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1,444 results for “Mitigation”
Inhibition of Intimal CX3CR1+ Macrophages Mitigates Thoracic Aortic Aneurysm Progression in Marfan Syndrome
GEO Series GSE249352. Mus musculus. 2 samples. Type: Expression profiling by high throughput sequencing.
Plots/data/code for "Irreversible perturbations to the global methane cycle even under strong mitigation action" manuscript
<p>This accession contains all plots, data and scripts that were used to produce the manuscript. The study has been conducted with the fully coupled methane emissions driven configuration of UKESM1.0 using model generated interactive emission (where available) and prescribed emissions from ancillary files that were prepared for Phase 6 of the Coupled Model Intercomparison Project (CMIP6, Eyring, V., et al., Geosci. Model Dev., 9, 1937–1958, 2016, https://doi.org/10.5194/gmd-9-1937-2016).</p>
Model code and data for "Mitigation of the double ITCZ syndrome in BCC-CSM2-MR through improving parameterizations of boundary-layer turbulence and shallow convection" by Lu et al., submitted to Geoscientific Model Development, https://doi.org/10.5194/gmd-2020-40, in review, 2020.
<p>Description of the files:</p> <p>“BCC_CSM2_MR.code.tar” contains the codes and run scripts for the medium-resolution Beijing Climate Center Climate System Model version 2 (BCC-CSM2-MR). Detailed description of the model refers to the paper “The Beijing Climate Center Climate System Model (BCC-CSM): the main progress from CMIP5 to CMIP6” by Wu et al., Geosci. Model Dev., 12, 1573–1600, https://doi.org/10.5194/gmd-12-1573-2019, 2019.</p> <p>“BCC_CSM2_MR.inputdata.tar” contains the input data needed to run the model.</p> <p>“REF_amip.rar” contains the output data from the REF_amip experiment.</p> <p>“NEW_amip.rar” contains the output data from the NEW_amip experiment.</p> <p>“REF_cmip.rar” contains the output data from the REF_cmip experiment.</p> <p>“NEW_cmip.rar” contains the output data from the NEW_cmip experiment.</p> <p>“UWMT_amip.rar” contains the output data from the UWMT_amip experiment.</p> <p>“mHack_amip.rar” contains the output data from the mHack_amip experiment.</p>
Instrumental background music mitigates self-control fatigue and improves performance in prolonged mental work (Dataset)
<p>This repository contains the raw data used for a research study titled "Instrumental Background Music Facilitates Task Endurance and Cognitive Performance: Insights from Ego Depletion". This repository contains two Microsoft Excel files, as follows:</p> <ul> <li><em>ed_music_feature_analysis.csv</em></li> <li><em>ed_raw_data.xlsx</em></li> <li><em>ed_appendices [Anonymous].pdf</em></li> </ul> <p><strong>Files Description</strong></p> <p><em><strong>File: ed_music_feature_analysis.csv</strong></em></p> <p>This file contains the specific feature analysis for each music stimulus (N = 17) used in the experiment. These features (retrieved from Spotify's "Get Track's Audio Features" API) are:</p> <ul> <li>energy level</li> <li>valence</li> <li>tempo</li> </ul> <p>The Spotify ID of each music track is also recorded in this file, to facilitate future replication of the experiment.</p> <p><em><strong>File: ed_raw_data.xlsx</strong></em></p> <p>This file contains the raw data from the experiment (N = 41). There are two tabs in this file. The "data" tab records all raw data, whilst the "index" tab contains all the abbreviations (with their explanations) used in the document, and when relevant, a brief description of how the outcome measures were calculated.</p> <p>In the "data" tab, each row corresponds to a single participant and each column to a single variable. The variables about sample characteristics include:</p> <ul> <li>Age</li> <li>Self-identified gender</li> <li>Area of study</li> <li>Level of English proficiency</li> <li>Whether the participant has specific neurodiversity</li> <li>Personality traits</li> <li>Musicianship</li> <li>Self-reported everyday music listening habits</li> <li>Self-reported perceived (positive and negative) impact of music listening while studying</li> </ul> <p>The variables about experimental conditions and outcomes measures include:</p> <ul> <li>Each participant's assigned experimental condition (music or control)</li> <li>Reading comprehension performance (measured in terms of the number of questions answered and a final score)</li> <li>Pre- and post-reading positive affect, negative affect, and motivation for cognition</li> <li>(for the music condition) personal perception of the music they heard during the experiment</li> <li>Level of ego depletion (measured based on Stroop interference)</li> <li>Verbal working memory (measured based on Reading Span Task performance)</li> <li>Divided attention capacity (measured based on Category Switch Task performance)</li> </ul> <p><em>Notes.</em></p> <p><em>1. Empty cells in between data are missing data (due to participant absentees).</em></p> <p><em>2. See the "index" tab in <strong>ed_raw_data.xlsx </strong>for </em>a <em>detailed presentation and explanation of each recorded data.</em></p> <p><strong><em>File: </em><em>ed_appendices [Anonymous].pdf</em></strong></p> <p>This file contains the four appendices mentioned in the main article.</p>
Environmental and economic sustainability of crack mitigation in reinforced concrete with SuperAbsorbent polymers (SAPs)
Open the record for dataset details and reuse information.
MRI raw data to publication: Fuzzy ripple artifact in high resolution fMRI: identification, cause, and mitigation.
<p>These Data are refering to the maunscript "Fuzzy ripple artifact in high resolution fMRI: identification, cause, and mitigation" authored by </p> <p>Renzo Huber1, Rüdiger Stirnberg2, A Tyler Morgan1, David A Feinberg3,4-5, Samantha J Ma6, Philipp Ehses3, Omer Faruk Gulban2,7, Kenshu Koiso2, Isabel Gephart1, Stephanie Swegle1, Susan Wardle1, Emily Ma2, Andrew Persichetti1, Alexander JS Beckett4-5, Tony Stöcker3, Nicolas Boulant8, Benedikt A Poser2, Peter Bandettini1</p> <p><strong> </strong></p> <p>1 NIMH, NIH, Bethesda, United States,</p> <p>2 German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany,</p> <p>3 Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, United States, </p> <p>4 Advanced MRI Technologies, Sebastopol, CA, United States,</p> <p>5 CN, FPN, University of Maastricht, The Netherlands,</p> <p>6 Siemens Medical Solutions USA, Inc., Berkeley, CA, USA,</p> <p>7 Brain Innovation, Maastricht, The Netherlands,</p> <p>8 CEA, NeuroSpin, University Paris Saclay, France.</p> <p> </p> <h1>Abstract</h1> <p><strong>Purpose:</strong> High resolution fMRI is an emerging research field focused on capturing functional signal changes across cortical layers. However, the data acquisition is limited by low spatial frequency EPI artifacts; termed as Fuzzy Ripples. These artifacts limit the practical applicability of acquisition protocols with higher spatial resolution, faster acquisition speed, and they challenge imaging in lower brain areas. </p> <p><strong>Methods: </strong>We characterize Fuzzy Ripple artifacts across commonly used sequences and distinguish them from conventional EPI Nyquist ghosts, off-resonance effects, and GRAPPA artifacts. To investigate their origin, we employ dual polarity readouts.</p> <p><strong>Results: </strong>Our findings indicate that Fuzzy Ripples are primarily caused by kx-specific imperfections in gradient trajectories, which can be exacerbated by inductive coupling between third-order shims and readout gradients. We also find that these artifacts can be mitigated through complex-valued averaging of dual polarity EPI or by disconnecting the third-order shim.</p> <p><strong>Conclusion:</strong> The proposed mitigation strategies allow for overcoming current limitations in layer-fMRI protocols: </p> <p>(1) Achieving resolutions beyond 0.8mm is feasible, and even at 3T, we achieved 0.53mm voxel functional connectivity mapping. </p> <p>(2) Temporal acquisition speed can be increased to GRAPPA 8. </p> <p>(3) Sub-millimeter fMRI is achievable in lower brain areas, including the cerebellum.</p> <p> </p>
Data from: Stand Diversity does not Mitigate Increased Herbivory on Climate-Matched Oaks in an Assisted Migration Experiment
<p>Assisted migration is a tree planting method where tree species or populations are translocated with the aim of establishing more climate-resilient forests. However, this might potentially increase susceptibility of translocated trees to herbivory. Stand diversification through planting trees in species or genotypic mixtures may reduce the amount of damage by insect pests, but its effectiveness in mitigation of excess herbivory on climate-matched trees has seldom been explored.</p>
Mitigation of triplet loss in 2D WSe2/non-fullerene heterostructures using halogenated acceptors
<p>This includes the ultrafast transient absorption data of the main draft and the supporting information</p>
Dataset for McClelland et al. "Crop-yield tradeoffs reduce the climate change mitigation potential of soil"
<p>The zip file in this record contains the post-processed model data for recreating analyses and figures from the manuscript "Crop-yield tradeoffs reduce the climate change mitigation potential of soil." The associated R scripts can be found at a separate Zenodo record, 10.5281/zenodo.13327482.</p>
Demonstration of Digital Twin-Enabled Collision Mitigation for Path Constrained Applications
<p>This video presents a depiction of each robot and their surrounding environment in <em>RViz</em>, along with a video recording of both robots. It also features a monitor of the output from the <em>Collision Zones FMU</em>.</p>
H2020 ENODISE: VKI Experimental dataset of configuration C with mitigation
Open the record for dataset details and reuse information.
A Survey of Agencies on Mitigating Extreme Heat Exposure through Novel Materials and Improved Pedestrian Infrastructure Design
<p><span>This is the dataset of the National Center of Sustainable Transportation (NCST) project titled <em>A Survey of Agencies on Mitigating Extreme Heat Exposure through Novel Materials and Improved Pedestrian Infrastructure Design</em>.</span></p> <p> </p> <p><span>The abstract of the project is as follows:</span></p> <p><span>Extreme heat is the leading cause of weather-related mortality in the United States, and extreme heat events are projected to continue increase in geographic extent, frequency, and severity in the United States as climate change progresses.<span> </span>Transportation infrastructure is a significant driver of the urban heat island (UHI) effects and of extreme heat events within micro-environments.<span> </span>Efforts to mitigate UHI impacts often focus on reflecting incoming solar radiation (i.e., increasing surface albedo) and providing shade (e.g., planting street trees).<span> </span>However, alterative and novel materials (ANM) for pavements that reduce heat storage, and green stormwater infrastructure (GSI) that promotes evaporative cooling, can provide additional heat mitigation pathways.<span> </span>Sidewalks facilitate non-motorized transportation, and are relatively low-risk, low-cost, and have simple structural requirements compared to other transportation infrastructure.<span> </span>Hence, sidewalks and adjacent planting strips can offer a logical test bed for new materials and designs.<span> </span>With the thermal comfort, safety, and efficiency of users in mind, environmentally responsible designs can also minimize energy embedded in construction materials and help maintain natural ecosystem processes.<span> </span>Although ANMs hold significant promise for heat effect mitigation, they have not yet achieved widespread implementation.<span> </span>This project reviewed the growing literature related to the application of ANMs and GSI to reduce UHI effects and implemented a survey of urban planners and public works engineers to assess the current and planned use of these strategies.<span> </span>The survey also asked respondents to identify barriers to implementing heat mitigation strategies within their pedestrian infrastructure systems.<span> </span>This report summarizes the survey methods, survey results, findings related to selection of mitigation alternatives, and respondent-reported issues associated with implementation (regulatory requirements, design standards, economic feasibility, etc.) for an anticipated reading audience of urban policy makers, planners, and practitioners.</span></p>
Results from Banning new gas boilers as a no-regret mitigation option
<p>The dataset includes the description of each scenario, and the corresponding results (including total costs, energy system description, building system description).</p>
Input and result datasets related to "Mannhardt et al. (2022): Overcoming the energy crisis in Europe: Collaborative and selfish mitigation strategies of the gas shortage" (submitted)
<p>Datasets and raw results for the submitted article:</p> <p>"Overcoming the energy crisis in Europe: Collaborative and selfish mitigation strategies of the gas shortage" </p> <p>by Jacob Mannhardt, Paolo Gabrielli, Giovanni Sansavini (sansavig@ethz.ch)<br> Reliability and Risk Engineering Lab, Institute of Energy and Process Engineering, ETH Zurich</p> <p>All rights lie with the authors. Refer to the README.txt for a description of the datasets and their usage in the article.</p>
Input data for the paper "Assessing the viability of CO2 storage in offshore formations of the Gulf of Mexico at a scale relevant for climate-change mitigation"
<p>This repository contains the input data necessary to reproduce the modeling results shown in the paper "Assessing the viability of CO2 storage in offshore formations of the Gulf of Mexico at a scale relevant for climate-change mitigation", published at the International Journal of Greenhouse Gas Control journal in May 2023.</p>
All raw data for "Tributary mitigates river discontinuity by dam depending on the distance from dam to the tributary confluence"
<p>All raw data for "Tributary mitigates river discontinuity by dam depending on the distance from dam to the tributary confluence". The units of the variables were shown in the paper. "quadrate" means the number of each quadrate site in each study reach for measuring the variables.</p>
Dependency Practices for Vulnerability Mitigation
<p>This is the replication package for our paper on dependency practices for mitigating vulnerabilities.</p> <p>Here is a short description of what is contained in this package:</p> <p><strong>Vul. Extraction</strong></p> <p>The code to extract vulnerability info from the npm advisories in json format.</p> <p><strong>Data</strong></p> <p>The preliminary datasets curated for the project. The raw data can be extracted from libraries.io and the npm advisories on github.com.</p> <p><strong>Model Code</strong></p> <p>The code for feature extraction, feature preprocessing and model training.</p> <p><strong>Visualization Scripts</strong></p> <p>The visualizer.py file includes the visualization scripts used for the paper.</p> <p><strong>Analysis Code</strong></p> <p>The analysis code used for findings of RQ1.</p> <p><strong>Survey Responses</strong></p> <p>The raw anonymized survey responses for RQ3.</p>
Bisphosphonate Use to Mitigate Bone Loss Secondary to Bariatric Surgery
ClinicalTrials.gov study NCT04922333. IPD Sharing: NO. Countries: 1. Publications: 0.
Development and Validation of MPF to Prevent and Mitigate Postural Hyperkyphosis in Postmenopausal Women
ClinicalTrials.gov study NCT07068360. IPD Sharing: NO. Countries: 1. Publications: 0.
Monitoring & Mitigation of Neurologic Injuries to Optimize Resilience After Repetitive Head Impacts
ClinicalTrials.gov study NCT06810193. IPD Sharing: NO. Countries: 1. Publications: 0.
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.