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753 results for “metrics”
Data from: A probabilistic metric for the validation of computational models
A new validation metric is proposed that combines the use of a threshold based on the uncertainty in the measurement data with a normalised relative error, and that is robust in the presence of large variations in the data. The outcome from the metric is the probability that a model's predictions are representative of the real world based on the specific conditions and confidence level pertaining to the experiment from which the measurements were acquired. Relative error metrics are traditionally designed for use with series of data values but orthogonal decomposition has been employed to reduce the dimensionality of data matrices to feature vectors so that the metric can be applied to fields of data. Three previously published case studies are employed to demonstrate the efficacy of this quantitative approach to the validation process in the discipline of structural analysis, for which historical data was available; however, the concept could be applied to a wide range of disciplines and sectors where modelling and simulation plays a pivotal role.
Data from: A comparison of individual-based genetic distance metrics for landscape genetics
A major aim of landscape genetics is to understand how landscapes resist gene flow and thereby influence population genetic structure. An empirical understanding of this process provides a wealth of information that can be used to guide conservation and management of species in fragmented landscapes, and also to predict how landscape change may affect population viability. Statistical approaches to infer the true model among competing alternatives are based on the strength of the relationship between pairwise genetic distances and landscape distances among sampled individuals in a population. A variety of methods have been devised to quantify individual genetic distances, but no study has yet compared their relative performance when used for model selection in landscape genetics. In this study, we used population genetic simulations to assess the accuracy of 16 individual-based genetic distance metrics under varying sample sizes and degree of population genetic structure. We found most metrics performed well when sample size and genetic structure was high. However, it was much more challenging to infer the true model when sample size and genetic structure was low. Under these conditions, we found genetic distance metrics based on principal components analysis were the most accurate (though several other metrics performed similarly), but only when they were derived from multiple principal component axes (the optimal number varied depending on the degree of population genetic structure). Our results provide guidance for which genetic distance metrics maximize model selection accuracy and thereby better inform conservation and management decisions based upon landscape genetic analysis.
Plots of metrics from the regridding benchmark with SCRIP, XIOS,ESMF and YAC
<p>The plots of metrics from the regridding benchmark with SCRIP, XIOS,ESMF and YAC</p>
Absolute Sustainability: Beyond LCA and Green Chemistry Metrics
<p>This is a supplementary data to support my application to the Nina McClelland Memorial Award.</p>
Dataset of code metrics - Extension
<p>Dataset of code metrics</p>
Comparison Metrics for ERA5 against in situ observations in the Arctic
<p>The comparison metrics (R2, slope, RMSE, Pearson correlation coefficient) were produced from a comparison between the ERA5 reanalysis model and in situ observations from ground-based stations in the Arctic. The datasets accompany the manuscript "Comparison of selected surface level ERA5 variables against in situ observations in the Arctic" by Pernov et al. (2023). The Excel files are located in three sub-folders (All, Seasonal, and Temporal). Each variable has its own Excel file. The sub-folder "All" gives the metrics when using all available data from each station at a 1-hour temporal resolution. The sub-folder "Seasonal" gives the metrics when the comparison is made on a seasonal basis, with sub-folders indicating the season. The sub-folder "Temporal" gives the metrics when comparing different temporal resolutions, which are indicated in the sub-folders. </p> <p>For questions, please contact jakob.pernov@epfl.ch or julia.schmale@epfl.ch</p>
Data for "Validating Ionospheric Models Against Technologically Relevant Metrics"
<p>Data for "Validating Ionospheric Models Against Technologically Relevant Metrics"</p>
NAVITAS and ENVISION - Study to Characterize Select Objective Metrics & Clinical Outcomes in Chronic Pain Patients With Boston Scientific Neurostimulation Systems
ClinicalTrials.gov study NCT03240588. IPD Sharing: Not stated. Countries: 1. Publications: 0.
METRIC: Measurement, Education and Tracking in Integrated Care
ClinicalTrials.gov study NCT02702596. IPD Sharing: UNDECIDED. Countries: 0. Publications: 2.
Diabetes RElated to Acute Pancreatitis and Its Mechanisms: Metabolic Outcomes Using Novel CGM Metrics
ClinicalTrials.gov study NCT06401577. IPD Sharing: YES. Countries: 1. Publications: 0.
Use of Serial Plasma NGS as a New Efficacy Metric to Guide Immunotherapy Treatment Discontinuation
ClinicalTrials.gov study NCT06146920. IPD Sharing: YES. Countries: 1. Publications: 0.
Cortical Metrics Assessment Outcome Measure Development in Autism With Memantine Treatment
ClinicalTrials.gov study NCT02353130. IPD Sharing: Not stated. Countries: 0. Publications: 1.
Novel Pharyngeal Metrics to Predict Dysphagia Outcomes
ClinicalTrials.gov study NCT04569097. IPD Sharing: NO. Countries: 1. Publications: 0.
Music & MEmory: A Pragmatic TRial for Nursing Home Residents With ALzheimer's Disease (METRIcAL)_part2
ClinicalTrials.gov study NCT04850807. IPD Sharing: NO. Countries: 1. Publications: 0.
Data from: Quantification of sensitivity and resistance of breast cancer cell lines to anti-cancer drugs using GR metrics
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Data from: Resident species with larger size metrics do not recruit more offspring from the seed bank in old-field meadow vegetation
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Data from: A probabilistic metric for the validation of computational models
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Data from: Social rank, color morph, and social network metrics predict oxidative stress in a cichlid fish
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Data from: Joint allelic effects on fitness and metric traits
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Data from: A comparison of individual-based genetic distance metrics for landscape genetics
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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.