cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1200610.10fu
title: SH1200610.10FU

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/sh1200614.10fu
title: SH1200614.10FU

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/sh1200616.10fu
title: SH1200616.10FU

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/sh1200621.10fu
title: SH1200621.10FU

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/sh1200623.10fu
title: SH1200623.10FU

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/sh1200624.10fu
title: SH1200624.10FU

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: 10.25549/inscriptifact-ouc112035015
title: Cuneiform Tablet 1913.14.1676, Spurlock 1913.14.1676

description: [Text Description:] Administrative tablet ❧ [Text or Publication Number Note:] Spurlock 1913.14.1676; CDLI P421527 ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Dark Gray (N 3.75/ 10.4% R) Brownish Pink (5YR 8/2) Yellowish Gray (10YR 8.5/2) ❧ [Physical Object Note:] 9.3 x 8.8 x 3.2 cm (202 g)
DOI: 10.15468/dl.mrw8qh
title: Occurrence Download

description: A dataset containing 1780 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hypochaeris cretensis (L.) Bory & Chaub."
 ]
}

 The dataset includes 1780 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0251125-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.my53jg
title: Occurrence Download

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Sclerophylax arnottii Miers"
 ]
}

 The dataset includes 48 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001185-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc112034888
title: Cuneiform Tablet 1913.14.1676, Spurlock 1913.14.1676

description: [Text Description:] Administrative tablet ❧ [Text or Publication Number Note:] Spurlock 1913.14.1676; CDLI P421527 ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Dark Gray (N 3.75/ 10.4% R) Brownish Pink (5YR 8/2) Yellowish Gray (10YR 8.5/2) ❧ [Physical Object Note:] 9.3 x 8.8 x 3.2 cm (202 g)
DOI: 10.15468/dl.gk67pn
title: Occurrence Download

description: A dataset containing 56114 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hypochaeris glabra L."
 ]
}

 The dataset includes 56114 records from 629 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0251140-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9kpqu3
title: Occurrence Download

description: A dataset containing 630 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((60.90408 -10.51365,161.91024 -10.51365,161.91024 63.63043,60.90408 63.63043,60.90408 -10.51365))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Ziziphus mauritiana Lam."
 ]
}

 The dataset includes 630 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0228688-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gvz8v2
title: Occurrence Download

description: A dataset containing 105 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Geometry POLYGON((-80.53681 5.18605,-71.46319 5.18605,-71.46319 8.81395,-80.53681 8.81395,-80.53681 5.18605))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Andinobates opisthomelas (Boulenger, 1899)",
 "Year 2016-2022"
 ]
}

 The dataset includes 105 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058355-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc112034979
title: Cuneiform Tablet 1913.14.1676, Spurlock 1913.14.1676

description: [Text Description:] Administrative tablet ❧ [Text or Publication Number Note:] Spurlock 1913.14.1676; CDLI P421527 ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Dark Gray (N 3.75/ 10.4% R) Brownish Pink (5YR 8/2) Yellowish Gray (10YR 8.5/2) ❧ [Physical Object Note:] 9.3 x 8.8 x 3.2 cm (202 g)
DOI: 10.15468/dl.k258k6
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Musophagiformes",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0255526-220831081235567/datasets/export for details.
DOI: 10.15468/dl.rkyrwv
title: Occurrence Download

description: A dataset containing 11361 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "GadmGid is BRA.25.607_2",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 1992-2022"
 ]
}

 The dataset includes 11361 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0243790-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc112034980
title: Cuneiform Tablet 1913.14.1676, Spurlock 1913.14.1676

description: [Text Description:] Administrative tablet ❧ [Text or Publication Number Note:] Spurlock 1913.14.1676; CDLI P421527 ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Dark Gray (N 3.75/ 10.4% R) Brownish Pink (5YR 8/2) Yellowish Gray (10YR 8.5/2) ❧ [Physical Object Note:] 9.3 x 8.8 x 3.2 cm (202 g)
DOI: 10.15468/dl.4hamty
title: Occurrence Download

description: A dataset containing 3251 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cobaea Cav."
 ]
}

 The dataset includes 3251 records from 241 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0251159-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rhkkg6
title: Occurrence Download

description: A dataset containing 400700 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Cuscuta campestris Yunck., Cuscuta chinensis Lam., Cuscuta epilinum Weihe, Cuscuta europaea L., Cuscuta japonica Choisy, Cuscuta lehmanniana Bunge, Cuscuta monogyna Vahl, Cuscuta pentagona Engelm., Cuscuta scandens Brot., Cuscuta tinei Inzenga, Cyanthillium cinereum (L.) H.Rob., Cyathea cooperi (F.Muell.) Domin, Cyathula prostrata (L.) Blume, Cyclachaena xanthiifolia (Nutt.) Fresen., Cyclamen hederifolium Aiton, Cyclanthera carthagenensis (Jacq.) H.Schaef. & S.S.Renner, Cycloloma atriplicifolium (Spreng.) J.M.Coult., Cyclospermum leptophyllum (Pers.) Sprague, Cydonia oblonga Mill., Cylindropuntia fulgida (Engelm.) F.M.Knuth, Cylindropuntia imbricata (Haw.) F.M.Knuth, Cylindropuntia kleiniae (DC.) F.M.Knuth, Cylindropuntia leptocaulis (DC.) F.M.Knuth, Cylindropuntia pallida (Rose) F.M.Knuth, Cylindropuntia prolifera (Engelm.) F.M.Knuth, Cylindropuntia ramosissima (Engelm.) F.M.Knuth, Cylindropuntia spinosior (Engelm.) F.M.Knuth, Cylindropuntia tunicata (Lehm.) F.M.Knuth, Cymbalaria muralis G.Gaertn., B.Mey. & Scherb., Cymbopogon citratus (DC.) Stapf)"
 ]
}

 The dataset includes 400700 records from 1807 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001184-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14238767
title: A Comprehensive Review of Techniques, Methods, Processes, Frameworks, and Tools for Privacy Requirements

description:  Context: Requirements Engineering (RE) relies on the collaboration of various roles—such as requirements engineers, stakeholders, and developers—and various techniques, methods, processes, frameworks, and tools. This makes RE a highly human-dependent process that benefits greatly from tool support. Understanding how these techniques, methods, processes, frameworks, and tools are applied across RE phases could provide valuable insights into ways to enhance the RE process, contributing to more successful outcomes. Objective: The primary objective of this study is to identify the techniques, methods, processes, frameworks, and tools applied across different requirements engineering phases—such as elicitation, analysis, specification, validation, and management—to address privacy requirements. Method: We conducted a systematic literature review (SLR) and identified 125 primary studies, and we also conducted a survey with 30 practitioners. Results: Our review identified a range of techniques, methods, processes, frameworks, and tools for addressing privacy requirements. Most studies were conducted in academic contexts, with the most frequently used tools being: PriS Method, Secure Tropos, LINDDUN, i* (i-star), STRAP (Structured Analysis for Privacy), Privacy by Design (PbD), and SQUARE. Additionally, over 75% of the studies applied these tools in the privacy requirements elicitation phase. In the industry, most of the techniques identified in the literature are not known or used by practitioners. Conclusion: This study provides a comprehensive analysis of techniques and tools for privacy requirements in RE, revealing a strong focus on academic contexts with limited industry application. Future research should explore the scalability and effectiveness of these tools in real-world environments, as well as the reasons why practitioners do not use them.
DOI: 10.5281/zenodo.14250625
title: A Comprehensive Review of Techniques, Methods, Processes, Frameworks, and Tools for Privacy Requirements

description:  Context: Requirements Engineering (RE) relies on the collaboration of various roles—such as requirements engineers, stakeholders, and developers—and various techniques, methods, processes, frameworks, and tools. This makes RE a highly human-dependent process that benefits greatly from tool support. Understanding how these techniques, methods, processes, frameworks, and tools are applied across RE phases could provide valuable insights into ways to enhance the RE process, contributing to more successful outcomes. Objective: The primary objective of this study is to identify the techniques, methods, processes, frameworks, and tools applied across different requirements engineering phases—such as elicitation, analysis, specification, validation, and management—to address privacy requirements. Method: We conducted a systematic literature review (SLR) and identified 125 primary studies, and we also conducted a survey with 30 practitioners. Results: Our review identified a range of techniques, methods, processes, frameworks, and tools for addressing privacy requirements. Most studies were conducted in academic contexts, with the most frequently used tools being: PriS Method, Secure Tropos, LINDDUN, i* (i-star), STRAP (Structured Analysis for Privacy), Privacy by Design (PbD), and SQUARE. Additionally, over 75% of the studies applied these tools in the privacy requirements elicitation phase. In the industry, most of the techniques identified in the literature are not known or used by practitioners. Conclusion: This study provides a comprehensive analysis of techniques and tools for privacy requirements in RE, revealing a strong focus on academic contexts with limited industry application. Future research should explore the scalability and effectiveness of these tools in real-world environments, as well as the reasons why practitioners do not use them.
DOI: 10.5281/zenodo.15170789
title: A Comprehensive Review of Techniques, Methods, Processes, Frameworks, and Tools for Privacy Requirements

description:  Context: Requirements Engineering (RE) relies on the collaboration of various roles—such as requirements engineers, stakeholders, and developers—and various techniques, methods, processes, frameworks, and tools. This makes RE a highly human-dependent process that benefits greatly from tool support. Understanding how these techniques, methods, processes, frameworks, and tools are applied across RE phases could provide valuable insights into ways to enhance the RE process, contributing to more successful outcomes. Objective: The primary objective of this study is to identify the techniques, methods, processes, frameworks, and tools applied across different requirements engineering phases—such as elicitation, analysis, specification, validation, and management—to address privacy requirements. Method: We conducted a systematic literature review (SLR) and identified 125 primary studies, and we also conducted a survey with 37 practitioners. Results: Our review identified a range of techniques, methods, processes, frameworks, and tools for addressing privacy requirements. Most studies were conducted in academic contexts, with the most frequently used tools being: PriS Method, Secure Tropos, LINDDUN, i* (i-star), STRAP (Structured Analysis for Privacy), Privacy by Design (PbD), and SQUARE. Additionally, over 75% of the studies applied these tools in the privacy requirements elicitation phase. In the industry, most of the techniques identified in the literature are not known or used by practitioners. Conclusion: This study provides a comprehensive analysis of techniques and tools for privacy requirements in RE, revealing a strong focus on academic contexts with limited industry application. Future research should explore the scalability and effectiveness of these tools in real-world environments, as well as the reasons why practitioners do not use them.
DOI: 10.5281/zenodo.15185920
title: A Comprehensive Review of Techniques, Methods, Processes, Frameworks, and Tools for Privacy Requirements

description:  Context: Requirements Engineering (RE) relies on the collaboration of various roles—such as requirements engineers, stakeholders, and developers—and various techniques, methods, processes, frameworks, and tools. This makes RE a highly human-dependent process that benefits greatly from tool support. Understanding how these techniques, methods, processes, frameworks, and tools are applied across RE phases could provide valuable insights into ways to enhance the RE process, contributing to more successful outcomes. Objective: The primary objective of this study is to identify the techniques, methods, processes, frameworks, and tools applied across different requirements engineering phases—such as elicitation, analysis, specification, validation, and management—to address privacy requirements. Method: We conducted a systematic literature review (SLR) and identified 125 primary studies, and we also conducted a survey with 37 practitioners. Results: Our review identified a range of techniques, methods, processes, frameworks, and tools for addressing privacy requirements. Most studies were conducted in academic contexts, with the most frequently used tools being: PriS Method, Secure Tropos, LINDDUN, i* (i-star), STRAP (Structured Analysis for Privacy), Privacy by Design (PbD), and SQUARE. Additionally, over 75% of the studies applied these tools in the privacy requirements elicitation phase. In the industry, most of the techniques identified in the literature are not known or used by practitioners. Conclusion: This study provides a comprehensive analysis of techniques and tools for privacy requirements in RE, revealing a strong focus on academic contexts with limited industry application. Future research should explore the scalability and effectiveness of these tools in real-world environments, as well as the reasons why practitioners do not use them.