cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.27908148
title: Models_effective permeability.zip

description: These models were used to determine the Representative Elementary Volume (REV) and effective permeability for facies within the Bunter Sandstone Formation.
DOI: 10.6084/m9.figshare.27908148.v1
title: Models_effective permeability.zip

description: These models were used to determine the Representative Elementary Volume (REV) and effective permeability for facies within the Bunter Sandstone Formation.
DOI: 10.34740/kaggle/dsv/10017805
title: Forex Exchange Rates Since 2004 (Updated Daily)
DOI: 10.17632/tkrhg5n4m4
title: Forecasting Non-Stationary and Multi-Regime Time Series

description: These data used for "A Grey–Machine Learning Hybrid Approach for Forecasting Non-Stationary and Multi-Regime Time Series" and contain Python codes.
DOI: 10.3886/e242266
title: Cross River State University of Science &Technology, Calabar 2026/2027 Pre-Degree Form, Part-time Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542

description: Cross River State University of Science &Technology, Calabar 2026/2027 Pre-Degree Form, Part-time Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542
DOI: 10.17632/tkrhg5n4m4.1
title: Forecasting Non-Stationary and Multi-Regime Time Series

description: These data used for "A Grey–Machine Learning Hybrid Approach for Forecasting Non-Stationary and Multi-Regime Time Series" and contain Python codes.
DOI: 10.17632/bpkksc9v5s.3
title: Android Malware Analysis

description: The uploaded dataset (CIC-AndMal2017) contain curated information for Android malware analysis. The dataset is provided in CSV format and includes features selected for effective classification and detection of various malware families and benign applications. It is structured with clearly labeled columns for features and class labels, enabling straightforward use for research, analysis, and benchmarking in Android malware detection studies. This CSV dataset were generated from existing publicly available Android malware dataset. We extracted and organized the relevant features into CSV format to facilitate analysis and reproducibility.
DOI: 10.17632/75xt7jnmtv
title: Data and computation for "Devising investments for carbon offset by multiple-objective portfolio selection and exploring the capital asset pricing models"

description: Data and computation
DOI: 10.17632/75xt7jnmtv.1
title: Data and computation for "Devising investments for carbon offset by multiple-objective portfolio selection and exploring the capital asset pricing models"

description: Data and computation
DOI: 10.17632/ph6pjk33h4
title: EFFECT OF DURAL TUBE RELEASE VERSUS 3D MYOFASCIAL RELEASE ON PAIN, POSTERIOR MYOFASCIAL CHAIN TRIGGER POINTS AND FLEXION ROTATION RANGE IN INDIVIDUALS WITH CERVICOGENIC HEADACHE: RANDOMIZED CLINICAL TRIAL

description: Background: Cervicogenic headache (CGH) is a secondary headache disorder originating from dysfunction of cervical spine structures, including muscles, joints and the dural tube. Manual therapy is commonly used for CGH management; however, evidence comparing dural tube release (DTR) and three-dimensional myofascial release (3D-MFR) remains limited. Hence this study aims to determine and compare the effect of DTR and 3D-MFR on pain intensity, posterior myofascial chain trigger point sensitivity and cervical flexion–rotation range (CFRR) in individuals with cervicogenic headache.
Methods: This double blinded randomized clinical trial included 48 participants aged 30–55 years diagnosed with CGH. Participants were randomly allocated to receive either DTR or 3D-MFR. Both interventions were administered for 30 minutes per session, five sessions per week for two weeks. Outcome measures included pain intensity assessed using the visual analogue scale (VAS), trigger point sensitivity measured by pressure pain threshold (PPT) and CFRR. Assessments were performed at baseline and after the tenth treatment session.
Results: Within-group analysis demonstrated significant improvements in pain intensity, pressure pain threshold, and cervical flexion–rotation range in both groups following intervention (p &lt; 0.001). Between-group analysis revealed significantly greater improvements in the DTR group compared with the 3D-MFR group for all outcome measures post-intervention (p &lt; 0.05). The magnitude of change in both groups exceeded the minimal clinically important difference for VAS, PPT, and CFRR, with large effect sizes observed, particularly favoring dural tube release.
Conclusions: DTR and 3D-MFR proved to be effective interventions for reducing pain, decreasing trigger point sensitivity and increasing CFRR in individuals with CGH. However, dural tube release demonstrated superior clinical outcomes, suggesting that interventions targeting dural mechanics may provide enhanced benefits in CGH management.
DOI: 10.17632/ph6pjk33h4.1
title: EFFECT OF DURAL TUBE RELEASE VERSUS 3D MYOFASCIAL RELEASE ON PAIN, POSTERIOR MYOFASCIAL CHAIN TRIGGER POINTS AND FLEXION ROTATION RANGE IN INDIVIDUALS WITH CERVICOGENIC HEADACHE: RANDOMIZED CLINICAL TRIAL

description: Background: Cervicogenic headache (CGH) is a secondary headache disorder originating from dysfunction of cervical spine structures, including muscles, joints and the dural tube. Manual therapy is commonly used for CGH management; however, evidence comparing dural tube release (DTR) and three-dimensional myofascial release (3D-MFR) remains limited. Hence this study aims to determine and compare the effect of DTR and 3D-MFR on pain intensity, posterior myofascial chain trigger point sensitivity and cervical flexion–rotation range (CFRR) in individuals with cervicogenic headache.
Methods: This double blinded randomized clinical trial included 48 participants aged 30–55 years diagnosed with CGH. Participants were randomly allocated to receive either DTR or 3D-MFR. Both interventions were administered for 30 minutes per session, five sessions per week for two weeks. Outcome measures included pain intensity assessed using the visual analogue scale (VAS), trigger point sensitivity measured by pressure pain threshold (PPT) and CFRR. Assessments were performed at baseline and after the tenth treatment session.
Results: Within-group analysis demonstrated significant improvements in pain intensity, pressure pain threshold, and cervical flexion–rotation range in both groups following intervention (p &lt; 0.001). Between-group analysis revealed significantly greater improvements in the DTR group compared with the 3D-MFR group for all outcome measures post-intervention (p &lt; 0.05). The magnitude of change in both groups exceeded the minimal clinically important difference for VAS, PPT, and CFRR, with large effect sizes observed, particularly favoring dural tube release.
Conclusions: DTR and 3D-MFR proved to be effective interventions for reducing pain, decreasing trigger point sensitivity and increasing CFRR in individuals with CGH. However, dural tube release demonstrated superior clinical outcomes, suggesting that interventions targeting dural mechanics may provide enhanced benefits in CGH management.
DOI: 10.17632/cw94cr9bpj
title: Rain Inducted Landslide Data

description: This dataset records information on rain-induced landslides used in this study
DOI: 10.17632/cw94cr9bpj.1
title: Rain Inducted Landslide Data

description: This dataset records information on rain-induced landslides used in this study
DOI: 10.17632/p383tvv8z4
title: Good and bad classification of pear ( Pyrus communis )

description: Pears are classified based on physical appearance, texture, and internal biochemical composition. High-quality ("good") pears are defined by their varietal typicality and lack of defects, while "bad" pears exhibit signs of spoilage, over-ripeness, or physiological disorders.Nutritional Profile :
One medium raw pear typically contains:
Calories: 101 kcal
Fiber: 6g (including both soluble and insoluble fiber)
Carbohydrates: 27g
Sugar: 17g (all natural, primarily fructose)
Protein: 1g
Fat: &lt;1g (cholesterol-free and fat-free) 
Vitamin C: Provides 6–12% of the Daily Value (DV), supporting immune function and skin health.
Vitamin K: Roughly 7% of the DV, which is crucial for bone health and proper blood clotting.
Potassium: Approximately 190–206mg (4–5% DV), which helps maintain healthy blood pressure and heart function.
Copper: About 16% of the DV, an essential mineral for nerve function and iron absorption.
Antioxidants: Rich in flavonoids (like quercetin) and polyphenols, primarily concentrated in the peel, which may have six times more antioxidants than the flesh.Sample Collection: 
Fresh, appealing, pears were bought from local market of Malda, West Bengal, India (24°59'N, 88°08'E). 
Image Capturing: 
Images are captured by VIVOY21 phone having 51-inch IPS LCD, HD+ (720 x 1600 pixels) resolution display , MediaTek Helio P35 Octa-core processor, 4GB RAM (expandable by 1GB virtual RAM),64GB or 128GB storage (expandable up to 1TB via microSD), Dual: 13MP (main) + 2MP (macro) back camera, 8MP front camera, Funtouch OS 11.1 (based on Android 11) operating system, 164.3 x 76.1 x 8 mm dimensions, 182 g weight
Image acquisition was carried out daily for 20 consecutive days after purchase to monitor visual quality changes and shelf-life deterioration. Approximately 100 images were captured per day, out of which 40-50 high-quality images per day were selected for further analysis. The image dataset was used to study progressive changes in color, texture, surface integrity, and microbial spoilage during storage. This systematic image acquisition protocol enabled continuous non-destructive monitoring of pear quality throughout the period.
In this dataset, the bad folder contains 500 images and the good folder also contains 500 images of Pyrous communis (pear).
Therefore, the total number of images in the dataset is 1000.
DOI: 10.17632/p383tvv8z4.1
title: Good and bad classification of pear ( Pyrus communis )

description: Pears are classified based on physical appearance, texture, and internal biochemical composition. High-quality ("good") pears are defined by their varietal typicality and lack of defects, while "bad" pears exhibit signs of spoilage, over-ripeness, or physiological disorders.Nutritional Profile :
One medium raw pear typically contains:
Calories: 101 kcal
Fiber: 6g (including both soluble and insoluble fiber)
Carbohydrates: 27g
Sugar: 17g (all natural, primarily fructose)
Protein: 1g
Fat: &lt;1g (cholesterol-free and fat-free) 
Vitamin C: Provides 6–12% of the Daily Value (DV), supporting immune function and skin health.
Vitamin K: Roughly 7% of the DV, which is crucial for bone health and proper blood clotting.
Potassium: Approximately 190–206mg (4–5% DV), which helps maintain healthy blood pressure and heart function.
Copper: About 16% of the DV, an essential mineral for nerve function and iron absorption.
Antioxidants: Rich in flavonoids (like quercetin) and polyphenols, primarily concentrated in the peel, which may have six times more antioxidants than the flesh.Sample Collection: 
Fresh, appealing, pears were bought from local market of Malda, West Bengal, India (24°59'N, 88°08'E). 
Image Capturing: 
Images are captured by VIVOY21 phone having 51-inch IPS LCD, HD+ (720 x 1600 pixels) resolution display , MediaTek Helio P35 Octa-core processor, 4GB RAM (expandable by 1GB virtual RAM),64GB or 128GB storage (expandable up to 1TB via microSD), Dual: 13MP (main) + 2MP (macro) back camera, 8MP front camera, Funtouch OS 11.1 (based on Android 11) operating system, 164.3 x 76.1 x 8 mm dimensions, 182 g weight
Image acquisition was carried out daily for 20 consecutive days after purchase to monitor visual quality changes and shelf-life deterioration. Approximately 100 images were captured per day, out of which 40-50 high-quality images per day were selected for further analysis. The image dataset was used to study progressive changes in color, texture, surface integrity, and microbial spoilage during storage. This systematic image acquisition protocol enabled continuous non-destructive monitoring of pear quality throughout the period.
In this dataset, the bad folder contains 500 images and the good folder also contains 500 images of Pyrous communis (pear).
Therefore, the total number of images in the dataset is 1000.
DOI: 10.17632/ctwbz2jb5f
title: Benchmarking Pharmacy Education: A Meta-Analysis of the CHED BS Pharmacy Curriculum and Australia’s Bachelor of Pharmacy (Honours) Program

description: This study utilized a curated dataset comprising official curricular documents, regulatory frameworks, and institutional handbooks relevant to undergraduate pharmacy education in the Philippines and Australia. The dataset was constructed through a systematic document review guided by the PRISMA framework, ensuring transparency and reproducibility in source selection.

The primary data sources included:

1. CHED Memorandum Order No. 25, s. 2021, which outlines the revised Bachelor of Science in Pharmacy curriculum mandated by the Commission on Higher Education (CHED) in the Philippines.
2. The Monash University Handbook (2023) detailing the structure, learning outcomes, and competency domains of the Bachelor of Pharmacy (Honours) program in Australia.
3. Supplementary documents such as PACOP (Philippine Association of Colleges of Pharmacy) reports, the FIP Global Competency Framework, and select international pharmacy education standards were included to contextualize and validate thematic comparisons.


The dataset was filtered to include only documents that explicitly described curricular structure, internship requirements, competency integration, and learning outcomes. Non-curricular materials, promotional content, and duplicate entries were excluded during the screening phase. The final dataset consisted of 10 documents, each subjected to thematic analysis.

Each document was coded manually to extract information across six competency domains: Foundational Sciences, Clinical Integration, Pharmacoeconomics, Global Health, Informatics, and Research. These domains were selected based on international benchmarks and relevance to evolving pharmacy practice. Data were organized into comparative matrices and visualized using radar charts and flow diagrams (see Figure 1 and Figure 2).

The dataset enabled a structured comparison of curricular emphasis, internship models, and thematic integration across two national contexts. It served as the foundation for identifying gaps, overlaps, and opportunities for harmonizing pharmacy education globally. All documents were publicly available and accessed between June and August 2025.

This dataset is not numerical but qualitative and policy-driven, making it suitable for thematic synthesis and curriculum mapping. It reflects both regulatory intent and institutional implementation, offering insights into how competencies are prioritized and delivered in pharmacy education.
DOI: 10.17632/ctwbz2jb5f.3
title: Benchmarking Pharmacy Education: A Meta-Analysis of the CHED BS Pharmacy Curriculum and Australia’s Bachelor of Pharmacy (Honours) Program

description: This study utilized a curated dataset comprising official curricular documents, regulatory frameworks, and institutional handbooks relevant to undergraduate pharmacy education in the Philippines and Australia. The dataset was constructed through a systematic document review guided by the PRISMA framework, ensuring transparency and reproducibility in source selection.

The primary data sources included:

1. CHED Memorandum Order No. 25, s. 2021, which outlines the revised Bachelor of Science in Pharmacy curriculum mandated by the Commission on Higher Education (CHED) in the Philippines.
2. The Monash University Handbook (2023) detailing the structure, learning outcomes, and competency domains of the Bachelor of Pharmacy (Honours) program in Australia.
3. Supplementary documents such as PACOP (Philippine Association of Colleges of Pharmacy) reports, the FIP Global Competency Framework, and select international pharmacy education standards were included to contextualize and validate thematic comparisons.


The dataset was filtered to include only documents that explicitly described curricular structure, internship requirements, competency integration, and learning outcomes. Non-curricular materials, promotional content, and duplicate entries were excluded during the screening phase. The final dataset consisted of 10 documents, each subjected to thematic analysis.

Each document was coded manually to extract information across six competency domains: Foundational Sciences, Clinical Integration, Pharmacoeconomics, Global Health, Informatics, and Research. These domains were selected based on international benchmarks and relevance to evolving pharmacy practice. Data were organized into comparative matrices and visualized using radar charts and flow diagrams (see Figure 1 and Figure 2).

The dataset enabled a structured comparison of curricular emphasis, internship models, and thematic integration across two national contexts. It served as the foundation for identifying gaps, overlaps, and opportunities for harmonizing pharmacy education globally. All documents were publicly available and accessed between June and August 2025.

This dataset is not numerical but qualitative and policy-driven, making it suitable for thematic synthesis and curriculum mapping. It reflects both regulatory intent and institutional implementation, offering insights into how competencies are prioritized and delivered in pharmacy education.
DOI: 10.5281/zenodo.18130657
title: costus_afer_spades_01.fasta.gz
DOI: 10.5281/zenodo.18130656
title: costus_afer_spades_01.fasta.gz
DOI: 10.17632/6tykgn9rtf
title: Quality of Life After Mastectomy: A Systematic Review and Meta-Analysis of Patient-Reported Outcomes and the Role of Nursing Care (2000–2025)

description: Quality of Life After Mastectomy: A Systematic Review and Meta-Analysis of Patient-Reported Outcomes and the Role of Nursing Care (2000–2025
DOI: 10.17632/6tykgn9rtf.3
title: Quality of Life After Mastectomy: A Systematic Review and Meta-Analysis of Patient-Reported Outcomes and the Role of Nursing Care (2000–2025)

description: Quality of Life After Mastectomy: A Systematic Review and Meta-Analysis of Patient-Reported Outcomes and the Role of Nursing Care (2000–2025
DOI: 10.17632/vjh4tjfk7y
title: Global Challenges in Rural Nursing: A Systematic Review and Meta‑Analysis of Recruitment, Retention, and Practice Across Europe and Asia

description: This systematic review and meta-analysis examines the persistent challenges facing rural nursing workforces in Europe and Asia, focusing on recruitment, retention, and practice experiences. Drawing on 20 studies published between 2000 and 2025, the research integrates quantitative and qualitative evidence to identify both shared and region-specific determinants affecting rural nurses.

Quantitative findings reveal that rural nurses in both regions are significantly more likely to express intent to leave their positions compared to urban counterparts. The pooled odds ratio was 1.5 in Europe and 1.7 in Asia. Job satisfaction was notably lower among rural nurses, with standardized mean differences of –0.32 in Europe and –0.28 in Asia. Burnout levels were higher in Asia (SMD = 0.35) than in Europe (SMD = 0.25), and five-year retention rates were 62% in Europe versus 48% in Asia. These disparities highlight systemic issues such as resource limitations, migration pressures, and policy gaps.

Thematic synthesis of qualitative studies identified four overarching challenges: professional isolation, expanded scope of practice, community embeddedness, and the tension between personal sacrifice and professional fulfillment. European studies emphasized policy incentives and intra-EU mobility, while Asian studies highlighted family obligations, international migration, and infrastructure deficits.

Subgroup and meta-regression analyses further revealed that lower-middle-income Asian countries had higher turnover intent, and community nurses experienced greater burnout than hospital-based peers. GDP per capita was inversely associated with turnover intent, underscoring the influence of economic context.

Policy recommendations include enhancing professional development and harmonizing incentives in Europe, and investing in rural infrastructure and family-supportive policies in Asia. Globally, the study advocates for context-sensitive workforce strategies aligned with WHO guidelines and encourages cross-regional learning.

Overall, the review underscores the urgent need for tailored interventions to address rural nursing shortages, balancing universal challenges with region-specific realities to ensure equitable healthcare access across diverse settings.
DOI: 10.17632/vjh4tjfk7y.3
title: Global Challenges in Rural Nursing: A Systematic Review and Meta‑Analysis of Recruitment, Retention, and Practice Across Europe and Asia

description: This systematic review and meta-analysis examines the persistent challenges facing rural nursing workforces in Europe and Asia, focusing on recruitment, retention, and practice experiences. Drawing on 20 studies published between 2000 and 2025, the research integrates quantitative and qualitative evidence to identify both shared and region-specific determinants affecting rural nurses.

Quantitative findings reveal that rural nurses in both regions are significantly more likely to express intent to leave their positions compared to urban counterparts. The pooled odds ratio was 1.5 in Europe and 1.7 in Asia. Job satisfaction was notably lower among rural nurses, with standardized mean differences of –0.32 in Europe and –0.28 in Asia. Burnout levels were higher in Asia (SMD = 0.35) than in Europe (SMD = 0.25), and five-year retention rates were 62% in Europe versus 48% in Asia. These disparities highlight systemic issues such as resource limitations, migration pressures, and policy gaps.

Thematic synthesis of qualitative studies identified four overarching challenges: professional isolation, expanded scope of practice, community embeddedness, and the tension between personal sacrifice and professional fulfillment. European studies emphasized policy incentives and intra-EU mobility, while Asian studies highlighted family obligations, international migration, and infrastructure deficits.

Subgroup and meta-regression analyses further revealed that lower-middle-income Asian countries had higher turnover intent, and community nurses experienced greater burnout than hospital-based peers. GDP per capita was inversely associated with turnover intent, underscoring the influence of economic context.

Policy recommendations include enhancing professional development and harmonizing incentives in Europe, and investing in rural infrastructure and family-supportive policies in Asia. Globally, the study advocates for context-sensitive workforce strategies aligned with WHO guidelines and encourages cross-regional learning.

Overall, the review underscores the urgent need for tailored interventions to address rural nursing shortages, balancing universal challenges with region-specific realities to ensure equitable healthcare access across diverse settings.
DOI: 10.3886/e242267
title: Delta State University Abraka 2026/2027 Pre-Degree Form, Part-time Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542

description: Delta State University Abraka 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.ybh3q5
title: Occurrence Download

description: A dataset containing 3050 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Germany",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cricetus cricetus"
 ]
}

 The dataset includes 3050 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070960-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.