cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2pqhtr
title: CCDC 2494285: Experimental Crystal Structure Determination

description: Related Article: Benedito Donizeti Botan‐Neto, David Santamaria‐Perez, Julia Bungarten, Lkhamsuren Bayarjargal, Björn Winkler, Alberto Otero‐de‐la‐Roza, Bihan Wang|2026|Angew.Chem.,Int.Ed.|65|e24999|doi:10.1002/anie.202524999
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.cc2pqhvs
title: CCDC 2494286: Experimental Crystal Structure Determination

description: Related Article: Benedito Donizeti Botan‐Neto, David Santamaria‐Perez, Julia Bungarten, Lkhamsuren Bayarjargal, Björn Winkler, Alberto Otero‐de‐la‐Roza, Bihan Wang|2026|Angew.Chem.,Int.Ed.|65|e24999|doi:10.1002/anie.202524999
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.cc2pqkxx
title: CCDC 2494350: Experimental Crystal Structure Determination

description: Related Article: Haoran Yang, Jiawei Liu, Changmeng Yang, Dunru Zhu, Ruwei Shen|2026|Org.Chem.Front.|||doi:10.1039/d5qo01594d
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.cc2pqr8g
title: CCDC 2494516: Experimental Crystal Structure Determination

description: Related Article: Yu‐Hang Mi, Zhi‐Yu Wang, Ya‐Hui Wang, Kuo Wang, Yue Zhang, Ya‐Qi Yang, Xian‐Yi Huang, Shun‐Xin Zhang, Hong‐Wu Zhao|2026|Eur.J.Org.Chem.|29|e202501126|doi:10.1002/ejoc.202501126
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.cc2l696b
title: CCDC 2389331: Experimental Crystal Structure Determination

description: Related Article: Xuewen Cao, Jiacheng Zhang, Jinjiao Pan, Yan Li, Yue Ma, Xinfeng Du, Lijuan Feng, Boyang Huang, Yihui Yuan, Liang Mao, Ning Wang, Abdullah M. Al-Enizi, Ayman Nafady, Shengqian Ma|2026|Adv. Sci.|13|e17224|doi:10.1002/advs.202517224
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.ccz4p92
title: CCDC 898234: Experimental Crystal Structure Determination

description: Related Article: L. V. Frantsuzova,  D. P. Gerasimova,  L. S. Kosolapova,  N. S. Charushin,  A. R. Kurbangalieva,  O. A. Lodochnikova|2026|J.Struct.Chem.|67|75|doi:10.1134/S0022476626010087
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.31430164
title: Spinning strings

description: This is about the way the quantum of flux is carried between the monopoles and time begis to count
DOI: 10.6084/m9.figshare.31430164.v1
title: Spinning strings

description: This is about the way the quantum of flux is carried between the monopoles and time begis to count
DOI: 10.5517/ccdc.csd.cc2nz8vs
title: CCDC 2471966: Experimental Crystal Structure Determination

description: Related Article: L. V. Frantsuzova,  D. P. Gerasimova,  L. S. Kosolapova,  N. S. Charushin,  A. R. Kurbangalieva,  O. A. Lodochnikova|2026|J.Struct.Chem.|67|75|doi:10.1134/S0022476626010087
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.cc2prmy1
title: CCDC 2495374: Experimental Crystal Structure Determination

description: Related Article: I. N. Kolesnikova,  I. I. Marochkin,  P. Yu. Sharanov,  A. D. Shuvaev,  S. V. Portnov,  L. L. Fershtat,  I. F. Shishkov|2026|J.Struct.Chem.|67|134|doi:10.1134/S0022476626010142
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.cc2prnkp
title: CCDC 2495393: Experimental Crystal Structure Determination

description: Related Article: Sebastian Anhäuser, Ana M. Valencia, Sergei I. Ivlev, Marc Zeplichal, Andreas Terfort, Caterina Cocchi, Gregor Witte|2026|Adv.Funct.Mater.|36|e30499|doi:10.1002/adfm.202530499
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.cc2prnlq
title: CCDC 2495394: Experimental Crystal Structure Determination

description: Related Article: Sebastian Anhäuser, Ana M. Valencia, Sergei I. Ivlev, Marc Zeplichal, Andreas Terfort, Caterina Cocchi, Gregor Witte|2026|Adv.Funct.Mater.|36|e30499|doi:10.1002/adfm.202530499
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.cc2prnmr
title: CCDC 2495395: Experimental Crystal Structure Determination

description: Related Article: Sebastian Anhäuser, Ana M. Valencia, Sergei I. Ivlev, Marc Zeplichal, Andreas Terfort, Caterina Cocchi, Gregor Witte|2026|Adv.Funct.Mater.|36|e30499|doi:10.1002/adfm.202530499
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.vyn9dx
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040850-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4hrnb4
title: Occurrence Download

description: A dataset containing 642226154 species occurrences available in GBIF matching the query:
{ }

 The dataset includes 642226154 records from 14000 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001590-160803222355964/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.covhsz
title: Occurrence Download

description: A dataset containing 1829339514 species occurrences available in GBIF matching the query:
{ }

 The dataset includes 1829339514 records from 17304 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000127-170817152713382/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1432549.10fu
title: SH1432549.10FU

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/sh1432550.10fu
title: SH1432550.10FU

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/sh1432551.10fu
title: SH1432551.10FU

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/sh1432552.10fu
title: SH1432552.10FU

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/sh1432553.10fu
title: SH1432553.10FU

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/sh1432554.10fu
title: SH1432554.10FU

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/sh1432556.10fu
title: SH1432556.10FU

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/sh1432557.10fu
title: SH1432557.10FU

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: 10.60712/si-id114226.1
title: StrainInfo SI-ID 114226.1

description: StrainInfo dataset 114226 about a strain of Salmonella enterica subsp. arizonae. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id114227.1
title: StrainInfo SI-ID 114227.1

description: StrainInfo dataset 114227 about a strain of Salmonella enterica subsp. arizonae. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id114228.1
title: StrainInfo SI-ID 114228.1

description: StrainInfo dataset 114228 about a strain of Salmonella enterica subsp. arizonae. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id114118.1
title: StrainInfo SI-ID 114118.1

description: StrainInfo dataset 114118 about a strain of Coniochaeta lignicola. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id114119.1
title: StrainInfo SI-ID 114119.1

description: StrainInfo dataset 114119 about a strain of Bipolaris yamadae. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id114120.1
title: StrainInfo SI-ID 114120.1

description: StrainInfo dataset 114120 about a strain of Phytophthora megasperma. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id114166.1
title: StrainInfo SI-ID 114166.1

description: StrainInfo dataset 114166 about a strain of Saccharomyces cerevisiae. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id114167.1
title: StrainInfo SI-ID 114167.1

description: StrainInfo dataset 114167 about a strain of Saccharomyces cerevisiae. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id114168.1
title: StrainInfo SI-ID 114168.1

description: StrainInfo dataset 114168 about a strain of Saccharomyces cerevisiae. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id114229.1
title: StrainInfo SI-ID 114229.1

description: StrainInfo dataset 114229 about a strain of Salmonella enterica subsp. arizonae. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id114230.1
title: StrainInfo SI-ID 114230.1

description: StrainInfo dataset 114230 about a strain of Salmonella enterica subsp. arizonae. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id114231.1
title: StrainInfo SI-ID 114231.1

description: StrainInfo dataset 114231 about a strain of Salmonella enterica subsp. arizonae. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id114169.1
title: StrainInfo SI-ID 114169.1

description: StrainInfo dataset 114169 about a strain of Saccharomyces cerevisiae. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id114232.1
title: StrainInfo SI-ID 114232.1

description: StrainInfo dataset 114232 about a strain of Salmonella enterica subsp. arizonae. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id114170.1
title: StrainInfo SI-ID 114170.1

description: StrainInfo dataset 114170 about a strain of Saccharomyces cerevisiae. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.