cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc24yn70
title: CCDC 1994702: Experimental Crystal Structure Determination

description: Related Article: Stephan Schulz,  Christoph Helling,  Christoph Wölper,  George E. Cutsail,  Gebhard Haberhauer|2020|Chem.-Eur.J.|26|13390|doi:10.1002/chem.202001739
DOI: 10.5517/ccdc.csd.cc24yn81
title: CCDC 1994703: Experimental Crystal Structure Determination

description: Related Article: Stephan Schulz,  Christoph Helling,  Christoph Wölper,  George E. Cutsail,  Gebhard Haberhauer|2020|Chem.-Eur.J.|26|13390|doi:10.1002/chem.202001739
DOI: 10.5517/ccdc.csd.cc24yn92
title: CCDC 1994704: Experimental Crystal Structure Determination

description: Related Article: Stephan Schulz,  Christoph Helling,  Christoph Wölper,  George E. Cutsail,  Gebhard Haberhauer|2020|Chem.-Eur.J.|26|13390|doi:10.1002/chem.202001739
DOI: 10.5517/ccdc.csd.cc24ync4
title: CCDC 1994706: Experimental Crystal Structure Determination

description: Related Article: Stephan Schulz,  Christoph Helling,  Christoph Wölper,  George E. Cutsail,  Gebhard Haberhauer|2020|Chem.-Eur.J.|26|13390|doi:10.1002/chem.202001739
DOI: 10.5517/ccdc.csd.cc24ynd5
title: CCDC 1994707: Experimental Crystal Structure Determination

description: Related Article: Stephan Schulz,  Christoph Helling,  Christoph Wölper,  George E. Cutsail,  Gebhard Haberhauer|2020|Chem.-Eur.J.|26|13390|doi:10.1002/chem.202001739
DOI: 10.5517/ccdc.csd.cc24ynf6
title: CCDC 1994708: Experimental Crystal Structure Determination

description: Related Article: Stephan Schulz,  Christoph Helling,  Christoph Wölper,  George E. Cutsail,  Gebhard Haberhauer|2020|Chem.-Eur.J.|26|13390|doi:10.1002/chem.202001739
DOI: 10.5517/ccdc.csd.cc24yng7
title: CCDC 1994709: Experimental Crystal Structure Determination

description: Related Article: Stephan Schulz,  Christoph Helling,  Christoph Wölper,  George E. Cutsail,  Gebhard Haberhauer|2020|Chem.-Eur.J.|26|13390|doi:10.1002/chem.202001739
DOI: 10.5517/ccdc.csd.cc24zgd0
title: CCDC 1995482: Experimental Crystal Structure Determination

description: Related Article: Xiaodan Ding, Daniel K. Unruh, Ryan H. Groeneman, Kristin M. Hutchins|2020|Chemical Science|11|7701|doi:10.1039/D0SC02795B
DOI: 10.5517/ccdc.csd.cc24zgf1
title: CCDC 1995483: Experimental Crystal Structure Determination

description: Related Article: Xiaodan Ding, Daniel K. Unruh, Ryan H. Groeneman, Kristin M. Hutchins|2020|Chemical Science|11|7701|doi:10.1039/D0SC02795B
DOI: 10.5517/ccdc.csd.cc24zgg2
title: CCDC 1995484: Experimental Crystal Structure Determination

description: Related Article: Xiaodan Ding, Daniel K. Unruh, Ryan H. Groeneman, Kristin M. Hutchins|2020|Chemical Science|11|7701|doi:10.1039/D0SC02795B
DOI: 10.5517/ccdc.csd.cc24zgh3
title: CCDC 1995485: Experimental Crystal Structure Determination

description: Related Article: Xiaodan Ding, Daniel K. Unruh, Ryan H. Groeneman, Kristin M. Hutchins|2020|Chemical Science|11|7701|doi:10.1039/D0SC02795B
DOI: 10.5517/ccdc.csd.cc24zgj4
title: CCDC 1995486: Experimental Crystal Structure Determination

description: Related Article: Xiaodan Ding, Daniel K. Unruh, Ryan H. Groeneman, Kristin M. Hutchins|2020|Chemical Science|11|7701|doi:10.1039/D0SC02795B
DOI: 10.5517/ccdc.csd.cc24zgk5
title: CCDC 1995487: Experimental Crystal Structure Determination

description: Related Article: Xiaodan Ding, Daniel K. Unruh, Ryan H. Groeneman, Kristin M. Hutchins|2020|Chemical Science|11|7701|doi:10.1039/D0SC02795B
DOI: 10.5517/ccdc.csd.cc24zgm7
title: CCDC 1995489: Experimental Crystal Structure Determination

description: Related Article: Xiaodan Ding, Daniel K. Unruh, Ryan H. Groeneman, Kristin M. Hutchins|2020|Chemical Science|11|7701|doi:10.1039/D0SC02795B
DOI: 10.5517/ccdc.csd.cc24zgn8
title: CCDC 1995490: Experimental Crystal Structure Determination

description: Related Article: Xiaodan Ding, Daniel K. Unruh, Ryan H. Groeneman, Kristin M. Hutchins|2020|Chemical Science|11|7701|doi:10.1039/D0SC02795B
DOI: 10.5517/ccdc.csd.cc24zgp9
title: CCDC 1995491: Experimental Crystal Structure Determination

description: Related Article: Xiaodan Ding, Daniel K. Unruh, Ryan H. Groeneman, Kristin M. Hutchins|2020|Chemical Science|11|7701|doi:10.1039/D0SC02795B
DOI: 10.5517/ccdc.csd.cc24zgqb
title: CCDC 1995492: Experimental Crystal Structure Determination

description: Related Article: Xiaodan Ding, Daniel K. Unruh, Ryan H. Groeneman, Kristin M. Hutchins|2020|Chemical Science|11|7701|doi:10.1039/D0SC02795B
DOI: 10.21227/pvym-0k07
title: Model 1.4

description: Model 1.4Gradient Boosting Trees using GBtree (Python xgboost library) Monthly (kWh) consumption forecasting:1. Twelve regression models (one per month).2. Regression using (daily kWh) consumption extracted features. From weekend/weekday and full series:- Statistical: median, variance, quantiles, ...- Time-series: autocorrelations, trends, seasonalities, .. Regression model training: Nested cross-validation.- Outer k-fold CV loop splits held-out test data.- Inner k-fold CV loop splits train-validation data. Hyperparameter optimization on the outer loop using: Dual annealing (global + local search).
DOI: 10.6084/m9.figshare.7886810.v1
title: Estimating mutation rates in Campylobacter lineages using a micro-evolutionary approach

description: <i>Campylobacter jejuni</i> and <i>Campylobacter coli</i> are hugely diverse species with multiple lineages commonly found in the intestines of most mammals and avian species, with poultry being the main source of food-related infection. The rate at which individual lineages are evolving is misunderstood but can provide great insight into how the accumulation of genetic variation over time can contribute to the success of adapting to hosts. We used a microevolutionary approach to estimate the effect of mutation and recombination on the rate at which lineages of both species evolve.
DOI: 10.17632/rcscvwcyx4.2
title: Locomotor activity during alternating dark and light periods in zebrafish embryo-larvae exposed to citalopram

description: Locomotor activity data acquired by infrared individual tracking in a ZebraBox(R) apparatus and ZebraLab software (ViewPoint Life Sciences, Lyon, France) of six days post-fertilization zebrafish (Danio rerio) embryo-larvae exposed to increasing concentrations of the selective serotonin reuptake inhibitor (SSRI) citalopram. The embryo-larvae locomotor activity was tracked during alternating dark (0% illumination) and light periods (100% illumination). The supplied custom R script was used to aggregate, analyze and plot the data. Anxiolytic effects (i.e. hypoactivity during dark conditions) were detected in zebrafish embryo-larvae exposed to citalopram. An associated open access research article can be found at https://www.sciencedirect.com/science/article/pii/S0045653519318119.
DOI: 10.6084/m9.figshare.13120250
title: This contains the data and r scripts necessary to duplicate the analyses of body condition and survival for the manuscript "Survival of an Extinct in the Wild skink from Christmas island is reduced by an invasive centipede: implications for future reintroductions".

description: The blue-tailed skink (<i>Cryptoblepharus egeriae</i>) is endemic to Christmas Island but underwent rapid population declines in the 1990s and 2000s and was listed as Extinct in the Wild in 2017. As invasive giant centipedes (<i>Scolependra subspinipes</i>) were implicated as a cause of a failed reintroduction of captive bred skinks into a fenced enclosure, we undertook a mesocosm experiment to investigate if skink survival and body condition was negatively affected by the presence and density of <i>S. subspinipes</i>. In addition, we used DNA barcoding to determine if wild centipedes consume other reptile species on Christmas Island. In the mesocosm experiments, survival of skinks was reduced by 30% and 44% at low and high centipede densities respectively over 12 weeks, and skink body condition also declined significantly over this period. DNA barcoding confirmed that skinks that were lost during the mesocosm experiment had been consumed by centipedes. Further, we detected DNA of two invasive reptiles (the Common wolf snake <i>Lycodon capucinus </i>and the Asian House gecko <i>Hemidactylus frenatus</i>) in the stomachs of wild-caught centipedes, suggesting that centipedes are a generalist predator of reptiles in this island ecosystem. Based on these results, we recommend that attempts to reintroduce <i>C. egeriae</i> to Christmas Island should include the control of centipedes to increase the likelihood of success.
DOI: 10.25345/c5zb6x
title: MassIVE MSV000086348 - GNPS_Fishgut Samples from Kona_June 2019
title: LC-MS/MS analysis of 60 samples taken from the stomach, foregut, hindgut, and pyloric caeca of Kyphosus fish collected from Kona, HI.
DOI: 10.5281/zenodo.4116524
title: A complete dietary review of Japanese birds with special focus on molluscs

description: We present a new database reviewing dietary information for all Japanese bird species. The information within this database was collected through intense literary review to provide a complete look at bird species historically present around the country.
DOI: 10.25345/c5tj5c
title: MassIVE MSV000086349 - GNPS_Macroalgae samples from Kona, HI
title: Untargeted LC-MS/MS data from 50% MeOH/H2O extracts of 18 different species of seaweed collected from Kona, HI.
DOI: 10.6084/m9.figshare.13125551
title: Candy sales 2020

description: Data scraped from National Retail Federation webpage for 2020.
DOI: 10.15468/qs9kgk
title: The Morelloid clade of Solanum L. (Solanaceae) in Argentina: nomenclatural changes, three new species and an updated key to all taxa

description: This dataset contains the digitized treatments in Plazi based on the original journal article Knapp, Sandra, Chiarini, Franco, Cantero, Juan J., Barboza, Gloria E. (2020): The Morelloid clade of Solanum L. (Solanaceae) in Argentina: nomenclatural changes, three new species and an updated key to all taxa. PhytoKeys 164: 33-66, DOI: http://dx.doi.org/10.3897/phytokeys.164.54504, URL: http://dx.doi.org/10.3897/phytokeys.164.54504
DOI: 10.15468/w5bfe9
title: Octoblepharum peristomiruptum (Octoblepharaceae) a new species from the Neotropics

description: This dataset contains the digitized treatments in Plazi based on the original journal article Allen, Noris Salazar, Gudino, Jose A. (2020): Octoblepharum peristomiruptum (Octoblepharaceae) a new species from the Neotropics. PhytoKeys 164: 1-9, DOI: http://dx.doi.org/10.3897/phytokeys.164.51783, URL: http://dx.doi.org/10.3897/phytokeys.164.51783
DOI: 10.15468/wkydra
title: Two new species of Microlicia D. Don (Melastomataceae, Microlicieae) from Chapada dos Veadeiros, Goias State, Brazil

description: This dataset contains the digitized treatments in Plazi based on the original journal article Fontelas, Jean Correa, Romero, Rosana (2020): Two new species of Microlicia D. Don (Melastomataceae, Microlicieae) from Chapada dos Veadeiros, Goias State, Brazil. PhytoKeys 164: 115-126, DOI: http://dx.doi.org/10.3897/phytokeys.164.57569, URL: http://dx.doi.org/10.3897/phytokeys.164.57569
DOI: 10.15468/8mwfy8
title: Tongoloa arguta (Apiaceae), a new species from southwest China

description: This dataset contains the digitized treatments in Plazi based on the original journal article Gui, Ling-Jian, Wen, Jun, Xiao, Yan-Ping, Ren, Ting, Zheng, Hong-Yi, He, Xing-Jin (2020): Tongoloa arguta (Apiaceae), a new species from southwest China. PhytoKeys 164: 11-19, DOI: http://dx.doi.org/10.3897/phytokeys.164.54927, URL: http://dx.doi.org/10.3897/phytokeys.164.54927
DOI: 10.6084/m9.figshare.13125554
title: Biol3250_Goldenrod_Height_Density_Data

description: The purpose of this experiment was to determine whether the height of Canada Goldenrod plants is correlated with their density. This dataset was gathered in the same location as the pilot lab. The Lumsden Ave. entrance to Taylor Creek Park has the most abundant population of goldenrods, compared to other entrances. This time the lab was conducted further into the shrubbery in order to get higher densities of goldenrods in the quadrats. Another trial was run closer to the trail to get lower densities of goldenrods. This was done to control the densities and determine the relationship between height and density. At each site fifteen 1x1 metre quadrats were marked off in a linear direction. The densities were measured by counting the number of individual plants in each quadrat. 0-3 plants were considered low density quadrats, 4-6 plants were considered medium density quadrats, 7+ quadrats were high density quadrats. The average height of plants was determined by averaging the heights of all plants in the quadrat. Both sites were visited on the same day. There were 2 main sites (N=2) with a total of 30 quadrats (n=2) distributed between them. The density and height data were recorded separately in order to ensure clarity. They will however be graphed together later when displaying visuals for the relationship between density and plant height.
DOI: 10.6084/m9.figshare.13125554.v1
title: Biol3250_Goldenrod_Height_Density_Data

description: The purpose of this experiment was to determine whether the height of Canada Goldenrod plants is correlated with their density. This dataset was gathered in the same location as the pilot lab. The Lumsden Ave. entrance to Taylor Creek Park has the most abundant population of goldenrods, compared to other entrances. This time the lab was conducted further into the shrubbery in order to get higher densities of goldenrods in the quadrats. Another trial was run closer to the trail to get lower densities of goldenrods. This was done to control the densities and determine the relationship between height and density. At each site fifteen 1x1 metre quadrats were marked off in a linear direction. The densities were measured by counting the number of individual plants in each quadrat. 0-3 plants were considered low density quadrats, 4-6 plants were considered medium density quadrats, 7+ quadrats were high density quadrats. The average height of plants was determined by averaging the heights of all plants in the quadrat. Both sites were visited on the same day. There were 2 main sites (N=2) with a total of 30 quadrats (n=2) distributed between them. The density and height data were recorded separately in order to ensure clarity. They will however be graphed together later when displaying visuals for the relationship between density and plant height.
DOI: 10.15468/5vgug2
title: Revisiting the taxonomy of Dioclea and related genera (Leguminosae, Papilionoideae), with new generic circumscriptions

description: This dataset contains the digitized treatments in Plazi based on the original journal article Queiroz, Luciano Paganucci de, Snak, Cristiane (2020): Revisiting the taxonomy of Dioclea and related genera (Leguminosae, Papilionoideae), with new generic circumscriptions. PhytoKeys 164: 67-114, DOI: http://dx.doi.org/10.3897/phytokeys.164.55441, URL: http://dx.doi.org/10.3897/phytokeys.164.55441
DOI: 10.5281/zenodo.4116593
title: Table 1 : Norms for clinical use of CXM, a real-time marker of height velocity

description: Table 1 data set
DOI: 10.5281/zenodo.3825900
title: Table 1 : Norms for clinical use of CXM, a real-time marker of height velocity

description: Table 1 data set
DOI: 10.5281/zenodo.4067673
title: SRGN: Pythia + Delphes pp --&gt; tt-bar

description: A collection of datasets used in Parameter Estimation using Neural Networks in the Presence of Detector Effects for the top quark mass extraction example. Sample code for reproducing the results is available on GitHub. Top quark pair production is generated using Pythia 8.230 and detector effects are modeled using Delphes 3.4.1 using the default CMS run card. One of the \(W\) bosons is forced to decay to \(\mu + \nu_\mu\) while the other \(W\) boson decays hadronically. Each event is recorded as a variable-length set of objects, consisting of jets, muons, and neutrinos. At simulation-level, the neutrino is replaced with the missing transverse momentum. Generator-level and simulation-level jets are clustered with the anti-\(k_t\) algorithm using \(R=0.4\) and are labeled as \(b\)-tagged if the highest energy parton inside the jet cone (\(\Delta R&lt;0.5\)) is a \(b\) quark. Jets are required to have \(p_T&gt;20\) GeV and they can only be \(b\)-tagged if \(|\eta|&lt;2.5\). Furthermore, jets overlapping with the muon are removed. Events are only saved if they have at least two \(b\)-tagged jets and at least two additional non \(b\)-tagged jets. Four observables are formed for performing the top quark mass extraction. First, the \(b\)-jet closest to the muon is labeled \(b_1\). Of the remaining \(b\)-tagged jets, the highest \(p_T\) one is labeled \(b_2\). The highest two \(p_T\)non \(b\)-tagged jets are labeled \(j_1\) and \(j_2\) . The four observables are given by: \(m_{b_1\mu\nu}\), \(m_{b_2\mu\nu}\), \(m_{b_1j_1j_2}\), and \(m_{b_2j_1j_2}\), where the four- momentum of the detector-level neutrino is determined by solving the quadratic equation for the \(W\) boson mass. Per event, the data is listed: \((m_{b_1\mu\nu}, m_{b_2\mu\nu}, m_{b_2j_1j_2}, m_{b_1j_1j_2}, M_t)\), where \(M_t\)denotes the top quark mass. <strong>Training Datasets:</strong> <em>DCTR_Mt_train.npz</em> contains two arrays, X and Y.<br> X is an array of events and Y is 0 (1) if the jet was generated with default (non-default) top quark mass. For a non-default event (Y=1), the \(M_t\) in each list represents the value of the top quark mass that was used. Note that for a default event (Y=0) the \(M_t\) in each list is <strong>not</strong> the default top quark mass, but \(M_t\) uniformly sampled in the same range as the Y=1 jets. The top quark mass was uniformly sampled in \(M_t\in[170.0, 180.0]\). <strong>Test Datasets:</strong><br> The test datasets are arrays made up of the same observables discussed above but with the top quark mass removed (i.e. \((m_{b_1\mu\nu}, m_{b_2\mu\nu}, m_{b_2j_1j_2}, m_{b_1j_1j_2})\). <em>SRGN_Mt_default.npz</em><strong> </strong>was generated with the default top quark mass, \(M_t=172.5\) GeV, and <em>SRGN_Mt_unknown.npz</em><strong> </strong>was generated with \(M_t=175.0\) GeV.
DOI: 10.5281/zenodo.4067672
title: SRGN: Pythia + Delphes pp --&gt; tt-bar

description: A collection of datasets used in Parameter Estimation using Neural Networks in the Presence of Detector Effects for the top quark mass extraction example. Sample code for reproducing the results is available on GitHub. Top quark pair production is generated using Pythia 8.230 and detector effects are modeled using Delphes 3.4.1 using the default CMS run card. One of the \(W\) bosons is forced to decay to \(\mu + \nu_\mu\) while the other \(W\) boson decays hadronically. Each event is recorded as a variable-length set of objects, consisting of jets, muons, and neutrinos. At simulation-level, the neutrino is replaced with the missing transverse momentum. Generator-level and simulation-level jets are clustered with the anti-\(k_t\) algorithm using \(R=0.4\) and are labeled as \(b\)-tagged if the highest energy parton inside the jet cone (\(\Delta R&lt;0.5\)) is a \(b\) quark. Jets are required to have \(p_T&gt;20\) GeV and they can only be \(b\)-tagged if \(|\eta|&lt;2.5\). Furthermore, jets overlapping with the muon are removed. Events are only saved if they have at least two \(b\)-tagged jets and at least two additional non \(b\)-tagged jets. Four observables are formed for performing the top quark mass extraction. First, the \(b\)-jet closest to the muon is labeled \(b_1\). Of the remaining \(b\)-tagged jets, the highest \(p_T\) one is labeled \(b_2\). The highest two \(p_T\)non \(b\)-tagged jets are labeled \(j_1\) and \(j_2\) . The four observables are given by: \(m_{b_1\mu\nu}\), \(m_{b_2\mu\nu}\), \(m_{b_1j_1j_2}\), and \(m_{b_2j_1j_2}\), where the four- momentum of the detector-level neutrino is determined by solving the quadratic equation for the \(W\) boson mass. Per event, the data is listed: \((m_{b_1\mu\nu}, m_{b_2\mu\nu}, m_{b_2j_1j_2}, m_{b_1j_1j_2}, M_t)\), where \(M_t\)denotes the top quark mass. <strong>Training Datasets:</strong> <em>DCTR_Mt_train.npz</em> contains two arrays, X and Y.<br> X is an array of events and Y is 0 (1) if the jet was generated with default (non-default) top quark mass. For a non-default event (Y=1), the \(M_t\) in each list represents the value of the top quark mass that was used. Note that for a default event (Y=0) the \(M_t\) in each list is <strong>not</strong> the default top quark mass, but \(M_t\) uniformly sampled in the same range as the Y=1 jets. The top quark mass was uniformly sampled in \(M_t\in[170.0, 180.0]\). <strong>Test Datasets:</strong><br> The test datasets are arrays made up of the same observables discussed above but with the top quark mass removed (i.e. \((m_{b_1\mu\nu}, m_{b_2\mu\nu}, m_{b_2j_1j_2}, m_{b_1j_1j_2})\). <em>SRGN_Mt_default.npz</em><strong> </strong>was generated with the default top quark mass, \(M_t=172.5\) GeV, and <em>SRGN_Mt_unknown.npz</em><strong> </strong>was generated with \(M_t=175.0\) GeV.
DOI: 10.15468/yyhi3r
title: Global Register of Introduced and Invasive Species - Comoros

description: The Global Register of Introduced and Invasive Species (GRIIS) presents validated and verified national checklists of introduced (alien) and invasive alien species at the country, territory, and associated island level. Checklists are living entities, especially for biological invasions given the growing nature of the problem. GRIIS checklists are based on a published methodology and supported by the Integrated Publishing Tool that jointly enable ongoing improvements and updates to expand their taxonomic coverage and completeness. Phase 1 of the project focused on developing validated and verified checklists of countries that are Party to the Convention on Biological Diversity (CBD). Phase 2 aimed to achieve global coverage including non-party countries and all overseas territories of countries, e.g. those of the Netherlands, France, and the United Kingdom. All kingdoms of organisms occurring in all environments and systems are covered. Checklists are reviewed and verified by networks of country or species experts. Verified checklists/ species records, as well as those under review, are presented on the online GRIIS website (www.griis.org) in addition to being published through the GBIF Integrated Publishing Tool.
DOI: 10.6084/m9.figshare.13125563
title: Personal spending Halloween

description: Data scraped from National Retail Federation webpage
DOI: 10.6084/m9.figshare.13076942
title: Untitled ItemHMGCS1 promotes male differentiation of chick embryos by regulating the generate of cholesterol

description: All the results are in the uploaded Word document
DOI: 10.6084/m9.figshare.13076942.v1
title: Untitled ItemHMGCS1 promotes male differentiation of chick embryos by regulating the generate of cholesterol

description: All the results are in the uploaded Word document
DOI: 10.6084/m9.figshare.13125572
title: USA Halloween spending

description: Data scraped from National Retail Federation webpage. Values in billions of dollars listed.
DOI: 10.6084/m9.figshare.13125341
title: R0310_20191118a_videos

description: Rat 0310, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.13125341.v1
title: R0310_20191118a_videos

description: Rat 0310, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.5517/ccdc.csd.cc24vwqm
title: CCDC 1992051: Experimental Crystal Structure Determination

description: Related Article: Tingting Xu, Lihui Fan, Zhenzhen Jiang, Ping Zhou, Ziruo Li, Huangyan Lu, Yabing He|2020|Dalton Trans.|49|7174|doi:10.1039/D0DT01081B
DOI: 10.5517/ccdc.csd.cc21c8h6
title: CCDC 1887667: Experimental Crystal Structure Determination

description: Related Article: Yumi Yakiyama, Takahisa Fujinaka, Mio Nishimura, Ryotaro Seki, Hidehiro Sakurai|2020|Chem.Commun.|56|9687|doi:10.1039/D0CC03408H
DOI: 10.5517/ccdc.csd.cc21c8j7
title: CCDC 1887668: Experimental Crystal Structure Determination

description: Related Article: Yumi Yakiyama, Takahisa Fujinaka, Mio Nishimura, Ryotaro Seki, Hidehiro Sakurai|2020|Chem.Commun.|56|9687|doi:10.1039/D0CC03408H