cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2fxmll
title: CCDC 2261840: Experimental Crystal Structure Determination

description: Related Article: Soren F. Sandeno, Kyle J. Schnitzenbaumer, Sebastian M. Krajewski, Ryan A. Beck, Dylan M. Ladd, Kelsey R. Levine, Damara Dayton, Michael F. Toney, Werner Kaminsky, Xiaosong Li, Brandi M. Cossairt|2024|J.Am.Chem.Soc.|146|3102|doi:10.1021/jacs.3c10203
description: Related Article: Soren F. Sandeno, Kyle J. Schnitzenbaumer, Sebastian M. Krajewski, Ryan A. Beck, Dylan M. Ladd, Kelsey R. Levine, Damara Dayton, Michael F. Toney, Werner Kaminsky, Xiaosong Li, Brandi M. Cossairt|2023|CSD Communication|||
description: Related Article: Soren Sandeno, Kyle Schnitzenbaumer, Sebastian Krajewski, Ryan Beck, Dylan Ladd, Kelsey Levine, Damara Dayton, Michael Toney, Xiaosong Li, Werner Kaminsky, Brandi Cossairt|2023|ChemRxiv|||doi:10.26434/chemrxiv-2023-555vg
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.cc2fxmzz
title: CCDC 2261852: Experimental Crystal Structure Determination

description: Related Article: Guoqin Liu, Shengzhu Guo, Lin Liu, Yanqing Fan, Zhe Lian, Xuebo Chen, Hua Jiang|2023|J.Org.Chem.|88|10171|doi:10.1021/acs.joc.3c01197
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.cc2fxn01
title: CCDC 2261853: Experimental Crystal Structure Determination

description: Related Article: Guoqin Liu, Shengzhu Guo, Lin Liu, Yanqing Fan, Zhe Lian, Xuebo Chen, Hua Jiang|2023|J.Org.Chem.|88|10171|doi:10.1021/acs.joc.3c01197
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.cc2fxn12
title: CCDC 2261854: Experimental Crystal Structure Determination

description: Related Article: Guoqin Liu, Shengzhu Guo, Lin Liu, Yanqing Fan, Zhe Lian, Xuebo Chen, Hua Jiang|2023|J.Org.Chem.|88|10171|doi:10.1021/acs.joc.3c01197
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.cc2fxn23
title: CCDC 2261855: Experimental Crystal Structure Determination

description: Related Article: Sun Min Lim, Toshio Fujino, Chulwon Kim, Gwanghee Lee, Yong-Hee Lee, Dong-Wan Kim, Jin Seok Ahn, Tetsuya Mitsudomi, Taiguang Jin, Sang-Yoon Lee|2023|CSD Communication|||
description: Related Article: Guoqin Liu, Shengzhu Guo, Lin Liu, Yanqing Fan, Zhe Lian, Xuebo Chen, Hua Jiang|2023|J.Org.Chem.|88|10171|doi:10.1021/acs.joc.3c01197
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.cc2fxn45
title: CCDC 2261857: Experimental Crystal Structure Determination

description: Related Article: Linkun Ying, Yao Chen, Xiangrui Song, Zengqiang Song|2023|J.Org.Chem.|88|13894|doi:10.1021/acs.joc.3c01504
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.cc2fxn67
title: CCDC 2261859: Experimental Crystal Structure Determination

description: Related Article: Linkun Ying, Yao Chen, Xiangrui Song, Zengqiang Song|2023|J.Org.Chem.|88|13894|doi:10.1021/acs.joc.3c01504
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.cc2f17xn
title: CCDC 2235531: Experimental Crystal Structure Determination

description: Related Article: Kai-Yao Wang, Xin Hao, Zi-Zhao Wang, Lin Cheng|2023|Inorg.Chem.Commun.|153|110910|doi:10.1016/j.inoche.2023.110910
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.cc2fxnjk
title: CCDC 2261869: Experimental Crystal Structure Determination

description: Related Article: Reiji Yoshina, Junichiro Hirano, Emiko Nishimoto, Yuki Sakamoto, Keita Tajima, Shunsuke Minabe, Muhammet Uyanik, Kazuaki Ishihara, Tomoyuki Ikai, Eiji Yashima, Takuya Omine, Fumitaka Ishiwari, Akinori Saeki, Jinseok Kim, Juwon Oh, Dongho Kim, Guanting Liu, Takuma Yasuda, Hiroshi Shinokubo, Norihito Fukui
|2024|ChemRxiv|||doi:10.26434/chemrxiv-2024-j1xxr
description: Related Article: Reiji Yoshina, Junichiro Hirano, Emiko Nishimoto, Yuki Sakamoto, Keita Tajima, Shunsuke Minabe, Muhammet Uyanik, Kazuaki Ishihara, Tomoyuki Ikai, Eiji Yashima, Takuya Omine, Fumitaka Ishiwari, Akinori Saeki, Jinseok Kim, Juwon Oh, Dongho Kim, Guanting Liu, Takuma Yasuda, Hiroshi Shinokubo, Norihito Fukui|2024|J.Am.Chem.Soc.|146|29383|doi:10.1021/jacs.4c07985
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.cc2fxntv
title: CCDC 2261878: Experimental Crystal Structure Determination

description: Related Article: Koushani Kundu, Janis V. Musso, Mathis J. Benedikter, Wolfgang Frey, Katrin Gugeler, Johannes Kästner, Michael R. Buchmeiser|2023|Chem.-Eur.J.|29||doi:10.1002/chem.202301818
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.cc2fxnvw
title: CCDC 2261879: Experimental Crystal Structure Determination

description: Related Article: Koushani Kundu, Janis V. Musso, Mathis J. Benedikter, Wolfgang Frey, Katrin Gugeler, Johannes Kästner, Michael R. Buchmeiser|2023|Chem.-Eur.J.|29||doi:10.1002/chem.202301818
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.cc2fxnwx
title: CCDC 2261880: Experimental Crystal Structure Determination

description: Related Article: Koushani Kundu, Janis V. Musso, Mathis J. Benedikter, Wolfgang Frey, Katrin Gugeler, Johannes Kästner, Michael R. Buchmeiser|2023|Chem.-Eur.J.|29||doi:10.1002/chem.202301818
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.cc2fxnxy
title: CCDC 2261881: Experimental Crystal Structure Determination

description: Related Article: Koushani Kundu, Janis V. Musso, Mathis J. Benedikter, Wolfgang Frey, Katrin Gugeler, Johannes Kästner, Michael R. Buchmeiser|2023|Chem.-Eur.J.|29||doi:10.1002/chem.202301818
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.cc2fxnyz
title: CCDC 2261882: Experimental Crystal Structure Determination

description: Related Article: Koushani Kundu, Janis V. Musso, Mathis J. Benedikter, Wolfgang Frey, Katrin Gugeler, Johannes Kästner, Michael R. Buchmeiser|2023|Chem.-Eur.J.|29||doi:10.1002/chem.202301818
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.cc2fxnz0
title: CCDC 2261883: Experimental Crystal Structure Determination

description: Related Article: Koushani Kundu, Janis V. Musso, Mathis J. Benedikter, Wolfgang Frey, Katrin Gugeler, Johannes Kästner, Michael R. Buchmeiser|2023|Chem.-Eur.J.|29||doi:10.1002/chem.202301818
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.cc2fxp02
title: CCDC 2261884: Experimental Crystal Structure Determination

description: Related Article: Koushani Kundu, Janis V. Musso, Mathis J. Benedikter, Wolfgang Frey, Katrin Gugeler, Johannes Kästner, Michael R. Buchmeiser|2023|Chem.-Eur.J.|29||doi:10.1002/chem.202301818
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.cc2bp6v3
title: CCDC 2165345: Experimental Crystal Structure Determination

description: Related Article: Sunil Kumar Nechipadappu, Anuja Venkata Sai Durga Surampudi, Sistla Ramakrishna|2023|J.Mol.Struct.|1288|135799|doi:10.1016/j.molstruc.2023.135799
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.cc2fxp13
title: CCDC 2261885: Experimental Crystal Structure Determination

description: Related Article: Koushani Kundu, Janis V. Musso, Mathis J. Benedikter, Wolfgang Frey, Katrin Gugeler, Johannes Kästner, Michael R. Buchmeiser|2023|Chem.-Eur.J.|29||doi:10.1002/chem.202301818
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.cc2fxp9c
title: CCDC 2261893: Experimental Crystal Structure Determination

description: Related Article: Yu-Hsuan Chen, Ru-Yin Yu, Wey-Chyng Jeng, Chen-Ling Chang, Jhih-Syuan Wu, Digambar Abasaheb Nevrekar, Raghunath Maruti Walunj, Yi-Ru Chen, Gangababu Marri, Wenwei Lin|2025|Org.Lett.|||doi:10.1021/acs.orglett.5c03242
description: Related Article: Chen-Ling Chang|2023|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: 10.15156/bio/sh1085902.10fu
title: SH1085902.10FU

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/sh1085917.10fu
title: SH1085917.10FU

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/sh1085919.10fu
title: SH1085919.10FU

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/sh1085940.10fu
title: SH1085940.10FU

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/sh1085944.10fu
title: SH1085944.10FU

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/sh1085949.10fu
title: SH1085949.10FU

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/sh1085954.10fu
title: SH1085954.10FU

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/sh1085955.10fu
title: SH1085955.10FU

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/sh1085958.10fu
title: SH1085958.10FU

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.