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248 results for “management strategies”
Energy management strategies for ectothermic vertebrates: temperature and heart rate as independent proxies
<p>Filtered data used for analysis of energy management strategies in three different species. R script provides an example of the across- and within-individual analysis. </p>
The umbrella value of caribou management strategies for biodiversity conservation in boreal forests under global change
<p><span>Single-species conservation management is often proposed to preserve biodiversity in human-disturbed landscapes. How global change will impact the umbrella value of single-species management strategies remains an open question of critical conservation importance. We assessed the effectiveness of threatened boreal caribou as an umbrella for bird and beetle conservation under global change. We combined mechanistic, spatially explicit models of forest dynamics and predator-prey interactions to forecast the impact of management strategies on the survival of boreal caribou in boreal forest. We then used predictive models of species occupancy to characterize concurrent impacts on bird and beetle diversity. Landscapes were simulated based on three scenarios of climate change and four of forest management. We found that strategies that best mitigate human impact on boreal caribou were an effective umbrella for maintaining bird and beetle assemblages. While we detected a stronger effect of land-use change compared to climate change, the umbrella value of management strategies for caribou habitat conservation were still impacted by the severity of climate change. Our results showed an interplay among changes in forest attributes, boreal caribou mortality, as well as bird and beetle species assemblages. The conservation status of some species mandates the development of recovery strategies, highlighting the importance of our study which shows that single-species conservation can have important umbrella benefits despite global change.</span></p>
The paradigm of tax-reward and tax-punishment strategies in the advancement of public resource management dynamics
<p>In contemporary society, the effective utilization of public resources remains a subject of significant concern. A common issue arises from defectors seeking to obtain an excessive share of these resources for personal gain, potentially leading to resource depletion. To mitigate this tragedy and ensure sustainable development of resources, implementing mechanisms to either reward those who adhere to distribution rules or penalize those who do not, appears advantageous. We introduce two models: a tax-reward model and a tax-punishment model, to address this issue. Our analysis reveals that in the tax-reward model, the evolutionary trajectory of the system is influenced not only by the tax revenue collected but also by the natural growth rate of the resources. Conversely, the tax-punishment model exhibits distinct characteristics when compared to the tax-reward model, notably the potential for bistability. In such scenarios, the selection of initial conditions is critical, as it can determine the system's path. Furthermore, our study identifies instances where the system lacks stable points, exemplified by a limit cycle phenomenon, underscoring the complexity and dynamism inherent in managing public resources using these models.</p>
Woodland expansion and upland management strategy dilemmas for biodiversity and carbon storage in the Cairngorms National Park
<p>datatsets and R scripts related to the analysis done in the research project "<span>impact of woodlands restoration and restriction of fire use in the Cairngorms National Park". <br></span></p>
Database to: Effectiveness of soil management strategies for mitigation of N2O emissions in European arable land: A meta-analysis
<p>Database to a meta-analysis studing the effects of adding different organic matter inputs (crop residues, green manure, livestock manure, slurry, digestate, compost or biochar) to soils on N2O emissions. Database consists of over 50 field experiments conducted in 15 European countries. Diverse arable crops, mainly cereals, were cultivated in monoculture or in crop rotations on mineral soils. Cumulative N2O emissions per unit land area were monitored during periods of 30 to 1,070 days in treatments, which received organic matter inputs, alone or in combination with mineral N fertiliser; and in controls fertilised with mineral N. The original results appeared in 46 articles published between 1993 and 2022 in peer-reviewed scientific journals, as well as a project report, and a PhD thesis.</p>
FIGURE 3 in Diversity And Abundance Of Phytoseiidae (Acari: Mesostigmata) In Three Crop Management Strategies Of Citrus Orchards In Tunisia
FIGURE 3: Time variation of Phytoseiidae densities and diversity in orchard (2) (a) on citrus leaves, (b) on weeds.
FIGURE 4 in Diversity And Abundance Of Phytoseiidae (Acari: Mesostigmata) In Three Crop Management Strategies Of Citrus Orchards In Tunisia
FIGURE 4: Time variation of Phytoseiidae densities and diversity in orchard (3) (a) on citrus leaves, (b) on weeds.
FIGURE 2 in Diversity And Abundance Of Phytoseiidae (Acari: Mesostigmata) In Three Crop Management Strategies Of Citrus Orchards In Tunisia
FIGURE 2: Time variation of Phytoseiidae and Tetranychidae densities on citrus leaves in orchard (1).
FIGURE 1 in Diversity And Abundance Of Phytoseiidae (Acari: Mesostigmata) In Three Crop Management Strategies Of Citrus Orchards In Tunisia
FIGURE 1: Time variation of Phytoseiidae densities and diversity in orchard (1) (a) on citrus leaves, (b) on weeds.
Slow practice and tempo management strategies in instrumental music learning: Investigating prevalence and cognitive functions
<p>This dataset corresponds to the publication of the same title and the following DOI: <a href="https://doi.org/10.1177%2F03057356211073481">https://doi.org/10.1177/03057356211073481</a></p> <p>The dataset contains 3 excel files. The file named QuantiativeSurveyDataClean_withKey contains all collected, unprocessed, cleaned data variables from the quantitative questionnaire. This includes all variables used for the principle components analysis. The file named ANOVA_data contains the variables used for the ANOVA analyses, and the file named regression_data contains the variables used for the regressions analyses. In all three files, descriptions of the variables can be found in the sheet titled "key", and the data can be found in the sheet titled "data".</p>
Cost Management in Cloud Computing: a study on financial waste and correction strategies
<p>This project explores the identification and mitigation of financial wastage in Cloud Computing (CC) operations by professionals in the field, examining the alignment of their strategies with FinOps guidelines. Through a survey distributed via social media and messaging apps to CC professionals, the study engaged 28 participants from various companies, sizes, and sectors. It revealed that these professionals have encountered cost-related issues in cloud applications, particularly financial wastage. The investigation aimed to understand the prevalence of financial wastage in CC and evaluate the effectiveness of the adopted practices in addressing these inefficiencies within the framework of FinOps principles.</p>
eELib: Open-Source Model Library for Prosumer Power Systems and Energy Management Strategies (data)
<p>Dataset and results used for the simulations in following publication:</p> <p>Carsten Wegkamp, Henrik Wagner, Eike Niehs, Julien Essers, Marcel Lüdecke, Mattias Hadlak, Bernd Engel:<br>"<strong>eELib: Open-Source Model Library for Prosumer Power Systems and Energy Management Strategies</strong>",<br>Open Source Modelling and Simulation of Energy Systems (OSMSES) 2024, Vienna, Austria, 2024</p> <p> </p> <p>This contains the input (scenario) files for the building & grid scenario and the results of the two simulations.<br>It uses the elenia Energy Library (eELib) with release version 1.0.0: https://gitlab.com/elenia1/elenia-energy-library</p>
From forest strategy to measures: what are forest owner attitudes & area size responses toward climate-proof forest management in Sweden and the Netherlands?
<p>The anonymous datasets from Swedish (records of 98 responses) and Dutch forest climate surveys (records of 241 responses), which are used for the statistical Kruskal Wallis tests, are freely available and accessible via this repository database (https://zenodo.org), as prescribed by the FAIR data policy of the Forclimit project sponsors. </p> <p>The surveys and the Small Scale Forestry article are deliverables of the European 2017-2020 Forclimit project "<em>Mobilizing and monitoring climate positive efforts in the forest sector" </em>The umbrella of the project is FACCE ERA-GAS, i.e. ERA-NET <em>co-fund for monitoring & mitigation of GHG from agriculture and sylviculture </em>(Horizon2020, award # 696356)<em>. </em>The other co-funders are the Dutch research council 'NWO' (grant award # 516-095-7542) and its Swedish equivalent 'FORMAS' (grant award # 2017-01751). </p>
Table 3 in Mowing inhibits the invasion of the alien species Solidago altissima and is an effective management strategy
<p><b>Table 3.</b> Heights of <i>S. altissima</i> before mowing in September 2019.</p><table><tbody><tr><th>Site</th><th>Control</th><th>Mowing 1</th><th>Mowing 2</th><th>Mowing 3</th></tr></tbody><tbody><tr><th>Site 1</th><td>168.0 ± 3.27a</td><td>64.0 ± 3.32c</td><td>100.5 ± 9.14b</td><td>67.5 ± 3.1c</td></tr><tr><th>Site 2</th><td>192.0 ± 11.3a</td><td>79.0 ± 4.07c</td><td>111.0 ± 6.9b</td><td>73.0 ± 7.61c</td></tr><tr><th>Site 3</th><td>159.0 ± 4.99a</td><td>123.0 ± 7.12b</td><td>84.5 ± 5.89c</td><td>47.0 ± 2.71d</td></tr><tr><th>Site 4</th><td>190.0 ± 2.98a</td><td>102.0 ± 3.89b</td><td>112.5 ±8.07b</td><td>62.0 ± 5.33c</td></tr><tr><th>Site 5</th><td>217.0 ±10.23a</td><td>87.5 ± 4.9c</td><td>137.0 ± 4.96b</td><td>62.5 ± 3.1d</td></tr><tr><th>Site 6</th><td>177.5 ± 6.76a</td><td>97.5 ± 5.44c</td><td>120.5 ± 4.97b</td><td>60.0 ± 2.58d</td></tr><tr><th>Site 7</th><td>143.5 ± 12.2a</td><td>81.0 ± 2.77b</td><td>138.5 ± 3.5a</td><td>62.0 ± 4.67b</td></tr></tbody></table><p>* Mowing 1: mowed once in July; Mowing 2: mowed twice in May and September; Mowing 3: mowed three times in May, July, and September. Data are presented as means ± standard errors of 10 replicates. Means within a row followed by different letters are significantly different at p <0.05 (ANOVA with post hoc Tukey’s test). Units: cm.</p>
Table 2 in Mowing inhibits the invasion of the alien species Solidago altissima and is an effective management strategy
<p><b>Table 2.</b> Heights of <i>S. altissima</i> before mowing treatment in May 2019.</p><table><tbody><tr><th>Site</th><th>Control</th><th>Mowing 1</th><th>Mowing 2</th><th>Mowing 3</th></tr></tbody><tbody><tr><th>Site 1</th><td>101.0 ± 3.2a</td><td>101.0 ± 3.0a</td><td>81.1 ± 2.6b</td><td>64.9 ± 3.1c</td></tr><tr><th>Site 2</th><td>116.5 ± 4.7a</td><td>111.8 ± 4.7a</td><td>82.9 ± 4.1b</td><td>72.5 ± 6.6b</td></tr><tr><th>Site 4</th><td>89.1 ± 2.2a</td><td>74.8 ± 2.2b</td><td>49.5 ± 3.1d</td><td>59.8 ± 1.6c</td></tr><tr><th>Site 5</th><td>93.5 ± 2.5a</td><td>99.5 ± 2.3a</td><td>78.0 ± 2.0b</td><td>77.1 ± 2.0b</td></tr><tr><th>Site 6</th><td>125.3 ± 5.2a</td><td>117.0 ± 3.0a</td><td>86.5 ± 3.0c</td><td>105.0 ± 3.4b</td></tr><tr><th>Site 7</th><td>123.3 ± 3.3a</td><td>119.3 ± 2.9ab</td><td>111.3 ± 2.8bc</td><td>110.3 ± 3.1c</td></tr><tr><th>Site 8</th><td>96.0 ± 4.0a</td><td>94.5 ± 4.1ab</td><td>84.5 ± 3.3bc</td><td>81.0 ± 3.1c</td></tr></tbody></table><p>* Mowing 1: mowed once in July; Mowing 2: mowed twice in May and September; Mowing 3: mowed three times in May, July, and September. Data are presented as means ± standard errors of 10 replicates. Means within a row followed by different letters are significantly different at p <0.05 (ANOVA with post hoc Tukey’s test). Units: cm.</p>
Table 1 in Mowing inhibits the invasion of the alien species Solidago altissima and is an effective management strategy
<p><b>Table 1.</b> Heights of dead shoots of <i>S. altissima</i> after 1 year of treatment in April 2019.</p><table><tbody><tr><th>Site</th><th>Control</th><th>Mowing 1</th><th>Mowing 2</th><th>Mowing 3</th><th>Eco 200</th></tr></tbody><tbody><tr><th>Site 1</th><td>162.8 ± 6.62a</td><td>85.7 ± 5.52b</td><td>29.5 ± 2.74c</td><td>21.3 ± 2.09c</td><td>77.9 ± 8.94b</td></tr><tr><th>Site 2</th><td>213.2 ± 12.08a</td><td>87.1 ± 7.33c</td><td>38.4 ± 2.17d</td><td>29.0 ± 2.01d</td><td>144.8 ± 9.57b</td></tr><tr><th>Site 3</th><td>163.4 ± 7.31a</td><td>66.3 ± 4.55c</td><td>40.7 ± 2.57d</td><td>33.4 ± 2.11d</td><td>143.4 ± 7.13b</td></tr><tr><th>Site 4</th><td>191.6 ± 3.84a</td><td>160.8 ± 7.90b</td><td>59.2 ± 1.66d</td><td>81.9 ± 6.50c</td><td>166.9 ± 12.33b</td></tr><tr><th>Site 5</th><td>181.7 ± 4.76a</td><td>114.7 ± 2.90b</td><td>89.5 ± 10.23c</td><td>46.6 ± 5.12d</td><td>183.8 ± 9.00a</td></tr><tr><th>Site 6</th><td>174.8 ± 4.34a</td><td>82.9 ± 4.49c</td><td>39.7 ± 2.51d</td><td>31.6 ± 2.47d</td><td>153.3 ± 3.12b</td></tr><tr><th>Site 7</th><td>165.5 ± 4.79a</td><td>91.2 ± 6.02b</td><td>64.7 ± 3.24c</td><td>44.0 ± 3.67d</td><td>153.8 ± 7.25a</td></tr></tbody></table><p>* Mowing 1: mowed once in July; Mowing 2: mowed twice in May and September; Mowing 3: mowed three times in May, July, and September; Eco 200: 30% of shoots in the quadrats were cut near the ground, and the cut surfaces were covered with the Eco 200 block. Data are presented as means ± standard errors of 20 replicates. Means within a row followed by different letters are significantly different at p <0.05 (ANOVA with post hoc Tukey’s test). Units: cm.</p>
Table 4 in Mowing inhibits the invasion of the alien species Solidago altissima and is an effective management strategy
<p><b>Table 4.</b> Change in areas occupied by <i>S. altissima</i> in patch-type communities from March 2018 to March 2019.</p><table><tbody><tr><th>Control</th><th>Mowing 3</th><th>Eco 20%</th><th>Eco 100%</th></tr></tbody><tbody><tr><th>205.2 ± 107.3</th><td>24.7 ± 44.0</td><td>104.5 ± 85.2</td><td><i>−</i> 31.7 ± 13.0</td></tr></tbody></table><p>Mowing 3: mowed three times in May, July, and September; Eco 20%: 20% of shoots were mowed and treated with Eco 200; Eco 100%: 100% of shoots were mowed and treated with Eco 200. Data are presented as means ± standard errors of six replicates.</p>
Leveraging Digital Transformation for Effective Issue Management as a Strategy to Strengthen Corporate Image
<p>Leveraging Digital Transformation for Effective Issue Management as a Strategy to Strengthen Corporate Image by Wiwi Lestari, Adhi Murti, Nisrin Husna</p>
Comparing and Combining Existing and Emerging Data Collection and Modeling Strategies in Support of Signal Control Optimization and Management (Project M2)
<p>For decades, traffic signal management agencies have used signal timing optimization tools combined with fine-tuning of signal timing based on field observations in their updates of time-of-day signal timing plans. These traditional signal optimization methods and tools use very limited amount of data and depend on default values in the signal timing optimization/simulation tools to estimate network performance under different signal optimization strategies. In recent years, new data collection technologies are emerging including high resolution controller data, more advanced detection technologies such as video image detection that are based on vehicle tracking and possible integration with microwave detectors, automatic-vehicle based identification technologies, third party crowdsourcing data, connected vehicles, and connected automated vehicles data. The objective of the proposed study is to propose methods and algorithms to combine data collected from existing and emerging sources with enhanced models and optimization algorithms to optimize and manage signal operations. The results from applying the developed methods and algorithms will be compared with traditional signal timing and optimization methods currently used by transportation agencies. </p>
Dataset for paper entitled "Thirty Three Years of Research about the Relation between Management and Business Strategy in Islamic Way"
<p>This is dataset of papers collected from Scopus that was related to business, strategy, and management in accordance to Islamic way. It contains CSV and Bibtex version. </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.