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11,837 results for “Stress;”
Analysis files for MSC Marc finite element software, Article: The analysis of shrink-fit connection – the methods of heating and the factors influencing the distribution of residual stresses
<p>This archive contains model files for Finite Element Analysis of the shrink-fit connection in crankshaft and the files for charts in GNUPlot.</p>
Data and code for "Clamp-tapering increases the quality factor of stressed nanobeams"
<p>Data presented (ringdown traces and Q factor calculations) with codes used to analyze the data and produce the figures for the results in "Clamp-tapering increases the quality factor of stressed nanobeams".</p>
Leaf responses to mild drought stress in natural variants of Arabidopsis.
<p>Plant growth and crop yield are negatively affected by a reduction in water availability. However, a clear understanding of how growth is regulated under non-lethal drought conditions is lacking. Recent advances in genomics, phenomics and transcriptomics allow in-depth analysis of natural variation. In this study, we conducted a detailed screening of leaf growth responses to mild drought in six <em>Arabidopsis thaliana</em> accessions. </p> <p>The raw phenotyping can be found in:<br> - cellularData.txt -> mature (22 days after stratification; DAS) leaf epidermis (third leaf) analysed for cell area, cell number, pavement cell area, pavement cell number, stomatal index and leaf area of the analysed leaf.</p> <p>- leaf3_maturity.txt -> area of the third leaf at maturity (22DAs) in mm<sup>2.</sup></p> <p>- leaf3_transition.txt -> area of the third leaf at transition (last day of cell proliferation; 11 DAS) in mm<sup>2</sup>.</p> <p>- rosetteArea.txt -> projected rosette area (mm<sup>2</sup>) over time (from 9-21DAS).</p> <p>The phenotyping results have been normalised for batch effects ('experiment' in raw data) and are found in cellularData_normalised.txt, leaf3_normalised.txt and rosetteArea_normalised.txt.</p> <p>Conversion from accession names (indiated as genotype in the data files) to the ID number used in the 1001genomes project (www.1001genomes.org) can be found in accessionIDs.txt.</p> <p>In each file 'C' indicates well-watered plants, while 'S' stand for mild-drought treatment.</p> <p>These results and methodological results are described in Clauw et al. (2015, Plant Physiology).</p> <p> </p> <p> </p>
Coastal Bridges under Hurricane Stresses along the Texas and Louisiana Coast
<p>Corresponding data set for Tran-SET Project No. 17STTSA02. Abstract of the final report is stated below for reference:</p> <p>"The main objective of this study was to develop a high-resolution model capable of simulating the response of bridge structures to hydrodynamic loads for hurricane design conditions (i.e. surge height, wave height, and frequency) expected in the Texas-Louisiana coast. The model relied on Coupled Eulerian-Lagrangian techniques (CEL) where solids are simulated with Lagrangian meshes, while fluids are simulated using Eulerian meshes, and was calibrated using historical data from wave impact laboratory tests. Two high resolution models were created, the first of a tsunami wave impact test conducted at Oregon State University and the second of a bridge located in the Gulf Coast that was heavily impacted by hurricane Katrina. The tsunami wave impact model showed that the CEL technique could provide accurate estimates of wave elevation, water velocity, and wall reaction recorded during the tests at Oregon State University. The bridge model was used to calculate bridge support demands for a representative combination of storm surge, wave velocity and wave length."</p>
X-ray computed tomography reveals that grain protrusion controls entrainment shear stress for entrainment of fluvial gravels: Dataset
<p>This is the dataset that accompanies a paper in Geology:</p> <p>Hodge RA, Voepel H, Leyland J, Sear DA, Ahmed S (2020). X-ray computed tomography reveals that grain protrusion controls entrainment shear stress for entrainment of fluvial gravels. Geology, 48(2), 149-153.</p> <p>The aim of this work was to understand how the properties of a sediment grain in a river bed affect the forces required to entrain that grain. This dataset presents the properties of 1055 sediment grains, which were meaured using CT scanning.</p>
Supplemental Material to Article "Development of thermal residual stresses during manufacture of wind turbine blades"
<p>This set supplements the figure data to the article "Development of thermal residual stresses during manufacture of wind turbine blades", DOI: .</p>
Stress-State Differences between Sedimentary Cover and Basement of the Songliao Basin, NE China: In-situ Stress Measurements at 6–7 km depth of an ICDP Scientific Drilling Borehole (SK-II)
<p>The excel file is the original ASR test data (Nine samples, 6293 - 6846 m vertical depth).</p>
Testing of different methods to induce lime stress responses in grapevine rootstocks - supplementary figures
<p>Defined experiments are necessary to clarify the response to nutrient deficiency. The study tested different options to induce lime stress in pot experiments to select the most appropriate method with grapevine roostocks.We tested soil substrates, an hydroponic culture and an inert sand substrate by adding KHCO3. Grapevine rootstocks Teleki 5C, Couderc 3309 and Fercal were used. The figures represent supplementary material of the obtained phenotype with the different rootstocks and testing conditions.</p>
Figure 1 in Short-time salinity fluctuations are strong activators of oxidative stress in Mediterranean mussel (Mytilus galloprovincialis)
Figure 1. Scheme illustrating the experimental design.
HPTLC Data of "Metal Ion Cofactors Modulate Integral Enzyme Activity By Varying Differential Membrane Curvature Stress"
<p>Lipid hydrolysis by the integral membrane protein OmpLA (outer membrane phospholipase). The enzymatic degradation of the proteoliposomes was determined by TLC. After lipid extraction against organic solvent (2:1 vol/vol chloroform/methanol) based on the Folch extraction method, the samples were spotted on a silica plate (Sigma-Aldrich, Steinheim, Germany) with the automatic TLC sampler 4 (CAMAG, Muttenz, Switzerland). The mobile phase in the developing chamber was a solvent mixture composed of 32.5:12.5:2 vol/vol/vol CHCl_3/MeOH/H_2O. After drying, the plate was immersed in a developing bath (5.08 g MnCl_2 dissolved in 480 ml H_2O, 480 ml EtOH and 32 ml H_2SO_4), which is sensitive to double bonds, and dried for 15 min at 120°C. To quantify the lipid concentrations the plate was scanned with the TLC scanner 3 (CAMAG, Muttenz, Switzerland) and further analyzed with WinCats software.</p> <p>Lipids:</p> <ul> <li>1-palmitoyl-2-oleoyl-<em>sn</em>-glycero-3-phosphocholine (POPC)</li> <li>1-palmitoyl-2-oleoyl-<em>sn</em>-glycero-3-phosphoethanolamine (POPE)</li> <li>1-palmitoyl-2-oleoyl-<em>sn</em>-glycero-3-phosphoglycerol (POPG)</li> </ul>
Bivariate GWA mapping reveals associations between aliphatic glucosinolates and plant responses to thrips and heat stress
<p>Supplemental data on bivariate GWA mapping of stress phenotypes and metabolomes of Arabidopsis.</p>
Figure 1 in Effects of nanoparticles treatments and salinity stress on the genetic structure and physiological characteristics of Lavandula angustifolia Mill.
Figure 1. The XRD pattern for the used Fe O nanoparticles.
Figure 2 in Effects of nanoparticles treatments and salinity stress on the genetic structure and physiological characteristics of Lavandula angustifolia Mill.
Figure 2. The XRD pattern for the used ZnO nanoparticles.
Chronic social defeat stress induces meningeal neutrophilia via type I interferon signaling: single cell RNA sequencing data
<p>Meningeal single cell RNA sequencing data</p> <p>Meningeal samples were collected from both dorsal and ventral skull, avoiding inclusion of choroid plexus. Samples were digested in 2.5 mg/mL Collagenase D (Cat. #11088858001; Roche) and 12.5 μL of 0.5 mg/mL DNAseI (Cat. #L5002139; Worthington), put on a shaker at 370C for 30 m, diluted with cold HBSS + 0.1% BSA, and mashed through a 70 μm cell strainer prior to sorting.</p> <p>Data represent live, nucleated, singlet cells (DAPI-DRAQ5+) sorted on a BD FACS Aria Fusion into HBSS + 10% FBS prior to droplet encapsulation using 10x Genomics’ Drop-seq platform (Chromium v2).</p> <p>10X chip lane is indicate by 'group' column</p> <p>Group 1 = 4 pooled homecage control (unstressed) mice</p> <p>Group 2 = 4 pooled homecage control (unstressed) mice</p> <p>Group 3 = 4 pooled mice exposed to chronic social defeat for 14 days; tissue was collected 2 hours following final defeat</p> <p>See the following repositories for data processing:</p> <p><a href="https://github.com/maryellenlynall/2019_bcell_stress/blob/master/bcellstress20.Rmd">https://github.com/maryellenlynall/2019_bcell_stress/</a> (processing from raw files starts at bcellstress020.Rmd)</p> <p><a href="https://github.com/staceykigar/meningeal_neut/">https://github.com/staceykigar/meningeal_neut/</a></p> <p>We also provide a processed dataset (processed.RData) with assays 'counts' and 'logcounts' which is the processed single cell object saved at line "# Save object for upload to Zenodo" in script <a href="https://github.com/staceykigar/meningeal_neut/">https://github.com/staceykigar/meningeal_neut/</a>neutrophilstress01.Rmd </p> <p>Cluster annotations are in sce$Annotation</p> <p>Neutrophil subcluster annotations are in sce$Subcluster</p> <p>Sample condition is in sce$cond, where "HC" indicates homecage control and "SD" indicates chronic social defeat</p> <p>10X chip lane is in sce$group</p>
Datasets and codes for 'Heat stress effects on offspring compound across parental care'
<p>This repository contains the datasets and code associated with the manuscript, 'Heat Stress Effects on Offspring Compound Across Parental Care.' For inquiries regarding this repository, please contact the corresponding author, Syuan-Jyun Sun (<a rel="noopener">sjs243@ntu.edu.tw</a>).</p>
Natural temperature variation at the origin site can determine coral resistance to thermal stress
<p>This repository contains data files and scripts used in the research paper titled <em>"Natural temperature variation at the origin site can determine coral resistance to thermal stress."</em> The provided materials support the analysis and results presented in the study.</p>
New insights into the driving mechanism of the mid-Eocene (43 Ma) tectonic transition in the western Pacific margin—A case study of stress field modeling in Pingbei
<p><span>This is the dataset for "</span> <span>New insights into the driving mechanism of the mid-Eocene (43 Ma) tectonic transition in the western Pacific margin—A case study of stress field modeling in Pingbei" including modeling parameters and raw results.</span></p>
Data for "Designing protein nano-construct in ionic liquid: a boost in efficacy of cytochrome C under stresses"
<p>The dataset provides the raw data for the figures reported in the manuscript entitled "Designing protein nano-construct in ionic liquid: a boost in efficacy of cytochrome C under stresses". Data are provided for silk nanofibrils and protein nano-construct characterization, activity assay of cytochrome c under various conditions, and stability study using CD spectroscopy in .xlsx and .opju format. </p>
Microscale heat stress observations in Ghent
<p>This dataset is part of the scientific paper: [Not yet published].</p> <p>The dataset contains observational data collected during a heat stress measurement campaign at the university campus Sterre in the urban fringe of Ghent during the summer of 2023.</p> <p>The campaign consists of a device-intercomparison measurement with all devices close to each other from 27 May to 1 June 2023 and the actual measurement campaign with the devices in various micro-environments during a heat wave from 9 June to 15 June 2023. The monitoring devices consist of weather stations (Campbell, HOBO, and VLINDER(02)) and consumer-grade portable devices (AT-HTS01, abbreviated with A and the corresponding device number).</p> <p>The measurement frequency varies from 2.5 s to 5 min, however, all data are aggregated to 15-minute averages. Basic quality control is conducted, during which inappropriate repetitive data and extreme outliers are removed. Gaps were introduced when the devices were known to malfunction, such as when they were covered for protection against rainfall, had fallen, or lacked electricity for active ventilation.</p> <p>An explanation of each parameter used in the datasets can be found below:</p> <ul> <li>datetime: The date and time in the format yyyy-mm-dd hh:mm:ss+02:00 (UTC+2, local time Belgian summer).</li> <li>Tap: Air temperature measured in a passively ventilated radiation shield (°C).</li> <li>Taa: Air temperature measured in an actively ventilated radiation shield (°C).</li> <li>Tg: Globe temperature (°C).</li> <li>RH: Relative humidity (%).</li> <li>V: Horizontal wind speed (m/s).</li> <li>SWR: Shortwave radiation (W/m2).</li> <li>P: Surface pressure (Pa).</li> <li>Tw_by_device: Wet bulb temperature given by the measurement device (°C).</li> <li>WBGT_by_device: Wet bulb globe temperature given by the measurement device (°C).</li> <li>x, y: Locationcoordinates (EPSG31370).</li> </ul>
Table 1 in Chronic stress from fishing gear entanglement is recorded in baleen from a bowhead whale (Balaena mysticetus)
<p><i>Table 1.</i> The mean (± SD), baseline (± SD), and maximum values for cortisol and corticosterone measured in baleen from a severely entangled bowhead whale (17B6) compared to healthy subadult (<i>n</i> = 3) and adult (<i>n</i> = 4) male bowhead whales. The mean and baseline values for 17B6 were calculated using data from the preentanglement period, and the values are identical because there were no outlier values (see Methods for details).</p><table><tbody><tr><th></th><th>Cortisol (ng/g)</th><th></th><th>Corticosterone (ng/g)</th></tr></tbody><tbody><tr><th></th><td>Mean</td><td>Baseline</td><td>Maximum</td><td>Mean</td><td>Baseline</td><td>Maximum</td></tr><tr><th>Entangled</th><td>0.15 ± 0.06</td><td>0.15 ± 0.06</td><td>3.23</td><td>0.53 ± 0.17</td><td>0.53 ± 0.17</td><td>1.14</td></tr><tr><th>Subadults</th><td>0.52 ± 0.24</td><td>0.49 ± 0.12</td><td>1.60</td><td>1.06 ± 0.57</td><td>1.02 ± 0.25</td><td>2.70</td></tr><tr><th>Adults</th><td>0.35 ± 0.09</td><td>0.32 ± 0.04</td><td>1.11</td><td>0.75 ± 0.22</td><td>0.74 ± 0.13</td><td>1.67</td></tr></tbody></table>
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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.