cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12323882
title: Supplementary Table 7

description: Supplementary Table 7 (Day 6 in culture with 5AZA treatment; all significantly hypo and hypermethylated CpG sites)
DOI: 10.6084/m9.figshare.12323885
title: Supplementary Table 8

description: Supplementary Table 8 (Day 7 in culture with 5AZA treatment; all significantly hypo and hypermethylated CpG sites)
DOI: 10.6084/m9.figshare.12323915.v1
title: planilha estatistica Digestive byproducts.xlsx

description: Data set from the manuscript addresses the use of nutritional alternatives: that the addition of soybean hulls levels affects protein and carbohydrate fractionation, with significant changes in rumen degradability; that most of the analyzed variables were affected linearly, so levels of additive inclusion resulted in satisfactory growth of rumen microorganisms and synchronism between the protein and carbohydrate digestion rates; and that these had important effect on the end products of fermentation and on animal production. This is significant because animals fed diets showing these characteristics can better express their animal performance. The results obtained in this study indicate that the addition of intermediate levels of soybean hulls close to 20–30% ensures better characteristics in the silage of<i> Brachiaria decumbens</i>.
DOI: 10.6084/m9.figshare.12323879
title: Supplementary Table 6

description: Supplementary Table 6 (Day 5 in culture with 5AZA treatment; all significantly hypo and hypermethylated CpG sites) <br>
DOI: 10.6084/m9.figshare.12323882.v1
title: Supplementary Table 7

description: Supplementary Table 7 (Day 6 in culture with 5AZA treatment; all significantly hypo and hypermethylated CpG sites)
DOI: 10.6084/m9.figshare.12323885.v1
title: Supplementary Table 8

description: Supplementary Table 8 (Day 7 in culture with 5AZA treatment; all significantly hypo and hypermethylated CpG sites)
DOI: 10.6084/m9.figshare.12323870
title: Supplementary Table 4

description: Supplementary Table 4 (Hypomethylated CpG sites belonging to specific KO pathways)<br>
DOI: 10.6084/m9.figshare.12323876
title: Supplementary Table 5

description: Supplementary Table 5 (Day 4 in culture with 5AZA treatment; all significantly hypo and hypermethylated CpG sites) <br>
DOI: 10.6084/m9.figshare.12323879.v1
title: Supplementary Table 6

description: Supplementary Table 6 (Day 5 in culture with 5AZA treatment; all significantly hypo and hypermethylated CpG sites) <br>
DOI: 10.6084/m9.figshare.12323846
title: Supplementary Table 3

description: Supplementary Table 3 (all significantly hypermethylated CpG sites across all days in culture with KO annotations). <br>
DOI: 10.6084/m9.figshare.12323876.v1
title: Supplementary Table 5

description: Supplementary Table 5 (Day 4 in culture with 5AZA treatment; all significantly hypo and hypermethylated CpG sites) <br>
DOI: 10.6084/m9.figshare.12323834
title: Supplementary Table 2

description: Supplementary Table 2 (all significantly hypomethylated CpG sites for all days in culture) <br>
DOI: 10.6084/m9.figshare.12323870.v1
title: Supplementary Table 4

description: Supplementary Table 4 (Hypomethylated CpG sites belonging to specific KO pathways)<br>
DOI: 10.6084/m9.figshare.12323825
title: VOC Chemistry Data

description: Files<br>inorganicN_LL.csvcontains ammonium and nitrate concentrations in soils<br>VOCatom.csvContains atom% enrichment of dissolved organic carbon, mineral associate organic matter, particulate organic matter, and microbial biomass<br>Respiration_VOC Leaf LItter05182020.XLSX<br>Respiration Data for 99 day incubation, including litter alone, and litter with soil treatments.mass = CO2-C (ug g dry wt soil-1)rate = CO2-C (ug g dry wt soil-1 h-1)
DOI: 10.6084/m9.figshare.12323825.v1
title: VOC Chemistry Data

description: Files<br>inorganicN_LL.csvcontains ammonium and nitrate concentrations in soils<br>VOCatom.csvContains atom% enrichment of dissolved organic carbon, mineral associate organic matter, particulate organic matter, and microbial biomass<br>Respiration_VOC Leaf LItter05182020.XLSX<br>Respiration Data for 99 day incubation, including litter alone, and litter with soil treatments.mass = CO2-C (ug g dry wt soil-1)rate = CO2-C (ug g dry wt soil-1 h-1)
DOI: 10.6084/m9.figshare.12323846.v1
title: Supplementary Table 3

description: Supplementary Table 3 (all significantly hypermethylated CpG sites across all days in culture with KO annotations). <br>
DOI: 10.6084/m9.figshare.12323813
title: Maximal ray for a droplet of many particles dispersing in anisotropic MHD turbulence

description: This is ASCII data for Figure 5 from Pratt, Busse, Mueller 2020<br>"Lagrangian Statistics for Dispersion in Magnetohydrodynamic<br>Turbulence".<br><br>The figure shows the mean-square maximal ray r of the convex hulls of droplets in three simulations (HPUFF: incompressible isotropic hydrodynamic<br>turbulence, APUFF0: isotropic magnetohydrodynamic turbulence, and<br>APUFF3: anisotropic magnetohydrodynamic turbulence). Droplets with (a) an<br>initial diameter of 4 eta_kol, and (b) an initial diameter<br>of 14 eta_kol.<br><br>
DOI: 10.6084/m9.figshare.12323780
title: CpG results from all days in culture (with and without 5AZA treatment)

description: All called CpG sites from Days 4, 5, 6, 7, and 10 in culture with and without 20 uM 5AZA treatment including KO annotations. <br>
DOI: 10.6084/m9.figshare.12323822
title: Average anisotropy ratio for anisotropic MHD turbulence

description: This is ASCII data for Figure 6 from Pratt, Busse, Mueller 2020 "Lagrangian Statistics for Dispersion in Magnetohydrodynamic Turbulence". Time data is included with Figure 5.<br><br>The figure shows the average anisotropy ratio for three simulations (HPUFF: incompressible isotropic hydrodynamic turbulence, APUFF0: isotropic magnetohydrodynamic turbulence, and APUFF3: anisotropic magnetohydrodynamic turbulence). Plot (a) shows the average anisotropy ratio for droplets with an initial diameter of 4 eta_kol. Plot (b) shows the average anisotropy ratio for droplets with an initial diameter of 14 eta_kol. The density of particles in both sizes of droplet is the same. A shaded area indicating one standard deviation above and below each line is provided.<br>
DOI: 10.6084/m9.figshare.12323744
title: Annexes

description: Supplementary Documents included in the PhD Thesis authored by Emilio Mármol Sánchez (July 2020)
DOI: 10.6084/m9.figshare.12323747
title: Velocity autocorrelation function in anisotropic MHD turbulence

description: This is ASCII data for Figure 2 from Pratt, Busse, Mueller 2020<br>"Lagrangian Statistics for Dispersion in Magnetohydrodynamic<br>Turbulence". The time values are provided with Figure 1.<br><br>The figure shows the evolution of the velocity autocorrelation function<br>for three simulations (HNOVIS: incompressible isotropic hydrodynamic<br>turbulence, ANOVIS0: isotropic magnetohydrodynamic turbulence, and<br>ANOVIS3: anisotropic magnetohydrodynamic turbulence). The velocity<br>autocorrelation function for the anisotropic MHD simulation ANOVIS3 is<br>separated into velocities in the direction parallel and perpendicular to<br>the mean magnetic field. Each curve is produced from the average of<br>at least 4 independent initial times.<br>
DOI: 10.6084/m9.figshare.12323744.v1
title: Annexes

description: Supplementary Documents included in the PhD Thesis authored by Emilio Mármol Sánchez (July 2020)
DOI: 10.6084/m9.figshare.12323375
title: Exploring driving characteristics of fit- and unfit-to-drive neurological patients: a driving simulator study

description: <b>Objective:</b> To identify driving characteristics of fit-, unfit-, and conditionally fit-to-drive neurological patient populations using a driving simulator with three high-risk scenarios comprising rural, highway, and urban environments. <b>Methods:</b> The study included 91 neurological patients undergoing a multidisciplinary assessment for driver’s license revalidation, consisting of a clinical, neuropsychological, functional, and on-road evaluation. The groups drove through three independent driving scenarios, during which a variety of measures describing reaction time, vehicular control, and traffic rule compliance were performed. One-way analysis of variance (ANOVA) with Bonferroni correction was used for group comparison, independently for each driving scenario, and Pearson correlations were calculated between simulator variables and neuropsychological test scores. <b>Results:</b> The fit- and unfit-to-drive population significantly differed (<i>p ) in reaction times, regardless of the scenario. No significant differences in traffic rule compliance or vehicular control parameters were observed in the rural environment (<i>p &gt; .05</i>). On the highway, the unfit group exhibited greater variability of steering wheel angle, higher steering reversal rate, and a higher rate of turn signal errors. In the urban environment, the unfit group oversped more, had more collisions, and exhibited greater lane position variability. The latter, along with reaction times in the rural and highway scenarios, was also shown to significantly differ between the conditional and unfit group (<i>p ). No significant differences were observed between the fit and the conditional group (<i>p &gt; .05</i>). Weak to moderate associations (<i>range: −0.5 to 0.29</i>) between neuropsychological tests and various simulator variables were also observed.</i></i> <b>Conclusions</b>: Our results show that driving simulators are able to capture differences between (fit- and unfit-to-drive) neurological patient populations and therefore bear the potential for being used as a deficit-independent screening, assessment, or rehabilitation tool. The conditionally-fit-to-drive group exhibited less discriminative features, which points to greater importance of human judgment for this population. The observation that differences in most of the parameters were environment-dependent suggests that developers of future driver simulation tools should carefully design scenarios in order to fully exploit their assessment potential.
DOI: 10.6084/m9.figshare.12323567
title: Supplementary material for Unveiling the diversity of Spatial Data Infrastructures in Latin America: Evidence from an exploratory inquiry.

description: Open-regional web-based survey, carried out on 2014, 2017 and 2018-2019. It focused on Latin American Spatial Data Infrastructure community, with the aim to unveil the diverse adoption of geospatial IT trends in Latin America in the context of a new SDI generation, that is, the fourth SDI generation. This exploratory inquiry to the Latin America SDI community was divided into four information blocks: i) trend adoption, ii) standardization, iii) monitoring and reporting, and iv) future vision and limitations.
DOI: 10.6084/m9.figshare.12323363
title: data deposition.xlsx

description: <b>Trajectory of lumbar translaminar facet screw under navigation: a cadaveric study</b><b></b>
DOI: 10.6084/m9.figshare.12323363.v1
title: data deposition.xlsx

description: <b>Trajectory of lumbar translaminar facet screw under navigation: a cadaveric study</b><b></b>
DOI: 10.6084/m9.figshare.12323375.v1
title: Exploring driving characteristics of fit- and unfit-to-drive neurological patients: a driving simulator study

description: <b>Objective:</b> To identify driving characteristics of fit-, unfit-, and conditionally fit-to-drive neurological patient populations using a driving simulator with three high-risk scenarios comprising rural, highway, and urban environments. <b>Methods:</b> The study included 91 neurological patients undergoing a multidisciplinary assessment for driver’s license revalidation, consisting of a clinical, neuropsychological, functional, and on-road evaluation. The groups drove through three independent driving scenarios, during which a variety of measures describing reaction time, vehicular control, and traffic rule compliance were performed. One-way analysis of variance (ANOVA) with Bonferroni correction was used for group comparison, independently for each driving scenario, and Pearson correlations were calculated between simulator variables and neuropsychological test scores. <b>Results:</b> The fit- and unfit-to-drive population significantly differed (<i>p ) in reaction times, regardless of the scenario. No significant differences in traffic rule compliance or vehicular control parameters were observed in the rural environment (<i>p &gt; .05</i>). On the highway, the unfit group exhibited greater variability of steering wheel angle, higher steering reversal rate, and a higher rate of turn signal errors. In the urban environment, the unfit group oversped more, had more collisions, and exhibited greater lane position variability. The latter, along with reaction times in the rural and highway scenarios, was also shown to significantly differ between the conditional and unfit group (<i>p ). No significant differences were observed between the fit and the conditional group (<i>p &gt; .05</i>). Weak to moderate associations (<i>range: −0.5 to 0.29</i>) between neuropsychological tests and various simulator variables were also observed.</i></i> <b>Conclusions</b>: Our results show that driving simulators are able to capture differences between (fit- and unfit-to-drive) neurological patient populations and therefore bear the potential for being used as a deficit-independent screening, assessment, or rehabilitation tool. The conditionally-fit-to-drive group exhibited less discriminative features, which points to greater importance of human judgment for this population. The observation that differences in most of the parameters were environment-dependent suggests that developers of future driver simulation tools should carefully design scenarios in order to fully exploit their assessment potential.
DOI: 10.6084/m9.figshare.12323567.v1
title: Supplementary material for Unveiling the diversity of Spatial Data Infrastructures in Latin America: Evidence from an exploratory inquiry.

description: Open-regional web-based survey, carried out on 2014, 2017 and 2018-2019. It focused on Latin American Spatial Data Infrastructure community, with the aim to unveil the diverse adoption of geospatial IT trends in Latin America in the context of a new SDI generation, that is, the fourth SDI generation. This exploratory inquiry to the Latin America SDI community was divided into four information blocks: i) trend adoption, ii) standardization, iii) monitoring and reporting, and iv) future vision and limitations.
DOI: 10.6084/m9.figshare.12323342
title: Assorted Tree Files

description: unaligned fasta file, alignment file, uncalibrated rooted tree file, time calibrated rooted tree file, and assorted IQTREE results
DOI: 10.6084/m9.figshare.12323297
title: Species Occurrence Metadata

description: Filtered and curated GBIF species occurrence dataset (https://doi.org/10.15468/dl.akr84v) for untitled frog manuscript (in prep)
DOI: 10.6084/m9.figshare.12323342.v1
title: Assorted Tree Files

description: unaligned fasta file, alignment file, uncalibrated rooted tree file, time calibrated rooted tree file, and assorted IQTREE results
DOI: 10.6084/m9.figshare.12323297.v1
title: Species Occurrence Metadata

description: Filtered and curated GBIF species occurrence dataset (https://doi.org/10.15468/dl.akr84v) for untitled frog manuscript (in prep)
DOI: 10.6084/m9.figshare.12320867
title: F-Actin is associated with a worsening qSOFA score and intensive care unit admission in emergency department patients at risk for sepsis

description: <b>Objective:</b> We previously demonstrated that plasma levels of F-actin and Thymosin Beta 4 differs among patients with septic shock, non-infectious systemic inflammatory syndrome and healthy controls and may serve as biomarkers for the diagnosis of sepsis. The current study aims to determine if these proteins are associated with or predictive of illness severity in patients at risk for sepsis in the Emergency Department (ED). <b>Methods:</b> Prospective, biomarker study enrolling patients (&gt;18 years) who met the Shock Precautions on Triage Sepsis rule placing them at-risk for sepsis. <b>Results:</b> In this study of 203 ED patients, F-actin plasma levels had a linear trend of increase when the quick Sequential Organ Failure Assessment (qSOFA) score increased. F-actin was also increased in patients who were admitted to the Intensive Care Unit (ICU) from the ED, and in those with positive urine cultures. Thymosin Beta 4 was not associated with or predictive of any significant outcome measures. <b>Conclusion:</b> Increased levels of plasma F-actin measured in the ED were associated with incremental illness severity as measured by the qSOFA score and need for ICU admission. F-actin may have utility in risk stratification of undifferentiated patients in the ED presenting with signs and symptoms of sepsis.
DOI: 10.6084/m9.figshare.12320846
title: data_epidural_04042020.xls

description: Effect of supraneural transforaminal epidural steroid injection combined with caudal epidural steroid injection with catheter in chronic radicular pain management: Double blinded randomized controlled trial.
DOI: 10.6084/m9.figshare.12320846.v2
title: data_epidural_04042020.xls

description: Effect of supraneural transforaminal epidural steroid injection combined with caudal epidural steroid injection with catheter in chronic radicular pain management: Double blinded randomized controlled trial.
DOI: 10.6084/m9.figshare.12320867.v1
title: F-Actin is Associated with a Worsening qSOFA Score and Intensive Care Unit Admission in Emergency Department Patients at Risk for Sepsis

description: Objective: We previously demonstrated that plasma levels of F-actin and Thymosin Beta 4 differs among patients with septic shock, non-infectious systemic inflammatory syndrome and healthy controls and may serve as biomarkers for the diagnosis of sepsis. The current study aims to determine if these proteins are associated with or predictive of illness severity in patients at risk for sepsis in the Emergency Department (ED). Methods: Prospective, biomarker study enrolling patients (&gt;18 years) who met the Shock Precautions on Triage Sepsis rule placing them at-risk for sepsis. Results: In this study of 203 ED patients, F-actin plasma levels had a linear trend of increase when the quick Sequential Organ Failure Assessment (qSOFA) score increased. F-actin was also increased in patients who were admitted to the Intensive Care Unit (ICU) from the ED, and in those with positive urine cultures. Thymosin Beta 4 was not associated with or predictive of any significant outcome measures. Conclusion: Increased levels of plasma F-actin measured in the ED were associated with incremental illness severity as measured by the qSOFA score and need for ICU admission. F-actin may have utility in risk stratification of undifferentiated patients in the ED presenting with signs and symptoms of sepsis.
DOI: 10.6084/m9.figshare.12320846.v1
title: data_epidural_04042020.xls

description: Effect of supraneural transforaminal epidural steroid injection combined with caudal epidural steroid injection with catheter in chronic radicular pain management: Double blinded randomized controlled trial.
DOI: 10.6084/m9.figshare.12320690
title: Supplemental Table 1_All WGBS Data.xlsx

description: Supplementary Table 1_All cytosine sites called from whole genome bisulfite sequencing analysis (WGBS) <br>
DOI: 10.6084/m9.figshare.12320684
title: Tree_43_9PCG

description: IQ treeBayesPhylobayes
DOI: 10.6084/m9.figshare.12320684.v1
title: Tree_43_9PCG

description: IQ treeBayesPhylobayes
DOI: 10.6084/m9.figshare.12320690.v1
title: Supplemental Table 1_All WGBS Data.xlsx

description: Supplementary Table 1_All cytosine sites called from whole genome bisulfite sequencing analysis (WGBS) <br>
DOI: 10.6084/m9.figshare.12320645
title: saturation

description: PCGs_saturation
DOI: 10.6084/m9.figshare.12320630
title: Bankit

description: SqnBiosample tableSRA table
DOI: 10.6084/m9.figshare.12320645.v1
title: saturation

description: PCGs_saturation
DOI: 10.6084/m9.figshare.12320669
title: Sequence Assembly and Base composition

description: Assembly note including failure of CR Base composition table
DOI: 10.6084/m9.figshare.12320630.v1
title: Bankit

description: SqnBiosample tableSRA table
DOI: 10.6084/m9.figshare.12320669.v1
title: Sequence Assembly and Base composition

description: Assembly note including failure of CR Base composition table
DOI: 10.6084/m9.figshare.12320621
title: Data Matrix_43

description: 43 taxa 9PCG aligned with mafft<br>
DOI: 10.6084/m9.figshare.12320621.v1
title: Data Matrix_43

description: 43 taxa 9PCG aligned with mafft<br>
DOI: 10.6084/m9.figshare.12320603
title: Mitogenome organizations of L. pariaformis, L. clavicornis, L. yaniae

description: Mitogenome organizations of <i>L. pariaformis</i>,<i> L. clavicornis</i>,<i> L. yaniae.</i>
DOI: 10.6084/m9.figshare.12320615
title: Nucleotide composition

description: Nucleotide composition of the mitogenomes of <i>L. pariaformis</i>,<i> L. clavicornis</i>,<i> </i><i>L. yaniae</i><i>.</i>
DOI: 10.6084/m9.figshare.12320597
title: Repression of translation by uORFs is not widespread but highly gene-specific

description: P { margin-bottom: 0.08in } Scer_CDS.gtf : annotation file coding sequences <i>S. cerevisiae</i> Scer_5UTR.gtf: annotation file 5'UTR sequences <i>S. cerevisiae</i> Spom_CDS.gtf: annotation file coding sequences <i>S. pombe</i> Spom_5UTR.gtf: annotation file 5'UTR sequences <i>S. pombe</i> Scer_uORFs.fa: upstream ORF (uORF) sequences <i>S. cerevisiae</i> Spom_uORF.fa: upstresm ORF (uORF) sequences <i>S. pombe</i> Scer.aa-_5UTR_counts.txt: table of counts 5'UTR <i>Scer.aa- </i> Scer.aa-_CDS_counts.txt: table of counts coding sequences <i>Scer.aa-</i> Scer.aa_uORF_counts.txt: table of counts uORFs <i>Scer.aa- </i> Scer.Oxi_5UTR_counts.txt: table of counts 5'UTR <i>Scer.Oxi</i> Scer.Oxi_CDS_counts.txt: table of counts CDS <i>Scer.Oxi</i> Scer.Oxi_uORF_counts.txt: table of counts uORFs <i>Scer.Oxi</i> Spom_N-_5UTR_counts.txt: table of counts 5'UTR <i>Spom.N-</i> Spom_N-_CDS_counts.txt: table of counts CDS <i>Spom.N-</i> Spom_N-_uORF_counts.txt: table of counts uORFs <i>Spom.N-</i> translated_uORF_Spom.N-.txt: modified RibORF output Spom.N- SUB_Scer.aa-_CDS_counts.xls: subsampled table of counts CDS <i>Scer.aa-</i> SUB_Scer.Oxi_CDS_counts.xls: subsampled table of counts CDS <i>Scer.Oxi</i> SUB_Spom.N-_CDS_counts.xls: subsampled table of counts CDS <i>Spom.N-</i> Scer.aa-_DE_genes.xlsx: differentially expressed genes based on CDS counts <i>Scer.aa-</i> Scer.Oxi_DE_genes.xlsx: differentially expressed genes based on CDS counts <i>Scer.Oxi</i> Spom.N-_DE_genes.xlsx: differentially expressed genes based on CDS counts <i>Spom.N-</i> Scer.aa-_TE_genes.xlsx: genes with significantly different TE in stress vs normal <i>Scer.aa-</i> Scer.Oxi_TE_genes.xlsx: genes with significantly different TE in stress vs normal <i>Scer.Oxi</i> Spom.N-_TE_genes.xlsx: genes with significantly different TE in stress vs normal <i>Spom.N-</i>S_5UTR.list: list of S.cerevisiae genes with 5'UTR sequences available<i><br></i>
DOI: 10.6084/m9.figshare.12320603.v1
title: Mitogenome organizations of L. pariaformis, L. clavicornis, L. yaniae

description: Mitogenome organizations of <i>L. pariaformis</i>,<i> L. clavicornis</i>,<i> L. yaniae.</i>
DOI: 10.6084/m9.figshare.12320615.v1
title: Nucleotide composition

description: Nucleotide composition of the mitogenomes of <i>L. pariaformis</i>,<i> L. clavicornis</i>,<i> </i><i>L. yaniae</i><i>.</i>
DOI: 10.6084/m9.figshare.12320585
title: 43 species

description: Summary information of symphytan mitochondrial genomes used in phylogenetic analyses.
DOI: 10.6084/m9.figshare.12320585.v1
title: 43 species

description: Summary information of symphytan mitochondrial genomes used in phylogenetic analyses.