cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh260970.07fu
title: SH260970.07FU

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/sh260971.07fu
title: SH260971.07FU

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/sh260972.07fu
title: SH260972.07FU

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/sh260973.07fu
title: SH260973.07FU

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/sh260974.07fu
title: SH260974.07FU

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/sh260975.07fu
title: SH260975.07FU

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: 10.21258/1374705
title: Swiss national forest inventory - Result table No. 201256
DOI: 10.21258/1374706
title: Swiss national forest inventory - Result table No. 201248
DOI: 10.21258/1374707
title: Swiss national forest inventory - Result table No. 201246
DOI: 10.18112/openneuro.ds003835.v1.0.0
title: PE-Update
DOI: 10.15468/w9qfzp
title: Materials on the fauna of true bugs (Heteroptera) of East Kazakhstan Region of the Republic of Kazakhstan

description: This dataset contains the digitized treatments in Plazi based on the original journal article Vinokurov, Nikolay N., Rudoi, Valentin V. (2020): Materials on the fauna of true bugs (Heteroptera) of East Kazakhstan Region of the Republic of Kazakhstan. Acta Biologica Sibirica 6: 249-277, DOI: http://dx.doi.org/10.3897/abs.6.e54151, URL: http://dx.doi.org/10.3897/abs.6.e54151
DOI: 10.15468/etxmmz
title: New data on spiders (Arachnida, Aranei) of Kamchatka, Russia

description: This dataset contains the digitized treatments in Plazi based on the original journal article Marusik, Yuri M., Nekhaeva, Anna A. (2020): New data on spiders (Arachnida, Aranei) of Kamchatka, Russia. Acta Biologica Sibirica 6: 649-668, DOI: http://dx.doi.org/10.3897/abs.6.e60005, URL: http://dx.doi.org/10.3897/abs.6.e60005
DOI: 10.15468/38df3h
title: A review of leaf-miner tephritid flies (Diptera, Tephritidae) of the south-eastern part of West Siberia, Russia

description: This dataset contains the digitized treatments in Plazi based on the original journal article Shcherbakov, Mikhail V. (2020): A review of leaf-miner tephritid flies (Diptera, Tephritidae) of the south-eastern part of West Siberia, Russia. Acta Biologica Sibirica 6: 637-647, DOI: http://dx.doi.org/10.3897/abs.6.e59735, URL: http://dx.doi.org/10.3897/abs.6.e59735
DOI: 10.15468/z5wxy9
title: A review of Apha floralis species group (Lepidoptera: Eupterotidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Zolotuhin, Vadim V., Pugaev, Sergey N., Du, Tran Thieu (2020): A review of Apha floralis species group (Lepidoptera: Eupterotidae). Acta Biologica Sibirica 6: 611-635, DOI: http://dx.doi.org/10.3897/abs.6.e59529, URL: http://dx.doi.org/10.3897/abs.6.e59529
DOI: 10.15468/f3rvr3
title: New records of water scavenger beetles Berosus geminus Reiche & Saulcy, 1856 (Coleoptera: Hydrophilidae) from Russia

description: This dataset contains the digitized treatments in Plazi based on the original journal article Sazhnev, Alexey S. (2020): New records of water scavenger beetles Berosus geminus Reiche & Saulcy, 1856 (Coleoptera: Hydrophilidae) from Russia. Acta Biologica Sibirica 6: 423-428, DOI: http://dx.doi.org/10.3897/abs.6.e52360, URL: http://dx.doi.org/10.3897/abs.6.e52360
DOI: 10.15468/75tjrr
title: A new genus of Liocranidae (Arachnida: Araneae) from Tajikistan

description: This dataset contains the digitized treatments in Plazi based on the original journal article Marusik, Yuri M., Fomichev, Alexander A. (2020): A new genus of Liocranidae (Arachnida: Araneae) from Tajikistan. Acta Biologica Sibirica 6: 583-594, DOI: http://dx.doi.org/10.3897/abs.6.e59687, URL: http://dx.doi.org/10.3897/abs.6.e59687
DOI: 10.15468/gkq4yg
title: Additions to the vascular flora of the Tyumen region, Western Siberia

description: This dataset contains the digitized treatments in Plazi based on the original journal article Kapitonova, Olga A. (2020): Additions to the vascular flora of the Tyumen region, Western Siberia. Acta Biologica Sibirica 6: 339-355, DOI: http://dx.doi.org/10.3897/abs.6.e52696, URL: http://dx.doi.org/10.3897/abs.6.e52696
DOI: 10.15468/najhxc
title: First records of the Dendroxena quadrimaculata (Scopoli, 1771) (Coleoptera, Silphidae) in Tyumen region and possible reasons for its range expansion in Western Siberia

description: This dataset contains the digitized treatments in Plazi based on the original journal article Stolbov, Vitaly A., Sergeeva, Elena V. (2020): First records of the Dendroxena quadrimaculata (Scopoli, 1771) (Coleoptera, Silphidae) in Tyumen region and possible reasons for its range expansion in Western Siberia. Acta Biologica Sibirica 6: 369-374, DOI: http://dx.doi.org/10.3897/abs.6.e53528, URL: http://dx.doi.org/10.3897/abs.6.e53528
DOI: 10.15468/btke9x
title: First record of soft-winged flower beetles (Coleoptera, Malachiidae) in a late Pleistocene deposit from West Siberia with a review of known Quaternary data

description: This dataset contains the digitized treatments in Plazi based on the original journal article Tshernyshev, Sergei E., Dudko, Roman Yu., Gurina, Anna A., Legalov, Andrei A. (2021): First record of soft-winged flower beetles (Coleoptera, Malachiidae) in a late Pleistocene deposit from West Siberia with a review of known Quaternary data. Acta Biologica Sibirica 7: 1-19, DOI: http://dx.doi.org/10.3897/abs.7.e60615, URL: http://dx.doi.org/10.3897/abs.7.e60615
DOI: 10.15468/fwd8b8
title: Rare grasshoppers (Orthoptera, Acridoidea) of the Baraba and Kulunda steppes (South Siberia)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Popova, Kristina V., Molodtsov, Vladimir V., Sergeev, Michael G. (2020): Rare grasshoppers (Orthoptera, Acridoidea) of the Baraba and Kulunda steppes (South Siberia). Acta Biologica Sibirica 6: 595-609, DOI: http://dx.doi.org/10.3897/abs.6.e59519, URL: http://dx.doi.org/10.3897/abs.6.e59519
DOI: 10.5517/ccdc.csd.cc277zbt
title: CCDC 2063246: Experimental Crystal Structure Determination

description: Related Article:  Friederike Lünne, Jens Köhler, Christina Stroh, Lena Müller, Constantin G. Daniliuc, Christian Mück-Lichtenfeld, Ernst-Ulrich Würthwein, Melanie Esselen, Hans-Ulrich Humpf, Svetlana A. Kalinina|2021|J.Nat.Prod.|84|2630|doi:10.1021/acs.jnatprod.1c00264
DOI: 10.5517/ccdc.csd.cc27qth9
title: CCDC 2077511: Experimental Crystal Structure Determination

description: Related Article: Wenkui Yuan|2021|CSD Communication|||
description: Related Article: Wen-Kui Yuan, Bing-Feng Shi|2021|Angew.Chem.,Int.Ed.|60|23187|doi:10.1002/anie.202108853
DOI: 10.5517/ccdc.csd.cc27v4t2
title: CCDC 2080714: Experimental Crystal Structure Determination

description: Related Article: Mitchell R. Silk, Jason R. Price, Biswaranjan Mohanty, Hanna-Kirsti S. Leiros, Bjarte A. Lund, Martin J. Scanlon, Philip E. Thompson and David K. Chalmers|2021|Chem.-Eur.J.|27|14489|doi:10.1002/chem.202102106
DOI: 10.5517/ccdc.csd.cc280jb5
title: CCDC 2085876: Experimental Crystal Structure Determination

description: Related Article: Mitchell R. Silk, Jason R. Price, Biswaranjan Mohanty, Hanna-Kirsti S. Leiros, Bjarte A. Lund, Martin J. Scanlon, Philip E. Thompson and David K. Chalmers|2021|Chem.-Eur.J.|27|14489|doi:10.1002/chem.202102106
DOI: 10.5517/ccdc.csd.cc281hb5
title: CCDC 2086806: Experimental Crystal Structure Determination

description: Related Article:  Zhong-Hui Huang, Xiao Liang, Chan-Juan Li, Qiong Gu, Xuan Ma, Shu-Hua Qi|2021|J.Nat.Prod.|84|2727|doi:10.1021/acs.jnatprod.1c00681
DOI: 10.5517/ccdc.csd.cc281hc6
title: CCDC 2086807: Experimental Crystal Structure Determination

description: Related Article:  Zhong-Hui Huang, Xiao Liang, Chan-Juan Li, Qiong Gu, Xuan Ma, Shu-Hua Qi|2021|J.Nat.Prod.|84|2727|doi:10.1021/acs.jnatprod.1c00681
DOI: 10.5517/ccdc.csd.cc281hd7
title: CCDC 2086808: Experimental Crystal Structure Determination

description: Related Article:  Zhong-Hui Huang, Xiao Liang, Chan-Juan Li, Qiong Gu, Xuan Ma, Shu-Hua Qi|2021|J.Nat.Prod.|84|2727|doi:10.1021/acs.jnatprod.1c00681
DOI: 10.5517/ccdc.csd.cc2833k2
title: CCDC 2088363: Experimental Crystal Structure Determination

description: Related Article:  Zhong-Hui Huang, Xiao Liang, Chan-Juan Li, Qiong Gu, Xuan Ma, Shu-Hua Qi|2021|J.Nat.Prod.|84|2727|doi:10.1021/acs.jnatprod.1c00681
DOI: 10.5517/ccdc.csd.cc286bys
title: CCDC 2091475: Experimental Crystal Structure Determination

description: Related Article: A.A. Zagidullin, M.N. Khrizanforov, I.A. Bezkishko, P. Lönnecke, E. Hey-Hawkins, V.A. Miluykov|2021|J.Organomet.Chem.|956|122122|doi:10.1016/j.jorganchem.2021.122122
DOI: 10.5517/ccdc.csd.cc28gc9f
title: CCDC 2099174: Experimental Crystal Structure Determination

description: Related Article: Arimasa Matsumoto, Ayame Tanaka, Yoshiyasu Kaimori, Natsuki Hara, Yuji Mikata, Kenso Soai|2021|Chem.Commun.|57|11209|doi:10.1039/D1CC04206H
DOI: 10.5517/ccdc.csd.cc28gsl4
title: CCDC 2099586: Experimental Crystal Structure Determination

description: Related Article: Angus C. G. Shephard, Safaa H. Ali, Jun Wang, Zhifang Guo, Murray S. Davies, Glen B. Deacon, Peter C. Junk|2021|Dalton Trans.|50|14653|doi:10.1039/D1DT02513A
DOI: 10.6084/m9.figshare.16823437.v1
title: Data & Analysis

description: Interview data
DOI: 10.18112/openneuro.ds003835.v1.0.1
title: PE-Update
DOI: 10.15139/s3/tf4jkw
title: Ann Arbor Moving Together Towards Vision Zero: City of Ann Arbor Comprehensive Transportation Plan (2021). Ann Arbor, Michigan

description: Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.
DOI: 10.15139/s3/wpgj4w
title: Vision Zero: City of Philadelphia Vision Zero Action Plan 2025 (2020). Philadelphia, Pennsylvania

description: Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.
DOI: 10.15468/9pshs7
title: Fauna marina de la costa vasca - Sistema de Información de la Naturaleza de Euskadi

description: Pendiente de cargar los datos del Endpoint.
DOI: 10.5281/zenodo.5602059
title: Point and Nonpoint Proportion of Potentially Contaminated Supply (PPCS) for 116 United States cities

description: Point and nonpoint PPCS metrics (and additional metrics) computed for 116 United States cities using gamut (Geospatial Analytics for Multisectoral Urban Teleconnections)---https://doi.org/10.5281/zenodo.5590217. These results are described in the following publication: Turner, S.W.D., Rice, J., Nelson, K., Vernon, C., McManamay, R., Dickson, K., and Marston, L. (accepted manuscript) Comparison of potential drinking water source contamination across one hundred U.S. cities. <em>Nature Communications</em>.
DOI: 10.5281/zenodo.5602058
title: Point and Nonpoint Proportion of Potentially Contaminated Supply (PPCS) for 116 United States cities

description: Point and nonpoint PPCS metrics (and additional metrics) computed for 116 United States cities using gamut (Geospatial Analytics for Multisectoral Urban Teleconnections)---https://doi.org/10.5281/zenodo.5590217. These results are described in the following publication: Turner, S.W.D., Rice, J., Nelson, K., Vernon, C., McManamay, R., Dickson, K., and Marston, L. (accepted manuscript) Comparison of potential drinking water source contamination across one hundred U.S. cities. <em>Nature Communications</em>.
DOI: 10.25345/c5gk2g
title: MassIVE MSV000088267 - Prevalent, protective, and convergent IgG recognition of SARS-CoV-2 non-RBD spike epitopes
title: Peptides derived from SARS-CoV-2 spike protein-reactive antibodies isolated from convalescent plasma from subjects recovering from COVID-19.
DOI: 10.6084/m9.figshare.16776124.v1
title: NUCLEAR ENHANCEMENT TABLE

description: The table details all energy levels of nuclear enhancement starting before the formation of the nucleus, where mass is in motion as dark matter and anti-dark matter which is preceded by the realm of motionless mass. The nucleus enhances through the level of the solar system, the level of the galactic system and balances at the level of the universal system. The table accounts for motionless mass, dark matter and anti-dark matter, nuclear formation of matter and antimatter, solar level of matter and antimatter, the galactic level of matter and antimatter and the universal level of matter and antimatter
DOI: 10.5281/zenodo.5602077
title: Brustiarius nox RB0369 NOVOGENE decontaminated FSCR

description: .
DOI: 10.5281/zenodo.5602076
title: Brustiarius nox RB0369 NOVOGENE decontaminated FSCR

description: .
DOI: 10.21227/ya9z-zk95
title: Equidistant and Uniform Data Augmentation for 3D Objects

description: Data augmentation is commonly used to increase the size and diversity of the datasets in machine learning. It is of particular importance to evaluate the robustness of the existing machine learning methods.With progress in geometrical and 3D machine learning, many methods exist to augment a 3D object, from the generation of random orientations to exploring different perspectives of an object. In high-precision applications, the machine learning model must be robust with respect to the small perturbations of the input object.Therefore, there is a need for 3D data augmentation tools that consider the distribution of distance metrics between the original and augmented objects.Here we present Eurecon, the first 3D data augmentation approach with spatial control over the augmented samples.It generates objects uniformly distributed over a sphere and with the user-defined radius, which is a distance with respect to the original object.Eurecon is applicable to both point cloud and polygon mesh representations of the 3D objects, as demonstrated on the ModelNet dataset.The method is particularly useful in assessing and improving the machine learning model’s robustness with respect to the transformations of a small magnitude.We demonstrated the superior performance of a point cloud-based model (PointNet++) and a mesh-based model (MeshNet) when trained on datasets augmented with Eurecon, compared to non-augmented and randomly augmented models.
DOI: 10.18112/openneuro.ds003858.v1.0.1
title: Monetary Incentive Delay task
DOI: 10.5517/ccdc.csd.cc28gyj7
title: CCDC 2099739: Experimental Crystal Structure Determination

description: Related Article: Jun Yoshida, Kana Yamazaki, Kazunori Tateyama, Hidetaka Yuge, Hisako Sato|2021|Dalton Trans.|50|14611|doi:10.1039/D1DT02592A
DOI: 10.5517/ccdc.csd.cc28gyl9
title: CCDC 2099741: Experimental Crystal Structure Determination

description: Related Article: Jun Yoshida, Kana Yamazaki, Kazunori Tateyama, Hidetaka Yuge, Hisako Sato|2021|Dalton Trans.|50|14611|doi:10.1039/D1DT02592A
DOI: 10.5517/ccdc.csd.cc28h2rm
title: CCDC 2099870: Experimental Crystal Structure Determination

description: Related Article: Xiao-Yan Zhang, Ya-Ping Shao, Bao-Kuan Guo, Kun Zhang, Fu-Min Zhang, Xiao-Ming Zhang, Yong-Qiang Tu|2021|Chem.Commun.|57|11233|doi:10.1039/D1CC05205E
DOI: 10.5517/ccdc.csd.cc28j89d
title: CCDC 2101003: Experimental Crystal Structure Determination

description: Related Article: Hongrui Qi, Yiyan Yan, Yunfeng Liao, Furong Jiang, Hualan Gao, Guo-Jun Deng|2021|Org.Chem.Front.|8|6108|doi:10.1039/D1QO01125A
DOI: 10.5517/ccdc.csd.cc28jd07
title: CCDC 2101118: Experimental Crystal Structure Determination

description: Related Article: Lauren L. K. Taylor, Iñigo J. Vitorica-Yrezabal, Ivana Borilović, Floriana Tuna, Imogen A. Riddell|2021|Chem.Commun.|57|11252|doi:10.1039/D1CC04413C
DOI: 10.5517/ccdc.csd.cc28jxf5
title: CCDC 2101627: Experimental Crystal Structure Determination

description: Related Article: Cory J. Windorff, Maria J. Beltran-Leiva, Thomas E. Albrecht-Schönzart, Zhuanling Bai, Cristian Celis-Barros, Conrad A. P. Goodwin, Zachary Huffman, Noah C. McKinnon, Joseph M. Sperling|2021|Dalton Trans.|50|14537|doi:10.1039/D1DT03041H
DOI: 10.5517/ccdc.csd.cc28jxg6
title: CCDC 2101628: Experimental Crystal Structure Determination

description: Related Article: Cory J. Windorff, Maria J. Beltran-Leiva, Thomas E. Albrecht-Schönzart, Zhuanling Bai, Cristian Celis-Barros, Conrad A. P. Goodwin, Zachary Huffman, Noah C. McKinnon, Joseph M. Sperling|2021|Dalton Trans.|50|14537|doi:10.1039/D1DT03041H
DOI: 10.5517/ccdc.csd.cc28jxh7
title: CCDC 2101629: Experimental Crystal Structure Determination

description: Related Article: Cory J. Windorff, Maria J. Beltran-Leiva, Thomas E. Albrecht-Schönzart, Zhuanling Bai, Cristian Celis-Barros, Conrad A. P. Goodwin, Zachary Huffman, Noah C. McKinnon, Joseph M. Sperling|2021|Dalton Trans.|50|14537|doi:10.1039/D1DT03041H
DOI: 10.5517/ccdc.csd.cc28jxj8
title: CCDC 2101630: Experimental Crystal Structure Determination

description: Related Article: Cory J. Windorff, Maria J. Beltran-Leiva, Thomas E. Albrecht-Schönzart, Zhuanling Bai, Cristian Celis-Barros, Conrad A. P. Goodwin, Zachary Huffman, Noah C. McKinnon, Joseph M. Sperling|2021|Dalton Trans.|50|14537|doi:10.1039/D1DT03041H
DOI: 10.5517/ccdc.csd.cc27phbs
title: CCDC 2076235: Experimental Crystal Structure Determination

description: Related Article: Yongfei Li, Xiao Sun, Peiqiong Chen, Hou-Ting Liu, Jing Li, Dan Liu, Dacheng Li, Jianmin Dou, Haiquan Tian|2021|Dalton Trans.|50|14774|doi:10.1039/D1DT01237A
DOI: 10.5517/ccdc.csd.cc28k398
title: CCDC 2101809: Experimental Crystal Structure Determination

description: Related Article: Sanghyup Seo, Donghyeon Kim, Hyunwoo Kim|2021|Chem.Commun.|57|11240|doi:10.1039/D1CC04833C