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320
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ShareScore release 0.9.0
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320 results for “drought response”
Stochastic processes and ecological connectivity drive stream invertebrate community responses to short-term drought
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Data from: Soil functional responses to drought under range-expanding and native plant communities
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Data from: Allele discovery of ten candidate drought-response genes in Austrian oak using a systematically informatics approach based on 454 amplicon sequencing
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Data from: Population responses to a historic drought across the range of the common monkeyflower (Mimulus guttatus)
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Data from: Two common, often coexisting grassland plant species differ in their evolutionary potential in response to experimental drought
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Turgor loss point predicts survival responses to experimental and natural drought in tropical tree seedlings
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Contrasting biomass allocation responses across ontogeny and stress gradients reveal plant adaptations to drought and cold
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Evolution in a rare plant in response to drought
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Lehmann lovegrass and black grama drought response in the Jornada Desert 2021
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Three eco-physiological strategies of response to drought maintain the form and function of a tropical montane grassland
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Temporal dynamics of range-expander and congeneric native plant responses during and after extreme drought events
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Transcriptional acclimation and spatial differentiation characterize drought response by the ectomycorrhizal fungus Suillus pungens
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Tree community composition stabilizes ecosystem functions in response to drought
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Data from: Soil nutrients influence growth response of temperate tree species to drought
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Tree growth response to drought partially explains regional-scale growth and mortality patterns in Iberian forests
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Data from: Short-term physiological plasticity: trade-off between drought and recovery responses in three Mediterranean Cistus species
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Physiological responses of rosewoods Dalbergia cochinchinensis and D. oliveri under drought and heat stresses
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The response of carbon assimilation and storage to long-term drought in tropical trees is dependent on light availability
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Interacting effects of invasion and soil microbes on Douglas-fir seedling response to drought
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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>
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.