cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.jebvbc
title: Occurrence Download

description: A dataset containing 3811 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hydrochoerus hydrochaeris (Linnaeus, 1766)"
 ]
}

 The dataset includes 3811 records from 110 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017104-200127171203522/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.njrlbp
title: Occurrence Download

description: A dataset containing 209 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is CardObs : Observations naturalistes issues de l'outil CardObs-Données naturalistes de Monsieur VILAIN Frederic"
 ]
}

 The dataset includes 209 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024752-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fvmz35
title: Occurrence Download

description: A dataset containing 1055 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Heloderma horridum (Wiegmann, 1829)"
 ]
}

 The dataset includes 1055 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000345-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bvmmt3
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Rhododendron leptocarpum Nutt."
 ]
}

 The dataset includes 44 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074142-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2anhs6
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Grewia suffruticosa K.Schum.",
 "Continent is Africa"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074143-240626123714530/datasets/export for details.
DOI: 10.15468/dl.36u497
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((149.115107 -35.180973, 149.115107 -35.183219, 149.117353 -35.183219, 149.117353 -35.180973, 149.115107 -35.180973))"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074144-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.14272/ntplxrhduxrpne-uhfffaoysa-n/chmo0000593.1
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) (1-(4-methoxyphenyl)ethanone)
title: InChI=1S/C9H10O2/c1-7(10)8-3-5-9(11-2)6-4-8/h3-6H,1-2H3

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR)
DOI: 10.14272/ntplxrhduxrpne-uhfffaoysa-n/chmo0000601
title: heteronuclear multiple bond coherence (HMBC) (1-(4-methoxyphenyl)ethanone)
title: InChI=1S/C9H10O2/c1-7(10)8-3-5-9(11-2)6-4-8/h3-6H,1-2H3

description: dataset for heteronuclear multiple bond coherence (HMBC)
DOI: 10.14272/ntplxrhduxrpne-uhfffaoysa-n/chmo0000604
title: heteronuclear single quantum coherence (HSQC) (1-(4-methoxyphenyl)ethanone)
title: InChI=1S/C9H10O2/c1-7(10)8-3-5-9(11-2)6-4-8/h3-6H,1-2H3

description: dataset for heteronuclear single quantum coherence (HSQC)
DOI: 10.14272/ntplxrhduxrpne-uhfffaoysa-n/chmo0000596
title: distortionless enhancement with polarization transfer (DEPT) (1-(4-methoxyphenyl)ethanone)
title: InChI=1S/C9H10O2/c1-7(10)8-3-5-9(11-2)6-4-8/h3-6H,1-2H3

description: dataset for distortionless enhancement with polarization transfer (DEPT)
DOI: 10.14272/ntplxrhduxrpne-uhfffaoysa-n/chmo0000596.1
title: distortionless enhancement with polarization transfer (DEPT) (1-(4-methoxyphenyl)ethanone)
title: InChI=1S/C9H10O2/c1-7(10)8-3-5-9(11-2)6-4-8/h3-6H,1-2H3

description: dataset for distortionless enhancement with polarization transfer (DEPT)
DOI: 10.14272/ntplxrhduxrpne-uhfffaoysa-n/chmo0000599
title: correlation spectroscopy (COSY) (1-(4-methoxyphenyl)ethanone)
title: InChI=1S/C9H10O2/c1-7(10)8-3-5-9(11-2)6-4-8/h3-6H,1-2H3

description: dataset for correlation spectroscopy (COSY)
DOI: 10.14272/ntplxrhduxrpne-uhfffaoysa-n.2
title: 1-(4-methoxyphenyl)ethanone
title: InChI=1S/C9H10O2/c1-7(10)8-3-5-9(11-2)6-4-8/h3-6H,1-2H3

description: This is a physical chemical entity[CHEBI_24431] associated with a molecule[CHEBI_25367].
 The molecule[CHEBI_25367] can be described by the following structural desciptors[cheminf_000085]:
 InChI descriptor[cheminf_000113]: InChI=1S/C9H10O2/c1-7(10)8-3-5-9(11-2)6-4-8/h3-6H,1-2H3, and canonical SMILES descriptor[cheminf_000007]: COc1ccc(cc1)C(=O)C, and by the IUPAC name[cheminf_000107]: 1-(4-methoxyphenyl)ethanone.
 
 The physical chemical entity[CHEBI_24431] has a component solvent[CHEBI_46787] which is described by the canonical SMILES descriptor[cheminf_000007]:
 
 The physical chemical entity[CHEBI_24431] has the following Sample ID as registered in the research data repository chemotion (www.chemotion-repository.net, https://doi.org/10.25504/FAIRsharing.iagXcR): CRS-44256

 The physical chemical entity[CHEBI_24431] can be described by the physical descriptors [CHEMINF_000025]:
 Melting point descriptor[CHEMINF_000256]: 
 Boiling point descriptor[CHEMINF_000257]: 
 Refractive index descriptor[CHEMINF_000253]:

 The physical chemical entity[CHEBI_24431] can be further described by the following assays[OBI:0000070][CHMO:0001133]:
 
 CHMO:0000593 | 1H nuclear magnetic resonance spectroscopy (1H NMR)
 
 CHMO:0000604 | heteronuclear single quantum coherence (HSQC)
 
 CHMO:0000601 | heteronuclear multiple bond coherence (HMBC)
 
 CHMO:0000596 | distortionless enhancement with polarization transfer (DEPT)
 
 CHMO:0000596 | distortionless enhancement with polarization transfer (DEPT)
 
 CHMO:0000599 | correlation spectroscopy (COSY)
 
 CHMO:0000595 | 13C nuclear magnetic resonance spectroscopy (13C NMR)
 
 The physical chemical entity[CHEBI_24431] was deposited to the Molecule Archive of the Karlsruhe Insitute of Technology (KIT) with the following Sample ID: 

 Used ontologies:
 CHEBI - Chemical Entities of Biological Interest
 CHEMINF - chemical information ontology (information entities about chemical entities)
 CHMO - Chemical Methods Ontology
 OBI - Ontology for Biomedical Investigations
DOI: 10.14272/ntplxrhduxrpne-uhfffaoysa-n/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) (1-(4-methoxyphenyl)ethanone)
title: InChI=1S/C9H10O2/c1-7(10)8-3-5-9(11-2)6-4-8/h3-6H,1-2H3

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR)
DOI: 10.15468/dl.b9tjxp
title: Occurrence Download

description: A dataset containing 659 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Grewia villosa Willd.",
 "Continent is Africa"
 ]
}

 The dataset includes 659 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074145-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.efn8pn
title: Occurrence Download

description: A dataset containing 4966 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Dysphania ambrosioides (L.) Mosyakin & Clemants",
 "Year 2019-2024"
 ]
}

 The dataset includes 4966 records from 190 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074146-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.8305247
title: Deliverable 2.2: Biodiversity indicator database for focus regions

description: To quantify human-driven impacts on biodiversity, we used advanced modeling techniques paired with a few key variables such as habitat quality, vegetation structure, climate, and topography to develop an innovative predictive model that estimates both 1) current biodiversity patterns and distributions and 2) a baseline model of biodiversity. By comparing both of these models, we are able to identify regions with significant human-driven reductions in species richness, endemism, and species composition across both of our focus regions, South America and Africa.


The files provided in this repository (1 km2 resolution) include:


1- Species richness (number of species).


2- Endemism (species rarity). For this metric, we used the corrected weight endemism index, which is the inverse of a species’ range size and effectively assigns higher scores to species with more restricted distributions. For this index, we used species ranges found within our study area (of South America and Africa).


3- Species composition of vertebrates, invertebrates, and plants (which species occur in a given location). This metric, also known as beta diversity, summarizes which sets of species occur at each location. For this, we used the Sorensen index metric, as it does not depend on species absence data.


These results provide a valuable first step in describing human-induced changes in vegetation and biodiversity patterns across both South America and Africa.
description: This project has received funding from the European Research Executive Agency under HORIZON Research and Innovation Actions, grant agreement no101060765
DOI: 10.6084/m9.figshare.26003374
title: The hidden cost of your ‘too fast food’: stress-related factors and fatigue predict food delivery riders’ occupational crashes

description: <i>Objectives.</i> For several years, the so-called ‘gig economy’ has kept transforming urban transportation dynamics. However, the literature has often overlooked the demanding, stressful and safety-compromising conditions under which delivery riders carry out their occupational tasks. This research aimed to examine whether fatigue acts as a mediating mechanism in the complex relationships among job settings, stress-related psychosocial factors at work and the occurrence of occupational traffic crashes among two-wheeled food delivery riders. <i>Methods.</i> This cross-sectional study field-surveyed 248 food delivery riders operating across various platforms. Participants responded to a questionnaire on work features, psychosocial factors and occupational safety issues. The data underwent both descriptive analyses and structural equation modeling (SEM). <i>Results.</i> As hypothesized, the occupational (riding) crashes of food delivery riders can be largely explained through work-related fatigue, which exerts a full mediation between job settings, stress-related factors and riding safety outcomes. <i>Conclusions.</i> These results highlight fatigue as a significant yet overlooked threat in this occupation, emphasizing the need to connect stress-related conditions with safety incidents, a relationship not previously explored among delivery riders. Moreover, our findings stress the necessity for policies and interventions targeting stress and fatigue management to improve occupational health and road safety in the gig economy era.
DOI: 10.6084/m9.figshare.26003374.v1
title: The hidden cost of your ‘too fast food’: stress-related factors and fatigue predict food delivery riders’ occupational crashes

description: <i>Objectives.</i> For several years, the so-called ‘gig economy’ has kept transforming urban transportation dynamics. However, the literature has often overlooked the demanding, stressful and safety-compromising conditions under which delivery riders carry out their occupational tasks. This research aimed to examine whether fatigue acts as a mediating mechanism in the complex relationships among job settings, stress-related psychosocial factors at work and the occurrence of occupational traffic crashes among two-wheeled food delivery riders. <i>Methods.</i> This cross-sectional study field-surveyed 248 food delivery riders operating across various platforms. Participants responded to a questionnaire on work features, psychosocial factors and occupational safety issues. The data underwent both descriptive analyses and structural equation modeling (SEM). <i>Results.</i> As hypothesized, the occupational (riding) crashes of food delivery riders can be largely explained through work-related fatigue, which exerts a full mediation between job settings, stress-related factors and riding safety outcomes. <i>Conclusions.</i> These results highlight fatigue as a significant yet overlooked threat in this occupation, emphasizing the need to connect stress-related conditions with safety incidents, a relationship not previously explored among delivery riders. Moreover, our findings stress the necessity for policies and interventions targeting stress and fatigue management to improve occupational health and road safety in the gig economy era.
DOI: 10.6084/m9.figshare.26134003
title: Pilot study of an online brief mindfulness-based intervention to improve the well-being of managers and reduce their stress at work

description: <i>Objectives</i>. The COVID-19 pandemic, remote work and new technologies have heightened workplace pressures. Effective response and essential organizational changes require business leaders to be more adaptable, with managers’ presence playing a pivotal role in successful implementation. The study assesses a brief mindfulness-based emotional regulation for managers (MBERM) intervention, to reduce workplace stress and enhance managerial well-being. <i>Methods</i>. An 8-week non-randomized controlled trial was conducted with a waiting list control group and an intervention group. Pre–post differences were measured by Student’s <i>t</i> test or Wilcoxon test, and effect size calculated using the Hedge’s <i>g</i> formula. The sample included 23 managers (17 men and six women) with average age 50 years. The study assessed anxiety and depressive symptoms, psychological flexibility, perceived self-efficacy, general work-related well-being, perceived stress and mindfulness. <i>Results</i>. Statistically significant changes were observed in the intervention group in depression, anxiety, work-related acceptance and action, general self-efficacy, exhaustion, alienation, stress and non-reactivity. The control group showed no statistically significant changes in any of the variables. <i>Conclusion</i>. The MBERM intervention could improve the emotional and work-related well-being of managers and reduce stress levels and burnout. Further study of this intervention is needed to promote adherence and ensure a long-term improvement.
DOI: 10.6084/m9.figshare.26134003.v1
title: Pilot study of an online brief mindfulness-based intervention to improve the well-being of managers and reduce their stress at work

description: <i>Objectives</i>. The COVID-19 pandemic, remote work and new technologies have heightened workplace pressures. Effective response and essential organizational changes require business leaders to be more adaptable, with managers’ presence playing a pivotal role in successful implementation. The study assesses a brief mindfulness-based emotional regulation for managers (MBERM) intervention, to reduce workplace stress and enhance managerial well-being. <i>Methods</i>. An 8-week non-randomized controlled trial was conducted with a waiting list control group and an intervention group. Pre–post differences were measured by Student’s <i>t</i> test or Wilcoxon test, and effect size calculated using the Hedge’s <i>g</i> formula. The sample included 23 managers (17 men and six women) with average age 50 years. The study assessed anxiety and depressive symptoms, psychological flexibility, perceived self-efficacy, general work-related well-being, perceived stress and mindfulness. <i>Results</i>. Statistically significant changes were observed in the intervention group in depression, anxiety, work-related acceptance and action, general self-efficacy, exhaustion, alienation, stress and non-reactivity. The control group showed no statistically significant changes in any of the variables. <i>Conclusion</i>. The MBERM intervention could improve the emotional and work-related well-being of managers and reduce stress levels and burnout. Further study of this intervention is needed to promote adherence and ensure a long-term improvement.
DOI: 10.6084/m9.figshare.26354262
title: Objective multi-criteria decision-making for optimal firefighter protective clothing size selection

description: <i>Objectives</i>. Addressing the prevalent issue of size misfits in large-scale issued firefighter uniforms due to diverse and complex body morphologies, this article presents an objective method for intelligent garment sizing matching without subjective weighting. <i>Methods</i>. The method employs criteria importance through inter-criteria correlation (CRITIC) and the catastrophe progression method (CPM) for more accurate and reliable sizing. Traditional methods, reliant on limited indicators such as height and chest girth and often subjectively determined by experts, are prone to reliability concerns. Matching decisions made based on our approach are evidence-based, transparent and reproducible, thus minimizing subjectivity and expert intervention. <i>Results</i>. A case study of 388 cases validates the method’s efficacy in providing garment size recommendations, surpassing traditional experience-based approaches by reducing subjective bias. <i>Conclusion</i>. Despite some differences, the optimal alternatives for examinees are almost consistent across the different methods. Compared with traditional subjective weighting methods, this method has potential advantages in situations such as large-scale matching of firefighter protective clothing where individual customization or direct try-on is not feasible.
DOI: 10.6084/m9.figshare.26354262.v1
title: Objective multi-criteria decision-making for optimal firefighter protective clothing size selection

description: <i>Objectives</i>. Addressing the prevalent issue of size misfits in large-scale issued firefighter uniforms due to diverse and complex body morphologies, this article presents an objective method for intelligent garment sizing matching without subjective weighting. <i>Methods</i>. The method employs criteria importance through inter-criteria correlation (CRITIC) and the catastrophe progression method (CPM) for more accurate and reliable sizing. Traditional methods, reliant on limited indicators such as height and chest girth and often subjectively determined by experts, are prone to reliability concerns. Matching decisions made based on our approach are evidence-based, transparent and reproducible, thus minimizing subjectivity and expert intervention. <i>Results</i>. A case study of 388 cases validates the method’s efficacy in providing garment size recommendations, surpassing traditional experience-based approaches by reducing subjective bias. <i>Conclusion</i>. Despite some differences, the optimal alternatives for examinees are almost consistent across the different methods. Compared with traditional subjective weighting methods, this method has potential advantages in situations such as large-scale matching of firefighter protective clothing where individual customization or direct try-on is not feasible.
DOI: 10.15468/dl.3szsjd
title: Occurrence Download

description: A dataset containing 754 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((149.126336 -35.180973, 149.128582 -35.180973, 149.128582 -35.178727, 149.126336 -35.178727, 149.126336 -35.180973)), ((149.126336 -35.180973, 149.12409 -35.180973, 149.12409 -35.183219, 149.119599 -35.183219, 149.119599 -35.187711, 149.126336 -35.187711, 149.126336 -35.180973)))"
 ]
}

 The dataset includes 754 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074147-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p9jpqy
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Germany",
 "TaxonKey is Angelica archangelica L.",
 "Year 1000-1800"
 ]
}

 The dataset's 1 records were derived from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074130-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kpjkkc
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Grewia welwitschii Burret",
 "Continent is Africa"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074148-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.px2k92
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Indonesia",
 "Geometry POLYGON((123.85277 -11.75579,160.14723 -11.75579,160.14723 2.75579,123.85277 2.75579,123.85277 -11.75579))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Hipposideros maggietaylorae Smith & Hill, 1981"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074149-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25392/leicester.data.26572099
title: Project data (anonymised)

description: This project comprises a study of factors affecting help-seeking among Chinese family caregivers of people living with dementia in China. Data were collected through individual semi-structured interviews and the transcripts analysed via reflexive thematic analysis. Code spreadsheets are uploaded by theme and subtheme, with data provided in both Chinese and English.This item shows coding for the five themes:"Caregivers' responses to dementia", which contains two subthemes: "Changes in the person living with dementia affect everyone" and "One of us owes the other"."Dementia through the caregiver's eye", which contains two subthemes: "An old child" and "Struggling against insurmountable symptoms"."Help-seeking may not help", which contains four subthemes: "Medical services", "Social and familial networks", External caregivers", and "Media information"."Perceptions of dementia", which contains three subthemes: "Caregivers' attributions", "Dementia should be hidden", and "The impact of not knowing"."It's a balancing act", which comprises a single theme with no subthemes.