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Figure 8 in Structural and biological characterization of two freshwater mussel shells (Bivalvia: Unionidae)
Figure 8. View of the nacre layer of (A) P. semirugata and (B) L. wheatleyi, where the individual aragonite layers are horizontally overlapping.
Figure 7 in Structural and biological characterization of two freshwater mussel shells (Bivalvia: Unionidae)
Figure 7. Lateral view of the prismatic layer showing the columnar convergent prisms of (A) P. semirugata and (B) L. wheatleyi.
Figure 10 in Structural and biological characterization of two freshwater mussel shells (Bivalvia: Unionidae)
Figure 10 SEM-EDS of the different surfaces of the P. semirugata shells: (A) periostracum layer and (B) nacreous layer.
Figure 3 in Structural and biological characterization of two freshwater mussel shells (Bivalvia: Unionidae)
Figure 3. The growth front of the outer surface of each shell of (A) P. semirugata and (B) L. wheatleyi.
Fig. 2 in Molecular detection and characterization of Leishmania infantum in free- ranging Egyptian mongoose (Herpestes ichneumon)
Fig. 2. Maximum Likelihood (ML) phylogenetic tree of 27 L. infantum nucleotide sequences (410 nt long in the final dataset, including gaps), obtained during this study (MH799321) and others available in GenBank, based on the Hasegawa-Kishino-Yano model (HKY) (Hasegawa et al., 1985). The tree with the highest log likelihood (−1026.87) is shown. Initial tree(s) for the heuristic search were obtained automatically by applying Neighbor-Join and BioNJ algorithms to a matrix of pairwise distances estimated using the Maximum Composite Likelihood (MCL) approach, and then selecting the topology with superior log likelihood value. A discrete Gamma distribution was used to model evolutionary rate differences among sites (5 categories (+G, parameter = 0.3289) (HKY + G). The tree was drawn to scale, with branch lengths measured in the number of substitutions per site. Robustness of the tree nodes was assessed by bootstrapping 1000 times. The graphical edition of the phylogenetic tree was performed with tree explorer, MEGA7 software (Kumar et al., 2016). Only bootstrap (BS) values equal or greater than 70 are shown on the tree, with the exception of the MH799321 cluster wherein the Bs values, although <70, are displayed for the reader. A 2-letter code and a specific colour (Top left) was attributed to each country for better identification of the origin of each strain. Whenever possible, the host was identified by a specific shape (Top left), namely dog (Canis lupus familiaris, star), human (Homo sapiens, triangle), Egyptian mongoose (Herpestes ichneumon, square) and hoary fox (Lycalopex vetulus, diamond). Sampling dates are indicated, whenever available. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 2 in Detection and molecular characterization of Cryptosporidium species in wildcaught pet spiny-tailed lizards
Fig. 2. Phylogenetic relationships between Cryptosporidium sp. from the mastigures and other Cryptosporidium spp. The mid-point tree was generated with the neighbor-joining method using Tamura 3-parameter plus Gamma distribution. Nodal values represent boot strap values (> 50%) for neighbor-joining (left) and ML (right). Circle represents the major reptile-associated species. Bar represents the number of nucleotide substitutions per sites.
Fig. 3 in Detection and molecular characterization of Cryptosporidium species in wildcaught pet spiny-tailed lizards
Fig. 3. Phylogenetic relationships of Cryptosporidium detected from the Arabian blue mastigure and closely-related species/subtypes as inferred by a maximum likelihood analysis of concatenated sequences were constructed from the partial DNA sequences of SSU (left), actin (middle), and HSP70 (right) loci. Numbers represent the boot strap values for NJ (left) and ML (Right). Bar represents the number of nucleotide substitutions per sites. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 1 in Detection and molecular characterization of Cryptosporidium species in wildcaught pet spiny-tailed lizards
Fig. 1. Histological findings of the deceased Arabian blue mastigure. (A) jejunoileum showing villous atrophy, muscle layer edema, and degenerated epithelial cells in the lumen. Bar = 500 μm. (B) Cryptosporidium appear as rounded purple structures (arrowheads) on the microvilli of the epithelial cells. HE staining. Bar = 50 μm. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 1 in Molecular detection and characterization of Leishmania infantum in free- ranging Egyptian mongoose (Herpestes ichneumon)
Fig. 1. Spatial distribution of wild carnivore samples in mainland Portugal. Administrative regions at the district level are indicated. The overall proportion of samples per district is indicated by the grey scale. The abbreviatures of districts are as follows: Viana do Castelo (VC), Braga (BR), Vila Real (VR), Bragança (BG), Porto (PT), Aveiro (AV) Viseu (VS), Guarda (GR), Coimbra (CM), Castelo Branco (CB), Leiria (LR), Santarém (SA), Portalegre (PA), Lisboa (Lx), Setúbal (ST), Évora (EV), Beja (BJ) and Faro (FR). White circles with numbers in red specify the number and location of Egyptian mongooses that were kDNA-positive by PCR. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 1 in Characterization of aortic and brachiocephalic filariasis by Filarioidea sp (Nematoda:Spirurida:Filarioidea) in Mexican ramphastids
Fig. 1. Lesions associated with filariasis in ramphastid birds submitted to the Research and Diagnostic Laboratory for Avian Diseases, College of Veterinary Medicine- UNAM. (A) Cardiopulmonary system with severe thickening of the aortic trunk (arrow), and moderate hypertrophy of the left ventricle. (B) Heart with severe thickening of the aortic and brachiocephalic trunk (arrows), and left cardiac ventricle hypertrophy. (C) Photomicrography of the heart, in the lumen of the left auricle, there are numerous microfilariae, erythrocytes, and thrombocytes. Hematoxylin-eosin (H& E) stain, bar: 50 μm. (D) Photomicrography of a longitudinal section of the aorta artery. The wall is severely enlarged due to abundant presence of connective tissue, chondroid metaplasia, and adult filariae in a cross section (arrows). In the filarial section, cuticle, coelomic musculature, and a gravid uterus are observed. H&E stain, bar: 500 μm. (E) Photomicrography of the aortic wall (arrow); cross section of an adult, female filaria, surrounded by extensive areas of chondroid metaplasia and connective tissue. H&E stain, bar: 200 μm.
Fig. 3. Bayesian phylogenetic tree using the 12S in Characterization of aortic and brachiocephalic filariasis by Filarioidea sp (Nematoda:Spirurida:Filarioidea) in Mexican ramphastids
Fig. 3. Bayesian phylogenetic tree using the 12S mitochondrial sequences for different species of filariae. The number of the nodes indicate the values of support or posterior probability.
Fig. 2 in Characterization of aortic and brachiocephalic filariasis by Filarioidea sp (Nematoda:Spirurida:Filarioidea) in Mexican ramphastids
Fig. 2. (A) Mid-section of a filarial specimen. (B) Lateral view of the distal end of a male filaria. Primordial spicules in the copulatory bursa, distinctive of the gender, are observed (arrow).
Fig. 1. Phylogenetic relationships between the E in Molecular characterization and novel genotypes of Enterocytozoon bieneusi in pet snakes in Beijing, China
Fig. 1. Phylogenetic relationships between the E. bieneusi genotypes identified in this study and other reported genotypes. The relationships were inferred using maximum likelihood analysis of the ITS rRNA gene and the values generated greater than 70% are shown beside the nodes. Genotypes with filled circles and triangles are known and novel genotypes identified in this study, respectively.
Figure 1 in The Combined Expression Patterns of Ikaros Isoforms Characterize Different Hematological Tumor Subtypes
Figure 1. - Location of sites cited in table I, where the new records were gathered. 1) San Jorge, 2) La Poma, 3) Punta del Diablo, 4) Patos Island, 5) El Chivero, 6) La Reina, 7) La Tordilla, 8) San Pedro Mártir.
Figure 1 in Strategies for false positive reduction and multimodal lesion characterization in computer-aided diagnosis of breast cancer
Figure 1. - Representative ultrasound images at four-month post copulation (8 Sep. 2010) before resorption, five-month post copulation (20 Oct. 2010) during resorption, and six-month post copulation (3 Nov. 2010) after resorption. A: Uterine horn; B: Fetus; C: Ovary; D: Follicle.
Fig. 2 in Nasopulmonary mites (Halarachnidae) of coastal Californian pinnipeds: Identity, prevalence, and molecular characterization
Fig. 2. Spatial distribution of marine mammal stranding sites included in the nasopulmonary mite prevalence dataset. The scale is fixed to allow comparison across hosts. Comparison southern sea otter map produced from dataset in Pesapane et al. (2018).
Fig. 1 in Nasopulmonary mites (Halarachnidae) of coastal Californian pinnipeds: Identity, prevalence, and molecular characterization
Fig. 1. Scanning electron micrographs of nasopulmonary mites (Halarachnidae) from marine mammals in California showing the different shapes of opisthosoma (posterior end of the body) and defining dorsal shield (Sh) characteristics, indicated by an arrow. (A) Adult Orthohalarachne attenuata from a northern fur seal, (B) adult O. attenuata from a California sea lion, (C) adult Halarachne miroungae from a northern elephant seal, (D) adult H. halichoeri from a harbor seal, and (E) adult H. halichoeri from a southern sea otter from Pesapane et al. (2018) for comparison.
Fig. 4 in Characterization of the Plasmodium and Haemoproteus parasite community in temperate-tropical birds during spring migration
Fig. 4. Differences by foraging guild among infected birds in the probability of Haemoproteus versus Plasmodium infection adjusted for the significant predictors in the model. Single asterisks with brackets beneath denote significant differences between categories.
Fig. 3 in Characterization of the Plasmodium and Haemoproteus parasite community in temperate-tropical birds during spring migration
Fig. 3. Differences by wintering ground among infected birds in the probability of Haemoproteus versus Plasmodium infection adjusted for the significant predictors in the model. Single asterisks with brackets beneath denote significant differences between categories.
Fig. 2 in Characterization of the Plasmodium and Haemoproteus parasite community in temperate-tropical birds during spring migration
Fig. 2. Differences by avian family in the probabilities of a) infection versus non-infection with a Haemosporidian parasite and b) among infected birds, the Plasmodium versus Haemoproteus infection adjusted for the significant predictors in the respective models. Single asterisks with brackets beneath denote significant differences between families.
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.