cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14798663
title: Factors associated with interprofessional engagement in debriefing following pediatric simulation-based team training

description: Simulation offers a high fidelity modality to deliver and study team-based interprofessional education. Debriefing the following simulated scenarios is a critical component of this training. Little data exist to inform best practices to optimize interprofessional engagement during debriefing. This pilot study analyzed interprofessional debriefing events following 20 pediatric simulation-based team trainings to identify associations between modifiable factors and learner engagement. Reviewers observed a total of 236 learners, using a previously published tool to assess learner engagement. Data related to the scenario, debriefing, learners, and facilitators were collected. Spearman’s correlation was used to analyze the association between factors of interest and average learner engagement scores for each debriefing event. Mean engagement did not differ between physicians and nurses, but was lower for other professionals. Average learner engagement was inversely related to learner group size, but not to the proportion of learners in each profession. Oral participation differed significantly between professions for both learners and co-facilitators, with physicians speaking more in both groups. Students of all professions had lower engagement and spoke less frequently. This study identifies several modifiable factors, including total group size, learner level, and facilitator behavior that were associated with interprofessional engagement during debriefing following simulation-based team training.
DOI: 10.6084/m9.figshare.14798663.v1
title: Factors associated with interprofessional engagement in debriefing following pediatric simulation-based team training

description: Simulation offers a high fidelity modality to deliver and study team-based interprofessional education. Debriefing the following simulated scenarios is a critical component of this training. Little data exist to inform best practices to optimize interprofessional engagement during debriefing. This pilot study analyzed interprofessional debriefing events following 20 pediatric simulation-based team trainings to identify associations between modifiable factors and learner engagement. Reviewers observed a total of 236 learners, using a previously published tool to assess learner engagement. Data related to the scenario, debriefing, learners, and facilitators were collected. Spearman’s correlation was used to analyze the association between factors of interest and average learner engagement scores for each debriefing event. Mean engagement did not differ between physicians and nurses, but was lower for other professionals. Average learner engagement was inversely related to learner group size, but not to the proportion of learners in each profession. Oral participation differed significantly between professions for both learners and co-facilitators, with physicians speaking more in both groups. Students of all professions had lower engagement and spoke less frequently. This study identifies several modifiable factors, including total group size, learner level, and facilitator behavior that were associated with interprofessional engagement during debriefing following simulation-based team training.
DOI: 10.6084/m9.figshare.13348543
title: Establishing trust within interprofessional teams with a novel simulation activity in the pediatric clerkship

description: Interprofessional trust is essential for effective team-based care. Medical students are transient members of clinical teams during clerkship rotations and there may be limited focus on developing competency in interprofessional collaboration. Within a pediatric clerkship rotation, we developed a novel simulation activity involving an interprofessional conflict, aiming to foster trusting interprofessional relationships. Active participants included a nurse educator and a medical student participant, with additional students using a checklist to actively observe. The debrief focused on teaching points related to interprofessional competencies and conflict resolution. Students completed a written evaluation immediately following the simulation. Descriptive statistics were used to analyze Likert-type scale questions. Conventional content analysis was used to analyze open-ended responses. Two hundred and fourteen students participated in the simulation between June 2018-June 2019. Most students indicated that the simulation was effective (86%) and improved their confidence to constructively manage disagreements about patient care (88%). Students described anticipated changes in practice including developing their role on the interprofessional team as a medical student, developing a shared mental model, and establishing a shared goal. Our findings suggest that simulation-based learning may present an opportunity for developing interprofessional trust in academic health centers.
DOI: 10.6084/m9.figshare.13348543.v1
title: Establishing trust within interprofessional teams with a novel simulation activity in the pediatric clerkship

description: Interprofessional trust is essential for effective team-based care. Medical students are transient members of clinical teams during clerkship rotations and there may be limited focus on developing competency in interprofessional collaboration. Within a pediatric clerkship rotation, we developed a novel simulation activity involving an interprofessional conflict, aiming to foster trusting interprofessional relationships. Active participants included a nurse educator and a medical student participant, with additional students using a checklist to actively observe. The debrief focused on teaching points related to interprofessional competencies and conflict resolution. Students completed a written evaluation immediately following the simulation. Descriptive statistics were used to analyze Likert-type scale questions. Conventional content analysis was used to analyze open-ended responses. Two hundred and fourteen students participated in the simulation between June 2018-June 2019. Most students indicated that the simulation was effective (86%) and improved their confidence to constructively manage disagreements about patient care (88%). Students described anticipated changes in practice including developing their role on the interprofessional team as a medical student, developing a shared mental model, and establishing a shared goal. Our findings suggest that simulation-based learning may present an opportunity for developing interprofessional trust in academic health centers.
DOI: 10.15468/dl.aapg55
title: Occurrence Download

description: A dataset containing 2193 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Croton tiglium"
 ]
}

 The dataset includes 2193 records from 90 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037848-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r9rccs
title: Occurrence Download

description: A dataset containing 550 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Wallemia muriae",
 "HasCoordinate is true"
 ]
}

 The dataset includes 550 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037849-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fce4np
title: Occurrence Download

description: A dataset containing 2712 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-176.62001 7.30152,-28.37999 7.30152,-28.37999 66.69848,-176.62001 66.69848,-176.62001 7.30152))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Corynorhinus townsendii",
 "Year 1970-2020"
 ]
}

 The dataset includes 2712 records from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037850-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17605/osf.io/srdfj
title: Stability of self-standards

description: The project concerns stability of four types of self-standards: the ideal self, the ought self, the undesired self and the forbidden self. It takes into account two aspects of stability: (a) changes in the content of attributes used to describe each of the four self-standards, (b) the stability of beliefs related to actualization (ACT) and attainability (ATB) of those standards.

The project is composed of three independent studies:
Study 1: N = 64, aged between 19 and 31 (M = 21.78, SD = 1.87);
Study 2, subsample 1: N = 88, aged between 19 and 55 (M = 33.40, SD = 11.72);
Study 2, subsample 2: N = 58, aged between 14 and 15 (M = 14.60, SD = 0.49);
Study 3: N = 41, aged between 59 and 89 (M = 74.46, SD = 8.23);
DOI: 10.34740/kaggle/dsv/13756388
title: Daftar Pengadilan Indonesia
DOI: 10.15468/dl.n8pzrx
title: Occurrence Download

description: A dataset containing 3540 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cassia occidentalis"
 ]
}

 The dataset includes 3540 records from 245 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037851-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uz6v46
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hoplitis loreicornis"
 ]
}

 The dataset includes 6 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037852-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/13756400
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5281/zenodo.17623915
title: AED-in-vehicles cost–utility model: aggregated inputs, PSA distributions, model equations and example Python code

description: This repository contains the data and code package accompanying the manuscript“Automated external defibrillators in vehicles to close night-time and rural gaps: a European cost–utility analysis”.

The package includes:– AED_vehicles_base_case_inputs.xlsx: aggregated epidemiological, outcome, cost and scenario parameters used in the static cost–utility model, plus global settings and stratum-level calibration values.– AED_vehicles_PSA_distributions.xlsx: parameter ranges and triangular distributions used for probabilistic sensitivity analysis (PSA).– AED_vehicles_model_structure_equations.docx: technical appendix describing the model structure, assumptions and core equations.– AED_vehicles_model_example.py: example Python implementation of the model, reproducing the base-case results and PSA.– README_AED_vehicles_package.txt: documentation of all files and how to use them.

The simulation uses only published, aggregate data and official reports; no individual-level or identifiable patient data were collected or generated.
DOI: 10.15468/dl.u84gsd
title: Occurrence Download

description: A dataset containing 3617 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-154.91334 28.20101,-56.08666 28.20101,-56.08666 67.79899,-154.91334 67.79899,-154.91334 28.20101))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Zapus princeps",
 "Year 1970-2020"
 ]
}

 The dataset includes 3617 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037853-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30630713
title: Disproportionality Analysis of Fondaparinux-Associated Adverse Events Based on the FDA Adverse Event Reporting System (FAERS)

description: This dataset contains the minimal underlying data used to reproduce the findings of the study titled “Safety profile of fondaparinux based on the FAERS database: a disproportionality analysis”. The data were derived from the publicly accessible FDA Adverse Event Reporting System (FAERS) and processed to generate a clean analytical dataset suitable for reporting odds ratio (ROR), proportional reporting ratio (PRR), Bayesian Confidence Propagation Neural Network (BCPNN), and Empirical Bayesian Geometric Mean (EBGM) analyses.The dataset includes essential variables required to replicate all statistical analyses and figures in the manuscript, including drug information, reaction terms, patient demographic characteristics, outcomes, indications, therapy dates, and report sources. All personally identifiable information has been removed, and only de-identified data fields are retained.<br>Raw FAERS data are not included here because they are publicly available from the FDA website. Instead, this dataset provides the cleaned and structured data that were used as input for the statistical algorithms in the paper.File contents include:• Drug file (drug role, product name, substance name)• Reaction file (MedDRA preferred terms)• Indication file• Outcome file• Therapy file (start/stop dates)• Report source• Consolidated minimal dataset for analysis<br>This repository supports full reproducibility in accordance with PLOS ONE’s data availability requirements.
DOI: 10.6084/m9.figshare.30630713.v1
title: Disproportionality Analysis of Fondaparinux-Associated Adverse Events Based on the FDA Adverse Event Reporting System (FAERS)

description: This dataset contains the minimal underlying data used to reproduce the findings of the study titled “Safety profile of fondaparinux based on the FAERS database: a disproportionality analysis”. The data were derived from the publicly accessible FDA Adverse Event Reporting System (FAERS) and processed to generate a clean analytical dataset suitable for reporting odds ratio (ROR), proportional reporting ratio (PRR), Bayesian Confidence Propagation Neural Network (BCPNN), and Empirical Bayesian Geometric Mean (EBGM) analyses.The dataset includes essential variables required to replicate all statistical analyses and figures in the manuscript, including drug information, reaction terms, patient demographic characteristics, outcomes, indications, therapy dates, and report sources. All personally identifiable information has been removed, and only de-identified data fields are retained.<br>Raw FAERS data are not included here because they are publicly available from the FDA website. Instead, this dataset provides the cleaned and structured data that were used as input for the statistical algorithms in the paper.File contents include:• Drug file (drug role, product name, substance name)• Reaction file (MedDRA preferred terms)• Indication file• Outcome file• Therapy file (start/stop dates)• Report source• Consolidated minimal dataset for analysis<br>This repository supports full reproducibility in accordance with PLOS ONE’s data availability requirements.
DOI: 10.15468/dl.726qqv
title: Occurrence Download

description: A dataset containing 144828 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ganoderma",
 "HasCoordinate is true"
 ]
}

 The dataset includes 144828 records from 640 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037844-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ww5h2g
title: Occurrence Download

description: A dataset containing 135 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "Geometry POLYGON((-106.46072 35.22955,-106.5033 35.18607,-106.50862 35.07727,-106.50542 34.95524,-106.46605 34.94826,-106.43305 34.98925,-106.43412 35.0912,-106.43412 35.19216,-106.46072 35.22955))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aspidoscelis"
 ]
}

 The dataset includes 135 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037854-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17624168
title: AED-in-vehicles cost–utility model: aggregated inputs, PSA distributions, model equations and example Python code

description: This repository contains the data and code package accompanying the manuscript“Automated external defibrillators in vehicles to close night-time and rural gaps: a European cost–utility analysis”.

The package includes:– AED_vehicles_base_case_inputs.xlsx: aggregated epidemiological, outcome, cost and scenario parameters used in the static cost–utility model, plus global settings and stratum-level calibration values.– AED_vehicles_PSA_distributions.xlsx: parameter ranges and triangular distributions used for probabilistic sensitivity analysis (PSA).– AED_vehicles_model_structure_equations.docx: technical appendix describing the model structure, assumptions and core equations.– AED_vehicles_model_example.py: example Python implementation of the model, reproducing the base-case results and PSA.– README_AED_vehicles_package.txt: documentation of all files and how to use them.

The simulation uses only published, aggregate data and official reports; no individual-level or identifiable patient data were collected or generated.
DOI: 10.5281/zenodo.17624169
title: AED-in-vehicles cost–utility model: aggregated inputs, PSA distributions, model equations and example Python code

description: This repository contains the data and code package accompanying the manuscript“Automated external defibrillators in vehicles to close night-time and rural gaps: a European cost–utility analysis”.

The package includes:– AED_vehicles_base_case_inputs.xlsx: aggregated epidemiological, outcome, cost and scenario parameters used in the static cost–utility model, plus global settings and stratum-level calibration values.– AED_vehicles_PSA_distributions.xlsx: parameter ranges and triangular distributions used for probabilistic sensitivity analysis (PSA).– AED_vehicles_model_structure_equations.docx: technical appendix describing the model structure, assumptions and core equations.– AED_vehicles_model_example.py: example Python implementation of the model, reproducing the base-case results and PSA.– README_AED_vehicles_package.txt: documentation of all files and how to use them.

The simulation uses only published, aggregate data and official reports; no individual-level or identifiable patient data were collected or generated.
DOI: 10.15468/dl.bn67cx
title: Occurrence Download

description: A dataset containing 11808 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation)",
 "Geometry POLYGON((-180 -20,180 -20,180 55,-180 55,-180 -20))",
 "OccurrenceStatus is Present",
 "TaxonKey is Solanum tuberosum"
 ]
}

 The dataset includes 11808 records from 239 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037856-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17624163
title: In situ impedance spectroscopy tests of Li4-xGe1-xPxO4 as potential solid-state electrolyte for Micro Li-ion Batteries
DOI: 10.15468/dl.wfe5s4
title: Occurrence Download

description: A dataset containing 1152 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Yucca filifera"
 ]
}

 The dataset includes 1152 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037857-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z224ug
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Protosmia curviseta"
 ]
}

 The dataset includes 19 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037859-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mcktwn
title: Occurrence Download

description: A dataset containing 91232 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Icterus prosthemelas",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 91232 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037836-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wm2f4s
title: Occurrence Download

description: A dataset containing 1758 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is DBRC Reptile Records 1950 - 2015"
 ]
}

 The dataset includes 1758 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037860-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17624059
title: Hydrological, soil biogeochemical, and dual-isotope data from the Matsuzawa catchment (1989–2023)

description: These data were collected through long-term hydrological monitoring (1990–2023) and multiple biogeochemical surveys conducted over the same period in the Matsuzawa catchment, a forested watershed in Shiga Prefecture, Japan.

This metadata package contains three files:

 





Dual_isotopic_analyses_M.xlsx




HydrologicalData_M.xlsx




Soil_N_Biochemical.xlsx



 

Please refer to the accompanying README file for detailed information on data structure and variable descriptions.
DOI: 10.5281/zenodo.17624060
title: Hydrological, soil biogeochemical, and dual-isotope data from the Matsuzawa catchment (1989–2023)

description: These data were collected through long-term hydrological monitoring (1990–2023) and multiple biogeochemical surveys conducted over the same period in the Matsuzawa catchment, a forested watershed in Shiga Prefecture, Japan.

This metadata package contains three files:

 





Dual_isotopic_analyses_M.xlsx




HydrologicalData_M.xlsx




Soil_N_Biochemical.xlsx



 

Please refer to the accompanying README file for detailed information on data structure and variable descriptions.
DOI: 10.5281/zenodo.17624202
title: Intralaminar damage data - including residual stresses
DOI: 10.15468/dl.avttr8
title: Occurrence Download

description: A dataset containing 171803 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Icterus pustulatus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 171803 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037837-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.