cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2jczvr
title: CCDC 2335225: Experimental Crystal Structure Determination

description: Related Article: Zujia Lu, Guangzao Yang, Huaxin Luo, Minjie Gao, Majeed Irfan, Fei Wang, Zhuo Zeng|2024|New J.Chem.|48|6378|doi:10.1039/D4NJ00330F
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.cc2j3ndq
title: CCDC 2327213: Experimental Crystal Structure Determination

description: Related Article: Zhaofeng Sun, Jibo Zong, Hongyuan Ren, Changsheng Lu, Deshuang Tu, Jordi Poater, Miquel Solà, Zhuangzhi Shi, Hong Yan |2024|Nat.Commun.|15|7934|doi:10.1038/s41467-024-51506-3
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.cc2jczws
title: CCDC 2335226: Experimental Crystal Structure Determination

description: Related Article: Meng-Cheng Liu,  Xiao-Jian Liao,  Xi-Wen Xing,  Shi-Hai Xu,  Bing-Xin Zhao|2024|J.Asian Nat.Prod.Res.|26|1254|doi:10.1080/10286020.2024.2360114
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.cc2hj98m
title: CCDC 2309570: Experimental Crystal Structure Determination

description: Related Article: Zhaofeng Sun, Jibo Zong, Hongyuan Ren, Changsheng Lu, Deshuang Tu, Jordi Poater, Miquel Solà, Zhuangzhi Shi, Hong Yan |2024|Nat.Commun.|15|7934|doi:10.1038/s41467-024-51506-3
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.cc2hjcw9
title: CCDC 2309651: Experimental Crystal Structure Determination

description: Related Article: Zhaofeng Sun, Jibo Zong, Hongyuan Ren, Changsheng Lu, Deshuang Tu, Jordi Poater, Miquel Solà, Zhuangzhi Shi, Hong Yan |2024|Nat.Commun.|15|7934|doi:10.1038/s41467-024-51506-3
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.cc2jd021
title: CCDC 2335232: Experimental Crystal Structure Determination

description: Related Article: Hiroki Narita, Hyukgi Min, Nanami Kubo, Izumi Hattori, Takuma Yasuda|2024|Angew.Chem.,Int.Ed.|63|e202405412|doi:10.1002/anie.202405412
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.cc2jd032
title: CCDC 2335233: Experimental Crystal Structure Determination

description: Related Article: Hiroki Narita, Hyukgi Min, Nanami Kubo, Izumi Hattori, Takuma Yasuda|2024|Angew.Chem.,Int.Ed.|63|e202405412|doi:10.1002/anie.202405412
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.cc2jd043
title: CCDC 2335234: Experimental Crystal Structure Determination

description: Related Article: Hiroki Narita, Hyukgi Min, Nanami Kubo, Izumi Hattori, Takuma Yasuda|2024|Angew.Chem.,Int.Ed.|63|e202405412|doi:10.1002/anie.202405412
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.cc2jd054
title: CCDC 2335235: Experimental Crystal Structure Determination

description: Related Article: Hiroki Narita, Hyukgi Min, Nanami Kubo, Izumi Hattori, Takuma Yasuda|2024|Angew.Chem.,Int.Ed.|63|e202405412|doi:10.1002/anie.202405412
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.cc2jd065
title: CCDC 2335236: Experimental Crystal Structure Determination

description: Related Article: Hiroki Narita, Hyukgi Min, Nanami Kubo, Izumi Hattori, Takuma Yasuda|2024|Angew.Chem.,Int.Ed.|63|e202405412|doi:10.1002/anie.202405412
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.cc2jd0b9
title: CCDC 2335240: Experimental Crystal Structure Determination

description: Related Article: Samjhana Maharjan, Ravi Kishore, Bella Albano, Pamela A. Ondiek, Joseph O'Shea, Angel G. Cosme-Hernandez, Donald J. Wink, Barry C. Pemberton, Steven Lopez, A. Jean-Luc Ayitou|2025|Adv.Synth.Catal.|367|e202400899|doi:10.1002/adsc.202400899
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.cc2jd0cb
title: CCDC 2335241: Experimental Crystal Structure Determination

description: Related Article: Samjhana Maharjan, Ravi Kishore, Bella Albano, Pamela A. Ondiek, Joseph O'Shea, Angel G. Cosme-Hernandez, Donald J. Wink, Barry C. Pemberton, Steven Lopez, A. Jean-Luc Ayitou|2025|Adv.Synth.Catal.|367|e202400899|doi:10.1002/adsc.202400899
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.cc2jd098
title: CCDC 2335239: Experimental Crystal Structure Determination

description: Related Article: Samjhana Maharjan, Ravi Kishore, Bella Albano, Pamela A. Ondiek, Joseph O'Shea, Angel G. Cosme-Hernandez, Donald J. Wink, Barry C. Pemberton, Steven Lopez, A. Jean-Luc Ayitou|2025|Adv.Synth.Catal.|367|e202400899|doi:10.1002/adsc.202400899
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.cc2jd0dc
title: CCDC 2335242: Experimental Crystal Structure Determination

description: Related Article: Samjhana Maharjan, Ravi Kishore, Bella Albano, Pamela A. Ondiek, Joseph O'Shea, Angel G. Cosme-Hernandez, Donald J. Wink, Barry C. Pemberton, Steven Lopez, A. Jean-Luc Ayitou|2025|Adv.Synth.Catal.|367|e202400899|doi:10.1002/adsc.202400899
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.cc2jd0rq
title: CCDC 2335253: Experimental Crystal Structure Determination

description: Related Article: Vladimir Viktorovich Sharutin,  Daria Andreevna Degtyareva|2024|Yuzhno-Ural'skii Gosudarst. Univ.Vestn. Ser.Khim.|16|118-3|doi:10.14529/chem240306
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.cc2hx96y
title: CCDC 2321100: Experimental Crystal Structure Determination

description: Related Article: Xu Wang, Junhao Yin, Wangqin Mao, Zhenyu Wang, Shuang Wu, Yang’en You|2024|Org.Lett.|26|7757|doi:10.1021/acs.orglett.4c02927
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.cc2jd0xw
title: CCDC 2335258: Experimental Crystal Structure Determination

description: Related Article: Nicolas Lentz, Sabela Reuge, Alicia Beaufils, Martin Albrecht|2024|Organometallics|43|1536|doi:10.1021/acs.organomet.4c00116
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: 10.15468/dl.92k2yz
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((39.72803 36.66718,53.87944 36.66718,53.87944 42.31830,39.72803 42.31830,39.72803 36.66718))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cicadatra hagenica"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059282-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w5hx67
title: Occurrence Download

description: A dataset containing 329 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Psittaciformes)",
 "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 0,180 0,180 30,150 30,150 0))"
 ]
}

 The dataset includes 329 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059279-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g82ejt
title: Occurrence Download

description: A dataset containing 507 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation)",
 "Geometry POLYGON((-180 -25,180 -25,180 25,-180 25,-180 -25))",
 "OccurrenceStatus is Present",
 "TaxonKey is Camellia sinensis"
 ]
}

 The dataset includes 507 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059284-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1088068.10fu
title: SH1088068.10FU

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/sh1088069.10fu
title: SH1088069.10FU

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/sh1088075.10fu
title: SH1088075.10FU

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/sh1088076.10fu
title: SH1088076.10FU

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/sh1088077.10fu
title: SH1088077.10FU

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/sh1088078.10fu
title: SH1088078.10FU

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/sh1088079.10fu
title: SH1088079.10FU

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/sh1088081.10fu
title: SH1088081.10FU

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/sh1088082.10fu
title: SH1088082.10FU

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.