cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/zjd58fyk5b.1
title: Efficacy of Targeted Education In Reducing Topical Steroid Phobia, A Randomised Clinical Trial

description: Introduction and objectives: Fear of side effects of corticosteroids is common in dermatology and results in medication non-adherence. The objective of this trial was to study the efficacy of targeted education in reducing topical steroid phobia. Methods: In this double-blinded, randomized controlled trial, participants in the intervention arm were presented with an educational video and patient information leaflet targeting common misconceptions of topical corticosteroids. Steroid phobia was assessed with the TOPICOP© scale, medication adherence with the ECOB score, and quality of life with the DLQI. Results: 275 patients were randomised. Mean (SD) TOPICOP© score in the intervention arm decreased (improved) from 41.9 (SD,17.4) to 37.1 (SD,20.0) and 33.8 (SD,19.0) at 1 month and 3 months, respectively with the reduction arising from the knowledge domain but not the fears and behaviours domain. This remained statistically significant after adjusting for demographic confounding with an expected reduction of 4.22 points (p=0.031). After accounting for demographic factors, there was no statistical difference in medication adherence and quality of life. Conclusions and Relevance: Targeted education at a single time point improved the TOPICOP© score primarily in the knowledge domain but not in the fear domain. Trial registration number: ClinicalTrials.gov (Identifier: NCT03658252)
DOI: 10.17632/s354fkt6fp.1
title: Data processing for fennel protein characterization by Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR-MS)

description: An untargeted shot-gun approach is described for the ultra-high-resolution analysis of fennel proteins by Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR-MS) combined with a home-made Matlab search algorithm. The first step of the proposed bioinformatic strategy was the development of a custom-made fennel protein database, starting from the well-known, on-line available, protein NCBI database, under Foeniculum Vulgare organism, consisting of 231 total proteins. Partial and redundant forms of proteins, repeatedly included in the official NCBI database under different codes, were removed. In the final custom-made database, in addition to the 92 fennel specific non-redundant proteins, 10 proteins belonging to recognized allergenic sources associated with the spice-mugwort-allergy syndrome (celery, carrot, parsley, birch, and mugwort) were also included. The second step was the in-silico enzymatic digestion, performed on all the 102 proteins, to obtain a theoretical list of m/z dataset of tryptic peptides. The Matlab processing data was the third and crucial step, necessary to search for in-silico mass calculated peptide sequences in the high-resolution ICR mass spectra of the digested fennel extract. The final step was based on database searching in Peptide Mass Fingerprint (PMF) mode by using the matched m/z values as input data. The PMF search results confirmed the presence of 70 proteins (61 fennel specific and 9 allergenic proteins) inside the fennel extract.
DOI: 10.17632/tv3kf72yzd.1
title: PERK signaling for PPCM original dataset

description: Peripartum cardiomyopathy (PPCM) is a life-threatening heart failure in the peripartum period. Multiple signaling pathways, such as Stat3 and Akt signaling, and various hormones, such as prolactin (PRL) are involved with the pathogenesis. Interactions among them remain unraveled. Therefore, this study aimed to evaluate the contribution of PERK for them. In vivo, cardiomyocyte-specific PERK homogenous knockout (CM-KO) mice showed PPCM phenotypes after consecutive deliveries. Downregulation of UPR or JAK/Stat signaling, and upregulation of necroptosis were observed in the hearts of the CM-KO mice. Furthermore, we treated the CM-KO mice with bromocriptine (BCR), reducing the production of PRL. BCR improved postpartum cardiac dysfunction in CM-KO mice, suppressing necroptosis. Next, we treated neonate rat cardiomyocytes with 23k PRL recombinant protein in vitro. 23k PRL upregulated the expression of Ppif, promoting oxidative stress-induced necroptosis. These results showed that peripartum PERK deletion modulated these interactions.
DOI: 10.17632/ddkwcmsb4w.1
title: Data for paper on superelliptical voids in arbitrary tessellations

description: Data used to generate the results and the various plots presented in the paper
DOI: 10.17632/h5pcn99zw4.3
title: Electronic nose dataset for COPD detection from smokers and healthy people through exhaled breath analysis

description: This dataset is related to the research paper “Wireless electronic smell system for the detection of diseases through the exhaled breath” published in chemical engineering transactions journal (available online from October 1, 2018, https://doi.org/10.3303/cet1868066), and the data paper " Electronic nose dataset for COPD detection from smokers and healthy people through exhaled breath analysis " submitted to Data in Brief journal. For more details read the mentioned articles. The data were acquired with a sampling rate of 500 samples / second and a resolution of the ADC of 24 bits, obtaining measurements of exhaled breath with a length of 4000 data points per sensor through the matrix of 8 sensors or variables (SP-3, MQ-3, TGS 822, MQ-138, MQ-137, TGS 813, TGS-800, MQ-135). In each of the measurements of the In three groups analyzed, two measurements were taken per person with the purpose to obtain a correct measurement gathering and also correlate the exhaled breath measurements of the same person (repeatability). That is the reason why a total of 78 samples were obtained (40 from COPD, 20 from control, 8 from smokers, and 10 from the air. The database is organized in three files COPD, TABAC, CONTROL, and AIR in .txt format; which contain the measurements in voltage units and show the characteristic response of a MOS type sensor in the presence of a gas. Additionally, a text file is attached which comprises data such as gender, age, and COPD severity level (estimated) from each person and other relevant data.
DOI: 10.17632/nzgxjdtzx4.1
title: Appendix

description: Appendix of Changing Spectrum of suspected drugs of epidermal necrolysis: a WHO pharmacovigilance database analysis from 1997 to 2020 (#JAAD-D-20-03216R2)
DOI: 10.25390/caryinstitute.11801052.v12
title: Cary Institute Environmental Monitoring Program Current Year Data 2020

description: The Cary Institute of Ecosystem Studies Environmental Monitoring Program is a long-term data collection program designed to understand how the environment changes over time. The program includes monitoring of climate including temperature and precipitation, as well as variables related to air pollution, such as acid deposition and ozone, and water pollution and other streamwater chemistry. Our solar radiation monitoring includes diffuse and global photosynthetically active radiation (PAR), diffuse and global shortwave radiation, net radiation and UV. Long-term monitoring of solar radiation provides us with an understanding of atmospheric energy dynamics, which can affect natural and human systems. The Cary Institute of Ecosystem Studies, Environmental Monitoring Program furnishes data under the following conditions: The data have received quality assurance scrutiny by our program, and, although we are confident of the accuracy of these data, Cary Institute will not be held liable for errors in these data. Data are subject to change resulting from updates in data screening or models used. Data citation: The following is a standard citation for referencing data from the Cary Institute of Ecosystem Studies, Environmental Monitoring Program:<br>Cary Institute of Ecosystem Studies, Environmental Monitoring Program. 2018 (or current year). Cary Institute of Ecosystem Studies, Box AB, Millbrook, NY 12545, www.caryinstitute.org.<br>Those wishing to publish data from Cary Institute of Ecosystem Studies, Environmental Monitoring Program are encouraged to contact data manager Vicky Kelly, kellyv@caryinstitute.org.<br>For complete data for previous years and for complete metadata, please see appropriate items for the Cary Institute Environmental Monitoring Program at https://caryinstitute.figshare.com/
DOI: 10.5517/ccdc.csd.cc24vzdd
title: CCDC 1992134: Experimental Crystal Structure Determination

description: Related Article: Dongliang Shi, Xiaoping Yang, Yanan Ma, Mengyu Niu, Richard A. Jones|2020|Inorg.Chem.|59|14620|doi:10.1021/acs.inorgchem.0c02670
DOI: 10.5517/ccdc.csd.cc251cqb
title: CCDC 1997321: Experimental Crystal Structure Determination

description: Related Article: Sabrina Schwarzbich, Claudia Horstmann née Gruschka, Jasmin Simon, Lena Siebe, Alexander Moreth, Christiane Wiegand, Antonina Lavrentieva, Thomas Scheper, Anja Stammler, Hartmut Bögge, Gabriele Fischer von Mollard, Thorsten Glaser|2020|Inorg.Chem.|59|14464|doi:10.1021/acs.inorgchem.0c02255
DOI: 10.5517/ccdc.csd.cc251crc
title: CCDC 1997322: Experimental Crystal Structure Determination

description: Related Article: Sabrina Schwarzbich, Claudia Horstmann née Gruschka, Jasmin Simon, Lena Siebe, Alexander Moreth, Christiane Wiegand, Antonina Lavrentieva, Thomas Scheper, Anja Stammler, Hartmut Bögge, Gabriele Fischer von Mollard, Thorsten Glaser|2020|Inorg.Chem.|59|14464|doi:10.1021/acs.inorgchem.0c02255
DOI: 10.5517/ccdc.csd.cc252dd2
title: CCDC 1998303: Experimental Crystal Structure Determination

description: Related Article: Madeleine A. Ehweiner, Fabian Wiedemaier, Ferdinand Belaj, Nadia C. Mösch-Zanetti|2020|Inorg.Chem.|59|14577|doi:10.1021/acs.inorgchem.0c02412
DOI: 10.5517/ccdc.csd.cc252df3
title: CCDC 1998304: Experimental Crystal Structure Determination

description: Related Article: Madeleine A. Ehweiner, Fabian Wiedemaier, Ferdinand Belaj, Nadia C. Mösch-Zanetti|2020|Inorg.Chem.|59|14577|doi:10.1021/acs.inorgchem.0c02412
DOI: 10.5517/ccdc.csd.cc252dg4
title: CCDC 1998305: Experimental Crystal Structure Determination

description: Related Article: Madeleine A. Ehweiner, Fabian Wiedemaier, Ferdinand Belaj, Nadia C. Mösch-Zanetti|2020|Inorg.Chem.|59|14577|doi:10.1021/acs.inorgchem.0c02412
DOI: 10.5517/ccdc.csd.cc252dh5
title: CCDC 1998306: Experimental Crystal Structure Determination

description: Related Article: Madeleine A. Ehweiner, Fabian Wiedemaier, Ferdinand Belaj, Nadia C. Mösch-Zanetti|2020|Inorg.Chem.|59|14577|doi:10.1021/acs.inorgchem.0c02412
DOI: 10.5517/ccdc.csd.cc252dj6
title: CCDC 1998307: Experimental Crystal Structure Determination

description: Related Article: Madeleine A. Ehweiner, Fabian Wiedemaier, Ferdinand Belaj, Nadia C. Mösch-Zanetti|2020|Inorg.Chem.|59|14577|doi:10.1021/acs.inorgchem.0c02412
DOI: 10.5517/ccdc.csd.cc252dk7
title: CCDC 1998308: Experimental Crystal Structure Determination

description: Related Article: Madeleine A. Ehweiner, Fabian Wiedemaier, Ferdinand Belaj, Nadia C. Mösch-Zanetti|2020|Inorg.Chem.|59|14577|doi:10.1021/acs.inorgchem.0c02412
DOI: 10.5517/ccdc.csd.cc252dl8
title: CCDC 1998309: Experimental Crystal Structure Determination

description: Related Article: Madeleine A. Ehweiner, Fabian Wiedemaier, Ferdinand Belaj, Nadia C. Mösch-Zanetti|2020|Inorg.Chem.|59|14577|doi:10.1021/acs.inorgchem.0c02412
DOI: 10.5517/ccdc.csd.cc252dm9
title: CCDC 1998310: Experimental Crystal Structure Determination

description: Related Article: Madeleine A. Ehweiner, Fabian Wiedemaier, Ferdinand Belaj, Nadia C. Mösch-Zanetti|2020|Inorg.Chem.|59|14577|doi:10.1021/acs.inorgchem.0c02412
DOI: 10.5517/ccdc.csd.cc252dnb
title: CCDC 1998311: Experimental Crystal Structure Determination

description: Related Article: Madeleine A. Ehweiner, Fabian Wiedemaier, Ferdinand Belaj, Nadia C. Mösch-Zanetti|2020|Inorg.Chem.|59|14577|doi:10.1021/acs.inorgchem.0c02412
DOI: 10.5517/ccdc.csd.cc252dpc
title: CCDC 1998312: Experimental Crystal Structure Determination

description: Related Article: Madeleine A. Ehweiner, Fabian Wiedemaier, Ferdinand Belaj, Nadia C. Mösch-Zanetti|2020|Inorg.Chem.|59|14577|doi:10.1021/acs.inorgchem.0c02412
DOI: 10.5517/ccdc.csd.cc252dqd
title: CCDC 1998313: Experimental Crystal Structure Determination

description: Related Article: Madeleine A. Ehweiner, Fabian Wiedemaier, Ferdinand Belaj, Nadia C. Mösch-Zanetti|2020|Inorg.Chem.|59|14577|doi:10.1021/acs.inorgchem.0c02412
DOI: 10.5517/ccdc.csd.cc25990t
title: CCDC 2004925: Experimental Crystal Structure Determination

description: Related Article: Joanna Wojnarska, Marlena Gryl, Tomasz Seidler, Katarzyna M. Stadnicka|2020|Cryst.Growth Des.|20|6535|doi:10.1021/acs.cgd.0c00743
DOI: 10.5517/ccdc.csd.cc25991v
title: CCDC 2004926: Experimental Crystal Structure Determination

description: Related Article: Joanna Wojnarska, Marlena Gryl, Tomasz Seidler, Katarzyna M. Stadnicka|2020|Cryst.Growth Des.|20|6535|doi:10.1021/acs.cgd.0c00743
DOI: 10.5517/ccdc.csd.cc25992w
title: CCDC 2004927: Experimental Crystal Structure Determination

description: Related Article: Joanna Wojnarska, Marlena Gryl, Tomasz Seidler, Katarzyna M. Stadnicka|2020|Cryst.Growth Des.|20|6535|doi:10.1021/acs.cgd.0c00743
DOI: 10.5281/zenodo.4242905
title: Movimiento Aéreo de Pasajeros

description: Los ficheros contienen una muestra del conjunto de datos creado como parte de la asignatura <em>Tipología y ciclo de vida de los datos</em> del Máster Universitario de Ciencia de Datos de la UOC. Los datos recogen los movimientos de pasajeros en los aeropuertos de españoles y se obtienen de la página web de estadísticas de tráfico aéreo de AENA, empresa pública española que gestiona los aeropuertos de interés general en España. Los datos se presentan en dos dataset, uno con formato de tabla ancha, respetando el formato que ofrece AENA y otro con formato de tabla larga para facilitar el análisis de los mismos. El código usado para crear los conjuntos de datos está disponible en el repositorio de Github https://github.com/msosvi/scraping_aena.
description: This dataset, "Movimiento Aéreo de Pasajeros" is made available under the Open Database License: http://opendatacommons.org/licenses/odbl/1.0/. Any rights in individual contents of the database are licensed under the Database Contents License: http://opendatacommons.org/licenses/dbcl/1.0/
DOI: 10.5281/zenodo.4242904
title: Movimiento Aéreo de Pasajeros

description: Los ficheros contienen una muestra del conjunto de datos creado como parte de la asignatura <em>Tipología y ciclo de vida de los datos</em> del Máster Universitario de Ciencia de Datos de la UOC. Los datos recogen los movimientos de pasajeros en los aeropuertos de españoles y se obtienen de la página web de estadísticas de tráfico aéreo de AENA, empresa pública española que gestiona los aeropuertos de interés general en España. Los datos se presentan en dos dataset, uno con formato de tabla ancha, respetando el formato que ofrece AENA y otro con formato de tabla larga para facilitar el análisis de los mismos. El código usado para crear los conjuntos de datos está disponible en el repositorio de Github https://github.com/msosvi/scraping_aena.
description: This dataset, "Movimiento Aéreo de Pasajeros" is made available under the Open Database License: http://opendatacommons.org/licenses/odbl/1.0/. Any rights in individual contents of the database are licensed under the Database Contents License: http://opendatacommons.org/licenses/dbcl/1.0/
DOI: 10.5281/zenodo.4037354
title: Raw data for "From Transparent Conduction to Coulomb Blockade at Fixed Hole Number"

description: This archive contains the raw data material for the manuscript [1] "From Transparent Conduction to Coulomb Blockade at Fixed Hole Number"<br> D. R. Schmid, P. L. Stiller, A. Dirnaichner, A. K. Hüttel<br> Physica Status Solidi B (2020), doi: 10.1002/pssb.202000253 In particular, you will find here preparatory plots made with Gnuplot [2], and the corresponding Gnuplot scripts the raw data files in Gnuplot format, i.e., tab-separated columns The raw data files (ending in .dat) contain comment lines where in each file the data columns are explained.<br> The data has been measured using Lab::Measurement [3,4]. The canonic download location for this archive is on Zenodo [5]. Changes compared to Version 1: Figure 1 has been re-worked, and the data files have been renamed according to the new panel numbering. The raw data for the new panel (c) has been included. The raw data of the former panel (b) has been moved to a subdirectory "old". [1] Physica Status Solidi B (2020), doi: 10.1002/pssb.202000253<br> [2] http://gnuplot.info/<br> [3] https://www.labmeasurement.de/<br> [4] Computer Physics Communications <strong>234</strong>, 216–222 (2019)<br> [5] doi:10.5281/zenodo.3780580
DOI: 10.5281/zenodo.3780580
title: Raw data for "From Transparent Conduction to Coulomb Blockade at Fixed Hole Number"

description: This archive contains the raw data material for the manuscript [1] "From Transparent Conduction to Coulomb Blockade at Fixed Hole Number"<br> D. R. Schmid, P. L. Stiller, A. Dirnaichner, A. K. Hüttel<br> Physica Status Solidi B (2020), doi: 10.1002/pssb.202000253 In particular, you will find here preparatory plots made with Gnuplot [2], and the corresponding Gnuplot scripts the raw data files in Gnuplot format, i.e., tab-separated columns The raw data files (ending in .dat) contain comment lines where in each file the data columns are explained.<br> The data has been measured using Lab::Measurement [3,4]. The canonic download location for this archive is on Zenodo [5]. Changes compared to Version 1: Figure 1 has been re-worked, and the data files have been renamed according to the new panel numbering. The raw data for the new panel (c) has been included. The raw data of the former panel (b) has been moved to a subdirectory "old". [1] Physica Status Solidi B (2020), doi: 10.1002/pssb.202000253<br> [2] http://gnuplot.info/<br> [3] https://www.labmeasurement.de/<br> [4] Computer Physics Communications <strong>234</strong>, 216–222 (2019)<br> [5] doi:10.5281/zenodo.3780580
DOI: 10.5281/zenodo.4242104
title: Dual-view oblique plane microscopy (dOPM)

description: Dual-view oblique plane microscopy (dOPM), View 1 and View 2 tiff stack volumes for: 200 nm TetraSpeck beads embedded in 1% agarose 100 nm TetraSpeck beads embedded in 1% agarose A fixed spheroid of WMs cells embedded in Matrigel and where Alexa Fluor™ 488 Phalloidin fluorescently labels actin The data is organised according to the figures they are related to in the following publication: Sparks. H, Dent. L,Bakal. C, Behrens. A, Salbreux. G, Dunsby. C, "Dual-view oblique plane microscopy (dOPM)," https://doi.org/10.1364/BOE.409781 (2020)
DOI: 10.5281/zenodo.4242103
title: Dual-view oblique plane microscopy (dOPM)

description: Dual-view oblique plane microscopy (dOPM), View 1 and View 2 tiff stack volumes for: 200 nm TetraSpeck beads embedded in 1% agarose 100 nm TetraSpeck beads embedded in 1% agarose A fixed spheroid of WMs cells embedded in Matrigel and where Alexa Fluor™ 488 Phalloidin fluorescently labels actin The data is organised according to the figures they are related to in the following publication: Sparks. H, Dent. L,Bakal. C, Behrens. A, Salbreux. G, Dunsby. C, "Dual-view oblique plane microscopy (dOPM)," https://doi.org/10.1364/BOE.409781 (2020)
DOI: 10.5281/zenodo.4242935
title: COVID19 - Clinical Trials

description: The objective of the project is to extract a set of clinical trials carried out for Covid-19 disease around the world in order to carry out statistical and data mining studies . The ClinicalTrials.gov website is a database of privately and publicly clinical trials conducted around the world. The URL of the project to extract the data is the GitHub repository.
DOI: 10.5281/zenodo.4242934
title: COVID19 - Clinical Trials

description: The objective of the project is to extract a set of clinical trials carried out for Covid-19 disease around the world in order to carry out statistical and data mining studies . The ClinicalTrials.gov website is a database of privately and publicly clinical trials conducted around the world. The URL of the project to extract the data is the GitHub repository.
DOI: 10.25345/c5c770
title: MassIVE MSV000086404 - Reassembling protein complexes after controlled disassembly by top-down mass spectrometry in native mode
title: The native top-down mass spectrometry (nTDMS) platform is being applied in structural biology and discovery proteomics with great success, as it provides three levels of information in a single experiment: the intact mass of a protein or complex, the masses of its subunits and non-covalent cofactors, and subunit fragment masses that capture the primary sequence and combinations of diverse post-translational modifications (PTMs). While the intact mass data are readily converted deconvoluted using well-known software options, the analysis of fragmentation data that result from a tandem MS experiment, essential for proteoform characterization, is not yet standardized. In this tutorial, we offer a decision-tree for the analysis of subunit fragmentation data that result from nTDMS experiments on protein complexes and on diverse bioassemblies. We include an overview of strategies for navigating this type of analysis, provide example data sets, and highlight software for the hypothesis-driven interrogation of fragment ions for localization of PTMs, metals, and cofactors on native proteoforms.
DOI: 10.5281/zenodo.4242886
title: HTR_Train_Set_JCRS_2020_5_27

description: HTR_Train_Set_JCRS_2020_5_27.zip<br>
DOI: 10.5281/zenodo.4160609
title: Analysing the Yeast Complexome - The Complex Portal rising to the challenge

description: Datasets of complexes and co-complexes used in the analysis for this paper: Analysing the Yeast Complexome - The Complex Portal rising to the challenge.
DOI: 10.5281/zenodo.4160608
title: Analysing the Yeast Complexome - The Complex Portal rising to the challenge

description: Datasets of complexes and co-complexes used in the analysis for this paper: Analysing the Yeast Complexome - The Complex Portal rising to the challenge.
DOI: 10.5517/ccdc.csd.cc1nn50h
title: CCDC 1538716: Experimental Crystal Structure Determination

description: Related Article: Mohammad A. Affan, Gabriele Schatte, Philip G. Jessop|2020|Inorg.Chem.|59|14275|doi:10.1021/acs.inorgchem.0c01401
DOI: 10.5517/ccdc.csd.cc1nn57q
title: CCDC 1538723: Experimental Crystal Structure Determination

description: Related Article: Mohammad A. Affan, Gabriele Schatte, Philip G. Jessop|2020|Inorg.Chem.|59|14275|doi:10.1021/acs.inorgchem.0c01401
DOI: 10.5517/ccdc.csd.cc23mfnv
title: CCDC 1955097: Experimental Crystal Structure Determination

description: Related Article: Xi Yuan, Xudong Wu, Fei Peng, Haijun Yang, Changjin Zhu, Hua Fu|2020|Chem.Commun.|56|12648|doi:10.1039/D0CC05432A
DOI: 10.5517/ccdc.csd.cc23qvvk
title: CCDC 1958389: Experimental Crystal Structure Determination

description: Related Article: Shaheen Siddiqui, Zeba N. Siddiqui|2020|Nanoscale Adv.|2|4639|doi:10.1039/D0NA00491J
DOI: 10.5517/ccdc.csd.cc25993x
title: CCDC 2004928: Experimental Crystal Structure Determination

description: Related Article: Joanna Wojnarska, Marlena Gryl, Tomasz Seidler, Katarzyna M. Stadnicka|2020|Cryst.Growth Des.|20|6535|doi:10.1021/acs.cgd.0c00743
DOI: 10.5517/ccdc.csd.cc2504r3
title: CCDC 1996144: Experimental Crystal Structure Determination

description: Related Article: Darren M. C. Ould, Jamie L. Carden, Rowan Page, Rebecca L. Melen|2020|Inorg.Chem.|59|14891|doi:10.1021/acs.inorgchem.0c01076
DOI: 10.5517/ccdc.csd.cc2504s4
title: CCDC 1996145: Experimental Crystal Structure Determination

description: Related Article: Darren M. C. Ould, Jamie L. Carden, Rowan Page, Rebecca L. Melen|2020|Inorg.Chem.|59|14891|doi:10.1021/acs.inorgchem.0c01076
DOI: 10.5517/ccdc.csd.cc23xh9v
title: CCDC 1963797: Experimental Crystal Structure Determination

description: Related Article: Nuno Reis Conceição, Oksana V. Nesterova, Cyril Rajnák, Roman Boča, Armando J. L. Pombeiro, M. Fátima C. Guedes da Silva, Dmytro S. Nesterov|2020|Dalton Trans.|49|13970|doi:10.1039/D0DT02652B