cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.997779.v1
title: Experiences of teen drivers and their advice for the Learner licence phase

description: ABSTRACTObjectiveTeen drivers remain at considerable risk of injury and fatality during the earliest years of independent driving. Multistage licensing programs, such as graduated driver licensing (GDL), have been implemented in numerous jurisdictions as a form of exposure control, mandating minimum practice periods and driving restrictions such as night driving and passenger limits. However, the teen driver's experiences of GDL during the Learner phase, and the driving and other advice they recommend be shared with all Learners, remains unknown at this time.<b>Methods</b>Thirty-seven Learner drivers (aged 16-18 years, mean = 16.7, mode = 16; 9 males) from two high schools (one private, 3 males; one public) participated in one of two (group 1: private school, n = 17) 45-minute group discussions.<b>Results</b>Two themes emerged: (1) learning to drive and (2) supervision of the learner driver. A wealth of experiences and advice pertaining to the sub-themes of supervisor behaviour, GDL, road environment, vehicle logistics and interacting with other road users were shared by Learners. Numerous recommendations are made pertaining to each sub-theme, such as clear instruction and feedback, tips for negotiating complex infrastructure, and normalising of outcomes like stalled vehicles when first learning to drive. Furthermore, it appears that current approaches of issuing supporting literature at the commencement of the Learner phase are insufficient.<b>Conclusions</b>The wealth of experiences and advice shared by the Learner drivers should be considered in refining the content and process of the Learner licence phase. Moreover, the non-use of Learner resources suggests that alternative mechanisms of engagement and information dissemination need to be explored.
DOI: 10.15468/dl.mucj5h
title: Occurrence Download

description: A dataset containing 55722 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "TaxonKey is Puffinus tenuirostris"
 ]
}

 The dataset includes 55722 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023442-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/qla-tbw-mkw
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.15468/dl.x5fw59
title: Occurrence Download

description: A dataset containing 717 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dremomys pernyi"
 ]
}

 The dataset includes 717 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023465-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gsm8rx
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Year is greater than or equal to 1900",
 "TaxonKey is Halocharis gossypina"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023466-260208012135463/datasets/export for details.
DOI: 10.15468/dl.engex3
title: Occurrence Download

description: A dataset containing 76 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Buellia erubescens",
 "Country is one of (Norway)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "CoordinateUncertaintyInMeters is less than or equal to 1000",
 "Year is greater than or equal to 1986",
 "Year is less than or equal to 2025",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "not" : {
 "BasisOfRecord" : [
 "is Machine Observation"
 ]
 }
 }
 ]
}

 The dataset includes 76 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023464-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2442rb
title: Occurrence Download

description: A dataset containing 368 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Ecología poblacional de Abies hickelii en el Pico de Orizaba, Veracruz",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is one of (Coordinate rounded, Geodetic datum assumed WGS84, Coordinate reprojected)"
 ]
}

 The dataset includes 368 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023467-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4k67j2
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Buellia badia",
 "Country is one of (Norway)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "CoordinateUncertaintyInMeters is less than or equal to 1000",
 "Year is greater than or equal to 1986",
 "Year is less than or equal to 2025",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "not" : {
 "BasisOfRecord" : [
 "is Machine Observation"
 ]
 }
 }
 ]
}

 The dataset includes 11 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023469-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vt597h
title: Occurrence Download

description: A dataset containing 327 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is one of (Coordinate rounded, Geodetic datum assumed WGS84, Coordinate reprojected)",
 "OccurrenceStatus is Present",
 "TaxonKey is Meliosma alba"
 ]
}

 The dataset includes 327 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023468-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pnbz6b
title: Occurrence Download

description: A dataset containing 80 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Year is greater than or equal to 1900",
 "TaxonKey is Halocharis hispida"
 ]
}

 The dataset includes 80 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023470-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mw3cbr
title: Occurrence Download

description: A dataset containing 52616 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eristalinus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 52616 records from 374 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023440-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18666480
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Patricia Perez, https://orcid.org/0009-0005-1165-3693. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.5281/zenodo.18666481
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Patricia Perez, https://orcid.org/0009-0005-1165-3693. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.15468/dl.my5675
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Buellia miriquidica",
 "Country is one of (Norway)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "CoordinateUncertaintyInMeters is less than or equal to 1000",
 "Year is greater than or equal to 1986",
 "Year is less than or equal to 2025",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "not" : {
 "BasisOfRecord" : [
 "is Machine Observation"
 ]
 }
 }
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023471-260208012135463/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.990183.v1
title: On-Roadway In-Cabin Exposure to Particulate Matter: Measurement Results Using Both Continuous and Time-Integrated Sampling Approaches

description: The Atlanta Commuters Exposure (ACE) Study was designed to measure in-cabin exposure to roadway particulate pollution and acute health response in a panel of adults with and without asthma following a 2-hour scripted route along major highways in Atlanta. This manuscript focuses on methods and results of both continuous and integrated approaches used to measure the concentration of PM<sub>2.5</sub> mass, particle number concentration (PNC), black carbon mass, and particle-bound PAHs, in-cabin noise, PM elemental composition, elemental carbon, organic carbon, water-soluble organic carbon content, and speciation of a broad range of organic compounds including alkanes, hopanes, and PAHs. Speciated PM data indicates that in-cabin particles derive from three non-co-varying processes: the resuspension of road dust containing crustal elements and previously-deposited brake pad residue with a contribution of normal fuel combustion, incomplete combustion processes producing PAHs and carbon particles, and particles ablated from brake pads that have not previously deposited to the roadside environment. Most in-cabin pollutants were elevated during the warm season with the notable exception of PNC. PNC was not found to be correlated with most other pollutants. In-cabin concentrations were marginally higher when windows were open.
DOI: 10.15468/g8c4kf
title: Urban parks ants of Montpellier

description: This dataset, collected in 2014 and 2017, documents the diversity and structure of ant communities in urban parks of the city of Montpellier (France).The objective of the study was to better understand the spatial distribution and species composition of ant assemblages in urban green spaces, as well as their variability among parks.Sampling was conducted across a network of public parks representative of different urban contexts within Montpellier. Standardized trapping protocols were implemented to collect ants inhabiting soil and leaf litter habitats.The dataset notably includes ants occurrence data and species composition per park and trapping point, derived from field campaigns conducted in 2014 and 2017.
DOI: 10.15468/dl.pf3djm
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Buellia jugorum",
 "Country is one of (Norway)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "CoordinateUncertaintyInMeters is less than or equal to 1000",
 "Year is greater than or equal to 1986",
 "Year is less than or equal to 2025",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "not" : {
 "BasisOfRecord" : [
 "is Machine Observation"
 ]
 }
 }
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023472-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gzckgw
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Mainwaringia rhizophila"
 ]
}

 The dataset includes 9 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023473-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3udxf5
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Year is greater than or equal to 1900",
 "TaxonKey is Halocharis sulphura"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023475-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v5a7zt
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Buellia aethalea",
 "Country is one of (Norway)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "CoordinateUncertaintyInMeters is less than or equal to 1000",
 "Year is greater than or equal to 1986",
 "Year is less than or equal to 2025",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "not" : {
 "BasisOfRecord" : [
 "is Machine Observation"
 ]
 }
 }
 ]
}

 The dataset includes 38 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023476-260208012135463/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.987099.v1
title: Learning the Structure of Mixed Graphical Models

description: We consider the problem of learning the structure of a pairwise graphical model over continuous and discrete variables. We present a new pairwise model for graphical models with both continuous and discrete variables that is amenable to structure learning. In previous work, authors have considered structure learning of Gaussian graphical models and structure learning of discrete models. Our approach is a natural generalization of these two lines of work to the mixed case. The penalization scheme involves a novel symmetric use of the group-lasso norm and follows naturally from a particular parametrization of the model. Supplementary materials for this paper are available online.
DOI: 10.6084/m9.figshare.987099.v2
title: Learning the Structure of Mixed Graphical Models

description: We consider the problem of learning the structure of a pairwise graphical model over continuous and discrete variables. We present a new pairwise model for graphical models with both continuous and discrete variables that is amenable to structure learning. In previous work, authors have considered structure learning of Gaussian graphical models and structure learning of discrete models. Our approach is a natural generalization of these two lines of work to the mixed case. The penalization scheme involves a novel symmetric use of the group-lasso norm and follows naturally from a particular parametrization of the model. Supplementary materials for this paper are available online.
DOI: 10.6084/m9.figshare.987099.v3
title: Learning the Structure of Mixed Graphical Models

description: We consider the problem of learning the structure of a pairwise graphical model over continuous and discrete variables. We present a new pairwise model for graphical models with both continuous and discrete variables that is amenable to structure learning. In previous work, authors have considered structure learning of Gaussian graphical models and structure learning of discrete models. Our approach is a natural generalization of these two lines of work to the mixed case. The penalization scheme involves a novel symmetric use of the group-lasso norm and follows naturally from a particular parameterization of the model. Supplementary materials for this article are available online.
DOI: 10.5281/zenodo.14251162
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Jason Flores, https://orcid.org/0000-0002-6388-833X. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.5281/zenodo.17917571
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Jason Flores, https://orcid.org/0000-0002-6388-833X. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.15468/dl.w9ztf3
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Buellia asterella",
 "Country is one of (Norway)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "CoordinateUncertaintyInMeters is less than or equal to 1000",
 "Year is greater than or equal to 1986",
 "Year is less than or equal to 2025",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "not" : {
 "BasisOfRecord" : [
 "is Machine Observation"
 ]
 }
 }
 ]
}

 The dataset includes 25 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023477-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rrqa3c
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Year is greater than or equal to 1900",
 "TaxonKey is Halocharis sulphurea"
 ]
}

 The dataset includes 5 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023478-260208012135463/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.985598.v1
title: Multivariate survival mixed models for genetic analysis of longevity traits

description: A class of multivariate mixed survival models for continuous and discrete time with a complex covariance structure is introduced in a context of quantitative genetic applications. The methods introduced can be used in many applications in quantitative genetics although the discussion presented concentrates on longevity studies. The framework presented allows to combine models based on continuous time with models based on discrete time in a joint analysis. The continuous time models are approximations of the frailty model in which the baseline hazard function will be assumed to be piece-wise constant. The discrete time models used are multivariate variants of the discrete relative risk models. These models allow for regular parametric likelihood-based inference by exploring a coincidence of their likelihood functions and the likelihood functions of suitably defined multivariate generalized linear mixed models. The models include a dispersion parameter, which is essential for obtaining a decomposition of the variance of the trait of interest as a sum of parcels representing the additive genetic effects, environmental effects and unspecified sources of variability; as required in quantitative genetic applications. The methods presented are implemented in such a way that large and complex quantitative genetic data can be analyzed. Some key model control techniques are discussed in a supplementary online material.
DOI: 10.6084/m9.figshare.26207393.v3
title: Effect of obesity-related supplementation on hypertension and system dynamics in hypertensive broiler chickens

description: Fructose, a high-energy food present in high-fructose corn syrup (HFS), is considered the principal source of many disorders among others obesity and hypertension. Conversely, <i>Momordica charantia</i> (Mo) is used as a nutraceutical supplement to treat obesity, diabetes and dyslipidemia and as an antihypertensive compound. These critical challenges to public health and biomedical research, has been widely studied in animal models including broiler chicken for pulmonary arterial hypertension (PAH). One of the reasons for its wide use is the sensitivity of broiler chickens to developing PAH under normal and induced conditions due to this strain’s rapid growth and reduced vascular capacity. The mobilization and subsequent deposition of energy in both humans and non-human animals are complex. Thus, the effect of obesity-related supplementation and hypertension in animals and humans should be evaluated with system dynamics approach due to its potential to deepen our holistic understanding of the biological system. Therefore, this work evaluated the persistent effects of low-dose, short-term obesity-related Mo and HFS supplementation on system dynamics and hypertension in hypertensive broiler chickens. Our results have shown that the increase in feed consumption in chickens consuming HFS or the efficient conversion pathway in chickens consuming Mo drive the formation of new biomass that promoted a high fraction increase and weight gain, and an improvement in pulmonary arterial hypertension in the hypertensive broiler chickens which were more accentuated in HFS.
DOI: 10.15468/dl.24g8ew
title: Occurrence Download

description: A dataset containing 52 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Buellia epigaea",
 "Country is one of (Norway)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "CoordinateUncertaintyInMeters is less than or equal to 1000",
 "Year is greater than or equal to 1986",
 "Year is less than or equal to 2025",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "not" : {
 "BasisOfRecord" : [
 "is Machine Observation"
 ]
 }
 }
 ]
}

 The dataset includes 52 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023479-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b4f328
title: Occurrence Download

description: A dataset containing 231028 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Ectropis crepuscularia"
 ]
}

 The dataset includes 231028 records from 486 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023447-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.