cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc25p0qm
title: CCDC 2016200: Experimental Crystal Structure Determination

description: Related Article: Hsiang-Hua Hsieh, Meng-Hsiu Tu, Yu-Chia Su, Bao-Tsan Ko, Amitabha Datta, Yu-Fang Zeng, Ching-Han Hu, Jui-Hsien Huang|2021|Inorg.Chim.Acta|516|120127|doi:10.1016/j.ica.2020.120127
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.cc25nzvp
title: CCDC 2016173: Experimental Crystal Structure Determination

description: Related Article: Shixun Wang, Jasminka Popović, Sanja Burazer, Arsenii Portniagin, Fangzhou Liu, Kam-Hung Low, Zonghui Duan, Yanxiu Li, Yuan Xiong, Yuanming Zhu, Stephen V. Kershaw, Aleksandra B. Djurišić, Andrey L. Rogach|2021|Adv.Funct.Mater.|31|2102182|doi:10.1002/adfm.202102182
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.cc25p1rp
title: CCDC 2016232: Experimental Crystal Structure Determination

description: Related Article: Atsushi Ueda,  Misuzu Ikeda,  Takuya Kasae,  Mitsunobu Doi,  Yosuke Demizu,  Makoto Oba,  Masakazu Tanaka|2020|Chem. Sel.|5|10882|doi:10.1002/slct.202002888
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.cc25p0b7
title: CCDC 2016188: Experimental Crystal Structure Determination

description: Related Article: Alona S. Cherednichenko,  Ludmyla V. Bezgubenko,  Eduard B. Rusanov,  Petro P. Onys'ko,  Yuliya V. Rassukana|2020|Chem. Sel.|5|13569|doi:10.1002/slct.202003500
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.cc25p1sq
title: CCDC 2016233: Experimental Crystal Structure Determination

description: Related Article: Atsushi Ueda,  Misuzu Ikeda,  Takuya Kasae,  Mitsunobu Doi,  Yosuke Demizu,  Makoto Oba,  Masakazu Tanaka|2020|Chem. Sel.|5|10882|doi:10.1002/slct.202002888
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.cc25p0c8
title: CCDC 2016189: Experimental Crystal Structure Determination

description: Related Article: Alona S. Cherednichenko,  Ludmyla V. Bezgubenko,  Eduard B. Rusanov,  Petro P. Onys'ko,  Yuliya V. Rassukana|2020|Chem. Sel.|5|13569|doi:10.1002/slct.202003500
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.cc25p0jf
title: CCDC 2016194: Experimental Crystal Structure Determination

description: Related Article: Chengmin Ji, Sasa Wang, Lina Li, Zhihua Sun, Maochun Hong, Junhua Luo|2019|Adv.Funct.Mater.|29|1805038|doi:10.1002/adfm.201805038
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.cc25p0kg
title: CCDC 2016195: Experimental Crystal Structure Determination

description: Related Article: Chengmin Ji, Sasa Wang, Lina Li, Zhihua Sun, Maochun Hong, Junhua Luo|2019|Adv.Funct.Mater.|29|1805038|doi:10.1002/adfm.201805038
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.cc25bj46
title: CCDC 2006107: Experimental Crystal Structure Determination

description: Related Article: Benita Barton, Mino R. Caira, Daniel V. Jooste, Eric C. Hosten|2021|J.Inclusion Phenom.Macrocyclic Chem.|99|235|doi:10.1007/s10847-020-01037-3
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.cc25p120
title: CCDC 2016211: Experimental Crystal Structure Determination

description: Related Article: Shenghua Gao, Xuezhi Gao, Zhezhou Yang, Fuli Zhang|2020|Org.Process Res.Dev.|24|555|doi:10.1021/acs.oprd.9b00553
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.cc25p1c9
title: CCDC 2016220: Experimental Crystal Structure Determination

description: Related Article: Hendrik Naatz, Bella B. Manshian, Carla Rios Luci, Vasiliki Tsikourkitoudi, Yiannis Deligiannakis, Johannes Birkenstock, Suman Pokhrel, Lutz Mädler, Stefaan J. Soenen|2020|Angew.Chem.,Int.Ed.|59|1828|doi:10.1002/anie.201912312
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.cc25p1nl
title: CCDC 2016229: Experimental Crystal Structure Determination

description: Related Article: Yanyu Qi, Wenjun Xu, Nannan Ding, Xingmao Chang, Congdi Shang, Haonan Peng, Taihong Liu, Yu Fang|2019|Mater. Chem. Front.|3|1218|doi:10.1039/C9QM00095J
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.cc25p1tr
title: CCDC 2016234: Experimental Crystal Structure Determination

description: Related Article: Tobias H. G. Schick, Frank Rominger, Michael Mastalerz|2020|J.Org.Chem.|85|13757|doi:10.1021/acs.joc.0c01887
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.cc25p1vs
title: CCDC 2016235: Experimental Crystal Structure Determination

description: Related Article: Tobias H. G. Schick, Frank Rominger, Michael Mastalerz|2020|J.Org.Chem.|85|13757|doi:10.1021/acs.joc.0c01887
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.cc25p1yw
title: CCDC 2016238: Experimental Crystal Structure Determination

description: Related Article: Dany Pechalrieu, Daniel Dauzonne, Paola B. Arimondo, Marie Lopez|2020|Eur.J.Med.Chem.|186|111829|doi:10.1016/j.ejmech.2019.111829
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.cc25p3ff
title: CCDC 2016284: Experimental Crystal Structure Determination

description: Related Article: Valerii Y. Sirenko, Olesia I. Kucheriv, Aurelian Rotaru, Igor O. Fritsky, Il'ya A. Gural'skiy|2020|Eur.J.Inorg.Chem.|2020|4523|doi:10.1002/ejic.202000848
description: Related Article: Valerii Y. Sirenko, Olesia I. Kucheriv, Aurelian Rotaru, Igor O. Fritsky, Il'ya A. Gural'skiy|2020|Eur.J.Inorg.Chem.|48|4523|doi:10.1002/ejic.202000848
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.cc25p1zx
title: CCDC 2016239: Experimental Crystal Structure Determination

description: Related Article: Dany Pechalrieu, Daniel Dauzonne, Paola B. Arimondo, Marie Lopez|2020|Eur.J.Med.Chem.|186|111829|doi:10.1016/j.ejmech.2019.111829
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.cc25p20z
title: CCDC 2016240: Experimental Crystal Structure Determination

description: Related Article: Dany Pechalrieu, Daniel Dauzonne, Paola B. Arimondo, Marie Lopez|2020|Eur.J.Med.Chem.|186|111829|doi:10.1016/j.ejmech.2019.111829
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.cc25p210
title: CCDC 2016241: Experimental Crystal Structure Determination

description: Related Article: Dany Pechalrieu, Daniel Dauzonne, Paola B. Arimondo, Marie Lopez|2020|Eur.J.Med.Chem.|186|111829|doi:10.1016/j.ejmech.2019.111829
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.cc25p2cb
title: CCDC 2016251: Experimental Crystal Structure Determination

description: Related Article: Ajmal Khan, Heng Zhao, Meina Zhang, Shahid Khan, Depeng Zhao|2020|Angew.Chem.,Int.Ed.|59|1340|doi:10.1002/anie.201910378
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.38fqez
title: Occurrence Download

description: A dataset containing 22071307 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 22071307 records from 2330 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056290-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/11460988
title: Global Genomic Neurofibromatosis Neoplasia
DOI: 10.15468/dl.t5g7r5
title: Occurrence Download

description: A dataset containing 30830 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Eschrichtius robustus (Lilljeborg, 1861)"
 ]
}

 The dataset includes 30830 records from 98 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005685-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1081394.10fu
title: SH1081394.10FU

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/sh1081396.10fu
title: SH1081396.10FU

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/sh1081399.10fu
title: SH1081399.10FU

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/sh1081404.10fu
title: SH1081404.10FU

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/sh1081406.10fu
title: SH1081406.10FU

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/sh1081407.10fu
title: SH1081407.10FU

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/sh1081408.10fu
title: SH1081408.10FU

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/sh1081411.10fu
title: SH1081411.10FU

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.