cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14954600.v1
title: Additional file 12 of Using genetic variants to evaluate the causal effect of serum vitamin D concentration on COVID-19 susceptibility, severity and hospitalization traits: a Mendelian randomization study

description: Additional file 12: Table S12. Univariable MR results of hematological traits and COVID-19 susceptibility risk.
DOI: 10.6084/m9.figshare.14954600
title: Additional file 12 of Using genetic variants to evaluate the causal effect of serum vitamin D concentration on COVID-19 susceptibility, severity and hospitalization traits: a Mendelian randomization study

description: Additional file 12: Table S12. Univariable MR results of hematological traits and COVID-19 susceptibility risk.
DOI: 10.6084/m9.figshare.14954603
title: Additional file 13 of Using genetic variants to evaluate the causal effect of serum vitamin D concentration on COVID-19 susceptibility, severity and hospitalization traits: a Mendelian randomization study

description: Additional file 13: Table S13. Univariable MR results of hematological traits and COVID-19 severity risk.
DOI: 10.6084/m9.figshare.14954603.v1
title: Additional file 13 of Using genetic variants to evaluate the causal effect of serum vitamin D concentration on COVID-19 susceptibility, severity and hospitalization traits: a Mendelian randomization study

description: Additional file 13: Table S13. Univariable MR results of hematological traits and COVID-19 severity risk.
DOI: 10.6084/m9.figshare.14954609
title: Additional file 15 of Using genetic variants to evaluate the causal effect of serum vitamin D concentration on COVID-19 susceptibility, severity and hospitalization traits: a Mendelian randomization study

description: Additional file 15: Table S15. Univariable Mendelian randomization of the causal effect of the serum 25(OH)D concentration on three COVID-19 phenotypes after removing the SNPs associated with hematological traits.
DOI: 10.6084/m9.figshare.14954606.v1
title: Additional file 14 of Using genetic variants to evaluate the causal effect of serum vitamin D concentration on COVID-19 susceptibility, severity and hospitalization traits: a Mendelian randomization study

description: Additional file 14: Table S14. Univariable MR results of hematological traits and COVID-19 hospitalization risk.
DOI: 10.6084/m9.figshare.14954609.v1
title: Additional file 15 of Using genetic variants to evaluate the causal effect of serum vitamin D concentration on COVID-19 susceptibility, severity and hospitalization traits: a Mendelian randomization study

description: Additional file 15: Table S15. Univariable Mendelian randomization of the causal effect of the serum 25(OH)D concentration on three COVID-19 phenotypes after removing the SNPs associated with hematological traits.
DOI: 10.6084/m9.figshare.14954612.v1
title: Additional file 1 of Using genetic variants to evaluate the causal effect of serum vitamin D concentration on COVID-19 susceptibility, severity and hospitalization traits: a Mendelian randomization study

description: Additional file 1: Table S1. The study details included in COVID-19 HGI GWAS meta-analyses of COVID-19 susceptibility.
DOI: 10.6084/m9.figshare.14954615
title: Additional file 2 of Using genetic variants to evaluate the causal effect of serum vitamin D concentration on COVID-19 susceptibility, severity and hospitalization traits: a Mendelian randomization study

description: Additional file 2: Table S2. The study details included in COVID-19 HGI GWAS meta-analyses of COVID-19 severity.
DOI: 10.6084/m9.figshare.14954615.v1
title: Additional file 2 of Using genetic variants to evaluate the causal effect of serum vitamin D concentration on COVID-19 susceptibility, severity and hospitalization traits: a Mendelian randomization study

description: Additional file 2: Table S2. The study details included in COVID-19 HGI GWAS meta-analyses of COVID-19 severity.
DOI: 10.6084/m9.figshare.14954618
title: Additional file 3 of Using genetic variants to evaluate the causal effect of serum vitamin D concentration on COVID-19 susceptibility, severity and hospitalization traits: a Mendelian randomization study

description: Additional file 3: Table S3. The study details included in COVID-19 HGI GWAS meta-analyses of COVID-19 hospitalization.
DOI: 10.6084/m9.figshare.14954618.v1
title: Additional file 3 of Using genetic variants to evaluate the causal effect of serum vitamin D concentration on COVID-19 susceptibility, severity and hospitalization traits: a Mendelian randomization study

description: Additional file 3: Table S3. The study details included in COVID-19 HGI GWAS meta-analyses of COVID-19 hospitalization.
DOI: 10.6084/m9.figshare.14954624.v1
title: Additional file 4 of Using genetic variants to evaluate the causal effect of serum vitamin D concentration on COVID-19 susceptibility, severity and hospitalization traits: a Mendelian randomization study

description: Additional file 4: Table S4. Characteristics of SNPs in outlier removed sets used in Mendelian randomization analysis of effect of the serum 25(OH)D concentration on COVID-19 susceptibility risk.
DOI: 10.6084/m9.figshare.14954630
title: Additional file 6 of Using genetic variants to evaluate the causal effect of serum vitamin D concentration on COVID-19 susceptibility, severity and hospitalization traits: a Mendelian randomization study

description: Additional file 6: Table S6. Characteristics of SNPs in outlier removed sets used in Mendelian randomization analysis of effect of serum 25(OH)D concentration on COVID-19 hospitalization risk.
DOI: 10.6084/m9.figshare.14954630.v1
title: Additional file 6 of Using genetic variants to evaluate the causal effect of serum vitamin D concentration on COVID-19 susceptibility, severity and hospitalization traits: a Mendelian randomization study

description: Additional file 6: Table S6. Characteristics of SNPs in outlier removed sets used in Mendelian randomization analysis of effect of serum 25(OH)D concentration on COVID-19 hospitalization risk.
DOI: 10.6084/m9.figshare.14954624
title: Additional file 4 of Using genetic variants to evaluate the causal effect of serum vitamin D concentration on COVID-19 susceptibility, severity and hospitalization traits: a Mendelian randomization study

description: Additional file 4: Table S4. Characteristics of SNPs in outlier removed sets used in Mendelian randomization analysis of effect of the serum 25(OH)D concentration on COVID-19 susceptibility risk.
DOI: 10.6084/m9.figshare.14954627
title: Additional file 5 of Using genetic variants to evaluate the causal effect of serum vitamin D concentration on COVID-19 susceptibility, severity and hospitalization traits: a Mendelian randomization study

description: Additional file 5: Table S5. Characteristics of SNPs in outlier removed sets used in Mendelian randomization analysis of effect of the serum 25(OH)D concentration on COVID-19 severity risk.
DOI: 10.6084/m9.figshare.14954627.v1
title: Additional file 5 of Using genetic variants to evaluate the causal effect of serum vitamin D concentration on COVID-19 susceptibility, severity and hospitalization traits: a Mendelian randomization study

description: Additional file 5: Table S5. Characteristics of SNPs in outlier removed sets used in Mendelian randomization analysis of effect of the serum 25(OH)D concentration on COVID-19 severity risk.
DOI: 10.6084/m9.figshare.14954633
title: Additional file 7 of Using genetic variants to evaluate the causal effect of serum vitamin D concentration on COVID-19 susceptibility, severity and hospitalization traits: a Mendelian randomization study

description: Additional file 7: Table S7. MR results between the serum 25(OH)D concentration and COVID-19 phenotypes from sensitivity analysis with linkage-disequilibrium coefficient (R2)
DOI: 10.6084/m9.figshare.14954636
title: Additional file 8 of Using genetic variants to evaluate the causal effect of serum vitamin D concentration on COVID-19 susceptibility, severity and hospitalization traits: a Mendelian randomization study

description: Additional file 8: Table S8. MR results between the serum 25(OH)D concentration and COVID-19 phenotypes from sensitivity analysis with linkage-disequilibrium coefficient (R2)
DOI: 10.6084/m9.figshare.14954639
title: Additional file 9 of Using genetic variants to evaluate the causal effect of serum vitamin D concentration on COVID-19 susceptibility, severity and hospitalization traits: a Mendelian randomization study

description: Additional file 9: Table S9. "Leave-one-out" analysis of causal associations between the serum 25(OH)D concentration and COVID-19 susceptibility risk using outlier removed sets based on IVW-random method.
DOI: 10.6084/m9.figshare.14954639.v1
title: Additional file 9 of Using genetic variants to evaluate the causal effect of serum vitamin D concentration on COVID-19 susceptibility, severity and hospitalization traits: a Mendelian randomization study

description: Additional file 9: Table S9. "Leave-one-out" analysis of causal associations between the serum 25(OH)D concentration and COVID-19 susceptibility risk using outlier removed sets based on IVW-random method.
DOI: 10.6084/m9.figshare.14954633.v1
title: Additional file 7 of Using genetic variants to evaluate the causal effect of serum vitamin D concentration on COVID-19 susceptibility, severity and hospitalization traits: a Mendelian randomization study

description: Additional file 7: Table S7. MR results between the serum 25(OH)D concentration and COVID-19 phenotypes from sensitivity analysis with linkage-disequilibrium coefficient (R2)
DOI: 10.6084/m9.figshare.14954636.v1
title: Additional file 8 of Using genetic variants to evaluate the causal effect of serum vitamin D concentration on COVID-19 susceptibility, severity and hospitalization traits: a Mendelian randomization study

description: Additional file 8: Table S8. MR results between the serum 25(OH)D concentration and COVID-19 phenotypes from sensitivity analysis with linkage-disequilibrium coefficient (R2)
DOI: 10.6084/m9.figshare.14954657
title: Additional file 1 of Elevated methylation of the vault RNA2-1 promoter in maternal blood is associated with preterm birth

description: Additional file 1: Table S1. Differentially methylated sites between term and preterm samples (n = 1,581).
DOI: 10.6084/m9.figshare.14954657.v1
title: Additional file 1 of Elevated methylation of the vault RNA2-1 promoter in maternal blood is associated with preterm birth

description: Additional file 1: Table S1. Differentially methylated sites between term and preterm samples (n = 1,581).
DOI: 10.6084/m9.figshare.14954529.v1
title: Additional file 1 of Genome sequence analysis of new plum pox virus isolates from Japan

description: Additional file 1: Table S1. List of primers used in this study.
DOI: 10.6084/m9.figshare.14954532
title: Additional file 2 of Genome sequence analysis of new plum pox virus isolates from Japan

description: Additional file 2: Table S2. List of PPV strains used in this study.
DOI: 10.6084/m9.figshare.14954535
title: Additional file 3 of Genome sequence analysis of new plum pox virus isolates from Japan

description: Additional file 3: Table S3. List of non-Japanese PPV-D isolates used in this study.
DOI: 10.6084/m9.figshare.14954532.v1
title: Additional file 2 of Genome sequence analysis of new plum pox virus isolates from Japan

description: Additional file 2: Table S2. List of PPV strains used in this study.
DOI: 10.6084/m9.figshare.14954535.v1
title: Additional file 3 of Genome sequence analysis of new plum pox virus isolates from Japan

description: Additional file 3: Table S3. List of non-Japanese PPV-D isolates used in this study.
DOI: 10.6084/m9.figshare.14954541.v1
title: Additional file 5 of Genome sequence analysis of new plum pox virus isolates from Japan

description: Additional file 5: Table S4. List of PPV strains isolated in this study.
DOI: 10.6084/m9.figshare.14954541
title: Additional file 5 of Genome sequence analysis of new plum pox virus isolates from Japan

description: Additional file 5: Table S4. List of PPV strains isolated in this study.
DOI: 10.6084/m9.figshare.14954529
title: Additional file 1 of Genome sequence analysis of new plum pox virus isolates from Japan

description: Additional file 1: Table S1. List of primers used in this study.
DOI: 10.6084/m9.figshare.14954553
title: Additional file 9 of Genome sequence analysis of new plum pox virus isolates from Japan

description: Additional file 9: Table S5. List of previously reported Japanese PPV-D isolates used in this study.
DOI: 10.6084/m9.figshare.14954553.v1
title: Additional file 9 of Genome sequence analysis of new plum pox virus isolates from Japan

description: Additional file 9: Table S5. List of previously reported Japanese PPV-D isolates used in this study.
DOI: 10.5517/ccdc.csd.cczhdqk
title: CCDC 908539: Experimental Crystal Structure Determination

description: Related Article: Tonggang Hao, Long Huang, Yin Wei, Min Shi|2021|Org.Lett.|23|5133|doi:10.1021/acs.orglett.1c01659
DOI: 10.5517/ccdc.csd.cc24r8kr
title: CCDC 1988574: Experimental Crystal Structure Determination

description: Related Article: Paresh R. Athawale, Hanuman P. Kalmode, D. Srinivasa Reddy|2021|J.Org.Chem.|86|9200|doi:10.1021/acs.joc.1c00529
DOI: 10.5517/ccdc.csd.cc252s46
title: CCDC 1998667: Experimental Crystal Structure Determination

description: Related Article: Jayden J. Gaston, Andrew J. Tague, Jamie E. Smyth, Nicholas M. Butler, Anthony C. Willis, Nico van Eikema Hommes, Haibo Yu, Timothy Clark, Paul A. Keller|2021|J.Org.Chem.|86|9163|doi:10.1021/acs.joc.1c00359
DOI: 10.5517/ccdc.csd.cc252s57
title: CCDC 1998668: Experimental Crystal Structure Determination

description: Related Article: Jayden J. Gaston, Andrew J. Tague, Jamie E. Smyth, Nicholas M. Butler, Anthony C. Willis, Nico van Eikema Hommes, Haibo Yu, Timothy Clark, Paul A. Keller|2021|J.Org.Chem.|86|9163|doi:10.1021/acs.joc.1c00359
DOI: 10.6084/m9.figshare.14954612
title: Additional file 1 of Using genetic variants to evaluate the causal effect of serum vitamin D concentration on COVID-19 susceptibility, severity and hospitalization traits: a Mendelian randomization study

description: Additional file 1: Table S1. The study details included in COVID-19 HGI GWAS meta-analyses of COVID-19 susceptibility.
DOI: 10.6084/m9.figshare.14954606
title: Additional file 14 of Using genetic variants to evaluate the causal effect of serum vitamin D concentration on COVID-19 susceptibility, severity and hospitalization traits: a Mendelian randomization study

description: Additional file 14: Table S14. Univariable MR results of hematological traits and COVID-19 hospitalization risk.
DOI: 10.5066/p9lgh5zf
title: Sea star wasting disease pathology

description: Sea star wasting disease (SSWD) is a suite of poorly described non-specific clinical signs including abnormal posture, epidermal ulceration, and limb autotomy (sloughing) causing mortalities of over 20 species of sea stars and subsequent ecological shifts throughout the northeastern Pacific. While SSWD is widely assumed to be infectious with environmental conditions facilitating disease progression, little data exist on cellular changes associated with disease that could inform mechanisms of disease pathogenesis and host susceptibility. Here, we replicated SSWD by exposing captive Pisaster ochraceus to a suite of non-infectious organic substances and show that development of gross lesions is a basal to surface process involving inflammation (e.g. infiltration of coelomocytes) of ossicles and mutable collagenous tissues leading to epidermal ulceration. Affected sea stars also manifest increases in a heretofore undocumented coelomocyte type, spindle cells, that might be a useful marker of inflammation in this species. Finally, compared to purple morphs, orange P. ochraceus developed more severe lesions and survived longer. Longer lived, and presumably more visible severely lesioned orange sea stars, could have important demographic implications in terms of detectability of lesioned animals in the wild and measures of apparent prevalence of disease.
DOI: 10.5517/ccdc.csd.cc26084n
title: CCDC 2026040: Experimental Crystal Structure Determination

description: Related Article: Xiyuan Zhang, Yanfeng Gao, Yitong Liu, Zhiwei Miao|2021|J.Org.Chem.|86|8630|doi:10.1021/acs.joc.1c00336
DOI: 10.5517/ccdc.csd.cc2658b0
title: CCDC 2030851: Experimental Crystal Structure Determination

description: Related Article: Mingyi Jiang, Kaiqi Hu, Yuqiao Zhou, Qian Xiong, Weidi Cao, Xiaoming Feng|2021|Org.Lett.|23|5261|doi:10.1021/acs.orglett.1c01792
DOI: 10.5517/ccdc.csd.cc26p3vw
title: CCDC 2046088: Experimental Crystal Structure Determination

description: Related Article: Shuheng Xu, Sunliang Cui|2021|Org.Lett.|23|5197|doi:10.1021/acs.orglett.1c01734
DOI: 10.5517/ccdc.csd.cc26rkk3
title: CCDC 2048435: Experimental Crystal Structure Determination

description: Related Article: Akanksha M. Pandey, Naveen Kumar Digrawal, Nirmala Mohanta, Akash Bandu Jamdade, Moreshwar B. Chaudhari, Girish Singh Bisht, Boopathy Gnanaprakasam|2021|J.Org.Chem.|86|8805|doi:10.1021/acs.joc.1c00714
DOI: 10.5517/ccdc.csd.cc26rkm5
title: CCDC 2048437: Experimental Crystal Structure Determination

description: Related Article: Akanksha M. Pandey, Naveen Kumar Digrawal, Nirmala Mohanta, Akash Bandu Jamdade, Moreshwar B. Chaudhari, Girish Singh Bisht, Boopathy Gnanaprakasam|2021|J.Org.Chem.|86|8805|doi:10.1021/acs.joc.1c00714
DOI: 10.5517/ccdc.csd.cc26rs81
title: CCDC 2048643: Experimental Crystal Structure Determination

description: Related Article: Akanksha M. Pandey, Naveen Kumar Digrawal, Nirmala Mohanta, Akash Bandu Jamdade, Moreshwar B. Chaudhari, Girish Singh Bisht, Boopathy Gnanaprakasam|2021|J.Org.Chem.|86|8805|doi:10.1021/acs.joc.1c00714
DOI: 10.5517/ccdc.csd.cc26rs92
title: CCDC 2048644: Experimental Crystal Structure Determination

description: Related Article: Akanksha M. Pandey, Naveen Kumar Digrawal, Nirmala Mohanta, Akash Bandu Jamdade, Moreshwar B. Chaudhari, Girish Singh Bisht, Boopathy Gnanaprakasam|2021|J.Org.Chem.|86|8805|doi:10.1021/acs.joc.1c00714
DOI: 10.5517/ccdc.csd.cc26swd9
title: CCDC 2049701: Experimental Crystal Structure Determination

description: Related Article: Dan Yang, Xiong Wu, Xiao-Jie Zheng, Jian-Hua Xie, Qi-Lin Zhou|2021|Org.Lett.|23|5153|doi:10.1021/acs.orglett.1c01689
DOI: 10.5517/ccdc.csd.cc26vwgf
title: CCDC 2051625: Experimental Crystal Structure Determination

description: Related Article: Akanksha M. Pandey, Naveen Kumar Digrawal, Nirmala Mohanta, Akash Bandu Jamdade, Moreshwar B. Chaudhari, Girish Singh Bisht, Boopathy Gnanaprakasam|2021|J.Org.Chem.|86|8805|doi:10.1021/acs.joc.1c00714
DOI: 10.5517/ccdc.csd.cc26xrsp
title: CCDC 2053433: Experimental Crystal Structure Determination

description: Related Article: Igors Sokolovs, Nayereh Mohebbati, Robert Francke, Edgars Suna|2021|Angew.Chem.,Int.Ed.|60|15832|doi:10.1002/anie.202104677
DOI: 10.5517/ccdc.csd.cc2701dq
title: CCDC 2055622: Experimental Crystal Structure Determination

description: Related Article: Micha Michalak, Bartosz Bisek, Micha Nowacki, Marcin Górecki|2021|J.Org.Chem.|86|8955|doi:10.1021/acs.joc.1c00884
DOI: 10.5517/ccdc.csd.cc271cm9
title: CCDC 2056900: Experimental Crystal Structure Determination

description: Related Article: Zefeng Song, Weijia Wang, Zhixin Liu, Yue Lu, De Wang|2021|J.Org.Chem.|86|8590|doi:10.1021/acs.joc.1c00226
DOI: 10.5517/ccdc.csd.cc271zhs
title: CCDC 2057485: Experimental Crystal Structure Determination

description: Related Article: Arghya Ghosh, Sayan Shee, Shilpa Barik, Rajesh G. Gonnade, Akkattu T. Biju|2021|Org.Lett.|23|5223|doi:10.1021/acs.orglett.1c01761
DOI: 10.5517/ccdc.csd.cc272pdf
title: CCDC 2058164: Experimental Crystal Structure Determination

description: Related Article: Zefeng Song, Weijia Wang, Zhixin Liu, Yue Lu, De Wang|2021|J.Org.Chem.|86|8590|doi:10.1021/acs.joc.1c00226
DOI: 10.5517/ccdc.csd.cc278qkt
title: CCDC 2063966: Experimental Crystal Structure Determination

description: Related Article: Dakoju Ravi Kishore, Chander Shekhar, Gedu Satyanarayana|2021|J.Org.Chem.|86|8706|doi:10.1021/acs.joc.1c00525
DOI: 10.5517/ccdc.csd.cc278qlv
title: CCDC 2063967: Experimental Crystal Structure Determination

description: Related Article: Dakoju Ravi Kishore, Chander Shekhar, Gedu Satyanarayana|2021|J.Org.Chem.|86|8706|doi:10.1021/acs.joc.1c00525
DOI: 10.5517/ccdc.csd.cc279rfr
title: CCDC 2064954: Experimental Crystal Structure Determination

description: Related Article: Akanksha M. Pandey, Naveen Kumar Digrawal, Nirmala Mohanta, Akash Bandu Jamdade, Moreshwar B. Chaudhari, Girish Singh Bisht, Boopathy Gnanaprakasam|2021|J.Org.Chem.|86|8805|doi:10.1021/acs.joc.1c00714
DOI: 10.21227/mdfs-ya42
title: Weather Monitoring Station For Farms And Agriculture

description: This dataset includes the 3-day record (December 6 to December 8, 2020) of a plantation in the city of Guayaquil - Ecuador. This dataset includes the recording of the following variables: Relative Humidity, Environment Temperature, Soil moisture, Light intensity, and Rain Occurrence. An arduino uno module was used to record data, connected to the following sensors:DHT11, FC28, LDR and FC-37.The sampling frequency of one data every thirty seconds and with a resolution of 8 bits (UTF-8).References:Asanza V., Sanchez G., Cajo R., Peláez E. (2021) Behavioral Signal Processing with Machine Learning Based on FPGA. In: Botto-Tobar M., Zamora W., Larrea Plúa J., Bazurto Roldan J., Santamaría Philco A. (eds) Systems and Information Sciences. ICCIS 2020. Advances in Intelligent Systems and Computing, vol 1273. Springer, Cham. https://doi.org/10.1007/978-3-030-59194-6_17V. A. Armijos, N. S. Chan, R. Saquicela and L. M. Lopez, "Monitoring of system memory usage embedded in FPGA," 2020 International Conference on Applied Electronics (AE), Pilsen, Czech Republic, 2020, pp. 1-4, doi: 10.23919/AE49394.2020.9232863Cordova, R., Garcia, I. M., Munoz-Arcentales, A., Asanza, V., & Vargas, W. A. V. (2018). Modelo de red de comunicación que soporta un sistema de detección basado en criterios de robustez. IEEE Latin America Transactions, 16(10), 2600-2608
DOI: 10.5281/zenodo.5075429
title: OCTA image dataset with label annotation for quality assessment

description: This dataset is publish by the research "<em>A Deep Learning-based Quality Assessment and Segmentation System with a Large-scale Benchmark Dataset for Optical Coherence Tomographic Angiography Image</em>" Detail: OCTA image dataset with label annotation for quality assessment. sOCTA-3x3-10k: 10,480 3 × 3 mm<sup>2</sup> superficial vascular layer OCTA (sOCTA) images divided into three classes; sOCTA-6x6-14k: 14,042 6 × 6 mm<sup>2</sup> sOCTA images divided into three classes. GitHub: https://github.com/shanzha09/COIPS These datasets are public available, if you use the dataset or our system in your research, please <strong>cite</strong> our paper: <em><code>A Deep Learning-based Quality Assessment and Segmentation System with a Large-scale Benchmark Dataset for Optical Coherence Tomographic Angiography Image</code></em>.
DOI: 10.6084/m9.figshare.14938554
title: Water jet as a novel technique for enamel drilling ex vivo

description: Raw data of Water jet as a novel technique for enamel drilling ex vivo.
DOI: 10.6084/m9.figshare.14938554.v1
title: Water jet as a novel technique for enamel drilling ex vivo

description: Raw data of Water jet as a novel technique for enamel drilling ex vivo.
DOI: 10.5517/ccdc.csd.cc27dzc0
title: CCDC 2068052: Experimental Crystal Structure Determination

description: Related Article: Nastja Riemer, Martin Riemer, Mandy Krüger, Guy J. Clarkson, Michael Shipman, Bernd Schmidt|2021|J.Org.Chem.|86|8786|doi:10.1021/acs.joc.1c00638
DOI: 10.5517/ccdc.csd.cc27h698
title: CCDC 2070189: Experimental Crystal Structure Determination

description: Related Article: Dan Zhang, Naili Luo, Jianbo Gan, Xinyi Wan, Cunde Wang|2021|J.Org.Chem.|86|9218|doi:10.1021/acs.joc.1c00797
DOI: 10.5517/ccdc.csd.cc27h6b9
title: CCDC 2070190: Experimental Crystal Structure Determination

description: Related Article: Dan Zhang, Naili Luo, Jianbo Gan, Xinyi Wan, Cunde Wang|2021|J.Org.Chem.|86|9218|doi:10.1021/acs.joc.1c00797