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490 results for “Propagation”
Fig. 1 in Ultrastructure of somatic embryo development and plant propagation for Lachenalia montana
Fig. 1. In vitro plant regeneration from somatic embryos in cell suspension culture of L. montana: A. Production of FEC on solid MS medium plus 35 g L −1, 10 μM 2,4-D and 2 μM TDZ. B. Formation of white and soft embryo stages in MSL after 3 weeks of culture. C. Different developmental stages of somatic embryos on MSL medium plus 1 μM 2,4-D and 0.5 μM TDZ after 6 weeks of culture. D. Proliferation and germination of embryos on MSL containing 0.5 μM 2,4-D and 1 μM TDZ. E. Germination of SEs on MSL plus 1 μM 2,4-D and 2 μM TDZ. F. Germination of clustered SEs in solid MS medium containing 15 g L −1 sucrose and 10 μM PG. G. Germinated SEs on plant induction medium. H and I. Well-developed plantlets from plant induction medium. J. Acclimatized plants of L. montana in the greenhouse after 3 months.
Comparison of atmospheric refractivity estimation methods and their influence on radar wave propagation predictions
<p>Environmental predictions in the marine atmospheric surface layer (MASL) are imperative to optimize X-band radar system performance in marine environments. Evaporation ducts (ED) lead to anomalous propagation where characterization of EDs in the MASL occurs primarily through two methods: <i>in-situ </i>measurements and numerical modeling. This study investigates differences in co-located and synchronous refractivity estimations from the CASPER-East campaign. Propagation predictions are generated for refractive profiles from <i>in-situ </i>measurements, Monin-Obukov boundary layer similarity theory, and numerical weather prediction forecasts. Variations in evaporation duct height (EDH) are found to be a primary driver of differences in propagation between the estimated refractivity profiles, where location of the EDH relative to the transmitter changes the sensitivity of propagation predictions to EDH estimates. Differences in propagation are large when EDH estimates span the transmitter height and the lowest EDH across the methods is small, regardless of how much variation there is in EDH estimates. When the lowest EDH is small and EDH estimates span the transmitter height there are differences in physical regimes causing large propagation discrepancies – e.g., leakage into versus trapping within the duct. Variation in EDH between the methods is greatest in stable environments. M-deficit and curvature of the refractive profiles also influence propagation specifically in scenarios when EDH spans the transmitter. When all EDHs are below the transmitter, EDH variance is the primary contributor to propagation variance, but M-deficit and profile curvature variance play a secondary role. M-deficits and curvature between the methods agree most often during periods of atmospheric stability.</p>
Dataset (part 1) for "Quasilinear diffusion of protons by equatorial magnetosonic waves at quasi-perpendicular propagation"
<p>Dataset (part 1) for "Quasilinear diffusion of protons by equatorial magnetosonic waves at quasi-perpendicular propagation"</p>
Dataset (part 2) for "Quasilinear diffusion of protons by equatorial magnetosonic waves at quasi-perpendicular propagation"
<p>Dataset (part 2) for "Quasilinear diffusion of protons by equatorial magnetosonic waves at quasi-perpendicular propagation"</p>
Seismic wave propagation in partially saturated rocks with a fractal distribution of fluid-patch size
<p>Laboratory experiments on partially saturated rocks show that seismic attenuation can be significant, where the main mechanism is wave-induced local fluid flow (WILFF) due to patchy saturation at different spatial scales. We propose a theory to obtain the seismic properties of partially saturated rocks based on fractal (self-similar) patches, leading to an effective frequency-dependent fluid modulus. The model combines the differential effective medium (DEM) and Biot-Rayleigh theories, where the patches are inclusions incrementally added, such that the effective fluid is assumed the host for the next addition. The analysis shows that the seismic properties are independent on the number of iterations, but depend on the scale range (radius) of the inclusions, fractal dimension <em>D<sub>f</sub></em> of the self-similar distribution, parameter <span class="math-tex">\(\theta\)</span> of the exponential distribution, mean radius <em>r</em><sub>0</sub> and variance <span class="math-tex">\({\sigma_r}^2\)</span> of the Gaussian distribution. Forced-oscillation experiments are performed on a limestone sample under partial water-saturation conditions at seismic frequencies (2-500 Hz), to obtain the velocity dispersion and extensional attenuation. The proposed theory provides a reasonable description of the experimental data and other existing measurements on Berea sandstone and tight carbonates.</p>
Defining objective clusters for rabies virus sequences using affinity propagation clustering
<table> <tbody> <tr> <td>Rabies is caused by lyssaviruses, and is one of the oldest known zoonoses. In recent years, more than 21,000 nucleotide sequences of rabies viruses (RABV), from the prototype species rabies lyssavirus, have been deposited in public databases. Subsequent phylogenetic analyses in combination with metadata suggest geographic distributions of RABV. However, these analyses somewhat experience technical difficulties in defining verifiable criteria for cluster allocations in phylogenetic trees inviting for a more rational approach. Therefore, we applied a relatively new mathematical clustering algorythm named ‘affinity propagation clustering’ (AP) to propose a standardized sub-species classification utilizing full-genome RABV sequences. Because AP has the advantage that it is computationally fast and works for any meaningful measure of similarity between data samples, it has previously been applied successfully in bioinformatics, for analysis of microarray and gene expression data, however, cluster analysis of sequences is still in its infancy. Existing (516) and original (46) full genome RABV sequences were used to demonstrate the application of AP for RABV clustering. On a global scale, AP proposed four clusters, i.e. New World cluster, Arctic/Arctic-like, Cosmopolitan, and Asian as previously assigned by phylogenetic studies. By combining AP with established phylogenetic analyses, it is possible to resolve phylogenetic relationships between verifiably determined clusters and sequences. This workflow will be useful in confirming cluster distributions in a uniform transparent manner, not only for RABV, but also for other comparative sequence analyses.</td> </tr> </tbody> </table>
Simulations scripts for: Strain localization patterns and thrust propagation in 3-D discrete element method (DEM) models of accretionary wedges
<p>High-resolution three-dimensional discrete element method (DEM) simulations of sandbox-scale models of accretionary wedges performed in this study suggest thrusts follow a variety of propagation processes and orientations in the wedges depending on a number of factors including the stage of development of the wedge (precritical vs. critical), basal friction, and type of thrust (forward vs. backward-vergent). In terms of propagation processes, two clear mechanisms are identified. The first involves propagation from the decollement to the wedge top, similar to the standard model of thrust propagation seen in many kinematic models, and in the second, thrusts grow downward from an initial nucleation point just below the top surface of the wedge as well as upward from the decollement joining in the middle. In terms of orientation, forward-vergent thrusts initially form at Roscoe or Arthur orientations, and over shortening, form at Coulomb orientations. To arrive at these results, a wide array of continuum parameters and fields were extracted from the granular assembly of the DEM simulations, including stress, strain, strain rate, kinetic energy, Mohr-Coulomb parameters, and proximity to yielding using the Drucker-Prager criterion to visualize thrust nucleation and propagation. Lastly, the advantages and disadvantages of these continuum proxies for discerning failure in the granular assembly are considered, and the spatial and temporal relationship between proximity to yielding and strain localization (both pre-peak and persistent shear banding) in the granular model of an accretionary wedge is explored.</p>
Datasets of "Modified propagation of gravitational waves from the early radiation era"
<p>This directory contains an index.html file with links to the run<br> directories with secondary data for the other<br> figures for the paper "Modified propagation of gravitational waves<br> from the early radiation era" by Y. He, A. Roper Pol, and A. Brandenburg.<br> If anything turns out to be incomplete,<br> please email yutong.he@su.se.</p>
A non-intrusive nuclear data uncertainty propagation study for the ARC fusion reactor design
<p>Dataset of perturbed nuclear data files employed in the Serpent Monte Carlo code for the nuclear data uncertainty propagation analysis of the Affordable, Robust and Compact (ARC) fusion reactor. </p>
Timelapse of eGaIn Propagating Through Aluminum 2
<p>Animation of the timelapse presented in Fig. 4-12. Timelapse begins immediately after the end of the video in Fig. S-1. The area imaged is adjacent and just to the right of the region observed in Fig. S-1. Each frame is equal to one minute of elapsed time. Total time of the video is 88 minutes.</p>
eGaIn Propagating Through the Grain Boundaries in a Zn Foil
<p>Propagation of liquid eutectic gallium indium (bright phase) through the grain boundaries of a zinc (dark phase) foil. The propagation direction is right to left. The initial exposure site is on the right edge of the frame. </p>
Timelapse of eGaIn Propagating Through Polished Aluminum
<p>Gallium-indium eutectic liquid metal alloy propagating through the grain boundaries of a polished piece of Al5052 sheet adhered to a glass slide. First frame taken 30 minutes after initial exposure. One frame of the video represents one minute of elapsed time. Total time of the video is 107 minutes.</p>
Data for manuscript "Investigate on the Compression-shear Coupled Stress Waves Propagating in Heterogeneous Rock" submitted to JGR
<p>In the manuscript "Investigate on the Compression-shear Coupled Stress Waves Propagating in Heterogeneous Rock", the true triaxial experimental testing system is employed to measure the longitudinal wave velocities of three samples: granite (i), mortar model material (ii, MMM), and mortar model material with coarse aggregates (iii, MMMA), under different triaxial confining pressures. Here, the initial electrical signal data received on the strain gauge is provided and recorded. The measured position is consistent with that shown in Figure D1 in the manuscript.</p>
Numerical results data of 'Impact of Injection Pressure and Polyaxial Stress on Hydraulic Fracture Propagation and Permeability Evolution in Greywacke: Insights from Discrete Element Models of a Laboratory Test'
<p>Numerical results data of '<strong>Impact of Injection Pressure and Polyaxial Stress on Hydraulic Fracture Propagation and Permeability Evolution in Greywacke: Insights from Discrete Element Models of a Laboratory Test</strong>'</p>
AALTO - Analysis of Drone Propagation With Ray Tracing From Sub-6 GHz Upto TeraHertz Frequencies in a Real World Urban Environment - DATA
<p>The data set includes simulation results from radio propagation modelling of TERAWAY links (at W, D and THz bands) in realistic 3D propagation environments. The modelling is performed using a Ray Tracing Tool developed in MATLAB environment at Aalto University. Ray tracing technique used in this tool is based on Image Theory (IT) algorithm. Unlike a quasi three-dimensional environment, it supports ray tracing in full three dimension. </p> <p>This data set contains propagation modelling results of the TERAWAY link. Output data includes (but is not limited to): Multipath component IDs, Path Distance (meter), Angle of Arrival AoA (degree), Angle of Departure AoD (degree), Direction of Arrival DoA (degree), Direction of Departure DoD (degree), E-Field (Volt/meter), H-Field (Ampere/meter), Phase (Radians), Power (Watts), Number of reflections a path experienced, Number of diffractions a path experienced, information that is it ground reflected path or not, Receiver location (x and y coordinates), information that is it rooftop path or not.</p>
Annually resolved propagation of CFCs and SF6 in the global ocean over eight decades - dataset
<p>This archive contains the reconstructed anthropogenic transient tracer concentrations (CFC-11, CFC-12, and SF6) at annual resolution 1940-2021 and their associated uncertainties. The details of the method and data used are described in: Cimoli, L., Gebbie, G., Purkey, S. G., & Smethie, W. M. (2023). Annually resolved propagation of CFCs and SF6 in the global ocean over eight decades. Journal of Geophysical Research: Oceans, 128, e2022JC019337. https://doi.org/10.1029/2022JC019337.</p> <p>Each netcdf file returns the result for a neutral density surface (see file's name). Each file contains:<br> - latitude, longitude coordinates and time array of the reconstruction<br> - the reconstructed tracer concentration (e.g. cfc11_rec)<br> - the errorbars associated with the reconstruction; note that they are asymmetric and so both positive a negative errorbars are reported (e.g. cfc11_rec_posErr and cfc11_rec_negErr)<br> - the anthropogenic transient tracer observations on that density surface (e.g cfc11_obs)</p> <p>If you find this dataset useful, please cite the associated publication. If you want to collaborate on further analysis using this dataset or for any questions, please reach out to laura.cimoli@damtp.cam.ac.uk</p>
Dataset for: Contribution to Uncertainty Propagation Associated with On-Site Calibration of Infrasound Monitoring Systems
<p>Dataset containing the response data for the calibration of the MB5 microbarometer (Figure 5), the WNRS (Figure 6) and the sensor (Figure 8).</p>
Inputs, output and animation files related to the article titled "A computational framework for crack propagation along contact interfaces and surfaces under load" submitted to CMAME.
<p>Here you can find input mesh files, parameter files, output files and animations for numerical examples considered in the paper entitled "A computational framework for crack propagation along contact interfaces and surfaces under load" submitted to Computer Methods in Applied Mechanics and Engineering.</p>
Fast Indoor Radio Propagation Prediction Using Deep-Learning Dataset
<p>We show a dataset composed by Radio Maps Estimation (RME) and Cells Maps Estimation (CME) for the 5GHz band WIFI in indoor scenarios: it has 60 indoor constructions plans and 1000 distributions initially for a training process and 20 indoor constructions plans and 50 distributions aditionals for a test process of access points to even construction. These distributions are random and several WLAN's structures: 1 to 5 access points.</p> <p>The above explain that we got a total of 61000 RME and CME, this presents that is a model without interference between channels.</p> <p>Every coverage map have like maximum power delivered is <em>Pr = Pt = 26</em> dBm (according to data from <a href="https://www.cisco.com/c/en/us/products/wireless/catalyst-9100ax-access-points/index.html">current commercial equipment</a>) and like minimum power a value noise established in <em>Pr = KTB</em>, where K is the Boltzmann's constant, T the enviroment temperatura equal to 290°K and B the band width equal to 80MHz.</p> <p>Dataset DeepFIRP is the result of a lot of simulations by a <a href="https://doi.org/10.5281/zenodo.7983595">own software developed in MATLAB</a> that work with the<a href="https://mentor.ieee.org/802.11/dcn/14/11-14-0882-04-00ax-tgax-channel-model-document.docx"> IEEE 802.11ax channel model</a>.</p> <p>The pictures have a depth of 8 bits and size of <em>256pixels X 256pixels</em> equivalents to indoor constructions of <em>20 X 20</em> m<sup>2</sup>. These ones make reference to offices's spaces at general or classroom. </p> <p>A application to this dataset and the codes used for generate it is found <a href="https://github.com/johanflorez98/Fast-Indoor-Radio-Propagation-Prediction-Using-Deep-Learning">here</a>, where we implement a U-Net model for theRME and CME in indoor enviroments. This investigation contribute in novels methods for estimate by fast way coverage and cells maps using deep-learning in comparation with the conventional phisics methods like dominath-path model or ray-tracing. Whats allows save a lot of amount time in the WLANs's designs.</p>
Controlling the Propagation Asymmetry of Hyperbolic Shear Polaritons in Beta-Gallium Oxide - experimental and simulation data
<p>Experimental and simulation data for "Controlling the Propagation Asymmetry of Hyperbolic Shear Polaritons in Beta-Gallium Oxide" by J. Matson et al. accepted for publication in Nature Communications, preprint https://doi.org/10.21203/rs.3.rs-2365178/v1.</p> <p>Each Zip file contains the Matlab Figure files and Gwyddion sSNOM data files for each subplot as shown in the manuscript.</p> <p>For questions please contact A. Paarmann, alexander.paarmann@fhi-berlin.mpg.de</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)
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.