Find research datasets worth reusing

Figure 5 in How long do dolphins live? Survival rates and life expectancies for bottlenose dolphins in zoological facilities ťs. wild populations

Figure 5. Kaplan-Meier survival curves depicting the proportion of bottlenose dolphins in zoological care surviving to each age (calculated in days, then transformed to years) during four time periods.

Figure 2 in How long do dolphins live? Survival rates and life expectancies for bottlenose dolphins in zoological facilities ťs. wild populations

Figure 2. ASR (95% confidence intervals) of bottlenose dolphin calves <1 yr old in zoological care across historical time periods.

Figure 4 in How long do dolphins live? Survival rates and life expectancies for bottlenose dolphins in zoological facilities ťs. wild populations

Figure 4. The population age structure for bottlenose dolphins in zoological care on the last day of each time period.

Figure 3 in How long do dolphins live? Survival rates and life expectancies for bottlenose dolphins in zoological facilities ťs. wild populations

Figure 3. Survivorship to each age as calculated for age-at-death data for modern-day dolphins in zoological care and two wild populations.

Figure 1 in How long do dolphins live? Survival rates and life expectancies for bottlenose dolphins in zoological facilities ťs. wild populations

Figure 1. ASR (95% confidence intervals) of bottlenose dolphins>1 yr old in zoological care across historical time periods.

opencc-by-4.0Dec 2013View details →

Fig. 1 in Trichinella species circulating in wild boar (Sus scrofa) populations in Poland

Fig. 1. Example of electrophoretic patterns obtained from multiplex PCR on Trichinella larvae collected from wild boar. Lane 1 and 8 molecular weight marker (Fermentas 100 bp DNA Ladder); lanes 2 and 4, T. spiralis; lanes 3 and 5, T. britovi; lane 6, T. spiralis and T. britovi mixed infection; lane 7, negative control.

Fig. 3 in Partial molecular characterization of the mitochondrial genome of Baylisascaris columnaris and prevalence of infection in a wild population of Striped skunks

Fig. 3. Single nucleotide polymorphisms in the ND2 gene of B. columnaris, compared to B. procyonis. Nucleotide position numbers are shown at the top of the figure. Speciesspecific SNPs are shown in bold.

Fig. 1 in Partial molecular characterization of the mitochondrial genome of Baylisascaris columnaris and prevalence of infection in a wild population of Striped skunks

Fig. 1. Single nucleotide polymorphisms in the Cox1 gene of B. columnaris, compared to B. procyonis. Nucleotide position numbers are shown at the top of the figure. Italicized numbers represent the position number from a previously published partial sequence of the B. columnaris Cox1 gene (Franssen et al., 2013). Species-specific SNPs are shown in bold.

Fig. 2 in Partial molecular characterization of the mitochondrial genome of Baylisascaris columnaris and prevalence of infection in a wild population of Striped skunks

Fig. 2. Single nucleotide polymorphisms in the Cox2 gene of B. columnaris, compared to B. procyonis. Nucleotide position numbers are shown at the top of the figure. Italicized numbers represent the position number from a previously published partial sequence of the B. columnaris Cox2 gene (Franssen et al., 2013).

Fig. 4 in Partial molecular characterization of the mitochondrial genome of Baylisascaris columnaris and prevalence of infection in a wild population of Striped skunks

Fig. 4. Single nucleotide polymorphisms in several tRNA genes of B. columnaris, compared to B. procyonis, B. transfuga and B. schroederi. Nucleotide position numbers are shown at the top of the figure. SNPs which distinguish B. columnaris from other Baylisascaris species are shown in bold.

Fig. 5 in Ectoparasitic copepod infestation on a wild population of Neotropical catfish Sciades herzbergii Bloch, 1794: Histological evidences of lesions on host

Fig. 5. Transverse section of S. herzbergii skin parasitized by copepods. (Hematoxylineosin staining). a. Detail of the outer and middle layer of the epidermis (hyperplasia and hypertrophy) (100X). b. Sacciforme cell (400X).

Fig. 4 in Ectoparasitic copepod infestation on a wild population of Neotropical catfish Sciades herzbergii Bloch, 1794: Histological evidences of lesions on host

Fig. 4. Cross section of healthy skin of S. herzbergii. Detail of the epidermis and dermis (staining with hematoxylin-eosin) (400X).

Fig. 2 in Ectoparasitic copepod infestation on a wild population of Neotropical catfish Sciades herzbergii Bloch, 1794: Histological evidences of lesions on host

Fig. 2. Hemorrhagic cutaneous lesions caused by the infestation of copepods on S. herzbergii. a. Ventral view. b. Pectoral fins and mouth.

Fig. 3 in Ectoparasitic copepod infestation on a wild population of Neotropical catfish Sciades herzbergii Bloch, 1794: Histological evidences of lesions on host

Fig. 3. Cross section of healthy skin of S. herzbergii, showing the different layers that make it up (Hematoxylin-eosin staining) (100X).

opencc-by-4.0May 2016View details →

Fig. 2 Maximum likelihood phylogenetic tree constructed using the mitochondrial cox1 gene for 103 in Genetic diversity and population genetics of large lungworms (Dictyocaulus, Nematoda) in wild deer in Hungary

ƒFig. 2 Maximum likelihood phylogenetic tree constructed using the mitochondrial cox1 gene for 103 Dictyocaulus lungworms originating from Hungary and five lungworms from GenBank indicated by their accession numbers (one dictyocaulid worm of red deer in New Zealand and four sequences of D. viviparus). Lungworms were collected from hunted deer (fallow, red and roe deer), indicated by triangle, square and circle, respectively. Geographical collecting regions are indicated for each sample

opencc-by-4.0May 2016View details →

Fig. 3 in Genetic diversity and population genetics of large lungworms (Dictyocaulus, Nematoda) in wild deer in Hungary

Fig. 3 Observed and simulated (expected) mismatch frequency distributions under a model of population expansion for D. eckerti overall (a), D. capreolus overall (b) and the eastern population of

opencc-by-4.0May 2016View details →

Fig. 1 in Genetic diversity and population genetics of large lungworms (Dictyocaulus, Nematoda) in wild deer in Hungary

Fig. 1 Map of collecting sites of Dictyocaulus in Hungary. Host species are indicated using different symbols (triangle: fallow deer; square: red deer; circle: roe deer), as are lungworm species (filled symbol: D. eckerti; empty symbol: D. capreolus; leaky symbol: D. sp. S-HU)

opencc-by-4.0Apr 2019View details →

Fig. 3. A in Wild horse populations in south-east Australia have a high prevalence of Strongylus vulgaris and may act as a reservoir of infection for domestic horses

Fig. 3. A box and whisker plot (with individual data points) of the total strongyle egg counts across the different populations, showing the highest FECs were from samples from Bogong High Plains and Tin Mines, both alpine heathland habitats. Overall 89% of samples had FECs> 500 EPG, classed as 'high level shedders'.

opencc-by-4.0Apr 2019View details →

Fig. 2 in Wild horse populations in south-east Australia have a high prevalence of Strongylus vulgaris and may act as a reservoir of infection for domestic horses

Fig. 2. Microscopic view of the different eggs. A = Anoplocephala spp. eggs, S <90 = strongyle eggs <90 μm length, S> 90 = strongyle eggs ≥90 μm length, P = Parascaris spp. eggs.