cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0991315.09fu
title: SH0991315.09FU

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/sh0991316.09fu
title: SH0991316.09FU

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: 10.5281/zenodo.6547037
title: Additional Material for Paper: IT Managers' Perspective on Technical Debt Management

description: This is the additional material for the Paper "IT Managers’ Perspective on Technical Debt Management" submitted to ECSA2022. The folder contains the following files: Consent form - blinded.pdf:<br> The consent form was used to gather the participants' consent to participate in this study. PreliminarySurvey.pdf:<br> The survey was sent to all participants in advance to gather basic statistical data. ParticipantsOverview.pdf<br> The overview of all participants was extracted from the preliminary survey. For anonymity reasons, we can not provide the country/language of the participants. InterviewGuide.pdf<br> The interview guide was followed by the interviewers, including all questions and the rationale for questions added before the 2nd iteration. CodeSystem.xlsx<br> All Codes were gathered from the interviews with a short explanation (in Excel to use the grouping function for a better overview). AnalyticMemos_Themes.pdf<br> All free memos were created during the study including all themes that led to the main concerns described in the paper. Focusgroup-discussion_Themes_slides.pdf<br> The slides were created for the focus group discussion. The participants were introduced to the "main concerns" and asked to comment on these findings. V4C_model.drawio<br> This is the original drawio file of our V4C model including all diagrams from the paper. Additionally, we provide the complete version of the visibility diagram, which had to be reduced in the paper due to the page limitation. Also, the file contains one more diagram with an example of usage V4Cmodel.pdf, V4Cmodel_example.pdf, VisibilityOfCausesConsequences.pdf<br> All diagrams of the paper are in single PDF files.
DOI: 10.5281/zenodo.6554307
title: Additional Material for Paper: IT Managers' Perspective on Technical Debt Management

description: This is the additional material for the Paper "IT Managers’ Perspective on Technical Debt Management" submitted to ECSA2022. The folder contains the following files: Consent form - blinded.pdf:<br> The consent form was used to gather the participants' consent to participate in this study. PreliminarySurvey.pdf:<br> The survey was sent to all participants in advance to gather basic statistical data. ParticipantsOverview.pdf<br> The overview of all participants was extracted from the preliminary survey. For anonymity reasons, we can not provide the country/language of the participants. InterviewGuide.pdf<br> The interview guide was followed by the interviewers, including all questions and the rationale for questions added before the 2nd iteration. CodeSystem.xlsx<br> All Codes were gathered from the interviews with a short explanation (in Excel to use the grouping function for a better overview). AnalyticMemos_Themes.pdf<br> All free memos were created during the study including all themes that led to the main concerns described in the paper. Focusgroup-discussion_Themes_slides.pdf<br> The slides were created for the focus group discussion. The participants were introduced to the "main concerns" and asked to comment on these findings. V4C_model.drawio<br> This is the original drawio file of our V4C model including all diagrams from the paper. Additionally, we provide the complete version of the visibility diagram, which had to be reduced in the paper due to the page limitation. Also, the file contains one more diagram with an example of usage V4Cmodel.pdf, V4Cmodel_example.pdf, VisibilityOfCausesConsequences.pdf<br> All diagrams of the paper are in single PDF files.
DOI: 10.5281/zenodo.7153089
title: Additional Material for Paper: IT Managers' Perspective on Technical Debt Management

description: This is the additional material for the Paper "IT Managers’ Perspective on Technical Debt Management" submitted to the Journal of Systems and Software. The folder contains the following files: Consent form - blinded.pdf:<br> The consent form was used to gather the participants' consent to participate in this study. PreliminarySurvey.pdf:<br> The survey was sent to all participants in advance to gather basic statistical data. ParticipantsOverview.pdf<br> The overview of all participants was extracted from the preliminary survey. For anonymity reasons, we can not provide the country/language of the participants. InterviewGuide.pdf<br> The interview guide was followed by the interviewers, including all questions and the rationale for questions added before the 2nd iteration. CodeSystem.xlsx<br> All Codes were gathered from the interviews with a short explanation (in Excel to use the grouping function for a better overview). AnalyticMemos_Themes.pdf<br> All free memos were created during the study, including all themes that led to the main concerns described in the paper. Focusgroup-discussion_Themes_slides.pdf<br> The slides were created for the focus group discussion. The participants were introduced to the "main concerns" and asked to comment on these findings. V4C_model.drawio<br> This is the original drawio file of our V4C model, including all diagrams from the paper. Additionally, we provide the complete version of the visibility diagram, which had to be reduced in the paper due to the page limitation. Also, the file contains one more diagram with another example of the model's usage. V4Cmodel.pdf, V4Cmodel_example.pdf, VisibilityOfCausesConsequences.pdf; VisibilityCycles.pdf<br> All diagrams of the paper are in single PDF files. V4CTDmodel+example.pptx<br> A short presentation of the model and an example of its usage in PowerPoint format to immediately use.
DOI: 10.5281/zenodo.7436973
title: Additional Material for Paper: IT Managers' Perspective on Technical Debt Management

description: This is the additional material for the Paper "IT Managers’ Perspective on Technical Debt Management" submitted to the Journal of Systems and Software. The folder contains the following files: Consent form - blinded.pdf:<br> The consent form was used to gather the participants' consent to participate in this study. PreliminarySurvey.pdf:<br> The survey was sent to all participants in advance to gather basic statistical data. ParticipantsOverview.pdf<br> The overview of all participants was extracted from the preliminary survey. For anonymity reasons, we can not provide the country/language of the participants. InterviewGuide.pdf<br> The interview guide was followed by the interviewers, including all questions and the rationale for questions added before the 2nd iteration. CodeSystem.xlsx<br> All Codes were gathered from the interviews with a short explanation (in Excel to use the grouping function for a better overview). AnalyticMemos_Themes.pdf<br> All free memos were created during the study, including all themes that led to the main concerns described in the paper. Focusgroup-discussion_Themes_slides.pdf<br> The slides were created for the focus group discussion. The participants were introduced to the "main concerns" and asked to comment on these findings. V4C_model.drawio<br> This is the original drawio file of our V4C model, including all diagrams from the paper. Additionally, we provide the complete version of the visibility diagram, which had to be reduced in the paper due to the page limitation. Also, the file contains one more diagram with another example of the model's usage. V4Cmodel.pdf, V4Cmodel_example.pdf, VisibilityOfCausesConsequences.pdf; VisibilityCycles.pdf<br> All diagrams of the paper are in single PDF files. V4CTDmodel+example.pptx<br> A short presentation of the model and an example of its usage in PowerPoint format to immediately use.
DOI: 10.5281/zenodo.6547036
title: Additional Material for Paper: IT Managers' Perspective on Technical Debt Management

description: This is the additional material for the Paper "IT Managers’ Perspective on Technical Debt Management" submitted to the Journal of Systems and Software. The folder contains the following files: Consent form - blinded.pdf / Consent form.pdf:<br> The consent form was used to gather the participants' consent to participate in this study. PreliminarySurvey.pdf:<br> The survey was sent to all participants in advance to gather basic statistical data. ParticipantsOverview.pdf / ParticipantsOverview.xslx<br> The overview of all participants was extracted from the preliminary survey. For anonymity reasons, we can not provide the country/language of the participants. InterviewGuide.pdf<br> The interview guide was followed by the interviewers, including all questions and the rationale for questions added before the 2nd iteration. CodeSystem.xlsx<br> All Codes were gathered from the interviews with a short explanation (in Excel to use the grouping function for a better overview). AnalyticMemos_Themes.pdf<br> All free memos were created during the study, including all themes that led to the main concerns described in the paper. Focusgroup-discussion_Themes_slides.pdf<br> The slides were created for the focus group discussion. The participants were introduced to the "main concerns" and asked to comment on these findings. V4C_model.drawio<br> This is the original drawio file of our V4C model, including all diagrams from the paper. Additionally, we provide the complete version of the visibility diagram, which had to be reduced in the paper due to the page limitation. Also, the file contains one more diagram with another example of the model's usage. V4Cmodel.pdf, V4Cmodel_example.pdf, VisibilityOfCausesConsequences.pdf; VisibilityCycles.pdf<br> All diagrams of the paper are in single PDF files. V4CTDmodel+example.pptx<br> A short presentation of the model and an example of its usage in PowerPoint format to immediately use.
DOI: 10.5281/zenodo.7803013
title: Additional Material for Paper: IT Managers' Perspective on Technical Debt Management

description: This is the additional material for the Paper "IT Managers’ Perspective on Technical Debt Management" submitted to the Journal of Systems and Software. The folder contains the following files: Consent form - blinded.pdf / Consent form.pdf:<br> The consent form was used to gather the participants' consent to participate in this study. PreliminarySurvey.pdf:<br> The survey was sent to all participants in advance to gather basic statistical data. ParticipantsOverview.pdf / ParticipantsOverview.xslx<br> The overview of all participants was extracted from the preliminary survey. For anonymity reasons, we can not provide the country/language of the participants. InterviewGuide.pdf<br> The interview guide was followed by the interviewers, including all questions and the rationale for questions added before the 2nd iteration. CodeSystem.xlsx<br> All Codes were gathered from the interviews with a short explanation (in Excel to use the grouping function for a better overview). AnalyticMemos_Themes.pdf<br> All free memos were created during the study, including all themes that led to the main concerns described in the paper. Focusgroup-discussion_Themes_slides.pdf<br> The slides were created for the focus group discussion. The participants were introduced to the "main concerns" and asked to comment on these findings. V4C_model.drawio<br> This is the original drawio file of our V4C model, including all diagrams from the paper. Additionally, we provide the complete version of the visibility diagram, which had to be reduced in the paper due to the page limitation. Also, the file contains one more diagram with another example of the model's usage. V4Cmodel.pdf, V4Cmodel_example.pdf, VisibilityOfCausesConsequences.pdf; VisibilityCycles.pdf<br> All diagrams of the paper are in single PDF files. V4CTDmodel+example.pptx<br> A short presentation of the model and an example of its usage in PowerPoint format to immediately use.
DOI: 10.15156/bio/sh0991317.09fu
title: SH0991317.09FU

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/sh0991318.09fu
title: SH0991318.09FU

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/sh0991319.09fu
title: SH0991319.09FU

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/sh0991320.09fu
title: SH0991320.09FU

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/sh0991321.09fu
title: SH0991321.09FU

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/sh0991322.09fu
title: SH0991322.09FU

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/sh0991323.09fu
title: SH0991323.09FU

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/sh0991324.09fu
title: SH0991324.09FU

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.