Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
33
datasets available to search
ShareScore release 0.9.0
Dataset results
33 results for “sexual shape dimorphism”
Fig. 1 in Sexual Shape Dimorphism In Bufo Verrucosissimus (Pallas, 1814) From Lake Borçka Karagöl, Türkiye
Fig. 1. Relationships between body size and shape characters in males (triangles) and females (dots). Z-transformed character values are plotted against PC1 component scores used as estimates of overall body size. Only characters exhibiting significant sexual
Interspecific allometry for sexual shape dimorphism: macroevolution of multivariate sexual phenotypes with application to Rensch's rule
<p>Allometric trends in the degree of sexual dimorphism with body size have long fascinated evolutionary biologists. Many male-biased clades display more prominent sexual dimorphism in larger taxa (Rensch's rule), with most examples documenting this pattern for body size dimorphism. While sexual dimorphism in traits other than body size is equally functionally relevant, characterizing allometric patterns of sexual dimorphism in such traits is hampered by lack of an analytical framework that can accommodate multivariate phenotypes. In this paper we derive a multivariate equivalency for investigating trends in sexual dimorphism – relative to overall body size – across taxa and provide a generalized test to determine whether such allometric patterns correspond with Rensch's rule. For univariate linear traits like body size, our approach yields equivalent results to those from standard procedures, but our test is also capable of detecting trends in multivariate datasets like shape. Computer simulations reveal the method displays appropriate statistical properties, and an empirical example in Mediterranean lizards provides the first demonstration of Rensch's rule in a multivariate phenotype (head shape). Our generalized procedure substantially extends the analytical toolkit for investigating macroevolutionary patterns of sexual dimorphism and seeking a better understanding of the processes that underlie them.</p>
Sexual dimorphism in size and shape of the head in the sea snake Emydocephalus annulatus
<p>In snakes, divergence in head size between the sexes has been interpreted as an adaptation to intersexual niche divergence. By overcoming gape-limitation, a larger head enables snakes of one sex to ingest larger prey items. Under this hypothesis, we do not expect a species that consumes only tiny prey items to exhibit sex differences in relative head size, or to show empirical links between relative head size and fitness-relevant traits such as growth and fecundity. Our field studies on the sea snake <i>Emydocephalus annulatus</i> falsify these predictions. Although these snakes feed exclusively on fish eggs, the heads of female snakes are longer and wider than those of males at the same body length. Individuals with wider heads grew more rapidly, reproduced more often, and produced larger litters. Thus, head shape can affect fitness and can diverge between the sexes even without gape-limitation. Head size and shape may facilitate other aspects of feeding (such as the ability to scrape eggs off coral) and locomotion (hydrodynamics); and a smaller head may advantage the sex that is more mobile, and that obtains its prey in narrow crevices rather than in more exposed situations (i.e., males).</p>
Sexual dimorphism in size and shape of the head in the sea snake Emydocephalus annulatus
Open the record for dataset details and reuse information.
Interspecific allometry for sexual shape dimorphism: macroevolution of multivariate sexual phenotypes with application to Rensch's rule
Open the record for dataset details and reuse information.
Data and code from: Interspecific allometry of sexual shape dimorphism in small-bodied and large-bodied geckos
Open the record for dataset details and reuse information.
Sexual dimorphism in fin size and shape in North American Killifish
Open the record for dataset details and reuse information.
Data from: How sexual and natural selection shape sexual size dimorphism: evidence from multiple evolutionary scales
1. Sexual size dimorphism (SSD) is pervasive across taxa and reflects differences in the effects of sexual and natural selection on body size between the sexes. However, disentangling the complex eco-evolutionary interactions between these two mechanisms remains a major challenge for biologists. 2. Here, we combine macro-evolutionary (between-species), local evolutionary (between-population) and fine-scale evolutionary (within-population) patterns of SSD to explore how sexual and natural selection interact and shape the evolution of SSD in Australian agamid lizards. Australian agamid lizards show substantial variation in SSD, ecological traits and species density making them an ideal study system to address this question. 3. At the between-species level, population density, ecological generalism and mean species size significantly predict SSD variation, however, only ecological generalism was found to significantly explain variation in larger than average male-biased SSD. At the population level, density positively correlated with SSD in native habitats, but not city park habitats. Last, agonistic behaviour acted as the primary driver of SSD at the within-population level. 4. Our results indicate how sexual and natural selection can interact at different evolutionary scales, and show the importance of considering both selective mechanisms when investigating patterns of SSD.
Fig. 2 in Sexual Size and Shape Dimorphism in Dineutus nigrior (Coleoptera: Gyrinidae)
Fig. 2. Relationships between standardized body length and other body size measures in male and female Dineutus nigrior. Filled circles and solid lines indicate males; open circles and broken lines indicate females. Male n 5 63, female n 5 362–363.
Fig. 1 in Sexual Size and Shape Dimorphism in Dineutus nigrior (Coleoptera: Gyrinidae)
Fig. 1. Frequency distribution of canonical discriminant scores for male and female Dineutus nigrior.
Data and code from Wang et al. "An evaluation of sexual dimorphism in head size and shape in Red Salamanders (Pseudotriton ruber)"
<p>Data and code from Wang et al., "An evaluation of sexual dimorphism in head size and shape in Red Salamanders (<em>Pseudotriton ruber</em>)"</p>
FIGURE 7 in Taxonomic revision of Cypridopsis silvestrii comb. nov. (Ostracoda, Crustacea) from Patagonia, Argentina with morphometric analysis of their intraspecific shape variability and sexual dimorphism
FIGURE 7. Nonmetric Multidimensional Scaling (n-MDS) plot for male and female outlines, normalized for area from ET lake. Inset shows superposition of the virtual mean shape outline of males (light blue) and females (black).
FIGURE 5. Cypridopsis silvestrii comb. nov. A in Taxonomic revision of Cypridopsis silvestrii comb. nov. (Ostracoda, Crustacea) from Patagonia, Argentina with morphometric analysis of their intraspecific shape variability and sexual dimorphism
FIGURE 5. Cypridopsis silvestrii comb. nov. A. Hemipenis (UNC-PMIC 160 male). B. T1 (UNC-PMIC 153 ES female). C. Lpp (UNC-PMIC 161 male). D. Rpp (UNC-PMIC 161 male). E Zenker organ (UNC-PMIC 160 male). F. T2 (UNC-PMIC 153 ES female). G. Genital hooks (UNC-PMIC 154 ES female). H. T3 (UNC-PMIC 153 ES female). I.UR (UNC-PMIC 154 ES female). Scale bar: 100 µm.
FIGURE 1 in Taxonomic revision of Cypridopsis silvestrii comb. nov. (Ostracoda, Crustacea) from Patagonia, Argentina with morphometric analysis of their intraspecific shape variability and sexual dimorphism
FIGURE 1. Geographic location of the surveyed lakes. The upper left map shows Argentina with the Patagonian region in dark grey. The lower left map shows the sampled region with the four surveyed areas (black boxes), which correspond to the regions A, B, C, and D. Grey polygons correspond to water bodies (surveyed in black). The legends indicate the altitude in meters above sea level (masl) based on a digital elevation model (DEM; source www.earthexplorer.usgs.gov.gov), where the upper (A and B), and lower (C and D) panels share the same scale.
FIGURE 2. Cypridopsis silvestrii comb. nov. A in Taxonomic revision of Cypridopsis silvestrii comb. nov. (Ostracoda, Crustacea) from Patagonia, Argentina with morphometric analysis of their intraspecific shape variability and sexual dimorphism
FIGURE 2. Cypridopsis silvestrii comb. nov. A ES female RV external view (UNC-PMIC 149). B ET female RV external view (UNC-PMIC 153). C ET male RV external view (UNC-PMIC 158). D–E ES female LV external view (PMIC 148). F ET male LV external view (UNC-PMIC 158), G ET female Cp dorsal view (UNC-PMIC 154). H ET male Cp dorsal view (UNC- PMIC 159). I–K ES female RV internal view (PMIC 149). L–N ES female LV internal view (UNC-PMIC 148). O ET female Cp ventral view (UNC-PMIC 155). P ETC RV external view (UNC-PMIC 162). Q ETC LV internal view (UNC-PMIC 163). R He female LV internal view (UNC-PMIC 164). Scale bar= 300 µm; E= 50 µm and I, K, L, N= 100 µm.
FIGURE 9 in Taxonomic revision of Cypridopsis silvestrii comb. nov. (Ostracoda, Crustacea) from Patagonia, Argentina with morphometric analysis of their intraspecific shape variability and sexual dimorphism
FIGURE 9. Boxplots showing carapace length (a), Height (b) and H:L (c) of ETf, ETm, ETC, and ES populations. The line within the box marks the median; the lower and upper boundaries of the box indicate the 25th and 75th percentiles, respectively. Error bars above and below the box indicate the 90th and 10th percentiles, respectively, and black points indicate outliers.
FIGURE 6 in Taxonomic revision of Cypridopsis silvestrii comb. nov. (Ostracoda, Crustacea) from Patagonia, Argentina with morphometric analysis of their intraspecific shape variability and sexual dimorphism
FIGURE 6. Nonmetric Multidimensional Scaling (n-MDS) plot showing shape variability (valve outlines were normalized for area) of extant and subfossil populations, with superimposition of reconstructed mean shape outline of each population.
Data from: Sexual shape dimorphism and selection pressure on males in fossil ostracodes
Open the record for dataset details and reuse information.
Data from: How sexual and natural selection shape sexual size dimorphism: evidence from multiple evolutionary scales
Open the record for dataset details and reuse information.
Figure 5 from: Vujić V, Lučić L, Pavković-Lučić S, Ilić B, Jovanović Z, Makarov S, Dudić B (2020) Sexual size and shape dimorphism in Brachydesmus troglobius Daday, 1889 (Diplopoda, Polydesmida). In: Korsós Z, Dányi L (Eds) Proceedings of the 18th International Congress of Myriapodology, Budapest, Hungary. ZooKeys 930: 75-88. https://doi.org/10.3897/zookeys.930.48285
Figure 5 Intersexual differences of antennal shape in B. troglobius illustrated using Canonical Variate Analysis (CVA). Position and size of the vectors' influence on a thin-plate spline deformation grid and illustration of the pattern of intersexual differences of antennal shape (white bars indicate females; grey bars indicate males).
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.