cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.30230554.v1
title: Supplementary Material for: First Report of Successful Treatment of Erosive Vulvovaginal Lichen Planus with Platelet-Rich Fibrin: A Case Report and Comprehensive Literature Review

description: Introduction
Erosive vulvovaginal lichen planus is a chronic mucocutaneous disorder characterized by painful inflammation and mucosal erosions, significantly impacting patients’ quality of life. Regenerative medicine, particularly platelet-rich fibrin (PRF) injection, has emerged as a promising approach for managing inflammatory mucosal lesions.
Case Presentation
We describe a 72-year-old woman with long-standing mucocutaneous lichen planus involving the vulvovaginal and oral mucosa, as well as the scalp. Initial treatments included methotrexate, prednisolone, and mycophenolate mofetil, which resulted in resolution of the oral and scalp lesions, while the vulvovaginal erosions persisted and remained refractory. The patient subsequently received three monthly sessions of intralesional PRF injection, resulting in complete epithelialization of the vulvovaginal erosions and significant symptom relief, with no recurrence observed during follow-up.
Conclusion
While the efficacy of PRF has been previously reported in oral erosive lichen planus, this case is the first to document successful treatment of erosive vulvovaginal lichen planus using PRF. These findings highlight the potential of PRF as an effective, minimally invasive option for managing treatment-resistant mucosal lesions.
DOI: 10.15468/dl.7g4wc2
title: Occurrence Download

description: A dataset containing 672 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Polystichum hancockii",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 672 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028210-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/4fbg8j4w7x
title: Supplementary_Material_Data The impact of Trump's increasing tariffs, risk management, and working capital on Gayo Coffee's business continuity

description: This file contains tables referenced from the article entitled "The impact of Trump's increasing tariffs, risk management, and working capital on Gayo Coffee's business continuity".
DOI: 10.17632/4fbg8j4w7x.1
title: Supplementary_Material_Data The impact of Trump's increasing tariffs, risk management, and working capital on Gayo Coffee's business continuity

description: This file contains tables referenced from the article entitled "The impact of Trump's increasing tariffs, risk management, and working capital on Gayo Coffee's business continuity".
DOI: 10.15468/dl.up5azm
title: Occurrence Download

description: A dataset containing 36077 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Asclepias incarnata)"
 ]
}

 The dataset includes 36077 records from 174 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028211-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/gdz9n5gz89
title: Nobel Prize & Chinese Economists' Research

description: Data Description for Online Repository (Multiple Excel Sheets)

This dataset supports the analysis in “Chinese Economists and the Nobel Prize Dilemma: Cultural Bias or Paradigmatic Misalignment Between Theory and Application.” It consists of bibliometric and coded variables from 2,604 research articles published in Economic Research Journal (2000–2019). The dataset is structured across multiple Excel sheets to allow clarity and reproducibility.

Contents by Sheet:

Metadata – Publication year, author names, institutional affiliations, keywords, and abstracts.

Research Questions (NQ) – Coding of theoretical (Nobel Query, “why”) vs. applied (“how”) research orientations, with additional categories (where, when, whether, method).

Contextual Levels (NC) – Indicators of scope: individual, firm, industry, national, and international contexts.

Temporal Indicators (NT) – Publication year, pre-/post-2008 financial crisis, pre-/post-2013 Belt and Road Initiative.

Disciplines – Article classification into subfields (e.g., macroeconomics, microeconomics, econometrics, financial economics, institutional economics).

Regression Variables – Cleaned binary and categorical variables used for multivariate and logit regression analyses (including dependent and independent variables).

Codebook – Definitions of all variables, coding rules, and examples of applied vs. theoretical classification.

File Format:
Provided as an Excel workbook (.xlsx) with seven sheets. Variable names and coding notes are harmonized for ease of replication and further analysis.

Usage:
The dataset enables replication of descriptive statistics, regression analyses, and figures reported in the article, and serves as a resource for future research on applied versus theoretical orientations in Chinese economics.
DOI: 10.17632/gdz9n5gz89.1
title: Nobel Prize & Chinese Economists' Research

description: Data Description for Online Repository (Multiple Excel Sheets)

This dataset supports the analysis in “Chinese Economists and the Nobel Prize Dilemma: Cultural Bias or Paradigmatic Misalignment Between Theory and Application.” It consists of bibliometric and coded variables from 2,604 research articles published in Economic Research Journal (2000–2019). The dataset is structured across multiple Excel sheets to allow clarity and reproducibility.

Contents by Sheet:

Metadata – Publication year, author names, institutional affiliations, keywords, and abstracts.

Research Questions (NQ) – Coding of theoretical (Nobel Query, “why”) vs. applied (“how”) research orientations, with additional categories (where, when, whether, method).

Contextual Levels (NC) – Indicators of scope: individual, firm, industry, national, and international contexts.

Temporal Indicators (NT) – Publication year, pre-/post-2008 financial crisis, pre-/post-2013 Belt and Road Initiative.

Disciplines – Article classification into subfields (e.g., macroeconomics, microeconomics, econometrics, financial economics, institutional economics).

Regression Variables – Cleaned binary and categorical variables used for multivariate and logit regression analyses (including dependent and independent variables).

Codebook – Definitions of all variables, coding rules, and examples of applied vs. theoretical classification.

File Format:
Provided as an Excel workbook (.xlsx) with seven sheets. Variable names and coding notes are harmonized for ease of replication and further analysis.

Usage:
The dataset enables replication of descriptive statistics, regression analyses, and figures reported in the article, and serves as a resource for future research on applied versus theoretical orientations in Chinese economics.
DOI: 10.5281/zenodo.17222175
title: Demo Social Mice
DOI: 10.15468/dl.n4m2qa
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dianthus arenarius",
 "Country is Canada",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028212-250920141307145/datasets/export for details.
DOI: 10.5281/zenodo.17222174
title: Demo Social Mice
DOI: 10.15468/dl.qw7cvz
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dianthus arenarius",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 10 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028213-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y6hdeu
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sylvia atriceps",
 "Country is one of (Brunei Darussalam, Indonesia, Philippines, Timor-Leste, Singapore)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028214-250920141307145/datasets/export for details.
DOI: 10.17632/b5zhy25zb3
title: Breviscapine enhances angiogenesis in diabetic wound healing by regulating macrophage polarization via mitochondrial metabolic reprogramming

description: The impaired angiogenesis driven by persistent inflammatory responses is the pivotal pathogenic step in the progression of diabetic ulcers (DU) to chronic non-healing wounds. Breviscapine has been widely used clinically as an adjunctive therapy for DU, but its precise role and molecular mechanisms in DU reparation remain unclear. The present study aimed at investigating the positive effects and potential mechanism of breviscapine on DU wound healing. We first constructed DU mice model to evaluate the efficacy of breviscapine. The results indicated that breviscapine effectively improved wound skin pathological damage and promoted angiogenesis in DU mice. Breviscapine significantly promoted macrophage polarization toward the pro-reparative M2 phenotype, reduced the secretion of inflammatory cytokines IL-1β and TNF-α, and enhanced the release of anti-inflammatory factor IL-10 and pro-angiogenic factor VEGF in DU mice and HG-induced RAW264.7 cells. Additionally, we treated HUVECs with conditioned medium derived from HG-induced RAW264.7 to examine whether macrophage polarization status affects angiogenesis. Notably, HG-induced RAW264.7 markedly weakened the proliferation, migration, and angiogenic capabilities of HUVECs, which were reversed by breviscapine. Proteomics technology was employed to investigate the potential mechanism by which breviscapine regulated macrophage polarization. Results revealed that in DU mice skin and HG-induced RAW264.7, breviscapine remarkably suppressed the abnormal overexpression of mitochondrial enzyme Arg2, mitigated mitochondrial impairment, and blocked metabolic reprogramming from mitochondrial oxidative phosphorylation to glycolysis, thereby promoting macrophage M2 polarization. To further elucidate the role of Arg2 in the breviscapine protection mechanism, we transfected HG-induced RAW264.7 with plasmid pcDNA3.1-EGFP-Arg2 and siRNA-Arg2. Overexpression of Arg2 in RAW264.7 further aggravated mitochondrial damage and metabolic reprogramming, curtailing M2 polarization, which could be reversed by breviscapine. Meanwhile, breviscapine significantly restored the exacerbated angiogenesis impairment in HUVECs mediated by Arg2 overexpression in RAW264.7 cells. Nevertheless, Arg2 knockdown mimicked the effects of breviscapine, restoring mitochondrial function and OXPHOS metabolism in HG-induced RAW264.7 which facilitated macrophage M2 polarization , thereby exerting a pro-angiogenic impact on HUVECs. Overall, this study demonstrated that breviscapine could promote M2 polarization of macrophages by inhibiting Arg2-mediated mitochondrial metabolic reprogramming, thereby enhancing angiogenesis in DU wound healing.
DOI: 10.17632/b5zhy25zb3.1
title: Breviscapine enhances angiogenesis in diabetic wound healing by regulating macrophage polarization via mitochondrial metabolic reprogramming

description: The impaired angiogenesis driven by persistent inflammatory responses is the pivotal pathogenic step in the progression of diabetic ulcers (DU) to chronic non-healing wounds. Breviscapine has been widely used clinically as an adjunctive therapy for DU, but its precise role and molecular mechanisms in DU reparation remain unclear. The present study aimed at investigating the positive effects and potential mechanism of breviscapine on DU wound healing. We first constructed DU mice model to evaluate the efficacy of breviscapine. The results indicated that breviscapine effectively improved wound skin pathological damage and promoted angiogenesis in DU mice. Breviscapine significantly promoted macrophage polarization toward the pro-reparative M2 phenotype, reduced the secretion of inflammatory cytokines IL-1β and TNF-α, and enhanced the release of anti-inflammatory factor IL-10 and pro-angiogenic factor VEGF in DU mice and HG-induced RAW264.7 cells. Additionally, we treated HUVECs with conditioned medium derived from HG-induced RAW264.7 to examine whether macrophage polarization status affects angiogenesis. Notably, HG-induced RAW264.7 markedly weakened the proliferation, migration, and angiogenic capabilities of HUVECs, which were reversed by breviscapine. Proteomics technology was employed to investigate the potential mechanism by which breviscapine regulated macrophage polarization. Results revealed that in DU mice skin and HG-induced RAW264.7, breviscapine remarkably suppressed the abnormal overexpression of mitochondrial enzyme Arg2, mitigated mitochondrial impairment, and blocked metabolic reprogramming from mitochondrial oxidative phosphorylation to glycolysis, thereby promoting macrophage M2 polarization. To further elucidate the role of Arg2 in the breviscapine protection mechanism, we transfected HG-induced RAW264.7 with plasmid pcDNA3.1-EGFP-Arg2 and siRNA-Arg2. Overexpression of Arg2 in RAW264.7 further aggravated mitochondrial damage and metabolic reprogramming, curtailing M2 polarization, which could be reversed by breviscapine. Meanwhile, breviscapine significantly restored the exacerbated angiogenesis impairment in HUVECs mediated by Arg2 overexpression in RAW264.7 cells. Nevertheless, Arg2 knockdown mimicked the effects of breviscapine, restoring mitochondrial function and OXPHOS metabolism in HG-induced RAW264.7 which facilitated macrophage M2 polarization , thereby exerting a pro-angiogenic impact on HUVECs. Overall, this study demonstrated that breviscapine could promote M2 polarization of macrophages by inhibiting Arg2-mediated mitochondrial metabolic reprogramming, thereby enhancing angiogenesis in DU wound healing.
DOI: 10.15468/dl.cre4q2
title: Occurrence Download

description: A dataset containing 374 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Polystichum lepidocaulon",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 374 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028216-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6efz8p
title: Occurrence Download

description: A dataset containing 242 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Gracilariopsis lemaneiformis"
 ]
}

 The dataset includes 242 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028215-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/457x9c7rp3.1
title: Fossil diatom microscopy image datasets and annotations for object detection

description: This dataset primarily consists of scanned images of permanent slides prepared from surface sediments collected across the Southern Ocean for fossil diatom observation. The sampling sites comprise eighteen locations and encompass a wide range of geomorphological settings and depositional systems, making this dataset well-suited for evaluating the performance of object detection models targeting fossil diatoms, as well as for investigating the biogeography of fossil diatoms in paleoenvironmental reconstruction. The dataset is divided into virtual slides, tile images, annotations, and trained models. The virtual slides are high-resolution images obtained by photographing the permanent slides and are provided in NDPI format (the original format of Hamamatsu Photonics K.K.). Each tile image is a JPEG format extracted from the virtual slides, covering a field of view of 552 × 552 μm. YOLO annotations are provided for each tile image and its corresponding folder. These tile images and annotations are specifically designed for detecting Eucampia antarctica (Castracane) Mangin, a diatom species endemic to the Southern Ocean, and are suitable for use as training and testing data in object detection models. The object detection models (YOLOv5x, Ultralytics) trained on a subset of these data are stored under “Trained models.” Note that this dataset includes only selected regions from the areas where tile images were originally captured, due to the storage limitations of the data repository.
DOI: 10.17632/dbwsn6t96j
title: The Dataset for: Large Battery Model for Multi-State Co-estimation and Intelligent Recommendation using Mixed Data Sources

description: Datasets #1 and #7.
DOI: 10.17632/dbwsn6t96j.1
title: The Dataset for: Large Battery Model for Multi-State Co-estimation and Intelligent Recommendation using Mixed Data Sources

description: Datasets #1 and #7.
DOI: 10.17632/6nt8wg6vk6
title: From Code to Care: How Artificial Empathy Enhances Customer Experience in HRI_2nd round review data

description: minor review add 2 more experiments
DOI: 10.17632/6nt8wg6vk6.1
title: From Code to Care: How Artificial Empathy Enhances Customer Experience in HRI_2nd round review data

description: minor review add 2 more experiments
DOI: 10.17632/fy4nppvx6v
title: Revised Oceanic Mo Isotope Budget from Deep-Sea Pelagic Sediments

description: Supplementary Datasets 1–2 compile published global pelagic sediment data, including Mo contents, δ⁹⁸Mo values, and related geochemical parameters.
DOI: 10.15468/dl.rf5ggr
title: Occurrence Download

description: A dataset containing 49014 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Asclepias tuberosa)"
 ]
}

 The dataset includes 49014 records from 198 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028217-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/fy4nppvx6v.6
title: Revised Oceanic Mo Isotope Budget from Deep-Sea Pelagic Sediments

description: Supplementary Datasets 1–2 compile published global pelagic sediment data, including Mo contents, δ⁹⁸Mo values, and related geochemical parameters.
DOI: 10.15468/dl.h8rjve
title: Occurrence Download

description: A dataset containing 207 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Kappaphycus alvarezii"
 ]
}

 The dataset includes 207 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028218-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3ujcxq
title: Occurrence Download

description: A dataset containing 135 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Tawi Tawi, Reef Fishes, Philippines"
 ]
}

 The dataset includes 135 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028219-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/2j8vvz3j6v
title: Human Bone Fracture C17 Dataset

description: This dataset is a curated collection of medical images of human bone fractures, categorized into 17 distinct fracture types. It has been compiled to support research in medical image classification, deep learning and clinical decision support systems. Fracture classification is an important aspect of orthopedic diagnostics, as different fracture types require different treatment approaches. By providing a diverse, well-labeled dataset, this collection can be used to train and benchmark machine learning models for automatic fracture detection and classification.

The dataset contains 17 classes of bone fractures:
1. Avulsion fracture
2. Closed (simple) fracture
3. Comminuted fracture
4. Compression (crush) fracture
5. Fracture dislocation
6. Greenstick fracture
7. Hairline fracture
8. Impacted fracture
9. Intra-articular fracture
10. Longitudinal fracture
11. Oblique fracture
12. Open (compound) fracture
13. Pathological fracture
14. Segmental fracture
15. Spiral fracture
16. Stress fracture
17. Transverse fracture

Image Type: X-ray, radiology
Format: JPG / PNG / WEBP
Organization: Each fracture type is stored in its own folder
Intended Use: Research, medical AI development, and educational purposes

The dataset is built using publicly available medical and radiology images from:
Kaggle: Bone Break Classifier Dataset (https://www.kaggle.com/datasets/amohankumar/bone-break-classifier-dataset)
Radiopaedia: Stress Fracture Article (https://radiopaedia.org/articles/stress-fracture-2)
Shutterstock: Medical and radiology image database (https://www.shutterstock.com)
DOI: 10.17632/2j8vvz3j6v.1
title: Human Bone Fracture C17 Dataset

description: This dataset is a curated collection of medical images of human bone fractures, categorized into 17 distinct fracture types. It has been compiled to support research in medical image classification, deep learning and clinical decision support systems. Fracture classification is an important aspect of orthopedic diagnostics, as different fracture types require different treatment approaches. By providing a diverse, well-labeled dataset, this collection can be used to train and benchmark machine learning models for automatic fracture detection and classification.

The dataset contains 17 classes of bone fractures:
1. Avulsion fracture
2. Closed (simple) fracture
3. Comminuted fracture
4. Compression (crush) fracture
5. Fracture dislocation
6. Greenstick fracture
7. Hairline fracture
8. Impacted fracture
9. Intra-articular fracture
10. Longitudinal fracture
11. Oblique fracture
12. Open (compound) fracture
13. Pathological fracture
14. Segmental fracture
15. Spiral fracture
16. Stress fracture
17. Transverse fracture

Image Type: X-ray, radiology
Format: JPG / PNG / WEBP
Organization: Each fracture type is stored in its own folder
Intended Use: Research, medical AI development, and educational purposes

The dataset is built using publicly available medical and radiology images from:
Kaggle: Bone Break Classifier Dataset (https://www.kaggle.com/datasets/amohankumar/bone-break-classifier-dataset)
Radiopaedia: Stress Fracture Article (https://radiopaedia.org/articles/stress-fracture-2)
Shutterstock: Medical and radiology image database (https://www.shutterstock.com)