cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29040355.v1
title: Read-across-driven binary classification for the developmental and reproductive toxicity of organic compounds tested according to the OECD test guidelines 421/422

description: Developmental and reproductive toxicity (DART) refers to the adverse effects on sexual function, fertility, and the development of offspring resulting from exposure to toxic substances or chemicals, which may occur at various stages of the reproductive cycle. In response to the increasing volume of chemicals, regulatory bodies advocate for implementing various new approach methodologies (NAMs) as alternatives to animal testing, enabling rapid assessments of the toxic potential of numerous chemical substances. In this study, in silico methodologies were utilized to assess the DART properties of various industrial chemicals. We employed a Read-Across (RA)-based binary classification approach to evaluate the DART potential of these chemicals. The data for the binary classification have been compiled from two distinct sources: eChemPortal (https://www.echemportal.org/echemportal/) and the National Institute of Health Sciences (NIHS) databases. The information gathered from these sources encompasses two types of toxicity data: No Observed Adverse Effect Level (NOAEL) and Low Observed Adverse Effect Level (LOAEL) tested as per the Organisation for Economic Co-operation and Development Test Guidelines 421 and 422, adopting the principles of Good Laboratory Practice (GLP). The data were utilized separately for safety assessment through a binary classification-based read-across prediction, demonstrating commendable classification capabilities for new chemicals (Accuracy<sub>test</sub> ~0.700).
DOI: 10.21233/gkdg-ne75
title: North 2 testate amoebae surface sample dataset

description: Raw data for the North 2 testate amoebae surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.5281/zenodo.11151159
title: PROBOSCIS_DS3

description: PROBOSCIS_DS3 aims at collecting data related to the multi-functional materials under development in PROBOSCIdean Sensitive soft robot for versatile gripping project
DOI: 10.5281/zenodo.11151158
title: PROBOSCIS_DS3

description: PROBOSCIS_DS3 aims at collecting data related to the multi-functional materials under development in PROBOSCIdean Sensitive soft robot for versatile gripping project
DOI: 10.5281/zenodo.15389504
title: PROBOSCIS_DS3

description: PROBOSCIS_DS3 aims at collecting data related to the multi-functional materials under development in PROBOSCIdean Sensitive soft robot for versatile gripping project
DOI: 10.15468/dl.3nbwfx
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acacia xanthophloea Benth.",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Occurrence evidence)"
 ]
}

 The dataset includes 8 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026592-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/ytas-gf54
title: Grand Calumet Chan ostracode surface sample dataset

description: Raw data for the Grand Calumet Chan ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.tc487t
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Madagascar",
 "Geometry POLYGON((49.92837 -16.06551,49.29888 -16.56368,49.04325 -18.1827,48.63339 -19.44941,47.63006 -21.86586,46.90197 -23.01274,46.67143 -24.83594,51.24187 -24.74646,49.92837 -16.06551))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ravenala madagascariensis Sonn.",
 "Year 2021-2025"
 ]
}

 The dataset includes 10 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026594-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aw4pb6
title: Occurrence Download

description: A dataset containing 13571 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Morchella esculenta (L.) Pers."
 ]
}

 The dataset includes 13571 records from 327 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026596-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/n1jm-n869
title: Toconce pollen dataset

description: Raw data for the Toconce pollen dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/d6k0-zx68
title: Mauntschas testate amoebae surface sample dataset

description: Raw data for the Mauntschas testate amoebae surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.hz8gce
title: Occurrence Download

description: A dataset listing the 2566 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-75.07008 1.99527,-75.4482 1.78439,-75.65231 1.65158,-75.92633 1.45585,-76.04408 1.01664,-75.3159 0.60849,-74.28161 1.12331,-74.52279 1.81439,-75.07008 1.99527))",
 "OccurrenceStatus is Present",
 "TaxonKey is Magnoliopsida"
 ]
}

 The dataset's 2566 records were derived from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026586-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/zd47-af67
title: Rezé pollen dataset

description: Raw data for the Rezé pollen dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/p7e9-mt23
title: LDDsite631 ostracode surface sample dataset

description: Raw data for the LDDsite631 ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/1hvf-n205
title: Tangra Yumco ostracode surface sample dataset

description: Raw data for the Tangra Yumco ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/s1n5-9e36
title: Busey Woods Pond water chemistry dataset

description: Raw data for the Busey Woods Pond water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.6084/m9.figshare.29041514
title: Mycobacterium bovis AF2122/97 genome index

description: Mycobacterium bovis AF2122/97 genome index
DOI: 10.21233/9qv6-yt79
title: Jinbei testate amoebae surface sample dataset

description: Raw data for the Jinbei testate amoebae surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/xrg9-5221
title: Gower Lake water chemistry dataset

description: Raw data for the Gower Lake water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.6084/m9.figshare.28005269
title: Designing for mental health in higher education: a collaborative approach to digital interventions

description: Mental health concerns significantly impact one-third of university students, with digital tools increasingly recognised as potential support for prevention and treatment. However, few studies adequately address the transition from research to practical application in mental health-related interventions, integrating multidisciplinary design methodologies and understanding students' sociocultural contexts within real-world healthcare environments. Here we present the outcomes of a process of co-design and validation of a digital mental health intervention in a university setting. We draw on findings from (1) design cycles and (2) validation workshops of a digital intervention to identify preferences of engagement and ethical responsibility for real-world applicability. Our findings emphasise the importance of involving end-users and clinicians throughout the process to improve existing support systems for students' well-being, challenge stigma, and promote context-sensitive mental health care in academia. This approach highlights the importance of designing digital mental health interventions that are both ethical and inclusive, thereby enhancing individual, community, and institutional resilience. We build on prior research by proposing design opportunities to enhance receptivity to digital interventions in university settings, contributing to responsible innovation in this field.
DOI: 10.6084/m9.figshare.28005269.v1
title: Designing for mental health in higher education: a collaborative approach to digital interventions

description: Mental health concerns significantly impact one-third of university students, with digital tools increasingly recognised as potential support for prevention and treatment. However, few studies adequately address the transition from research to practical application in mental health-related interventions, integrating multidisciplinary design methodologies and understanding students' sociocultural contexts within real-world healthcare environments. Here we present the outcomes of a process of co-design and validation of a digital mental health intervention in a university setting. We draw on findings from (1) design cycles and (2) validation workshops of a digital intervention to identify preferences of engagement and ethical responsibility for real-world applicability. Our findings emphasise the importance of involving end-users and clinicians throughout the process to improve existing support systems for students' well-being, challenge stigma, and promote context-sensitive mental health care in academia. This approach highlights the importance of designing digital mental health interventions that are both ethical and inclusive, thereby enhancing individual, community, and institutional resilience. We build on prior research by proposing design opportunities to enhance receptivity to digital interventions in university settings, contributing to responsible innovation in this field.
DOI: 10.15468/dl.2fsdyk
title: Occurrence Download

description: A dataset containing 14587 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arachis hypogaea L.",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Occurrence evidence)"
 ]
}

 The dataset includes 14587 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026597-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u3nsga
title: Occurrence Download

description: A dataset containing 3213 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Atelopus ignescens (Cornalia, 1849)"
 ]
}

 The dataset includes 3213 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026598-250426092105405/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.24968021
title: Challenging others when posting misinformation: a UK vs. Arab cross-cultural comparison on the perception of negative consequences and injunctive norms

description: This study investigates the factors influencing the willingness to challenge misinformation on social media across two cultural contexts, the United Kingdom (UK) and Arab countries. A total of 462 participants completed an online survey (250 UK, 212 Arabs). The analysis revealed that three types of negative consequences (relationship cost, negative impact on the person being challenged, futility) and also injunctive norms influence the willingness to challenge misinformation. Cross-cultural comparisons using t-tests showed significant differences between the UK and the Arab countries in all factors except the injunctive norms. Multiple regression analyses identified differences between the UK and Arab participants concerning which of the factors predicted the willingness to challenge misinformation. The findings suggest that participants’ self-reported injunctive norms play a significant role in shaping their willingness to engage in corrective actions across both cultural contexts. Moreover, UK participants’ reporting of how others perceive negative impact on the person being challenged and injunctive norms were significant predictors, while for the Arabs, only the perceived relationship costs emerged as a significant predictor. This study has important implications for policymakers and social media platforms in developing culturally sensitive interventions encouraging users to correct misinformation.
DOI: 10.6084/m9.figshare.24968021.v1
title: Challenging others when posting misinformation: a UK vs. Arab cross-cultural comparison on the perception of negative consequences and injunctive norms

description: This study investigates the factors influencing the willingness to challenge misinformation on social media across two cultural contexts, the United Kingdom (UK) and Arab countries. A total of 462 participants completed an online survey (250 UK, 212 Arabs). The analysis revealed that three types of negative consequences (relationship cost, negative impact on the person being challenged, futility) and also injunctive norms influence the willingness to challenge misinformation. Cross-cultural comparisons using t-tests showed significant differences between the UK and the Arab countries in all factors except the injunctive norms. Multiple regression analyses identified differences between the UK and Arab participants concerning which of the factors predicted the willingness to challenge misinformation. The findings suggest that participants’ self-reported injunctive norms play a significant role in shaping their willingness to engage in corrective actions across both cultural contexts. Moreover, UK participants’ reporting of how others perceive negative impact on the person being challenged and injunctive norms were significant predictors, while for the Arabs, only the perceived relationship costs emerged as a significant predictor. This study has important implications for policymakers and social media platforms in developing culturally sensitive interventions encouraging users to correct misinformation.
DOI: 10.21233/ge5e-3p15
title: LDDsite4563 water chemistry dataset

description: Raw data for the LDDsite4563 water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.6084/m9.figshare.27136251
title: Digital generation: the association between daily smartphone app use and well-being

description: Smartphones are omnipresent and serve as a tool for various purposes. In Switzerland, more than 90% of the population owns a smartphone and uses it on average around 2.0 to 5 h daily. Smartphone app use is linked with both higher and lower levels of well-being. However, it remains unclear whether smartphone app use is the antecedent or the consequence of well-being. Based on the stimulation (online communication increases well-being) and the displacement (online communication decreases well-being) hypotheses, this study explores how daily smartphone app use and well-being are associated over time. A total of <i>N</i>  =  130 employees (<i>M</i> = 35.61; <i>SD</i> = 10.62) participated in a three-week intensive longitudinal study. Daily minutes of different types of smartphone app use (e.g. email apps and chat apps) were tracked by a mobile application. Furthermore, daily self-reports of positive and negative affect were assessed in a morning and end-of day diary. Positive morning affect was negatively associated with the use of email apps. Furthermore, a negative between-person relationship of chat app use with end-of day positive affect was observed. The results are in favour of the displacement hypothesis. Future studies should investigate causal relationships between specific forms of smartphone usage and the user’s well-being.
DOI: 10.6084/m9.figshare.27136251.v1
title: Digital generation: the association between daily smartphone app use and well-being

description: Smartphones are omnipresent and serve as a tool for various purposes. In Switzerland, more than 90% of the population owns a smartphone and uses it on average around 2.0 to 5 h daily. Smartphone app use is linked with both higher and lower levels of well-being. However, it remains unclear whether smartphone app use is the antecedent or the consequence of well-being. Based on the stimulation (online communication increases well-being) and the displacement (online communication decreases well-being) hypotheses, this study explores how daily smartphone app use and well-being are associated over time. A total of <i>N</i>  =  130 employees (<i>M</i> = 35.61; <i>SD</i> = 10.62) participated in a three-week intensive longitudinal study. Daily minutes of different types of smartphone app use (e.g. email apps and chat apps) were tracked by a mobile application. Furthermore, daily self-reports of positive and negative affect were assessed in a morning and end-of day diary. Positive morning affect was negatively associated with the use of email apps. Furthermore, a negative between-person relationship of chat app use with end-of day positive affect was observed. The results are in favour of the displacement hypothesis. Future studies should investigate causal relationships between specific forms of smartphone usage and the user’s well-being.
DOI: 10.6084/m9.figshare.25487999
title: A conversational agent framework for mental health screening: design, implementation, and usability

description: While chatbots show promise for large-scale mental health screening, few offer interactive, free-text conversations, limiting their appeal for self-administered screening and impeding the timely detection of mental health issues. This study introduces an AI-based chatbot that allows users to respond to validated screening surveys for mental disorders (PHQ-9, GAD-7, and PCL-5) in a natural, free-text conversation manner with real-time feedback. The study's objectives include evaluating the chatbot's usability and reducing the frequency of response clarifications while accurately interpreting users’ responses. The system was assessed running in hybrid NLU mode (Phase 2; <i>N</i> = 587; Mage = 21.56, SD = 5.56, 67.8% women) after being trained on data collected while running in rule-based mode (Phase 1; <i>N</i> = 274; Mage = 21.86, SD = 5.50). During user-chatbot interactions, the chatbot required clarification only 4.64% of the time. Using the AI NLU model, the chatbot could understand user responses in 85.65% of cases and interpret free-text similarly to human annotators. In terms of usability, the chatbot in hybrid NLU mode was perceived as more engaging, friendly, and easier to use than in the rule-based NLU mode, which may be indirectly attributed to the enhanced autonomy provided by the AI NLU model.
DOI: 10.6084/m9.figshare.24591290
title: Predicting online participation and adoption of autism unproven interventions: a case study of dietary interventions

description: Family caregivers of autistic children are susceptible to unconfirmed fads and false claims regarding to the efficacy of unproven interventions. This study aims to predict family caregivers’ participation and adoption of unproven interventions in online communities. Based on the Diffusion of Innovations theory, we first divided the family caregivers’ adoption process into five stages: awareness, persuasion, decision, implementation, and confirmation. Social network analysis and natural language processing methods were subsequently utilised to characterise personal, environmental, and behavioural factors for predicting the formation of last three stage. The results indicated promising evidence for the application of machine learning algorithms in predicting family caregivers’ decision (AUC = 0.823), implementation (AUC = 0.887), and confirmation (AUC = 0.921). Furthermore, the results showed that factors such as social interaction, social persuasion, and modelling significantly contributed to family caregivers’ online community participation and facilitated the adoption process of unproven interventions. Family caregivers with stronger negative emotions expressed were more likely to adopt unproven interventions and recommend these interventions to other community members, thereby accelerating the diffusion of these interventions.