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412 results for “SCOPE”
Dataset: Scoping the Open Science Infrastructure Landscape in Europe
<p>"We see a diverse, interconnected, open, professional and viable, developing OS ecosystem in Europe on solid ground; one that is worth investing in. At the same time, this developing ecosystem faces a range of issues that challenge its path to a more open and sustainable future." This is a core conclusion of a new SPARC Europe report; the work is a result of a recent in-depth survey of infrastructure and/or services that are part of the European Open Science infrastructure (OSI) landscape. This dataset supports that work. </p> <p>The dataset is licensed CC0.</p>
Sibship reconstruction with SNPs illuminates the scope of a cryptic invasion of Asian Swamp Eels (Monotperus albus) in Georgia, USA
<p>Cryptic invasive species are particularly problematic to study, manage, and control because of the difficulty detecting these species within their invaded habitats. Such is the case of the Asian Swamp Eel (<i>Monopterus albus</i>; ASE) where it is established in vegetated marshes along the Chattahoochee River, Georgia. Adult eels have been nearly impossible to detect or quantify with traditional sampling, although leaf-litter trapping of juvenile ASEs has been somewhat successful.In this study, we leveraged a collection of juveniles from the 2015 cohort and used single-nucleotide polymorphisms (SNPs) to reconstruct sibship among these juveniles in COLONY. Sibship reconstruction allowed us to learn about adult breeding behaviors and provided the first quantified estimates of breeder abundance. Pedigree reconstruction revealed that adults of both sexes were polygamous and likely traveled up to 0.5 km among marsh habitats during a single breeding season. Estimates of the number of breeding adults contributing to offspring (<i>N<sub>s</sub></i>) and the effective number of breeders (<i>N<sub>b</sub></i>) indicated an approximate minimum bound of 100 breeding adults in the marshes in 2015. Our study updated the invasion status of a cryptic population formerly riddled with uncertainty, highlighting that low captures of adult eels in the study area have been the result of low detectability, not low abundance. Given that low detectability would likely hinder removal efforts, our results suggest that future efforts could focus on suppression of ASE abundance when they are most vulnerable to capture and containing the spatial extent of the invasion.</p>
Data from: National monitoring and evaluation of eHealth: a scoping review
Objective: There has been substantial growth in eHealth over the past decade, driven by expectations of improved healthcare system performance. Despite substantial eHealth investment, little is known about the monitoring and evaluation strategies for gauging progress in terms of eHealth availability and use. This scoping review aims to map the existing literature and depict the predominant approaches and methodological recommendations to national and regional monitoring and evaluation of eHealth availability and use in order to advance national strategies for monitoring and evaluating eHealth. Methods: Peer-reviewed and grey literature on monitoring and evaluation of eHealth availability and use, published between January 1st, 2009, to March 11th, 2019, were eligible for inclusion. 2,354 publications were identified, and 36 publications were included after full-text review. Data on publication type (e.g. empirical research), country, level (national or regional), publication year, method (e.g. survey), and domain (e.g., Provider-centric electronic record) was charted. Results: The majority of publications monitored availability alone or applied a combination of availability and use measures. Surveys were the most common data collection method (used in 86% of the publications). OECD, European Commission, Canada Health Infoway, and WHO have developed comprehensive eHealth monitoring and evaluation methodology recommendations. Discussion: Establishing continuous national eHealth monitoring and evaluation, based on international approaches and recommendations, could improve the ability for cross-country benchmarking and learning. This scoping review provides an overview of the predominant approaches and recommendations to national and regional monitoring and evaluating eHealth and thereby provides a starting point for developing national eHealth monitoring strategies.
The Molecular Diversity Scope of Oxindole Derivatives in Organic Synthesis
<p>The role of oxindole derivatives is discussed as starting materials in diverse organic reactions including two and more components between the years 2014 until 2020. Oxindoles are famous because of their biological properties for instance chromanone-fused polycyclic pyrrolidinyl-dispirooxindoles, functionalized polycyclic spiro-fused carbocyclicoxindole, and 3,3-disubstituted oxindoles have anti-cancer, anti-tumor, and anti-microbial properties, respectively. Therefore, various methods for synthesizing the oxindole structures have received more attention in organic chemistry.</p>
Scope for growth data
<p>This data set was used to calculate the energy budget and to calculate scope for growth for ecological engineers (intertidal mussels) comparing those that are affected by endolithic cyanobacterial parasites and clean intertidal mussels. It has data for growth, both whole body and shell biomineralization, and the reproductive potential of infested individuals. There is also data for components of scope for growth, feeding rates, ammonium exctretion, standard metabolic rates and lethal temperature measurements data.</p>
Data from: Immune-challenged fish up-regulate their metabolic scope to support locomotion
Energy-based trade-offs occur when investment in one fitness-related trait diverts energy away from other traits. The extent to which such trade-offs are shaped by limits on the rate of conversion of energy ingested in food (e.g. carbohydrates) into chemical energy (ATP) by oxidative metabolism rather than by the amount of food ingested in the first place is, however, unclear. Here we tested whether the ATP required for mounting an immune response will lead to a trade-off with ATP available for physical activity in mosquitofish (Gambusia holbrooki). To this end, we challenged fish either with lipopolysaccharide (LPS) from E. coli or with Sheep Red Blood Cells (SRBC), and measured oxygen consumption at rest and during swimming at maximum speed 24h, 48h and 7 days post-challenge in order to estimate metabolic rates. Relative to saline-injected controls, only LPS-injected fish showed a significantly greater resting metabolic rate two days post-challenge and significantly higher maximal metabolic rates two and seven days post-challenge. This resulted in a significantly greater metabolic scope two days post-challenge, with LPS-fish transiently overcompensating by increasing maximal ATP production more than would be required for swimming in the absence of an immune challenge. LPS-challenged fish therefore increased their production of ATP to compensate physiologically for the energetic requirements of immune functioning. This response would avoid ATP shortages and allow fish to engage in an aerobically-challenging activity (swimming) even when simultaneously mounting an immune response. Nevertheless, relative to controls, both LPS- and SRBC-fish displayed reduced body mass gain one week post-injection, and LPS-fish actually lost mass. The concomitant increase in metabolic scope and reduced body mass gain of LPS-challenged fish indicates that immune-associated trade-offs are not likely to be shaped by limited oxidative metabolic capacities, but may instead result from limitations in the acquisition, assimilation or efficient use of resources.
SMob scoping review data for Zenodo upload
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EEG datasets for healthcare: a scoping review - Data and Code
<p>This repository contains the data extracted for the scoping review "EEG datasets for healthcare: a scoping review" and the code used in the analysis.</p><p> </p>
A scoping review exploring vocational rehabilitation interventions for mental health service users with chronic mental illness in low-income to upper-middle-income countries
<p class="MsoNormal"><strong><span>Objective</span></strong></p> <p class="MsoNormal"><span>To synthesize research published on vocational rehabilitation (VR) interventions offered in institutions, by occupational therapists, to mental health service users (MHSUs) with chronic mental illness, in low-income to upper middle-income countries (L-UMIC).</span></p> <p class="MsoNormal"><strong><span>Design</span></strong></p> <p class="MsoNormal"><span>This scoping review used Arksey and O'Malley's methodological framework, the Preferred Reporting Items for Systematic Reviews extension for Scoping Reviews (PRISMA-ScR) and Joanna Briggs scoping review guidelines. </span></p> <p class="MsoNormal"><strong><span>Data Sources</span></strong></p> <p class="MsoNormal"><span>We searched PsycInfo, EBSCOhost, HINARI, Google scholar, Medline, CINAHL, PubMed, Cochrane Library, Scopus, Science Direct and Wiley online library between 15 July and 31 August 2021. </span></p> <p class="MsoNormal"><strong><span>Eligibility Criteria</span></strong></p> <p class="MsoNormal"><span>Sources, published in English between 2011 and 2021, on institution-based VR in occupational therapy for MHSUs who had chronic mental illness in L-UMIC were included. We included primary studies of any design.</span></p> <p class="MsoNormal"><strong><span>Data extraction and synthesis</span></strong></p> <p class="MsoNormal"><span>Three reviewers used Mendeley to manage identified references, Rayyan for abstract and full text screening, and Microsoft Excel for data extraction. Data was sifted and sorted by key categories and themes.</span></p> <p class="MsoNormal"><strong><span>Results</span></strong></p> <p class="MsoNormal"><span>895 sources were identified, and their title and abstracts reviewed. 207 sources were included for full text screening. 12 articles from 4 countries (South Africa, India, Brazil & Kenya) were finally included. Types of VR intervention included supported employment, case management and prevocational </span><span>skills training. Client centeredness, support and empowerment were the key VR principles identified. Teaching of illness self-management, job analysis and matching, job coaching, trial placement, and vocational guidance and counseling, were the main intervention strategies reported.</span></p> <p class="MsoNormal"><strong><span>Conclusions </span></strong></p> <p class="MsoNormal"><span>VR intervention in institutions for MHSUs in L-UMIC revealed the multidimensional uniqueness of individual MHSU's vocational ability, needs and contexts. The interventions allowed client-centered approaches that offer support, and empowerment beyond the boundaries of the institutions. Occupational therapists offering VR need to expand their interventions beyond their institutions to contexts where MHSUs are working or intending to work.</span></p>
Caron_HOE_Legacy3_SCOPE
<p>This dataset is from the SCOPE HOE Legacy 3 cruise conducted in March 2016. The goal was to characterize the gene expression patterns of protists from different depths (Surface, DCM, 150 m, and 1000 m). Metatranscriptomes were produced from a size fraction designed to preferentially select for protists (>0.7µm), and used to investigate spatiotemporal shifts in metabolic priorities.</p>
ExioML: Emission Factor Database for Scope 3 Emission Estimation Machine Learning Benchmarks
<h1>🙋‍♂️ Introduction</h1> <p>ExioML is the first ML-ready benchmark dataset in eco-economic research, designed for global sectoral sustainability analysis. It addresses significant research gaps by leveraging the high-quality, open-source EE-MRIO dataset ExioBase 3.8.2. ExioML covers 163 sectors across 49 regions from 1995 to 2022, overcoming data inaccessibility issues. The dataset includes both factor accounting in tabular format and footprint networks in graph structure.</p> <p>We demonstrate a GHG emission regression task using a factor accounting table, comparing the performance of shallow and deep models. The results show a low Mean Squared Error (MSE), quantifying sectoral GHG emissions in terms of value-added, employment, and energy consumption, validating the dataset's usability. The footprint network in ExioML, inherent in the multi-dimensional MRIO framework, enables tracking resource flow between international sectors.</p> <p>ExioML offers promising research opportunities, such as predicting embodied emissions through international trade, estimating regional sustainability transitions, and analyzing the topological changes in global trading networks over time. It reduces barriers and intensive data pre-processing for ML researchers, facilitates the integration of ML and eco-economic research, and provides new perspectives for sound climate policy and global sustainable development.</p> <h1>📊 Dataset</h1> <p>ExioML supports graph and tabular structure learning algorithms through the Footprint Network and Factor Accounting table. The dataset includes the following factors in PxP and IxI:</p> <p>- Region (Categorical feature)<br>- Sector (Categorical feature)<br>- Value Added [M.EUR] (Numerical feature)<br>- Employment [1000 p.] (Numerical feature)<br>- GHG emissions [kg CO2 eq.] (Numerical feature)<br>- Energy Carrier Net Total [TJ] (Numerical feature)<br>- Year (Numerical feature)</p> <h2>☁️ Factor Accounting</h2> <p>The Factor Accounting table shares common features with the Footprint Network and summarizes the total heterogeneous characteristics of various sectors.</p> <h2>🚞 Footprint Network</h2> <p>The Footprint Network models the high-dimensional global trading network, capturing its economic, social, and environmental impacts. This network is structured as a directed graph, where directionality represents sectoral input-output relationships, delineating sectors by their roles as sources (exporting) and targets (importing). The basic element in the ExioML Footprint Network is international trade across different sectors with features such as value-added, emission amount, and energy input. The Footprint Network helps identify critical sectors and paths for sustainability management and optimization. The Footprint Network is hosted on Zenodo.</p> <h1>🔗 Code and Data Availability</h1> <p>The ExioML development toolkit in Python and the regression model used for validation are available on the GitHub repository: (https://github.com/YVNMINC/ExioML). The complete ExioML dataset is hosted by Zenodo: (https://zenodo.org/records/10604610).</p> <h1>💡 Additional Information</h1> <p>More details about the dataset are available in our paper: *ExioML: Eco-economic dataset for Machine Learning in Global Sectoral Sustainability*, accepted by the ICLR 2024 Climate Change AI workshop: (https://arxiv.org/abs/2406.09046).</p> <h1>📄 Citation</h1> <pre>@article{guo2024exioml, title={ExioML: Eco-economic dataset for Machine Learning in Global Sectoral Sustainability}, author={Guo, Yanming and Guan, Charles and Ma, Jin}, journal={arXiv preprint arXiv:2406.09046}, year={2024} }</pre> <h1>🌟 Reference</h1> <p>Stadler, Konstantin, et al. "EXIOBASE 3." Zenodo. Retrieved March 22 (2021): 2023.</p>
Corpus of Articles Included for Are social studies on e-bikes gaining traction? A scoping review
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Breaking Barriers to Carbon Capture and Storage: An Integrated Analysis of Scope, Information and Familiarity Effects on Willingness to Pay
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Supplementary data for the publication entitled "Second life for recycled concrete and other construction and demolition waste in mortars for masonry: full scope of material properties, performance, and environmental aspects"
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Simple example to show STEMMUS_SCOPE & MODFLOW 6 BMI coupling
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Database files 1 for network described in "Expanding the scope of a catalogue search to bioisosteric fragment merges using a graph database approach"
<p>Contains part 1/2 of the database files required for running the database described in "Expanding the scope of a catalogue search to bioisosteric fragment merges using a graph database approach" that can be run with https://github.com/stephwills/docker-neo4j.</p>
Database files 2 for network described in "Expanding the scope of a catalogue search to bioisosteric fragment merges using a graph database approach"
<p>Contains part 2/2 of the database files required for running the database described in "Expanding the scope of a catalogue search to bioisosteric fragment merges using a graph database approach" that can be run with https://github.com/stephwills/docker-neo4j.</p>
Supplementary material 1 from: Patterson DJ (2022) The scope and scale of the life sciences ('Nature's envelope'). Research Ideas and Outcomes 8: e96132. https://doi.org/10.3897/rio.8.e96132
Patterson Nature's envelope (template)
Safety and Effectiveness of the Peregrine Drivable ENT Scope for Endoscopy of the Paranasal Sinuses
ClinicalTrials.gov study NCT04096482. IPD Sharing: YES. Countries: 1. Publications: 0.
Post Market Evaluation of Aer-O-Scope Visualization
ClinicalTrials.gov study NCT02926209. IPD Sharing: NO. Countries: 2. Publications: 0.
ScienceDex guides
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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.