cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12030777
title: Probed exome intervals for snowshoe hare

description: A .bed file containing the coordinates of the probed regions for a snowshoe hare exome capture. Coordinates are based on the European rabbit (oryCun2.0) genome. The capture was originally designed by Jones et al. 2018 (linked in references).<br>We targeted all protein-coding and untranslated regions (UTRs) annotated in the European rabbit reference genome and novel UTRs identified from published molting snowshoe hare skin transcriptomes (total of207,691 regions, 55.29-Mb) (Ferreira et al. 2017, linked in references). Custom probes were generated by Roche (NimbleGen SeqCapEZ Developer) using a relaxed probe design. The final capture probe set covered 97.4% of originally targeted bases (&gt;99% of protein-coding genes) and included 213,164 probes covering 61.73-Mb (~25-Mb protein-coding, ~28-Mb UTR, ~9-Mb intron/intergenic).<br> p.p1 {margin: 0.0px 0.0px 0.0px 0.0px; font: 12.0px Helvetica}
DOI: 10.6084/m9.figshare.12032745.v23
title: Molecular docking study on the structure of COVID-19 main protease (MPro) to find the best viral inhibitor

description: Docking study shows best binding affinity against the main protease of COVID-19. As per the docking results top twelve compounds as a MPro inhibitor, Coumermycin A1 (-10.2), Irinotecan (-9.4), Suramin (-9.4), Trovafloxacin (-9.3), Aclarubicin (-9.0), Dactinomycin (-9.0), TG-100801 (-9.0), Raltegravir (-8.9), Digoxin (-8.9), Etoposide (-8.9), Doxorubicin (-8.8), and Venetoclax (-8.8) from the tested compounds.<br>Email ID: u105850009@kmu.edu.tw<br><br>ARULANANDAM, CHARLI DEEPAK (2020): Molecular docking study on the structure of COVID-19 main protease (MPro) to find the best viral iinhibitor. figshare. Dataset. https://doi.org/10.6084/m9.figshare.12032745.v13<br>
DOI: 10.6084/m9.figshare.12030777.v1
title: Probed exome intervals for snowshoe hare

description: A .bed file containing the coordinates of the probed regions for a snowshoe hare exome capture. Coordinates are based on the European rabbit (oryCun2.0) genome. The capture was originally designed by Jones et al. 2018 (linked in references).<br>We targeted all protein-coding and untranslated regions (UTRs) annotated in the European rabbit reference genome and novel UTRs identified from published molting snowshoe hare skin transcriptomes (total of207,691 regions, 55.29-Mb) (Ferreira et al. 2017, linked in references). Custom probes were generated by Roche (NimbleGen SeqCapEZ Developer) using a relaxed probe design. The final capture probe set covered 97.4% of originally targeted bases (&gt;99% of protein-coding genes) and included 213,164 probes covering 61.73-Mb (~25-Mb protein-coding, ~28-Mb UTR, ~9-Mb intron/intergenic).<br> p.p1 {margin: 0.0px 0.0px 0.0px 0.0px; font: 12.0px Helvetica}
DOI: 10.6084/m9.figshare.12032745.v24
title: AutoDock VINA: Docking study on the structure of COVID-19 main protease (MPro) to find the best viral inhibitor

description: Docking study shows best binding affinity against the main protease of COVID-19. As per the docking results top twelve compounds as a MPro inhibitor, Coumermycin A1 (-10.2), Irinotecan (-9.4), Suramin (-9.4), Trovafloxacin (-9.3), Aclarubicin (-9.0), Dactinomycin (-9.0), TG-100801 (-9.0), Raltegravir (-8.9), Digoxin (-8.9), Etoposide (-8.9), Doxorubicin (-8.8), and Venetoclax (-8.8) from the tested compounds.<br>Email ID: u105850009@kmu.edu.tw<br><br>https://doi.org/10.6084/m9.figshare.12032745.v13<br>
DOI: 10.6084/m9.figshare.12030774
title: Targeted exome intervals for snowshoe hare

description: A .bed file containing the coordinates of the targeted exome regions for snowshoe hares based on the European rabbit (oryCun2.0) genome. The capture was originally designed by Jones et al. 2018 (linked in references).<br><br>We targeted all protein-coding and untranslated regions (UTRs) annotated in the European rabbit reference genome and novel UTRs identified from published molting snowshoe hare skin transcriptomes (total of207,691 regions, 55.29-Mb) (Ferreira et al. 2017, linked in references). Custom probes were generated by Roche (NimbleGen SeqCapEZ Developer) using a relaxed probe design. The final capture probe set covered 97.4% of originally targeted bases (&gt;99% of protein-coding genes) and included 213,164 probes covering 61.73-Mb (~25-Mb protein-coding, ~28-Mb UTR, ~9-Mb intron/intergenic).<br>
DOI: 10.6084/m9.figshare.12030774.v1
title: Targeted exome intervals for snowshoe hare

description: A .bed file containing the coordinates of the targeted exome regions for snowshoe hares based on the European rabbit (oryCun2.0) genome. The capture was originally designed by Jones et al. 2018 (linked in references).<br><br>We targeted all protein-coding and untranslated regions (UTRs) annotated in the European rabbit reference genome and novel UTRs identified from published molting snowshoe hare skin transcriptomes (total of207,691 regions, 55.29-Mb) (Ferreira et al. 2017, linked in references). Custom probes were generated by Roche (NimbleGen SeqCapEZ Developer) using a relaxed probe design. The final capture probe set covered 97.4% of originally targeted bases (&gt;99% of protein-coding genes) and included 213,164 probes covering 61.73-Mb (~25-Mb protein-coding, ~28-Mb UTR, ~9-Mb intron/intergenic).<br>
DOI: 10.6084/m9.figshare.12032745.v25
title: AutoDock VINA: Docking study on the structure of COVID-19 main protease (MPro) to find the best viral inhibitor

description: Docking study shows best binding affinity against the main protease of COVID-19. As per the docking results top twelve compounds as a MPro inhibitor, Coumermycin A1 (-10.2), Irinotecan (-9.4), Suramin (-9.4), Trovafloxacin (-9.3), Aclarubicin (-9.0), Dactinomycin (-9.0), TG-100801 (-9.0), Raltegravir (-8.9), Digoxin (-8.9), Etoposide (-8.9), Doxorubicin (-8.8), and Venetoclax (-8.8) from the tested compounds.<br>Email ID: u105850009@kmu.edu.tw<br><br>https://doi.org/10.6084/m9.figshare.12032745.v13<br>
DOI: 10.6084/m9.figshare.12032745.v26
title: Molecular docking: Hydroxychloroquine alternative to inhibit the COVID-19 main protease (MPro)

description: Docking study shows best binding affinity against the main protease of COVID-19. As per the docking results top twelve compounds as a MPro inhibitor, Coumermycin A1 (-10.2), Irinotecan (-9.4), Suramin (-9.4), Trovafloxacin (-9.3), Aclarubicin (-9.0), Dactinomycin (-9.0), TG-100801 (-9.0), Raltegravir (-8.9), Digoxin (-8.9), Etoposide (-8.9), Doxorubicin (-8.8), and Venetoclax (-8.8) from the tested compounds.<br>Email ID: u105850009@kmu.edu.tw<br><br>ARULANANDAM, CHARLI DEEPAK (2020): Molecular docking: Hydroxychloroquine alternative to inhibit the COVID-19 main protease (MPro). figshare. Dataset. https://doi.org/10.6084/m9.figshare.12032745.v26
DOI: 10.25380/iastate.12030744
title: Gulf of Maine bulk and amino acid nitrogen isotope data from 1783-2010 measured from Arctica islandica shells

description: The data presented here are bulk and amino acid nitrogen isotopes and amino acid concentrations measured in <i>Arctica islandica </i>shells collected from the Gulf of Maine between 2009 and 2014. The samples are dated between 1783 and 2010 C.E. using cross-dating techniques. Three different tissue types were analyzed: periostracum, calcium carbonate shell, and adductor muscle. Carbon isotopes of periostracum are also presented. Isotope data were analyzed using an isotope ratio mass spectrometer coupled with a Gas Chromatograph and an Elemental Analyzer for amino acid and bulk analyses, respectively. Amino acid concentration data were analyzed using a Flame Ionization Detector and concentration curves. Trophic position of <i>Arctica islandica </i>through time was determined using a trophic position equation gleaned from the literature.<br>
DOI: 10.25380/iastate.12030744.v1
title: Gulf of Maine bulk and amino acid nitrogen isotope data from 1783-2010 measured from Arctica islandica shells

description: The data presented here are bulk and amino acid nitrogen isotopes and amino acid concentrations measured in <i>Arctica islandica </i>shells collected from the Gulf of Maine between 2009 and 2014. The samples are dated between 1783 and 2010 C.E. using cross-dating techniques. Three different tissue types were analyzed: periostracum, calcium carbonate shell, and adductor muscle. Carbon isotopes of periostracum are also presented. Isotope data were analyzed using an isotope ratio mass spectrometer coupled with a Gas Chromatograph and an Elemental Analyzer for amino acid and bulk analyses, respectively. Amino acid concentration data were analyzed using a Flame Ionization Detector and concentration curves. Trophic position of <i>Arctica islandica </i>through time was determined using a trophic position equation gleaned from the literature.<br>
DOI: 10.6084/m9.figshare.12032745.v27
title: Molecular docking: Hydroxychloroquine alternative to inhibit the COVID-19 main protease (MPro)

description: Docking study shows best binding affinity against the main protease of COVID-19. Email ID: contact@findrug.org
DOI: 10.6084/m9.figshare.12030711
title: Range-wide snowshoe hare exome SNP loci

description: A .map file containing the genomic coordinates of 10388 unlinked SNP sites (spaced &gt;10kb apart) for snowshoe hares derived from a whole exome capture. SNPs were used to perform a population structure analysis in Admixture v1.3.0.<br>Raw sequence data were first cleaned by trimming adapters and low-quality bases (mean phred-scaled quality score &lt;15 across 4 bp window) using Trimmomatic v0.35 (Bolger et al. 2014). Paired-end reads overlapping more than 10 bp and with lower than 10% mismatched bases were then merged using FLASH2 (Magoč and Salzberg 2011). Cleaned sequence data were then mapped to a snowshoe hare pseudoreference genome (see Jones et al. (2018) for details) using default settings in BWA-MEM v0.7.12 (Li 2013). We used PicardTools to remove duplicate reads with the MarkDuplicates function and assigned read group information with the AddOrReplaceReadGroups function. Using GATK v3.4.046 (McKenna et al. 2010), we then identified poorly aligned genomic regions with RealignerTargetCreator and locally realigned sequence data in these regions with IndelRealigner. We performed multi-sample variant calling for previously defined snowshoe hare populations using default settings with the GATK UnifiedGenotyper and performed variant filtration in VCFtools v0.1.14 (Danecek et al. 2011). We filtered genotypes with individual coverage &lt;5x or &gt;70x or with a phred-scaled quality score &lt;30. Additionally, we removed all indel variants and filtered SNPs with a phred-scaled quality score &lt;30, Hardy-Weinberg P&lt;0.001. We required that sites have no missing data across individuals and that sites were &gt; 10kb apart. We then created a .ped and .map file using the --plink flag in VCFtools.<br>
DOI: 10.6084/m9.figshare.12030663
title: Range-wide snowshoe hare exome SNP genotypes

description: A .ped file containing 10388 unlinked SNP genotypes for snowshoe hares derived from a whole exome capture. SNPs were used to perform a population structure analysis in Admixture v1.3.0. <br>Raw sequence data were first cleaned by trimming adapters and low-quality bases (mean phred-scaled quality score &lt;15 across 4 bp window) using Trimmomatic v0.35 (Bolger et al. 2014). Paired-end reads overlapping more than 10 bp and with lower than 10% mismatched bases were then merged using FLASH2 (Magoč and Salzberg 2011). Cleaned sequence data were then mapped to a snowshoe hare pseudoreference genome (see Jones et al. (2018) for details) using default settings in BWA-MEM v0.7.12 (Li 2013). We used PicardTools to remove duplicate reads with the MarkDuplicates function and assigned read group information with the AddOrReplaceReadGroups function. Using GATK v3.4.046 (McKenna et al. 2010), we then identified poorly aligned genomic regions with RealignerTargetCreator and locally realigned sequence data in these regions with IndelRealigner. We performed multi-sample variant calling for previously defined snowshoe hare populations using default settings with the GATK UnifiedGenotyper and performed variant filtration in VCFtools v0.1.14 (Danecek et al. 2011). We filtered genotypes with individual coverage &lt;5x or &gt;70x or with a phred-scaled quality score &lt;30. Additionally, we removed all indel variants and filtered SNPs with a phred-scaled quality score &lt;30, Hardy-Weinberg P&lt;0.001. We required that sites have no missing data across individuals and that sites were &gt; 10kb apart. We then created a .ped and .map file using the --plink flag in VCFtools.<br>
DOI: 10.5281/zenodo.4000065
title: A Combined approach of MALDI-TOF Mass Spectrometry and multivariate analysis as a potential tool for the detection of SARS-CoV-2 virus in nasopharyngeal swabs.

description: The spectra were provided as unprocessed raw data in the manufacturers data format (Bruker), as labelled two zip archives with SARS CoV 2 positives and negative, according to the reviewer's recommendation. This information belongs to the publication (in review in <em>Journal of Virological Methods</em>)<br> "A Combined approach of MALDI-TOF Mass Spectrometry and multivariate analysis as a potential tool for the detection of SARS-CoV-2 virus in nasopharyngeal swabs"<br> All the information belongs to the National Reference Institute, INEI-ANLIS DR CARLOS G MALBRAN, BUENOS AIRES, ARGENTINA.
DOI: 10.5281/zenodo.4000064
title: A Combined approach of MALDI-TOF Mass Spectrometry and multivariate analysis as a potential tool for the detection of SARS-CoV-2 virus in nasopharyngeal swabs.

description: The spectra were provided as unprocessed raw data in the manufacturers data format (Bruker), as labelled two zip archives with SARS CoV 2 positives and negative, according to the reviewer's recommendation. This information belongs to the publication (in review in <em>Journal of Virological Methods</em>)<br> "A Combined approach of MALDI-TOF Mass Spectrometry and multivariate analysis as a potential tool for the detection of SARS-CoV-2 virus in nasopharyngeal swabs"<br> All the information belongs to the National Reference Institute, INEI-ANLIS DR CARLOS G MALBRAN, BUENOS AIRES, ARGENTINA.
DOI: 10.6084/m9.figshare.12030624
title: Dataset_S1_MSA_files

description: Dataset S1: contains .txt files for all of the seed sequences used to construct the custom pHMMs for precision mode of RRE-Finder.<br>
DOI: 10.6084/m9.figshare.12030651
title: Dataset_S2_HMM_files

description: contains the actual custom pHMM file in .txt format for each model used for precision mode of RRE-Finder.
DOI: 10.6084/m9.figshare.12030651.v2
title: Dataset_S2_HMM_files

description: contains the actual custom pHMM file in .txt format for each model used for precision mode of RRE-Finder.
DOI: 10.6084/m9.figshare.12030651.v1
title: Dataset_S2_HMM_files

description: contains the actual custom pHMM file in .txt format for each model used for precision mode of RRE-Finder.
DOI: 10.6084/m9.figshare.12030606
title: Polymorphisms Involved in Platelet Activation and Inflammatory Response on Aspirin-Related Upper Gastrointestinal Bleeding: A Case- Control Study

description: This database was generated and used in the study "Influence of polymorphisms in genes involved in platelet activation and inflammatory response on aspirin-related upper gastrointestinal bleeding: A Case-Control Study" <br>
DOI: 10.6084/m9.figshare.12030624.v1
title: Dataset_S1_MSA_files

description: Dataset S1: contains .txt files for all of the seed sequences used to construct the custom pHMMs for precision mode of RRE-Finder.<br>
DOI: 10.6084/m9.figshare.12030549
title: Genotyping data for 33 SNPs.xlsx

description: We performed a case-control study including 964 unrelated pregnant women with GDM and 1,021 pregnant women with normal glucose tolerance (as controls). A total of 33 genetic variants confirmed by GWA studies for obesity and metabolic diseases were selected and measured.
DOI: 10.6084/m9.figshare.12030606.v1
title: Polymorphisms Involved in Platelet Activation and Inflammatory Response on Aspirin-Related Upper Gastrointestinal Bleeding: A Case- Control Study

description: This database was generated and used in the study "Influence of polymorphisms in genes involved in platelet activation and inflammatory response on aspirin-related upper gastrointestinal bleeding: A Case-Control Study" <br>
DOI: 10.6084/m9.figshare.12030408
title: Source data for 'Chaos-assisted two-octave-spanning microcombs'

description: This Source Data file provides the corresponding simulated and experimental data files for the figures in the main text of the paper "Chaos-assisted two-octave-spanning microcombs", including the data within figures 2, figures 3, figures 4b-d and figure 5.
DOI: 10.6084/m9.figshare.12030408.v1
title: Source data for 'Chaos-assisted two-octave-spanning microcombs'

description: This Source Data file provides the corresponding simulated and experimental data files for the figures in the main text of the paper "Chaos-assisted two-octave-spanning microcombs", including the data within figures 2, figures 3, figures 4b-d and figure 5.
DOI: 10.6084/m9.figshare.12030549.v1
title: GDM.xlsx

description: 1个1111
DOI: 10.6084/m9.figshare.12030549.v2
title: Genotyping data for 33 SNPs.xlsx

description: We performed a case-control study including 964 unrelated pregnant women with GDM and 1,021 pregnant women with normal glucose tolerance (as controls). A total of 33 genetic variants confirmed by GWA studies for obesity and metabolic diseases were selected and measured.
DOI: 10.6084/m9.figshare.12030549.v4
title: Genotyping data for 33 SNPs.xlsx

description: We performed a case-control study including 964 unrelated pregnant women with GDM and 1,021 pregnant women with normal glucose tolerance (as controls). A total of 33 genetic variants confirmed by GWA studies for obesity and metabolic diseases were selected and measured.
DOI: 10.6084/m9.figshare.12030549.v3
title: Genotyping data for 33 SNPs.xlsx

description: We performed a case-control study including 964 unrelated pregnant women with GDM and 1,021 pregnant women with normal glucose tolerance (as controls). A total of 33 genetic variants confirmed by GWA studies for obesity and metabolic diseases were selected and measured.
DOI: 10.6084/m9.figshare.12030363
title: Using country-level variables to classify countries according to the number of confirmed COVID-19 cases: An unsupervised machine learning approach

description: These are:1. Datasets used in the analysis2. Codes for the analysis
DOI: 10.6084/m9.figshare.12030309
title: Supplementary Material for: Prediction of Independent Gait in Acute Stroke Patients with Hemiplegia Using the Ability for Basic Movement Scale II Score

description: <b><i>Introduction:</i></b> Since independent gait is an important factor for home discharge, early prediction of independent gait after stroke is essential. The revised version of the Ability for Basic Movement Scale II (ABMS II) has been developed and validated for assessment of basic movements poststroke. <b><i>Objective:</i></b> The purpose of this study was to investigate the predictive value of the ABMS II score for independent gait in acute stroke patients with hemiplegia. <b><i>Methods:</i></b> We included 67 patients with first stroke and a unilateral lesion who were admitted to the stroke care unit. We evaluated the gait on the 14th and 90th days from admission. <b><i>Results:</i></b> The ABMS II score was significantly higher in patients with independent gait on both the 14th and 90th days from admission. On receiver operating characteristic curve analysis, a minimum score of 26 points was predictive of independent gait on the 14th day from admission. Similarly, a score of 15 points was predictive of independent gait on the 90th day from admission. <b><i>Conclusions:</i></b> The ABMS II score is a useful predictor of independent gait in acute stroke patients with hemiplegia.
DOI: 10.6084/m9.figshare.12030318
title: TCGARNA-seq

description: RNA-seq data from all patients 30+ years of age at diagnosis in TCGA
DOI: 10.6084/m9.figshare.12030297
title: Can Information about Pandemics Increase Negative Attitudes toward Foreign Groups? A Case of COVID-19 Outbreak

description: Datasetes from two studies.
DOI: 10.6084/m9.figshare.12030297.v2
title: Can Information about Pandemics Increase Negative Attitudes toward Foreign Groups? A Case of COVID-19 Outbreak

description: Datasetes from two studies.
DOI: 10.6084/m9.figshare.12030297.v1
title: Pandemic increases negative attitudes toward foreign groups: a case of COVID-19 outbreak

description: Datasetes from two studies
DOI: 10.6084/m9.figshare.12030084
title: CSF biomarkers data.pdf

description: Patients from 9 european memory clinics centers with CSF biomarkers and APOE data.<br>
DOI: 10.6084/m9.figshare.12030081
title: ANOVA_Rho de Spearman_Correlaciones entre competencias_alumnos_periodismo

description: Through a survey (n=176), this research evaluates the relationship between Spanish Journalism undergraduate students' perception of their current skills and those required in the exercise of the profession and their sociodemographic profiles and their media consumption habits and models. These data are result of the statistical treatment included in the work.
DOI: 10.6084/m9.figshare.12030081.v2
title: ANOVA_Rho de Spearman_Correlaciones entre competencias_alumnos_periodismo

description: Through a survey (n=176), this research evaluates the relationship between Spanish Journalism undergraduate students' perception of their current skills and those required in the exercise of the profession and their sociodemographic profiles and their media consumption habits and models. These data are result of the statistical treatment included in the work.
DOI: 10.6084/m9.figshare.12030081.v1
title: Rho de Spearman_Correlaciones entre competencias_alumnos_periodismo

description: Through a survey (n=176), this research evaluates the relationship between Spanish Journalism undergraduate students' perception of their current skills and those required in the exercise of the profession and their sociodemographic profiles and their media consumption habits and models. These data are result of the statistical treatment included in the work.
DOI: 10.6084/m9.figshare.12029712
title: Sexual Coercion and Relational Uncertainty in Romantic Relationships_March 20, 2020_23.33 (1).sav

description: This data set contains items that form composite variables for relational satisfaction, perpetrator and victim coercion, relational uncertainty and its subscales, relational-contingent self-esteem, romantic jealousy subscales, and heteronormative gender scripts. As well as, non-identifying information such as age, and racial background.
DOI: 10.6084/m9.figshare.12029712.v2
title: Sexual Coercion and Relational Uncertainty in Romantic Relationships_March 20, 2020_23.33 (1).sav

description: This data set contains items that form composite variables for relational satisfaction, perpetrator and victim coercion, relational uncertainty and its subscales, relational-contingent self-esteem, romantic jealousy subscales, and heteronormative gender scripts. As well as, non-identifying information such as age, and racial background.
DOI: 10.6084/m9.figshare.12029712.v1
title: Sexual Coercion and Relational Uncertainty in Romantic Relationships_March 20, 2020_23.33 (1).sav

description: This data set contains items that form composite variables for relational satisfaction, perpetrator and victim coercion, relational uncertainty and its subscales, relational-contingent self-esteem, romantic jealousy subscales, and heteronormative gender scripts. As well as, non-identifying information such as age, and racial background.