cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/h0mt5s
title: Scarcity and Sustainability: Moderating the Green Consumption Gap for Organic Eggs in a Developing Market

description: While numerous studies have examined consumers’ purchase intentions for green products, including various organic foods (organic eggs), significant gaps persist in understanding the complex factors that drive actual consumption behavior. Notably, limited empirical work has examined how product availability constraints (e.g., unavailability of organic eggs) influence the translation of green intentions into behaviors, particularly within developing market contexts where supply chain challenges are prevalent. We address these gaps by integrating TPB, Value-Basis Theory, and Intention-Behavior Gap into a single research framework. Through this framework, we examine the direct effects of environmental knowledge and environmental concern on both the intention to consume and the actual consumption of organic eggs. To bridge this gap, we propose an integrative framework that synthesizes the Theory of Planned Behavior, Value-Basis Theory, and the Intention–Behavior Gap. Specifically, we examine how environmental knowledge and environmental concern influence both the intention to purchase and consume organic milk/organic eggs and its actual consumption, while also testing intention as a mediating variable and unavailability of these organic products as a potential moderating factor. Using data from a convenience sample of 717 Haitian consumers, the findings reveal that both environmental knowledge and environmental concern are significant predictors of intention and actual consumption of organic eggs. Intention also emerges as a strong mediator. However, the unavailability of organic eggs does not moderate the proposed relationships. These results offer valuable insights for both theory and practice, particularly in advancing understanding of sustainable consumer behavior in emerging market contexts.
DOI: 10.15468/dl.gdxvja
title: Occurrence Download

description: A dataset containing 342698 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is FLOTROP, a massive contribution to plant diversity data for open ecosystems in Tropical Africa."
 ]
}

 The dataset includes 342698 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007336-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/p66th8zbhj
title: CULTURAL LITERACY AND PHYSICS LITERACY IN RUPAT ISLAND

description: This research examines physics ideas in the Jong boat cultural event and how cultural literacy affects them. This research used qualitative (interviews, observations, and literature studies) and quantitative methods (surveys). Cultural literacy and physics concept literacy were measured using quantitative descriptive and inferential techniques, whereas Jong boat physics ideas were analyzed qualitatively. The study population consisted of 6 schools in Rupat Island, identified 6 Jong boat cultural festival-related physics concepts: Newton's Law, Waves, Equilibrium, Rigid Bodies, Pressure, Static Fluid, and Dynamic Fluid. This shows that mainland students' physics literacy is very low and coastal kids' low. Inferential analysis shows that school location substantially impacts students' cultural and physics concept literacy (p &lt; 0.001 and 0.000, respectively). Cultural literacy contributed 0.266 to physics literacy, indicating a positive association. School location affects students' cultural and cultural literacy have a relationship with students' physics concept literacy skills.
DOI: 10.17632/p66th8zbhj.1
title: CULTURAL LITERACY AND PHYSICS LITERACY IN RUPAT ISLAND

description: This research examines physics ideas in the Jong boat cultural event and how cultural literacy affects them. This research used qualitative (interviews, observations, and literature studies) and quantitative methods (surveys). Cultural literacy and physics concept literacy were measured using quantitative descriptive and inferential techniques, whereas Jong boat physics ideas were analyzed qualitatively. The study population consisted of 6 schools in Rupat Island, identified 6 Jong boat cultural festival-related physics concepts: Newton's Law, Waves, Equilibrium, Rigid Bodies, Pressure, Static Fluid, and Dynamic Fluid. This shows that mainland students' physics literacy is very low and coastal kids' low. Inferential analysis shows that school location substantially impacts students' cultural and physics concept literacy (p &lt; 0.001 and 0.000, respectively). Cultural literacy contributed 0.266 to physics literacy, indicating a positive association. School location affects students' cultural and cultural literacy have a relationship with students' physics concept literacy skills.
DOI: 10.15468/dl.tqvdhw
title: Occurrence Download

description: A dataset containing 2448 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Chinese Taipei, Hong Kong, Macao)",
 "TaxonKey is Dioscorea nipponica"
 ]
}

 The dataset includes 2448 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012451-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4m2mr8
title: Occurrence Download

description: A dataset containing 528 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "Country is Kenya",
 "TaxonKey is Aedes aegypti"
 ]
}

 The dataset includes 528 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012452-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1373856.10fu
title: SH1373856.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1373858.10fu
title: SH1373858.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1373861.10fu
title: SH1373861.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.6084/m9.figshare.31054969
title: The Mediating and Moderating Role of Perceived Social Support in the Relationship Between Psychological Adjustment and Coach–Athlete Relationship Quality

description: The coach–athlete relationship (CAR) is widely recognized as a cornerstone of athletes’ development, performance, and psychological well-being. However, the mechanisms through which athletes’ psychological adjustment influences perceived relationship quality remain insufficiently understood. This study examined the dual role of perceived social support—as both a mediator and moderator—in the association between psychological adjustment and CAR quality among university athletes in Türkiye. A total of 161 student-athletes completed validated measures of psychological adjustment, perceived social support, and CAR quality. Harman’s single-factor test indicated no substantial common-method bias. Correlational analyses showed that psychological adjustment was negatively associated with perceived social support and CAR quality, whereas perceived social support was positively associated with CAR quality. Mediation analyses revealed that perceived social support partially explained the effect of psychological adjustment on CAR quality, underscoring its role as a psychological and relational mechanism. Moderation analyses further demonstrated that perceived social support buffered the adverse impact of low psychological adjustment on CAR quality, with effects strongest at low support and non-significant at high support. These findings emphasize the pivotal role of social support as both a protective and facilitative factor, offering practical implications for coaches, sport psychologists, and institutions seeking to promote athlete adjustment and relational outcomes.
DOI: 10.6084/m9.figshare.31054969.v1
title: The Mediating and Moderating Role of Perceived Social Support in the Relationship Between Psychological Adjustment and Coach–Athlete Relationship Quality

description: The coach–athlete relationship (CAR) is widely recognized as a cornerstone of athletes’ development, performance, and psychological well-being. However, the mechanisms through which athletes’ psychological adjustment influences perceived relationship quality remain insufficiently understood. This study examined the dual role of perceived social support—as both a mediator and moderator—in the association between psychological adjustment and CAR quality among university athletes in Türkiye. A total of 161 student-athletes completed validated measures of psychological adjustment, perceived social support, and CAR quality. Harman’s single-factor test indicated no substantial common-method bias. Correlational analyses showed that psychological adjustment was negatively associated with perceived social support and CAR quality, whereas perceived social support was positively associated with CAR quality. Mediation analyses revealed that perceived social support partially explained the effect of psychological adjustment on CAR quality, underscoring its role as a psychological and relational mechanism. Moderation analyses further demonstrated that perceived social support buffered the adverse impact of low psychological adjustment on CAR quality, with effects strongest at low support and non-significant at high support. These findings emphasize the pivotal role of social support as both a protective and facilitative factor, offering practical implications for coaches, sport psychologists, and institutions seeking to promote athlete adjustment and relational outcomes.
DOI: 10.15156/bio/sh1373862.10fu
title: SH1373862.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1373863.10fu
title: SH1373863.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1373864.10fu
title: SH1373864.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1373865.10fu
title: SH1373865.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1373866.10fu
title: SH1373866.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1373874.10fu
title: SH1373874.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1373876.10fu
title: SH1373876.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.rsza4y
title: Occurrence Download

description: A dataset containing 89 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pandeleteius plumosiventris Howden, 1959"
 ]
}

 The dataset includes 89 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0272064-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.798yst
title: Occurrence Download

description: A dataset containing 1775 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Erica mammosa L.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1775 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067203-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dc6h4u
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhododendron pubescens Balf.fil. & Forrest",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 16 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0267847-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jyw4np
title: Occurrence Download

description: A dataset containing 156394 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Myiozetetes cayanensis (Linnaeus, 1766)"
 ]
}

 The dataset includes 156394 records from 360 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0276185-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5hkmqe
title: Occurrence Download

description: A dataset containing 580680 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Testudines",
 "DecimalLongitude is greater than or equal to -179",
 "DecimalLongitude is less than or equal to -12",
 "DecimalLatitude is greater than or equal to -56",
 "DecimalLatitude is less than or equal to 84"
 ]
}

 The dataset includes 580680 records from 855 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0267776-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4xz6nm
title: Occurrence Download

description: A dataset containing 89 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Euterpe oleracea Mart."
 ]
}

 The dataset includes 89 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0276172-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.