cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/zxjnpgvy3d
title: Toward a Universal Nursing Curriculum: A Systematic Review of Policy Frameworks Across ASEAN and the EU Author

description: Toward a Universal Nursing Curriculum: A Systematic Review of Policy Frameworks Across ASEAN and the EU

Author
Fernan N. Torreno
Affiliation: St. Paul University Manila, Philippines
Email: fernantorreno2@gmail.com
ORCID: 0009-0006-3884-0840
Corresponding Author
Famiela N. Torreno
Affiliation: Unibersidad De Dagupan, Philippines
Email: torrenofamiela@gmail.com
ORCID: 0009-0003-3808-3286

Abstract
Background: Diverse nursing education models, competency frameworks, and regulatory systems across ASEAN and the EU limit professional mobility, mutual recognition, and health workforce integration. A universal curriculum—grounded in shared core competencies—could support harmonization, quality, and cross-border mobility.
Objective: To synthesize policy frameworks, competency standards, and curricular models across ASEAN and the EU; identify gaps, convergence, and barriers; and propose actionable recommendations for a universal nursing curriculum.
Methods: We conducted a systematic review of peer-reviewed literature and official policy documents, mapping national curricula, regulatory requirements, and competency frameworks. We compared ASEAN country standards and EU-wide mandates (e.g., Directive 2005/36/EC on professional qualifications) ² and analyzed findings through thematic synthesis and benchmarking.
Results: Significant heterogeneity exists in entry-level qualifications (diploma vs bachelor), clinical hours required, competency domains emphasized (clinical care, leadership, research, informatics), assessment modalities, and accreditation practices. Some convergence is seen in ASEAN’s Mutual Recognition Arrangement (MRA) on Nursing Services¹. In the EU, the directive mandates certain minimum training hours and facilitates mobility². Cross-cutting issues include fragmented regulatory oversight, resource constraints, language/literacy barriers, and inconsistent standards.
Policy Implications: A universal curriculum should include a common core module set, modular electives for local adaptation, shared assessment tools, and regulatory alignment (CHED, PRC, ASEAN MRA, EU authorities). Implementation demands phased rollout, capacity-building, policy harmonization, and bilateral support mechanisms.
Conclusion: The path toward a universal nursing curriculum is complex but feasible. Strategic alignment across ASEAN and the EU, supported by institutional commitment and policy coordination, can improve nurse mobility, education quality, and regional health workforce resilience.
Keywords: nursing curriculum; competency harmonization; ASEAN; EU directive; mutual recognition; regulatory alignment
DOI: 10.17632/zxjnpgvy3d.1
title: Toward a Universal Nursing Curriculum: A Systematic Review of Policy Frameworks Across ASEAN and the EU Author

description: Toward a Universal Nursing Curriculum: A Systematic Review of Policy Frameworks Across ASEAN and the EU

Author
Fernan N. Torreno
Affiliation: St. Paul University Manila, Philippines
Email: fernantorreno2@gmail.com
ORCID: 0009-0006-3884-0840
Corresponding Author
Famiela N. Torreno
Affiliation: Unibersidad De Dagupan, Philippines
Email: torrenofamiela@gmail.com
ORCID: 0009-0003-3808-3286

Abstract
Background: Diverse nursing education models, competency frameworks, and regulatory systems across ASEAN and the EU limit professional mobility, mutual recognition, and health workforce integration. A universal curriculum—grounded in shared core competencies—could support harmonization, quality, and cross-border mobility.
Objective: To synthesize policy frameworks, competency standards, and curricular models across ASEAN and the EU; identify gaps, convergence, and barriers; and propose actionable recommendations for a universal nursing curriculum.
Methods: We conducted a systematic review of peer-reviewed literature and official policy documents, mapping national curricula, regulatory requirements, and competency frameworks. We compared ASEAN country standards and EU-wide mandates (e.g., Directive 2005/36/EC on professional qualifications) ² and analyzed findings through thematic synthesis and benchmarking.
Results: Significant heterogeneity exists in entry-level qualifications (diploma vs bachelor), clinical hours required, competency domains emphasized (clinical care, leadership, research, informatics), assessment modalities, and accreditation practices. Some convergence is seen in ASEAN’s Mutual Recognition Arrangement (MRA) on Nursing Services¹. In the EU, the directive mandates certain minimum training hours and facilitates mobility². Cross-cutting issues include fragmented regulatory oversight, resource constraints, language/literacy barriers, and inconsistent standards.
Policy Implications: A universal curriculum should include a common core module set, modular electives for local adaptation, shared assessment tools, and regulatory alignment (CHED, PRC, ASEAN MRA, EU authorities). Implementation demands phased rollout, capacity-building, policy harmonization, and bilateral support mechanisms.
Conclusion: The path toward a universal nursing curriculum is complex but feasible. Strategic alignment across ASEAN and the EU, supported by institutional commitment and policy coordination, can improve nurse mobility, education quality, and regional health workforce resilience.
Keywords: nursing curriculum; competency harmonization; ASEAN; EU directive; mutual recognition; regulatory alignment
DOI: 10.26023/p7nt-fksg-zc0k
title: R/V Mirai Radar Spectrum Width Data: DYNAMO Legacy Collection. Version 1.0

description: This data set contains the 10 minute resolution gridded spectrum width data from the C-band Doppler radar that was on-board the R/V Mirai during DYNAMO. The Mirai conducted two legs for DYNAMO and was on station from 30 September to 24 October 2011 for Leg 1 and from 30 October to 28 November 2011 for Leg 2. The data are in NetCDF format.
DOI: 10.15468/dl.4v27k4
title: Occurrence Download

description: A dataset containing 1655 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation, Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Herpailurus yagouaroundi"
 ]
}

 The dataset includes 1655 records from 110 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036709-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/yt9hrgw74f.2
title: Data for: Average major element composition of the upper continental crust derived from an integrated study of sedimentary and igneous rocks

description: Data (Table 1–3) for the manuscript by Han et al., Average major element composition of the upper continental crust derived from an integrated study of sedimentary and igneous rocks. This study reports the major element compositions of 139 worldwide loess samples. By systematically examining the elemental concentrations and ratios in loess, together with other sample types (igneous rocks, shales, and glacial diamictites), we propose a new compositional model for the upper continental crust (UCC).
DOI: 10.17632/z6g7hw2sfh
title: Lacticaseibacillus rhamnosus MDC 2012 whole-genome

description: Genetic and Biochemical Characterization of Lacticaseibacillus rhamnosus MDC 2012 and Its Potential in Processing of Raw Pork Meat
DOI: 10.17632/z6g7hw2sfh.3
title: Lacticaseibacillus rhamnosus MDC 2012 whole-genome

description: Genetic and Biochemical Characterization of Lacticaseibacillus rhamnosus MDC 2012 and Its Potential in Processing of Raw Pork Meat
DOI: 10.26023/3gx2-rcpy-r00b
title: R/V Revelle TOGA Radar Echo Top Height Data: DYNAMO Legacy Collection. Version 1.0

description: This data set contains the 10 minute resolution gridded echo top height data from the NASA TOGA C-band Doppler radar that was on-board the R/V Revelle during DYNAMO. The Revelle conducted two legs for DYNAMO and was on station from 1-30 October 2011 for Leg 1 and from 4 November to 8 December 2011 for Leg 2. The data are in NetCDF format.
DOI: 10.17632/9yd3ynn6wm
title: Bridging the Trust Gap: A Comprehensive Dataset on Responsible AI in Clinical Decision Support Systems

description: This dataset was created and analyzed for the article Responsible AI in Clinical Decision Support Systems: A Large-Scale Hybrid Review Using Topic Modeling and Qualitative Synthesis. It consists of a structured collection of 15,438 unique abstracts retrieved from PubMed and Scopus (2019–2025) on Artificial Intelligence in Clinical Decision Support Systems (AI-CDSS). The data underwent deduplication, cleaning, and preprocessing (tokenization and stop-word removal) before being analyzed using the BERTopic modeling pipeline (MiniLM embeddings, UMAP dimensional reduction, HDBSCAN clustering, and c-TF-IDF/KeyBERT for keyword extraction).

The quantitative phase produced 37 thematic clusters mapping the AI-CDSS research landscape. From these, two high-relevance clusters (focused on trust, explainability, and usability in CDSS and AI integration in oncology/imaging) were selected for qualitative synthesis. A purposive sample of 24 influential articles (dual-indexed in Scopus and Web of Science, ≥10 citations, full-text available) was coded across 11 predefined dimensions (e.g., domain, clinical task, integration, trust, explainability, ethics).

This dataset provides a transparent, reproducible foundation for large-scale hybrid systematic reviews, supporting both computational topic modeling and expert-driven qualitative evaluation. It is intended for use in auditing Responsible AI adoption in healthcare, particularly regarding trust, explainability, and ethical compliance.
DOI: 10.17632/9yd3ynn6wm.1
title: Bridging the Trust Gap: A Comprehensive Dataset on Responsible AI in Clinical Decision Support Systems

description: This dataset was created and analyzed for the article Responsible AI in Clinical Decision Support Systems: A Large-Scale Hybrid Review Using Topic Modeling and Qualitative Synthesis. It consists of a structured collection of 15,438 unique abstracts retrieved from PubMed and Scopus (2019–2025) on Artificial Intelligence in Clinical Decision Support Systems (AI-CDSS). The data underwent deduplication, cleaning, and preprocessing (tokenization and stop-word removal) before being analyzed using the BERTopic modeling pipeline (MiniLM embeddings, UMAP dimensional reduction, HDBSCAN clustering, and c-TF-IDF/KeyBERT for keyword extraction).

The quantitative phase produced 37 thematic clusters mapping the AI-CDSS research landscape. From these, two high-relevance clusters (focused on trust, explainability, and usability in CDSS and AI integration in oncology/imaging) were selected for qualitative synthesis. A purposive sample of 24 influential articles (dual-indexed in Scopus and Web of Science, ≥10 citations, full-text available) was coded across 11 predefined dimensions (e.g., domain, clinical task, integration, trust, explainability, ethics).

This dataset provides a transparent, reproducible foundation for large-scale hybrid systematic reviews, supporting both computational topic modeling and expert-driven qualitative evaluation. It is intended for use in auditing Responsible AI adoption in healthcare, particularly regarding trust, explainability, and ethical compliance.
DOI: 10.15468/dl.nkupem
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Parmentiera cereifera",
 "Country is India",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036713-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/jsksd9
title: Replication Data for: Broad-Based Categorical Eligibility Policy and SNAP Participation

description: data, code, and readme
DOI: 10.13140/rg.2.2.14041.99684
title: Questionnaire d'évaluation du stress
DOI: 10.26023/ng3g-5x9b-r0n
title: R/V Revelle TOGA Radar Rain Rate Data: DYNAMO Legacy Collection. Version 1.0

description: This data set contains the 10 minute resolution gridded rain rate data from the NASA TOGA C-band Doppler radar that was on-board the R/V Revelle during DYNAMO. The Revelle conducted two legs for DYNAMO and was on station from 1-30 October 2011 for Leg 1 and from 4 November to 8 December 2011 for Leg 2. The data are in NetCDF format.
DOI: 10.13140/rg.2.2.29141.49123
title: METER SECOND SPEED OF LIGHT By Panagiotis Stefanides
DOI: 10.6084/m9.figshare.28039478.v1
title: mixed_reality_stereo_vision_dataset

description: A study on the multimodal characterization of stereoscopic visual fatigue induced by mixed reality environments. Please refer to our GitHub repository in details.
DOI: 10.17632/c79hdnznb7
title: Etnoecologia na Reserva da Biosfera da Serra do Espinhaço, Brasil - Revisão Sistemática

description: This dataset contains Table 1 – List of publications that analyze local knowledge, use and management of biodiversity by traditional and local communities in the Serra do Espinhaço Biosphere Reserve; Table 2 - Knowledge and use of wild animals by traditional and local communities in the Serra do Espinhaço Biosphere Reserve; Table 3 - Plants known and/or used by traditional and local communities in the Serra do Espinhaço Biosphere Reserve, Brazil.
DOI: 10.17632/c79hdnznb7.1
title: Etnoecologia na Reserva da Biosfera da Serra do Espinhaço, Brasil - Revisão Sistemática

description: This dataset contains Table 1 – List of publications that analyze local knowledge, use and management of biodiversity by traditional and local communities in the Serra do Espinhaço Biosphere Reserve; Table 2 - Knowledge and use of wild animals by traditional and local communities in the Serra do Espinhaço Biosphere Reserve; Table 3 - Plants known and/or used by traditional and local communities in the Serra do Espinhaço Biosphere Reserve, Brazil.
DOI: 10.5281/zenodo.17238189
title: Dataset from Moura et al. 2025
DOI: 10.15468/dl.69j4a7
title: Occurrence Download

description: A dataset containing 9264 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (iNaturalist Research-grade Observations, Colección de Anfibios del Museo de Zoología QCAZ, Colección de Herpetología del Instituto de Ciencias Naturales (ICN-MHN-Her), KUBI Herpetology Collection, Amphibian, Reptile Collection (MHNG-HERP) of Muséum d'histoire naturelle de la Ville de Genève)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "PublishingOrg is one of (eac88d99-9f6c-4031-8fc4-8088f0e0dfe7, b554c320-0560-11d8-b851-b8a03c50a862, e62f0c10-13a1-4306-bdad-1e0a4c27d0d0, 28eb1a3f-1c15-4a95-931a-4af90ecb574d)",
 "TaxonKey is Centrolenidae"
 ]
}

 The dataset includes 9264 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036714-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/p5jvw28tzj.1
title: In Silico Dataset of Environmental Fate and Ecotoxicity Parameters for 17 Pharmaceuticals

description: This dataset presents a comprehensive screening-level assessment of 17 pharmaceuticals frequently detected in coastal and estuarine environments of Brazil. Physicochemical properties and predicted environmental fate parameters were obtained using EPI Suite™ (v4.11), OPERA (v2.8), and VEGA QSAR models, while ecotoxicological endpoints were compiled from regulatory databases and predictive algorithms. The dataset integrates persistence (half-lives, biodegradability), bioaccumulation (BCF/BAF), mobility (logKoc), and aquatic toxicity (acute and chronic values for algae, daphnids, and fish), supporting PBT (Persistence–Bioaccumulation–Toxicity) and PMT (Persistence–Mobility–Toxicity) screening according to European REACH criteria.

The package includes:

10 figures (PNG format): visualising STP removal efficiencies, persistence, bioaccumulation, mobility, aquatic toxicity profiles, PBT/PMT traffic-light classification, and priority rankings.

1 supplementary table (Excel format): containing raw model outputs, classification thresholds, and consolidated screening results for all 17 pharmaceuticals.

Figure captions (DOCX format): providing detailed descriptions and methodological notes for each figure.

All files are openly available and may be reused for comparative assessments, methodological replication, or policy-relevant prioritisation of emerging pollutants in aquatic ecosystems.
DOI: 10.26023/f42t-1bje-tq06
title: R/V Revelle TOGA Radar Rain Type Data: DYNAMO Legacy Collection. Version 1.0

description: This data set contains the 10 minute resolution gridded rain type (convective and stratiform) data from the NASA TOGA C-band Doppler radar that was on-board the R/V Revelle during DYNAMO. The Revelle conducted two legs for DYNAMO and was on station from 1-30 October 2011 for Leg 1 and from 4 November to 8 December 2011 for Leg 2. The data are in NetCDF format.
DOI: 10.5281/zenodo.17023601
title: Paper List SDM Application in Wastewater Management
DOI: 10.5281/zenodo.17244781
title: Paper List SDM Application in Wastewater Management
DOI: 10.25574/25142
title: Chandra X-ray Observatory ObsId 25142

description: High-resolution X-ray tomography of the western lobe of W50 - a PeVatron accelerator driven by SS 433's jets
DOI: 10.25574/25255
title: Chandra X-ray Observatory ObsId 25255

description: Mapping the Activity of the LINER I NGC 5005 from ~30 pc out to kpc scales
DOI: 10.25574/25256
title: Chandra X-ray Observatory ObsId 25256

description: COMPTON-THICK AGN: THE HUNT CONTINUES
DOI: 10.25574/25358
title: Chandra X-ray Observatory ObsId 25358

description: THE CHANDRA ROUTE TOWARDS DEFINING THE X-RAY PROPERTIES OF THE MOST LUMINOUS QUASARS IN THE UNIVERSE
DOI: 10.17632/cb2nvtrf35.1
title: Evaluation of a Humanized Protocol for Pediatric Brain Magnetic Resonance Imaging: Methodology and Outcomes

description: Conjunto de datos derivados de la comparación entre un protocolo humanizado (sin anestesia) y uno convencional (con anestesia) en IRM cerebral pediátrica, con variables de calidad de imagen, artefactos y preferencia diagnóstica.
DOI: 10.25574/25713
title: Chandra X-ray Observatory ObsId 25713

description: Illuminating a massive node in the Cosmic Web at redshift 3
DOI: 10.17632/rj5my599tk
title: Data from: Optimizing restoration outcomes in the Brazilian Cerrado: A spatial planning framework integrating endemic lizard biodiversity, connectivity, and costs

description: Given the extensive loss and fragmentation of natural areas in the Brazilian Cerrado, ecological restoration of degraded lands is essential to halt biodiversity decline in this globally significant hotspot. Ambitious restoration targets, limited financial resources, and data-deficient scenarios demand strategies that address these challenges while ensuring cost-effectiveness. We developed an innovative spatial prioritization framework using the prioritizr package in R to identify priority areas for restoration in the Cerrado, integrating endemic lizard biodiversity, functional connectivity, and restoration costs. For species with few occurrence records, we built Species Distribution Models (SDMs) based on phylogenetic inference, applying the novel ENphylo method recently proposed in the literature, while conventional SDMs were used for species with sufficient records. By combining total species richness and the richness of threatened species as proxies for biodiversity value, we accounted for both conservation urgency and representativeness. Functional connectivity was assessed by quantifying the contribution of each restorable area to landscape connectivity, whereas restoration cost was estimated using natural regeneration potential as a proxy. The optimization produced an efficient and replicable solution that identified four focal regions for restoration—central, southeastern, western, and northern Cerrado—balancing ecological value with implementation feasibility. These results highlight the need for strategic restoration in regions under heavy agricultural pressure and habitat fragmentation. Our approach advances restoration planning in data-deficient contexts by integrating cutting-edge biodiversity modeling and optimization tools, offering a robust framework to inform national and global restoration policies and biodiversity planning efforts across tropical ecosystems facing similar conservation and socio-economic challenges.
DOI: 10.17632/rj5my599tk.1
title: Data from: Optimizing restoration outcomes in the Brazilian Cerrado: A spatial planning framework integrating endemic lizard biodiversity, connectivity, and costs

description: Given the extensive loss and fragmentation of natural areas in the Brazilian Cerrado, ecological restoration of degraded lands is essential to halt biodiversity decline in this globally significant hotspot. Ambitious restoration targets, limited financial resources, and data-deficient scenarios demand strategies that address these challenges while ensuring cost-effectiveness. We developed an innovative spatial prioritization framework using the prioritizr package in R to identify priority areas for restoration in the Cerrado, integrating endemic lizard biodiversity, functional connectivity, and restoration costs. For species with few occurrence records, we built Species Distribution Models (SDMs) based on phylogenetic inference, applying the novel ENphylo method recently proposed in the literature, while conventional SDMs were used for species with sufficient records. By combining total species richness and the richness of threatened species as proxies for biodiversity value, we accounted for both conservation urgency and representativeness. Functional connectivity was assessed by quantifying the contribution of each restorable area to landscape connectivity, whereas restoration cost was estimated using natural regeneration potential as a proxy. The optimization produced an efficient and replicable solution that identified four focal regions for restoration—central, southeastern, western, and northern Cerrado—balancing ecological value with implementation feasibility. These results highlight the need for strategic restoration in regions under heavy agricultural pressure and habitat fragmentation. Our approach advances restoration planning in data-deficient contexts by integrating cutting-edge biodiversity modeling and optimization tools, offering a robust framework to inform national and global restoration policies and biodiversity planning efforts across tropical ecosystems facing similar conservation and socio-economic challenges.
DOI: 10.26023/8wks-ykdb-ew0m
title: R/V Revelle TOGA Radar Reflectivity Data: DYNAMO Legacy Collection. Version 1.0

description: This data set contains the 10 minute resolution gridded radar reflectivity data from the NASA TOGA C-band Doppler radar that was on-board the R/V Revelle during DYNAMO. The Revelle conducted two legs for DYNAMO and was on station from 1-30 October 2011 for Leg 1 and from 4 November to 8 December 2011 for Leg 2. The data are in NetCDF format.
DOI: 10.25574/27943
title: Chandra X-ray Observatory ObsId 27943

description: Determining the High-Energy Emission Mechanism in Extragalactic Jets with HST
DOI: 10.48420/30112864
title: Supporting File 1 - Reflected Light Images and Phase Maps.pdf

description: Thermal Metamorphism of Enstatite Chondrites - Supporting File 1 - Reflected Light Images and Phase Maps. This slide pack contains a images for a suite of enstatite chondrite meteorites. Both reflected light images and phase maps are included. The latter were generated using XMapTools.