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.
501
datasets available to search
ShareScore release 0.7.1
Dataset results
501 results for “Phylogenetic tree”
FIGURE 1. Phylogenetic tree inferred from a in Ophiocordyceps ovatospora sp. nov. (Ophiocordycipitaceae, Hypocreales), pathogenic on termites from China
FIGURE 1. Phylogenetic tree inferred from a combined ITS, nrSSU, nrLSU, tef-1a, rpb1, rpb2 dataset based on Bayesian inference (BI) and maximum likelihood (ML) analyses. Values at the nodes are BI posterior probabilities (BP) and ML bootstrap proportions (PP), the scale bar 0.02 indicates the number of expected mutations per site. Cordyceps militaris and C. kyusyuensis in the Cordycipitaceae were used as the outgroup. The new species is in bold.
Figure 3. Strict consensus trees from the constrained analyses. First constrained analysis forcing a in Taxonomic, palaeobiological and evolutionary implications of a phylogenetic hypothesis for Ornithischia (Archosauria: Dinosauria)
Figure 3. Strict consensus trees from the constrained analyses. First constrained analysis forcing a monophyletic Silesauridae apart from the 'traditional ornithischians'. Abbreviations: Aphan, Aphanosauria; Herrer, Herrerasauridae. Silhouettes are based on artwork by Márcio L. Castro, Gabriel Lio, Rodrigo T. Müller, Maurício S. Garcia, John Sibbick and Douglas M. Heman.
FIGURE 5. Phylogenetic tree inferred from the 18S in Strongylidium koreanum n. sp. (Protozoa: Ciliophora), a new soil species from South Korea
FIGURE 5. Phylogenetic tree inferred from the 18S rRNA gene sequences showing the position of Strongylidium koreanum n. sp. based on the maximum likelihood (ML) and Bayesian inference (BI) methods. TIM2 + I (0.6080) + G (0.4720) was selected as the best model from jModelTest version 2.1.7. Support values at the nodes represent the bootstrap values of maximum likelihood analysis and the posterior probability of the BI model. Dashes denote bootstrap values <50% or different topologies in ML and BI phylogenies.
FIG. 5.—Phylogenetic tree reconstructed for representative hylodid anurans from a in A New Species of Hŋlodes (Anura, Hylodidae) from Serra do Mar, Southeastern Brazil: The Fourth with Nuptial Thumb Tubercles
FIG. 5.—Phylogenetic tree reconstructed for representative hylodid anurans from a Bayesian inference analysis of the complete 16S mitochondrial gene. Values adjacent to each node are posterior probabilities.
FIGURE 1. Phylogenetic tree constructed from a in Chaetomium albiziae, a new endophytic species from Albizia lebbeck in Iran
FIGURE 1. Phylogenetic tree constructed from a maximum likelihood analysis based on the combined ITS, tub2 and rpb2 sequences of Chaetomium strains. The tree was rooted to Amesia atrobrunnea (CBS 144684). Bootstrap values obtained in maximum likelihood (ML) and maximum parsimony (MP) analyses equal or greater than 50% and Bayesian posterior probability values (BYPP) equal or greater than 0.95 are shown at the nodes, respectively.
Figure 2. Maximum likelihood phylogenetic tree topology derived from the combined 16S in Cryptic and widespread: a recipe for taxonomic misidentification in a freshwater crab species (Decapoda: Potamonautidae: Potamonautes sidneyi) as evident from species delimitation methods
Figure 2. Maximum likelihood phylogenetic tree topology derived from the combined 16S rRNA + COI sequence data, demonstrating the evolutionary relationships within the P. sidneyi s.l. species complex. Statistical support for nodes is provided as posterior probability values above nodes (> 0.95 PP) and bootstrap values below nodes (> 75%). An * or # denotes nodal relationships that were not supported (<0.95 PP/ <75%). Potamonautes sidneyi s.s. (clade 3) localities are marked with a dark blue triangle, while P. danielsi (clade 5) localities are marked by an orange square. The two new species, P. karooensis, (clade 2) and P. Ʋalles (clade 4), are marked by a light-blue circle and a green diamond, respectively. Specimens of P. barbarai are confined to clade 1.
FIGURE 2. Phylogenetic tree inferred using the Cox2 in New species of Lepidocyrtus (Collembola, Entomobryidae) from Italy with a discussion of characters defining European Lepidocyrtus lignorum-group
FIGURE 2. Phylogenetic tree inferred using the Cox2 dataset with ML. Numbers at nodes correspond to UFB values, showing only values> 75%. Vertical bars to the right of the phylogeny correspond to the three molecular species delimitation results (ASAP, ABGD and mPTP from left to right). Scale bar shows number of substitutions per site.
Fig. 31. Phylogenetic tree inferring from a 590 in Review of Dragon Millipedes (Diplopoda, Polydesmida, Paradoxosomatidae) in the Fauna of Vietnam, with Descriptions of Three New Species
Fig. 31. Phylogenetic tree inferring from a 590 bp fragment of 16S rRNA using Maximum Likelihood and Bayesian Inference analyses. Bootstrap and BI values are shown at the node.
Phylogenetic Effect on Tree Radial Growth Depends on Drought and Tree Sizes
<p>This dataset is the calculated Blomberg's K values from tree growth rates.</p>
FIGURE 3. Phylogenetic tree for 34 in Taxonomic reassessment of salamanders (genus Hynobius) from Tsushima Islands Japan, with a resurrection of Hynobius tagoi Dunn, 1923 (Amphibia: Caudata)
FIGURE 3. Phylogenetic tree for 34 Hynobius species and out groups based on the complete cyt b gene sequences (1141 bp) of mtDNA by the Bayesian inference method. The numbers at nodes indicate Bayesian posterior probability (BPP). Asterisks (*) indicate significant supports with BPP of 0.95 or higher.
FIGURE 1. Maximum likelihood phylogenetic tree generated from combined 5.8S in A new addition to the Helvella macropus group (Helvellaceae) from Southwestern China
FIGURE 1. Maximum likelihood phylogenetic tree generated from combined 5.8S+ITS2, LSU, tef-1α, and hsp90 sequenced dataset. Maximum likelihood bootstrap (ML-BP) ≥ 70% and Bayesian posterior probabilities (BI-PP) ≥ 0.95 are indicated above the nodes. Specimen vouchers are noted after the species names. New samples collected in this study are indicated in red. Type specimens are in bold.
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.
Figure 9. Strict consensus tree from the 24 in Systematic revision of the species of Protypotherium (Notoungulata: Interatheriidae) from the Santa Cruz Formation (Early-Middle Miocene), Argentinian Patagonia: a new phylogenetic hypothesis for the Interatheriidae
Figure 9. Strict consensus tree from the 24 MPTs (331 steps) obtained under equally weighted characters. Numbers enclosed in boxes indicate Bremer support (above) and Bootstrap resampling frequencies (below; absolute: top, and GC: boưom).
Data from: Phylogenetic relationships within the lizard clade Xantusiidae: using trees and divergence times to address evolutionary questions at multiple levels
Open the record for dataset details and reuse information.
Data from: One tree to link them all: a phylogenetic dataset for the European Tetrapoda
Open the record for dataset details and reuse information.
Data from: Species Selection Regime and Phylogenetic Tree Shape
Open the record for dataset details and reuse information.
Data from: Tree phylogenetic diversity promotes host–parasitoid interactions
Open the record for dataset details and reuse information.
Data from: The influence of historical dispersal on the phylogenetic structure of tree communities in the tropical Andes
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.