cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/yn3864m4f2
title: Refining diagnosis of Latent Autoimmune Diabetes Of Adults: Oral glucose stimulated C-peptide assay augments specificity of clinical risk scores in non-obese Indian cohort Priyadarshini.K.S. et al 2026

description: Latent autoimmune diabetes in adults (LADA) overlaps with presenting features of type 2 diabetes mellitus (T2DM), leading to misclassification as diagnosis relies primarily on plasma glucose levels. Autoantibody testing, although confirmatory, is costly, variably standardized, and inaccessible in resource-limited settings. Measurement of stimulated C-peptide can provide a practical metabolic surrogate of β-cell reserve to improve LADA identification. The present study was conducted as a cross-sectional observational analytical study in a tertiary care centre. It was approved by the institutional review board, and it complied with the principles embodied in the Declaration of Helsinki. A total of 1000 adult diabetes patients were targeted for recruitment. The final analysed dataset comprised 1011 subjects, divided into potential LADA cases (n = 500) and healthy controls (n = 511), by consecutive convenience sampling to remove selection bias. Procedure for OGSC test was as follows: (1) 8 to 10 hours fasting venous blood sample was first collected for fasting plasma glucose (FPG) and fCP levels. (2) Subjects were given 50grams of anhydrous glucose dissolved in 100 ml of water. One hour after glucose administration, another venous blood sample was collected for the measurement of both stimulated plasma glucose (SPG) and stimulated serum C-peptide levels.Whole blood was collected in vacutainers with no anticoagulants (red-capped) and EDTA (purple-capped), then centrifuged to separate serum and plasma, respectively. Specimens were refrigerated at 2-8°C for up to five days or stored at -20°C for longer periods, avoiding repetitive freeze-thaw cycles. Specimens with C-peptide concentrations &gt;3.3 nmol/L (10ng/mL) were diluted and re-assayed. C-peptide measurement was performed using chemiluminescent immunoassay in Beckman Coulter Access-2 autoanalyzer. Plasma glucose and serum C-Peptides were measured and data analysed in conventional units and then converted to SI units. Statistical analysis was performed using SPSS software version 20.0. Descriptive statistics were used to characterise the distribution of continuous variables, with results expressed as mean with standard deviation (SD) or median and interquartile range (IQR) depending on data distribution. Generalized Estimating Equations (GEE) were used to compare the overall change in plasma glucose and C-peptide over time between the two groups. Receiver Operating Characteristic (ROC) curve analysis was performed to determine the diagnostic accuracy, sensitivity, and specificity of fasting and stimulated C-peptide parameters. Multivariable regression analysis was used to identify independent predictors of LADA status, with p-values &lt;0.05 considered statistically significant.
DOI: 10.17632/yn3864m4f2.1
title: Refining diagnosis of Latent Autoimmune Diabetes Of Adults: Oral glucose stimulated C-peptide assay augments specificity of clinical risk scores in non-obese Indian cohort Priyadarshini.K.S. et al 2026

description: Latent autoimmune diabetes in adults (LADA) overlaps with presenting features of type 2 diabetes mellitus (T2DM), leading to misclassification as diagnosis relies primarily on plasma glucose levels. Autoantibody testing, although confirmatory, is costly, variably standardized, and inaccessible in resource-limited settings. Measurement of stimulated C-peptide can provide a practical metabolic surrogate of β-cell reserve to improve LADA identification. The present study was conducted as a cross-sectional observational analytical study in a tertiary care centre. It was approved by the institutional review board, and it complied with the principles embodied in the Declaration of Helsinki. A total of 1000 adult diabetes patients were targeted for recruitment. The final analysed dataset comprised 1011 subjects, divided into potential LADA cases (n = 500) and healthy controls (n = 511), by consecutive convenience sampling to remove selection bias. Procedure for OGSC test was as follows: (1) 8 to 10 hours fasting venous blood sample was first collected for fasting plasma glucose (FPG) and fCP levels. (2) Subjects were given 50grams of anhydrous glucose dissolved in 100 ml of water. One hour after glucose administration, another venous blood sample was collected for the measurement of both stimulated plasma glucose (SPG) and stimulated serum C-peptide levels.Whole blood was collected in vacutainers with no anticoagulants (red-capped) and EDTA (purple-capped), then centrifuged to separate serum and plasma, respectively. Specimens were refrigerated at 2-8°C for up to five days or stored at -20°C for longer periods, avoiding repetitive freeze-thaw cycles. Specimens with C-peptide concentrations &gt;3.3 nmol/L (10ng/mL) were diluted and re-assayed. C-peptide measurement was performed using chemiluminescent immunoassay in Beckman Coulter Access-2 autoanalyzer. Plasma glucose and serum C-Peptides were measured and data analysed in conventional units and then converted to SI units. Statistical analysis was performed using SPSS software version 20.0. Descriptive statistics were used to characterise the distribution of continuous variables, with results expressed as mean with standard deviation (SD) or median and interquartile range (IQR) depending on data distribution. Generalized Estimating Equations (GEE) were used to compare the overall change in plasma glucose and C-peptide over time between the two groups. Receiver Operating Characteristic (ROC) curve analysis was performed to determine the diagnostic accuracy, sensitivity, and specificity of fasting and stimulated C-peptide parameters. Multivariable regression analysis was used to identify independent predictors of LADA status, with p-values &lt;0.05 considered statistically significant.
DOI: 10.15468/dl.kjujdp
title: Occurrence Download

description: A dataset containing 125 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Abramis brama",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1915",
 "Year is less than or equal to 1919"
 ]
}

 The dataset includes 125 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009400-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/dnxtg6n4rv
title: Bank Transactions Dataset

description: With the rapid evolution of finance technology (FinTech) the importance of analyzing financial transactions is growing in
importance. As the prevalence and number financial transactions grows, so does the necessity of visual analysis tools to study
the behavior represented by these transactions. However, real bank transaction data is generally private due to security and
confidentiality reasons thus preventing its use for visual analysis and research. We present MoneyData, an anonymized open
bank data set spanning seven years worth of transactions for research and analysis purposes. To our knowledge, this is the first
real-world, retail, bank transaction data that has been anonymized and made public for visualization and analysis by other
researchers. We describe the data set, it’s characteristics, the anonymization process, and present some preliminary analysis
and images as a starting point for future research. The transactions are also categorized to facilitate understanding. We believe
the availability of this open data will be of great benefit to the research community and facilitate further study of finance.
DOI: 10.17632/dnxtg6n4rv.1
title: Bank Transactions Dataset

description: With the rapid evolution of finance technology (FinTech) the importance of analyzing financial transactions is growing in
importance. As the prevalence and number financial transactions grows, so does the necessity of visual analysis tools to study
the behavior represented by these transactions. However, real bank transaction data is generally private due to security and
confidentiality reasons thus preventing its use for visual analysis and research. We present MoneyData, an anonymized open
bank data set spanning seven years worth of transactions for research and analysis purposes. To our knowledge, this is the first
real-world, retail, bank transaction data that has been anonymized and made public for visualization and analysis by other
researchers. We describe the data set, it’s characteristics, the anonymization process, and present some preliminary analysis
and images as a starting point for future research. The transactions are also categorized to facilitate understanding. We believe
the availability of this open data will be of great benefit to the research community and facilitate further study of finance.
DOI: 10.15468/dl.b53r7g
title: Occurrence Download

description: A dataset containing 140692 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arbutus unedo",
 "BasisOfRecord is one of (Human Observation)"
 ]
}

 The dataset includes 140692 records from 442 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009356-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/s9hpmhrpwp.3
title: Joint Production Simulation Cu Co - Fikru, Ohler, Romani

description: This R program simulates the joint production of copper and cobalt, with random parameters that define the marginal cost of extraction, environmental cost, and technical efficiency. Output is provided as summary statistics, and graphical visualizations
DOI: 10.15468/dl.jep2ww
title: Occurrence Download

description: A dataset listing the 21 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Inventaires Aéro Biodiversité - DCM - Castres Mazamet-Inventaires Aéro Biodiversité - DCM - Observations opportunistes extérieures"
 ]
}

 The dataset's 21 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009393-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/38hmy7ssgm
title: HEAL 1UG3DA050942-01A1: Effect of intranasal pGDNF nanoparticles on oxycodone reinstatement using IVSA

description: This dataset contains behavioral data from male and female rats examining the effects of intranasal pGDNF (plasmid glial cell line-derived neurotrophic factor) DNA nanoparticles on oxycodone seeking behavior. Following jugular catheterization surgery, rats underwent oxycodone self-administration training using a fixed-ratio schedule (FR1 and FR5) over 12 days, followed by a progressive ratio test on Day 13. On Day 14, rats received intranasal infusions of either saline (VEH) or pGDNF nanoparticles under anesthesia. Following 27 days of forced abstinence, oxycodone seeking was assessed via a 90-minute reinstatement test on Day 42.
Data include: active and inactive lever presses, oxycodone infusions earned, breakpoint values, body weights, and withdrawal monitoring scores across all experimental phases. Group sizes: Male VEH (n=17), Female VEH (n=15), Male GDNF (n=16), Female GDNF (n=17).
This dataset also includes all intravenous self-administration (IVSA) data through Day 14 for subjects used in central dopamine exocytosis studies conducted by collaborator Dr. Emmanuel Pothos. The corresponding electrophysiology dataset is available at doi: 10.17632/mz25fgvtv2.1
Supported by NIH HEAL Initiative grant 1UG3DA050942-01A1.
DOI: 10.17632/38hmy7ssgm.1
title: HEAL 1UG3DA050942-01A1: Effect of intranasal pGDNF nanoparticles on oxycodone reinstatement using IVSA

description: This dataset contains behavioral data from male and female rats examining the effects of intranasal pGDNF (plasmid glial cell line-derived neurotrophic factor) DNA nanoparticles on oxycodone seeking behavior. Following jugular catheterization surgery, rats underwent oxycodone self-administration training using a fixed-ratio schedule (FR1 and FR5) over 12 days, followed by a progressive ratio test on Day 13. On Day 14, rats received intranasal infusions of either saline (VEH) or pGDNF nanoparticles under anesthesia. Following 27 days of forced abstinence, oxycodone seeking was assessed via a 90-minute reinstatement test on Day 42.
Data include: active and inactive lever presses, oxycodone infusions earned, breakpoint values, body weights, and withdrawal monitoring scores across all experimental phases. Group sizes: Male VEH (n=17), Female VEH (n=15), Male GDNF (n=16), Female GDNF (n=17).
This dataset also includes all intravenous self-administration (IVSA) data through Day 14 for subjects used in central dopamine exocytosis studies conducted by collaborator Dr. Emmanuel Pothos. The corresponding electrophysiology dataset is available at doi: 10.17632/mz25fgvtv2.1
Supported by NIH HEAL Initiative grant 1UG3DA050942-01A1.
DOI: 10.5281/zenodo.18247449
title: Baccharis notosergila Griseb. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42
DOI: 10.5281/zenodo.18247448
title: Baccharis notosergila Griseb. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42
DOI: 10.15468/dl.uhgggj
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"USA.34.79_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 12 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009402-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bn9wpz
title: Occurrence Download

description: A dataset containing 477 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Nomascus gabriellae",
 "Year 2000-2025"
 ]
}

 The dataset includes 477 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009401-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/nkj2vrv27k
title: Replication package for "No free ESG lunch? Asset-pricing evidence from a return-based meta-analysis"

description: This repository contains the full replication package for the article “No free ESG lunch? Asset-pricing evidence from a return-based meta-analysis.”

The package includes harmonized datasets, R and Python scripts, result tables, figures, and diagnostic outputs required to fully reproduce all results reported in the manuscript. All analyses are fully scripted and can be reproduced via a one-click execution workflow.

The core meta-analytic sample consists of k = 39 independent annualized return differences extracted from 85 peer-reviewed empirical studies published between 2014 and 2025. The repository also includes robustness checks, validation reports, and a detailed file manifest documenting all contents.

This replication package is provided for transparency and reproducibility purposes and contains no proprietary or restricted data.
DOI: 10.17632/nkj2vrv27k.1
title: Replication package for "No free ESG lunch? Asset-pricing evidence from a return-based meta-analysis"

description: This repository contains the full replication package for the article “No free ESG lunch? Asset-pricing evidence from a return-based meta-analysis.”

The package includes harmonized datasets, R and Python scripts, result tables, figures, and diagnostic outputs required to fully reproduce all results reported in the manuscript. All analyses are fully scripted and can be reproduced via a one-click execution workflow.

The core meta-analytic sample consists of k = 39 independent annualized return differences extracted from 85 peer-reviewed empirical studies published between 2014 and 2025. The repository also includes robustness checks, validation reports, and a detailed file manifest documenting all contents.

This replication package is provided for transparency and reproducibility purposes and contains no proprietary or restricted data.
DOI: 10.17632/82fwrvjv37
title: CONSUMER AWARENESS AS A COGNITIVE BRIDGE: MEDIATING THE EFFECTS OF ARTIFICIAL INTELLIGENCE ON PURCHASE INTENTION IN ONLINE SHOPPING

description: The hypothesis was that consumer awareness significantly mediates the relationship between AI-driven personalisation and online purchase intention and also mediates the relationship between AI-enabled features and online purchase intention. The data was denoted with the following AIP as Artifical intelligence personalisation, CAW as Consumer awareness, CAA as Consumer Attitude to AI, PI as Purchase Intention, and AIF as Artificial Intelligence Features. The data be interpreted by using Structural Equation Modelling (SEM) with the help of JASP and SPSS.
DOI: 10.17632/82fwrvjv37.1
title: CONSUMER AWARENESS AS A COGNITIVE BRIDGE: MEDIATING THE EFFECTS OF ARTIFICIAL INTELLIGENCE ON PURCHASE INTENTION IN ONLINE SHOPPING

description: The hypothesis was that consumer awareness significantly mediates the relationship between AI-driven personalisation and online purchase intention and also mediates the relationship between AI-enabled features and online purchase intention. The data was denoted with the following AIP as Artifical intelligence personalisation, CAW as Consumer awareness, CAA as Consumer Attitude to AI, PI as Purchase Intention, and AIF as Artificial Intelligence Features. The data be interpreted by using Structural Equation Modelling (SEM) with the help of JASP and SPSS.
DOI: 10.15468/dl.5xwwru
title: Occurrence Download

description: A dataset containing 3363 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Goniolimon speciosum"
 ]
}

 The dataset includes 3363 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009403-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/bkdxkfk7vg
title: Data Extraction Matrix – Planetary Health in Undergraduate Nursing Education: A Scoping Review”

description: “This file contains the full data extraction matrix used in the scoping review titled ‘Reimagining Nursing Competencies for Planetary Health…’. It includes study characteristics, aims, design, population, key concepts, frameworks, findings, gaps, and educational implications for all 15 included studies.”
DOI: 10.17632/bkdxkfk7vg.1
title: Data Extraction Matrix – Planetary Health in Undergraduate Nursing Education: A Scoping Review”

description: “This file contains the full data extraction matrix used in the scoping review titled ‘Reimagining Nursing Competencies for Planetary Health…’. It includes study characteristics, aims, design, population, key concepts, frameworks, findings, gaps, and educational implications for all 15 included studies.”
DOI: 10.6084/m9.figshare.31069150
title: Dataset for Sousa et al.

description: Supplementary tables from "<b>Integrating transcriptomics and 3D spheroid models reveals microenvironment-dependent purinergic modulation in Hepatocellular Carcinoma" paper</b>
DOI: 10.6084/m9.figshare.31069150.v1
title: Dataset for Sousa et al.

description: Supplementary tables from "<b>Integrating transcriptomics and 3D spheroid models reveals microenvironment-dependent purinergic modulation in Hepatocellular Carcinoma" paper</b>
DOI: 10.17632/p6bybv7rr9
title: Housing Affordability and Parental Income Support: The Role of Mortgage Co-signing

description: Replication files for "Housing Affordability and Parental Income Support: The Role of Mortgage Co-Signing", Jason Allen, Kyra Carmichael, Robert Clark, Shaoteng Li, and Nicolas Vincent, Journal of Financial Economics
DOI: 10.17632/p6bybv7rr9.2
title: Housing Affordability and Parental Income Support: The Role of Mortgage Co-signing

description: Replication files for "Housing Affordability and Parental Income Support: The Role of Mortgage Co-Signing", Jason Allen, Kyra Carmichael, Robert Clark, Shaoteng Li, and Nicolas Vincent, Journal of Financial Economics
DOI: 10.15468/dl.hfkpx3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"IND.26.14_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009404-260108223611665/datasets/export for details.
DOI: 10.17632/p622ddkyxf
title: Data - The Trait Meta-Mood Scale-24 (TMMS-24) and Academic Performance

description: Relationship Between the Trait Meta-Mood Scale-24 (TMMS-24) and Academic Performance:

This dataset contains the anonymized raw data from a cross-sectional study investigating the psychometric properties of the Trait Meta-Mood Scale-24 (TMMS-24) and its relationship with academic indicators among university students.

The study was conducted with a sample of N = 491 undergraduate health science students from multiple regional centers in El Salvador. The dataset includes:

Sociodemographic and Academic Variables: Age, sex, regional center, faculty, year of study, economic support, employment status, self-reported academic performance (Nota_real), academic aspiration (Nota_ideal), and strategies for coping with academic stress and procrastination.

Responses to the TMMS-24 Items: Complete raw responses to the 24 items of the Trait Meta-Mood Scale, which measures intrapersonal emotional intelligence across three theoretical dimensions: Attention to Feelings, Clarity of Feelings, and Mood Repair.

Derived Psychometric Variables: Composite scores and categorical levels (e.g., Low, Adequate, High) for the three TMMS-24 factors (Emotional Attention, Emotional Clarity, Emotional Repair), generated following exploratory (EFA) and confirmatory factor analysis (CFA).

Potential for Reuse: This dataset is valuable for researchers interested in:

The cross-cultural validation and factor structure of the TMMS-24.

The relationship between emotional intelligence, academic performance, and student coping strategies.

Meta-analyses on emotional intelligence in higher education, particularly in Latin American contexts.

Educational and psychological research on the well-being of health science students.