cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4552766
title: Co-seismic Surface Dilatation and Shear Strain Fields Derived from SPOT-5 Displacements

description: Repeated earthquake cycles produce topography, fault damage zones, and other geologic structures along faults. These geomorphic and structural features indicate the presence of co-seismic permanent (inelastic) surface deformation, yet a long-standing question in earthquake research is how much of the co-seismic deformation field is elastic versus inelastic. These questions arise in part because it is unclear what measurable co-seismic characteristics, such as off-fault or distributed surface deformation and cracking, represent true unrecoverable deformation. One emerging descriptor of permanent co-seismic deformation is surface strain magnitudes inferred from imaging geodesy observations. In this study, we present the surface strain field of the 2013 Mw7.7 Baluchistan strike-slip earthquake in southern Pakistan. We invert co-seismic displacement fields generated from pixel-tracking of SPOT-5 and WorldView optical imagery for co-seismic surface horizontal strain tensors. We observe that co-seismic strain field is dominated by negative dilatation strains, indicating that the co-seismic fault zone contracted during the earthquake. We show that co-seismic inelastic failure exhibits a relatively consistent width along the rupture that is localized to a zone 100-200 m wide on the hanging wall side. The width of co-seismic permanent deformation does not correlate with variations in off-fault deformation or surface geology. Based on comparisons to other recent earthquakes, we posit that the permanent surface strains reflect inelastic deformation of the faults inner damage zone, and that the width of this zone reflects fault maturity.
description: {"references": ["Cheng, G. and Barnhart, W.D. (2021) Permanent Co\u2010seismic Deformation of the 2013 Mw7.7 Baluchistan, Pakistan Earthquake from High\u2010resolution Surface Strain Analysis. JGR Solid Earth. https://doi.org/10.1029/2020JB020622"]}
DOI: 10.15468/6stsqx
title: The genus Harmonia (Coleoptera, Coccinellidae) in the Middle East region

description: This dataset contains the digitized treatments in Plazi based on the original journal article Biranvand, Amir, Nedvěd, Oldřich, Tomaszewska, Wioletta, Al Ansi, Amin N., Fekrat, Lida, Haghghadam, Zahra Mojib, Khormizi, Mehdi Zare, Noorinahad, Sara, Şenal, Derya, Shakarami, Jahanshir, Haelewaters, Danny (2019): The genus Harmonia (Coleoptera, Coccinellidae) in the Middle East region. Acta Entomologica Musei Nationalis Pragae 59 (1): 163-170, DOI: 10.2478/aemnp-2019-0014
DOI: 10.5281/zenodo.3928274
title: Initial Investors of the BB1 token

description: In 2019 the Berlin based crypto company bitbond issued the security token BB1 (ITIN: 8WR5-AKBG-X) in Germany’s first, completely regulated STO (security token offering). The BB1 token is structured like a bond of the issuer Bitbond Finance GmbH, with a fixed coupon of 4.00% p.a. (frequency: quarterly), and a floating coupon of 60% of the pre-tax profit of the issuer (frequency: annually). All BB1 related transactions can be observed at the Stellar blockchain. We used this transpareny to extract a list of all investors who initially bought the token. We found 1021 initial investments in total, with a total investment volume of around 2,5 mio BB1 token. The list contains all investments, which have been claimed between July 2019 and June 2020. For each investment we extracted the following data: <strong>Date. </strong>This is the date, at which the investor claimed the purchased tokens. <strong>Recipient.</strong> Is the ID of the investros account in the Stellar network. All details about this account can be retrieved by: https://stellar.expert/explorer/public/account/[ID] <strong>Symbol. </strong>The symbol of the BB1 token. <strong>Volume.</strong> The number of BB1 tokens the investor has intially purchased. If you have any questions regarding this dataset please contact Lutz Maicher (lutz.maicher@uni-jena.de). There is already a piece at Medium where this data is used: "How versatile is the crowd of STO investors — the case of the BB1 token"
DOI: 10.5281/zenodo.3928273
title: Initial Investors of the BB1 token

description: In 2019 the Berlin based crypto company bitbond issued the security token BB1 (ITIN: 8WR5-AKBG-X) in Germany’s first, completely regulated STO (security token offering). The BB1 token is structured like a bond of the issuer Bitbond Finance GmbH, with a fixed coupon of 4.00% p.a. (frequency: quarterly), and a floating coupon of 60% of the pre-tax profit of the issuer (frequency: annually). All BB1 related transactions can be observed at the Stellar blockchain. We used this transpareny to extract a list of all investors who initially bought the token. We found 1021 initial investments in total, with a total investment volume of around 2,5 mio BB1 token. The list contains all investments, which have been claimed between July 2019 and June 2020. For each investment we extracted the following data: <strong>Date. </strong>This is the date, at which the investor claimed the purchased tokens. <strong>Recipient.</strong> Is the ID of the investros account in the Stellar network. All details about this account can be retrieved by: https://stellar.expert/explorer/public/account/[ID] <strong>Symbol. </strong>The symbol of the BB1 token. <strong>Volume.</strong> The number of BB1 tokens the investor has intially purchased. If you have any questions regarding this dataset please contact Lutz Maicher (lutz.maicher@uni-jena.de). There is already a piece at Medium where this data is used: "How versatile is the crowd of STO investors — the case of the BB1 token"
DOI: 10.5281/zenodo.4292991
title: Bitcoin Historical Prices Dataset

description: The following dataset contains the attributes: Date: Specific date to be observed for the corresponding price. Open: The opening price for the day High: The maximum price it has touched for the day Low: The minimum price it has touched for the day Close: The closing price for the day percent_change_24h: Percentage change for the last 24hours Volume: Volume of Bitcoin traded at the date Market Cap: Market Value of traded Bitcoin
DOI: 10.5281/zenodo.4292990
title: Bitcoin Historical Prices Dataset

description: The following dataset contains the attributes: Date: Specific date to be observed for the corresponding price. Open: The opening price for the day High: The maximum price it has touched for the day Low: The minimum price it has touched for the day Close: The closing price for the day percent_change_24h: Percentage change for the last 24hours Volume: Volume of Bitcoin traded at the date Market Cap: Market Value of traded Bitcoin
DOI: 10.18112/openneuro.ds003522.v1.0.0
title: ThreeStimAuditoryOddball
DOI: 10.15785/sbgrid/794
title: X-Ray Diffraction data from KSHV ORF68, source of 6XF9 structure

description: Native data set
DOI: 10.18112/openneuro.ds003522.v1.1.0
title: ThreeStimAuditoryOddball
DOI: 10.6084/m9.figshare.3761562.v1780
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.6084/m9.figshare.13718131.v1
title: Jdaviz IFU test files

description: Simulated IRIS field for the spectrometer and the same data injected into a Manga IFU data file which is given as an example for Cubeviz and is useful to have a file which has the right structure.
DOI: 10.25919/fxgm-c988
title: Parkes observations for project P1038 semester 2020OCTS_12

description: PSR~J1759-2402 is one of a small handful of pulsars which are in orbit about high mass stars. Its orbital period is 8.3 years and the orbit is highly eccentric with periastron expected in 2021 March. Although discovered at Parkes, the Lovell telescope has been monitoring the pulsar over many years. However, it’s restricted bandwidth, maintenance schedule and poorer polarization capability make it unsuitable to follow the pulsar as it enters and leaves the eclipse by the companion. In contrast, the UWL on Parkes with its wide- band and excellent polarization characteristics means that we can determine scattering, polarization, dispersion measure and rotation measure changes as the pulsar enters its companion wind. We request a continuation of our weekly observations of the pulsar to track its progress around the orbit.
DOI: 10.6084/m9.figshare.11931315
title: Diagnostic evaluation of histopathology, PCR and qPCR to detect Mikrocytos mackini in oysters using Bayesian latent class analysis - collected and generated data

description: Collected and generated data as well as OpenBugs LCA models as part of:<br><br>Polinski MP, Laurin E, Delphino MKVC, Lowe GJ, Meyer GR, Abbott CL (2021) Diagnostic evaluation of histopathology, PCR and qPCR to detect Mikrocytos mackini in oysters using Bayesian latent class analysis. Diseases of Aquatic Organisms
DOI: 10.6084/m9.figshare.11931315.v1
title: Diagnostic evaluation of histopathology, PCR and qPCR to detect Mikrocytos mackini in oysters using Bayesian latent class analysis - collected and generated data

description: Collected and generated data as well as OpenBugs LCA models as part of:<br><br>Polinski MP, Laurin E, Delphino MKVC, Lowe GJ, Meyer GR, Abbott CL (2021) Diagnostic evaluation of histopathology, PCR and qPCR to detect Mikrocytos mackini in oysters using Bayesian latent class analysis. Diseases of Aquatic Organisms
DOI: 10.25919/jxay-fc96
title: Parkes observations for project P574 semester 2020OCTS_05

description: We request time to observe 260 pulsars on a regular basis to provide the accurate ephemerides necessary for the detection and characterisation of gamma-ray pulsars with the Fermi satellite. The main science goals are to increase the number of known gamma-ray pulsars (both radio-loud and radio-quiet), to determine accurate pulse profiles, and to characterise their high energy (phase-resolved) spectra. In the radio, the observations will also allow us to find glitches, characterise timing noise, investigate dispersion and rotation measure variability, and enhance our knowledge of single pulse phenomenology. To date, we are (co-)authors on over 80 papers arising from the collaboration and P574 data. The data have contributed to the PhD theses of students from Bordeaux, Oxford, Manchester, Stanford, and Swinburne.
DOI: 10.25919/4j2v-8p33
title: Parkes observations for project P1061 semester 2020OCTS_15

description: Fast Radio Bursts (FRBs) have extremely high brightness temperature, owing to their short-duration and prominent flux from the distant universe. The studies on emission mechanism of FRBs have met bottleneck for a long time unless a complete spectrum is measured. We propose to observe a new repeating FRB source, FRB 180301, using the Parkes ultra-wide-bandwidth receiver (UWL). This source was initially found by Parkes multibeam receivers and confirmed repetition by the FAST telescope. The source is still active until Jun 2020 from FAST follow-ups. It’s an ideal opportunity to capture comprehensive spectral information using the Parkes UWL. We demonstrate that the beam coverage is feasible and 30-hr observations are required for at least one detection.
DOI: 10.6084/m9.figshare.14067122.v1
title: Social Media data for exploring the association between Cannabis use and Depression

description: The tweets from the time period of January 2017 to February 2019 are collected from Twitter using Drug Abuse Ontology (DAO) terms related to Cannabis and depression lexicon. A sample of 9888 tweets is manually annotated by domain experts and research students under the supervision of domain experts. The domain experts who are co-authors of this data are substance use epidemiologists with experience in Interventions, Treatment, and Addictions Research.<br>The annotation scheme has the following coding:<br>1. Treat: Cannabis is used to help/treat/cure depression.2. Cause: Cannabis causes depression or makes symptoms worse.3. Others: Implies other types of relationships, or too ambiguous/unclear to interpret. 4. Addiction: Lack of access to cannabis leads to depression, showing potential symptoms of addiction.5. Ambiguous: If word related to weed/cannabis or other cannabis products like dabs or edibles is missing or if the mention of depression-related words is missing.<br>We will continue to add and manage the dataset with new annotations and versions using machine learning techniques like weak supervision and transfer learning. For core computer scientists, this dataset can be useful while working on NLP problems like Relation extraction, Entity disambiguation, Relation prediction, etc. For interdisciplinary experts, this social media dataset can be explored to understand the association between cannabis and depression. <br>We acknowledge the contribution of Jason Roden and Melissa Wahl from Wright State University for participating in the coding under the supervision of domain experts. This project is sponsored by the National Institute on Drug Abuse (NIDA) Grant No. 5R01DA039454-02 to the Ohio Center of Excellence in Knowledge-enabled Computing (Kno.e.sis) and the Center for Interventions, Treatment and Addictions Research (CITAR) titled: Trending: Social media analysis to monitor cannabis and synthetic cannabinoid use. Any opinions, findings, conclusions or recommendations expressed in this material are those of the investigator(s) and do not necessarily reflect the views of the National Institutes of Health.
DOI: 10.5517/ccdc.csd.cc21dgmk
title: CCDC 1888818: Experimental Crystal Structure Determination

description: Related Article: Sisi Wang, Zhaoli Wang, Hu Gao, Liang Jiang, Hui Liu, Fan Wu, Yue Zhao, Kin Shing Chan, Zhen Shen|2021|Chem.Commun.|57|1758|doi:10.1039/D0CC08163A
DOI: 10.5517/ccdc.csd.cc21dgnl
title: CCDC 1888819: Experimental Crystal Structure Determination

description: Related Article: Sisi Wang, Zhaoli Wang, Hu Gao, Liang Jiang, Hui Liu, Fan Wu, Yue Zhao, Kin Shing Chan, Zhen Shen|2021|Chem.Commun.|57|1758|doi:10.1039/D0CC08163A
DOI: 10.5517/ccdc.csd.cc24507l
title: CCDC 1971018: Experimental Crystal Structure Determination

description: Related Article: Qiu-Qi Mu, Yi-Xue Nie, Hang Li, Xing-Feng Bai, Xue-Wei Liu, Zheng Xu, Li-Wen Xu|2021|Chem.Commun.|57|1778|doi:10.1039/D0CC07218D
DOI: 10.5517/ccdc.csd.cc24fvdv
title: CCDC 1979517: Experimental Crystal Structure Determination

description: Related Article: D. Basavaraja, M. S. Ajay Krishna, Jagadeesh Krishnan, C. S. Athira, R. R. Amrutha, Eringathodi Suresh, Sasidhar B. Somappa|2021|Chem.Commun.|57|1746|doi:10.1039/D0CC07715A
DOI: 10.5517/ccdc.csd.cc24fyzj
title: CCDC 1979628: Experimental Crystal Structure Determination

description: Related Article: D. Basavaraja, M. S. Ajay Krishna, Jagadeesh Krishnan, C. S. Athira, R. R. Amrutha, Eringathodi Suresh, Sasidhar B. Somappa|2021|Chem.Commun.|57|1746|doi:10.1039/D0CC07715A
DOI: 10.5517/ccdc.csd.cc24vm1p
title: CCDC 1991782: Experimental Crystal Structure Determination

description: Related Article: S. A. Amali S. Subasinghe, Jonathan Romero, Cassandra L. Ward, Matthew D. Bailey, Donna R. Zehner, Prakrut J. Mehta, Fabio Carniato, Mauro Botta, Jason T. Yustein, Robia G. Pautler, Matthew J. Allen|2021|Chem.Commun.|57|1770|doi:10.1039/D0CC06400A
DOI: 10.5517/ccdc.csd.cc24vm2q
title: CCDC 1991783: Experimental Crystal Structure Determination

description: Related Article: S. A. Amali S. Subasinghe, Jonathan Romero, Cassandra L. Ward, Matthew D. Bailey, Donna R. Zehner, Prakrut J. Mehta, Fabio Carniato, Mauro Botta, Jason T. Yustein, Robia G. Pautler, Matthew J. Allen|2021|Chem.Commun.|57|1770|doi:10.1039/D0CC06400A
DOI: 10.5517/ccdc.csd.cc25mn7q
title: CCDC 2014883: Experimental Crystal Structure Determination

description: Related Article: Hui-Chun Wu, Chen Wang, Ying-Han Chen, Yan-Kai Liu|2021|Chem.Commun.|57|1762|doi:10.1039/D0CC07761E
DOI: 10.5517/ccdc.csd.cc2698tm
title: CCDC 2034710: Experimental Crystal Structure Determination

description: Related Article: Huiying Mu, Koji Miki, Takuya Kubo, Koji Otsuka, Kouichi Ohe|2021|Chem.Commun.|57|1818|doi:10.1039/D0CC08160D
DOI: 10.5517/ccdc.csd.cc26pxjc
title: CCDC 2046853: Experimental Crystal Structure Determination

description: Related Article: Sisi Wang, Zhaoli Wang, Hu Gao, Liang Jiang, Hui Liu, Fan Wu, Yue Zhao, Kin Shing Chan, Zhen Shen|2021|Chem.Commun.|57|1758|doi:10.1039/D0CC08163A
DOI: 10.5517/ccdc.csd.cc26pxkd
title: CCDC 2046854: Experimental Crystal Structure Determination

description: Related Article: Sisi Wang, Zhaoli Wang, Hu Gao, Liang Jiang, Hui Liu, Fan Wu, Yue Zhao, Kin Shing Chan, Zhen Shen|2021|Chem.Commun.|57|1758|doi:10.1039/D0CC08163A
DOI: 10.5517/ccdc.csd.cc26pxlf
title: CCDC 2046855: Experimental Crystal Structure Determination

description: Related Article: Sisi Wang, Zhaoli Wang, Hu Gao, Liang Jiang, Hui Liu, Fan Wu, Yue Zhao, Kin Shing Chan, Zhen Shen|2021|Chem.Commun.|57|1758|doi:10.1039/D0CC08163A
DOI: 10.5281/zenodo.4552842
title: Observations of a subglacial discharge plume, Bowdoin Glacier, Northwest Greenland, July 2017

description: Subsurface measurements in Bowdoin Fjord, including continuous time-series from the calving front of Bowdoin Glacier and CTD in the fjord (July 2017). Meteorological measurements at Qaanaaq. Temperature and water-pressure measurements in the ice-dammed lake.
DOI: 10.5281/zenodo.4552841
title: Observations of a subglacial discharge plume, Bowdoin Glacier, Northwest Greenland, July 2017

description: Subsurface measurements in Bowdoin Fjord, including continuous time-series from the calving front of Bowdoin Glacier and CTD in the fjord (July 2017). Meteorological measurements at Qaanaaq. Temperature and water-pressure measurements in the ice-dammed lake.
DOI: 10.5517/ccdc.csd.cc1zks4g
title: CCDC 1834336: Experimental Crystal Structure Determination

description: Related Article: Haleshappa D, Raghavendra Bairy, Jayarama A, Ching Kheng Quah, Huey Chong Kwong, Parutagouda Shankaragouda Patil|2021|J.Mol.Struct.|1232|130053|doi:10.1016/j.molstruc.2021.130053
DOI: 10.5517/ccdc.csd.cc20kp4f
title: CCDC 1864034: Experimental Crystal Structure Determination

description: Related Article: Norasteh Rashidi, Mohammad Jaafar Soltanian Fard, Payam Hayati, Jan Janczak, Fatemeh Yazdian, Shamila Rouhani, Titus A.M. Msagati|2021|J.Mol.Struct.|1231|129947|doi:10.1016/j.molstruc.2021.129947
DOI: 10.5517/ccdc.csd.cc22g1tf
title: CCDC 1920134: Experimental Crystal Structure Determination

description: Related Article: Qi-Liang Yang, Hong-Wei Jia, Ying Liu, Yi-Kang Xing, Rui-Cong Ma, Man-Man Wang, Gui-Rong Qu, Tian-Sheng Mei, Hai-Ming Guo|2021|Org.Lett.|23|1209|doi:10.1021/acs.orglett.0c04168
DOI: 10.5517/ccdc.csd.cc22z7t4
title: CCDC 1935696: Experimental Crystal Structure Determination

description: Related Article: Yonghyeon Baek, Kiun Cheong, Dongwook Kim, Phil Ho Lee|2021|Org.Lett.|23|1188|doi:10.1021/acs.orglett.0c04086
DOI: 10.5517/ccdc.csd.cc23lmjw
title: CCDC 1954318: Experimental Crystal Structure Determination

description: Related Article: Chun-Lan Xie, Qingmei Liu, Zhi-Hui He, Ying-Bao Gai, Zheng-Biao Zou, Zong-Ze Shao, Guang-Ming Liu, Hai-Feng Chen, Xian-Wen Yang|2021|Bioorg.Chem.|108|104671|doi:10.1016/j.bioorg.2021.104671
DOI: 10.5517/ccdc.csd.cc243jb4
title: CCDC 1969595: Experimental Crystal Structure Determination

description: Related Article: Fang Lin, Hao Wang, Haoran Lin, Wei Liu, Jing Li|2021|Chem.Commun.|57|1754|doi:10.1039/D0CC07392J
DOI: 10.5517/ccdc.csd.cc24k43z
title: CCDC 1982670: Experimental Crystal Structure Determination

description: Related Article: Pei-Yuan Yang, Peng Zhao, Ming Bai, Xiao-Qi Yu, Hui Ren, Qing-Bo Liu, Bin Lin, Shao-Jiang Song, Xiao-Xiao Huang|2021|Phytochemistry|184|112675|doi:10.1016/j.phytochem.2021.112675
DOI: 10.5517/ccdc.csd.cc24k4lg
title: CCDC 1982685: Experimental Crystal Structure Determination

description: Related Article: Pei-Yuan Yang, Peng Zhao, Ming Bai, Xiao-Qi Yu, Hui Ren, Qing-Bo Liu, Bin Lin, Shao-Jiang Song, Xiao-Xiao Huang|2021|Phytochemistry|184|112675|doi:10.1016/j.phytochem.2021.112675
DOI: 10.6084/m9.figshare.14067401
title: supplementary_table_S3.xlsx

description: General linear model experiment data. Tabs indicate the performance metrics and the results from a logit regression of different sequence metrics on the classification of candidate genetic markers on a "Pass" or "Fail" quality score metric.
DOI: 10.6084/m9.figshare.14067401.v1
title: supplementary_table_S3.xlsx

description: General linear model experiment data. Tabs indicate the performance metrics and the results from a logit regression of different sequence metrics on the classification of candidate genetic markers on a "Pass" or "Fail" quality score metric.
DOI: 10.5517/ccdc.csd.cc25f8mj
title: CCDC 2008757: Experimental Crystal Structure Determination

description: Related Article: Yonghyeon Baek, Kiun Cheong, Dongwook Kim, Phil Ho Lee|2021|Org.Lett.|23|1188|doi:10.1021/acs.orglett.0c04086
DOI: 10.5517/ccdc.csd.cc25fvfx
title: CCDC 2009309: Experimental Crystal Structure Determination

description: Related Article: Yonghyeon Baek, Kiun Cheong, Dongwook Kim, Phil Ho Lee|2021|Org.Lett.|23|1188|doi:10.1021/acs.orglett.0c04086
DOI: 10.5517/ccdc.csd.cc25k834
title: CCDC 2012585: Experimental Crystal Structure Determination

description: Related Article: Chuan-Chuan Wang, Ya-Li Qu, Xue-Hua Liu, Zhi-Wei Ma, Bo Yang, Zhi-Jing Liu, Xiao-Pei Chen, Ya-Jing Chen|2021|J.Org.Chem.|86|3546|doi:10.1021/acs.joc.0c02932
DOI: 10.5517/ccdc.csd.cc25k845
title: CCDC 2012586: Experimental Crystal Structure Determination

description: Related Article: Chuan-Chuan Wang, Ya-Li Qu, Xue-Hua Liu, Zhi-Wei Ma, Bo Yang, Zhi-Jing Liu, Xiao-Pei Chen, Ya-Jing Chen|2021|J.Org.Chem.|86|3546|doi:10.1021/acs.joc.0c02932
DOI: 10.5517/ccdc.csd.cc25lk4h
title: CCDC 2013826: Experimental Crystal Structure Determination

description: Related Article: Yonghyeon Baek, Kiun Cheong, Dongwook Kim, Phil Ho Lee|2021|Org.Lett.|23|1188|doi:10.1021/acs.orglett.0c04086
DOI: 10.5517/ccdc.csd.cc25m01w
title: CCDC 2014257: Experimental Crystal Structure Determination

description: Related Article: Qi-Liang Yang, Hong-Wei Jia, Ying Liu, Yi-Kang Xing, Rui-Cong Ma, Man-Man Wang, Gui-Rong Qu, Tian-Sheng Mei, Hai-Ming Guo|2021|Org.Lett.|23|1209|doi:10.1021/acs.orglett.0c04168
DOI: 10.5517/ccdc.csd.cc25m03y
title: CCDC 2014259: Experimental Crystal Structure Determination

description: Related Article: Qi-Liang Yang, Hong-Wei Jia, Ying Liu, Yi-Kang Xing, Rui-Cong Ma, Man-Man Wang, Gui-Rong Qu, Tian-Sheng Mei, Hai-Ming Guo|2021|Org.Lett.|23|1209|doi:10.1021/acs.orglett.0c04168
DOI: 10.5517/ccdc.csd.cc25m0ys
title: CCDC 2014285: Experimental Crystal Structure Determination

description: Related Article: Qi-Liang Yang, Hong-Wei Jia, Ying Liu, Yi-Kang Xing, Rui-Cong Ma, Man-Man Wang, Gui-Rong Qu, Tian-Sheng Mei, Hai-Ming Guo|2021|Org.Lett.|23|1209|doi:10.1021/acs.orglett.0c04168
DOI: 10.5517/ccdc.csd.cc25rdv6
title: CCDC 2018498: Experimental Crystal Structure Determination

description: Related Article: Nur Husnina Nasaruddin, Shahrul Nizam Ahmad, Siti Syaida Sirat, Tan Kong Wai, Nurul Aili Zakaria, Hadariah Bahron|2021|J.Mol.Struct.|1232|130066|doi:10.1016/j.molstruc.2021.130066
DOI: 10.5517/ccdc.csd.cc25sh5n
title: CCDC 2019531: Experimental Crystal Structure Determination

description: Related Article: Tapas R. Pradhan, Mukti Paudel, Jordan L. Harper, Paul Ha-Yeon Cheong, Jin Kyoon Park|2021|Org.Lett.|23|1427|doi:10.1021/acs.orglett.1c00103
DOI: 10.5517/ccdc.csd.cc25x1v0
title: CCDC 2022962: Experimental Crystal Structure Determination

description: Related Article: Leila Heidari, Mitra Ghassemzadeh, Dieter Fenske, Olaf Fuhr, Farshid Mohsenzadeh, Volodymyr Bon|2021|J.Solid State Chem.|296|122011|doi:10.1016/j.jssc.2021.122011
DOI: 10.5517/ccdc.csd.cc25zt00
title: CCDC 2025602: Experimental Crystal Structure Determination

description: Related Article: Tsuyoshi A. Kohlgruber, Daniel E. Felton, Samuel N. Perry, Allen G. Oliver, Peter C. Burns|2021|Cryst.Growth Des.|21|861|doi:10.1021/acs.cgd.0c01198