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613 results for “stress analysis”
Fig. 2. DAMs between XL in Comparative metabolomics analysis of the response to cold stress of resistant and susceptible Tibetan hulless barley (Hordeum distichon)
Fig. 2. DAMs between XL and ZQ. (A) Numbers of DAMs under cold stress (12 °C, 5 °C, 0 °C, −5 °C, −8 °C) or the control condition (24 °C) in XL and ZQ. 1/2/3/4/5/ 6 represent 24 °C/12 °C/5 °C/0 °C/–5 °C/–8 °C, respectively.(B) Upregulated and downregulated metabolites in XL and ZQ at different temperatures. 1/2/3/4/5/6 represent 24 °C/12 °C/5 °C/0 °C/–5 °C/–8 °C, respectively. (C, D) Metabolites that were significantly altered in XL exposed to cold stress (12 °C, 5 °C, 0 °C) compared to the control condition (24 °C), but not in ZQ.
Meta-Analysis of Stress Myocardial Perfusion Imaging
ClinicalTrials.gov study NCT03180060. IPD Sharing: YES. Countries: 1. Publications: 19.
HARMONY Study (Hypertension Analysis of Stress Reduction Using Mindfulness Meditation and Yoga)
ClinicalTrials.gov study NCT00825526. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Bipolar Disorder and Oxidative Stress Injury Mechanism - Clinical Big Data Analysis Based on Machine Learning
ClinicalTrials.gov study NCT03949218. IPD Sharing: Not stated. Countries: 1. Publications: 5.
New Three-dimensional Methods of Analysis for the Detection of Coronary Artery Disease by Dobutamine Stress Echocardiography
ClinicalTrials.gov study NCT02240745. IPD Sharing: Not stated. Countries: 1. Publications: 5.
Data from: Machine learning-based differential network analysis: a study of stress-responsive transcriptomes in Arabidopsis thaliana
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Data from: A seascape genetic analysis of a stress-tolerant coral species along the Western Australian coast
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Data from: RNA-Seq analysis identifies genes associated with differential reproductive success under drought-stress in accessions of wild barley Hordeum spontaneum
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Data from: Identifying differentially expressed genes under heat stress and developing molecular markers in orchardgrass (Dactylis glomerata L.) through transcriptome analysis
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Data to accompany manuscript: Detection and tracking of cracks based on thermoelastic stress analysis
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Data analysis scripts for the publication - Differences in the transcriptomic response of Campylobacter coli and Campylobacter lari to heat stress (Riedel et al.)
<p>Data analysis scripts and data for the publication "Differences in the transcriptomic response of Campylobacter coli and Campylobacter lari to heat stress" by Riedel <em>et al.</em>.</p>
Stress in the city: meta-analysis indicates no overall evidence for stress in urban vertebrates
<p>As cities continue to grow it is increasingly important to understand the long-term responses of wildlife to urban environments. There have been increased efforts to determine whether urbanization imposes chronic stress on wild animals, but empirical evidence is mixed. Here we conduct a meta-analysis to test whether there is, on average, a detrimental effect of urbanisation based on baseline and stress-induced glucocorticoid levels of wild vertebrates. We found no effect of urbanisation on glucocorticoid levels, and neither sex, season, life stage, taxon, size of the city nor methodology accounted for variation in the observed effect sizes. At face value our results suggest that urban areas are no more stressful for wildlife than rural or non-urban areas, but we offer a few reasons why this conclusion could be premature. We propose that refining methods of data collection will improve our understanding of how urbanization affects the health and survival of wildlife.</p>
Data from: Use of elastic stability analysis to explain the stress-dependent nature of soil strength
The peak and critical state strengths of sands are linearly related to the stress level, just as the frictional resistance to sliding along an interface is related to the normal force. The analogy with frictional sliding has led to the use of a 'friction angle' to describe the relationship between strength and stress for soils. The term 'friction angle' implies that the underlying mechanism is frictional resistance at the particle contacts. However, experiments and discrete element simulations indicate that the material friction angle is not simply related to the friction angle at the particle contacts. Experiments and particle-scale simulations of model sands have also revealed the presence of strong force chains, aligned with the major principal stress. Buckling of these strong force chains has been proposed as an alternative to the frictional-sliding failure mechanism. Here, using an idealized abstraction of a strong force chain, the resistance is shown to be linearly proportional to the magnitude of the lateral forces supporting the force chain. Considering a triaxial stress state, and drawing an analogy between the lateral forces and the confining pressure in a triaxial test, a linear relationship between stress level and strength is seen to emerge from the failure-by-buckling hypothesis.
Data from: Inbreeding depression increases with environmental stress: an experimental study and meta-analysis
Inbreeding-environment interactions occur when inbreeding leads to differential fitness loss in different environments. Inbred individuals are often more sensitive to environmental stress than are outbred individuals, presumably because stress increases the expression of deleterious recessive alleles or cellular safeguards against stress are pushed beyond the organism's physiological limits. We examined inbreeding-environment interactions, along two environmental axes (temperature and rearing host) that differ in the amount of developmental stress they impose, in the seed-feeding beetle Callosobruchus maculatus. We found that inbreeding depression (inbreeding load, L) increased with the stressfulness of the environment, with the magnitude of stress explaining as much as 66% of the variation in inbreeding depression. This relationship between L and developmental stress was not explainable by an increase in phenotypic variation in more stressful environments. To examine the generality of this experimental result, we conducted a meta-analysis of the available data from published studies looking at stress and inbreeding depression. The meta-analysis confirmed that the effect of the environment on inbreeding depression scales linearly with the magnitude of stress; a population suffers one additional lethal equivalent, on average, for each 33% reduction in fitness induced by the stressful environment.
Data from: Meta-analysis indicates that oxidative stress is both a constraint on and a cost of growth
Oxidative stress (OS) as a proximate mechanism for life-history trade-offs is widespread in the literature. One such resource allocation trade-off involves growth rate, and theory suggests that OS might act as both a constraint on and a cost of growth, yet studies investigating this have produced conflicting results. Here, we use meta-analysis to investigate whether increased OS levels impact on growth (OS as a constraint on growth) and whether greater growth rates can increase OS (OS as a cost of growth). The role of OS as a constraint on growth was supported by the meta-analysis. Greater OS, in terms of either increased damage or reduced levels of antioxidants, was associated with reduced growth although the effect depended on the experimental manipulation used. Our results also support an oxidative cost of growth, at least in terms of increased oxidative damage, although faster growth was not associated with a change in antioxidant levels. These findings that OS can act as a constraint on growth support theoretical links between OS and animal life histories and provide evidence for a growth–self-maintenance trade-off. Furthermore, the apparent oxidative costs of growth imply individuals cannot alter this trade-off when faced with enhanced growth. We offer a starting platform for future research and recommend the use of oxidative damage biomarkers in nonlethal tissue to investigate the growth–OS relationship further.
Data from: A global analysis of plant recovery performance from water stress
Plant post-drought recovery performance is essential to predict shifts in ecosystem dynamics and production during frequent climate change-driven drought events. Yet, it is not clear how post-drought recovery is related to evolutionary and geographic variations in plants. In this study, we generated a global data set of post-drought recovery performance in 140 plant species from published studies. We quantified the plant post-drought recovery performance by calculating a recovery index for multiple plant physiological and hydraulic parameters, including leaf water potential, net photosynthetic rate, leaf hydraulic conductance, and shoot biomass. The magnitude of recovery among four plant functional types (deciduous angiosperms, evergreen angiosperms, gymnosperms, and crops), two plant growth forms (shrubs and trees), two water management strategies (isohydric and anisohydric), four xylem porosity types (diffuse, ring, semi-ring, and tracheid), and four major biomes (dry sclerophyll forest, boreal forest, temperate forest, and tropical/subtropical forest) were compared. We found the inability to completely recover immediately after severe water stress is ubiquitous across all plant functional types and growth forms, while the rate and magnitude of post-drought recovery varied greatly across different plant taxonomic categories and geographic ranges. In general, plant hydraulic architecture, leaf anatomy and physiology affect plants' propensity towards recovery, and reflect evolutionary consequences of plant adaptation to their habitat. Due to the essential role of plant functional traits in regulating carbon storage in each biome, a better understanding plant post-drought recovery performance could improve our predictions on ecosystem productivity in a rapidly changing climate.
Data from: Environmental stress correlates with increases in both genetic and residual variances: a meta-analysis of animal studies
Adaptive evolutionary responses are determined by the strength of selection and the amount of genetic variation within traits, however, both are known to vary across environmental conditions. As selection is generally expected to be strongest under stressful conditions, understanding how the expression of genetic variation changes across stressful and benign environmental conditions is crucial for predicting the rate of adaptive change. While theory generally predicts increased genetic variation under stress, previous syntheses of the field has found limited support for this notion. These studies have focused on heritability, which is dependent on other environmentally sensitive, but non-genetic, sources of variation. Here, we aim to complement these studies with a meta-analysis where we examine changes in coefficient of variation (CV) in maternal, genetic, and residual variances across stressful and benign conditions. Confirming previous analyses, we did not find any clear direction in how heritability changes across stressful and benign conditions. However, when analyzing CV, we found higher genetic and residual variance under highly stressful conditions in life-history traits but not in morphological traits. Our findings are of broad significance to contemporary evolution suggesting that rapid evolutionary adaptive response may be mediated by increased evolutionary potential in stressed populations.
Data from: The interaction of fatigue cracks with a residual stress field using thermoelastic stress analysis and synchrotron x-ray diffraction experiments
This article presents an experimental study on the fatigue behaviour of cracks emanating from cold-expanded holes utilising thermoelastic stress analysis (TSA) and synchrotron x-ray diffraction (SXRD) techniques with the aim of resolving the long-standing ambiguity in the literature regarding potential relaxation, or modification, of beneficial compressive residual stresses as a result of fatigue crack propagation. The crack growth rates are found to be substantially lower as the crack tip moved through the residual stress zone induced by cold expansion. The TSA results demonstrated that the crack tip plastic zones were reduced in size by the presence of the residual compressive stresses induced by cold expansion. The crack tip plastic zones were found to be insignificant in size in comparison to the residual stress zone resulting from cold expansion, which implied that they were unlikely to have had a notable impact on the surrounding residual stresses induced by cold expansion. The residual stress distributions measured along the direction of crack growth, using SXRD, showed no signs of any significant stress relaxation or redistribution, which validates the conclusions drawn from the TSA data. Fractographic analysis qualitatively confirmed the influence on crack initiation of the residual stresses induced by the cold expansion. It was found that the application of single compressive overload caused a relaxation, or reduction in the residual stresses, which has wider implications for improving the fatigue life.
The relationships of spiritual health, pregnancy worries and stress and perceived social support with childbirth fear and experience: A path analysis
<p>data set</p>
A Global Meta-Analysis of Depression, Anxiety, and Stress Before and During COVID-19
<p>This is the dataset used for the following article:<br> <strong>A Global Meta-Analysis of Depression, Anxiety, and Stress Before and During<br> COVID-19</strong></p> <p>BY<br> <strong>Hojjat Daniali, Monica Martinussen, and Magne Arve Flaten</strong></p> <p><br> Objective: This meta-analysis compared negative emotions (NEs) as depression, anxiety, and stress, from<br> before the pandemic to during the pandemic. Method: A total of 59 studies (19 before, 37 during-pandemic,<br> and 3 that included both) using. The Depression, Anxiety and Stress Scale (DASS) were included. A random<br> effects model estimated the means of NEs before and during the pandemic. Results: Studies from 47 countries<br> involving 193,337 participants were included. Globally, NEs increased during the pandemic, and<br> depression had the largest elevation. In Asia, depression and stress were elevated, whereas in Europe,<br> only depression increased, and in America, no differences in NEs between before and during the pandemic<br> were observed. The later time phase of the pandemic was associated with lower stress globally, and lower<br> stress and anxiety in Europe. Being younger was associated with more stress globally, and being older was<br> associated with higher anxiety in Asia. Students had higher anxiety globally and higher NEs in all three<br> aspects in Europe compared to the general population. The COVID-19 infection rate was associated with<br> more stress globally, and stress and anxiety in Europe. During the pandemic, females reported higher levels<br> of depression, anxiety, and stress compared to males, most pronounced in Europe. Conclusion: NEs<br> increased during the pandemic, with younger and student populations, females and Asians having the highest<br> elevations.<br> <br> The first datset named ''Negative emotions total 2022-12-15'' includes the means and SDs for negative emotions for all included studies. </p> <p>The second dataset named '' Negative emotions males and females 2022-12-15'' includes means and SDs for negative emotions for males and females (standardized mean differences; Hedges' g).</p> <p> </p> <p> </p>
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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)
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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.