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256
datasets available to search
ShareScore release 0.9.0
Dataset results
256 results for “Computational models”
A Model of Computer-assisted Prescription of Erythropoiesis-stimulating Agents (ESA) in Patients Under Hemodialysis
ClinicalTrials.gov study NCT04185519. IPD Sharing: NO. Countries: 1. Publications: 1.
Prediction of the Therapeutic Response in Depression Based on Neuro-computational Modeling Assessment of Motivation
ClinicalTrials.gov study NCT05866575. IPD Sharing: YES. Countries: 1. Publications: 57.
Computer Models of Airways in Children and Young Adults With Sleep Apnea and Down Syndrome
ClinicalTrials.gov study NCT01902407. IPD Sharing: Not stated. Countries: 1. Publications: 1.
The Choice of a Violent Suicidal Means: a MRI Study With Computational Modeling of Decision-making
ClinicalTrials.gov study NCT05230043. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Clinical Outcomes With Electroconvulsive Therapy: Insights From Computational Modelling
ClinicalTrials.gov study NCT03297411. IPD Sharing: Not stated. Countries: 1. Publications: 1.
CoMPaSS-NMD - Computational Models for New Patients Stratification Strategies of HNMD
ClinicalTrials.gov study NCT06734949. IPD Sharing: UNDECIDED. Countries: 2. Publications: 7.
Computational Modeling of Cleft Lip Nasal Deformity and Assessment of Nasal Function and Treatment Outcomes
ClinicalTrials.gov study NCT04150783. IPD Sharing: NO. Countries: 1. Publications: 1.
Integrated Computational modelIng of Right Heart Mechanics and Blood Flow Dynamics in Congenital Heart Disease
ClinicalTrials.gov study NCT03217240. IPD Sharing: UNDECIDED. Countries: 1. Publications: 15.
Data for: Analogous computations in working memory input, output and motor gating: Electrophysiological and computational modeling evidence
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Data from: How large spatially-explicit optimal reserve design models can we solve now? an exploration of current models’ computational efficiency
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Data from: Computational Modeling of Gluteus Medius Muscle Moment Arm in Caviomorph Rodents Reveals Ecomorphological Specializations
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Data from: Assessing the dynamics of natural populations by fitting individual based models with approximate Bayesian computation
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Data from: Using a continuum model to decipher the mechanics of embryonic tissue spreading from time-lapse image sequences: an approximate Bayesian computation approach
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Data from: Validation of the What Matters Index: a brief, patient-reported index that guides care for chronic conditions and can substitute for computer-generated risk models
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Results of high-performance computing parameter sweeps associated with the Zimbabwe agro-pastoral management model
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Data from: Computational research on mobile pastoralism using agent-based modeling and satellite imagery
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Inferring macroevolutionary parameters from on a model of adaptive radiation by Approximate Bayesian Computation - ABC Simulations
<p>Recent advances in DNA sequencing are providing increasingly accurate phylogenetic trees to study, but understanding the evolutionary forces at play in different contexts remains a huge challenge. To tackle this issue, we applied an Bayesian approach to an existing model of phenotypic and species diversification [1] in order to retrieve 11 underlying parameters (such as basal speciation and extinction rates, but also competition strength) from phylogenetic trees with known traits values at the tips.</p> <p>This dataset corresponds to the Approximate Bayesian Computation simulations realized for the inference.</p>
All figures and tables for "Optimized approximate inverse Laplace transform for geo-deformation computation in viscoelastic earth model"
<p>It is the data set of all figures and tables in the paper with title "Optimized approximate inverse Laplace transform for geo-deformation computation in viscoelastic earth model".</p>
Data from: Modeling the internet of things, self-organizing and other complex adaptive communication networks: a cognitive agent-based computing approach
Background: Computer Networks have a tendency to grow at an unprecedented scale. Modern networks involve not only computers but also a wide variety of other interconnected devices ranging from mobile phones to other household items fitted with sensors. This vision of the "Internet of Things" (IoT) implies an inherent difficulty in modeling problems. Purpose: It is practically impossible to implement and test all scenarios for large-scale and complex adaptive communication networks as part of Complex Adaptive Communication Networks and Environments (CACOONS). The goal of this study is to explore the use of Agent-based Modeling as part of the Cognitive Agent-based Computing (CABC) framework to model a Complex communication network problem. Method: We use Exploratory Agent-based Modeling (EABM), as part of the CABC framework, to develop an autonomous multi-agent architecture for managing carbon footprint in a corporate network. To evaluate the application of complexity in practical scenarios, we have also introduced a company-defined computer usage policy. Results: The conducted experiments demonstrated two important results: Primarily CABC-based modeling approach such as using Agent-based Modeling can be an effective approach to modeling complex problems in the domain of IoT. Secondly, the specific problem of managing the Carbon footprint can be solved using a multiagent system approach.
Data from: A computational model of flow between the microscale respiratory structures of fish gills
The gills of most teleost fishes are covered by plate-like structures, the secondary lamellae, that provide the bulk of the respiratory surface area. Water passing over the secondary lamellae exchanges gases with blood passing through the secondary lamellae, forming a system that has served as a classic model of counter-current exchange. In this study, a computational model of flow around the secondary lamellae is used to examine the hydrodynamic consequences of changes to the lamellar morphology. Consistent with previous studies, the interlamellar distance is found to strongly affect the hydrodynamic resistance of the gills. However, the presence of a small gap between the tips of the secondary lamellae is found to have a similar strong effect on the hydrodynamic resistance and flow patterns within the gills. The results from this model have been generally formulated, allowing the calculation of the hydrodynamic resistance for measured morphometric parameters. These results provide a new basis for comparing theoretical predictions of the gill resistance with measured values, and provide a general model for examining the diversity gill morphologies observed in teleost fishes.
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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.
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.