cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/icpsr39586.v1
title: Expanding Patient-Reported Outcomes Measurement Information System (PROMIS) Item Bank Development to the Pregnant Population [Methods Study], United States, 2017-2022
title: Version 1

description: Understanding patients' expectations and their experiences can help hospitals improve care. Hospitals often send surveys to patients to ask about their care. To create surveys quickly, hospitals sometimes pick questions from an item bank. An item bank is a list of survey questions available to use about a specific topic.
In this study, the research team created an item bank about childbirth care. The team used the item bank to create and carry out a survey about women's preferences and experiences with care during and after childbirth. The team looked at which questions related closely to women's overall ratings of their hospital care.
description: To use the Patient-Reported Outcomes Management Information System (PROMIS) methodology to develop an item bank of survey questions to measure the childbirth values, preferences, and experiences of women receiving childbirth and postpartum care services in a hospital and to use the item bank to develop a survey for validity testing
description: Item bank are collections of survey questions that researchers can use to create new surveys quickly. With input from community partners, healthcare providers, and advocates for pregnant women, the research team developed an item bank of survey questions to measure hospital childbirth experience from the patient perspective. The team tested a subset of questions from the item bank and validated questions in the survey to see which items were predictors of hospital satisfaction.
First, the team performed a literature review to find patient-reported survey items that measure women's values and preferences for childbirth services as well as experiences and outcomes, including satisfaction with hospital childbirth services. The team then developed domains and additional survey items by using methods adapted from PROMIS, including focus groups with women to identify missing content domains.
Community partners prioritized questions from the item bank, which the research team used to develop a survey. Using responses from 30 English-speaking women, the team assessed the survey for content and construct validity, interpretability, and respondent and administrative burden for online administration. The team created a Spanish version using similar methods.
The research team fielded the values and preferences of questions in the survey online to a national sample of 2,757 adult women who were at least 20 weeks pregnant. Of these women, 38% had at least some college education. The women completed the experiences and outcomes survey questions after they gave birth.
description: Datasets: 
DS1: Expanding Patient-Reported Outcomes Measurement Information System (PROMIS) Item Bank Development to the Pregnant Population [Methods Study], United States, 2017-2022
description: Female adults who were at least 20 weeks pregnant, based in United States.
DOI: 10.15468/dl.ff6qth
title: Occurrence Download

description: A dataset containing 14645 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-18.81283 -38.93226,61.09906 -38.93226,61.09906 52.28874,-18.81283 52.28874,-18.81283 -38.93226))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Capparis spinosa"
 ]
}

 The dataset includes 14645 records from 158 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005961-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/xzp5fdtt9g.1
title: Supplemental material for JODS (2025-27554)

description: Table S1. The relationship between the differential bacteria taxa, SCFAs, oxidative stress and inflammatory factors and osteoporosis parameters after CYC intervention.
DOI: 10.7910/dvn/gxkbk3
title: Replication Data for: Impact of Mass Shootings on Mental Health Policy

description: This dataset contains Replication data for the paper 'Impact of mass shootings on mental health policy'
DOI: 10.17632/vkwrrfnzyw
title: Prevalence of Dermatoses among Fishermen in Pondicherry: A Cross-Sectional Study of 150 Participants

description: The fishing occupation exposes workers to multiple dermatological risk factors including chronic seawater contact, elevated environmental humidity, mechanical trauma from fishing implements, and continuous ultraviolet radiation. These occupational exposures result in increased susceptibility to various cutaneous disorders. This investigation sought to determine the frequency and spectrum of cutaneous diseases within Pondicherry's fishing population, evaluate their understanding and implementation of skin protection measures, and examine the association between occupational duration and dermatological disease burden. Cross-sectional observational research has been held including 150 fishermen between 18 and 65 years of age from coastal communities in Pondicherry. Participants received complete dermatological assessments, and structured questionnaires captured demographic data, occupational duration, and skin protection knowledge which was done at a clinic located nearby to the coastal area.Fungal infections represented the predominant dermatological finding in this population. Dermatophytosis was diagnosed in 30% of participants, with pityriasis versicolor identified in 18.0%. The study cohort consisted of 66.7% males and 33.3% females. The mean occupational duration was 18.5 years and 36.6 percent of the subjects had worked more than 20 years in fishing. A major dose effect trend was observed.The most significant dermatological issue of the fishing population in Pondicherry is that of mycological infections and the disease is more prevalent in proportion to the working experience. Certain preventive measures and education is crucial.
DOI: 10.17632/vkwrrfnzyw.1
title: Prevalence of Dermatoses among Fishermen in Pondicherry: A Cross-Sectional Study of 150 Participants

description: The fishing occupation exposes workers to multiple dermatological risk factors including chronic seawater contact, elevated environmental humidity, mechanical trauma from fishing implements, and continuous ultraviolet radiation. These occupational exposures result in increased susceptibility to various cutaneous disorders. This investigation sought to determine the frequency and spectrum of cutaneous diseases within Pondicherry's fishing population, evaluate their understanding and implementation of skin protection measures, and examine the association between occupational duration and dermatological disease burden. Cross-sectional observational research has been held including 150 fishermen between 18 and 65 years of age from coastal communities in Pondicherry. Participants received complete dermatological assessments, and structured questionnaires captured demographic data, occupational duration, and skin protection knowledge which was done at a clinic located nearby to the coastal area.Fungal infections represented the predominant dermatological finding in this population. Dermatophytosis was diagnosed in 30% of participants, with pityriasis versicolor identified in 18.0%. The study cohort consisted of 66.7% males and 33.3% females. The mean occupational duration was 18.5 years and 36.6 percent of the subjects had worked more than 20 years in fishing. A major dose effect trend was observed.The most significant dermatological issue of the fishing population in Pondicherry is that of mycological infections and the disease is more prevalent in proportion to the working experience. Certain preventive measures and education is crucial.
DOI: 10.17632/mt4mj23j73
title: Planetary Health: A Comprehensive View of Food in Brazil - PHFood Brazil

description: This dataset is a result of the "Integrating national open databases for a comprehensive view on food, environment and health in Brazil", an initiative that integrates diverse national open databases to provide insights into food production, consumption, environmental impact, and public health in Brazil from 1974 to 2022. The primary hypothesis behind the dataset is that analyzing food systems, nutrition, and agricultural practices over time will reveal patterns that can inform sustainable food policies and health interventions.
We hypothesize that by aggregating and harmonizing data from various national sources, it will be possible to identify critical relationships between food production, nutrient availability, and environmental sustainability. This integrated dataset allows us to evaluate how agricultural practices and food consumption patterns have evolved in response to changing environmental, economic, and societal conditions in Brazil.
Food Production and Nutrient Data: The dataset includes detailed information on harvested areas, food production (in tons), and nutrient availability (e.g., energy, protein, fiber, vitamins, and minerals) for various food groups across different Brazilian regions and states.
Water and Environmental Data: Water usage, deficit, and environmental impact data are linked to agricultural activities, allowing the assessment of water efficiency in food production.
Pesticides and Residue Monitoring: Information on pesticide usage, maximum residue levels (MRL), and residue percentage in food items is provided, with additional details on authorized pesticide types, toxicity classifications, and environmental risks. Food Consumption: Data on food acquisition and consumption patterns, broken down by food groups (e.g., beans, vegetables, fruits), are presented, highlighting dietary trends across various population groups.
Data Collection and Methodology: The dataset was constructed by linking several government datasets, including agricultural statistics, water use reports, and residue monitoring programs. Each dataset was meticulously harmonized to ensure compatibility and completeness, following Extract, Transform, Load (ETL) processes. The data was collected over several decades, representing longitudinal trends in food systems and health. The harmonization process ensures that all data fields are consistent and comparable across time and regions.
Interpretation and Use: This dataset can be used to explore the connections between food systems, health, and the environment. It supports studies in agrifood systems, sustainability, public health, and climate change. Researchers can investigate the impacts of food production on nutrient availability, water consumption, and pesticide use over time. It can also be used to model future food system sustainability under different climate scenarios and dietary patterns, contributing to the development of food policies that balance human and planetary health.
DOI: 10.17632/mt4mj23j73.11
title: Planetary Health: A Comprehensive View of Food in Brazil - PHFood Brazil

description: This dataset is a result of the "Integrating national open databases for a comprehensive view on food, environment and health in Brazil", an initiative that integrates diverse national open databases to provide insights into food production, consumption, environmental impact, and public health in Brazil from 1974 to 2022. The primary hypothesis behind the dataset is that analyzing food systems, nutrition, and agricultural practices over time will reveal patterns that can inform sustainable food policies and health interventions.
We hypothesize that by aggregating and harmonizing data from various national sources, it will be possible to identify critical relationships between food production, nutrient availability, and environmental sustainability. This integrated dataset allows us to evaluate how agricultural practices and food consumption patterns have evolved in response to changing environmental, economic, and societal conditions in Brazil.
Food Production and Nutrient Data: The dataset includes detailed information on harvested areas, food production (in tons), and nutrient availability (e.g., energy, protein, fiber, vitamins, and minerals) for various food groups across different Brazilian regions and states.
Water and Environmental Data: Water usage, deficit, and environmental impact data are linked to agricultural activities, allowing the assessment of water efficiency in food production.
Pesticides and Residue Monitoring: Information on pesticide usage, maximum residue levels (MRL), and residue percentage in food items is provided, with additional details on authorized pesticide types, toxicity classifications, and environmental risks. Food Consumption: Data on food acquisition and consumption patterns, broken down by food groups (e.g., beans, vegetables, fruits), are presented, highlighting dietary trends across various population groups.
Data Collection and Methodology: The dataset was constructed by linking several government datasets, including agricultural statistics, water use reports, and residue monitoring programs. Each dataset was meticulously harmonized to ensure compatibility and completeness, following Extract, Transform, Load (ETL) processes. The data was collected over several decades, representing longitudinal trends in food systems and health. The harmonization process ensures that all data fields are consistent and comparable across time and regions.
Interpretation and Use: This dataset can be used to explore the connections between food systems, health, and the environment. It supports studies in agrifood systems, sustainability, public health, and climate change. Researchers can investigate the impacts of food production on nutrient availability, water consumption, and pesticide use over time. It can also be used to model future food system sustainability under different climate scenarios and dietary patterns, contributing to the development of food policies that balance human and planetary health.
DOI: 10.5287/ora-2ngvdyoge
title: On cost, Over time: How Scandinavian transport infrastructure challenges conventional understanding of project delivery performance (dataset)

description: This spreadsheet contains source data for the paper: <br>Author - Dr Paul Chapman OBE, Senior Fellow <br>Paper title - On cost, Over time: How Scandinavian transport infrastructure challenges conventional understanding of project delivery performance <br>Journal - International Journal of Project Management <br>DOI https://doi.org/10.1016/j.ijproman.2025.102787<br>Publication date 03-Nov-25 <br><br>Data was retrieved from Annual Reports of government agencies responsible for the delivery of these transport infrastructure schemes, as listed in Table 4 of the paper. Parties are invited to access the original source material from these Annual Reports, which are available on-line, to satisfy themselves over the provenance of data assembled here
DOI: 10.7910/dvn/euvo8p
title: Miscibility of Sulfate Planetary Ionic Liquids with Water FTIR data

description: This folder contains FTIR data that is part of paper titled Miscibility of Sulfate Planetary Ionic Liquids with Water. The file name represents X and Y data points for the creation of the graphs accordingly. The data acquisition is presented Method section.
DOI: 10.5281/zenodo.17701200
title: Extreme Weather Events and Food Insecurity: Systematic Review and Meta-analysis Protocol

description: Supplementary extended data for the article "Extreme Weather Events and Food Insecurity: Systematic Review and Meta-analysis Protocol".
DOI: 10.5281/zenodo.17701201
title: Extreme Weather Events and Food Insecurity: Systematic Review and Meta-analysis Protocol

description: Supplementary extended data for the article "Extreme Weather Events and Food Insecurity: Systematic Review and Meta-analysis Protocol".
DOI: 10.34847/nkl.bdcc0732
title: 14 Données démographiques
title: 14 Demographic Data

description: Les données rassemblées ici proviennent d'un ensemble de sources issues de la Statistique Générale de la France (voir : Loua, Toussaint, Atlas statistique de la population de Paris. Paris, J. Dejey, 1873) et de l'Annuaire statistique de la ville de Paris
DOI: 10.34847/nkl.c8fdz775
title: 13 Doctors by arrondissement
title: 13 Médecins par arrondissement

description: Ce jeu de données réunit des informations sur les médecins exerçant à Paris et dans sa banlieue entre 1861 et 1951, construites à partir de plusieurs sources historiques. Les données proviennent d’annuaires professionnels (Annuaire-almanach du commerce, Didot-Bottin) et d’un échantillon pondéré élaboré à partir des travaux de Jean Daric (1953). Elles permettent d’analyser la distribution géographique des médecins et l’évolution de la profession médicale sur près d’un siècle.
DOI: 10.15468/dl.nxxc2h
title: Occurrence Download

description: A dataset listing the 37 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Plantación de árboles nativos con fines de restauración en el departamento de Cundinamarca, como parte de la iniciativa 180 millones de árboles nativos"
 ]
}

 The dataset's 37 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005957-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gqhp2r
title: Occurrence Download

description: A dataset containing 732 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation, Occurrence evidence)",
 "TaxonKey is Neonectria ditissima"
 ]
}

 The dataset includes 732 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005965-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tj4mwt
title: Occurrence Download

description: A dataset containing 18806 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ruditapes philippinarum"
 ]
}

 The dataset includes 18806 records from 196 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005964-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/cf7hdbdxps
title: The Economics of Resilience: How Firms Overcome Perceived Policy Shocks in a Dynamic Environment

description: README: Replication Package
Paper Title
The Economics of Resilience: How Firms Overcome Perceived Policy Shocks in a Dynamic Environment
Authors:
Chengming Huang (Hangzhou City University)
Dr. Sultan Sikandar Mirza (University of Waikato)
Chengwei Zhang (Johns Hopkins University)

Date: November 24, 2025

This This replication package provides all the data, code, and instructions required to reproduce the main empirical results of the above-mentioned research paper. The package is designed to facilitate transparency and enable independent verification of all statistical findings reported in the study.
DOI: 10.17632/cf7hdbdxps.1
title: The Economics of Resilience: How Firms Overcome Perceived Policy Shocks in a Dynamic Environment

description: README: Replication Package
Paper Title
The Economics of Resilience: How Firms Overcome Perceived Policy Shocks in a Dynamic Environment
Authors:
Chengming Huang (Hangzhou City University)
Dr. Sultan Sikandar Mirza (University of Waikato)
Chengwei Zhang (Johns Hopkins University)

Date: November 24, 2025

This This replication package provides all the data, code, and instructions required to reproduce the main empirical results of the above-mentioned research paper. The package is designed to facilitate transparency and enable independent verification of all statistical findings reported in the study.
DOI: 10.17632/9yswvhcwgn
title: Automotive Tweets Dataset

description: This dataset contains tweets about Mitsubishi automotive products in Bahasa Indonesia from 2014 to 2024.
DOI: 10.7910/dvn/5se9ln
title: Replication Data for: "Why the Core of the AfD’s Support Will Not Shift to the BSW: Explaining the Persistence of Far-Right Support in Thuringia, 2024"

description: This repository contains the code used to replicate the results presented in the manuscript.
DOI: 10.17632/9yswvhcwgn.1
title: Automotive Tweets Dataset

description: This dataset contains tweets about Mitsubishi automotive products in Bahasa Indonesia from 2014 to 2024.
DOI: 10.17632/trjgk9nmrk
title: Tri-Functional CRISPR Screen Reveals Overexpression of QDR2 and QDR3 Transporters Increase Fumaric Acid Production in Kluyveromyces marxianus

description: Dataset for the manuscript "Tri-Functional CRISPR Screen Reveals Overexpression of QDR2 and QDR3 Transporters Increase Fumaric Acid Production in Kluyveromyces marxianus "
DOI: 10.17632/trjgk9nmrk.1
title: Tri-Functional CRISPR Screen Reveals Overexpression of QDR2 and QDR3 Transporters Increase Fumaric Acid Production in Kluyveromyces marxianus

description: Dataset for the manuscript "Tri-Functional CRISPR Screen Reveals Overexpression of QDR2 and QDR3 Transporters Increase Fumaric Acid Production in Kluyveromyces marxianus "
DOI: 10.17632/38hgzfn46t
title: A fin loop–like structure in GPX4 underlies neuroprotection from ferroptosis

description: Western Blot source data for "A fin loop–like structure in GPX4 underlies neuroprotection from ferroptosis".
DOI: 10.15468/dl.kamhuw
title: Occurrence Download

description: A dataset containing 390991 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "GadmGid is PRT.12.7_1",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 390991 records from 200 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005946-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xjczuz
title: Occurrence Download

description: A dataset containing 19174 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Costa Rica",
 "OccurrenceStatus is Present",
 "TaxonKey is Hylidae"
 ]
}

 The dataset includes 19174 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003680-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p5g87h
title: Occurrence Download

description: A dataset listing the 25 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-1160.03255 -3.24052,-1160.03363 -3.23297,-1160.03472 -3.22973,-1160.13199 -3.37216,-1160.21522 -3.33872,-1160.27898 -3.3808,-1160.23791 -3.45416,-1160.19792 -3.48006,-1160.18266 -3.54983,-1160.20308 -3.57973,-1160.16632 -3.63545,-1160.12819 -3.68437,-1160.09823 -3.71155,-1159.94843 -3.63001,-1159.84494 -3.79444,-1159.67063 -3.76319,-1159.56033 -3.72786,-1159.42551 -3.53759,-1159.43504 -3.49138,-1159.5576 -3.41254,-1159.70468 -3.36224,-1159.74825 -3.32418,-1159.68833 -3.30379,-1159.60799 -3.11752,-1159.87081 -3.07944,-1160.03255 -3.24052))",
 "HasGeospatialIssue is false",
 "TaxonKey is Orthoptera"
 ]
}

 The dataset's 25 records were derived from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003679-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2kankx
title: Occurrence Download

description: A dataset listing the 100 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Costa Rica",
 "OccurrenceStatus is Present",
 "TaxonKey is Hylidae"
 ]
}

 The dataset's 100 records were derived from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003681-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.