cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1108037.10fu
title: SH1108037.10FU

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/sh1108039.10fu
title: SH1108039.10FU

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/sh1108042.10fu
title: SH1108042.10FU

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/sh1108043.10fu
title: SH1108043.10FU

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/sh1108044.10fu
title: SH1108044.10FU

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/sh1108045.10fu
title: SH1108045.10FU

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/sh1108046.10fu
title: SH1108046.10FU

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/sh1108048.10fu
title: SH1108048.10FU

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/sh1108049.10fu
title: SH1108049.10FU

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: 10.25504/fairsharing.dbb813
title: FAIRsharing record for: A linked data (RDF) representation of the Soil Physical Measurements and Interpretation for Land Evaluation Handbook. 
title: SPM

description: This FAIRsharing record describes:  A Concept Scheme for procedures and valid result codes (enumerations) sourced from Soil Physical Measurements and Interpretation for Land Evaluation Neil McKenzie, Kep Coughlan and Hamish Cresswell, CSIRO Publishing 2022. 
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.1126b5
title: FAIRsharing record for: Australian Soil Classification
title: ASC

description: This FAIRsharing record describes:  The Australian Soil Classification (3rd edn 2021) provides a framework for organising knowledge about Australian soils by allocating soils to classes via a key. 
Notes - The data was converted from the ePub representation to this 'linked-data' format by  Simon J D Cox   https://orcid.org/0000-0002-3884-3420
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.15468/dl.2a2hkq
title: Occurrence Download

description: A dataset containing 8753 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (Asia, Africa)",
 "Country is one of (South Africa, India, Malawi, Philippines, Tanzania, United Republic of, Zimbabwe, Mozambique, Kenya, Uganda)",
 "PublishingOrg is one of (bb646dff-a905-4403-a49b-6d378c2cf0d9, 1928bdf0-f5d2-11dc-8c12-b8a03c50a862, bc092ff0-02e4-11dc-991f-b8a03c50a862, c8d737e0-2ff8-42e8-b8fc-6b805d26fc5f, b554c320-0560-11d8-b851-b8a03c50a862, c5f7ef70-e233-11d9-a4d6-b8a03c50a862, 396d5f30-dea9-11db-8ab4-b8a03c50a862, ff90b050-c256-11db-b71b-b8a03c50a862, 74249eb0-0df2-48dd-96a6-be8770eb175b)",
 "TaxonKey is Xylocopa Latreille, 1802"
 ]
}

 The dataset includes 8753 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027972-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25504/fairsharing.73122f
title: FAIRsharing record for: ASLS Substrate classifiers
title: null

description: This FAIRsharing record describes:  Classifiers described in chapter 9 Substrate, by R.C. McDonald and R.F. Isbell, in Australian Soil and Land Survey Field Handbook (3rd edn)

This vocabulary deals with materials and masses of earth or rock that do not show pedological development. They are not soils, but typically underlie them.

The data was converted from the print representation to this linked-data form by Linda Gregory assisted by Simon J D Cox
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.e9efac
title: FAIRsharing record for: ASLS Vegetation classifiers
title: ASLS-vegetation

description: This FAIRsharing record describes:  Classifiers described in chapter 6 Vegetation, by R.J. Hnatiuk, R. Thackway and J. Walker in Australian Soil and Land Survey Field Handbook (3rd edn). 
The data was converted from the print representation to this linked-data form by    Simon J D Cox https://orcid.org/0000-0002-3884-3420
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.14469/hpc/12833
title: IXylPy·HBr: 1-(3,5-Dimethylphenyl)-3-pyridyl-imidazolium bromide

description: NMR data for IXylPy·HBr
DOI: 10.14469/hpc/12834
title: IPrPy4CF3·HBr: 1-(2,6-Diisopropylphenyl)-3-(5-trifluoromethyl-2-pyridyl)imidazolium bromide

description: NMR data for IPrPy4CF3·HBr
DOI: 10.14469/hpc/12835
title: IMesPy4CF3·HBr: 1-(2,4,6-Trimethylphenyl)-3-[2-(5-trifluoromethyl)pyridyl]imidazolium bromide

description: NMR data for IMesPy4CF3·HBr
DOI: 10.14469/hpc/12836
title: IXylPy4CF3·HBr: 1-(3,5-Dimethylphenyl)-3-[2-(5-trifluoromethyl)pyridyl]imidazolium bromide

description: NMR data for IXylPy4CF3·HBr
DOI: 10.14469/hpc/12837
title: IPrPy4Me·HBr: 1-(2,6-Diisopropylphenyl)-3-(5-methyl-2-pyridyl)imidazolium bromide

description: NMR data for IPrPy4Me·HBr:
DOI: 10.14469/hpc/12838
title: IMesPy4CN·HBr: 1-(2,4,6-Trimethylphenyl)-3-(5-cyano-2-pyridyl)imidazolium bromide

description: NMR data for IMesPy4CN·HBr
DOI: 10.14469/hpc/12839
title: IMesPy3,5Me·HBr: 1-(2,4,6-Trimethylphenyl)-3-(2-(4,6-dimethyl)pyridyl)imidazolium bromide

description: NMR data for IMesPy3,5Me·HBr
DOI: 10.14469/hpc/12840
title: IMesiQu·HBr: 1-(2,4,6-Trimethylphenyl)-3-(isoquinolyl)imidazolium bromide

description: NMR data for IMesiQu·HBr
DOI: 10.14469/hpc/12841
title: IMesPm·HBr: 1-(2,4,6-Trimethylphenyl)-3-(2-pyrimidyl)imidazolium bromide

description: NMr data for IMesPm·HBr
DOI: 10.14469/hpc/12842
title: SIPrPy·HCl: 1-(2,6-Diisopropylphenyl)-3-(2-pyridyl)-1H-imidazolinium chloride

description: NMR data for SIPrPy·HCl
DOI: 10.14469/hpc/12844
title: IMesPy4CF3·HI: 1-(2,4,6-Trimethylphenyl)-3-[2-(5-trifluoromethyl)pyridyl]imidazolium bromide

description: NMR data for IMesPy4CF3·HI
DOI: 10.14469/hpc/12845
title: IMesPy4CF3·HBF4: 1-(2,4,6-Trimethylphenyl)-3-[2-(5-trifluoromethyl)pyridyl]imidazolium tetrafluoroborate

description: NMR data for IMesPy4CF3·HBF4
DOI: 10.14469/hpc/12847
title: [AgBr(IMesPy4CF3)]

description: NMR data for [AgBr(IMesPy4CF3)]: [1-Mesityl-3-(2-(5-trifluoromethyl)pyridyl)imidazol-2-ylidene]silver(I) bromide
DOI: 10.14469/hpc/12848
title: [CuBr(IMesPy4CF3)]

description: NMR data for [CuBr(IMesPy4CF3)]: [1-Mesityl-3-(5-trifluoromethyl)pyridyl)imidazol-2-ylidene]copper(I) bromide
DOI: 10.6084/m9.figshare.26879443
title: Factorial validity and norms of the German and British-English online Conflict Monitoring Questionnaire

description: This study investigates individual differences of conflict monitoring as a personality trait in checking or adaption modes if information is incompatible or unexpected. In every-day life, individual differences of monitoring comprise stimulus comparison, stimulus evaluation and preparation of adjusted behavior or decisions under uncertainty of consequences. By integrating principles of facet theory and predictions on two neurobiological accounts study aims for the online Conflict Monitoring Questionnaire (CMQ) were four-fold: (1) Psychometric properties of the online CMQ are presented in a German and a British sample. (2) Cross-cultural factorial validity of the online CMQ, (3) results of measurement equivalence and (4) norms for the online CMQ are reported. In a sample of <i>N</i> = 890 participants comprising <i>n</i> = 447 German and <i>n</i> = 443 British participants, (1) part-whole corrected item-total correlations comprised a corresponding subset of 37 items in both samples. (2) Superior model fit was observed in a confirmatory factor analysis for a bifactor model compared to a four-factor primary-order model. (3) A Multiple-Indicator-Multiple-Cause (MIMIC) model suggested measurement variance for gender, language and age groups depending on the latent factors of the CMQ-37, but also evidence of measurement invariance. (4) Stanine and T norms are reported for the whole sample as well as for language groups and gender. The present psychometric data illustrate that self-reported individual differences of conflict monitoring differ across language groups. Thus, the personality differences of the CMQ-37 scales are described in terms of emic (i.e. culture-specific) and etic (i.e. culture-generalizing) effects.
DOI: 10.6084/m9.figshare.26879443.v1
title: Factorial validity and norms of the German and British-English online Conflict Monitoring Questionnaire

description: This study investigates individual differences of conflict monitoring as a personality trait in checking or adaption modes if information is incompatible or unexpected. In every-day life, individual differences of monitoring comprise stimulus comparison, stimulus evaluation and preparation of adjusted behavior or decisions under uncertainty of consequences. By integrating principles of facet theory and predictions on two neurobiological accounts study aims for the online Conflict Monitoring Questionnaire (CMQ) were four-fold: (1) Psychometric properties of the online CMQ are presented in a German and a British sample. (2) Cross-cultural factorial validity of the online CMQ, (3) results of measurement equivalence and (4) norms for the online CMQ are reported. In a sample of <i>N</i> = 890 participants comprising <i>n</i> = 447 German and <i>n</i> = 443 British participants, (1) part-whole corrected item-total correlations comprised a corresponding subset of 37 items in both samples. (2) Superior model fit was observed in a confirmatory factor analysis for a bifactor model compared to a four-factor primary-order model. (3) A Multiple-Indicator-Multiple-Cause (MIMIC) model suggested measurement variance for gender, language and age groups depending on the latent factors of the CMQ-37, but also evidence of measurement invariance. (4) Stanine and T norms are reported for the whole sample as well as for language groups and gender. The present psychometric data illustrate that self-reported individual differences of conflict monitoring differ across language groups. Thus, the personality differences of the CMQ-37 scales are described in terms of emic (i.e. culture-specific) and etic (i.e. culture-generalizing) effects.
DOI: 10.6084/m9.figshare.27186319
title: Half a century of research on suicide: a scientometric analysis of trends and knowledge maps with insights into recent patterns

description: Suicide is a major public health issue and research in the field is numerous, but its fragmented state has made it quite impractical to summarise the body of research through systematic reviews and meta-analyses. We propose up to date scientometric methods (Bibliometrix R-package and CiteSpace) to assess how research on suicide has evolved over the past decades and identify future topics of interest based on emerging trends since 2020. We also measure research performance and relevance in terms of studies, countries, institutions, and journals. A comprehensive search for relevant terms in the titles, abstracts, and keywords of the Web of Science Core Collection was conducted in February 2024. Our study compiled 689,004 citations of 33,305 references published from 1966 to 2023 (28,579 original articles, 3288 reviews, 1047 editorials, and 238 early access articles). Three major research trends were identified: biology of suicide, mood disorder and suicide, a clinical and genetic framework of suicide. Most influential studies, countries, institutions, and journals were identified. Finally, the latest research trends were singled out, such as non-suicidal self-injury in adolescents, gaps in suicidology in low-and-middle income countries, machine learning and new pharmacological treatments. With this study, we aspire to facilitate the work of research groups striving to develop collaborations and we hope to provide useful information for grant applicants, funding agencies, and policymakers.
DOI: 10.14469/hpc/12849
title: [CuI(IMesPy4CF3)]

description: NMR data for [CuI(IMesPy4CF3)]: [1-Mesityl-3-(5-trifluoromethyl)pyridyl)imidazol-2-ylidene]copper(I) iodide
DOI: 10.6084/m9.figshare.27186319.v1
title: Half a century of research on suicide: a scientometric analysis of trends and knowledge maps with insights into recent patterns

description: Suicide is a major public health issue and research in the field is numerous, but its fragmented state has made it quite impractical to summarise the body of research through systematic reviews and meta-analyses. We propose up to date scientometric methods (Bibliometrix R-package and CiteSpace) to assess how research on suicide has evolved over the past decades and identify future topics of interest based on emerging trends since 2020. We also measure research performance and relevance in terms of studies, countries, institutions, and journals. A comprehensive search for relevant terms in the titles, abstracts, and keywords of the Web of Science Core Collection was conducted in February 2024. Our study compiled 689,004 citations of 33,305 references published from 1966 to 2023 (28,579 original articles, 3288 reviews, 1047 editorials, and 238 early access articles). Three major research trends were identified: biology of suicide, mood disorder and suicide, a clinical and genetic framework of suicide. Most influential studies, countries, institutions, and journals were identified. Finally, the latest research trends were singled out, such as non-suicidal self-injury in adolescents, gaps in suicidology in low-and-middle income countries, machine learning and new pharmacological treatments. With this study, we aspire to facilitate the work of research groups striving to develop collaborations and we hope to provide useful information for grant applicants, funding agencies, and policymakers.
DOI: 10.14469/hpc/12920
title: [AgBr(NHC)]

description: Crystallographic data for [AgBr(IMesPy4CF3)] [1-Mesityl-3-(2-(5-trifluoromethyl)pyridyl)imidazol-2-ylidene]silver(I) bromide Internal reference from crystallografic service SDG1715