cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5948880
title: Brazilian papers on Building Information Modeling published until 2021

description: Characterization of Brazilian research in BIM through articles published in Brazilian journals: PARC Research in Architecture and Construction, Project Management and Technology and Built Environment. It covered articles published until 07/2021. The characterization of the articles is by the fields:<br> ITEM: article number in the survey;<br> JOURNAL: Name of the Brazilian journal between Ambiente Construéido, Gestão & Tecnologia de Projetos and PARC Research in Architecture and Construction;<br> TITLE: Title of the article;<br> YEAR: year of publication;<br> INSTITUTION: name by extension of the Institution of the main author;<br> TYPE OF INSTITUTION: values between Public Education Institution, Private Education Institution, Private Company, State Public Company …;<br> LOCATION: Federative Unit of the main author's institution;<br> USE CATEGORY: chosen from MODEL USE SERIES in Category II as in https://bimexcellence.org/wp-content/uploads/211in-Model-Uses-Table.pdf ;<br> SUBCLASSIFICATION: chosen from MODEL USE in Category II as in https://bimexcellence.org/wp-content/uploads/211in-Model-Uses-Table.pdf;<br> BIBLIOGRAPHIC REFERENCE: ABNT format ;<br> LINK: url to the full article.
DOI: 10.5281/zenodo.5652524
title: Agricultural Residue Burning Emissions 2019 v1

description: The data provides the agricultural residue burning emission estimates over 11 agroclimatic zones of Madhya Pradesh, India, for the 2019 rabi season. It also includes supplementary information used in the emission estimation for the reader's reference. References: 1. Revised 1996 IPCC Guidelines for National Greenhouse Gas Inventories: Reference Manual (Volume 3)https://www.ipcc-nggip.iges.or.jp/public/gl/invs6c.html 2. Gupta, P. K.; Sahai, S.; Singh, N.; Dixit, C. K.; Singh, D. P.; Sharma, C.; Tiwari, M. K.; Gupta, R. K.; Garg, S. C. Residue Burning in Rice-Wheat Cropping System: Causes and Implications. Curr. Sci. 2004, 87 (12). 3. Jain, N.; Bhatia, A.; Pathak, H. Emission of Air Pollutants from Crop Residue Burning in India. Aerosol Air Qual. Res. 2014, 14 (1). https://doi.org/10.4209/aaqr.2013.01.0031. 4. Venkatramanan, V.; Shah, S.; Rai, A. K.; Prasad, R. Nexus Between Crop Residue Burning, Bioeconomy and Sustainable Development Goals Over North-Western India. Front. Energy Res. 2021, 8. https://doi.org/10.3389/fenrg.2020.614212. 5. Van Der Werf, G. R.; Randerson, J. T.; Giglio, L.; Collatz, G. J.; Mu, M.; Kasibhatla, P. S.; Morton, D. C.; Defries, R. S.; Jin, Y.; Van Leeuwen, T. T. Global Fire Emissions and the Contribution of Deforestation, Savanna, Forest, Agricultural, and Peat Fires (1997-2009). Atmos. Chem. Phys. 2010, 10 (23). https://doi.org/10.5194/acp-10-11707-2010.
DOI: 10.5281/zenodo.5652523
title: Agricultural Residue Burning Emissions 2019 v1

description: The data provides the agricultural residue burning emission estimates over 11 agroclimatic zones of Madhya Pradesh, India, for the 2019 rabi season. It also includes supplementary information used in the emission estimation for the reader's reference. References: 1. Revised 1996 IPCC Guidelines for National Greenhouse Gas Inventories: Reference Manual (Volume 3)https://www.ipcc-nggip.iges.or.jp/public/gl/invs6c.html 2. Gupta, P. K.; Sahai, S.; Singh, N.; Dixit, C. K.; Singh, D. P.; Sharma, C.; Tiwari, M. K.; Gupta, R. K.; Garg, S. C. Residue Burning in Rice-Wheat Cropping System: Causes and Implications. Curr. Sci. 2004, 87 (12). 3. Jain, N.; Bhatia, A.; Pathak, H. Emission of Air Pollutants from Crop Residue Burning in India. Aerosol Air Qual. Res. 2014, 14 (1). https://doi.org/10.4209/aaqr.2013.01.0031. 4. Venkatramanan, V.; Shah, S.; Rai, A. K.; Prasad, R. Nexus Between Crop Residue Burning, Bioeconomy and Sustainable Development Goals Over North-Western India. Front. Energy Res. 2021, 8. https://doi.org/10.3389/fenrg.2020.614212. 5. Van Der Werf, G. R.; Randerson, J. T.; Giglio, L.; Collatz, G. J.; Mu, M.; Kasibhatla, P. S.; Morton, D. C.; Defries, R. S.; Jin, Y.; Van Leeuwen, T. T. Global Fire Emissions and the Contribution of Deforestation, Savanna, Forest, Agricultural, and Peat Fires (1997-2009). Atmos. Chem. Phys. 2010, 10 (23). https://doi.org/10.5194/acp-10-11707-2010.
DOI: 10.5281/zenodo.5564533
title: Technology-based therapy-response and prognostic biomarkers in a prospective study of a de novo Parkinson's disease cohort

description: This database includes the raw data linked with the paper “ Technology-based therapy-response and prognostic biomarkers in a prospective study of a de novo Parkinson’s disease cohort” published on “NPJ Parkinson’s disease”. This work aims at identifying prognostic biomarkers in newly diagnosed PD patients and quantifying therapy-response. Forty de novo PD patients underwent clinical and technology-based kinematic assessments performing motor tasks (MDS-UPDRS part III) to assess tremor, bradykinesia, gait, and postural stability (T0). A visit after 6 months (T1) and a clinical and kinematic assessment after 12 months (T2) where scheduled. A clinical follow-up was provided between 30 and 36 months after the diagnosis (T3). We performed an ANOVA for repeated measures to compare patients’ kinematic features at baseline and at T2 to assess therapy response. Pearson correlation test was run between baseline kinematic features and UPDRS III score variation between T0 and T3, to select candidate kinematic prognostic biomarkers. A multiple linear regression model was created to predict the long-term motor outcome using T0 kinematic measures. All motor tasks significantly improved after the dopamine replacement therapy. A significant correlation was found between UPDRS scores variation and some baseline bradykinesia (toe tapping amplitude decrement, p = 0.009) and gait features (velocity of arms and legs, sit-to-stand time, p = 0.007; p = 0.009; p = 0.01, respectively). A linear regression model including four baseline kinematic features could significantly predict the motor outcome (p = 0.000214). Technology-based objective measures represent possible early and reproducible therapy-response and prognostic biomarkers.
DOI: 10.5281/zenodo.5564532
title: Technology-based therapy-response and prognostic biomarkers in a prospective study of a de novo Parkinson's disease cohort

description: This database includes the raw data linked with the paper “ Technology-based therapy-response and prognostic biomarkers in a prospective study of a de novo Parkinson’s disease cohort” published on “NPJ Parkinson’s disease”. This work aims at identifying prognostic biomarkers in newly diagnosed PD patients and quantifying therapy-response. Forty de novo PD patients underwent clinical and technology-based kinematic assessments performing motor tasks (MDS-UPDRS part III) to assess tremor, bradykinesia, gait, and postural stability (T0). A visit after 6 months (T1) and a clinical and kinematic assessment after 12 months (T2) where scheduled. A clinical follow-up was provided between 30 and 36 months after the diagnosis (T3). We performed an ANOVA for repeated measures to compare patients’ kinematic features at baseline and at T2 to assess therapy response. Pearson correlation test was run between baseline kinematic features and UPDRS III score variation between T0 and T3, to select candidate kinematic prognostic biomarkers. A multiple linear regression model was created to predict the long-term motor outcome using T0 kinematic measures. All motor tasks significantly improved after the dopamine replacement therapy. A significant correlation was found between UPDRS scores variation and some baseline bradykinesia (toe tapping amplitude decrement, p = 0.009) and gait features (velocity of arms and legs, sit-to-stand time, p = 0.007; p = 0.009; p = 0.01, respectively). A linear regression model including four baseline kinematic features could significantly predict the motor outcome (p = 0.000214). Technology-based objective measures represent possible early and reproducible therapy-response and prognostic biomarkers.
DOI: 10.5281/zenodo.5348896
title: delete incorrect update

description: delete incorrect update
DOI: 10.5281/zenodo.5348895
title: delete incorrect update

description: delete incorrect update
DOI: 10.5281/zenodo.6026068
title: Hands On Exercise 3: Productions constraints by timeslice

description: Files available in this repository: 1) Default example of MUSE 2) TechnodataTimeslices sheet 3) Final modelled example
DOI: 10.5281/zenodo.5348414
title: delete incorrect update

description: delete incorrect update
DOI: 10.5281/zenodo.5348413
title: delete incorrect update

description: delete incorrect update
DOI: 10.5281/zenodo.6026087
title: Hands On Exercise 3: Productions constraints by timeslice

description: Files available in this repository: 1) Default example of MUSE 2) TechnodataTimeslices sheet 3) Final modelled example
DOI: 10.6084/m9.figshare.19003251
title: The impact of omalizumab on paid and unpaid work productivity among severe Japanese cedar pollinosis (JCP) patients

description: Japanese cedar pollinosis (JCP) is a form of seasonal allergic rhinitis that affects 38.8% of the Japanese population. Particularly severe and most severe symptoms among JCP patients can lead to impairments of paid work productivity and unpaid work activities. Indeed, the current standard of care (SoC) is not always able to relieve these symptoms. Omalizumab, a novel JCP treatment recently approved in Japan, provides an effective add-on therapy to the SoC. This study estimates the effect of omalizumab on paid and unpaid work activities (i.e. its social impact) in patients with severe and most severe JCP symptoms in Japan. The impact of omalizumab was estimated through a one-year static cohort model using the Work Productivity and Activity Impairment Allergy Specific (WPAI-AS) questionnaire derived from a clinical trial on omalizumab enrolling patients with severe and most severe JCP symptoms, which had been conducted in Japan. This effect was quantified using Japanese official statistics on employment and time use. The human capital approach and the proxy good approach were employed to monetize paid and unpaid work activities, respectively. A sensitivity analysis was implemented to account for modeling structural uncertainties. Our results show that the use of omalizumab might reduce the paid and unpaid work productivity losses due to severe and most severe JCP by nearly one-third. In the severe symptom period of three weeks, 36.6 million hours of lost paid and unpaid work hours could be avoided, which sums up to a monetized productivity loss of 728.3 million USD. Omalizumab could provide substantial benefits in terms of paid and unpaid work activities in patients with severe and most severe JCP. Our results also highlight the importance of considering unpaid work in estimating productivity costs due to poor health.
DOI: 10.6084/m9.figshare.19003251.v2
title: The impact of omalizumab on paid and unpaid work productivity among severe Japanese cedar pollinosis (JCP) patients

description: Japanese cedar pollinosis (JCP) is a form of seasonal allergic rhinitis that affects 38.8% of the Japanese population. Particularly severe and most severe symptoms among JCP patients can lead to impairments of paid work productivity and unpaid work activities. Indeed, the current standard of care (SoC) is not always able to relieve these symptoms. Omalizumab, a novel JCP treatment recently approved in Japan, provides an effective add-on therapy to the SoC. This study estimates the effect of omalizumab on paid and unpaid work activities (i.e. its social impact) in patients with severe and most severe JCP symptoms in Japan. The impact of omalizumab was estimated through a one-year static cohort model using the Work Productivity and Activity Impairment Allergy Specific (WPAI-AS) questionnaire derived from a clinical trial on omalizumab enrolling patients with severe and most severe JCP symptoms, which had been conducted in Japan. This effect was quantified using Japanese official statistics on employment and time use. The human capital approach and the proxy good approach were employed to monetize paid and unpaid work activities, respectively. A sensitivity analysis was implemented to account for modeling structural uncertainties. Our results show that the use of omalizumab might reduce the paid and unpaid work productivity losses due to severe and most severe JCP by nearly one-third. In the severe symptom period of three weeks, 36.6 million hours of lost paid and unpaid work hours could be avoided, which sums up to a monetized productivity loss of 728.3 million USD. Omalizumab could provide substantial benefits in terms of paid and unpaid work activities in patients with severe and most severe JCP. Our results also highlight the importance of considering unpaid work in estimating productivity costs due to poor health.
DOI: 10.6084/m9.figshare.19003251.v1
title: The impact of omalizumab on paid and unpaid work productivity among severe Japanese cedar pollinosis (JCP) patients

description: Japanese cedar pollinosis (JCP) is a form of seasonal allergic rhinitis that affects 38.8% of the Japanese population. Particularly severe and most severe symptoms among JCP patients can lead to impairments of paid work productivity and unpaid work activities. Indeed, the current standard of care (SoC) is not always able to relieve these symptoms. Omalizumab, a novel JCP treatment recently approved in Japan, provides an effective add-on therapy to the SoC. This study estimates the effect of omalizumab on paid and unpaid work activities (i.e., its social impact) in patients with severe and most severe JCP symptoms in Japan. The impact of omalizumab was estimated through a one-year static cohort model using the Work Productivity and Activity Impairment Allergy Specific (WPAI-AS) questionnaire derived from a clinical trial on omalizumab enrolling patients with severe and most severe JCP symptoms, which had been conducted in Japan. This effect was quantified using Japanese official statistics on employment and time use. The human capital approach and the proxy good approach were employed to monetize paid and unpaid work activities, respectively. A sensitivity analysis was implemented to account for modeling structural uncertainties. Our results show that the use of omalizumab might reduce the paid and unpaid work productivity losses due to severe and most severe JCP by nearly one-third. In the severe symptom period of three weeks, 36.6 million hours of lost paid and unpaid work hours could be avoided, which sums up to a monetized productivity loss of 728.3 million USD. Omalizumab could provide substantial benefits in terms of paid and unpaid work activities in patients with severe and most severe JCP. Our results also highlight the importance of considering unpaid work in estimating productivity costs due to poor health.
DOI: 10.6084/m9.figshare.19146269
title: The Role of IS Artefact in Inspiring Employee Behavioral Streams towards Enhancing Organizational Safety

description: This data is collected to investigate the role of employee behavior on Information System Artefact (IS Artefact) towards achieving organizational safety. The study is expected to provide a sound knowledge on how IS Artefact aids employees in performing the daily tasks efficiently and thus providing them with simplified workflow that enhances organizational safety in construction sector. This survey is designed to help quantify the underlying concepts as well as make necessary clarification on the appropriateness of the measures.
DOI: 10.6084/m9.figshare.19146269.v1
title: The Role of IS Artefact in Inspiring Employee Behavioral Streams towards Enhancing Organizational Safety

description: This data is collected to investigate the role of employee behavior on Information System Artefact (IS Artefact) towards achieving organizational safety. The study is expected to provide a sound knowledge on how IS Artefact aids employees in performing the daily tasks efficiently and thus providing them with simplified workflow that enhances organizational safety in construction sector. This survey is designed to help quantify the underlying concepts as well as make necessary clarification on the appropriateness of the measures.
DOI: 10.15129/08503781-45a0-4555-9f49-e675427e5c08
title: Data for: "Measurement-induced phase transitions in sparse nonlocal scramblers"

description: Dataset for "Measurement-induced phase transitions in sparse nonlocal scramblers" This is a dataset which contains the csv files of the data points and small simplified scripts that are needed for recreating the figures 1c, 1d, 2b, 2c, 3b, 3c, 4b, 4c, 5b, 5c, 5d, 6a, 6b, 6c, 6d, 10a, 10b, 11a, 11b, 12a, 12b, 13a, 13b, 14, and 15 that are produced by Tomohiro Hashizume (University of Strathclyde) in the Journal Article *Measurement-induced phase transitions in sparse nonlocal scramblers* accepted in Physical Review Research on 28 January 2022. Each Folder `FIG_#` contains the data points of the relevant Figures in the **main text**. Please replace `#` with the relevant figure number. Each Folder `FIGAPP_#` contains the data points of the relevant Figures in the **Appendix**. Please replace `#` with the relevant figure number. Folder `scripts` contains small scripts which recreates the simplified versions of the relevant figures. For the details, please refer to the individual README files within the folders. Any known constants that are plotted are mentioned in the published text and they are also hard coded in the scripts in this dataset.
DOI: 10.5517/ccdc.csd.cc1lcq5v
title: CCDC 1471017: Experimental Crystal Structure Determination

description: Related Article: Reza Golbedaghi, Licínia L.G. Justino, Rui Fausto, Soraya Safarabadi, Maryam Alvandi|2019|Inorg.Chim.Acta|495|118941|doi:10.1016/j.ica.2019.05.040
DOI: 10.5517/ccdc.csd.cc1zh24p
title: CCDC 1831732: Experimental Crystal Structure Determination

description: Related Article: Cai-Ye Fu,  Yu-Qian Li,  Lu Chen,  Yun-Guang Wang,  Li-Rong Lin|2019|Inorg.Chim.Acta|495|118961|doi:10.1016/j.ica.2019.118961
DOI: 10.5517/ccdc.csd.cc1zh25q
title: CCDC 1831733: Experimental Crystal Structure Determination

description: Related Article: Cai-Ye Fu,  Yu-Qian Li,  Lu Chen,  Yun-Guang Wang,  Li-Rong Lin|2019|Inorg.Chim.Acta|495|118961|doi:10.1016/j.ica.2019.118961
DOI: 10.5517/ccdc.csd.cc1zh23n
title: CCDC 1831731: Experimental Crystal Structure Determination

description: Related Article: Cai-Ye Fu,  Yu-Qian Li,  Lu Chen,  Yun-Guang Wang,  Li-Rong Lin|2019|Inorg.Chim.Acta|495|118961|doi:10.1016/j.ica.2019.118961
DOI: 10.5517/ccdc.csd.cc2015z7
title: CCDC 1848188: Experimental Crystal Structure Determination

description: Related Article: Honggang Zhang,  Hua Yang,  Jie Yang,  Dacheng Li,  Jianmin Dou|2019|Inorg.Chim.Acta|495|119014|doi:10.1016/j.ica.2019.119014
description: Related Article: zhang honggang|2018|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2053lx
title: CCDC 1851958: Experimental Crystal Structure Determination

description: Related Article: Sisi Zhang|2018|CSD Communication|||
description: Related Article: Si-Si Zhang,  Yang-Tian Yan,  Wen-Yan Zhang,  Ya-Ke Fan,  Yu Zhang,  Kai Zhong,  Yao-Yu Wang|2019|Inorg.Chim.Acta|495|118971|doi:10.1016/j.ica.2019.118971
DOI: 10.5517/ccdc.csd.cc2053my
title: CCDC 1851959: Experimental Crystal Structure Determination

description: Related Article: Sisi Zhang|2018|CSD Communication|||
description: Related Article: Si-Si Zhang,  Yang-Tian Yan,  Wen-Yan Zhang,  Ya-Ke Fan,  Yu Zhang,  Kai Zhong,  Yao-Yu Wang|2019|Inorg.Chim.Acta|495|118971|doi:10.1016/j.ica.2019.118971
DOI: 10.5517/ccdc.csd.cc2053nz
title: CCDC 1851960: Experimental Crystal Structure Determination

description: Related Article: Sisi Zhang|2018|CSD Communication|||
description: Related Article: Si-Si Zhang,  Yang-Tian Yan,  Wen-Yan Zhang,  Ya-Ke Fan,  Yu Zhang,  Kai Zhong,  Yao-Yu Wang|2019|Inorg.Chim.Acta|495|118971|doi:10.1016/j.ica.2019.118971
DOI: 10.5517/ccdc.csd.cc2053p0
title: CCDC 1851961: Experimental Crystal Structure Determination

description: Related Article: Sisi Zhang|2018|CSD Communication|||
description: Related Article: Si-Si Zhang,  Yang-Tian Yan,  Wen-Yan Zhang,  Ya-Ke Fan,  Yu Zhang,  Kai Zhong,  Yao-Yu Wang|2019|Inorg.Chim.Acta|495|118971|doi:10.1016/j.ica.2019.118971
DOI: 10.5517/ccdc.csd.cc2053q1
title: CCDC 1851962: Experimental Crystal Structure Determination

description: Related Article: Sisi Zhang|2018|CSD Communication|||
description: Related Article: Si-Si Zhang,  Yang-Tian Yan,  Wen-Yan Zhang,  Ya-Ke Fan,  Yu Zhang,  Kai Zhong,  Yao-Yu Wang|2019|Inorg.Chim.Acta|495|118971|doi:10.1016/j.ica.2019.118971
DOI: 10.5517/ccdc.csd.cc2053r2
title: CCDC 1851963: Experimental Crystal Structure Determination

description: Related Article: Sisi Zhang|2018|CSD Communication|||
description: Related Article: Si-Si Zhang,  Yang-Tian Yan,  Wen-Yan Zhang,  Ya-Ke Fan,  Yu Zhang,  Kai Zhong,  Yao-Yu Wang|2019|Inorg.Chim.Acta|495|118971|doi:10.1016/j.ica.2019.118971
DOI: 10.5517/ccdc.csd.cc2053s3
title: CCDC 1851964: Experimental Crystal Structure Determination

description: Related Article: Sisi Zhang|2018|CSD Communication|||
description: Related Article: Si-Si Zhang,  Yang-Tian Yan,  Wen-Yan Zhang,  Ya-Ke Fan,  Yu Zhang,  Kai Zhong,  Yao-Yu Wang|2019|Inorg.Chim.Acta|495|118971|doi:10.1016/j.ica.2019.118971
DOI: 10.5517/ccdc.csd.cc209c90
title: CCDC 1856041: Experimental Crystal Structure Determination

description: Related Article: Francisco Sánchez-Férez, Roger Pou, Laura Bayés-García, Mercè Font-Bardia, Josefina Pons, José A. Ayllón|2020|Inorg.Chim.Acta|500|119218|doi:10.1016/j.ica.2019.119218
DOI: 10.5517/ccdc.csd.cc209cb1
title: CCDC 1856042: Experimental Crystal Structure Determination

description: Related Article: Francisco Sánchez-Férez, Roger Pou, Laura Bayés-García, Mercè Font-Bardia, Josefina Pons, José A. Ayllón|2020|Inorg.Chim.Acta|500|119218|doi:10.1016/j.ica.2019.119218
DOI: 10.5517/ccdc.csd.cc21967t
title: CCDC 1885675: Experimental Crystal Structure Determination

description: Related Article: Jacopo De Bellis, Daniela Belli Dell'Amico, Gianluca Ciancaleoni, Luca Labella, Fabio Marchetti, Simona Samaritani|2019|Inorg.Chim.Acta|495|118937|doi:10.1016/j.ica.2019.05.036
DOI: 10.5517/ccdc.csd.cc21968v
title: CCDC 1885676: Experimental Crystal Structure Determination

description: Related Article: Jacopo De Bellis, Daniela Belli Dell'Amico, Gianluca Ciancaleoni, Luca Labella, Fabio Marchetti, Simona Samaritani|2019|Inorg.Chim.Acta|495|118937|doi:10.1016/j.ica.2019.05.036
DOI: 10.5517/ccdc.csd.cc21969w
title: CCDC 1885677: Experimental Crystal Structure Determination

description: Related Article: Jacopo De Bellis, Daniela Belli Dell'Amico, Gianluca Ciancaleoni, Luca Labella, Fabio Marchetti, Simona Samaritani|2019|Inorg.Chim.Acta|495|118937|doi:10.1016/j.ica.2019.05.036
DOI: 10.5517/ccdc.csd.cc21c1gy
title: CCDC 1887449: Experimental Crystal Structure Determination

description: Related Article: Xiang Pan, Xiang Wang, Xiuli Wang, Guocheng Liu, Hongyan Lin, Yan Li|2019|Inorg.Chim.Acta|495|118998|doi:10.1016/j.ica.2019.118998
DOI: 10.5517/ccdc.csd.cc21c1hz
title: CCDC 1887450: Experimental Crystal Structure Determination

description: Related Article: Xiang Pan, Xiang Wang, Xiuli Wang, Guocheng Liu, Hongyan Lin, Yan Li|2019|Inorg.Chim.Acta|495|118998|doi:10.1016/j.ica.2019.118998
DOI: 10.5517/ccdc.csd.cc21c1j0
title: CCDC 1887451: Experimental Crystal Structure Determination

description: Related Article: Xiang Pan, Xiang Wang, Xiuli Wang, Guocheng Liu, Hongyan Lin, Yan Li|2019|Inorg.Chim.Acta|495|118998|doi:10.1016/j.ica.2019.118998
DOI: 10.5517/ccdc.csd.cc21c1k1
title: CCDC 1887452: Experimental Crystal Structure Determination

description: Related Article: Xiang Pan, Xiang Wang, Xiuli Wang, Guocheng Liu, Hongyan Lin, Yan Li|2019|Inorg.Chim.Acta|495|118998|doi:10.1016/j.ica.2019.118998
DOI: 10.5517/ccdc.csd.cc21dnsx
title: CCDC 1889009: Experimental Crystal Structure Determination

description: Related Article: Zhao-Qiang Zhu,  Hao Zhang,  Yi-Wei Li,  Rui-Lian Lin,  Wen-Qi Sun,  Xiang-Feng Chu,  Jing-Xin Liu,  Kai Chen|2019|Inorg.Chim.Acta|495|118990|doi:10.1016/j.ica.2019.118990