cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/vjtsx5w882
title: EXCAV-CLAY/15/2830 database

description: A total of 332 case histories (332 sites) of excavations in clays are collected in the EXCAV-CLAY/15/2830 database, covering 20 countries/regions worldwide, including Austria, Brazil, Canada, China, Egypt, France, Germany, Hong Kong, Indonesia, Italy, Japan, Norway, Portugal, Singapore, South Africa, Switzerland, Taiwan, Thailand, United Kingdom (UK), and United States (US) (see Table S1 in Supplementary Material). Most sites are located in Taipei, Taiwan (71% of the total sites). Each site usually consists of multiple instrumentations (inclinometer and settlement measurement) with multiple excavation stages. The database contains a total of 2830 excavation stages. The types of retaining wall system in the EXCAV-CLAY/15/2830 database consist of concrete diaphragm wall (DW), contiguous pile wall (CPW), secant pile wall (SPW), and sheet piles (SP), whereas the construction methods consist of bottom-up method (BU, temporary steel strut as lateral support) and top-down method (TD, concrete floor slab as lateral support). According to the type of movement-control measure used in each site, the sites in the database are classified into sites with ground improvement (GI sites), sites with buttress walls (BW sites), sites with cross-walls (CW sites), and sites without movement-control measures (NR sites, denoting “no reinforcement”). Some sites are hybrid, e.g., combining both BW and CW. The GI sites collected in this database are with “full improvement” that span across the excavation area, which is usually achieved by a series of overlapping improvement piles, resulting in a “continuous” base slab (e.g., jet grout slab) over a certain range of depth. The basic information for the case histories, including excavation dimensions, field measurements, soil and structural parameters, and system stiffnesses, is included in Supplementary Material (see Table S1).
DOI: 10.17632/vjtsx5w882.1
title: EXCAV-CLAY/15/2830 database

description: A total of 332 case histories (332 sites) of excavations in clays are collected in the EXCAV-CLAY/15/2830 database, covering 20 countries/regions worldwide, including Austria, Brazil, Canada, China, Egypt, France, Germany, Hong Kong, Indonesia, Italy, Japan, Norway, Portugal, Singapore, South Africa, Switzerland, Taiwan, Thailand, United Kingdom (UK), and United States (US) (see Table S1 in Supplementary Material). Most sites are located in Taipei, Taiwan (71% of the total sites). Each site usually consists of multiple instrumentations (inclinometer and settlement measurement) with multiple excavation stages. The database contains a total of 2830 excavation stages. The types of retaining wall system in the EXCAV-CLAY/15/2830 database consist of concrete diaphragm wall (DW), contiguous pile wall (CPW), secant pile wall (SPW), and sheet piles (SP), whereas the construction methods consist of bottom-up method (BU, temporary steel strut as lateral support) and top-down method (TD, concrete floor slab as lateral support). According to the type of movement-control measure used in each site, the sites in the database are classified into sites with ground improvement (GI sites), sites with buttress walls (BW sites), sites with cross-walls (CW sites), and sites without movement-control measures (NR sites, denoting “no reinforcement”). Some sites are hybrid, e.g., combining both BW and CW. The GI sites collected in this database are with “full improvement” that span across the excavation area, which is usually achieved by a series of overlapping improvement piles, resulting in a “continuous” base slab (e.g., jet grout slab) over a certain range of depth. The basic information for the case histories, including excavation dimensions, field measurements, soil and structural parameters, and system stiffnesses, is included in Supplementary Material (see Table S1).
DOI: 10.17632/nmz9z2wwdj
title: Saudization and the Decline of Foreign Nurse Recruitment: A Policy Review of Workforce Reforms in Saudi Arabia

description: Background: Saudi Arabia has historically relied on foreign nurses, particularly from the Philippines, India, and other migrant-sending countries, to meet its healthcare workforce needs. In recent years, reforms under Vision 2030 and Saudization have shifted national policy toward developing a domestic nursing workforce. This transition has reduced opportunities for foreign nurse recruitment and created significant implications for health workforce planning and system sustainability.

Objective: This review examines the policy context and drivers behind the declining recruitment of foreign nurses in Saudi Arabia and analyzes the potential impacts of workforce localization on healthcare delivery, nursing education, and global nurse migration.

Methods: A narrative policy review was conducted using publicly available sources, including Vision 2030 policy documents, Ministry of Health workforce reports, Saudi Commission for Health Specialties publications, WHO Global Health Observatory data, World Bank labor statistics, and peer-reviewed literature published between 2000 and 2025. Thematic synthesis identified the main policy drivers, strategies, and consequences of reduced foreign nurse recruitment.

Results: Five primary policy drivers were identified:
 1. Workforce localization under Vision 2030, with quotas for national nurse employment.
 2. Economic diversification goals aimed at reducing dependency on expatriate labor and retaining salaries within the Kingdom.
 3. Credentialing reforms introducing more stringent licensing and Arabic language requirements.
 4. Gender equity initiatives promoting nursing as a career for Saudi women.
 5. Global labor market dynamics within the Gulf Cooperation Council (GCC).

These drivers have significant implications, including short-term staffing gaps in specialized units, greater pressure to mentor novice Saudi graduates, increased workload and burnout risk for current staff, economic impacts on migrant-sending countries, and challenges to system resilience if localization progresses faster than workforce readiness.

Conclusion: Saudization policies are reshaping Saudi Arabia’s nursing workforce. While they align with long-term national employment and economic objectives, careful planning and transitional strategies are needed to balance localization with patient care continuity and health system sustainability.

Keywords: Saudization; Vision 2030; nursing workforce; foreign nurses; Saudi Arabia; health policy; workforce localization
DOI: 10.17632/nmz9z2wwdj.1
title: Saudization and the Decline of Foreign Nurse Recruitment: A Policy Review of Workforce Reforms in Saudi Arabia

description: Background: Saudi Arabia has historically relied on foreign nurses, particularly from the Philippines, India, and other migrant-sending countries, to meet its healthcare workforce needs. In recent years, reforms under Vision 2030 and Saudization have shifted national policy toward developing a domestic nursing workforce. This transition has reduced opportunities for foreign nurse recruitment and created significant implications for health workforce planning and system sustainability.

Objective: This review examines the policy context and drivers behind the declining recruitment of foreign nurses in Saudi Arabia and analyzes the potential impacts of workforce localization on healthcare delivery, nursing education, and global nurse migration.

Methods: A narrative policy review was conducted using publicly available sources, including Vision 2030 policy documents, Ministry of Health workforce reports, Saudi Commission for Health Specialties publications, WHO Global Health Observatory data, World Bank labor statistics, and peer-reviewed literature published between 2000 and 2025. Thematic synthesis identified the main policy drivers, strategies, and consequences of reduced foreign nurse recruitment.

Results: Five primary policy drivers were identified:
 1. Workforce localization under Vision 2030, with quotas for national nurse employment.
 2. Economic diversification goals aimed at reducing dependency on expatriate labor and retaining salaries within the Kingdom.
 3. Credentialing reforms introducing more stringent licensing and Arabic language requirements.
 4. Gender equity initiatives promoting nursing as a career for Saudi women.
 5. Global labor market dynamics within the Gulf Cooperation Council (GCC).

These drivers have significant implications, including short-term staffing gaps in specialized units, greater pressure to mentor novice Saudi graduates, increased workload and burnout risk for current staff, economic impacts on migrant-sending countries, and challenges to system resilience if localization progresses faster than workforce readiness.

Conclusion: Saudization policies are reshaping Saudi Arabia’s nursing workforce. While they align with long-term national employment and economic objectives, careful planning and transitional strategies are needed to balance localization with patient care continuity and health system sustainability.

Keywords: Saudization; Vision 2030; nursing workforce; foreign nurses; Saudi Arabia; health policy; workforce localization
DOI: 10.17632/wfz87tf6mb
title: Operações de Paz e os interesses do Estado Brasileiro - dados de entrada

description: Planilha de respostas dos Especialistas - dados de entrada
DOI: 10.17026/ar/gl0ejj
title: PAN-00104965 - coin/coin-related, Constantinus I en zonen (306-361), naar, nummus

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00104965&lt;/p&gt;
description: Modified: 2025-05-06T17:30:30+02:00
DOI: 10.17632/wfz87tf6mb.1
title: Operações de Paz e os interesses do Estado Brasileiro - dados de entrada

description: Planilha de respostas dos Especialistas - dados de entrada
DOI: 10.17632/t2dygzcsyt.2
title: AI4RSE

description: This dataset supports the study titled “Advancing Research Software Engineering with AI: A Research Framework”, which explores the emerging domain of Artificial Intelligence for Research Software Engineering (AI4RSE). It contains all materials used in the large-scale empirical analysis of over 1,500 open-source research software repositories.

The repository includes:

1) Repository Metadata and Scores: A curated list of 1,512 research software repositories hosted on Zenodo, along with associated metadata extracted from GitHub. Each entry includes annotations for AI usage, engineering maturity, and compliance with the FAIR Principles for Research Software (FAIR4RS).

2) IEEE Taxonomy Mapping: A filtered subset of IEEE Taxonomy 2025 terms used to categorize the repositories and structure the domain-specific analysis.

3) Related Literature: A collection of key papers and survey articles that informed the theoretical framing of AI4RSE, quadrant modeling, and reproducibility metrics.

4) Analysis Scripts: Python and Jupyter-based scripts used to collect, process, score, and classify the repository data. These include tools for static and semantic code inspection, GenAI usage detection, FAIR4RS checks, and quadrant classification.

All materials are made available to promote transparency, reproducibility, and further research at the intersection of AI, software engineering, and open science.
DOI: 10.17632/6xnbgvjvx9
title: Supplemental Material - Investigating Barriers to Systemic Janus Kinase Inhibitor Access for Alopecia Areata

description: Supplemental tables for the publication entitled, "Investigating Barriers to Systemic Janus Kinase Inhibitor Access for Alopecia Areata."
DOI: 10.17632/6xnbgvjvx9.1
title: Supplemental Material - Investigating Barriers to Systemic Janus Kinase Inhibitor Access for Alopecia Areata

description: Supplemental tables for the publication entitled, "Investigating Barriers to Systemic Janus Kinase Inhibitor Access for Alopecia Areata."
DOI: 10.17026/ar/octuvv
title: PAN-00117985 - smelt waste or lump of gold or silver

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00117985&lt;/p&gt;
description: Modified: 2025-07-06T12:10:15+02:00
DOI: 10.17632/byyysjj462
title: Peruvian-Cotton - Annotated Dataset of Gossypium barbadense Fruits in Peruvian Crops

description: This dataset contains images and annotations used in the study “Automated Detection and Counting of Gossypium barbadense Fruits in Peruvian Crops Using Convolutional Neural Networks.”
When using this dataset, please cite:
Ballena-Ruiz, J.; Arcila-Diaz, J.; Tuesta-Monteza, V. Automated Detection and Counting of Gossypium barbadense Fruits in Peruvian Crops Using Convolutional Neural Networks. AgriEngineering 2025, 7, 152. https://doi.org/10.3390/agriengineering7050152

Data collection was carried out in two cotton crop plots located in the district of Lambayeque, province of Lambayeque, Lambayeque region, Peru (6°40′20″ S, 79°53′17″ W). A total of 370 original images were captured in JPG format at a resolution of 640 × 640 pixels, using a Samsung A12 device mounted on a 2.5 m-high structure.
Out of these, 100 images were selected for manual annotation using LabelImg (v1.8.6), resulting in 3062 YOLO-format annotations corresponding to the class “cotton”.
Subsequently, data augmentation techniques were applied (progressive rotations ranging from −5° to +5°), which expanded the dataset to 2186 images with a total of 70,348 annotated cotton fruits.
This dataset is intended to support research in computer vision, object detection, and agricultural applications based on artificial intelligence.
DOI: 10.17632/byyysjj462.1
title: Peruvian-Cotton - Annotated Dataset of Gossypium barbadense Fruits in Peruvian Crops

description: This dataset contains images and annotations used in the study “Automated Detection and Counting of Gossypium barbadense Fruits in Peruvian Crops Using Convolutional Neural Networks.”
When using this dataset, please cite:
Ballena-Ruiz, J.; Arcila-Diaz, J.; Tuesta-Monteza, V. Automated Detection and Counting of Gossypium barbadense Fruits in Peruvian Crops Using Convolutional Neural Networks. AgriEngineering 2025, 7, 152. https://doi.org/10.3390/agriengineering7050152

Data collection was carried out in two cotton crop plots located in the district of Lambayeque, province of Lambayeque, Lambayeque region, Peru (6°40′20″ S, 79°53′17″ W). A total of 370 original images were captured in JPG format at a resolution of 640 × 640 pixels, using a Samsung A12 device mounted on a 2.5 m-high structure.
Out of these, 100 images were selected for manual annotation using LabelImg (v1.8.6), resulting in 3062 YOLO-format annotations corresponding to the class “cotton”.
Subsequently, data augmentation techniques were applied (progressive rotations ranging from −5° to +5°), which expanded the dataset to 2186 images with a total of 70,348 annotated cotton fruits.
This dataset is intended to support research in computer vision, object detection, and agricultural applications based on artificial intelligence.
DOI: 10.17632/v9xnn8sbzp.1
title: A study of Jianli Lin.Hypoxic-immune axis orchestrates metastatic dissemination via HIF isoform imbalance in pancreatic neuroendocrine tumors

description: Our paper entitled “Hypoxic-immune axis orchestrates metastatic dissemination via HIF isoform imbalance in pancreatic neuroendocrine tumors” (ID: ISCIENCE-D-25 -08669).
DOI: 10.17632/ff8kmtv6k3.2
title: MATLAB codes for Xu et al., 2025

description: MATLAB codes for the seawater lithium isotope model presented in Xu et al. (2025). Figs. 3-7 and S2-S3 in this paper were generated using these codes.
DOI: 10.17026/ar/ypcedg
title: PAN-00173099 - devotional pendant Modern period

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00173099&lt;/p&gt;
description: Modified: 2025-04-26T11:39:28+02:00
DOI: 10.17632/sh57n863mz
title: dye compound

description: The dataset "Dye-Dataset.csv" is a comprehensive molecular collection of 8,815 dye compounds, each annotated with detailed physicochemical and structural descriptors. It includes 248 features such as atom counts (C, H, N, O, S, halogens, metals), RDKit-computed molecular descriptors (molecular weight, logP, ring counts, topological indices, valence electrons, aromatic heterocycles), and fragment-based structural fingerprints. The target variable of interest is Epsilon (molar extinction coefficient), which quantifies light absorption capacity of dyes, making it a critical property for optical and materials applications. Additionally, derived meta-features such as conformer counts, aromatic atom counts, and longest carbon chain length provide rich structural diversity. The dataset is highly multidimensional, including numeric and categorical descriptors, and is appropriate for quantitative structure–property relationship (QSPR) modeling, cheminformatics, and machine learning-based predictive dye design.
DOI: 10.17632/sh57n863mz.2
title: dye compound

description: The dataset "Dye-Dataset.csv" is a comprehensive molecular collection of 8,815 dye compounds, each annotated with detailed physicochemical and structural descriptors. It includes 248 features such as atom counts (C, H, N, O, S, halogens, metals), RDKit-computed molecular descriptors (molecular weight, logP, ring counts, topological indices, valence electrons, aromatic heterocycles), and fragment-based structural fingerprints. The target variable of interest is Epsilon (molar extinction coefficient), which quantifies light absorption capacity of dyes, making it a critical property for optical and materials applications. Additionally, derived meta-features such as conformer counts, aromatic atom counts, and longest carbon chain length provide rich structural diversity. The dataset is highly multidimensional, including numeric and categorical descriptors, and is appropriate for quantitative structure–property relationship (QSPR) modeling, cheminformatics, and machine learning-based predictive dye design.
DOI: 10.17632/3pmpg8f9fg
title: eds

description: the picture of eds
DOI: 10.17632/3pmpg8f9fg.1
title: eds

description: the picture of eds
DOI: 10.17632/h9j8wdfh33
title: Dye-Compounds

description: The dataset "Dye-Compounds.csv" is a comprehensive molecular collection of 8,815 dye compounds, each annotated with detailed physicochemical and structural descriptors. It includes 248 features such as atom counts (C, H, N, O, S, halogens, metals), RDKit-computed molecular descriptors (molecular weight, logP, ring counts, topological indices, valence electrons, aromatic heterocycles), and fragment-based structural fingerprints. The target variable of interest is Epsilon (molar extinction coefficient), which quantifies light absorption capacity of dyes, making it a critical property for optical and materials applications. Additionally, derived meta-features such as conformer counts, aromatic atom counts, and longest carbon chain length provide rich structural diversity. The dataset is highly multidimensional, including numeric and categorical descriptors, and is appropriate for quantitative structure–property relationship (QSPR) modeling, cheminformatics, and machine learning-based predictive dye design.
DOI: 10.17632/h9j8wdfh33.1
title: Dye-Compounds

description: The dataset "Dye-Compounds.csv" is a comprehensive molecular collection of 8,815 dye compounds, each annotated with detailed physicochemical and structural descriptors. It includes 248 features such as atom counts (C, H, N, O, S, halogens, metals), RDKit-computed molecular descriptors (molecular weight, logP, ring counts, topological indices, valence electrons, aromatic heterocycles), and fragment-based structural fingerprints. The target variable of interest is Epsilon (molar extinction coefficient), which quantifies light absorption capacity of dyes, making it a critical property for optical and materials applications. Additionally, derived meta-features such as conformer counts, aromatic atom counts, and longest carbon chain length provide rich structural diversity. The dataset is highly multidimensional, including numeric and categorical descriptors, and is appropriate for quantitative structure–property relationship (QSPR) modeling, cheminformatics, and machine learning-based predictive dye design.
DOI: 10.34847/nkl.56a722j8
title: FRA2019_0047

description: Fichier dérivé (TEI).
description: Fichier source (TGD).
description: Fichier source (WAV).
DOI: 10.17632/5dt3c9trbz
title: Che-2025-GCA-data

description: Data supporting the manuscript by Che and Wang et al. (2025) submitted to Geochimica et Cosmochimica Acta, titled: “Critical role of fluorine and boron in regulating lithium mineral crystallization in granitic melt: Implications for the granite vs. pegmatite lithium deposits formation”.
DOI: 10.17026/ar/doqri3
title: PAN-00054376 - iron nail general

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00054376&lt;/p&gt;
description: Modified: 2025-07-17T11:12:21+02:00
DOI: 10.17632/5dt3c9trbz.1
title: Che-2025-GCA-data

description: Data supporting the manuscript by Che and Wang et al. (2025) submitted to Geochimica et Cosmochimica Acta, titled: “Critical role of fluorine and boron in regulating lithium mineral crystallization in granitic melt: Implications for the granite vs. pegmatite lithium deposits formation”.
DOI: 10.17632/4zwwbms3hb
title: Clinical characteristics driving hospitalization among cutaneous T-cell lymphoma patients: A six-year retrospective cohort study

description: Supplementary materials for study investigating hospitalization patterns and clinical characteristics of patients with cutaneous T-cell lymphoma.
DOI: 10.17632/4zwwbms3hb.3
title: Clinical characteristics driving hospitalization among cutaneous T-cell lymphoma patients: A six-year retrospective cohort study

description: Supplementary materials for study investigating hospitalization patterns and clinical characteristics of patients with cutaneous T-cell lymphoma.
DOI: 10.17632/m7zm6kk295
title: Data associated with "Characterization of antimicrobial S-glycosylated glycocins containing three disulfides" J Ind Microbiol Biotechnol 2025

description: Data associated with "Characterization of antimicrobial S-glycosylated glycocins containing three disulfides" J Ind Microbiol Biotechnol 2025
DOI: 10.17632/m7zm6kk295.1
title: Data associated with "Characterization of antimicrobial S-glycosylated glycocins containing three disulfides" J Ind Microbiol Biotechnol 2025

description: Data associated with "Characterization of antimicrobial S-glycosylated glycocins containing three disulfides" J Ind Microbiol Biotechnol 2025
DOI: 10.15468/dl.usfg3s
title: Occurrence Download

description: A dataset containing 29993 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Parachondrostoma miegii)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 29993 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016067-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v8jsxr
title: Occurrence Download

description: A dataset containing 2039 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Colección de Saurios Museo de La Salle Bogotá (MLS)"
 ]
}

 The dataset includes 2039 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016069-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/7n95hky9zg
title: Transpupillary in vivo two-photon imaging reveals enhanced surveillance of retinal microglia in diabetic mice

description: Dataset for Sotani et al., PNAS
DOI: 10.17632/7n95hky9zg.2
title: Transpupillary in vivo two-photon imaging reveals enhanced surveillance of retinal microglia in diabetic mice

description: Dataset for Sotani et al., PNAS