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864 results for “numerative”
Emulator of PR-DNS: Accelerating Dynamical Fields with Neural Operators in Particle-Resolved Direct Numerical Simulation
<p>The codes directory includes the various machine learning models, such as FNO, UNet and ResNet. R128_init1 and R128_init2 are the PR-DNS time step simulations at different initial conditions. R64_init2, R128_init2 and R256_init2 are the PR-DNS time step simulations at different resolutions. </p> <p> </p>
XLEMOO numerical experiment data
<p>This data is related to the article by Misitano, G. (2023) titled Exploring the Explainable Aspects and Performance of a Learnable Evolutionary Multiobjective Optimization Method, to be published in ACM Transactions on Evolutionary Learning and Optimization. It includes data for two problems: the vehicle crash worthiness problem and the car-side impact problem. Refer to the original publication and included README file for additional details.</p>
Basic Functions of the Numerical Structure of Scientific Data
<p>Thematic meanings of numerical definitions of subject data in various fields of science lead to manipulation of digital codes of known physical, chemical, biological, genetic and other quantities. In principle, each scientific justification contains, to one degree or another, a quantitative, qualitative characteristic of comparison or content. Thus, the language of natural numbers, like mathematical operations, can be accompanied by any definition in any terminology. In this text, the author does not use well-known terms related to the main scientific areas. In this text, the numbers speak for themselves. Any combination of orders or compositions of complex numerical structures presented in this text has its own logical meaning. Any paradox of numerical combinations is an algorithm of real values of numbers.</p>
Dataset for the Figure 2 in manuscript "Numerical study of coupled water and vapour flow, heat transfer, and solute transport in variably-saturated deformable soil during freeze-thaw cycles"
<p>This dataset includes the gathered experimental measurements of a freezing test by Wu (2017) for the model's verification shown in Figure 2 of the manuscript entitled 'Numerical study of coupled water and vapour flow, heat transfer, and solute transport in variably-saturated deformable soil during freeze-thaw cycles'' by Huang, X., and Rudolph, D.L.</p>
Two-dimensional Numerical Simulations of Mixing under Ice Keels Videos
<p>This deposition contains videos of all 16 two-dimensional mixing simulations of two-layered flow under the cross-section of an ice keel (see <a href="https://doi.org/10.5281/zenodo.8170312">https://doi.org/10.5281/zenodo.8170312</a> for the simulation code). </p> <p>The videos use a BWR color scale to depict the vorticity field with black density contours overlaid.</p> <p>The simulations are organized according to two dimensionless quantities that specify the setup: The bulk Froude number (F) and the dimensionless keel draft (H). The files are then named accordingly. For example, F15H20 is F=1.5 and H=2.0, F10H12 is F=1.0 and H=1.2, etc.</p>
A Benchmark Analytical Solution for Variable Viscosity Flow in Fractured Media: Development and Comparative Analysis with Numerical Simulations
<p>This data is associated with <strong>(a) Figure 3.</strong> Comparison between the velocities obtained through analytical calculations and those estimated numerically, and <strong>(b) Figure 4.</strong> Comparison of the BTCs obtained through analytical calculations and those estimated numerically.</p>
Data for research titled by "Numerical investigation on the height and intensity variations of sporadic E layers at mid-latitude"
<p>These data from the GAIA model and Es layer model, including the horizontal neutral winds, electric fields, and simulated Fe<sup>+</sup> density. </p>
Codes for: A numerical model supports the evolutionary advantage of recombination plasticity in shifting environments
<p><span>Numerous empirical studies have witnessed an increase in meiotic recombination rate in response to physiological stress imposed by unfavorable environmental conditions.</span> <span>Thus, inherited plasticity in recombination rate is hypothesized to be evolutionarily advantageous in changing environments. Previous theoretical models proceeded from the assumption that organisms increase their recombination rate when the environment becomes more stressful and demonstrated the evolutionary advantage of such a form of plasticity. Here, we numerically explore a complementary scenario – when the plastic increase in recombination rate is triggered by the environmental shifts. Specifically, we assume increased recombination </span><span>in individuals developing in a different environment than their parents and optionally, also in offspring of such individuals. </span><span>We show that such shift-inducible recombination is always superior when the optimal constant recombination implies an intermediate rate. Moreover, under certain conditions, plastic recombination may appear beneficial also when the optimal constant recombination is either zero or free. The advantage of plastic recombination was better predicted by the range of the population's mean fitness over the period of environmental fluctuations, compared to the geometric mean fitness. These results hold for both panmixia and partial selfing, with faster dynamics of recombination modifier alleles under selfing. We think that recombination plasticity can be acquired under the control of environmentally responsive mechanisms such as chromatin epigenetics remodeling.</span></p>
Dataset and Software: Heat Transfer in Pyroclastic Density Current - Ice Interactions: Insights from Experimental and Numerical Simulations
<p>This repository contains experiment data and executable MATLAB codes for the research article 'Heat Transfer in Pyroclastic Density Current - Ice Interactions: Insights from Experimental and Numerical Simulations'.</p> <p>Contained within the experiment data file Valeetal_Data.Zip are:</p> <ul> <li>Temperature, melt and steam data separated by particle type. See files: <ul> <li>Ballotini_Data_Valeetal</li> <li>Pumice_Data_Valeetal</li> <li>Ruapehu_Data_Valeetal</li> </ul> </li> <li>Melt and steam summary data plots. See file: <ul> <li>Data_Plots_Valeetal</li> </ul> </li> <li>Document with figures to demonstrate system behaviours. See file: <ul> <li>Valeetal_SI01_JGR</li> </ul> </li> </ul> <p>Contained within the model data file Model_Repository.zip are simulation data and codes that implement, process, and plot numerical solutions to the mathematical model. See README.txt for a brief description of each file.</p> <p> </p>
H2020 ENODISE: RWTH Numerical Aeroacoustic Database Configuration B1
<p>This RWTH dataset contains numerical data for aerodynamics and acoustics of configuration B1, which was defined in the H2020 ENODISE project (<a href="https://www.vki.ac.be/index.php/about-enodise">https://www.vki.ac.be/index.php/about-enodise</a>). In this configuration, three 6-bladed XPROP-S propellers are installed side-by-side on the leading edge of a wing with an airfoil shape of NLF-Mod22(B).</p> <p>The investigated operating point is:</p> <ul> <li>The incoming flow velocity <em>U∞</em> = 30 m/s, the wing angle of attack <em>AoA </em>= 2 deg, the propeller advance ratio <em>J</em> = 0.8, and the relative blade phase angle between propellers <em>∆Φ </em>= 0.</li> </ul> <p>Wall-resolved Large eddy simulations (LES) of the configuration are performed based on the multiphysics flow solver m-AIA of RWTH. The far-field noise is predicted by the Ffowcs-Williams and Hawkings (FW-H) method. The data set contains the time-averaged aerodynamic results predicted by the LES simulation and the aeroacoustic results calculated by the FW-H method. It should be noted that the aeroacoustic data is only a preliminary result and it will be updated soon.</p> <p>More details of the simulation and measurement setups are explained in the attached document ENODISE_B1_RWTH.pptx.</p>
Numerical Output for Analysis of Atlantic Water Pathways in Fram Strait
<p>This dataset contains data for the publication: Shifts of the Recirculation Pathways in central Fram Strait drive Atlantic Intermediate Water Variability on Northeast Greenland shelf (McPherson et al., JGR Oceans).</p>
Dataset of Numerical prediction of changes in atmospheric chemical compositions during a solar energetic particle event on Mars
<p>This dataset contains the input parameters and the simulated results used for figures in the paper "Numerical prediction of changes in atmospheric chemical compositions during a solar energetic particle event on Mars" by Y. Nakamura, F. Leblanc, N. Terada, S. Hiruba, I. Murata, H. Nakagawa, S. Sakai, S. Aoki, A. Piccialli, Y. Willame, L. Neary, A. C. Vandaele, K. Murase, and R. Kataoka.</p> <p>Detailed informations about the data files can be found in "README.txt".</p>
Numerical experiments for La Niña, north Atlantic, and the LA_NA
<p>The data named "FCAM_cntrl*" are the outputs of the control run.</p> <p>The data named "FCAM_nina_2022*" are the outputs of for the La Niña run.</p> <p>The data named "FCAM_NA_2022_Feb*" are the outputs of for the north Atlantic run.</p> <p>The data named "FCAM_nina_NA*" are the outputs of for the LA_NA run.</p> <p> </p> <p> </p>
Quantum turbulence in superfluid Fermi gas: results of numerical simulation
<p>Raw data of numerical simulation of quantum turbulence in superfluids Fermi gas.<br>Datasets are raw data used for publication: <br><em>Fermionic quantum turbulence: Pushing the limits of high-performance computing</em><br>by Gabriel Wlazłowski, Michael McNeil Forbes, Saptarshi Sarkar, Andreas Marek, and Maciej Szpindler<br><a href="https://doi.org/10.1093/pnasnexus/pgae160"><em>PNAS Nexus</em>, Volume 3, Issue 5, May 2024, pgae160</a></p>
A Data-facilitated Numerical Method for Richards Equation to Model Water Flow Dynamics in Soil Dataset
<p>This dataset contains the reference solutions used for training the two neural networks in 1-, 2- and 3-D cases for the article:"A Data-facilitated Numerical Method for Richards Equation to Model Water Flow Dynamics in Soil" by Zeyuan Song and Zheyu Jiang, submitted to the journal Water Resources Research. </p> <p>This dataset which describes the relationship between the pressure head and number of particles used to train two MLPs in D-GRW based solvers consists of three files, i.e., 1-, 2- and 3-D case study. There are two parts, original reference solutions and reference solutions, corresponding to the original solutions generated by coarse mesh solvers and solutions after data augmentation process, respectively.The dataset is generated by GRW based solvers and simulation results (e.g., Celia's finite difference method). Original reference solutions admit GRW proportionality assumption. We initialize the number of particles by multiplying the initial condition and 1E10. </p>
Data from: Numerical top-down effects on red deer (Cervus elaphus) are mainly shaped by humans rather than large carnivores across Europe
<p>Terrestrial ecosystems are shaped by interacting top-down and bottom-up processes, with the magnitude of top-down control by large carnivores largely depending on environmental productivity. While carnivore-induced numerical effects on ungulate prey populations have been demonstrated in large, relatively undisturbed ecosystems, whether large carnivores can play a similar role in more human-dominated systems is a clear knowledge gap. As humans influence both predator and prey in a variety of ways, the ecological impacts of large carnivores can be largely modified. We quantified the interactive effects of human activities and large carnivore presence on red deer (<em>Cervus elaphus</em>) population density and how their impacts interacted and varied with environmental productivity</p> <p>Data on red deer density were collected based on a literature survey encompassing 492 study sites across 28 European countries. Variation in density across study sites was analysed using a generalised additive model in which productivity, carnivore presence (grey wolf, European lynx, Brown bear), human activities (hunting, intensity of human land-use activity), site protection status and climatic variables served as predictors. </p> <p>The results showed that a reduction in deer density only occurred when wolf, lynx and bear co-occurred within the same site. In the absence of large carnivores, red deer density varied along a productivity gradient without a clear pattern. Although a linear relationship with productivity in the presence of all three large carnivore species was found, this was not statistically significant. Moreover, hunting by humans had a stronger effect than the presence of all large carnivores in reducing red deer density and red deer density increased with increasing intensity of human land-use, with stronger large carnivore effects (all three carnivore species present) at sites with low human land-use activities. </p> <p><em>Synthesis and applications</em>: This study provides evidence for the dominant role played by humans (i.e. hunting, land-use activities) relative to large carnivores in reducing red deer density across European human-dominated landscapes. These findings suggest that when we would like large carnivores to exert numeric effects, we should focus on minimizing human impacts to allow the ecological impacts of large carnivores on ecosystem functioning.</p>
Effect of egocentric and allocentric reference frames on spatial numerical associations
<p>From an embodied view of cognition, sensorimotor mechanisms are strongly involved in abstract processing, such as Arabic number meanings. For example, spatial cognition can influence number processing. These spatial-numerical associations (SNAs) have been deeply explored since the seminal spatial-numerical associations of response code (SNARC) effect (i.e., faster left/right sided responses to small/large magnitude numbers, respectively). While these SNAs along the transverse plane (left-to-right axis) have been extensively studied in cognitive sciences, no systematic assessment of other planes of the tridimensional space has been afforded. Moreover, there is no evidence of how SNAs organize themselves throughout the changes in spatial body-reference frames (egocentric and allocentric). Hence, this study aimed to explore how SNAs organize themselves along the transverse and sagittal planes when egocentric and allocentric changes are processed during body displacements in the environment. In the first experiment, the results revealed that when the participants used an egocentric reference, SNAs were observed only along the sagittal plane. In a second experiment that used an allocentric reference, the reversed pattern of results was observed: SNAs were present only along the transverse plane of the body. Overall, these findings suggest that depending on the spatial reference frames of the body, SNAs are strongly flexible.</p>
Numerical data for research paper titled "Physical mechanism for a temporal decrease of the Gutenberg-Richter b-value prior to a large earthquake"
<p>Numerical data used to make Figures in the manuscript entitled "Physical mechanism of the temporal decrease of a Gutenberg-Richter b-value prior to a large earthquake". We provide the data used to create Figures 2 to 13 from the main text, and Figures S2, S3 and S6 from the supplementary information. We also provide Python scripts to plot them.</p>
Roman Numeral Clock Bracelet
 Source: Objaverse 1.0 / Sketchfab
Data from: Canine sense of quantity: evidence for numerical ratio-dependent activation in parietotemporal cortex
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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.