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.
308
datasets available to search
ShareScore release 0.9.0
Dataset results
308 results for “Individual variation”
Climate biogeography of Arabidopsis thaliana: Linking distribution models and individual variation
<p>Patterns of individual variation are key to testing hypotheses about the mechanisms underlying biogeographic patterns. If species distributions are determined by environmental constraints, then populations near range margins may have reduced performance and be adapted to harsher environments. Model organisms are potentially important systems for biogeographical studies, given the available range‐wide natural history collections, and the importance of providing biogeographical context to their genetic and phenotypic diversity. We fit occurrence records to climate data and then projected the distribution of <em>Arabidopsis</em> under the last glacial maximum, current, and future climates. We confronted model predictions with individual performance measured on 2194 herbarium specimens, and we asked whether predicted suitability was associated with life history and genomic variation measured on ~900 natural accessions. The most important climate variables constraining the <em>Arabidopsis</em> distribution were winter cold in northern and high-elevation regions and summer heat in southern regions. Herbarium specimens from regions with lower habitat suitability in both northern and southern regions were smaller, supporting the hypothesis that the distribution of <em>Arabidopsis</em> is constrained by climate‐associated factors. Climate anomalies partly explained interannual variation in herbarium specimen size, but these did not closely correspond to local limiting factors identified in the distribution model. Late‐flowering genotypes were absent from the lowest suitability regions, suggesting slower life histories are only viable closer to the centre of the realized niche. We identified glacial refugia farther north than previously recognized, as well as refugia concordant with previous population genetic findings. Lower latitude populations, known to be genetically distinct, are most threatened by future climate change. The recently colonized range of Arabidopsis was well‐predicted by our native‐range model applied to certain regions but not others, suggesting it has colonized novel climates. Integration of distribution models with performance data from vast natural history collections is a route forward for testing biogeographical hypotheses about species distributions and their relationship with evolutionary fitness across large scales.</p>
Individual variation in marine larval-fish swimming speed and the emergence of dispersal kernels
<p>Dispersal emerges as a consequence of how an individual's phenotype interacts with the environment. Not all dispersing individuals have the same phenotype, and variation among individuals can generate complex variation in the distribution of dispersal distances and directions. While active locomotion performance is an obvious candidate for a dispersal phenotype, its effects on dispersal are difficult to measure or predict, especially in small organisms dispersing in wind or currents. Therefore, we analyzed the effects of larval swimming on dispersal and settlement of coral-reef fish larvae using a high-resolution biophysical model. The model is, to date, the only biophysical model of marine larval dispersal that has been statistically validated against genetic parentage estimates of larval origin and destination, and incorporates empirically-estimated larval behaviors and their ontogeny. Larval swimming, in combination with depth, orientation, and navigation behaviors, actually reduced dispersal distances compared to those of passive larvae. Swimming had no consistent effects on long distance dispersal, but increased the spread of settlement locations. Swimming speed, in contrast, did not consistently affect median dispersal distances, but faster swimming larvae had greater mean and maximum dispersal distances than slower swimming larvae. Finally, faster larval swimming speeds consistently increased the probability of settlement. Our analysis shows how larval swimming differentially affects multiple properties of dispersal kernels. In doing so, it indicates how selection could favor faster larval swimming to increase settlement, which may actually result in longer dispersal distances as a by-product of larvae trying to locate habitat rather than to disperse greater distances.</p>
Individual and species variation in mixed-species aggregations of harvestmen
<p>This dataset is associated with the published paper Escalante, I, M Domínguez, D Gómez-Ruiz, and G Machado. Benefits and costs of multi-specific aggregations in harvestmen (Arachnida: Opiliones). Frontiers in Ecology and Evolution (DOI 10.3389/fevo.2021.766323). Please refer to the paper for the extensive explanations on the collection, analysis, presentation, and analyses of the data. </p> <p>We provide the first description of mixed-species roosting aggregations of seven species of the genus <em>Prionostemma </em>from Costa Rica. We surveyed several plants (trees and palms) for the presence of harvestmen of seven different species across time (14 days). These harvestmen are frequently found in aggregations. Hence, we also counted the number of individuals in each aggregation. Additionally, we counted the number of legs in each harvestmen, as well as the number of parasitic mite larvae found in the harvestmen's bodies. With all of this information, we were able to explore the effects of the roosting status (solitary/aggregated), the aggregation size, and the species composition of the aggregations (single- or multi-species aggregations) with potential benefits (less damage, i.e., individuals with all of their legs) and costs (a higher parasitic infection).</p>
Among-individual diet variation within a lake trout ecotype: Lack of stability of niche use
<p>In a polymorphic species, predictable differences in resource use are expected among ecotypes, and homogeneity in resource use is expected within an ecotype. Yet, using a broad resource spectrum has been identified as a strategy for fishes living in unproductive northern environments, where food is patchily distributed and ephemeral.<span> We investigated whether specialization of trophic resources by individuals occurred within the generalist piscivore ecotype of lake trout from Great Bear Lake, Canada, reflective of a form of diversity</span>. Four distinct dietary patterns of resource use within this lake trout ecotype were detected from fatty acid composition, with some variation linked to spatial patterns within Great Bear Lake. Feeding habits of different groups within the ecotype were not associated with detectable morphological or genetic differentiation, suggesting that behavioral plasticity caused the <span>trophic differences</span>. A low level of genetic differentiation was detected between exceptionally large-sized individuals and other piscivore individuals. We demonstrated <span>that individual trophic specialization can occur within an ecotype inhabiting </span>a geologically young system (8,000–10,000 yr BP), a lake that sustains high levels of phenotypic diversity of lake trout overall.<span> The characterization of niche use among individuals, as done in this study, is necessary to understand the role that individual variation can play at the beginning of differentiation processes.</span></p>
Fig. 7. Captive individual did not eat frogs when offered. Photo credit Dikansh S in Description of head scalation variation, hemipenis, reproduction, and behavior of the Indian Smooth Snake, Coronella brachyura (Günther 1866)
Fig. 7. Captive individual did not eat frogs when offered. Photo credit Dikansh S. Parmar.
Individual variation in feeding performance and kinematics in the canary
<ol> <li><span>In granivorous songbirds, feeding is a complex process as seeds need to be dehusked before they can be consumed, making the feeding act a biomechanically challenging endeavour. However, most previous research has focused on how beak morphology affects feeding performance, while the influences of beak kinematics remain largely unknown. </span></li> <li><span>In this study, we hence investigated at the individual level how feeding performance (i.e. seed processing time and success rate) relates to both beak kinematics (i.e. beak tip speed, acceleration, frequency) and skill (i.e. seed handling tactics and cracking techniques) in the Canary (<em>Serinus</em> <em>canaria</em>). To do so, high-speed videos during feeding were recorded and subjected to automated tracking of beak tip movements.</span></li> <li><span>Better skills, i.e. accurate positioning of the seed for being split in half, reduced total seed handling time compared to more random positioning and crushing the husk into multiple, scattering fragments. Surprisingly, individual variation in beak speed, acceleration, or frequency generally did not relate to differences in performance. </span></li> <li><span>Thus, our data suggests that seed positioning precision, and hence the control of coordinated beak and tongue movement, is critical to minimize feeding durations in songbirds. Further studies are needed to explore whether this develops via a positive feedback between behaviour, learning and increased efficiency or if it relates to intrinsic differences.</span></li> </ol>
Open-population SCR model to estimate spatiotemporal variation in individual birth locations, detection rates, and survival
<p>This is an open population SCR model developed by R. Chandler and K. Engebretsen. The full model incorporates 4 spatial covariates in birth location density submodel, 3 location-specific, temporal covariates in the detection submodel, and 4 spatial covariates in the survival submodel. </p> <p>Formatted data is provided for the 2015 and 2016 fawning season in south Florida and the model can be fit using the script fitFawnModel.R.</p>
Data from: Maintenance and expansion of genetic and trait variation following domestication in a clonal crop: Enset tGBS individual genotype data
<p class="MsoNormal">Clonal propagation enables favourable crop genotypes to be rapidly selected and multiplied. However, the absence of sexual propagation can lead to low genetic diversity and accumulation of deleterious mutations, which may eventually render crops less resilient to pathogens or environmental change. To better understand this trade-off, we characterise the domestication and contemporary genetic diversity of Enset (<em>Ensete ventricosum</em>), an indigenous African relative of bananas (<em>Musa</em>) and principal starch staple for 20 million Ethiopians. Wild enset is strictly sexually outcrossing, but in cultivation is propagated clonally and associated with diversification and specialisation into hundreds of named landraces. We applied tGBS sequencing to generate genome-wide genotypes for 192 accessions from across enset's cultivated distribution, and surveyed 1340 farmers on enset agronomic traits. Overall, reduced heterozygosity in the domesticated lineage was consistent with a domestication bottleneck that retained 37% of wild diversity. However, an excess of putatively deleterious missense mutations at low frequency present as heterozygotes suggested accumulation of mutational load in clonal domesticated lineages. Our evidence indicates that the major domesticated lineages initially arose through historic sexual recombination associated with a domestication bottleneck, followed by amplification of favourable genotypes through an extended period of clonal propagation. Among domesticated lineages we found significant phylogenetic signal for multiple farmer-identified food, nutrition and disease resistance traits and little evidence of contemporary recombination. Development of future-climate adapted genotypes may require crop breeding, but outcrossing risks exposing deleterious alleles as homozygotes. This trade-off may partly explain the ubiquity and persistence of clonal propagation over recent centuries of comparative climate stability.</p>
Data from: A hierarchical model for external electrical control of an insect, accounting for inter-individual variation of muscle force properties
<p>Cyborg control of insect movement is promising for developing miniature, high-mobility, and efficient biohybrid robots. However, considering the inter-individual variation of the insect neuromuscular apparatus and its neural control is challenging. We propose a hierarchical model including inter-individual variation of muscle properties of three leg muscles 14 involved in propulsion (retractor coxae), joint stiffness (pro- and retractor coxae), and stance-swing transition (protractor coxae and levator trochanteris) in the stick insect Carausius morosus. To estimate mechanical effects induced by external muscle stimulation, the model is based on the systematic evaluation of joint torques as functions of electrical stimulation parameters. A nearly linear relationship between the stimulus burst duration and generated torque was observed. This stimulus-torque characteristic holds for burst durations of up to 500ms, corresponding to the stance and swing phase durations of medium to fast walking stick insects. Hierarchical Bayesian modeling revealed that linearity of the stimulus-torque characteristic was invariant, with individually varying slopes. Individual prediction of joint torques provides significant benefits for precise cyborg control.</p>
Data from: Leaf trait variation within individuals mediates the relationship between tree species richness and productivity
<p>This dataset contains tree biometry data and leaf trait data of the Kreinitz Tree Diversity Experiment. In winter 2013/14 and winter 2016/17, height and basal area were measured for all 2880 individuals of the Kreinitz experiment. Tree biometry data is available in the file Data_Kreinitz_Tree.xlsx. In summer 2017, leaf traits for 283 selected trees were measured via near-infrared spectroscopy. For each tree, samples were taken from approximately 3 levels in the trees' crown (total 843 levels). At each level, approximately 4 leaves were harvested (total 3656 leaves) and scanned in triplicates (total 10986 scans). Sampled leaves were scanned on the day of harvest.<br>Leaf trait data is available in the file Data_Kreinitz_Leaf.xlsx.</p>
Biological Basis of Individual Variation in Social Cooperation
ClinicalTrials.gov study NCT01566539. IPD Sharing: Not stated. Countries: 1. Publications: 6.
Resource-related variables drive individual variation in flowering phenology and mediate population-level flowering responses to climate in an asynchronously reproducing palm
Open the record for dataset details and reuse information.
Individual variation in migratory behavior in a sub-arctic partial migrant shorebird
Open the record for dataset details and reuse information.
Data from: Delusions of grandeur: seed count is not a good fitness proxy under individual variation in phenology
Open the record for dataset details and reuse information.
Arctic seabirds show individual variation in foraging responses to glacial conditions without consequences for reproductive output
Open the record for dataset details and reuse information.
Personality does not predict individual niche variation in a freshwater fish
Open the record for dataset details and reuse information.
Individual variation in feeding performance and kinematics in the canary
Open the record for dataset details and reuse information.
Magnolia Warbler (Setophaga magnolia) flight calls demonstrate individuality and variation by season and recording location
Open the record for dataset details and reuse information.
Data from: Fitness outcomes in relation to individual variation in constitutive innate immune function
Open the record for dataset details and reuse information.
Open-population SCR model to estimate spatiotemporal variation in individual birth locations, detection rates, and survival
Open the record for dataset details and reuse information.
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.