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Fig. 3 in Host and geographic differences in prevalence and diversity of gastrointestinal helminths of foxes (Vulpes vulpes), coyotes (Canis latrans) and wolves (Canis lupus) in Quebec´, Canada
Fig. 3. Neighbour-joining tree of Jukes-Cantor distances among sequences of CO1 (alignment 450 bp using all sites) from Alaria available on GenBank as of 7 July 2021. Data from Alaria americana, including data from the present study, indicated by darker shaded cluster and white font. Sequences from A. alata are HM022221-3, KF751233-4, KP123416-20, KP123422-5, KX962374, KX962392, KX962395, KX962397-8, KX962402, KX962406, KX962415, KX962421, KX962433, KX962437, KX962454-5, KX962471-2, KX962481, KX962491, KY012317, MT103215-31; from Alaria sp. in Argentina KF572949, MH892076, MT328804-6; from Alaria sp. in Wisconsin, USA KT223036; from A. americana MZ605217-33 (present study) and MH536507 (indicated with an asterisk).
Fig. 6 in Prevalence and genetic diversity of Haemoproteus and Plasmodium in raptors from Thailand: Data from rehabilitation center
Fig. 6. Haemoproteus spp. infected in Blyth's hawk-eagles (Spizaetus alboniger), KU549 (A-C) and KU589 (D-F). Young gametocytes (A&D), microgametocytes (B&E) and macrogametocytes (C&F). Giemsa staining.
Fig. 2 in Prevalence and genetic diversity of Haemoproteus and Plasmodium in raptors from Thailand: Data from rehabilitation center
Fig. 2. Bayesian phylogeny based on partial cytochrome b gene (479 nucleotides) of Haemoproteus lineages. The lineages isolated in this study are given in red bold. MalAvi lineage codes and GenBank accession numbers are given after species names. Node values indicate percentages of posterior probabilities. Vertical bars indicate clades of subgenus Haemoproteus (A) and Parahaemoproteus (B) Haemoproteus isolated from this study are clustered into two clades (clade I and II). (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 Prevalence and genetic diversity of Haemoproteus and Plasmodium in raptors from Thailand: Data from rehabilitation center
Fig. 3. Heatmap of pairwise genetic distances estimated from nucleotide sequences of the cytochrome b gene (479 nucleotides) of Haemoproteus spp. using the JukesCanter model.
Fig. 1 in Prevalence and genetic diversity of Haemoproteus and Plasmodium in raptors from Thailand: Data from rehabilitation center
Fig. 1. Localities of the raptors included in this study. There were 30 provinces where the raptors are found and submitted into the Kasetsart University Raptor Rehabilitation Unit. These provinces are divided into four groups base on the number of raptors. Bangkok is the most common locality of raptor (n> 100).
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. 3 in First records of prevalence and diversity of avian haemosporidia in snipe species (genus Gallinago) of Japan
Fig. 3. Bayesian phylogenetic analysis of cytb gene lineages (470 bp) of avian haemosporidian parasites, rooted with Theileria annulata. Posterior clade probabilities of>0.60 were indicated. The branch lengths are drawn proportionally to the amount of change according to the substitution model applied. Lineages derived in this study are shown in red letters. Major clades (A–C) containing derived lineages are shown. The host order is shown to the right of the lineage name, according to the provided legend. (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 First records of prevalence and diversity of avian haemosporidia in snipe species (genus Gallinago) of Japan
Fig. 2. Haemosporidian parasite prevalence among snipe species. Asterisk (*) indicates significant differences (p <0.05), and n. s. indicates no significant differences (p ≥ 0.05).
Fig. 1 in First records of prevalence and diversity of avian haemosporidia in snipe species (genus Gallinago) of Japan
Fig. 1. Map of sampling areas, including the prevalence and lineage composition of each area by host species.
Fig. 2 in Neglected parasite reservoirs in wetlands: Prevalence and diversity of avian haemosporidians in waterbird communities in Northeast China
Fig. 2. Diversity (a) and frequency (b) of haemosporidian parasite lineages obtained from waterbirds in Tumuji, China. Sankey diagrams of the correlation between waterbirds (left, sorted by order) and identified haemosporidian lineages (right). The width of the lines indicates proportion to the infection recordings in waterbirds, and the colour of the lines indicates the range of the lineage size. The numbers represent infection cases. (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 Neglected parasite reservoirs in wetlands: Prevalence and diversity of avian haemosporidians in waterbird communities in Northeast China
Fig. 3. Bayesian phylogenetic reconstruction of 479 bp haemosporidian cyt b lineages from waterbirds in Tumuji, China, with Hepatocystis sp. as an outgroup, and several morpho-species were included for a higher resolution of phylogenetic patterns. Posterior probabilities higher than 0.90 are shown by the node. Lineages that were previously recorded and detected in this study are marked in bold. Major monophyletic clades with high support are labelled behind the line (Leucocytozoon: L1-L5; Haemoproteus: H1–H3).
Fig. 1 in Neglected parasite reservoirs in wetlands: Prevalence and diversity of avian haemosporidians in waterbird communities in Northeast China
Fig. 1. Heatmap of the apparent prevalence of waterbird species in the Tumuji National Nature Reserve. Presenting infected waterbird species (left, sorted by order) with prevalence (indicated by colour gradient, scale from 0 to 1). The sample size is shown in parentheses.
Fig. 3 in Distribution, prevalence and intensity of moose nose bot fly (Cephenemyia ulrichii) larvae in moose (Alces alces) from Norway
Fig. 3. The predicted parasite intensity of moose nose bot fly larvae for harvested calves (red), yearlings (blue) and adult (green) moose in central and southern Norway. Predictions from the highest ranked intensity model with study area and age group. (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 Distribution, prevalence and intensity of moose nose bot fly (Cephenemyia ulrichii) larvae in moose (Alces alces) from Norway
Fig. 2. The predicted infection prevalence of moose nose bot fly larvae with increasing moose (host) density. The shaded area shows the 95% confidence interval. Predictions from the highest ranked model with moose density. In the plot we used the function "jitter" in the R package ggeffects (Lüdecke, 2018), which adds small random variation to the data points to better reflect the amount of data for moose densities. Hence, the points do not reflect exact values as they are binomial.
Fig. 1 in Distribution, prevalence and intensity of moose nose bot fly (Cephenemyia ulrichii) larvae in moose (Alces alces) from Norway
Fig. 1. Study areas in southern (Oslo, AurskogHøland and Kongsvinger) and central Norway (Selbu, Tydal, Malvik, Stjørdal and Meråker) with location and moose density (moose density, see Materials and methods) in sampling municipalities. Red filled circle indicate where the moose nose bot fly (Cephenemyia ulrichii) was first found in Norway, and open circles show where moose heads were examined without detection of the moose nose bot fly in 1987 (Nilssen and Haugerud, 1994). Blue circles indicate where the moose nose bot fly were found in Sweden in the late 1970s and 1980s (Steen et al., 1988). (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 5. A in Whale lice (Isocyamus deltobranchium & Isocyamus delphinii; Cyamidae) prevalence in odontocetes off the German and Dutch coasts - morphological and molecular characterization and health implications
Fig. 5. A: Ulcerative lesion with whale lice in harbour porpoise (Phocoena phocoena); B: rake marks with whale lice on pilot whale (Globicephala melas).
Fig. 4 in Whale lice (Isocyamus deltobranchium & Isocyamus delphinii; Cyamidae) prevalence in odontocetes off the German and Dutch coasts - morphological and molecular characterization and health implications
Fig. 4. Maximum likelihood phylogeny tree produced with MEGA (version X), sequences in red box from this study. Bootstrap values (n = 1000 replicates) above 50% are shown above the branches.
Fig. 3 in Whale lice (Isocyamus deltobranchium & Isocyamus delphinii; Cyamidae) prevalence in odontocetes off the German and Dutch coasts - morphological and molecular characterization and health implications
Fig. 3. (A) Isocyamus deltobranchium and (B) Isocyamus delphinii showing the characteristic accessory gills (asterisk).
Fig. 2. A in Whale lice (Isocyamus deltobranchium & Isocyamus delphinii; Cyamidae) prevalence in odontocetes off the German and Dutch coasts - morphological and molecular characterization and health implications
Fig. 2. A: Isocyamus deltobranchium adult male ventral view showing genitalia and accessory gills; B: Isocyamus deltobranchium adult female dorsal view; C: Isocyamus deltobranchium adult female ventral view showing genitalia and broodpouch; D: adult female ventral view with juveniles in brood pouch, all sampled from a stranded harbour porpoise (Phocoena phocoena) on the Dutch coast.
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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.