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13,276 results for “IT management”
Fig. 3 in Multi-Criteria Decision Analysis as a tool to extract fishing footprints: application to small scale fisheries and implications for management in the context of the Maritime Spatial Planning Directive
Fig. 3: Spatial representation of the criteria ranking taken into account in MCDA.
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>
Figure 3 in Management of the invasive Nuttall's pondweed (Elodea nuttallii) in Lough Arrow, a Natura 2000 designated lake in Western Ireland
Figure 3. Aerial view of jute mat application in Loughbrick Bay. Photo credit: William Earle.
Figure 2 in Management of the invasive Nuttall's pondweed (Elodea nuttallii) in Lough Arrow, a Natura 2000 designated lake in Western Ireland
Figure 2. Jute mat application in Loughbrick Bay. Photo credit: Darren Garland.
Fig. 7 in Ecophysiological responses to the effect of annual management on an endemic viviparous fish in central plateau of México
Fig. 7. Bimonthly energy expenditure during cycles of mexcalpique nictemeral in San Martin.
Fig. 1. Environmental parameters during a in Ecophysiological responses to the effect of annual management on an endemic viviparous fish in central plateau of México
Fig. 1. Environmental parameters during a hydrological cycle in San Martín Dam.
Fig.5 in Reaching The Climate Objectives Of Forest Management In Latvia Within The Scope Of European Climate Policy
Fig.5. Projections of harvest rate in the "business as usual" scenario (Source: LFSRI Silava).
Fig.4 in Reaching The Climate Objectives Of Forest Management In Latvia Within The Scope Of European Climate Policy
Fig.4. Projections of harvest rate in the Latvia's FRL scenario (Source: LFSRI Silava).
Fig.3 in Reaching The Climate Objectives Of Forest Management In Latvia Within The Scope Of European Climate Policy
Fig.3. Net GHG emissions in forest lands, including afforestation (Source: LFSRI Silava).
Fig. 3 in The Implementation Of Nature Management Plans For Specially Protected Nature Territories In Latvia: Stakeholder Awareness, Applying Gis Tools, Indicators For Management
Fig. 3. Map of the landscape terrain at Nature park "Dridža ezers" ("Lake Dridža")
Fig. 1 in The Implementation Of Nature Management Plans For Specially Protected Nature Territories In Latvia: Stakeholder Awareness, Applying Gis Tools, Indicators For Management
Fig. 1. Interactive map of recreation sites at Nature park "Dridža ezers" ("Lake Dridža")
Exploring the Competencies, Phases and Dimensions of Municipal Administrative Management towards Sustainability: a systematic review
<p><span>Municipal administrative management plays a crucial role in the progress of local communities, with its effectiveness and efficiency being determining factors for the economic growth and sustainable development of a region. Therefore, it is essential to understand how local governments approach administrative management with a view to promoting sustainable practices. This research focuses on analyzing municipal administrative management from a global and multidimensional perspective, examining both its competencies and its phases and dimensions. The methodology employed is a systematic literature review using PRISMA. Among the findings, the thematic diversity in municipal management stands out, with a particular focus on performance evaluation and quality. The main competencies of local governments include the promotion of social welfare and sustainable development. The key dimensions of administrative management focused on sustainability encompass social, organizational, environmental, economic, and political aspects, highlighting the complexity of municipal management. Strategic planning is identified as essential, along with a balanced focus on all phases of implementation, control, and improvement. This research provides an understanding of how local governments can play a fundamental role in improving the quality of life of their communities through effective and sustainable management.</span></p>
Figure 2 in Monitoring of infestation percentages of the invasive red palm weevil, Rhynchophorus ferrugineus (Coleoptera: Curculionidae), and management tactics: a six-year study
Figure 2. The injection device recommended by MEWA, Saudi Arabia to control R. ferrugineus.
FAIRmat Tutorial 13: NOMAD for Experimental Data Management in Synthesis
<p>FAIRmat Tutorial 13, presented by <a href="https://www.fairmat-nfdi.eu/fairmat/areas-fairmat/area-a-fairmat" target="_blank" rel="noopener">FAIRmat Area A Synthesis</a>, introduces <a href="https://nomad-lab.eu/nomad-lab/" target="_blank" rel="noopener">NOMAD</a> and <a href="https://nomad-lab.eu/nomad-lab/nomad-oasis.html">NOMAD Oasis</a> as essential tools for research data management (RDM). This tutorial will specifically demonstrate how to utilize these tools for managing experimental materials science data, with a particular focus on synthesis data.</p> <p>Participants will learn about NOMAD's versatile data model, which ensures data interoperability, and its various types and levels of schemas, including custom yaml schemas, community standards, plugins, and BaseSections. The tutorial will also cover the integration of NOMAD with Electronic Lab Notebooks (ELNs) to enhance data documentation and management. A practical session will guide users through a typical synthesis data example, demonstrating how to start from NOMAD's built-in ELNs, develop a data schema, convert it into a NOMAD plugin for automated data processing, and deploy the schema on a local NOMAD Oasis. This hands-on approach will provide invaluable insights into customizing NOMAD to fit specific experimental workflows.</p> <p>The session is designed to serve various user groups, including standard users, data stewards & data scientists, and system administrators, ensuring that each participant gains a comprehensive understanding of the tool's capabilities and applications in their respective roles. Join us to explore how NOMAD can transform your approach to data management in experimental synthesis, leading to more efficient and coherent research outputs - FAIR principles in practice.</p> <p> </p> <p>Disclaimer: NOMAD is being continuously developed based on input and feedback from the scientific community. Hence the features, services or interface may have changed since the time of recording of this video. For up-to-date information please consult our latest tutorials and the NOMAD documentation <a href="https://nomad-lab.eu/prod/v1/docs/">https://nomad-lab.eu/prod/v1/docs/</a></p>
FAIRmat Tutorial 11: Research data management, from fundamentals to implementation
<p>Scientific data are the key outcome of research activities at universities, research institutes, and industrial R&D centers. With the recent surge in research data production driven by high-throughput techniques, and the digitalization of scientific methods, data management has become more critical than ever. Moreover, multidisciplinary collaborative research requires the seamless exchange of research data between team members and different laboratories.</p> <p>To ensure that these vast amounts of diverse research data are handled effectively and result in valuable human knowledge and discoveries, it is imperative that proper data management practices are implemented. This ensures that data are produced in a high-quality, reproducible, and well-documented manner so that they can be machine-actionable and reusable in the future. </p> <p>Research Data Management (RDM) refers to the practices used in handling scientific data throughout their lifecycle, from collection to reuse.</p> <p>In this interactive tutorial, we will explain the different stages of the research data lifecycle and identify the best practices for each stage. We will explore the FAIR data principles —Findable, Accessible, Interoperable, and Reusable— and provide insights into their implementation during the research process. In addition, we will introduce the concept of data management plans, which define the data management process during research projects, along with practical tips on the various components and how to comply with funder requirements. </p> <p>The tutorial is divided into two sessions:</p> <ol> <li>Basic concepts and definitions of FAIR data and RDM</li> <li>Practical tips and examples for applying best practices in RDM</li> </ol> <p>After completing this tutorial, you will be able to: </p> <ul> <li>Describe the FAIR principles and understand the different aspects and implementations of FAIR data.</li> <li>Describe and justify measures for good RDM at different stages of the data lifecycle.</li> <li>Understand and explain the concepts of persistent identifiers (PID), metadata, data storage systems, etc. </li> <li>List and understand the contents of the components of a DMP according to the requirements of different funders in Europe. </li> <li>Identify the tools available to create a DMP.</li> </ul>
FAIRmat Tutorial 12: Getting started with NOMAD and NOMAD Oasis for research data management (RDM)
<p>In this online tutorial we will cover the first steps with NOMAD and NOMAD Oasis. We will briefly cover the core NOMAD functionality on exploring, uploading, sharing and publishing data with NOMAD. We will then explore options for creating your own schemas and plugins to support new file formats and create custom electronic lab notebooks (ELNs), we show ways to customize an NOMAD Oasis, and how to contribute to the development of NOMAD and its ecosystem.</p> <p>The tutorial includes an introduction talk about NOMAD and FAIRmat, including the latest changes and features in NOMAD. This is followed by a practical follow along session, where we go through a Jupyter notebook that demonstrates how to use NOMAD for managing custom data and file types. Based on a simple given dataset, we show how to model the data in a schema, do parsing and normalization, process data, access existing data with NOMAD's API for analysis, and how to add visualization to your data.</p> <p> </p> <p><strong>Disclaimer: </strong>NOMAD is being continuously developed based on input and feedback from the scientific community. Hence the features, services or interface may have changed since the time of recording of this video. For up-to-date information please consult our latest tutorials and the NOMAD documentation <a href="https://nomad-lab.eu/prod/v1/docs/">https://nomad-lab.eu/prod/v1/docs/</a></p>
Fig. 4 in Towards incorporating insect isotope analysis using cavity ring-down spectroscopy into area-wide insect pest management programs
Fig. 4. Decision tree to select an option for using isotopes in an operational program.
Temperature-controlled nanomosaic of AuCu bimetallic structure towards smart light management
<p>The following dataset contains research data that is the basis of the research article:</p> <p>"Temperature-controlled nanomosaic of AuCu bimetallic structure towards smart light management"</p> <p>Contents of the package are the following:</p> <p>a) Linear voltammetry carried out in 0.1 M NaOH for 10AuCu, 5Au5Cu and 5Cu5Au annealed at 300°C and 600°C</p> <p>b) Experimental results of UV-vis absorbance for 10AuCu, 5Au5Cu and 5Cu5Au annealed at 200°C, 400°C and 600°C</p> <p>c) XPS for 10AuCu annealed at 500°C</p>
Data from a study on the role of the American toad (Anaxyrus americanus) in vegetable pest management in Pennsylvania
<p>Datasets associated with a manuscript on the role of the American toad (<em>Anaryxus americanus</em>) in pest management in vegetable production in Pennsylvania, USA. The datasets derive from three distinct studies that shed light on the ecological role of the toad: (1) gut contents of field-collected individuals from a small diversified vegetable farm, (2) outcomes from a laboratory experiment on toad foraging behavior toward a range of prey, and (3) outcomes from a field mesocosm experiment in which different densities of toads were enclosed with kale plants. </p> <p>Please see the file <code>toad_column_key.xlsx</code> for the definitions of fields in all data files. </p>
An Empirical Study on Challenges of Event Management in Microservice Architectures
<p>Data set of the submitted manuscript "An Empirical Study on Challenges of Event Management in Microservice Architectures"</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.