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712 results for “Mantle”
Research data supporting for Stress-induced amorphization triggers deformation in the lithospheric mantle
<p>Original TEM micrographs used to prepare the figures of the article</p>
Pressure-driven Poiseuille flow inherited from Mesozoic mantle circulation led to the Eocene separation of Australia and Antarctica
<p>Mantle temperature field at 60 Ma and at a random distribution for TERRA and numerical grids for SHELLS.</p> <p> </p>
Data for "Variation in Upper Plate Crustal and Lithospheric Mantle Structure in the Greater and Lesser Antilles from Ambient Noise Tomography"
<p>This is the phase velocity information and the shear wave model for the g-cubed paper:</p> <p>"Variation in Upper Plate Crustal and Lithospheric Mantle Structure in the Greater and Lesser Antilles from Ambient Noise Tomography"</p>
Changes in core-mantle boundary heat flux patterns throughout the supercontinent cycle: Data
<p>This repository accompanies the paper</p> <p> </p> <p>```</p> <p>Dannberg, J., Gassmoeller, R., Thallner, D., LaCombe, F., Sprain, C.: Changes in core-mantle boundary heat flux patterns throughout the supercontinent cycle.</p> <p>```</p> <p> </p> <p>This repository contains instructions for how to obtain the boundary conditions from GPlates, ASPECT code, data and model setups, and scripts for converting the ASPECT model output to spherical harmonics so it can be used in geodynamic simulations. To reproduce the workflow follow the steps:</p> <p> </p> <p>- To create the velocity boundary conditions for the ASPECT models, download the plate reconstruction from 'Merdith, A.S., Williams, S.E., Collins, A.S., Tetley, M.G., Mulder, J.A., Blades, M.L., Young, A., Armistead, S.E., Cannon, J., Zahirovic, S. and Müller, R.D., 2021. Extending full-plate tectonic models into deep time: Linking the Neoproterozoic and the Phanerozoic. Earth-Science Reviews, 214, p.103477', which can be found here:</p> <p> </p> <p>https://doi.org/10.5281/zenodo.4485738</p> <p> </p> <p>To create the 'lat_lon_velocity' files, take the following steps in GPlates:</p> <p> </p> <p>1. Load all of the files from the Merdith et al, 2021 plate reconstruction into a Feature Collection which can be saved as a project (the project for our visualization is 'project.gproj').</p> <p>2. Establish the output grid (ours is lat_lon_velocity_domain_91_181): Features -> Generate Velocity Domain Points -> Latitude Longitude -> Number of latitudinal grid intervals=91, Number of longitudinal grid intervals=181, number of nodes=16652.</p> <p>3. To output the point velocities we used for the models: Reconstruction -> Export -> Add Export -> Velocities, GPML(*.gpml), velocity_%nMa</p> <p>- The data files we created following this workflow are part of this data publication and can be found in the `lat_lon_velocity` folder.</p> <p> </p> <p>- The global spherical convection models of the publication were created using two different ASPECT configurations:</p> <p> </p> <p>Models `thermal`, `thermochemical`, and `p-T-dependent` were run using:</p> <p> </p> <p>```</p> <p>-----------------------------------------------------------------------------</p> <p>-- This is ASPECT, the Advanced Solver for Problems in Earth's ConvecTion.</p> <p>-- . version 2.4.0-pre (limit_shear_heating, 4f45a72fe)</p> <p>-- . using deal.II 9.4.0-pre (3d869ba6cd1fd462624e09dc232e34ed17880701)</p> <p>-- . with 64 bit indices and vectorization level 2 (256 bits)</p> <p>-- . using Trilinos 12.18.1</p> <p>-- . using p4est 2.3.2</p> <p>-----------------------------------------------------------------------------</p> <p>```</p> <p> </p> <p>Models `strong basalt` and `weak ppv` were run using:</p> <p> </p> <p>```</p> <p>-----------------------------------------------------------------------------</p> <p>-- This is ASPECT, the Advanced Solver for Problems in Earth's ConvecTion.</p> <p>-- . version 2.5.0-pre (limit_shear_heating_and_ppv, a4812c95a)</p> <p>-- . using deal.II 9.4.2</p> <p>-- . with 64 bit indices and vectorization level 3 (512 bits)</p> <p>-- . using Trilinos 13.2.0</p> <p>-- . using p4est 2.3.2</p> <p>-----------------------------------------------------------------------------</p> <p>```</p> <p> </p> <p>- The two modified ASPECT versions are included in this data package. The repository including full</p> <p>version history is until further notice available as branch `limit_shear_heating` and branch `limit_shear_heating_and_ppv`</p> <p>in the repository `https://github.com/jdannberg/aspect.git`.</p> <p> </p> <p>- Running these models also requires plugins that are located in the `shared_libs` folder in this repository and that need to be compiled. Navigate into this directory and follow the steps:</p> <p> </p> <p>1. `cmake -D Aspect_DIR=PATH_TO_ASPECT` (replace `PATH_TO_ASPECT` with the directory where you compiled ASPECT).</p> <p>2. `make`</p> <p>- Now the models in this repository can be started. You should start them from the `input_files` directory so that all paths are set correctly and you can start them with the ASPECT executable in your build folder.</p> <p> </p> <p>- The files in `aspect_input_files` correspond to the models presented in the paper following the same naming scheme.</p> <p> </p> <p>- To convert the ASPECT heat flux output to spherical harmonics we used the script `analyze_heatflux_mpi_gmt.py` in `SPH_scripts`,</p> <p>which requires modification to point to the correct ASPECT statistics file and the correct output directory.</p> <p> </p> <p>- The final heat flux output is included in this data package in the `heat_flux` folder, which includes archives of the processed heat flux output in 1 Myr time intervals with 0 being the start of the model run and the highest timestep number representing the present day state.</p>
Philippine Sea plate and surrounding magmatism reveal the Antarctic-Zealandia, Pacific, and Indian mantle domain boundaries
<p>This file includes Supplementary data 1-5 and the Supplementary movie 1 for: Shengping Qian, Jeremy Tsung-Jui Wu, Jonny Wu. Philippine Sea plate and surrounding magmatism reveal the Antarctic-Zealandia, Pacific, and Indian mantle domain boundaries. submitted in 2023</p>
Unique composition and evolution histories of low velocity mantle domains: Data and analysis
<p>Dataset and Jupyter notebook accompanying 'Unique composition and evolution histories of low velocity mantle domains'. </p> <p>Dataset includes:</p> <ul> <li>Present day properties of simulated mantle for simulations RCY, B=0.22, B=0.44, visc2, visc3, CMB2600, CMB2800, COMP, PRM, MER.</li> <li>Present day predicted seismic properties for simulations RCY, B=0.22, B=0.44, visc2, visc3, CMB2600, CMB2800, COMP, MER.</li> <li>Present day predicted seismic properties for simulation PRM assuming 'primordial' material to be i) basaltic oceanic crust ii) chondrite enriched basalt (CEB).</li> <li>Present day delta Vs for simulations RCY, B=0.22, B=0.44, visc2, visc3, CMB2600, CMB2800, COMP, PRM, MER, filtered using the resolution of seismic tomography model S40RTS.</li> <li>Properties of simulated mantle at 100 Myr intervals from 900 Ma - 100 Ma inclusive for simulation RCY. </li> <li>P-T tables with predicted abundance of post-perovskite for different mantle lithologies (harzburgite, lherzolite and basalt - as defined in the paper).</li> </ul> <p>Jupyter notebook `s-llvps.ipynb` contains code for identifying simulated large low-velocity provinces (S-LLVPs), extracting assoicated model properties and plotting results. Python module files terra_utils.py and ppv.py are also included and required by the code in the notebook. </p> <p>There are a number of pre-requisite packages that will need to be installed in order to run the Jupyter notebook, including <a title="terratools" href="https://github.com/mantle-convection-constrained/terratools" target="_blank" rel="noopener">terratools</a>, a software package written specifically for reading and postprocessing outputs from TERRA simulations. Installation instructions can be found on the GitHub repository. </p> <p>Due to the TERRA code pre-dating open source licensing, we do not currently have permission to publicly share all aspects of the code. In code_pieces.F90 we include code snippets which were implemented for this study. </p> <p>Simulations were conducted using ARCHER2, the UK's national super-computing service. </p> <p>RCY.mp4 is a movie produced for simualtion RCY, visualising the evolution of temperature (right panels) and bulk composition (left panels). Hot iso-surface (red) drawn at +500 K and cold iso-surface (blue) drawn at -400 K, composition iso-surface drawn at C=0.6. Red and blue lines indicate overlying ridges / subduction zones taken from the plate motion reconstructions of Müller et al (2022). </p>
Processed data and models in support of manuscript "Deciphering the state of the lower crust and upper mantle with multi-physics inversion"
<p>Data and model files in original format used in the manuscript "Deciphering the state of the lower crust and upper mantle with multi-physics inversion". These files are accompanied by a set of python scripts to reproduce several of the figures in the Manuscript. Please refer to the Manuscript and the included files for further information on data origin and how to use the scripts. A link will be added upon acceptance.</p>
Research data supporting for "Periclase deforms slower than bridgmanite under mantle conditions"
<p>This deposits contains the files related to the Dislocation Dynamics calculations of creep in MgO presented in the paper</p>
Dataset for "WUS256: An Adjoint Waveform Tomography Model of the Crust and Upper Mantle of the Western United States for Improved Waveform Simulations"
<p>This dataset contains the WUS256 seismic model and auxiliary data used in the creation of the model (Rodgers et al., 2022). WUS256 is a three-dimensional model of the seismic properties of crust and upper mantle of the western United States. The WUS256 model is provided in NetCDF format (readable by for example, <em>xarray</em>, Hoyer & Hamman, <a href="https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2021JB022930#jgrb55516-bib-0057">2017</a>) and HDF5 format for viewing with <em>ParaView</em> (Ahrens et al., <a href="https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2021JB022930#jgrb55516-bib-0002">2005</a>) and interaction with <em>Salvus</em> (Afanasiev et al., <a href="https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2021JB022930#jgrb55516-bib-0001">2019</a>).</p> <p>Also included are the earthquake source parameters for the 72 inversion events and 18 validation events in ASCII text format. Lastly, we include a list of all waveforms used in the creation of WUS256. This is a simple ASCII file with the event name and receiver name (composed of the network_code and station_code).</p> <p>This effort was support by Lawrence Livermore National Laboratory’s Laboratory Directed Research and Development project 20-ERD-008. This work was performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344. LLNL-MI-833624</p>
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>
Supplementary Materials - videos - for 'The root to the Galápagos mantle plume on the core-mantle boundary' by Cottaar et al.
<p>Movie S1.</p> <p>Animation of interaction between the wavefront and the ultra-low velocity zone for Event A using a modified version of the wavefront tracker by (Hauser <em>et al.</em>, 2008). Only horizontal propagation is considered. Event location - blue star, seismometer locations – blue triangles. Velocities show the shear wave velocity deviations at 2800 km depth from the tomographic SEMUCB-WM1 (French and Romanowicz, 2014) and the ultra-low velocity zone. </p> <p> </p> <p>Movie S2.</p> <p>Animation of interaction between the wavefront and the ultra-low velocity zone for Event B using a modified version of the wavefront tracker by (Hauser <em>et al.</em>, 2008). Only horizontal propagation is considered. Event location - blue star, seismometer locations – blue triangles. Velocities show the shear wave velocity deviations at 2800 km depth from the tomographic SEMUCB-WM1 (French and Romanowicz, 2014) and the ultra-low velocity zone. </p> <p> </p> <p>Movie S3.</p> <p>Animation of interaction between the wavefront and the ultra-low velocity zone for Event C using a modified version of the wavefront tracker by (Hauser <em>et al.</em>, 2008). Only horizontal propagation is considered. Event location - blue star, seismometer locations – blue triangles. Velocities show the shear wave velocity deviations at 2800 km depth from the tomographic SEMUCB-WM1 (French and Romanowicz, 2014) and the ultra-low velocity zone. </p> <p> </p> <p>Movie S4.</p> <p>Animation of interaction between the wavefront and the ultra-low velocity zone for Event D using a modified version of the wavefront tracker by (Hauser <em>et al.</em>, 2008). Only horizontal propagation is considered. Event location - blue star, seismometer locations – blue triangles. Velocities show the shear wave velocity deviations at 2800 km depth from the tomographic SEMUCB-WM1 (French and Romanowicz, 2014) and the ultra-low velocity zone. </p>
Whole-mantle P-wave tomography beneath Southeast Aaia and surrounding regions
<p>Dear readers,</p> <p>A file named "model_global_sea.dat" contains P-wave velocity model beneath Southeast Asia and surrounding regions obtained by global tomography (Toyokuni, Zhao, & Kurata, 2022, JGR). </p> <p>The data format is as follows:<br> 1st column: depth (km) (F10.2)<br> 2nd column: latitude (deg) (F10.2)<br> 3rd column: longitude (deg) (F10.2)<br> 4th column: Vp (km/s) (F10.2)<br> 5th column: dVp (%) (F10.2)<br> 6th column: Ray hit count (I10)</p> <p>These are values on grid points used for tomographic inversion.</p> <p>We hope it is useful to you.</p> <p>Kind wishes,</p> <p>Genti Toyokuni & Dapeng Zhao<br> Tohoku University, Japan<br> E-mail: toyokuni@tohoku.ac.jp</p> <p>Reference:<br> Toyokuni, G., Zhao, D., & Kurata, K. (2022).<br> Whole-mantle tomography of Southeast Asia: New insight into plumes and slabs.<br> Journal of Geophysical Research: Solid Earth, under review.</p>
Code and Velocity Data for Sustained indentation in 2D models of continental collision involving whole mantle subduction
<p>Contains the Python code for all models and resolution tests using the <a href="https://www.underworldcode.org/intro-to-underworld">underworld geodynamics code</a> in "Sustained indentation in 2D models of continental collision involving whole mantle subduction" submitted to GJI</p>
Supplementary Materials - videos - for 'The root to the Galápagos mantle plume on the core-mantle boundary' by Cottaar et al.
<p>Movie S1.</p> <p>Animation of interaction between the wavefront and the ultra-low velocity zone for Event A using a modified version of the wavefront tracker by (Hauser <em>et al.</em>, 2008). Only horizontal propagation is considered. Event location - blue star, seismometer locations – blue triangles. Velocities show the shear wave velocity deviations at 2800 km depth from the tomographic SEMUCB-WM1 (French and Romanowicz, 2014) and the ultra-low velocity zone. </p> <p> </p> <p>Movie S2.</p> <p>Animation of interaction between the wavefront and the ultra-low velocity zone for Event B using a modified version of the wavefront tracker by (Hauser <em>et al.</em>, 2008). Only horizontal propagation is considered. Event location - blue star, seismometer locations – blue triangles. Velocities show the shear wave velocity deviations at 2800 km depth from the tomographic SEMUCB-WM1 (French and Romanowicz, 2014) and the ultra-low velocity zone. </p> <p> </p> <p>Movie S3.</p> <p>Animation of interaction between the wavefront and the ultra-low velocity zone for Event C using a modified version of the wavefront tracker by (Hauser <em>et al.</em>, 2008). Only horizontal propagation is considered. Event location - blue star, seismometer locations – blue triangles. Velocities show the shear wave velocity deviations at 2800 km depth from the tomographic SEMUCB-WM1 (French and Romanowicz, 2014) and the ultra-low velocity zone. </p> <p> </p> <p>Movie S4.</p> <p>Animation of interaction between the wavefront and the ultra-low velocity zone for Event D using a modified version of the wavefront tracker by (Hauser <em>et al.</em>, 2008). Only horizontal propagation is considered. Event location - blue star, seismometer locations – blue triangles. Velocities show the shear wave velocity deviations at 2800 km depth from the tomographic SEMUCB-WM1 (French and Romanowicz, 2014) and the ultra-low velocity zone. </p>
Supplementary Materials - videos - for 'The root to the Galápagos mantle plume on the core-mantle boundary' by Cottaar et al.
<p>Movie S1.</p> <p>Animation of interaction between the wavefront and the ultra-low velocity zone for Event A using a modified version of the wavefront tracker by (Hauser <em>et al.</em>, 2008). Only horizontal propagation is considered. Event location - blue star, seismometer locations – blue triangles. Velocities show the shear wave velocity deviations at 2800 km depth from the tomographic SEMUCB-WM1 (French and Romanowicz, 2014) and the ultra-low velocity zone. </p> <p> </p> <p>Movie S2.</p> <p>Animation of interaction between the wavefront and the ultra-low velocity zone for Event B using a modified version of the wavefront tracker by (Hauser <em>et al.</em>, 2008). Only horizontal propagation is considered. Event location - blue star, seismometer locations – blue triangles. Velocities show the shear wave velocity deviations at 2800 km depth from the tomographic SEMUCB-WM1 (French and Romanowicz, 2014) and the ultra-low velocity zone. </p> <p> </p> <p>Movie S3.</p> <p>Animation of interaction between the wavefront and the ultra-low velocity zone for Event C using a modified version of the wavefront tracker by (Hauser <em>et al.</em>, 2008). Only horizontal propagation is considered. Event location - blue star, seismometer locations – blue triangles. Velocities show the shear wave velocity deviations at 2800 km depth from the tomographic SEMUCB-WM1 (French and Romanowicz, 2014) and the ultra-low velocity zone. </p> <p> </p> <p>Movie S4.</p> <p>Animation of interaction between the wavefront and the ultra-low velocity zone for Event D using a modified version of the wavefront tracker by (Hauser <em>et al.</em>, 2008). Only horizontal propagation is considered. Event location - blue star, seismometer locations – blue triangles. Velocities show the shear wave velocity deviations at 2800 km depth from the tomographic SEMUCB-WM1 (French and Romanowicz, 2014) and the ultra-low velocity zone. </p>
Geophysical evidence for an active mantle plume underneath Elysium Planitia on Mars
<p>Data files for Broquet & Andrews-Hanna, Geophysical evidence for an active mantle plume underneath Elysium Planitia on Mars, <em>Nature Astronomy</em>.</p> <p>Some relevant model results shown in Figures 2C and D, and 5A, B, and C.</p>
Effect of iron content on thermal conductivity of ferropericlase: implications for planetary mantle dynamics
<p>Dataset for the article "Effect of iron content on thermal conductivity of ferropericlase: implications for planetary mantle dynamics".</p> <p>by Youyue Zhang, Takashi Yoshino, Masahiro Osako, submitted to Journal of Geophysical Research: Solid Earth.</p>
Uranium-series disequilibria in MORB, revisited: A systematic numerical approach to partial melting of a heterogeneous mantle
<p><span>This directory includes all of the gridded run results for each melting scenario for this paper, organized into approx. 50 supplementary figures with a series of activity ratio diagrams.</span></p>
Table S1 for "Lowermost mantle anisotropy beneath Africa from differential SKS-SKKS shear-wave splitting"
<p>SKS-SKKS measurements per station and per event. We provide details in the following order: station, network, station latitude, station longitude, event date, event time, event latitude, event longitude, event depth, event magnitude, distance, backazimuth, misalignment correction value, phi, dt, min. phi error, max. phi error, min. dt error, max. dt error, splitting intensity, min. splitting intensity error, max. splitting intensity error, category (SplitRacer), individual category, category for pair. Values for field ‘category(SplitRacer)’ are based on SplitRacer’s quality criteria: good, average, null-measurement, with our addition of the category ‘fair null-measurement’ for nulls which are slightly noisy. In general, these categories are selected by the user on the basis of the noise level of the traces, the amount of energy reduction, splitting intensity value (and errors), visual comparison of the time derivative radial component to the transverse component, scatter in the histogram over the used time windows and the size of 95% confidence level The selection of final usable events was then based on the width of the 95% confidence level. The field ‘Individual category’ has the following values: 0=null-measurement; 1=very good (phi error < 30°; dt error 0.75 s); 2= good (phi error >30°; < 60°, dt error > 0.75 s; <1.55 s), 3= fair (error bars larger than category 2 but clear splitting and the other phase of the same event is a category 1). Categories for pairs are: 0 = both phases are null-measurements; 1= both phases have an individual category of 1, individual categories of 1 & 2, or one phase is null while the other is an individual category 1; 2= both phases have an individual category of 2 or one phase is null while the other is an individual category 2 measurement or one phase is an individual category 1 measurement while the other is an individual category 3 measurement (the latter only applies to 30 pairs in total).</p>
Geochemical evidence for high volatile fluxes from the mantle at the end of the Archean: Sample data
<p>This file describes the origin of samples and gives the original xenon data published in refs. 4, 5 and 8. The slopes of the fractionation lines are given in refs. 8 (Table S1), 5 (Tables 1 and S1) and 4 (Table S1). For the barite sample (Ref. 6, Table 1), Xe data were normalized to 132Xe since 130Xe could have been contributed by radioactivity products. In this case Δ129Xe was computed from 128Xe and 131,132Xe data. The Δ129Xe values were computed from the difference between the isotope fractionation slope (‰/u) and the 129Xe/130Xe values in deviation permil (‰) relative to the corresponding atmospheric isotope composition.</p>
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.