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82 results for “properties prediction”
Random Forest Cloud Model for Predicting Liquid Cloud Microphysical Properties from A-Train Data
<p>Code for creating and analyzing the performance of a random forest model to predict cloud optical depth and cloud top effective radius from A-train satellite observations. Because of storage limitations, this directory does not include full satellite dataset, but the CloudSat data is available from the CloudSat Data Processing center (https://www.cloudsat.cira.colostate.edu/) and the CALIPSO data from NASA's Atmospheric Science Data Center (https://asdc.larc.nasa.gov/project/CALIPSO). </p>
Finite element data collected and Machine learning algorithms to predict the mechanical properties of innovative CLT
<p>This folder includes the data collected from the finite element simulations of the innovative CLT to compute its mechanical properties, the error of the closed-form solutions predicting the bending stiffness in the minor direction D22, the variation of the distance between the Reissner Mindlin and Bending Gradient theory in terms of spacing between lateral lamellas, the hyperparameters tuning of several ML algorithms (Regression Tree, Random Forest, Gradient Boosting and Artificial Neural Network), the ML evaluations, the saved artificial neural network algorithms to predict each mechanical property of innovative CLT, and the ML application to use it.</p>
Prediction of Cognitive Properties of New Drug Candidates for Neurodegenerative Diseases in Early Clinical Development
ClinicalTrials.gov study NCT01487395. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Prediction of Cognitive Properties of Memantine for Neurodegenerative Diseases
ClinicalTrials.gov study NCT02288000. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Predictive Properties of the 6-Minute Stepper Test for Mortality in COPD
ClinicalTrials.gov study NCT06703359. IPD Sharing: YES. Countries: 1. Publications: 0.
AI Algorithms in Prediction of ACS Based on Leukocyte Properties
ClinicalTrials.gov study NCT06384846. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Identification of Microbial Properties Predicting a Worsening Course of Fatty Liver Disease
ClinicalTrials.gov study NCT03748511. IPD Sharing: NO. Countries: 1. Publications: 0.
Predictive Properties of Myocardial Fibrosis Biomarkers on the Outcome of Atrial Fibrillation Ablation
ClinicalTrials.gov study NCT05179902. IPD Sharing: Not stated. Countries: 1. Publications: 0.
A Study Investigating the Predictive Value of Philadelphia Positive Stem Cell Properties in Newly Diagnosed Patients With Chronic Myeloid Leukemia in Chronic Phase Receiving Treatment With Imatinib
ClinicalTrials.gov study NCT01215487. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Predictive Properties of the Hyperventilation Provocation Test for the Diagnosis of the Hyperventilation Syndrome
ClinicalTrials.gov study NCT05100290. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Data from: A polymer dataset for accelerated property prediction and design
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Data from: Mitotic chromosome binding predicts transcription factor properties in interphase
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Data from: Can biosecurity and local network properties predict pathogen species richness in the salmonid industry?
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Ex Vivo Expansion Potential of Murine Hematopoietic Stem Cells: A Rare Property Only Partially Predicted by Phenotype
GEO Series GSE234906. Mus musculus. 4 samples. Type: Other.
Mitotic chromosome binding predicts transcription factor properties in interphase [ATAC-Seq]
GEO Series GSE119781. Mus musculus. 31 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Predictive models for the phase behaviour and solution properties of weak electrolytes: nitric, sulphuric and nitric acids
<p>All computational data for figures presented in the publication. </p>
A new predictive group-contribution ideal-heat-capacity model, and its influence on second-derivative properties calculated using a free-energy equation of state
<p>Calculated data for figures 4-8 presented in publication.</p>
Data related to the article "Molecular dynamics simulations for the prediction of thermophysical properties of plutonium-based molten salts"
<p>Contains input files and data used to generate the figures of the article:</p> <p>Molecular dynamics simulations for the prediction of thermophysical properties of plutonium-based molten salts<br>(Giovanni Pireddu*, Mirella Simoes Santos*, David Lambertin, Timothée Kooyman)<br><br>*:Equal contribution</p> <p>Journal of Nuclear Materials<br>DOI: https://doi.org/10.1016/j.jnucmat.2024.155124</p> <p>The folder EXAMPLE_INPUT_FILES contains typical MetalWalls(https://doi.org/10.21105/joss.02373) (repository(https://gitlab.com/ampere2/metalwalls)) input files used to perform the molecular simulations.</p> <p>The folder DATA_FIGURES contains the processed data used to plot the figures of the paper (see below).</p> <p><br>Figure 2:<br>- 'Fig2_Density.dat' : density as a function of temperature (binary system, calculated from MD simulations)</p> <p>Figure 3:<br>- 'Fig3_HCap.dat' : heat capacity as a function of temperature (binary system, calculated from MD simulations)</p> <p>Figure 4:<br>- 'Fig4_Density.dat' : density as a function of temperature (ternary system, calculated from MD simulations)</p>
An adaptive and interpretable modeling architecture assisted rapid and reliable consensus prediction for hazardous properties of chemicals
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Video Supplement to Technical Note: assessing predicted cirrus ice properties between two deterministic ice formation parameterizations
<p>This video first describes the motivation behind the work presented in "Technical Note: assessing predicted cirrus ice properties between two deterministic ice formation parameterizations", which is to compare two approaches for simulating deterministic ice nucleation. It then details each approach in the context of how in-situ cirrus ice nucleation is simulated in the ECHAM-HAM GCM.</p>
ScienceDex guides
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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.