cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.bnveew
title: Occurrence Download

description: A dataset containing 1615 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Bidyanus bidyanus)",
 "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 1615 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013444-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/d5c9jstwgr
title: Experimental Estimation of Preferences on Population Health Ethics

description: This data accompanies the paper Allanson and Robson (2024), "Estimating Public Preferences on Population Health Ethics". In the paper, we design and run an online experiment, with a sample of the UK adult population, to estimate preferences on population ethics. Here, we provide data and code. The Experiment folder contains the R Shiny code for running the experiment. The Policy Evaluation folder contains: 1) an RData file, which includes the estimated preference parameters, and 2) an R script file, which includes a function that allows others to use our estimated preference parameters to evaluate alternative health policies which affect the distribution of health-related quality-of-life and population size. Further data and code will be uploaded on publication of our paper. Please contact us if you have any questions.
DOI: 10.17632/d5c9jstwgr.2
title: Experimental Estimation of Preferences on Population Health Ethics

description: This data accompanies the paper Allanson and Robson (2024), "Estimating Public Preferences on Population Health Ethics". In the paper, we design and run an online experiment, with a sample of the UK adult population, to estimate preferences on population ethics. Here, we provide data and code. The Experiment folder contains the R Shiny code for running the experiment. The Policy Evaluation folder contains: 1) an RData file, which includes the estimated preference parameters, and 2) an R script file, which includes a function that allows others to use our estimated preference parameters to evaluate alternative health policies which affect the distribution of health-related quality-of-life and population size. Further data and code will be uploaded on publication of our paper. Please contact us if you have any questions.
DOI: 10.17632/yc4np572zs
title: Dataset on Teaching-Learning Gamification

description: The Dataset on Teaching-Learning Gamification compiles quantitative and qualitative information on the application of gamification strategies in teaching-learning processes. It includes data collected through objective tests, rating scales, and observations applied to both students and teachers. The dataset encompasses metrics on motivation, role performance, task completion, group interaction, and integration, allowing for the analysis of gamification’s impact on academic performance and collaborative dynamics. This dataset is valuable for researchers, educators, and instructional designers interested in evaluating innovative methodologies, measuring their effectiveness, and generating scientific evidence on gamified education.
DOI: 10.17632/yc4np572zs.1
title: Dataset on Teaching-Learning Gamification

description: The Dataset on Teaching-Learning Gamification compiles quantitative and qualitative information on the application of gamification strategies in teaching-learning processes. It includes data collected through objective tests, rating scales, and observations applied to both students and teachers. The dataset encompasses metrics on motivation, role performance, task completion, group interaction, and integration, allowing for the analysis of gamification’s impact on academic performance and collaborative dynamics. This dataset is valuable for researchers, educators, and instructional designers interested in evaluating innovative methodologies, measuring their effectiveness, and generating scientific evidence on gamified education.
DOI: 10.17632/tr28cnvtdz
title: Entre la juicio y la decisión

description: Anonymized database and bioethical consent to conduct research
DOI: 10.17632/tr28cnvtdz.1
title: Entre la juicio y la decisión

description: Anonymized database and bioethical consent to conduct research
DOI: 10.17632/g5bxs89yk8
title: Back-PAQ answers Geneva

description: This is the dataset containing all Back-PAQ answers from medical students and general practicians in Geneva, for the study "Medical students' representations and beliefs about common low back pain : a cross-sectional study."

It is in CSV format. 

It contains 34 questions in french. The way to analyse the answers in explained in the document "explication Back-PAQ" and the questionnaire is accessible under the name "Back-PAQ 34 items"
DOI: 10.17632/g5bxs89yk8.1
title: Back-PAQ answers Geneva

description: This is the dataset containing all Back-PAQ answers from medical students and general practicians in Geneva, for the study "Medical students' representations and beliefs about common low back pain : a cross-sectional study."

It is in CSV format. 

It contains 34 questions in french. The way to analyse the answers in explained in the document "explication Back-PAQ" and the questionnaire is accessible under the name "Back-PAQ 34 items"
DOI: 10.17632/c37fj2xxsp
title: NEC mortality prediction

description: Our aim was to assess the predictive capacity of the Surviving Sepsis Calculator—a predictive model for adverse outcomes originally developed for late-onset sepsis (LOS) in preterm infants—in the context of Necrotizing Enterocolitis (NEC).
DOI: 10.17632/c37fj2xxsp.1
title: NEC mortality prediction

description: Our aim was to assess the predictive capacity of the Surviving Sepsis Calculator—a predictive model for adverse outcomes originally developed for late-onset sepsis (LOS) in preterm infants—in the context of Necrotizing Enterocolitis (NEC).
DOI: 10.17632/kxcfckmgb2
title: ELECTROCARDIOGRAM (ECG) SIGNAL PROCESSING

description: The attached files represent the core set of scripts and data required to reproduce the simulations presented in the article “Electrocardiogram Signal Processing: Integrating Filter Fusion Techniques”.
The files include implementations of ECG signal processing algorithms using different filtering techniques and their integration.
Running the main script loads the input data, applies preprocessing, and executes the filter fusion methods.
The outputs (plots and numerical results) correspond to the examples and figures reported in the article.
These files provide the essential basis for reproducing, verifying, and further extending the proposed methodology.
DOI: 10.17632/kxcfckmgb2.1
title: ELECTROCARDIOGRAM (ECG) SIGNAL PROCESSING

description: The attached files represent the core set of scripts and data required to reproduce the simulations presented in the article “Electrocardiogram Signal Processing: Integrating Filter Fusion Techniques”.
The files include implementations of ECG signal processing algorithms using different filtering techniques and their integration.
Running the main script loads the input data, applies preprocessing, and executes the filter fusion methods.
The outputs (plots and numerical results) correspond to the examples and figures reported in the article.
These files provide the essential basis for reproducing, verifying, and further extending the proposed methodology.
DOI: 10.15468/dl.vb67kk
title: Occurrence Download

description: A dataset containing 2101 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Eubalaena japonica, Eubalaena japonica)"
 ]
}

 The dataset includes 2101 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013445-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/hpdv6yvmsm
title: A Dual-Stream Deep Learning Framework for Multi-Label Classification of Dental Restorations in Panoramic Radiographs with Explainable AI Integration

description: Panoramic dental radiographs provide comprehensive views of dentition, but manual interpretation is time-consuming and prone to variability. Conventional convolutional neural networks often fail to detect fine features and rare pathologies, limiting clinical use. This study introduces a hybrid dual-stream deep learning framework combining Dense Pyramid-Net and Multi-Scale Hierarchical Attention Network for enhanced feature extraction. Using a curated panoramic dataset and an external public dataset (augmented and stratified 80:10:10), the framework applies ML-SPFS for optimized feature selection, followed by serial feature fusion and multi-label classification of seven dental conditions. Explainable AI was incorporated to ensure interpretability. The proposed method achieved 97.4% accuracy, outperforming state-of-the-art approaches. External validation confirmed generalization, while ablation studies highlighted the role of adaptive augmentation, hierarchical fusion, and optimized feature selection. The model also demonstrated high precision for rare classes and reduced inference time, supporting real-time clinical use. This work represents the first integration of MSHA-Net and Dense Pyramid-Net with ML-SPFS, providing a scalable AI framework that improves diagnostic reliability and supports evidence-based treatment planning in dentistry.
DOI: 10.34740/kaggle/dsv/12922482
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.17632/hpdv6yvmsm.1
title: A Dual-Stream Deep Learning Framework for Multi-Label Classification of Dental Restorations in Panoramic Radiographs with Explainable AI Integration

description: Panoramic dental radiographs provide comprehensive views of dentition, but manual interpretation is time-consuming and prone to variability. Conventional convolutional neural networks often fail to detect fine features and rare pathologies, limiting clinical use. This study introduces a hybrid dual-stream deep learning framework combining Dense Pyramid-Net and Multi-Scale Hierarchical Attention Network for enhanced feature extraction. Using a curated panoramic dataset and an external public dataset (augmented and stratified 80:10:10), the framework applies ML-SPFS for optimized feature selection, followed by serial feature fusion and multi-label classification of seven dental conditions. Explainable AI was incorporated to ensure interpretability. The proposed method achieved 97.4% accuracy, outperforming state-of-the-art approaches. External validation confirmed generalization, while ablation studies highlighted the role of adaptive augmentation, hierarchical fusion, and optimized feature selection. The model also demonstrated high precision for rare classes and reduced inference time, supporting real-time clinical use. This work represents the first integration of MSHA-Net and Dense Pyramid-Net with ML-SPFS, providing a scalable AI framework that improves diagnostic reliability and supports evidence-based treatment planning in dentistry.
DOI: 10.17632/k7w8bxmznp.1
title: Microbial Community Profiles of Biofilms from Seven Hot Springs: 16S and 18S rRNA Amplicon Sequencing Data

description: This dataset contains the fasta sequences and related information from 16S and 18S rRNA amplicon sequencing of biofilm samples from six hot springs located in the states of Selangor, Federal Territory Kuala Lumpur, and Negeri Sembilan in Malaysia. The ‘Readme’ file contains the methods of the study.
DOI: 10.17632/hkxgrp8cbj.1
title: Study on one-dimensional compression constitutive model of compacted loess and settlement calculation method of loess high fill geologic body
DOI: 10.17632/mcckffmr82
title: Technology, Trade and Economic Growth in Mozambique

description: Technology, Trade, and Economic Growth Dynamics in Mozambique: A Time-Series Analysis
DOI: 10.17632/mcckffmr82.1
title: Technology, Trade and Economic Growth in Mozambique

description: Technology, Trade, and Economic Growth Dynamics in Mozambique: A Time-Series Analysis
DOI: 10.15468/dl.6ptv6c
title: Occurrence Download

description: A dataset containing 1434 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nassella hyalina",
 "Country is Australia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1434 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013446-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mfm29u
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013447-250827131500795/datasets/export for details.
DOI: 10.15468/dl.wp66rr
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013448-250827131500795/datasets/export for details.
DOI: 10.17632/zft6z3tdmx
title: Supplementary material of "Transfers or Subsidies? Comparing Mitigation Strategies for Energy Price Shocks in a Production Network Model" by Hinterlang et al. (2025)

description: This directory contains supplementary material of the paper "Transfers or Subsidies? Comparing Mitigation Strategies for Energy Price Shocks in a Production Network Model"
 
by Natascha Hinterlang, Marius Jäger, Nikolai Stähler and Johannes Strobel (Economic Modelling)


Supplementary material encompasses:


i) Appendix I providing details on the FIGARO calibration (Appendix A), additional welfare results (Appendix B) and 
 additional results on direct and indirect effects via the production network (Appendix C).

ii) Appendix II providing simulation results using a WIOD based calibration.

iii) Replication files for simulations of the multi-sectoral DSGE model MuSe, including directories for the different scenarios described in the paper.
DOI: 10.17632/zft6z3tdmx.1
title: Supplementary material of "Transfers or Subsidies? Comparing Mitigation Strategies for Energy Price Shocks in a Production Network Model" by Hinterlang et al. (2025)

description: This directory contains supplementary material of the paper "Transfers or Subsidies? Comparing Mitigation Strategies for Energy Price Shocks in a Production Network Model"
 
by Natascha Hinterlang, Marius Jäger, Nikolai Stähler and Johannes Strobel (Economic Modelling)


Supplementary material encompasses:


i) Appendix I providing details on the FIGARO calibration (Appendix A), additional welfare results (Appendix B) and 
 additional results on direct and indirect effects via the production network (Appendix C).

ii) Appendix II providing simulation results using a WIOD based calibration.

iii) Replication files for simulations of the multi-sectoral DSGE model MuSe, including directories for the different scenarios described in the paper.
DOI: 10.17632/g3ymg66kr8.1
title: Modeling Holocene Glacial Isostatic Adjustment in Iceland Using Stress-Dependent Asthenospheric Viscosity

description: Misfit results for the various models ran. A-B misfits are averages of the values for the A-A' and B-B' profiles respectively.
DOI: 10.17632/ct6f2pnbg2
title: Institutional Pressures and Top Management Support

description: This dataset contains raw survey data of institutional pressures (i.e., coercive, mimetic, normative), firm characteristics, industry context, and top management support (TMS) in driving BIM adoption within Architecture, Engineering, and Construction (AEC) firms in developing countries.
DOI: 10.17632/ct6f2pnbg2.1
title: Institutional Pressures and Top Management Support

description: This dataset contains raw survey data of institutional pressures (i.e., coercive, mimetic, normative), firm characteristics, industry context, and top management support (TMS) in driving BIM adoption within Architecture, Engineering, and Construction (AEC) firms in developing countries.
DOI: 10.17632/wx7sv228hh.2
title: Supplemental materials for the study "Infection risk among psoriasis biologic-new users: a cohort study on the French National Health Data System"

description: Description:
This supplemental file includes detailed methods, tables, and figures covering:
(i) Methods – Data source and approvals, definitions of comorbidities and diseases, and ATC codes for medications;
(ii) Results – Baseline characteristics, types of serious infections (ICD-10), out-of-hospital infections (systemic antibacterials, antimycotics, antivirals, and non-systemic anti-infectives), IPTW diagnostics, and numeric results from crude, main, sensitivity, and post-hoc analyses.
DOI: 10.17632/7yry7xtgd3
title: Replication Code

description: This replication folder contains the necessary codes to replicate the quantitative results of the paper.
DOI: 10.17632/7yry7xtgd3.1
title: Replication Code

description: This replication folder contains the necessary codes to replicate the quantitative results of the paper.
DOI: 10.17632/xjjprsgm5z
title: Dataset of Evaluation of Surface Quality in Curved Layer Fused Deposition Modeling of Curved Geometries

description: Dataset for Results of Area roughness, Snapshots and Video footage of process
DOI: 10.17632/xjjprsgm5z.2
title: Dataset of Evaluation of Surface Quality in Curved Layer Fused Deposition Modeling of Curved Geometries

description: Dataset for Results of Area roughness, Snapshots and Video footage of process
DOI: 10.17632/c87gmt89rg
title: Turkey FMVM Companion Dataset (Monthly, 2015–2024)

description: This dataset provides the monthly companion file (Jan-2015 to Dec-2024) used in the study “Credibility Shocks and the Cost of Equity in Turkey: Evidence from a Multi-Premium Valuation Framework.” It contains the inputs and outputs of the Frontier Market Valuation Model (FMVM) for Turkey, expressed at monthly frequency.

The file is constructed by time-based linear interpolation of quarterly FMVM estimates originally derived from multiple sources, including Bloomberg and Reuters for market and macroeconomic variables, Borsa Istanbul (BIST) for trading indicators, and international governance datasets such as the World Bank’s Worldwide Governance Indicators (WGI), Transparency International’s Corruption Perceptions Index (CPI), and the PRS Group’s International Country Risk Guide (ICRG).

The dataset includes the following variables:

Forward P/E and Inverse P/E

Earnings Yield

Sovereign Risk Premium (CRP)

Liquidity Premium (LP)

Behavioral Premium (BP)

Institutional Quality Premium (IQP)

FMVM_Premium (CRP + LP + BP + IQP)

ERP_CAPM (fixed at 9.00)

ERP_CAPM_CRP (ERP_CAPM + CRP)

ERP_FMVM (FMVM_Premium)

All series are formatted with two-decimal precision. The monthly file is intended for visualization and consistent dating in figures.

Important note: All model calibration and out-of-sample validation in the paper are conducted on quarterly data (2015Q1–2024Q4). This monthly dataset does not alter econometric results and is provided solely as a reproducibility aid for figures and descriptive analysis.
DOI: 10.17632/c87gmt89rg.1
title: Turkey FMVM Companion Dataset (Monthly, 2015–2024)

description: This dataset provides the monthly companion file (Jan-2015 to Dec-2024) used in the study “Credibility Shocks and the Cost of Equity in Turkey: Evidence from a Multi-Premium Valuation Framework.” It contains the inputs and outputs of the Frontier Market Valuation Model (FMVM) for Turkey, expressed at monthly frequency.

The file is constructed by time-based linear interpolation of quarterly FMVM estimates originally derived from multiple sources, including Bloomberg and Reuters for market and macroeconomic variables, Borsa Istanbul (BIST) for trading indicators, and international governance datasets such as the World Bank’s Worldwide Governance Indicators (WGI), Transparency International’s Corruption Perceptions Index (CPI), and the PRS Group’s International Country Risk Guide (ICRG).

The dataset includes the following variables:

Forward P/E and Inverse P/E

Earnings Yield

Sovereign Risk Premium (CRP)

Liquidity Premium (LP)

Behavioral Premium (BP)

Institutional Quality Premium (IQP)

FMVM_Premium (CRP + LP + BP + IQP)

ERP_CAPM (fixed at 9.00)

ERP_CAPM_CRP (ERP_CAPM + CRP)

ERP_FMVM (FMVM_Premium)

All series are formatted with two-decimal precision. The monthly file is intended for visualization and consistent dating in figures.

Important note: All model calibration and out-of-sample validation in the paper are conducted on quarterly data (2015Q1–2024Q4). This monthly dataset does not alter econometric results and is provided solely as a reproducibility aid for figures and descriptive analysis.
DOI: 10.15468/dl.zgd99r
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Kottelatia brittani)",
 "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 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013449-250827131500795/datasets/export for details.