cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25318/1310074301-fra
title: Mortalité prématurée et potentiellement évitable, période de trois ans, Canada, provinces, territoires, régions sociosanitaires et groupes de régions homologues

description: Ce tableau contient 33048 séries, avec des données pour les années 2006/2008 - 2012/2014 (il n'y a pas nécessairement de données pour toutes les années pour l'ensemble des combinaisons), et sa dernière date de diffusion remonte au 2017-11-30. Ce tableau contient des données telles que décrites par les dimensions suivantes (Les combinaisons ne sont pas toutes disponibles) : Géographie (153 éléments : Canada; Terre-Neuve-et-Labrador; Eastern Regional Integrated Health Authority, Terre-Neuve-et-Labrador; Central Regional Integrated Health Authority, Terre-Neuve-et-Labrador; ...) ; Sexe (3 éléments : Les deux sexes; Hommes; Femmes) ; Indicateurs (2 éléments : Mortalité; Années potentielles de vie perdues) ; Certaines causes de décès (4 éléments : Mortalité prématurée; Mortalité potentiellement évitable; Mortalité évitable de causes pouvant être prévenues; Mortalité évitable de causes traitables) ; Caractéristiques (9 éléments : Nombre; Limite inférieure de l'intervalle de confiance de 95 %, nombre; Limite supérieure de l'intervalle de confiance de 95 %, nombre; Taux; ...).
DOI: 10.25318/1310074401-eng
title:  Premature and potentially avoidable mortality, Canada, provinces and territories

description: This table contains 864 series, with data for years 1979 - 2014 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (12 items: Canada; Newfoundland and Labrador; Prince Edward Island; Nova Scotia; ...);  Sex (3 items: Both sexes; Males; Females);  Indicators (2 items: Mortality; Potential years of life lost) Selected causes of death (4 items: Premature mortality; Potentially avoidable mortality; Mortality from preventable causes; Mortality from treatable causes);  Characteristics (3 items: Number; Rate; Age-standardized rate).
DOI: 10.25318/1310074401-fra
title: Mortalité prématurée et potentiellement évitable, Canada, provinces et territoires

description: Ce tableau contient 864 séries, avec des données pour les années 1979 - 2014 (il n'y a pas nécessairement de données pour toutes les années pour l'ensemble des combinaisons). Ce tableau contient des données telles que décrites par les dimensions suivantes (Les combinaisons ne sont pas toutes disponibles) : Géographie (12 éléments : Canada; Terre-Neuve-et-Labrador; Île-du-Prince-Édouard; Nouvelle-Écosse; ...) ; Sexe (3 éléments : Les deux sexes; Hommes; Femmes) Indicateurs (2 éléments : Mortalité; Années potentielles de vie perdues) ; Certaines causes de décès (4 éléments : Mortalité prématurée; Mortalité potentiellement évitable; Mortalité évitable de causes pouvant être prévenues; Mortalité évitable de causes traitables)  ; Caractéristiques (3 éléments : Nombre; Taux; Taux normalisé selon l'âge).
DOI: 10.25318/2710005701-eng
title: Innovation and business strategy, changes resulting from organizational innovations introduced

description: Innovation, changes resulting from organizational innovation introduced, by North American Industry Classification System (NAICS) and enterprise size for Canada and regions from 2009 to today.
DOI: 10.25318/2710005701-fra
title: Innovation et les stratégies d'entreprise, changements découlant des innovations organisationnelles introduites

description: Enquête sur l'innovation et les stratégies d'entreprise, changements découlant des innovations organisationnelles introduites, selon le Système de classification des industries de l'Amérique du Nord (SCIAN) et la taille de l'entreprise pour le Canada et les régions de 2009 à aujourd'hui.
DOI: 10.25318/2710005801-eng
title: Innovation and business strategy, types product innovation introduced

description: Innovation, types product innovation introduced, by North American Industry Classification System (NAICS) and enterprise size for Canada and regions from 2007 to today.
DOI: 10.25318/2710005801-fra
title: Innovation et les stratégies d'entreprise, types d'innovation de produits introduits

description: Enquête sur l'innovation et les stratégies d'entreprise, types d'innovation de produits introduits, selon le Système de classification des industries de l'Amérique du Nord (SCIAN) et la taille de l'entreprise pour le Canada et les régions de 2007 à aujourd'hui.
DOI: 10.25318/2710005901-fra
title: Innovation et les stratégies d'entreprise, développement des innovations de produits

description: Enquête sur l'innovation et les stratégies d'entreprise, développement des innovations de produits, selon le Système de classification des industries de l'Amérique du Nord (SCIAN) et la taille de l'entreprise pour le Canada et les régions de 2007 à aujourd'hui.
DOI: 10.25318/3410019001-eng
title: Percentage of publicly owned culture, recreation and sport facilities which allow accessibility, Infrastructure Canada

description: Percentage of provincially, territorially, regionally and municipally owned culture, recreation and sport facilities allowing accessibility for all provinces and territories. Values are presented for 2016.
DOI: 10.25318/3410019001-fra
title: Pourcentage des installations culturelles, sportives et de loisirs de propriété publique permettant l'accessibilité universelle, Infrastructure Canada

description: Pourcentage d'installations culturelles, sportives et de loisirs de propriété provinciale, territoriale, régionale et municipale pour toutes les provinces et territoires permettant l'accessibilité universelle. Les données sont présentées pour 2016.
DOI: 10.25592/dgs.corpus-type-65057
title: BEGEISTERT2^ (MEINE DGS – annotiert. Öffentliches Korpus der Deutschen Gebärdensprache, mehrere Releases)
title: ENTHUSIASTIC2^ (MY DGS – annotated. Public Corpus of German Sign Language, several releases)

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. Über diese versionsunabhängige DOI ist die jeweils neueste Version des Datensatzes auffindbar.
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 version-dependent DOI allows you to find the latest version of the dataset.
DOI: 10.5517/ccdc.csd.cc21rpzh
title: CCDC 1899617: Experimental Crystal Structure Determination

description: Related Article: Sakhiul Islam, Joydeep Datta, Suvendu Maity, Basudeb Dutta, Samim Khan, Prasanta Ghosh, Partha Pratim Ray, Mohammad Hedayetullah Mir
|2019|Cryst.Growth Des.|19|4057|doi:10.1021/acs.cgd.9b00463
DOI: 10.5517/ccdc.csd.cc21rq0k
title: CCDC 1899618: Experimental Crystal Structure Determination

description: Related Article: Sakhiul Islam, Joydeep Datta, Suvendu Maity, Basudeb Dutta, Samim Khan, Prasanta Ghosh, Partha Pratim Ray, Mohammad Hedayetullah Mir
|2019|Cryst.Growth Des.|19|4057|doi:10.1021/acs.cgd.9b00463
DOI: 10.5517/ccdc.csd.cc21x2vx
title: CCDC 1903829: Experimental Crystal Structure Determination

description: Related Article: Ricardo Alvarez, Günter Schabert, Aysel Soydemir, Lukas Wick, Urs Spitz, Bernhard Spingler|2019|Cryst.Growth Des.|19|4019|doi:10.1021/acs.cgd.9b00423
DOI: 10.5517/ccdc.csd.cc21y3x1
title: CCDC 1904823: Experimental Crystal Structure Determination

description: Related Article: Rafel Prohens, Dafne de Sande, Mercè Font-Bardia, Antonio Franconetti, José F. González, Antonio Frontera
|2019|Cryst.Growth Des.|19|3989|doi:10.1021/acs.cgd.9b00387
DOI: 10.5517/ccdc.csd.cc22215d
title: CCDC 1908582: Experimental Crystal Structure Determination

description: Related Article: Yin-Hua Zhao, Shu Liu, Bing-Wu Wang, Zhe-Ming Wang, Song Gao|2019|Chem.-Eur.J.|25|9303|doi:10.1002/chem.201901655
DOI: 10.5517/ccdc.csd.cc22216f
title: CCDC 1908583: Experimental Crystal Structure Determination

description: Related Article: Yin-Hua Zhao, Shu Liu, Bing-Wu Wang, Zhe-Ming Wang, Song Gao|2019|Chem.-Eur.J.|25|9303|doi:10.1002/chem.201901655
DOI: 10.5517/ccdc.csd.cc22217g
title: CCDC 1908584: Experimental Crystal Structure Determination

description: Related Article: Yin-Hua Zhao, Shu Liu, Bing-Wu Wang, Zhe-Ming Wang, Song Gao|2019|Chem.-Eur.J.|25|9303|doi:10.1002/chem.201901655
DOI: 10.5517/ccdc.csd.cc22218h
title: CCDC 1908585: Experimental Crystal Structure Determination

description: Related Article: Yin-Hua Zhao, Shu Liu, Bing-Wu Wang, Zhe-Ming Wang, Song Gao|2019|Chem.-Eur.J.|25|9303|doi:10.1002/chem.201901655
DOI: 10.5517/ccdc.csd.cc22219j
title: CCDC 1908586: Experimental Crystal Structure Determination

description: Related Article: Yin-Hua Zhao, Shu Liu, Bing-Wu Wang, Zhe-Ming Wang, Song Gao|2019|Chem.-Eur.J.|25|9303|doi:10.1002/chem.201901655
DOI: 10.5517/ccdc.csd.cc2221bk
title: CCDC 1908587: Experimental Crystal Structure Determination

description: Related Article: Yin-Hua Zhao, Shu Liu, Bing-Wu Wang, Zhe-Ming Wang, Song Gao|2019|Chem.-Eur.J.|25|9303|doi:10.1002/chem.201901655
DOI: 10.5517/ccdc.csd.cc2221cl
title: CCDC 1908588: Experimental Crystal Structure Determination

description: Related Article: Yin-Hua Zhao, Shu Liu, Bing-Wu Wang, Zhe-Ming Wang, Song Gao|2019|Chem.-Eur.J.|25|9303|doi:10.1002/chem.201901655
DOI: 10.5517/ccdc.csd.cc2221dm
title: CCDC 1908589: Experimental Crystal Structure Determination

description: Related Article: Yin-Hua Zhao, Shu Liu, Bing-Wu Wang, Zhe-Ming Wang, Song Gao|2019|Chem.-Eur.J.|25|9303|doi:10.1002/chem.201901655
DOI: 10.5517/ccdc.csd.cc222grd
title: CCDC 1909003: Experimental Crystal Structure Determination

description: Related Article: Jonathan C. Axtell, Marco S. Messina, Ji-Yuan Liu, Daria Galaktionova, Josef Schwan, Tyler M. Porter, Miles D. Savage, Alex I. Wixtrom, Arnold L. Rheingold, Clifford P. Kubiak, Jay R. Winkler, Harry B. Gray, Petr Král, Anastassia N. Alexandrova, Alexander M. Spokoyny|2019|Inorg.Chem.|58|10516|doi:10.1021/acs.inorgchem.9b00935
DOI: 10.5517/ccdc.csd.cc22551h
title: CCDC 1911585: Experimental Crystal Structure Determination

description: Related Article: Yuya Ashida, Kazuya Arashiba, Hiromasa Tanaka, Akihito Egi, Kazunari Nakajima, Kazunari Yoshizawa, Yoshiaki Nishibayashi|2019|Inorg.Chem.|58|8927|doi:10.1021/acs.inorgchem.9b01340
DOI: 10.5517/ccdc.csd.cc230fwg
title: CCDC 1936845: Experimental Crystal Structure Determination

description: Related Article: Hong Jiang, Kai-Jie Chen, Fan-Fan Zheng, Xu Chen, Yan Liu, Yong Cui|2019|Chem.Commun.|55|8639|doi:10.1039/C9CC02787D
description: Related Article: Hong Jiang|2019|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc230fxh
title: CCDC 1936846: Experimental Crystal Structure Determination

description: Related Article: Hong Jiang, Kai-Jie Chen, Fan-Fan Zheng, Xu Chen, Yan Liu, Yong Cui|2019|Chem.Commun.|55|8639|doi:10.1039/C9CC02787D
description: Related Article: Hong Jiang|2019|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc230n4y
title: CCDC 1937039: Experimental Crystal Structure Determination

description: Related Article: Thorsten Hummel, Markus Stroebele|2019|CSD Communication|||
description: Related Article: Thorsten Hummel, Wolfgang Leis, Aaron Eckhardt, Markus Ströbele, David Enseling, Thomas Jüstel, Hans-Jürgen Meyer|2020|Dalton Trans.|49|9795|doi:10.1039/D0DT01705A
DOI: 10.5517/ccdc.csd.cc230njb
title: CCDC 1937051: Experimental Crystal Structure Determination

description: Related Article: Thorsten Hummel, Markus Stroebele|2019|CSD Communication|||
description: Related Article: Thorsten Hummel, Wolfgang Leis, Aaron Eckhardt, Markus Ströbele, David Enseling, Thomas Jüstel, Hans-Jürgen Meyer|2020|Dalton Trans.|49|9795|doi:10.1039/D0DT01705A
DOI: 10.15156/bio/sh1992448.08fu
title: SH1992448.08FU

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/sh1992449.08fu
title: SH1992449.08FU

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/sh2682947.08fu
title: SH2682947.08FU

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/sh2682948.08fu
title: SH2682948.08FU

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/sh1992450.08fu
title: SH1992450.08FU

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/sh1992451.08fu
title: SH1992451.08FU

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/sh2682949.08fu
title: SH2682949.08FU

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/sh2682950.08fu
title: SH2682950.08FU

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/sh1992452.08fu
title: SH1992452.08FU

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.