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Dataset results
139 results for “bayesian analysis”
Data from: Parsimony, not Bayesian analysis, recovers more stratigraphically congruent phylogenetic trees
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Data from: Conventional analysis of trial-by-trial adaptation is biased: empirical and theoretical support using a Bayesian estimator
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The impact of estimator choice: Disagreement in clustering solutions across K estimators for Bayesian analysis of population genetic structure across a wide range of empirical datasets
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DATASET: Hierarchical Bayesian Operational Modal Analysis: Theory and Computations
<p>Inquiries about these data sets should be addressed to <strong>Dr. Omid Sedehi</strong> at <strong>osedehi@connect.ust.hk</strong>.</p> <p>To cite this data set, you may refer to <strong>https://doi.org/10.1016/j.ymssp.2020.106663</strong></p>
Bayesian regional flood frequency analysis with GEV hierarchical models under spatial dependency structures (code and dataset)
<p>The provided material contains the dataset and the models' code used in the article named “Bayesian regional flood frequency analysis with GEV hierarchical models under spatial dependency structures”.</p>
Supplementary material for the preprint "GLOSSA: a user-friendly R Shiny application for Bayesian machine learning analysis of marine species distribution"
<p>In this repository we present the code and data for the case studies in "GLOSSA: a user-friendly R Shiny application for Bayesian machine learning analysis of marine species distribution". The GLOSSA website can be accessed at https://jmestret.github.io/glossa/. Occurrence data for <em>Thunnus albacares</em> was obtained from the OBIS database (https://obis.org/taxon/127027), for <em>Caretta caretta</em> from GBIF (https://doi.org/10.15468/dl.es7562), and for <em>Siganus luridus </em>from the GreekMarineICAS geodataset (https://doi.org/10.25607/t2smha), created as part of the ALAS (Aliens in the Aegean – A Sea Under Siege) project.</p>
a Bayesian Analysis of Three Randomised Clinical Trials of Intraoperative Ventilation
ClinicalTrials.gov study NCT05886387. IPD Sharing: Not stated. Countries: 4. Publications: 0.
Data from: Efficient Bayesian analysis of occupancy models with logit link functions
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Impact of breed and sex on porcine endocrine transcriptome: A Bayesian biometrical analysis
GEO Series GSE14739. Sus scrofa. 80 samples. Type: Expression profiling by array.
Bayesian bisulphite sequencing analysis reveals changes in macrophage DNA methylation in glomerulonephritis
GEO Series GSE84719. Rattus norvegicus. 8 samples. Type: Methylation profiling by high throughput sequencing.
FIGURE 3 in Systematic position of Dinidoridae within the superfamily Pentatomoidea (Hemiptera: Heteroptera) revealed by the Bayesian phylogenetic analysis of the mitochondrial 12S and 16S rDNA sequences
FIGURE 3. Phylogenetic tree obtained from the Bayesian inference analysis of the combined 12S and 16S rDNA dataset.
FIGURE. Phylogenetic tree derived from Bayesian analysis, based on nrITS1-5.8S-ITS2 region data. Posterior probability (PP> 0.95) values from the Bayesian analysis are added at the nodes. The scale bar represents the number of nucleotide changes per site. (T) indicates the type specimen for this species. The new species are in bold. in Four new species of Entoloma (Entolomataceae, Agaricomycetes) subgenera Cyanula and Claudopus from Vietnam and their phylogenetic position
FIGURE. Phylogenetic tree derived from Bayesian analysis, based on nrITS1-5.8S-ITS2 region data. Posterior probability (PP> 0.95) values from the Bayesian analysis are added at the nodes. The scale bar represents the number of nucleotide changes per site. (T) indicates the type specimen for this species. The new species are in bold.
Fig. 6. The Bayesian 50 in Several Subspecies or Phenotypic Plasticity? A Geometric Morphometric and Molecular Analysis of Variability of the Mayan Cichlid Mayaheros urophthalmus in the Yucatan
Fig. 6. The Bayesian 50% majority rule tree of M. urophthalmus based on concatenated mitochondrial protein gene fragments (cytb and COI, 1677 bp). Bayesian posterior probability supports are shown at the bases of nodes.
Figure 5 in Colonization of the Southern Hemisphere by fur seals and sea lions (Carnivora: Otariidae) revealed by combined evidence phylogenetic and Bayesian biogeographical analysis
Figure 5. Results of maximum parsimony phylogenetic analysis of combined evidence. Fur seal icons in black represent members of Arctocephalinae and sea lion icons in grey represent members of Otariinae. Nodes with high support (bootstrap ≥ 70) are indicated by a black circle; nodes with moderate support (bootstrap = 50–70) are indicated by a white circle. Extinct taxa are annotated with †.
FIGURE. Phylogram of Tolypocladium generated from Maximum likelihood analysis of ITS, SSU and LSU sequence data. Purpureocillium lilacinum (CBS 284.36) was selected as an outgroup taxon. The tree topology of the ML analysis was similar to the BI. Maximum likelihood bootstrap values greater than 75 and Bayesian posterior probabilities over 0.90 were indicated above the nodes. The scale bar indicates 0.006 changes. The new species was in blue. in Yunnan-Guizhou Plateau: a mycological hotspot
FIGURE. Phylogram of Tolypocladium generated from Maximum likelihood analysis of ITS, SSU and LSU sequence data. Purpureocillium lilacinum (CBS 284.36) was selected as an outgroup taxon. The tree topology of the ML analysis was similar to the BI. Maximum likelihood bootstrap values greater than 75 and Bayesian posterior probabilities over 0.90 were indicated above the nodes. The scale bar indicates 0.006 changes. The new species was in blue.
FIG. 1.—Bayesian analysis tree for 16S in A New Bromeligenous Species of Fritziana Mello-Leitão, 1937 (Amphibia: Anura: Hemiphractidae) from High Elevations in the Serra Dos Órgãos, Rio de Janeiro, Brazil
FIG. 1.—Bayesian analysis tree for 16S sequence (GTR þ G; lnL ¼ 6452.395) of species of Fritziana. Posterior probability nodal support values (>0.8) from the Bayesian consensus tree are labeled above the branches. Different colors correspond to the conspecific lineages analyzed. Photos provided by R. Pontes (F. ohausi), B. Handam (F. fissilis), L.F.G. Peixoto (F. goeldii), and J.L. Gasparini (F. tonimi). A color version of this figure is available online.
Integrative analysis of histone ChIP-seq and gene expression microarray data using Bayesian mixture models
GEO Series GSE49975. Mus musculus. 6 samples. Type: Expression profiling by array.
Comparative efficacy of nonpharmacological interventions over global cognition in people with mild cognitive impairment and dementia: a systematic review and Bayesian network meta-analysis
<p>This database contains information on 122 RCT which compared the effect of different nonpharmacological interventions over global cognition in dementia and mild cognitive impairment. </p>
Label switching problem in Bayesian analysis for gravitational wave astronomy - Supplemental Material
<p>Posterior samples associated to the paper:<br> The Label Switching Problem in Bayesian Analysis for Gravitational Wave Astronomy</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.