cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc21dxv7
title: CCDC 1889259: Experimental Crystal Structure Determination

description: Related Article: Justyna Popiół,  Agnieszka Gunia-Krzyżak,  Kamil Piska,  Dorota Żelaszczyk,  Paulina Koczurkiewicz,  Karolina Słoczyńska,  Katarzyna Wójcik-Pszczoła,  Anna Krupa,  Agata Kryczyk-Poprawa,  Ewa Żesławska,  Wojciech Nitek,  Paweł Żmudzki,  Henryk Marona,  Elżbieta Pękala|2019|Molecules|24|2321|doi:10.3390/molecules24122321
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.cc21dxw8
title: CCDC 1889260: Experimental Crystal Structure Determination

description: Related Article: Justyna Popiół,  Agnieszka Gunia-Krzyżak,  Kamil Piska,  Dorota Żelaszczyk,  Paulina Koczurkiewicz,  Karolina Słoczyńska,  Katarzyna Wójcik-Pszczoła,  Anna Krupa,  Agata Kryczyk-Poprawa,  Ewa Żesławska,  Wojciech Nitek,  Paweł Żmudzki,  Henryk Marona,  Elżbieta Pękala|2019|Molecules|24|2321|doi:10.3390/molecules24122321
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.cc1q0jlv
title: CCDC 1579437: Experimental Crystal Structure Determination

description: Related Article: Jaap E. Borger, Grégoire Le Corre, Yanbo Mei, Riccardo Suter, Erik Schrader, Hansjörg Grützmacher|2019|Chem.-Eur.J.|25|3957|doi:10.1002/chem.201806116
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.cc1q0jnx
title: CCDC 1579439: Experimental Crystal Structure Determination

description: Related Article: Jaap E. Borger, Grégoire Le Corre, Yanbo Mei, Riccardo Suter, Erik Schrader, Hansjörg Grützmacher|2019|Chem.-Eur.J.|25|3957|doi:10.1002/chem.201806116
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.cc1yyc8j
title: CCDC 1815678: Experimental Crystal Structure Determination

description: Related Article: Jaap E. Borger, Grégoire Le Corre, Yanbo Mei, Riccardo Suter, Erik Schrader, Hansjörg Grützmacher|2019|Chem.-Eur.J.|25|3957|doi:10.1002/chem.201806116
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.cc21dxzc
title: CCDC 1889263: Experimental Crystal Structure Determination

description: Related Article: Andrii Lozynskyi, Borys Zimenkovsky, Iryna Ivasechko, Julia Senkiv, Andrzej Gzella, Olexandr Karpenko, Rostyslav Stoika, Roman Lesyk|2019|Phosphorus,Sulfur,Silicon,Relat.Elem.|194|1149|doi:10.1080/10426507.2019.1633318
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.cc1yyc6g
title: CCDC 1815676: Experimental Crystal Structure Determination

description: Related Article: Jaap E. Borger, Grégoire Le Corre, Yanbo Mei, Riccardo Suter, Erik Schrader, Hansjörg Grützmacher|2019|Chem.-Eur.J.|25|3957|doi:10.1002/chem.201806116
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.cc21f21m
title: CCDC 1889389: Experimental Crystal Structure Determination

description: Related Article: Tripti Mandal,  Sudipta Pathak,  Arka Dey,  Md. Maidul Islam,  Saikat Kumar Seth,  Abdulla Al Masum,  Joaquín Ortega-Castro,  Partha Pratim Ray,  Antonio Frontera,  and Subrata Mukhopadhyay|2019|ACS Omega|4|7200|doi:10.1021/acsomega.9b00289
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.cc21f22n
title: CCDC 1889390: Experimental Crystal Structure Determination

description: Related Article: Tripti Mandal,  Sudipta Pathak,  Arka Dey,  Md. Maidul Islam,  Saikat Kumar Seth,  Abdulla Al Masum,  Joaquín Ortega-Castro,  Partha Pratim Ray,  Antonio Frontera,  and Subrata Mukhopadhyay|2019|ACS Omega|4|7200|doi:10.1021/acsomega.9b00289
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.cc21f23p
title: CCDC 1889391: Experimental Crystal Structure Determination

description: Related Article: Tripti Mandal,  Sudipta Pathak,  Arka Dey,  Md. Maidul Islam,  Saikat Kumar Seth,  Abdulla Al Masum,  Joaquín Ortega-Castro,  Partha Pratim Ray,  Antonio Frontera,  and Subrata Mukhopadhyay|2019|ACS Omega|4|7200|doi:10.1021/acsomega.9b00289
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.cc21dybr
title: CCDC 1889274: Experimental Crystal Structure Determination

description: Related Article: Chao Wang, Stephen R. Adams, Hongyan Xu, Wenlian Zhu, Eric T. Ahrens|2019|ACS Appl. Bio Mater.|2|3836|doi:10.1021/acsabm.9b00455
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.cc21dykz
title: CCDC 1889281: Experimental Crystal Structure Determination

description: Related Article: Satoshi D. Ohmura, Keisuke Yamana, Masaharu Ueno, Norikazu Miyoshi|2019|Chem. Sel.|4|3799|doi:10.1002/slct.201900076
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.cc21dyl0
title: CCDC 1889282: Experimental Crystal Structure Determination

description: Related Article: Satoshi D. Ohmura, Keisuke Yamana, Masaharu Ueno, Norikazu Miyoshi|2019|Chem. Sel.|4|3799|doi:10.1002/slct.201900076
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.cc21f2l5
title: CCDC 1889406: Experimental Crystal Structure Determination

description: Related Article: Fuxing Sun, Guangshan Zhu|2013|Inorg.Chem.Commun.|38|115|doi:10.1016/j.inoche.2013.10.018
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.cc21f2m6
title: CCDC 1889407: Experimental Crystal Structure Determination

description: Related Article: Fuxing Sun, Guangshan Zhu|2013|Inorg.Chem.Commun.|38|115|doi:10.1016/j.inoche.2013.10.018
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.cc21f2n7
title: CCDC 1889408: Experimental Crystal Structure Determination

description: Related Article: Fuxing Sun, Guangshan Zhu|2013|Inorg.Chem.Commun.|38|115|doi:10.1016/j.inoche.2013.10.018
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.cc21f2p8
title: CCDC 1889409: Experimental Crystal Structure Determination

description: Related Article: Fuxing Sun, Guangshan Zhu|2013|Inorg.Chem.Commun.|38|115|doi:10.1016/j.inoche.2013.10.018
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.cc21f0k2
title: CCDC 1889343: Experimental Crystal Structure Determination

description: Related Article: Xiaoping Wang,  Danfeng Huang,  Ke-Hu Wang,  Yingpeng Su,  Yulai Hu|2019|J.Org.Chem.|84|6946 |doi:10.1021/acs.joc.9b00733
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.cc21f0xf
title: CCDC 1889354: Experimental Crystal Structure Determination

description: Related Article: U. Amrutha,  Beneesh P.Babu,  Sreedharan Prathapan|2019|J.Heterocycl.Chem.|56|3236|doi:10.1002/jhet.3718
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.cc21f10k
title: CCDC 1889357: Experimental Crystal Structure Determination

description: Related Article: Jin Hong Kim|2019|CSD Communication|||
description: Related Article: Jin Hong Kim, Sangyoon Oh, Sang Kyu Park, Soo Young Park|2019|Adv. Electron. Mater.|5|1900478|doi:10.1002/aelm.201900478
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.cc21f13n
title: CCDC 1889360: Experimental Crystal Structure Determination

description: Related Article: Alessandro Cerveri,  Olalla Nieto Faza,  Carlos Silva López,  Stefano Grilli,  Magda Monari,  Marco Bandini|2019|J.Org.Chem.|84|6347 |doi:10.1021/acs.joc.9b00559
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.cc21f14p
title: CCDC 1889361: Experimental Crystal Structure Determination

description: Related Article: Satej S. Deshmukh,  Shahaji R. Gaikwad,  Nilesh R. Mote,  Manod M,  Rajesh G. Gonnade,  Samir H. Chikkali|2019|ACS Omega|4|9502|doi:10.1021/acsomega.9b00709
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: 10.6084/m9.figshare.28755017
title: U-Net GIS Data

description: The GIS database used in this project serves as a centralized repository for all spatial datasets required for wildfire threat analysis and model training. It includes CAL FIRE’s Wildland Fire Threat layer, which provides pixel-based classifications of wildfire potential across California, as well as transportation infrastructure layers, including primary and secondary roads and railways.<br>To support impact analysis, 1,000-foot buffer zones were generated around each infrastructure feature to define zones of interest for wildfire segmentation. The database is structured for integration into both machine learning workflows and GIS environments, enabling seamless overlay, visualization, and spatial querying within platforms such as ArcGIS Pro or QGIS.
DOI: 10.5281/zenodo.14011058
title: Discovering Unobvious Targetable Conformation of RhoA Mutant by Ultraviolet Photodissociation
DOI: 10.5281/zenodo.14011057
title: Discovering Unobvious Targetable Conformation of RhoA Mutant by Integrating Ultraviolet Photodissociation and X-Ray Diffraction
DOI: 10.5281/zenodo.15201189
title: Discovering Unobvious Targetable Conformation of RhoA Mutant by Integrating Ultraviolet Photodissociation and X-Ray Diffraction
DOI: 10.15156/bio/sh1079067.10fu
title: SH1079067.10FU

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/sh1079068.10fu
title: SH1079068.10FU

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/sh1079069.10fu
title: SH1079069.10FU

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/sh1079070.10fu
title: SH1079070.10FU

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/sh1079078.10fu
title: SH1079078.10FU

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/sh1079084.10fu
title: SH1079084.10FU

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/sh1079085.10fu
title: SH1079085.10FU

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.