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5,371 results for “Flow”
A gravity current flows over a wind farm in complex terrain
<p>A gravity current simulated with the Weather Research and Forecasting model flows over topography where a wind farm is located. It produces a nocturnal jet and downstream flow acceleration that enhances the performances of turbines in the back rows. This simulation is related to case 3 (transect 3) of the paper <em>Nocturnal jets over wind farms in complex terrain </em>that will be submitted to <em>Applied Energy.</em></p>
Visual pursuit behavior in mice maintains the pursued prey on the retinal region with least optic flow
<p>Mice have a large visual field that is constantly stabilized by vestibular ocular reflex (VOR) driven eye rotations that counter head-rotations. While maintaining their extensive visual coverage is advantageous for predator detection, mice also track and capture prey using vision. However, in the freely moving animal quantifying object location in the field of view is challenging. Here, we developed a method to digitally reconstruct and quantify the visual scene of freely moving mice performing a visually based prey capture task. By isolating the visual sense and combining a mouse eye optic model with the head and eye rotations, the detailed reconstruction of the digital environment and retinal features were projected onto the corneal surface for comparison, and updated throughout the behavior. By quantifying the spatial location of objects in the visual scene and their motion throughout the behavior, we show that the prey image consistently falls within a small area of the VOR-stabilized visual field. This functional focus coincides with the region of minimal optic flow in the visual field and consequently minimal motion-induced image blur during pursuit. The functional focus lies in the upper-temporal part of the retina and coincides with the reported high density-region of Alpha-ON<sub> </sub>sustained retinal ganglion cells.</p>
A Stop-Flow Sample Delivery System for Transient Spectroscopy
<p>data supporting: "A Stop-Flow Sample Delivery System for Transient Spectroscopy"; Reviews of Scientific Instruments, 2021</p>
Data used for the Master Thesis "Multi Modal Generative Learning utilizing Normalizing Flows"
<p>Dataset needed to reproduce the Master Thesis "Multi Modal Generative Learning utilizing Normalizing Flows".</p> <p>It contains trained models and their evaluation results.</p> <p>For more details see the <a href="https://github.com/Jimmy2027/MMNF_RepSeP">github repository</a>.</p>
Figure 1. Flow chart of the stages followed in the bibliographic search.
<p>Figure 1. <em>Flow chart of the stages followed in the bibliographic search.</em></p>
Nonsmooth simulations of 3D Drucker-Prager granular flows and validation against experimental column collapses
<p> </p> <p># About</p> <p>This archive aims to reproduce the results of the article entitled: "***Nonsmooth simulations of 3D Drucker-Prager granular flows and validation against experimental column collapses***" *by Gauthier Rousseau, Thibaut Métivet, Hugo Rousseau, Gilles Daviet, and Florence Bertails-Descoubes*</p> <p> </p> <p>## Contents</p> <p> </p> <p>- The experimental data: raw videos, experimental information, velocity and profiles</p> <p>- The `sand6py` code which is a fork of [Daviet PhD][1] `sand6` code including [diphasic feature][2] and other new features developed for the paper (collapses scenarios with frictional door, hysteresis, python binding with `pybind11`)</p> <p>- Python scripts:</p> <p>- for performing velocimetry measurements</p> <p>- for running the `sand6` 3D simulations of granular column collapses</p> <p>- for plotting paper figures</p> <p><br> </p> <p>The git repository corresponding to `sand6py` is available on [https://gitlab.com/groussea/sand6py](https://gitlab.com/groussea/sand6py)</p> <p> </p> <p>A maintained version of sand6 is available on [https://gitlab.inria.fr/elan-public-code/sand6](https://gitlab.inria.fr/elan-public-code/sand6)</p> <p> </p> <p>## Figures</p> <p> </p> <p>the figures of the article are reproducible from the python scripts in the `python/figurejfm` path</p> <p> </p> <p>python dependencies are `matplotlib opencv jupyter vtk h5py tqdm scikit-image opyf`</p> <p> </p> <p>You may obtain all the required dependencies in a convenient conda environment using the following command line in your terminal:</p> <p> </p> <p>```shell</p> <p>conda create --channel conda-forge -n sand6env python=3.9 matplotlib opencv jupyter vtk h5py tqdm scikit-image</p> <p> </p> <p>conda activate sand6env</p> <p>```</p> <p> </p> <p>Corresponding e-mail: gauthier.rousseau@gmail.com</p> <p> </p> <p>[1]: tel.archives-ouvertes.fr/tel-01684673 "*Modeling and simulating complex materials subject to frictional contact: Application to fibrous and granular media*. Diss. Ph. D. Dissertation. Université Grenoble Alpes. , 2016"</p> <p>[2]: https://hal.inria.fr/hal-01458951 "Simulation of Drucker–Prager granular flows inside Newtonian fluids"</p> <p> </p>
BIOnTop project components and information flow
<p>The project components pictured in a diagram. BIOnTOP project will deliver recyclable-by-design cost competitive packaging solutions that can be mechanically recycled, industrially/home composted or even suitable for anaerobic digestion.</p>
Data supplement for: Validating the Nernst--Planck transport model under reaction-driven flow conditions using RetroPy v1.0
<p>This is the repository for the publication's supplementary data and plotting scripts: Validating the Nernst–Planck transport model under reaction-driven flow conditions using RetroPy v1.0.</p> <p>The dependency of the scripts can be installed using conda and pip:</p> <pre><code>conda create -n plot numpy matplotlib==3.6.1 h5py python=3.9 conda activate plot pip install palettable</code></pre> <p>To reproduce the figures, execute the files using python:</p> <pre><code>python figure03.py</code></pre> <p> </p>
Mental comparison of 3D objects is based on 2D optical flow computations: human data
<p>Human behavioural data for manuscript:</p> <p><strong>Mental comparison of 3D objects is based on 2D optical flow computations.</strong></p>
Wave generation by fluidized granular flows: experimental insights into the maximum near-field wave amplitude
<p><strong>Data set for experimental videos modelling the entrance of a fluidised granular flow into the water.</strong></p> <p>The data set includes:</p> <ul> <li>Impact parameters of the fluidised granular flows: mass of the flow, thickness and velocity on the inclined plane. </li> <li>Nondimensional parameters of the flows: impact Froude number, nondimensional thickness and nondimensional mass of the flow.</li> <li>Surface elevation data for all the experiments measured at four positions from the shoreline.</li> <li>Maximum amplitudes of the generated waves. </li> </ul>
Compressible flow over the SHM1 airfoil.
<p>Contours of the instantaneous magnitude of density gradient on the top visualize compressible flow over the SHM1 airfoil. The instantaneous density field and wall pressure coefficient distribution are shown in the bottom left and right frames, respectively. The time-averaged Cp is obtained between t=20 and t=60 with a sampling rate of 0.05 and is compared with experimental data Fujino et al. 2003. The NOHAP closure is used at the processor boundaries to evaluate derivatives in the convective flux terms. Solid black lines in the top and bottom left frames indicate the sub-domain boundary.</p>
Flow-to-fracture transition of linear Maxwell-type vs. yield strength fluids by air injection – implications for magma fracturing
<p>Datasets for Sánchez et al., Flow-to-fracture transition of linear Maxwell-type vs. yield strength fluids by air injection – implications for magma fracturing, accepted on Dec 16, 2022, in Geophysical Research Letters.</p>
Code and data from: Influence of heat transfer and wetting angle on condensable fluid flow through nanoporous anodic alumina membranes
<p>Data and matlab code to compute all figures contained in a manuscript submitted to the linked journal.</p>
Quantifying flow velocities in river deltas via remotely sensed suspended sediment concentration
<p><strong>bathymetry and model velocity field</strong></p>
CAD files of the spirally shaped chemiluminescence flow cells with distinct cross-sectional geometries and confluence types
<p>CAD files of (i) 3D-printed chemiluminescence flow-through cells with triangular, circular, semicircular, square and irregular pentagonal cross-section geometries, (ii) serpentine mixing coil, and (iii) T, Y and Y'-junction formats (in STL format, ready to print) associated to Figures 1, 2 and S1 of the paper "3D-printed chemiluminescence flow cells with customized cross-section geometry for enhances analytical performance" published in Talanta 2023 (DOI:10.1016/j.talanta.2022.124211)</p>
Data set for phase-field simulation of epitaxial crystal growth in open fractures with lateral flow
<p>The numerical data in this repository consists of the simulation data of epitaxial crystal growth in open fractures with lateral flow. The simulations were performed using the software package named "Pace3D".</p> <p>The simulation data shows the grain structure, the concentration field and the fluid flow velocity in stream direction (if present) at intermediate stages. It was converted from the Pace3D output data format to VTK data format. The VTK files can be visualized using open source software packages like Paraview. For visualization the data has to be decompressed (e.g. with gzip, 7zip).</p>
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: Tracing the origin of Oriental beech stands across Western Europe and reporting hybridization with European beech – implications for assisted gene flow
<p>The benefits and risks of human-aided translocation of individuals within the species range, assisted gene flow (AGF), depend on the genetic divergence, on the rate and direction of hybridization, and on the climate transfer distance between the host and donor populations. In this study, we explored the use of Oriental beech (<em>Fagus</em> <em>sylvatica</em> subsp. <em>orientalis</em>), growing from Iran to the Balkans, for AGF into European beech populations (<em>F</em>. <em>sylvatica</em> subsp. <em>Sylvatica</em>) that increasingly suffer from climate warming. Using samples from natural populations of Oriental and European beech and microsatellite loci, we identified 5 distinct genetic clusters in Oriental beech with a divergence (FST) of 0.15 to 0.25 from European beech. Using this knowledge, we traced the origin of 11 Oriental beech stands in Western Europe established during the 20<sup>th</sup> century. In two stands of Greater Caucasus origin, we found evidence for extensive hybridization, with 18% and 41% of the seedlings having hybrid status. Climate data revealed higher seasonality with warmer and drier summers across the native Oriental beech sites in comparison to the planting sites in Western Europe. Accordingly, we found that bud burst of Oriental beech occurred four days earlier than in European beech. Overall, our results suggest that AGF of Oriental beech could increase the genetic diversity of European beech stands and may foster introgression of variants adapted to expected future climatic conditions. Our study showcases the evaluation of the benefits and risks of AGF and call for similar studies on other native tree species.</p>
Supplementary Materials for "Temperature field, flow field and temporal fluctuations thereof 2 in ammonothermal growth of bulk GaN – transition from dis-3 solution stage to growth stage conditions"
<p>Video S1: dissolution stage (upper part of nutrient and above), Video S2: 630 dissolution stage (baffle region), Video S3: dissolution stage (top seed), Video S4: dissolution stage 631 (middle seed), Video S5: dissolution stage (bottom seed), Video S6: growth stage (upper part of 632 nutrient and above), Video S7: growth stage (baffle region), Video S8: growth stage (top seed), Video 633 S9: growth stage (middle seed), Video S10: growth stage (bottom seed).</p>
Modeling water flow and solute transport in unsaturated soils using physics-informed neural networks trained with geoelectrical data
<p>Numerical codes and results for the article: Modeling water flow and solute transport in unsaturated soils using physics-informed neural networks trained with geoelectrical data</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.