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Pakistan has 195 species of mammals and diverse habitats, with three zoogeographical realms: Palearctic, Oriental, and Ethiopian. Approximately two-thirds of the area is mountainous, and abrupt altitude changes result in variations in diversity over short distances. The key objectives of this study are to examine the diversity, distribution, and ecological status of mammalian species in Bahawalnagar, Punjab, Pakistan. Data collection was done twice every month throughout the day and night for one year using the Linear Count Method. The research identified 21 mammalian species from district Bahawalpur. The diversity indices show that the area has a high and rich diversity, as the Dominance Index is 0.1605, Simpson Index is 0.8395, Shannon-Wiener diversity index (H’) is 2.124, the evenness (E) is 0.3982 and the richness index (R) is 2.648, and in the study area. During the survey, the highest relative abundance (abbreviated as RA = 0.26261) of Mus musculus is documented from Bahawalnagar. The lowest relative abundance (RA = 0.00105) is noted in three species (i.e. Vulpes bengalensis, Viverricula indica and Antilope cervicapra) in the natural habitats of Bahawalnagar. These three species are rarely seen in the study area. It is documented that Rattus rattus, Herpestes edwardsii, Millardia meltada and Canis aureus also have high relative abundances as 0.21008,

This study performs a comparative investigation of two bioaerosol generators: the Sparging Liquid Aerosol Generator (SLAG) by CH Technologies and the 1520 Flow Focusing Monodisperse Aerosol Generator (FMAG) by TSI. The analysis concentrated on the vitality, culturability, fragmentation, and nebulization efficiency of E. coli cells. The results indicated increased fragmentation using the SLAG nebulizer, and the size distribution varied according to the concentration of the injection fluid for FMAG. Both nebulizers imposed significant stress on bacteria during nebulization, halving their viability. Ultimately, the nebulization efficiency of FMAG is twenty times higher than that of SLAG.

Survey on Entrepreneurship Education and Students’ Entrepreneurial Intention: The Role of Parents

The minimal anonymized dataset underlying this study, “The Role of Brand Commitment and External Information in Urban Consumers' Organic Produce Choices: Evidence from Japan and China，” and the replication materials are available at [PLOSOne] (DOI: 10.1371/journal.pone.0337225). The deposit includes: (i) the long-format choice-experiment dataset; (ii) latent class analysis (LCA) results merged to the long data (class assignments and posterior probabilities) as a single table; and (iii) code for the Wald tests and for reproducing the figures/plots. Data are released under CC BY 4.0, and code under the MIT License. No additional restrictions apply.

With the continuous iteration of knowledge economy, knowledge sharing is becoming one of the most effective means to maintain the continuity and creativity of organizational knowledge, and knowledge workers are thus increasingly vehicle and source of organization’s knowledge and culture. Meanwhile, because of fear of success, and having a prevention focus, knowledge workers may be inclined to share their knowledge in the workplace. Based on the resources conservation theory, this study focus itself on the investigation of the reversed impact mechanism and boundary condition of being envied on knowledge sharing. By way of a mediation (fear of success) and moderation (prevention) model, the study collects the data from a questionnaire of 410 knowledge workers in China, and the initial findings are: being envied of knowledge worker has a negative impact on knowledge sharing, while fear of success has a partial mediation; and, prevention focus negatively moderates the relation between being envied and knowledge sharing. The study enriches the researches of knowledge workers behavior, and of the influence of being envied in the organizational context, and it also provides some theoretical and managerial insights for useful knowledge sharing.

Data were collected from 140 undergraduate students in a cybersecurity course who collaboratively designed a metaverse project on Roblox following the ICAP framework. The dataset included measures of motivation, self-efficacy, and cognitive load, along with text data from reflections and in-platform communications. Quantitative data were analyzed statistically, while text-mining and topic modeling were used to explore emotional and thematic patterns across motivational clusters.

Meta analysis data compared the abundance and richness of arthropods at forest edges and within forests. The inclusion or exclusion of literature list lists the 262 articles in the full-text screening stage, as well as the data extracted from them and the reasons for their exclusion.

This dataset contains the de-identified individual patient data used to compare the accuracy of the Shukla formula and the modified Shukla formula in predicting the optimal insertion depth of umbilical venous catheters (UVC) in preterm infants with a gestational age of less than 32 weeks. The data includes infant demographics, birth parameters, calculated insertion depths using both formulas, the ideal depth determined by X-ray, and catheterization outcomes. The aim of this data sharing is to facilitate the reproducibility of the study findings and to support further research in neonatal vascular access.

This dataset maps exposure to Extreme Sea Level Rise (ESLR) across Europe and North Africa through 2100. ESLR (100-year return level) comes from JRC Global ESL projections and is combined with high-resolution terrain (DeltaDTM, 30 m; AHN 0.5 m for the Netherlands) via a cost-distance/topographic connectivity model. Outputs include 100 m GeoTIFF vulnerability rasters for Baseline (1980–2014), 2050 and 2100 under RCP 4.5 and RCP 8.5, each at the 5th/50th/95th percentiles. See manuscript for full methodology.

Dataset for: Fluid evolution in mid-ocean ridge vent systems: Implications from trace element variation during chimney growth to mound buildup. This dataset presents in situ geochemical data for sulfide minerals collected from the Xunmei Hydrothermal Field on the Mid-Atlantic Ridge. The data comprises electron probe micro-analyzer (EPMA) measurements for major elements and laser ablation-inductively coupled plasma-mass spectrometry (LA-ICP-MS) measurements for trace elements. The data is organized into three sheets: data, errors, and limits of detection (LOD). Note: Values that are bolded represent measurements below the LOD. These values have been replaced by half the LOD value to facilitate statistical analyses and data visualization.