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Fig. 1 in Using occupancy models to investigate the prevalence of ectoparasitic vectors on hosts: An example with fleas on prairie dogs
Fig. 1. Map of the study area within the Vermejo Park Ranch, Colfax County, New Mexico, showing old and young, and natural and translocation colonies of black-tailed prairie dogs (Cynomys ludovicianus). Gray areas indicate extent of prairie dog colonies in 2009.
Fig. 6 in Using occupancy models to investigate the prevalence of ectoparasitic vectors on hosts: An example with fleas on prairie dogs
Fig. 6. Probabilities of flea occupancy (W) and flea colonization (γ) for black-tailed prairie dogs (Cynomys ludovicianus) in plots with differing densities of prairie dogs during May–September 2011, at the Vermejo Park Ranch, New Mexico. Solid lines depict estimates and dotted lines depict 95% confidence intervals.
Fig. 1. A in Endoparasites of the raccoon dog (Nyctereutes procyonoides) and the red fox (Vulpes vulpes) in Denmark 2009-2012 - A comparative study
Fig. 1. A map of Denmark showing the regions where the animals were sampled from 2009 to 2012. The grey shading indicates the mainland (Jutland), and the black shading the islands (Zealand, Funen, MØn, Lolland). Numbers above the bars are the sample sizes of each host species in each region.
Fig. 1 in First findings of Trichinella spiralis and DNA of Echinococcus multilocularis in wild raccoon dogs in the Netherlands
Fig. 1. Finding locations of the raccoon dogs in the Netherlands. Finding locations are indicated with black dots. The finding location of the raccoon dog positive for E. multilocularis is indicated with a green star, the finding location of the raccoon dog positive for T. spiralis is indicated with a red square. Names of the relevant provinces are shown on the map. The marked areas represent the areas in which red foxes positive for Echinococcus multilocularis have been detected in previous studies.
Fig. 2 in Surrogate hosts: Hunting dogs and recolonizing grey wolves share their endoparasites
Fig. 2. Normalized helminth prevalence in hunting dogs from the wolf area (dark grey, n = 49) and control area without wolves (light grey, n = 29). Lack of statistical significance was determined using a GLM.
Fig. 3. S. grueneri and S in Surrogate hosts: Hunting dogs and recolonizing grey wolves share their endoparasites
Fig. 3. S. grueneri and S. taeniata developmental cycles with their intermediate and definitive host in areas without wolves (A) and with wolves (B). In wolf habitats, wolves increase S. grueneri prevalence in their prey, in turn leading to a higher infection rate in hunting dogs. S. grueneri and S. taeniata strains spread by wolves are well‾adapted to both ungulate species, while S. grueneri and S. taeniata strains spread by hunting dogs from the control area are restricted to roe deer (right ungulate pictogram). The epidemiological influence of wolves regarding the spread of Sarcocystis in comparison to hunting dogs has a higher impact on red deer (left ungulate pictogram) than on roe deer. Sarcocystis strains in hunting dogs from the wolf area are likely to be a mixture of both dog and wolf strains. (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 Surrogate hosts: Hunting dogs and recolonizing grey wolves share their endoparasites
Fig. 1. Normalized Sarcocystis spp. prevalence in hunting dogs from the wolf area (dark grey, n = 49) and control area without wolves (light grey, n = 29). Hunting dogs were infected with 11 distinct Sarcocystis species, of which two species only occurred in wolf inhabited areas. They were significantly more likely to be infected with the 'wolf- ‾specialized' parasite S. grueneri when sharing their habitat with wolves (p = 0.035). It was not possible to determine a correlation for an infection with the other 'wolf specialist' S. taeniata and wolf presence (n.s. = not significant, p = 0.476). P values were extracted from GLMs.
Fig. 4 in Assessing the natural circulation of canine vector-borne pathogens in foxes, ticks and fleas in protected areas of Argentine Patagonia with negligible dog participation
Fig. 4. Maximum-likelihood tree based on the Tamura-Nei model of selected sequences from Hepatozoon sp. The name of the sequence indicates the GenBank accession number and host species. The percentage of trees in which the associated taxa clustered together (bootstrap values) is shown next to the branches.
Fig. 3 in Assessing the natural circulation of canine vector-borne pathogens in foxes, ticks and fleas in protected areas of Argentine Patagonia with negligible dog participation
Fig. 3. Abundance of Amblyomma tigrinum in grey foxes depending on the Hepatozoon infection status of the fox. (*) indicates significant differences.
Fig. 2 in Assessing the natural circulation of canine vector-borne pathogens in foxes, ticks and fleas in protected areas of Argentine Patagonia with negligible dog participation
Fig. 2. Abundance of Pulex irritans and Amblyomma tigrinum in grey foxes depending on the study area. (*) indicates significant differences.
Fig. 1 in Assessing the natural circulation of canine vector-borne pathogens in foxes, ticks and fleas in protected areas of Argentine Patagonia with negligible dog participation
Fig. 1. Map of Latin America, showing the study areas in the insert. Black circle: Bosques Petrificados National Park; grey circle: Monte León National Park.
Fig. 4 in Maintenance of Trypanosoma cruzi, T. evansi and Leishmania spp. by domestic dogs and wild mammals in a rural settlement in Brazil-Bolivian border
Fig. 4. Path analysis on the influences of contact and feeding on wild mammals in relation to infections of dogs surveyed at Urucum settlement, Corumbá, Mato Grosso do Sul, Brazil in 2015.
Fig. 3 in Maintenance of Trypanosoma cruzi, T. evansi and Leishmania spp. by domestic dogs and wild mammals in a rural settlement in Brazil-Bolivian border
Fig. 3. Path analysis on the influences of infections in relation to physical examination of dogs surveyed at Urucum settlement, Corumbá, Mato Grosso do Sul, Brazil in 2015.
Fig. 2 in Maintenance of Trypanosoma cruzi, T. evansi and Leishmania spp. by domestic dogs and wild mammals in a rural settlement in Brazil-Bolivian border
Fig. 2. Three-way Venn diagram illustrating coinfection, single infection or no infection of T. cruzi, T. evansi, and Leishmania spp. in 62 dogs from the Urucum settlement along the Brazil-Bolivia border. Total numbers and percentages are presented.
Fig. 2 in Unexpected Echinococcus multilocularis infections in shepherd dogs and wolves in south-western Italian Alps: A new endemic area?
Fig. 2. Multiple alignment of partial mitochondrial cob (124bp) from three specimens identified as Echinococcus multilocularis analyzed in the present paper (the first three input sequences) with: (a) six E. multilocularis sequences retrieved from GenBank after comparison by Local Alignment Search Tool BLAST; (b) five sequences referred to Echinococcus granulosus (Eg, EgG1), E. ortleppi (EgG5), E. canadensis (EgG6-7) and Taenia hydatigena (Thy) retrieved from GenBank. (c) Multiple alignment of partial mitochondrial nad1 (139bp) from three specimens identified as Echinococcus ortleppi analyzed in the present paper (the first three input sequences) with sequences retrieved from GenBank belonging to other representatives of E. ortleppi, E. granulosus, E. canadensis, E. multilocularis, T. krabbei, T. ovis and T. hydatigena. Dots indicate identity with nucleotide of the first sequences listed.
Fig. 1 in Unexpected Echinococcus multilocularis infections in shepherd dogs and wolves in south-western Italian Alps: A new endemic area?
Fig. 1. Locations of wolf (blue dots) and dog (orange dots) fecal samples positive to Echinococcus multilocularis collected during a survey on Echinococcus spp. carried out from June to November 2017 in a mountainous area in the Alps of the Imperia Province, Italy. In the map are also reported the southernmost reports of Echinococcus multilocularis (E. multilocularis) to date in Europe (France, Drs. Boué and Umhang, pers. communication; North-Eastern Italian Alps, Croatia, as in (Beck et al., 2018)). Two dog fecal samples were collected from the same pasture and are represented by a single dot (noted as 2×). (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 Maintenance of Trypanosoma cruzi, T. evansi and Leishmania spp. by domestic dogs and wild mammals in a rural settlement in Brazil-Bolivian border
Fig. 1. The Brazil-Bolivian border and Urucum settlement (Corumbá, MS) demonstrating the site of collections.
Dog gut gene catalog. Supplemental data for "Similarity of the dog and human gut microbiomes in gene content and response to diet"
<p>Gene catalogue for the dog gut microbiome including</p> <ol> <li>FASTA file of nucleotide sequences (including padding, see coords file for exact coordinates)</li> <li>FASTA file of amino-acid sequences</li> <li>coords file (gene coordinates)</li> <li>Taxonomic predictions</li> <li>Functional predictions</li> </ol> <p>See the paper "<em>Similarity of the dog and human gut microbiomes in gene content and response to diet</em>" by Coelho et al. in Microbiome for details. We ask that you cite that publication when using this dataset in published literature</p>
Photoplethysmography in dogs and cats: selection of measurement sites for pet monitor
<p>The PPG measurements of the study Cugmas et al, 2018.</p> <p>Notes.txt include all information about the dataset.</p>
eggNOG Mapper annotations of Mouse, Dog and Pig gut gene catalogs
<p><a href="https://github.com/jhcepas/eggnog-mapper">eggNOG-mapper</a> annotations of <a href="https://doi.org/10.1038/nbt.3353">mouse</a>, <a href="https://doi.org/10.1186/s40168-018-0450-3">dog</a> and <a href="https://doi.org/10.1038/nmicrobiol.2016.161">pig</a> gut, and <a href="https://doi.org/10.1038/nbt.2942">IGC</a> gene catalogs.</p>
ScienceDex guides
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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.