cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.hym7wg
title: Occurrence Download

description: A dataset containing 6829 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 Euchorthippus declivus (Brisout de Barneville, 1848)",
 "PhylumKey is Arthropoda",
 "Year is greater than or equal to 1992",
 "Year is less than or equal to 2012",
 "Geometry POLYGON((-26 34, 42 34, 42 70, -26 70, -26 34))"
 ]
}

 The dataset includes 6829 records from 230 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026478-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wbarm4
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is ZAF",
 "OccurrenceStatus is Present",
 "TaxonKey is Procambarus clarkii (Girard, 1852)"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026481-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6h5ehe
title: Occurrence Download

description: A dataset containing 863 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 Locusta migratoria (Linnaeus, 1758)",
 "PhylumKey is Arthropoda",
 "Year is greater than or equal to 1992",
 "Year is less than or equal to 2012",
 "Geometry POLYGON((-26 34, 42 34, 42 70, -26 70, -26 34))"
 ]
}

 The dataset includes 863 records from 114 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026482-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y46may
title: Occurrence Download

description: A dataset containing 77 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((12.52655 55.69577,12.52667 55.69038,12.532 55.68572,12.53981 55.68547,12.54495 55.69026,12.54435 55.69595,12.5389 55.70194,12.53455 55.70195,12.5326 55.70194,12.52655 55.69577))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is one of (CR, VU, NT)",
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 77 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026483-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ex2bxq
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 Metrioptera fedtschenkoi (Saussure, 1874)",
 "PhylumKey is Arthropoda",
 "Year is greater than or equal to 1992",
 "Year is less than or equal to 2012",
 "Geometry POLYGON((-26 34, 42 34, 42 70, -26 70, -26 34))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026484-241007104925546/datasets/export for details.
DOI: 10.5281/zenodo.13959906
title: Investigating Discontinuous X-ray Irradiation as a Damage Mitigation Strategy for [M(COD)Cl]2 Catalysts - Data

description: This Origin file contains the supporting processed data for all of the figures from the main paper from the publication 'Investigating Discontinuous X-ray Irradiation as a Damage Mitigation Strategy for [M(COD)Cl]2 Catalysts.
DOI: 10.5281/zenodo.13959907
title: Investigating Discontinuous X-ray Irradiation as a Damage Mitigation Strategy for [M(COD)Cl]2 Catalysts - Data

description: This Origin file contains the supporting processed data for all of the figures from the main paper from the publication 'Investigating Discontinuous X-ray Irradiation as a Damage Mitigation Strategy for [M(COD)Cl]2 Catalysts.
DOI: 10.15468/dl.yn2hqu
title: Occurrence Download

description: A dataset containing 801 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 Paratettix meridionalis (Rambur, 1838)",
 "PhylumKey is Arthropoda",
 "Year is greater than or equal to 1992",
 "Year is less than or equal to 2012",
 "Geometry POLYGON((-26 34, 42 34, 42 70, -26 70, -26 34))"
 ]
}

 The dataset includes 801 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026485-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25405/data.ncl.26349286
title: Meteorological data used for water-balance calculations at ground surface in failure prediction of clay embankments subject to weather-driven deterioration

description: DataThis dataset contains the weather data used to prepare the boundary condition files applied in the modelling summarised in the publication: Morsy & Helm. (2024). Failure Prediction of Clay Embankments Subject to Weather-Driven Deterioration. <i>Journal of</i><i> Geotechnical and Geoenvironmental Engineering. </i>The dataset readme also includes geospatial data summarising the locations of the weather stations.This dataset includes an excel spreadsheet that contains the data and example figures. The dataset also includes a PDF coversheet and readme file that contains metadata and a brief explanation of the derivation of the data. Please note there are also plain text and comma separated value versions of the readme and data spreadsheets to maximise compatibility at the expense of some functionality that the pdf and .xlsx versions provide.Funding summaryFunding for this work was provided by a range of sources including the UK EPSRC programme grant <b>ACHILLES</b> (EP/R034575/1), the EPSRC and UK DfT funded <b>Research Hub for Decarbonised Adaptable and Resilient Transport Infrastructures</b><b> </b><b>-</b><b> DARe</b> (EP/Y024257/1) and the <b>California State University Transportation Consortium</b> under project number: 2326 through the State of California’s Road Repair and Rehabilitation Act of 2017 (Senate Bill 1). For more information see the funding details below and the links in the related materials section.
DOI: 10.25405/data.ncl.26349286.v1
title: Meteorological data used for water-balance calculations at ground surface in failure prediction of clay embankments subject to weather-driven deterioration

description: DataThis dataset contains the weather data used to prepare the boundary condition files applied in the modelling summarised in the publication: Morsy & Helm. (2024). Failure Prediction of Clay Embankments Subject to Weather-Driven Deterioration. <i>Journal of</i><i> Geotechnical and Geoenvironmental Engineering. </i>The dataset readme also includes geospatial data summarising the locations of the weather stations.This dataset includes an excel spreadsheet that contains the data and example figures. The dataset also includes a PDF coversheet and readme file that contains metadata and a brief explanation of the derivation of the data. Please note there are also plain text and comma separated value versions of the readme and data spreadsheets to maximise compatibility at the expense of some functionality that the pdf and .xlsx versions provide.Funding summaryFunding for this work was provided by a range of sources including the UK EPSRC programme grant <b>ACHILLES</b> (EP/R034575/1), the EPSRC and UK DfT funded <b>Research Hub for Decarbonised Adaptable and Resilient Transport Infrastructures</b><b> </b><b>-</b><b> DARe</b> (EP/Y024257/1) and the <b>California State University Transportation Consortium</b> under project number: 2326 through the State of California’s Road Repair and Rehabilitation Act of 2017 (Senate Bill 1). For more information see the funding details below and the links in the related materials section.
DOI: 10.15468/dl.z9tnh8
title: Occurrence Download

description: A dataset containing 1276 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((10.42895 44.63015,14.00669 44.63015,14.00669 47.14278,10.42895 47.14278,10.42895 44.63015))",
 "HasGeospatialIssue is false",
 "TaxonKey is Ailanthus altissima (Mill.) Swingle"
 ]
}

 The dataset includes 1276 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026487-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/hs58-pq35
title: ASVME

description: The breath rate (BR), heart rate (HR), breathing-breathing interval (BBI) and heart rate variability (HRV) are the critical vital sign parameters. In this article, a novel method named adaptive separation variational mode extraction algorithm (ASVME) is proposed to accurately monitor multi-variable vital signs (MVVS) at the same time with a frequency-modulated continuous wave (FMCW) radar system in practical scenarios. Firstly, a minimum variance distortionless response (MVDR) spectrum estimation algorithm is proposed to accurately locate respiratory and heartbeat components, which can effectively restrain the influence of respiratory harmonics on HR and R-R intervals (RRI) measurements. Subsequently, an adaptive variational mode extraction (AVME) algorithm is proposed to accurately extract respiratory waves and heartbeat waves after accurate frequency location.
DOI: 10.60641/82tq-9p59
title: Child health

description: YOUth is a large-scale longitudinal cohort study following children from the city of Utrecht and its surrounding areas in their development from pregnancy until early adulthood. The YOUth cohort focuses on neurocognitive development involved in two core characteristics of behavioral development: social competence and behavioral control. YOUth includes children from the general population to cover the whole range of variation in behavioral development, ranging from uncomplicated development, through problem behavior, to psychiatric disorders. To understand why some children develop problematic behavior, and others show resilience, YOUth measures a broad range of biological, child-related and environmental determinants.

YOUth conducts repeated measurements at regular intervals (i.e. 'waves'). Specifically, the study has two inclusion moments: YOUth Baby & Child and YOUth Child & Adolescent. YOUth applies a flexible longitudinal design to the cohorts, meaning that children are measured at broader age ranges (3-year age ranges) at each wave. The main benefit of the flexible age design is that it provides more detailed information on the neurodevelopmental curves over time.

An extensive data set is generated, including 3D-ultrasound sweeps of the fetal brain, eye tracking, EEG, (f)MRI, computer tasks, cognitive measurements and parent-child observations. We also collect a broad range of questionnaires on behavior, personality, health, lifestyle, parenting, child development, use of (social) media and more. Finally, (umbilical) blood samples, buccal swabs, saliva and hair samples are collected at each visit, and stored in the UMC Utrecht Biobank.
description: Child health was assessed using a questionnaire about the child's general health, physical complaints, diseases, allergies, surgeries, medication and vaccinations.
DOI: 10.60641/tjkx-4e03
title: Medical family illness

description: YOUth is a large-scale longitudinal cohort study following children from the city of Utrecht and its surrounding areas in their development from pregnancy until early adulthood. The YOUth cohort focuses on neurocognitive development involved in two core characteristics of behavioral development: social competence and behavioral control. YOUth includes children from the general population to cover the whole range of variation in behavioral development, ranging from uncomplicated development, through problem behavior, to psychiatric disorders. To understand why some children develop problematic behavior, and others show resilience, YOUth measures a broad range of biological, child-related and environmental determinants.

YOUth conducts repeated measurements at regular intervals (i.e. 'waves'). Specifically, the study has two inclusion moments: YOUth Baby & Child and YOUth Child & Adolescent. YOUth applies a flexible longitudinal design to the cohorts, meaning that children are measured at broader age ranges (3-year age ranges) at each wave. The main benefit of the flexible age design is that it provides more detailed information on the neurodevelopmental curves over time.

An extensive data set is generated, including 3D-ultrasound sweeps of the fetal brain, eye tracking, EEG, (f)MRI, computer tasks, cognitive measurements and parent-child observations. We also collect a broad range of questionnaires on behavior, personality, health, lifestyle, parenting, child development, use of (social) media and more. Finally, (umbilical) blood samples, buccal swabs, saliva and hair samples are collected at each visit, and stored in the UMC Utrecht Biobank.
description: Medical family illness assesses the presence and severity of medical problems of first degree family members, including pulmonary embolism, epilepsy, diabetes, hypertension, heart attack, stroke, migraine, cancer and miscarriage.
DOI: 10.60641/758f-x894
title: NEO-Five Factor Inventory-3 (NEO-FFI-3)

description: YOUth is a large-scale longitudinal cohort study following children from the city of Utrecht and its surrounding areas in their development from pregnancy until early adulthood. The YOUth cohort focuses on neurocognitive development involved in two core characteristics of behavioral development: social competence and behavioral control. YOUth includes children from the general population to cover the whole range of variation in behavioral development, ranging from uncomplicated development, through problem behavior, to psychiatric disorders. To understand why some children develop problematic behavior, and others show resilience, YOUth measures a broad range of biological, child-related and environmental determinants.

YOUth conducts repeated measurements at regular intervals (i.e. 'waves'). Specifically, the study has two inclusion moments: YOUth Baby & Child and YOUth Child & Adolescent. YOUth applies a flexible longitudinal design to the cohorts, meaning that children are measured at broader age ranges (3-year age ranges) at each wave. The main benefit of the flexible age design is that it provides more detailed information on the neurodevelopmental curves over time.

An extensive data set is generated, including 3D-ultrasound sweeps of the fetal brain, eye tracking, EEG, (f)MRI, computer tasks, cognitive measurements and parent-child observations. We also collect a broad range of questionnaires on behavior, personality, health, lifestyle, parenting, child development, use of (social) media and more. Finally, (umbilical) blood samples, buccal swabs, saliva and hair samples are collected at each visit, and stored in the UMC Utrecht Biobank.
description: The NEO Personality Inventory (NEO) is a personality inventory that assesess different dimensions of personality. Most versions focus on the Big Five personality traits Neuroticism, Emotional Stability, Extraversion, Openness to Experience, Agreeableness, and Conscientiousness. Different versions are available that differ in number of items and sub scales.
description: YOUth used the NEO-Five Factor Inventory-3 (NEO-FFI-3) to assess personality, which includes 60 items that contain 12 items from each scale of the full 180-item NEO Personality Inventory (NEO-PI).
DOI: 10.60641/4scp-cv82
title: Lifestyle

description: YOUth is a large-scale longitudinal cohort study following children from the city of Utrecht and its surrounding areas in their development from pregnancy until early adulthood. The YOUth cohort focuses on neurocognitive development involved in two core characteristics of behavioral development: social competence and behavioral control. YOUth includes children from the general population to cover the whole range of variation in behavioral development, ranging from uncomplicated development, through problem behavior, to psychiatric disorders. To understand why some children develop problematic behavior, and others show resilience, YOUth measures a broad range of biological, child-related and environmental determinants.

YOUth conducts repeated measurements at regular intervals (i.e. 'waves'). Specifically, the study has two inclusion moments: YOUth Baby & Child and YOUth Child & Adolescent. YOUth applies a flexible longitudinal design to the cohorts, meaning that children are measured at broader age ranges (3-year age ranges) at each wave. The main benefit of the flexible age design is that it provides more detailed information on the neurodevelopmental curves over time.

An extensive data set is generated, including 3D-ultrasound sweeps of the fetal brain, eye tracking, EEG, (f)MRI, computer tasks, cognitive measurements and parent-child observations. We also collect a broad range of questionnaires on behavior, personality, health, lifestyle, parenting, child development, use of (social) media and more. Finally, (umbilical) blood samples, buccal swabs, saliva and hair samples are collected at each visit, and stored in the UMC Utrecht Biobank.
description: Lifestyle was assessed concerning vitamins, medication, exposure during pregnancy, alcohol, smoking, substance (ab)use, physical activity, and sleep (Pittsburgh Sleep Quality Index).
DOI: 10.60641/yfqp-4d76
title: Media education

description: YOUth is a large-scale longitudinal cohort study following children from the city of Utrecht and its surrounding areas in their development from pregnancy until early adulthood. The YOUth cohort focuses on neurocognitive development involved in two core characteristics of behavioral development: social competence and behavioral control. YOUth includes children from the general population to cover the whole range of variation in behavioral development, ranging from uncomplicated development, through problem behavior, to psychiatric disorders. To understand why some children develop problematic behavior, and others show resilience, YOUth measures a broad range of biological, child-related and environmental determinants.

YOUth conducts repeated measurements at regular intervals (i.e. 'waves'). Specifically, the study has two inclusion moments: YOUth Baby & Child and YOUth Child & Adolescent. YOUth applies a flexible longitudinal design to the cohorts, meaning that children are measured at broader age ranges (3-year age ranges) at each wave. The main benefit of the flexible age design is that it provides more detailed information on the neurodevelopmental curves over time.

An extensive data set is generated, including 3D-ultrasound sweeps of the fetal brain, eye tracking, EEG, (f)MRI, computer tasks, cognitive measurements and parent-child observations. We also collect a broad range of questionnaires on behavior, personality, health, lifestyle, parenting, child development, use of (social) media and more. Finally, (umbilical) blood samples, buccal swabs, saliva and hair samples are collected at each visit, and stored in the UMC Utrecht Biobank.
description: Media education assesses how parents educate their children about the use of (social) media and how they mediate the use of (social) media of their children, such as denying them to watch certain tv series or films, telling them to limit their gaming time, or talking with them about the effects and risks of using the internet.
description: In YOUth, this questionnaire was included from 2018-04-05 onwards.
DOI: 10.60641/2z47-4966
title: Parental Monitoring Questionnaire

description: YOUth is a large-scale longitudinal cohort study following children from the city of Utrecht and its surrounding areas in their development from pregnancy until early adulthood. The YOUth cohort focuses on neurocognitive development involved in two core characteristics of behavioral development: social competence and behavioral control. YOUth includes children from the general population to cover the whole range of variation in behavioral development, ranging from uncomplicated development, through problem behavior, to psychiatric disorders. To understand why some children develop problematic behavior, and others show resilience, YOUth measures a broad range of biological, child-related and environmental determinants.

YOUth conducts repeated measurements at regular intervals (i.e. 'waves'). Specifically, the study has two inclusion moments: YOUth Baby & Child and YOUth Child & Adolescent. YOUth applies a flexible longitudinal design to the cohorts, meaning that children are measured at broader age ranges (3-year age ranges) at each wave. The main benefit of the flexible age design is that it provides more detailed information on the neurodevelopmental curves over time.

An extensive data set is generated, including 3D-ultrasound sweeps of the fetal brain, eye tracking, EEG, (f)MRI, computer tasks, cognitive measurements and parent-child observations. We also collect a broad range of questionnaires on behavior, personality, health, lifestyle, parenting, child development, use of (social) media and more. Finally, (umbilical) blood samples, buccal swabs, saliva and hair samples are collected at each visit, and stored in the UMC Utrecht Biobank.
description: The Parental Monitoring Questionnaire (Vragenlijst Toezicht Houden) assesses a parent's monitoring activities of their child, for example asking whether the parent knows their child's friends, school grades and money expenditures.