cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21233/7b6e-se18
title: LDDsite3325 ostracode surface sample dataset

description: Raw data for the LDDsite3325 ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/ndms-vz58
title: LDDsite1854 ostracode surface sample dataset

description: Raw data for the LDDsite1854 ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/xay0-zh43
title: Marsden Lake water chemistry dataset

description: Raw data for the Marsden Lake water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/z06v-r526
title: Great Pond (T) diatom surface sample dataset

description: Raw data for the Great Pond (T) diatom surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/7ak2-5g37
title: Trout Peatland B testate amoebae surface sample dataset

description: Raw data for the Trout Peatland B testate amoebae surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/gkvx-7s36
title: Onion Portage pollen dataset

description: Raw data for the Onion Portage pollen dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.5281/zenodo.15369032
title: Cupressus sempervirens genome annotation
DOI: 10.5281/zenodo.15369033
title: Cupressus sempervirens genome annotation
DOI: 10.21233/p915-ag50
title: Lake Erie ostracode surface sample dataset

description: Raw data for the Lake Erie ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.6084/m9.figshare.29028284
title: NSSI-Control

description: çalışma için mevcut 2 örnekleme ait excell verileri.
DOI: 10.21233/dyhm-ec08
title: Mashapoag water chemistry dataset

description: Raw data for the Mashapoag water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.5281/zenodo.15383531
title: Unified ψ-Field Decay Law from Vacuum Compression: Resolving Neutron Anomalies and Predicting Heavy Meson Decay via KLTOE

description: Description:This dataset supports the paper "Unified ψ-Field Decay Law from Vacuum Compression: Resolving Neutron Anomalies and Predicting Heavy Meson Decay via KLTOE", submitted to F1000Research. It includes the full theoretical framework, numerical modeling, and validation data for the KLTOE (Keith Luton Theory of Everything) decay law. The law extends Standard Model decay predictions by introducing vacuum compression dynamics, ψ-field gradients, and containment-specific effects including material coupling, boundary resonance, and magnetic field damping.

The repository includes:





Source code (Python/NumPy and MATLAB) for decay rate simulation




Parameter tables for neutron, muon, kaon, pion, B⁺, D⁰, and electron




A validation spreadsheet with experimental vs. predicted half-lives




Jupyter Notebook demonstrating AIC/BIC statistical comparisons




Extended documentation for reproducing results and modifying α₀, ζₚ, and ψ-gradient thresholds



This model quantitatively explains:





The neutron beam–bottle lifetime discrepancy




Exotic decay channel enhancements in heavy mesons (e.g., B⁺ → K⁺X)




ψ-field stability boundaries and containment-induced decay acceleration



All results were produced using open-source scientific tools and are compliant with reproducibility standards.

Keywords:KLTOE, particle decay, ψ-field, neutron anomaly, vacuum compression, dark decay, heavy mesons, Standard Model extension, unified physics

Creators:





Keith Luton (The New Faith Church and Co-op, LutonPhysics)




Elizabeth Stamm (The New Faith Church and Co-op)



License:Creative Commons Attribution 4.0 International (CC BY 4.0)

Funding:Supported by The New Faith Church and Co-op as part of DARPA proposal HR001124S0023 and ARC program EA-25-02.
DOI: 10.5281/zenodo.15383532
title: Unified ψ-Field Decay Law from Vacuum Compression: Resolving Neutron Anomalies and Predicting Heavy Meson Decay via KLTOE

description: Description:This dataset supports the paper "Unified ψ-Field Decay Law from Vacuum Compression: Resolving Neutron Anomalies and Predicting Heavy Meson Decay via KLTOE", submitted to F1000Research. It includes the full theoretical framework, numerical modeling, and validation data for the KLTOE (Keith Luton Theory of Everything) decay law. The law extends Standard Model decay predictions by introducing vacuum compression dynamics, ψ-field gradients, and containment-specific effects including material coupling, boundary resonance, and magnetic field damping.

The repository includes:





Source code (Python/NumPy and MATLAB) for decay rate simulation




Parameter tables for neutron, muon, kaon, pion, B⁺, D⁰, and electron




A validation spreadsheet with experimental vs. predicted half-lives




Jupyter Notebook demonstrating AIC/BIC statistical comparisons




Extended documentation for reproducing results and modifying α₀, ζₚ, and ψ-gradient thresholds



This model quantitatively explains:





The neutron beam–bottle lifetime discrepancy




Exotic decay channel enhancements in heavy mesons (e.g., B⁺ → K⁺X)




ψ-field stability boundaries and containment-induced decay acceleration



All results were produced using open-source scientific tools and are compliant with reproducibility standards.

Keywords:KLTOE, particle decay, ψ-field, neutron anomaly, vacuum compression, dark decay, heavy mesons, Standard Model extension, unified physics

Creators:





Keith Luton (The New Faith Church and Co-op, LutonPhysics)




Elizabeth Stamm (The New Faith Church and Co-op)



License:Creative Commons Attribution 4.0 International (CC BY 4.0)

Funding:Supported by The New Faith Church and Co-op as part of DARPA proposal HR001124S0023 and ARC program EA-25-02.
DOI: 10.21233/q4nc-qd17
title: Lake George water chemistry dataset

description: Raw data for the Lake George water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/8xgb-ka53
title: La Baña D pollen surface sample dataset

description: Raw data for the La Baña D pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/axva-hz77
title: Samerberg pollen dataset

description: Raw data for the Samerberg pollen dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.14458/utcc.the.2024.11
title: Investigating factors affecting Burmese learners' satisfaction : evidence from private universities in Bangkok, Thailand

description: This research investigates the factors affecting the satisfaction levels of Burmese learners enrolled in private universities in Bangkok, Thailand. The study aims to gain the insights into the key determinants that contribute to student satisfaction within the context of international higher education settings. The study was undertaken with the objectives to investigate factors affecting on Burmese student’s satisfaction with their oversea education at private institutions in Bangkok and to offer suggestions on how to raise the satisfaction of Burmese students. The conceptual framework is generally based on two main factors from product and service perspectives. As a product of an institution, a researcher selected two main subcategories including curriculum relevance and skilled lecturers. For service perceptive, a popular approach to measure the service quality, SERVQUAL model, is being used. Under SERVQUAL model, five subcategories are included, such as Reliable, Assurance, Tangible, Empathy and Responsiveness. Quantitative methodology will be utilized to collect the data from a specific sample size; specifically Burmese students enrolled in private universities in Bangkok. The quantitative approach employs structured questionnaires to assess various factors to measure the learners’ satisfaction based on two main dimension; particularly SERVQUAL model and academic resources. The questionnaires with two languages (Burmese and English) were distributed through social media platform (such as Facebook) by using a mix of sampling approach. The questionnaires are distributed online through snowballing to a group of common friends who are enrolled in Bangkok's private universities. In addition, simple random sampling method is used in order to reach to public. Chapter 1 consists of the introduction, featuring the business context, problem statement, research objectives, expected benefits and scope of the research. Chapter 2 divided into theoretical foundations and relevant research, with a focus on literature review and the formulation of research hypotheses and conceptual frameworks. Chapter 3 outlines the research methodology, covering research design, questionnaires, tools, data collection, and analysis procedures. In Chapter 4, the study's findings are elaborated upon, Microsoft Excel and SPSS software are being used to analyze the data for demographic, descriptive, and hypothesis testing. Cronbach’s Alpha method was used to test the reliability and validity of the questionnaires. The study was used the multiple regression analysis to explore the hypothesis relationships. Chapter 5 provides a conclusion and discussion, addressing research limitations and implications. After identifying and analyzing these factors, the research seeks to provide valuable recommendations for enhancing the quality of educational services and promoting greater satisfaction among Burmese learners in private universities in Bangkok, Thailand.
DOI: 10.21233/pzd8-cs82
title: LDDsite4003 water chemistry dataset

description: Raw data for the LDDsite4003 water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/drq7-hy70
title: Unnamed Lake (Sh) diatom bottom sample dataset

description: Raw data for the Unnamed Lake (Sh) diatom bottom sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.14458/utcc.the.2024.14
title: Factors affecting user engagement within the TikTok shop platform in Bangkok

description: This independent study is to investigate the factors that affect user engagement among all users of Tik Tok shop in Bangkok. In this study, a quantitative method was used, and the questionnaire was items will be adapted from existing literature, drawing upon studies by Xu & Pratt (2018), Pancer & Smith (2021), Kumar & Reinartz (2018), Lemon & Verhoef (2016), Enberg (2022), Harrigan et al. (2018), Xu et al. (2022), Zhang et al. (2017), and Rungruangjit et al. (2023). A total of 166 respondents participated in this research, however only 150 respondents’ data were included in the research because 16 respondent’s data were screened out from the survey. The study indicates that the factors such as influencer marketing and user experience (UX) interface design play important roles in affecting user engagement in Tiktok shop in Bangkok. The finding of this study contributes to a better understanding of the factors that can enhance user engagement, optimizing the product strategy and e-commerce business platforms like Tik Tok shop.
DOI: 10.14458/utcc.the.2024.15
title: Impact of employees engagement and knowledge sharing on organizational performance : a study of B technology company

description: Employee engagement and knowledge sharing are critical factors that can significantly impact organizational performance. This study aims to explore the relationships between employee engagement, knowledge sharing, and organization performance and to provide insights into how organizations can enhance their performance through these factors. The study is based on data collected from 276 respondents, representing a diverse range of industries and organizational roles. The analysis reveals a strong positive relationship between employee engagement and knowledge sharing, indicating that engaged employees are more likely to share knowledge within the organization. Furthermore, the study finds that knowledge sharing positively influences organization performance suggesting that organizations that promote knowledge sharing among employees are likely to experience improved operational performance outcomes. The study also examines the direct and indirect effects of employee engagement on operational performance. The direct effect of employee engagement on operational performance is found to be significant, indicating that higher levels of employee engagement are associated with better operational performance. Additionally, the indirect effect of employee engagement on operational performance through knowledge sharing is also significant, highlighting the importance of knowledge sharing as a mediating factor in the relationship between employee engagement and operational performance. However, the study identifies several limitations, including sample size and measurement issues, which may impact the generalizability of the findings. Future research directions are proposed to address these limitations, including longitudinal studies, experimental designs, and cross-cultural studies, to further investigate the relationships between employee engagement, knowledge sharing, and operational performance.
DOI: 10.14458/utcc.the.2024.16
title: The influence of the e-service quality of HongHe University e-library on student satisfaction

description: This independent study is to investigate the influence of e-service quality dimensions on student satisfaction among students of HU E-library in HongHe University MengZi. In this study, quantitative method was used, and the questionnaire was designed by using the modified E-S-QUAL model. A total of 286 respondents participated in this research, however only 276 respondents’ data were included in the research because ten respondent’s data were screened out from the survey. The result of the study suggests that e-service quality dimensions, such as web design (sig at 0.000), reliability (sig at 0.000), and responsiveness (sig at 0.000), play important roles in influencing student satisfaction among students of HU E-library. The finding of this study contributes to a better understand of e-service quality dimensions influencing on student satisfaction and identify the key dimensions which have significant influence on student satisfaction of HU E-library, to develop better improvement planning for the organization.
DOI: 10.14458/utcc.the.2024.17
title: The study of cost reduction opportunity : empirical evidence from a cemented carbide company of Chinese company

description: This thesis investigates the cost reduction opportunities in a Chinese cemented carbide company operating in Thailand. The study aims to identify the primary cost drivers, challenges, and effective strategies that can be implemented to enhance cost efficiency and overall competitiveness. The research employs a qualitative approach, utilizing semi-structured interviews with key personnel in the company, including senior management, finance executives, production managers, and procurement officers. The data collected is analyzed using thematic analysis, TOWS, and VRIO frameworks to provide a comprehensive understanding of the internal and external factors impacting cost management. The findings reveal that labor costs, logistics costs, procurement costs, energy costs, and marketing costs are the main areas where significant cost reduction opportunities exist. Effective strategies identified include implementing robust training programs, streamlining supply chain processes, adopting Just-In-Time (JIT) inventory systems, investing in energy-efficient machinery, and leveraging digital marketing channels. The study underscores the importance of a holistic approach to cost management, incorporating technological innovations, strategic partnerships, and continuous improvement practices. This research contributes to the academic literature by providing empirical evidence from the cemented carbide industry and offering practical recommendations for companies facing similar cost management challenges in international markets. The insights gained from this study can help businesses optimize their cost structures, enhance profitability, and achieve sustainable growth in the competitive global landscape.
DOI: 10.14458/utcc.the.2024.18
title: Factors affecting purchase intention of Mistine products in Bangkok, Thailand

description: This study investigates the factors influencing the purchase intention of Mistine products among female consumers in Bangkok, Thailand. Utilizing a quantitative approach, the research aims to identify the impact of attitudes, subjective norms, and perceived behavioral control on consumers' purchasing decisions. Data were collected from a sample of 293 respondents through a structured questionnaire employing a fivepoint Likert scale. The study employs multiple regression analysis to test the hypotheses and evaluate the predictive power of the identified factors on purchase intention. The results reveal that all three variables—attitude, subjective norms, and perceived behavioral control—significantly influence purchase intention. Attitude towards Mistine products emerged as a strong predictor, suggesting that positive perceptions substantially enhance the likelihood of purchase. Subjective norms, including the influence of friends, family, and social media, also play a crucial role in shaping purchase intentions. Additionally, perceived behavioral control, reflecting consumers' confidence in their ability to purchase Mistine products, significantly impacts their purchasing behavior. The findings provide valuable insights for Mistine and similar brands to tailor their marketing strategies effectively. By understanding the key drivers of purchase intention, companies can better target their promotional efforts, enhance consumer satisfaction, and build stronger brand loyalty. The study concludes with recommendations for marketers and suggestions for future research to explore additional factors that may influence consumer behavior in the beauty and skincare market.
DOI: 10.14458/utcc.the.2024.19
title: Investigating the mediating effect of manufacturing performance on the relationship between lean manufacturing practices and sustainability in Thai electronics manufacturing

description: The Thai electronics manufacturing sector is a significant contributor to the national economy. However, concerns regarding environmental impact necessitate a shift towards sustainable practices. Lean manufacturing (LM) is widely implemented for efficiency, but its impact on sustainability in Thailand remains unclear. While studies suggest a positive link between LM and sustainability, the underlying mechanisms are underexplored. This research investigates the mediating role of manufacturing performance in this relationship. To examine the relationship between LM practices and sustainability in Thai electronics manufacturing and to investigate the mediating effect of manufacturing performance on this relationship. This quantitative study will employ a survey among Thai electronics manufacturers practicing lean practices. The expected benefits of this study are for Thai electronics manufacturers can identify areas for sustainable LM practices, for the Policymakers can design policies promoting sustainable manufacturing and for the Academics gain knowledge on LM and sustainability in the Thai context.
DOI: 10.21233/kbab-zt83
title: LDDsite1405 water chemistry dataset

description: Raw data for the LDDsite1405 water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.