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13,276 results for “IT management”
IPBES Data Management Tutorials - Session 4.2: Recommendations for workflow establishment and data management
<p>The <em>IPBES data management tutorials</em> are short videos to help experts implement the IPBES data management Policy. They cover topics ranging from data management policy, reports, active research data, tools, and examples.</p> <p>The <em>Data management of active research data </em>chapter provides an introduction for IPBES experts on how to manage data while actively being used, analyzed, and produced to fulfill the criteria of the IPBES data management policy.</p> <p>This session,<em> Recommendations for workflow establishment and data management</em>, provides recommendations for data management including the generation of workflows and data storage. </p>
Silvicultural and economic dataset for even-aged and coppice-with-standards managements in France.
<p>Data set from DEFIFORBOIS project "Development and sustainability of the forest-wood sector in the Centre region", PSDR 4 project Centre-Val de Loire Region, France. This study has been carried out also with financial support from the French National Research Agency (ANR) in the frame of the Investments for the future Programme, within the Cluster of Excellence COTE (ANR-10-LABX-45) through the Project LUCAS.</p>
Data from: Steep and deep: Terrain and climate factors explain brown bear (Ursus arctos) alpine den site selection to guide heli-skiing management
<p>Winter recreation and tourism continue to expand worldwide, and where these activities overlap with valuable wildlife habitat, there is greater potential for conservation concerns. Wildlife populations can be particularly vulnerable to disturbance in alpine habitats as helicopters and snowmachines are increasingly used to access remote backcountry terrain. Brown bears (<i>Ursus arctos</i>) have adapted hibernation strategies to survive this period when resources and energy reserves are limited, and disturbance could negatively impact fitness and survival. To help identify areas of potential conflict between helicopter skiing and denning brown bears in Alaska, we developed a model to predict alpine denning habitat and an associated data-based framework for mitigating disturbance activities. Following den emergence in spring, we conducted three annual aerial surveys (2015–2017) and used locations from three GPS-collared bears (2008–2014) to identify 89 brown bear dens above the forest line. We evaluated brown bear den site selection of land cover, terrain, and climate factors using resource selection function (RSF) models. Our top model supported the hypothesis that bears selected dens based on terrain and climate factors that maximized thermal efficiency. Brown bears selected den sites characterized by steep slopes at moderate elevations in smooth, well-drained topographies that promoted vegetation and deep snow. We used the RSF model to map relative probability of den selection and found 85% of dens occurred within terrain predicted as prime denning habitat. Brown bear exposure to helicopter disturbance was evident as moderate to high intensities of helicopter flight tracking data overlapped prime denning habitat, and we quantified where the risk of these impact was greatest. We also documented evidence of late season den abandonment due to disturbance from helicopter skiing. The results from this study provide valuable insights into bear denning habitat requirements in subalpine and alpine landscapes. Our quantitative framework can be used to support conservation planning for winter recreation industries operating in habitats occupied by denning brown bears.</p>
IPBES Data Management Tutorials - Session 4.1: General introduction to the management of active research data
<p>The <em>IPBES data management tutorials</em> are short videos to help experts implement the IPBES data management Policy. They cover topics ranging from data management policy, reports, active research data, tools, and examples.</p> <p>The <em>Data management of active research data </em>chapter will provide an introduction for IPBES experts on how to manage data while actively being used, analyzed, and produced to fulfill the criteria of the IPBES data management policy.</p> <p>This session,<em> General introduction to the management of active research data</em>, covers what active data management is, why it is important, and considerations for key decisions made in this process. </p>
Opportunities and challenges in achieving co-management in marine protected areas in East Africa: a comparative case study
<p>As marine ecosystems decline globally, scientists recommend increasing the coverage of marine protected areas (MPAs), but many are not effectively managed to deliver benefits. Community integration into MPA decision-making can increase management effectiveness by supporting behaviour change, but this poses implementation challenges. We examine differences in adaptive capacity, community engagement, and perceived MPA benefits using interviews and focal group meetings with two fishing communities from MPAs with different management strategies and geographic settings: a centrally managed MPA in Kenya and a co-managed MPA in Tanzania. We hypothesized that perceptions of MPA benefits and MPA support would be higher among fishers and fish vendors in the more collaboratively designed system in Tanzania, and supported by greater adaptive capacity. Indeed, far fewer Kenyan participants (37%) felt they benefited from the MPA compared to Tanzanian participants (95%). However, agency and trust were largely similar and challenges existed in both systems that reduced collaborative action including low interaction/communication between staff and community, internal leadership challenges, and social conflict. We identified pathways towards improved co-management that transcend systems: institutional prioritization of community integration, investment in community leadership, mapping social networks during MPA establishment, and adequate staffing and operational budgets.</p>
IPBES Data Management Tutorials - Session 3.1: General introduction to data management reports
<p>The <em>IPBES data management tutorials</em> are short videos to help experts implement the IPBES data management Policy. They cover topics ranging from data management policy, reports, active research data, tools, and examples.</p> <p>The <em>IPBES data management reports </em>chapter provides an overview and discussion of specific elements of IPBES data management reports.</p> <p>This session provides a <em>general introduction to data management reports</em> and explains the difference between data management plans and data management reports.</p>
Density responses of lesser-studied carnivores to habitat and management strategies in southern Tanzania's Ruaha-Rungwa landscape
<p>Study using camera trapping and Spatially Explicit Capture-Recapture (SECR) to provide baseline status estimates for population densities of serval, striped hyaena and aardwolf in the Ruaha-Rungwa landscape and to assess the impact of habitat, management strategies and levels of anthropogenic impact on their population densities.</p>
Data of socio-technical evaluation of long-term spent nuclear fuel management options at San Onofre, California
<p>Data file supporting the socio-technical evaluation of long-term spent nuclear fuel management options at San Onofre, California.</p>
IPBES Data Management Tutorials - Session 3.2: Structure of a data management report and versioning
<p>The <em>IPBES data management tutorials</em> are short videos to help experts implement the IPBES data management Policy. They cover topics ranging from data management policy, reports, active research data, tools, and examples.</p> <p>The <em>IPBES data management reports </em>chapter provides an overview and discussion of specific elements of IPBES data management reports.</p> <p>This session, <em>Structure of a data management report and versioning</em>, details the structure of a data management report and guidelines for versioning. </p>
IPBES Data Management Tutorials - Session 3.3: Data management report details: Data and metadata documentation and curation
<p>The <em>IPBES data management tutorials</em> are short videos to help experts implement the IPBES data management Policy. They cover topics ranging from data management policy, reports, active research data, tools, and examples.</p> <p>The <em>IPBES data management reports </em>chapter provides an overview and discussion of specific elements of IPBES data management reports.</p> <p>This session <em>Data management report details: Data and metadata documentation and curation </em>reviews what should be included in metadata and why it should be tracked in a data management report.</p>
Toxic bait as an alternative tool in the management of Spodoptera frugiperda in second corn crops
<p>The attached file Data_base_JEN-2020-0374 (To upload in repository) refers to the article "Toxic bait as an alternative tool in the management of Spodoptera frugiperda in second corn crops"which was submitted to the Journal Applied Entomology (JEN-2020-0374)</p>
Dataset - Hot spots of opportunity for improved cropland nitrogen management across the United States
<p>Dataset for manuscript "Hot spots of opportunity for improved cropland nitrogen management across the United States"</p>
IPBES Data Management Tutorials - Session 5.1: Introduction to tools for data management
<p>The <em>IPBES data management tutorials</em> are short videos to help experts implement the IPBES data management Policy. They cover topics ranging from data management policy, reports, active research data, tools, and examples.</p> <p>The<em> Tools for data management </em>chapter provides IPBES authors with an overview of open source tools used frequently by the scientific community to help it implement data management for the entire data life cycle.</p> <p>The introductory session for the <em>Tools for data management</em> chapter reviews the characteristics that open source tools should have. </p>
Sustainable landscape, soil and crop management practices enhance biodiversity and yield in conventional cereal systems
<p>1. Input-driven, modern agriculture is commonly associated with large-scale threats to biodiversity, the disruption of ecosystem services and long-term risks to food security and human health. A switch to more sustainable yet highly productive farming practices seems unavoidable. However, an integrative evaluation of targeted management schemes at field and landscape scales is currently lacking. Furthermore, the often-disproportionate influence of soil conditions and agrochemicals on yields may mask the benefits of biodiversity-driven ecosystem services.</p> <p>2. Here, we used a real-world ecosystem approach to identify sustainable management practices for enhanced functional biodiversity and yield on 28 temperate wheat fields. Using path analysis, we assessed direct and indirect links between soil, crop and landscape management with natural enemies and pests, as well as follow-on effects on yield quantity and quality. A paired-field design with a crossed insecticide-fertilizer experiment allowed us to control for the relative influence of soil characteristics and agrochemical inputs.</p> <p>3. We demonstrate that biodiversity-enhancing management options such as reduced tillage, crop rotation diversity and small field size can enhance natural enemies without relying on agrochemical inputs. Similarly, we show that in this system controlling pests and weeds by agrochemical means is less relevant than expected for final crop productivity.</p> <p>4. Synthesis and applications: Our study highlights soil, crop and landscape management practices that can enhance beneficial biodiversity while reducing agrochemical usage and negative environmental impacts of conventional agriculture. The diversification of cropping systems and conservation tillage are practical measures most farmers can implement without productivity losses. Combining local measures with improved landscape management may also strengthen the sustainability and resilience of cropping systems in light of future global change.</p>
Replication package for: Improving Management with Individual and Group-Based Consulting: Results from a Randomized Experiment in Colombia
<p>This package contains the data and code needed to reproduce tables and figures in Iacovone, Maloney and McKenzie (forthcoming) "</p> <p><strong>Improving Management with Individual and Group-Based Consulting: Results from a Randomized Experiment in Colombia"., <em>Review of Economic Studies</em></strong>. </p> <p>Anonymized firm data are provided for analyzing impacts on management and employment. Authorized log files and output files are provided for analysis that uses the confidential EAM data, along with instructions for applying to access these data if required.</p>
Unexpected effects of local management and landscape composition on predatory mites and their food resources in vineyards
<p>This research was funded by the project SECBIVIT.</p> <p>Dataset of the results in the Articel: Unexpected effects of local management and landscape composition on predatory mites and their food resources in vineyards.</p> <p>For further information also see: </p> <ul> <li>Sampled grape varieties: http://doi.org/10.5281/zenodo.4562219 </li> <li>https://www.secbivit.boku.ac.at/</li> </ul>
Predatory arthropod community composition in apple orchards: Orchard management, landscape structure and sampling method
<p>Studies on predatory arthropods in agricultural areas seldom include Diptera other than hover flies, partly because common sampling methods are less effective for capturing species that easily fly off when disturbed. To study the effect from this bias when describing the predator community, we compared traditional beat sampling of branches and suction sampling for describing the community of predatory arthropods in Swedish apple orchards, both organic orchards and orchards using integrated pest management. Our results indicate that the proportion of both predatory dipterans and parasitic hymenopterans increase dramatically when using suction sampling (Diptera: 32% vs 20%, Hymenoptera: 25% vs 7%). In fact, predatory dipterans were the most abundant predatory group when using suction sampling, in contrast to beat sampling where spiders were the most abundant group. One group of predatory flies that was particularly rich in both species and individuals in the surveyed apple orchards was dance flies in the family Hybotidae. Even though the bias of sampling method was evident, it was encouraging that the method choice did not affect the conclusions concerning management on predatory arthropod communities. With both methods, dipteran and coleopteran predators were more abundant in organic apple orchards whereas opilionids were more abundant in orchards managed according to integrated pest management. The inclusion of landscape variables further indicated effects of landscape diversity and of deciduous forest cover, but the response varied in sign between predatory groups. Whereas both Coleoptera and Heteroptera were more abundant in orchards surrounded by more complex landscapes (high landscape diversity and/or high deciduous forest cover), spiders, opilionids and dipterans were rather less abundant in these orchards. To conclude, our study points to the potential importance of predatory dipterans in apple orchards, and we highly recommend future studies of arthropod predators in apple and other crops to actively include predatory Diptera.</p>
Temporal nitrogen dynamics in intensively managed loblolly pine early stand development
<p>Forest production is strongly dependent on nutrient uptake; however, sustainable management of intensively managed plantations requires an improved understanding of this relationship when fertilization occurs frequently across short rotations. Here, we studied temporal nitrogen (N) concentration ([N]) and content (Nc) dynamics under different silvicultural practices (herbicide, fertilization, and planting density) throughout early loblolly pine (<i>Pinus taeda</i>) stand development (5 years). We describe relationships of [N] and Nc of different stand components (foliage, branches, stem, roots, and competing vegetation) with carbon and biomass. Our results demonstrate that [N] of perennial loblolly tissues do not respond to silvicultural practices and progressively decrease through development. While foliar [N] was most responsive to resource availability, it was not consistent across time. Controlling competing vegetation was crucial to promote the use of site resources by the crop tree and increased loblolly Nc by >500%. However, increased N uptake and expedited growth is dependent upon fertilization early in stand development. At age 5,<i> </i>herbicide<i> </i>plus <i>reduced </i>and <i>full </i>fertilization<i> </i>rates exhibited similar aboveground Nc, which was 32% higher than with <i>herbicide only</i>. Increasing planting density resulted in increased above- and belowground loblolly Nc; however, increases in Nc were not proportional with increases in planting density. Net primary productivity and N uptake were linearly related, but age/development strongly controlled N use efficiency. Our study helps to understand complex relationships between N, biomass, and silvicultural practices during early stand development and demonstrates that temporal evaluation of nutrient dynamics is crucial to better understand loblolly pine growth, carbon sequestration potential, and to inform sustainable silvicultural practices across short rotations.</p>
Behaviour-based large-scale planning Fleet Management System Evaluation
<p>This dataset was generated within the SafeLog project while evaluating the performance of a decentralized Fleet Management System (MARS). MARS attempts to find a solution to the multi-agent path finding problem in a decentralized manner, by representing each component as an autonomous agent. We compared the results of a large set of routing assignments within a benchmarking environment to a centralized planner, with respect to the goodness of the resulting routes as well as the computation time. The results can be found in the "MARS" directory within the dataset.</p> <p>We further investigated ROS 2 as a potential framework for an upcoming iteration of the software. To that end, an abstraction of the architecture was built in ROS and ROS 2, in order to compare the communication overhead in the context of a very large number of nodes. The results of this can be found in the "ROS" directory.</p> <p> </p> <p>Please refer to the README.md for further explanation.</p>
Appendix 4 to "The Status of Biological Invasions and their Management in South Africa in 2019"—Species list change tracker
<p>For more details see: http://iasreport.sanbi.org.za</p> <p>SANBI and CIB 2020. Appendix 4 to "The Status of Biological Invasions and their Management in South Africa in 2019"—Species list change tracker. South African National Biodiversity Institute, Kirstenbosch and DSI-NRF Centre of Excellence for Invasion Biology, Stellenbosch. http://dx.doi.org/10.5281/zenodo.3947778</p>
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.