Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
210
datasets available to search
ShareScore release 0.7.1
Dataset results
210 results for “Bayesian inference”
Data and code for "Spatial evolution of human cultures inferred through Bayesian phylogenetic analysis."
<p>Data and code for "Spatial evolution of human cultures inferred through Bayesian phylogenetic analysis."</p>
Figure 2. Bayesian inference tree inferred from Dataset2 in First molecular phylogeny of the freshwater planarian genus Girardia (Platyhelminthes: Tricladida) unveils hidden taxonomic diversity and initiates resolution of its historical biogeography
Figure 2. Bayesian inference tree inferred from Dataset2 (COI with outgroup). Clades C to R have been collapsed for the sake of clarity. Clade A comprises unclassified samples from Mexico and Texas (USA); Clade B includes identified individuals of Girardia schubarti from Brazil and other unidentified Brazilian individuals. The outgroup (unlabelled lower clade) is composed of several representatives of genera Dugesia and Schmidtea downloaded from GenBank (Appendix). Values at nodes correspond to posterior probability. Scale bar: number of substitutions per nucleotide position.
Prediction error, prior certainty, or belief updating: P3a component function in temporal Bayesian inference
<p>Data for "<strong>Prediction error</strong><strong>, prior certainty, or belief updating: P3a component function in temporal Bayesian inference</strong>"</p>
Figure 3 Bayesian inference tree reconstructed from cytochrome b in Fossorial morphotype does not make a species in water voles
Figure 3 Bayesian inference tree reconstructed from cytochrome b sequences of water vole ArVicola. The tree is rooted with 11 species of Arvicolinae: MicrotUS aGreStiS, M. cabrerae, M. SUbterraneUS, M. lUSitanicUS, M. dUodecimcoStatUS, M. arValiS, Neodon irene, N. leUcUrUS, ChionomYS niValiS, C. roberti, and C. GUd. The branching pattern and branch lengths follow the Bayesian analysis, whereas the first and second numbers on the branches correspond to posterior probability values and bootstrap support in the maximum likelihood tree analyses, respectively. Symbols for morphotypes (∆ – fossorial; □ – aquatic) correspond to those in Figure 1 and Table 1.
FIGURE 4. Bayesian 50 in Gelasia attariana (Scorzonerinae, Cichorieae, Asteraceae), a new species from NW of Iran, inferred from morphological and molecular data
FIGURE 4. Bayesian 50 % majority-rule consensus tree inferred from the nuclear Internal Transcribed Spacer dataset. Values above nodes indicate posterior probability (bold) and jack-knife support (italic), and values below nodes indicate bootstrap support. Tip names correspond to species names and GenBank numbers or DNA numbers for newly generated sequences; see Appendix 1 for specimen details. The star corresponds to the monophyletic Gelasia lineage. Gelasia attariana was highlighted by red color.
Fig. 5. Bayesian consensus tree inferred from 18S in Description of one new, and new data on two known, species of Enchodelus Thorne, 1939 (Dorylaimida: Nordiidae) from Iran
Fig. 5. Bayesian consensus tree inferred from 18S small under TVMef + I model (lnL = 1172.5674; AIC = 2355.1348; freqA = 0.2416; freqC = 0.1799; freqG = 0.2957; freqT = 0.2828; R(a) = 1.6906; R(b) = 8.6571; R(c) = 4.9786; R(d) = 0.5884; R(e) = 8.6571; R(f) = 1; Pinva = 0.6319; Shape = equal). Posterior probability values exceeding 50% are given on appropriate clades.
Fig. 4. Bayesian consensus tree inferred from 18S in Description of one new, and new data on two known, species of Enchodelus Thorne, 1939 (Dorylaimida: Nordiidae) from Iran
Fig. 4. Bayesian consensus tree inferred from 18S under GTR + I + G model (lnL = 5297.7065; AIC = 10 615.4131; freqA = 0.2752; freqC = 0.2114; freqG = 0.2621; freqT = 0.2512; R(a) = 1.8482; R(b) = 5.0147; R(c) = 2.8536; R(d) = 0.2499; R(e) = 11.081; R(f) = 1; Pinva = 0.2089; Shape = 0.7502). Posterior probability values exceeding 50% are given on appropriate clades.
indicate branches. above MrBayes numbers by inferred The . supports Ixodes of probability subgenera 22 posterior the of Inference 16 from Bayesian ticks of indicate genomes mitochondrial branches below 40 numbers of The sequences. RAxML nucleotide by the inferred from support inferred bootstrap Phylogenies Likelihood . 2 FIGURE Maximum in A new subgenus, Australixodes n. subgen. (Acari: Ixodidae), for the kiwi tick, Ixodes anatis Chilton, 1904, and validation of the subgenus Coxixodes Schulze, 1941 with a phylogeny of 16 of the 22 subgenera of Ixodes Latreille, 1795 from entire mitochondrial genome sequences
indicate branches. above MrBayes numbers by inferred The . supports Ixodes of probability subgenera 22 posterior the of Inference 16 from Bayesian ticks of indicate genomes mitochondrial branches below 40 numbers of The sequences. RAxML nucleotide by the inferred from support inferred bootstrap Phylogenies Likelihood . 2 FIGURE Maximum
FIGURE 8—Phylogenetic tree inferred using Bayesian Inference derived from cytochrome c oxidase subunit I in How many species of genus Lernaeopoda Blainville, 1822 (Siphonostomatoida: Lernaeopodidae) are there in the southwestern Atlantic?
FIGURE 8—Phylogenetic tree inferred using Bayesian Inference derived from cytochrome c oxidase subunit I (COI) gene dataset. Numbers in the nodes represent posterior probability (<0.95 are not shown).
FIG. 3 Bayesian phylogenetic tree inferred from 18S in Morphological and Molecular Characterization of Two New and Two Already Known Species of the Genus Pallisentis (Acanthocephala: Quadrigyridae) from India with an Update in Key to the Species
FIG. 3 Bayesian phylogenetic tree inferred from 18S rRNA marker of the four newly generated sequences representing four species and sequence data set of genus Pallisentis from database. The numerical values near internal nodes represent Bayesian posterior probability values
FIG. 4 Bayesian phylogenetic tree inferred from ITS1–5.8S–ITS2 in Morphological and Molecular Characterization of Two New and Two Already Known Species of the Genus Pallisentis (Acanthocephala: Quadrigyridae) from India with an Update in Key to the Species
FIG. 4 Bayesian phylogenetic tree inferred from ITS1–5.8S–ITS2 marker of the four newly generated sequences representing four species and sequence data set of genus Pallisentis from database. The numerical values near internal nodes represent Bayesian posterior probability values.
Data from: Bayesian inference of a historical bottleneck in a heavily exploited marine mammal
Open the record for dataset details and reuse information.
Data from: Approximate Bayesian computation for modular inference problems with many parameters: the example of migration rates
Open the record for dataset details and reuse information.
Data from: Comparing rates of springtail predation by web-building spiders using Bayesian inference
Open the record for dataset details and reuse information.
Data from: Using parsimony-guided tree proposals to accelerate convergence in Bayesian phylogenetic inference
Open the record for dataset details and reuse information.
Data from: Taxonomic reassessment of Clevosaurus latidens Fraser, 1993 (Lepidosauria, Rhynchocephalia) and rhynchocephalian phylogeny based on parsimony and Bayesian inference
Open the record for dataset details and reuse information.
Data from: Bayesian inference of a complex invasion history revealed by nuclear and chloroplast genetic diversity in the colonizing plant, Silene latifolia
Open the record for dataset details and reuse information.
Data from: Bayesian inference reveals positive but subtle effects of experimental fishery closures on marine predator demographics
Open the record for dataset details and reuse information.
StarBeast3: Adaptive parallelised Bayesian inference under the multispecies coalescent
Open the record for dataset details and reuse information.
Data from: Bayesian phylogeographic inferences reveal contrasting colonization dynamics among European groundwater isopods
Open the record for dataset details and reuse information.
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.