cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.13073240
title: DBrasiliensis

description: The DBrasiliensis dataset is a repository with 246 images containing 5141 cysts of Dendrocephalus brasiliensis, a native species from South America. The cyst examples were obtained from substrates portions took from the bottom of an aquarium used as an incubator and split into two parts: one to capture the training images and the other to capture the test images.<br><br>Training images: the substrate was fixed on white coverslips and observed under a XTRAD USB digital microscope model XT-2036, in which the images were captured using 52x objective lenses. Subsequently, the LabelImg software was used to label cysts in both PASCAL VOC and YOLO formats. There are 111 images in all for training with a resolution of 640x480, containing 3173 annotated cysts. <br><br>Test images: the testing set was built with the aim of assigning a weight to a set of images. The substrate was split into small portions on a white coverslip and weigh it using a precision scale. Then, we capture an image of each portion of the substrate using the digital microscope. The captured images were stored in a folder, whose name indicates the amount of cyst and the weight of the substrate contained in the set of images. Besides, the file name of each image in the folder indicates the image number and amount of cyst contained in it. The complete testing set has 1968 cysts in 135 images with a resolution of 640x480 distributed in 10 folders. The substrate weight used to build the testing set is 4.24 grams. <br>
DOI: 10.25919/5f8095e7ddd40
title: Parkes observations for project P1058 semester 2020APRS_11

description: We propose to carry out a Parkes timing campaign of the new millisecond pulsar, J1431-6328, discovered by the Australian SKA Pathfinder (ASKAP) and Parkes Ultra-Wideband Low (UWL) receiver. PSR J1431-6328 has a spin period of 2.77 ms and is in a very wide binary system with an orbital period of 88 days. The relatively low mass of the companion and the long orbital period make this binary system extremely interesting for the understanding of binary evolution. The wide orbit of J1431-6328 also makes it useful for tests of the strong equivalence principle. The proposed program will allow us to better measure its binary parameters and to achieve more precise localisation of the pulsar, which is crucial for the optical follow-up of the system.
DOI: 10.6084/m9.figshare.11803326
title: Recently developed genomic resources for Cynomys gunnisoni and other ground squirrel taxa

description: This entry includes 4 bait sets and the full set of SNPs found across the genome of <i>Cynomys gunnisoni </i>(Gunnison's prairie dog). The 4 bait sets are between 80-100 (Ancient Bait Sets) and 80-120 (Modern Bait Sets) base pairs in length. Modern baits are longer in order to minimize off target reads due to the less specific binding of shorter baits. The bait sets are as follows: 1. <i>Cynomys gunnisoni</i> 20K Ancient (20,000 baits), 2. <i>Cynomys gunnisoni</i> 60K Ancient (60,000 baits), 3. <i>Cynomys gunnisoni</i> 20K Modern (20,000 baits), and 4. <i>Cynomys gunnisoni</i> 60K Modern (60,00 baits). These bait sets have the potential to be used in studies regarding adaptation, gene flow, cline analysis, and more. Additionally, these bait sets could be used not only for Gunnison's prairie dogs, but also for other ground squirrel taxa. All of the bait sets as well as the full set of SNPs were developed following the bioinformatics pipeline found here: https://github.com/CassinSackett/SNP_capture. All files are uploaded as fasta files.
DOI: 10.6084/m9.figshare.11803326.v1
title: Recently developed genomic resources for Cynomys gunnisoni and other ground squirrel taxa

description: This entry includes 4 bait sets and the full set of SNPs found across the genome of <i>Cynomys gunnisoni </i>(Gunnison's prairie dog). The 4 bait sets are between 80-100 (Ancient Bait Sets) and 80-120 (Modern Bait Sets) base pairs in length. Modern baits are longer in order to minimize off target reads due to the less specific binding of shorter baits. The bait sets are as follows: 1. <i>Cynomys gunnisoni</i> 20K Ancient (20,000 baits), 2. <i>Cynomys gunnisoni</i> 60K Ancient (60,000 baits), 3. <i>Cynomys gunnisoni</i> 20K Modern (20,000 baits), and 4. <i>Cynomys gunnisoni</i> 60K Modern (60,00 baits). These bait sets have the potential to be used in studies regarding adaptation, gene flow, cline analysis, and more. Additionally, these bait sets could be used not only for Gunnison's prairie dogs, but also for other ground squirrel taxa. All of the bait sets as well as the full set of SNPs were developed following the bioinformatics pipeline found here: https://github.com/CassinSackett/SNP_capture. All files are uploaded as fasta files.
DOI: 10.25919/5f8097146dd63
title: Parkes observations for project P1068 semester 2020APRS_20

description: In the fast-moving world of Fast Radio Bursts (FRBs), the key question of what fraction (as high as 100%?) of FRBs emit repeat bursts remains unanswered. Of order 10 repeating FRBs are now known, and their spectro-temporal properties hint at differences with apparently non-repeating bursts - but poor statistics preclude a definitive diagnosis. FRB 180301 is a promising source for further study for multiple reasons: it is the first repeating FRB seen by the FAST telescope, and has the second-highest rotation measure ever seen for a FRB (after the original repeater, FRB121102). We request Parkes observations with the UWL to characterise the broadband emission properties of this FRB, with the following key goals: to constrain the repetition rate, identify any variation of pulse characteristics over time, and provide insight into the emission mechanisms. In its initial detection, FRB 180301 was poorly fit by regular Faraday rotation models, and showed significant circular polarization, which may indicate the progenitor is embedded in an extreme magneto-ionic environment with complex field structure that has not been seen before. These observations will generate a large data volume. We will use the Medusa backend in parallel with the Breakthrough Listen data recorder (BL), and will transfer data to BL immediately after observations.These data will be used by P. Kumar to prototype a FRB pipeline for the UWL, that will be made broadly available for similar studies.
DOI: 10.17632/zgnrtm6pvw.1
title: Assessment of Ultrasonic Data of signals backscattered by mortar using the principal component analysis

description: Investigation of ultrasonic parameters of signals backscattered by mortar using the Principal Component Method
DOI: 10.17632/hhb9rhdzzt.1
title: Ruth Waineina Nucleotides

description: The data contains sequenced data in map and ped file
DOI: 10.17632/sp6cyrfvrv.2
title: Framing effects on online security behavior

description: Data set of the study on gain vs. loss-framed warning messages on online security behaviour
DOI: 10.17632/7bbv6n3gfc.1
title: Spectral, Crystalline, Thermal, Morphological characterization and Catalytic performance of Ruthenium(III) complexes of natural biopolymer based Schiff base ligands

description: Ruthenium(III) complexes [Ru(CS)4hy3mbd)(H2O)2Cl2] and [Ru(CS)2hybd)(H2O)2Cl2] have been characterized by FT-IR, X-ray diffraction, Thermo-gravimetric analysis and SEM with EDX. These complexes were derived from modified chitosan Schiff base and it was performed as a ligand. This chitosan Schiff base ligand was involved in complexation reaction with Ruthenium metal ion to form coordination complex. This synthesized Ruthenium(III) complexes were act as active catalyst for the oxidation of primary and secondary alcohols converted to corresponding aldehydes and ketones at suitable reaction conditions. The oxidation of alcohols were performed using ruthenium metal complexes as catalyst with Pyridinium chlorochromate (PCC) as oxidant and dichloro methane as solvent.
DOI: 10.17632/fnpwzj37gw.3
title: Dense sampling of bird diversity increases power of comparative genomics

description: Data accompanying the manuscript "Dense sampling of bird diversity increases power of comparative genomics" In Nature releasing of 267 bird genomes as part of the Bird 10,000 Genome Project (B10K), in addition to orthology assignments and analyses on a total of 363 genomes. The dataset includes - Extended Data Figures. Zoomable PDFs for some Extended Data Figures 2e, 3, 6, 7c, 8a with tip labels; gene tree file for GH orthologs shown in Extended Data Figure 6. - Supplementary Tables 1 to 15. Captions are given in supplementary_table_captions.txt. Tables can be downloaded individually or as a package (supplementary_tables.zip). Sample information for each genome and genome statistics (Supplementary Table 1) can also be viewed online at https://b10k.scifeon.cloud/. - B10K_name_map.xls. Allows translation of B10K sample codes, short 6 letter codes used in ortholog annotations and species latin name. - Supplementary File 2. The tree file in newick format for all 10,135 species of birds. The tree was pruned from the synthesis tree by excluding all subspecies, operational taxonomic units and unaccepted species as described in Supplementary File 1.
DOI: 10.34740/kaggle/dsv/1548108
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.17632/2bmbh8fgrn.1
title: Application of Impact-Echo Method for Rockbolt Length Detection

description: This study examines the spectral responses resulting from the use of the impact-echo method for rockbolt length detection. A rockbolt is a thin long member that is often used in tunnels or slope protection works to fasten structures and soil/rock mass tightly together. It involves embedding a long steel bolt fully anchored to the original structure to resist strong pulling forces and stabilize the original structure or serve as a connecting member between two materials. Inadequate embedment length or poor grouting can prevent rockbolts from serving the function they were designed for and result in rockbolt failure. This study employed finite element analysis to conduct numerical simulation analyses of the stress wave signals in rockbolts and then used the impact-echo method to measure rockbolt length and grout integrity. Our results indicate that the impact-echo method can be used to determine rockbolt length but requires prior knowledge of whether the rockbolt is grouted. If not, then its detection signals will be similar to those of a bare steel bar. The rockbolt length can then be calculated using the theoretical wave velocity in a steel bar and the fundamental frequency derived from measurements. If the rockbolt is grouted, then the wave velocity in the grout material must be known so that the accurate length of the rockbolt can be derived.
DOI: 10.17632/p4h8w2hmwm.2
title: Data For: Consultant Assignment and Routing Problem with Priority

description: The CARPP problem aims to simultaneously assign consultants to clients and determine the traveling routes. The features of the problem are listed as follows. The consulting activities must be performed face-to-face at the client site. Therefore, consultants travel to almost all client assignments to fulfill their jobs. The objective is to minimize the incurred airfares and the consultants’ wages. Consultants are proficient in different skills and they can only fill demands requiring the relevant skill. The skills cannot be easily replicated or cross-trained. In addition, priority requirement has to be matched before assigning consultants to clients. To avoid dissatisfaction from consultants, the maximum number of flying trips should not exceed four for each consultant per week. The CARPP problem does not consider time window because the specific working time is determined by consultants and clients.
DOI: 10.6084/m9.figshare.13073312.v1
title: R0183_20170820a_videos

description: Rat 0183, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.13073312
title: R0183_20170820a_videos

description: Rat 0183, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.17632/xnx7p847p4.1
title: 2020_Surrogate_Explicit_Full

description: Supporting data of the Surrogate_Explicit_Full Paper by Fernandez et al., 2020 submitted to GRL
DOI: 10.17632/gd73w8k28g.5
title: Video document extracted from SPREAD3

description: Supplementary material. SM5. Video document extracted from SPREAD3, showing HIV-1 subtype C migrations across Brazil. The cut-off point for the posterior probability is 0.8. File size: 2.15 MB; duration: 28 seconds; format: MP4.
DOI: 10.17632/9h4g8z5244.1
title: EGDI Dataset for the 2014, 2016 and 2018 Periods Re-Evaluated using Shannon Entropy, TOPSIS and DEA

description: This dataset includes the electronic government development index (EGDI) data for the 2014, 2016 and 2018 periods, and the results of the Shannon Entropy, TOPSIS and DEA methods applied to this data. The full details of the methods and models applied can be found in the upcoming paper "Re-evaluating Electronic Government Development Index to Monitor the Transformation toward Achieving Sustainable Development Goals."
DOI: 10.17632/9xvzv9pbsv.1
title: Sri Lankan dental students’ perspective on the effectiveness of e learning

description: General objective of the study was to assess the undergraduate dental students’ perspectives on the effectiveness of e learning involved in Bachelor of Dental Surgery (BDS) program. Specific objectives were to identify the most efficient method for e learning for different components, to assess the students’ opinion and awareness on effectiveness of using different platforms and social media for e learning, to assess undergraduate students’ opinion and effectiveness of online teaching considering the barriers imposed and to identify areas and modes of improvement of e learning in BDS study program. The study was carried out as a prospective, cross sectional descriptive type of study. Study sample was undergraduate dental students of the Faculty of Dental Sciences, University of Peradeniya. Undergraduate students who have completed all online lectures and assignments based on content taught online in 1st, 3rd, 5th and 7th semester. A self-administered pretested questionnaire administered via a Google form which is a web based survey tool provided by Google Inc was used as the study instrument with a covering letter, information sheet and consent form annexed to the form. Survey link was disseminated as a Uniform Resource Locator (URL) or web address among dental students. Questionnaire was prepared for them to proceed once the informed written consent was obtained. The questionnaire used in this study comprised of close-ended questions. The questionnaire consisted of demographic data and specific questions on awareness, attitude and practice of e-learning.
DOI: 10.5281/zenodo.4059716
title: LEOSS Public Use File

description: Anonymized Public Use File of the Lean European Open Survey on SARS-CoV-2 (LEOSS), a European registry for studying the epidemiology and clinical course of COVID-19 (see: https://leoss.net/).
DOI: 10.5281/zenodo.4059715
title: LEOSS Public Use File

description: Anonymized Public Use File of the Lean European Open Survey on SARS-CoV-2 (LEOSS), a European registry for studying the epidemiology and clinical course of COVID-19 (see: https://leoss.net/).
DOI: 10.5281/zenodo.4075391
title: Gridded ICESat-2 lead fraction and chord length estimates

description: Gridded lead fraction and chord length estimates across the Arctic and Southern Ocean derived from ICESat-2 ATL07 data. Arctic data span the period November 2018 to April 2019, Southern Ocean data span the period May 2019 to September 2019. Data described in the following paper that was submitted for consideration in AGU's Earth and Space Science: Petty, A. A., M. Bagnardi, N. T. Kurtz, R. Tilling, S. Fons, T. Armitage, C. Horvat, R. Kwok, (submitted). Assessment of ICESat-2 sea ice surface classification with Sentinel-2 imagery: implications for freeboard and new estimates of lead and floe geometry. https://doi.org/10.1002/essoar.10504493.1.
description: {"references": ["Petty, A. A., M. Bagnardi, N. T. Kurtz, R. Tilling, S. Fons, T. Armitage, C. Horvat, R. Kwok, (submitted). Assessment of ICESat-2 sea ice surface classification with Sentinel-2 imagery: implications for freeboard and new estimates of lead and floe geometry. https://doi.org/10.1002/essoar.10504493.1."]}
DOI: 10.5281/zenodo.4075465
title: AMR Data spreadsheet

description: This is the dataset used for training the model and resistance frequency prediction in the AMR project.
DOI: 10.5517/ccdc.csd.ccyxlhx
title: CCDC 891420: Experimental Crystal Structure Determination

description: Related Article: S. Packiaraj, P. Kanchana, A. Pushpaveni, H. Puschmann, S. Govindarajan|2019|New J.Chem.|43|979|doi:10.1039/C8NJ03600D
DOI: 10.5517/ccdc.csd.ccyxlgw
title: CCDC 891419: Experimental Crystal Structure Determination

description: Related Article: S. Packiaraj, P. Kanchana, A. Pushpaveni, H. Puschmann, S. Govindarajan|2019|New J.Chem.|43|979|doi:10.1039/C8NJ03600D
DOI: 10.5517/ccdc.csd.ccyxljy
title: CCDC 891421: Experimental Crystal Structure Determination

description: Related Article: S. Packiaraj, P. Kanchana, A. Pushpaveni, H. Puschmann, S. Govindarajan|2019|New J.Chem.|43|979|doi:10.1039/C8NJ03600D
DOI: 10.5517/cc1kp17j
title: CCDC 1450187: Experimental Crystal Structure Determination

description: Related Article: Long Chen, Feng Zhou, Lin Shi, and Jian Zhou|2016|CSD Communication|||
description: Related Article: Ren-Yi Zhu, Long Chen, Xiao-Si Hu, Feng Zhou, Jian Zhou|2020|Chemical Science|11|97|doi:10.1039/C9SC04938J
DOI: 10.5517/ccdc.csd.cc1l3832
title: CCDC 1462893: Experimental Crystal Structure Determination

description: Related Article: Taro Koide, Moritaka Takesue, Toshihiro Murafuji, Koichiro Satomi, Yasutaka Suzuki, Jun Kawamata, Kengo Terai, Mitsuharu Suzuki, Hiroko Yamada, Yoshihito Shiota, Kazunari Yoshizawa, Fumito Tani|2017|ChemPlusChem|82|1010|doi:10.1002/cplu.201600356
DOI: 10.5517/ccdc.csd.cc1jf68f
title: CCDC 1412864: Experimental Crystal Structure Determination

description: Related Article: Andrey S. Smirnov, Luísa M. D. R. S. Martins, Dmitriy N. Nikolaev, Roman A. Manzhos, Vlad V. Gurzhiy, Alexander G. Krivenko, Kirill O. Nikolaenko, Alexander V. Belyakov, Alexander V. Garabadzhiu, Pavel B. Davidovich|2019|New J.Chem.|43|188|doi:10.1039/C8NJ02718H
DOI: 10.5517/ccdc.csd.cc1nn9l6
title: CCDC 1538858: Experimental Crystal Structure Determination

description: Related Article: Andrey S. Smirnov, Luísa M. D. R. S. Martins, Dmitriy N. Nikolaev, Roman A. Manzhos, Vlad V. Gurzhiy, Alexander G. Krivenko, Kirill O. Nikolaenko, Alexander V. Belyakov, Alexander V. Garabadzhiu, Pavel B. Davidovich|2019|New J.Chem.|43|188|doi:10.1039/C8NJ02718H
DOI: 10.5517/ccdc.csd.cc1nn9m7
title: CCDC 1538859: Experimental Crystal Structure Determination

description: Related Article: Andrey S. Smirnov, Luísa M. D. R. S. Martins, Dmitriy N. Nikolaev, Roman A. Manzhos, Vlad V. Gurzhiy, Alexander G. Krivenko, Kirill O. Nikolaenko, Alexander V. Belyakov, Alexander V. Garabadzhiu, Pavel B. Davidovich|2019|New J.Chem.|43|188|doi:10.1039/C8NJ02718H
DOI: 10.5517/ccdc.csd.cc1nn9n8
title: CCDC 1538860: Experimental Crystal Structure Determination

description: Related Article: Andrey S. Smirnov, Luísa M. D. R. S. Martins, Dmitriy N. Nikolaev, Roman A. Manzhos, Vlad V. Gurzhiy, Alexander G. Krivenko, Kirill O. Nikolaenko, Alexander V. Belyakov, Alexander V. Garabadzhiu, Pavel B. Davidovich|2019|New J.Chem.|43|188|doi:10.1039/C8NJ02718H
DOI: 10.5517/ccdc.csd.cc1nn9p9
title: CCDC 1538861: Experimental Crystal Structure Determination

description: Related Article: Andrey S. Smirnov, Luísa M. D. R. S. Martins, Dmitriy N. Nikolaev, Roman A. Manzhos, Vlad V. Gurzhiy, Alexander G. Krivenko, Kirill O. Nikolaenko, Alexander V. Belyakov, Alexander V. Garabadzhiu, Pavel B. Davidovich|2019|New J.Chem.|43|188|doi:10.1039/C8NJ02718H
DOI: 10.5517/ccdc.csd.cc1nn9qb
title: CCDC 1538862: Experimental Crystal Structure Determination

description: Related Article: Andrey S. Smirnov, Luísa M. D. R. S. Martins, Dmitriy N. Nikolaev, Roman A. Manzhos, Vlad V. Gurzhiy, Alexander G. Krivenko, Kirill O. Nikolaenko, Alexander V. Belyakov, Alexander V. Garabadzhiu, Pavel B. Davidovich|2019|New J.Chem.|43|188|doi:10.1039/C8NJ02718H
DOI: 10.5517/ccdc.csd.cc1nn9rc
title: CCDC 1538863: Experimental Crystal Structure Determination

description: Related Article: Andrey S. Smirnov, Luísa M. D. R. S. Martins, Dmitriy N. Nikolaev, Roman A. Manzhos, Vlad V. Gurzhiy, Alexander G. Krivenko, Kirill O. Nikolaenko, Alexander V. Belyakov, Alexander V. Garabadzhiu, Pavel B. Davidovich|2019|New J.Chem.|43|188|doi:10.1039/C8NJ02718H
DOI: 10.5517/ccdc.csd.cc1nn9tf
title: CCDC 1538865: Experimental Crystal Structure Determination

description: Related Article: Andrey S. Smirnov, Luísa M. D. R. S. Martins, Dmitriy N. Nikolaev, Roman A. Manzhos, Vlad V. Gurzhiy, Alexander G. Krivenko, Kirill O. Nikolaenko, Alexander V. Belyakov, Alexander V. Garabadzhiu, Pavel B. Davidovich|2019|New J.Chem.|43|188|doi:10.1039/C8NJ02718H
DOI: 10.5517/ccdc.csd.cc1nn9vg
title: CCDC 1538866: Experimental Crystal Structure Determination

description: Related Article: Andrey S. Smirnov, Luísa M. D. R. S. Martins, Dmitriy N. Nikolaev, Roman A. Manzhos, Vlad V. Gurzhiy, Alexander G. Krivenko, Kirill O. Nikolaenko, Alexander V. Belyakov, Alexander V. Garabadzhiu, Pavel B. Davidovich|2019|New J.Chem.|43|188|doi:10.1039/C8NJ02718H
DOI: 10.5517/ccdc.csd.cc1nn9xj
title: CCDC 1538868: Experimental Crystal Structure Determination

description: Related Article: Andrey S. Smirnov, Luísa M. D. R. S. Martins, Dmitriy N. Nikolaev, Roman A. Manzhos, Vlad V. Gurzhiy, Alexander G. Krivenko, Kirill O. Nikolaenko, Alexander V. Belyakov, Alexander V. Garabadzhiu, Pavel B. Davidovich|2019|New J.Chem.|43|188|doi:10.1039/C8NJ02718H
DOI: 10.5517/ccdc.csd.cc1nn9zl
title: CCDC 1538870: Experimental Crystal Structure Determination

description: Related Article: Andrey S. Smirnov, Luísa M. D. R. S. Martins, Dmitriy N. Nikolaev, Roman A. Manzhos, Vlad V. Gurzhiy, Alexander G. Krivenko, Kirill O. Nikolaenko, Alexander V. Belyakov, Alexander V. Garabadzhiu, Pavel B. Davidovich|2019|New J.Chem.|43|188|doi:10.1039/C8NJ02718H
DOI: 10.5517/ccdc.csd.cc1nnb0n
title: CCDC 1538871: Experimental Crystal Structure Determination

description: Related Article: Andrey S. Smirnov, Luísa M. D. R. S. Martins, Dmitriy N. Nikolaev, Roman A. Manzhos, Vlad V. Gurzhiy, Alexander G. Krivenko, Kirill O. Nikolaenko, Alexander V. Belyakov, Alexander V. Garabadzhiu, Pavel B. Davidovich|2019|New J.Chem.|43|188|doi:10.1039/C8NJ02718H
DOI: 10.5517/ccdc.csd.cc1nnb1p
title: CCDC 1538872: Experimental Crystal Structure Determination

description: Related Article: Andrey S. Smirnov, Luísa M. D. R. S. Martins, Dmitriy N. Nikolaev, Roman A. Manzhos, Vlad V. Gurzhiy, Alexander G. Krivenko, Kirill O. Nikolaenko, Alexander V. Belyakov, Alexander V. Garabadzhiu, Pavel B. Davidovich|2019|New J.Chem.|43|188|doi:10.1039/C8NJ02718H
DOI: 10.5517/ccdc.csd.cc1nnb2q
title: CCDC 1538873: Experimental Crystal Structure Determination

description: Related Article: Andrey S. Smirnov, Luísa M. D. R. S. Martins, Dmitriy N. Nikolaev, Roman A. Manzhos, Vlad V. Gurzhiy, Alexander G. Krivenko, Kirill O. Nikolaenko, Alexander V. Belyakov, Alexander V. Garabadzhiu, Pavel B. Davidovich|2019|New J.Chem.|43|188|doi:10.1039/C8NJ02718H
DOI: 10.5517/ccdc.csd.cc1nnb3r
title: CCDC 1538874: Experimental Crystal Structure Determination

description: Related Article: Andrey S. Smirnov, Luísa M. D. R. S. Martins, Dmitriy N. Nikolaev, Roman A. Manzhos, Vlad V. Gurzhiy, Alexander G. Krivenko, Kirill O. Nikolaenko, Alexander V. Belyakov, Alexander V. Garabadzhiu, Pavel B. Davidovich|2019|New J.Chem.|43|188|doi:10.1039/C8NJ02718H
DOI: 10.5517/ccdc.csd.cc1nnb4s
title: CCDC 1538875: Experimental Crystal Structure Determination

description: Related Article: Andrey S. Smirnov, Luísa M. D. R. S. Martins, Dmitriy N. Nikolaev, Roman A. Manzhos, Vlad V. Gurzhiy, Alexander G. Krivenko, Kirill O. Nikolaenko, Alexander V. Belyakov, Alexander V. Garabadzhiu, Pavel B. Davidovich|2019|New J.Chem.|43|188|doi:10.1039/C8NJ02718H