Find research datasets worth reusing

opencc-by-4.0Oct 2022View details →

Research Data Management Decision Tree

Researchers often face the same stumbling blocks. To support them, we have developed a RDM Decisional Tree starting from the fundamental bricks of the data lifecycle and posing a series of questions to help researchers navigate: 1) the domain specific nature and origin of the data they are handling; 2) Privacy/Ethics requirements (e.g. GDPR); 3) Intellectual Property Rights; 4) active data storage; 5) long-term deposit and preservation. This diagram has been created by the team of data steward at the University of Bologna (UNIBO, Alma Mater Studiorum - Università di Bologna) in October 2022. It has been developed in parallel to the Research Data Management: Data Lifecycle, available here: <a href="https://doi.org/10.5281/zenodo.7249050">10.5281/zenodo.7249050</a>

opencc-zeroOct 2022View details →

Disease management during bloom affects the floral microbiome but not pollination in a mass-flowering crop

Flowering crops are heavily managed during bloom to both promote pollination and prevent disease. Disease management practices can alter the floral microbiome, including pathogens and non-target microbes. However, whether agrochemical presence or altered microbiome composition affect pollinator foraging and pollination services is unclear. We assessed the effects of orchard management tactics and landscape context on the flower microbiome in almond, Prunus dulcis. Fourteen orchards (5 conventional, 4 organic, 5 conventional with habitat augmentation) were sampled at early and peak bloom to characterize bacterial and fungal communities associated with floral tissues. The surveys were complemented by an artificial flower experiment to assess the effects of fungicides and microbes on honey bee foraging. Finally, a field trial was conducted to test the effects of fungicides and microbes on pollination. As bloom progressed, bacterial and fungal abundance and diversity increased across all floral tissue types and management strategies. The magnitude by which microbial abundance and diversity were affected varied, with proximity to apiaries and orchard management having notable effects on bacteria and fungi, respectively. Experiments revealed that fungicides reduced nectar removal by honey bees; however, neither fungicide nor microbe treatments affected pollination, as measured through pollen tube initiation and growth. Synthesis and applications: Our results reveal that microbiota associated with flowers of a pollinator-dependent crop are temporally dynamic and sensitive to management practices. However, pollination services in almonds may be resilient to both agrochemical disturbance and microbial augmentation of flowers, the latter of which may become more prominent as microbial solutions to disease management are embraced in agroecosystems.

opencc-zeroOct 2022View details →

Data for: Direct and indirect effects of management and landscape on biological pest control and crop pest infestation in apple orchards

Biological pest control, relying on naturally occurring predator-prey dynamics, is considered a key element to achieve more sustainable farming systems. However, the combined effects of local management and landscape factors on communities of natural enemies as well as the cascading effects on pest infestations are rarely addressed, especially in perennial crops. Here, we used Piecewise Structural Equation Modelling (PSEM) to test direct and indirect effects of landscape composition, landscape configuration and local management practices on natural enemy communities, the pest control services they provide and ultimately on pest infestation and pest-related yield damage in apple crops. To this end, we surveyed 12 organic and 12 Integrated Pest Management (IPM) orchards during three consecutive years, and we also established a semi-natural benchmark to quantify the extent to which predator communities in the orchards were degraded. Natural enemies had a different community composition and were more abundant in organic orchards compared to IPM orchards. This had a small and positive effect on sentinel egg predation rates in organic orchards, but overall had very little impact on actual apple pest infestation. On the contrary, apple pest infestation levels were directly and positively affected by organic management practices and by increasing semi-natural habitat cover and landscape edge density. Compared to a semi-natural benchmark, both agricultural management systems showed degraded predator communities, which translated into an impaired delivery of biological control services. Synthesis and applications. Our results indicate that organic management and habitat conservation can enhance natural enemies and stimulate pest control, but also show that these factors can enhance pest infestations and can even lead to an overall increase in pest-related crop damage. Our study thus highlights the complex interplay of ecosystem services and disservices provided by biodiversity, which should be taken into account when advising farmers, policy makers and land managers on effective and sustainable strategies to control pest species and safeguard crop production.

opencc-by-4.0Nov 2012View details →

Week 1- 5-Star Hotel General Manager- Career Perspective

Introduction To Hospitality Video for Week1, 5-Star Hotel General Manager- Career Perspective is published by HTMiSwitzerland.

opencc-by-4.0Sep 2017View details →

COAR RDM (Research Data Management) Working Group

This presentation was made in the internal meeting of COAR RDM (Research Data Management) Working Group. It covered building up support structure for RDM and the requirements for infrastructures including a use case from Vienna University.

opencc-by-nc-4.0Jul 2017View details →

myVCF: a desktop application for high-throughput mutations data management

Next-generation sequencing technologies have become the most powerful tool to discover genetic variants associated with human diseases. Although the dramatic reductions in the costs facilitate the use in the wet-lab and clinics, the huge amount of data generated renders their management by non-expert researchers and physicians extremely difficult. Therefore, there is an urgent need of novel approaches and tools aimed at getting the ‘end-users’ closer to the sequencing data, facilitating the access by non-bioinformaticians, and to speed-up the functional interpretation of genetic variants. We developed myVCF, a standalone, easy-to-use desktop application, which is based on a browser interface and is suitable for Windows, Mac and UNIX systems. myVCF is an efficient platform that is able to manage multiple sequencing projects created from VCF files within the system; stores genetic variants and samples genotypes from an annotated VCF files into a SQLite database; implements a flexible search engine for data exploration, allowing to query for chromosomal region, gene, single variant or dbSNP ID. Besides, myVCF generates a summary statistics report about mutations distribution across samples and across the genome/exome by aggregating the information within the VCF file. In summary, the myVCF platform allows end-users without strong programming and bioinformatics skills to explore, query, visualize and export mutations data in a simple and straightforward way.

opencc-by-sa-4.0Oct 2017View details →

Annual pasture management around Novo Progresso, Para, Brazil from 2013 - 2015

This dataset contains the three maps produced from a dense Landsat time series using the clear observation sequence approach described in Jakimow, B., Griffiths, P., van der Linden, S. and Hostert, P. (2017) Mapping pasture management in the Brazilian Amazon from dense Landsat time series. Remote Sensing of Environment. DOI: 10.1016/j.rse.2017.10.009. The maps summarize the annual pasture management in the Novo Progresso region, Pará, Brazil between 2013 and 2015.

opencc-by-4.0Dec 2017View details →

Additonal material for the dissertation "An Accelerated Solution Method for Two-Stage Stochastic Models in Disaster Management": Data, MATLAB codes and results

File "DataImport" contains a "ReadMe" file, raw data for all case studies in Excel and the MATLAB code "ImportData.m" importing Excel data into MATLAB File "LShaped" contains a "ReadMe" file, all data in the form of matrices and the MATLAB code "LShaped_MultiCut.m" solving all case studies via the standard or accelerated L-shaped method using a multi-cut approach File "Results" contains a "ReadMe" file, results of all case studies and computation time required by Gurobi, der standard L-shaped method and accelerated L-shaped method

opencc-by-4.0May 2011View details →

Figure 2. Hierarchical access to the image DB-Access Management in Medical Image Databases Based on New Format and Contents Protection with Inverse Pyramid Decomposition

The structure of the hierarchical access to the image database contents is shown on Fig. 2.

opencc-zeroApr 2024View details →

Survey responses from stakeholders managing, growing, advising or assessing UK populations of Juniperus communis

Increased imports of plants and timber through global trade networks provide frequent opportunities for introduction of novel plant pathogens that can cross-over from commercial to natural environments, threatening native species and ecosystem functioning. Prevention or management of such outbreaks relies on a diversity of cross-sectoral stakeholders acting along the invasion pathway. Yet guidelines are often only produced for a small number of stakeholders, missing opportunities to consider ways to control outbreaks in other parts of the pathway. We used the infection of common juniper with the invasive pathogen Phytophthora austrocedri as a case study to explore the utility of decision tools for managing outbreaks of plant pathogens in the wider environment. We invited stakeholders who manage or monitor juniper populations or supply plants or management advice to participate in a survey exploring their awareness of, and ability to use, an existing decision tree produced by a coalition of statutory agencies augmented with new distribution maps designed by the authors. Awareness of the decision tree was low across all stakeholder groups including those planting juniper for restoration purposes. Stakeholders requested that decision tools contain greater detail about environmental conditions that increase host vulnerability to the pathogen, and clearer examples of when management practices implicated in pathogen introduction or spread should not be adopted. The results demonstrate the need to set clear objectives for the purpose of decision tools and to frame and co-produce them with many different stakeholders, including overlooked groups such as growers and advisory agents, to improve management of pathogens in the wider environment.

opencc-by-4.0Apr 2024View details →

Evaluation of comparative efficacy of Babool Vati versus Tablet Metformin in the Management of Type 2 Diabetes Mellitus (Prameha)- a randomized controlled trial protocol

Open the record for dataset details and reuse information.

opencc-zeroApr 2024View details →

Data from: The potential of undersown species identity vs. diversity to manage disease in crops

In the absence of chemical control with its negative side effects, fungal pathogens can cause large yield losses, requiring us to develop agroecosystems that are inherently disease resistant. Grassland biodiversity experiments often find plant species diversity to reduce pathogen pressure, but whether incorporating high biodiversity levels in agricultural fields have similar effects remains largely unknown. We tested if undersown plant species diversity could reduce barley disease, and whether the effect was mediated through above- or belowground mechanisms, by combining an agricultural field trial with a soil transplant experiment. As predicted, barley disease decreased in the presence of undersown plants. Undersown species richness had no effect, but their abundance led to early season disease reduction. Aboveground mechanisms underpinned this disease reduction. Barley yield slightly decreased with increasing undersown species richness, and undersown species varied in their impact on yield. We identified two undersown species, Trifolium repens and T. hybridum, that contributed most to disease reduction and had the potential to increase barley yield. Furthermore, our results indicate that aboveground mechanisms caused this. We show that agroecosystem functioning can be improved without trade-offs on yield by targeted selection of undersown species.

opencc-zeroApr 2024View details →

Data from: Influences of ski-runs, meadow management and climate on the occupancy of reptiles and amphibians in a high-altitude environment of Italy

Alpine ecosystems harbour a rich and highly-specialized biodiversity which is particularly susceptible to anthropogenic disturbances such as habitat loss and fragmentation as well as to climate change. Combined with other forms of land-use conversion, construction and maintenance of ski resorts can have severe consequences on alpine biodiversity. In this study, we show how one amphibian and two reptile species, namely Rana temporaria, Zootoca vivipara and Vipera berus, respond to such impacts by means of a multi-season occupancy analysis. We found all three species both in and outside ski-runs, showing that these habitats do not necessarily preclude their occurrence. Contrarily, this is influenced more by microhabitat availability, such as ground vegetation, humid areas, and rock cover, rather than by macro-characteristics like elevation or habitat type. Moreover, we found a climatic influence on the year-to-year occupancy change of the species, with activity-months conditions being more relevant than overwintering ones. Our results demonstrate how, in the specific case of reptiles and amphibians, ski resorts do not necessarily limit species' occurrence and that a mild series of management actions might secure the species' persistence in the area.

Agile Social Software Engineer: An Empirical Approach to Mitigate and Manage Social Debts in Agile Environments

Replication package description:     "DataCollection.xlsx": Survey responses from Agile teams in weeks 1, 2, 3, 4 and 5.          "DataAnalysis.xlsx": Analysis of the answers from the survey to answer the research questions proposed in this work.     Team-working issues that could lead to community smells can be found in TeamworkingIssues Tab.     The root causes of community smells in agile teams over weeks can be found in Rootcauses Tab.     Requests for Agile social guardian intervention can be found in Requestagileteams Tab.     Recurring needs and concerns in agile teams can be found in Needs_Concerns Tab.

Dataset belonging to SNF project: Use of physiologically based pharmacokinetic modelling to simulate dosing requirements of long-acting intramuscular antiretroviral drugs in special populations and to manage drug-drug interactions

Open the record for dataset details and reuse information.

Images and audiovisual on end of life management practices

Photos of collected virgin and used  Agricultural Plastic (AP) and Agricultural Plastic Waste (APW)

Leadership Styles in International Conflict Management. Action by the European Union Against Radicalization, Terrorism and Violent Extremism – Risks and Threats

The article focuses on the antecedents of the emergence and management of international conflicts related to radicalization and terrorism in a European context and the interaction between leader and team. The objective of the desk research is to examine the correlation between the leadership style and the team, the leadership competencies, and to develop strategies for conflict resolution and management. It is achieved by analysing the European approach to the prevention of radicalization, terrorism and violent extremism, and exploring their positive and negative effects on a specific individual or group. The focus is on the role of leadership styles and competences at different hierarchical levels in order to achieve results and find solutions to problems. This paper presents the desk research conducted on countering radicalization and extremism.

opencc-zeroMay 2024View details →

Data from: Phase-dependent red fox expansion into the tundra: Implications for management

Expansion of boreal species into tundra ecosystems is a consequence of climate change and human exploitation that threatens local species through increased predation, competition, and pathogen transmission. Under these circumstances, efficient control of expanding boreal species may be necessary, but the efficiency of such action depends on understanding the ecological influences of expansion. The red fox (Vulpes vulpes) is expanding into the tundra across the Arctic. In Scandinavia, red foxes threaten local tundra species and communities including the endangered Arctic fox (V. lagopus). The ecological dynamics in the tundra are influenced by small rodent cycles (classified into different phases based on seasonal abundance fluctuations), which can affect red fox expansion, distribution, and abundance. We used a 17-year (2004–2020) dataset from the tundra in Sweden, consisting of raw snow track data, to test how cyclic prey influenced red fox distribution and abundance, and subsequently red fox control. The winter abundance of red fox was influenced by small rodent phase, with higher abundance during high prey availability (i.e., increased number of prey numbers) with no support for a time lag between red fox and small rodent abundance. This suggests that high prey availability attracts red foxes to the tundra and that higher immigration from the boreal zone can be expected in response to increased prey abundances. There was no relationship between red fox control and small rodent availability, but control was influenced by red fox abundance during the previous year, which highlights an opportunistic control strategy. We recommend an adaptive management strategy where authorities include small rodent dynamics in the planning and execution of red fox control.

Resources for BMF CP72: The effectiveness of knowledge management systems in motivation and satisfaction in Vietnamese higher education institutions

Code and data for reproducing the results in "BMF CP72: The effectiveness of knowledge management systems in motivation and satisfaction in Vietnamese higher education institutions" are available here.

Prioritizing wildfire fuel management in California

The resources available for managing wildfire risk are insufficient and ultimately finite , while the risk of catastrophic fires is enormous and growing. Prioritization of responses is thus critical, but the basis for comparing the costs and societal benefits of alternative investments in wildfire mitigation is woefully inadequate. Here, we assess and compare the costs of landscape-scale fuel treatment to the benefits of avoided destruction of property and smoke-related health impacts, and identify areas where the net benefits are greatest statewide. We find that re-prioritizing treatment areas could increase net benefits by a factor of more than 7 relative to historical treatments, with average net benefits in the top decile of areas (i.e., 28,000 km2) of >$225k per km2 (as compared to an estimated $90k per km2 of past treatments). By integrating physical, epidemiological, and economic methods, our results reveal large opportunities for improving the cost-effectiveness of wildfire fuel treatments, and demonstrate a general framework that can be applied by land managers in all wildfire-prone areas.