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2,271 results for “transporte”
DFT-based Phonon-computations for "Considering the Role of Ion Transport in Diffuson-Dominated Thermal Conductivity"
<p>These are the harmonic phonon and Grüneisen parameter computations for the publication "Considering the Role of Ion Transport in DiffusonDominated Thermal Conductivity". VASP and Phonopy outputs are included in this data set.</p>
Figure source data for 'Coherent spin-wave transport in an antiferromagnet'
<p>This repository contains figure source data for 'Coherent spin-wave transport in an antiferromagnet'</p> <p> </p> <p><strong>Contents</strong></p> <p><em>Figure 1:</em></p> <p>(a) optical absorption DyFeO3 for different photon energies: 1a_absorption.txt</p> <p>(b) Penetration depth for different photon energies: 1a_penetetrationdepth.txt</p> <p>(c) Time-resolved polarization rotation for transmission and reflection geometries: 1c_time-resolved.txt</p> <p>Fourier amplitude spectra for different geometrie: 1c_FourierInsets</p> <p><em>Figure 2:</em></p> <p>(b) Extracted oscillation frequencies as function of temperature: 2b_frequencies.txt</p> <p><em>Figure 3</em></p> <p>(a) Time-resolved polarization rotation for different photon energies (folder figure3a)</p> <p>(b) Amplitude spectra of the time-resolved polarization rotation for different photon energies (folder figure3b)</p> <p>(c) Amplitude vs penetration depth: 3c.txt</p> <p><em>Figure 4</em></p> <p>(a) Time- and space dependent amplitude: 4a.txt</p> <p>(b) Fourier spectra for different incidence angles + data-inset: 4b.txt</p> <p>(c) Fourier spectra for different probe wavelengths: 4c.txt</p> <p>(d) Extracted central frequencies and calculated group velocity for different wavenumbers: 4de.txt</p> <p> </p> <p>. </p>
Identifying contributors to PM2.5 simulation biases of chemical transport model using fully connected neural networks
<p>The processed data and codes in the study are included. </p> <p><strong>Source data:</strong></p> <p>The training and testing dataset is composed of observed and simulated data of pollutants and meteorology in the BTH and YRD regions in the whole year of 2015. The processed datasets used for training are named as "dataset_BTH" and "dataset_YRD" in the folder.</p> <ul> <li><em>The hourly observed pollution data</em> are from China National Urban Air Quality Real-time Release Platform of the National Environmental Monitoring Station</li> <li><em>The hourly simulated pollutants data</em> comes from the output of WRF-CMAQv5.2 (spatial resolution of 27 km).</li> <li><em>Meteorological observation data</em> is provided by China Meteorological Data Service Centre</li> <li><em>The meteorological simulation data</em> comes from the simulation results of the WRF model</li> </ul> <p><strong>Codes:</strong></p> <ul> <li>preprocessing of raw CMAQ data, observed pollution data and meteorological data</li> <li>bulid and train process of fully connected neural networks</li> <li>calculation of correlation between variables</li> <li>feature selection method</li> <li>contribution analysis</li> </ul>
All raw data for the transport part of 'In-plane selective area InSb-Al nanowire quantum networks'
<p>This folder contains all the raw data gathered on the devices used in the transport part of the paper "In-plane selective area InSb–Al nanowire quantum networks" https://doi.org/10.1038/s42005-020-0324-4.</p>
Safe traveling in public transport amid COVID-19
<p>Several intense policies, such as mandatorily wearing masks and practicing social distancing, have been implemented in South Korea to prevent the spread of the novel coronavirus disease (COVID-19). In this study, we analyzed and measured the impact of the aforementioned policies by calculating the degree of infection exposure in public transportation. Specifically, we simulated how passengers encounter and infect each other during their journeys in public transportation by tracking movements of passengers. The probabilities of exposure to infections in public transportation were compared via a combination of the aforementioned policies by using the SEIR model, a respiratory infectious disease diffusion model. We determined that the mandatorily wearing of masks exhibits similar effects to maintaining social distancing 2 m in preventing COVID-19. During peak hours, in the cases of mandatorily wearing and practicing social distancing with masks, the reduction in infection rates corresponded to 93.5% and 98.1%, respectively.</p>
Gone in 60 Nanoseconds: Transient Light Transport in Cornell Box
<p>Transient light transport in the Cornell Box using transient photon map in RADIANCE. The existing kd-tree data structure to store the photons was extended to 4D, with the photons' time-of-flight as fourth dimension. This simple example demonstrates one aspect of transient rendering that is lost in steady state lighting: it reveals fleeting phenomena that (mostly) disappear when lighting reaches equilibrium. Note the strong colour bleeding on the central white wall from the 1st bounce off the flanking red and blue walls (see t=3.0 nsec). This effect is neutralised by secondary interreflections, and barely noticeable in steady state. This example also demonstrates the current prototype's limitations; transient rendering is limited to diffuse surfaces (note the steady-state specular reflections on the dielectric sphere), and the speed of light is assumed to be constant, i.e. independent of the index of refraction.</p>
Gone in 60 Nanoseconds: Transient Light Transport in Villa Müller
<p>Simulation of transient light transport in a model of the Villa Müller in Prague. This used 200M transient photons and spans 100nsec. The building is shown as two cross-sectional views as seen facing northwest and southeast. This visualisation reveals many transient phenomena, including prominent colour bleeding and specular reflections from the red marble floor in the dining hall and dining room, some of which ripples back upstairs from this area. In addition, there is diffuse interreflection between adjacent walls in the upper stairwell, which cast shadows revealing the handrails.</p>
Data for the paper: "Formation and new Transport pathways of the Global Tropopause Dust Layer"
<p>Model simulation output used for "Formation and new Transport pathways of the Global Tropopause Dust Layer" submitted to Geophysical Research Letters (GRL).</p>
MITgcm 2.8deg Transport Matrix configuration
<p>This repository contains transport matrices and associated data for the MITgcm 2.8deg configuration. For the most recent version of these files go to: http://kelvin.earth.ox.ac.uk/spk/Research/TMM/TransportMatrixConfigs/. The Transport Matrix Method driver code is available from https://github.com/samarkhatiwala/tmm.</p>
Energy Harvesting for Self-Powered Sensors for Smart Transportation Infrastructure
<p>This research aims to develop an innovative approach for energy harvesting from transportation infrastructures and demonstrate the feasibility of the approach through laboratory testing and field demonstration. The proposed innovative approach of energy harvesting, termed as electromagnetic energy harvesting system (EMEHSs), can be used to power wireless sensors commonly used for health monitoring of bridges. This EMEHS has expected to be simple, but effective in harvesting kinetic energy and converting it to electric power for wireless sensors. Practical and economic feasibility and field implementation of the device on a bridge will also be investigated in this work. Based on detailed numerical simulations and modeling, a larger-scale device will be first tested in the laboratory and then will be installed on a bridge to demonstrate the technology and its effectiveness in powering typical health monitoring sensors.</p>
Water "Pump" in the Atmosphere of Mars: Modeling Vertical Transport to the Thermosphere
<p>Recent studies link the observed hydrogen escape in the Martian thermosphere to the water of lower atmospheric origin. However, the cold mesosphere hinders penetration of vapor into the upper atmosphere. We present results of simulations with the Max Planck Institute general circulation model (MPI-MGCM) implementing a state-of-the-art hydrological cycle scheme. The simulations reveal a seasonal water ``pump” mechanism responsible for the upward transport of vapor. It takes place in high latitudes of the southern hemisphere at perihelion, when the upward branch of the meridional circulation is particular strong. A combination of the mean vertical flux with variations induced by solar tides facilitates penetration of water across the “bottleneck” at approximately 60 km. The meridional circulation then transports water across the globe to the northern hemisphere. Since the intensity of the meridional cell is tightly controlled by airborne dust, the water abundance in the thermosphere strongly increases during dust storms.</p>
Structural basis for lipid and copper regulation of the ABC transporter MsbA
<p>Raw native MS data for manuscript</p>
CRM Variance Transport validation in E3SM-MMF - analysis code and condensed data
<p>This tarball contains a collection of code and data used to performa a detailed analysis of the CRM variance transport feature added to E3SM-MMF. The data subset is condensed from the model output and observational datasets, so the ability to reproduce results directly is limited, but this archive mainly serves to document the methods used for our analysis. </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>
In silico analysis of the structural dynamics and substrate recognition determinants of the human mitochondrial carnitine/acylcarnitine SLC25A20 transporter
<p>Structural models and MD trajectories analyzed in the original article "In silico analysis of the structural dynamics and substrate recognition determinants of the human mitochondrial carnitine/acylcarnitine SLC25A20 transporter". Topologies and trajectories were stripped of the water molecules.</p> <p>- "alphafold2" contains the c-state and m-state models obtained with alphafold2 and colabfold_advanced, respectively;</p> <p>- "slc25a20_cstate" contains the parameter/topology file (slc25a20_cstate_nowat.parm7), the MD simulations of the c-model of the slc25a20 apo protein (prod1_nowat_skip10.nc, prod2_nowat_skip10.nc), and the representative structure used to analyzed the transmembrane helices (cstate1.pdb);</p> <p>- "slc25a20_mstate" contains the parameter/topology file (slc25a20_mstate_nowat.parm7), the MD simulations of the m-state model of the slc25a20 apo protein (prod1_nowat_skip10.nc, prod2_nowat_skip10.nc), and the representative structure used to analyzed the transmembrane helices (cstate2.pdb);</p> <p>- "slc25a20_car" contains the parameter/topology file (slc25a20_carn_nowat.parm7, slc25a20_carn2_nowat.parm7), the MD simulations of the slc25a20-carnitine complex (prod1_nowat_skip2.nc, prod2_nowat_skip2.nc), and a representative structure (snapshot_slc25a20-car.pdb);</p> <p>- "slc25a20_pcar" contains the parameter/topology file (slc25a20_pcarn_nowat.parm7, slc25a20_pcarn2_nowat.parm7), the MD simulations of the slc25a20-propionylcarnitine complex (prod1_nowat_skip2.nc, prod2_nowat_skip2.nc), and a representative structure (snapshot_slc25a20-pcar.pdb).</p> <p>If you include these data in your manuscript, please cite: Pasquadibisceglie A, Quadrotta V and Polticelli F "In silico analysis of the structural dynamics and substrate recognition determinants of the human mitochondrial carnitine/acylcarnitine SLC25A20 transporter"</p>
Performance Evaluation of SARS-CoV-2 Viral Transport Medium Produced by Bangladesh Reference Institute for Chemical Measurements
<p>Supplementary Table S1: Stability study design of BRiCM VTM<br> Supplementary Table S2: Stability study result of BRiCM VTM</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>
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>
Replication data for: Spatiotemporal Bedload Transport Patterns Over Two-Dimensional Bedforms
<p>Sediment transport images and Acoustic Doppler Velocitmetry data files associated with the manuscript "Spatiotemporal Bedload Transport Patterns Over Two-Dimensional Bedforms"</p> <p>Authors: Kate Potter Leary, Leah Tevis, and Mark Schmeeckle</p>
Data for Sleep cycle-dependent vascular dynamics and the predicted effects on perivascular cerebrospinal fluid flow and solute transport
<p>Datasets containing derived data and results used by code in: https://github.com/AlexandraVallet/PVSflow for "Sleep cycle-dependent vascular dynamics and the predicted effects on perivascular cerebrospinal fluid flow and solute transport", Bojarskaite et al. 2023. Please see github for instructions. </p>
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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.