cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0059208.10fu
title: SH0059208.10FU

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/sh0059209.10fu
title: SH0059209.10FU

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/sh0059210.10fu
title: SH0059210.10FU

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/sh0059211.10fu
title: SH0059211.10FU

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/sh0059212.10fu
title: SH0059212.10FU

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/sh0059213.10fu
title: SH0059213.10FU

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/sh0059214.10fu
title: SH0059214.10FU

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/sh0059215.10fu
title: SH0059215.10FU

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/sh0059216.10fu
title: SH0059216.10FU

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/sh0059217.10fu
title: SH0059217.10FU

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: 10.15468/dl.cxtejd
title: Occurrence Download

description: A dataset containing 2663295967 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is one of (CC0 1.0, CC-BY 4.0)"
 ]
}

 The dataset includes 2663295967 records from 40438 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075908-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.1.3726.7363
title: Recension dans Revue Philosophique de la France et de l'étranger
DOI: 10.15468/dl.s65fjq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Suliformes)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((150 -90,180 -90,180 -60,150 -60,150 -90))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058586-250920141307145/datasets/export for details.
DOI: 10.15468/dl.pc39aw
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "TaxonKey is Cacopsylla pyri"
 ]
}

 The dataset includes 26 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058589-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17230456
title: List of differentially expressed genes
DOI: 10.5281/zenodo.17230457
title: List of differentially expressed genes
DOI: 10.5517/ccdc.csd.cc1jgzlk
title: CCDC 1414579: Experimental Crystal Structure Determination

description: Related Article: Zi-Li Ren, Jing Zhang, Hai-dong Li, Ming-Jie Chu, Li-Song Zhang, Xiao-Kang Yao, Yong Xia, Xian-Hai Lv, Hai-Qun Cao|2016|Chem.Pharm.Bull.|64|1755|doi:10.1248/cpb.c16-00622
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1jgzml
title: CCDC 1414580: Experimental Crystal Structure Determination

description: Related Article: Zi-Li Ren, Jing Zhang, Hai-dong Li, Ming-Jie Chu, Li-Song Zhang, Xiao-Kang Yao, Yong Xia, Xian-Hai Lv, Hai-Qun Cao|2016|Chem.Pharm.Bull.|64|1755|doi:10.1248/cpb.c16-00622
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1jgznm
title: CCDC 1414581: Experimental Crystal Structure Determination

description: Related Article: Zi-Li Ren, Jing Zhang, Hai-dong Li, Ming-Jie Chu, Li-Song Zhang, Xiao-Kang Yao, Yong Xia, Xian-Hai Lv, Hai-Qun Cao|2016|Chem.Pharm.Bull.|64|1755|doi:10.1248/cpb.c16-00622
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1jgzpn
title: CCDC 1414582: Experimental Crystal Structure Determination

description: Related Article: Zi-Li Ren, Jing Zhang, Hai-dong Li, Ming-Jie Chu, Li-Song Zhang, Xiao-Kang Yao, Yong Xia, Xian-Hai Lv, Hai-Qun Cao|2016|Chem.Pharm.Bull.|64|1755|doi:10.1248/cpb.c16-00622
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1jgzqp
title: CCDC 1414583: Experimental Crystal Structure Determination

description: Related Article: Zi-Li Ren, Jing Zhang, Hai-dong Li, Ming-Jie Chu, Li-Song Zhang, Xiao-Kang Yao, Yong Xia, Xian-Hai Lv, Hai-Qun Cao|2016|Chem.Pharm.Bull.|64|1755|doi:10.1248/cpb.c16-00622
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc1jgzsr
title: CCDC 1414585: Experimental Crystal Structure Determination

description: Related Article: Aurora López, Alejandro Parra, Carlos Jarava-Barrera, Mariola Tortosa|2015|Chem.Commun.|51|17684|doi:10.1039/C5CC06653K
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1jgzrq
title: CCDC 1414584: Experimental Crystal Structure Determination

description: Related Article: Zi-Li Ren, Jing Zhang, Hai-dong Li, Ming-Jie Chu, Li-Song Zhang, Xiao-Kang Yao, Yong Xia, Xian-Hai Lv, Hai-Qun Cao|2016|Chem.Pharm.Bull.|64|1755|doi:10.1248/cpb.c16-00622
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc1jh3ty
title: CCDC 1414710: Experimental Crystal Structure Determination

description: Related Article: Jan Tillmann, Maximilian Moxter, Michael Bolte, Hans-Wolfram Lerner, and Matthias Wagner|2015|Inorg.Chem.|54|9611|doi:10.1021/acs.inorgchem.5b01703
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc1jh3vz
title: CCDC 1414711: Experimental Crystal Structure Determination

description: Related Article: Jan Tillmann, Maximilian Moxter, Michael Bolte, Hans-Wolfram Lerner, and Matthias Wagner|2015|Inorg.Chem.|54|9611|doi:10.1021/acs.inorgchem.5b01703
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc1jh3w0
title: CCDC 1414712: Experimental Crystal Structure Determination

description: Related Article: Jan Tillmann, Maximilian Moxter, Michael Bolte, Hans-Wolfram Lerner, and Matthias Wagner|2015|Inorg.Chem.|54|9611|doi:10.1021/acs.inorgchem.5b01703
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc1jgzxw
title: CCDC 1414589: Experimental Crystal Structure Determination

description: Related Article: Mikhail M. Degtyarik, Alexander S. Lyakhov, Ludmila S. Ivashkevich, Vitaly E. Matulis, Vadim E. Matulis, Sina Gruschinski, Sergei V. Voitekhovich, Berthold Kersting, Oleg A. Ivashkevich|2015|Dalton Trans.|44|18518|doi:10.1039/C5DT02871J
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc1jgzyx
title: CCDC 1414590: Experimental Crystal Structure Determination

description: Related Article: Mikhail M. Degtyarik, Alexander S. Lyakhov, Ludmila S. Ivashkevich, Vitaly E. Matulis, Vadim E. Matulis, Sina Gruschinski, Sergei V. Voitekhovich, Berthold Kersting, Oleg A. Ivashkevich|2015|Dalton Trans.|44|18518|doi:10.1039/C5DT02871J
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc1j8rfz
title: CCDC 1408591: Experimental Crystal Structure Determination

description: Related Article: Weidong Liu, Qingzhen Yu, Le'an Hu, Zenghua Chen, Jianhui Huang|2015|Chemical Science|6|5768|doi:10.1039/C5SC01482D
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc1jgzwv
title: CCDC 1414588: Experimental Crystal Structure Determination

description: Related Article: Huimin Ding, Xiaojun Wu, Matthias Zeller, Yunpeng Xie, and Cheng Wang|2015|J.Org.Chem.|80|9360|doi:10.1021/acs.joc.5b01781
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc1jh001
title: CCDC 1414592: Experimental Crystal Structure Determination

description: Related Article: Dieter Klintuch, Kristijan Krekić, Clemens Bruhn, Zoltán Benkő, Rudolf Pietschnig|2016|Eur.J.Inorg.Chem.|2016|718|doi:10.1002/ejic.201500874
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc1jh012
title: CCDC 1414593: Experimental Crystal Structure Determination

description: Related Article: Dieter Klintuch, Kristijan Krekić, Clemens Bruhn, Zoltán Benkő, Rudolf Pietschnig|2016|Eur.J.Inorg.Chem.|2016|718|doi:10.1002/ejic.201500874
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.