cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2n1pfv
title: CCDC 2444487: Experimental Crystal Structure Determination

description: Related Article: Yayong Sun, Hongyuan Sha, Yanqiang Li, Yayu Yan, Weiqi Huang, Tao Ouyang, Liyang Qin, Siwen Zhang, Hao Huang, Qiaohong Li, Sangen Zhao, Chao He, Rongjian Sa, Jian Zhang, Tianhua Zhou|2025|Adv.Mater.|37|e09171|doi:10.1002/adma.202509171
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.cc2n1pgw
title: CCDC 2444488: Experimental Crystal Structure Determination

description: Related Article: Yang Xu, Neeraj Kumar Pandit, Silvia Meraviglia, Philipp Boos, Paula Anna Maria Stark, Max Surke, Regine Herbst-Irmer, Dietmar Stalke, Lutz Ackermann|2025|ACS Catalysis|15|11716|doi:10.1021/acscatal.5c03002
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.cc2n1p7n
title: CCDC 2444481: Experimental Crystal Structure Determination

description: Related Article: Roman O. Pankov, Aliya M. Khanipova, Alexandra G. Son, Darya O. Prima, Andrey E. Kolesnikov, Nina M. Ivanova, Artem N. Fakhrutdinov, Mikhail E. Minyaev, Valentine P. Ananikov|2025|Chem.-Eur.J.|31|e202501647|doi:10.1002/chem.202501647
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.cc2n1phx
title: CCDC 2444489: Experimental Crystal Structure Determination

description: Related Article: Yang Xu, Neeraj Kumar Pandit, Silvia Meraviglia, Philipp Boos, Paula Anna Maria Stark, Max Surke, Regine Herbst-Irmer, Dietmar Stalke, Lutz Ackermann|2025|ACS Catalysis|15|11716|doi:10.1021/acscatal.5c03002
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.cc2n1pq4
title: CCDC 2444496: Experimental Crystal Structure Determination

description: Related Article: Shengyu Zhong|2025|CSD Communication|||
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.cc2n1pv8
title: CCDC 2444500: Experimental Crystal Structure Determination

description: Related Article: Valery P. Ermolaev, Nina K. Ratmanova, Vladimir V. Baranov, Irina I. Levina, Victor N. Khrustalev, Olga A. Ivanova, Angelina N. Kravchenko, Igor V. Trushkov, Ivan A. Andreev|2025|Org.Biomol.Chem.|23|7157|doi:10.1039/D5OB00709G
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.cc2n1pw9
title: CCDC 2444501: Experimental Crystal Structure Determination

description: Related Article: Valery P. Ermolaev, Nina K. Ratmanova, Vladimir V. Baranov, Irina I. Levina, Victor N. Khrustalev, Olga A. Ivanova, Angelina N. Kravchenko, Igor V. Trushkov, Ivan A. Andreev|2025|Org.Biomol.Chem.|23|7157|doi:10.1039/D5OB00709G
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.cc2n1pxb
title: CCDC 2444502: Experimental Crystal Structure Determination

description: Related Article: Valery P. Ermolaev, Nina K. Ratmanova, Vladimir V. Baranov, Irina I. Levina, Victor N. Khrustalev, Olga A. Ivanova, Angelina N. Kravchenko, Igor V. Trushkov, Ivan A. Andreev|2025|Org.Biomol.Chem.|23|7157|doi:10.1039/D5OB00709G
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.cc2n1pyc
title: CCDC 2444503: Experimental Crystal Structure Determination

description: Related Article: Valery P. Ermolaev, Nina K. Ratmanova, Vladimir V. Baranov, Irina I. Levina, Victor N. Khrustalev, Olga A. Ivanova, Angelina N. Kravchenko, Igor V. Trushkov, Ivan A. Andreev|2025|Org.Biomol.Chem.|23|7157|doi:10.1039/D5OB00709G
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.cc2n1q8q
title: CCDC 2444513: Experimental Crystal Structure Determination

description: Related Article: Irina V. Ershova, Svetlana V. Baryshnikova, Ilya A. Yakushev, Maxim V. Arsenyev, Vasily A. Ilichev, Alexandr V. Piskunov|2025|J.Mol.Struct.|1344|142969|doi:10.1016/j.molstruc.2025.142969
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.cc2n1q9r
title: CCDC 2444514: Experimental Crystal Structure Determination

description: Related Article: Irina V. Ershova, Svetlana V. Baryshnikova, Ilya A. Yakushev, Maxim V. Arsenyev, Vasily A. Ilichev, Alexandr V. Piskunov|2025|J.Mol.Struct.|1344|142969|doi:10.1016/j.molstruc.2025.142969
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.cc2n1qbs
title: CCDC 2444515: Experimental Crystal Structure Determination

description: Related Article: Irina V. Ershova, Svetlana V. Baryshnikova, Ilya A. Yakushev, Maxim V. Arsenyev, Vasily A. Ilichev, Alexandr V. Piskunov|2025|J.Mol.Struct.|1344|142969|doi:10.1016/j.molstruc.2025.142969
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.cc2n1qct
title: CCDC 2444516: Experimental Crystal Structure Determination

description: Related Article: Irina V. Ershova, Svetlana V. Baryshnikova, Ilya A. Yakushev, Maxim V. Arsenyev, Vasily A. Ilichev, Alexandr V. Piskunov|2025|J.Mol.Struct.|1344|142969|doi:10.1016/j.molstruc.2025.142969
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.cc2n1r4m
title: CCDC 2444540: Experimental Crystal Structure Determination

description: Related Article: Jing‐Wen Shi, Ning Li, Yan Liang, Shan Xu, Long‐Zhang Dong, Dongdi Zhang, Jingyang Niu, Run‐Han Li, Jiang Liu, Shun‐Li Li, Ya‐Qian Lan |2025|Angew.Chem.,Int.Ed.|64||doi:10.1002/anie.202502654
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.cc2n1r5n
title: CCDC 2444541: Experimental Crystal Structure Determination

description: Related Article: Jing‐Wen Shi, Ning Li, Yan Liang, Shan Xu, Long‐Zhang Dong, Dongdi Zhang, Jingyang Niu, Run‐Han Li, Jiang Liu, Shun‐Li Li, Ya‐Qian Lan |2025|Angew.Chem.,Int.Ed.|64||doi:10.1002/anie.202502654
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.cc2n1r6p
title: CCDC 2444542: Experimental Crystal Structure Determination

description: Related Article: Jing‐Wen Shi, Ning Li, Yan Liang, Shan Xu, Long‐Zhang Dong, Dongdi Zhang, Jingyang Niu, Run‐Han Li, Jiang Liu, Shun‐Li Li, Ya‐Qian Lan |2025|Angew.Chem.,Int.Ed.|64||doi:10.1002/anie.202502654
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.cc2jzs8l
title: CCDC 2353280: Experimental Crystal Structure Determination

description: Related Article: li xiangxin|2025|CSD Communication|||
description: Related Article: Xiangxin Li,  Zhaoxu Lu,  Shaocong Liu,  Mengyao Sun,  Shengfu Duan,  Zhixiang Xie|2025|Nat.Commun.|16|4674|doi:10.1038/s41467-025-59816-w
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.cc2n1rdw
title: CCDC 2444548: Experimental Crystal Structure Determination

description: Related Article: Richard Yuen, Jenilee D. Woodfield, Marco Verona, Cody N. Bergman, Samantha Leier, Melinda Wuest, Frank Wuest|2025|Org.Lett.|27|6901|doi:10.1021/acs.orglett.5c02163
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.cc2n1s0j
title: CCDC 2444567: Experimental Crystal Structure Determination

description: Related Article: Kohei Ohtake, Hideaki Takano, and Hiroshi Shinokubo|2025|ChemistryEurope|3|e202500109|doi:10.1002/ceur.202500109
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.cc2n1s1k
title: CCDC 2444568: Experimental Crystal Structure Determination

description: Related Article: Kohei Ohtake, Hideaki Takano, and Hiroshi Shinokubo|2025|ChemistryEurope|3|e202500109|doi:10.1002/ceur.202500109
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: 10.15156/bio/sh1090322.10fu
title: SH1090322.10FU

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/sh1090323.10fu
title: SH1090323.10FU

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/sh1090325.10fu
title: SH1090325.10FU

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/sh1090326.10fu
title: SH1090326.10FU

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/sh1090328.10fu
title: SH1090328.10FU

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/sh1090331.10fu
title: SH1090331.10FU

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/sh1090332.10fu
title: SH1090332.10FU

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/sh1090335.10fu
title: SH1090335.10FU

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/sh1090339.10fu
title: SH1090339.10FU

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.