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238 results for “body condition”
Fig. 2 in Quantitative genetics of gastrointestinal strongyle burden and associated body condition in feral horses
Fig. 2. Predicted relationship between an individual's annual location and a) faecal egg count (measured as the natural logarithm of eggs per gram (EPG) + 25) and b) body condition. Location is scaled to a mean of 0 and standard deviation of 1, therefore 0 represents the centre of the island with −2 at the far west and 2 at the far east. The fitted line comes from the full univariate animal model in each case. In both cases, overlap between points is represented by darker point colour. In 2b. points have been jittered along the y axis to ease visualisation.
Figure 1 in Mammals under a colony of great cormorants: population structure and body condition of yellow-necked mice
Figure 1. Location of Zones A–E in the colony of great cormorants near Juodkrantė, West Lithuania, 2011–2013.
Figure 1 in Body size and body conditions of two dung beetles species (Coleoptera: Scarabaeidae) related to environmental temperatures
Figure 1 Measures of body length in millimeters of individuals of Canthon rutilans cyanescens collected between August/2015 and May/2016 in (A) Santo Amaro da Imperatriz (200 m a.s.l.), whereas Sep/2105, n= 5; Oct/2015, n= 28; Nov/2015, n=6; Dec/2015, n=18; Jan/2016, n=3; Feb/2016, n=8; Mar/2016, n=7; Apr/2016, n=0; and (B) Rancho Queimado (800 m a.s.l.) in Santa Catarina state, whereas Sep/2105, n=0; Oct/2015, n=5; Nov/2015, n=0; Dec/2015, n=25; Jan/2016, n=8; Feb/2016, n=15; Mar/2016, n=7; Apr/2016, n=5. Also, measures of body length in millimeters of individuals of Dichotomius sericeus collected between November/2015 and April/2016 in two locations: (C) Santo Amaro da Imperatriz (200 m a.s.l.) Nov/2015, n=10; Dec/2015, n=56; Jan/2016, n=30; Feb/2016, n=10; Mar/2016, n=10; Apr/2016, n=0; and (D) Rancho Queimado (800 m a.s.l.) in Santa Catarina state, whereas Nov/2015, n=0; Dec/2015, n=8; Jan/2016, n=30; Feb/2016, n=29; Mar/2016, n=5; Apr/2016, n=9.
Figure 2 in Body size and body conditions of two dung beetles species (Coleoptera: Scarabaeidae) related to environmental temperatures
Figure 2 Body fat mass (red boxes) and muscle mass (blue boxes) of individuals of (A) Canthon rutilans cyanescens collected at two locations: Santo Amaro da Imperatriz (200 m a.s.l.; n=29) and Rancho Queimado (800 m a.s.l.; n=36) in Santa Catarina state; Body fat mass (red boxes) and muscle mass (blue boxes) of individuals of (B) Dichotomius sericeus collected at two locations: Santo Amaro da Imperatriz (200 m a.s.l.; n=29) and Rancho Queimado (800 m a.s.l.; n=31) in Santa Catarina state, south of Brazil.
Figure 1 in Body condition of three autochthonous canid species from Serbia
Figure 1. Boxplot showing the differences in KFI between lactating, pregnant, and all other adult female jackals.
Figure 3 in Body condition of three autochthonous canid species from Serbia
Figure 3. Two-way ANOVA shows differences in physical condition between sexes and across seasons for adult jackals in Serbia.
Figure 3 in Influence of environmental variability on the body condition of the mangrove horseshoe crab Carcinoscorpius rotundicauda from Banyuasin Estuarine, South Sumatra, Indonesia
Figure 3. The relative condition factor (Kn) of C. rotundicauda from Banyuasin Estuary Waters. There was a significant difference between Kn values for males and females at a significant level of 0.05.
Figure 2 in Influence of environmental variability on the body condition of the mangrove horseshoe crab Carcinoscorpius rotundicauda from Banyuasin Estuarine, South Sumatra, Indonesia
Figure 2. The prosoma width-weight relationship of C. rotundicauda from Banyuasin Estuary Waters. There was a different growth pattern for both sexes where males indicated negative allometric and females indicated isometric.
Fig. 6 in Interactions of cranial helminths in the European polecat (Mustela putorius): Implications for host body condition
Fig. 6. Marginal effects plot of the gamma generalised linear model of the Zeroaltered gamma model, predicting kidney fat weight as a function of snout-vent length and sex of the host. The colour of the 95% confidence interval corresponds to the sex of the same colour. The plot is based on the most parsimonious model identified after model selection (see Table 3). (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 Interactions of cranial helminths in the European polecat (Mustela putorius): Implications for host body condition
Fig. 3. Marginal effects plot of a logistic regression model predicting the presence (a) of T. acutum as a function of sex of the host and the presence/absence of S. nasicola, the other parasite, (b) of S. nasciola as a function of sex of the host and (c) of S. nasciola as a function of age of the host and the presence/absence of T. acutum. The 95% confidence intervals are shown as error bars or in grey. The plots is based on the most parsimonious model identified after model selection (see Table 1).
Fig. 5 in Interactions of cranial helminths in the European polecat (Mustela putorius): Implications for host body condition
Fig. 5. Marginal effects plot of the zero hurdle model of the Zero-altered gamma model, predicting the presence of kidney fat as a function of (a) snout-vent length, (b) abundance of T. acutum, (c) abundance of S. nasicola and (d) sex of the host. The 95% confidence intervals are shown in grey. The plot is based on the most parsimonious model identified after model selection (see Table 3).
Fig. 2 in Interactions of cranial helminths in the European polecat (Mustela putorius): Implications for host body condition
Fig. 2. Geographic origin of the skulls of the European polecat (Mustela putorius) analysed in this study. The size of the pie charts is indicative of the number of skulls analysed per locality and the contents of the pie charts are indicative of the infestation status of the corresponding animals. SKJ: Skrjabingylus nasicola, TRO: Troglotrema acutum. The numbers are indicative of the major landscape unit of origin of the samples.
Fig. 1 in Interactions of cranial helminths in the European polecat (Mustela putorius): Implications for host body condition
Fig. 1. Dorsal views of European polecat (Mustela putorius) skulls with or without infestations of the cranial helminths Skrjabingylus nasicola and Troglotrema acutum. (a) Skull of a non-infested one-year-old male. (b) Skull of a threeyear-old male with lesions in the frontal bone resulting from an infestation with T. acutum. (c) Lesions in both postorbital processes and the rear of the frontal bone of a skull of a two-year-old male infested with both parasites. (d) Lesion in the right postorbital process of a skull of a two-year-old male infested with both parasites. (e) Skull of a three-year-old female with lesions in both postorbital processes resulting from an infestation with S. nasicola. (f) Lesions in both postorbital processes and the frontal bone of a skull of a four-year-old female infested with both parasites. (g) Skull of a two-year-old female infested with T. acutum that is characterised by large perforations in the frontal bone and exposure of the frontal sinus and the nasal cavity. (h) Skull of a four-year-old male with perforations in and distensions of the frontal bone resulting from an infestation with T. acutum. (i) Skull of a five-year-old male characterised by multiple perforations and distended and sponge-like appearance of the bones across the whole of the frontal dorsal cranium.
Fig. 4 in Interactions of cranial helminths in the European polecat (Mustela putorius): Implications for host body condition
Fig. 4. Marginal effects plot of logistic regression model predicting the presence of skull damage as a function of sex of the host, the abundance of S. nasciola and a selection of T. acutum abundances. The colour of the 95% confidence interval corresponds to the T. acutum abundance of the same colour. The plot is based on the most parsimonious model identified after model selection (see Table 2). (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 4 in Effects of river damming in Neotropical piscivorous and omnivorous fish: feeding, body condition and abundances
Fig. 4. Repletion Index (righ) and condition factor (left) of the analysed species from Iguaçu River in the Salto Caxias Reservoir influence, before and after damming and sites (RE - reservoir region; DO - downstream; UP - upstream from the Iguaçu River; TL - tributaries lower section; TU - tributaries upper section). Vertical bars= standard error.
Fig. 3 in Effects of river damming in Neotropical piscivorous and omnivorous fish: feeding, body condition and abundances
Fig. 3. Piscivory (%) and mean condition factor of the analysed species from Iguaçu River in the Salto Caxias Reservoir influence, before and after damming and sites (RE - reservoir region; DO - downstream; UP - upstream from the Iguaçu River; TL - tributaries lower section; TU - tributaries upper section). Vertical bars= standard error.
Fig. 2 in Effects of river damming in Neotropical piscivorous and omnivorous fish: feeding, body condition and abundances
Fig. 2. Median abundance (Capture per unit effort - CPUE; unit: number of individuals/1,000 m² of nets set for 24 h) of the most consumed prey and analysed species from Iguaçu River in the Salto Caxias Reservoir area of influence, before and after damming (RE - reservoir region; DO - downstream; UP - upstream from the Iguaçu River; TL - tributaries lower section; TU - tributaries upper section). Vertical bars=Min and Max values.
Fig. 1 in Effects of river damming in Neotropical piscivorous and omnivorous fish: feeding, body condition and abundances
Fig. 1. Location of the sample stations in the Iguaçu River and the dam influence area. a) Before damming. b) After damming. [Point 1-2 = upstream from the Iguaçu river (UP); point 3 = reservoir region (RE); point 4 = downstream (DO); 5-9 = tributaries low section (TL); 10-14= tributaries upper section (TU)].
Fig. 1 in Feeding and body condition of an invasive fish species under different environmental conditions
Fig. 1. Sampling sites in the upper Paraná River floodplain. Ivinhema subsystem (1. Ventura Lake, 2. Patos Lake and 3. Ivinhema River), Baía subsystem (4. Guarana Lake, 5. Fechada Lake and 6. Baía River) and Paraná subsystem (7. Pau Veio backwater, 8. Paraná River and 9. Garças Lake).
Fig. 6 in Body condition and energy density of juvenile streaked prochilod Prochilodus lineatus (Valenciennes, 1837) in a Neotropical floodplain
Fig. 6. Spearman rank correlations (rs) between the values of energy density (E D) versus relative condition factor (K n) (a), length standard (L s) (b) and weight total (W t) (c) of Prochilodus lineatus in the floodplain of the Upper Paraná River. The line represents the trend of significant Spearman correlations.
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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.