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BEARdata (Baylor University)
Baylor Electronically Accessible Research Data
Baylor Electronically Accessible Research Data (BEARdata) is the data repository for Baylor University hosted at the Texas Data Repository
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Apr 1, 2021 - Hormone comparison in Whale Earplugs
Crain, Dani, 2021, "Replication Data for: Progesterone measurements from baleen whale earplugs predict reproductive parameters, patterns of senescence, and population rate of increase", https://doi.org/10.18738/T8/SC0YIK, Texas Data Repository, V6
Data from which one can replicate figures and statistical tests from "Progesterone measurements from baleen whale earplugs predict reproductive parameters, patterns of senescence, and population rate of increase" by Crain et al. 2021, Communications Biology
Mar 25, 2021 - A machine learning-based Bayesian optimization solution to nonlinear responses in dusty plasmas
Matthews, Lorin; Ding, Zhiyue; Hyde, Truell, 2021, "Replication Data for: A machine learning-based Bayesian optimization solution to nonlinear responses in dusty plasmas", https://doi.org/10.18738/T8/2YVAGU, Texas Data Repository, V1
Python code for machine learning method to extract coefficients for equation of motion of two interacting dust particles in a plasma environment. Data from experimental measurement of the thermal motion of two vertically-aligned particles are given in the Matlab workspace.
Mar 25, 2021Center for Astrophysics, Space Physics/Engineering Research Dataverse
Replication files for: A machine learning-based Bayesian optimization solution to nonlinear responses in dusty plasmas, Z. Ding, L. S. Matthews and T. W. Hyde, Machine Learning Science and Technology, accepted February 2021. https://iopscience.iop.org/article/10.1088/2632-2153/ab...
Mar 22, 2021 - Aggregate Builder Constant Population
Matthews, Lorin, 2021, "Aggregate_builder_constant_population", https://doi.org/10.18738/T8/CPP7OC, Texas Data Repository, V1
Aggregate Builder constant population -- uses a MC algorithm to select colliding pair based on the collision probability of all possible pairs. Chooses an elapsed time interval for each collision.
Mar 22, 2021Growth of Aggregates in a Protoplanetary Disk
Matlab code to run aggregate builder -- keeping a constant number of particles in the population to compute the probability of collision for any two aggregates, select next most probable pair and an elapsed time interval
Mar 22, 2021 - Growth of Aggregates in a Protoplanetary Disk
Matthews, Lorin, 2021, "Replication Data for: Detailed model of the growth of fluffy dust aggregates in a protoplanetary disk: Effects of nebular conditions", https://doi.org/10.18738/T8/SPIEGK, Texas Data Repository, V1
Matlab code to analyze results and reproduce figures.
Mar 22, 2021Growth of fluffy dust aggregates in a protoplanetary disk
Codes used for analyzing data and creating figures for Detailed model of the growth of fluffy dust aggregates in a protoplanetary disk: Effects of nebular conditions, Astrophysical Journal, 897(2), 182, July 2020. DOI: 10.3847/1538-4357/ab96c2, arXiv:1911.04589
Mar 22, 2021 - Growth of fluffy dust aggregates in a protoplanetary disk
Matthews, Lorin, 2021, "Replication Data for: dust aggregates data", https://doi.org/10.18738/T8/ZAK5PH, Texas Data Repository, V1
Sample output from the Aggregate_Builder_Constant_Population simulation. This data can be used to create the figures in the paper.
Mar 22, 2021Center for Astrophysics, Space Physics/Engineering Research Dataverse
Source and analysis code for data contained in the paper "Detailed model of the growth of fluffy dust aggregates in a protoplanetary disk: Effects of nebular conditions", Astrophysical Journal, 897(2), 182, July 2020. DOI: 10.3847/1538-4357/ab96c2
Aug 17, 2020Digital Scholarship
Contains data generated from projects supported by the 2020 Fundamental of Data Research Fellows Program
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