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608 results for “Heat stress”
Biological and physiological responses of Bradysia odoriphaga 4th instar larvae to long-term constant and fluctuating mild heat stress
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Data from: Adaptation to heat stress reduces phenotypic and transcriptional plasticity in a marine copepod
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Data from: Phylogenomic analyses reveal latitudinal population structure and polymorphisms in heat stress genes in the North Atlantic snail Nucella lapillus
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Data from: Heritable variation in heat shock gene expression: a potential mechanism for adaptation to thermal stress in embryos of sea turtles
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The tepary bean genome provides insight into evolution and domestication under heat stress
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Data from: Neural dysfunction correlates with heat coma and CTmax in Drosophila but does not set the boundaries for heat stress survival
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Data from: Loggerhead sea turtle embryos (Caretta caretta) regulate expression of stress-response and developmental genes when exposed to a biologically realistic heat stress
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Dataset - A complex network of additive and epistatic quantitative trait loci underlies natural variation of Arabidopsis thaliana quantitative disease resistance to Ralstonia solanacearum under heat stress
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Thermal tolerance plasticity and dynamics of thermal tolerance in Eublepharis macularius: Implications for future climate-driven heat stress
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Data from: Heat stress affects facultative symbiont-mediated protection from a parasitoid wasp
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Data from: Plastic and evolutionary responses to heat stress in a temperate dung fly: negative correlation between basal and induced heat tolerance?
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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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Physiological responses of rosewoods Dalbergia cochinchinensis and D. oliveri under drought and heat stresses
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Warming in the land of the midnight sun: breeding birds may suffer greater heat stress at high- vs low-Arctic sites
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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>
The cis-regulatory codes of response to combined heat and drought stress in Arabidopsis thaliana
<p>Datasets used to train and test random forest and convolutional neural networks to predict transcriptional response patterns to single and combined heat and drought stress in Arabidopsis. Rows correspond to genes. The first column denotes the class with 1 indicating response group and 0 indicating non-responsive group (e.g. "NNU_merged_df.txt": 1 = NNU, 0 = NNN). The remaining columns are the pCRE and pCRE-omic overlap features, where "1" denotes the pCRE is present in the promoter region of that gene (or present and overlaping with the omic-feature) and "0" denotes the pCRE is not present (or present but not overlapping with the omic-feature). Feature names indicate the pCRE and omic-feature: "pCRE_OmicFeature" </p> <p><strong>For more information on how these datasets were generated and code used to implement and interpret the machine learning models see the manuscript and associated GitHub repository.</strong></p> <p>GitHub: <a href="https://github.com/ShiuLab/Manuscript_Code/tree/master/2019_CRC_HeatDrought">https://github.com/ShiuLab/Manuscript_Code/tree/master/2019_CRC_HeatDrought</a></p> <p>Abstract: Plants respond to their environment by dynamically modulating gene expression. A powerful approach for understanding how these responses are regulated is to integrate information about <em>cis-</em>regulatory elements (CREs) into models called <em>cis-</em>regulatory codes. Transcriptional response to combined stress is typically not the sum of the responses to the individual stresses. However, <em>cis-</em>regulatory codes underlying combined stress response have not been established. Here we modeled transcriptional response to single and combined heat and drought stress in <em>Arabidopsis thaliana.</em> We grouped genes by their pattern of response (independent, antagonistic, synergistic) and trained machine learning models to predict their response using putative CREs (pCREs) as features (median F-measure = 0.64). We then developed a deep learning approach to integrate additional omics information (sequence conservation, chromatin accessibility, histone modification) into our models, improving performance by 6.2%. While pCREs important for predicting independent and antagonistic responses tended to resemble binding motifs of transcription factors associated with heat and/or drought stress, important synergistic pCREs resembled binding motifs of transcription factors not known to be associated with stress. These findings demonstrate how <em>in silico</em> approaches can improve our understanding of the complex codes regulating response to combined stress and help us identify prime targets for future characterization.</p>
Moist heat stress extremes in India enhanced by irrigation
<p>The dataset contains the WRF simulations conducted for 2000-2018 period for irrigation-on and off scenarios.</p> <p>All the data are available in the daily timestep. The extension with irrigation-on and irrigation-off represent two different simulations.</p> <p>All variable details;<br> SLP- Sea Level Pressure<br> SKINTEMP- Land Surface Temperature<br> T2- Air Temperature<br> LHF - Latent Heat Flux<br> SHF - Sensible Heat Flux<br> LHFSHF - Latent Heat Flux + Sensible Heat Flux<br> SH - Specific Humidity <br> PBLH - Planetary Boundary Layer Height<br> vq_Integrated uq_Integrated - u and v Component of Vertically Integrated Moisture<br> WBA - Wet Bulb Temperature<br> HIA - Heat Index</p> <p>Please contact for questions to vmishra@iitgn.ac.in</p> <p> </p>
C. rufifacies heat stress data
<p>The increased severity and frequency of elevated temperatures due to climate change is changing species distributions and driving thermal selection for several species, but many potential effects are still unknown. Here, we investigated the effects of an acute thermal stress on the oviposition performance of the hairy maggot blow fly <i>Chrysomya rufifacies </i>(Macquart), an introduced species of ecological, economic, and forensic importance. Adult virgins were exposed to 25°C, 42°C, or 44°C for 1-h, and then maintained at ~25°C in mixed-sex colonies for 14-d. Pre-breeding heat exposure had no effect on male or female reproductive success, except for females exposed to 44°C. Females exposure to 44°C before breeding oviposited sooner (2.5 ± 0.0 days), more frequently (0.52 ± 0.4), and produced a greater total egg mass (1.18 ± 0.25 g) than any other treatment group. Thus, a brief exposure to non-lethal elevated temperatures may affect the timing and intensity of insect oviposition, potentially affecting ecological processes and related applications.</p>
Data from: A positive genetic correlation between hypoxia tolerance and heat tolerance supports a controversial theory of heat stress
We used quantitative genetics to test a controversial theory of heat stress, in which animals overheat when the demand for oxygen exceeds the supply. This theory, referred to as oxygen- and capacity-limited thermal tolerance, predicts a positive genetic correlation between hypoxia tolerance and heat tolerance. We demonstrate the first genetic correlation of this kind in a model organism, Drosophila melanogaster. Genotypes more likely to fly under hypoxic stress (12% O2) were also more likely to fly under heat stress (39°C). This finding prompts new questions about mechanisms and limits of adaptation to heat stress.
Limitations of plant stress tolerance upon heat and CO2 exposure in black ploplar: Assessment of photosynthetic traits and stress volatile emissions
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.