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Figure 3 in Genetic structure and population dynamics of the silver pheasant (Lophura nycthemera) in southern China
Figure 3. mtDNA MJN for silver pheasant. Circle size represents proportion of haplotype. Circles with single color indicate a private haplotype, whereas circles with two or more colors represent a shared haplotype.
Figure 1 in Genetic structure and population dynamics of the silver pheasant (Lophura nycthemera) in southern China
Figure 1. According to geodistance and topographic characters, we sorted sampling sites into geographic populations. The sampling sites including 7 provinces: Sichuan, Anhui, Jiangxi, Fujian, Zhejiang, Hubei, and Hunan. The abbreviation are as follows: Sichuan (SC), Anhui (AH), Jiangxi (JX), Fujian (FJ), Zhejiang (ZJ), Hubei (HB), Hunan (HN).
Figure 2 in Genetic structure and population dynamics of the silver pheasant (Lophura nycthemera) in southern China
Figure 2. Bayesian skyline plot of whole population of silver pheasant. The expansion time was computed by tau = 2µkt. The solid line means the estimated average effective population size and the dashed line represents 95% confidence interval.
Figure 1 in Population structure and spatial distribution of the tiger (Panthera tigris, Felidae, Carnivora) in Southwestern Primorye (Russian Far East)
Figure 1. Census routes and places of encounters of tiger tracks in study area: blue dots, during the expedition surveys; red dots, during monitoring of the model site.
Figure 4 in Population structure and spatial distribution of the tiger (Panthera tigris, Felidae, Carnivora) in Southwestern Primorye (Russian Far East)
Figure 4. Distribution of tigers in the Amba, Barabashevka, and Narva River watersheds according to photoidentification results.
Figure 2 in Population Genetic Structure of Testudo hermanni boettgeri (Hermann's Tortoise) in Türkiye
Figure 2.UPGMA distance tree created using the Reynolds (1983) weighted model (the node values are bootstrap values estimated with 1000 permutations).
Figure 1 in Population Genetic Structure of Testudo hermanni boettgeri (Hermann's Tortoise) in Türkiye
Figure 1. Sampling localities of T. h. boettgeri (Loc 1: Malkara, Loc 2: Orhaniye, Loc 3: Hanlıyenice, Loc 4: Adasarhan, Loc 5: Balabanlı, Loc 6: İpsala, Loc 7: Hacılar, Loc 8: Şeytanderesi, Loc 9: Meriç, Loc10: Taşlısekban, Loc 11: Kırklareli, Loc 12: Çöpköy, Loc 13: Demirköy, Loc 14: Erikler, and Loc 15: Keşan; the colorations symbolize the clusters).
Figure 3 in Population Genetic Structure of Testudo hermanni boettgeri (Hermann's Tortoise) in Türkiye
Figure 3. Population assignment test performed with Structure. (A) Barplots that estimated membership coefficients of the analyzed individuals in each locality. (B) Barplot, K = 2, clusters for 8 groups in the UPGMA distance tree. (C) Graph of ∆K as a function of the number of groups K, (Evanno's method) (the numbers on the barplots symbolize the sampling localities).
Figure 4 in Population Genetic Structure of Testudo hermanni boettgeri (Hermann's Tortoise) in Türkiye
Figure 4. Maps of the population clusters (K) identified by GENELAND. (A) Map spatial distribution of each group defined, K = 2. (B) Map of the posterior probability defined, K = 2 (the numbers symbolize the sampling localities, the colors in A and B symbolize the clusters inferred in STRUCTURE).
Fig. 5 in Phenotypic structure of Colombian populations of Anastrepha fraterculus complex (Diptera: Tephritidae)
Fig. 5. Box-plots of the significant linear variables and Kruskal-Wallis analysis of means comparing eggs among populations of the Anastrepha fraterculus Andean morphotype in Colombia. Means topped by the same letter are not significantly different at the 5% significance level.
Fig. 3 in Phenotypic structure of Colombian populations of Anastrepha fraterculus complex (Diptera: Tephritidae)
Fig. 3. Box-plots of the significant linear variables and Kruskal-Wallis analysis of means comparing males among populations of the Anastrepha fraterculus Andean morphotype in Colombia. Means topped by the same letter are not significantly different at the 5% significance level.
Fig. 4 in Phenotypic structure of Colombian populations of Anastrepha fraterculus complex (Diptera: Tephritidae)
Fig. 4. Box-plots of the significant linear variables and Kruskal-Wallis analysis of means comparing larvae among populations of the Anastrepha fraterculus Andean morphotype in Colombia. Means topped by the same letter are not significantly different at the 5% significance level.
Fig. 2 in Phenotypic structure of Colombian populations of Anastrepha fraterculus complex (Diptera: Tephritidae)
Fig. 2. Box-plots of the significant linear variables and Kruskal-Wallis analysis of means comparing females among populations of the Anastrepha fraterculus Andean morphotype in Colombia. Means topped by the same letter are not significantly different at the 5% significance level.
Fig. 1 in Phenotypic structure of Colombian populations of Anastrepha fraterculus complex (Diptera: Tephritidae)
Fig. 1. Geographic distribution of populations of the Anastrepha fraterculus Andean morphotype collected in Colombia. Chp: Cachipay; Dtm: Duitama; Flb: Florida Blanca; Ibg: Ibagué; Lun: La Unión; Pns: Pensilvania; Rnd: Roldanillo; Sby: Sibundoy; Svl: Sevilla.
Fig. 3 in Effect of vegetation and abiotic factors on the abundance and population structure of Crocodylus acutus (Cuvier, 1806) in coastal lagoons of Colima, Mexico
Fig. 3. Dendrogram considering the crocodiles observed, water salinity, temperature, depth, and the four vegetation types present. Acronym definitions and characteristics of the sites are given in Table 1.
Fig. 1 in Effect of vegetation and abiotic factors on the abundance and population structure of Crocodylus acutus (Cuvier, 1806) in coastal lagoons of Colima, Mexico
Fig. 1. Selected sites in the study area. Acronym definitions and characteristics of the sites are given in Table 1.
Fig. 2 in Effect of vegetation and abiotic factors on the abundance and population structure of Crocodylus acutus (Cuvier, 1806) in coastal lagoons of Colima, Mexico
Fig. 2. Non-metric Multidimensional Scaling (NMDS) analysis showing the formation of two groups, by taking into account the crocodiles observed, water salinity, temperature, depth, and the four vegetation types present. Acronym definitions and characteristics of the sites are given in Table 1.
Fig. 2 in Impacts of a highway on the population genetic structure of a threatened freshwater turtle (Glyptemys insculpta)
Fig. 2. Estimate of short-term gene flow among populations north and south of Interstate Highway 88 (gray bar) and the Susquehanna River (dashed line) shown with 95% confidence intervals. Circle size reflects relative sample size. Values inside of circles represent the contribution of gene flow from within populations.
Fig. 1. Study area. Interstate Highway 88 in Impacts of a highway on the population genetic structure of a threatened freshwater turtle (Glyptemys insculpta)
Fig. 1. Study area. Interstate Highway 88 (I-88) and the Susquehanna River (Susq.) bisect Otsego and Delaware Counties, New York, USA.
Fig. 5 in Fossil population structure and mortality analysis of the cave bears from Urşilor Cave, north-western Romania
Fig. 5. Greatest length vs. width for the lower (A, N = 74) and upper (B, N = 105) cave bear canines from Urşilor (~45–40 calendar kyrs BP).
ScienceDex guides
Understand access before you commit
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.