The implications of these findings for policy are significant, as they underscore education's potent role in enhancing sexual well-being for individuals experiencing dyspareunia, irrespective of their socioeconomic status. This dataset compiles the unprocessed data, encompassing partial participant demographics and scores, grouped by question, alongside each participant's scores at each time point (before and after the intervention). The results of this research, supported by this dataset, can be further analyzed, opening the possibility for replicating the study.

The dataset includes the 2020 yield plot measurements from eight municipalities in Niger's Dosso and Tillaberi regions, encompassing the responses of smallholder farmers to a semi-structured field survey. Equally distributed across eight intervention municipalities, the systematic sampling encompassed 320 questionnaires and 192 yield plot samples. The dataset provides information on the utilization and consequences of a customized climate service (CS), produced by the National Meteorological Service (NMS) and distributed through a network of Ministry of Agriculture extension services at the municipal level, within the context of the AdaptatioN Au changement Climatique, prevention des catastrophes et Developpement agrIcole pour la securite Alimentaire du Niger (ANADIA) Project. The survey data provides a view of how local farmers prefer to receive climate services information, affecting their tactical and strategic decisions in farm operations. The survey, in addition, probes the information farmers find essential during the planting and harvesting stages. Additionally, the quantification of yield and its correlation with farmers' access to climate information and engagement in training courses reveals the impact of the CS on agricultural production in these regions. Investigations into CSs for smallholder farmers in semi-arid regions warrant further exploration utilizing this dataset. The effectiveness of agrometeorological services for smallholder farmers in Dosso and Tillaberi, Niger, is the subject of this co-submitted article, which is destined for the Climate Services journal.

We develop computationally generated datasets that model ultrasonic wave propagation within viscous tissues in both two and three dimensions. The dataset encompasses physical parameters of a human breast, including a high-contrast inclusion, the acquisition setup's source and receiver positions, and the resultant pressure-wave data, recorded at ultrasonic frequencies. Seven distinct viscous models, grounded in breast physical parameters, were used to simulate the propagation of waves. Furthermore, the medium's boundaries are presented with alternative conditions, namely, absorption and reflection. Evaluating the performance of ultrasound imaging reconstruction methods under uncertain attenuation models, where the precise attenuation law of the medium isn't known, is facilitated by the dataset. Moreover, the dataset provides a means to evaluate the inverse approach's strength in scenarios with reflective boundary conditions involving multiple reflections on the sample, and/or the effectiveness of data-processing techniques to minimize these multiple reflections.

The environment and society alike experience considerable impacts from the complex and pervasive natural hazard of drought. Considering the spatial and temporal variability of this phenomenon, influenced by diverse factors such as physical conditions and human activities, the availability of spatiotemporal drought data enhances the monitoring and assessment of drought severity. The iMDI, a recently formulated index, incorporates the vegetation condition index (VCI), the temperature condition index (TCI), and the evaporative stress index (ESI). This integration hinges on the use of scaling algorithms, encompassing normalization and standardization techniques. The data's processing relied on median values extracted from MODIS time-series imagery available through the Google Earth Engine (GEE) platform. Drought monitoring using the iMDI datasets, both monthly and annually, is available for the period spanning from 2001 to 2020. The datasets comprising VCI, TCI, and ESI were furnished for user-driven applications, despite the potential for acquisition from GEE or alternative repositories. The availability of iDMI data is a significant advantage for users, especially those with limited technical expertise. This approach enables a reduction in both expenses and the time needed for data processing. This accessibility, therefore, encourages the application of data to diverse uses, for example, evaluating drought's impact on the environment and human activities, and monitoring droughts at the regional level.

The presence of pressure injuries represents a serious problem in healthcare, and developing an understanding of the knowledge and practices employed by nurses is critical for enhancing patient results. The survey, conducted to assess the knowledge, attitudes, and practices of nurses in public hospitals of Sabah's West Coast, Malaysia, regarding pressure injury prevention and care, is documented in this article's dataset. 448 nurses, completing a structured questionnaire in Malay, participated in the study, which used the 2016 Pieper-Zulkowski-Pressure Ulcer Knowledge Test (PZ-PUKT) between April and December 2021. The pressure injury prevention questionnaire contained three outcome measures in addition to socio-demographic information. The survey responses were subjected to a quantitative, descriptive statistical analysis for interpretation. Biopsychosocial approach This survey offers a window into nurses' knowledge, dispositions, and routines related to preventing pressure ulcers, suggesting possibilities for developing programs to better prevent and manage pressure sores in public hospitals.

Addressing and mitigating the environmental consequences of agri-food systems is now a top priority. Uveítis intermedia More pointedly, the agri-food sector is increasingly required to assess the environmental consequences of its operations, for example, through eco-designing products or transparently informing consumers. The literature showcases considerable variability in environmental impacts across existing systems, such as contrasting cheese production and other processes, underscoring the necessity of more case studies to support these assertions. This data paper, within the provided context, details data regarding Feta production in Greece, stemming from eight farms affiliated with a cooperative. These farms include seven dedicated to sheep and one to goats. The unique PDO status of feta cheese mandates its composition from both goat's milk and sheep's milk, including a minimum of 70% sheep's milk. The environmental impacts of Feta production, as calculated via life cycle assessment (LCA), are exhaustively documented in this data paper; it includes all data points from resource extraction to consumer use. From sheep and goat milk production to its transformation into cheese, packaging, and transport to wholesalers, then retailers, and eventually, the hands of consumers, the entire process is detailed here. Raw data collection, predominantly through interviews and surveys of cheese and milk producers, has been enriched by a review of pertinent literature. Based on the data, a life cycle inventory (LCI) was compiled. Milk production's LCI was modeled computationally using the MEANS InOut software. In the execution of the LCI, Agribalyse 30 and Ecoinvent 38 databases were adopted as foundational materials, undergoing modification to correspond with Greek specifics. The dataset's structure encompasses the life cycle impact assessment (LCIA). Characterization was accomplished using the EF30 method. This dataset is designed to fill two gaps in our knowledge regarding Feta cheese production: it provides data demonstrating the variability in Feta production techniques between different systems and it provides data to assess the effects of farm, processing, retail, and transportation practices on the Feta cheese value chain. By encompassing a more comprehensive system boundary, in contrast to the prevailing focus in the literature on a single process, such as milk production, this is carried out by applying LCA to data tailored to a regional context, taking Stymfalia, Greece as an example.

The data displayed refer to the study 'Prevalence and associated risk factors for mental health problems among female university students during the COVID-19 pandemic: A cross-sectional study findings from Dhaka, Bangladesh [1]'. A dataset is provided within this article detailing the prevalence of psychological distress among 451 female university students coping with the ongoing COVID-19 pandemic. From October 15, 2021, to January 15, 2022, Google Forms, part of the Google survey tools, was utilized to gather their responses. A structured questionnaire was formulated to explore the correlation between sociodemographic variables and the presence of mental health problems. In order to quantify loneliness, anxiety, and depression, the following psychometric scales were applied: UCLA-3 for loneliness, GAD-7 for anxiety, and PHQ-9 for depression. We leveraged IBM SPSS (version ) for the purpose of statistical analysis. 250). A list of sentences is to be returned in JSON format. Electronic consent was obtained from each respondent for the study, and their anonymized data were published. Thus, decision-makers within both governmental and non-governmental bodies can use the data to construct various initiatives designed to enhance the mental health of female university students in the city of Dhaka, Bangladesh.

Data concerning individuals' decisions on high or low effort extraction was gathered from laboratory experiments conducted on a common pool resource game, where play continued indefinitely, with a random end to each round. With the consent of students and ethical approval in place, experiments were carried out using a sample from the University of Hawai'i at Manoa. Eight sessions were conducted, two devoted to each of four treatments. Each session held exactly twenty participants. https://www.selleckchem.com/products/bbi-355.html Groups of ten individuals deliberated on individual choices.