cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc27ldr0
title: CCDC 2073272: Experimental Crystal Structure Determination

description: Related Article: Yang Yang, Bo Zhu, Lei Zhu, Ying Jiang, Chun-Ling Guo, Jing Gu, Qin Ouyang, Wei Du, Ying-Chun Chen|2021|Chemical Science|12|11399|doi:10.1039/D1SC03517G
DOI: 10.5517/ccdc.csd.cc27lds1
title: CCDC 2073273: Experimental Crystal Structure Determination

description: Related Article: Yang Yang, Bo Zhu, Lei Zhu, Ying Jiang, Chun-Ling Guo, Jing Gu, Qin Ouyang, Wei Du, Ying-Chun Chen|2021|Chemical Science|12|11399|doi:10.1039/D1SC03517G
DOI: 10.5517/ccdc.csd.cc27qtyr
title: CCDC 2077525: Experimental Crystal Structure Determination

description: Related Article: Maruti B. Yadav, Yeon Tae Jeong|2021|Org.Biomol.Chem.|19|7409|doi:10.1039/D1OB01300A
DOI: 10.5517/ccdc.csd.cc1kj28f
title: CCDC 1445414: Experimental Crystal Structure Determination

description: Related Article: Masaki Yamamura, Tsuyoshi Saito, Toru Hasegawa, Eiji Nishibori, Tatsuya Nabeshima|2021|Chem.Commun.|57|8754|doi:10.1039/D1CC02341A
DOI: 10.5517/ccdc.csd.cc27wkg5
title: CCDC 2082067: Experimental Crystal Structure Determination

description: Related Article: Torvid Feiler, Biswajit Bhattacharya, Adam A. L. Michalchuk, Seon-Young Rhim, Vincent Schröder, Emil List-Kratochvil, Franziska Emmerling|2021|CrystEngComm|23|5815|doi:10.1039/D1CE00642H
DOI: 10.5517/ccdc.csd.cc27wkh6
title: CCDC 2082068: Experimental Crystal Structure Determination

description: Related Article: Torvid Feiler, Biswajit Bhattacharya, Adam A. L. Michalchuk, Seon-Young Rhim, Vincent Schröder, Emil List-Kratochvil, Franziska Emmerling|2021|CrystEngComm|23|5815|doi:10.1039/D1CE00642H
DOI: 10.5517/ccdc.csd.cc27xn72
title: CCDC 2083114: Experimental Crystal Structure Determination

description: Related Article: Maruti B. Yadav, Yeon Tae Jeong|2021|Org.Biomol.Chem.|19|7409|doi:10.1039/D1OB01300A
DOI: 10.5517/ccdc.csd.cc27y6yc
title: CCDC 2083663: Experimental Crystal Structure Determination

description: Related Article: Bayu Ardiansah, Hiroki Tanimoto, Takenori Tomohiro, Tsumoru Morimoto, Kiyomi Kakiuchi|2021|Chem.Commun.|57|8738|doi:10.1039/D1CC02770K
DOI: 10.5517/ccdc.csd.cc27ymnh
title: CCDC 2084057: Experimental Crystal Structure Determination

description: Related Article: Benjamin J. Frogley, Anthony F. Hill, Ryan M. Kirk|2021|Chem.Commun.|57|8770|doi:10.1039/D1CC03015A
DOI: 10.5517/ccdc.csd.cc281dj8
title: CCDC 2086719: Experimental Crystal Structure Determination

description: Related Article: Hiromitsu Maeda, Yohei Haketa, Tomoki Murata, Eriko Ohta, Tai Murata, Nobuhiro Yasuda|2021|Org.Biomol.Chem.|19|7369|doi:10.1039/D1OB01094H
DOI: 10.5517/ccdc.csd.cc281dk9
title: CCDC 2086720: Experimental Crystal Structure Determination

description: Related Article: Hiromitsu Maeda, Yohei Haketa, Tomoki Murata, Eriko Ohta, Tai Murata, Nobuhiro Yasuda|2021|Org.Biomol.Chem.|19|7369|doi:10.1039/D1OB01094H
DOI: 10.5517/ccdc.csd.cc281dlb
title: CCDC 2086721: Experimental Crystal Structure Determination

description: Related Article: Hiromitsu Maeda, Yohei Haketa, Tomoki Murata, Eriko Ohta, Tai Murata, Nobuhiro Yasuda|2021|Org.Biomol.Chem.|19|7369|doi:10.1039/D1OB01094H
DOI: 10.5517/ccdc.csd.cc281dmc
title: CCDC 2086722: Experimental Crystal Structure Determination

description: Related Article: Hiromitsu Maeda, Yohei Haketa, Tomoki Murata, Eriko Ohta, Tai Murata, Nobuhiro Yasuda|2021|Org.Biomol.Chem.|19|7369|doi:10.1039/D1OB01094H
DOI: 10.5517/ccdc.csd.cc281dnd
title: CCDC 2086723: Experimental Crystal Structure Determination

description: Related Article: Hiromitsu Maeda, Yohei Haketa, Tomoki Murata, Eriko Ohta, Tai Murata, Nobuhiro Yasuda|2021|Org.Biomol.Chem.|19|7369|doi:10.1039/D1OB01094H
DOI: 10.5517/ccdc.csd.cc281dpf
title: CCDC 2086724: Experimental Crystal Structure Determination

description: Related Article: Hiromitsu Maeda, Yohei Haketa, Tomoki Murata, Eriko Ohta, Tai Murata, Nobuhiro Yasuda|2021|Org.Biomol.Chem.|19|7369|doi:10.1039/D1OB01094H
DOI: 10.5517/ccdc.csd.cc281dqg
title: CCDC 2086725: Experimental Crystal Structure Determination

description: Related Article: Hiromitsu Maeda, Yohei Haketa, Tomoki Murata, Eriko Ohta, Tai Murata, Nobuhiro Yasuda|2021|Org.Biomol.Chem.|19|7369|doi:10.1039/D1OB01094H
DOI: 10.5517/ccdc.csd.cc281drh
title: CCDC 2086726: Experimental Crystal Structure Determination

description: Related Article: Hiromitsu Maeda, Yohei Haketa, Tomoki Murata, Eriko Ohta, Tai Murata, Nobuhiro Yasuda|2021|Org.Biomol.Chem.|19|7369|doi:10.1039/D1OB01094H
DOI: 10.5517/ccdc.csd.cc281dsj
title: CCDC 2086727: Experimental Crystal Structure Determination

description: Related Article: Hiromitsu Maeda, Yohei Haketa, Tomoki Murata, Eriko Ohta, Tai Murata, Nobuhiro Yasuda|2021|Org.Biomol.Chem.|19|7369|doi:10.1039/D1OB01094H
DOI: 10.5517/ccdc.csd.cc281dtk
title: CCDC 2086728: Experimental Crystal Structure Determination

description: Related Article: Hiromitsu Maeda, Yohei Haketa, Tomoki Murata, Eriko Ohta, Tai Murata, Nobuhiro Yasuda|2021|Org.Biomol.Chem.|19|7369|doi:10.1039/D1OB01094H
DOI: 10.5517/ccdc.csd.cc281dvl
title: CCDC 2086729: Experimental Crystal Structure Determination

description: Related Article: Hiromitsu Maeda, Yohei Haketa, Tomoki Murata, Eriko Ohta, Tai Murata, Nobuhiro Yasuda|2021|Org.Biomol.Chem.|19|7369|doi:10.1039/D1OB01094H
DOI: 10.5517/ccdc.csd.cc281dwm
title: CCDC 2086730: Experimental Crystal Structure Determination

description: Related Article: Hiromitsu Maeda, Yohei Haketa, Tomoki Murata, Eriko Ohta, Tai Murata, Nobuhiro Yasuda|2021|Org.Biomol.Chem.|19|7369|doi:10.1039/D1OB01094H
DOI: 10.5517/ccdc.csd.cc286ygx
title: CCDC 2092049: Experimental Crystal Structure Determination

description: Related Article: Thomas J. Gately, Watit Sontising, Connor J. Easley, Imadul Islam, Rabih O. Al-Kaysi, Gregory J. O. Beran, Christopher J. Bardeen|2021|CrystEngComm|23|5931|doi:10.1039/D1CE00846C
DOI: 10.15468/4en46q
title: Podonomus pepinellii n. sp., first record of the genus and subfamily from Brazil (Diptera: Chironomidae: Podonominae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Roque, Fabio De Oliveira, Trivinho-Strixino, Susana (2004): Podonomus pepinellii n. sp., first record of the genus and subfamily from Brazil (Diptera: Chironomidae: Podonominae). Zootaxa 689 (1): 1-7, DOI: 10.11646/zootaxa.689.1.1, URL: https://biotaxa.org/Zootaxa/article/view/zootaxa.689.1.1
DOI: 10.15139/s3/8pwsbj
title: Collection Management Tools Documentation Portal Survey, 2016

description: This survey was conducted to identify the needs of collection management tool users and Collection Management Tools Roundtable (CMTRT – now the Collection Management Section) members. In order to serve its members thoroughly and focus its work, CMTRT's Steering Committee sought input as to collection management tool users' interests, tools that were being used, and challenges encountered. Responses to the survey were solicited via the roundtable’s listserv. Ninety-nine responses were received. Responses were individual, and it is possible that multiple individuals from the same institution responded.
DOI: 10.15468/kpfa3p
title: New records of Reduviidae (Hemiptera: Heteroptera) from Argentina

description: This dataset contains the digitized treatments in Plazi based on the original journal article Melo, María Cecilia, Coscarón, María Del Carmen (2004): New records of Reduviidae (Hemiptera: Heteroptera) from Argentina. Zootaxa 698 (1): 1-4, DOI: 10.11646/zootaxa.698.1.1, URL: https://biotaxa.org/Zootaxa/article/view/zootaxa.698.1.1
DOI: 10.5281/zenodo.5362352
title: Supplementary information and videos

description: Supplementary information and videos
DOI: 10.15468/6rw97r
title: A new species of Passadenoides Neunzig from Wyoming and New Mexico (Lepidoptera: Pyralidae: Phycitinae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Ferris, Clifford D. (2004): A new species of Passadenoides Neunzig from Wyoming and New Mexico (Lepidoptera: Pyralidae: Phycitinae). Zootaxa 705 (1): 1-8, DOI: 10.11646/zootaxa.705.1.1, URL: https://biotaxa.org/Zootaxa/article/view/zootaxa.705.1.1
DOI: 10.6084/m9.figshare.8341187
title: Molecular impact of Deformed wing virus type A in the honey bee brain.

description: Crop pollination by the western honey bee <i>Apis mellifera</i> is vital to agriculture but threatened by alarmingly high levels of colony mortality, especially in Europe and the US. Colony loss is due, in part, to the high viral loads of Deformed wing virus (DWV), transmitted by the ectoparasitic mite <i>Varroa destructor, </i>especially throughout the overwintering period of a honey bee colony. Covert DWV infection is commonplace and has been causally linked to precocious foraging, which itself has been linked to colony loss. Taking advantage of four brain transcriptome studies that unexpectedly revealed evidence of covert DWV-A infection, we set out to explore whether this effect is due to DWV-A mimicking naturally occurring changes in brain gene expression that are associated with behavioral maturation. Consistent with this hypothesis, we found that brain gene expression profiles of DWV-A infected bees resembled those of foragers, even in samples that were much younger than typical foragers. In addition, transcriptional regulatory network analysis revealed a positive association between DWV-A infection and transcription factors previously associated with honey bee foraging behavior. Surprisingly, single-cell RNA-Sequencing implicated glia, not neurons, in this effect; there are relatively few glial cells in the insect brain and they are rarely associated with behavioral plasticity. Covert DWV-A infection also has been linked to impaired learning, which together with precocious foraging can lead to increased occurrence of bees from one colony mistakenly joining another, especially under crowded modern apiary conditions. Together, these findings support a mechanistic link by which DWV-A may manipulate host behavior to facilitate horizontal transmission.
DOI: 10.6084/m9.figshare.8341187.v9
title: Molecular impact of Deformed wing virus type A in the honey bee brain.

description: Crop pollination by the western honey bee <i>Apis mellifera</i> is vital to agriculture but threatened by alarmingly high levels of colony mortality, especially in Europe and the US. Colony loss is due, in part, to the high viral loads of Deformed wing virus (DWV), transmitted by the ectoparasitic mite <i>Varroa destructor, </i>especially throughout the overwintering period of a honey bee colony. Covert DWV infection is commonplace and has been causally linked to precocious foraging, which itself has been linked to colony loss. Taking advantage of four brain transcriptome studies that unexpectedly revealed evidence of covert DWV-A infection, we set out to explore whether this effect is due to DWV-A mimicking naturally occurring changes in brain gene expression that are associated with behavioral maturation. Consistent with this hypothesis, we found that brain gene expression profiles of DWV-A infected bees resembled those of foragers, even in samples that were much younger than typical foragers. In addition, transcriptional regulatory network analysis revealed a positive association between DWV-A infection and transcription factors previously associated with honey bee foraging behavior. Surprisingly, single-cell RNA-Sequencing implicated glia, not neurons, in this effect; there are relatively few glial cells in the insect brain and they are rarely associated with behavioral plasticity. Covert DWV-A infection also has been linked to impaired learning, which together with precocious foraging can lead to increased occurrence of bees from one colony mistakenly joining another, especially under crowded modern apiary conditions. Together, these findings support a mechanistic link by which DWV-A may manipulate host behavior to facilitate horizontal transmission.
DOI: 10.6084/m9.figshare.8341187.v8
title: Molecular impact of Deformed wing virus type A in the honey bee brain.

description: Crop pollination by the western honey bee <i>Apis mellifera</i> is vital to agriculture but threatened by alarmingly high levels of colony mortality, especially in Europe and the US. Colony loss is due, in part, to the high viral loads of Deformed wing virus (DWV), transmitted by the ectoparasitic mite <i>Varroa destructor, </i>especially throughout the overwintering period of a honey bee colony. Covert DWV infection is commonplace and has been causally linked to precocious foraging, which itself has been linked to colony loss. Taking advantage of four brain transcriptome studies that unexpectedly revealed evidence of covert DWV-A infection, we set out to explore whether this effect is due to DWV-A mimicking naturally occurring changes in brain gene expression that are associated with behavioral maturation. Consistent with this hypothesis, we found that brain gene expression profiles of DWV-A infected bees resembled those of foragers, even in samples that were much younger than typical foragers. In addition, transcriptional regulatory network analysis revealed a positive association between DWV-A infection and transcription factors previously associated with honey bee foraging behavior. Surprisingly, single-cell RNA-Sequencing implicated glia, not neurons, in this effect; there are relatively few glial cells in the insect brain and they are rarely associated with behavioral plasticity. Covert DWV-A infection also has been linked to impaired learning, which together with precocious foraging can lead to increased occurrence of bees from one colony mistakenly joining another, especially under crowded modern apiary conditions. Together, these findings support a mechanistic link by which DWV-A may manipulate host behavior to facilitate horizontal transmission.
DOI: 10.6084/m9.figshare.16556433
title: List of analyzed oral health websites

description: A supplementary file of the manuscript: "Exploring online misleading oral health information: a content analysis"
DOI: 10.6084/m9.figshare.16556433.v1
title: List of analyzed oral health websites

description: A supplementary file of the manuscript: "Exploring online misleading oral health information: a content analysis"
DOI: 10.5281/zenodo.4895650
title: Data of leaf water potential, vegetation indices and leaf area indices of corn, cotton and wheat measured under field conditions

description: This upload contains the raw data and supplementary files in support of the article entitled "Leaf water potential of field crops estimated using NDVI in ground-based remote sensing – opportunities to increase prediction precision", authored by X. Dong, B. Peng, S. Sieckenius, R. Raman, M. M. Conley and D. I. Leskovar, which has been published in PeerJ on August 18, 2021 (DOI 10.7717/peerj.12005). There are four versions of the supplementary files. The final version (Version #4 with suppl. files contained in the zip folder "Supplementary Computer Code - Datasets - Figures _Revised_Revised") directly supports the published paper, while other versions contain files in support of the various intermediate versions of the manuscript. Here is a brief description of different versions: Version #1 contains the raw data; Version #2 contains both the raw data and supplementary files, which include computer code, datasets and figures; and Version #3 is identical to Version #2, except for the addition of a new supplemental figure (Suppl. Figure S3). Version #4 has two new figures added, and also the order of Suppl. Figures has been changed; otherwise it is identical to Version #3. Some of the intermediate results for generating Suppl. Figure S3 in Version #3, or Suppl. Figure S2 in Version #4, can be found at https://zenodo.org/record/4818184#.YK-hPqhKiUk
DOI: 10.5281/zenodo.4574673
title: Data of leaf water potential, vegetation indices and leaf area indices of corn, cotton and wheat measured under field conditions

description: This upload contains the raw data and supplementary files in support of the article entitled "Leaf water potential of field crops estimated using NDVI in ground-based remote sensing – opportunities to increase prediction precision", authored by X. Dong, B. Peng, S. Sieckenius, R. Raman, M. M. Conley and D. I. Leskovar, which has been published in PeerJ on August 18, 2021 (DOI 10.7717/peerj.12005). There are four versions of the supplementary files. The final version (Version #4 with suppl. files contained in the zip folder "Supplementary Computer Code - Datasets - Figures _Revised_Revised") directly supports the published paper, while other versions contain files in support of the various intermediate versions of the manuscript. Here is a brief description of different versions: Version #1 contains the raw data; Version #2 contains both the raw data and supplementary files, which include computer code, datasets and figures; and Version #3 is identical to Version #2, except for the addition of a new supplemental figure (Suppl. Figure S3). Version #4 has two new figures added, and also the order of Suppl. Figures has been changed; otherwise it is identical to Version #3. Some of the intermediate results for generating Suppl. Figure S3 in Version #3, or Suppl. Figure S2 in Version #4, can be found at https://zenodo.org/record/4818184#.YK-hPqhKiUk
DOI: 10.6084/m9.figshare.16553997.v1
title: Genetic data from "Evidence of micro-evolution in Crocidura russula from two abandoned heavy metal mines: potential use of Cytb, CYP1A1, and p53 as gene biomarkers"

description: We provide three text files (.txt) on genetic data from:"Evidence of micro-evolution in Crocidura russula from two abandoned heavy metal mines: potential use of Cytb, CYP1A1, and p53 as gene biomarkers".Authors: Quina AS, Durão AF, Mathias MLEcotoxicologyDOI: 10.1007/s10646-021-02472-9<br>The files are: Crocidura russula_CYP1A1 haplotypes_Quina et alCrocidura russula_p53 haplotypes_Quina et alCrocidura russula_Sample information_Quina et al
DOI: 10.6084/m9.figshare.14700819.v1
title: Supplementary material: Selection of sampling sites for biodiversity inventory: effects of environmental and geographic considerations

description: Supplementary Material for the manuscript "Selection of sampling sites for biodiversity inventory: effects of environmental and geographic considerations"<br>Contents:- Data.zip. Compressed folder with data required to perform the analyses presented in the manuscript.<br>- Initial_objects.zip. Compressed folder containing R objects (base_PAMs) stored in files of .RData format, created based on species distributional information. <br>- Scripts.zip. Compressed folder containing commented R scripts to reproduce analyses. Scripts are numbered in the order in which they were used.
DOI: 10.6084/m9.figshare.14238008
title: Mathes et al. 2021: A multidimensional stability framework enhances interpretation and comparison of carbon cycling response to disturbance

description: These data were analyzed and presented for an Innovative Viewpoint submission (unpublished) presenting the benefits of the broad adoption of a multidimensional stability analytical framework by ecosystem ecologists. We applied a multidimensional stability framework first summarized by Hillebrand et al. 2018 (https://doi.org/10.1111/ele.12867) to two carbon flux datasets following disturbance. <br>First application uses datasets Rs_USUMB_USUMd and NEP_GPP_Re_USUMB_USUMd. Here we compare decadal carbon flux stability following a forest girdling manipulation (FASET) against a control. <br>Second application uses the dataset published_NEP. Here we analyze published NEP data to compare C flux stability across two common disturbance types (insects and fire). <br>Download zip file for R project and all associated data and code. <br>Please view README_mathes_etal_2021 for details.<br>
DOI: 10.6084/m9.figshare.14238008.v5
title: Mathes et al. 2021: A multidimensional stability framework enhances interpretation and comparison of carbon cycling response to disturbance

description: These data were analyzed and presented for an Innovative Viewpoint submission (unpublished) presenting the benefits of the broad adoption of a multidimensional stability analytical framework by ecosystem ecologists. We applied a multidimensional stability framework first summarized by Hillebrand et al. 2018 (https://doi.org/10.1111/ele.12867) to two carbon flux datasets following disturbance. <br>First application uses datasets Rs_USUMB_USUMd and NEP_GPP_Re_USUMB_USUMd. Here we compare decadal carbon flux stability following a forest girdling manipulation (FASET) against a control. <br>Second application uses the dataset published_NEP. Here we analyze published NEP data to compare C flux stability across two common disturbance types (insects and fire). <br>Download zip file for R project and all associated data and code. <br>Please view README_mathes_etal_2021 for details.<br>
DOI: 10.6084/m9.figshare.14238008.v4
title: Mathes et al. 2021: A multidimensional stability framework enhances interpretation and comparison of carbon cycling response to disturbance

description: These data were analyzed and presented for an Innovative Viewpoint submission (unpublished) presenting the benefits of the broad adoption of a multidimensional stability analytical framework by ecosystem ecologists. We applied a multidimensional stability framework first summarized by Hillebrand et al. 2018 (https://doi.org/10.1111/ele.12867) to two carbon flux datasets following disturbance. <br>First application uses datasets Rs_USUMB_USUMd and NEP_GPP_Re_USUMB_USUMd. Here we compare decadal carbon flux stability following a forest girdling manipulation (FASET) against a control. <br>Second application uses the dataset published_NEP. Here we analyze published NEP data to compare C flux stability across two common disturbance types (insects and fire). <br>Download zip file for R project and all associated data and code. <br>Please view README_mathes_etal_2021 for details.<br>
DOI: 10.5517/ccdc.csd.cc286yhy
title: CCDC 2092050: Experimental Crystal Structure Determination

description: Related Article: Thomas J. Gately, Watit Sontising, Connor J. Easley, Imadul Islam, Rabih O. Al-Kaysi, Gregory J. O. Beran, Christopher J. Bardeen|2021|CrystEngComm|23|5931|doi:10.1039/D1CE00846C
DOI: 10.5517/ccdc.csd.cc286yv9
title: CCDC 2092061: Experimental Crystal Structure Determination

description: Related Article: Wei Ju, Xudong Wang, Hailong Tian, Jinghan Gui|2021|J.Am.Chem.Soc.|143|13016|doi:10.1021/jacs.1c07511
DOI: 10.5517/ccdc.csd.cc286ywb
title: CCDC 2092062: Experimental Crystal Structure Determination

description: Related Article: Wei Ju, Xudong Wang, Hailong Tian, Jinghan Gui|2021|J.Am.Chem.Soc.|143|13016|doi:10.1021/jacs.1c07511
DOI: 10.5517/ccdc.csd.cc286yxc
title: CCDC 2092063: Experimental Crystal Structure Determination

description: Related Article: Wei Ju, Xudong Wang, Hailong Tian, Jinghan Gui|2021|J.Am.Chem.Soc.|143|13016|doi:10.1021/jacs.1c07511
DOI: 10.5517/ccdc.csd.cc286yyd
title: CCDC 2092064: Experimental Crystal Structure Determination

description: Related Article: Wei Ju, Xudong Wang, Hailong Tian, Jinghan Gui|2021|J.Am.Chem.Soc.|143|13016|doi:10.1021/jacs.1c07511
DOI: 10.5517/ccdc.csd.cc286yzf
title: CCDC 2092065: Experimental Crystal Structure Determination

description: Related Article: Wei Ju, Xudong Wang, Hailong Tian, Jinghan Gui|2021|J.Am.Chem.Soc.|143|13016|doi:10.1021/jacs.1c07511
DOI: 10.5517/ccdc.csd.cc2873qc
title: CCDC 2092212: Experimental Crystal Structure Determination

description: Related Article: Junbo Li, Xuepu Wang, Yingtong Pan, Yan Sun, Guangming Wang, Kaka Zhang|2021|Chem.Commun.|57|8794|doi:10.1039/D1CC04094D
DOI: 10.5517/ccdc.csd.cc2873rd
title: CCDC 2092213: Experimental Crystal Structure Determination

description: Related Article: Junbo Li, Xuepu Wang, Yingtong Pan, Yan Sun, Guangming Wang, Kaka Zhang|2021|Chem.Commun.|57|8794|doi:10.1039/D1CC04094D
DOI: 10.5517/ccdc.csd.cc287jxz
title: CCDC 2092621: Experimental Crystal Structure Determination

description: Related Article: Min Zhu, Xu-Lun Huang, Shuo Sun, Chao Zheng, Shu-Li You|2021|J.Am.Chem.Soc.|143|13441|doi:10.1021/jacs.1c07082