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.
147
datasets available to search
ShareScore release 0.9.0
Dataset results
147 results for “environmental correlation”
F I G U R E 4 in Environmental correlates of adaptive diversification in postglacial freshwater fishes
F I G U R E 4 Visual representation of trends in ecomorph number based on phosphorus concentration (μg L 1). Data from Landry et al. (2007) and Siwertsson et al. (2010). Graph plotted in R using the ggplot2 package (Wickham, 2016).
F I G U R E 1 in Environmental correlates of adaptive diversification in postglacial freshwater fishes
F I G U R E 1 Conceptual diagram of the different components examined in this paper and how they may relate to origins and maintenance of sympatric divergent ecomorphs. Created with BioRender.com.
F I G U R E 5 in Environmental correlates of adaptive diversification in postglacial freshwater fishes
F I G U R E 5 Visual representation of trends in ecomorph number based on the number of fish species present in a lake, other than the diversifying species pairs/groups. Data from Siwertsson et al. (2010), Vamosi (2003), and Öhlund et al. (2020). Graph plotted in R using the ggplot2 package (Wickham, 2016).
F I G U R E 3 in Environmental correlates of adaptive diversification in postglacial freshwater fishes
F I G U R E 3 Visual representation of trends in ecomorph number based on bathymetric traits. (a) Lake surface area (km2). Data from Bolnick and Lau (2008), Gordeeva et al. (2015), Lucek et al. (2016), Öhlund et al. (2020), Siwertsson et al. (2010), and Vamosi (2003). (b) Lake maximum depth (m). Data from Gordeeva et al. (2015), Landry et al. (2007), Öhlund et al. (2020), and Siwertsson et al. (2010). Box plots indicate median and interquartile range. Note that the y-axes in graphs consist of untransformed data but are plotted on logarithmic scales due to the large range in reported values for these variables. Graphs plotted in R using the ggplot2 package (Wickham, 2016).
Data from: Unwrapping broken tails: Biological and environmental correlates of predation pressure in limbless reptiles
<p>Studying species interactions in nature often requires elaborate logistics and intense fieldwork. The difficulties in such task might hinder our ability to answer questions on how biotic interactions change with the environment. Fortunately, a workaround to this problem lies within scientific collections. For some animals, the inspection of preserved specimens can reveal the scars of past antagonistic encounters, such as predation attempts. A common defensive behaviour that leaves scars on animals is autotomy, the loss of a body appendage to escape predation. By knowing the collection site of preserved specimens, it is possible to assess the influence of organismal biology and the surrounding environment in the occurrence of autotomy. We produced data on tail loss for 8,189 preserved specimens of 33 snake and 11 amphisbaenian species to investigate biological and environmental correlates of autotomy in reptiles. We applied generalized linear mixed effect models to evaluate whether body size, sex, life-stage, habitat use, activity pattern, biome, tropicality, temperature, and precipitation affect the probability of tail loss in limbless reptiles. We observed autotomy in 23.6% of examined specimens, with 18.7% of amphisbaenian and 33.4% of snake specimens showing tail loss. Probability of tail loss did not differ between snakes and amphisbaenians, but it was higher among large-sized specimens, particularly in adults and females. Chance of tail loss was higher for diurnal and arboreal species, and among specimens collected in warmer regions, but it was unaffected by biome, precipitation, and tropicality. Autotomy in limbless reptiles was affected by size-dependent factors that interplay with ontogeny and sexual dimorphism, although size-independent effects of life-stage and sex also shaped behavioural responses to predators. The increase in probability of tail loss with verticality and diurnality suggests a risk-balance mechanism between species habitat use and activity pattern. Although autotomy is more likely in warmer regions, it seems unrelated to seasonal differences in snakes and amphisbaenians activity. Our findings reveal several processes related to predator-prey interactions involving limbless reptiles, demonstrating the importance of scientific collections to unveil ecological mechanisms at different spatio-temporal scales.</p>
Fig. 3 Canonical correspondence analysis. Only axes 1 and 2 are shown. Type 2 in Evaluating the correlation between area, environmental heterogeneity, and species richness using terrestrial isopods (Oniscidea) from the Pontine Islands (West Mediterranean)
Fig. 3 Canonical correspondence analysis. Only axes 1 and 2 are shown. Type 2 scaling is shown. A right-angled projection of a point representing a response variable (ecological categories of species) onto an arrow representing an explanatory variable (biotope type)
Fig. 2 in Evaluating the correlation between area, environmental heterogeneity, and species richness using terrestrial isopods (Oniscidea) from the Pontine Islands (West Mediterranean)
Fig. 2 Path analysis model. In this model, species richness (S) is the dependent variable. Area (A) and environmental heterogeneity (H) can have a direct effect on S, whereas A can also have an effect on H. The indicators used for A and S are the log-transformed area in square kilometres (LogA) and the number of species (LogS). Different indicators were used for environmental heterogeneity (B, LogB, Shannon, and 1-D, see main text). The symbols bAS, bAH, and bHS indicate the partial standardised regression coefficients
Figure. Constrained ordination plot as produced from canonical correspondence analysis (CCA). The variability of environmental variables is summarized on Axis 1 and Axis 2 of the constrained biplot, explaining the variability of the trophic groups included in the red fox's diet. Trophic groups are shown with black line (unfilled) pyramids, whereas environmental variables are shown with black filled pyramids. Proximity and distance of response centroids to predictor centroids indicate positive and negative correlations between them, respectively. in Factors affecting the diet of the red fox (Vulpes vulpes) in a heterogeneous Mediterranean landscape
Figure. Constrained ordination plot as produced from canonical correspondence analysis (CCA). The variability of environmental variables is summarized on Axis 1 and Axis 2 of the constrained biplot, explaining the variability of the trophic groups included in the red fox's diet. Trophic groups are shown with black line (unfilled) pyramids, whereas environmental variables are shown with black filled pyramids. Proximity and distance of response centroids to predictor centroids indicate positive and negative correlations between them, respectively.
Figure 2 in Ostracoda (Crustacea) species composition and environmental correlates in different aquatic habitats of the Zonguldak and Bartın regions (Turkey)
Figure 2. CCA diagrams for (a) 4 variables (water temperature [Tw]; electrical conductivity [EC]; dissolved oxygen [DO]; pH) and (b) 15 ostracods in 68 sampling sites.
Figure 3 in Ostracoda (Crustacea) species composition and environmental correlates in different aquatic habitats of the Zonguldak and Bartın regions (Turkey)
Figure 3. Relationships among air temperature (Ta), water temperature (Tw), and number of species (Nuspp) in Bartın and Zonguldak.
FIGURE 1 in Variation in patterns of fish assemblage and their environmental correlates in a tropical river basin from the Gulf of Mexico slope
FIGURE 1 | Study area and sampling sites in the Usumacinta River basin (shaded area in figure box), Mexico. Site number and names of the main rivers in the region are enclosed in boxes (see Tab. 1 for names of watercourses). Black arrow indicates flow direction.
FIGURE 2 in Variation in patterns of fish assemblage and their environmental correlates in a tropical river basin from the Gulf of Mexico slope
FIGURE 2 | Relative contribution of common species to total fish abundance by seasons (left panel) and years (right panel). Species shown had a contribution above the 50% quantile for abundance. Refer to Tab. 1 for species acronyms.
FIGURE 5 in Variation in patterns of fish assemblage and their environmental correlates in a tropical river basin from the Gulf of Mexico slope
FIGURE 5 | Plots for the redundancy analysis of fish communities and environmental data, displaying weighted averages of species scores (A), fitted site scores (B), and species scores of significant species (C). Centroids of factor "ORD" are indicated by a "×". Convex hulls (A, C) and point shape (A, B) show cluster affiliation. DO, dissolved oxygen; DU, distance to the confluence with the Usumacinta River; FC, forest cover; ORD, stream order; TC, water temperature.
FIGURE 4 in Variation in patterns of fish assemblage and their environmental correlates in a tropical river basin from the Gulf of Mexico slope
FIGURE 4 | Multivariate regression tree of transformed species abundances and environmental data. Percentage of improvement in the model is shown under each node; discriminating environmental variables and threshold values are shown at each split. DO, dissolved oxygen; ORD, stream order; n, number of samples.
FIGURE 3 in Variation in patterns of fish assemblage and their environmental correlates in a tropical river basin from the Gulf of Mexico slope
FIGURE 3 | Principal component analysis plot of environmental data. DO, dissolved oxygen; DU, distance to the confluence with the Usumacinta River; EC, electric conductivity; FC, forest cover; ORD, stream order.
FIGURE 4 in Estimated richness and environmental correlates of miniature fish assemblages in the rio Jacundá, Brazil
FIGURE 4 | Pairwise Pearson correlations in species abundance across the 20 sampling locations showing positive correlations in blue and negative correlations in red. Species codes are Aama (Ammoglanis amapaensis), Amin (Ammocryptocharax minutus), Epul (Elachocharax pulcher), Fpal (Fluviphylax palikur), Haft (Hemigrammus aff. tridens), Mwei (Microcharacidium weitzmani), Pana (Physopyxis ananas), Phas (Potamoglanis hasemani) and Tsp (Tyttobrycon sp.).
FIGURE 1 in Estimated richness and environmental correlates of miniature fish assemblages in the rio Jacundá, Brazil
FIGURE 1 | Study area map illustrating A. The location of the rio Jacundá in the lower Amazon Basin, B. The two areas sampled on the western edge of the Reserva Extrativista Ipaú-Anilzinho, Pará, Brazil, C. The distribution of 11 sampling locations and a site photograph at the upstream area, and D. The distribution of nine sampling locations and a site photograph at the downstream area.
FIGURE 3 in Estimated richness and environmental correlates of miniature fish assemblages in the rio Jacundá, Brazil
FIGURE 3 | Non-metric multidimensional scaling (NMDS) plot illustrating 20 sampling locations (points) at upstream (blue boxes) and downstream (red circles) sampling sites. Miniature fish scores are shown as green text, including Aama (Ammoglanis amapaensis), Amin (Ammocryptocharax minutus), Epul (Elachocharax pulcher), Fpal (Fluviphylax palikur), Haft (Hemigrammus aff. tridens), Mwei (Microcharacidium weitzmani), Pana (Physopyxis ananas), Phas (Potamoglanis hasemani), and Tsp (Tyttobrycon sp.). Environmental and spatial correlates with miniature fish assemblage structure are shown as gray vectors and text, including water overhead canopy cover (%), water temperature (C), pH, total suspended solids (TSS, ppm), conductivity (µs/cm), and the spatial relationship among sites from the first axis of an asymmetric eigenvector map (AEM1).
FIGURE 2 in Estimated richness and environmental correlates of miniature fish assemblages in the rio Jacundá, Brazil
FIGURE 2 | Accumulation (solid lines), extrapolation (dashed lines), and 95% confidence intervals (shaded areas) for diversity of miniature (red) and non-miniature (blue) freshwater fishes collected from the rio Jacundá, rio Amazonas basin, Brazil.
Figures 1–3 in Individual variation in the advertisement call of Aplastodiscus albosignatus (Anura: Hylidae) is correlated with body size and environmental temperature
Figures 1–3. Location of the study area: (1) map of Brazil highlighting the state of Paraná; (2) map of Paraná indicating the study area; (3) map of Paraná highlighting the physiognomy of the vegetation.
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.