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Fig. 2. a–d in Parasite community structure as a predictor of host population structure: An example using Callorhinchus capensis
Fig. 2. a–d: Four metazoan parasites found infecting Callorhinchus capensis caught in False Bay, South Africa in 2013. Photos taken by T. Morris.
Fig. 2 in Genetic diversity and population structure of endangered Neofinetia falcata (Orchidaceae) in South Korea based on microsatellite analysis
Fig. 2. Structure analyses for putative genetic clusters of N. falcata. A: Graphs of ΔK values to determine the ideal number of groups present in the accessions of N. falcata. B: Estimated genetic structure of the 3 populations of brinjal based on STRUCTURE analysis K = 2 and K = 3.
Figure 6 in Necromys lasiurus (Cricetidae: Sigmodontinae) from open areas of the Atlantic Forest of Rio de Janeiro: Population structure and implications for the monitoring of hantaviruses
Figure 6. Results of the Bayesian Analysis of Population Structure (BAPS) of the Necromys lasiurus Cytochrome b sequences compiled in the present study, showing the four genetic clades, which are color-coded. The vertical black lines separate the sample groups. Insert map shows the Brazilian biomes.
Figure 7 in Necromys lasiurus (Cricetidae: Sigmodontinae) from open areas of the Atlantic Forest of Rio de Janeiro: Population structure and implications for the monitoring of hantaviruses
Figure 7. Mismatch distribution of the Necromys lasiurus samples from the Rio de Janeiro state, Brazil. The observed frequencies are shown in red, and the expected frequencies, in green.
Figure 8 in Necromys lasiurus (Cricetidae: Sigmodontinae) from open areas of the Atlantic Forest of Rio de Janeiro: Population structure and implications for the monitoring of hantaviruses
Figure 8. Plot of the DIYABC Random Forest simulations for the five hypothetical demographic scenarios proposed for the Necromys lasiurus groups (Atlantic Forest ecoregion, Atlantic Forest domain of Rio de Janeiro state, and Arid Diagonal ecoregion), and the location of the observed data, used to validate the best scenario. In this analysis, scenario 1 received 99 "votes", scenario 2, 398 "votes", scenario 3, 229 "votes", and scenario 4, 76 "votes", with 198 "votes" for scenario 5.
Figure 4 in Necromys lasiurus (Cricetidae: Sigmodontinae) from open areas of the Atlantic Forest of Rio de Janeiro: Population structure and implications for the monitoring of hantaviruses
Figure 4. Haplotype network of the Necromys lasiurus Cytochrome b sequences analyzed in the present study, color-coded according to the results of the Bayesian Analysis of Population Structure (BAPS; see Fig. 6). (AF–RJ) Atlantic Forest domain of Rio de Janeiro state. Mutational steps are indicated with stripes.
Figure 5 in Necromys lasiurus (Cricetidae: Sigmodontinae) from open areas of the Atlantic Forest of Rio de Janeiro: Population structure and implications for the monitoring of hantaviruses
Figure 5. Haplotype network of the Necromys lasiurus Cytochrome b sequences obtained in the present study from localities in the Atlantic Forest and Pampa biomes (AF), color-coded by locality. (ARG) Argentina, (MS) Mato Grosso do Sul, (MG) Minas Gerais, (PY) Paraguay, (PR) Paraná, (RJ) Rio de Janeiro, (RS) Rio Grande do Sul, (SC) Santa Catarina, (SP) São Paulo. Mutational steps are indicated with stripes.
Figure 2 in Necromys lasiurus (Cricetidae: Sigmodontinae) from open areas of the Atlantic Forest of Rio de Janeiro: Population structure and implications for the monitoring of hantaviruses
Figure 2. The demographic scenarios formulated for testing in the DIYABC Random Forest analysis. Pop1 = Arid Diagonal ecoregion (AD), Pop2 = Atlantic Forest ecoregion (AF), Pop3 = Atlantic Forest of Rio de Janeiro state (AF-RJ). The scenarios tested here were: (1) AD as the ancestral population of AF, which originates AF-RJ, (2) AD as the ancestral population, which mixes with AF before originating AF-RJ, (3) AF-RJ as the ancestral population, which mixes with AF before originating AD, (4) AD as the ancestral population of AF and AF-RJ, and (5) AD as the ancestral population, mixing with AF-RJ before originating AF.
Figure 3 in Necromys lasiurus (Cricetidae: Sigmodontinae) from open areas of the Atlantic Forest of Rio de Janeiro: Population structure and implications for the monitoring of hantaviruses
Figure 3. Consensus phylogenetic tree produced by the Maximum Likelihood (ML) and Bayesian Inference (BI) analyses of the Cytochrome b sequences of Necromys lasiurus included in the present study. The clades are color-coded according to the results of the Bayesian Analysis of Population Structure (BAPS; see Fig. 6). The samples shaded green are from Atlantic Forest domain of Rio de Janeiro state. The circles at each branch represent the bootstrap values of the ML (left semi-circles) and the posterior probabilities of the BI (right semi-circles). In the left semi-circles, white indicates bootstrap values of 0.40–0.66, while gray represents values of 0.66–0.90, and black, values of over 0.90. In the right semi-circles, white indicates a posterior probability of less than 0.64, with gray representing posterior probabilities of 0.64–0.90, and black, values of over 0.90.
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 2. Maximum-likelihood trees for J in Mitochondrial evidence indicates a shallow phylogeographic structure for Jaculus blanfordi (Murray, 1884) populations (Rodentia: Dipodidae)
Figure 2. Maximum-likelihood trees for J. blanfordi mtDNA haplotypes in different datasets for cyt b (1110 bp), COI (618 bp), and COI + cyt b (313 bp + 284 bp). The numbers next to the nodes indicate the bootstrap (>50%) and posterior probability (>0.50) values obtained by maximum-likelihood and Bayesian inference, respectively. The trees are rooted with haplotypes from J. orientalis and J. jaculus. See Table 1 and Figure 1 for the haplotype designations and corresponding localities.
Figure 1 in Mitochondrial evidence indicates a shallow phylogeographic structure for Jaculus blanfordi (Murray, 1884) populations (Rodentia: Dipodidae)
Figure 1. Geographical locations of J. blanfordi samples included in the present study. The locality numbers correspond to those in Table 1. The shaded zones in the map correspond to the distribution range of Blanford's jerboa (Shenbrot and Molur, 2008).
Figure 3. Median-joining networks for J in Mitochondrial evidence indicates a shallow phylogeographic structure for Jaculus blanfordi (Murray, 1884) populations (Rodentia: Dipodidae)
Figure 3. Median-joining networks for J. blanfordi mitochondrial DNA haplotypes in the different datasets for cyt b (1110 bp), COI (618 bp) and COI + cyt b (313 bp + 284 bp). The numbers of mutations (greater than 1) between the haplotypes are indicated near the branches and circle sizes are proportional to the number of similar haplotypes. See Table 1 for the haplotype designations.
Figure 4 in Mitochondrial evidence indicates a shallow phylogeographic structure for Jaculus blanfordi (Murray, 1884) populations (Rodentia: Dipodidae)
Figure 4. Observed and expected mismatch distribution of haplotypes for the cyt b (1110 bp), COI (618 bp), and COI + cyt b (313 bp + 284 bp) datasets.
Figure 6 in Spatiotemporal distribution and population structure of Clibanarius symmetricus (Randall, 1840) (Crustacea, Diogenidae) in an Amazon estuary
Figure 6. Frequency distribution of cephalothoracic shield length (in mm) classes of the Clibanarius symmetricus specimens collected in the Marapanim estuary, Pará, Brazil. The vertical line represents the onset of sexual maturity (3.6 mm).
Figure 2 in Spatiotemporal distribution and population structure of Clibanarius symmetricus (Randall, 1840) (Crustacea, Diogenidae) in an Amazon estuary
Figure 2. Median Clibanarius symmetricus density by season (a), sector (b), site (c), and midlittoral zone (d) in the Marapanim River estuary (PA), between August 2006 and July 2007, based on the results of the PERMANOVA.
Figure 1 in Spatiotemporal distribution and population structure of Clibanarius symmetricus (Randall, 1840) (Crustacea, Diogenidae) in an Amazon estuary
Figure 1. Geographical location of the study area, showing the 4 sampling sites in the Marapanim estuary: A1 and A2 (western margin), B1 and B2 (eastern margin).
Figure 4 in Spatiotemporal distribution and population structure of Clibanarius symmetricus (Randall, 1840) (Crustacea, Diogenidae) in an Amazon estuary
Figure 4. Frequency of occurrence of Clibanarius symmetricus specimens of nonovigerous females (F), ovigerous females (OF), males (M), and intersex individuals (INT) collected each month between August 2006 and July 2007, in the Marapanim estuary, Pará, Brazil.
Figure 3 in Spatiotemporal distribution and population structure of Clibanarius symmetricus (Randall, 1840) (Crustacea, Diogenidae) in an Amazon estuary
Figure 3. Mean Clibanarius symmetricus density, and the temperature and salinity recorded in the Marapanim estuary, Pará, Brazil, between August 2006 and July 2007.
Figure 4 in Genetic structure and population dynamics of the silver pheasant (Lophura nycthemera) in southern China
Figure 4. Bayesian tree based on mitochondrial haplotypes (1053 bp, selected model of HKY+I+G). It exhibits the phylogenetic relationships of silver pheasant, and three species (L. hatinhensis, L. leucomelanos, and L. swinhoii) are noticeable outgroups. Above branches there are numbers indicating Bayesian posterior probabilities, whereas below branches there are bootstrap values produced by ML. Each colored line represents a geographic population, while the line in black represents the shared haplotype.
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.