cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.16550525.v2
title: Retinopathy and Systemic Disease Morbidity in Severe COVID-19

description: To assess the prevalence of retinopathy and its association with systemic morbidity and laboratory indices of coagulation and inflammatory dysfunction in severe COVID-19. Retrospective, observational cohort study. Adult patients hospitalized with severe COVID-19 who underwent ophthalmic examination from April to July 2020 were reviewed. Retinopathy was defined as one of the following: 1) Retinal hemorrhage; 2) Cotton wool spots; 3) Retinal vascular occlusion. We analyzed medical comorbidities, sequential organ failure assessment (SOFA) scores, clinical outcomes, and laboratory values for their association with retinopathy. Thirty-seven patients with severe COVID-19 were reviewed, the majority of whom were female (n = 23, 62%), Black (n = 26, 69%), and admitted to the intensive care unit (n = 35, 95%). Fourteen patients had retinopathy (38%) with retinal hemorrhage in 7 (19%), cotton wool spots in 8 (22%), and a branch retinal artery occlusion in 1 (3%) patient. Patients with retinopathy had higher SOFA scores than those without retinopathy (8.0 vs. 5.3, <i>p</i> = .03), higher rates of respiratory failure requiring invasive mechanical ventilation and shock requiring vasopressors (<i>p</i> p = .03). Peak CRP was higher in patients with cotton wool spots versus those without cotton wool spots (354 mg/dL vs. 268 mg/dL, <i>p</i> = .03). Multivariate logistic regression modeling showed an increased risk of retinopathy with higher peak D-dimers (aOR 1.32, 95% CI 1.01–1.73, <i>p</i> = .04) and male sex (aOR 9.6, 95% CI 1.2–75.5, <i>p</i> = .04). Retinopathy in severe COVID-19 was associated with greater systemic disease morbidity involving multiple organs. Given its association with coagulopathy and inflammation, retinopathy may offer insight into disease pathogenesis in patients with severe COVID-19.
DOI: 10.6084/m9.figshare.16550525.v1
title: Retinopathy and Systemic Disease Morbidity in Severe COVID-19

description: To assess the prevalence of retinopathy and its association with systemic morbidity and laboratory indices of coagulation and inflammatory dysfunction in severe COVID-19. Retrospective, observational cohort study. Adult patients hospitalized with severe COVID-19 who underwent ophthalmic examination from April to July 2020 were reviewed. Retinopathy was defined as one of the following: 1) Retinal hemorrhage; 2) Cotton wool spots; 3) Retinal vascular occlusion. We analyzed medical comorbidities, sequential organ failure assessment (SOFA) scores, clinical outcomes, and laboratory values for their association with retinopathy. Thirty-seven patients with severe COVID-19 were reviewed, the majority of whom were female (n = 23, 62%), Black (n = 26, 69%), and admitted to the intensive care unit (n = 35, 95%). Fourteen patients had retinopathy (38%) with retinal hemorrhage in 7 (19%), cotton wool spots in 8 (22%), and a branch retinal artery occlusion in 1 (3%) patient. Patients with retinopathy had higher SOFA scores than those without retinopathy (8.0 vs. 5.3, <i>p</i> = .03), higher rates of respiratory failure requiring invasive mechanical ventilation and shock requiring vasopressors (<i>p</i> p = .03). Peak CRP was higher in patients with cotton wool spots versus those without cotton wool spots (354 mg/dL vs. 268 mg/dL, <i>p</i> = .03). Multivariate logistic regression modeling showed an increased risk of retinopathy with higher peak D-dimers (aOR 1.32, 95% CI 1.01–1.73, <i>p</i> = .04) and male sex (aOR 9.6, 95% CI 1.2–75.5, <i>p</i> = .04). Retinopathy in severe COVID-19 was associated with greater systemic disease morbidity involving multiple organs. Given its association with coagulopathy and inflammation, retinopathy may offer insight into disease pathogenesis in patients with severe COVID-19.
DOI: 10.5281/zenodo.5585645
title: Research Compendium for Harrington et al. (2021): "An Open-Source Bayesian Atmospheric Radiative Transfer (BART) Code: I. Design, Tests, and Application to Exoplanet HD 189733 b"

description: This archive is the Reproducible Research Compendium for<br> <br> An Open-Source Bayesian Atmospheric Radiative Transfer (BART) Code: I. Design, Tests, and Application to Exoplanet HD 189733 b<br> <br> by Harrington et al. (2021), published in The Planetary Science Journal.<br> <br> BART is an atmospheric parameter retrieval code. It infers the properties of planetary atmospheres from spectroscopic observations. The compendium includes all the software, documentation, configuration files, plots, and data published in the paper. The compendium is under the Reproducible Research Software License; see LICENSE file. The README provides additional information and describes the contents of each compressed .tar.gz file.
description: Part of this work is based on observations made with the Spitzer Space Telescope, which is operated by the Jet Propulsion Laboratory, California Institute of Technology under a contract with NASA. This work was supported by NASA Planetary Atmospheres grant NNX12AI69G, NASA Astrophysics Data Analysis Program grant NNX13AF38G, and NASA Exoplanets Research Program grant NNX17AB62G, held by JH. MDH held NASA Fellowship Activity fellowship 80NSSC20K0682. JB held NASA Earth and Space Science Fellowship NNX12AL83H. IDD and JB held NASA Exoplanets Research Program grant NNX17AC03G. PEC was supported by the Fulbright Program for Foreign Students. PMR acknowledges support from CONICYT project Basal AFB-170002.
description: {"references": ["Harrington et al. (2021), An Open-Source Bayesian Atmospheric Radiative Transfer (BART) Code: I. Design, Tests, and Application to Exoplanet HD 189733 b, Planetary Science Journal"]}
DOI: 10.5281/zenodo.5585644
title: Research Compendium for Harrington et al. (2021): "An Open-Source Bayesian Atmospheric Radiative Transfer (BART) Code: I. Design, Tests, and Application to Exoplanet HD 189733 b"

description: This archive is the Reproducible Research Compendium for<br> <br> An Open-Source Bayesian Atmospheric Radiative Transfer (BART) Code: I. Design, Tests, and Application to Exoplanet HD 189733 b<br> <br> by Harrington et al. (2021), published in The Planetary Science Journal.<br> <br> BART is an atmospheric parameter retrieval code. It infers the properties of planetary atmospheres from spectroscopic observations. The compendium includes all the software, documentation, configuration files, plots, and data published in the paper. The compendium is under the Reproducible Research Software License; see LICENSE file. The README provides additional information and describes the contents of each compressed .tar.gz file.
description: Part of this work is based on observations made with the Spitzer Space Telescope, which is operated by the Jet Propulsion Laboratory, California Institute of Technology under a contract with NASA. This work was supported by NASA Planetary Atmospheres grant NNX12AI69G, NASA Astrophysics Data Analysis Program grant NNX13AF38G, and NASA Exoplanets Research Program grant NNX17AB62G, held by JH. MDH held NASA Fellowship Activity fellowship 80NSSC20K0682. JB held NASA Earth and Space Science Fellowship NNX12AL83H. IDD and JB held NASA Exoplanets Research Program grant NNX17AC03G. PEC was supported by the Fulbright Program for Foreign Students. PMR acknowledges support from CONICYT project Basal AFB-170002.
description: {"references": ["Harrington et al. (2021), An Open-Source Bayesian Atmospheric Radiative Transfer (BART) Code: I. Design, Tests, and Application to Exoplanet HD 189733 b, Planetary Science Journal"]}
DOI: 10.5281/zenodo.5587145
title: Hemiarius stormii SPAdes preassembly

description: .
DOI: 10.5281/zenodo.5587144
title: Hemiarius stormii SPAdes preassembly

description: .
DOI: 10.17863/cam.69219
title: Research data supporting "CLUSTERnGO: a user-defined modelling platform for two-stage clustering of time-series data"

description: Simple bioinformatic tools are frequently used to analyse time-series datasets regardless of their ability to deal with transient phenomena, limiting the meaningful information that may be extracted from them. This situation requires the development and exploitation of tailor-made, easy-to-use and flexible tools designed specifically for the analysis of time-series datasets. We present a novel statistical application called CLUSTERnGO, which uses a model-based clustering algorithm that fulfils this need. This algorithm involves two components of operation. Component 1 constructs a Bayesian non-parametric model (Infinite Mixture of Piecewise Linear Sequences) and Component 2, which applies a novel clustering methodology (Two-Stage Clustering). The software can also assign biological meaning to the identified clusters using an appropriate ontology. It applies multiple hypothesis testing to report the significance of these enrichments. The algorithm has a four-phase pipeline. The application can be executed using either command-line tools or a user-friendly Graphical User Interface. The C++ and QT source codes, the GUI applications for Windows, OS X and Linux operating systems and user manual are freely available for download under the GNU GPL v3 license in the compressed folder.
description: This record supports publication and is available at http://bioinformatics.oxfordjournals.org/content/early/2015/09/30/bioinformatics.btv532.long
description: This work was supported by the Biotechnology and Biological Sciences Research Council [BRIC2.2 grant BB/K011138/1 to S.G.O.], EU 7th Framework Programme [BIOLEDGE Contract No: 289126 to S.G.O.] and GNU GPLv3.
DOI: 10.17632/mddd73jdnz.1
title: Data for: Study of separation factor and product extraction ratio in hydrogen isotope separation with displacement chromatography

description: Data of the numerical simulation and the experiments in this article.
DOI: 10.17632/5pdnrnb2m3.1
title: Sorghum and Miscanthus Root and Soil Measurements from 2018

description: Root and soil samples were taken in sorghum and miscanthus at the University of Illinois Energy Farm and in miscanthus at the Iowa State University Long-term Assessment of Miscanthus Productivity and Sustainability (LAMPS) sites during 2018. Measurements taken include: root biomass, root respiration, carbon and nitrogen content, soil moisture and bulk density.
DOI: 10.17632/pk747fvxxp.1
title: Compositional phylogenomic modelling resolves the ‘Zoraptera problem’

description: The evolution of wings propelled insects to their present mega-diversity. However, interordinal relationships of early-diverging winged insects and the timescale of their evolution are difficult to resolve, in part due to uncertainties in the placement of the enigmatic and species-poor order Zoraptera. The ‘Zoraptera problem’ has remained a contentious issue in insect evolution since its discovery more than a century ago. This is a key issue because different placements of Zoraptera imply dramatically different scenarios of diversification and character evolution among polyneopteran. Here, we investigate the systematic placement of Zoraptera using the largest protein-coding gene dataset available to date, deploying methods to mitigate common sources of error in phylogenomic inference, and testing historically proposed hypotheses of zorapteran evolution.
DOI: 10.5517/ccdc.csd.cc28gk1c
title: CCDC 2099352: Experimental Crystal Structure Determination

description: Related Article: Yu Liu, Yan Wang, Wen-Ze Li, Ai-Ai Yang, Xiao-Sa Zhang, Hong-Zhu Liu, Zhong-Gang Wang|2021|J.Solid State Chem.|304|122589|doi:10.1016/j.jssc.2021.122589
DOI: 10.5517/ccdc.csd.cc28gh2b
title: CCDC 2099291: Experimental Crystal Structure Determination

description: Related Article: Zeineb Basdouri, Larry R. Falvello, Mohsen Graia, Milagros Tomás|2022|J.Mol.Struct.|1249|131640|doi:10.1016/j.molstruc.2021.131640
DOI: 10.5517/ccdc.csd.cc28gh3c
title: CCDC 2099292: Experimental Crystal Structure Determination

description: Related Article: Zeineb Basdouri, Larry R. Falvello, Mohsen Graia, Milagros Tomás|2022|J.Mol.Struct.|1249|131640|doi:10.1016/j.molstruc.2021.131640
DOI: 10.18120/8syb-0p50
title: Multisensory Integration
DOI: 10.5517/ccdc.csd.cc28hc05
title: CCDC 2100126: Experimental Crystal Structure Determination

description: Related Article: Nóra Popovics-Tóth, Bettina Rávai, Ádám Tajti, Bence Varga, Péter Bagi, Franc Perdih, Pál Tamás Szabó, László Hackler, László G. Puskás, Erika Bálint|2021|Org.Biomol.Chem.|19|8754|doi:10.1039/D1OB01610E
DOI: 10.5517/ccdc.csd.cc28hfmv
title: CCDC 2100207: Experimental Crystal Structure Determination

description: Related Article: Qiuqi Cai, Anthony T. Rice, Craig A. Pointer, Maxwell I. Martin, Brendan Davies, An Yu, Kaytlin Ward, Phoebe R. Hertler, Molly C. Warndorf, Glenn P.A. Yap, Elizabeth R. Young, Joel Rosenthal|2021|Inorg.Chem.|60|15797|doi:10.1021/acs.inorgchem.1c02458
DOI: 10.5517/ccdc.csd.cc28hfpx
title: CCDC 2100209: Experimental Crystal Structure Determination

description: Related Article: Qiuqi Cai, Anthony T. Rice, Craig A. Pointer, Maxwell I. Martin, Brendan Davies, An Yu, Kaytlin Ward, Phoebe R. Hertler, Molly C. Warndorf, Glenn P.A. Yap, Elizabeth R. Young, Joel Rosenthal|2021|Inorg.Chem.|60|15797|doi:10.1021/acs.inorgchem.1c02458
DOI: 10.5517/ccdc.csd.cc28j3xv
title: CCDC 2100867: Experimental Crystal Structure Determination

description: Related Article: Christopher H. Hossack, Raymond J. Butcher, Christopher L. Cahill, Claire Besson|2021|Inorg.Chem.|60|15724|doi:10.1021/acs.inorgchem.1c02390
DOI: 10.5517/ccdc.csd.cc28j3yw
title: CCDC 2100868: Experimental Crystal Structure Determination

description: Related Article: Christopher H. Hossack, Raymond J. Butcher, Christopher L. Cahill, Claire Besson|2021|Inorg.Chem.|60|15724|doi:10.1021/acs.inorgchem.1c02390
DOI: 10.5517/ccdc.csd.cc28j3zx
title: CCDC 2100869: Experimental Crystal Structure Determination

description: Related Article: Christopher H. Hossack, Raymond J. Butcher, Christopher L. Cahill, Claire Besson|2021|Inorg.Chem.|60|15724|doi:10.1021/acs.inorgchem.1c02390
DOI: 10.5517/ccdc.csd.cc28j40z
title: CCDC 2100870: Experimental Crystal Structure Determination

description: Related Article: Christopher H. Hossack, Raymond J. Butcher, Christopher L. Cahill, Claire Besson|2021|Inorg.Chem.|60|15724|doi:10.1021/acs.inorgchem.1c02390
DOI: 10.5517/ccdc.csd.cc28j410
title: CCDC 2100871: Experimental Crystal Structure Determination

description: Related Article: Christopher H. Hossack, Raymond J. Butcher, Christopher L. Cahill, Claire Besson|2021|Inorg.Chem.|60|15724|doi:10.1021/acs.inorgchem.1c02390
DOI: 10.5517/ccdc.csd.cc28j421
title: CCDC 2100872: Experimental Crystal Structure Determination

description: Related Article: Christopher H. Hossack, Raymond J. Butcher, Christopher L. Cahill, Claire Besson|2021|Inorg.Chem.|60|15724|doi:10.1021/acs.inorgchem.1c02390
DOI: 10.5517/ccdc.csd.cc28j432
title: CCDC 2100873: Experimental Crystal Structure Determination

description: Related Article: Christopher H. Hossack, Raymond J. Butcher, Christopher L. Cahill, Claire Besson|2021|Inorg.Chem.|60|15724|doi:10.1021/acs.inorgchem.1c02390
DOI: 10.5517/ccdc.csd.cc28j443
title: CCDC 2100874: Experimental Crystal Structure Determination

description: Related Article: Christopher H. Hossack, Raymond J. Butcher, Christopher L. Cahill, Claire Besson|2021|Inorg.Chem.|60|15724|doi:10.1021/acs.inorgchem.1c02390
DOI: 10.25442/hku.15132480
title: Stereorphotogrammetric DEMs of zhurong landing region

description: Stereorphotogrammetric DEMs of zhurong landing region.
DOI: 10.25442/hku.14703351.v1
title: Supporting data for "Accuracy in the digital workflow for complete-arch implant rehabilitation"

description: The accuracy of each stage of the digital workflow of complete-arch implant prosthesis has been evaluated. Five original studies were included in this dataset. The raw data are original scans acquired from optical scanners, and most of them were evaluated by reverse engineering software. The CMM measurements served as reference.
DOI: 10.25442/hku.14703351
title: Supporting data for "Accuracy in the digital workflow for complete-arch implant rehabilitation"

description: The accuracy of each stage of the digital workflow of complete-arch implant prosthesis has been evaluated. Five original studies were included in this dataset. The raw data are original scans acquired from optical scanners, and most of them were evaluated by reverse engineering software. The CMM measurements served as reference.
DOI: 10.18112/openneuro.ds002691.v1.1.0
title: Internal attention study
DOI: 10.6084/m9.figshare.13023095
title: SARS-CoV-2.rar

description: The glycoprotein spike (S) on the surface of SARS-CoV-2 is a determinant for viral invasion and host immune response. Herein, we characterized the site-specific N-glycosylation of S protein at the level of intact glycopeptides. All 22 potential N-glycosites were identified in the S-protein protomer and were found to be preserved among the 753 SARS-CoV-2 genome sequences. The glycosites exhibited glycoform heterogeneity as expected for a human cell-expressed protein subunits. We identified masses that correspond to 157 N-glycans, primarily of the complex type. In contrast, the insect cell-expressed S protein contained 38 N-glycans, completely of the high-mannose type. Our results revealed that the N-glycosylation of S protein was regularly occurred on each site and the glycan types were highly determined by the differential processing of N-glycans among human and insect cells, regardless of the location of glycosites, although N-glycans were diverse and heterogenous on each site. Moreover, the N-glycan compositions were conserved among different sizes of subunits. This N-glycosylation landscape and the differential N-glycan patterns among distinct host cells are expected to shed light on the infection mechanism and present a positive view for the development of vaccines and targeted drugs.
DOI: 10.6084/m9.figshare.16821439.v2
title: Genotyping data for Quercus aliena and Quercus dentata

description: Genotyping data for all 778 samples scored using Genemarker v. 2.2. Then normalzed the score by FlexiBinv2 in TXT format.
DOI: 10.5517/ccdc.csd.cc28j454
title: CCDC 2100875: Experimental Crystal Structure Determination

description: Related Article: Christopher H. Hossack, Raymond J. Butcher, Christopher L. Cahill, Claire Besson|2021|Inorg.Chem.|60|15724|doi:10.1021/acs.inorgchem.1c02390
DOI: 10.5517/ccdc.csd.cc28j465
title: CCDC 2100876: Experimental Crystal Structure Determination

description: Related Article: Christopher H. Hossack, Raymond J. Butcher, Christopher L. Cahill, Claire Besson|2021|Inorg.Chem.|60|15724|doi:10.1021/acs.inorgchem.1c02390
DOI: 10.5517/ccdc.csd.cc28j476
title: CCDC 2100877: Experimental Crystal Structure Determination

description: Related Article: Christopher H. Hossack, Raymond J. Butcher, Christopher L. Cahill, Claire Besson|2021|Inorg.Chem.|60|15724|doi:10.1021/acs.inorgchem.1c02390
DOI: 10.5517/ccdc.csd.cc28j487
title: CCDC 2100878: Experimental Crystal Structure Determination

description: Related Article: Christopher H. Hossack, Raymond J. Butcher, Christopher L. Cahill, Claire Besson|2021|Inorg.Chem.|60|15724|doi:10.1021/acs.inorgchem.1c02390
DOI: 10.5517/ccdc.csd.cc28j498
title: CCDC 2100879: Experimental Crystal Structure Determination

description: Related Article: Christopher H. Hossack, Raymond J. Butcher, Christopher L. Cahill, Claire Besson|2021|Inorg.Chem.|60|15724|doi:10.1021/acs.inorgchem.1c02390
DOI: 10.5517/ccdc.csd.cc28j4b9
title: CCDC 2100880: Experimental Crystal Structure Determination

description: Related Article: Christopher H. Hossack, Raymond J. Butcher, Christopher L. Cahill, Claire Besson|2021|Inorg.Chem.|60|15724|doi:10.1021/acs.inorgchem.1c02390
DOI: 10.5517/ccdc.csd.cc28j4cb
title: CCDC 2100881: Experimental Crystal Structure Determination

description: Related Article: Christopher H. Hossack, Raymond J. Butcher, Christopher L. Cahill, Claire Besson|2021|Inorg.Chem.|60|15724|doi:10.1021/acs.inorgchem.1c02390
DOI: 10.5517/ccdc.csd.cc28j4dc
title: CCDC 2100882: Experimental Crystal Structure Determination

description: Related Article: Christopher H. Hossack, Raymond J. Butcher, Christopher L. Cahill, Claire Besson|2021|Inorg.Chem.|60|15724|doi:10.1021/acs.inorgchem.1c02390
DOI: 10.5517/ccdc.csd.cc28j4fd
title: CCDC 2100883: Experimental Crystal Structure Determination

description: Related Article: Christopher H. Hossack, Raymond J. Butcher, Christopher L. Cahill, Claire Besson|2021|Inorg.Chem.|60|15724|doi:10.1021/acs.inorgchem.1c02390
DOI: 10.5517/ccdc.csd.cc28j4gf
title: CCDC 2100884: Experimental Crystal Structure Determination

description: Related Article: Christopher H. Hossack, Raymond J. Butcher, Christopher L. Cahill, Claire Besson|2021|Inorg.Chem.|60|15724|doi:10.1021/acs.inorgchem.1c02390
DOI: 10.5517/ccdc.csd.cc28j4hg
title: CCDC 2100885: Experimental Crystal Structure Determination

description: Related Article: Christopher H. Hossack, Raymond J. Butcher, Christopher L. Cahill, Claire Besson|2021|Inorg.Chem.|60|15724|doi:10.1021/acs.inorgchem.1c02390
DOI: 10.5517/ccdc.csd.cc28j4jh
title: CCDC 2100886: Experimental Crystal Structure Determination

description: Related Article: Christopher H. Hossack, Raymond J. Butcher, Christopher L. Cahill, Claire Besson|2021|Inorg.Chem.|60|15724|doi:10.1021/acs.inorgchem.1c02390
DOI: 10.5517/ccdc.csd.cc28j678
title: CCDC 2100939: Experimental Crystal Structure Determination

description: Related Article: Yuuki Inomata, Tomohisa Sawada, Makoto Fujita|2021|J.Am.Chem.Soc.|143|16734|doi:10.1021/jacs.1c08094
DOI: 10.5517/ccdc.csd.cc28j69b
title: CCDC 2100941: Experimental Crystal Structure Determination

description: Related Article: Yuuki Inomata, Tomohisa Sawada, Makoto Fujita|2021|J.Am.Chem.Soc.|143|16734|doi:10.1021/jacs.1c08094
DOI: 10.5517/ccdc.csd.cc28j6bc
title: CCDC 2100942: Experimental Crystal Structure Determination

description: Related Article: Yuuki Inomata, Tomohisa Sawada, Makoto Fujita|2021|J.Am.Chem.Soc.|143|16734|doi:10.1021/jacs.1c08094
DOI: 10.5517/ccdc.csd.cc28j6cd
title: CCDC 2100943: Experimental Crystal Structure Determination

description: Related Article: Yuuki Inomata, Tomohisa Sawada, Makoto Fujita|2021|J.Am.Chem.Soc.|143|16734|doi:10.1021/jacs.1c08094
DOI: 10.5517/ccdc.csd.cc28k1hd
title: CCDC 2101753: Experimental Crystal Structure Determination

description: Related Article: Xin Zhou, Hyejin Kwon, Richard R. Thompson, Robert J. Herman, Frank R. Fronczek, Carson J. Bruns, Semin Lee|2021|Chem.Commun.|57|10887|doi:10.1039/D1CC04776K
DOI: 10.5517/ccdc.csd.cc28k275
title: CCDC 2101776: Experimental Crystal Structure Determination

description: Related Article: Chihiro Kachi-Terajima, Miku Okubo, Mari Ikeda, Yoichi Habata|2021|Chem.Commun.|57|10939|doi:10.1039/D1CC04567A
DOI: 10.5517/ccdc.csd.cc28k286
title: CCDC 2101777: Experimental Crystal Structure Determination

description: Related Article: Chihiro Kachi-Terajima, Miku Okubo, Mari Ikeda, Yoichi Habata|2021|Chem.Commun.|57|10939|doi:10.1039/D1CC04567A
DOI: 10.5517/ccdc.csd.cc28k297
title: CCDC 2101778: Experimental Crystal Structure Determination

description: Related Article: Chihiro Kachi-Terajima, Miku Okubo, Mari Ikeda, Yoichi Habata|2021|Chem.Commun.|57|10939|doi:10.1039/D1CC04567A
DOI: 10.5517/ccdc.csd.cc28k2b8
title: CCDC 2101779: Experimental Crystal Structure Determination

description: Related Article: Chihiro Kachi-Terajima, Miku Okubo, Mari Ikeda, Yoichi Habata|2021|Chem.Commun.|57|10939|doi:10.1039/D1CC04567A
DOI: 10.34740/kaggle/dsv/2724872
title: CPSC2021-sliced