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Fig. 2 in Temporal and demographic blood parasite dynamics in two free-ranging neotropical primates
Fig. 2. Individual infection status by parasite by year. Strength and thickness of lines are scaled to the number of individuals that took a given infection trajectory from one year to the next. Two diagonal lines span 2012‾2014 because those individuals were not sampled in 2013. The + symbols represent every infection or non-infection found across all individuals in the study.
Fig. 3 in Temporal and demographic blood parasite dynamics in two free-ranging neotropical primates
Fig. 3. Parasite species richness by species, age class and sex. Colors represent females (black) and males (gray).
Fig. 1 in Temporal and demographic blood parasite dynamics in two free-ranging neotropical primates
Fig. 1. Annual prevalence of single- and co-infections by species. Prevalence indicated for each parasite (dark gray), and each pairwise combination of parasites (light gray). Numbers near the top of each bar show the exact prevalence; black lines indicate 95% confidence intervals; dots indicate expected levels of co-infection (refer to Section 3.2). M-D is co-occurrence of M. mariae and Dipetalonema spp., D-T is Dipetalonema spp. and T. minasense, and M-T is M. mariae and T. minasense.
Fig. 1 in Gastrointestinal parasites in captive and free-ranging Cebus albifrons in the Western Amazon, Ecuador
Fig. 1. From left to right in each row: Hymenolepis sp., Capillaria sp., Strongyloides sp., Prosthenorchis elegans, Strongyle (unidentified), Entamoeba histolytica/dispar/moskovskii/ nuttalli. (40x).
Fig. 1. Urinary parasites, light microscopy. A in Urinary capillariosis in a free-ranging Marsican brown bear (Ursus arctos marsicanus)
Fig. 1. Urinary parasites, light microscopy. A) Mature capillariid egg, 40X, B) Adult female, vulvar appendix, 40X, C) Adult female, anterior extremity, 40X, D) Adult female, posterior extremity, 40X.
Fig. 4. Phylogenetic relationship among the S in Fatal hepatic sarcocystosis in three captive and one free-ranging pinniped
Fig. 4. Phylogenetic relationship among the S. canis-like variants from two Hawaiian monk seals (Monachus schauinslandi) and two California sea lions (Zalophus californianus), a Pacific harbor seal (MT460246) compared against S. canis sequences from two black bears (OR336049, MW136927), a polar bear (DQ176645) and various other Sarcocystis spp. at the complete ITS1 locus. Evolutionary distances were computed using the Tamura-Nei genetic distance model. A Neighbor-Joining midpoint rooted bootstrap consensus tree was inferred from 1000 MUSCLE alignment iterations. Bootstrap percentage values are indicated at the branch points.
Fig. 2 in Fatal hepatic sarcocystosis in three captive and one free-ranging pinniped
Fig. 2. TEM of a schizont with protozoa similar to S. canis in the hepatocyte of a California sea lion (Zalophus californianus) "CSL 1". Merozoites contained micronemes (Mn), a conoid (Co), and a prominent nucleus (Nu), but no rhoptries. Bar = 500 nm.
Fig. 1 in Fatal hepatic sarcocystosis in three captive and one free-ranging pinniped
Fig. 1. Histologic liver sections of a California sea lion (Zalophus californianus) "CSL 2" with numerous coalescing foci of acute necrosis. A. Lower magnification of acute necrosis with Sarcocystis schizonts (black arrow). B. Higher magnification of mature protozoal schizonts with a rosette of merozoites (red arrow) and a schizont with greater than 30 free merozoites (black arrow) within a foci of hepatic necrosis.
Fig. 3 in Fatal hepatic sarcocystosis in three captive and one free-ranging pinniped
Fig. 3. Phylogenetic relationship of the S. canis-like variant isolate CSL-2 that infects pinnipeds from a California sea lion (Zalophus californianus) compared against S. canis from a black bear isolate 11–3173 (OR654898) and various other Sarcocystis spp. Within a 994 nucleotide fragment of the 18S rRNA locus. Evolutionary distances were computed using the Tamura-Nei genetic distance model. A Neighbor-Joining bootstrap consensus tree was inferred from 1000 MUSCLE alignment iterations. Bootstrap percentage values are indicated at the branch points. Toxoplasma gondii was used as an outgroup.
Fig. 2. A in Prevalence and geographic distribution of Babesia conradae and detection of Babesia vogeli in free-ranging California coyotes (Canis latrans)
Fig. 2. A) PCR positivity (indicated by color) of coyotes (Canis latrans) carcasses recovered (▴) in each county between 2015 and 2019. B) Map of southern California including Los Angeles, Orange, Ventura, San Bernardino, Riverside, and San Diego counties showing B. conradae PCR positivity (indicated by color) in each city where coyote carcasses were recovered. The number of coyotes sampled at each location is indicated by the size of the circle.
Fig. 3 in Prevalence and geographic distribution of Babesia conradae and detection of Babesia vogeli in free-ranging California coyotes (Canis latrans)
Fig. 3. Maximum likelihood phylogenetic tree of Babesia positive coyotes (Canis latrans) collected in California from 2015 to 2019 with 7 different published reference sequences from other Babesia species for comparison. Scale bar represents percent of genetic variation along tree branches. Labels include coyote ID and location found. Alphanumeric values in parenthesis denote published GenBank sequence. Clades in <60% of bootstraps are collapsed.
Fig. 1 in Prevalence and geographic distribution of Babesia conradae and detection of Babesia vogeli in free-ranging California coyotes (Canis latrans)
Fig. 1. Base pair differences in a 70 base pair region of the 18S gene from Babesia conradae DNA sequences isolated from California coyotes (Canis latrans) splenic samples collected between 2015 and 2019 compared to published sequence available in GenBank.
Fig. 5 in Death by massive air sac fluke (Trematoda: Bothriogaster variolaris) infection in a free-ranging snail kite (Rostrhamus sociabilis)
Fig. 5. Bayesian inference phylogenetic tree of the Echinostomatoidea superfamily showing the position of trematodes extracted from Snail Kite from Ecuador (in bold). The tree was built using small subunit of the ribosomal RNA gene (18 S rDNA) in Beast v1.10.4. Bayesian posterior probability values ≥ 0.5 are shown in branches. Family, genus, and species from each sequence are listed along with their accession number. Family delimitations are indicated with grey boxes. Sequences of Schinostomatoidea and Opisthorchioidea were used as outgroups. Scale bar indicates number of expected substitutions per site.
Fig. 4 in Death by massive air sac fluke (Trematoda: Bothriogaster variolaris) infection in a free-ranging snail kite (Rostrhamus sociabilis)
Fig. 4. Trematodes in the right abdominal air sac, serosa of gastrointestinal tract and celomic cavity of a Snail Kite (Rostrhamus sociabilis).
Fig. 2 in Death by massive air sac fluke (Trematoda: Bothriogaster variolaris) infection in a free-ranging snail kite (Rostrhamus sociabilis)
Fig. 2. Trematodes in respiratory system and pneumatic bone of a Snail Kite (Rostrhamus sociabilis): A. Macroscopic image of the lungs, with presence of trematodes (arrows) found during necropsy. B. Trematodes (arrows) colonising the lumen of a tertiary bronchus (10x H&E) C. Trematodes (arrows) in an abdominal air sac (10x H&E) D. A parasite (arrow) in the coracoid bone (10x H&E).
Fig. 1 in Death by massive air sac fluke (Trematoda: Bothriogaster variolaris) infection in a free-ranging snail kite (Rostrhamus sociabilis)
Fig. 1. Trematodes in serosa of heart and proventriculus of Snail Kite (Rostrhamus sociabilis): A. Close up image of a trematode (arrow) in the pericardium during necropsy. B. Histologic capture of a trematode (arrow) present in the serosa of the proventriculus (H&E).
Fig. 3 in Death by massive air sac fluke (Trematoda: Bothriogaster variolaris) infection in a free-ranging snail kite (Rostrhamus sociabilis)
Fig. 3. Trematodes in the liver of a Snail Kite (Rostrhamus sociabilis): A. Trematodes (arrows) in the serosa of proventriculus, gizzard and liver found during postmortem procedure. B. Miracidium (arrow) in the liver parenchyma (40x H&E).
Fig. 6 in Death by massive air sac fluke (Trematoda: Bothriogaster variolaris) infection in a free-ranging snail kite (Rostrhamus sociabilis)
Fig. 6. Full body (A), anterior end (B) and posterior end (C) of trematode Bothrigaster variolaris from a Snail Kite (Rostrhamus sociabilis). T = midbody testes, V = ventral sucker, p = pharynx, O = postesticular ovary, E = eggs.
Fig. 4 in Syngamus trachea in free-ranging white stork (Ciconia ciconia) nestlings in Switzerland
Fig. 4. Egg of Syngamus trachea: ellipsoidal, with distinct bipolar opercula, 87.53 μm long and 55.28 μm wide.
Fig. 3 in Syngamus trachea in free-ranging white stork (Ciconia ciconia) nestlings in Switzerland
Fig. 3. SEM image of a female and male Syngamus trachea (A), with a large cup-shaped buccal capsule (indented arrows) in both adult nematodes (B, C) and a prominent but short copulatory bursa (arrow) in the male individual (D).
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.