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.
371
datasets available to search
ShareScore release 0.9.0
Dataset results
371 results for “Likelihood”
Fig. 4. A maximum likelihood tree constructed from a 28S in New record of the cold freshwater dinoflagellate Palatinus apiculatus (Dinophyceae) from the Paldang Reservoir, Korea
Fig. 4. A maximum likelihood tree constructed from a 28S rDNA dataset of the Korean Palatinus apiculatus and other freshwater dinoflagellates. A total of 5,000 replicates were run for bootstrap analyses. Members of the genus Palatinus are highlighted in orange. The isolate from this study and its GenBank No. are given in bold font.
Maximum likelihood reconstruction of low-dose STEM data
<p>This is a test data set for the low-dose reconstruction software available at <a href="https://github.com/Brow71189/low-dose-reconstruction">github.com/Brow71189/low-dose-reconstruction</a>. It is part of my PhD thesis, in particular the appendix, where the reconstruction process is described and the reader should be able to reproduce the results with this data set and the above mentioned software.</p>
Fig. 16. Maximum Composite Likelihood model for 29 in Species turnover between the northern and southern part of the South China Sea in the Elaphropeza Macquart mangrove fly communities of Hong Kong and Singapore (Insecta: Diptera: Hybotidae)
Fig. 16. Maximum Composite Likelihood model for 29 species of Elaphropeza based on COI barcodes from specimens from Singapore and Hong Kong.
Fig. 6. Maximum likelihood tree for 327 in Ultrastructure of Diplophrys parva, a New Small Freshwater Species, and a Revised Analysis of Labyrinthulea (Heterokonta)
Fig. 6. Maximum likelihood tree for 327 heterokonts emphasizing Labyrinthulea and Eogyrea of phylum Bigyra and the non-heterokont outgroups. Internal branches for the five clades at the top of the tree are collapsed, but are being published separately (Cavalier-Smith and Scoble in press); the numbers to their right indicate how many sequences were included in each. Bootstrap supports for bipartitions are based on 1,000 resamplings using GTRMIX option of RAxML. Black bullets indicate 100% bootstrap support. The sequence attributed to 'Labyrinthuloides haliotidis' might be from a thraustochytrid contaminant rather than from Aplanochytrium (=Labyrinthuloides) haliotidis (Leander and Porter 2001).
Figure 1. Maximum Likelihood tree for 40 in A new species of Fejervarya Bolkay, 1915 from the lateritic plateaus of the Goa parts of the Western Ghats
Figure 1. Maximum Likelihood tree for 40 dicroglossid taxa based on 5430 bp of mitochondrial (16S and 12S) and nuclear genes (BDNF, Rhod, Tyr, RAG-2, NCX1, and CXCR4) (*represents the bootstrap values above 50%).
Figure 2. Maximum likelihood tree from 16S rRNA data under the best-fitting model T92 in Notes on the distribution and biology of northern brown shrimp Farfantepenaeus aztecus (Ives, 1891) in the eastern Mediterranean
Figure 2. Maximum likelihood tree from 16S rRNA data under the best-fitting model T92 + G. Numbers above branches indicate bootstrap values among 1000 replicates. Branches without bootstrap numbers mean that the bootstrap values are below 50%.
Figure 2. Maximum-likelihood trees for J in Mitochondrial evidence indicates a shallow phylogeographic structure for Jaculus blanfordi (Murray, 1884) populations (Rodentia: Dipodidae)
Figure 2. Maximum-likelihood trees for J. blanfordi mtDNA haplotypes in different datasets for cyt b (1110 bp), COI (618 bp), and COI + cyt b (313 bp + 284 bp). The numbers next to the nodes indicate the bootstrap (>50%) and posterior probability (>0.50) values obtained by maximum-likelihood and Bayesian inference, respectively. The trees are rooted with haplotypes from J. orientalis and J. jaculus. See Table 1 and Figure 1 for the haplotype designations and corresponding localities.
Figure. Phylogram showing phylogenetic relationships estimated using maximum likelihood analysis of 16S rRNA and COXI gene revealed the grouping of Orthochirus iranus, O. farzanpay, O. stockwelli, O. zagrosensis, O. innesi (JQ514244.1 Morocco), and O. bicolor (KT716038.1 India), with the outgroup species Androctonus crassicauda (FJ217732). in A study of genetic diversity among different population of Orthochirus sp. based on cytochrome C oxidase subunit I and 16srRNA sequencing
Figure. Phylogram showing phylogenetic relationships estimated using maximum likelihood analysis of 16S rRNA and COXI gene revealed the grouping of Orthochirus iranus, O. farzanpay, O. stockwelli, O. zagrosensis, O. innesi (JQ514244.1 Morocco), and O. bicolor (KT716038.1 India), with the outgroup species Androctonus crassicauda (FJ217732).
Figure 4. A maximum likelihood tree using cytochrome c oxidase subunit 1 in DNA barcoding of black cherry aphid Myzus cerasi (Fabricus, 1775) (Hemiptera: Aphididae) populations collected from Prunus avium and Prunus cerasus
Figure 4. A maximum likelihood tree using cytochrome c oxidase subunit 1 sequences from Myzus cerasi populations.
Fig. 3. Maximum likelihood tree for Culex species showing the 5 clades representing 5 subgroups. Clade I in Mosquito identification and haemosporidian parasites detection in the enclosure of the African penguins (Spheniscus demersus) at the SANBI zoological garden
Fig. 3. Maximum likelihood tree for Culex species showing the 5 clades representing 5 subgroups. Clade I is the Trifilatus Subgroup (Mattingly and Rageau, 1958) for Cx. torrentium; Clade II and III are the Pipiens Complex; Clade IV the Theileri Subgroup (Sirivanakarn, 1976) for Cx. theileri; and Clade V is the Tarsalis (Edwards, 1932) for Cx. declaratory and Apicinus Subgroups (Edwards, 1932) for Cx. mollis. Lutzia sp. used as outgroups. Sequences from this study are indicated by asterisks (*).
Fig. 5. Maximum likelihood phylogenetic tree inferred from nucleotide sequence data from mitochondrial 16S in A herpetological survey of western Zambia
Fig. 5. Maximum likelihood phylogenetic tree inferred from nucleotide sequence data from mitochondrial 16S rRNA of Phrynobatrachus natalensis. Numbers above branches are non-parametric bootstrap support values. Specimen vouchers or GenBank accession numbers are shown in parentheses. Colored polygons highlight the clades comprising specimens from this study. (*) Nearest sample from type locality of Phrynobatrachus natalensis; (**) Haplotype groups A and B in Zimkus and Schick (2010).
Fig. 4. Maximum likelihood tree generated using ITS1-5.8S-ITS2 in Morphological and molecular description of Pallisentis roparensis n. sp. (Acanthocephala: Quadrigyridae) infecting the freshwater cat fish Wallago attu from Ropar Wetland, Punjab, India
Fig. 4. Maximum likelihood tree generated using ITS1-5.8S-ITS2 gene sequence of Pallisentis roparensis and the sequences of related taxa downloaded from GenBank. Numbers near internal nodes show ML bootstrap clade frequencies.
Fig. 3. Maximum likelihood tree generated using 28S in Morphological and molecular description of Pallisentis roparensis n. sp. (Acanthocephala: Quadrigyridae) infecting the freshwater cat fish Wallago attu from Ropar Wetland, Punjab, India
Fig. 3. Maximum likelihood tree generated using 28S rRNA gene sequence of Pallisentis roparensis and the sequences of related taxa downloaded from GenBank. Numbers near internal nodes show ML bootstrap clade frequencies.
Fig. 2. Maximum likelihood tree generated using 18S in Morphological and molecular description of Pallisentis roparensis n. sp. (Acanthocephala: Quadrigyridae) infecting the freshwater cat fish Wallago attu from Ropar Wetland, Punjab, India
Fig. 2. Maximum likelihood tree generated using 18S rRNA gene sequence of Pallisentis roparensis and the sequences of related taxa downloaded from GenBank. Numbers near internal nodes show ML bootstrap clade frequencies.
Fig. 2. Maximum likelihood tree constructed from partial cox1 in Spirometra infection in a captive Samar cobra (Naja samarensis) in the United States: An imported case?
Fig. 2. Maximum likelihood tree constructed from partial cox1 gene sequences of Spirometra samples and related taxa. HKY + G + I was used as the best substitution model. Schistocephalus solidus and Dibothriocephalus nihonkaiensis were used as outgroups. (JPN – Japan; KOR – South Korea; CHI and CHN – China; AUS – Australia; IRA – Iran; USA – United States; THA – Thailand; MMR – Myanmar; TZA – Tanzania; IND – India; VNM – Vietnam; KHM – Cambodia; LAO – Laos; COL – Colombia; NZL – New Zealand; IDN – Indonesia; ROU – Romania; SSD – South Sudan; ETH – Ethiopia; POL – Poland; UKR – Ukraine; FIN – Finland; CHL – Chile; BRA – Brazil).
Fig. 1. Maximum likelihood tree generating from a 399 in Isolation and Characterization of Polymorphic Microsatellite Loci for Caridina cantonensis and Transferability Across Eight Confamilial Species (Atyidae, Decapoda)
Fig. 1. Maximum likelihood tree generating from a 399-bp long COI dataset (GenBank accession no. MH176649-MH176993). SH-alrt/ bootstrap support values are indicated at major nodes. Each coloured notation represents one species.
Data and Software associated with the paper "``A New Likelihood-based Test for Natural Selection''"
<p>Data and Software associated with the paper ``A New Likelihood-based Test for Natural Selection''</p>
Fig. 3. Maximum likelihood phylogeny from 882 in A fresh start in ambersnail (Gastropoda: Succineidae) taxonomy: finding a foothold using a widespread species of Oxyloma
Fig. 3. Maximum likelihood phylogeny from 882 bp alignment of 15 LSU sequences presenting only the focal taxa and localities. Ultra-fast bootstrap values indicated behind the nodes supported. Full 51-individual analysis reported in Supp. file 2, Supp. file 3. Type localities indicated with an *.
Fig. 2. Maximum likelihood phylogeny from 690 in A fresh start in ambersnail (Gastropoda: Succineidae) taxonomy: finding a foothold using a widespread species of Oxyloma
Fig. 2. Maximum likelihood phylogeny from 690 bp alignment of 34 COI sequences presenting only the focal taxa and localities. Ultra-fast bootstrap values indicated behind the nodes supported. Full 142-individual analysis reported in Supp. file 2, Supp. file 3. Type localities indicated with an *. Species supported by species delimitation analyses indicated with a hollow circle.
Fig. 1. Maximum likelihood tree inferred from the COI dataset with 1000 in Seven new giant pill-millipede species and numerous new records of the genus Zoosphaerium from Madagascar (Diplopoda, Sphaerotheriida, Arthrosphaeridae)
Fig. 1. Maximum likelihood tree inferred from the COI dataset with 1000 bootstrap pseudoreplicates implementing the GTR + I + G model. Colors representing newly described species of Zoosphaerium: orange = Z. nigrum sp. nov.; green = Z. silens sp. nov.; red = Z. ambatovaky sp. nov.; yellow = Z. beanka sp. nov.; purple = Z. voahangy sp. nov.; blue = Z. masoala sp. nov. Round-cornered rectangles indicate well-supported sister group relationships.
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.