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23
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ShareScore release 0.9.0
Dataset results
23 results for “inter-individual variation”
Data from: Multimodal in situ datalogging quantifies inter-individual variation in thermal experience and persistent origin effects on gaping behavior among intertidal mussels (Mytilus californianus)
In complex habitats, environmental variation over small spatial scales can equal or exceed larger-scale gradients. This small-scale variation may allow motile organisms to mitigate stressful conditions by choosing benign microhabitats, whereas sessile organisms may rely on other behaviors to cope with environmental stresses in these variable environments. We developed a monitoring system to track body temperature, valve gaping behavior, and posture of individual mussels (Mytilus californianus) in field conditions in the rocky intertidal zone. Neighboring mussels' body temperatures varied by up to 14°C during low tides. Valve gaping during low tide and postural adjustments, which could theoretically lower body temperature, were not commonly observed. Rather, gaping behavior followed a tidal rhythm at a warm, high intertidal site; this rhythm shifted to a circadian period at a low intertidal site and for mussels continuously submerged in a tidepool. However, individuals within a site varied considerably in time spent gaping when submerged. This behavioral variation could be attributed in part to persistent effects of mussels' developmental environment. Mussels originating from a wave-protected, warm site gaped more widely, and they remained open for longer periods during high tide than mussels from a wave-exposed, cool site. Variation in behavior was modulated further by recent wave heights and body temperatures during the preceding low tide. These large ranges in body temperatures and durations of valve closure events - which coincide with anaerobic metabolism - support the conclusion that individuals experience "homogeneous" aggregations such as mussel beds in dramatically different fashion, ultimately contributing to physiological variation among neighbors.
Data from: Multimodal in situ datalogging quantifies inter-individual variation in thermal experience and persistent origin effects on gaping behavior among intertidal mussels (Mytilus californianus)
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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: A hierarchical model for external electrical control of an insect, accounting for inter-individual variation of muscle force properties
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Supplementary Materials for the manuscript "Inter-individual speed variation of bacteria dispersing on fungal highways"
<p>This repository includes all datasets used and created for the manuscript "Inter-individual speed variation of bacteria dispersal on fungal highways". </p> <p>----5 videos were used for producing the dispersal speed distribution of the RFP labelled Pseudomonas putida UWC1 cells:</p> <p>100x_rfp_2days***.gif</p> <p>----5 videos were used for producing the dispersal speed distribution of the GFP labelled Pseudomonas putida KT2440 cells:</p> <p>100x_gfp_2days***.gif</p> <p>----Data used for location tracking of the two videos shown in Figure 1:</p> <p>100x_rfp_2days028.nd2</p> <p>TrackMate capture of 100x_rfp_2days028.tif</p> <p>100x_gfp_2days005.nd2</p> <p>TrackMate capture of 100x_gfp_2days005.tif</p> <p>----5 Speed distribution raw data files for the RFP labelled cells:</p> <p>rfp_2days***_11fps_2_2movement.csv</p> <p>----5 Speed distribution raw data files for the GFP labelled cells:</p> <p>gfp_2days***_11fps_2_movement.csv</p> <p>----R script for calculating speed distribution of cells:</p> <p>speed calculation.R</p> <p>----Mathematica Notebook file for data visulization:</p> <p>HistCompare.nb</p> <p>----10 best fits of probability distribution functions and goodness-of-fit criteria analysis of the speed of RFP labelled cells:</p> <p>rfp-FitTable.csv</p> <p>----10 best fits of probability distribution functions and goodness-of-fit criteria analysis of the speed of GFP labelled cells:</p> <p>gfp-FitTable.csv</p>
Inter-individual Variation in the Blood Pressure Lowering Effects of Dietary Nitrate
ClinicalTrials.gov study NCT05514821. IPD Sharing: YES. Countries: 1. Publications: 1.
Data from: Repeatable inter-individual variation in the thermal sensitivity of metabolic rate
Assessing whether trait variations among individuals are consistent over time and among environmental conditions is crucial to understand evolutionary responses to new selective pressures such as climate change. According to the universal thermal dependence hypothesis, thermal sensitivity of metabolic rate should not vary strongly and consistently among organisms, implying limited evolutionary response for metabolic traits under climate change. However, this hypothesis has been rarely tested at an individual level, leaving a gap in our understanding of climate change impacts on metabolic responses and their potential evolution. Using the amphipod Gammarus fossarum, we investigated the variability and repeatability of individual metabolic thermal reaction norms over time. We found large variations in both the thermal sensitivity (i.e. slope) and expression level (i.e. intercept) of individual metabolic reaction norms. Moreover, differences among individuals were consistent over time, and therefore repeatable. Inter-individual variations in body mass resulted in a high repeatability of metabolic expression level but had no significant effect on the repeatability of thermal sensitivity. Overall, our results highlight that inter-individual variability and repeatability of thermal reaction norms can be substantial. We conclude that these consistent differences among individuals should not be overlooked when apprehending the ecological and evolutionary effects of climate change.
Data from: Simple metrics to characterize inter-individual and temporal variation in habitat selection behaviour
<p>1. Individual variation in habitat selection and movement behavior is receiving growing attention, but primarily with respect to characterizing behaviors in different contexts as opposed to decomposing structure in behavior within populations. This focus may be limiting advances in understanding the diversity of individual behavior and its influence on population organization. We propose a framework for characterizing variation in space-use behavior with the aim of advancing interpretation of its form and function.</p> <p>2. Using outputs from integrated Step Selection Analyses of 20 years of telemetry data from African elephants (<em>Loxodonta Africana</em>), we developed four metrics characterizing differentiation in resource selection behavior within a population [specialization (magnitude of the response independent of direction), heterogeneity (inter-individual variation), consistency (temporal shift in response) and reversal (frequency of directional changes in the response)].</p> <p>3. We contrast insight from the developed metrics relative to the mean population response using an example focused on two covariates. We then expanded this contrast by evaluating if the metrics identify structurally important information on seasonal shifts in resource selection behaviors in addition to that provided by mean selection coefficients through Principal Component Analyses (PCAs) and a random forest classification.</p> <p>4. The simplified example highlighted that for some covariates focusing on the population average failed to capture complex individual variation in behaviors. The PCAs revealed that the developed metrics provided additional information in explaining the patterns in elephant selection beyond that offered by population average covariate values. For elephants, specialization and heterogeneity were informative, with specialization often being a better descriptor of differences in seasonal resource selection behavior than population average responses. Summarizing these metrics spatially and temporally, we illustrate how these metrics can provide insights on overlooked aspects of animal behavior.</p> <p>5. Our work offers a new approach in how we conceptualize variation in space-use behavior (i.e., habitat selection and movement) by providing ways of encapsulating variation that enables diagnoses of the drivers of individual level variability in a population. <span>The developed metrics explicitly distill how variation in a behavior is structured among individuals and over time which could facilitate comparative work across time, populations, or strata within populations.</span></p>
Data from: Repeatable inter-individual variation in the thermal sensitivity of metabolic rate
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Data from: Simple metrics to characterize inter-individual and temporal variation in habitat selection behaviour
Open the record for dataset details and reuse information.
Inter-individual variation in genes governing human hippocampal progenitor differentiation is associated with hippocampal volume in adulthood
GEO Series GSE95791. Homo sapiens. 95 samples. Type: Expression profiling by array.
The effect of genotype and in utero environment on inter-individual variation in neonate DNA methylomes (genotypes)
GEO Series GSE54445. Homo sapiens. 237 samples. Type: SNP genotyping by SNP array.
Evaluating intra- and inter-individual variation in the human placental transcriptome
GEO Series GSE66622. Homo sapiens. 80 samples. Type: Expression profiling by high throughput sequencing.
The relationship between DNA methylation, genetic and expression inter-individual variation in untransformed human fibroblasts [expression profiling]
GEO Series GSE53243. Homo sapiens. 64 samples. Type: Expression profiling by array.
The relationship between DNA methylation, genetic and expression inter-individual variation in untransformed human fibroblasts [methylation profiling]
GEO Series GSE52025. Homo sapiens. 62 samples. Type: Methylation profiling by genome tiling array.
Inter-individual variations in circadian misalignment-induced NAFLD pathophysiology in mice
GEO Series GSE245519. Mus musculus. 41 samples. Type: Expression profiling by high throughput sequencing.
Inter-individual variation among worms in a shared environment
GEO Series GSE98747. Caenorhabditis elegans. 41 samples. Type: Expression profiling by array.
The contribution of RNA decay quantitative trait loci to inter-individual variation in steady-state gene expression levels
GEO Series GSE37451. Homo sapiens. 350 samples. Type: Expression profiling by array.
The relationship between DNA methylation, genetic and expression inter-individual variation in untransformed human fibroblasts
GEO Series GSE53261. Homo sapiens. 304 samples. Type: Expression profiling by array; SNP genotyping by SNP array; Genome variation profiling by SNP array; Methylation profiling by genome tiling array; Methylation profiling by high throughput sequencing.
The effect of genotype and in utero environment on inter-individual variation in neonate DNA methylomes (methylomes)
GEO Series GSE53816. Homo sapiens. 237 samples. Type: Methylation profiling by genome tiling array.
ScienceDex guides
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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.