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Fig. 1 in Molecular characterization of Blastocystis sp. in captive wildlife in Bangladesh National Zoo: Non-human primates with high prevalence and zoonotic significance
Fig. 1. Phylogenetic tree of the Blastocystis sp. isolates and reference SSU rRNA gene sequences from GenBank based on maximum likelihood analysis. The tree was rooted on Karotomorpha sp. and Protoopalina intestinalis. Bootstrap values> 50% from 1,000 replicates are shown on the nodes. Reference sequences from GenBank have accession number and host designation. The isolates of seven subtypes, with their host designations, are indicated by triangle shape.
Fig. 4 in Molecular prevalence and phylogenetic relationship of Haemoproteus and Plasmodium parasites of owls in Thailand: Data from a rehabilitation centre
Fig. 4. Colour heatmap of pairwise genetic distances estimated from nucleotide sequences of the cytochrome b gene (479 bp) of Haemoproteus spp. based on the Jukes-Canter model. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 3 in Gastrointestinal parasite infestation in the alpine mountain hare (Lepus timidus varronis): Are abiotic environmental factors such as elevation, temperature and precipitation affecting prevalence of parasite species?
Fig. 3. Parasite infestation in faeces and ambient temperature. Correlation between parasite infestation in Alpine mountain hare faeces (n = 52) and average, minimal, and maximal temperature found in Vorarlberg (Austria) during the years 2014 and 2015. Count visualises the number of faecal samples. See text for details on statistics.
Fig. 3 in Molecular prevalence and phylogenetic relationship of Haemoproteus and Plasmodium parasites of owls in Thailand: Data from a rehabilitation centre
Fig. 3. Bayesian phylogeny based on partial cytochrome b gene (479 base pairs) of Haemoproteus species lineages. The lineages reported in this study are given in bold. MalAvi lineage codes and GenBank accession numbers are given after species names. Node values (in percentages) indicate posterior clade probabilities. Vertical bars indicate clades of Haemoproteus subgenus (A), Parahaemoproteus (B). Almost all of the Parahaemoproteus lineages recovered from owls were grouped together (clade B-1, grey box). * indicates lineages infecting Strigiformes.
Fig. 2 in Gastrointestinal parasite infestation in the alpine mountain hare (Lepus timidus varronis): Are abiotic environmental factors such as elevation, temperature and precipitation affecting prevalence of parasite species?
Fig. 2. Number of parasite types per faeces and severity of parasitic infestation. Correlation between number of parasite types per Alpine mountain hare faeces and severity of parasitic infestation (n = 28) found in Vorarlberg (Austria) during the years 2014 and 2015. Count visualises the number of faecal samples. The severity of infestation is indicated by scattered ((+)), low (+), intermediate (++), and high (+++) infestation. See text for details on statistics.
Fig. 1 in Prevalence and distribution of Babesia and Theileria species in roe deer from Spain
Fig. 1. Map of Spain (modified from Morrondo et al., 2017) showing the four ecological areas. Dots represent the presence of Babesia spp. and/or Theileria spp. in each region.
Fig. 1 in Prevalence and diversity of Cryptosporidium spp. in bamboo rats (Rhizomys sinensis) in South Central China
Fig. 1. Phylogenetic relationship of the five gene loci of Cryptosporidium species/genotypes. The Panel A to E are represent the actin, gp60, HSP70, COWP and SSU rDNA gene, respectively. The numbers on the branches are percent bootstrapping values from 1000 replicates. Each sequence is identified by its accession number and Cryptosporidium species/genotypes designation. The triangle filled in black indicate the subtypes identified in this study.
Figure 6 in Intensity and prevalence of some crustacean fish parasites in Turkey and their molecular identification
Figure 6. Livoneca punctata on gill of Alosa immaculata (A), manca (B, D), adult female L. punctata and its juvenile manca (C).
Figure 5 in Intensity and prevalence of some crustacean fish parasites in Turkey and their molecular identification
Figure 5. Infestation of Nerocila spp. on Platichthys flesus (A) and infestation of Nerocila bivittata on Pegusa nasuta (B), mechanic injury on caudal peduncle of sole (C), clear lesions on caudal fin of sea bass (D. labrax) (D).
Fig. 2 in Prevalence of protozoan parasites in small and medium mammals in Texas, USA
Fig. 2. Phylogenetic tree of 18S rRNA gene sequence alignments for Hepatozoon spp. purified from this study (*) and relevant host species extracted from GenBankṜ. In parenthesis are referenced all the GenBankṜ accession numbers of the sequences used to generate this tree. Hepatozoon sp. Sequences detected in this study: M064 = GenBankṜ MN012924; M333 = GenBankṜ MN012925; M006 = GenBankṜ MN012926; M051 = GenBankṜ MN012927; M318 = GenBankṜ MN012928; M468 = GenBankṜ MN012929; M472 = GenBankṜ MN012930; M118 = GenBankṜ MN012931.
Fig. 1 in Prevalence of protozoan parasites in small and medium mammals in Texas, USA
Fig. 1. Phylogenetic tree of 18S rRNA gene sequence alignments for Babesia spp. purified from this study (*) and relevant host species extracted from GenBankṜ. In parenthesis are referenced all the GenBankṜ accession numbers of the sequences used to generate this alignment. As a note, the Babesia Spanish Dog isolate (AY534602) is now reffered to as B. vulpes. Babesia microti -like sequences from this study: M001 = GenBankṜ MN011931; M006 = GenBankṜ MN011932; M050 = GenBankṜMN011933; M051 = GenBankṜ MN011934; M052 = GenBankṜ MN011935. Babesia sp Coco in this study M001 = GenBankṜ MN013190. Babesia sp: M052 = GenBankṜ MN013191.
Fig. 2 in Prevalence of common tick-borne pathogens in white-tailed deer and coyotes in south Texas
Fig. 2. Geographic representation of study area and molecular prevalence of tick-borne pathogens in coyotes of Texas.
Fig. 1 in Prevalence of common tick-borne pathogens in white-tailed deer and coyotes in south Texas
Fig. 1. Texas counties where samples were collected. (A) Purple denotes Jim Hogg and Starr counties where WTD samples were collected from the East Foundation's San Antonio Viejo Ranch while coyote samples originated from counties highlighted in blue (B). (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 4 in An investigation of the prevalence of Giardia agilis in anuran amphibians from fourteen areas in China
Fig. 4. Phylogenetic tree of beta-giardin Phylogenetic tree of beta-giardin, A. G. agilis is distinct from all Giardia species; B. all G. agilis we tested were from the same species.
Fig. 3 in An investigation of the prevalence of Giardia agilis in anuran amphibians from fourteen areas in China
Fig. 3. Phylogenetic tree of SSU rRNA Phylogenetic tree of SSU rRNA, A. G. agilis is distinct from all Giardia species; B. all G. agilis we tested were from the same species.
Fig. 2 in An investigation of the prevalence of Giardia agilis in anuran amphibians from fourteen areas in China
Fig. 2. Distribution of sampling positions All samples were collected from these 14 places of 5 provinces in China. The sizes of circles represent the sample sizes.
Fig. 1 in Interspecific variation of prevalence by Scaphanocephalus (Platyhelminthes: Trematoda: Heterophyidae) metacercariae in parrotfishes (Labridae: Scarini) from an Okinawan coral reef
Fig. 1. Cyst of Scaphanocephalus parasite (arrows) infected on the pectoral fins and lateral body skin of parrotfish Chlorurus sordidus.
Fig. 2 in Interspecific variation of prevalence by Scaphanocephalus (Platyhelminthes: Trematoda: Heterophyidae) metacercariae in parrotfishes (Labridae: Scarini) from an Okinawan coral reef
Fig. 2. Phylogenetic tree of genera in Scarini of Labridae (modified from Streelman et al., 2002) and parasite prevalence in each species. *: 100%.
Fig. 2 in Examining the prevalence of Solenopsis invicta virus 3 (Solinviviridae: Invictavirus) in Solenopsis invicta (Hymenoptera: Formicidae) alates collected in North Florida
Fig. 2. Representative agarose gel depicting detection of Solenopsis invicta virus 3 as determined by polymerase chain reaction using cDNA generated from RNA purified from female alates of Solenopsis invicta. Arrow represents the 258 bp amplicon from Solenopsis invicta virus 3. Lane 1 is a 1 kb DNA ladder and lane 12 is non-template control.
Fig. 1 in Examining the prevalence of Solenopsis invicta virus 3 (Solinviviridae: Invictavirus) in Solenopsis invicta (Hymenoptera: Formicidae) alates collected in North Florida
Fig. 1. Map of Florida illustrating the collection locations and distribution of Solenopsis invicta virus 3 infection rate of female alates of Solenopsis invicta colonies in urban and rural cities of North Florida. Black portions of the pie charts represent the proportion of alates infected with Solenopsis invicta virus 3.
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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.