cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.16915672.v1
title: LGS Dataset

description: Lignin Structure(LGS) Dataset enumerates lignin chains for degree of polymerization ranging 3 to 25 following published monomer coupling feasibility rules. The dataset includes two types of lignin library with 60K polymer structures of milled wood lignin.G type lignin structures which represent spruce MWL structures with 5.7K polymersSG type lignin structures which represent birch MWL structures with 56.3K polymers
DOI: 10.17632/3r8twnn824.1
title: Analysis Of Memory B Cells Identifies Conserved Neutralizing Epitopes On The N-Terminal Domain Of Variant SARS-Cov-2 Spike Proteins

description: Antibody sequences for all patients
DOI: 10.5281/zenodo.6379879
title: Open data repository, An et al., Deep learning-based automated lesion segmentation on mouse stroke magnetic resonance images

description: Open data repository of journal article "Deep learning-based automated lesion segmentation on mouse stroke magnetic resonance images" by Jeehye An <em>et al. </em>At time of publication of this dataset, the manuscript is still under revision. This dataset contains mouse T2 weighted MRI data, and manually and automated segmented ischemic stroke lesion masks for developing and evaluating a deep learning-based automated lesion segmentation. All files are in NIFTI format.<br>
DOI: 10.5281/zenodo.6379878
title: Open data repository, An et al., Deep learning-based automated lesion segmentation on mouse stroke magnetic resonance images

description: Open data repository of journal article "Deep learning-based automated lesion segmentation on mouse stroke magnetic resonance images" by Jeehye An <em>et al. </em>At time of publication of this dataset, the manuscript is still under revision. This dataset contains mouse T2 weighted MRI data, and manually and automated segmented ischemic stroke lesion masks for developing and evaluating a deep learning-based automated lesion segmentation. All files are in NIFTI format.<br>
DOI: 10.5281/zenodo.6383426
title: Magnetic and stable isotope data from PLG Core

description: The Poggio le Guaine core was designed to provide a high-resolution age model and a high-resolution relative magnetic paleointensity reference curve for the Aptian-Albian interval of the long normal Cretaceous superchron. The PLG drill hole cored the uppermost Barremian-lowermost Cenomanian succession of the Umbria-Marche Basin deposited in the southern margin of the central-western Tethys Ocean. These pelagic sediments formed following the lithification of the nannofossil-planktonic foraminiferal ooze deposited well above the calcite compensation depth at middle to lower bathyal depths (1000-1500 m) and at ~20°N paleolatitude. The Poggio le Guaine drill site (lat. 43°32'42.72"N; long.12°32'40.92"E) is located on the Monte Nerone ridge at 888 m abovensea level, 6 km west of the town of Cagli (Regione Marche, Italy). Discrete ~8 cm<sup>3</sup> cubic samples were then cut from the center of the split working halve for paleomagnetic analyses (MS and ARM). A total amount of 1227 cubic samples were collected along the studied portion of the PLG core (from 96.02 to 60.00 m; average sampling resolution of ~3 cm). A total of 355 paleomagnetic cubic samples were also used to measure the stable isotopes (δ<sup>18</sup>O and δ<sup>13</sup>C) with a ~10 cm resolution. Our objectives with these data are: (i) to propose a cyclostratigraphic framework for the PLG section using high-resolution magnetic susceptibility (MS), anhysteretic remanent magnetisation (ARM), δ<sup>18</sup>O, and δ<sup>13</sup>C data to provide better constraints for the Aptian climato-chronostratigraphic framework; and (ii) to discuss the impact of the proposed framework on the main events of the Aptian and the Cretaceous time scale.
description: {"references": ["Coccioni, R. et al. (2012). Umbria-Marche Basin, Central Italy: A Reference Section for the Aptian-Albian Interval at Low Latitudes. Sci. Drill. 13, 42\u201346."]}
DOI: 10.5281/zenodo.6383425
title: Magnetic and stable isotope data from PLG Core

description: The Poggio le Guaine core was designed to provide a high-resolution age model and a high-resolution relative magnetic paleointensity reference curve for the Aptian-Albian interval of the long normal Cretaceous superchron. The PLG drill hole cored the uppermost Barremian-lowermost Cenomanian succession of the Umbria-Marche Basin deposited in the southern margin of the central-western Tethys Ocean. These pelagic sediments formed following the lithification of the nannofossil-planktonic foraminiferal ooze deposited well above the calcite compensation depth at middle to lower bathyal depths (1000-1500 m) and at ~20°N paleolatitude. The Poggio le Guaine drill site (lat. 43°32'42.72"N; long.12°32'40.92"E) is located on the Monte Nerone ridge at 888 m abovensea level, 6 km west of the town of Cagli (Regione Marche, Italy). Discrete ~8 cm<sup>3</sup> cubic samples were then cut from the center of the split working halve for paleomagnetic analyses (MS and ARM). A total amount of 1227 cubic samples were collected along the studied portion of the PLG core (from 96.02 to 60.00 m; average sampling resolution of ~3 cm). A total of 355 paleomagnetic cubic samples were also used to measure the stable isotopes (δ<sup>18</sup>O and δ<sup>13</sup>C) with a ~10 cm resolution. Our objectives with these data are: (i) to propose a cyclostratigraphic framework for the PLG section using high-resolution magnetic susceptibility (MS), anhysteretic remanent magnetisation (ARM), δ<sup>18</sup>O, and δ<sup>13</sup>C data to provide better constraints for the Aptian climato-chronostratigraphic framework; and (ii) to discuss the impact of the proposed framework on the main events of the Aptian and the Cretaceous time scale.
description: {"references": ["Coccioni, R. et al. (2012). Umbria-Marche Basin, Central Italy: A Reference Section for the Aptian-Albian Interval at Low Latitudes. Sci. Drill. 13, 42\u201346."]}
DOI: 10.34740/kaggle/dsv/3359641
title: BBC News
DOI: 10.34740/kaggle/dsv/3359666
title: Russian Invasion of Ukraine
DOI: 10.17632/fdmtm3pp5f.1
title: EGFR-induced Phosphorylation and Subcellular Translocation of PDHE1α Promotes Tumor Immune Evasion

description: Original imaging data for "EGFR-induced Phosphorylation and Subcellular Translocation of PDHE1α Promotes Tumor Immune Evasion".
DOI: 10.17632/z9n76fgpnm.1
title: Data for: The effect of sample storage, rearing time, and sunlight, on calcein mark retention in Lake trout.

description: Luminosity scores of the lake trout in experiment 1
DOI: 10.17632/j3fhn7p9kx.1
title: Data for: Changes in cassava growth with fertiliser application under different water stress conditions

description: The data consists of a few growth characteristics taken from cassava grown in pots, in a screen-house. The data was collected from a study that looked at how nitrogen (N), phosphorous (P) and potassium (K) fertiliser application influenced cassava growth on nutrient poor soils, under different water stress conditions. Two cassava varieties commonly grown in Mtwara region, in Tanzania, were used. One of the varieties was an improved cassava variety called Kiroba and the other was a local cassava variety called Salanga. The cassava varieties were subjected to three water stress treatments. This was accomplished by leaving some plants severely water stressed at 30% field capacity (FC), others mildly water stressed at 60% FC and the rest zero stressed at 100% FC. All plants were kept well-watered to 100% FC up to 70 DAP; the water stress treatments were only begun at 71 DAP and were continued for 20 days, until 90 DAP. The cassava varieties were also subjected to four fertiliser treatments, which consisted of a control (no fertiliser), a sole K fertiliser treatment (25 mg K/kg), a moderate N, P and K fertiliser treatment (25 mg N + 5 mg P + 25 mg K /kg) and a high N, P and K fertiliser treatment (50 mg N + 13 mg P + 50 mg K /kg). The growth characteristics collected included the dry shoot mass of cassava plants, the widths and lengths of the central lobes of cassava leaves and the number of new leaves formed on each plant during the water stress period.
DOI: 10.17632/4vnfng4w4b.1
title: Cryo-EM structures of the human GATOR1-Rag-Ragulator complex reveal a spatial-constraint regulated GAP mechanism. Egri et al.

description: Raw gel images, PDB, and EMDB data for "Cryo-EM structures of the human GATOR1-Rag-Ragulator complex reveal a spatial-constraint regulated GAP mechanism", Egri et al.
DOI: 10.6084/m9.figshare.19424393
title: Do Small Code Changes Merge Faster? A Multi-Language Empirical Investigation

description: Dataset for https://arxiv.org/abs/2203.05045.
DOI: 10.5519/qd.74ocg9nb
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (42 records)
DOI: 10.34740/kaggle/ds/2021248
title: Pupillometric data
DOI: 10.5281/zenodo.4931688
title: Coordination of two opposite flagella allows high-speed swimming and active turning of individual zoospores

description: This contains the datasets of zoospores swimming in water at global scale and during a turning event. We also include the Matlab files for computing the data of global scale data and the simulation for zoospore spreading.
DOI: 10.5281/zenodo.6383294
title: Evolution of secondary volcanic atmospheres 1 results

description: Data used to produced figures in the publication Liggins et al., (2022) 'Growth and evolution of secondary volcanic atmospheres: I. Identifying the geological character of warm rocky planets.'
description: Data for Figure 7 shows the time since onset of degassing, and the composition of the atmosphere at the point where either H2 or CO2 has a greater abundance than H2O according to the file name. In The H2 file, if the age shows than 12 Gyr H2 may not yet be the most abundant species, but this is the closest datapoint to the H2-H2O transition and is helpful for plotting the contours of Fig 7. Funded by the Embiricos scholarship of Jesus College, Cambridge.
DOI: 10.5281/zenodo.5638739
title: Evolution of secondary volcanic atmospheres 1 results

description: Data used to produced figures in the publication Liggins et al., (2022) 'Growth and evolution of secondary volcanic atmospheres: I. Identifying the geological character of warm rocky planets.'
description: Data for Figure 7 shows the time since onset of degassing, and the composition of the atmosphere at the point where either H2 or CO2 has a greater abundance than H2O according to the file name. In The H2 file, if the age shows than 12 Gyr H2 may not yet be the most abundant species, but this is the closest datapoint to the H2-H2O transition and is helpful for plotting the contours of Fig 7. Funded by the Embiricos scholarship of Jesus College, Cambridge.
DOI: 10.25493/js85-vqd
title: Density measurements of different receptors for Area ifj1 (IFS,PreCS) [human] (v1)

description: This dataset contains the densities (in fmol/mg protein) of receptors for classical neurotransmitters in Area ifj1 (IFS,PreCS) obtained by means of quantitative in vitro autoradiography. The receptor densities are visualized as fingerprints (fp), which provide the mean density and standard deviation for each of the analyzed receptor types, averaged across samples. For exemplary samples, we also provide color-coded laminar autoradiography images (ar). The autoradiography images show an exemplary density distribution of a single receptor for one laminar cross-section in a single tissue sample. Information on the used tissue samples and corresponding subjects for the receptor fingerprints and autoradiographs as well as a list of analyzed receptors accompanies the provided dataset.
DOI: 10.25493/z5jn-j28
title: Density measurements of different receptors for Area ifs3 (IFS) [human] (v1)

description: This dataset contains the densities (in fmol/mg protein) of receptors for classical neurotransmitters in Area ifs3 (IFS) obtained by means of quantitative in vitro autoradiography. The receptor densities are visualized as fingerprints (fp), which provide the mean density and standard deviation for each of the analyzed receptor types, averaged across samples. For exemplary samples, we also provide color-coded laminar autoradiography images (ar). The autoradiography images show an exemplary density distribution of a single receptor for one laminar cross-section in a single tissue sample. Information on the used tissue samples and corresponding subjects for the receptor fingerprints and autoradiographs as well as a list of analyzed receptors accompanies the provided dataset.
DOI: 10.25493/shg2-7rs
title: Density measurements of different receptors for Area ifs1 (IFS) [human] (v1)

description: This dataset contains the densities (in fmol/mg protein) of receptors for classical neurotransmitters in Area ifs1 (IFS) obtained by means of quantitative in vitro autoradiography. The receptor densities are visualized as fingerprints (fp), which provide the mean density and standard deviation for each of the analyzed receptor types, averaged across samples. For exemplary samples, we also provide color-coded laminar autoradiography images (ar). The autoradiography images show an exemplary density distribution of a single receptor for one laminar cross-section in a single tissue sample. Information on the used tissue samples and corresponding subjects for the receptor fingerprints and autoradiographs as well as a list of analyzed receptors accompanies the provided dataset.
DOI: 10.25493/14m7-qjr
title: Density measurements of different receptors for Area ifs2 (IFS) [human] (v1)

description: This dataset contains the densities (in fmol/mg protein) of receptors for classical neurotransmitters in Area ifs2 (IFS) obtained by means of quantitative in vitro autoradiography. The receptor densities are visualized as fingerprints (fp), which provide the mean density and standard deviation for each of the analyzed receptor types, averaged across samples. For exemplary samples, we also provide color-coded laminar autoradiography images (ar). The autoradiography images show an exemplary density distribution of a single receptor for one laminar cross-section in a single tissue sample. Information on the used tissue samples and corresponding subjects for the receptor fingerprints and autoradiographs as well as a list of analyzed receptors accompanies the provided dataset.
DOI: 10.25493/yf9r-j87
title: Density measurements of different receptors for Area ifs4 (IFS) [human] (v1)

description: This dataset contains the densities (in fmol/mg protein) of receptors for classical neurotransmitters in Area ifs4 (IFS) obtained by means of quantitative in vitro autoradiography. The receptor densities are visualized as fingerprints (fp), which provide the mean density and standard deviation for each of the analyzed receptor types, averaged across samples. For exemplary samples, we also provide color-coded laminar autoradiography images (ar). The autoradiography images show an exemplary density distribution of a single receptor for one laminar cross-section in a single tissue sample. Information on the used tissue samples and corresponding subjects for the receptor fingerprints and autoradiographs as well as a list of analyzed receptors accompanies the provided dataset.
DOI: 10.6084/m9.figshare.11794503.v1
title: Flower visitor records in Monte desert sites of Villavicencio Nature Reserve, Mendoza, Argentina in 2006-2011

description: Flower visitor records in Monte desert sites of Villavicencio Nature Reserve, Mendoza, Argentina during Austral springs for six flowering seasons (2007-2011). Data used in Chacoff NP, Resasco J, Vázquez DP. 2018. Interaction frequency, network position, and the temporal persistence of interactions in a plant-pollinator network. Ecology 99: 21-28, https://doi.org/10.1002/ecy.2063
DOI: 10.6084/m9.figshare.19424129.v1
title: Flower abundance data for Monte desert sites in Villavicencio Nature Reserve for Austral springs in years 2006-2011

description: Flower abundance records in Monte desert sites of Villavicencio Nature Reserve, Mendoza, Argentina during Austral springs for six flowering seasons (2007-2011). Data used in Chacoff NP, Resasco J, Vázquez DP. 2018. Interaction frequency, network position, and the temporal persistence of interactions in a plant-pollinator network. Ecology 99: 21-28, https://doi.org/10.1002/ecy.2063
DOI: 10.5517/ccdc.csd.cc24hgvz
title: CCDC 1981081: Experimental Crystal Structure Determination

description: Related Article: Nandkishor Prakash Khot, Paritosh Mahato, T. K. Sajeev, Saptarshi Mukherjee, Manmohan Kapur|2022|Org.Lett.|24|2186|doi:10.1021/acs.orglett.2c00503
DOI: 10.5517/ccdc.csd.cc25wwb9
title: CCDC 2022791: Experimental Crystal Structure Determination

description: Related Article: Zilong Huang, Yuan He, Liandi Wang, Jiying Li, Bao-Hua Xu, Yong-Gui Zhou, Zhengkun Yu|2022|J.Org.Chem.|87|4424|doi:10.1021/acs.joc.2c00137
DOI: 10.5517/ccdc.csd.cc2858rh
title: CCDC 2090446: Experimental Crystal Structure Determination

description: Related Article: Nandkishor Prakash Khot, Paritosh Mahato, T. K. Sajeev, Saptarshi Mukherjee, Manmohan Kapur|2022|Org.Lett.|24|2186|doi:10.1021/acs.orglett.2c00503
DOI: 10.5517/ccdc.csd.cc28dl4f
title: CCDC 2097464: Experimental Crystal Structure Determination

description: Related Article: Rui Wang, Kai-jun Xie, Qiang Fu, Min Wu, Gao-feng Pan, Da-wei Lou, Fu-Shun Liang|2022|Org.Lett.|24|2020|doi:10.1021/acs.orglett.2c00481
DOI: 10.5517/ccdc.csd.cc28p3mq
title: CCDC 2105663: Experimental Crystal Structure Determination

description: Related Article: Zongqiang Song, Kai Zhu, Hongqiang Jiang, Hengfa Gong, Zenghui Ye, Fengzhi Zhang|2022|J.Org.Chem.|87|4284|doi:10.1021/acs.joc.1c03121
DOI: 10.5517/ccdc.csd.cc28q95h
title: CCDC 2106796: Experimental Crystal Structure Determination

description: Related Article: Xiao-Dong Liu, Qiu-An Wang, Yan-Ping Zhu, Zhi-Hong Peng, Jin-Heng Li|2022|Green Chemistry|24|2476|doi:10.1039/D2GC00017B
DOI: 10.5517/ccdc.csd.cc28xhg5
title: CCDC 2112757: Experimental Crystal Structure Determination

description: Related Article: Vitalii S. Basistyi, James H. Frederich|2022|Org.Lett.|24|1907|doi:10.1021/acs.orglett.2c00227
DOI: 10.5517/ccdc.csd.cc2932q7
title: CCDC 2118128: Experimental Crystal Structure Determination

description: Related Article: Jin-Yu He, Wei-Feng Qian, Yan-Zhao Wang, Chaochao Yao, Nana Wang, Huilin Liu, Bing Zhong, Cuiju Zhu, Hao Xu|2022|Green Chemistry|24|2483|doi:10.1039/D1GC04479F
DOI: 10.5517/ccdc.csd.cc2932r8
title: CCDC 2118129: Experimental Crystal Structure Determination

description: Related Article: Jin-Yu He, Wei-Feng Qian, Yan-Zhao Wang, Chaochao Yao, Nana Wang, Huilin Liu, Bing Zhong, Cuiju Zhu, Hao Xu|2022|Green Chemistry|24|2483|doi:10.1039/D1GC04479F
DOI: 10.5517/ccdc.csd.cc2933zj
title: CCDC 2118167: Experimental Crystal Structure Determination

description: Related Article: Jin-Yu He, Wei-Feng Qian, Yan-Zhao Wang, Chaochao Yao, Nana Wang, Huilin Liu, Bing Zhong, Cuiju Zhu, Hao Xu|2022|Green Chemistry|24|2483|doi:10.1039/D1GC04479F
DOI: 10.5517/ccdc.csd.cc294bc5
title: CCDC 2119326: Experimental Crystal Structure Determination

description: Related Article: Anurag Singh, Arnab Dey, Kuntal Pal, Om Prakash Dash, Chandra M. R. Volla|2022|Org.Lett.|24|1941|doi:10.1021/acs.orglett.2c00320
DOI: 10.5517/ccdc.csd.cc294bd6
title: CCDC 2119327: Experimental Crystal Structure Determination

description: Related Article: Anurag Singh, Arnab Dey, Kuntal Pal, Om Prakash Dash, Chandra M. R. Volla|2022|Org.Lett.|24|1941|doi:10.1021/acs.orglett.2c00320
DOI: 10.5517/ccdc.csd.cc294bf7
title: CCDC 2119328: Experimental Crystal Structure Determination

description: Related Article: Anurag Singh, Arnab Dey, Kuntal Pal, Om Prakash Dash, Chandra M. R. Volla|2022|Org.Lett.|24|1941|doi:10.1021/acs.orglett.2c00320
DOI: 10.5517/ccdc.csd.cc296x7p
title: CCDC 2121802: Experimental Crystal Structure Determination

description: Related Article: Piotr Pander, Andrey V. Zaytsev, Amit Sil, J. A. Gareth Williams, Valery N. Kozhevnikov, Fernando B. Dias|2022|J.Mater.Chem.C|10|4851|doi:10.1039/D1TC05026E
DOI: 10.5517/ccdc.csd.cc2973g4
title: CCDC 2121995: Experimental Crystal Structure Determination

description: Related Article: Yujie Xue, Jijiang Wang, Yalei Shi, Wenhua Xu, Yanxia Zhao, Biao Wu, Xiao-Juan Yang|2022|Dalton Trans.|51|4394|doi:10.1039/D2DT00181K
DOI: 10.5517/ccdc.csd.cc2973h5
title: CCDC 2121996: Experimental Crystal Structure Determination

description: Related Article: Yujie Xue, Jijiang Wang, Yalei Shi, Wenhua Xu, Yanxia Zhao, Biao Wu, Xiao-Juan Yang|2022|Dalton Trans.|51|4394|doi:10.1039/D2DT00181K
DOI: 10.5517/ccdc.csd.cc2973j6
title: CCDC 2121997: Experimental Crystal Structure Determination

description: Related Article: Yujie Xue, Jijiang Wang, Yalei Shi, Wenhua Xu, Yanxia Zhao, Biao Wu, Xiao-Juan Yang|2022|Dalton Trans.|51|4394|doi:10.1039/D2DT00181K
DOI: 10.5517/ccdc.csd.cc29k9mt
title: CCDC 2131796: Experimental Crystal Structure Determination

description: Related Article: Rui Wang, Kai-jun Xie, Qiang Fu, Min Wu, Gao-feng Pan, Da-wei Lou, Fu-Shun Liang|2022|Org.Lett.|24|2020|doi:10.1021/acs.orglett.2c00481
DOI: 10.5517/ccdc.csd.cc29kmq7
title: CCDC 2132109: Experimental Crystal Structure Determination

description: Related Article: Philipp C. Brehm, Anne S. Müller-Feyen, Gregor Schnakenburg, Rainer Streubel|2022|Dalton Trans.|51|4400|doi:10.1039/D2DT00027J
DOI: 10.5517/ccdc.csd.cc29kmr8
title: CCDC 2132110: Experimental Crystal Structure Determination

description: Related Article: Philipp C. Brehm, Anne S. Müller-Feyen, Gregor Schnakenburg, Rainer Streubel|2022|Dalton Trans.|51|4400|doi:10.1039/D2DT00027J
DOI: 10.5517/ccdc.csd.cc29kms9
title: CCDC 2132111: Experimental Crystal Structure Determination

description: Related Article: Philipp C. Brehm, Anne S. Müller-Feyen, Gregor Schnakenburg, Rainer Streubel|2022|Dalton Trans.|51|4400|doi:10.1039/D2DT00027J
DOI: 10.5517/ccdc.csd.cc29kmtb
title: CCDC 2132112: Experimental Crystal Structure Determination

description: Related Article: Philipp C. Brehm, Anne S. Müller-Feyen, Gregor Schnakenburg, Rainer Streubel|2022|Dalton Trans.|51|4400|doi:10.1039/D2DT00027J
DOI: 10.5517/ccdc.csd.cc29kmvc
title: CCDC 2132113: Experimental Crystal Structure Determination

description: Related Article: Philipp C. Brehm, Anne S. Müller-Feyen, Gregor Schnakenburg, Rainer Streubel|2022|Dalton Trans.|51|4400|doi:10.1039/D2DT00027J
DOI: 10.5517/ccdc.csd.cc29kmwd
title: CCDC 2132114: Experimental Crystal Structure Determination

description: Related Article: Philipp C. Brehm, Anne S. Müller-Feyen, Gregor Schnakenburg, Rainer Streubel|2022|Dalton Trans.|51|4400|doi:10.1039/D2DT00027J
DOI: 10.5517/ccdc.csd.cc29m504
title: CCDC 2133575: Experimental Crystal Structure Determination

description: Related Article: Julien Chong, Céline Besnard, Carlos M. Cruz, Claude Piguet, Juan-Ramón Jiménez|2022|Dalton Trans.|51|4297|doi:10.1039/D2DT00126H
DOI: 10.5517/ccdc.csd.cc29m515
title: CCDC 2133576: Experimental Crystal Structure Determination

description: Related Article: Julien Chong, Céline Besnard, Carlos M. Cruz, Claude Piguet, Juan-Ramón Jiménez|2022|Dalton Trans.|51|4297|doi:10.1039/D2DT00126H
DOI: 10.5517/ccdc.csd.cc29m526
title: CCDC 2133577: Experimental Crystal Structure Determination

description: Related Article: Julien Chong, Céline Besnard, Carlos M. Cruz, Claude Piguet, Juan-Ramón Jiménez|2022|Dalton Trans.|51|4297|doi:10.1039/D2DT00126H
DOI: 10.5517/ccdc.csd.cc29m537
title: CCDC 2133578: Experimental Crystal Structure Determination

description: Related Article: Julien Chong, Céline Besnard, Carlos M. Cruz, Claude Piguet, Juan-Ramón Jiménez|2022|Dalton Trans.|51|4297|doi:10.1039/D2DT00126H
DOI: 10.5517/ccdc.csd.cc29zshl
title: CCDC 2144750: Experimental Crystal Structure Determination

description: Related Article: Anurag Singh, Arnab Dey, Kuntal Pal, Om Prakash Dash, Chandra M. R. Volla|2022|Org.Lett.|24|1941|doi:10.1021/acs.orglett.2c00320
DOI: 10.5517/ccdc.csd.cc29zsjm
title: CCDC 2144751: Experimental Crystal Structure Determination

description: Related Article: Anurag Singh, Arnab Dey, Kuntal Pal, Om Prakash Dash, Chandra M. R. Volla|2022|Org.Lett.|24|1941|doi:10.1021/acs.orglett.2c00320