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1,444 results for “Mitigation”
Custom codes related to the publication "Mitigating transcription-replication conflicts: In early Drosophila embryos, rapid onset of transcription after mitosis depends on DNA replication"
<p>This dataset includes the custom codes related to the publication: Mitigating transcription-replication conflicts: In early Drosophila embryos, rapid onset of transcription after mitosis depends on DNA replication, Cell Reports 2022.</p> <p>The raw imaging data can be found at https://doi.org/10.5281/zenodo.7102432</p>
Supplementary material 1 from: Marić A, Špelić I, Radočaj T, Vidović Z, Kanjuh T, Vilizzi L, Piria M, Nikolić V, Škraba Jurlina D, Mrdak D, Simonović P (2022) Changing climate may mitigate the invasiveness risk of non-native salmonids in the Danube and Adriatic basins of the Balkan Peninsula (south-eastern Europe). In: Giannetto D, Piria M, Tarkan AS, Zięba G (Eds) Recent advancements in the risk screening of freshwater and terrestrial non-native species. NeoBiota 76: 135-161. https://doi.org/10.3897/neobiota.76.82964
Combined AS-ISK report including the 68 screenings for the 17 salmonid species screened for the Danube and Adriatic basins of Bosnia and Herzegovina, Croatia, Montenegro and Serbia (including Kosovo)
Supplementary material 1 from: Brundu G, Richardson DM (2016) Planted forests and invasive alien trees in Europe: A Code for managing existing and future plantings to mitigate the risk of negative impacts from invasions. In: Daehler CC, van Kleunen M, Pyšek P, Richardson DM (Eds) Proceedings of 13th International EMAPi conference, Waikoloa, Hawaii. NeoBiota 30: 5–47. https://doi.org/10.3897/neobiota.30.7015
Supplementary tables : Explanation note: Table 1. Examples of specific plantation practices aimed at reducing problems with invasive alien tree species. Some of these rules can be considered of general utility, whereas others refer to specific alien tree species and aim to mitigate specific impacts. Table 2. The fifty alien trees most frequently listed (with different rankings) in European countries
Replication package for: Does Pricing Carbon Mitigate Climate Change? Firm-Level Evidence from the European Union Emissions Trading System
<p>This package contains three folders: the Code folder, Results (or output) folder and the data folder. It also contains a document README.pdf . </p> <p>Part of the codes can be run with the data provided in the data folder, and have _outofbox in their name. Others can only run with confidential data - all details are provided in the README.pdf file.</p> <p>These are for the paper:</p> <p>Colmer, J., R. Martin, M. Muûls, and U.J. Wagner. Does Pricing Carbon Mitigate Climate Change? Firm-Level Evidence from the European Union Emissions Trading System</p>
Plant diversity mitigate carbon emissions
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Identification of Three-Dimensional Landslide Movement Based on GNSS Measurement and Geological Properties to Improve Disaster Mitigation Response
<p>This material has presented on 2nd International Conference on Advanced Research in Engineering and Technology in October 25, 2023.</p>
Hysteresis and Irreversibility of Global Dryness in Response to CO2 Mitigation Efforts
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Data_Biscéréetal_Coral bleaching mitigation by manganese
<p>Dataset of the experiment on the manganese and iron effects on the coral physiology during a thermal stress</p>
Data used in "Fire Weather Compromises Forestation-reliant Climate Mitigation Pathways" (Jaeger et al. 2024a)
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The Unreasonable Ineffectiveness of Nucleus Sampling on Mitigating Text Memorization
<p>We present <strong>OpenMemText</strong> a diagnostic dataset with a known distribution of duplicates that gives us some control over the likelihood of memorization of certain parts of the training data. Given this diagnostic dataset, we analyse the text memorization behavior of large language models (LLMs) when subjected to nucleus sampling.</p> <p>Stochastic decoding methods like nucleus sampling are typically applied to overcome issues such as monotonous and repetitive text generation, which are often observed with maximization-based decoding techniques. We hypothesize that nucleus sampling might also reduce the occurrence of memorization patterns, because it could lead to the selection of tokens outside the memorized sequence.</p> <p>See https://github.com/lukaborec/memorization-nucleus-sampling for more information.</p>
Supplementary dataset for the paper "A time window averaging method to mitigate the impact of shell growth trends on Tridacna d18O records".
<p>Data and code for the paper "A time window averaging method to mitigate the impact of shell growth trends on Tridacna δ18O records". We have included an example in the pseudo-Tridacna package v2.1 to demonstrate how users can generate pseudo-Tridacna series.</p>
Data for "Mitigation strategies can alleviate power system vulnerability to climate change and extreme weather: A case study on the Italian grid"
<p>Data employed for the paper "Mitigation strategies can alleviate power system vulnerability to climate change and extreme weather: A case study on the Italian grid"<br><br>Abstract<br>This study explores compounding impacts of climate change on power system's load and generation, emphasising the need to integrate adaptation and mitigation strategies into investment planning. We combine existing and novel empirical evidence to model impacts on: i) air-conditioning demand; ii) thermal power outages; iii) hydro-power generation shortages. Using a power dispatch and capacity expansion model, we analyse the Italian power system's response to these climate impacts in 2030, integrating mitigation targets and optimising for cost-efficiency at an hourly resolution. We outline different meteorological scenarios to explore the impacts of both average climatic changes and the intensification of extreme weather events. We find that addressing extreme weather in power system planning will require an extra 5-8 GW of photovoltaic (PV) capacity, on top of the 50 GW of the additional solar PV capacity required by the mitigation target alone. Despite the higher initial investments, we find that the adoption of renewable technologies, especially PV, alleviates the power system's vulnerability to climate change and extreme weather events. In fact, renewable energy sources are generally less vulnerable to the impacts of climate change, such as rising temperatures and shifting precipitation patterns, compared to thermal power and hydropower generation. Furthermore, enhancing short-term storage with lithium-ion batteries is crucial to counterbalance the reduced availability of dispatchable hydro generation.</p>
Strategies to mitigate differences between environments using Rapid Review on Grey Literature
<p>The comparison spreadsheet serves as a comprehensive repository for organizing and synthesizing data extracted from Grey Literature sources. It contains coded information related to strategies for mitigating configuration differences in software development, allowing for a systematic analysis of the identified practices. The spreadsheet links to different sections of the paper by providing a structured framework for data analysis. In the 'Data synthesis' section, the spreadsheet supports a mixed-method approach, combining qualitative and quantitative methods for analyzing the data. It aids in thematic analysis by translating codes into themes and creating higher-order themes for a more in-depth understanding of the collected data. Additionally, the spreadsheet connects to the 'Extract and Code data' section, where it houses all relevant codes and facilitates discussions on pertinent information extracted from Grey Literature sources. By referencing unique identifiers within the spreadsheet, researchers can track and link specific entries to the research questions, ensuring alignment with the study's objectives. Overall, the comparison spreadsheet plays a pivotal role in organizing, analyzing, and synthesizing data from Grey Literature sources, contributing to the robustness and coherence of the research findings presented in the paper.</p>
Reproduction Package: Using machine learning techniques to mitigate confidentiality violations
<p>Reproduction package for the masters thesis "Using machine learning techniques to mitigate confidentiality violations"</p>
Mitigating Sn Loss via Anion Substitution in the Cu2+-Sn2+ precursor system for Cu2ZnSn(S, Se)4 solar cells
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Replication package for: "Mitigating Consequences of Prestige in Citations of Publications"
<p>This package contains replication files for "Mitigating Consequences of Prestige in Citations of Publications". The package is composed of the data sets concerned with the citations of publication in the field of biomedicine. Furthermore, code written in the programming language R is additionally provided for the reproducibility of all results presented in the paper. Instructions for the starting points for replication of all results are provided in the README file.</p>
Data from: Plasticity in leaf litter traits partly mitigates the impact of thinning on forest floor carbon cycling
1. Reducing stand density by thinning intensification has been emphasized as an efficient strategy of forest adaptation to climate change as it improves stand resistance to drought. Yet, it is still unclear how it could affect litter C cycling processes. Recent evidence indicates that the plasticity of an oak tree species can lead to a decline in its leaf litter quality and decomposability following thinning. The consequences for litter decomposition and forest floor C storage at the ecosystem-scale remain largely unexplored. 2. In this study, we took advantage of a regional-scale, multi-site network of long-term thinning experiments in temperate oak (Quercus petraea) forests to address this issue. We measured ecosystem properties related to forest floor C cycling in 19 plots across eight experimental sites covering a large gradient of stand density and age. Though we expected thinning to affect in situ litter decomposition by altering oak leaf litter quality, we conducted complementary experiments exploring additional mechanisms, i.e. alterations of microenvironmental conditions and soil faunal activity. 3. Thinning intensification induced a strong decline in tree canopy leaf area index, aboveground tree litter production and forest floor decomposition rate in early 'aggradation' stage of forest development. This slower litter decomposition was mainly driven by plasticity of oak trees that produced leaf litter of poorer quality and decomposability following thinning, e.g. litter richer in secondary metabolites such as condensed tannins. Change in microenvironmental conditions also contributed to the slowdown of litter decomposition, likely as a result of the less buffered microclimate associated with larger tree canopy opening. No change in soil faunal effect induced by thinning was found. 4. Thinning resulted in a limited decrease in forest floor C stock. Indeed, the slower litter decomposition offset nearly half of the forest floor C loss associated to the reduced litterfall in 'aggradation' stage. 5. Our study demonstrated that phenotypic plasticity in leaf litter traits of a dominant tree species can strongly affect ecosystem functioning by slowing forest floor decomposition following thinning intensification, in turn partly mitigating the negative effect of thinning on forest floor C storage.
Data from: Adaptive maternal behavioral plasticity and developmental programming mitigate the transgenerational effects of temperature in dung beetles
Phenotypic plasticity allows organisms to cope with rapid environmental change. Yet exactly when during ontogeny plastic responses are elicited, whether plastic responses produced in one generation influence phenotypic variation and fitness in subsequent generations, and the role of plasticity in shaping population divergences, remains overall poorly understood. Here, we use the dung beetle <i>Onthophagus taurus</i> to assess plastic responses to temperature at several life stages bridging three generations and compare these responses across three recently diverged populations. We find that beetles reared at hotter temperatures grow less than those reared at mild temperatures, and that this attenuated growth has transgenerational consequences by reducing offspring size and survival in subsequent generations. However, we also find evidence that plasticity may mitigate these consequences in two ways: (i) mothers modify the temperature of their offspring's developmental environment via behavioral plasticity and (ii) in one population, offspring exhibit accelerated growth when exposed to hot temperatures during very early development ("developmental programming"). Lastly, our study reveals that offspring responses to temperature diverged among populations in fewer than 100 generations, possibly in response to range-specific changes in climatic or social conditions.
Evidence shortfalls in the recommendations and guidance underpinning ecological mitigation for infrastructure developments
<p>1. In the UK and European Union, legal protection of species from the impacts of infrastructure development depends upon a number of ecological mitigation and compensation (EMC) measures to moderate the conflict between development and conservation. However, the scientific evidence supporting their effectiveness has not yet been comprehensively assessed.</p> <p>2. This study compiled the measures used in practice, identified and explored the guidance that informed them and, using the Conservation Evidence database, evaluated the empirical evidence for their effectiveness.</p> <p>3. In a sample of 50 UK housing applications, we identified the recommendation of 446 measures in total, comprising 65 different mitigation measures relating to eight taxa. Although most (56%) measures were justified by citing published guidance, exploration of the literature underpinning this guidance revealed that empirical evaluations of EMC measure effectiveness accounted for less than 10% of referenced texts. Citation network analysis also identified circular referencing across bat, amphibian and reptile EMC guidance. Comparison with Conservation Evidence synopses showed that over half of measures recommended in ecological reports had not been empirically evaluated, with only 13 measures assessed as beneficial.</p> <p>4. As such, most EMC measures recommended in practice are not evidence-based. The limited reference to empirical evidence in published guidance, as well as the circular referencing, suggests potential 'evidence complacency', in which evidence is not sought to inform recommendations. In addition, limited evidence availability indicates a thematic gap between conservation research and mitigation practice. More broadly, absence of evidence on the effectiveness of EMC measures calls into question the ability of current practice to compensate for the impact of development on protected species, thus highlighting the need to strengthen requirements for impact avoidance. Given the recent political drive to invest in infrastructure expansion, high-quality, context-specific evidence is urgently needed to inform decision-making in infrastructure development.</p>
Demand-side solutions to climate change mitigation consistent with high levels of wellbeing
<p>Systematic literature survey contains of 54784 documents</p> <p>This database was used by experts – sectoral teams and internal reviewers- to assess the demand-side mitigation strategies potential and wellbeing impacts. We set up the interactive database such that by clicking on each cell experts were guided to the associate dataset.</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)
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.