cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25397/eur.23276477
title: Dataset longitudinal study t2; project “Online academic education because of the COVID-19 crisis: For whom does(n’t) it work and what factors can explain this?”

description: This dataset is part of a research project investigating university students’ experiences during emergency remote education due to the COVID-19 pandemic. A longitudinal cohort study among university students from the Netherlands was conducted during the academic year 2020/2021 with three points of measurement, i.e., t1 = November/December 2020, t2 = March 2021, and t3 = June/July 2021. Data were collected through online surveys programmed in Qualtrics. The dataset includes data from 892 students who completed the survey at <strong>t2</strong>. More information about the research project, the dataset, the measured concepts/variables, and all included items can be found here: https://doi.org/10.25397/eur.23276108
DOI: 10.25397/eur.23276477.v1
title: Dataset longitudinal study t2; project “Online academic education because of the COVID-19 crisis: For whom does(n’t) it work and what factors can explain this?”

description: This dataset is part of a research project investigating university students’ experiences during emergency remote education due to the COVID-19 pandemic. A longitudinal cohort study among university students from the Netherlands was conducted during the academic year 2020/2021 with three points of measurement, i.e., t1 = November/December 2020, t2 = March 2021, and t3 = June/July 2021. Data were collected through online surveys programmed in Qualtrics. The dataset includes data from 892 students who completed the survey at <strong>t2</strong>. More information about the research project, the dataset, the measured concepts/variables, and all included items can be found here: https://doi.org/10.25397/eur.23276108
DOI: 10.15468/dl.r22n3u
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Formica planipilis",
 "Country is Canada",
 {
 "not" : {
 "InstitutionCode" : [
 "is one of (iNaturalist)"
 ]
 }
 }
 ]
}

 The dataset includes 20 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054918-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25397/eur.23276486
title: Dataset longitudinal study t3; project “Online academic education because of the COVID-19 crisis: For whom does(n’t) it work and what factors can explain this?”

description: This dataset is part of a research project investigating university students’ experiences during emergency remote education due to the COVID-19 pandemic. A longitudinal cohort study among university students from the Netherlands was conducted during the academic year 2020/2021 with three points of measurement, i.e., t1 = November/December 2020, t2 = March 2021, and t3 = June/July 2021. Data were collected through online surveys programmed in Qualtrics. The dataset includes data from 682 students who completed the survey at <strong>t3</strong>. More information about the research project, the dataset, the measured concepts/variables, and all included items can be found here: https://doi.org/10.25397/eur.23276108
DOI: 10.25397/eur.23276486.v1
title: Dataset longitudinal study t3; project “Online academic education because of the COVID-19 crisis: For whom does(n’t) it work and what factors can explain this?”

description: This dataset is part of a research project investigating university students’ experiences during emergency remote education due to the COVID-19 pandemic. A longitudinal cohort study among university students from the Netherlands was conducted during the academic year 2020/2021 with three points of measurement, i.e., t1 = November/December 2020, t2 = March 2021, and t3 = June/July 2021. Data were collected through online surveys programmed in Qualtrics. The dataset includes data from 682 students who completed the survey at <strong>t3</strong>. More information about the research project, the dataset, the measured concepts/variables, and all included items can be found here: https://doi.org/10.25397/eur.23276108
DOI: 10.15468/dl.smww6q
title: Occurrence Download

description: A dataset containing 61 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Muntiacus reevesi",
 "HasCoordinate is true",
 "Country is Netherlands"
 ]
}

 The dataset includes 61 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054916-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25397/eur.23276516
title: Dataset longitudinal study merged t1+t2; project “Online academic education because of the COVID-19 crisis: For whom does(n’t) it work and what factors can explain this?”

description: This dataset is part of a research project investigating university students’ experiences during emergency remote education due to the COVID-19 pandemic. A longitudinal cohort study among university students from the Netherlands was conducted during the academic year 2020/2021 with three points of measurement, i.e., t1 = November/December 2020, t2 = March 2021, and t3 = June/July 2021. Data were collected through online surveys programmed in Qualtrics. The dataset includes data from 890 students who completed the survey at <strong>t1 and t2</strong>. More information about the research project, the dataset, the measured concepts/variables, and all included items can be found here: https://doi.org/10.25397/eur.23276108
DOI: 10.25397/eur.23276516.v1
title: Dataset longitudinal study merged t1+t2; project “Online academic education because of the COVID-19 crisis: For whom does(n’t) it work and what factors can explain this?”

description: This dataset is part of a research project investigating university students’ experiences during emergency remote education due to the COVID-19 pandemic. A longitudinal cohort study among university students from the Netherlands was conducted during the academic year 2020/2021 with three points of measurement, i.e., t1 = November/December 2020, t2 = March 2021, and t3 = June/July 2021. Data were collected through online surveys programmed in Qualtrics. The dataset includes data from 890 students who completed the survey at <strong>t1 and t2</strong>. More information about the research project, the dataset, the measured concepts/variables, and all included items can be found here: https://doi.org/10.25397/eur.23276108
DOI: 10.15468/dl.n6ejpw
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Muntiacus reevesi",
 "HasCoordinate is true",
 "Country is Ireland"
 ]
}

 The dataset includes 8 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054915-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25397/eur.23276609
title: Dataset longitudinal study merged t1+t2+t3; project “Online academic education because of the COVID-19 crisis: For whom does(n’t) it work and what factors can explain this?”

description: This dataset is part of a research project investigating university students’ experiences during emergency remote education due to the COVID-19 pandemic. A longitudinal cohort study among university students from the Netherlands was conducted during the academic year 2020/2021 with three points of measurement, i.e., t1 = November/December 2020, t2 = March 2021, and t3 = June/July 2021. Data were collected through online surveys programmed in Qualtrics. The dataset includes data from 680 students who completed the survey at <strong>all three measurement points</strong>. More information about the research project, the dataset, the measured concepts/variables, and all included items can be found here: https://doi.org/10.25397/eur.23276108
DOI: 10.25397/eur.23276609.v1
title: Dataset longitudinal study merged t1+t2+t3; project “Online academic education because of the COVID-19 crisis: For whom does(n’t) it work and what factors can explain this?”

description: This dataset is part of a research project investigating university students’ experiences during emergency remote education due to the COVID-19 pandemic. A longitudinal cohort study among university students from the Netherlands was conducted during the academic year 2020/2021 with three points of measurement, i.e., t1 = November/December 2020, t2 = March 2021, and t3 = June/July 2021. Data were collected through online surveys programmed in Qualtrics. The dataset includes data from 680 students who completed the survey at <strong>all three measurement points</strong>. More information about the research project, the dataset, the measured concepts/variables, and all included items can be found here: https://doi.org/10.25397/eur.23276108
DOI: 10.25397/eur.23276627
title: Dataset cross-sectional study; project “Online academic education because of the COVID-19 crisis: For whom does(n’t) it work and what factors can explain this?”

description: This dataset is part of a research project investigating university students’ experiences during emergency remote education due to the COVID-19 pandemic. A cross-sectional study among undergraduate medical students from the Netherlands was conducted in April 2021. Data were collected through an online survey programmed in Qualtrics. The dataset includes data from 372 students. More information about the research project, the dataset, the measured concepts/variables, and all included items can be found here: https://doi.org/10.25397/eur.23276108
DOI: 10.25397/eur.23276627.v1
title: Dataset cross-sectional study; project “Online academic education because of the COVID-19 crisis: For whom does(n’t) it work and what factors can explain this?”

description: This dataset is part of a research project investigating university students’ experiences during emergency remote education due to the COVID-19 pandemic. A cross-sectional study among undergraduate medical students from the Netherlands was conducted in April 2021. Data were collected through an online survey programmed in Qualtrics. The dataset includes data from 372 students. More information about the research project, the dataset, the measured concepts/variables, and all included items can be found here: https://doi.org/10.25397/eur.23276108
DOI: 10.25397/eur.23298794
title: A brief history of China's livestreaming industry (appendix)

description: This item contains a list of different policy and industry documents that were used in Ye (2023). A Brief History of China’s Livestreaming Industry: Evolution Along with State-Business Interactions. Journal of Digital Media & Policy. In contemporary China, livestreaming is one of the most popular communication technologies, continuously shaping the digital media landscape. In order to trace the evolution of China’s livestreaming industry, this study first situates it in the broader context of China’s digital economy and highlights how state–business interactions influence the development of China’s digital economy. This research then examines the development trajectory of China’s livestreaming industry from 2016 to 2022 by analysing regulatory and business documents. Three key phases for the development of China’s livestreaming industry are identified in the analysis. By doing so, this research reveals the complex and contingent dynamics between state and business in China’s livestreaming industry and how this industry has evolved into a complex and intricate cultural and commercial sector jointly regulated by industrial stakeholders and state regulators.
DOI: 10.15468/dl.8t299r
title: Occurrence Download

description: A dataset containing 73410 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Living Specimen)",
 "Continent is North America",
 "Issue is Coordinate rounded",
 "OccurrenceStatus is Present",
 "TaxonKey is Larrea tridentata",
 "Year 2000-2025"
 ]
}

 The dataset includes 73410 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054883-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25397/eur.23298794.v1
title: A brief history of China's livestreaming industry (appendix)

description: This item contains a list of different policy and industry documents that were used in Ye (2023). A Brief History of China’s Livestreaming Industry: Evolution Along with State-Business Interactions. Journal of Digital Media & Policy. In contemporary China, livestreaming is one of the most popular communication technologies, continuously shaping the digital media landscape. In order to trace the evolution of China’s livestreaming industry, this study first situates it in the broader context of China’s digital economy and highlights how state–business interactions influence the development of China’s digital economy. This research then examines the development trajectory of China’s livestreaming industry from 2016 to 2022 by analysing regulatory and business documents. Three key phases for the development of China’s livestreaming industry are identified in the analysis. By doing so, this research reveals the complex and contingent dynamics between state and business in China’s livestreaming industry and how this industry has evolved into a complex and intricate cultural and commercial sector jointly regulated by industrial stakeholders and state regulators.
DOI: 10.25397/eur.23523690
title: Surviving Together: Social Cohesion and Covid-19 Infections and Mortality Across the World Database

description: This item contains the data for Pacheco-Miranda et al (2022). Surviving Together: Social Cohesion and Covid-19 Infections and Mortality Across the World. Critical Public Health. Details on the data used in the paper can be found in the Metadata file. 
Studies of the determinants of the spread and mortality of COVID-19 indicate that the quality of health care systems and government type and capacity have a negligent role in explaining the variation of infection and death rates between countries. Research therefore suggests a role for societal factors, in particular social capital. But its measures vary widely, sometimes including indicators that refer to politics or governance. We clearly distinguish social cohesion from social capital and argue that the first better captures the societal influence on the pandemic, by its concern with the common good and relationships between (rather than within) social groups. We analyze the role of social cohesion in the spread and mortality of COVID-19 in a large cross-country analysis with a comprehensive index and two sub-indices of social cohesion. Moreover, the underlying indicators enable us to study the pathways through which social cohesion is likely to affect COVID-19 outcomes. Contrary to the recent empirical literature we find robust relationships, in particular for intergroup cohesion. Our findings suggest that more cohesive societies, in particular those with less divisiveness between social groups, may be better equipped to reduce the impact of a pandemic.
DOI: 10.25397/eur.23523690.v1
title: Surviving Together: Social Cohesion and Covid-19 Infections and Mortality Across the World Database

description: This item contains the data for Pacheco-Miranda et al (2022). Surviving Together: Social Cohesion and Covid-19 Infections and Mortality Across the World. Critical Public Health. Details on the data used in the paper can be found in the Metadata file. 
Studies of the determinants of the spread and mortality of COVID-19 indicate that the quality of health care systems and government type and capacity have a negligent role in explaining the variation of infection and death rates between countries. Research therefore suggests a role for societal factors, in particular social capital. But its measures vary widely, sometimes including indicators that refer to politics or governance. We clearly distinguish social cohesion from social capital and argue that the first better captures the societal influence on the pandemic, by its concern with the common good and relationships between (rather than within) social groups. We analyze the role of social cohesion in the spread and mortality of COVID-19 in a large cross-country analysis with a comprehensive index and two sub-indices of social cohesion. Moreover, the underlying indicators enable us to study the pathways through which social cohesion is likely to affect COVID-19 outcomes. Contrary to the recent empirical literature we find robust relationships, in particular for intergroup cohesion. Our findings suggest that more cohesive societies, in particular those with less divisiveness between social groups, may be better equipped to reduce the impact of a pandemic.
DOI: 10.48577/jpl.hutrtt
title: Main Belt Asteroid Mass Estimation from High-Precision Astrometry

description: Main Belt Asteroid Mass Estimation from High-Precision Astrometry
DOI: 10.25397/eur.23523690.v2
title: Surviving Together: Social Cohesion and Covid-19 Infections and Mortality Across the World Database

description: This item contains the data for Pacheco-Miranda et al (2022). Surviving Together: Social Cohesion and Covid-19 Infections and Mortality Across the World. Critical Public Health. Details on the data used in the paper can be found in the Metadata file. 
Studies of the determinants of the spread and mortality of COVID-19 indicate that the quality of health care systems and government type and capacity have a negligent role in explaining the variation of infection and death rates between countries. Research therefore suggests a role for societal factors, in particular social capital. But its measures vary widely, sometimes including indicators that refer to politics or governance. We clearly distinguish social cohesion from social capital and argue that the first better captures the societal influence on the pandemic, by its concern with the common good and relationships between (rather than within) social groups. We analyze the role of social cohesion in the spread and mortality of COVID-19 in a large cross-country analysis with a comprehensive index and two sub-indices of social cohesion. Moreover, the underlying indicators enable us to study the pathways through which social cohesion is likely to affect COVID-19 outcomes. Contrary to the recent empirical literature we find robust relationships, in particular for intergroup cohesion. Our findings suggest that more cohesive societies, in particular those with less divisiveness between social groups, may be better equipped to reduce the impact of a pandemic.
DOI: 10.15468/dl.aj2hn9
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Muntiacus reevesi",
 "HasCoordinate is true",
 "Country is Germany"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054917-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25397/eur.24050028
title: Neural mechanisms underlying trust to friends, community members, and unknown peers in adolescence (Tasks and questions)

description: This item contains the tasks and questions for Sweijen et al (2023). Neural mechanisms underlying trust to friends, community members, and unknown peers in adolescence. Journal of Cognitive Neuroscience. Trust plays an important role during adolescence for developing social relations. While prior developmental studies give us insight into adolescents’ development of differentiation between close (e.g., friends) and unknown (e.g., unknown peers) targets in trust choices, less is known about the development of trust to societal targets (e.g., members of a community organization), and its underlying neural mechanisms. Using a modified version of the Trust Game, our preregistered fMRI study examined the underlying neural mechanisms of trust to close (friend), societal (community member), and unknown others (unknown peer) during adolescence in 106 participants (aged 12-23). Adolescents showed most trust to friends, less trust to community members, and the least trust to unknown peers. Neural results show that target differentiation in adolescents’ trust behavior is associated with activity in social brain regions implicated during mentalizing, reward processing, and cognitive control. Recruitment of the medial prefrontal cortex (mPFC) and orbitofrontal cortex was higher for closer targets (i.e., friend and community member). For the mPFC, this effect was most pronounced during no trust choices. Trust to friends was additionally associated with increased activity in the precuneus and bilateral temporal parietal junction. In contrast, bilateral dorsolateral prefrontal cortex and anterior cingulate cortex were most active for trust to unknown peers. The mPFC showed increased activity with age and consistent relations with individual differences in feeling needed/useful. This publication package contains the tasks and questions used in the study. In this study, a modified version of the Trust Game was used, which we introduced to participants as the ‘Color game’ (in Dutch: ‘kleurenspel’) to avoid influencing participants’ trust choices.
DOI: 10.25397/eur.24050028.v1
title: Neural mechanisms underlying trust to friends, community members, and unknown peers in adolescence - Tasks and questions

description: This is a publication package for the article ‘Neural mechanisms underlying trust to friends, community members, and unknown peers in adolescence’, which can be found here: [link will be added upon acceptance of the paper].Trust plays an important role during adolescence for developing social relations. While prior developmental studies give us insight into adolescents’ development of differentiation between close (e.g., friends) and unknown (e.g., unknown peers) targets in trust choices, less is known about the development of trust to societal targets (e.g., members of a community organization), and its underlying neural mechanisms. Using a modified version of the Trust Game, our preregistered fMRI study examined the underlying neural mechanisms of trust to close (friend), societal (community member), and unknown others (unknown peer) during adolescence in 106 participants (aged 12-23). Adolescents showed most trust to friends, less trust to community members, and the least trust to unknown peers. Neural results show that target differentiation in adolescents’ trust behavior is associated with activity in social brain regions implicated during mentalizing, reward processing, and cognitive control. Recruitment of the medial prefrontal cortex (mPFC) and orbitofrontal cortex was higher for closer targets (i.e., friend and community member). For the mPFC, this effect was most pronounced during no trust choices. Trust to friends was additionally associated with increased activity in the precuneus and bilateral temporal parietal junction. In contrast, bilateral dorsolateral prefrontal cortex and anterior cingulate cortex were most active for trust to unknown peers. The mPFC showed increased activity with age and consistent relations with individual differences in feeling needed/useful.This publication package contains the tasks and questions used in the study. In this study, a modified version of the Trust Game was used, which we introduced to participants as the ‘Color game’ (in Dutch: ‘kleurenspel’) to avoid influencing participants’ trust choices.