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1,444 results for “Mitigation”
Weak evidence base for bee protective pesticide mitigation measures: Data Behind Systematic Review- Raw, Extracted and Tabulated
<p>An excel file with the raw exported data from Web of Science, the data extracted from it, and the summary statistics. </p> <p>Data associated with https://doi.org/10.1093/jee/toad118</p> <p>Edward A Straw, Dara A Stanley, Weak evidence base for bee protective pesticide mitigation measures, <em>Journal of Economic Entomology</em>, Volume 116, Issue 5, October 2023, Pages 1604–1612, <a href="https://doi.org/10.1093/jee/toad118">https://doi.org/10.1093/jee/toad118</a></p> <p> </p> <p>Straw and Stanley, 2023. </p> <p> </p> <p> </p>
Mitigating the Uncertainty and Imprecision of Log-Based Code Coverage Without Requiring Additional Logging Statements (Replication Package)
<p>Replication package for Mitigating the Uncertainty and Imprecision of Log-Based Code Coverage Without Requiring Additional Logging Statements</p>
Blockage, vandalism, and harassment activities for the cause of climate change mitigation: data deposit
<p>The paper describes a dataset of metadata of 89 blockage, vandalism, and harassment events happening in recent years. The dataset comprises three main categories: 1) Events, 2) Activists, and 3) Consequences. For researchers interested in environmental activism, climate change, and sustainability, the dataset is helpful in studying the effectiveness and appropriateness of strategies to raise public awareness and support. For researchers in the field of security studies and green criminology, the dataset offers resources to study features and impacts of blockage, vandalism, and harassment events. The Bayesian Mindsponge Framework (BMF) analytics was employed to validate the dataset. Consequently, the estimated result aligns with the Mindsponge Theory’s theoretical reasoning.</p>
H2020 Enodise: Experimental dataset of configuration B with mitigation TUD
Open the record for dataset details and reuse information.
Vertebrate grazing can mitigate impacts of nutrient addition on plant diversity and insect abundance in a semi-natural grassland
<p>Human-induced nutrient eutrophication is a major threat to grassland biodiversity, because it promotes the dominance of fast-growing plants. Negative impacts of fertilization on plant biodiversity may be offset by grazing by large vertebrate herbivores. However, whether grazers also mitigate impacts of nutrient addition on insects is less well understood. We use a field experiment to test how plant communities and abundances of pollinators and grasshoppers respond to nutrient addition and grazing by different assemblages of large herbivores, i.e., access by all herbivores (including cattle and horses), access by wild herbivores only (wild boar and deer), no access by large herbivores. Plant biomass increased, plant diversity decreased and community composition shifted towards lower forb cover in response to fertilization, but only in the absence of all herbivores. Flower visitation by Hymenoptera (bees and wasps), i.e., the most abundant pollinator group, was reduced by nutrient addition only in the absence of all herbivores and was positively related to flowering plant richness. In contrast, flower visitation by Diptera (e.g., hoverflies) was enhanced by fertilization, but not affected by grazing. Orthoptera (grasshopper) abundance was reduced by grazing and enhanced by nutrient addition, with positive impacts of fertilization tending to be stronger in plots with only wild or no herbivores. The abundance of grasshoppers was positively related to grass biomass. We conclude that vertebrate herbivores can offset impacts of fertilization on both plant and insect communities, making grazing by large mammals an essential tool to protect insects, particularly pollinators. Most responses to nutrient addition were only apparent in plots without any large herbivores, suggesting that wild herbivores alone could already mitigate nutrient impacts. We also show that insects with contrasting feeding guilds may be favoured by fertilized, ungrazed conditions. Therefore, creating a mosaic of patches grazed at different intensities will enhance overall insect biodiversity.</p>
Data for "The hydrogen economy can reduce costs of climate change mitigation by up to 22%"
<p>This dataset contains the underlying data for all figures in the main text and in the SI of Wolfram et al. "The hydrogen economy can reduce costs of climate change mitigation by up to 22%", published in One Earth (2024). </p>
Characterising Contributions that Coincide with Vulnerability Mitigation in NPM Libraries
Open the record for dataset details and reuse information.
Supplementary Material for "Architecture-Based Mitigation of Confidentiality Violations Utilizing Machine Learning"
<p>Supplementary material for the paper "Architecture-Based Mitigation of Confidentiality Violations Utilizing Machine Learning". For more information, please see the README.md</p>
Hysteresis and Irreversibility of Global Drought in Response to CO2 Mitigation Efforts
<p>Different drought indices, along with their associated hysteresis and irreversibility, are calculated using CESM2 outputs at a global 1-degree resolution.</p>
MOAT: Securely Mitigating Rowhammer with Per-Row Activation Counters
<p>MOAT is a Rowhammer Mitigation.</p> <p>The artifact relates to the performance and reliability evaluations as part of the ASPLOS-2025 paper</p>
Adaptation Mitigates the Negative Effect of Temperature Shocks on Household Consumption
<p><strong>Abstract: </strong></p> <p>Consumption plays an important role in economic growth but little is known about its response to weather extremes. This paper examines the effect of temperature shocks on consumption using high-frequency and fine-scale data from the world’s largest payment network. Our analysis shows that excess heat and cold have a direct and immediate negative effect on various consumption activities in the short run, leading to an inverted U-shaped relationship between temperature and consumption. Consumption sensitivity varies by climate regions: excess heat has the largest effect in cold regions but the smallest in hot regions. The long-run projections show that without adaptation, climate change would reduce aggregate consumption under both moderate and aggressive scenarios by the end of the century. However, no evidence of consumption reduction arises once adaptation is accounted for. The findings highlight the importance of incorporating the moderating role of adaptation in understanding consumption responses to climate change.</p> <p><strong>Data and Code</strong></p> <p>The credit and debit card transactions data that support the findings of this study are from UnionPay and are confidential. We cannot disclose the data to the public under our nondisclosure agreement. Interested researcher can contact UnionPay Advisors at 86-21-61005911, or <a href="mailto:yinlianzhice@unionpayadvisors.com">yinlianzhice@unionpayadvisors.com</a>.</p> <p>Air pollution and weather data for this analysis are from public sources (https://www.ecmwf.int/en/forecasts/datasets/reanalysisdatasets/era-interim and https://air.cnemc.cn:18014/). The data are also available from Zenodo (<a href="https://zenodo.org/">https://zenodo.org/</a>).</p> <p>The file “download.py” contains the codes which download the temperature data from European Centre for Medium-Range Weather Forecasts (ECMWF). The file "analysis.do" contains codes for producing Figure 1-Figure 6 and Extended Data Figure 3-Figure 6. STATA 16.0 or above is recommended in running the do-file.</p>
Mitigating RF Jamming Attacks at the Physical Layer with Machine Learning Dataset
<p>Data files were used in support of the research paper titled “<em>Mitigating RF Jamming Attacks at the Physical Layer with Machine Learning</em>" which has been submitted to the IET Communications journal.</p> <p>---------------------------------------------------------------------------------------------</p> <p>All data was collected using the SDR implementation shown here: https://github.com/mainland/dragonradio/tree/iet-paper. Particularly for antenna state selection, the files developed for this paper are located in 'dragonradio/scripts/:'</p> <ul> <li>'ModeSelect.py': class used to defined the antenna state selection algorithm</li> <li>'standalone-radio.py': SDR implementation for normal radio operation with reconfigurable antenna</li> <li>'standalone-radio-tuning.py': SDR implementation for hyperparameter tunning</li> <li>'standalone-radio-onmi.py': SDR implementation for omnidirectional mode only</li> </ul> <p>---------------------------------------------------------------------------------------------</p> <p>Authors: Marko Jacovic, Xaime Rivas Rey, Geoffrey Mainland, Kapil R. Dandekar<br> Contact: krd26@drexel.edu</p> <p>---------------------------------------------------------------------------------------------</p> <p>Top-level directories and content will be described below. Detailed descriptions of experiments performed are provided in the paper.</p> <p>---------------------------------------------------------------------------------------------</p> <p>classifier_training: files used for training classifiers that are integrated into SDR platform</p> <ul> <li>'logs-8-18' directory contains OTA SDR collected log files for each jammer type and under normal operation (including congested and weaklink states)</li> <li>'classTrain.py' is the main parser for training the classifiers</li> <li>'trainedClassifiers' contains the output classifiers generated by 'classTrain.py'</li> </ul> <p>post_processing_classifier: contains logs of online classifier outputs and processing script</p> <ul> <li>'class' directory contains .csv logs of each RTE and OTA experiment for each jamming and operation scenario</li> <li>'classProcess.py' parses the log files and provides classification report and confusion matrix for each multi-class and binary classifiers for each observed scenario - found in 'results->classifier_performance'</li> </ul> <p>post_processing_mgen: contains MGEN receiver logs and parser</p> <ul> <li>'configs' contains JSON files to be used with parser for each experiment</li> <li>'mgenLogs' contains MGEN receiver logs for each OTA and RTE experiment described. Within each experiment logs are separated by 'mit' for mitigation used, 'nj' for no jammer, and 'noMit' for no mitigation technique used. File names take the form *_cj_* for constant jammer, *_pj_* for periodic jammer, *_rj_* for reactive jammer, and *_nj_* for no jammer. Performance figures are found in 'results->mitigation_performance'</li> </ul> <p>ray_tracing_emulation: contains files related to Drexel area, Art Museum, and UAV Drexel area validation RTE studies.</p> <ul> <li>Directory contains detailed 'readme.txt' for understanding.</li> <li>Please note: the processing files and data logs present in 'validation' folder were developed by Wolfe et al. and should be cited as such, unless explicitly stated differently. <ul> <li>S. Wolfe, S. Begashaw, Y. Liu and K. R. Dandekar, "Adaptive Link Optimization for 802.11 UAV Uplink Using a Reconfigurable Antenna," MILCOM 2018 - 2018 IEEE Military Communications Conference (MILCOM), 2018, pp. 1-6, doi: 10.1109/MILCOM.2018.8599696.</li> </ul> </li> </ul> <p>results: contains results obtained from study</p> <ul> <li>'classifier_performance' contains .txt files summarizing binary and multi-class performance of online SDR system. Files obtained using 'post_processing_classifier.'</li> <li>'mitigation_performance' contains figures generated by 'post_processing_mgen.'</li> <li>'validation' contains RTE and OTA performance comparison obtained by 'ray_tracing_emulation->validation->matlab->outdoor_hover_plots.m'</li> </ul> <p>tuning_parameter_study: contains the OTA log files for antenna state selection hyperparameter study</p> <ul> <li>'dataCollect' contains a folder for each jammer considered in the study, and inside each folder there is a CSV file corresponding to a different configuration of the learning parameters of the reconfigurable antenna. The configuration selected was the one that performed the best across all these experiments and is described in the paper.</li> <li>'data_summary.txt'this file contains the summaries from all the CSV files for convenience.</li> </ul>
Understanding and Mitigating the Impact of Wi-Fi 6E Interference on Ultra-Wideband Communications and Ranging
<p>Artifacts containing data sets and scripts for the paper "Understanding and Mitigating the Impact of Wi-Fi 6E Interference on Ultra-Wideband Communications and Ranging" published at the <em>International Conference on Information Processing in Sensor Networks </em>(IPSN) 2022.</p>
Supplemental data for "Circular utilization of urban tree waste contributes to the mitigation of climate change and eutrophication"
<p>Supplemental data for "Circular utilization of urban tree waste contributes to the mitigation of climate change and eutrophication"</p>
Data for "Reactive nitrogen input and low rainfall mitigate soil respiration responses to warming"
<p>This dataset is used to make tables and figures for the paper entitled "Reactive nitrogen input and low rainfall mitigate soil respiration responses to warming" submitted to Ecology Letters in July 2022. It contains field monitoring data on soil respiration and ecosystem productivity and a meta-analysis database.</p>
yarlagadda_etal_2022_trade_mitigation Output Data
<p>GCAM output databases for the paper: Yarlagadda, B., T. Wild, X. Zhao, L. Clarke, R. Cui, Z. Khan, A. Birnbaum, and J. Lamontagne. "Trade and Climate Mitigation Interactions Create Agro-Economic Opportunities with Social and Environmental Trade-offs in Latin America and the Caribbean" (under review).</p>
Data in support of "Self-adaptive multi-objective climate policies align mitigation and adaptation strategies"
<p>The simulation model, the characterization of uncertainties, the calibration of the surrogate econometric damages model, and the simulation version of the FAIR climate model are available together with the optimization outputs and the scripts for replicating the figures of the paper.</p>
Sympatric soil biota mitigate a warmer-drier climate for Bouteloua gracilis
<p>Climate change is altering temperature and precipitation, resulting in widespread plant mortality and shifts in plant distributions. Plants growing in soil types with low water holding capacity may experience intensified effects of reduced water availability as a result of climate change. Furthermore, complex biotic interactions between plants and soil organisms may mitigate or exacerbate the effects of climate change. This three-year field experiment observed the performance of Bouteloua gracilis ecotypes that were transplanted across an environmental gradient with either sympatric soil from the seed source location or allopatric soil from the location that plants were transplanted into. We also inoculated plants with either sympatric or allopatric soil biotic communities to test: 1) how changes in climate alone influence plant growth, 2) how soil types interact with climate to influence plant growth, and 3) the role of soil biota in mitigating plant migration to novel environments. As expected, plants moved to cooler-wetter sites exhibited enhanced growth; however, plants moved to warmer-drier sites responded variably depending on the provenance of their soil and inoculum. Soil and inoculum provenance had little influence on the performance of plants moved to cooler-wetter sites, but at warmer-drier sites they were important predictors of plant biomass, seed set and specific leaf area. Specifically, transplants inoculated with their sympatric soil biota and grown in their sympatric soil were as large or larger than reference plants grown at the seed source locations, however, individuals inoculated with allopatric soil biota were smaller than reference site individuals at warmer, drier sites. These findings demonstrate complicated plant responses to various aspects of environmental novelty where communities of soil organisms may help ameliorate stress. The belowground microbiome of plants should be considered to more accurately predict the responses of vegetation to climate change.</p>
Replication Package for "Timing Side Channel Mitigation via Automated Program Repair"
<p><strong>Pendulum: Timing Side Channel Mitigation via Automated Program Repair</strong></p> <p>This is the replication artifact for the paper "Timing Side Channel Mitigation via Automated Program Repair". It includes:</p> <ul> <li>a <strong>Docker</strong> file for easy setup and execution of Pendulum,</li> <li>the <strong>setup</strong> instructions,</li> <li>the instructions for a <strong>quick trial</strong> of the setup,</li> <li>the <strong>workflow</strong> description incl. how to <strong>apply</strong> Pendulum to other programs, and</li> <li>detailed instructions about how to <strong>replicate our experiments</strong>.</li> </ul> <p>Please read our README for more information and explanations.</p>
In vivo reduction of age-dependent neuromelanin accumulation mitigates features of Parkinson's disease
<p>Supplementary datasets (Supplementary tables 1 to 10)</p>
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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)
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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.