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1,372 results for “engagement”
Dataset about engagement and tourism variables
<p>This file contains engagement data for all posts published by info.Spain in 2017. All information collected to create this dataset is public domain. This dataset provides information on posts that pursue the positioning of the Spanish national brand, as well as indicators of tourist engagement with these posts, and indicators related to tourism variables. </p>
agroBRIDGES Multi-Actor Framework Engagement Data Analysis
<p>The multi-actor framework employed in agroBRIDGES foresees the creation of a regional Multi-Actor Platform (MAP) in the 12 focal European regions and countries of the project (Beacon Regions) as well as a Stakeholder Reference Group (SRG) at European level with a view to engaging stakeholders in the project’s activities.</p> <p>In this way, this dataset contains the engagement analysis of the MAP and the SRG members that have been selected as active participants in the activities carried out in the frame of the <a href="https://www.agrobridges.eu/">agroBRIDGES</a> H2020 project, focused on building bridges between producers and consumers, thanks to the <a href="https://www.agrobridges.eu/toolbox/">agroBRIDGES Toolbox</a> developed and other supporting activities organized throughout the project. To achieve project objectives, results from MAPs and SRG management have been tracked during the first half of the project, and will continue to be monitored until the end of the project, in collaboration with all Beacon Region Leaders and the SRG Manager.</p> <p>In this first round of monitoring, with respect to the SRG, 20 stakeholders have been engaged, of which approximately 50% have had a high engagement, 30% a medium engagement, and 20% a low-to-none engagement. As part of the planned engagement analysis and based on the data provided by each of the Beacon Region Leaders, the initial and long-term number of MAP members, as well as the evolution in their level of engagement, have been monitored., getting a total of 179 MAP members currently engaged in the project. In a first evaluation, high engagement was generally achieved in approximately 80% of cases, with less engagement from some educational bodies and consumers.</p> <p>In the second round of monitoring, the MAPs were expanded to a total of 199 stakeholders in 12 countries, while the SRG synthesis remained unchanged. The activities of the project supported higher engagement of the MAPs, while collaboration with the SRG continued in an ad hoc basis, as pan-European activities were less frequently organised than regional ones.</p> <ul> <li>The countries involved are: <ul> <li>Denmark</li> <li>Finland</li> <li>France</li> <li>Greece</li> <li>Ireland</li> <li>Italy</li> <li>Latvia</li> <li>Lithuania</li> <li>Netherlands</li> <li>Poland</li> <li>Spain</li> <li>Turkey</li> </ul> </li> </ul> <p>The dataset contains:</p> <ul> <li><strong>agroBRIDGES_StakeholderEngagement_2022.12.27_v1</strong>: Spreadsheet in .xlsx format, containing a table with all MAP members, classified by type of organization, country, and including the level of engagement of each of them.</li> <li><strong>agroBRIDGES_StakeholderEngagement_2022.12.27_v1</strong>: Spreadsheet in .xlsx format, containing a table with all MAP members, classified by type of organization, country, and including the level of engagement of each of them.</li> <li><strong>agroBRIDGES_StakeholderEngagement_2023.12.19_v2</strong>: Spreadsheet in .xlsx format, containing a table with all MAP members, classified by type of organization, country, and including the level of engagement of each of them. The data is updated up to December 2023.</li> <li><strong>agroBRIDGES_MAP-Engagement_2023.12.19_v2:</strong> Spreadsheet in .xlsx format, where all MAP Engagement data are collected, classified by country. This file also includes a tab with indicators of how the level of engagement has been assigned. The data is updated up to December 2023.</li> <li><strong>agroBRIDGES_SRG-Engagement_2022.12.27_v1</strong>: Spreadsheet in .xlsx format, where all data concerning SRG Engagement is collected. This file also includes a tab with indicators of how the level of engagement has been assigned.</li> </ul>
A Dataset for Engagement Prediction in Neuromotor Disorder Patients during Rehabilitation
<p>This dataset is related to the work titled "Artificial Intelligence Tools for Engagement Prediction in Neuromotor Disorder Patients undergoing Robot-Assisted Rehabilitation," whose aim is to methodologically explore the performance of artificial intelligence algorithms applied to structured datasets made of heart rate variability (HRV) and electrodermal activity (EDA) features to predict the level of patient engagement during robot-assisted gait rehabilitation (RAGR).</p> <p>It is composed of three Excel files related to the 3-minute windows data augmentation scenario applied to the bimodal dataset made of 14 HRV and 19 EDA features. Specifically:</p> <ul> <li>ds_bimodal_win_3min.xlsx contains the features extracted from 3-minute windows of HRV and EDA signals, recorded during the RAGR activity, and normalized with respect to the reference (baseline) signals. Features are not z-scored.</li> <li>labels_self_win_3min contains one single column with, for each row, the label related to the self-perceived engagement classification target. </li> <li>labels_therapist_win_3min contains one single column with, for each row, the label related to the therapist-perceived engagement classification target.</li> </ul> <p>The coding of classes for both classification targets is:</p> <ul> <li>0: Underchallenged</li> <li>1: Minimally Challenged</li> <li>2: Challenged</li> </ul>
Literature review of the enablers and barriers to stakeholder and citizen engagement in climate change adaptation process (as part of Adaptation AGORA project)
<p>This dataset is the result of collaborative work for Deliverable 4.1 (WP4; T4.1) of the Adaptation AGORA project. This database was used to conduct a literature review of the enablers and barriers to stakeholder and citizen engagement in climate change adaptation process. It contains 123 papers retrived from Web of Science Databse in June 2023. <span>We used a keyword search to identify and select articles that fell within the scope of our research, with each article containing at least one keyword related to climate change adaptation solutions, climate change, co-production, citizen and stakeholder involvement and factors (enablers and barriers). </span></p> <p><span>We divided the coding framework into four main sections:</span></p> <ul> <li> <p><span>Section 1 collected basic information about the paper (i.e., date, journal, authors, type of study and methods for data collection). </span></p> </li> <li> <p><span>Section 2 sought to better understand the adaptation initiatives treated in the paper. Here, we analysed 5 variables (the adaptation solutions type, sectors, benefits, scale, and location). </span></p> </li> <li> <p><span>Section 3 collected characteristics of the climate change adaptation co-production process, including the definition of co-production, the type of the co-production process, its outputs, and the methods used to engage stakeholders. </span></p> </li> <li> <p><span>Section 4 described the factors that enable or hinder the co-production process and their influence on different aspects of the process. After naming and defining each driver, we recorded the main type of factor, its impact, origin, and spatial and temporal scale of influence; the stakeholders who were responsible for and influenced by the factor, and the impacts on the various steps and outcomes of the co-production process.</span></p> <span> </span></li> </ul>
Multi-level stakeholder engagement
<p>Visualisation indicating the multi-level stakeholder process pursued in e-SAFE. The visualisation indicates how different stakeholder engagement processes are linked together.</p> <p>The Advisory Board gives advice about the design and implementation of the real pilot in Catania (where one building is renovated with the e-SAFE technical solution) as well as the co-design and stakeholder engagement protocol. These protocols are informed by the results from the real pilot in Catania, and tested in two virtual pilots in other seismic prone cities outside of Italy. </p> <p>The EU-stakeholder forum exchanges feedback and information with the real and virtual pilots, and gets access to the co-design and stakeholder engagement protocol. In that way, local, regional and European level stakeholders are engaging with the e-SAFE project.</p>
Quantitative raw data for D1.3 - "Requirements and motivations of quadruple helix stakeholders for active engagement in the Citizen Science"
<p>This dataset presents the quantitative raw data that was collected under the H2020 INCENTIVE project for the D1.3 - “Requirements and motivations of quadruple helix stakeholders for active engagement in the Citizen Science Hubs”. The dataset includes the answers that were provided by almost 2,000 participants from 4 pilot European countries (Greece, Lithuania, Spain, and the Netherlands) regarding the general public's perceptions, attitudes, concerns, motivational factors and obstacles with regard to participation in Citizen Science activities. The original survey questionnaire was created and disseminated through the EUSurvey platform, and data collection took place from April to June 2021. For the statistical analysis of the data and the conclusions drawn from the analysis, you can access the D1.3 - "Requirements and motivations of quadruple helix stakeholders for active engagement in the Citizen Science Hubs”.</p> <p>Under INCENTIVE, four Citizen Science Hubs will be established and tested during the life-span of the project in the facilities of four Research Performing and Funding Organisations (RPFOs): University of Twente (the Netherlands), Autonomous University of Barcelona (Spain), Aristotle University of Thessaloniki (Greece) and Vilnius Gediminas Technical University (Lithuania). Essentially, the Hubs will aim to bring different stakeholders together and bridge society with science under the emerging paradigm of Citizen Science, in an institutionalised way.</p>
"Dynamics of Endothelial Engagement and Filopodia Formation in Complex 3D Microscaffolds" : Raw Data
<p>Raw data of the paper "Dynamics of Endothelial Engagement and Filopodia Formation in Complex 3D Microscaffolds", <strong> </strong> International Journal of Molecular Sciences, 2022.</p> <p><strong>Abstract: </strong>The understanding of endothelium–extracellular matrix interactions during the initiation of new blood vessels is of great medical importance; however, the mechanobiological principles governing endothelial protrusive behaviours in 3D microtopographies remain imperfectly understood. In blood capillaries submitted to angiogenic factors (such as vascular endothelial growth factor, VEGF), endothelial cells can transiently transdifferentiate in filopodia-rich cells, named tip cells, from which angiogenesis processes are locally initiated. This protrusive state based on filopodia dynamics contrasts with the lamellipodia-based endothelial cell migration on 2D substrates. Using two-photon polymerization, we generated 3D microstructures triggering endothelial phenotypes evocative of tip cell behaviour. Hexagonal lattices on pillars (“open”), but not “closed” hexagonal lattices, induced engagement from the endothelial monolayer with the generation of numerous filopodia. The development of image analysis tools for filopodia tracking allowed to probe the influence of the microtopography (pore size, regular vs.<em> </em>elongated structures, role of the pillars) on orientations, engagement and filopodia dynamics, and to identify MLCK (myosin light-chain kinase) as a key player for filopodia-based protrusive mode. Importantly, these events occurred independently of VEGF treatment, suggesting that the observed phenotype was induced through microtopography. These microstructures are proposed as a model research tool for understanding endothelial cell behaviour in 3D fibrillary networks.</p>
Gamification in Software Engineering: The Mediating Role of Developer Engagement and Job Satisfaction
<p>Replication package with covariance matrices (instead of original dataset) and R script.</p>
Data for Academic Engagement among students
<p>SPSS Data set for an original study carried out in 2019-2020 in which academic engagement was measured using a modified work engagement scales, and looked at three domains: dedication, absorption, vigor. A number of individual, psychological and institutional level variables were explored with regard to academic engagement. </p>
Supporting Data: Do spatial climate messages increase pro-environmental engagement? Evidence from a survey experiment on public transport
<p>Additional material for the paper:</p> <p>Victor von Loessl, Eva Weingärtner & Sonja Zitzelsberger (2022) Do spatial climate messages increase pro-environmental engagement? Evidence from a survey experiment on public transport, Journal of Environmental Economics and Policy, DOI: 10.1080/21606544.2022.2097960</p>
Data from: Does losing reduce the tendency to engage with rivals to reach mates? An experimental test
<p>Male-male contests for access to females or breeding resources is critical in determining male reproductive success. Larger males and those with more effective weaponry are more likely to win fights. However, even after controlling for such predictors of fighting ability, studies have reported a winner-loser effect: previous winners are more likely to win subsequent contests, while losers often suffer repeated defeats. While the effect of winning-losing is well-documented for the outcome of future fights, its effect on other behaviors (e.g., mating) remains poorly investigated. Here, we test whether a winning versus losing experience influenced subsequent behaviors of male mosquitofish (<em>Gambusia holbrooki</em>) towards rivals and potential mates. We housed focal males with either a smaller or larger opponent for 24 hours to manipulate their fighting experience to become winners or losers, respectively. The focal males then underwent tests that required them to enter and swim through a narrow corridor to reach females, bypassing a cylinder that contained either a larger rival male (competitive scenario), a juvenile or was empty (non-competitive scenarios). The tests were repeated after one week. Winners were more likely to leave the start area and to reach the females, but only when a larger rival was presented, indicating higher levels of risk-taking behavior in aggressive interactions. This winner-loser effect persisted for at least one week. We suggest that male mosquitofish adjust their assessment of their own and/or their rival's fighting ability following contests in ways whose detection by researchers depends on the social context.</p>
Data for "The Role of Mood and Stress in Physical Activity Engagement: Insights from Ecological Momentary Assessment
<p>Data collected in the SmartPA study in a joint effort from the Department of Psychology at the University of Salzburg (Jens Blechert) and the Ludwig Boltzmann Institute for Digital Health and Prevention Salzburg.</p>
Figure 1 in Developing biosecurity plans for non-native species in marine dependent areas: the role of legislation, risk management and stakeholder engagement
Figure 1. Five-stage approach for risk assessment management of NNS in Shetland, adapted from the ecosystem-based risk management framework (Cormier et al. 2013).
Dataset: Brand Engagement Network, Inc. (BNAI) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Brand Engagement Network, Inc. (BNAIW) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
FIGURE 8 in The Belgrade PaleoBlitz: A pilot project to engage amateur paleontologists
FIGURE 8. Social network graphs of myFOSSIL. (1) friendships on myFOSSIL.org with the FOSSIL Project staff (blue triangles), PaleoBlitz participants (orange circles), and myFOSSIL members (purple squares). (2) Friendships on myFOSSIL.org between PaleoBlitz participants and myFOSSIL members, without the FOSSIL Project staff. Created on NodeXL Pro (http://nodexl.codeplex.com) from the Social Media Research Foundation (http://www.smrfoundation.org).
FIGURE 6 in The Belgrade PaleoBlitz: A pilot project to engage amateur paleontologists
FIGURE 6. Changes made by participants to their existing collections two months after the PaleoBlitz.
FIGURE 4 in The Belgrade PaleoBlitz: A pilot project to engage amateur paleontologists
FIGURE 4. Self-perceived knowledge regarding the museum curation process, from the point a fossil enters the museum until it is recorded in a collection, prior to the PaleoBlitz. (1) responses from all applicants (N=23) and (2) responses from applicants selected to participate in the PaleoBlitz (N=13).
FIGURE 2 in The Belgrade PaleoBlitz: A pilot project to engage amateur paleontologists
FIGURE 2. Flow chart indicating the alignment of data collection methods to the program goals. Desired outcomes are aligned to each goal: adoption of best practices throughout the museum curation process (Improved Practice); support the practice of paleontology by increasing confidence and expanding participants' personal paleontology network (Sustained Practice); and improve the structure of the PaleoBlitz through participant feedback (Refined Design).
FIGURE 1 in The Belgrade PaleoBlitz: A pilot project to engage amateur paleontologists
FIGURE 1. Participants engaging in the museum curation process during the PaleoBlitz: (1) participants working together to identify and catalog specimens from the Belgrade Quarry; (2) collaborative collecting in Possum Creek, Gainesville, Florida; (3) PaleoBlitz participant and FLMNH staff discussing fossil identifications; (4) field sorting specimens; and (5) experiencing curation and exhibiting practices in the Gordon Hubbell collection. Photographs by Jeff Gage.
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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.