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772 results for “Well-being”
COVID-19 German Student Well-being Study (C19 GSWS)
<p><strong>COVID-19 German Student Well-being Study (C19 GSWS)</strong></p> <p>Following the COVID-19 International Student Well-being Study (C19 ISWS; survey phase: May 13<sup>th</sup>, 2020 to May 29<sup>th</sup>, 2020 in 27 European countries coordinated by the University of Antwerp), well-being of university students during the COVID-19 pandemic continued to be the focus of the collaborative COVID-19 German Student Well-being Study (C19 GSWS) which was conducted at five universities in Germany.</p> <p> </p> <p>The five German universities taking part in the study were the Charité – Universitätsmedizin Berlin (PI: Prof. Christiane Stock), the University of Bremen (PI: Dr. Heide Busse), Heinrich-Heine-University Duesseldorf (PI: Prof. Claudia Pischke), University of Siegen (PI: Prof. Claus Wendt) and Martin-Luther University Halle-Wittenberg (PI: Prof. Rafael Mikolajczyk).</p> <p> </p> <p>The following research questions were addressed:</p> <p> </p> <p>- How did university students' (physical and socioeconomic) living conditions and academic workload change during the COVID-19 pandemic?</p> <p>- How were living and study conditions associated with mental health outcomes among university students during the COVID-19 pandemic?</p> <p>- How were living conditions and academic workload associated with health behaviours (e.g., substance use) among university students during the pandemic?</p> <p>- Which attitudes towards COVID-19 vaccination and determinants of vaccination behavior were prevalent r among university students?</p> <p> </p> <p>To answer the research questions, an online survey among university students was conducted at all participating universities from October 27<sup>th</sup>, 2021 to November 14<sup>th</sup>, 2021. The resulting data allow for a description of living conditions, as well as well-being, during the ongoing COVID-19 pandemic in German university student populations.</p> <p> </p> <p>Information about C19 ISWS on Zenodo:</p> <p>https://zenodo.org/communities/c19-isws/?page=1&size=20</p>
Dataset - DeepWealth: A Generalizable Open-Source Deep Learning Framework using Satellite Images for Well-Being Estimation
<p>This dataset encapsulates the Checkpoints obtained during the training process of the Deep Learning model, which can be used for new estimations.</p> <p>The aim of the DeepWealth package is to provide a generalizable Deep Learning framework for the use of remote sensing in poverty estimation. The combination of Deep Learning and Earth Observation data is increasingly being used to estimate socioeconomic conditions at regional and global scales. The proposed framework aligns with the Sustainable Development Goal SDG1 of ending poverty. The framework provides open-source data, code, and training models (checkpoints) for reproducibility and replicability.</p> <ul> <li>The source code can be found in <a href="https://github.com/PARSECworld/DeepWealth" target="_blank" rel="noopener">https://github.com/PARSECworld/DeepWealth</a></li> <li>The metadata from source code can be found in <a href="https://github.com/PARSECworld/DeepWealth/blob/main/metadata.pdf" target="_blank" rel="noopener">https://github.com/PARSECworld/DeepWealth/blob/main/metadata.pdf</a></li> <li>The paper describing the development of this framework can be found at: Ben Abbes, A., Machicao, J., Corrêa, P. L. P., Specht, A., Devillers, R., Ometto, J. P., Kondo, Y., & Mouillot, D. (2024). DeepWealth: A generalizable open-source deep learning framework using satellite images for well-being estimation. <em>SoftwareX</em>, 27, 101785. <a href="https://doi.org/10.1016/j.softx.2024.101785">https://doi.org/10.1016/j.softx.2024.101785</a> </li> </ul>
How Can Subjective Well-being be Increased? The Role of Social Comparison and Subjective Financial Well-Being
<p><strong>Data Dictionary :</strong></p> <p>CFA = Confirmatory factor analysis</p> <p>Finwell = SFW = Financial well being</p> <p>CS = PK =social comparison</p> <p>IFLS = Indonesian Family Life Survey</p> <p> </p> <p> </p>
LivWell: a sub-national database on the Living conditions of Women and their Well-being for 52 countries
<p>LivWell is a global longitudinal database which provides a range of key indicators related to women’s socioeconomic status, health and well-being, access to basic services, and demographic outcomes. Data are available at the sub-national level for 52 countries and 447 regions. A total of 134 indicators are based on 199 Demographic and Health Surveys for the period 1990-2019, supplemented by extensive information on socioeconomic and climatic conditions in the respective regions for a total of 190 indicators. The resulting data offer various opportunities for policy-relevant research on gender inequality, inclusive development, and demographic trends at the sub-national level.</p> <p>For a full description, please refer to the article describing the database here: (link to come)</p> <p>The companion repository <em>livwelldata </em>allows to easily use the database in R. The R package can be downloaded following the instructions on the following git repository: https://gitlab.pik-potsdam.de/belmin/livwelldata. The version of the database in the package is the same as in this repository.</p>
Data on public perceptions of, attitudes towards, and values for managing urban green infrastructure for carbon, biodiversity, and well-being outcomes in Helsinki, Finland
<p>A public participatory GIS -survey dataset detailing public perceptions of, attitudes towards, and values for managing urban green infrastructure for carbon, biodiversity, and well-being outcomes in Helsinki, Finland.</p>
Well-being and Productivity of Software Professionals during a Pandemic
<p>The COVID-19 pandemic has forced governments worldwide to impose movement restrictions on their citizens. Although critical to reducing the virus' reproduction rate, these restrictions come with far-reaching social and economic consequences. In this paper, we investigate the impact of these restrictions on an individual level among software engineers currently working from home. Although software professionals are accustomed to working with digital tools in their day-to-day work, the abrupt and enforced work-from-home context has resulted in an unprecedented scenario for the software engineering community. In a two-wave longitudinal study (N = 192), we covered over 50 psychological, social, situational, and physiological factors that have previously been associated with well-being or productivity. Examples include anxiety, distractions, psychological and physical needs, office set-up, stress, and work motivation. This design allowed us to identify those variables that explain unique variance in well-being and productivity. Results include (1) the quality of social contacts predicted positively, and stress predicted an individual's well-being negatively when controlling for other variables consistently across both waves; (2) boredom and distractions predicted productivity negatively; (3) productivity was less strongly associated with all predictor variables at time two compared to time one, suggesting that software engineers adapted to the lockdown situation over time; and (4) the longitudinal study did not provide evidence that any predictor variable causal explained variance in well-being and productivity. Overall, we conclude that working from home was <em>per se</em> not a significant challenge for software engineers. Our study can assess the effectiveness of current work-from-home and general well-being and productivity support guidelines and provide tailored insights for software professionals.</p> <p> </p>
Well-being at the Frontlines: Leadership Strategies for Building Up Strong Resources Among Emergency Responders: Online Supplement
<p>This is the online supplement for a mixed-methods article on resource-oriented leadership in emergency organizations.</p> <p><em>Abstract: </em>Repeated exposure to extreme events and other demanding missions can erode protective resources among emergency responders, causing health problems that, in turn, jeopardize their readiness and performance. Using a mixed-methods approach, this article examines how leaders of emergency responders can systematically maintain and even enhance their subordinates’ well-being. To identify effective leadership strategies, we conducted in-depth interviews with 25 fire chiefs, 25 platoon leaders, and 26 subordinates from the German fire services. Employing the critical incident technique, we explored leadership processes both during emergency situations and during interim phases (training, standby time, etc.). Person-oriented leadership (developing, group-serving, and caring behavior) was described as fostering various resource gains, while task-oriented leadership (directive and problem-solving behavior) was reported to mitigate resource threats. Moreover, the interviews underscore the importance of interim phases in enhancing well-being. A cross-sectional survey with firefighters and members of a technical relief organization (N = 459) supported the qualitative findings. We integrate our results into a framework that links leadership in emergency organizations to subordinates’ well-being and readiness in demanding work contexts. Moreover, we discuss the generalizability of our results to other high-risk work contexts. </p> <p>The study was approved by the ethics committee of the Faculty of Psychology & Sports Science of [institution anonymized for review].</p> <p><br>This online supplement includes</p> <ul> <li>STUDY1_GermanFireServices.pdf: Description of the organizational differences between volunteer and professional firefighters in Germany</li> <li>STUDY1_InterviewGuides.pdf: All interview guides used in Study 1 (English translations)</li> <li>STUDY1_CI-summaries.pdf: Short summaries of all critical incidents collected in Study 1</li> <li>STUDY1_AnalysisDetails.pdf: Supplementary material on the qualitative analysis of the interviews conducted in Study 1</li> <li>STUDY2_Codebook.xlsx: a codebook describing all instructions and items of Study 2</li> <li>rawData_Study2.csv: raw data of Study 2 (anonymised; the raw data contains only the information of persons who were included in the analysis and have agreed to it.)</li> <li>STUDY2_AnalysisScript.R: An analysis script based on R</li> <li>STUDY2_Supplemental-Analyses.pdf: supplemental analyses including comparisons between final sample and dropout, comparisons between subgroups, detailed descriptive analyses</li> </ul>
District level health and well-being data
<p>Self-reported health and well-being data collected in the Living Labs district and in a control district of the Front Runner Cities of proGIreg project (Dortmund: Huckarde and Mengede districts; Turin: Mirafiori Sud and Barriera di Milano districts; Zagreb: Sesvete and Špansko-Jug districts), before and after the project NBS implementations (2019 and 2022). More details about methodology are reported in Baldacchini, C. (2019): Monitoring and Assessment Plan, Deliverable No. 4.1, proGIreg. Horizon 2020 Grant Agreement No 776528, European Commission, 124.</p> <p>More details about results are reported in: Baldacchini, C., Calfapietra, C. (2023): Living Labs impact at the district level, Deliverable No.4.8, proGIreg. Horizon 2020 Grant Agreement No 776528, European Commission, pp 93.</p>
Replication Package of Understanding Developers Well-Being and Productivity: a 2-year Longitudinal Analysis during the COVID-19 Pandemic
<p>The COVID-19 pandemic has brought significant and enduring shifts in various aspects of life, including increased flexibility in work arrangements. In a longitudinal study, spanning 24 months with six measurement points from April 2020 to April 2022, we explore changes in well-being, productivity, social contacts, and needs of software engineers during this time. Our findings indicate systematic changes in various variables. For example, well-being and quality of social contacts increased while emotional loneliness decreased as lockdown measures were relaxed. Conversely, people's boredom and productivity, remained stable. Furthermore, a preliminary investigation into the future of work at the end of the pandemic revealed a consensus among developers for a preference of hybrid work arrangements. We also discovered that prior job changes and low job satisfaction were consistently linked to intentions to change jobs if current work conditions do not meet developers' needs. This highlights the need for software organizations to adapt to various work arrangements to remain competitive employers. Building upon our findings and the existing literature, we introduce the Integrated Job Demands-Resources and Self-Determination (IJARS) Model as a comprehensive framework to explain the well-being and productivity of software engineers during the COVID-19 pandemic.</p>
Replication Archive for "Teen Social Interactions and Well-being during the COVID-19 Pandemic"
<p><span>This archive includes the Stata code to replicate all results in the referenced paper.</span></p>
Intentional Forgetting in Organizations: The Positive Effects of Decision Support Systems on Mental Resources and Well-being
<p>This dataset contains raw data collected in an experimental study at the University of Muenster, Germany. The study is part of a larger research project and examined “intentional forgetting” effects in a simulated sales planning scenario. Intentional forgetting was operationalized via computer-based decision support system that enabled users to forget decision-relevant background information. We assumed that such intentional forgetting not only enhances decision quality but also decreases strain of decision makers and releases memory capacities for additional tasks.</p>
Dataset on Academics' Work and Well-being During the COVID-19 Pandemic
<p>The "Dataset on Academics’ Work and Well-being During the COVID-19 Pandemic" was collected through an online survey conducted between June 10 and 20, 2020, using a cloud-based survey platform.</p>
Psychological Well-being, Food Insecurity, Academic Performance, and Other Risk Factors in a Sample of College Students in Jordan during Covid-19
<p>This research investigated the occurrence of psychological well-being perception and its relationship with food insecurity, academic performance, and other correlates in a sample of university students in Amman, Jordan during Covid-19. A cross-sectional study was conducted in two phases. Phase-1 translated and validated an Arabic version of the Psychological General Wellbeing Index-Short version (PGWB-S) in 122 students from the University of Jordan. In Phase-2, 414 students completed demographic questionnaire, Arabic Versions of the PGWB-S, Ryff Psychological Wellbeing Scale, and Individual Food Insecurity Experience Scale.</p> <p>Ethical considerations: This manuscript has been read and approved by all authors. The authors confirm that there are no other persons, who satisfied the criteria for authorship, but are not listed. The order of authors listed in the manuscript has been approved by all of them. They also understand that the Corresponding Author is the sole contact for the Editorial process, and holds the responsibility for communicating with the other author about progress, submissions of revisions and final approval of proofs. Moreover, the authors declare that this manuscript is original, has not been published before, and is not currently being considered for publication elsewhere. Furthermore, all data used in the study is confidential and the lead author has full access to the data reported in the manuscript. We confirm that there are no known conflicts of interest associated with this publication, which did not receive any financial support. Finally, the reporting of this work is compliant with The Code of Ethics of the World Medical Association (Declaration of Helsinki). In addition to that, the protocol of this research is approved by the Institutional Review Board at the University of Jordan, Amman, Jordan (ref no.: 2021-89).</p>
Mobile Technology and Data Analytics to Identify Real-time Predictors of Caregiver Well-Being
ClinicalTrials.gov study NCT04556591. IPD Sharing: YES. Countries: 1. Publications: 4.
Subjective well-being across the life course among non-industrialized populations
Open the record for dataset details and reuse information.
The phantom chorus: birdsong boosts human well-being in protected areas
<p>Spending time in nature is known to benefit human health and well-being, but evidence is mixed as to whether biodiversity or perceptions of biodiversity contribute to these benefits. Perhaps more importantly, little is known about the sensory modalities by which humans perceive biodiversity and obtain benefits from their interactions with nature. Here, we used a "phantom bird song chorus" consisting of hidden speakers to experimentally increase audible birdsong biodiversity during "on" and "off" (i.e., ambient conditions) blocks on two trails to study the role of audition in biodiversity perception and self-reported well-being among hikers. Hikers exposed to the phantom chorus reported higher levels of restorative effects compared to those that experienced ambient conditions on both trails; however, increased restorative effects were directly linked to the phantom chorus on one trail and indirectly linked to the phantom chorus on the other trail through perceptions of avian biodiversity. Our findings add to a growing body of evidence linking mental health to nature experiences and suggest that audition is an important modality by which natural environments confer restorative effects. Finally, our results suggest that maintaining or improving natural soundscapes within protected areas may be an important component to maximizing human experiences.</p>
Dataset corresponding to the project "Aging, loneliness, and well-being in Spain"
<p>Dataset corresponding to the project "Aging, loneliness, and well-being in Spain"</p>
Dataset of the Role of FoMO on Psychological Well-Being with Nomophobia as a Mediator among College Students
<p> </p> <p><br>This study investigates the influence of Fear of Missing Out (FoMO) on psychological well-being among college students, with a focus on nomophobia as a mediating factor. Utilizing a dataset derived from a sample of college students, the research explores how FoMO impacts emotional and mental health outcomes, with nomophobia serving as an intermediary variable. The study aims to contribute to understanding the interconnected dynamics of digital dependency and its psychological consequences in young adults.</p>
Assessing human well-being constructs with environmental and equity aspects: A review of the landscape
<p>Coded data for Betley et al. 2021. Assessing human well-being constructs with environmental and equity aspects: A review of the landscape. People and Nature. </p>
Data from: How does sustainable water consumption in the shower relate to different dimensions of perceived well-being? Empirical evidence from university students
<p>Water scarcity is already a worrying issue and it is predicted to get worse in the future. This creates an imperative to use water efficiently and sustainably. In the domestic sphere, one of the main uses of water is showering, not only for hygiene reasons but also as a wellness activity. In order to gain insight into the implications of sustainable shower use, in this paper we analyse the relationship between subjective well-being and water consumption in the shower. We aim to answer the following questions: 1) How does shower water consumption relate to subjective well-being, 2) Does this relationship differ depending on showering habits (time spent in the shower, and number of showers per week), and 3) Does this relationship differ depending on the season (winter and summer). The dataset contains information on 937 students from different disciplines at the University of Granada, Spain. The different interpretations of subjective well-being considered are life satisfaction, affect, and vitality. Results suggest that there is a negative relationship between water consumption and subjective well-being, in line with the literature that identifies a well-being dividend from green behaviour (being pro-environmental helps the environment and increases happiness). All subjective well-being dimensions are negatively related to time spent in the shower, regardless of the season. In contrast, the frequency of showering is not significantly related to well-being. Therefore, it appears that higher water consumption does not translate into higher perceived well-being, indicating that there is no conflict between efficient shower water use and individual well-being.</p>
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.