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8 results for “resource needs”
Tweets informing about resource needs and availabilities in post-disaster situation
<p>This is the dataset for the paper:</p> <p>Moumita Basu, Anurag Shandilya, Prannay Khosla, Kripabandhu Ghosh, Saptarshi Ghosh. Extracting Resource Needs and Availabilities from Microblogs for Aiding Post-Disaster Relief Operations. IEEE Transactions on Computational Social Systems, 2019.</p> <p>The data contains tweetids of tweets (from Twitter) posted during (1) the 2015 Nepal earthquake, and (2) 2016 Italy earthquake. The tweets that inform about need and availability of various types of resources are identified.</p> <p>The dataset can be used for developing algorithms for microblog retrieval / classification, and for understanding social media activity in the aftermath of a disaster event.</p>
Support data for article "The concept of network resource control of a 5G cluster focused on the smart city's critical infrastructure needs"
<p>Support data for article:</p> <div>V. Kovtun, K. Grochla, and K. Połys, “The concept of network resource control of a 5G cluster focused on the smart city’s critical infrastructure needs,” Alexandria Engineering Journal, vol. 94. Elsevier BV, pp. 248–256, May 2024. doi: 10.1016/j.aej.2024.03.038.</div> <p>This research is part of the project No. 2022/45/P/ST7/03450 co-funded by the National Science Centre and the European Union Framework Programme for Research and Innovation Horizon 2020 under the Marie Skłodowska-Curie grant agreement No. 945339.</p>
Data from: Industry needs matter – incorporating stakeholder interests in the selection of flower resources to support pollinators
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Biocuration - mapping resources and needs - Underlying Data
<p>A variety of teams and individuals are involved in biocuration worldwide. However, they may not self-identify as biocurators <em>per se</em>, as they may be unaware of biocuration as a career path or because biocuration is only part of their role. The lack of a clear, up-to-date profile of biocuration creates challenges for organisations like ELIXIR, the ISB and GOBLET to systematically support biocurators and for biocurators themselves to develop their own careers. Therefore, the ELIXIR Training Platform launched an Implementation Study in order to i) identify communities of biocurators, ii) map the type of curation work being done, iii) assess biocuration training, and iv) draw a picture of biocuration career development. To achieve the goals of the study we carried out a global survey about the nature of biocuration work, the tools and resources that are used, training that has been received and additional training needs. To examine these topics in more detail we ran workshop-based discussions at ISB Biocuration Conference<strong> </strong>2019 and the ELIXIR All Hands Meeting 2019. We also had guided conversations with selected people from the EMBL-European Bioinformatics Institute.</p> <p>The following files represent the underlying data for this study:</p> <ul> <li> <p>Pilot survey questions.docx (questionnaire sent to staff of Wellcome Genome Campus)</p> </li> <li> <p>Questions to guide conversations with biocurators.docx (conversation guide outlines the type of questions to be asked)</p> </li> <li> <p>Global survey questions.docx (globally disseminated questionnaire revised on the basis of the pilot survey)</p> </li> <li> <p>Themed summary of the responses given in the guided conversations – deidentified.docx (de-identified outcomes of the guided conversations)</p> <ul> <li> <p>Information that may lead to the identification of respondents has been redacted.</p> </li> </ul> </li> <li> <p>Global_survey_deidentified.xlsx (de-identified responses to the global survey)</p> <ul> <li> <p>This file includes de-identified responses to the survey questions. Responses that may lead to the identification of respondents have been redacted. Free text responses to questions 6, 14 and 15 have been categorised into tasks, topics and skills, respectively. </p> </li> </ul> </li> <li> <p>Bar graphs of global survey.xlsx (quantitative responses to multiple choice questions in the global survey. For some questions, respondents could choose more than one option)</p> </li> <li> <p>Tools and resources.xlsx (Tools and resources used for biocuration work and listed by the respondents of the global survey)</p> </li> <li> <p>Biocuration training course list.xlsx (formal training courses listed by respondents of the global survey)</p> </li> </ul> <p> </p>
Data from: Resource-Area-Dependence Analysis: inferring animal resource needs from home-range and mapping data
An animal's home-range can be expected to encompass the resources it requires for surviving or reproducing. Thus, animals inhabiting a heterogeneous landscape, where resource patches vary in size, shape and distribution, will naturally have home-ranges of varied sizes, so that each home-range encompasses a minimum required amount of a resource. Home-range size can be estimated from telemetry data, and often key resources, or proxies for them such as the areas of important habitat types, can be mapped. We propose a new method, Resource-Area-Dependence Analysis (RADA), which uses a sample of tracked animals and a categorical map to i) infer in which map categories important resources are accessible, ii) within which home range cores they are found, and iii) estimate the mean minimum areas of these map categories required for such resource provision. We provide three examples of applying RADA to datasets of radio-tracked animals from southern England: 15 red squirrels Sciurus vulgaris, 17 gray squirrels S. carolinensis and 114 common buzzards Buteo buteo. The analyses showed that each red squirrel required a mean (95% CL) of 0.48 ha (0.24-0.97) of pine wood within the outermost home-range, each gray squirrel needed 0.34 ha (0.11-1.12) ha of mature deciduous woodland and 0.035-0.046 ha of wheat, also within the outermost home-range, while each buzzard required 0.54 ha (0.35-0.82) of rough ground close to the home-range center and 14 ha (11-17) of meadow within an intermediate core, with 52% of them also relying on 0.41 ha (0.29-0.59) of suburban land near the home-range center. RADA thus provides a useful tool to infer key animal resource requirements during studies of animal movement and habitat use.
Social Needs and Resources in the Evaluation and Enhancement of Discharge Support
ClinicalTrials.gov study NCT04248738. IPD Sharing: NO. Countries: 1. Publications: 3.
Data from: Resource-Area-Dependence Analysis: inferring animal resource needs from home-range and mapping data
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Relationships Among Physical and Psychological Status, Social Support, Resource Utilization, Supportive Care Needs in Patients With Gynecological Cancer
ClinicalTrials.gov study NCT05776693. IPD Sharing: Not stated. Countries: 1. Publications: 0.
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OpenNeuro
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