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.
558
datasets available to search
ShareScore release 0.9.0
Dataset results
558 results for “wild populations”
Data from: Diversification in wild populations of the model organism Anolis carolinensis: a genome-wide phylogeographic investigation
Open the record for dataset details and reuse information.
Data from: Genome-wide single nucleotide polymorphism analysis reveals recent genetic introgression from domestic pigs into Northwest European wild boar populations
Open the record for dataset details and reuse information.
DNA methylation as a tool to explore ageing in wild roe deer populations
Open the record for dataset details and reuse information.
Data from: probing variation in reaction norms in wild populations: the importance of reliable environmental proxies
Open the record for dataset details and reuse information.
Sperm morphology and count vary with fine-scale changes in local density in a wild lizard population
Open the record for dataset details and reuse information.
Figure 3 from: Francis B, Gilman RT (2019) Light intensity affects leaf morphology in a wild population of Adenostyles alliariae (Asteraceae). Italian Botanist 8: 35-45. https://doi.org/10.3897/italianbotanist.8.39393
Figure 3 Effects of light intensity on adaxial surface area A and FA B in A. Alliariae leaves. Each point represents the most basal leaf of a plant growing in a shaded (filled circles) or open (open circles) site. The solid line indicates a significant relationship (p < 0.0001) and the dashed line indicates a marginally significant relationship (p = 0.0732). Lines of best fit are back-transformed from models fitted to Box-Cox transformed data.
Figure 1 from: Francis B, Gilman RT (2019) Light intensity affects leaf morphology in a wild population of Adenostyles alliariae (Asteraceae). Italian Botanist 8: 35-45. https://doi.org/10.3897/italianbotanist.8.39393
Figure 1 The most basal leaf from an A. alliariae plant sampled in this study. Ls and Rs represent the measures for the midrib to the widest points on left and right of the leaf, respectively.
Supplementary material 1 from: Francis B, Gilman RT (2019) Light intensity affects leaf morphology in a wild population of Adenostyles alliariae (Asteraceae). Italian Botanist 8: 35-45. https://doi.org/10.3897/italianbotanist.8.39393
: Data type: morphometric data
Data from: Negative effects of individual heterozygosity on reproductive success in a wild bird population
<p>The evolutionary consequences of individual genetic diversity are frequently studied by assessing heterozygosity-fitness correlations (HFCs). The prevalence of positive and negative HFCs and the predominance of general versus local effects in wild populations are far from understood, partly because comprehensive studies testing for both inbreeding and outbreeding depression are lacking. We studied a genetically diverse population of blue tits in southern Germany using a genome-wide set of 87 microsatellites to investigate the relationship between proxies of reproductive success and measures of multi-locus and single-locus individual heterozygosity (MLH and SLH). We used complimentary measures of MLH and partitioned markers into functional categories according to their position in the blue tit genome. HFCs based on MLH were consistently negative for functional loci, whereas correlations were rather inconsistent for loci found in non-functional areas of the genome. Clutch size was the only reproductive variable showing a general effect. We found evidence for local effects for three measures of reproductive success: arrival date at the breeding site, the probability of breeding at the study site, and male reproductive success. For these, we observed consistent, and relatively strong, negative effects at one functional locus. Remarkably, this marker had a similar effect in another blue tit population from Austria (~400 km to the east). We suggest that a genetic local effect on timing of arrival might be responsible for most negative HFCs detected, with carry-over effects on other reproductive traits. This effect could reflect individual differences in the distance between overwintering areas and breeding sites.</p>
Figure 9 in Environmental influences on movements and distribution of a wild horse (Equus caballus) population in western Nevada, USA: a 25-year study
Figure 9. Key summer range (KSR) use by horse population and human presence. Data are for use from May to September. Human presence is presented as per cent of its highest year. Human presence includes private sector activities, educational/commercial activities and research/management activities. Human presence was generally greatest during the horse breeding/foaling period (May–June).
Figure 7 in Environmental influences on movements and distribution of a wild horse (Equus caballus) population in western Nevada, USA: a 25-year study
Figure 7. Annual key summer range (KSR) use in relationship to KSR condition and annual Montgomery Pass Wild Horse Territory (MPWHT) precipitation. The latter two data sets are presented in relative fashion as per cent of highest year.
Figure 10 in Environmental influences on movements and distribution of a wild horse (Equus caballus) population in western Nevada, USA: a 25-year study
Figure 10. Relationship of reduced key summer range (KSR) use on whole-population foal survival. KSR is the primary area of lion use and predation. Foal survival is presented as the ratio of current-year yearlings to previous-year foals expressed as a percentage. Foal survival data are for the entire Montgomery Pass Wild Horse Territory (MPWHT) population.
Figure 1 in Environmental influences on movements and distribution of a wild horse (Equus caballus) population in western Nevada, USA: a 25-year study
Figure 1. Montgomery Pass Wild Horse Territory (MPWHT) Map. The MPWHT lies on the California–Nevada border. Agency jurisdictions are USFS (green) and BLM (white). The three major horse areas are KSR (key summer range, i.e. upper elevations), Adobe Valley and Basalt (both historical winter range, lower elevations). Dotted lines within and outside the territory boundary represent additional horse use associated with the three main use areas. Hatched pink areas are grazing allotments (AV = Adobe Valley, BL = Black Lake, BS = Basalt). Closed squares are permanent springs. Open circles are seasonal springs. The blue line is Adobe Creek running into AV. Numbers are elevations (m), and triangle is highest point in MPWHT (2556 m). The lower left and right perimeters of the Territory roughly coincide with two paved roads (Routes 120 and 6). Relief aspect of map is courtesy of Google Earth.
Genetic diversity and structure of wild Vaccinium populations - V. myrtillus, V.vitis-idaea and V. uliginosum in the Baltic States
<p>V. myrtillus L., V. vitis-idaea L. and V. uliginosum L. belong to the genus Vaccinium. These wild species are widely distributed and ecologically important within the Baltic countries but they have not been extensively studied using molecular markers. EST-SSR and cpSSR markers were used to investigate the population structure and genetic diversity of these species to obtain information useful for the development of in situ conservation strategies for these species.</p> <p>Wild Vaccinium species populations are moderately genetically differentiated, with some populations more highly differentiated, but without higher order clustering of groups of populations, indicating that there are no dispersal barriers for these species within the Baltic countries. Genetic diversity of populations growing in protected areas, managed forests and intensively utilised public recreational areas is similar.</p>
Data from: Carry-over effects of the social environment on future divorce probability in a wild bird population
Initial mate choice and re-mating strategies (infidelity and divorce) influence individual fitness. Both of these should be influenced by the social environment, which determines the number and availability of potential partners. While most studies looking at this relationship take a population-level approach, individual-level responses to variation in the social environment remain largely unexplored. Here, we explore carry-over effects on future mating decisions of the social environment in which the initial mating decision occurred,. Using detailed data on the winter social networks of great tits we tested whether the probability of subsequent divorce, a year later, could be predicted by measures of the social environment at the time of pairing. We found that males that had a lower proportion of female associates, and whose partner ranked lower amongst these, as well as inexperienced breeders, were more likely to divorce after breeding. We found no evidence that a female's social environment influenced the probability of divorce. Our findings highlight the importance of the social environment that individuals experience during initial pair formation on later pairing outcomes, and demonstrate that such effects can be delayed. Exploring these extended effects of the social environment can give valuable insights into processes and selective pressures acting upon the mating strategies that individuals adopt.
Data from: Islands and streams: clusters and gene flow in wild barley populations from the Levant
The domestication of plants frequently results in a high level of genetic differentiation between domesticated plants and their wild progenitors. This process is counteracted by gene flow between wild and domesticated plants because they are usually able to inter-mate and to exchange genes. We investigated the extent of gene flow between wild barley Hordeum spontaneum and cultivated barley Hordeum vulgare, and its effect on population structure in wild barley by analyzing a collection of 896 wild barley accessions (Barley1K) from Israel and all available Israeli H. vulgare accessions from the Israeli gene bank. We compared the performance of simple sequence repeats (SSR) and single nucleotide polymorphisms (SNP) marker data genotyped over a core collection in estimating population parameters. Estimates of gene flow rates with SSR markers indicated a high level of introgression from cultivated barley into wild barley. After removing accessions from the wild barley sample that were recently admixed with cultivated barley, the inference of population structure improved significantly. Both SSR and SNP markers showed that the genetic population structure of wild barley in Israel corresponds to the three major ecogeographic regions: the coast, the Mediterranean north, and the deserts in the Jordan valley and the South. Gene flow rates were estimated to be higher from north to south than in the opposite direction. As has been observed in other crop species, there is a significant exchange of alleles between the wild species and domesticated varieties that needs to be accounted for in the population genetic analysis of domestication.
Data from: Strong selection barriers explain microgeographic adaptation in wild salamander populations
Microgeographic adaptation occurs when populations evolve divergent fitness advantages across the spatial scales at which focal organisms regularly disperse. Although an increasing number of studies find evidence for microgeographic adaptation, the underlying causes often remain unknown. Adaptive divergence requires some combination of limited gene flow and strong divergent natural selection among populations. In this study, we estimated the relative influence of selection, gene flow and the spatial arrangement of populations in shaping patterns of adaptive divergence in natural populations of the spotted salamander (Ambystoma maculatum). Within the study region, A. maculatum co-occur with the predatory marbled salamander (A. opacum) in some ponds, and past studies have established a link between predation risk and adaptive trait variation in A. maculatum. Using 14 microsatellite loci, we found a significant pattern of genetic divergence among A. maculatum populations corresponding to levels of A. opacum predation risk. Additionally, A. maculatum foraging rate was strongly associated with predation risk, genetic divergence and the spatial relationship of ponds on the landscape. Our results indicate the sorting of adaptive genotypes by selection regime and strongly suggest that substantial selective barriers operate against gene flow. This outcome suggests that microgeographic adaptation in A. maculatum is possible because strong antagonistic selection quickly eliminates maladapted phenotypes despite ongoing and substantial immigration. Increasing evidence for microgeographic adaptation suggests a strong role for selective barriers in counteracting the homogenizing influence of gene flow.
Data from: Combining animal personalities with transcriptomics resolves individual variation within a wild-type zebrafish population and identifies underpinning molecular differences in brain function
Resolving phenotype variation within a population in response to environmental perturbation is central to understanding biological adaptation. Relating meaningful adaptive changes at the level of the transcriptome requires the identification of processes that have a functional significance for the individual. This remains a major objective towards understanding the complex interactions between environmental demand and an individual's capacity to respond to such demands. The interpretation of such interactions and the significance of biological variation between individuals from the same or different populations remain a difficult and under-addressed question. Here, we provide evidence that variation in gene expression between individuals in a zebrafish population can be partially resolved by a priori screening for animal personality and accounts for >9% of observed variation in the brain transcriptome. Proactive and reactive individuals within a wild-type population exhibit consistent behavioural responses over time and context that relates to underlying differences in regulated gene networks and predicted protein–protein interactions. These differences can be mapped to distinct regions of the brain and provide a foundation towards understanding the coordination of underpinning adaptive molecular events within populations.
Data from: Genetic diversity and population structure of wild sunflower (Helianthus annuus L.) in Argentina: reconstructing its invasion history
Studying the levels and patterns of genetic diversity of invasive populations is important to understand the evolutionary and ecological factors promoting invasions and for better designing preventive and control strategies. Wild sunflower (Helianthus annuus L.) is native to North America and was introduced, and has become invasive, in several countries, including Argentina (ARG). Here, using classical population genetic analyses and Approximate Bayesian Computation (ABC) modelling, we studied the invasion history of wild sunflower in ARG. We analyzed 115 individuals belonging to 15 populations from ARG (invasive range) and United States (US, native range) at 14 nuclear and three chloroplast simple sequence repeat markers along with 23 phenotypic variables. Populations from ARG showed similar levels of nuclear genetic diversity to US populations and higher genetic diversity in the chloroplast genome, indicating no severe genetic bottlenecks during the invasion process. Bayesian clustering analysis, based on nuclear markers, suggests the presence of three genetic clusters, all present in both US and ARG. Discriminant analysis of principal components (DAPC) detected an overall low population structure between central US and ARG populations but separated two invasive populations from the rest. ABC modelling supports multiple introductions but also a southward dispersal within ARG. Genetic and phenotypic data support the central US as a source of introduction while the source of secondary introductions could not be resolved. Finally, using genetic markers from the chloroplast genome, we found lower population structure in ARG when compared to US populations, suggesting a role for seed-mediated gene flow in Argentina.
Data from: Testing for a genetic response to sexual selection in a wild Drosophila population
In accordance with the consensus that sexual selection is responsible for the rapid evolution of display traits on macroevolutionary scales, microevolutionary studies suggest sexual selection is a widespread and often strong form of directional selection in nature. However, empirical evidence for the contemporary evolution of sexually selected traits remains weak. In this study we used a novel application of quantitative genetic breeding designs to test for a genetic response to sexual selection on eight chemical display traits in a field population of the fly, Drosophila serrata. Using our quantitative genetic approach, we were able to detect a genetically-based difference in means between groups of males descended from either successful or random wild males for one of these display traits, the diene (Z,Z)-5,9-C27:2. Our experimental results, in combination with previous lab studies on this system, suggest that both natural selection and sexual selection may be influencing the evolutionary trajectories of these traits in nature, limiting the capacity for a contemporary evolutionary response.
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.