ionov et al. (1997), except REE for phlogopite (McKenzie & O'Nions, 1991).
Figure 8. Normalised incompatible element plots, Tumbarumba basalts. a in The Tumbarumba Basaltic Gem Field, New South Wales: In Relation to Sapphire-Ruby Deposits of Eastern Australia
Figure 8. Normalised incompatible element plots, Tumbarumba basalts. a—primary-near primary basanites (DR13820, 13835, 14650, 14662); b—primary alkali basalt (DR14639); c—mildly evolved basanites and alkali basalt (DR13828, 14641); d—primary olivine micro-dolerite (DR13822).
Figure 7 in The Tumbarumba Basaltic Gem Field, New South Wales: In Relation to Sapphire-Ruby Deposits of Eastern Australia
Figure 7. Sub-basaltic paleodrainage related to basalt lava exposures, Tumbarumba-Kiandra region (Yarrangobilly 1:100 000 sheet). Palaeochannels (thick lines) showing direction of drainage flow (arrows) are based on subbasaltic contours (thin lines) shown at 400 m contour intervals.
Figure 5 in The Tumbarumba Basaltic Gem Field, New South Wales: In Relation to Sapphire-Ruby Deposits of Eastern Australia
Figure 5. Chemical ratio variation diagram, Tumbarumba corundums. Types as for Fig. 3. TiO2/Ga2O3 against Fe2O3/Cr2O3.
Dataset related to the article titled "Prediction of elastic modulus of basaltic rocks using machine learning methods."
<p>Dataset related to the article titled "Prediction of elastic modulus of basaltic rocks using machine learning methods."</p>
Fig. 9 in Basalts from Rose Atoll, American Samoa
Fig. 9. Samoan Island chain in relation to Pacific thermal anomaly tracks based on postulated plume positions near Rose Atoll and in the Manu'a Group islands. Tracks show 5 million year intervals, solid dots, and are calculated on best fit Pacific plates motion (Gaina et al., 2000; R.D. Müller, pers. comm., 2000). Vailulu'u submarine volcano (V) is located at 14°13'S 169°04'W.
Fig. 7 in Basalts from Rose Atoll, American Samoa
Fig. 7. Ba/Nb vs La/Nb diagram of Rose Atoll basalt plots related to N-MORB, Primitive Mantle (cross) and fields of Pacific and Atlantic plume basalts (based on Sun & McDonough, 1989). Solid thick line: Rose Atoll basalt field; thick dotted line: Alexa Bank field; solid thin line: Hawaiian plume tholeiites and Loihi alkalic to transitional basalt fields; thin dashed lines: Atlantic plume basalt fields (St Helena SH, Ascension Island AI, Tristan da Cunah TC, Gough island GI, and Walvis Ridge WR). Rose Atoll data (A, B, C and Agl) from this paper. Samoan plume islands and seamount fields (9 analyses) from Johnson et al. (1986) and Wallis Island (12 analyses) from Price et al. (1991). Hawaiian plume tholeiites (19 analyses, excluding Koolau and other separate source basalts) from Norman & Garcia (1999). Loihi alkalic to transitional basalts (20 analyses) from Garcia et al. (1995).
Fig. 6 in Basalts from Rose Atoll, American Samoa
Fig. 6. Incompatible trace element plots of Rose Island basalts (A, B, C) normalized to primitive mantle, using normalization factors and data after Sun & McDonough (1989). Plots for enriched-type MORB and low 87Sr/86Sr OIB are shown for comparison.
Fig. 2 in Basalts from Rose Atoll, American Samoa
Fig. 2. Al2O3 vs MgO for Manu'a lavas and Rose Atoll samples. The olivine and plagioclase control lines are those of Hubbard (1971).
Fig. 1 in Basalts from Rose Atoll, American Samoa
Fig. 1. Location map of Rose Atoll within the Samoan Island Chain. Vailulu'u submarine volcano (V) is located at
Fig. 8 in Basalts from Rose Atoll, American Samoa
Fig. 8. Nb and Ba related to Zr for Samoan shields, islands and submarine banks. Thick lines: Rose Atoll and Samoan shields; thin lines: Combe Bank, Lalla Rookh bank, Alexa Bank and Wallis Island. Stars: Rose Atoll analyses, this paper. Other data from Natland & Turner (1985), Johnson et al. (1986), Price et al. (1991).
The segregation of recycled basaltic material within mantle plumes explains the detection of the X-Discontinuity beneath hotspots: 2D geodynamic simulations: Data
<pre>This repository accompanies the paper ``` The segregation of recycled basaltic material within mantle plumes explains the detection of the X-Discontinuity beneath hotspots: 2D geodynamic simulations by Martina Monaco, Juliane Dannberg, Rene Gassmoeller, Stephen Pugh ``` The global models presented in the manuscript were run using the following dependencies: ``` ----------------------------------------------------------------------------- -- This is ASPECT, the Advanced Solver for Problems in Earth's ConvecTion. -- . version 2.3.0-pre (master, 74e48be) -- . using deal.II 9.3.0 -- . with 32 bit indices and vectorization level 2 (256 bits) -- . using Trilinos 12.10.1 -- . using p4est 2.2.0 ----------------------------------------------------------------------------- ``` This repository contains: - The 'all_model_series' folder with the files used to analyze the depth averages. Each series (100, Aoki, Hefesto) has its own subfolder; - The 'plugins' folder, with the required plugin to run the models. To compile the plugin, navigate into this directory and follow the steps: 1. `cmake -D Aspect_DIR=PATH_TO_ASPECT` (replace `PATH_TO_ASPECT` with the directory where you compiled ASPECT). 2. `make` - The 'run_series' bash script, with the command to run multiple models at once. The user should modify: ° The input file name: INPUT_FILE=heterogeneity-several-blobs-INSERT-SERIES.prm ° The directory where ASPECT is located: srun --mpi=pmix_v2 $HOME/aspect/aspect-build/aspect --" echo -e $COMMAND | sbatch --job-name gs_${viscosity}_spacing_${blob_spacing} -p hpg2-compute -N 1 -n 32 -t 3-23:59:00 -o output_gs_${viscosity}_spacing_${blob_spacing}.%j -e error_gs_${viscosity}_spacing_${blob_spacing}.%j --constraint 'haswell|skylake' --mem-per-cpu '3gb' --distribution block; - The three parameter files (.prm), one per series; - Two .py files containing the scripts necessary to plot all the figures in the paper</pre>
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