cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5257/oecd/labour/2020
title: Employment and Labour Market Statistics (ELMS) (2020 Edition)

description: The OECD Employment and Labour Market Statistics database includes a range of annual labour market statistics and indicators from 1960 broken down by sex and age as well as information about part-time and short-time workers, job tenure, hours worked, unemployment duration, trade union, employment protection legislation, minimum wages, labour market programmes for OECD countries and non-member economies.
DOI: 10.5519/qd.zfgj826m
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.26188/14141423
title: High-Reynolds-number boundary layer statistics - streamwise, spanwise and wall-normal velocity components

description: High-Reynolds-number boundary layer statistics of the streamwise, spanwise and wall-normal velocity components measured using cross-wire probes
DOI: 10.6084/m9.figshare.10292384.v1
title: Field nutrient data obtained in the Bohai Sea in June and November 2011, and January 2016.

description: The field surveys were conducted during 24–28 June 2011 (summer), 25–30 November 2011 (early winter), and 28–31<sup> </sup>January 2016 (mid-winter). At 13–23 grid stations, depth water samples were collected for nutrient analyses. Depth profiles of temperature and salinity (practical salinity scale of 1978) were determined with a calibrated conductivity-temperature-depth/pressure (CTD) recorder (SBE911+, Sea-Bird Co., USA) onboard R/V Dongfanghong 2. Water samples were collected at two or three depths using a rosette sampler fitted with 8 L or 12 L Niskin bottles, which were mounted with the CTD unit. The sea surface water samples were collected from a depth of 2–3 m, and the bottom water samples were collected from a depth of 2–3 m above the seabed. Water samples were filtered on board using clean 0.45 μm cellulose acetate membranes. All of the filtered samples were divided into three subsamples. One of the subsamples was frozen at –20°C and then analyzed for nitrate, nitrite and DIP in the laboratory. And trichloromethane (0.1% v/v) was added into other two of the subsamples which were stored at 4°C and then analyzed for ammonium and DSi in the laboratory. Nitrate and nitrite were measured by reducing nitrate to nitrite with a Cd column, and then determining nitrite using the pink azo dye spectrophotometric method. DIP, DSi and ammonium were measured based on standard phosphor-molybdenum blue (for DIP), silicon molybdenum blue (for DSi), and indophenol blue (for ammonium) spectrophotometric procedures. Nitrate, nitrite, DIP and DSi were determined using an AA3 Auto-Analyzer (Bran+Luebbe Co., Germany), while ammonium was measured using a self-made Tri-223 continuous Auto-Analyzer. Detection limits were 0.1 μmol L<sup>−1</sup> for nitrate, 0.04 μmol L<sup>−1</sup> for nitrite, 0.08 μmol L<sup>−1</sup> for DIP, 0.08 μmol L<sup>−1</sup> for DSi, and 0.5 μmol L<sup>−1</sup> for ammonium. Samples with high nutrient concentrations were properly diluted before determination. For data quality assurance, Reference Materials for Nutrient in Seawater from The General Environmental Technos Co., Ltd (http://www.kanso.co.jp/) were used during analyses, achieving a precision level of ±0.1 μmol L<sup>−1</sup> for most nutrient species other than ammonium.
DOI: 10.5517/ccdc.csd.ccs7jh0
title: CCDC 722222: Experimental Crystal Structure Determination

description: Related Article: S.V.John-Rajkumar,J.Hsieh,G.P.A.Yap,D.Rabinovich|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.ccs7jgz
title: CCDC 722221: Experimental Crystal Structure Determination

description: Related Article: S.V.John-Rajkumar,J.Hsieh,G.P.A.Yap,D.Rabinovich|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cctzypd
title: CCDC 774525: Experimental Crystal Structure Determination

description: Related Article: S.N.Knight,L.I.Lozano-Lewis,J.Barnhardt,K.Heredia,S.A.McLin,K.A.Kreisel,W.H.Monillas,G.P.A.Yap,D.Rabinovich|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cctzync
title: CCDC 774524: Experimental Crystal Structure Determination

description: Related Article: S.N.Knight,L.I.Lozano-Lewis,J.Barnhardt,K.Heredia,S.A.McLin,K.A.Kreisel,W.H.Monillas,G.P.A.Yap,D.Rabinovich|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cctzyl9
title: CCDC 774522: Experimental Crystal Structure Determination

description: Related Article: S.N.Knight,L.I.Lozano-Lewis,J.Barnhardt,K.Heredia,S.A.McLin,K.A.Kreisel,W.H.Monillas,G.P.A.Yap,D.Rabinovich|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cctzymb
title: CCDC 774523: Experimental Crystal Structure Determination

description: Related Article: S.N.Knight,L.I.Lozano-Lewis,J.Barnhardt,K.Heredia,S.A.McLin,K.A.Kreisel,W.H.Monillas,G.P.A.Yap,D.Rabinovich|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cctzyk8
title: CCDC 774521: Experimental Crystal Structure Determination

description: Related Article: S.N.Knight,L.I.Lozano-Lewis,J.Barnhardt,K.Heredia,S.A.McLin,K.A.Kreisel,W.H.Monillas,G.P.A.Yap,D.Rabinovich|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cctzyh6
title: CCDC 774519: Experimental Crystal Structure Determination

description: Related Article: S.N.Knight,L.I.Lozano-Lewis,J.Barnhardt,K.Heredia,S.A.McLin,K.A.Kreisel,W.H.Monillas,G.P.A.Yap,D.Rabinovich|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cctzyd3
title: CCDC 774516: Experimental Crystal Structure Determination

description: Related Article: S.N.Knight,L.I.Lozano-Lewis,J.Barnhardt,K.Heredia,S.A.McLin,K.A.Kreisel,W.H.Monillas,G.P.A.Yap,D.Rabinovich|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.ccz1km5
title: CCDC 895237: Experimental Crystal Structure Determination

description: Related Article: Jason P. Coyle, Eric R. Sirianni, Ilia Korobkov, Glenn P.A. Yap, Seán T. Barry|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc13fc52
title: CCDC 1025733: Experimental Crystal Structure Determination

description: Related Article: Peter Pallister, Julie Pallister, Huy Dao, Glenn Yap, Sean Barry|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc13fc63
title: CCDC 1025734: Experimental Crystal Structure Determination

description: Related Article: Peter Pallister, Julie Pallister, Huy Dao, Glenn Yap, Sean Barry|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc13fc74
title: CCDC 1025735: Experimental Crystal Structure Determination

description: Related Article: Peter Pallister, Julie Pallister, Huy Dao, Glenn Yap, Sean Barry|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc1kf2mp
title: CCDC 1442542: Experimental Crystal Structure Determination

description: Related Article: David J. Mihalcik, Mark A. Viktora, Xiuxian He, Juiche Hsieh, Glenn P. A. Yap, Lev N. Sakharov, Arnold L. Rheingold, James A. Golen, and Daniel Rabinovich|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc1kf2qs
title: CCDC 1442545: Experimental Crystal Structure Determination

description: Related Article: David J. Mihalcik, Mark A. Viktora, Xiuxian He, Juiche Hsieh, Glenn P. A. Yap, Lev N. Sakharov, Arnold L. Rheingold, James A. Golen, and Daniel Rabinovich|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc1kf2rt
title: CCDC 1442546: Experimental Crystal Structure Determination

description: Related Article: David J. Mihalcik, Mark A. Viktora, Xiuxian He, Juiche Hsieh, Glenn P. A. Yap, Lev N. Sakharov, Arnold L. Rheingold, James A. Golen, and Daniel Rabinovich|2020|CSD Communication|||
DOI: 10.25678/0001fa
title: Data for: Lake mixing regime selects methane-oxidation kinetics of the methanotroph assemblage

description: In freshwater lakes, large amounts of methane are formed in anoxic sediments. Methane-oxidizing bacteria effectively convert this potent greenhouse gas into biomass and carbon dioxide. These bacteria are present throughout the water column where methane concentrations can range from nanomolar to millimolar concentrations. In this study, we tested the hypothesis that methanotroph assemblages in a seasonally stratified lake exhibit contrasting methane oxidation kinetics in the methane-rich hypolimnion compared to the epilimnion with low methane concentrations. We further examined the change of methane oxidation kinetics during autumn overturn as more methane becomes available in the epilimnion. Together with the change of methane oxidation kinetics, we investigated changes in the transcription of genes encoding the methane monooxygenase (MMO), which is the enzyme responsible for the first step of methane oxidation. We show that the half-saturation constant (Km) obtained from laboratory experiments with the natural microbial community differed by two orders of magnitude between epi- and hypolimnion during stable stratification. During lake overturn, however, the kinetic constants at the lake surface and in the deep-water converged along with a change of the methanotroph assemblage. Conventional particulate MMO seemed responsible for the methane-oxidation under different methane concentrations. Our results suggest that changing methane availability creates niches for methanotroph assemblages with well-adapted methane-oxidation kinetics. This rapid selection and succession of adapted lacustrine methanotroph assemblages seem to support that the reported high removal efficiency of more than 90% is maintained even under rapidly changing conditions during lake overturn. Consequently, only a small fraction of methane stored in the anoxic hypolimnion is emitted to the atmosphere.
DOI: 10.5519/qd.pv0xbpvw
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5281/zenodo.4569846
title: Data and code from the publication "Performance of open-path GasFinder3 devices for CH4 concentration measurements close to ambient levels."

description: This dataset contains R code and data from the publication "Performance of open-path GasFinder3 devices for CH4 concentration measurements close to ambient levels." published in AMT (Atmospheric Measurement Techniques).
DOI: 10.6084/m9.figshare.14152349.v1
title: Av extinction map

description: Av extinction map for S254-S258 star-forming region constructed from the UKIDSS data using NICEST method with FWHM = 1.0 arcmin.
DOI: 10.6084/m9.figshare.14152292
title: S255 HCO+(1-0) line data cube

description: The HCO+(1-0) FITS data cube for S254-S258 star formation region.
DOI: 10.6084/m9.figshare.14152292.v1
title: S255_HCO+(1-0).fits

description: The HCO+(1-0) FITS data cube for S254-S258 star formation region.
DOI: 10.6084/m9.figshare.14152265
title: S255 CS(2-1) line data cube

description: The FITS data cube of CS(2-1) line toward the S254-S258 region
DOI: 10.6084/m9.figshare.14152265.v1
title: S255 CS(2-1) line data cube

description: The FITS data cube of CS(2-1) line toward the S254-S258 region
DOI: 10.5519/qd.4olahyii
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5519/qd.e1bjxgtp
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.25399/unisadata.14152289.v1
title: S(H)ELVES

description: S(h)elves (2017) (fig 4) is an exhibition of three large installations that centers on people’s collections of everyday objects. It is presented as partial fulfillment of my Master’s Degree in Visual Art and is accompanied by the thesis titled Kabakov:loss, meaning and absence in collections. The three installations are based on myself, my husband (Danie van Zyl) and my father (Jan-Carel Herselman). Myautobiographical work takes the form of a column of densely stacked objects, while the works that relate to my husband and my father consist of two rooms which the viewer is invited to enter into. The entire exhibition is made up offound objects, since it is the nature of the objects that make up collections that are of interest to me.
DOI: 10.25399/unisadata.14152289
title: S(H)ELVES

description: S(h)elves (2017) (fig 4) is an exhibition of three large installations that centers on people’s collections of everyday objects. It is presented as partial fulfillment of my Master’s Degree in Visual Art and is accompanied by the thesis titled Kabakov:loss, meaning and absence in collections. The three installations are based on myself, my husband (Danie van Zyl) and my father (Jan-Carel Herselman). Myautobiographical work takes the form of a column of densely stacked objects, while the works that relate to my husband and my father consist of two rooms which the viewer is invited to enter into. The entire exhibition is made up offound objects, since it is the nature of the objects that make up collections that are of interest to me.
DOI: 10.18112/openneuro.ds003552.v1.1.0
title: Prediction Error
DOI: 10.5281/zenodo.4575086
title: Butterfly: EVALPBMC_SW dataset

description: This dataset is PBMC 1, Seq-well, from the publication Ding J, Adiconis X, Simmons SK, Kowalczyk MS, Hession CC, Marjanovic ND, et al. Systematic comparison of single-cell and single-nucleus RNA-sequencing methods. Nature Biotechnology. 2020 Apr 6;1–10. This is distributed according to the Creative Commons 4.0 license. The files are also available in human cell atlas. The reason we put the data here is because we want to be able to download the data from Google Colab, and we found no way to do that in the HCA DCP.
DOI: 10.5281/zenodo.4575085
title: Butterfly: EVALPBMC_SW dataset

description: This dataset is PBMC 1, Seq-well, from the publication Ding J, Adiconis X, Simmons SK, Kowalczyk MS, Hession CC, Marjanovic ND, et al. Systematic comparison of single-cell and single-nucleus RNA-sequencing methods. Nature Biotechnology. 2020 Apr 6;1–10. This is distributed according to the Creative Commons 4.0 license. The files are also available in human cell atlas. The reason we put the data here is because we want to be able to download the data from Google Colab, and we found no way to do that in the HCA DCP.
DOI: 10.6084/m9.figshare.14152442
title: Supplementary Material for: Cardiopulmonary Exercise Testing in Combined Pulmonary Fibrosis and Emphysema

description: <b><i>Background:</i></b> Combined pulmonary fibrosis and emphysema (CPFE) is a distinct entity among fibrosing lung diseases with a high risk for lung cancer and pulmonary hypertension (PH). Notably, concomitant PH was identified as a negative prognostic indicator that could help with early diagnosis to provide important information regarding prognosis. <b><i>Objectives:</i></b> The current study aimed to determine whether cardiopulmonary exercise testing (CPET) can be helpful in differentiating patients having CPFE with and without PH. <b><i>Methods:</i></b> Patients diagnosed with CPFE in 2 German cities (Hemer and Greifswald) over a period of 10 years were included herein. CPET parameters, such as peak oxygen uptake (peak VO<sub>2</sub>), functional dead space ventilation (<i>V</i><sub>Df</sub>/<i>V</i><sub>T</sub>), alveolar-arterial oxygen difference (AaDO<sub>2</sub>), arterial-end-tidal CO<sub>2</sub> difference [P(a-ET)CO<sub>2</sub>] at peak exercise, and the minute ventilation-carbon dioxide production relationship (VE/VCO<sub>2</sub> slope), were compared between patients with and without PH. <b><i>Results:</i></b> A total of 41 patients with CPET (22 with PH, 19 without PH) were analyzed. Right heart catheterization was performed in 15 of 41 patients without clinically relevant complications. Significant differences in peak VO<sub>2</sub> (861 ± 190 vs. 1,397 ± 439 mL), VO<sub>2</sub>/kg body weight/min (10.8 ± 2.6 vs. 17.4 ± 5.2 mL), peak AaDO<sub>2</sub> (72.3 ± 7.3 vs. 46.3 ± 14.2 mm Hg), VE/VCO<sub>2</sub> slope (70.1 ± 31.5 vs. 39.6 ± 9.6), and peak P(a-ET)tCO<sub>2</sub> (13.9 ± 3.5 vs. 8.1 ± 3.6 mm Hg) were observed between patients with and without PH (<i>p</i> &lt; 0.001). Patients with PH had significantly higher <i>V</i><sub>Df</sub>/<i>V</i><sub>T</sub> at rest, <i>V</i><sub>T1</sub>, and at peak exercise (65.6 ± 16.8% vs. 47.2 ± 11.6%; <i>p</i> &lt; 0.001) than those without PH. A cutoff value of 44 for VE/VCO<sub>2</sub> slope had a sensitivity and specificity of 94.7 and 72.7%, while a cutoff value of 11 mm Hg for P(a-ET)CO<sub>2</sub> in combination with peak AaDO<sub>2</sub> &gt;60 mm Hg had a specificity and sensitivity of 95.5 and 84.2%, respectively. Combining peak AaDO<sub>2</sub> &gt;60 mm Hg with peak VO<sub>2</sub>/body weight/min &lt;16.5 mL/kg/min provided a sensitivity and specificity of 100 and 95.5%, respectively. <b><i>Conclusion:</i></b> This study provided initial data on CPET among patients having CPFE with and without PH. CPET can help noninvasively detect PH and identify patients at risk. AaDO<sub>2</sub> at peak exercise, VE/VCO<sub>2</sub> slope, peak P(a-ET)CO<sub>2</sub>, and peak VO<sub>2</sub> were parameters that had high sensitivity and, when combined, high specificity.
DOI: 10.21227/b96a-ay81
title: Pulses from scintillator detector and code to synthetize new pulses

description: To address the possible lack or total absence of pulses from particle detectors during the development of its associate electronics, we propose a model that can generate them without losing the features of the real ones. This model is based on artificial neural networks, namely Generative Adversarial Networks (GAN). This dataset contains the pulses of Na-22 and Cs-137 and the Python code to generate new synthetic pulses.
DOI: 10.25550/1-ykn2
title: Runx2 plays a critical role in tooth root development

description: The gene Runt-related transcription factor2 (Runx2) is a principal regulator of bone and cartilage differentiation, proliferation, and maintenance. Runx2 is essential for mesenchymal stem cells (MSCs) to differentiate into osteoblasts. In mouse embryos, Runx2 exerts an influence in the alveolar remodeling process during tooth eruption. RUNX2 is expressed in a subpopulation of GLI1+ root progenitor cells, and that loss of Runx2 in these GLI1+ progenitor cells and their progeny results in root developmental defects. In vivo evidence shows that Runx2 plays a crucial role in tooth root development and in regulating the differentiation of root progenitor cells.
DOI: 10.6084/m9.figshare.14152325
title: S255 Herschel dust temperature map

description: The dust temperature map obtained from the fit to the Herschel 160-500 micron data.
DOI: 10.6084/m9.figshare.14152325.v1
title: S255 Herschel dust temperature map

description: The dust temperature map obtained from the fit to the Herschel 160-500 micron data.
DOI: 10.6084/m9.figshare.14152313
title: S255 Herschel column density map

description: The column density map obtained from the fit to the Herschel 160-500 micron data.
DOI: 10.6084/m9.figshare.14152313.v1
title: S255 Herschel column density map

description: The column density map obtained from the fit to the Herschel 160-500 micron data.
DOI: 10.6084/m9.figshare.14152349
title: S255 NICEST extinction map

description: The extinction map for S254-S258 star-forming region constructed from the UKIDSS data using the NICEST method with FWHM = 1.0 arcmin.
DOI: 10.6084/m9.figshare.14152349.v3
title: S255 NICEST extinction map

description: The extinction map for S254-S258 star-forming region constructed from the UKIDSS data using the NICEST method with FWHM = 1.0 arcmin.
DOI: 10.6084/m9.figshare.14152349.v2
title: S255 NICEST extinction map

description: The extinction map for S254-S258 star-forming region constructed from the UKIDSS data using the NICEST method with FWHM = 1.0 arcmin.
DOI: 10.34740/kaggle/dsv/820558
title: Forex currencies
DOI: 10.17034/4a0965e1-05f0-4ad8-aed5-3fae7abb2ab3
title: Fine grained Vehicle Classification Dataset for YOLO

description: This is a dataset used to train a neural network This is an 8-class dataset for vehicle classification using YOLOv3. THe classes are Car, bus, van, 2-Axle Truck/HGV, 3-Axle Truck/HGV, 4-Axle Truck/HGV, 5-Axle Truck/HGV and 6-Axle Truck/HGV. There are also negative images taken from the COCO dataset. This dataset is linked to a related publication, as well as to a thesis - it formed the basis of a chapter of the thesis.
DOI: 10.6084/m9.figshare.11292284
title: Detecting spatiotemporal extents of traffic congestion: A density-based moving object clustering approach

description: This dataset contains code and data of our papper 'Detecting spatiotemporal extents of traffic congestion: A density-based moving object clustering approach'. (1) <i>wuhn_gps7days.rar</i> is original GPS data. (2) <i>Experimental comparisons.zip</i> is the code and data in Section 4.3 Experimental comparisons with other methods of our paper. This file focuses on quantitative evaluation of different methods based on simulated trajectory data generated by VISSIM. (3) <i>the proposed method.zip</i> is the code and data in Section 4.4 and 4.5 of our paper. This file mainly offers the code of the proposed method to explore the congestions in Wuchang on 1<sup>st</sup> -6<sup>th</sup> May 2014 .<br><br>
DOI: 10.6084/m9.figshare.11292284.v4
title: code and data

description: This dataset contains code and data of our papper 'Detecting spatio-temporal extents of traffic congestion: A density-based moving object clustering approach'. (1) <i>wuhn_gps7days.rar</i> is original GPS data. (2) <i>Experimental comparisons.zip</i> is the code and data in Section 4.3 Experimental comparisons with other methods of our paper. This file focuses on quantitative evaluation of different methods based on simulated trajectory data generated by VISSIM. (3) <i>the proposed method.zip</i> is the code and data in Section 4.4 and 4.5 of our paper. This file mainly offers the code of the proposed method to explore the congestions in Wuchang on 1<sup>st</sup> -6<sup>th</sup> May 2014 .<br><br>
DOI: 10.6084/m9.figshare.14152529
title: Daily Peak Wind Gust series

description: INFO ABOUT THE DATA YOU ARE ACCESSING TO<br><br>You are here accessing to the homogenized daily peak wind gust (DPWG) series created in the following paper:<br><br>Minola L., Azorin-Molina C., Guijarro J. A., Zhang G., Son S.-W., & Chen D. (2021): Climatology of near-surface daly peak wind gusts across Scandinavia: observations and model simulation. Journal of Geophysical Research - Atmospheres<br><br>The analysis of the above paper were carried based on this dataset. <br><br>All the homogenised DPWG series and related info are included in the text files named:<br>(1) ‘Info_stations.txt’ <br>(2) ‘DPWG_series.txt’ <br><br>If you have problems to access to the data and/or questions about it, please contact Deliang Chen:<br>deliang@gvc.gu.se<br><br><br><br>WHAT YOU FIND IN THE TEXT FILES<br><br>‘Info_stations.txt’ provides info about the measuring stations used for this study. In particular, columns refer to:<br>(Column 1) Station label - for the identification of the daily peak wind gust series in the ‘DPWG_series.txt’<br>(Column 2) Measuring station name<br>(Column 3) ID station number<br>(Column 4) Nation - Finland, Norway, or Sweden<br>(Column 5) Latitude<br>(Column 6) Longitude<br>(Column 7) Elevation [m a.s.l.] <br>(Column 8) Type of station - Coast, inland, or mountain<br><br>‘DPWG_series.txt’ contains the homogenized DPWG series. In particular, columns refer to:<br>(Column 1) Year<br>(Column 2) Month<br>(Column 3) Day<br>(Column 4) Station_1 - DPWG observations for Station #1<br>(Column 5) Station_2 - DPWG observations for Station #2<br>(Column 6) …<br>…<br>(Column 130) Station_127 - DPWG observations for Station #127<br><br><br><br>HOW TO ACKNOWLEDGE AND CITE THE DATA<br><br>If you have downloaded and used the data, then please:<br><br>(1) cite the dataset by indicating the following publication<br><br>Minola L., Azorin-Molina C., Guijarro J. A., Zhang G., Son S.-W., & Chen D. (2021): Climatology of near-surface daly peak wind gusts across Scandinavia: observations and model simulation. Journal of Geophysical Research - Atmospheres<br><br>(2) acknowledge Minola & coauthors for making these data available.<br><br><br><br>Lorenzo Minola & Coauthors, 3rd March 2021