cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4717669
title: Evaluation of Effectiveness of Entomopathogenic Nematodes as a Biological Control against Gryllotalpa gryllotalpa Linnaeus (Orthoptera: Gryllotalpidae)

description: <strong>The percentage of adult mortality of <em>G. gryllotalpa</em> by using different concentrations and comparative toxicity of <em>H. bacteriophora</em> Hb88 and <em>S. carpocapsae</em> All after 4 and 8 days of treatments</strong>
DOI: 10.5281/zenodo.4717668
title: Evaluation of Effectiveness of Entomopathogenic Nematodes as a Biological Control against Gryllotalpa gryllotalpa Linnaeus (Orthoptera: Gryllotalpidae)

description: <strong>The percentage of adult mortality of <em>G. gryllotalpa</em> by using different concentrations and comparative toxicity of <em>H. bacteriophora</em> Hb88 and <em>S. carpocapsae</em> All after 4 and 8 days of treatments</strong>
DOI: 10.6084/m9.figshare.14420817.v1
title: Porosity and fragmentation of the block in the city core: a Nolli’s innovation perspective

description: Urban centrality demands building space that erodes and implodes blocks in the most accessible places. Nolli’s map made in 1748 was the first known graphic reference that visualised the phenomenon. The map and its contemporary interpretation are the starting point for this paper. The research has graphic support from existing maps that used Nolli’s idea to represent those cities, and other maps created <i>ad hoc</i>. It is argued how territories are divided into small units that fold and wrinkle, drawing the conclusion that they do it to (i) find the maximum useful surface area in the minimum amount of space; (ii) concentrate activity; (iii) enable interaction; (iv) optimise resources; (v) accelerate processes; and (vi) cure urban diseases. Methodologically, this is done in two large sections, one showing erosion, division and fragmentation of the central urban layouts, and another emphasising the importance of architecture extending urban layouts to other directions.
DOI: 10.5281/zenodo.4718901
title: R code to perform distribution models of Plain Tyrannulet (Inezia inornata)

description: Archiving to Zenodo for publication
DOI: 10.5281/zenodo.4718900
title: R code to perform distribution models of Plain Tyrannulet (Inezia inornata)

description: Archiving to Zenodo for publication
DOI: 10.6084/m9.figshare.9792092.v1
title: Greenhouse gas emissions from SE QLD estuaries

description: Data associated with the, “Unravelling the drivers of greenhouse gas emissions in estuaries” project, funded by ARC Linkage Grant LP150100519. <br> Contact Naomi Wells (naomi.wells@scu.edu.au) if you have any questions or queries about the data. Project Team: Bradley Eyre, Matt Hipsey, Badin Gibbs, Dirk Erler, Damien Maher, Naomi Wells, Peisheng Huang, Jian-Jhih Chen (Kenji) <br> Description: Data is from surface water surveys carried out in eight estuaries in SE Queensland, Australia in 03/2016 (wet season) and 10/2016 (dry season). The estuaries are labelled as No (Noosa River Estuary), Ma (Maroochy River Estuary), Mo (Mooloolah River Estuary), Ca (Caboolture River Estuary), Pi (Pine River Estuary), Br (Brisbane River Estuary, including Oxley Creek, Ox), Lo and Al (Logan/Albert Rivers Estuary), and Ne (Nerang River Estuary). <br> Publications associated with this data: Wells, N. S., Erler, D. V., Maher, D. T., Rosentreter, J., Hipsey, M. R., & Eyre, B. D. (2018). Estuaries as sources and sinks of N2O across a land‐use gradient in subtropical Australia Global Biogeochemical Cycles, 32, 877-894. doi:https://doi.org/10.1029/2017GB005826 Wells, N. S., & Eyre, B. D. (2019). δ15N patterns in three sub-tropical estuaries show switch from nitrogen ‘reactors’ to ‘pipes’ as degradation increases. Limnology and Oceanography, 64, 860-876. doi:doi: 10.1002/lno.11080 Wells, N. S., Maher, D. T., Huang, P., Erler, D. V., Maxwell, P., Hipsey, M. R., & Eyre, B. D. (in review). Land-use intensity alters both the source and fate of CO2 within eight sub-tropical estuaries. Geochimica et Cosmochimica Acta. <br> <br>
DOI: 10.5281/zenodo.4718871
title: LCM ensemble model results with GCCN and TICE effect

description: Original data from the LCM ensemble model results (time series and spectra data)
DOI: 10.6084/m9.figshare.14481717
title: dishwasher_best_e5w199b500.h5

description: Dishwasher pretrained model-seq2point
DOI: 10.6084/m9.figshare.14481705
title: microwave_best_e2w11.h5

description: Seq2point pretrained model: microwave
DOI: 10.6084/m9.figshare.14481899
title: Data for models 1 and 2; Data for models 3 and 4; Data for models 5 and 6; Stats code from Problem solving in European bison (<i>Bison bonasus</i>): two experimental approaches

description: In the video you can see how a bison puch a bucket towards the researcheŕs area; Data for models 1 and 2; Data for models 3 and 4; Data for models 5 and 6; Stats code
DOI: 10.6084/m9.figshare.14481899.v1
title: Data for models 1 and 2; Data for models 3 and 4; Data for models 5 and 6; Stats code from Problem solving in European bison (<i>Bison bonasus</i>): two experimental approaches

description: In the video you can see how a bison puch a bucket towards the researcheŕs area; Data for models 1 and 2; Data for models 3 and 4; Data for models 5 and 6; Stats code
DOI: 10.6084/m9.figshare.14481914
title: Ovariole number search terms from Repeated loss of variation in insect ovary morphology highlights the role of development in life-history evolution

description: Set of search terms used to generate ovariole number dataset
DOI: 10.6084/m9.figshare.14481914.v1
title: Ovariole number search terms from Repeated loss of variation in insect ovary morphology highlights the role of development in life-history evolution

description: Set of search terms used to generate ovariole number dataset
DOI: 10.14457/tu.the.2010.60
title: การประหยัดพลังงานในเครื่องสูบแบบหอยโข่ง ด้วยการลดขนาดใบพัด /
DOI: 10.6084/m9.figshare.14481938.v1
title: Additional file 3 of MSF experiences of providing multidisciplinary primary level NCD care for Syrian refugees and the host population in Jordan: an implementation study guided by the RE-AIM framework

description: Additional file 3. Programme Timeline MSF NCD programme in Irbid, north Jordan. Timeline showing key contextual and programmatic change during the study period December 2014 to December 2017.
DOI: 10.6084/m9.figshare.14481938
title: Additional file 3 of MSF experiences of providing multidisciplinary primary level NCD care for Syrian refugees and the host population in Jordan: an implementation study guided by the RE-AIM framework

description: Additional file 3. Programme Timeline MSF NCD programme in Irbid, north Jordan. Timeline showing key contextual and programmatic change during the study period December 2014 to December 2017.
DOI: 10.14457/cu.the.2010.207
title: การพัฒนารูปแบบการเรียนแบบเครือข่ายสังคมผ่านระบบออนไลน์ด้วยทฤษฎีการเรียนรู้เชิงสถานการณ์เพื่อเสริมสร้างความตระหนักระหว่างวัฒนธรรมของผู้เรียนภาษาต่างประเทศ /
DOI: 10.6084/m9.figshare.14481924.v1
title: Supplemental files.rar

description: These supplementary files include human participant consent form, Ethics approval documents, and the full-length images of western blot (Figure 4C, 5F, 6C).
DOI: 10.6084/m9.figshare.14481924
title: Supplemental files.rar

description: These supplementary files include human participant consent form, Ethics approval documents, and the full-length images of western blot (Figure 4C, 5F, 6C).
DOI: 10.6084/m9.figshare.14481975
title: Case data with referenced sources for other countries/regions from Novel coronavirus 2019-nCoV (COVID-19): early estimation of epidemiological parameters and epidemic size estimates

description: Since it was first identified, the epidemic scale of the recently emerged novel coronavirus (2019-nCoV) in Wuhan, China, has increased rapidly, with cases arising across China and other countries and regions. Using a transmission model, we estimate a basic reproductive number of 3.11 (95% CI, 2.39–4.13), indicating that 58–76% of transmissions must be prevented to stop increasing. We also estimate a case ascertainment rate in Wuhan of 5.0% (95% CI, 3.6–7.4). The true size of the epidemic may be significantly greater than the published case counts suggest, with our model estimating 21 022 (prediction interval, 11 090–33 490) total infections in Wuhan between 1 and 22 January. We discuss our findings in the light of more recent information.This article is part of the theme issue ‘Modelling that shaped the early COVID-19 pandemic response in the UK’.
DOI: 10.6084/m9.figshare.14481978
title: R code file sourced by figures_main_paper.R from Novel coronavirus 2019-nCoV (COVID-19): early estimation of epidemiological parameters and epidemic size estimates

description: Since it was first identified, the epidemic scale of the recently emerged novel coronavirus (2019-nCoV) in Wuhan, China, has increased rapidly, with cases arising across China and other countries and regions. Using a transmission model, we estimate a basic reproductive number of 3.11 (95% CI, 2.39–4.13), indicating that 58–76% of transmissions must be prevented to stop increasing. We also estimate a case ascertainment rate in Wuhan of 5.0% (95% CI, 3.6–7.4). The true size of the epidemic may be significantly greater than the published case counts suggest, with our model estimating 21 022 (prediction interval, 11 090–33 490) total infections in Wuhan between 1 and 22 January. We discuss our findings in the light of more recent information.This article is part of the theme issue ‘Modelling that shaped the early COVID-19 pandemic response in the UK’.
DOI: 10.6084/m9.figshare.14481984
title: R code for generating Figures 2, 3 and 4 and Table 1 and numbers used in main text. from Novel coronavirus 2019-nCoV (COVID-19): early estimation of epidemiological parameters and epidemic size estimates

description: Since it was first identified, the epidemic scale of the recently emerged novel coronavirus (2019-nCoV) in Wuhan, China, has increased rapidly, with cases arising across China and other countries and regions. Using a transmission model, we estimate a basic reproductive number of 3.11 (95% CI, 2.39–4.13), indicating that 58–76% of transmissions must be prevented to stop increasing. We also estimate a case ascertainment rate in Wuhan of 5.0% (95% CI, 3.6–7.4). The true size of the epidemic may be significantly greater than the published case counts suggest, with our model estimating 21 022 (prediction interval, 11 090–33 490) total infections in Wuhan between 1 and 22 January. We discuss our findings in the light of more recent information.This article is part of the theme issue ‘Modelling that shaped the early COVID-19 pandemic response in the UK’.
DOI: 10.6084/m9.figshare.14481984.v1
title: R code for generating Figures 2, 3 and 4 and Table 1 and numbers used in main text. from Novel coronavirus 2019-nCoV (COVID-19): early estimation of epidemiological parameters and epidemic size estimates

description: Since it was first identified, the epidemic scale of the recently emerged novel coronavirus (2019-nCoV) in Wuhan, China, has increased rapidly, with cases arising across China and other countries and regions. Using a transmission model, we estimate a basic reproductive number of 3.11 (95% CI, 2.39–4.13), indicating that 58–76% of transmissions must be prevented to stop increasing. We also estimate a case ascertainment rate in Wuhan of 5.0% (95% CI, 3.6–7.4). The true size of the epidemic may be significantly greater than the published case counts suggest, with our model estimating 21 022 (prediction interval, 11 090–33 490) total infections in Wuhan between 1 and 22 January. We discuss our findings in the light of more recent information.This article is part of the theme issue ‘Modelling that shaped the early COVID-19 pandemic response in the UK’.
DOI: 10.6084/m9.figshare.14481987
title: Case data with referenced sources for cities within China from Novel coronavirus 2019-nCoV (COVID-19): early estimation of epidemiological parameters and epidemic size estimates

description: Since it was first identified, the epidemic scale of the recently emerged novel coronavirus (2019-nCoV) in Wuhan, China, has increased rapidly, with cases arising across China and other countries and regions. Using a transmission model, we estimate a basic reproductive number of 3.11 (95% CI, 2.39–4.13), indicating that 58–76% of transmissions must be prevented to stop increasing. We also estimate a case ascertainment rate in Wuhan of 5.0% (95% CI, 3.6–7.4). The true size of the epidemic may be significantly greater than the published case counts suggest, with our model estimating 21 022 (prediction interval, 11 090–33 490) total infections in Wuhan between 1 and 22 January. We discuss our findings in the light of more recent information.This article is part of the theme issue ‘Modelling that shaped the early COVID-19 pandemic response in the UK’.
DOI: 10.6084/m9.figshare.14481987.v1
title: Case data with referenced sources for cities within China from Novel coronavirus 2019-nCoV (COVID-19): early estimation of epidemiological parameters and epidemic size estimates

description: Since it was first identified, the epidemic scale of the recently emerged novel coronavirus (2019-nCoV) in Wuhan, China, has increased rapidly, with cases arising across China and other countries and regions. Using a transmission model, we estimate a basic reproductive number of 3.11 (95% CI, 2.39–4.13), indicating that 58–76% of transmissions must be prevented to stop increasing. We also estimate a case ascertainment rate in Wuhan of 5.0% (95% CI, 3.6–7.4). The true size of the epidemic may be significantly greater than the published case counts suggest, with our model estimating 21 022 (prediction interval, 11 090–33 490) total infections in Wuhan between 1 and 22 January. We discuss our findings in the light of more recent information.This article is part of the theme issue ‘Modelling that shaped the early COVID-19 pandemic response in the UK’.
DOI: 10.25345/c58v44
title: MassIVE MSV000087301 - Non-canonical function of DGCR8 in DNA double-strand break repair signaling and tumor radioresistance
title: To identify DGCR8 phosphorylation and interaction proteins in IR treatment.
DOI: 10.6084/m9.figshare.14442818
title: Calculation results of NFs and Characterization factors

description: The calculation results mentioned in Normalization factor database for life cycle impact assessment in China are available in the Supplementary Material table. Characterization factors corresponding to 17 environmental impact categories are also compiled in the Supplementary Material table.
DOI: 10.6084/m9.figshare.14442818.v5
title: Calculation results of NFs and Characterization factors

description: The calculation results mentioned in Normalization factor database for life cycle impact assessment in China are available in the Supplementary Material table. Characterization factors corresponding to 17 environmental impact categories are also compiled in the Supplementary Material table.
DOI: 10.6084/m9.figshare.14442818.v4
title: Calculation results of NFs and Characterization factors

description: The calculation results mentioned in Normalization factor database for life cycle impact assessment in China are available in the Supplementary Material table. Characterization factors corresponding to 17 environmental impact categories are also compiled in the Supplementary Material table.
DOI: 10.5517/ccdc.csd.cc211pmf
title: CCDC 1878464: Experimental Crystal Structure Determination

description: Related Article: Debasish Das, Meenakshi Joshi, S. Kannan, Mukesh Kumar, Tapan K. Ghanty, A.S. Pente, Arijit Sengupta, C.P. Kaushik|2021|Polyhedron|201|115166|doi:10.1016/j.poly.2021.115166
DOI: 10.5517/ccdc.csd.cc211xnp
title: CCDC 1878682: Experimental Crystal Structure Determination

description: Related Article: Debasish Das, Meenakshi Joshi, S. Kannan, Mukesh Kumar, Tapan K. Ghanty, A.S. Pente, Arijit Sengupta, C.P. Kaushik|2021|Polyhedron|201|115166|doi:10.1016/j.poly.2021.115166
DOI: 10.5517/ccdc.csd.cc211yjl
title: CCDC 1878709: Experimental Crystal Structure Determination

description: Related Article: Debasish Das, Meenakshi Joshi, S. Kannan, Mukesh Kumar, Tapan K. Ghanty, A.S. Pente, Arijit Sengupta, C.P. Kaushik|2021|Polyhedron|201|115166|doi:10.1016/j.poly.2021.115166
DOI: 10.5517/ccdc.csd.cc2539qb
title: CCDC 1999181: Experimental Crystal Structure Determination

description: Related Article: Iain A. Wright, Andrew Danos, Stephanie Montanaro, Andrei S. Batsanov, Andrew P. Monkman, Martin R. Bryce|2021|Chem.-Eur.J.|27|6545|doi:10.1002/chem.202100036
DOI: 10.5517/ccdc.csd.cc2539rc
title: CCDC 1999182: Experimental Crystal Structure Determination

description: Related Article: Iain A. Wright, Andrew Danos, Stephanie Montanaro, Andrei S. Batsanov, Andrew P. Monkman, Martin R. Bryce|2021|Chem.-Eur.J.|27|6545|doi:10.1002/chem.202100036
DOI: 10.5517/ccdc.csd.cc2539sd
title: CCDC 1999183: Experimental Crystal Structure Determination

description: Related Article: Iain A. Wright, Andrew Danos, Stephanie Montanaro, Andrei S. Batsanov, Andrew P. Monkman, Martin R. Bryce|2021|Chem.-Eur.J.|27|6545|doi:10.1002/chem.202100036
DOI: 10.5517/ccdc.csd.cc2539tf
title: CCDC 1999184: Experimental Crystal Structure Determination

description: Related Article: Iain A. Wright, Andrew Danos, Stephanie Montanaro, Andrei S. Batsanov, Andrew P. Monkman, Martin R. Bryce|2021|Chem.-Eur.J.|27|6545|doi:10.1002/chem.202100036
DOI: 10.5517/ccdc.csd.cc2539vg
title: CCDC 1999185: Experimental Crystal Structure Determination

description: Related Article: Iain A. Wright, Andrew Danos, Stephanie Montanaro, Andrei S. Batsanov, Andrew P. Monkman, Martin R. Bryce|2021|Chem.-Eur.J.|27|6545|doi:10.1002/chem.202100036
DOI: 10.5517/ccdc.csd.cc25xmf5
title: CCDC 2023507: Experimental Crystal Structure Determination

description: Related Article: Xin Yuan, Yu-Sheng Cui, Xin-Peng Zhang, Long-Zhou Qin, Qi Sun, Xiu Duan, Lin Chen, Guigen Li, Jiang-Kai Qiu, Kai Guo|2021|Chem.-Eur.J.|27|6522|doi:10.1002/chem.202005368
DOI: 10.6084/m9.figshare.14481978.v1
title: R code file sourced by figures_main_paper.R from Novel coronavirus 2019-nCoV (COVID-19): early estimation of epidemiological parameters and epidemic size estimates

description: Since it was first identified, the epidemic scale of the recently emerged novel coronavirus (2019-nCoV) in Wuhan, China, has increased rapidly, with cases arising across China and other countries and regions. Using a transmission model, we estimate a basic reproductive number of 3.11 (95% CI, 2.39–4.13), indicating that 58–76% of transmissions must be prevented to stop increasing. We also estimate a case ascertainment rate in Wuhan of 5.0% (95% CI, 3.6–7.4). The true size of the epidemic may be significantly greater than the published case counts suggest, with our model estimating 21 022 (prediction interval, 11 090–33 490) total infections in Wuhan between 1 and 22 January. We discuss our findings in the light of more recent information.This article is part of the theme issue ‘Modelling that shaped the early COVID-19 pandemic response in the UK’.
DOI: 10.6084/m9.figshare.14482152
title: Psychological impact of COVID-19 on nurses in India

description: The data is from the study on psychological impact of COVID-19 on nurses in Kerala and Maharashtra states in India.
DOI: 10.6084/m9.figshare.14482152.v1
title: Psychological impact of COVID-19 on nurses in India

description: The data is from the study on psychological impact of COVID-19 on nurses in Kerala and Maharashtra states in India.
DOI: 10.6084/m9.figshare.13199756
title: Dataset for submitted article 'Spatial distribution of lamin A/C determines nuclear stiffness and stress-mediated deformation'

description: The excel files contain all the data necessary to reproduce the results in the article.
DOI: 10.6084/m9.figshare.13199756.v1
title: Dataset for submitted article 'Spatial distribution of lamin A/C determines nuclear stiffness and stress-mediated deformation'

description: The excel files contain all the data necessary to reproduce the results in the article.
DOI: 10.5517/ccdc.csd.cc2667rf
title: CCDC 2031794: Experimental Crystal Structure Determination

description: Related Article: Themmila Khamrang, Arunkumar Kathiravan, Chairman Ponraj, Dhandayutham Saravanan|2021|J.Mol.Struct.|1238|130442|doi:10.1016/j.molstruc.2021.130442
DOI: 10.5517/ccdc.csd.cc25zv34
title: CCDC 2025636: Experimental Crystal Structure Determination

description: Related Article: Jian-Jun Liu, Zhi-Ling Sun, Jiaming Liu, Shu-Biao Xia|2021|J.Mol.Struct.|1238|130444|doi:10.1016/j.molstruc.2021.130444
DOI: 10.5517/ccdc.csd.cc25zv45
title: CCDC 2025637: Experimental Crystal Structure Determination

description: Related Article: Jian-Jun Liu, Zhi-Ling Sun, Jiaming Liu, Shu-Biao Xia|2021|J.Mol.Struct.|1238|130444|doi:10.1016/j.molstruc.2021.130444
DOI: 10.5517/ccdc.csd.cc25zv56
title: CCDC 2025638: Experimental Crystal Structure Determination

description: Related Article: Jian-Jun Liu, Zhi-Ling Sun, Jiaming Liu, Shu-Biao Xia|2021|J.Mol.Struct.|1238|130444|doi:10.1016/j.molstruc.2021.130444
DOI: 10.5517/ccdc.csd.cc25zv67
title: CCDC 2025639: Experimental Crystal Structure Determination

description: Related Article: Jian-Jun Liu, Zhi-Ling Sun, Jiaming Liu, Shu-Biao Xia|2021|J.Mol.Struct.|1238|130444|doi:10.1016/j.molstruc.2021.130444
DOI: 10.5517/ccdc.csd.cc26bg23
title: CCDC 2035834: Experimental Crystal Structure Determination

description: Related Article: Robin F. Weitkamp, Beate Neumann, Hans-Georg Stammler, Berthold Hoge|2021|Chem.-Eur.J.|27|6465|doi:10.1002/chem.202005123
DOI: 10.5517/ccdc.csd.cc26bg34
title: CCDC 2035835: Experimental Crystal Structure Determination

description: Related Article: Robin F. Weitkamp, Beate Neumann, Hans-Georg Stammler, Berthold Hoge|2021|Chem.-Eur.J.|27|6465|doi:10.1002/chem.202005123
DOI: 10.5517/ccdc.csd.cc26bg45
title: CCDC 2035836: Experimental Crystal Structure Determination

description: Related Article: Robin F. Weitkamp, Beate Neumann, Hans-Georg Stammler, Berthold Hoge|2021|Chem.-Eur.J.|27|6465|doi:10.1002/chem.202005123
DOI: 10.5517/ccdc.csd.cc26bg56
title: CCDC 2035837: Experimental Crystal Structure Determination

description: Related Article: Robin F. Weitkamp, Beate Neumann, Hans-Georg Stammler, Berthold Hoge|2021|Chem.-Eur.J.|27|6465|doi:10.1002/chem.202005123
DOI: 10.5517/ccdc.csd.cc26bg67
title: CCDC 2035838: Experimental Crystal Structure Determination

description: Related Article: Robin F. Weitkamp, Beate Neumann, Hans-Georg Stammler, Berthold Hoge|2021|Chem.-Eur.J.|27|6465|doi:10.1002/chem.202005123
DOI: 10.5517/ccdc.csd.cc26ltrd
title: CCDC 2043884: Experimental Crystal Structure Determination

description: Related Article: Marina Pérez-Jiménez, Natalia Curado, Celia Maya, Jesús Campos, Eliseo Ruiz, Santiago Álvarez, Ernesto Carmona|2021|Chem.-Eur.J.|27|6569|doi:10.1002/chem.202004948
DOI: 10.5517/ccdc.csd.cc26ltsf
title: CCDC 2043885: Experimental Crystal Structure Determination

description: Related Article: Marina Pérez-Jiménez, Natalia Curado, Celia Maya, Jesús Campos, Eliseo Ruiz, Santiago Álvarez, Ernesto Carmona|2021|Chem.-Eur.J.|27|6569|doi:10.1002/chem.202004948
DOI: 10.5517/ccdc.csd.cc26lttg
title: CCDC 2043886: Experimental Crystal Structure Determination

description: Related Article: Marina Pérez-Jiménez, Natalia Curado, Celia Maya, Jesús Campos, Eliseo Ruiz, Santiago Álvarez, Ernesto Carmona|2021|Chem.-Eur.J.|27|6569|doi:10.1002/chem.202004948
DOI: 10.5517/ccdc.csd.cc26ltvh
title: CCDC 2043887: Experimental Crystal Structure Determination

description: Related Article: Marina Pérez-Jiménez, Natalia Curado, Celia Maya, Jesús Campos, Eliseo Ruiz, Santiago Álvarez, Ernesto Carmona|2021|Chem.-Eur.J.|27|6569|doi:10.1002/chem.202004948
DOI: 10.5517/ccdc.csd.cc26ltwj
title: CCDC 2043888: Experimental Crystal Structure Determination

description: Related Article: Marina Pérez-Jiménez, Natalia Curado, Celia Maya, Jesús Campos, Eliseo Ruiz, Santiago Álvarez, Ernesto Carmona|2021|Chem.-Eur.J.|27|6569|doi:10.1002/chem.202004948