Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
5,573
datasets available to search
ShareScore release 0.9.0
Dataset results
5,573 results for “optimality”
Data of "Optimization of concrete mix designs toward the bond properties of steel reinforcement in self-healing concrete by Taguchi method"
<p>Dataset for the hardened properties of self-healing concrete and the bond properties of steel reinforcement in self-healing concrete used for the optimization via Taguchi method</p>
All optimized structures for electronic coupling
<p>These optimized structures provided the correct active space, enabling us to perform the coupling calculations accurately.</p> <p>To check the impact of dynamic correlation, NEV-PT2 calculations were also done for the following 6 structures:</p> <p>2_frame_12.xyz</p> <p>2_frame_14.xyz</p> <p>9_frame_12.xyz</p> <p>17_frame_3.xyz</p> <p>21_frame_4.xyz</p> <p>23_frame_1.xyz</p>
Optimization output files
<p>Output file containing input data and the results of optimization of LAB-TEA at the B3LYP/6-31+G(d) level of theory using Gaussian 09 program package. The resulting optimized structure is then used as the starting geometry for generating parameters for the LAB-TEA molecule.</p>
Data from: Hierarchical power control of a large-scale wind farm by using a data-driven optimization method
<p><span>With the participation in automatic generation control (AGC), a large-scale wind farm should distribute the real-time AGC signal to numerous wind turbines (WTs). This easily leads to an expensive computation for a high-quality dispatch scheme, especially considering the wake effect among WTs. To address this problem, a hierarchical power control (HPC) is constructed based on the geographical layout and electrical connection of all the WTs. Firstly, the real-time AGC signal of the whole wind farm is distributed to multiple decoupled groups in proportion of their regulation capacities. Secondly, the AGC signal of each group is distributed to multiple WTs via the data-driven surrogate-assisted optimization, which can dramatically reduce the computation time with a small number of time-consuming objective evaluations. Besides, a high-quality dispatch scheme can be acquired by the efficient local search based on the dynamic surrogate. The effectiveness of the proposed technique is thoroughly verified with different AGC signals under different wind speeds and directions.</span></p>
An environmental evaluation of potentially optimal regions for solar plant construction in China
<p>Data for "<strong>An environmental evaluation of potentially optimal regions for solar plant construction in China</strong>"</p>
Hydrothermal carbonization of vegetable-tanned leather shavings (HTC-VTS) for environmental remediation: optimization of process conditions
<p><span>Herein, the response surface methodology (RSM) has been used to study simultaneously the effects of carbonization temperature, residence time, and moisture content on the activated hydrochar preparation-based vegetable-tanned leather shavings (VTS) using hydrothermal carbonization method (HTC). Owing to the desirability chosen, three responses were analysed, namely: the hydrochar yield, iodine, and methylene blue numbers. The analysis of experimental results revealed that the hydrochar yield was decreased with an increase in carbonization temperature which led to micropores formation inside the hydrochar network. The optimal preparation conditions retained were: 83.10%, 390.44 mg/g, and 259.63 mg/g for the hydrochar yield, iodine, and methylene blue number respectively. The hydrochar micrograph showed the presence of external pores, whereas the FTIR analysis recorded the presence of acidic functional groups found on hydrochar surface. The findings revealed that the VTS is a good precursor for the hydrochar preparation useful in the removal of organic and inorganic pollutants in aqueous media. </span></p>
A Customized Bayesian Algorithm to Optimize Enzyme-Catalyzed Reactions
<p>Data underlying the figures in the publication "A Customized Bayesian Algorithm to Optimize Enzyme-Catalyzed Reactions" published in <em>ACS Sustain. Chem. Eng.</em>, <strong>2023</strong>, <a href="https://doi.org/10.1021/acssuschemeng.3c02402">https://doi.org/10.1021/acssuschemeng.3c02402</a>.</p> <p>Table of contents:</p> <ul> <li><strong>sc3c02402_si_001.pdf</strong>, <strong>sc3c02402_si_002.pdf</strong>, <strong>sc3c02402_si_003.pdf, sc3c02402_si_004.pdf</strong>: DNA sequences, supplementary figures, materials, methods, availability of the program, synthesis protocols</li> <li><strong>sc3c02402_raw_data.zip</strong>: Raw data</li> </ul>
Dataset and Model Files for the Paper "Concrete Type Inference for Code Optimization using Machine Learning with SMT Solving"
<p>Dataset and model files for the paper "Concrete Type Inference for Code Optimization using Machine Learning with SMT Solving".</p>
Eletronic Companion - Optimal Protection System Planning for Distribution Networks: a MILP Approach
<p>This release is associated with a paper entitled "Optimal Protection System Planning for Distribution Networks: a MILP Approach".</p> <p>The attached document provides the data adopted to obtain the results presented in the paper.</p>
Optimized DFT structures for the queous microsolvation of Cu2+ , Zn2+ and Cd2+
<p>Optimized DFT structures for the queous microsolvation of Cu2+ , Zn2+ and Cd2+</p>
Data for the manuscript "Improved Initialisation of Optimal Path Calculations Using Stepwise Traversal over the Image Dependent Pair Potential Surface"
<p>Data of all initial and minimum energy paths presented.</p>
The Optimal use of Segmentation for Sampling Calorimeters
<p><br> Data Features:</p> <ol> <li>Calo setting: ECAL in front of hcal</li> <li>Energy: Uniform in log10 space between 1 - 140 GeV</li> <li>Polar angle: 10 - 30 deg</li> <li>Azimuthal angle: 0 - 360 deg</li> <li>Single Particle: Positive pion</li> <li>Zip files: DiscreteData1, DiscreteData2 so on consists of discrete data used for inference</li> </ol>
Corvids optimize working memory by categorizing continuous stimuli
<p>This repository contains numerical source data for graphs and charts (in a MATLAB struct) presented in our main manuscript: Corvids optimize working memory by categorizing continuous stimuli (Apostel, Panichello, Buschman, Rose).</p> <p>Contact: aylin.klarer@ruhr-uni-bochum.de, jonas.rose@ruhr-uni-bochum.de</p>
Parry_Man-Made_Optimized Concrete
<p>Optimized Typology concrete 3-d print</p>
Understanding and mitigating resistive losses in fired passivating contacts: role of the interfaces and optimization of the thermal budget
<p>We study p-type passivating contacts based on SiC<sub>x</sub> formed via a rapid thermal processing step, using conditions compatible with the firing used to sinter screen-printed metallization pastes in industry. Firstly, we separate the contributions of the two interfaces to the contact resistivity (wafer/contact and contact/metal), identifying tunnelling at the wafer interface as the main contribution. We then investigate the dependence of contact resistivity and sheet resistance of the SiC<sub>x</sub> layer on the concentration of active dopants and we propose strategies to reduce both resistances by increasing the thermal budget applied during firing. Lastly, we discuss potentials and limitations of implementing the investigated stacks as rear side contacts of p-type devices with localized metallization, and we show that an oxide layer that can withstand high thermal budgets is the key factor for obtaining high passivation quality and good electrical properties at the same time. The results obtained with an oxide based on N<sub>2</sub>O plasma oxidation show that this layer is a promising candidate for such an application.</p>
Data and Code for [Localization of Mechanical and Electrical Defects in Dry-Type Transformers Using an Optimized Acoustic Imaging Approach]
Open the record for dataset details and reuse information.
Hybrid analytical surrogate-based process optimization via Bayesian symbolic regression
<p>Dataset associated with the publication "Hybrid analytical surrogate-based process optimization via Bayesian symbolic regression" by Sachin Jog, Daniel Vázquez, Lucas F. Santos, José A. Caballero, and Gonzalo Guillén-Gosálbez. The dataset includes the parameters used in the DACE BB models of case studies 1 and 2, described in sections 5.1.3 and 5.2.3 of the supplementary material, respectively.</p>
Reinforcement learning prioritizes general applicability in reaction optimization - optimization data logs
<p>A zipped file of all optimization data logs for publication "Reinforcement learning prioritizes general applicability in reaction optimization". Included in the files are: acquisition logs for simulation testing with synthetic data, simulation testing with various chemistry datasets and a real time amide coupling optimization</p>
Oropa Optimized Webview
Source: Objaverse 1.0 / Sketchfab
Data: Two-sided profile-based optimality in the stable marriage problem
<p>This data corresponds to the data and experiments described in Section 5 of<br> the following paper:</p> <p>Two-sided profile-based optimality in the stable marriage problem<br> Authors: Frances Cooper and David Manlove</p> <ul> <li>The paper is located at: <a href="https://arxiv.org/abs/1905.06626">https://arxiv.org/abs/1905.06626</a></li> <li>The data is located at: <a href="https://doi.org/10.5281/zenodo.2542703">https://doi.org/10.5281/zenodo.2542703</a></li> <li>The software is located at: <a href="https://doi.org/10.5281/zenodo.1183221">https://doi.org/</a><a href="https://doi.org/10.5281/zenodo.2545798">10.5281/zenodo.2545798</a></li> </ul> <p>See the README for more information.</p> <p>Version 1.0.2 updates:</p> <p>* Updated README</p>
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.