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Dataset results
127 results for “optimization methods”
Performance comparison of optimization methods on variational quantum algorithms
<p>This repository contains the code, data and notebooks to reproduce the plots from the manuscript "Performance comparison of optimization methods on variational quantum algorithms"</p>
Dataset of Paper "Optimization and parallelization of the Discrete Ordinate Method for radiation transport simulation in OpenFOAM: Hierarchical combination of shared and distributed memory approaches"
<p>Dataset of Paper "Optimization and parallelization of the Discrete Ordinate Method for radiation transport simulation in OpenFOAM: Hierarchical combination of shared and distributed memory approaches":</p> <ul> <li>Time profiling of the DOM model stages.</li> <li>Speed-up and parallel fraction of the “global results generation” stage in the DOM model.</li> <li>Comparison of computational time between original and modified DOM model stages.</li> <li>Scalability of the peer-to-peer communication (OpenFOAM) and master-slave communication (ANSYS Fluent) architectures.</li> <li>Results of the benchmarking of the model with ANSYS Fluent in three reactors.</li> <li>Mesh of the jerrycan.</li> <li>Mesh of the anular reactor</li> <li>Mesh of the tubular reactor couple to a compound parabolic collector.</li> </ul>
Dataset for the optimization and validation of a gas chromatography-mass spectrometry method to analyze acetate, propionate and butyrate in the systemic circulation.
<p>This dataset contains data about the optimization and validation of a gas chromatography method to analyze acetate, propionate and butyrate in blood. Validation parameters include linearity, precision, accuracy and recovery. The method's applicability was demonstrated with the analysis of the short-chain fatty acids in human blood samples that were collected in a dietary intervention study.</p>
Mixed Precision Optimization Method acceleration time and numerical simulation results
<p>The stored data are the speedup ratios of the MPFlow method and other acceleration algorithms, as well as the elastic wave response data obtained by numerical simulation using the MPFlow method.</p>
AEROARMS Control-based local optimization methods for planning
<p>This package allows to perform a Dynamic (Re-)Planning within the Set-Based Task-Priority Inverse-Kinematics (SBTP-IK) framework. It is ROS-based and it is provided to work with the Kinova Jaco2 7DOFs but it is can be easily adapted to another robot system changing the files describing the robot kinematics such as Denvait Hartenberg parameters.</p> <p>The proposed approach is based on merging control-based local optimization methods inside the planning algorithms. For the experiments, a fixed-based 7 DOFs manipulator has been considered in two different scenarios. In the first case, a static environment has been considered. In the second one, the user places an obstacle on the manipulator’s path in real-time. Thus, a re-planning results necessary to manage this change in the environment.</p> <p> </p>
Data for Paper: A rigorous optimization method for long-term multi-stage investment planning: Integration of hydrogen into a decentralized multi-energy system
<p>Data containing the results and figures presented in the paper "A rigorous optimization method for long-term multi-stage investment planning: Integration of hydrogen into a decentralized multi-energy system" by Luka Bornemann and Jelto Lange and Martin Kaltschmitt, submitted to the Journal Energy Reports.</p>
Bearing capacity semi-empirical methods inputs for optimization
<p>These datasets presents inputs for bearing capacity prediction methods. These methods are four well-known semi-empirical models for predicting bearing capacity of piles. The data was collected from the works of Lobo (2005), Vianna (2000) and Jr. (1988) and includes load tests and SPT measures taken from severam Brazilian regions. </p> <p>The suffix 'DQ' and 'MH', 'Av' and 'Tx' represents which method this input was obtained from, corresponding respectively to Decourt and Quaresma (1978) and Meyerhof (1983).</p> <p>The columns indexes represents:</p> <p>N_pile - Pile number (for reference);<br> N_l - SPT result for the pile lenght;<br> N_p - SPT result for the pile tip<br> L - pile lenght;<br> D - pile diameter;<br> U - pile perimeter;<br> A - pile section area<br> Qu - Pile bearing capacity, obtained through NBR 6122 load test.<br> <br> When using this dataset, please cite the following paper:</p> <p>//<a href="http://soilsandrocks.com/sr-2021-074921">soilsandrocks.com/sr-2021-074921</a></p> <p>DOI: 10.28927/SR.2021.074921</p>
Measurement of layer thicknesses with an improved optimization method for depolarizing Mueller matrices
<p>Measurement and simulation data of layer thickness standards</p>
Sustainable Methods, Algorithms, and Research Tools for Delivering Optimal Care Study
ClinicalTrials.gov study NCT02037438. IPD Sharing: YES. Countries: 1. Publications: 1.
Comparison of AV Optimization Methods Used in Cardiac Resynchronization Therapy (CRT)
ClinicalTrials.gov study NCT00677014. IPD Sharing: Not stated. Countries: 1. Publications: 13.
Addressing Disparities in Neuromodulation for Rehabilitation: A Mixed Methods Approach to Optimize Access for Underrepresented Racial Minorities
ClinicalTrials.gov study NCT05896202. IPD Sharing: NO. Countries: 1. Publications: 1.
FREEDOM - A Frequent Optimization Study Using the QuickOpt Method
ClinicalTrials.gov study NCT00418314. IPD Sharing: NO. Countries: 1. Publications: 1.
Data from: Bubbling water-treating DBD plasma device optimization using experimental and computational methods
Open the record for dataset details and reuse information.
Data for "Function Space Optimization: A symbolic regression method for estimating parameter transfer functions for hydrological models"
<p>This repository contains all geo-physical catchment properties used in the publication "Function Space Optimization: A symbolic regression method for estimating parameter transfer functions for hydrological models".</p>
Dataset of some transition state problems solved with a deterministic global optimization method.
<p>Data of all solutions found for each problem and data for each (iterations vs open nodes) graph.<br /> </p>
FIGURE 1. Optimal tree inferred using the Neighbor-Joining method inferred from 550 in Paracoccus leucadendri Mazzeo & Franco in Mazzeo, Franco & Russo, 2009, a junior synonym of Paracoccus hakeae (Williams, 1985) comb. nov. (Coccomorpha: Pseudococcidae)
FIGURE 1. Optimal tree inferred using the Neighbor-Joining method inferred from 550 replicates. Shown next to the branches is the percentage of replicate trees in which the associated taxa clustered together in the bootstrap test. The tree is drawn to scale, with branch lengths in the same units as those of the genetic distances used to infer the tree. Genetic distances were computed using the p-distance method and are in the units of the number of base differences per site.
Dataset for the paper "Parameter study and optimization of floating wind-wave co-generation system based on the Taguchi method"
<p>The Dataset is the result files for the paper "Parameter study and optimization of floating wind-wave co-generation system based on the Taguchi method"</p>
A statistical method to optimize the chemical etching process of Zinc Oxide thin films
<p>Zinc Oxide (ZnO) is an attractive material for micro and nanoscale devices. Its desirable semiconductor, piezoelectric, and optical properties <span>make</span> it useful in applications ranging from microphones to missile warning systems to biometric sensors. This work introduces a demonstration of blending statistics and chemical etching of thin films to identify the dominant factors, and interaction between factors, and <span>develop</span> statistically enhanced models on etch rate and selectivity of ZnO thin films. Over other mineral acids, ammonium chloride (NH<sub>4</sub>Cl) solutions <span>have</span> commonly been used to <span>wet</span> etch microscale ZnO devices because of their controllable etch rate and near-linear behavior. <span>Etchant</span> concentration and temperature were found to <span>have</span> a significant effect on etch rate. Moreover, this is the first demonstration that has identified multifactor interactions between temperature and concentration and between temperature and agitation. A linear model <span>was</span> developed relating etch rate and its variance against these significant factors and multifactor interactions. An average selectivity of 73:1 <span>was </span>measured with none of the experimental factors having a significant effect on the <span>selectivity. </span>This statistical study captures the significant variance observed <span>by</span> other researchers. <span>Furthermore,</span> it enables statistically enhanced microfabrication processes for other materials.</p>
Artifact for an optimized polite combination method
<p>The artifact contains the binary, challenge benchmark and results of running with and without the optimization.</p> <p>It also includes instructions for reproduction.</p>
Dataset for publication 'Reconnecting Stochastic Methods with Hydrogeological Applications: Uncertainty Analysis and Risk Assessment for the Design of Optimal Monitoring Networks'
<p>This dataset includes all data and information on how to reproduce the results and the figures of the paper 'Reconnecting Stochastic Methods with Hydrogeological Applications: Uncertainty Analysis and Risk Assessment for the Design of Optimal Monitoring Networks'.</p>
ScienceDex guides
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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.