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Fig. 4 in ELAV Intron 8: a single-copy sequence marker for shallow to deep phylogeny in Eupulmonata Hasprunar & Huber, 1990 and Hygrophila Férussac, 1822 (Gastropoda: Mollusca)
Fig. 4 Comparison of ML phylogenetic reconstructions based on ELAVI8 and concatentated ITS1 +2 sequence from 21 California, USA, Haplotrema specimens representing 9 described and 3 undescribed species. The ELAVI8 Haplotrema tree was rooted on a Discidae, a chondrinid, two Orthurethra and two Limacoidea species. This was not possible in
Fig. 5 in ELAV Intron 8: a single-copy sequence marker for shallow to deep phylogeny in Eupulmonata Hasprunar & Huber, 1990 and Hygrophila Férussac, 1822 (Gastropoda: Mollusca)
Fig. 5 Comparison of ML phylogenetic reconstructions based on ELAVI8 and 28S sequence from 50 specimens/37 genera representing all of the major panpulmonate land snail clades identified by
Fig. 3 Base pair coverage across the 1296 in ELAV Intron 8: a single-copy sequence marker for shallow to deep phylogeny in Eupulmonata Hasprunar & Huber, 1990 and Hygrophila Férussac, 1822 (Gastropoda: Mollusca)
Fig. 3 Base pair coverage across the 1296 aligned sites in the ELAVI8 MSA (see ELAVI8_panpul.fas in the Supporting Information). The y-axis represents the percentage of sites that are represented at that location across all specimens
Fig. 2 ELAVI8 PCR yield and stringency across using a 1.1 in ELAV Intron 8: a single-copy sequence marker for shallow to deep phylogeny in Eupulmonata Hasprunar & Huber, 1990 and Hygrophila Férussac, 1822 (Gastropoda: Mollusca)
Fig. 2 ELAVI8 PCR yield and stringency across using a 1.1% Agarose gel in 1 × TBE buffer with GoldView Dye and 3 µl of PCR product from each reaction. Panel A represents 50° C annealing temperature for 40 cycles while B represents the modified touchdown procedure of 54° C anneal for 10 cycles followed by 50° C for 30 cycles. The
FIGURE 1 in Systematic position of Rivina humilis var. humilis, R. humilis var. bracteata and R. bengalensis based on nrDNA ITS and cpDNA rbcL & trnH-psbA sequence data
FIGURE 1. Best ML tree retrieved after analysing 43 taxa of family Phytolaccaceae. The best fit model of evolution GTR+G+I. The tree rooted at Hilleria latifolia (Lee et al. 2013).
FIGURE 3. A–E in Systematic position of Rivina humilis var. humilis, R. humilis var. bracteata and R. bengalensis based on nrDNA ITS and cpDNA rbcL & trnH-psbA sequence data
FIGURE 3. A–E: Rivina humilis L.var. bracteata; A) Habit (inset flowers); B) Infructescence; C) Bract; D) Fruit; E) Seed; F–J: Rivina humilis L. var. humilis; F) Habit (inset flower); G) Infructescence; H) Bract; I) Fruit; J) Seed; K–O: Rivina bengalensis S. C. Srivastava et T. K. Paul; K) Habit (inset flowers); L) Infructescence; M) Bract; N) Fruit; O) Seed.
FIGURE 3. Maximum Likelihood tree generated from the combined ITS and LSU sequences. Bootstrap support values above 50 in A new species of Naematelia (Tremellales, Basidiomycota) from India
FIGURE 3. Maximum Likelihood tree generated from the combined ITS and LSU sequences. Bootstrap support values above 50 are indicated above branches. The new species is indicated in bold. Holotype is represented in red color. Cryptococcus depauperatus was set as the outgroup.
FIGURE 2 in Phylogenetic position of Vanda coelestis (Rchb.f.) Motes (Orchidaceae; Aeridinae): evidence from complete plastome and combined traditional sequences
FIGURE 2. Maximum likelihood tree for Vanda based on combined nuclear (nrITS) and plastid DNA regions (matK, psbA-trnH, and trnL-trnF). The previously recognized sections from Gardiner et al. (2013) are highlighted by the color of branches and species. The numbers near the nodes are bootstrap percentages and Bayesian posterior probabilities (BP, BP, PP). A dash (-) indicates that a node ML MP is inconsistent between the topology of the MP/ML trees and the Bayesian tree; *node is 100 bootstrap percentage or 1.00 posterior probability.
FIGURE 6. T in Molecular phylogenetic and historical biogeographical relationships of Laudakia (Squamata: Agamidae) and intraspecific differentiation of L. stoliczkana inferred from mitochondrial DNA sequences
FIGURE 6. T-test results for morphological indicators. (F = females, M = males, N = northern Xinjiang, S = south Xinjiang)
FIGURE 5 in Molecular phylogenetic and historical biogeographical relationships of Laudakia (Squamata: Agamidae) and intraspecific differentiation of L. stoliczkana inferred from mitochondrial DNA sequences
FIGURE 5. The morphology and tail of Laudakia stoliczkana subspecies. (A & a: L. s. altaica; B & b: L. s. stoliczkana)
FIGURE 4 in Molecular phylogenetic and historical biogeographical relationships of Laudakia (Squamata: Agamidae) and intraspecific differentiation of L. stoliczkana inferred from mitochondrial DNA sequences
FIGURE 4. The estimation of divergence time for Laudakia. (Note: Values are estimated divergence times, and the blue bars are 95% confidence intervals HPD)
FIGURE 3 in Molecular phylogenetic and historical biogeographical relationships of Laudakia (Squamata: Agamidae) and intraspecific differentiation of L. stoliczkana inferred from mitochondrial DNA sequences
FIGURE 3. Bayesian phylogenetic trees of Laudakia species on tandem sequences (CO1 and 16S). (note: the values of nodes near is BPP/BS).
FIGURE 2 in Molecular phylogenetic and historical biogeographical relationships of Laudakia (Squamata: Agamidae) and intraspecific differentiation of L. stoliczkana inferred from mitochondrial DNA sequences
FIGURE 2. Bayesian phylogenetic trees of Laudakia on the sequenced of COI. (note: the values of nodes near is BPP/BS).
FIGURE 1 in Molecular phylogenetic and historical biogeographical relationships of Laudakia (Squamata: Agamidae) and intraspecific differentiation of L. stoliczkana inferred from mitochondrial DNA sequences
FIGURE 1. Bayesian phylogenetic trees of Laudakia on the sequenced of 16S. (note: the values of nodes near is BPP/BS).
Decoding the pedogenic weathering signals from the red clay sequence on the Chinese Loess Plateau
Open the record for dataset details and reuse information.
Comprehensive Structural Variant Benchmark Dataset: 1100 VCF files from long-read sequencing of 10 NCBI individuals
<p>We initially collected 10 NCBI individuals: HG002 family pedigree data (HG002 [son], HG003 [father], HG004 [mother]), the HG005 family pedigree data (HG005 [son], HG006 [father], HG007 [mother]), the NA12878 subject, the HG00096 subject, the HG00512 subject and the CHM13 subject. Then we used PacBio (CLR: Continuous Long Read, CCS: Circular Consensus Sequencing) and Nanopore (ONT) platforms, 5 aligners and 10 callers to construct the pipelines, with most parameters set to default values. After that, except for 6 invalid pipelines(pbmm2-Nanovar, lra-Picky, lra-delly, lra-NanoVar, lra-NanoSV, lra-pbsv), we obtain 1100 VCF files.</p>
The reservoir-induced 2023 Heyuan, earthquake sequence in Guangdong, China and its geodynamic implications
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Properties of intermediate- to high-mass stars in the young cluster M17 Characterizing the (pre-)Zero Age Main Sequence
<p>Data and extra figures of the paper "Properties of intermediate- to high-mass stars in the young cluster M17 -- Characterizing the (pre-)Zero Age Main Sequence" by Frank Backs. Published in Astronomy and Astrophysics.</p> <p>The observed data and the fitted models are included. The fitting algorithm Kiwi-GA is available on Github: https://github.com/sarahbrands/Kiwi-GA</p> <p>Additional figures are available. These figures give an overview of the best fit models for each line like Fig. 1 in the paper. </p>
Fig. 3 in Do we similarly assess diversity with microscopy and high-throughput sequencing? Case of microalgae in lakes
Fig. 3 Correlation between the samples positions obtained on the first axes of the PCA based on microscopy and HTS diatom composition of the samples. There is a highly significant correlation (p <0.001, R 2 = 31%) between both axes
Fig. 4 in Do we similarly assess diversity with microscopy and high-throughput sequencing? Case of microalgae in lakes
Fig. 4 Comparison of the diatom assemblages heterogeneity inside each lake, obtained with HTS and microscopy. Inside lake assemblage heterogeneity is the sum of the Bray-Curtis distances between the three samples of a lake. Correlation is significant (Pearson correlation p <0.001) and follows a linear model (p <0.001, R 2 = 50.8%) (see black line)
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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.
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.