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19,493 results for “Populism”
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.)
Fig. 3 in Molecular evaluation of Eimeria spp. Infection in the Volga-Ural Saiga antelope population of the Republic of Kazakhstan
Fig. 3. Phylogenetic tree generated by the Maximum Composite Likelihood (MCL) method using partial sequences of the 18S rRNA of the Eimeria species that infect the Saiga tatarica.
Fig. 2 in Molecular evaluation of Eimeria spp. Infection in the Volga-Ural Saiga antelope population of the Republic of Kazakhstan
Fig. 2. Eimeria spp. Oocyst at 40x magnification. The outer (OL) and the inner (IL) layers of the oocyst wall, micropyle (M), micropyle cap (MC), spores (S).
Fig. 1 in Molecular evaluation of Eimeria spp. Infection in the Volga-Ural Saiga antelope population of the Republic of Kazakhstan
Fig. 1. Photomicroscope images showing the oocysts of E. elegans (40х magnification). The outer (OL) and the inner (IL) layers of the oocyst wall, cytoplasmic mass (CM), micropyle (M).
Fig. 3 in Susceptibility of Spodoptera frugiperda (Lepidoptera: Noctuidae) field populations to the Cry1F Bacillus thuringiensis insecticidal protein
Fig. 3. Mean percentage of mortality and mean percentage of growth inhibition responses of Spodoptera frugiperda for 2012 and 2013 field-collected populations exposed to Cry1F Bacillus thuringiensis toxin.
Fig. 1 in Susceptibility of Spodoptera frugiperda (Lepidoptera: Noctuidae) field populations to the Cry1F Bacillus thuringiensis insecticidal protein
Fig. 1. EC50s estimated by nonlinear regression of growth inhibition fitted to a probit model and the 95% confidence intervals of Spodoptera frugiperda neonates field collected in 2012 and exposed to the Cry1F Bacillus thuringiensis toxin.
Fig. 2 in Susceptibility of Spodoptera frugiperda (Lepidoptera: Noctuidae) field populations to the Cry1F Bacillus thuringiensis insecticidal protein
Fig. 2. EC50s estimated by nonlinear regression of growth inhibition fitted to a probit model and the 95% confidence intervals of Spodoptera frugiperda neonates field collected in 2013 and exposed to the Cry1F Bacillus thuringiensis toxin.
Fig. 2 in Improvement in Survivorship: The Key for Population Recovery?
Fig. 2. Lateral view of the teeth eruption schedule of O. flavescens pups (extracted from Crespo 1988). Category A: milk and permanent teeth present (mi: milk incisor; mpct: milk postcanine teeth; mct: milk canine teet; pi: permanent incisor h) and the permanent canine teeth (pct) inside the alveolus; Category B: mct, pi and permanent postcanine teeth (ppct) present; Category C: mct are lost and pct remain inside the alveolus; Category D: pct erupt through the gum and become visible.
Fig. 1 in Improvement in Survivorship: The Key for Population Recovery?
Fig. 1. Detailed study area with the current distribution of Otaria flavescens colonies at northern Patagonia
Fig. 4 in Improvement in Survivorship: The Key for Population Recovery?
Fig. 4. Age-frequency distribution of female (n = 70) and male (n = 109) pups by age-class category from northern Patagonia collected between 2000-2008.
Fig. 3 in Improvement in Survivorship: The Key for Population Recovery?
Fig. 3. Age-frequency distribution of female (n = 210) and male (n = 214) South American sea lions from northern Patagonia collected between 2000-2008.
Fig. 6 in Improvement in Survivorship: The Key for Population Recovery?
Fig. 6. Survivorship curves for recent (grey) and past (white) female sea lions. Parameter values for the full model are given in table 5. Age is expressed as proportion of longevity, Ω.
Fig. 5 in Improvement in Survivorship: The Key for Population Recovery?
Fig. 5. Survivorship curves for male (black) and female (grey) sea lions from 2000-2008. Parameter values for the full model are given in table 4. Age is expressed as proportion of longevity, Ω.
FIGURE 3 in Anthropogenic river fragmentation reduces long-term viability of the migratory fish Salminus brasiliensis (Characiformes: Bryconidae) populations
FIGURE 3 | A. Salminus brasiliensis population structure from the Bayesian cluster analysis for K = 2 (see also S1). Black lines separate the different sampled populations based on location (Pop1, Pop2, Pop3, Pop4 and Pop5; Fig. 1). B. DAPC scatterplots and membership probabilities show the first two principal components of the DAPC. Populations are represented in different colors: 1 - Lilac (Pop5); 2 - Green (Pop4), 3 - Orange (Pop3), 4 - Lilac (Pop2) and 5 - Brown (Pop1). C. Membership probabilities (in bar plots), represent individuals in different clusters.
FIGURE 2 in Anthropogenic river fragmentation reduces long-term viability of the migratory fish Salminus brasiliensis (Characiformes: Bryconidae) populations
FIGURE 2 | Predicted genetic diversity in Salminus brasiliensis populations with distinct fragmentation levels over the next 100 years. Using BOTTLESIM 2.6, we estimated the retained percentage of effective number of alleles (Ae) and expected heterozygosity (He) under 100%, 75% and 50% of retain bottleneck scenarios. In all populations, the current population size is unable to maintain 80% of current genetic diveristy, which it is indicated by a red line.
FIGURE 1 in Anthropogenic river fragmentation reduces long-term viability of the migratory fish Salminus brasiliensis (Characiformes: Bryconidae) populations
FIGURE 1 | Study area of Salminus brasiliensis populations in the Uruguay River basin, southern Brazil. A. Picture of Canyon Agusto César Gorge, Upper Uruguay River (acquired rights); B. Picture of Yucumã our Moconá Falls (google font: https://7mar.com.ar/mocona). Salminus brasiliensis (personal picture).
FIGURE 2 in Development of microsatellite loci and population genetics of the catfish Pimelodus yuma (Siluriformes: Pimelodidae)
FIGURE 2 | Discriminant analysis of principal components for nine microsatellite loci and 138 individuals of Pimelodus yuma in three sections (S4/5, S6 and S7/8) of the Cauca River.
FIGURE 1 in Development of microsatellite loci and population genetics of the catfish Pimelodus yuma (Siluriformes: Pimelodidae)
FIGURE 1 | Studied sampling sites of Pimelodus yuma along the lower sections (S4–S8) of the Cauca River. The pentagons indicate sampling sites in floodplain lakes and the stars indicate sites along the main channel of the river.
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.