cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25592/dgs.corpus-1.0-type-76490
title: FÖRDERN3B^ (MEINE DGS – annotiert. Öffentliches Korpus der Deutschen Gebärdensprache, 1. Release)
title: TO-PROMOTE3B^ (MY DGS – annotated. Public Corpus of German Sign Language, 1st release)

description: Ein Type aus der Annotation von MEINEDGS mit allen seinen Tokens aus MEINEDGS: The Public DGS Corpus consists of more than 50 hours of video data from the DGS-Korpus project made available together with annotations for research purposes. In this project, data were collected all across Germany in the timeframe 2010-2012. The public corpus shows 330 informants in 4 different age groups (from 18 years on) from 13 different regions. All parts are conversations between two informants in German Sign Language (DGS). The majority of transcripts included cover discussions and reports on Deaf life and personal experiences, although there are examples of other tasks such as story retellings as well.<br>Transcripts are made available in iLex and ELAN format as well as in SRT subtitles format that can be imported in MaxQDA and other analysis tools, together with the mp4 video files in 360p50. Diese DOI identifiziert die Version 1.0 des Datensatzes.
description: A type from the annotation of MYDGS including all its tokens in MYDGS: Das Öffentliche DGS-Korpus besteht aus mehr als 50 Stunden Video aus dem Projekt DGS-Korpus, die zusammen mit Annotationen für Forschungszwecke zur Verfügung gestellt werden. Die Datenerhebung im Projekt fand im Zeitraum 2010-2012 in ganz Deutschland statt. Das öffentliche Korpus besteht aus Gesprächen jeweils zweier Informantinnen oder Informanten in Deutscher Gebärdensprache. Das Korpus umfasst 330 Informantinnen und Informanten in vier verschiedenen Altersgruppen (ab 18 Jahren) aus 13 verschiedenen Regionen. Der Schwerpunkt der Sammlung liegt auf Transkripten von Diskussionen und Berichten über das Leben Gehörloser sowie persönliche Erfahrungen, sie enthält aber auch Beispiele anderer Erhebungsformate wie Nacherzählungen.<br>Transkripte werden im iLex- und ELAN-Format sowie als SRT-Untertiteldateien (zum Import etwa in MaxQDA) zur Verfügung gestellt. Die zugehörigen MP4-Videodaten sind durchgängig im Format 360p50. This DOI identifies the version 1.0 of the dataset.
DOI: 10.25592/dgs.corpus-1.0-type-76514
title: REITEN-$KANDIDAT-MST23^ (MEINE DGS – annotiert. Öffentliches Korpus der Deutschen Gebärdensprache, 1. Release)
title: TO-RIDE-$CANDIDATE-MST23^ (MY DGS – annotated. Public Corpus of German Sign Language, 1st release)

description: Ein Type aus der Annotation von MEINEDGS mit allen seinen Tokens aus MEINEDGS: The Public DGS Corpus consists of more than 50 hours of video data from the DGS-Korpus project made available together with annotations for research purposes. In this project, data were collected all across Germany in the timeframe 2010-2012. The public corpus shows 330 informants in 4 different age groups (from 18 years on) from 13 different regions. All parts are conversations between two informants in German Sign Language (DGS). The majority of transcripts included cover discussions and reports on Deaf life and personal experiences, although there are examples of other tasks such as story retellings as well.<br>Transcripts are made available in iLex and ELAN format as well as in SRT subtitles format that can be imported in MaxQDA and other analysis tools, together with the mp4 video files in 360p50. Diese DOI identifiziert die Version 1.0 des Datensatzes.
description: A type from the annotation of MYDGS including all its tokens in MYDGS: Das Öffentliche DGS-Korpus besteht aus mehr als 50 Stunden Video aus dem Projekt DGS-Korpus, die zusammen mit Annotationen für Forschungszwecke zur Verfügung gestellt werden. Die Datenerhebung im Projekt fand im Zeitraum 2010-2012 in ganz Deutschland statt. Das öffentliche Korpus besteht aus Gesprächen jeweils zweier Informantinnen oder Informanten in Deutscher Gebärdensprache. Das Korpus umfasst 330 Informantinnen und Informanten in vier verschiedenen Altersgruppen (ab 18 Jahren) aus 13 verschiedenen Regionen. Der Schwerpunkt der Sammlung liegt auf Transkripten von Diskussionen und Berichten über das Leben Gehörloser sowie persönliche Erfahrungen, sie enthält aber auch Beispiele anderer Erhebungsformate wie Nacherzählungen.<br>Transkripte werden im iLex- und ELAN-Format sowie als SRT-Untertiteldateien (zum Import etwa in MaxQDA) zur Verfügung gestellt. Die zugehörigen MP4-Videodaten sind durchgängig im Format 360p50. This DOI identifies the version 1.0 of the dataset.
DOI: 10.25592/dgs.corpus-1.0-type-76526
title: MILCHFLASCHE1^ (MEINE DGS – annotiert. Öffentliches Korpus der Deutschen Gebärdensprache, 1. Release)
title: MILK-BOTTLE1^ (MY DGS – annotated. Public Corpus of German Sign Language, 1st release)

description: Ein Type aus der Annotation von MEINEDGS mit allen seinen Tokens aus MEINEDGS: The Public DGS Corpus consists of more than 50 hours of video data from the DGS-Korpus project made available together with annotations for research purposes. In this project, data were collected all across Germany in the timeframe 2010-2012. The public corpus shows 330 informants in 4 different age groups (from 18 years on) from 13 different regions. All parts are conversations between two informants in German Sign Language (DGS). The majority of transcripts included cover discussions and reports on Deaf life and personal experiences, although there are examples of other tasks such as story retellings as well.<br>Transcripts are made available in iLex and ELAN format as well as in SRT subtitles format that can be imported in MaxQDA and other analysis tools, together with the mp4 video files in 360p50. Diese DOI identifiziert die Version 1.0 des Datensatzes.
description: A type from the annotation of MYDGS including all its tokens in MYDGS: Das Öffentliche DGS-Korpus besteht aus mehr als 50 Stunden Video aus dem Projekt DGS-Korpus, die zusammen mit Annotationen für Forschungszwecke zur Verfügung gestellt werden. Die Datenerhebung im Projekt fand im Zeitraum 2010-2012 in ganz Deutschland statt. Das öffentliche Korpus besteht aus Gesprächen jeweils zweier Informantinnen oder Informanten in Deutscher Gebärdensprache. Das Korpus umfasst 330 Informantinnen und Informanten in vier verschiedenen Altersgruppen (ab 18 Jahren) aus 13 verschiedenen Regionen. Der Schwerpunkt der Sammlung liegt auf Transkripten von Diskussionen und Berichten über das Leben Gehörloser sowie persönliche Erfahrungen, sie enthält aber auch Beispiele anderer Erhebungsformate wie Nacherzählungen.<br>Transkripte werden im iLex- und ELAN-Format sowie als SRT-Untertiteldateien (zum Import etwa in MaxQDA) zur Verfügung gestellt. Die zugehörigen MP4-Videodaten sind durchgängig im Format 360p50. This DOI identifies the version 1.0 of the dataset.
DOI: 10.25592/dgs.corpus-1.0-type-76532
title: HUNGER2^ (MEINE DGS – annotiert. Öffentliches Korpus der Deutschen Gebärdensprache, 1. Release)
title: HUNGER2^ (MY DGS – annotated. Public Corpus of German Sign Language, 1st release)

description: Ein Type aus der Annotation von MEINEDGS mit allen seinen Tokens aus MEINEDGS: The Public DGS Corpus consists of more than 50 hours of video data from the DGS-Korpus project made available together with annotations for research purposes. In this project, data were collected all across Germany in the timeframe 2010-2012. The public corpus shows 330 informants in 4 different age groups (from 18 years on) from 13 different regions. All parts are conversations between two informants in German Sign Language (DGS). The majority of transcripts included cover discussions and reports on Deaf life and personal experiences, although there are examples of other tasks such as story retellings as well.<br>Transcripts are made available in iLex and ELAN format as well as in SRT subtitles format that can be imported in MaxQDA and other analysis tools, together with the mp4 video files in 360p50. Diese DOI identifiziert die Version 1.0 des Datensatzes.
description: A type from the annotation of MYDGS including all its tokens in MYDGS: Das Öffentliche DGS-Korpus besteht aus mehr als 50 Stunden Video aus dem Projekt DGS-Korpus, die zusammen mit Annotationen für Forschungszwecke zur Verfügung gestellt werden. Die Datenerhebung im Projekt fand im Zeitraum 2010-2012 in ganz Deutschland statt. Das öffentliche Korpus besteht aus Gesprächen jeweils zweier Informantinnen oder Informanten in Deutscher Gebärdensprache. Das Korpus umfasst 330 Informantinnen und Informanten in vier verschiedenen Altersgruppen (ab 18 Jahren) aus 13 verschiedenen Regionen. Der Schwerpunkt der Sammlung liegt auf Transkripten von Diskussionen und Berichten über das Leben Gehörloser sowie persönliche Erfahrungen, sie enthält aber auch Beispiele anderer Erhebungsformate wie Nacherzählungen.<br>Transkripte werden im iLex- und ELAN-Format sowie als SRT-Untertiteldateien (zum Import etwa in MaxQDA) zur Verfügung gestellt. Die zugehörigen MP4-Videodaten sind durchgängig im Format 360p50. This DOI identifies the version 1.0 of the dataset.
DOI: 10.25592/dgs.corpus-1.0-type-76555
title: AUTO-PJM1^ (MEINE DGS – annotiert. Öffentliches Korpus der Deutschen Gebärdensprache, 1. Release)
title: CAR-PJM1^ (MY DGS – annotated. Public Corpus of German Sign Language, 1st release)

description: Ein Type aus der Annotation von MEINEDGS mit allen seinen Tokens aus MEINEDGS: The Public DGS Corpus consists of more than 50 hours of video data from the DGS-Korpus project made available together with annotations for research purposes. In this project, data were collected all across Germany in the timeframe 2010-2012. The public corpus shows 330 informants in 4 different age groups (from 18 years on) from 13 different regions. All parts are conversations between two informants in German Sign Language (DGS). The majority of transcripts included cover discussions and reports on Deaf life and personal experiences, although there are examples of other tasks such as story retellings as well.<br>Transcripts are made available in iLex and ELAN format as well as in SRT subtitles format that can be imported in MaxQDA and other analysis tools, together with the mp4 video files in 360p50. Diese DOI identifiziert die Version 1.0 des Datensatzes.
description: A type from the annotation of MYDGS including all its tokens in MYDGS: Das Öffentliche DGS-Korpus besteht aus mehr als 50 Stunden Video aus dem Projekt DGS-Korpus, die zusammen mit Annotationen für Forschungszwecke zur Verfügung gestellt werden. Die Datenerhebung im Projekt fand im Zeitraum 2010-2012 in ganz Deutschland statt. Das öffentliche Korpus besteht aus Gesprächen jeweils zweier Informantinnen oder Informanten in Deutscher Gebärdensprache. Das Korpus umfasst 330 Informantinnen und Informanten in vier verschiedenen Altersgruppen (ab 18 Jahren) aus 13 verschiedenen Regionen. Der Schwerpunkt der Sammlung liegt auf Transkripten von Diskussionen und Berichten über das Leben Gehörloser sowie persönliche Erfahrungen, sie enthält aber auch Beispiele anderer Erhebungsformate wie Nacherzählungen.<br>Transkripte werden im iLex- und ELAN-Format sowie als SRT-Untertiteldateien (zum Import etwa in MaxQDA) zur Verfügung gestellt. Die zugehörigen MP4-Videodaten sind durchgängig im Format 360p50. This DOI identifies the version 1.0 of the dataset.
DOI: 10.15156/bio/sh1016859.09fu
title: SH1016859.09FU

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/sh1016860.09fu
title: SH1016860.09FU

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/sh1016861.09fu
title: SH1016861.09FU

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: 10.6084/m9.figshare.22579219
title: Supplementary Tables for Bifidobacterium Colonization Study

description: Supplementary Tables for a study of Bifidobacterial colonization success after FMT. <br> Table S1: Bifidobacteria genomes. a) Accession numbers for Bifidobacteria reference genomes. b) Detection of Bifidobacteria MAGs in FMT metagenomes. c) Sample information and SRA accession numbers for publicly-available gut metagenomes used in this study. d) Detection of Bifidobacteria MAGs in global gut metagenomes. e) Prevalence of Bifidobacteria MAGs in global gut metagenomes. f) gANI percent identity between Bifidobacteria genomes. g) gANI percent alignment coverage between Bifidobacteria genomes. h) Bifidobacteria reference genomes from NCBI. i) Summary statistics for Bifidobacteria MAGs and reference genomes. Table S2: Bifidobacteria functional analysis. a) List of KEGG modules that are complete in at least one Bifidobacterium genome. b) KEGG module completeness scores in each Bifidobacterium genome. c) KEGG modules enriched in different Bifidobacteria species. d) KOfam presence and absence in Bifidobacteria genomes. e) KOfams enriched in different Bifidobacteria species. f) COG function presence and absence in Bifidobacteria genomes. g) COG functions enriched in different Bifidobacteria species.
DOI: 10.15156/bio/sh1016862.09fu
title: SH1016862.09FU

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: 10.6084/m9.figshare.22573366
title: HL_1-8_trimmed_paired

description: Paired HL 1-8 Coastal timecourse shotgun data that are trimmed/filtered
DOI: 10.15156/bio/sh1016863.09fu
title: SH1016863.09FU

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/sh1016864.09fu
title: SH1016864.09FU

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/sh1016865.09fu
title: SH1016865.09FU

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/sh1016866.09fu
title: SH1016866.09FU

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/sh1016867.09fu
title: SH1016867.09FU

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/sh1016868.09fu
title: SH1016868.09FU

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: 10.34740/kaggle/dsv/5351908
title: Elon Musk Tweets