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83 results for “application of optimization”
Optimizing Quality-Aware Big Data Applications in the Cloud — Supporting Data
<p>Supporting experimental data for the paper "Optimizing Quality-Aware Big Data Applications in the Cloud", submitted to IEEE TCC.</p>
Datasets for Application of particle swarm optimization to understand the mechanism of action of allosteric inhibitors of the enzyme HSD17ß13
<p>Datasets used in the publication '</p> <p>Application of particle swarm optimization to understand the</p> <p>mechanism of action of allosteric inhibitors of the enzyme HSD17ß13'</p>
Rapid Evaluation of Innovative Intervention Components to Maximize the Health Benefits of Behavioral Obesity Treatment Delivered Online: An Application of Multiphase Optimization Strategy
ClinicalTrials.gov study NCT04520256. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
Strategic housing decisions and the evolution of urban settlements: Optimality modelling and empirical application in Ulaanbaatar, Mongolia
Open the record for dataset details and reuse information.
Optimization of cancer risk assessment model for PM2.5-bound PAHs Application in Shanxi of China SM
Open the record for dataset details and reuse information.
Modeling and optimization via ICNNs: A chiller-pump system application
<p>A data set for the paper "A bilevel fast-convergent optimizer via high-fidelity convex models: Application on optimal operation of all-parallel heterogeneous chiller-pump systems", including modeling data collected from BAS and optimization results</p>
Supplementary Material for "High spatial resolution photogrammetry and LiDAR in the Cádiz Bay (SW, Spain): optimizing the application of UAV-techniques to salt marshes" article.
<p>Data presented in the study "High spatial resolution photogrammetry and LiDAR in the Cádiz Bay (SW, Spain): optimizing the application of UAV-techniques to salt marshes" </p>
Data for Optimization of Printed Polyaniline Composites for Gas Sensing Applications
<p>Free available dataset for the publication in MDPI Sensors with the title: "Optimization of Printed Polyaniline Composites for Gas Sensing Applications"</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>
Replication package tied with the paper "WasteLess: An Optimal Provisioner for Self-Adaptive Second-Generation Serverless Applications"
<p>This is the replication package tied with paper "WasteLess: An Optimal Provisioner for Self-Adaptive Second-Generation Serverless Applications" submitted to the 20th International Conference on Software Engineering for Adaptive and Self-Managing Systems (SEAMS'25)</p> <p><strong>Contents<br></strong>The package contains a single zip file (WlessPackage.zip) with all the material used for conducting the paper experimentsation. Refer to the README.md file contained in the zip package for a detailed description of its content.</p>
Optimal control derived sensitivity-enhanced CA-CO mixing sequences for MAS solid-state NMR. Applications in sequential protein backbone assignments.
<p>Raw data pulse sequences and shapes for publication</p> <p><br> ## SEQUENCES ##<br> ./sequences_renamed<br> Pulse programs introduiced in this work. Previous pulse programs can be obtained from https://doi.org/10.5281/zenodo.7016441 or https://optimal-nmr.net/experiments.html</p> <p>## SHAPES ##<br> ./shapes_renamed<br> TROP shaped pulses for homonuclear 13C-13C homonuclear mixing discussed in this work. Heteronuclear shaped pulses can be obtained from https://doi.org/10.5281/zenodo.7016441 or https://optimal-nmr.net/sequences.html</p> <p>## RAW DATA ##<br> to decrease storage demands 3D-processed spectra were deleted and can be recovered using TopSpin command: ftnd 0<br> TopSpin NUS licence is required for processing of the NUS-sampled data. Transformed data can be obtained from authors on request.</p> <p># U-13C,15N,2H,1HN-SH3 sample at 55 kHz MAS<br> ./JB.1p3mm.20221122.sh3.2H13C15N100pcbackexch/1<br> 1H saturation recovery</p> <p>./JB.1p3mm.20221122.sh3.2H13C15N100pcbackexch/2<br> 1H hard pulse calibraton</p> <p>./JB.1p3mm.20221122.sh3.2H13C15N100pcbackexch/3<br> 15N hard pulse calibration</p> <p>./JB.1p3mm.20221122.sh3.2H13C15N100pcbackexch/4<br> conventional hNH with rampCP optimalization</p> <p>./JB.1p3mm.20221122.sh3.2H13C15N100pcbackexch/5<br> sensitivity-enhahced se-hNH with TROP optimalization</p> <p>./JB.1p3mm.20221122.sh3.2H13C15N100pcbackexch/11<br> 2D conventional hNH with rampCP </p> <p>./JB.1p3mm.20221122.sh3.2H13C15N100pcbackexch/12<br> 2D sensitivtiy-enhanced se-hNH with TROP </p> <p>./JB.1p3mm.20221122.sh3.2H13C15N100pcbackexch/13<br> CO hard pulse and hCO CP calibration</p> <p>./JB.1p3mm.20221122.sh3.2H13C15N100pcbackexch/14<br> CA hard pulse and hCA CP calibration</p> <p>./JB.1p3mm.20221122.sh3.2H13C15N100pcbackexch/27<br> CACO homoTROP power optimalization in sensitivity-enhanced se-hCACOHN experiment</p> <p>./JB.1p3mm.20221122.sh3.2H13C15N100pcbackexch/28<br> CACO INEPT delay optimalization in conventional hcoCAcoHN experiment</p> <p>./JB.1p3mm.20221122.sh3.2H13C15N100pcbackexch/31 to 38<br> comparison of hCANH experiment efficiency using combination of coherence transfer methods (rampCP, tmSPICE and TROP) for CAN and NN transfer (see experiment tiles)</p> <p>./JB.1p3mm.20221122.sh3.2H13C15N100pcbackexch/41 to 45<br> comparison of hCONH experiment efficiency using combination of coherence transfer methods (rampCP, tmSPICE and TROP) for CON and NN transfer (see experiment tiles)</p> <p>./JB.1p3mm.20221122.sh3.2H13C15N100pcbackexch/57 and 58<br> optimalization of selective CA and CO 90 and 180 pulse</p> <p>./JB.1p3mm.20221122.sh3.2H13C15N100pcbackexch/59<br> COCA INEPT delay optimalization in conventional hCOcaHN experiment</p> <p>./JB.1p3mm.20221122.sh3.2H13C15N100pcbackexch/60<br> COCA homoTROP power optimalization in sensitivity-enhanced se-hCOCAHN experiment</p> <p>./JB.1p3mm.20221122.sh3.2H13C15N100pcbackexch/69<br> conventional 3D hCANH experiment using tmSPICE CAN transfer; with water suppression after first CP, 15% non-uniform sampled</p> <p>./JB.1p3mm.20221122.sh3.2H13C15N100pcbackexch/70<br> sensitivity-enhanced 3D se-hCANH experiment using TROP transfer; with water suppression after first CP, 15% non-uniform sampled</p> <p>./JB.1p3mm.20221122.sh3.2H13C15N100pcbackexch/72<br> conventional 3D hCONH experiment using tmSPICE CON transfer; with water suppression after first CP, 15% non-uniform sampled</p> <p>./JB.1p3mm.20221122.sh3.2H13C15N100pcbackexch/73<br> sensitivity-enhanced 3D se-hCONH experiment using TROP transfer; with water suppression after first CP, 15% non-uniform sampled</p> <p>./JB.1p3mm.20221122.sh3.2H13C15N100pcbackexch/74<br> sensitivity-enhanced 3D se-hCAcoNH experiment using TROP transfer and homoTROP; with water suppression after first CP, 15% non-uniform sampled</p> <p>./JB.1p3mm.20221122.sh3.2H13C15N100pcbackexch/75<br> conventional se-hcoCAcoNH experiment using tmSPICE CN transfer and INEPT ‘out-and-back’ coCAco transfer; with water suppression before NH transfer, 15% non-uniform sampled</p> <p>./JB.1p3mm.20221122.sh3.2H13C15N100pcbackexch/76<br> sensitivity-enhanced 3D se-hCOcaNH experiment using TROP transfer and homoTROP; with water suppression after first CP, 15% non-uniform sampled</p> <p>./JB.1p3mm.20221122.sh3.2H13C15N100pcbackexch/77<br> conventional 3D hCOcaNH experiment using tmSPICE CN transfer and INEPT ‘complete forward’ COca; with water suppression after first CP, 15% non-uniform sampled</p> <p><br> # U-13C,15N glycine at 16.5 kHz MAS<br> ./MAS_COCa_seTesting/62<br> sensitivity-enhanced se-hCACO experiment with homoTROP pulse without diagonal-phase control</p> <p>./MAS_COCa_seTesting/63<br> sensitivity-enhanced se-hCOCA experiment with homoTROP pulse without diagonal-phase control</p> <p><br> # U-13C,15N-fMLF at 20 kHz MAS<br> ./jb.20211102_fMLF_3.2/2<br> 13C direct excitation spectra</p> <p>./jb.20211102_fMLF_3.2/3<br> 13C and 1H hard-pulse calibration and HC CP optimalization</p> <p>./jb.20211102_fMLF_3.2/4<br> 15N hard-pulse calibration and HC CP optimalization</p> <p>./jb.20211102_fMLF_3.2/5<br> NCA rampCP optimalization</p> <p>./jb.20211102_fMLF_3.2/6<br> NCO rampCP optimalization</p> <p>./jb.20211102_fMLF_3.2/79<br> sensitivity-enhanced se-hNCACO with TROP pulses</p> <p>./jb.20211102_fMLF_3.2/83<br> sensitivity-enhanced se-hNCOCA with TROP pulses</p> <p>./jb.20211102_fMLF_3.2/87<br> conventional hNCACO with rampCP and DREAM mixing</p> <p>./jb.20211102_fMLF_3.2/87<br> conventional hNCOCA with rampCP and DREAM mixing</p>
Input data for executing SELARU 1.0 application for Indonesia energy system optimization case study
<p>Input data for SELARU modelling framework application in a case study to demonstrate the impact of spatially explicit representation for energy system optimization, particularly in depicting incremental grid expansion and its contribution to accumulation of economies of scale. The case study focuses on the electricity sector of Indonesia to represent a highly complex and geographically diverse energy system. SELARU modelling framework is applied using three spatial representations: single-node model, low resolution multi-node model and high resolution multi-node model. Detailed information about the spatial representations can be found in <a href="https://doi.org/10.31219/osf.io/aw4bd">https://doi.org/10.31219/osf.io/aw4bd</a>.</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>
Clarifying the Optimal Application of SLT Therapy Trial
ClinicalTrials.gov study NCT04967989. IPD Sharing: YES. Countries: 2. Publications: 1.
Evaluation of a Mobile Application to Optimize Self-decision on Metabolic Control in Persons With Type 1 Diabetes
ClinicalTrials.gov study NCT05143411. IPD Sharing: YES. Countries: 1. Publications: 5.
Application Value of Whole-procedure Optimization for Catheter Ablation of Atrial Fibrillation
ClinicalTrials.gov study NCT06145906. IPD Sharing: NO. Countries: 1. Publications: 7.
A Multi-Center Study on the Metoprolol Optimal Dosing Pathway of Metoprolol Application in Chinese Patients With Acute Coronary Syndrome
ClinicalTrials.gov study NCT03413410. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
The Impact of an Adaptive Patient-centered Web Application on Medication Optimization in HFrEF Patients
ClinicalTrials.gov study NCT05858320. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Optimizing Recovery After Reverse Shoulder Arthroplasty With a Personalized Mobile Health Application
ClinicalTrials.gov study NCT06520085. IPD Sharing: NO. Countries: 1. Publications: 1.
A Novel mHealth Application Guided by an Optimization Algorithm for T1D Sensor-Augmented Insulin Injection Users
ClinicalTrials.gov study NCT04123054. IPD Sharing: YES. Countries: 1. Publications: 1.
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.