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244 results for “Coalescent”

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zenodo32/100

Figure 3 in Considering gene flow when using coalescent methods to delimit lineages of North American pitvipers of the genus Agkistrodon

Figure 3. Posterior probability of speciation inferred by BPP, version 2.0 (Yang & Rannala, 2010) with an increasing proportion of hybrids included in the dataset for Agkistrodon contortrix (A) and Agkistrodon piscivorus (B). Results are shown for both species with hybrids assigned to the population that contributed the majority of alleles with a fully resolved starting tree (1) and a fully collapsed starting tree (0), as well as hybrids assigned to the population that contributed the minority of alleles with both starting trees.

opennotspecifiedDec 2014View details →
zenodo32/100

Figure 1 in Considering gene flow when using coalescent methods to delimit lineages of North American pitvipers of the genus Agkistrodon

Figure 1. Map of the USA showing the sampling localities and distribution of inferred lineages of Agkistrodon contortrix (A) and Agkistrodon piscivorus (B). The distribution of both species is indicated by a bold outline. The key to the right of each map indicates the population membership of individuals and also identifies admixture in individuals.

opennotspecifiedDec 2014View details →
zenodo32/100

Figure 4 in Considering gene flow when using coalescent methods to delimit lineages of North American pitvipers of the genus Agkistrodon

Figure 4. Niche predictions for each species of the Agkistrodon contortrix complex with hybrids included in training the model (A), Agkistrodon contortrix complex with hybrids excluded (B), Agkistrodon piscivorus complex with hybrids included in training the model (C), Agkistrodon piscivorus complex with hybrids excluded (D), and East and Central lineages of Agkistrodon contortrix inferred by mtDNA (E). The distribution of colubriod samples obtained from the Herpnet database used to correct for sampling bias is shown in (F). Overlap between predicted suitable habitat is indicated by the darkest intermediate shade.

opennotspecifiedDec 2014View details →
zenodo32/100

Figure 5 in Considering gene flow when using coalescent methods to delimit lineages of North American pitvipers of the genus Agkistrodon

Figure 5. The distribution of species within the Agkistrodon contortrix complex (A) and Agkistrodon piscivorus complex (B) inferred by Bayesian species delimitation. Putative hybrids zones are identified with cross-hatches. Distributions are adapted from Gloyd & Conant (1990) and the results from ecological niche modelling.

opennotspecifiedDec 2014View details →
zenodo32/100

Figure 6 in Bayesian Poisson tree processes and multispecies coalescent models shed new light on the diversification of Nawab butterflies in the Solomon Islands (Nymphalidae, Charaxinae, Polyura)

Figure 6. Habitus of Polyura bicolor and Polyura epigenes across the Solomon Islands. Pictures of the upperside (left half) and underside (right half) of the two sexes. All pictures taken by Bernard Turlin.

opennotspecifiedApr 2016View details →
zenodo32/100

Figure 4 in Bayesian Poisson tree processes and multispecies coalescent models shed new light on the diversification of Nawab butterflies in the Solomon Islands (Nymphalidae, Charaxinae, Polyura)

Figure 4. Nuclear haplotype network and maximum-likelihood phylogenetic reconstruction. The haplotype network reconstructed using the concatenated RPS5 and wingless alignments is presented on the left. The phylogenetic hypothesis inferred using the same data set in RA×ML is presented at the top right. A table highlighting the nucleotide substitutions found between Polyura epigenes bicolor and Polyura epigenes* is presented at the bottom right.

opennotspecifiedApr 2016View details →
zenodo32/100

Figure 3 in Bayesian Poisson tree processes and multispecies coalescent models shed new light on the diversification of Nawab butterflies in the Solomon Islands (Nymphalidae, Charaxinae, Polyura)

Figure 3. Comparison of species delimitation results. Graph showing the result of each analysis of species delimitation. The posterior probability of either Polyura bicolor or Polyura epigenes (including Polyura bicolor) as a valid species are shown.

opennotspecifiedApr 2016View details →
zenodo32/100

Figure 2 in Bayesian Poisson tree processes and multispecies coalescent models shed new light on the diversification of Nawab butterflies in the Solomon Islands (Nymphalidae, Charaxinae, Polyura)

Figure 2. Molecular phylogeny and molecular species delimitation results. Bayesian phylogeny as recovered from MrBayes analyses. The nodal supports of both Bayesian-inference (BI) and maximum-likelihood (ML) analyses are shown, with colour coding as indicated in the figure. The cloudogram of the *BEAST analysis showing all posterior species trees is presented at the bottom left. Denser regions indicate a robust support for the inferred relationship.

opennotspecifiedApr 2016View details →
zenodo32/100

Figure 1 in Bayesian Poisson tree processes and multispecies coalescent models shed new light on the diversification of Nawab butterflies in the Solomon Islands (Nymphalidae, Charaxinae, Polyura)

Figure 1. Map of the geographic range of Polyura epigenes in the Solomon Islands. Male habitus of the different subspecies are shown above the name of the taxon. The distribution of each taxa is indicated by a coloured dashed line. The colour of the line refers to the pastille on the side of the taxon name. All pictures were taken by Bernard Turlin. The map is from National Geographic's MapMaker Interactive.

opennotspecifiedApr 2016View details →
zenodo32/100

Figure 5 in Bayesian Poisson tree processes and multispecies coalescent models shed new light on the diversification of Nawab butterflies in the Solomon Islands (Nymphalidae, Charaxinae, Polyura)

Figure 5. Divergence time estimates derived from the *BEAST analysis. Chronogram derived from the posterior trees of dating analysis conducted in BEAST. The 95% credibility intervals are shown at each node of the phylogeny. A map of the Solomon Islands with bathymetry is shown at the top of the figure. The island of Malaita is highlighted in violet. A picture of a female Polyura epigenes bicolor f. cinereus (orange morph) is presented. Picture taken by Bernard Turlin. T in time bar stands for Tarantian.

opennotspecifiedApr 2016View details →
zenodo32/100

Test sets and results for paper 'Rapid localization of gravitational wave sources from compact binary coalescences using deep learning'

<p>This folder contains the input data (signal-to-noise ratio time series for gravitational wave detections) and results (sky localization areas) obtained from the deep learning based sky localization model &#39;GW-SkyLocator&#39;, and the rapid online gravitational wave sky localization tool &#39;BAYESTAR&#39; on a set of injections of gravitational wave signals from compact binary mergers.</p> <p>For details of the work, please refer to the paper, &#39;Rapid localization of gravitational wave sources from compact binary coalescences using deep learning&#39; (https://arxiv.org/abs/2207.14522).</p>

opencc-by-4.0Feb 2023View details →
dryad32/100

Data from: Assessing species boundaries and the phylogenetic position of the rare Szechwan Ratsnake, Euprepiophis perlacea (Serpentes: Colubridae), using coalescent-based methods

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publicSep 2013View details →
dryad32/100

Data from: In the shadows: phylogenomics and coalescent species delimitation unveil cryptic diversity in a Cerrado endemic lizard (Squamata: Tropidurus)

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publicDec 2016View details →
dryad32/100

Data from: Divergence and biogeography of the recently evolved Macaronesian red Festuca (Gramineae) species inferred from coalescence-based analyses

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publicJan 2012View details →
dryad32/100

Data from: Coalescent models characterize sources and demographic history of recent round goby colonization of Great Lakes and inland waters

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publicJan 2019View details →
dryad32/100

Data from: Species delimitation with ABC and other coalescent-based methods: a test of accuracy with simulations and an empirical example with lizards of the Liolaemus darwinii complex (Squamata: Liolaemidae)

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publicMar 2012View details →
dryad32/100

Data from: Pathways of cryptic invasion in a fish parasite traced using coalescent analysis and epidemiological survey

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publicMay 2013View details →
dryad32/100

Data from: Tests of species-specific models reveal the importance of drought in postglacial range shifts of a Mediterranean-climate tree: insights from integrative distributional, demographic and coalescent modelling and ABC model selection

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publicAug 2016View details →
dryad32/100

Data from: Assessing the impacts of positive selection on coalescent-based species tree estimation and species delimitation.

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publicMay 2018View details →
dryad32/100

Data from: What have been and what can be delimited as species using molecular data under the multi-species coalescent model? A case study using Hercules beetles (Dynastes; Dynastidae)

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publicJan 2019View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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