cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc1ytwg3
title: CCDC 1812336: Experimental Crystal Structure Determination

description: Related Article: Feng Zhong|2017|CSD Communication|||
description: Related Article: Feng Zhong,  Wen-Jun Yue,  Hai-Jun Zhang,  Cheng-Yuan Zhang,  Liang Yin|2018|J.Am.Chem.Soc.|140|15170|doi:10.1021/jacs.8b09484
DOI: 10.5517/ccdc.csd.cc1ytwh4
title: CCDC 1812337: Experimental Crystal Structure Determination

description: Related Article: Feng Zhong|2017|CSD Communication|||
description: Related Article: Feng Zhong,  Wen-Jun Yue,  Hai-Jun Zhang,  Cheng-Yuan Zhang,  Liang Yin|2018|J.Am.Chem.Soc.|140|15170|doi:10.1021/jacs.8b09484
DOI: 10.5517/ccdc.csd.cc1ytwj5
title: CCDC 1812338: Experimental Crystal Structure Determination

description: Related Article: Feng Zhong|2017|CSD Communication|||
description: Related Article: Feng Zhong,  Wen-Jun Yue,  Hai-Jun Zhang,  Cheng-Yuan Zhang,  Liang Yin|2018|J.Am.Chem.Soc.|140|15170|doi:10.1021/jacs.8b09484
DOI: 10.5517/ccdc.csd.cc1zw455
title: CCDC 1843327: Experimental Crystal Structure Determination

description: Related Article: Martin Nieger, Malisch Wolfgang Mihael Boras|2018|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc1zwbpw
title: CCDC 1843529: Experimental Crystal Structure Determination

description: Related Article: Martin Nieger, Malisch Wolfgang Mihael Boras|2018|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc1zwd19
title: CCDC 1843571: Experimental Crystal Structure Determination

description: Related Article: Martin Nieger, Malisch Wolfgang Mihael Boras|2018|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc1zwdz7
title: CCDC 1843600: Experimental Crystal Structure Determination

description: Related Article: Martin Nieger, Malisch Wolfgang Mihael Boras|2018|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc1zwfq0
title: CCDC 1843623: Experimental Crystal Structure Determination

description: Related Article: Martin Nieger, Malisch Wolfgang Mihael Boras|2018|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc1zwkv8
title: CCDC 1843751: Experimental Crystal Structure Determination

description: Related Article: Martin Nieger, Malisch Wolfgang Holger Bera|2018|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc1zy4mp
title: CCDC 1845263: Experimental Crystal Structure Determination

description: Related Article: Yuling Li|2018|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc1zyyc7
title: CCDC 1846030: Experimental Crystal Structure Determination

description: Related Article: Roman S. Pavelyev, Oksana V. Bondar, Thi N.T. Nguyen, Alisa A. Ziganshina, Mohammad Al Farroukh, Rawdah Karwt, Gulnaz D. Alekbaeva, Mikhail V. Pugachev, Zilya R. Yamaleeva, Olga N. Kataeva, Konstantin V. Balakin, Yurii G. Shtyrlin|2018|Bioorg.Med.Chem.|26|5824|doi:10.1016/j.bmc.2018.10.031
description: Related Article: Zilya Yamaleeva, Olga Kataeva, Roman Pavelyev, Oksana Bondar, Thi Nguyen, Alisa Ziganshina, Mouhammad Farroukh, Karut Rawdah, Alekbaeva Gulnaz, Mikhail Pugachev, Konstantin Balakin, Yurii Shtyrlin|2018|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc20p080
title: CCDC 1867231: Experimental Crystal Structure Determination

description: Related Article: Maciej Kubicki |2018|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc20p866
title: CCDC 1867477: Experimental Crystal Structure Determination

description: Related Article: Mrinmay Mandal, Uwe Monkowius|2018|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc20pvbx
title: CCDC 1868039: Experimental Crystal Structure Determination

description: Related Article: Alexander Zubenko, Anatolii Morkovnik, Lyudmila Divaeva, Oleg Demidov|2018|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc20rwd2
title: CCDC 1869994: Experimental Crystal Structure Determination

description: Related Article: Maciej Kubicki|2018|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc20z5ry
title: CCDC 1876050: Experimental Crystal Structure Determination

description: Related Article: Zhong Feng|2018|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc218xmw
title: CCDC 1885408: Experimental Crystal Structure Determination

description: Related Article: Custelcean Radu, Neil Williams, Erick Holguin|2018|CSD Communication|||
DOI: 10.15468/548qek
title: A new species of Helmutkunzia Wells & Rao, 1976 from an intertidal sandy beach in Xiamen, China and proposal of Pseudobalucopsylla gen. nov. (Copepoda Harpacticoida, Miraciidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Mu, Fanghong, Huys, Rony (2021): A new species of Helmutkunzia Wells & Rao, 1976 from an intertidal sandy beach in Xiamen, China and proposal of Pseudobalucopsylla gen. nov. (Copepoda Harpacticoida, Miraciidae). Zootaxa 5051 (1): 487-505, DOI: https://doi.org/10.11646/zootaxa.5051.1.19
DOI: 10.15468/qcskc7
title: New species of Elaphoidella Chappuis, 1929 and Schizopera Sars, 1905 (Copepoda Harpacticoida) from two caves in northeastern and southern Thailand

description: This dataset contains the digitized treatments in Plazi based on the original journal article Watiroyram, Santi, Sanoamuang, La-Orsri, Brancelj, Anton (2021): New species of Elaphoidella Chappuis, 1929 and Schizopera Sars, 1905 (Copepoda Harpacticoida) from two caves in northeastern and southern Thailand. Zootaxa 5051 (1): 550-569, DOI: https://doi.org/10.11646/zootaxa.5051.1.22
DOI: 10.25345/c50p1s
title: MassIVE Reanalysis RMSV000000347.1 - MassIVE.quant reanalysis of Ssc of Lung Knockdown
title: Data from here MSV000084800. This data is on SSc of Lung Fibroblasts test
DOI: 10.5281/zenodo.5572871
title: Organizations—Crunchbase

description: El conjunto de datos<strong> extraído de Crunchbase</strong> aplicando la técnica del <em>web scraping</em> contiene 1.000 observaciones de organizaciones, una muestra muy pequeña del conjunto de datos potencial. El límite establecido se debe a razones de practicabilidad. La información recogida de Crunchbase es información comercial, donde es posible consultar, entre otros campos, las industrias en las que una organización opera «Industries», dónde se encuentra su sede «Headquarters Region», año de fundación «Founded Date», estado actual «Operating Status», email de contacto «Contact Email», teléfono de contacto «Phone Number», sus fundadores «Founders», si es un fondo en qué compañías y etapas invierte «Investment Stage», etc. Los tipos de organizaciones que se pueden observar en los datos son: Empresas Inversores Escuelas El dataset se ha elaborado con el objetivo de ayudar a los fondos de capital riesgo a dedicar menos tiempo buscando información y más tiempo cerrando acuerdos.
DOI: 10.5281/zenodo.5572870
title: Organizations—Crunchbase

description: El conjunto de datos<strong> extraído de Crunchbase</strong> aplicando la técnica del <em>web scraping</em> contiene 1.000 observaciones de organizaciones, una muestra muy pequeña del conjunto de datos potencial. El límite establecido se debe a razones de practicabilidad. La información recogida de Crunchbase es información comercial, donde es posible consultar, entre otros campos, las industrias en las que una organización opera «Industries», dónde se encuentra su sede «Headquarters Region», año de fundación «Founded Date», estado actual «Operating Status», email de contacto «Contact Email», teléfono de contacto «Phone Number», sus fundadores «Founders», si es un fondo en qué compañías y etapas invierte «Investment Stage», etc. Los tipos de organizaciones que se pueden observar en los datos son: Empresas Inversores Escuelas El dataset se ha elaborado con el objetivo de ayudar a los fondos de capital riesgo a dedicar menos tiempo buscando información y más tiempo cerrando acuerdos.
DOI: 10.48665/udec/cmhmeq/q1qyab
title: SDT18_Base de Datos 2016-2020.xlsx

description: :unav
DOI: 10.48665/udec/cmhmeq/rqpphq
title: SDT18_Base de Datos 2016-2021.xlsx

description: :unav
DOI: 10.6084/m9.figshare.16821004
title: Elko Basin stratigraphy and geochemistry

description: Supplementary data for paper by Canada, Cassel and Smith in G-cubed: <b>Geochemical evolution of Eocene lakes in the Nevada hinterland of the North American Cordillera</b>
DOI: 10.6084/m9.figshare.16821004.v1
title: Elko Basin stratigraphy and geochemistry

description: Supplementary data for paper by Canada, Cassel and Smith in G-cubed: <b>Geochemical evolution of Eocene lakes in the Nevada hinterland of the North American Cordillera</b>
DOI: 10.3886/e152542
title: Public Understanding of Artificial Intelligence through Entertainment Media

description: Our data was collected for a project on how media representations shape public perceptions of AI and then use what we learn to explore how we might better represent everyday interactions with AI to the public. We began by developing lists, taxonomies, and case studies of popular representations of AI and hypotheses about how the general public and elite groups discriminate between “good” and “bad” AI, and about how media representations help shape these perceptions. Our research questions include:What drives popular negativity about AI? Does the public have its reasons that the experts know not of? Or have the public adopted views of AI borne of misrepresentations?Do overtly dystopian representations of AI feed, or perhaps temper, public outrage about insidious issues with AI and machine learning such as the biases of search algorithms?Can we produce narratives on AI in different media modalities that are more nuanced and complex than just the false dichotomy of good and bad? Could a more accurately critical (and yet still exciting) model of AI themed entertainment be developed, once we’ve gained an understanding of how the public has been encountering AI?
DOI: 10.3886/e152542v1
title: Public Understanding of Artificial Intelligence through Entertainment Media

description: Our data was collected for a project on how media representations shape public perceptions of AI and then use what we learn to explore how we might better represent everyday interactions with AI to the public. We began by developing lists, taxonomies, and case studies of popular representations of AI and hypotheses about how the general public and elite groups discriminate between “good” and “bad” AI, and about how media representations help shape these perceptions. Our research questions include:What drives popular negativity about AI? Does the public have its reasons that the experts know not of? Or have the public adopted views of AI borne of misrepresentations?Do overtly dystopian representations of AI feed, or perhaps temper, public outrage about insidious issues with AI and machine learning such as the biases of search algorithms?Can we produce narratives on AI in different media modalities that are more nuanced and complex than just the false dichotomy of good and bad? Could a more accurately critical (and yet still exciting) model of AI themed entertainment be developed, once we’ve gained an understanding of how the public has been encountering AI?
DOI: 10.25345/c5vz8z
title: MassIVE MSV000088233 - A Network Approach to Identify Biomarkers of Differential Chemotherapy Response Using Patient-Derived Xenograft Models of Triple Negative Breast Cancer
title: The authors develop a novel computational algorithm that identified two signatures of differential response to platinum-based and taxane chemotherapies in breast cancer.
DOI: 10.5281/zenodo.5565457
title: Systematic over-crediting in California's forest carbon offsets program

description: A repository containing the input, intermediate, and final output data files underlying the analysis and figures in Badgley et al., “Systematic over-crediting in California’s forest carbon offsets program”.
DOI: 10.5281/zenodo.4630711
title: Systematic over-crediting in California's forest carbon offsets program

description: A repository containing the input, intermediate, and final output data files underlying the analysis and figures in Badgley et al., “Systematic over-crediting in California’s forest carbon offsets program”.
DOI: 10.25345/c5r55z
title: MassIVE Reanalysis RMSV000000349.1 - test-MSstats workflow maxquant test run#3
title: This is a test run for this data set. Test Run test-MSstats workflow maxquant test run#3
DOI: 10.6084/m9.figshare.16821034
title: Figure source files

description: Figure source files are provided based on the criteria defined by International Transactions on Electrical Energy Systems.
DOI: 10.6084/m9.figshare.16821034.v2
title: Figure source files

description: Figure source files are provided based on the criteria defined by International Transactions on Electrical Energy Systems.
DOI: 10.6084/m9.figshare.16821034.v1
title: A Comprehensive Study of Structure and Performance of a Novel Spoke-Type Permanent Magnet Induction Generator Utilized in Single-Turbine and Double-Turbine Systems

description: The figure source files are provided based on the criteria defined by International Transactions on Electrical Energy Systems.
DOI: 10.25919/q56d-9f74
title: Parkes observations for project P1131 semester 2021OCTS_01

description: Fast Radio Bursts (FRBs) are extragalactic radio transients with the duration time in the range of several microseconds to tens of milliseconds. The origin of them is still unclear. Ultraluminous X-ray Sources (ULXs) are objects that mostly discovered in external galaxies which host black holes or neutron stars, with isotropic luminosities exceeding the usual Eddington value for stellar-mass black holes. The host galaxies of ULXs, and their spatial offsets within their hosts, show broad similarities to those of FRB. Periodicity of days to years of some repeated FRBs could be attributed to the companion effect of ULXs. Moreover, pulsing ULXs (PULXs) which hots neutron stars may be the manifestation of accreting magnetars. Therefore, we propose targeted FRB searches of known PULXs, which have not yet been carried out by other telescopes according to published literature to date. Our observations will play an important role in investigating the FRB progenitors. If FRBs were detected in our selected ULXs, then puzzle of FRBs' origin would be directly resolved. If no FRB is detected, we can still constrain some ULX-related models statistically, e.g. the upper limit of the burst rate, the period of duty cycle, etc. Our observations can also be used to hunt for radio pulsars in PULXs.
DOI: 10.6084/m9.figshare.14974622.v1
title: Multi–class analysis of 30 antimicrobial residues in poultry feathers by liquid chromatography tandem mass spectrometry

description: Poultry feathers are nowadays partially re-introduced into the animal food chain and the environment. They are valorised by their transformation into feather meal in order to be used as fertilisers in agriculture but also in animal feed (in particular, pet food and fish feed). However, unlike food producing animals for humans, feathers from poultry animals are not subject to a ban or regulatory limits on the presence of antibiotic residue after veterinary treatment. Feathers could therefore be a potential reservoir of antibiotic residues, unintentionally exposing the environment and animals through food, which might contribute to the emergence of antibiotic resistance. To this end, a multi-class liquid chromatographic method coupled with tandem mass spectrometry (LC-MS/MS) was developed for the detection and determination of residues of 30 antibiotics from eight groups of antibacterial (quinolones, lincosamides, macrolides, penicillins, phenicols, tetracyclines, sulphonamides and diaminopyrimidines) in feathers. The extraction of the analytes from the feathers was carried out by the salting out technique. The separation of the analytes employed a Kinetex C18 column. Quantification was made using internal standards. All analytes have been validated according to the performance criteria of Decision 2002/657/EC. Trueness of the method ranged from to 93% to 111% for all analytes and intermediate precision were to 1.2–18.8%. The limits of quantification (LOQ) were from 13 to 150 µg kg<sup>−1</sup> depending on the analytes. The method is suitable for the monitoring and quantification of antibiotic residues in feathers over the range 13–600 µg kg<sup>−1</sup> depending on the compound.
DOI: 10.6084/m9.figshare.14974622
title: Multi–class analysis of 30 antimicrobial residues in poultry feathers by liquid chromatography tandem mass spectrometry

description: Poultry feathers are nowadays partially re-introduced into the animal food chain and the environment. They are valorised by their transformation into feather meal in order to be used as fertilisers in agriculture but also in animal feed (in particular, pet food and fish feed). However, unlike food producing animals for humans, feathers from poultry animals are not subject to a ban or regulatory limits on the presence of antibiotic residue after veterinary treatment. Feathers could therefore be a potential reservoir of antibiotic residues, unintentionally exposing the environment and animals through food, which might contribute to the emergence of antibiotic resistance. To this end, a multi-class liquid chromatographic method coupled with tandem mass spectrometry (LC-MS/MS) was developed for the detection and determination of residues of 30 antibiotics from eight groups of antibacterial (quinolones, lincosamides, macrolides, penicillins, phenicols, tetracyclines, sulphonamides and diaminopyrimidines) in feathers. The extraction of the analytes from the feathers was carried out by the salting out technique. The separation of the analytes employed a Kinetex C18 column. Quantification was made using internal standards. All analytes have been validated according to the performance criteria of Decision 2002/657/EC. Trueness of the method ranged from to 93% to 111% for all analytes and intermediate precision were to 1.2–18.8%. The limits of quantification (LOQ) were from 13 to 150 µg kg<sup>−1</sup> depending on the analytes. The method is suitable for the monitoring and quantification of antibiotic residues in feathers over the range 13–600 µg kg<sup>−1</sup> depending on the compound.
DOI: 10.25919/ybk1-1945
title: Parkes observations for project PX500 semester 2021OCTS_01

description: This proposal relates to time purchased by the Chinese Academy of Sciences for Parkes follow-up confirmation and timing of FAST discoveries. As the observing time has been purchased this proposal (and the related PX501) does not require TAC grading. The primary reason for submitting a proposal is to ensure an outreach statement and that the proposal is entered into OPAL for the data archive to access. The Chinese team have two time requests. The time scheduled for the first, relating to this proposal, will be allocated in blocks of 24 hours and the data will become available in the data archive with an 18 month embargo period. The second type of time will be scheduled in shorter blocks and the data archived with a 10 year embargo.
DOI: 10.5517/ccdc.csd.cc22hp8k
title: CCDC 1921698: Experimental Crystal Structure Determination

description: Related Article: Cang Cheng|2019|CSD Communication|||
description: Related Article: Cang Cheng, Bin Wan, Bo Zhou, Yichao Gu, Yanghui Zhang|2019|Chemical Science|10|9853|doi:10.1039/C9SC03406D
DOI: 10.5517/ccdc.csd.cc231hk7
title: CCDC 1937858: Experimental Crystal Structure Determination

description: Related Article: Marcus Bond|2019|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc231lwn
title: CCDC 1937961: Experimental Crystal Structure Determination

description: Related Article: Marcus Bond|2019|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc23wmc0
title: CCDC 1962962: Experimental Crystal Structure Determination

description: Related Article: Atefeh Sahraei|2019|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc23z7dr
title: CCDC 1965474: Experimental Crystal Structure Determination

description: Related Article: Xinru Yin, Aimin Xu, Jidi Hu, Ming Bao, Wenhao Hu, Yu Qian|2020|Org.Biomol.Chem.|18|9805|doi:10.1039/D0OB02189J
description: Related Article: Xin Ru Yin|2019|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc24wkm7
title: CCDC 1992699: Experimental Crystal Structure Determination

description: Related Article: Michael North, Jose A Castro-Osma, Katie J Lamb, Adrian C Whitwood|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc24wkn8
title: CCDC 1992700: Experimental Crystal Structure Determination

description: Related Article: Michael North, Jose A Castro-Osma, Katie J Lamb, Adrian C Whitwood|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc24x6z8
title: CCDC 1993330: Experimental Crystal Structure Determination

description: Related Article: Abdelhakim Laachir, Salaheddine Guesmi, El Mostafa Ketatni, Mohamed Saadi, Lahcen El Ammari, Siham Esserti, Mohamed Faize, Fouad Bentiss|2020|CSD Communication|||
description: Related Article: Abdelhakim Laachir, Salaheddine Guesmi, El Mostafa Ketatni, Mohamed Saadi, Lahcen El Ammari, Siham Esserti, Mohamed Faize, Fouad Bentiss|2020|J.Mol.Struct.|1218|128533|doi:10.1016/j.molstruc.2020.128533
DOI: 10.5517/ccdc.csd.cc24xpyq
title: CCDC 1993794: Experimental Crystal Structure Determination

description: Related Article: Adineh Rezaei, Daniel K. Unruh, Michael Findlater|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc252bcz
title: CCDC 1998240: Experimental Crystal Structure Determination

description: Related Article: Martin Nieger, Stefan Fankel, Rainer Streubel|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc25lz0s
title: CCDC 2014225: Experimental Crystal Structure Determination

description: Related Article: Martin Nieger, Alexander Koch, Karl Heinz Dötz|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc25lz1t
title: CCDC 2014226: Experimental Crystal Structure Determination

description: Related Article: Martin Nieger, Heidi Mansikkamäki, Alexander Koch, Karl Heinz Dötz|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc25lz2v
title: CCDC 2014227: Experimental Crystal Structure Determination

description: Related Article: Martin Nieger, Jochen Schneider, Karl Heinz Dötz|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc25lzd5
title: CCDC 2014237: Experimental Crystal Structure Determination

description: Related Article: Martin Nieger, Jochen Stendel, Karl Heinz Dötz|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26v7x7
title: CCDC 2051019: Experimental Crystal Structure Determination

description: Related Article: Andrey O. Okhlobystin,  Igor L. Eremenko,  Valentina N. Storozhenko,  Kseniya V. Oleinikova,  Anna S. Kamyshnikova,  Konstantin P. Pashchenko,  Elena V. Shinkar’,  Ekaterina N. Zorina-Tikhonova,  Mikhail A. Kiskin,  Alexander E. Baranchikov,  Sergey Yu. Kottsov,  Nadezhda T. Berberova|2021|ACS Omega|6|23181|doi:10.1021/acsomega.1c02777
DOI: 10.5517/ccdc.csd.cc27kdhq
title: CCDC 2072303: Experimental Crystal Structure Determination

description: Related Article: Jie Zhao, Bing-Qing Huang, Bin-Can Zhu, Xiao-Pan Ma, Cui Liang, Gui-Fa SU, Dong-Liang Mo|2021|Adv.Synth.Catal.|363|4575|doi:10.1002/adsc.202100448
DOI: 10.5517/ccdc.csd.cc27kdjr
title: CCDC 2072304: Experimental Crystal Structure Determination

description: Related Article: Jie Zhao, Bing-Qing Huang, Bin-Can Zhu, Xiao-Pan Ma, Cui Liang, Gui-Fa SU, Dong-Liang Mo|2021|Adv.Synth.Catal.|363|4575|doi:10.1002/adsc.202100448
DOI: 10.5517/ccdc.csd.cc27l79d
title: CCDC 2073103: Experimental Crystal Structure Determination

description: Related Article: Xiao-Wei Zhu, Fen-Ling Zhuang, Zi-Ye Chen, Shu Zhou, Yu-Bai Wei, Xiao-Ping Zhou, Dan Li|2021|Inorg.Chem.|60|14721|doi:10.1021/acs.inorgchem.1c01841
DOI: 10.5517/ccdc.csd.cc27l7bf
title: CCDC 2073104: Experimental Crystal Structure Determination

description: Related Article: Xiao-Wei Zhu, Fen-Ling Zhuang, Zi-Ye Chen, Shu Zhou, Yu-Bai Wei, Xiao-Ping Zhou, Dan Li|2021|Inorg.Chem.|60|14721|doi:10.1021/acs.inorgchem.1c01841
DOI: 10.5517/ccdc.csd.cc27l7cg
title: CCDC 2073105: Experimental Crystal Structure Determination

description: Related Article: Xiao-Wei Zhu, Fen-Ling Zhuang, Zi-Ye Chen, Shu Zhou, Yu-Bai Wei, Xiao-Ping Zhou, Dan Li|2021|Inorg.Chem.|60|14721|doi:10.1021/acs.inorgchem.1c01841
DOI: 10.5517/ccdc.csd.cc27l7dh
title: CCDC 2073106: Experimental Crystal Structure Determination

description: Related Article: Xiao-Wei Zhu, Fen-Ling Zhuang, Zi-Ye Chen, Shu Zhou, Yu-Bai Wei, Xiao-Ping Zhou, Dan Li|2021|Inorg.Chem.|60|14721|doi:10.1021/acs.inorgchem.1c01841