cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2dp6dq
title: CCDC 2224913: Experimental Crystal Structure Determination

description: Related Article: Jie Yang,  Zhongshu Li,  Xiantao Wu,  Jie Chen,  Sisi Huang,  Yu-Lin Lu,  Zhiwei Jiao,  Cheng-Yong Su|2025|Nat.Commun.|16|3980|doi:10.1038/s41467-025-59176-5
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.cc2dp6ht
title: CCDC 2224916: Experimental Crystal Structure Determination

description: Related Article: Yuting Tian, Dongqing He, Limei Gao, Yu Zou, Xiaoshuang Liu, Qiang Wang, Enxiang Liang, Yong-Sheng Zheng|2023|Molecules|28|3341|doi:10.3390/molecules28083341
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.cc2dpb8q
title: CCDC 2225033: Experimental Crystal Structure Determination

description: Related Article: Jiantang Li, Dorina F. Sava, Vincent Guillerm, Taslim Melliti, Ryan Luebke, Jarrod F. Eubank, Prashant M. Bhatt, Hao Jiang, Mickaele Bonneau, Youssef Belmabkhout, Zhiyuan Huang, Aleksander Shkurenko, Lukasz Wojtas, Michael O'Keeffe, Mohamed Eddaoudi|2023|Chem (Cell Press)|10|567|doi:10.1016/j.chempr.2023.09.026
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.cc2dp6nz
title: CCDC 2224921: Experimental Crystal Structure Determination

description: Related Article: Julia Torres, Javier González-Platas, Carlos Kremer|2023|Crystals|13|56|doi:10.3390/cryst13010056
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.cc2dp6p0
title: CCDC 2224922: Experimental Crystal Structure Determination

description: Related Article: Julia Torres, Javier González-Platas, Carlos Kremer|2023|Crystals|13|56|doi:10.3390/cryst13010056
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.cc2dp76k
title: CCDC 2224938: Experimental Crystal Structure Determination

description: Related Article: Mona A. Shalaby, Asmaa M. Fahim  and  Sameh A. Rizk |2023|Scientific Reports|13|4999|doi:10.1038/s41598-023-31995-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.cc2dpbk0
title: CCDC 2225042: Experimental Crystal Structure Determination

description: Related Article: Isaac G. Sonsona, Manuel Carrera, Miriam Más-Montoya, Rafael S. Sánchez, Patricio Serafini, Eva M. Barea, Iván Mora-Seró, David Curiel|2023|ACS Applied Materials and Interfaces|15|22310|doi:10.1021/acsami.2c23010
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.cc2dp8bq
title: CCDC 2224973: Experimental Crystal Structure Determination

description: Related Article: Mengzhou Wang, Jing Wang, Wen Shen, Xuan-sheng Xie, Liang Qi, Jian-wu Xie|2023|Eur.J.Org.Chem.|26||doi:10.1002/ejoc.202300362
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.cc2dp8gv
title: CCDC 2224977: Experimental Crystal Structure Determination

description: Related Article: Sabari Veerapathiran, Ganesan Prabusankar|2023|Chem.Asian J.|18|e202300217|doi:10.1002/asia.202300217
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.cc2dp8hw
title: CCDC 2224978: Experimental Crystal Structure Determination

description: Related Article: Sabari Veerapathiran, Ganesan Prabusankar|2023|Chem.Asian J.|18|e202300217|doi:10.1002/asia.202300217
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.cc2dp8jx
title: CCDC 2224979: Experimental Crystal Structure Determination

description: Related Article: Sabari Veerapathiran, Ganesan Prabusankar|2023|Chem.Asian J.|18|e202300217|doi:10.1002/asia.202300217
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.cc2dp8ky
title: CCDC 2224980: Experimental Crystal Structure Determination

description: Related Article: Sabari Veerapathiran, Ganesan Prabusankar|2023|Chem.Asian J.|18|e202300217|doi:10.1002/asia.202300217
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.cc2dp8lz
title: CCDC 2224981: Experimental Crystal Structure Determination

description: Related Article: Sabari Veerapathiran, Ganesan Prabusankar|2023|Chem.Asian J.|18|e202300217|doi:10.1002/asia.202300217
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.cc2dp8m0
title: CCDC 2224982: Experimental Crystal Structure Determination

description: Related Article: Sabari Veerapathiran, Ganesan Prabusankar|2023|Chem.Asian J.|18|e202300217|doi:10.1002/asia.202300217
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.cc2dp90f
title: CCDC 2224994: Experimental Crystal Structure Determination

description: Related Article: Vediyappan Nagamani, Sriraghavan Kamaraj|2024|Eur.J.Org.Chem.||e202400575|doi:10.1002/ejoc.202400575
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.cc2dp97n
title: CCDC 2225001: Experimental Crystal Structure Determination

description: Related Article: Ruwei Wei, Yan Dong, Xueli Wang, Jin Li, Zuhai Lei, Zhubin Hu, Jinquan Chen, Haitao Sun, Hao Chen, Xiao Luo, Xuhong Qian, Youjun Yang|2023|J.Am.Chem.Soc.|145|12013|doi:10.1021/jacs.3c00594
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.cc2dpb5m
title: CCDC 2225030: Experimental Crystal Structure Determination

description: Related Article: Lin-Yuan Zhang, Li-Jun Xu, Ya-Wen Wang, Yu Peng|2023|Molbank|2023|M1582|doi:10.3390/M1582
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.cc2dpc1j
title: CCDC 2225057: Experimental Crystal Structure Determination

description: Related Article: Sylwia Ostrowska, Lorenzo Palio, Agnieszka Czapik, Subhrajyoti Bhandary, Marcin Kwit, Kristof Van Hecke, Steven Patric Nolan|2023|Catalysts|13|559|doi:10.3390/catal13030559
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.cc2d98bb
title: CSD 2213441: Experimental Crystal Structure Determination

description: Related Article: Sergey N. Volkov, Dmitri O. Charkin, Vera A. Firsova, Lev S. Manelis, Alexander M. Banaru, Alexey V. Povolotskiy, Valentina A. Yukhno, Maxim Yu. ArsentA{cent}a {not}a {cent}ev, Yevgeny Savchenko, Valery L. Ugolkov, Maria G. Krzhizhanovskaya, Rimma S. Bubnova, Sergey M. Aksenov|2023|Inorg.Chem.|62|30|doi:10.1021/acs.inorgchem.2c03680
description: Related Article: Sergey N. Volkov, Dmitri O. Charkin, Vera A. Firsova, Lev S. Manelis, Alexander M. Banaru, Alexey V. Povolotskiy, Valentina A. Yukhno, Maxim Yu. Arsent’ev, Yevgeny Savchenko, Valery L. Ugolkov, Maria G. Krzhizhanovskaya, Rimma S. Bubnova, Sergey M. Aksenov|2022|Inorg.Chem.|62|30|doi:10.1021/acs.inorgchem.2c03680
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15156/bio/sh1085083.10fu
title: SH1085083.10FU

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/sh1085085.10fu
title: SH1085085.10FU

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/sh1085086.10fu
title: SH1085086.10FU

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/sh1085087.10fu
title: SH1085087.10FU

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/sh1085089.10fu
title: SH1085089.10FU

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/sh1085091.10fu
title: SH1085091.10FU

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/sh1085093.10fu
title: SH1085093.10FU

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/sh1085094.10fu
title: SH1085094.10FU

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/sh1085098.10fu
title: SH1085098.10FU

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/sh1085099.10fu
title: SH1085099.10FU

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.