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Found 2930 dataset(s) matching "Institution Code".
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Python module "optbayesexpt" uses optimal Bayesian experimental design methods to control measurement settings in order to efficiently determine model parameters. Given a parametric model -...
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Python module 'optbayesexpt' uses optimal Bayesian experimental design methods to control measurement settings in order to efficiently determine model parameters. Given an parametric model -...
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To verify and validate the HR-VPTM technique, both synthetic images and gels with embedded particles undergoingcontrolled deformations were used to compared known and reconstructed deformations at...
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This study investigates rates of serious crime for selected public housing developments in Washington, DC, Phoenix, Arizona, and Los Angeles, California, for the years 1986 to 1989. Offense...
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The data, source code and scripts included in this dataset are used to generate the results presented in the manuscript "The min-max test: an objective method for discriminating mass spectra" by...
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The Project on Human Development in Chicago Neighborhoods (PHDCN) was a large-scale, interdisciplinary study of how families, schools, and neighborhoods affect child and adolescent...
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Python module 'optbayesexpt' uses optimal Bayesian experimental design methods to control measurement settings in order to efficiently determine model parameters. Given an parametric model -...
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This study measured the difference that defense counsel made to the outcome of homicide and death penalty cases. One in five indigent murder defendants in Philadelphia were randomly assigned...
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This project aims to create a comprehensive framework for generating radio frequency (RF) datasets, designing deep learning (DL) detectors, and evaluating their detection performance using both...
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This dataset contains historical water temperature profiles collected over the Global Ocean from the HMS Challenger from 1873-2-15 to 1876-5-06. For comparisons, the World Ocean Circulation...
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The data and code that accompanies the book chapter Bayesian Hierarchical Models for Service Life Prediction of Polymers.
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SEDCORR is an open-source Python module designed to correct for the systematic energy deficits in atom probe mass spectra of electrically insulating samples. The assumption of the algorithm is...
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This data collection contains the results of a study created in response to New York State's 1973 revision of its criminal laws relating to drug use. The Association of the Bar of the City...
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This data deposit contains JSON files of phase-shift data and related quantities for pair interactions using state-of-the-art pair potentials for helium (isotopes of mass 3 and 4 and their cross...
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Bathythermograph data was collected by multiple ships between 1968 and 1994. Data is represented only on the original strip charts and/or coding sheets sent to NODC in 1995. There is no digital...
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This codeset was developed for the QoE MCV end to end access time measurement methodology.
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This MIDAS object contains all the data inputs and code necessary to replicate the findings presented in NIST TN2137 using the statistical software Stata.
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Code and demonstration data for the paper, "On-the-fly closed-loop materials discovery via Bayesian active learning," Kusne, A.G., Yu, H., Wu, C. et al. Nat Commun 11, 5966 (2020)....
