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28 results for “posterior samples”
Dataset, posterior summaries and posterior samples for quantifying fluctuating selection on seasonal migration versus residence in European shags
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Data from: Bayesian analyses in phylogenetic palaeontology: interpreting the posterior sample
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Data from: The efficacy of consensus tree methods for summarising phylogenetic relationships from a posterior sample of trees estimated from morphological data
Consensus trees are required to summarise trees obtained through MCMC sampling of a posterior distribution, providing an overview of the distribution of estimated parameters such as topology, branch lengths and divergence times. Numerous consensus tree construction methods are available, each presenting a different interpretation of the tree sample. The rise of morphological clock and sampled-ancestor methods of divergence time estimation, in which times and topology are co-estimated, has increased the popularity of the maximum clade credibility (MCC) consensus tree method. The MCC method assumes that the sampled, fully resolved topology with the highest clade credibility contains an adequate summary of the most probable clades, with parameter estimates from compatible sampled trees used to obtain the marginal distributions of parameters such as clade ages and branch lengths. Using both simulated and empirical data, we demonstrate that MCC trees, and trees constructed using the similar maximum a posteriori (MAP) method, often include poorly supported and incorrect clades when summarising diffuse posterior samples of trees. We demonstrate that the paucity of information in morphological datasets contributes to the inability of MCC and MAP trees to present an accurate summary of the posterior distribution. Conversely, majority-rule consensus (MRC) trees report a lower proportion of incorrect nodes when summarising the same posterior samples of trees. Thus, we advocate the use of MRC trees, in place of MCC or MAP trees, in attempts to summarise the results of Bayesian phylogenetic analyses of morphological data.
Quasi-periodic Gaussian process rotation period posterior samples for 1132 Kepler objects of interest.
<p>1132 .h5 files containing light curves, hyperparameter priors, period priors and posterior samples for the QP-GP rotation period model in Angus, Morton, Aigrain, Foreman-Mackey & Rajpaul (2017).</p> <p>1132 .png light curve images.</p> <p>To load the samples in python:</p> <p>>>> df = pd.read_hdf("KOI-1.h5", key="samples")</p> <p>>>> ln_period_samples = df.ln_period</p> <p>>>> ln_A_samples = df.ln_A</p> <p>>>> ln_l_samples = df.ln_l</p> <p>>>> ln_G_samples = df.ln_G</p> <p>>>> ln_sigma_samples = df.ln_sigma</p> <p> </p>
Tests of General Relativity with Binary Black Holes from the second LIGO–Virgo Gravitational-Wave Transient Catalog - Full Posterior Sample Data Release
<p>Data release containing full posterior samples of the following analyses reported in the paper "Tests of General Relativity with Binary Black Holes from the second LIGO–Virgo Gravitational-Wave Transient Catalog" from the LIGO Scientific Collaboration and Virgo Collaboration (<a href="https://doi.org/10.1103/PhysRevD.103.122002">Phys. Rev. D 103, 122002</a>, also available at <a href="https://arxiv.org/abs/2010.14529">arxiv.org:2010.14529</a> and <a href="https://dcc.ligo.org/LIGO-P2000091/public">https://dcc.ligo.org/LIGO-P2000091/public</a>):</p> <ul> <li>Echoes (Sec VII B): ech.zip</li> <li>Inspiral-merger-ringdown consistency test (Sec IV B): imr.zip</li> <li>Lorentz invariance violation test (Sec V I): liv.zip</li> <li>Parametrized tests of general relativity (Sec V A): par.zip</li> <li>Ringdown test (Sec VII A): rin.zip</li> <li>Spin-induced quadrupole moment test (Sec V B): sim.zip</li> </ul> <p>Each zip file contains HDF5 files that can either be read directly with standard HDF5 tools, or using PESummary (<a href="https://docs.ligo.org/lscsoft/pesummary/">https://docs.ligo.org/lscsoft/pesummary/</a>)</p> <p> </p>
Data from: The efficacy of consensus tree methods for summarising phylogenetic relationships from a posterior sample of trees estimated from morphological data
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Posterior samples of high-redshift binary black holes
<p>Catalog of the posterior samples of the simulations reported in the paper "<a href="https://doi.org/10.3847/2041-8213/ac6bea">On the Single-event-based Identification of Primordial Black Hole Mergers at Cosmological Distances</a>" (arXiv:2108.07276).</p>
Correlation Between Missing Posterior Teeth and Vertical Dimension Measurements With Temporomandibular Joint Disorders in a Sample of Adult Egyptian Subjects
ClinicalTrials.gov study NCT06082700. IPD Sharing: NO. Countries: 1. Publications: 0.
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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.