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256
datasets available to search
ShareScore release 0.9.0
Dataset results
256 results for “computational modelling”
Computational insights into the Conformational Dynamics of HIV-1 Vpr in lipid bilayer for ion channel modeling
<p>This is the dataset of input files, parameter files and run files for the various protein conformations generated in the study "Computational insights into the Conformational Dynamics of HIV-1 Vpr in lipid bilayer for ion channel modeling"</p>
Datasets used in: Modelling eye-level visibility of urban green space: Optimising city-wide point-based viewshed computations through prototyping
<p>Research data supporting our publication. Full workflows using the R programming language have been provided on <a href="https://github.com/STBrinkmann/protoVS">GitHub</a>. Here we provide external data that has been used for our research, as well as the resulting Viewshed Greenness Visibility Index (VGVI) raster.</p> <p><strong>Datasets</strong></p> <p>Digital Terrain Model (DTM):</p> <ul> <li>Spatial Resolution: 1 m</li> <li>Source: Canada’s Open Government Portal</li> <li>Licence: <a href="https://open.canada.ca/en/open-government-licence-canada">Open Government Licence - Canada</a></li> <li>File name: Vancouver_DTM_1m.tif<br> </li> </ul> <p>Digital Surface Model (DSM):</p> <ul> <li>Spatial Resolution: 1 m</li> <li>Source: Canada’s Open Government Portal</li> <li>Licence: <a href="https://open.canada.ca/en/open-government-licence-canada">Open Government Licence - Canada</a></li> <li>File name: Vancouver_DSM_1m.tif<br> </li> </ul> <p>Landuse</p> <ul> <li>Spatial Resolution: 2 m</li> <li>Source: Land Cover Classification 2014 - 2m LiDAR</li> <li>Licence: <a href="http://www.metrovancouver.org/data">Metro Vancouver</a></li> <li>File name: Vancouver_LULC_2m.tif<br> </li> </ul> <p>VGVI map</p> <ul> <li>Spatial Resolution: 5 m</li> <li>Source: Resulting dataset from our analysis</li> <li>Licence: MIT License</li> <li>File name: vgvi_van.tif</li> </ul>
Data from "Cross-Domain Foundation Model Adaptation: Pioneering Computer Vision Models for Geophysical Data Analysis"
<p>This dataset includes the collected geoscientific data of<strong> lunar images, seismic data, and DAS arrays</strong>.</p> <p>It can be used to test the foundation model adaptation in the geophysical domain.</p> <p>Below are some brief desription of the datasets:</p> <p>1) Lunar images for<strong> crater detection<a href="https://moon.bao.ac.cn/">[CAS]</a></strong> : 1000 are used for training and 199 for testing, each with a size of 1022x1022.</p> <p>2) Seismic data for <strong>geobody identification<a href="https://kaggle.com/competitions/tgs-salt-identification-challenge">[TGS]</a></strong> : 3000 are used for training and 1000 for testing, each with a size of 224x224.</p> <p>3) Seismic data for <strong>facies classification<a href="https://www.aicrowd.com/challenges/seismic-facies-identification-challenge">[SEAM]</a></strong> : 250 are used for training and 45 for testing, each with a size of 1006x782.</p> <p>4) Seismic data for <strong>deep fault detection </strong>: 1081 are used for training and 269 for testing, each with a size of 896x896.</p> <p>5) DAS arrays for <strong>seismic event detection<a href="../records/8270895">[Biondi]</a></strong> : 115 are used for training and 28 for testing, each with a size of 512x512.</p> <p><strong>Tips: All the images are “float32” and the labels are "int8".</strong></p> <p>The test code has been published on GitHub: <strong><a href="https://github.com/ProgrammerZXG/Cross-Domain-Foundation-Model-Adaptation/">Cross-Domain-Foundation-Model-Adaptation</a></strong>.</p>
Computational data on "A Model for the Rapid Assessment of Solution-Structures for 24-Atom Macrocycles: The Impact of β-Branched Amino Acids on Conformation"
<p>The archive contains 5 different folders:<br> <br> 1. mdp_files, that contains all the input files for the minimization, equilibration and molecular dynamics run (in gromacs format);<br> 2. topologies, that contains the equilibrated configurations and topology of the 4 systems studied (in gromacs format);<br> 3. trajectories, that contains the coordinates of the macrocycles during the metadynamics calculations and the relevant metadynamics output files (hills file and energy file);<br> 4. plumed_input, that contains the input file for the metadynamics calculations.<br> 5. gaussian, that contains input and output for the single-point charge calculations.</p>
Assessment of the Accuracy of Surgical Guide Designed From Dental Model Optical Scan Versus Impression Inversion With Markers Techniques in Computer Guided Implantology. Randomized Clinical Trial.
ClinicalTrials.gov study NCT03367949. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Uncertainty Analysis of Computational Model to Simulate Neurostimulation Caused by Gradient Fields in MRI
ClinicalTrials.gov study NCT04674787. IPD Sharing: YES. Countries: 1. Publications: 0.
High Performance Computing of Personalized Cardio Component Models
ClinicalTrials.gov study NCT02235883. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Small Vessel Diseases: Ultra-realistic Microstructure Computational Model to Refine Individual Treatment
ClinicalTrials.gov study NCT06159140. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Computer Modelling of the Cervical Spine Movements in Cervical Dystonia
ClinicalTrials.gov study NCT02894359. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Computer Modeling of Congenital Heart Disease
ClinicalTrials.gov study NCT00366847. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Development of Computational Models to Predict the Short-, Medium- and Long-term Cartilage Degeneration and Pain for Patients With Early-stage Osteoarthritis or Anterior Cruciate Ligament Injury
ClinicalTrials.gov study NCT07134244. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Computer Modeling With Reconstruction of Maxillofacial Skeleton
ClinicalTrials.gov study NCT00583856. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Osteopathic Manipulative Treatment RCT and Computational Modeling for Head Injuries in Mixed Martial Artists
ClinicalTrials.gov study NCT06851234. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Exploratory Research on Constructing a Computational Biological Model Based on NGS for MRD After Breast Cancer Surgery
ClinicalTrials.gov study NCT06595966. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Prospective Validation of Liver Cancer Risk Computation (LIRIC) Models
ClinicalTrials.gov study NCT06140823. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Patient-Specific Computational Walking Models in Improving Surgical and Rehabilitation Treatment in Patients With Pelvic Sarcomas
ClinicalTrials.gov study NCT05054335. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Computational Modeling for Prediction of Acoustic Changes in Vowel Production Due to Orthognathic Surgery
ClinicalTrials.gov study NCT01887977. IPD Sharing: Not stated. Countries: 1. Publications: 0.
A Model Based on Computed Tomography Imaging Parameters to Predict Poor Survival in Patients With Liver Cirrhosis
ClinicalTrials.gov study NCT05208736. IPD Sharing: NO. Countries: 1. Publications: 0.
Computational mOdelliNg of myoCardial pERfusion to Improve ouTcome Prediction Based on cOronary Artery Stenosis and Atherosclerotic Plaque Burden Assessment by Computed Tomography
ClinicalTrials.gov study NCT06337461. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Process Mapping and Data Collection to Inform a Computer Simulation Model of Hospitalised Patients With Bloodstream Infection, Sepsis and Systemic Infection
ClinicalTrials.gov study NCT06271031. IPD Sharing: Not stated. 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.