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36 results for “particle flow”
Experimental datasets for investigation of threshold of motion of coral debris particles under steady unidirectional flow
<p>The datasets for the following mansucript:</p> <p><span>A Comprehensive Criterion for Threshold of Motion of Bioclastic Sediments under Steady Unidirectional Flow</span></p>
Dataset used for "End-to-end simulation of particle physics events with Flow Matching and generator Oversampling" , https://arxiv.org/abs/2402.13684
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Animations depicting 2D prescribed-flow particle-based simulations described in arxiv.org:2308.05015
<p>File names contain the follwing information:</p> <ul> <li>singular=True or singular=False - setting controlling the type of immersion freezing parameterization</li> <li>seed=0 - value of the random seed used</li> <li>rhod_w_max=value - value of the amplitude of the prescribed-flow eddy stream function (dimension of density times velocity in SI units)</li> <li>"cld" or "ice" - set of variables plotted (either those pertinent to cloud water or ice water) </li> </ul>
Data From: Active sinking particles: Flow and transport dynamics due to sessile suspension feeders on sinking aggregates
<p>Sinking or sedimentation of biological aggregates plays a critical role in carbon sequestration in the ocean and in vertical material fluxes in waste-water treatment plants. In both these contexts, the sinking aggregates are "active," since they are biological hot-spots and are densely colonized by microorganisms including bacteria and sessile protists, some of which generate feeding currents. However, the effect of these feeding currents on the sinking rates, trajectories, and mass transfer to these "active sinking particles," has not previously been studied. Here we use a novel scale-free vertical-tracking microscope (a.k.a. Gravity Machine, Krishnamurthy et al. "Scale-free vertical tracking microscopy." Nature Methods (2020)) to follow model sinking aggregates (agar spheres) with attached protists (<em>Vorticella convallaria</em>), sinking over long distances while simultaneously measuring local flows. We find that activity due to attached \vortc causes significant changes to the flow around aggregates in a dynamic manner and reshapes mass transport boundary layers. Furthermore, we find that activity-mediated local flows along with sinking modify the encounter and plume cross-sections of the aggregate and induce sustained aggregate rotations. Overall our work shows the important role of biological activity in shaping the near-field flows around aggregates with potentially important effects on aggregate fate and material fluxes.</p>
Data From: Active sinking particles: Flow and transport dynamics due to sessile suspension feeders on sinking aggregates
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Lagrangian particle dataset (2 years) for Agulhas region surface flow
<p>This is a .npz file containing the longitudes and latitudes of approximately 24,000 virtual Lagrangian particles (0.2 degree in longitude and latitude initial spacing) released on January 5, 2000 in the eastern South Atlantic Ocean and advected for 2 years. The data was used for the detection of finite-time coherent sets (Agulhas rings), see this <a href="https://github.com/OceanParcels/coherent_vortices_OPTICS">github repository</a> for the usage and this <a href="https://github.com/OceanParcels/near_surface_microplastic">github repository</a> for simulation details. Trajectories were simulated using OceanParcels (https://oceanparcels.org/), with surface currents derived from a NEMO-ORCA 006 run, available at http://opendap4gws.jasmin.ac.uk/thredds/nemo/root/catalog.html.</p>
Response of flow and saltating particle characteristics to bed roughness and particle spatial density
<p>The data were used in the paper "Response of flow and saltating particle characteristics to bed roughness and particle spatial density" which was submitted to "Journal of Geophysical Research-Earth Surface". In this paper, the effects of bed roughness and particle spatial density on the bedload transport are investigated by numerical simulations. The distributions of key parameters for saltation, including their changes, are assessed using the PDF curves. It is found that bed roughness is likely composed of particles of equivalent size for fine particles.</p>
Data from: Force and torque on spherical particles in micro-channel flows using computational fluid dynamics
To delineate the influence of hemodynamic force on cell adhesion processes, model in vitro fluidic assays that mimic physiological conditions are commonly employed. Herein, we offer a framework for solution of the three-dimensional Navier–Stokes equations using computational fluid dynamics (CFD) to estimate the forces resulting from fluid flow near a plane acting on a sphere that is either stationary or in free flow, and we compare these results to a widely used theoretical model that assumes Stokes flow with a constant shear rate. We find that while the full three-dimensional solutions using a parabolic velocity profile in CFD simulations yield similar translational velocities to those predicted by the theoretical method, the CFD approach results in approximately 50% larger rotational velocities over the wall shear stress range of 0.1–5.0 dynes cm−2. This leads to an approximately 25% difference in force and torque calculations between the two methods. When compared with experimental measurements of translational and rotational velocities of microspheres or cells perfused in microfluidic channels, the CFD simulations yield significantly less error. We propose that CFD modelling can provide better estimations of hemodynamic force levels acting on perfused microspheres and cells in flow fields through microfluidic devices used for cell adhesion dynamics analysis.
Data for "Modelling the dense granular flow rheology of particles with different surface friction: implications for geophysical mass flows"
<p>Data and codes needed to replicate all figures in the paper.</p>
Cross flow ultrafiltration of standard polystyrene particles
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Supporting data for Liquid fragmentation induced by particle aggregation during two-phase flow in 3D porous media
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Data from: Force and torque on spherical particles in micro-channel flows using computational fluid dynamics
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A verified open-access AI-based chemical microparticle image database for in-situ particle visualization and quantification in multi-phase flow
<p>This report provided a new method and idea for the detection, segmentation, classification, and quantitative analysis of four dispersed phase particles - "DPPs" (agglomeration, bubble, crystal, and droplet) in chemical multi-phase flow processes.</p>
Short-term Embolization Using Gelatin Particles for FloW ModulAtion During Y90 Radioembolization
ClinicalTrials.gov study NCT06229080. IPD Sharing: NO. Countries: 1. Publications: 0.
SuperDARN data for manuscript "Multi-instrument observations of the evolution of polar cap patches associated with flow shears and particle precipitation"
<p>SuperDARN在14年15月12日2015-<> UT期间的电离层对流数据。</p>
Dataset for Role of Initial Particle Deposition in Dataset for Collapse Dynamics and Deposition Morphology of Submarine Granular Flows using CFD-DEM Coupling Method
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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)
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.