cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.17959258
title: EEG raw dataset2

description: EEG raw dataset in brainvision format. Can be imported to EEGLAB. splitted into 7 subsets due to the limitation on upload size in figshare
DOI: 10.6084/m9.figshare.18094146
title: EEG raw dataset3

description: EEG raw dataset in brainvision format. Can be imported to EEGLAB. splitted into 7 subsets due to the limitation on upload size in figshare
DOI: 10.6084/m9.figshare.18094270
title: EEG raw dataset4

description: EEG raw dataset in brainvision format. Can be imported to EEGLAB. splitted into 7 subsets due to the limitation on upload size in figshare
DOI: 10.6084/m9.figshare.18131482
title: EEG raw dataset5

description: EEG raw dataset in brainvision format. Can be imported to EEGLAB. splitted into 7 subsets due to the limitation on upload size in figshare
DOI: 10.6084/m9.figshare.18133685
title: EEG raw dataset6

description: EEG raw dataset in brainvision format. Can be imported to EEGLAB. splitted into 7 subsets due to the limitation on upload size in figshare
DOI: 10.6084/m9.figshare.17783525
title: EEG preprocessed dataset

description: These are preprocessed EEG datasets and inputs of MVPA analysis.
DOI: 10.5519/qd.d6ksgru6
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (15 records)
DOI: 10.5281/zenodo.5837035
title: The Perovskite Database (Archive)

description: This dataset is a CSV snapshot of The Perovskite Database available at www.perovskitedatabase.com.
DOI: 10.5281/zenodo.5834698
title: The Perovskite Database (Archive)

description: This dataset is a CSV snapshot of The Perovskite Database available at www.perovskitedatabase.com.
DOI: 10.25934/pr00006166.0
title: Available IPD datapackage for study 'A 52-Week, Multi-Centre, Randomised, Parallel-Group, Double-Blind, Active Controlled, Phase IV Study to Evaluate the Safety and Efficacy of Dapagliflozin or Dapagliflozin Plus Saxagliptin Compared With Sulphonylurea All Given as Add-on Therapy to Metformin in Adult Patients With Type 2 Diabetes Who Have Inadequate Glycaemic Control on Metformin Monotherapy'

description: This study is being carried out to see if dapagliflozin and dapagliflozin plus saxagliptin as an addition to metformin is effective and safe in treating patients with type 2 diabetes when compared to glimepiride (sulphonylurea) as an addition to metformin treatment.
DOI: 10.25505/fiz.icsd.cc20qhqz
title: CSD 1868671: Experimental Crystal Structure Determination

description: Related Article: Laura Martel,  Elisa Capelli,  Monique Body,  Marco Klipfel,  Ondrej Beneš,  Louis Maksoud,  Phillipe E. Raison,  Emmanuelle Suard,  Lucas Visscher,  Catherine Bessada,  Christophe Legein,  Thibault Charpentier,  Attila Kovács|2018|Inorg.Chem.|57|15350|doi:10.1021/acs.inorgchem.8b02683
DOI: 10.25505/fiz.icsd.cc20qrs9
title: CSD 1868921: Experimental Crystal Structure Determination

description: Related Article: Xiaoyu Luo, Zhuang Li, Fei Liang, Yangwu Guo, Yicheng Wu, Zheshuai Lin, Jiyong Yao|2019|Inorg.Chem.|58|7118|doi:10.1021/acs.inorgchem.9b00967
DOI: 10.25505/fiz.icsd.cc20qrvc
title: CSD 1868923: Experimental Crystal Structure Determination

description: Related Article: Xiaoyu Luo, Zhuang Li, Fei Liang, Yangwu Guo, Yicheng Wu, Zheshuai Lin, Jiyong Yao|2019|Inorg.Chem.|58|7118|doi:10.1021/acs.inorgchem.9b00967
DOI: 10.25505/fiz.icsd.cc20r4yw
title: CSD 1869298: Experimental Crystal Structure Determination

description: Related Article: K. Schwendtner, U. Kolitsch|2018|Acta Crystallogr.,Sect.E:Cryst.Commun.|74|1504|doi:10.1107/S2056989018013567
DOI: 10.25505/fiz.icsd.cc20r4zx
title: CSD 1869299: Experimental Crystal Structure Determination

description: Related Article: K. Schwendtner, U. Kolitsch|2018|Acta Crystallogr.,Sect.E:Cryst.Commun.|74|1504|doi:10.1107/S2056989018013567
DOI: 10.5517/ccdc.csd.cc20rnl1
title: CCDC 1869783: Experimental Crystal Structure Determination

description: Related Article: S. Vasylevskyi, A. Holzheu, K.M. Fromm|2018|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|74|1413|doi:10.1107/S2053229618013670
DOI: 10.5517/ccdc.csd.cc1zwqzk
title: CCDC 1843910: Experimental Crystal Structure Determination

description: Related Article: M.S.H. Faizi, M.N. Lone, N. Dege, S. Malinkin, T.Y. Sliva|2018|Acta Crystallogr.,Sect.E:Cryst.Commun.|74|1540|doi:10.1107/S2056989018013713
DOI: 10.25505/fiz.icsd.cc20szxq
title: CSD 1871064: Experimental Crystal Structure Determination

description: Related Article: Yoshiyuki Inaguma, Akihisa Aimi, Daisuke Mori, Tetsuhiro Katsumata, Masanari Ohtake, Masanobu Nakayama, Masao Yonemura|2018|Inorg.Chem.|57|15462|doi:10.1021/acs.inorgchem.8b02767
DOI: 10.25505/fiz.icsd.cc20szyr
title: CSD 1871065: Experimental Crystal Structure Determination

description: Related Article: Yoshiyuki Inaguma, Akihisa Aimi, Daisuke Mori, Tetsuhiro Katsumata, Masanari Ohtake, Masanobu Nakayama, Masao Yonemura|2018|Inorg.Chem.|57|15462|doi:10.1021/acs.inorgchem.8b02767
DOI: 10.25505/fiz.icsd.cc20tswj
title: CSD 1871838: Experimental Crystal Structure Determination

description: Related Article: Manila Sharma, Aymen Yangui, Vincent R. Whiteside, Ian R. Sellers, Dan Han, Shiyou Chen, Mao-Hua Du, Bayrammurad Saparov|2019|Inorg.Chem.|58|4446|doi:10.1021/acs.inorgchem.8b03623
DOI: 10.5517/ccdc.csd.cc20v6z2
title: CCDC 1872244: Experimental Crystal Structure Determination

description: Related Article: M.S.H. Faizi, M.N. Lone, N. Dege, S. Malinkin, T.Y. Sliva|2018|Acta Crystallogr.,Sect.E:Cryst.Commun.|74|1540|doi:10.1107/S2056989018013713
description: Related Article: G. Sun, W. Xie, H. Xiao, G. Xu|2018|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|74|1540|doi:10.1107/S2053229618014262
DOI: 10.5517/ccdc.csd.cc20v704
title: CCDC 1872245: Experimental Crystal Structure Determination

description: Related Article: M.S.H. Faizi, M.N. Lone, N. Dege, S. Malinkin, T.Y. Sliva|2018|Acta Crystallogr.,Sect.E:Cryst.Commun.|74|1540|doi:10.1107/S2056989018013713
description: Related Article: G. Sun, W. Xie, H. Xiao, G. Xu|2018|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|74|1540|doi:10.1107/S2053229618014262
DOI: 10.5281/zenodo.5837125
title: Evaluation Dataset: SemOI2 – Building Adaptive And Cost-Effective Recognition Applications With Semantic Augmentation

description: Evaluation dataset for the paper "SemOI2 – Building Adaptive And Cost-Effective Recognition Applications With Semantic Augmentation", presented at the AAAI-Make conference 2022, to be published in: <em>A. Martin, K. Hinkelmann, H.-G. Fill, A. Gerber, D. Lenat, R. Stolle, F. van Harmelen (Eds.), Proceedings of the AAAI 2022 Spring Symposium on Machine Learning and Knowledge Engineering for Hybrid Intelligence (AAAI-MAKE 2022), Stanford University, Palo Alto, California, USA, March 21–23, 2022.</em>
DOI: 10.5281/zenodo.5837124
title: Evaluation Dataset: SemOI2 – Building Adaptive And Cost-Effective Recognition Applications With Semantic Augmentation

description: Evaluation dataset for the paper "SemOI2 – Building Adaptive And Cost-Effective Recognition Applications With Semantic Augmentation", presented at the AAAI-Make conference 2022, to be published in: <em>A. Martin, K. Hinkelmann, H.-G. Fill, A. Gerber, D. Lenat, R. Stolle, F. van Harmelen (Eds.), Proceedings of the AAAI 2022 Spring Symposium on Machine Learning and Knowledge Engineering for Hybrid Intelligence (AAAI-MAKE 2022), Stanford University, Palo Alto, California, USA, March 21–23, 2022.</em>
DOI: 10.26050/wdcc/klimaausblicke_landkr
title: GERICS Klimaausblicke für deutsche Landkreise (Version 1.0)

description: Project: GERICS-Klimaausblicke für Landkreise - Das GERICS hat für alle 401 deutschen Landkreise, Kreise, Regionalkreise und kreisfreien Städte einen Klimaausblick veröffentlicht. https://www.gerics.de/products_and_publications/fact_sheets/landkreise/index.php.de Der Klimawandel ist in vollem Gange. In den letzten Jahren hat die globale Erwärmung die 1°C-Marke überschritten. Auch in Deutschland sind die Auswirkungen mehr und mehr spürbar. Was aber bedeutet der Klimawandel auf regionaler Ebene? Welche Veränderungen werden derzeit beobachtet und was sagen die Zukunftsszenarien bis zum Ende des 21. Jahrhunderts? GERICS has published a climate report for each of the 401 German districts. https://www.gerics.de/products_and_publications/fact_sheets/landkreise/index.php.de Each report summarizes a selection of climate indices like temperature, hot days, dry days or days with heavy precipitation on a few pages. The results show the future development of these indices in the 21st century for three scenarios with strong, medium and weak climate protection, respectively. The data originates from 85 EURO-CORDEX simulations with regional climate models, and the HYRAS dataset of the German Weather Service. Summary: Das GERICS hat für alle 401 deutschen Landkreise, Kreise, Regionalkreise und kreisfreien Städte einen Klimaausblick veröffentlicht. https://www.gerics.de/products_and_publications/fact_sheets/landkreise/index.php.de Jeder Bericht fasst die Ergebnisse für Klimakenngrößen wie z.B. Temperatur, Hitzetage, Trockentage oder Starkregentage auf wenigen Seiten zusammen. Die Ergebnisse zeigen die projizierten Entwicklungen der Klimakenngrößen im Verlauf des 21. Jahrhunderts für ein Szenario mit viel Klimaschutz, ein Szenario mit mäßigem Klimaschutz und ein Szenario ohne wirksamen Klimaschutz. Datengrundlage sind 85 EURO-CORDEX-Simulationen, sowie der HYRAS-Datensatz des Deutschen Wetterdienstes. GERICS has published a climate report for each of the 401 German districts. https://www.gerics.de/products_and_publications/fact_sheets/landkreise/index.php.de Each report summarizes a selection of climate indices like temperature, hot days, dry days or days with heavy precipitation on a few pages. The results show the future development of these indices in the 21st century for three scenarios with strong, medium and weak climate protection, respectively. The data originates from 85 EURO-CORDEX simulations with regional climate models, and the HYRAS dataset of the German Weather Service.
DOI: 10.5281/zenodo.5837375
title: Fagus_sylvatica

description: Fagus_sylvatica occurence data
DOI: 10.5281/zenodo.5837374
title: Fagus_sylvatica

description: Fagus_sylvatica occurence data
DOI: 10.5281/zenodo.5821640
title: Detection of neurofilament light chain with label-free electrolyte-gated organic field-effect transistors

description: The uploaded data include i) transfer curves registered at every NF-L concentration; ii) transfer curves for control experiments; iii) raw AFM data acquired after electrode incubation in 0 M, 1 pM, 100 pM and 10 nM [NF-L]. Electrical measurements were acquired in 50 mM PBS, pH 7.4 under static conditions. Anti-NF-L antibodies were immobilized on the gate electrode through cys-Protein G. The gate surface has been subsequently passivated through 11-mercaptoundecyl-triethylene glycol SAM.
DOI: 10.5281/zenodo.5821639
title: Detection of neurofilament light chain with label-free electrolyte-gated organic field-effect transistors

description: The uploaded data include i) transfer curves registered at every NF-L concentration; ii) transfer curves for control experiments; iii) raw AFM data acquired after electrode incubation in 0 M, 1 pM, 100 pM and 10 nM [NF-L]. Electrical measurements were acquired in 50 mM PBS, pH 7.4 under static conditions. Anti-NF-L antibodies were immobilized on the gate electrode through cys-Protein G. The gate surface has been subsequently passivated through 11-mercaptoundecyl-triethylene glycol SAM.
DOI: 10.5281/zenodo.5837371
title: A calcium-based plasticity model predicts long-term potentiation and depression in the neocortex

description: This dataset contains all (&gt;1000) cell pairs as the Blue Brain Projects EModelRunner packages as well as analysis code and analysed data used for the figures of our preprint: <em><strong>"A calcium-based plasticity model predicts long-term potentiation and depression in the neocortex"</strong></em>. More documentation will follow in the upcoming days. <strong>Updates:</strong><br> v1.1 (31/12/2021): updated READMEs within cell_packages, added 2 extra authors for their contribution in EModelRunner.<br> v1.2 (31/12/2021): same as v1.1 but w/o MacOS junk<br> v1.3 (11/01/2022): added analysis notebooks
description: This study was supported by funding to the Blue Brain Project, a research center of the École polytechnique fédérale de Lausanne, from the Swiss government's ETH Board of the Swiss Federal Institutes of Technology. E.B.M. received additional support from the CHU Sainte-Justine Research Center (CHUSJRC), the Institute for Data Valorization (IVADO), the Canada CIFAR AI Chairs Program, the Quebec Institute for Artificial Intelligence (Mila) and Google. R.B.P. and J.DF. received support from the Spanish "Ministerio de Ciencia e Innovación" (grant PGC2018-094307-B-I00).
DOI: 10.48370/ofd/4tdjpg
title: Rosenscheldia abundans (Dobrozr.) Petr., 4368

description: Fungarium Mikromycetes
DOI: 10.5281/zenodo.5837416
title: Ilex_aquifolium

description: Ilex_aquifolium occurence points
DOI: 10.5281/zenodo.5837415
title: Ilex_aquifolium

description: Ilex_aquifolium occurence points
DOI: 10.5281/zenodo.5837438
title: A calcium-based plasticity model predicts long-term potentiation and depression in the neocortex

description: This dataset contains all (&gt;1000) cell pairs as the Blue Brain Projects EModelRunner packages as well as analysis code and analysed data used for the figures of our preprint: <em><strong>"A calcium-based plasticity model predicts long-term potentiation and depression in the neocortex"</strong></em>. More documentation will follow in the upcoming days. <strong>Updates:</strong><br> v1.1 (31/12/2021): updated READMEs within cell_packages, added 2 extra authors for their contribution in EModelRunner.<br> v1.2 (31/12/2021): same as v1.1 but w/o MacOS junk<br> v1.3 (11/01/2022): added analysis notebooks<br> v2.0 (11/01/2022): same as v1.3 but w/o MacOS junk and proper version number
description: This study was supported by funding to the Blue Brain Project, a research center of the École polytechnique fédérale de Lausanne, from the Swiss government's ETH Board of the Swiss Federal Institutes of Technology. E.B.M. received additional support from the CHU Sainte-Justine Research Center (CHUSJRC), the Institute for Data Valorization (IVADO), the Canada CIFAR AI Chairs Program, the Quebec Institute for Artificial Intelligence (Mila) and Google. R.B.P. and J.DF. received support from the Spanish "Ministerio de Ciencia e Innovación" (grant PGC2018-094307-B-I00).
DOI: 10.5281/zenodo.5837419
title: The Private and External Costs of Germany's Nuclear Phase-out, Replication Dataset

description: Replication files for "The Private and External Costs of Germany's Nuclear Phase-out", published in the <em>Journal of the European Economic Association.</em>
DOI: 10.5281/zenodo.5837418
title: The Private and External Costs of Germany's Nuclear Phase-out, Replication Dataset

description: Replication files for "The Private and External Costs of Germany's Nuclear Phase-out", published in the <em>Journal of the European Economic Association.</em>
DOI: 10.5281/zenodo.5837469
title: Amazon Rainforest Resilience Data

description: Dataset and code to accompany 'Pronounced loss of Amazon rainforest resilience since the early 2000s'.
DOI: 10.5281/zenodo.5837468
title: Amazon Rainforest Resilience Data

description: Dataset and code to accompany 'Pronounced loss of Amazon rainforest resilience since the early 2000s'.
DOI: 10.5281/zenodo.5820885
title: Neglected very-long-chain hydrocarbons and the incorporation of body surface areas reveal novel perspectives for chemical profile analysis in insects

description: Most of what we know about insect cuticular hydrocarbons (CHCs) has been informed by analyses with gas-chromatography coupled with mass spectrometry (GC-MS). However, this analysis technique has its limit, particularly in detecting compounds in a chain length range beyond around C40. Here, we attempt to differentiate the range of CHCs detectable by GC-MS with the largely neglected very-long-chain CHC range up to C58 analyzed by silver-assisted laser desorption/ionization mass spectrometry (Ag-LDI-MS), in seven species of the order Blattodea. For all tested species we unveiled a considerable range of very-long-chain CHCs not detectable by traditional GC-MS technology. This strongly suggests that general studies on insect CHCs routinely miss compounds in that range, and we encourage future studies to implement technologies capable of detecting very-long-chain CHCs. Furthermore, we implement 3D scanned insect body surface areas when quantifying CHC amounts per GC-MS, as Ag-LDI-MS is less suited to quantify total CHC contents. Proportional CHC distributions differed considerably when adjusted for body surface areas, suggesting the importance of their consideration. Moreover, correlations between body surface areas and GC-MS assessed CHC amounts were not significant, further hinting the inaccessibility of whole CHC profile ranges by this technique, potentially by missing the clearly present very-long-chain CHCs.
DOI: 10.5281/zenodo.5703267
title: Neglected very-long-chain hydrocarbons and the incorporation of body surface areas reveal novel perspectives for chemical profile analysis in insects

description: Most of what we know about insect cuticular hydrocarbons (CHCs) has been informed by analyses with gas-chromatography coupled with mass spectrometry (GC-MS). However, this analysis technique has its limit, particularly in detecting compounds in a chain length range beyond around C40. Here, we attempt to differentiate the range of CHCs detectable by GC-MS with the largely neglected very-long-chain CHC range up to C58 analyzed by silver-assisted laser desorption/ionization mass spectrometry (Ag-LDI-MS), in seven species of the order Blattodea. For all tested species we unveiled a considerable range of very-long-chain CHCs not detectable by traditional GC-MS technology. This strongly suggests that general studies on insect CHCs routinely miss compounds in that range, and we encourage future studies to implement technologies capable of detecting very-long-chain CHCs. Furthermore, we implement 3D scanned insect body surface areas when quantifying CHC amounts per GC-MS, as Ag-LDI-MS is less suited to quantify total CHC contents. Proportional CHC distributions differed considerably when adjusted for body surface areas, suggesting the importance of their consideration. Moreover, correlations between body surface areas and GC-MS assessed CHC amounts were not significant, further hinting the inaccessibility of whole CHC profile ranges by this technique, potentially by missing the clearly present very-long-chain CHCs.
DOI: 10.5519/qd.9ye8b2eq
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (3 records)
DOI: 10.5519/qd.p7sp0kg3
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (9 records)
DOI: 10.6084/m9.figshare.18135077
title: Surface wave-driven Ekman-Stokes Eulerian current - Global 24 hour - Mellor-Yamada 2.5 viscosity model

description: Global 24 hour dataset for the unsteady wave-driven Ekman-Stokes Eulerian current from 2002/01/01 to 2014/12/31 modelled using Mellor-Yamada 2.5 viscosity model. Further details and implementation can be found in Cunningam et al. 2022 (submitted)
DOI: 10.6084/m9.figshare.18135077.v1
title: Surface wave-driven Ekman-Stokes Eulerian current - Global 24 hour - Mellor-Yamada 2.5 viscosity model

description: Global 24 hour dataset for the unsteady wave-driven Ekman-Stokes Eulerian current from 2002/01/01 to 2014/12/31 modelled using Mellor-Yamada 2.5 viscosity model. Further details and implementation can be found in Cunningam et al. 2022 (submitted)
DOI: 10.6084/m9.figshare.18134687.v1
title: Surface wave-driven Ekman-Stokes Eulerian current - Global 24 hour - Constant viscosity

description: Global 24 hour dataset for the unsteady wave-driven Ekman-Stokes Eulerian current from 2002/01/01 to 2014/12/31 modelled using constant viscosity. Further details and implementation can be found in Cunningam et al. 2022 (submitted)
DOI: 10.6084/m9.figshare.18134687
title: Surface wave-driven Ekman-Stokes Eulerian current - Global 24 hour - Constant viscosity

description: Global 24 hour dataset for the unsteady wave-driven Ekman-Stokes Eulerian current from 2002/01/01 to 2014/12/31 modelled using constant viscosity. Further details and implementation can be found in Cunningam et al. 2022 (submitted)
DOI: 10.5517/ccdc.csd.cc20vjw9
title: CCDC 1872551: Experimental Crystal Structure Determination

description: Related Article: Y. Hijji, E. Benjamin, J.P. Jasinski, R.J. Butcher|2018|Acta Crystallogr.,Sect.E:Cryst.Commun.|74|1595|doi:10.1107/S2056989018014317
DOI: 10.5517/ccdc.csd.cc20vlfx
title: CSD 1872599: Experimental Crystal Structure Determination

description: Related Article: Shu Guo, Tai Kong, Weiwei Xie, Loi Nguyen, Karoline Stolze, F. Alex Cevallos, R. J. Cava|2019|Inorg.Chem.|58|3308|doi:10.1021/acs.inorgchem.8b03372
DOI: 10.25505/fiz.icsd.cc20vng0
title: CSD 1872662: Experimental Crystal Structure Determination

description: Related Article: A. Ovchinnikov, H. He, S. Bobev|2018|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|74|1715|doi:10.1107/S2053229618014341
DOI: 10.25505/fiz.icsd.cc20vncx
title: CSD 1872659: Experimental Crystal Structure Determination

description: Related Article: Y. Hijji, E. Benjamin, J.P. Jasinski, R.J. Butcher|2018|Acta Crystallogr.,Sect.E:Cryst.Commun.|74|1595|doi:10.1107/S2056989018014317
description: Related Article: M. Ahmadzadeh, T.A. Olds, A. Scrimshire, P.A. Bingham, J.S. McCloy|2018|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|74|1595|doi:10.1107/S2053229618014353
DOI: 10.25505/fiz.icsd.cc20w95d
title: CSD 1873273: Experimental Crystal Structure Determination

description: Related Article: Robert Schmidt, Markus Ströbele, Carl P. Romao, David Enseling, Thomas Jüstel, Hans-Jürgen Meyer|2019|Dalton Trans.|48|14069|doi:10.1039/C9DT02564B
DOI: 10.25505/fiz.icsd.cc20w9t1
title: CSD 1873293: Experimental Crystal Structure Determination

description: Related Article: Frank Stegemann, Theresa Block, Steffen Klenner, Yuemei Zhang, Boniface P. T. Fokwa, Alexander Timmer, Harry Mönig, Carsten Doerenkamp, Hellmut Eckert, Oliver Janka|2019|Chem.-Eur.J.|25|10735|doi:10.1002/chem.201901867
DOI: 10.25505/fiz.icsd.cc20w9v2
title: CSD 1873294: Experimental Crystal Structure Determination

description: Related Article: Frank Stegemann, Theresa Block, Steffen Klenner, Yuemei Zhang, Boniface P. T. Fokwa, Alexander Timmer, Harry Mönig, Carsten Doerenkamp, Hellmut Eckert, Oliver Janka|2019|Chem.-Eur.J.|25|10735|doi:10.1002/chem.201901867
DOI: 10.25505/fiz.icsd.cc20w9w3
title: CSD 1873295: Experimental Crystal Structure Determination

description: Related Article: Frank Stegemann, Theresa Block, Steffen Klenner, Yuemei Zhang, Boniface P. T. Fokwa, Alexander Timmer, Harry Mönig, Carsten Doerenkamp, Hellmut Eckert, Oliver Janka|2019|Chem.-Eur.J.|25|10735|doi:10.1002/chem.201901867
DOI: 10.25505/fiz.icsd.cc20w9x4
title: CSD 1873296: Experimental Crystal Structure Determination

description: Related Article: Frank Stegemann, Theresa Block, Steffen Klenner, Yuemei Zhang, Boniface P. T. Fokwa, Alexander Timmer, Harry Mönig, Carsten Doerenkamp, Hellmut Eckert, Oliver Janka|2019|Chem.-Eur.J.|25|10735|doi:10.1002/chem.201901867
DOI: 10.5517/ccdc.csd.cc20wqwj
title: CCDC 1873698: Experimental Crystal Structure Determination

description: Related Article: Xue-Mei Wang, Yi-Wen Liu, Qiao-E. Wang, Zhu Zhou, Chang-Mei Si, Bang-Guo Wei|2019|Tetrahedron|75|260|doi:10.1016/j.tet.2018.11.053
DOI: 10.5517/ccdc.csd.cc20wqxk
title: CCDC 1873699: Experimental Crystal Structure Determination

description: Related Article: Xue-Mei Wang, Yi-Wen Liu, Qiao-E. Wang, Zhu Zhou, Chang-Mei Si, Bang-Guo Wei|2019|Tetrahedron|75|260|doi:10.1016/j.tet.2018.11.053
DOI: 10.25505/fiz.icsd.cc20ww1v
title: CSD 1873827: Experimental Crystal Structure Determination

description: Related Article: T.S. Spiridonova, S.F. Solodovnikov, A.A. Savina, Y.M. Kadyrova, Z.A. Solodovnikova, V.N. Yudin, S.Y. Stefanovich, E.G. Khaikina|2018|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|74|1603|doi:10.1107/S2053229618014717