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519 results for “Optimisation”

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zenodo32/100

Optimisation of RCA Content in Mortar Mixture Based on the Long-term Fracture and Fatigue Tests

<p>Data for the experimental study presented in: Optimisation of RCA Content in Mortar Mixture Based on the Long-term Fracture and Fatigue Tests</p>

restrictedcc-by-4.0Jul 2024View details →
zenodo32/100

dataset Master Thesis Optimising parity game solvers using dynamic SCC maintenance

<p>Complete dataset of my Master Thesis&nbsp;Optimising parity game solvers using dynamic SCC maintenance</p>

opencc-by-4.0Aug 2021View details →
zenodo32/100

Raw data and background analysis used in 'On optimising cost and value in eScience'

<p>Raw data and background analysis used in &#39;On optimising cost and value in eScience&#39;.</p> <p>contains:</p> <ul> <li>LOFAR publications per year, including impact per publication (i.e. impact factor of journal at time of publications)</li> <li>instructive artificial example</li> <li>top 500 list, including computational efficiencies (Nov 2017 edition)</li> <li>impact of spectre and meltdown on UDP/IP packet receive performance (raw data and summary)</li> <li>Titan awards and prizes</li> </ul>

opencc-by-4.0Dec 2018View details →
zenodo32/100

DFT optimised structures of Ru(II)-based photocatalysts

<p>DFT optimised xyz structures of a series of&nbsp;[(N,N)<sub>2</sub>Ru(tpphz)RhCp<sup>*</sup>Cl]<sup>n+/-</sup> complexes, where the (N,N) ligand is varied ((N,N)= tbbpy, prbim, prbimOMe2, dmabim, bim). The optimised geometries of the singlet electronic ground state (S0), the triplet metal-to-ligand charge transfer (3MLCT) to the bridging ligand and the triplet metal centred state on the Ru centre (3MC) are provided, as well as the linear interpolated geometries connecting the 3MLCT and 3MC states.</p>

opencc-by-4.0Nov 2022View details →
zenodo32/100

Quality-aware Analysis and Optimisation of Virtual Network Functions

<p><strong>To watch it in Youtube:</strong></p> <p><a href="https://youtu.be/RGwIVCgANcU">https://youtu.be/RGwIVCgANcU</a></p> <p><strong>This is the live presentation of a conference paper. Please, access and cite the published version:</strong></p> <p><a href="https://doi.org/10.1145/3546932.3547007">https://doi.org/10.1145/3546932.3547007</a></p> <p>The softwarisation and virtualisation of network functionality is the last milestone in the networking industry. <em>Software-Defined Networks</em> (SDN) and <em>Network Function Virtualization</em> (NFV) offer the possibility of using software to manage computer and mobile networks and build novel <em>Virtual Network Functions</em> (VNFs) deployed in heterogeneous devices. To reason about the variability of network functions and especially about the quality of a software product defined as a set of VNFs instantiated as part of a service (i.e., Service Function Chaining), a variability model along with a quality model is required.</p> <p>However, this domain imposes certain challenges to quality-aware reasoning of service function chains, such as numerical features or configuration-level <em>Quality Attributes</em> (QAs) (e.g., energy consumption). Incorporating numerical reasoning with quality data into SPL analyses is challenging and tool support is rare. In this work, we present 3 groups of operations: model report, aggregate functions to dynamically convert QAs at the feature-level into the configuration-level, and quality-aware optimisation. Our objective is to test the most complete reasoning tools to exploit the extended variability with quality attributes needed for VNFs.</p>

opencc-by-4.0Sep 2022View details →
zenodo32/100

Dataset for: An optimised organic carbon / elemental carbon (OC/EC) fraction separation method for radiocarbon source apportionment applied to low-loaded Arctic aerosol filters

<p>Dataset contains raw&nbsp;data and R scripts to create the figures.</p>

opencc-by-4.0Feb 2023View details →
zenodo32/100

Flexpart input/output data for "An optimisation method to improve modelling of wet deposition in atmospheric transport models: applied to FLEXPART v10.4"

<p>Flexpart input and output data for the manuscript/paper &quot;An optimisation method to improve modelling of wet deposition in atmospheric transport models: applied to FLEXPART v10.4&quot; by S. Van Leuven, P. De Meutter, J. Camps, P. Termonia and A. Delcloo.</p>

opencc-by-4.0May 2023View details →
zenodo32/100

"Trust Your Neighbours: Handling Noise in Multi-Objective Optimisation Using kNN-Averaging" - Supporting Data

<p>Extracted data used&nbsp;to create the figures supporting the publication &quot;Trust Your Neighbours: Handling Noise in Multi-Objective Optimisation Using kNN-Averaging&quot;, submitted to Applied Soft Computing.</p> <p>&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Jun 2023View details →
zenodo32/100

Supplementary Materials and Raw Data for "Automated Test Suite Generation for Software Product Lines based on Quality-Diversity Optimisation"

<p>Supplementary Materials and Raw Data for &quot;Automated Test Suite Generation for Software Product Lines based on Quality-Diversity Optimisation&quot;</p> <p>1. OnlineSupplement.pdf------Online&nbsp;supplementary data for the paper</p> <p>2. RQ1-4.rar----Raw data for the paper</p> <p>3.&nbsp;Runtime to generate, optimise and execution test suites.xlsx -----Data used in Section 7 PRACTICAL IMPLICATIONS</p> <p>Source code of the algorithms used to produce these data can be found at GitHub&nbsp;https://github.com/gzhuxiangyi/SPLTestingMAP</p>

opencc-by-4.0Apr 2023View details →
zenodo32/100

Raw dataset of "Supersonic: Learning to Generate Source Code Optimisations in C/C++"

<p>The raw unfiltered dataset of &quot;<a href="https://arxiv.org/abs/2309.14846">Supersonic: Learning to Generate Source Code Optimisations in C/C++</a>&quot;.</p>

opencc-by-4.0Sep 2023View details →
zenodo32/100

Carbonyl Sulfide (COS) optimised fluxes and mole fractions from TM5 model

<p>Carbonyl Sulfide (COS) optimised fluxes and mole fractions from TM5 model</p>

opencc-by-4.0Oct 2023View details →
ClinicalTrials.gov32/100

Outcomes Post Treatment: Impact on Motor Impairment of Sleep Efficiency in SCI (OPTIMISE SCI Trial)

ClinicalTrials.gov study NCT05473689. IPD Sharing: NO. Countries: 1. Publications: 1.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

Optimising an Online Self-help Program for Coping With the Loss of a Spouse

ClinicalTrials.gov study NCT05280041. IPD Sharing: NO. Countries: 1. Publications: 12.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

Personalised Simulation Technologies for Optimising Treatment in the Intensive Care Unit

ClinicalTrials.gov study NCT04297397. IPD Sharing: NO. Countries: 1. Publications: 4.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

Fractional Flow Reserve Versus Angiographically Guided Management to Optimise Outcomes in Unstable Coronary Syndromes

ClinicalTrials.gov study NCT01764334. IPD Sharing: YES. Countries: 1. Publications: 31.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov32/100

The Optimising Isolation, Quarantine and Distancing Study for COVID-19 (Optimise)

ClinicalTrials.gov study NCT05323799. IPD Sharing: Not stated. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Adaptation Time Required for the Optimisation of Maia Microperimetry Visual Field Testing

ClinicalTrials.gov study NCT02729818. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Target Dosing of Docetaxel Through Pharmacokinetic/Pharmacodynamic Optimisation of the First Chemotherapeutic Cycle

ClinicalTrials.gov study NCT00703378. IPD Sharing: Not stated. Countries: 1. Publications: 3.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Optimisation of Monitoring for Clinical Research Studies

ClinicalTrials.gov study NCT00780091. IPD Sharing: Not stated. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Optimised Recovery With Accelerated Nutrition and GI Enhancement

ClinicalTrials.gov study NCT00538954. IPD Sharing: Not stated. Countries: 2. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record