cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/ggk-tp9-pf8
title: Pongo pygmaeus (Linnaeus, 1760)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/hnp-34k-bgy
title: Macaca Lacépède, 1799

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ttn-dvx-a8x
title: Cervus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/nx1-fp2-m8j
title: Cervus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/plr-2h5-5jl
title: Pongo pygmaeus (Linnaeus, 1760)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.645pxv
title: Occurrence Download

description: A dataset containing 98 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chromolaena odorata",
 "Country is Togo",
 "HasCoordinate is true"
 ]
}

 The dataset includes 98 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023831-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/eqq-4b4-y9l
title: Python

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/fra-73a-1bs
title: Duboisia Szidat, 1936

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.7pnzc6
title: Occurrence Download

description: A dataset containing 43 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chromolaena odorata",
 "Country is Trinidad and Tobago",
 "HasCoordinate is true"
 ]
}

 The dataset includes 43 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023832-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/7tz-jdf-a4v
title: Rhinoceros Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/fps-mw7-r2d
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/kw3-epr-7b6
title: Homo sapiens Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/8ed-hja-5hx
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/c8g-map-p4x
title: Macaca Lacépède, 1799

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/6sr-x4p-22l
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/egr-q7h-ctr
title: Homo sapiens Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/k9h-pfx-4md
title: Pongo pygmaeus (Linnaeus, 1760)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/393-wmg-yz8
title: Sus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/j0z-z65-lpe
title: Pongo pygmaeus (Linnaeus, 1760)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/rpt-wqq-ct6
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/qjp-ba0-x56
title: Symphalangus Gloger, 1841

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/re5-40b-jc2
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/8b9-1vx-v8a
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/d69-a2y-340
title: Sus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/2wa-p6m-0n3
title: Cervidae Goldfuss, 1820

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/6hj-8ph-06q
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/7wa-0tg-fcj
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/b4h-x8g-9sx
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/spz-1c3-rfr
title: Muntiacus muntjak (Zimmermann, 1780)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/990-50z-3na
title: Bovidae Gray, 1821

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/x1g-yxk-fha
title: Pongo pygmaeus (Linnaeus, 1760)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/veg-d69-fv2
title: Pongo pygmaeus (Linnaeus, 1760)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/9h5-9bj-a04
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/mgk-j75-th5
title: Bovidae Gray, 1821

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/c0c-s2s-l3l
title: Cervus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.yqj8ex
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "Geometry POLYGON ((-73.173752 45.53377, -73.124313 45.53377, -73.124313 45.569832, -73.173752 45.569832, -73.173752 45.53377))",
 "TaxonKey is Tracheophyta",
 "Year is greater than 2010",
 "GadmGid is CAN.11_1",
 "DatasetKey is one of (Herbier Louis-Marie (QFA) - Collection de plantes vasculaires, Herbier du Québec (QUE) - Collection de plantes vasculaires, Jardin botanique de Montréal (JBM), Marie-Victorin Herbarium (MT) - Plantes vasculaires, National Collection of Vascular Plants (DAO), UQTR-herbarium (Herbier Estelle-Lacoursière))",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 41 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039436-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6z5998
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "Geometry POLYGON ((-73.173752 45.53377, -73.124313 45.53377, -73.124313 45.569832, -73.173752 45.569832, -73.173752 45.53377))",
 "TaxonKey is Tracheophyta",
 "Year is greater than 2010",
 "GadmGid is CAN.11_1",
 "DatasetKey is one of (Herbier Louis-Marie (QFA) - Collection de plantes vasculaires, Herbier du Québec (QUE) - Collection de plantes vasculaires, Jardin botanique de Montréal (JBM), Marie-Victorin Herbarium (MT) - Plantes vasculaires, National Collection of Vascular Plants (DAO), UQTR-herbarium (Herbier Estelle-Lacoursière))",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 41 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039438-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9pdcrh
title: Occurrence Download

description: A dataset containing 192 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Triodiomyces",
 "HasCoordinate is true"
 ]
}

 The dataset includes 192 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039437-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60541/bc6j-9f36
title: Youth Sports Traumatic Brain Injury Laws

description: According to the Centers for Disease Control and Prevention, each year as many as 300,000 young people suffer traumatic brain injuries (TBIs), or what is more commonly known as a concussion, from playing sports. TBIs can have serious short and long-term health effects, and all states have passed laws aimed at reducing harm from brain injuries occurring during youth sports activities.

This dataset identifies and displays key features of such laws across all 50 states and the District of Columbia, and over time.
DOI: 10.6084/m9.figshare.25780089
title: Divided by the jab: affective polarisation based on COVID vaccination status

description: Group-based affective polarisation can emerge around new issues that divide citizens. The public response to vaccines against COVID-19 provided a clear example of a new basis for group divides. Despite scientific consensus regarding the dangers of SARS-CoV-2 as well as the safety and effectiveness of available vaccinations, the public response to the COVID-19 pandemic was strongly politicised during the height of the health crisis. Positive social identities and negative out-group stereotyping developed around support or opposition to the vaccines. Panel survey data from Austria shows that vaccination identities are clearly identifiable and are related to extensive trait-based stereotyping of in- and out-group members. Moreover, we show that vaccination identities are linked to political identities and orientations that pre-date the politicisation of COVID-19 vaccines. Indeed, vaccination identities are more strongly related to political orientations than the decision to get vaccinated itself. Importantly, vaccination identities help us understand downstream attitudes, preferences, and behaviours related to the pandemic, even when controlling for other important predictors such as vaccination status and partisanship for anti-vaccine parties. We discuss the implications and generalizability of our findings beyond the context of the pandemic.
DOI: 10.6084/m9.figshare.25780089.v1
title: Divided by the jab: affective polarisation based on COVID vaccination status

description: Group-based affective polarisation can emerge around new issues that divide citizens. The public response to vaccines against COVID-19 provided a clear example of a new basis for group divides. Despite scientific consensus regarding the dangers of SARS-CoV-2 as well as the safety and effectiveness of available vaccinations, the public response to the COVID-19 pandemic was strongly politicised during the height of the health crisis. Positive social identities and negative out-group stereotyping developed around support or opposition to the vaccines. Panel survey data from Austria shows that vaccination identities are clearly identifiable and are related to extensive trait-based stereotyping of in- and out-group members. Moreover, we show that vaccination identities are linked to political identities and orientations that pre-date the politicisation of COVID-19 vaccines. Indeed, vaccination identities are more strongly related to political orientations than the decision to get vaccinated itself. Importantly, vaccination identities help us understand downstream attitudes, preferences, and behaviours related to the pandemic, even when controlling for other important predictors such as vaccination status and partisanship for anti-vaccine parties. We discuss the implications and generalizability of our findings beyond the context of the pandemic.
DOI: 10.6084/m9.figshare.26830429.v1
title: Is there a rural-urban political divide in Britain?

description: A rural-urban political divide, characterized by rural mistrust in politics, dissatisfaction with democracy, and support for authoritarian-populist leaders and parties, has been identified in many Western democracies. Yet there has been little investigation of the extent to which British public opinion is divided in this fashion. Using British Election Study data from 2016 and 2019 that combines large samples with finely-grained geographic identifiers, this paper investigates the possible presence and extent of a rural-urban divide in British political attitudes and values. We find that while rural Britons are more conservative on economic issues, and more supportive of the Conservative party than urbanites, the two groups have comparable levels of democratic satisfaction, political trust, and authoritarianism. As such, unlike in other Western democracies, we do not find any evidence that rural Britons are more resentful, dissatisfied, or “left-behind” compared to their urban counterparts.
DOI: 10.6084/m9.figshare.25764903.v1
title: “Don’t worry, be happy (and the vote out the incumbent): economic anxiety and incumbent support”

description: In recent years, there has been a substantial upsurge in the cost of living and income inequality across established democracies. These shifts, intensified by recent public health crises and growing political instability, have subjected voters to an extraordinary mix of social, political, and economic uncertainty. Despite widespread doubt about the future, a consistent finding in the economic voting literature highlights that voters’ evaluation of the past economy strongly influences their decision to either reward or penalize incumbents. Additionally, these studies find that voters’ forward-looking evaluations of personal economic conditions and general economic expectations often yield weak or negligible effects. These patterns motivate an important empirical question – why do future-oriented economic evaluations fall short in yielding a more substantial effect on incumbent support amid considerable personal struggle and uncertainty about economic conditions ahead? Grounded in appraisal theories of emotion, our study suggests that these consistent results may stem from existing measures inadequately capturing the multi-dimensional and affective nature of voters’ future economic concerns. Using data from the Canadian province of Ontario, we explore the extent of voters’ economic anxiety, identify the factors influencing these sentiments, and show that economic anxiety weakens support for incumbents in provincial and municipal elections.
DOI: 10.6084/m9.figshare.25770997
title: The determinants of Trump's defeat in 2020: what if the COVID-19 pandemic did not matter?

description: While the COVID-19 pandemic significantly impacted the lives of many people worldwide, it is debated whether it led to the defeat of incumbent Donald Trump in the 2020 American presidential election. We argue that the COVID-19 pandemic had a significantly negative impact on Trump’s support due to his conflicting and populist rhetoric, which culminated in contradictory behavior at a time when Americans sought a consistent leader to “rally round the flag.” We use both waves of the ANES 2020 Survey to determine what support for Trump would have looked like if the COVID-19 pandemic had lower influence in citizens’ electoral decision-making compared to real world conditions using regressions and a counterfactual strategy. Our findings suggest that Trump’s electoral defeat depended on multiple factors, with aggregate-level analyzes suggesting that Trump would have received more support had the management of the health crisis mattered less in voting decisions.
DOI: 10.6084/m9.figshare.25770997.v2
title: The determinants of Trump's defeat in 2020: what if the COVID-19 pandemic did not matter?

description: While the COVID-19 pandemic significantly impacted the lives of many people worldwide, it is debated whether it led to the defeat of incumbent Donald Trump in the 2020 American presidential election. We argue that the COVID-19 pandemic had a significantly negative impact on Trump’s support due to his conflicting and populist rhetoric, which culminated in contradictory behavior at a time when Americans sought a consistent leader to “rally round the flag.” We use both waves of the ANES 2020 Survey to determine what support for Trump would have looked like if the COVID-19 pandemic had lower influence in citizens’ electoral decision-making compared to real world conditions using regressions and a counterfactual strategy. Our findings suggest that Trump’s electoral defeat depended on multiple factors, with aggregate-level analyzes suggesting that Trump would have received more support had the management of the health crisis mattered less in voting decisions.
DOI: 10.15468/dl.b7dffm
title: Occurrence Download

description: A dataset containing 36053 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "DatasetKey is EOD – eBird Observation Dataset",
 "Month is June",
 "StateProvince is New Brunswick",
 "Year 2023-2023"
 ]
}

 The dataset includes 36053 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039440-251025141854904/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.25770997.v1
title: The determinants of trump’s defeat: what if the COVID-19 pandemic did not matter?

description: While the COVID-19 pandemic significantly impacted the lives of many people worldwide, it is debated whether it led to the defeat of incumbent Donald Trump in the 2020 American presidential election. We argue that the COVID-19 pandemic had a significantly negative impact on Trump’s support due to his conflicting and populist rhetoric, which culminated in contradictory behavior at a time when Americans sought a consistent leader to “rally round the flag.” We use both waves of the ANES 2020 Survey to determine what support for Trump would have looked like if the COVID-19 pandemic had lower influence in citizens’ electoral decision-making compared to real world conditions using regressions and a counterfactual strategy. Our findings suggest that Trump’s electoral defeat depended on multiple factors, with aggregate-level analyzes suggesting that Trump would have received more support had the management of the health crisis mattered less in voting decisions.
DOI: 10.6084/m9.figshare.25604478
title: Using survey experiments for construct validation: “strong leader” questions and support for authoritarian leadership

description: Survey experiments are an increasingly popular tool for causal inference in political science. We argue that an under-utilized application for survey experiments is nomological/construct validation, where researchers evaluate whether indicators really measure systematized concepts. We demonstrate this approach by examining respondents’ preferences for autocratic leadership by asking whether those that say they want strong leaders who bend the rules or ignore parliament and elections really want undemocratic leadership in the context of an experimental task. While approaches that measure construct validity with observational data support the validity of these measures, our experimental data tell a different story. We find that respondents – even those who indicate a preference for “strong” leaders in survey questions – are less likely to choose hypothetical candidates who ignore democratic institutions and refuse to compromise with other parties. Our study contributes to the literatures on survey measurement and support for democracy and authoritarian values in established democracies.
DOI: 10.6084/m9.figshare.25604478.v1
title: Using survey experiments for construct validation: “strong leader” questions and support for authoritarian leadership

description: Survey experiments are an increasingly popular tool for causal inference in political science. We argue that an under-utilized application for survey experiments is nomological/construct validation, where researchers evaluate whether indicators really measure systematized concepts. We demonstrate this approach by examining respondents’ preferences for autocratic leadership by asking whether those that say they want strong leaders who bend the rules or ignore parliament and elections really want undemocratic leadership in the context of an experimental task. While approaches that measure construct validity with observational data support the validity of these measures, our experimental data tell a different story. We find that respondents – even those who indicate a preference for “strong” leaders in survey questions – are less likely to choose hypothetical candidates who ignore democratic institutions and refuse to compromise with other parties. Our study contributes to the literatures on survey measurement and support for democracy and authoritarian values in established democracies.
DOI: 10.17632/bzsj9r4yzt.1
title: SLR 3D Generalization

description: This is Suplementary data for 3D Generalization
DOI: 10.17632/kt4vbdjxmf
title: Diagnostic Performance of Artificial Intelligence for Dental Caries Detection Across Clinical Imaging Modalities: Dataset for Systematic Review and Meta-analysis

description: This dataset accompanies the systematic review and meta-analysis titled “Artificial Intelligence for Dental Caries Detection Across Clinical Imaging: Diagnostic Performance and Implementation Barriers.” It contains all data extracted, curated, and analyzed during the study, including structured information on study characteristics, imaging modalities, AI model architectures, dataset properties, diagnostic accuracy metrics, and reported clinical implementation barriers.

The dataset was compiled following PRISMA 2020 recommendations and includes only human-derived clinical imaging studies. All variables were extracted independently by two reviewers, cross-validated, and harmonized using standardized coding procedures. For quantitative synthesis, the dataset provides complete 2×2 diagnostic contingency tables (TP, FP, FN, TN) required for sensitivity, specificity, DOR, and HSROC estimations. Studies lacking sufficient diagnostic cell counts are included in a separate sheet for transparency.

Additionally, the dataset contains a comprehensive matrix of the risk of bias assessment performed using an AI-adapted QUADAS-2 tool, as well as a structured corpus of reported implementation barriers. These textual data were used to generate the hierarchical semantic clustering model presented in the article.

The dataset is organized into the following files:

Study_Characteristics.xlsx – General study characteristics, imaging modalities, AI architectures, clinical setting, comparator, dataset features, and reference standard.

DTA_Contingency_Tables.xlsx – TP, FP, FN, TN values used for meta-analysis.

QUADAS2_AI_Risk_of_Bias.xlsx – Domain-level and overall risk-of-bias assessments.

Implementation_Barriers_Corpus.xlsx – Verbatim extracted barrier statements used for semantic clustering.

Search_Strategies.pdf – Complete reproducible search strategies for all databases.

Data_Dictionary.pdf – Variable definitions and coding conventions for reproducibility.

This dataset enables full transparency, reproducibility, and reusability of all analyses performed in the review. It may be used to replicate the meta-analytic models, evaluate diagnostic accuracy trends in AI-based caries detection, or support future evidence syntheses on artificial intelligence in dental imaging.