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558 results for “wild populations”
Fig. 4 in Microclimate and host body condition influence mite population growth in a wild bird-ectoparasite system
Fig. 4. The relationship between the substrate the nest was built on: concrete, metal, or wood (y-axis) and the number of mites estimated in the field when chicks were 12 days old. Nests built on wooden substrates had significantly more mites compared to nests built on concrete or metal substrates. This graph was made using raw data, but models reported in the text included site as a random effect.
Fig. 3 in Microclimate and host body condition influence mite population growth in a wild bird-ectoparasite system
Fig. 3. Relationship between the number of non-mite arthropods (x-axis) and nest mites (y-axis) that were recovered when experimental nests were removed from the field after nestlings fledged and placed in a Berlese funnel. Nests with more arthropods had significantly fewer nest mites. This graph was made using raw data, but models reported in text had a Poisson distribution and included site as a random effect.
Fig. 3 in Elaphostrongylus and Dictyocaulus infections in Norwegian wild reindeer and red deer populations in relation to summer pasture altitude and climate
Fig. 3. Calculated average altitude above sea level (points) with standard deviation (thicker grey line) of the main summer pasture area of six wild reindeer and two wild red deer populations in South Norway sampled for parasitological studies 2012–2014. The calculation was based upon GPS-positions recorded during June, July and August. The recorded min and max altitudes are indicated by the ends of the black line. Reindeer populations (No): 14 Nordfjella, 2 Snøhetta, 19 Setesdal Ryfylke, 1 Forollhogna, 6 Rondane, 20 Setesdal Austhei. Red deer populations (No): 24 Ørsta, 25 Kvinnherad.
Fig. 1 in Elaphostrongylus and Dictyocaulus infections in Norwegian wild reindeer and red deer populations in relation to summer pasture altitude and climate
Fig. 1. Map of South Norway showing the location of the 23 Norwegian wild tundra reindeer populations (No 1–23). The six populations included in the present study (No 1, 2, 6, 14, 19, 20) are marked with brighter tan. The location of two wild red deer municipalities studied (No 24, 25) are marked in green. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 5 in Elaphostrongylus and Dictyocaulus infections in Norwegian wild reindeer and red deer populations in relation to summer pasture altitude and climate
Fig. 5. Calculated mean temperature (̊C) and monthly rainfall (mm) for June–August at the average altitude of the main summer pasture areas for eight wild reindeer and red deer populations sampled for parasitological studies 2012–2014. The data represent the five summers prior to sampling. The range and average (horizontal bar) of mean monthly temperature (left y-axis) and rainfall (right y-axis) are shown by red and blue lines respectively. Reindeer populations (No): 14 Nordfjella, 2 Snøhetta, 19 Setesdal Ryfylke, 1 Forollhogna, 6 Rondane, 20 Setesdal Austhei. Red deer populations (No): 24 Ørsta, 25 Kvinnherad. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 2 in Elaphostrongylus and Dictyocaulus infections in Norwegian wild reindeer and red deer populations in relation to summer pasture altitude and climate
Fig. 2. Example of Kernel Density Analysis, visualizing the main grazing area of radio-collared females in the wild reindeer population in Nordfjella during June, July and August. The darker the color, the larger number of GPS positions recorded. The outer limits of the area are marked with a dark line. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Figure 2 in High genetic distinctiveness of wild and farm fox (Vulpes vulpes L.) populations in Poland: evidence from mitochondrial DNA analysis
Figure 2. Neighbor-joining haplotype network based on frequencies showing relationships between concatenated MT-CO1 and MTATP6 sequences of fur farm and wild red foxes.
Figure 1 in High genetic distinctiveness of wild and farm fox (Vulpes vulpes L.) populations in Poland: evidence from mitochondrial DNA analysis
Figure 1. Distribution of sampling sites of wild and fur-farm red foxes in Poland: light gray areas represent the provinces from which samples of wild foxes were taken; the darker gray area indicated with a black circle shows the location of investigated fox farms; the numbers represent fox fur-farms in particular voivodeships.
Figure 3 in Application of multifactorial discriminant analysis in the morphostructural differentiation of wild and cultured populations of Vieja Azul (Andinoacara rivulatus)
Figure 3. Cluster from Mahalanobis distances for cultured and wild populations of both sexes. HP: Cultured females; HS: wild females; MP: cultures males; MS: wild males.
Figure 2 in Application of multifactorial discriminant analysis in the morphostructural differentiation of wild and cultured populations of Vieja Azul (Andinoacara rivulatus)
Figure 2. Plot of the individual observation discriminant scores obtained with the canonical discriminant function. HP: Cultured females; HS: wild females; MP: cultures males; MS: wild males.
Figure 1 in Application of multifactorial discriminant analysis in the morphostructural differentiation of wild and cultured populations of Vieja Azul (Andinoacara rivulatus)
Figure 1. (a) Location of 25 anatomic landmark points designed on the left-side view of Andinoacara rivulatus; (b) 32 truss characters making up a truss network. 1- Commissure of the mouth; 2- most cranial point of the upper premaxilla; 3- origin of pelvic fin; 4- origin of dorsal fin; 5- origin of anal fin; 6- most cranial point of the base of the tenth spine of the dorsal fin; 7- ending of anal fin; 8- ending of dorsal fin; 9- ventral origin of caudal fin; 10- dorsal origin of caudal fin; 11- most cranial point of caudal peduncle; 12- most caudal point of caudal peduncle; 13- ending of pectoral fin; 14- end of operculum; 15- cranial edge of the eye; 16- caudal edge of the eye; 17- preoccipital (most posterior aspect of neurocranium); 18- below operculum; 19- origin of pectoral fin; 20- lower end of the head; 21- anal opening; 22- most cranial point of the lower premaxilla; 23- ending of 1st dorsal fin ray; 24- ending of the last anal fin ray; 25- ending of the pelvic fin radius.
Fig. 2 in Lungworms (Metastrongylus spp.) and intestinal parasitic stages of two separated Swiss wild boar populations north and south of the Alps: Similar parasite spectrum with regional idiosyncrasies
Fig. 2. Wild boar lung with massive trauma after bullet penetration and visible bone fractures (A), dense nodule of the lobus caudalis dexter (B), and accumulation of nematodes in a bronchus (C).
Fig. 3 in Lungworms (Metastrongylus spp.) and intestinal parasitic stages of two separated Swiss wild boar populations north and south of the Alps: Similar parasite spectrum with regional idiosyncrasies
Fig. 3. Caudal ends of the 5 Metastrongylus species identified in this study: M. apri female (A) and male (B), M. asymmetricus female (C) and male (D), M. confusus female (E) and male (F), M. pudendotectus female (G) and male (H), M. salmi female (I) and male (J).
Fig. 1 in Lungworms (Metastrongylus spp.) and intestinal parasitic stages of two separated Swiss wild boar populations north and south of the Alps: Similar parasite spectrum with regional idiosyncrasies
Fig. 1. Map of Switzerland with sampling areas for the northern (Cantons of Aargau (AG), Schaffhausen (SH), Thurgau (TG) and Zürich (ZH)) and the southern (Canton of Ticino (TI)) wild boar population. N: number of lungs sampled.
Fig. 4 in Surveys on Baylisascaris procyonis in two of the three French wild raccoon populations
Fig. 4. Results of the analysis of the population genetic structure of raccoon roundworms in north-western Europe. The three genetic clusters were inferred by the program BAPS, taking geographic coordinates into account. Different colors represent different genetic populations. Pie charts represent the genetic populations of origin of the individuals and their size is indicative of the number of samples included. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 1 in Surveys on Baylisascaris procyonis in two of the three French wild raccoon populations
Fig. 1. Distribution of the raccoons sampled in zone A (program 1 green dots and program 2 purple dots), zone B (program 3, orange dots) and zone C (program 4, in pink dots). The red star-spot correspond to the raccoon found infected by Baylisascaris procyonis. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 3 in Surveys on Baylisascaris procyonis in two of the three French wild raccoon populations
Fig. 3. Factorial correspondence analysis of the microsatellite-based genetic profiles of raccoons and raccoon roundworms from northwestern Europe. A) Raccoon populations were pre-defined based on the clustering results generated by the spatial version of program BAPS (see Fig. 2). Different colors represent different genetic populations. The colors and the populations correspond to those illustrated on the map in Fig. 2. The six animals that each formed a distinct genetic cluster were omitted from the plot. The percentage of the total variation explained by each of the three axes is indicated. B) Raccoon roundworm populations were pre-defined based on the clustering results generated by the spatial version of program BAPS (see Fig. 3A). Different colors represent different genetic populations. The colors and the populations correspond to those illustrated on the map in Fig. 4. The percentage of the total variation explained by each of the three axes is indicated. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 2 in Surveys on Baylisascaris procyonis in two of the three French wild raccoon populations
Fig. 2. Results of the analysis of the population genetic structure of raccoons in north-western Europe. The 11 genetic clusters were inferred by the program BAPS, taking geographic coordinates into account. The locations of six clusters that were each composed of a single individual are not shown. Different colors represent different genetic populations. Pie charts represent the genetic populations of origin of the individuals and their size is indicative of the number of samples included. The names of the genetic clusters are the same as those in (7) and (8). Inset: Focus on the clustering results from the region indicated by a black square in the main map. The arrow indicates the sampling location of the raccoon that was positive for B. procyonis. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Figure 1 in Domestication level of the most popular aquarium fish species: is the aquarium trade dependent on wild populations?
Figure 1. – Number of aquarium fish species per domestication level (white: freshwater, n = 50 species; black: marine, n = 50 species).
Fig. 2 in Pupal size distribution and sexual dimorphism in wild and laboratory populations of two species of Anastrepha (Diptera: Tephritidae) fruit flies
Fig. 2. Canonical analysis for pupae size parameters of males and females of laboratory and wild populations in Anastrepha ludens. The canonical analysis is represented on the first canonical axis (can 1), where the boxplots indicate the populations (laboratory and wild) and sexes (males and females) (lef). The variables of pupae size: length (mm), width (mm), and weight (mg) are indicated by vectors (right).
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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.