cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14685876
title: Supplementary Material for: Neurological Symptoms, Comorbidities, and Complications of COVID-19: A Literature Review and Meta-Analysis of Observational Studies

description: <b><i>Background:</i></b> Recently, it has been shown that coronavirus disease 2019 (COVID-19), which has caused a pandemic since December 2019, can be accompanied by some neurological disorders. This study aimed to assess the prevalence of the most common neurological symptoms and comorbidities and systematically review the literature regarding the most prevalent neurological complications of COVID-19 infection. <b><i>Methods:</i></b> All relevant studies had been collected from PubMed, Scopus, Embase, and Web of Science databases. All extracted data were analyzed using Stata version 11.2. The <i>I</i><sup>2</sup> index was applied, and a random-effects model or a fixed-effects model was used for pooled estimation to assess the heterogeneity of studies. Furthermore, Egger and Beeg’s tests were used to evaluate the publication bias. <b><i>Results:</i></b> Fifty-seven studies (26 observational and 31 case reports) were included (including 6,597 COVID-19 patients). The most prevalent general symptoms were fever, cough, and dyspnea with 84.6% (95% CI: 75.3–92.1; <i>I</i><sup>2</sup> = 98.7%), 61.3% (95% CI: 55.3–67.0; <i>I</i><sup>2</sup> = 94.6%), and 34.2% (95% CI: 25.6–43.4; <i>I</i><sup>2</sup> = 97.7%), respectively. Neurological symptoms observed among COVID-19 patients were fatigue, gustatory dysfunction, anorexia, olfactory dysfunction, headache, dizziness, and nausea with 42.9% (95% CI: 36.7–49.3; <i>I</i><sup>2</sup> = 92.8%), 35.4% (95% CI: 11.2–64.4; <i>I</i><sup>2</sup> = 99.2%), 28.9% (95% CI: 19.9–38.8; <i>I</i><sup>2</sup> = 96.3%), 25.3% (95% CI: 1.6–63.4; <i>I</i><sup>2</sup> = 99.6%), 10.1% (95% CI: 2.7–21.0; <i>I</i><sup>2</sup> = 99.1%), 6.7% (95% CI: 3.7–10.5; <i>I</i><sup>2</sup> = 87.5%), and 5.9% (95% CI: 3.1–9.5; <i>I</i><sup>2</sup> = 94.5%). The most prevalent neurological comorbidity in COVID-19 was cerebrovascular disease with 4.3% (95% CI: 2.7–6.3; <i>I</i><sup>2</sup> = 78.7%). <b><i>Conclusion:</i></b> The most prevalent neurological manifestations of COVID-19 include fatigue, gustatory dysfunction, anorexia, olfactory dysfunction, headache, dizziness, and nausea. Cerebrovascular disorders can either act as a risk factor for poorer prognosis in COVID-19 patients or occur as a critical complication in these patients. Guillain-Barre syndrome, encephalitis, and meningitis have also been reported as complications of COVID-19.
DOI: 10.6084/m9.figshare.14603883
title: Raw data on the development of Diaphorina communis on mandarin and curry leaf under field and laboratory conditions in 2014

description: This dataset provides the number of live adults, eggs and nymphs of <i>Diaphorina communis</i> on seedlings of mandarin and curry leaf during the experiment on acquisition and transmission of ‘<i>Candidatus </i>liberibacter asiaticus’ by <i>D. communis</i>, and the number of second-generation adults of <i>D. communis</i> on mandarin and curry leaf in the choice and no choice experiment in 2014 in the article <b><i>Diaphorina communis</i>: molecular identification, development on <i>Citrus reticulata</i>, and acquisition and transmission of ‘<i>Candidatus</i> Liberibacter asiaticus’.</b><br><br><br>
DOI: 10.6084/m9.figshare.14685756
title: Beyer&Kirsch et al_2021_pollinator data

description: This dataset includes the pollinator density, species richness and functional trait data of the article "Identity of mass-flowering crops moderates functional trait composition of pollinator communities".Landscape-level wild bee surveys in semi-natural habitats of 30 paired study landscapes were conducted. Study landscapes covered an oilseed rape gradient and half of the landscapes included faba beans.<br>
DOI: 10.5281/zenodo.4817583
title: Conformational ensembles used in "Refining conformational ensembles of flexible proteins against SAXS data; Pesce F. and Lindorff-Larsen K."

description: Conformational ensembles of Histatin5, Sic1, Tau generated with Flexible-meccano and converted to all-atom models with PULCHRA. TIA-1 ensemble from https://doi.org/10.1371/journal.pcbi.1007870 These ensembles have been used for SAXS calculations and reweighting against experimental SAXS data to study the effect of the hydration layer description on the reweighted ensembles.
DOI: 10.5281/zenodo.4428844
title: Microscope images of human cancer cell lines (U2OS and HL-60)

description: This is a dataset that contains microscope images from two cell lines, namely, a human osteosarcoma cell line (U2OS) and a human leukemia cell line (HL-60). The dataset was originally prepared for the cell counting task. It contains 165 labeled images (training: 133, test: 32). The file contains three folders: - training: 165 labeled images in .tiff format;<br> - test: 32 labeled images in .tiff format. Each labeled image has the following name: X.Y.N.tiff where:<br> X - the name of the human cancer cell line;<br> Y - a condition identifier (irrelevant);<br> N - the cell count. <br> If you use this dataset, please cite the following paper: Lavitt F, Rijlaarsdam DJ, van der Linden D, Weglarz-Tomczak E, Tomczak JM. Deep Learning and Transfer Learning for Automatic Cell Counting in Microscope Images of Human Cancer Cell Lines. <em>Applied Sciences</em>. 2021; 11(11):4912. https://doi.org/10.3390/app11114912
description: Contact person: Jakub M. Tomczak (jmk.tomczak@gmail.com) Funding: EWT was financed by a grant within Mobilnosc Plus V from the Polish Ministry of Science and Higher Education (Grant 1639/MOB/V/2017/0).
DOI: 10.5281/zenodo.4428843
title: Microscope images of human cancer cell lines (U2OS and HL-60)

description: This is a dataset that contains microscope images from two cell lines, namely, a human osteosarcoma cell line (U2OS) and a human leukemia cell line (HL-60). The dataset was originally prepared for the cell counting task. It contains 165 labeled images (training: 133, test: 32). The file contains three folders: - training: 165 labeled images in .tiff format;<br> - test: 32 labeled images in .tiff format. Each labeled image has the following name: X.Y.N.tiff where:<br> X - the name of the human cancer cell line;<br> Y - a condition identifier (irrelevant);<br> N - the cell count. <br> If you use this dataset, please cite the following paper: Lavitt F, Rijlaarsdam DJ, van der Linden D, Weglarz-Tomczak E, Tomczak JM. Deep Learning and Transfer Learning for Automatic Cell Counting in Microscope Images of Human Cancer Cell Lines. <em>Applied Sciences</em>. 2021; 11(11):4912. https://doi.org/10.3390/app11114912
description: Contact person: Jakub M. Tomczak (jmk.tomczak@gmail.com) Funding: EWT was financed by a grant within Mobilnosc Plus V from the Polish Ministry of Science and Higher Education (Grant 1639/MOB/V/2017/0).
DOI: 10.5523/bris.1rzx8spcol0mk24zjh3hnmbvdd
title: Regulation of glutamate transport and neuroinflammation following HIE

description: DNA methylation and gene expression dataset
DOI: 10.5281/zenodo.4817370
title: Datengrundlage für NER-Tutorial "Maschinelles Lernen in der digitalen Literaturwissenschaft"

description: Hier finden Sie alle Daten, die Sie für das Training Ihres Modells zur Briefanalyse benötigen.
DOI: 10.5281/zenodo.4817629
title: Datengrundlage für NER-Tutorial "Maschinelles Lernen in der digitalen Literaturwissenschaft"

description: Hier finden Sie alle Daten, die Sie für das Training Ihres Modells zur Briefanalyse benötigen.
DOI: 10.5281/zenodo.4817369
title: Datengrundlage für NER-Tutorial "Maschinelles Lernen in der digitalen Literaturwissenschaft"

description: Hier finden Sie alle Daten, die Sie für das Training Ihres Modells zur Briefanalyse benötigen.
DOI: 10.34740/kaggle/dsv/2275838
title: 2021 World Population (updated daily)
DOI: 10.21227/krmm-yp09
title: AOLAH Databases for Online Arabic Characters and Arabic Characters Strokes

description: AOLAH: AOLAH databases for Online Arabic Characters and Arabic characters StrokesThe AOLAH databases are contributions from Aswan faculty of engineering to help researchers in the field of online handwriting recognition to build a powerful system to recognize Arabic handwritten script. AOLAH stands for Aswan On-Line Arabic Handwritten where “Aswan” is the small beautiful city located at the south of Egypt, “On-Line” means that the databases are collected the same time as they are written, “Arabic” cause these databases are just collected for Arabic characters, and “Handwritten” written by the natural human hand.
DOI: 10.34808/9pzs-0a66
title: Mechanisms for supporting electric vehicle purchasers in selected European countries in 2011-2016

description: The European authorities have not developed a single common preference model for electric car buyers within the Union. Different countries have decided on different solutions. The following dataset presents mechanisms for supporting electric vehicle purchasers in selected European countries in years 2011-2016, including both economical (in the form of tax reductions and direct subsidies) as well as administrative and legal solutions.
DOI: 10.34808/4p39-d771
title: The share of BEV and PHEV in total number of registered vehicles (%) 2011-2016

description: In 2016, the highest percentage of electric vehicles among all passenger automobiles was recorded in Norway - about 28% (it should be noted that in 5 years the number of electric cars in this country increased from 5 thousand to 133 thousand). However, the remaining countries in the ranking note a much smaller share of sales of electric vehicles in total number of cars. For instance, in the Netherlands, this proportion was 6.39% in 2016 (lower than in 2015), in Sweden 3.41%. In other countries, this ratio was around 1%. The share of electric vehicles in total automobiles registrations in each country is shown in the following dataset.
DOI: 10.34808/fxkf-ep53
title: List of administrative and tax preferences for electric vehicles owners in selected European countries

description: Current mechanisms for supporting electric vehicle owners are both economic (in the form of tax reliefs and direct subsidies) as well as administrative and legal. Examples from countries that have opted for different types of incentives present that they have leaded to increased demand for such vehicles. The following dataset is a summary list, including economic preferences (reliefs, grants and bonuses), as well as administrative and legal (e.g. the possible use of bus lanes and additional, free of charge parking spaces) mechanisms of supporting the acquisition of electric cars.
DOI: 10.34808/f28k-5s55
title: Number of registered BEV and PHEV vehicles in 2011-2016 (in thousands)

description: There are three main types of vehicles that are generally regarded as an electric car. These include:
BEV (Battery Electric Vehicle) - fully electric vehicle with installed battery, which is the only source of power,
PHEV (Plug-in Hybrid Electric Vehicle) - a hybrid vehicle (i.e. with a gasoline and electric petrol engine) with the ability to charge the battery as the additional source of power,
HEV (Hybrid Electric Vehicle) - a hybrid vehicle without the ability to charge battery from the grid (the electricity is generated by the installation of a conventional internal combustion engine).
The last group of cars is not based on the electric source but rather on traditional fuel. Therefore the authors due to the purposes of this article have included BEV and PHEV into research only. These vehicles are actually an alternative to combustion engines
The global market of electric vehicles currently record a 50% annual increase in sales (Global EV Outlook 2017). In 2016 the world sales was in total of 750 thousand cars. The largest  market is in China with the volume of 336 thousand vehicles sold. The second biggest market is in the United States - 160 thousand cars. Third place is a Japanese one. As far as the European market is concerned, the vast majority of fleets are concentrated in just several countries i.e.: Norway, Great Britain, France, Germany, The Netherlands and Sweden.
In 2016, a total of over 2 million new electric vehicles were registered worldwide. As it was mentioned, mostly in China, the United States and Japan.  From the data presented, it can be concluded that the increase in the number of BEV and PHEV vehicles over five years is substantial, in some cases even several times. This does not mean, however, that the share of electric vehicles among all automobiles has increased significantly. In order for this to happen, the number of newly registered combustion cars would have to be declining or at least stay unchanged.
DOI: 10.5281/zenodo.4726169
title: Meta-analysis of somatic mutations and deep mutational scanning data reveal protein structural consequences of mutational signatures

description: Data generated for the manuscript "Protein structural consequences of DNA mutational signatures: A meta-analysis of somatic variants and deep mutational scanning data". Please consult the README file for detailed description of data files included in this dataset.
DOI: 10.6084/m9.figshare.13353539
title: Feraco et al., 2021 data "Do strengths converge into virtues? An item-, virtue-, and scale-level analysis of the Italian Values in Action Inventory of Strengths-120"

description: The dataset include 1035 observation on the 120 items of the Italian version of the VIA-IS-120, the total for each of the 24 character strengths, the total for each of the six virtues, and converge variables (DASS-21 and GHQ-12).Gender and Age information are also included
DOI: 10.6084/m9.figshare.13353539.v4
title: Feraco et al., 2021 data "Do strengths converge into virtues? An item-, virtue-, and scale-level analysis of the Italian Values in Action Inventory of Strengths-120"

description: The dataset include 1035 observation on the 120 items of the Italian version of the VIA-IS-120, the total for each of the 24 character strengths, the total for each of the six virtues, and converge variables (DASS-21 and GHQ-12).Gender and Age information are also included
DOI: 10.6084/m9.figshare.13353539.v3
title: Feraco et al., 2021 data "Do strengths define virtues? An item- and virtue-level analysis of the Italian Values in Action Inventory of Strengths-120"

description: The dataset include 1035 observation on the 120 items of the Italian version of the VIA-IS-120, the total for each of the 24 character strengths, the total for each of the six virtues, and converge variables (DASS-21 and GHQ-12).Gender and Age information are also included
DOI: 10.5281/zenodo.4817653
title: RoB 2 cribsheets

description: These are the cribsheets related to the Risk of Bias assessment
DOI: 10.25442/hku.14677797
title: SLeX-BSA and LeX-BSA IP sperm protein-summary (MALDI-TOF-MS/MS)

description: <b>Identification of Sialyl-Lewis(x) (SLeX)/ Lewis(x) (LeX)-binding proteins from human sperm membrane protein extracts using SLeX/LeX-BSA affinity chromatography followed by MALDI-TOF-MS/MS. </b>SLeX-binding proteins on the plasma membrane of capacitated spermatozoa were identified by our established chromatographic method using SLeX-BSA neoglycoprotein affinity column followed by mass spectrometric analysis as described. In brief, capacitated spermatozoa (100×10<sup>6</sup>) were washed thrice in EBSS. Non-integral, peripheral membrane-associated proteins on spermatozoa were removed by incubation of the washed spermatozoa in 1 M NaCl in PBS with gentle stirring for 10 minutes at 25ºC. The spermatozoa were then collected by centrifugation at 600× g for 10 minutes before extraction of the sperm plasma membrane proteins by the ProteoExtract Native Membrane Protein Extraction Kit (Merck, Kenilworth, NJ) according to the manufacturer’s instructions. The insoluble fraction was discarded after centrifugation at 15,000× g for 40 minutes. The supernatant was diluted in a solution of MOPS-NaOH buffer (pH 7.3) containing 0.2% Triton X-100 and 6 mM MnCl2. SLeX-BSA (Dextra, Reading, UK) conjugated sepharose beads (GE Healthcare) were used to precipitate the SLeX-binding protein from the extracted membrane protein fractions. LeX-BSA, which did not bind to human spermatozoa was used as a control.<br>
DOI: 10.25442/hku.14677797.v1
title: SLeX-BSA and LeX-BSA IP sperm protein-summary (MALDI-TOF-MS/MS)

description: <b>Identification of Sialyl-Lewis(x) (SLeX)/ Lewis(x) (LeX)-binding proteins from human sperm membrane protein extracts using SLeX/LeX-BSA affinity chromatography followed by MALDI-TOF-MS/MS. </b>SLeX-binding proteins on the plasma membrane of capacitated spermatozoa were identified by our established chromatographic method using SLeX-BSA neoglycoprotein affinity column followed by mass spectrometric analysis as described. In brief, capacitated spermatozoa (100×10<sup>6</sup>) were washed thrice in EBSS. Non-integral, peripheral membrane-associated proteins on spermatozoa were removed by incubation of the washed spermatozoa in 1 M NaCl in PBS with gentle stirring for 10 minutes at 25ºC. The spermatozoa were then collected by centrifugation at 600× g for 10 minutes before extraction of the sperm plasma membrane proteins by the ProteoExtract Native Membrane Protein Extraction Kit (Merck, Kenilworth, NJ) according to the manufacturer’s instructions. The insoluble fraction was discarded after centrifugation at 15,000× g for 40 minutes. The supernatant was diluted in a solution of MOPS-NaOH buffer (pH 7.3) containing 0.2% Triton X-100 and 6 mM MnCl2. SLeX-BSA (Dextra, Reading, UK) conjugated sepharose beads (GE Healthcare) were used to precipitate the SLeX-binding protein from the extracted membrane protein fractions. LeX-BSA, which did not bind to human spermatozoa was used as a control.<br>
DOI: 10.6084/m9.figshare.7735094
title: The dynamics of diachronous extinction associated with climatic deterioration near the Neogene/Quaternary boundary

description: Raw size and abundance data of 16,091 specimens of planktonic foraminifera of the species Globoconella puncticulata, across 6 Atlantic sites over 600,000 years, and scaled flux and area data for use in linear mixed effect models.<br><br>
DOI: 10.15161/oar.it/73812
title: CovidStat project data

description: This record contains the daily updated data of the CovidStat project. CovidStat is a project carried out by the CovidStat Working Group at INFN, whose creation was promoted within the Italian National Institute of Nuclear Physics with the aim of making a statistical analysis of the data provided daily by the Civil Protection on the spread of the pandemic in Italy. CovidStat data can interactively be browsed at https://covid19.infn.it.
description: The software to process this Root TTree is in the related identifier. Be sure to use the right corresponding version, based on the data in which Root TTree was generated.
DOI: 10.5286/isis.e.rb2000256
title: Dye⋯TiO2 Interfacial Structure of Working Electrodes in Dye-Sensitized Solar Cells

description: The transparent and low-cost nature of dye-sensitised solar cells (DSCs) affords them nicheprospects for electricity-generating windows in buildings for energy-sustainable future cities.Despite their vast industrial potential, innovation is being held up by a lack of suitable dyes. Betterdyes can only be realised if we can better understand how the dye...TiO2 interface of a workingelectrode in a DSC functions at the molecular level. To this end, we propose to study thisinterfacial structure (dye adsorption modes, interdye separation and dye/TiO2 tilt angles) of threehigh-performance DSC dyes on TiO2 surfaces in solar cell conditions, and relate this structure tothe photovoltaic properties of the associated device. The structure-function relationshipsestablished will act as molecular design rules to guide the molecular engineering of new dyes thatoffer superior DSC performance.
DOI: 10.5286/isis.e.rb2000256-1
title: Dye⋯TiO2 Interfacial Structure of Working Electrodes in Dye-Sensitized Solar Cells

description: The transparent and low-cost nature of dye-sensitised solar cells (DSCs) affords them nicheprospects for electricity-generating windows in buildings for energy-sustainable future cities.Despite their vast industrial potential, innovation is being held up by a lack of suitable dyes. Betterdyes can only be realised if we can better understand how the dye...TiO2 interface of a workingelectrode in a DSC functions at the molecular level. To this end, we propose to study thisinterfacial structure (dye adsorption modes, interdye separation and dye/TiO2 tilt angles) of threehigh-performance DSC dyes on TiO2 surfaces in solar cell conditions, and relate this structure tothe photovoltaic properties of the associated device. The structure-function relationshipsestablished will act as molecular design rules to guide the molecular engineering of new dyes thatoffer superior DSC performance.
DOI: 10.6084/m9.figshare.14685972
title: Supplementary Material for: Ultrasonographic Intraparenchymal Renal Resistive Index Variation for Assessing Renal Functional Reserve in Patients Scheduled for Cardiac Surgery: A Pilot Study

description: <b><i>Introduction:</i></b> Cardiac surgery-associated acute kidney injury (CSA-AKI) is a common complication in patients undergoing cardiac surgery. Preoperative renal functional reserve (RFR) has been demonstrated to be highly predictive of CSA-AKI. We have previously demonstrated that intraparenchymal renal resistive index variation (IRRIV) measured by ultrasound (US) can identify the presence of RFR in healthy individuals. This study aimed (1) to examine the correlation between the US IRRIV test and RFR measured through the protein loading test in patients undergoing elective cardiac surgery and (2) to determine the value of the 2 methods for predicting occurrence of AKI or subclinical AKI after cardiac surgery. <b><i>Methods:</i></b> Consecutive patients scheduled for cardiac surgery were enrolled for this pilot study. The protein loading test and the IRRIV test were performed in all patients 2 days before cardiac surgery. Correlation between IRRIV and RFR was tested using Pearson correlation analysis. Association between presence of RFR and positive IRRIV test, presence of RFR and AKI and subclinical AKI, and positive IRRIV test and AKI and subclinical AKI was evaluated using logistic regression analysis. Receiver operating characteristic (ROC) curve analysis was performed to evaluate the values of IRRIV for predicting RFR, RFR for predicting AKI and subclinical AKI, and IRRIV for predicting AKI and subclinical AKI. <b><i>Results:</i></b> Among the 31 patients enrolled, significant association was found between IRRIV and RFR (<i>r</i> = 0.81; 95% CI: 0.63–0.90; <i>p</i> &lt; 0.01). The association between RFR and IRRIV was described in 27/31 (87.1%) patients. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of the IRRIV test were 100, 84, 60, and 100%, respectively. In ROC curve analysis, the area under the curve (AUC) was 0.80 (95% CI: 0.64–0.96). After cardiac surgery, 1/31 (3.2%) patient had AKI and 12/31 (38.7%) had subclinical AKI. RFR predicted subclinical AKI (odds ratio [OR] = 0.93; 95% CI: 0.87–0.98; <i>p</i> = 0.02). The sensitivity, specificity, PPV, and NPV of the RFR were 61, 88.8, 80, and 76%, respectively; the AUC was 0.75 (95% CI: 0.59–0.91). IRRIV predicts subclinical AKI (OR = 0.79; 95% CI: 0.67–0.93; <i>p</i> = 0.005). The sensitivity, specificity, PPV, and NPV of the IRRIV test were 46.1, 100, 100, and 72%, respectively; the AUC was 0.73 (95% CI: 0.58–0.87). <b><i>Conclusion:</i></b> This pilot study suggests that a positive IRRIV test can significantly predict the presence of RFR in patients scheduled for cardiac surgery. RFR measured by the protein loading test or by the US IRRIV test can predict the occurrence of subclinical postoperative AKI. The findings of this study need to be confirmed in large patient cohorts.