cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15121/1843040
title: Community Resilience through Low-Temperature Geothermal Reservoir Thermal Energy Storage

description: Submitted data include simulations related to underground thermal battery (UTB) simulations described in Modeling and efficiency study of large scale underground thermal battery deployment, presented at GRC, October 2021. The UTB is comprised of a tank of water, a helical heat exchanger in the center of tank and connected to a water source heat pump, and a phase change material (PCM). Compared to a conventional VBGHE, the UTB is designed to be installed at a much shallower depth, therefore, with a cheaper cost. In addition, the GSHP efficiency is improved due to natural convection of water and additional load capacity provided by PCM. The goal of this study is to explore factors that may affect the efficiency of large-scale UTB deployment. The simulations found in this submission relate to the report on UTB deployment.
DOI: 10.15121/1843041
title: Thermal-Hydrological-Mechanical Modelling of Stockton University Reservoir Cooling System, Fine Scale Stress Test Modelling

description: Mesh, properties, initial conditions, injection/withdrawal rates for modelling thermal, hydrological, and mechanical effects of fluid injection to and withdrawal from ground for Stockton University reservoir cooling system (aquifer storage cooling system), Galloway, New Jersey, for unscheduled two hour injection at 133 % designed capacity, on fine scale grid, with some results. Second simulation of J.T. Smith, E. Sonnenthal, P. Dobson, P. Nico, and M. Worthington, 2021. Thermal-hydrological-mechanical modeling of Stockton University reservoir cooling system, Proceedings of the 46th Workshop on Geothermal Reservoir Engineering, Stanford University, SGP-TR-218, from which Figures 6-9, pertain.
DOI: 10.15121/1843042
title: Thermal-Hydrological-Mechanical Modelling of Stockton University Reservoir Cooling System, Large Scale Grid

description: Mesh, properties, initial conditions, injection/withdrawal rates for modeling thermal, hydrological, and mechanical effects of fluid injection to and withdrawal from ground for Stockton University reservoir cooling system (aquifer storage cooling system), Galloway, New Jersey, on large scale grid, with some results. First simulation of J.T. Smith, E. Sonnenthal, P. Dobson, P. Nico, and M. Worthington, 2021. Thermal-hydrological-mechanical modeling of Stockton University reservoir cooling system, Proceedings of the 46th Workshop on Geothermal Reservoir Engineering, Stanford University, SGP-TR-218, from which Figures 1-5 pertain.
DOI: 10.6084/m9.figshare.16913302.v3
title: Views of Growth Mindset in a Southwestern School District

description: This survey of teachers about perceptions of interleaving and growth mindset from a southwestern school district was collected in Fall 2020.<br>This repository includes the survey data in .csv format, the Qualtrics survey file, and Qualtrics .pdf output of the survey.<br>Note that this is not the full dataset, as half of the participants (32/70) did not consent for their data to be shared for research purposes.
DOI: 10.34740/kaggle/dsv/3127402
title: BART Ridership
DOI: 10.6084/m9.figshare.16913302
title: Views of Growth Mindset in a Southwestern School District

description: This survey of teachers about perceptions of interleaving and growth mindset from a southwestern school district was collected in late 2020.<br>This repository includes the survey data in .csv format, the Qualtrics survey file, and data dictionary.<br>Note that this is not the full dataset, as half of the participants (32/70) did not consent for their data to be shared for research purposes.
DOI: 10.6084/m9.figshare.16913302.v5
title: Views of Growth Mindset in a Southwestern School District

description: This survey of teachers about perceptions of interleaving and growth mindset from a southwestern school district was collected in late 2020.<br>This repository includes the survey data in .csv format, the Qualtrics survey file, and data dictionary.<br>Note that this is not the full dataset, as half of the participants (32/70) did not consent for their data to be shared for research purposes.
DOI: 10.6084/m9.figshare.16913302.v4
title: Views of Growth Mindset in a Southwestern School District

description: This survey of teachers about perceptions of interleaving and growth mindset from a southwestern school district was collected in late 2020.<br>This repository includes the survey data in .csv format, the Qualtrics survey file, and Qualtrics .pdf output of the survey.<br>Note that this is not the full dataset, as half of the participants (32/70) did not consent for their data to be shared for research purposes.
DOI: 10.5281/zenodo.5945054
title: Mass spectra of IBM RILs

description: Mass spectra from IBM RILs generated with DLI-ESI MS.
DOI: 10.5281/zenodo.5945053
title: Mass spectra of IBM RILs

description: Mass spectra from IBM RILs generated with DLI-ESI MS.
DOI: 10.6084/m9.figshare.19105999
title: Additional file 1 of Growth of exclusively breastfed small for gestational age term infants in the first six months of life: a prospective cohort study

description: Additional file 1: Table S1. Baseline characteristics of infants included in the final analyses vs. those lost to follow up or excluded due to failure of exclusive breastfeeding. Table S2. Weight, length and head circumference measurement from birth to 6 months of age.
DOI: 10.6084/m9.figshare.19105999.v1
title: Additional file 1 of Growth of exclusively breastfed small for gestational age term infants in the first six months of life: a prospective cohort study

description: Additional file 1: Table S1. Baseline characteristics of infants included in the final analyses vs. those lost to follow up or excluded due to failure of exclusive breastfeeding. Table S2. Weight, length and head circumference measurement from birth to 6 months of age.
DOI: 10.6084/m9.figshare.19106156.v1
title: Additional file 1 of Detecting gene–gene interactions from GWAS using diffusion kernel principal components

description: Additional file 1. Table S1: Within gene network properties.
DOI: 10.6084/m9.figshare.19106156
title: Additional file 1 of Detecting gene–gene interactions from GWAS using diffusion kernel principal components

description: Additional file 1. Table S1: Within gene network properties.
DOI: 10.6084/m9.figshare.19106159
title: Additional file 2 of Detecting gene–gene interactions from GWAS using diffusion kernel principal components

description: Additional file 2. Table S2: Main effects from model.
DOI: 10.6084/m9.figshare.19106159.v1
title: Additional file 2 of Detecting gene–gene interactions from GWAS using diffusion kernel principal components

description: Additional file 2. Table S2: Main effects from model.
DOI: 10.6084/m9.figshare.19106197
title: Additional file 1 of Optimization of enzymatic fragmentation is crucial to maximize genome coverage: a comparison of library preparation methods for Illumina sequencing

description: Additional file 1: Table S1. Individual library concentrations.
DOI: 10.6084/m9.figshare.19106197.v1
title: Additional file 1 of Optimization of enzymatic fragmentation is crucial to maximize genome coverage: a comparison of library preparation methods for Illumina sequencing

description: Additional file 1: Table S1. Individual library concentrations.
DOI: 10.6084/m9.figshare.19106219.v1
title: Additional file 2 of Amphioxus muscle transcriptomes reveal vertebrate-like myoblast fusion genes and a highly conserved role of insulin signalling in the metabolism of muscle

description: Additional file 2.
DOI: 10.6084/m9.figshare.19106222.v1
title: Additional file 3 of Amphioxus muscle transcriptomes reveal vertebrate-like myoblast fusion genes and a highly conserved role of insulin signalling in the metabolism of muscle

description: Additional file 3.
DOI: 10.6084/m9.figshare.19106219
title: Additional file 2 of Amphioxus muscle transcriptomes reveal vertebrate-like myoblast fusion genes and a highly conserved role of insulin signalling in the metabolism of muscle

description: Additional file 2.
DOI: 10.6084/m9.figshare.19106222
title: Additional file 3 of Amphioxus muscle transcriptomes reveal vertebrate-like myoblast fusion genes and a highly conserved role of insulin signalling in the metabolism of muscle

description: Additional file 3.
DOI: 10.6084/m9.figshare.19106225
title: Additional file 4 of Amphioxus muscle transcriptomes reveal vertebrate-like myoblast fusion genes and a highly conserved role of insulin signalling in the metabolism of muscle

description: Additional file 4.
DOI: 10.6084/m9.figshare.19106225.v1
title: Additional file 4 of Amphioxus muscle transcriptomes reveal vertebrate-like myoblast fusion genes and a highly conserved role of insulin signalling in the metabolism of muscle

description: Additional file 4.
DOI: 10.6084/m9.figshare.19106231
title: Additional file 1 of Baseline blood count levels increase odds of cytopenia among CML patients in Kenya: a case control study

description: Additional file 1.
DOI: 10.6084/m9.figshare.19106231.v1
title: Additional file 1 of Baseline blood count levels increase odds of cytopenia among CML patients in Kenya: a case control study

description: Additional file 1.
DOI: 10.25505/fiz.icsd.cc23spn8
title: CSD 1960150: Experimental Crystal Structure Determination

description: Related Article: Bryan Owens-Baird,  Jian Wang,  Suyin Grass Wang,  Yu-Sheng Chen,  Shannon Lee,  Davide Donadio,  Kirill Kovnir|2020|J.Am.Chem.Soc.|142|2031|doi:10.1021/jacs.9b12351
DOI: 10.25505/fiz.icsd.cc23spp9
title: CSD 1960151: Experimental Crystal Structure Determination

description: Related Article: Bryan Owens-Baird,  Jian Wang,  Suyin Grass Wang,  Yu-Sheng Chen,  Shannon Lee,  Davide Donadio,  Kirill Kovnir|2020|J.Am.Chem.Soc.|142|2031|doi:10.1021/jacs.9b12351
DOI: 10.25505/fiz.icsd.cc23spqb
title: CSD 1960152: Experimental Crystal Structure Determination

description: Related Article: Bryan Owens-Baird,  Jian Wang,  Suyin Grass Wang,  Yu-Sheng Chen,  Shannon Lee,  Davide Donadio,  Kirill Kovnir|2020|J.Am.Chem.Soc.|142|2031|doi:10.1021/jacs.9b12351
DOI: 10.25505/fiz.icsd.cc23t469
title: CSD 1960570: Experimental Crystal Structure Determination

description: Related Article: Felix Christian Goerigk|2019|Z.Krist. - Supplement issues|39|93|
DOI: 10.25505/fiz.icsd.cc23t2bc
title: CSD 1960512: Experimental Crystal Structure Determination

description: Related Article: S. Baranets, M. Schäfer, S. Bobev|2019|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|75|1535|doi:10.1107/S205322961901427X
DOI: 10.25505/fiz.icsd.cc234z7h
title: CSD 1941196: Experimental Crystal Structure Determination

description: Related Article: Konstantin A. Brylev, Bulat S. Akhmadeev, Julia G. Elistratova, Irek R. Nizameev, Aidar T. Gubaidullin, Asiya R. Mustafina, Igor N. Novozhilov, Ilya V. Kashnik, Noboru Kitamura, Sung-Jin Kim, Yuri V. Mironov|2019|ICSD Communication|||
description: Related Article: Konstantin A. Brylev, Bulat S. Akhmadeev, Julia G. Elistratova, Irek R. Nizameev, Aidar T. Gubaidullin, Kirill V. Kholin, Ilya V. Kashnik, Noboru Kitamura, Sung-Jin Kim, Yuri V. Mironov, Asiya R. Mustafina|2019|Inorg.Chem.|58|15889|doi:10.1021/acs.inorgchem.9b02346
DOI: 10.25505/fiz.icsd.cc23t2cd
title: CSD 1960513: Experimental Crystal Structure Determination

description: Related Article: S. Baranets, M. Schäfer, S. Bobev|2019|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|75|1535|doi:10.1107/S205322961901427X
DOI: 10.25505/fiz.icsd.cc234z8j
title: CSD 1941197: Experimental Crystal Structure Determination

description: Related Article: Konstantin A. Brylev, Bulat S. Akhmadeev, Julia G. Elistratova, Irek R. Nizameev, Aidar T. Gubaidullin, Asiya R. Mustafina, Igor N. Novozhilov, Ilya V. Kashnik, Noboru Kitamura, Sung-Jin Kim, Yuri V. Mironov|2019|ICSD Communication|||
description: Related Article: Konstantin A. Brylev, Bulat S. Akhmadeev, Julia G. Elistratova, Irek R. Nizameev, Aidar T. Gubaidullin, Kirill V. Kholin, Ilya V. Kashnik, Noboru Kitamura, Sung-Jin Kim, Yuri V. Mironov, Asiya R. Mustafina|2019|Inorg.Chem.|58|15889|doi:10.1021/acs.inorgchem.9b02346
DOI: 10.25505/fiz.icsd.cc23t4dh
title: CSD 1960576: Experimental Crystal Structure Determination

description: Related Article: Ruiqi Wang, Haijie Chen, Yi Xiao, Ido Hadar, Kejun Bu, Xian Zhang, Jie Pan, Yuhao Gu, Zhongnan Guo, Fuqiang Huang, Mercouri G. Kanatzidis|2019|J.Am.Chem.Soc.|141|16903|doi:10.1021/jacs.9b08674
DOI: 10.25505/fiz.icsd.cc23t4gk
title: CSD 1960578: Experimental Crystal Structure Determination

description: Related Article: Ruiqi Wang, Haijie Chen, Yi Xiao, Ido Hadar, Kejun Bu, Xian Zhang, Jie Pan, Yuhao Gu, Zhongnan Guo, Fuqiang Huang, Mercouri G. Kanatzidis|2019|J.Am.Chem.Soc.|141|16903|doi:10.1021/jacs.9b08674
DOI: 10.5517/ccdc.csd.cc23tsb2
title: CCDC 1961194: Experimental Crystal Structure Determination

description: Related Article: B. Adinarayana, Kenichi Kato, Daiki Shimizu, Takayuki Tanaka, Ko Furukawa, Atsuhiro Osuka|2020|Angew.Chem.,Int.Ed.|59|4320|doi:10.1002/anie.201914480
DOI: 10.5517/ccdc.csd.cc23tsc3
title: CCDC 1961195: Experimental Crystal Structure Determination

description: Related Article: B. Adinarayana, Kenichi Kato, Daiki Shimizu, Takayuki Tanaka, Ko Furukawa, Atsuhiro Osuka|2020|Angew.Chem.,Int.Ed.|59|4320|doi:10.1002/anie.201914480
DOI: 10.5281/zenodo.5945265
title: Mass spectra of IBM RILs

description: Mass spectra of IBM RILs generated with DLI-ESI MS.
DOI: 10.5281/zenodo.5945264
title: Mass spectra of IBM RILs

description: Mass spectra of IBM RILs generated with DLI-ESI MS.
DOI: 10.21227/jm68-7821
title: Shopee Image Dataset(Thailand)

description: Object detection via images has advanced quickly over the last few decades, their detection accuracy, categorization, and localization are not consistent. Achieving fast and accurate detection of fashion products in the e-commerce environment is very important for selecting the right category. This is closely related to customer satisfaction and happiness which is a critical aspect.
DOI: 10.5281/zenodo.5945305
title: Simulation of Cold Ion Transport Originating from the SED Plume into Dayside Magnetosphere

description: Data output from DyFK simulations for ''Simulation of Cold Ion Transport Originating from the SED Plume into Dayside Magnetosphere''. Data descriptions are listed in "dataDescription.docx".
DOI: 10.5281/zenodo.5945413
title: Simulation of Cold Ion Transport Originating from the SED Plume into Dayside Magnetosphere

description: Data output from DyFK simulations for ''Simulation of Cold Ion Transport Originating from the SED Plume into Dayside Magnetosphere''. Data descriptions are listed in "dataDescription.docx".
DOI: 10.5281/zenodo.5945304
title: Simulation of Cold Ion Transport Originating from the SED Plume into Dayside Magnetosphere

description: Data output from DyFK simulations for ''Simulation of Cold Ion Transport Originating from the SED Plume into Dayside Magnetosphere''. Data descriptions are listed in "dataDescription.docx".
DOI: 10.6084/m9.figshare.19106429.v1
title: Data.zip

description: The data includes the following:- Sub watershed polygon- Ridge polyline- Stream polyline- Eroded volume rasters
DOI: 10.3886/e120321v11-108060
title: COVID-19 Twitter Dataset with Latent Topics, Sentiments and Emotions Attributes

description: This project aims to present a large dataset for researchers to discover public conversation on Twitter surrounding the COVID-19 pandemic. From 28 January 2020 to 1 September 2021, we collected over 198 million Twitter posts from more than 25 million unique users using four keywords: “corona”, “wuhan”, “nCov” and “covid”. Leveraging topic modeling techniques and pre-trained machine learning-based emotion analytic algorithms, we labeled each tweet with seventeen semantic attributes, including a) ten binary attributes indicating the tweet’s relevance or irrelevance to the top ten detected topics, b) five quantitative emotion attributes indicating the degree of intensity of the valence or sentiment (from 0: very negative to 1: very positive), and the degree of intensity of fear, anger, happiness and sadness emotions (from 0: not at all to 1: extremely intense), and c) two qualitative attributes indicating the sentiment category (very negative, negative, neutral or mixed, positive, very positive) and the dominant emotion category (fear, anger, happiness, sadness, no specific emotion) the tweet is mainly expressing.
description: Twitter posts.
description: The latest version has data updated up to 1 Sep 2021, including additional csv downloads for 29 countries)
DOI: 10.6084/m9.figshare.17185655
title: Supplementary Material for: Fluoride formed on enamel by fluoride varnish or gel application: A randomized controlled clinical trial

description: Although fluoride varnish (FV) and acidulated phosphate fluoride gel (APF-gel) are considered clinically effective to reduce caries, in vitro studies have shown that FV reacts slowly with enamel because most NaF present in the formulation is not solubilized in the FV. Therefore, we conducted a clinical study to evaluate if the time that FV remains on dental surfaces could overcome its slower chemical reactivity when compared with APF-gel. Sixty-eight volunteers were randomly allocated into four groups: Negative control (Control, no treatment), APF -gel application (1.23% F applied for 4 min), and FV application (Duraphat®, 2.26 % F) for 4 h (FV-4h) or 24 h (FV-24h). To evaluate fluoride formed and retained on enamel, acid biopsies were made on the buccal surfaces of the maxillary central incisors before, at the end of the application of fluoride products (immediately after gel application, or after 4 or 24 h of varnish application) and after 7 and 28 days. Fluoride concentration in dental biofilm was also analyzed before and up to 28 days after initial application. The data were analyzed by 2-way ANOVA, considering treatment and time as factors. The APF-gel and FV-24h groups formed greater fluoride concentration on enamel than the FV-4h and the control group at the end of application (p=0.0001), with no difference from each other (p=0.99). The groups did not differ regarding fluoride in biofilm, fluid (p=0.73) and solids (0.40). In conclusion, fluoride varnish needs to remain in contact with the teeth for prolonged times (&gt;4 h) to reach the same reactivity obtained by a 4-min application of APF-gel.
DOI: 10.6084/m9.figshare.17185655.v1
title: Supplementary Material for: Fluoride formed on enamel by fluoride varnish or gel application: A randomized controlled clinical trial

description: Although fluoride varnish (FV) and acidulated phosphate fluoride gel (APF-gel) are considered clinically effective to reduce caries, in vitro studies have shown that FV reacts slowly with enamel because most NaF present in the formulation is not solubilized in the FV. Therefore, we conducted a clinical study to evaluate if the time that FV remains on dental surfaces could overcome its slower chemical reactivity when compared with APF-gel. Sixty-eight volunteers were randomly allocated into four groups: Negative control (Control, no treatment), APF -gel application (1.23% F applied for 4 min), and FV application (Duraphat®, 2.26 % F) for 4 h (FV-4h) or 24 h (FV-24h). To evaluate fluoride formed and retained on enamel, acid biopsies were made on the buccal surfaces of the maxillary central incisors before, at the end of the application of fluoride products (immediately after gel application, or after 4 or 24 h of varnish application) and after 7 and 28 days. Fluoride concentration in dental biofilm was also analyzed before and up to 28 days after initial application. The data were analyzed by 2-way ANOVA, considering treatment and time as factors. The APF-gel and FV-24h groups formed greater fluoride concentration on enamel than the FV-4h and the control group at the end of application (p=0.0001), with no difference from each other (p=0.99). The groups did not differ regarding fluoride in biofilm, fluid (p=0.73) and solids (0.40). In conclusion, fluoride varnish needs to remain in contact with the teeth for prolonged times (&gt;4 h) to reach the same reactivity obtained by a 4-min application of APF-gel.
DOI: 10.25505/fiz.icsd.cc1y4bs6
title: CSD 1791638: Experimental Crystal Structure Determination

description: Related Article: Chang Liu, Yu Xiao, Huan Wang, Wenxiang Chai, Xiaofeng Liu, Dongming Yan, Hua Lin, Yi Liu|2020|Inorg.Chem.|59|1577|doi:10.1021/acs.inorgchem.9b03148
DOI: 10.25505/fiz.icsd.cc1y4bq4
title: CSD 1791636: Experimental Crystal Structure Determination

description: Related Article: Chang Liu, Yu Xiao, Huan Wang, Wenxiang Chai, Xiaofeng Liu, Dongming Yan, Hua Lin, Yi Liu|2020|Inorg.Chem.|59|1577|doi:10.1021/acs.inorgchem.9b03148
DOI: 10.25505/fiz.icsd.cc1y4br5
title: CSD 1791637: Experimental Crystal Structure Determination

description: Related Article: Chang Liu, Yu Xiao, Huan Wang, Wenxiang Chai, Xiaofeng Liu, Dongming Yan, Hua Lin, Yi Liu|2020|Inorg.Chem.|59|1577|doi:10.1021/acs.inorgchem.9b03148
DOI: 10.5517/ccdc.csd.cc23v66d
title: CCDC 1961593: Experimental Crystal Structure Determination

description: Related Article: Bai-Qiao Song, Qing-Yuan Yang, Shi-Qiang Wang, Matthias Vandichel, Amrit Kumar, Clare M. Crowley, Naveen Kumar, Cheng-Hua Deng, VICTORIA GASCON PEREZ, Matteo Lusi, Hui Wu, Wei Zhou, Michael J. Zaworotko|2020|J.Am.Chem.Soc.|142|6896|doi:10.1021/jacs.0c01314
DOI: 10.5517/ccdc.csd.cc23v67f
title: CCDC 1961594: Experimental Crystal Structure Determination

description: Related Article: Bai-Qiao Song, Qing-Yuan Yang, Shi-Qiang Wang, Matthias Vandichel, Amrit Kumar, Clare M. Crowley, Naveen Kumar, Cheng-Hua Deng, VICTORIA GASCON PEREZ, Matteo Lusi, Hui Wu, Wei Zhou, Michael J. Zaworotko|2020|J.Am.Chem.Soc.|142|6896|doi:10.1021/jacs.0c01314
DOI: 10.5517/ccdc.csd.cc23v68g
title: CCDC 1961595: Experimental Crystal Structure Determination

description: Related Article: Bai-Qiao Song, Qing-Yuan Yang, Shi-Qiang Wang, Matthias Vandichel, Amrit Kumar, Clare M. Crowley, Naveen Kumar, Cheng-Hua Deng, VICTORIA GASCON PEREZ, Matteo Lusi, Hui Wu, Wei Zhou, Michael J. Zaworotko|2020|J.Am.Chem.Soc.|142|6896|doi:10.1021/jacs.0c01314
DOI: 10.5517/ccdc.csd.cc23v69h
title: CCDC 1961596: Experimental Crystal Structure Determination

description: Related Article: Bai-Qiao Song, Qing-Yuan Yang, Shi-Qiang Wang, Matthias Vandichel, Amrit Kumar, Clare M. Crowley, Naveen Kumar, Cheng-Hua Deng, VICTORIA GASCON PEREZ, Matteo Lusi, Hui Wu, Wei Zhou, Michael J. Zaworotko|2020|J.Am.Chem.Soc.|142|6896|doi:10.1021/jacs.0c01314
DOI: 10.5517/ccdc.csd.cc23v6ck
title: CCDC 1961598: Experimental Crystal Structure Determination

description: Related Article: Bai-Qiao Song, Qing-Yuan Yang, Shi-Qiang Wang, Matthias Vandichel, Amrit Kumar, Clare M. Crowley, Naveen Kumar, Cheng-Hua Deng, VICTORIA GASCON PEREZ, Matteo Lusi, Hui Wu, Wei Zhou, Michael J. Zaworotko|2020|J.Am.Chem.Soc.|142|6896|doi:10.1021/jacs.0c01314
DOI: 10.25505/fiz.icsd.cc23vg4l
title: CSD 1961839: Experimental Crystal Structure Determination

description: Related Article: Mary B. Hertz, Ryan E. Baumbach, Susan E. Latturner|2020|Inorg.Chem.|59|3452|doi:10.1021/acs.inorgchem.9b03196
DOI: 10.25505/fiz.icsd.cc23vjvc
title: CSD 1961923: Experimental Crystal Structure Determination

description: Related Article: Pavel E. Kazin, Mikhail A. Zykin, Lev A. Trusov, Alexander V. Vasiliev, Reinhard K. Kremer, Robert E. Dinnebier, Martin Jansen|2020|Dalton Trans.|49|2014|doi:10.1039/C9DT04248B
DOI: 10.25505/fiz.icsd.cc23w3lq
title: CSD 1962473: Experimental Crystal Structure Determination

description: Related Article: Tassilo M. F. Restle, Christian Sedlmeier, Holger Kirchhain, Wilhelm Klein, Gabriele Raudaschl-Sieber, Volker L. Deringer, Leo van Wüllen, Hubert A. Gasteiger, Thomas F. Fässler|2020|Angew.Chem.,Int.Ed.|59|5665|doi:10.1002/anie.201914613
DOI: 10.25505/fiz.icsd.cc23w3mr
title: CSD 1962474: Experimental Crystal Structure Determination

description: Related Article: Tassilo M. F. Restle, Christian Sedlmeier, Holger Kirchhain, Wilhelm Klein, Gabriele Raudaschl-Sieber, Volker L. Deringer, Leo van Wüllen, Hubert A. Gasteiger, Thomas F. Fässler|2020|Angew.Chem.,Int.Ed.|59|5665|doi:10.1002/anie.201914613