cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/4svfmdhdzw
title: Results of the project evaluation “Challenges and Gamification to Work on the Sustainable Development Goals (SDGs) in Science Fiction: Information vs Opinion”

description: This document compiles the testimonies of the students who participated in the “1st University Meeting ‘With Feet on the Ground: Reflections on Sustainability (Information vs Opinion)’”, co-funded by the Fundación de Alcalá and held in Sigüenza on 22, 23 and 24 October 2021. These activities were carried out within the framework of the Teaching Innovation Project “Challenges and Gamification to Work on the Sustainable Development Goals (SDGs) in Science Fiction: Information vs Opinion” (UAH/EV1258), developed at the University of Alcalá, by the teaching team of the EDUCA-ODS-UAH working group.
The activities designed for this project were based on challenge-based learning (CBL) and gamification strategies (role-playing), with the aim of fostering awareness of specific social, political and environmental issues and of creating collaborative, multidisciplinary learning models. These methodologies sought to strengthen the connection between what students learn in academic contexts and how they perceive and interpret the world around them. All sessions revolved around the television series The Collapse (L’effondrement, 2019).
Following the activities developed over the three-day programme, participants were asked in writing the following question: “What would you do to improve your present while thinking about your future?” The responses are transcribed below.
First, the testimonies are presented in Spanish, followed by their English translation.
DOI: 10.17632/4svfmdhdzw.1
title: Results of the project evaluation “Challenges and Gamification to Work on the Sustainable Development Goals (SDGs) in Science Fiction: Information vs Opinion”

description: This document compiles the testimonies of the students who participated in the “1st University Meeting ‘With Feet on the Ground: Reflections on Sustainability (Information vs Opinion)’”, co-funded by the Fundación de Alcalá and held in Sigüenza on 22, 23 and 24 October 2021. These activities were carried out within the framework of the Teaching Innovation Project “Challenges and Gamification to Work on the Sustainable Development Goals (SDGs) in Science Fiction: Information vs Opinion” (UAH/EV1258), developed at the University of Alcalá, by the teaching team of the EDUCA-ODS-UAH working group.
The activities designed for this project were based on challenge-based learning (CBL) and gamification strategies (role-playing), with the aim of fostering awareness of specific social, political and environmental issues and of creating collaborative, multidisciplinary learning models. These methodologies sought to strengthen the connection between what students learn in academic contexts and how they perceive and interpret the world around them. All sessions revolved around the television series The Collapse (L’effondrement, 2019).
Following the activities developed over the three-day programme, participants were asked in writing the following question: “What would you do to improve your present while thinking about your future?” The responses are transcribed below.
First, the testimonies are presented in Spanish, followed by their English translation.
DOI: 10.17632/ybggkc58fz
title: Worldwide Electricity Load Dataset

description: This dataset provides a comprehensive, global-scale collection of time-series electricity load data aggregated from major power markets across Asia, Europe, North America, and Oceania. It captures system-level demand profiles at consistent temporal resolution, enabling detailed analysis of consumption patterns, peak-demand behavior, and seasonal variability across regions. The dataset is structured in a standardized and harmonized format to support load forecasting, cross-market comparative studies, and data-driven research in power system planning, operation, and energy market analytics.
DOI: 10.17632/ybggkc58fz.1
title: Worldwide Electricity Load Dataset

description: This dataset provides a comprehensive, global-scale collection of time-series electricity load data aggregated from major power markets across Asia, Europe, North America, and Oceania. It captures system-level demand profiles at consistent temporal resolution, enabling detailed analysis of consumption patterns, peak-demand behavior, and seasonal variability across regions. The dataset is structured in a standardized and harmonized format to support load forecasting, cross-market comparative studies, and data-driven research in power system planning, operation, and energy market analytics.
DOI: 10.17632/g46ft226xk
title: Supplementary Table for JAAD Transected Melanomas Manuscript

description: Supplementary Table for JAAD manuscript "Factors impacting melanoma transection and outcomes of patients with transected melanomas: a population-based study of the Surveillance, Epidemiology, and End Results Program"
DOI: 10.17632/g46ft226xk.1
title: Supplementary Table for JAAD Transected Melanomas Manuscript

description: Supplementary Table for JAAD manuscript "Factors impacting melanoma transection and outcomes of patients with transected melanomas: a population-based study of the Surveillance, Epidemiology, and End Results Program"
DOI: 10.17632/vk7dnf8nrj.1
title: Combined Citrus maxima (Pomelo) and Phyllanthus emblica (Indian Gooseberry) Leaf Dataset An Expert-Validated Balanced Resource for Deep Learning-based Disease Detection in Bangladesh

description: This dataset is a comprehensive collection of Pomelo (Citrus maxima) and Indian Gooseberry (Phyllanthus emblica) leaf images, developed at Daffodil International University, Dhaka, Bangladesh, to support research in machine learning, deep learning, and computer vision–based plant disease detection. A total of 4,502 images (comprising 868 original field-captured samples and 3,634 augmented counterparts) were collected from homestead agricultural gardens in Tangail, Bangladesh, under natural lighting conditions between January 13, 2025, and October 20, 2025. All images were captured using a Realme 7i smartphone (64MP) and standardized to a resolution of 224 × 224 pixels in RGB format.
The dataset covers nine distinct classes across two crops: Pomelo (Fungal Curling, Yellow Mosaic, Leaf Hole, Chewing Damage, Healthy, and Early Stage) and Indian Gooseberry (Healthy, Partially Defoliated, and Early Stage). The inclusion of Phyllanthus emblica serves as a morphological negative control for cross-species validation. To address initial class imbalance and improve model generalization, extensive data augmentation techniques—such as rotation, flipping, zooming, shearing, and brightness adjustment—were applied. The dataset's technical utility was validated using state-of-the-art models like Xception, ResNet152V2, and DenseNet121, with DenseNet121 achieving a superior accuracy of 99.00%. This dataset serves as a valuable resource for advancing research in precision agriculture, smart farming, and AI-based crop health monitoring, and is freely available for academic and research purposes with proper acknowledgment to the creators and Daffodil International University.
DOI: 10.17632/35d6hhpczp.3
title: Minimizing Makespan and Tardy Jobs in Parallel Machine Scheduling with Sequence-Dependent Setup Times: A Simulated Annealing Approach for the Weaving Industry

description: GAMS and MATLAB Data for Minimizing Makespan and Tardy Jobs in Parallel Machine Scheduling with Sequence-Dependent Setup Times Study
DOI: 10.17632/6zds9fm79h
title: Data repository for "What controls wavy versus flat topologies of fault surfaces? An insight from analogue experiments"

description: This data repository supports research on the topological analysis of fault surfaces from both natural environments in the Singhbhum Shear Zone, Eastern India, and controlled laboratory experiments. The collection includes field data as well as laboratory data obtained using a laser profilometer.
Field data was initially recorded as dip-strike measurements, which were later converted into x-y-z coordinates to create a 3D topological surface. You can visualize and plot the 3D fault surface using CloudCompare software or the MATLAB script 'meshdata_xyz.'
Laboratory data, by contrast, was collected with a laboratory-based laser profilometer and is formatted as y-x-z (rather than x-y-z, due to the system's default settings). The recommended approach for visualizing and interpreting this dataset is with the open-source software CloudCompare. In addition to the full 3D data, several profile sections in x-z or y-z format were also collected, representing across-slip and along-slip profiles of the fault surfaces.
DOI: 10.17632/6zds9fm79h.1
title: Data repository for "What controls wavy versus flat topologies of fault surfaces? An insight from analogue experiments"

description: This data repository supports research on the topological analysis of fault surfaces from both natural environments in the Singhbhum Shear Zone, Eastern India, and controlled laboratory experiments. The collection includes field data as well as laboratory data obtained using a laser profilometer.
Field data was initially recorded as dip-strike measurements, which were later converted into x-y-z coordinates to create a 3D topological surface. You can visualize and plot the 3D fault surface using CloudCompare software or the MATLAB script 'meshdata_xyz.'
Laboratory data, by contrast, was collected with a laboratory-based laser profilometer and is formatted as y-x-z (rather than x-y-z, due to the system's default settings). The recommended approach for visualizing and interpreting this dataset is with the open-source software CloudCompare. In addition to the full 3D data, several profile sections in x-z or y-z format were also collected, representing across-slip and along-slip profiles of the fault surfaces.
DOI: 10.17632/kby9y39k2h
title: Chiral catalysis-driven rotary molecular motors

description: NMR spectra associated with data supporting paper titled 'Chiral catalysis-driven rotary molecular motors'.
DOI: 10.17632/kby9y39k2h.3
title: Chiral catalysis-driven rotary molecular motors

description: NMR spectra associated with data supporting paper titled 'Chiral catalysis-driven rotary molecular motors'.
DOI: 10.17632/s2f82cvktm
title: The moral life of tourism in later years: How senior travelers turn experiences into environmental care?

description: Quantitative data
DOI: 10.17632/s2f82cvktm.1
title: The moral life of tourism in later years: How senior travelers turn experiences into environmental care?

description: Quantitative data
DOI: 10.17632/kzkr46wjvn
title: Receiver functions and dispersion curves of an NWW-trending short-period dense array and several temporary broadband stations across the Western Yangtze Craton

description: Receiver functions and dispersion curves of an NWW-trending short-period dense array and several temporary broadband stations across the Western Yangtze Craton
DOI: 10.17632/kzkr46wjvn.2
title: Receiver functions and dispersion curves of an NWW-trending short-period dense array and several temporary broadband stations across the Western Yangtze Craton

description: Receiver functions and dispersion curves of an NWW-trending short-period dense array and several temporary broadband stations across the Western Yangtze Craton
DOI: 10.17632/zjkdn7kc4r
title: Defining Properties in Mandarin Chinese: A Multifactorial Corpus-Based Analysis of Adjectival Predicate Constructions

description: This dataset contains the R code used in our paper, which primarily focuses on Multiple Correspondence Analysis, Conditional Random Forest, and Conditional Inference Tree.
DOI: 10.17632/zjkdn7kc4r.1
title: Defining Properties in Mandarin Chinese: A Multifactorial Corpus-Based Analysis of Adjectival Predicate Constructions

description: This dataset contains the R code used in our paper, which primarily focuses on Multiple Correspondence Analysis, Conditional Random Forest, and Conditional Inference Tree.
DOI: 10.17632/5fnnmzf6zy
title: data for the influence of perceived AI creativity and territoriality

description: data for the influence of perceived AI creativity and territoriality
DOI: 10.17632/5fnnmzf6zy.1
title: data for the influence of perceived AI creativity and territoriality

description: data for the influence of perceived AI creativity and territoriality
DOI: 10.17632/w3fxcps8j2
title: Questionnaire 1 and 2: 1st University Meeting “With Feet On The Ground: Reflexitons On Sustainability (Informativon vs Opinion)”, 2021.

description: Results of the evaluation surveys of the teaching innovation project “Challenges and Gamification to Work on the Sustainable Development Goals (SDGs) in Science Fiction: Information vs Opinion”, based on the activities carried out during the 1st University Meeting “With Feet on the Ground: Reflections on Sustainability (Information vs Opinion)”, 2021.
DOI: 10.17632/w3fxcps8j2.1
title: Questionnaire 1 and 2: 1st University Meeting “With Feet On The Ground: Reflexitons On Sustainability (Informativon vs Opinion)”, 2021.

description: Results of the evaluation surveys of the teaching innovation project “Challenges and Gamification to Work on the Sustainable Development Goals (SDGs) in Science Fiction: Information vs Opinion”, based on the activities carried out during the 1st University Meeting “With Feet on the Ground: Reflections on Sustainability (Information vs Opinion)”, 2021.
DOI: 10.3886/e242268
title: Ebonyi State University, Abakaliki 2026/2027 Pre-Degree Form, Part-time Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542

description: Ebonyi State University, Abakaliki 2026/2027 Pre-Degree Form, Part-time Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542
DOI: 10.3886/e242269
title: Ekiti State University 2026/2027 Pre-Degree Form, Part-time Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542

description: Ekiti State University 2026/2027 Pre-Degree Form, Part-time Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542
DOI: 10.15468/dl.bgf8z9
title: Occurrence Download

description: A dataset containing 1503548 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is Asia",
 "Country is Hong Kong",
 "DatasetKey is EOD – eBird Observation Dataset",
 "GadmGid is CHN.HKG",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1503548 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070955-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mmfbj9
title: Occurrence Download

description: A dataset containing 317 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sciapteryx costalis"
 ]
}

 The dataset includes 317 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070961-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5q2psc
title: Occurrence Download

description: A dataset containing 104376 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gypaetus barbatus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON((-180 -90, 180 -90, 180 90, -180 90, -180 -90))"
 ]
}

 The dataset includes 104376 records from 318 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070951-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.29typ9
title: Occurrence Download

description: A dataset containing 118 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Rubus chingii",
 "Year 1980-2026"
 ]
}

 The dataset includes 118 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070962-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/rb4ddwpdz5
title: Artificial Intelligence in Nursing Practice: A Systematic Review of Applications, Impacts, and Ethical Considerations

description: This dataset supports the systematic review titled “Artificial Intelligence in Nursing Practice: A Systematic Review of Applications, Impacts, and Ethical Considerations.” It includes metadata extracted from 53 peer-reviewed studies published between January 2020 and June 2025. The dataset is organized into four thematic domains: clinical applications, operational impacts, educational implications, and ethical considerations.

Contents:

• PRISMA screening log (initial search results, inclusion/exclusion decisions)
• Study metadata (authors, publication year, country, AI application type, nursing domain)
• Thematic codes and categories used in qualitative synthesis
• Summary tables of AI tools, nursing roles affected, and reported outcomes
• Ethical concerns identified across studies (e.g., data privacy, algorithmic bias)


Format: Excel (.xlsx) and CSV (.csv)
License: CC BY 4.0
Access: Open access via Mendeley Data
DOI: 10.17632/rb4ddwpdz5.4
title: Artificial Intelligence in Nursing Practice: A Systematic Review of Applications, Impacts, and Ethical Considerations

description: This dataset supports the systematic review titled “Artificial Intelligence in Nursing Practice: A Systematic Review of Applications, Impacts, and Ethical Considerations.” It includes metadata extracted from 53 peer-reviewed studies published between January 2020 and June 2025. The dataset is organized into four thematic domains: clinical applications, operational impacts, educational implications, and ethical considerations.

Contents:

• PRISMA screening log (initial search results, inclusion/exclusion decisions)
• Study metadata (authors, publication year, country, AI application type, nursing domain)
• Thematic codes and categories used in qualitative synthesis
• Summary tables of AI tools, nursing roles affected, and reported outcomes
• Ethical concerns identified across studies (e.g., data privacy, algorithmic bias)


Format: Excel (.xlsx) and CSV (.csv)
License: CC BY 4.0
Access: Open access via Mendeley Data
DOI: 10.17632/7gb7mvwzxf
title: Bundle-Based Nursing Interventions for CLABSI Prevention in Saudi Government Hospitals: A Meta-Analysis of Compliance and Infection Outcomes Across Indexed Studies (September 2015–September 2025)

description: Background:
Central Line-Associated Bloodstream Infections (CLABSIs) are among the most preventable yet persistent healthcare-associated infections in intensive care units (ICUs). In Saudi Arabia, government hospitals have increasingly adopted bundle-based nursing protocols to mitigate CLABSI risks. This meta-analysis evaluates the effectiveness of nursing-led interventions in reducing CLABSI incidence and improving compliance across public-sector ICUs.

Methods:
A systematic search of indexed databases—including PubMed, Scopus, and the Saudi Digital Library—was conducted to identify peer-reviewed studies published between September 2015 and September 2025. Inclusion criteria focused on studies conducted exclusively in Ministry of Health, military, and university-affiliated hospitals. Eligible studies reported on nursing compliance with CLABSI prevention bundles and associated infection outcomes. Data were extracted using a standardized matrix and analyzed using a random-effects model to account for institutional variability.

Results:
Fifteen studies met inclusion criteria, encompassing 1,842 ICU patients across seven regions. Bundle components consistently included hand hygiene, maximal barrier precautions, chlorhexidine skin antisepsis, and daily line necessity review. Pooled analysis revealed a significant reduction in CLABSI rates (RR = 0.41, 95% CI: 0.30–0.55) in units with high nursing compliance (&gt;80%). Facilities with structured audits, electronic surveillance, and continuous nurse education demonstrated the most substantial improvements. Moderate heterogeneity (I² = 46%) reflected differences in staffing ratios, training intensity, and bundle fidelity.

Conclusion:
Nursing-led implementation of CLABSI prevention bundles in Saudi government hospitals is strongly associated with reduced infection rates. High compliance, supported by institutional oversight and standardized protocols, is essential to sustaining outcomes. These findings reinforce the need for national policy alignment, continuous nurse training, and robust surveillance systems to optimize infection control across public-sector ICUs.
DOI: 10.17632/7gb7mvwzxf.2
title: Bundle-Based Nursing Interventions for CLABSI Prevention in Saudi Government Hospitals: A Meta-Analysis of Compliance and Infection Outcomes Across Indexed Studies (September 2015–September 2025)

description: Background:
Central Line-Associated Bloodstream Infections (CLABSIs) are among the most preventable yet persistent healthcare-associated infections in intensive care units (ICUs). In Saudi Arabia, government hospitals have increasingly adopted bundle-based nursing protocols to mitigate CLABSI risks. This meta-analysis evaluates the effectiveness of nursing-led interventions in reducing CLABSI incidence and improving compliance across public-sector ICUs.

Methods:
A systematic search of indexed databases—including PubMed, Scopus, and the Saudi Digital Library—was conducted to identify peer-reviewed studies published between September 2015 and September 2025. Inclusion criteria focused on studies conducted exclusively in Ministry of Health, military, and university-affiliated hospitals. Eligible studies reported on nursing compliance with CLABSI prevention bundles and associated infection outcomes. Data were extracted using a standardized matrix and analyzed using a random-effects model to account for institutional variability.

Results:
Fifteen studies met inclusion criteria, encompassing 1,842 ICU patients across seven regions. Bundle components consistently included hand hygiene, maximal barrier precautions, chlorhexidine skin antisepsis, and daily line necessity review. Pooled analysis revealed a significant reduction in CLABSI rates (RR = 0.41, 95% CI: 0.30–0.55) in units with high nursing compliance (&gt;80%). Facilities with structured audits, electronic surveillance, and continuous nurse education demonstrated the most substantial improvements. Moderate heterogeneity (I² = 46%) reflected differences in staffing ratios, training intensity, and bundle fidelity.

Conclusion:
Nursing-led implementation of CLABSI prevention bundles in Saudi government hospitals is strongly associated with reduced infection rates. High compliance, supported by institutional oversight and standardized protocols, is essential to sustaining outcomes. These findings reinforce the need for national policy alignment, continuous nurse training, and robust surveillance systems to optimize infection control across public-sector ICUs.
DOI: 10.17632/cwcrcv3jnh
title: Quality of Nursing Education in the Philippines: A Meta Analysis of State Universities and Private Colleges, 2021–2025

description: meta analysis paper
DOI: 10.17632/cwcrcv3jnh.2
title: Quality of Nursing Education in the Philippines: A Meta Analysis of State Universities and Private Colleges, 2021–2025

description: meta analysis paper
DOI: 10.17632/ry2w736r8v
title: Burnout and Retention Among Junior Nurses: A Meta-Analysis of Global Evidence and Implications for Workforce Policy

description: Burnout and Retention Among Junior Nurses: A Meta-Analysis of Global Evidence and Implications for Workforce Policy