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864 results for “numerative”
The SNAI1 and SNAI2 embryonic genes are reactivated in numerous cancer types, including carcinomas
GEO Series GSE40690. Homo sapiens. 20 samples. Type: Expression profiling by array.
Small RNA sequencing of human milk cells reveals numerous known and novel miRNAs, with no effects of milk removal
GEO Series GSE71098. Homo sapiens. 20 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Nuclear Location Bias of HCAR1 Drives Cancer Malignancy through Numerous Routes [RNA-seq]
GEO Series GSE210469. Homo sapiens. 24 samples. Type: Expression profiling by high throughput sequencing.
Expression of EBV miRNAs in numerous EBV-positive cell lines
GEO Series GSE12014. Homo sapiens; human gammaherpesvirus 4; Arabidopsis thaliana. 48 samples. Type: Non-coding RNA profiling by array.
Human milk cells and lipids conserve numerous known and novel miRNAs, some of which are differentially expressed during lactation
GEO Series GSE75726. Homo sapiens. 45 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Egr1 regulates the coordinated expression of numerous EGF receptor target genes as identified by ChIP-on-chip
GEO Series GSE10585. Homo sapiens. 8 samples. Type: Expression profiling by array; Genome binding/occupancy profiling by genome tiling array.
Atmospheric forcing dataset for Numerical study of the seasonal thermal and gas regimes of the large artificial lake in Western Europe using LAKE2.0
<p>Input dataset for the LAKE2.0 model (http://tesla.parallel.ru/Viktor/LAKE/wikis/LAKE-model) that was used for the experiments in the "Numerical study of the seasonal thermal and gas regimes of the large artificial lake in Western Europe using LAKE2.0" article. Archive contains the atmospheric forcing file itself, file with the header description, and the setup and driver files for the LAKE2.0 model.</p> <p>Source code of the current version of the LAKE2.0 model used in the work mentioned above, pre-compiled exec of the FLake model as well as its source code (freely available under the terms of the MIT license) are also provided as separate archive files.</p> <p> </p>
Numerical simulations of the geospace response to a perfect interplanetary coronal mass ejection: Model Data
<p>This is the model output data discussed in the article, "Numerical simulations of the geospace response to a perfect interplanetary coronal mass ejection." See README.txt for information on dataset contents, formats, and suggested software libraries.</p> <p> </p>
The flow past a flatback airfoil with flow control devices: Benchmarking numerical simulations against wind tunnel data - Animations
<p>As wind turbines grow larger, the use of flatback airfoils has become standard practice for the root region of the blades. Flatback profiles provide higher lift and reduced sensitivity to soiling at significantly higher drag values. A number of flow control devices has been proposed to improve the performance of flatback profiles. In the present study, the flow past a flatback airfoil at a chord Reynolds number of 1.5×10<sup>6 </sup>with and without trailing edge flow control devices is considered. Two different numerical approaches are applied, Unsteady Reynolds Averaged Navier Stokes (RANS) simulations and Detached Eddy Simulations (DES). The computational predictions are compared to wind tunnel measurements to assess the suitability of each method. The effect of each flow control device on the flow is examined based on the DES results on the finer mesh. Results agree well with the experimental findings and show that a newly proposed flap device outperforms traditional solutions for flatback airfoils. In terms of numerical modelling, the more expensive DES approach is more suitable if the wake frequencies are of interest, but the simplest 2D RANS simulations can provide acceptable load predictions.</p> <p>These animations are the DES results on a Fine (25M cells, AR = 1) mesh. Animations include a 3D view of Q = 1.5 isosurfaces and a side view of Q = 100 isosurfaces for each case.</p> <p> </p>
Data for 'The Helmholtz Equation in Heterogeneous and Random Media: Analysis and Numerics'
<p>Part of the computational output in the PhD thesis: Owen Rhys Pembery, 'The Helmholtz Equation in Heterogeneous and Random Media: Analysis and Numerics', University of Bath, 2020.</p>
The flow past a flatback airfoil with flow control devices: Benchmarking numerical simulations against wind tunnel data - Animations II
<p>Animations from accepted (06/2020) publication:</p> <p>The flow past a flatback airfoil with flow control devices: Benchmarking numerical simulations against wind tunnel data, Wind Energ. Sci., https://doi.org/10.5194/wes-2020-36</p> <p>These animations are the DES results on a Fine (25M cells, AR = 1) mesh. Animations include a 3D view of Delta = 10^5 isosurfaces coloured by X vorticity and Z vorticity. Two animations are available for each case (Plain airfoil, Flap, Flap + Cavity, Cavity, Splitter). Contour levels are included in separate files.</p> <p> </p>
Pore-scale electrical numerical simulation and new saturation model of fractured tight sandstone
<p>Fractured tight sandstone reservoirs are characterized by low matrix porosity, low matrix permeability, and strong heterogeneity. Fractures developed in rocks improves reservoir permeability, but it brings new challenges to formation evaluation from log interpretation. The conventional Archie’s equation is not applicable. Meanwhile, the fragility of fractured rocks limits the application of petrophysical experiment method which is expensive and time-consuming. Recently, the development of digital rock technology provides a new means for studying fractured rocks. In this work, a set of fractured digital rocks with different fracture openings and dips are constructed to study electrical properties of fractured rocks using finite element method (FEM). The formation factor <em>F</em> is calculated by the resistivity simulation results of digital rocks with different porosity and an equation of cementation exponent versus fracture opening and dip is established. Then the resistivity of partially saturated rocks is simulated by FEM and the resistivity index is calculated to build the cross-plot of resistivity index (<em>RI</em>) and water saturation (<em>S</em><sub>w</sub>). The relationship between the <em>RI</em> and <em>S</em><sub>w</sub> for fractured rocks is exponential. Subsequently, a new saturation model for fractured tight rock reservoirs is proposed. Taken the deep Cretaceous fractured tight sandstone gas reservoir in Kuqa as an example, the model is proved more effective and correct. This study is of great significance in the theoretical analysis and saturation evaluation of fractured tight rock reservoirs.</p>
Mixed layer velocity and surface wind stress from numerical simulation of Super Typhoon Mangkhut
<p>Mixed layer velocities and surface wind stress from a WRF-HYCOM coupled simulations of Super Typhoon Mangkhut.</p>
Configurations and scripts to reproduce the numerical simulations of "A two-fluid model for immersed granular avalanches with dilatancy effects" article
<p>This directory contains the main data to reproduce the results presented in the article "A two-fluid model for immersed granular avalanches with dilatancy effects" by Eduard Puig Montellà, Julien Chauchat, Bruno Chareyre, Cyrille Bonamy and Tian-Jian Hsu.<br> <br> The numerical results and experimental data extracted from Pailha et ad (2008) can be found inside "NumericalData" and "ExperimentalData" folders respectively. The script "PressureVelocityPlot.py" displays the evolution of the surface particle velocity and the excess of pore pressure with time for cases ranging from loose to dense granular avalanches. </p> <p>The input files needed to reproduce a dense granular avalanche (phi=0.592) in 1D and 2D are found in the following folders: "1D_DenseCase" and "2D_DenseCase". To accelerate the simulation, the files are given after 200 seconds of sedimentation in order to reach an equilibrium state. Please read the corresponding README.txt files to launch a 1D and/or a 2D simulation. Additionally, python scripts in each configuration are provided to evaluate the evolution of the main parameters during the avalanche. </p>
The role of idealized storms in sand wave formation: A numerical modeling study
<p>The typical Delft3D cases for "The role of idealized storms in sand wave formation: A numerical modeling study".</p>
Data from: Numerical ordering of zero in honey bees
Some vertebrates demonstrate complex numerosity concepts—including addition, sequential ordering of numbers, or even the concept of zero—but whether an insect can develop an understanding for such concepts remains unknown. We trained individual honey bees to the numerical concepts of "greater than" or "less than" using stimuli containing one to six elemental features. Bees could subsequently extrapolate the concept of less than to order zero numerosity at the lower end of the numerical continuum. Bees demonstrated an understanding that parallels animals such as the African grey parrot, nonhuman primates, and even preschool children.
Projection matrices for numerical examples of "An adaptive model order reduction technique for parameter-dependent modular structures"
<p>This data set contains supplementary data for the paper:<br> 'An adaptive model order reduction technique for parameter-dependent modular structures'</p> <p>The Authors are:<br> Stephan Ritzert (a), Domen Macek (a), Jaan-Willen Simon (b), Stefanie Reese (a)</p> <p>Affiliations:<br> (a) Institute of Applied Mechanics, RWTH Aachen University, Mies-van-der-Rohe-Str. 1, 52074 Aachen, Germany<br> (b) Civil Engineering Mechanics, University of Wuppertal, Pauluskirchstr. 7, 42285 Wuppertal, Germany</p> <p>Contact: stephan.ritzert@ifam.rwth-aachen.de</p> <p>### The Dataset ###</p> <p>The dataset contains all mesh files and all projection matrices used for the numerical examples 2,3, and 4.</p> <p>Example 2: Naming of projections matrices<br> -Square: The projection matrices depend on the parameter alpha: {0,5,10,...,90}<br> The name of the projection matrix is 'PsiTransIso' + alpha + '.txt'</p> <p> -Rectangle: The projection matrices depend on the parameter alpha: {0,5,10,...,180}, and the length lx: {600,700,800,900,1000,1100,1200}<br> The name of the projection matrix is 'PsiTransIso' + alpha + '-' + lx + '.txt'</p> <p>Example 3: Naming of projections matrices<br> -Square: The projection matrices depend on the parameter alpha: {0,5,10,...,90}<br> The name of the projection matrix is 'PsiTransIso' + alpha + '.txt'</p> <p> -Rectangle: The projection matrices depend on the parameter alpha: {0,5,10,...,180}, and the length lx: {600,700,800,900,1000,1100,1200}<br> The name of the projection matrix is 'PsiTransIso' + alpha + '-' + lx + '.txt'</p> <p><br> Example 4: Naming of projections matrices<br> -curved: The projection matrices depend on the parameter phi: {20,30,...,90}<br> The name of the projection matrix is 'PsiIso' + phi + '.txt'</p> <p> -rectangle: The projection matrices depend on the parameter lx: {600,800,1000,1200}<br> The name of the projection matrix is 'PsiIso' + lx + '.txt'</p> <p> </p> <p> </p>
Data of "An enhanced lattice beam element model for the numerical simulation of rate-dependent self-healing in cementitious materials"
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Database obtained through numerical modelling comprising short-term vertical displacements around a shaft excavated in London Clay
<p>The database was generated via finite element axisymmetric analysis of the excavation of a shaft in London Clay. It includes vertical displacements troughs around the shaft (from 0.1m to a radial distance equal to 2xShaft depth) extracted at depth intervals of 0.1xShaft depth, from the surface to the shaft depth. </p>
numerical source data for Figures 2A-F
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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.