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245 results for “SPHERE”
Reproduction package for the paper "Disk Evolution Study Through Imaging of Nearby Young Stars (DESTINYS): The SPHERE view of the Orion star-forming region"
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LAMMPS output from creep simulation of silica sphere caps with water
<p>Results from creep simulation of silica sphere caps, passivated with hydroxy groups and with water filling the void.</p> <p>38 nanoseconds of data.</p> <p>This description will be updated with a github repo and more information when possible.</p>
LAMMPS output from creep simulation of silica sphere caps, asymmetric system with tdamp=1
<p>Results from creep simulation of silica sphere caps.</p> <p>200 nanoseconds of data.</p> <p>This description will be updated with a github repo and more information when possible.</p>
LAMMPS output from creep simulation of silica sphere caps, symmetric system with tdamp=5
<p>Results from creep simulation of silica sphere caps.</p> <p>200 nanoseconds of data.</p> <p>This description will be updated with a github repo and more information when possible.</p>
LAMMPS output from creep simulation of silica sphere caps
<p>Results from creep simulation of silica sphere caps.</p> <p>1 microsecond of data.</p> <p>This description will be updated with a github repo and more information when possible.</p>
MESA input/output for Evolutionary and Observational Consequences of Dyson Sphere Feedback
<p>MESA inlists, extras, and output for <a href="https://iopscience.iop.org/article/10.3847/1538-4357/ac3421">Evolutionary and Observational Consequences of Dyson Sphere Feedback,</a> published in the Astrophysical Journal, 2022.</p> <p>Paper DOI: 10.3847/1538-4357/ac3421</p> <p>Files included for Irradiated star experiments (recreating the work of Tout et al. (1989) in MESA) in irradiatedstar.zip:</p> <ul> <li>src/ <ul> <li>run_star_extras.f: MESA extension allowing for a constant temperature bath to irradiate a star.</li> </ul> </li> <li>inlists/ <ul> <li>inlist_zams: Create a zero age main sequence star.</li> <li>inlist_irrad_tams: Evolve a star from ZAMS to TAMS in a constant temperature irradiation bath.</li> <li>inlist_irrad_hefl: Attempt to evolve a star from TAMS to the helium flash in a constant temperature irradiation bath. Note: This model crashes before the helium flash for many parameter choices.</li> </ul> </li> <li>plots/ <ul> <li>tout_recreation_plot.ipynb: Python Jupyter notebook for generating the Figure 1 in the paper.</li> <li>lifetimes.pdf: My MESA recreation of Figure 5 from Tout et al. (1989).</li> </ul> </li> <li>LOGS/ <ul> <li>*_history: MESA output for the evolution of a given stellar mass to a given age in a given temperature bath.</li> </ul> </li> </ul> <p>Files included for Dyson Sphere Feedback experiments in dsfeedback.zip:</p> <ul> <li>src/ <ul> <li>run_star_extras.f: MESA extension allowing for a fraction of a star's luminosity to be dumped back onto the outer layer as extra heat.</li> </ul> </li> <li>inlists/ <ul> <li>inlist_sphere_tams: Evolve a selected model to the end of the main sequence with a given DS feedback fraction.</li> <li>inlist_zams: Create a zero age main sequence star.</li> <li>inlist_zams_lowmass: Create a zero age main sequence star with a timestep limit that helps with lower mass stars.</li> <li>inlist_zamstoage: Evolve a star normally from ZAMS to a selected age (0.6Gyr used here for 2Msun).</li> <li>inlist_zamstosolarage: Evolve a star normally from ZAMS to 4.6 Gyr (used before DS application for 1Msun and lower stars).</li> </ul> </li> <li>plots/ <ul> <li>ds_feedback_plots.ipynb: Python Jupyter notebook for generating the figures 2-9 in the paper.</li> <li>newplots/*: Plots generated from the notebook</li> </ul> </li> <li>LOGS/ <ul> <li>*_history: MESA output for the evolution of a given stellar mass, to a given age, and DS feedback level</li> <li>*_profile: MESA output for the structure of a given stellar mass, at one given age, and DS feedback level</li> </ul> </li> </ul> <p>Email me at mhuston@berkeley.edu if you have any comments or questions!</p> <p>MESA version: 12778</p> <p>MESA SDK version: x86_64-macos-20.4.1</p>
Angular distribution of photodesorbed gas from random sphere packings
<p>This folder contains output obtained by simulating trajectories of photodesorbed trace particles in computer-generated random sphere packings.<br> This initial direction of photodesorbed gas, described here as a function of solar incidence angle of a surface element of regolith, <br> is expected to enable higher-fidelity models of surface-bounded exospheres in the solar system (e.g., Moon, Mercury, and other "airless" bodies covered by regolith), where, because of the lack of collisions in vacuum, it is important to accurately prescribe the exit angle distribution of gas from regolith. </p>
Artificial Sphere Clusters Transported on a Conveyor Belt Simulated by a Discrete Element Method
<p>This data set comprises sphere clusters that model particles of construction and demolition waste consisting of brick and sand lime brick while they were transported on a conveyor belt. The motion behavior of the sphere clusters was obtained by a discrete element method (DEM) model of the small-scale optical belt sorter Tablesort.</p> <p>The files contain mid-points, radii, and classes of spheres that build sphere clusters, with each cluster modeling a<br> particle. Input images are generated by rendering the sphere clusters in the camera field of view of the simulated area-scan camera. The particles have diameters from 4 to 8 mm. The simulated mass flows were 70 g per s for sand-lime brick and 30 g per s for brick. The belt velocity is approximately 1.1 m per s. Data is recorded at 2000 fps and covers a simulated time period of 120 s.</p> <p>A detailed description of the DEM model can be found in</p> <ul> <li>Albert Bauer, Georg Maier, Marcel Reith-Braun, Harald Kruggel-Emden, Florian Pfaff, Robin Gruna, Uwe Hanebeck, Thomas Längle,<br> <strong>Towards a Feed Material Adaptive Optical Belt Sorter: A Simulation Study Utilizing a DEM-CFD Approach</strong>, Powder Technology, October 2022.</li> </ul> <p> A thorough description of the Tablesort system can be found in</p> <ul> <li><em>Georg Maier, Florian Pfaff, Christoph Pieper, Robin Gruna, Benjamin Noack, Harald Kruggel-Emden, Thomas Längle, Uwe D. Hanebeck, Jürgen Beyerer,</em><br> <strong>Experimental Evaluation of a Novel Sensor-Based Sorting Approach Featuring Predictive Real-Time Multiobject Tracking</strong>,<br> Transactions on Industrial Electronics, February 2020.</li> <li>See also the <a href="https://www.iosb.fraunhofer.de/en/projects-and-products/inside-schuettgut.html">project website</a>.</li> </ul> <p>To this date, publications that used this data include</p> <ul> <li> <p><em>Marcel Reith-Braun, Albert Bauer, Maximilian Staab, Florian Pfaff, Georg Maier, Robin Gruna, Thomas L</em><em>ä</em><em>ngle, </em><em>Jü</em><em>rgen Beyerer, Harald Kruggel-Emden</em><em>, and</em><em> Uwe D. Hanebeck,</em><br> <strong>GridSort: Image-based Optical Bulk Material Sorting Using Convolutional LSTMs</strong>,<br> <em>2</em><em>2nd</em><em> IFAC World Congress</em>, Yokohama, Japan, July 2023.</p> </li> </ul> <p>The used CSV format uses semicolons as separators. There is no header. The first three columns correspond to the x-, y-, and z-coordinate of each sphere in meters, with increasing x-coordinate in the transport direction. The fourth column contains the radii in meters, the fifth column the particle class (2 for sand-lime brick and 1 for brick), and the sixth column the particle ids to which the spheres belong. The file name encodes the simulated time in steps of 0.5 ms. Each file contains as many rows as spheres are visible in the respective time step. The field of view of the simulated camera is 0.442 m - 0642 m in the x-direction and 0.005 m - 0.145 m in the y-direction.</p> <p><strong>Acknowledgment</strong></p> <p>The IGF project 20354 N of the research association Forschungs-Gesellschaft Verfahrens-Technik e.V. (GVT) was supported via the AiF in a program to promote the Industrial Community Research and Development (IGF) by the Federal Ministry for Economic Affairs and Climate Action on the basis of a resolution of the German Bundestag.</p>
Rayleigh Inlists and Checkpoints for Effects of Full Sphere Convection On M-Dwarf Dynamo Action, Flux Emergence, and Spin-Down
<p>Input files, checkpoints, and summary data for the three primary Rayleigh global convection simulations highlighted in Bice & Toomre 2023b, <em>Effects of Full Sphere Convection On M-Dwarf Dynamo Action, Flux Emergence, and Spin-Down</em>. </p>
Orientation-dependent propulsion of active Brownian spheres: from self-advection to programmable cluster shapes
<p>Supplemental data for the following manuscript: Stephan Bröker, Jens Bickmann, Michael te Vrugt, Michael E. Cates, Raphael Wittkowski, "Orientation-dependent propulsion of active Brownian spheres: from self-advection to programmable cluster shapes".</p>
Petroglyph on Stone Sphere
National Museum of Costa Rica. Source: Objaverse 1.0 / Sketchfab
QoL and the Emotional-affective Sphere in Rehabilitation Setting During COVID-19 Quarantine
ClinicalTrials.gov study NCT04408196. IPD Sharing: NO. Countries: 1. Publications: 2.
Supporting Parenting at Home: Empowering Rehabilitation Through Engagement (SPHERE)
ClinicalTrials.gov study NCT04656483. IPD Sharing: NO. Countries: 1. Publications: 1.
Stroke Prevention With Hydroxyurea Enabled Through Research and Education (SPHERE)
ClinicalTrials.gov study NCT03948867. IPD Sharing: Not stated. Countries: 2. Publications: 1.
CIRSE Registry for SIR-Spheres Therapy
ClinicalTrials.gov study NCT02305459. IPD Sharing: Not stated. Countries: 1. Publications: 4.
Oral Sphere: Salivary Markers and Food. A Prospective Study in Children Expressing Oral Disorders
ClinicalTrials.gov study NCT01532323. IPD Sharing: Not stated. Countries: 1. Publications: 1.
SPHERE Hypertension Intervention Study
ClinicalTrials.gov study NCT00495833. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Sorafenib and Radioembolization With Sir-Spheres® for the Treatment of Metastatic Ocular Melanoma
ClinicalTrials.gov study NCT01893099. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Study of SIR-Spheres Plus Sorafenib as 1st Line Treatment for Non-resectable Primary Hepatocellular Carcinoma (HCC)
ClinicalTrials.gov study NCT00712790. IPD Sharing: Not stated. Countries: 4. Publications: 1.
CIRSE Registry for SIR-Spheres in France (CIRT-FR)
ClinicalTrials.gov study NCT03256994. IPD Sharing: NO. Countries: 1. Publications: 2.
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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)
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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.