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864 results for “numerative”
The data of Numerical Study on the Self-Sustaining Constant Temperature Fermentation Conditions and Regulation Mechanism of Banana Pseudostem Based on Thermal Flow-Reversal Reactor
Open the record for dataset details and reuse information.
Numerical Analysis of Hybrid REBCO-Cu Coatings for the Future Circular Collider Beam Screen
<p>Simulation files and data of the beam screen (BS) of the Hybrid Future Circular Collider (FCC) with a hybrid coating composed of alternating segments of REBCO high temperature superconductor (HTS) and copper.</p> <p>00. All Simulations: All simulation files with no solutions.</p> <p>01. ParametricStudy: Several coating geometries are evaluated in terms of the field quality within the reference radius of the FCC BS. The coatings are defined by the number of segments (n) and the ratio of HTS in the flat portions of the BS (p). The simulation files are generated via COMSOL LiveLink for MATLAB, with the MATLAB script ParSweepAutoSims. </p> <p>02. HspmSims: The experimental setup of a Hall Scan Probe Microscopy measurement of trapped field is replicated with hybrid coatings of different p and n.</p> <p>03. AcDemagnetization: The effect of a perpendicular AC field superimposed to a DC field to the current flowing in a HTS tape is simulated.</p> <p>04. ProposedGeometry: A coating geometry is proposed based on the results of the parametric study.</p> <p>05. MisalignedMultipole: The proposed geometry submitted to other magnetic field configurations as tu study the impact on field harmonics due to a quadrupole field, hysteresis, creep and misalignments. Each study requires different magnetic field inputs, which should be selected appropriately in the definitions tab. The MATLAB script FieldHarmCalc is used to calculate the field harmonics. </p> <p>06. ThermoMechanical: The thermomechanical response of the coated beam screen is investigated. Dipole-induced heat as well as resistive wall heating and synchrotron radiation are considered. </p> <p>07. DipoleQuench: The consequences of a quench of the main dipole magnets is studied. Temperature dependent material properties are taken into account. </p> <p>08. TransverseCurrent: The correlation between transverse current flow and length in electronically coupled HTS segments is analysed in a simplified geometry.</p> <p>09. RebcoProperties: The files containing the material properties used in the simulations. Data from S. Wimbush, N. Strickland, and A. Pantoja. “Critical current characterisation of SuperPower Advanced Pinning 2G HTS superconducting wire”. In: (Mar. 2021). DOI: 10.6084/m9.figshare.4256624.v3. URL: https://figshare.com/articles/dataset/Critical_current_characterisation_of_SuperPower_Advanced_Pinning_2G_HTS_superconducting_wire/4256624.</p> <p>10. MainResults: A summary of the main results obtained with these simulations.</p>
Numerical simulations on electron wing-like structures formed at a negatively-charged spacecraft moving in a magnetized plasma
<p>Numerical and observational data presented in Miyake et al. (2019): Electron wing-like structures formed at a negatively-charged spacecraft moving in a magnetized plasma. The format of the dataset is described in the PDF document (2019JA027379_supporting_information.pdf).</p>
Numerical Modeling for Choked Flow in Old Faithful Geyser
<div>These ANSYS archive files were made to investigate the choked flow in Old Faithful Geyser. Here, Peng and Robinson Equation of State and Tait Equation of State are used as an equation of state for gas phase of H2O and CO2, and liquid phase of H2O, respectively. Also, Lee model was used to describe the phase transition between liquid and gas phase of H2O. The archive files contain the geometry of Old Faithful Geyser obtained from Hutchinson et al., 1997, mesh and numerical settings properties for calculating. Note that the archive files were created with ANSYS 2020 R1 version. </div> <div> <div> <h2>Files</h2> </div> </div>
Numerical model setup for studying the energetics of the ocean current under sea ice
<p>This dataset contains model code and input files for studying the energetics of the ocean current under sea ice. The model used in this study is the Massachusetts Institute of Technology general circulation model (MITgcm). Original source code is the MITgcm_c66m.</p> <p>code: contains code configuration for Exp-PD, Exp-D, Exp-P, and Exp-PD100.</p> <p>code_F: contains code configuration for Exp-PF.</p> <p>input_PD: contains parameter settings and input files for the base experiment Exp-PD (initial perturbation + ice-ocean drag).</p> <p>input_D: contains parameter settings and input files for the sensitivity experiment Exp-D (no initial perturbation).</p> <p>input_P: contains parameter settings and input files for the sensitivity experiment Exp-P (no ice-ocean drag).</p> <p>input_PD100: contains parameter settings and input files for the sensitivity experiment Exp-PD100 (a restart of Exp-P from day 100 and is run for 100 days with the ice-ocean drag).</p> <p>input_F: contains parameter settings and input files for the sensitivity experiment Exp-PF (no sea ice model; Forcings include surface stress, shortwave radiation, and heat and freshwater fluxes diagnosed from Exp-PD).</p>
Numerical data set belonging to: 'Transient Freezing of Water in a Square Duct: An Experimental Benchmark'
<p>This is the numerical data-set belonging to 'Transient Freezing of Water in a Square duct'. The simulation outputs can be opened using the opensource application GMSH.</p>
The dataset of the manuscript "Numerical Study on the Contribution of Specific Emissions to the PM2.5 Concentration with CAMx v6.10: A Case Study of Construction Fugitive Emissions in Xi'an"
<p>The dataset of the manuscript "Numerical Study on the Contribution of Specific Emissions to the PM2.5 Concentration with CAMx v6.10: A Case Study of Construction Fugitive Emissions in Xi’an"</p>
Learning-induced reorganization of number neurons and emergence of numerical representations in a biologically-inspired neural network
<p>Data published along with paper: <em>Learning-induced reorganization of number neurons and emergence of numerical representations in a biologically-inspired neural network</em></p> <p>In this data is shared: models (before & after training), stimuli used to train and test, and activity of the model in test.</p>
Numerical analysis and machine learning techniques on the behavior of FRP confined circular reinforced concrete columns
<p>This study presents a comprehensive nonlinear finite element study on the behavior of circular fibre reinforced polymer (FRP) confined reinforced and plain concrete columns under concentric loads. For this investigation, 65 test models with a combination of spiral hoop reinforced concrete, concrete with longitudinal and circular hoop reinforcements, and FRP confined plain concrete were designed . Four different machine learning (ML) techniques were developed to predict the ultimate axial load and strain at the tensile rupture of FRP. The accuracy of the proposed finite element model (FEM) was verified by comparing it with the existing experimental test results. The impact of unconfined concrete strength, hoop reinforcement ratio, thickness of FRP, and spiral hoop spacing on the confinement effectiveness, load-carrying capacity, and ductility behavior of circular FRP confined concrete columns were demonstrated. The parametric analysis found that axial load capacity of FRP-confined concrete columns increased when unconfined concrete strength increased, while low-strength confined concrete achieved a larger strength improvement ratio than high-grade concrete. The investigation also revealed that the thickness of the confining FRP has a significant impact on the confinement effectiveness of hoop reinforcement. The correlation between the FEM and experimental tests yielded 99.60% R<sup>2</sup> for ultimate axial load and 93.40% R<sup>2</sup> for ultimate strain. Extra tree regressor (ETR) and gradient boosting of ML yielded accurate predictions of ultimate axial load and strain at the tensile rupture of FRP compared to other approaches, but ETR has the best comprehensive prediction performance using the comprehensive ranking system. Overall, ETR can be applied in the ultimate axial load and strain prediction of circular FRP confined reinforced and plain concrete columns under concentric loads, conserving resources, time, and cost through laboratory testing.</p> <p> </p> <p> </p> <p> </p> <p> </p>
Numerical Investigation of Multiphase Flow through Complex Fractures
<p>This is all the data used and discussed in association with our publication in Geophysical Research Letters</p>
Numerical modeling results for Two episodes of plate tectonics on Earth
<p>The compressed file 'Viscosity_profile.zip' contains the 9 viscosity profiles (test_eta00*) of the reference model (Figure 1). </p><p>Opensource software StagLab (www.fabiocrameri.ch/software) is required to open the test_eta00* files. </p><p>The compressed file 'time_evolution.zip' contains the raw data for Fig2 and FigS1-S4 as well as the drawing scripts, where '*.ipynb' is the ipython drawing script and '*-l.dat ' is lithospheric thickness, '*-pm.dat' is plateness and mobility, and '*-th.dat' is upper mantle temperature and surface heatflux. '*-v.dat' is surface velocity.</p>
Monocentric Retrospective Observational Study; Analysis of Gore Excluder ACS Device Using Numerical Simulation
ClinicalTrials.gov study NCT06428877. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Does Numerical And Pictorial Information On Risk And Benefit Affects The Uptake Of Colorectal Cancer Screening?
ClinicalTrials.gov study NCT01250015. IPD Sharing: Not stated. Countries: 1. Publications: 0.
MEasurement by a Numerical Approach of BREAst Volume
ClinicalTrials.gov study NCT03715738. IPD Sharing: NO. Countries: 1. Publications: 0.
Multivariate Approach to the Numerical Assessment of Cortical - Autonomic - VAscular Dynamic Interplay
ClinicalTrials.gov study NCT06294119. IPD Sharing: NO. Countries: 1. Publications: 0.
Does a Periaqueductal Gray-vagus Nerve Interface Malfunction Explain the Nat hx With Its Numerous Co-morbidities?
ClinicalTrials.gov study NCT06616363. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Thrombin Generation Numerical Models Validation in Haemophilic Case
ClinicalTrials.gov study NCT02300519. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Tumoral Bone Strength Assessment by Numerical Simulation Using Quantitative CT : the MEKANOS Study
ClinicalTrials.gov study NCT04170634. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Establish Finite Element Mesh of the Numerical Models of the Thoracic Aorta
ClinicalTrials.gov study NCT00155480. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Clinical Utility of the Numerical Verbal Scale (NVS) and the Pain and Functional Activity Scale (PFAS) in the Management of Rescue Analgesia in Acute Postoperative Pain. Randomized Study.
ClinicalTrials.gov study NCT07310953. IPD Sharing: NO. Countries: 1. Publications: 0.
ScienceDex guides
Understand access before you commit
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.