cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25345/c5qj7883j
title: MassIVE MSV000093239 - Datos servicio 22M019 para explicar anotacion
title: Datos del servicio de guadua para revision de anotacion
DOI: 10.6084/m9.figshare.24459763.v1
title: Supplementary Material for: CRISPR/Cas9-editing K562 cell line as a potential tool in transfusion applications: Knockout of Vel Antigen Gene

description: Introduction: The Vel- phenotype is a rare blood group, and it is challenging for identifying this phenotype due to limited available reagents. Moreover, there are relatively few studies on genomic editing of erythroid antigens and generation of KO cell lines at present. Methods: To identify the high efficiency sgRNA sequence, candidate sgRNAs were transfected into HEK 293T cells respectively and analyzed using Sanger sequencing. Following this, the high efficiency sgRNA was transfected into K562 cells using lentivirus transduction to generate knockout Vel blood group gene cells. The expression of Vel protein was detected using western blot on single cell clones. Additionally, flow cytometry was used to detect the erythroid markers CD235a and CD71. Hemoglobin quantification and Giemsa staining were also performed to evaluate the erythroid differentiation of KO clones induced by hemin. Results: The high efficiency sgRNA was successfully obtained and used for CRISPR-Cas9 editing in K562 cells. After limiting dilution and screening, two KO clones had either deleted 2 or 4 bases and showed no expression of the Vel protein. In the hemin-induced KO clone, there was a significant difference in erythroid marker and hemoglobin quantification compared to untreated cells. The morphological changes were also observed for the hemin-induced KO clone. Conclusion: In this study, a highly efficient sgRNA was screened out and used to generate single-cell clones knockout Vel erythroid antigen in K562 cells. The edited cells could then be induced to undergo erythroid differentiation with the use of hemin.
DOI: 10.14272/byhvgqhiafuril-uhfffaoysa-n/chmo0000593.2
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) (2-chloroquinoxaline)
title: InChI=1S/C8H5ClN2/c9-8-5-10-6-3-1-2-4-7(6)11-8/h1-5H

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR) 1H NMR (400 MHz, CDCl3 [7.27 ppm], ppm) δ = 8.75 (s, 1H), 8.12–8.05 (m, 1H), 8.03–7.95 (m, 1H), 7.81–7.71 (m, 2H). Impurities: acetone 1.99 ppm.
DOI: 10.14272/byhvgqhiafuril-uhfffaoysa-n/chmo0000596
title: distortionless enhancement with polarization transfer (DEPT) (2-chloroquinoxaline)
title: InChI=1S/C8H5ClN2/c9-8-5-10-6-3-1-2-4-7(6)11-8/h1-5H

description: dataset for distortionless enhancement with polarization transfer (DEPT)
DOI: 10.14272/byhvgqhiafuril-uhfffaoysa-n.3
title: 2-chloroquinoxaline
title: InChI=1S/C8H5ClN2/c9-8-5-10-6-3-1-2-4-7(6)11-8/h1-5H

description: This is a physical chemical entity[CHEBI_24431] associated with a molecule[CHEBI_25367]. The molecule[CHEBI_25367] can be described by the following structural desciptors[cheminf_000085]: InChI descriptor[cheminf_000113]: InChI=1S/C8H5ClN2/c9-8-5-10-6-3-1-2-4-7(6)11-8/h1-5H, and canonical SMILES descriptor[cheminf_000007]: Clc1cnc2c(n1)cccc2, and by the IUPAC name[cheminf_000107]: 2-chloroquinoxaline. The physical chemical entity[CHEBI_24431] has a component solvent[CHEBI_46787] which is described by the canonical SMILES descriptor[cheminf_000007]: The physical chemical entity[CHEBI_24431] has the following Sample ID as registered in the research data repository chemotion (www.chemotion-repository.net, https://doi.org/10.25504/FAIRsharing.iagXcR): CRS-26797 The physical chemical entity[CHEBI_24431] can be described by the physical descriptors [CHEMINF_000025]: Melting point descriptor[CHEMINF_000256]: 47.0 - 48.0 (°C) Boiling point descriptor[CHEMINF_000257]: Refractive index descriptor[CHEMINF_000253]: The physical chemical entity[CHEBI_24431] can be further described by the following assays[OBI:0000070][CHMO:0001133]: CHMO:0000470 | mass spectrometry (MS) CHMO:0000630 | infrared absorption spectroscopy (IR) CHMO:0000593 | 1H nuclear magnetic resonance spectroscopy (1H NMR) CHMO:0000595 | 13C nuclear magnetic resonance spectroscopy (13C NMR) CHMO:0000596 | distortionless enhancement with polarization transfer (DEPT) CHMO:0000596 | distortionless enhancement with polarization transfer (DEPT) The physical chemical entity[CHEBI_24431] was deposited to the Molecule Archive of the Karlsruhe Insitute of Technology (KIT) with the following Sample ID: Used ontologies: CHEBI - Chemical Entities of Biological Interest CHEMINF - chemical information ontology (information entities about chemical entities) CHMO - Chemical Methods Ontology OBI - Ontology for Biomedical Investigations
DOI: 10.6084/m9.figshare.12750408
title: Additional file 2 of Ecomorphological divergence and habitat lability in the context of robust patterns of modularity in the cichlid feeding apparatus

description: Additional file 2.
DOI: 10.6084/m9.figshare.12750408.v1
title: Additional file 2 of Ecomorphological divergence and habitat lability in the context of robust patterns of modularity in the cichlid feeding apparatus

description: Additional file 2.
DOI: 10.6084/m9.figshare.12750396
title: Additional file 1 of Efficacy of a low dose fipronil bait against blacklegged tick (Ixodes scapularis) larvae feeding on white-footed mice (Peromyscus leucopus) under laboratory conditions

description: Additional file 1: Table S1. Study schedule providing the specific timing of acclimation, exposure, post-exposure, tick attachment, and post-tick attachment for each test group.
DOI: 10.6084/m9.figshare.12750396.v1
title: Additional file 1 of Efficacy of a low dose fipronil bait against blacklegged tick (Ixodes scapularis) larvae feeding on white-footed mice (Peromyscus leucopus) under laboratory conditions

description: Additional file 1: Table S1. Study schedule providing the specific timing of acclimation, exposure, post-exposure, tick attachment, and post-tick attachment for each test group.
DOI: 10.6084/m9.figshare.12750390
title: Additional file 4 of Meta-analysis of mouse transcriptomic studies supports a context-dependent astrocyte reaction in acute CNS injury versus neurodegeneration

description: Additional file 4: Table S1.
DOI: 10.6084/m9.figshare.12750390.v1
title: Additional file 4 of Meta-analysis of mouse transcriptomic studies supports a context-dependent astrocyte reaction in acute CNS injury versus neurodegeneration

description: Additional file 4: Table S1.
DOI: 10.6084/m9.figshare.12750392
title: Additional file 1 of Disparity of perspectives between teachers and learners on perioperative teaching and learning

description: Additional file 1.
DOI: 10.6084/m9.figshare.12750392.v1
title: Additional file 1 of Disparity of perspectives between teachers and learners on perioperative teaching and learning

description: Additional file 1.
DOI: 10.6084/m9.figshare.12750363
title: Additional file 1 of Multisystemic manifestations in a cohort of 75 classical Ehlers-Danlos syndrome patients: natural history and nosological perspectives

description: Additional file 1: Table 1. Clinical and molecular features of all cEDS patients.
DOI: 10.6084/m9.figshare.12750363.v1
title: Additional file 1 of Multisystemic manifestations in a cohort of 75 classical Ehlers-Danlos syndrome patients: natural history and nosological perspectives

description: Additional file 1: Table 1. Clinical and molecular features of all cEDS patients.
DOI: 10.6084/m9.figshare.12750321
title: Additional file 1 of Genome-wide scan for common variants associated with intramuscular fat and moisture content in rainbow trout

description: Additional file 1: Table S1. Genetic variance for fat content explained by all SNP markers in genomic sliding windows. Table S2. SNP markers in genomic sliding windows explaining at least 2% of the genetic variance for fat content. Table S3. Genetic variance for moisture content explained by all SNP markers in genomic sliding windows. Table S4. SNP markers in genomic sliding windows explaining at least 2% of the genetic variance for moisture content. Table S5. SNP markers significantly associated with variability in fat content (highlighted in yellow) using family-based association analysis. Table S6. SNP markers significantly associated with variability in moisture content (highlighted in yellow) using family-based association analysis.
DOI: 10.6084/m9.figshare.12750323
title: Additional file 1 of Increases in soil and woody biomass carbon stocks as a result of rangeland riparian restoration

description: Additional file 1: Archived data. Archived data to accompany CBAM-D-19-00053, “Increases in soil and woody biomass carbon stocks as a result of rangeland riparian restoration.” Consists of 4 sheets of data, “individual tree measurements,” “soil carbon by age & success,” “soil properties by landform,” and “biomass C by age and success,” plus a “metadata” sheet explaining all the abbreviations in the other sheets.
DOI: 10.6084/m9.figshare.12750321.v1
title: Additional file 1 of Genome-wide scan for common variants associated with intramuscular fat and moisture content in rainbow trout

description: Additional file 1: Table S1. Genetic variance for fat content explained by all SNP markers in genomic sliding windows. Table S2. SNP markers in genomic sliding windows explaining at least 2% of the genetic variance for fat content. Table S3. Genetic variance for moisture content explained by all SNP markers in genomic sliding windows. Table S4. SNP markers in genomic sliding windows explaining at least 2% of the genetic variance for moisture content. Table S5. SNP markers significantly associated with variability in fat content (highlighted in yellow) using family-based association analysis. Table S6. SNP markers significantly associated with variability in moisture content (highlighted in yellow) using family-based association analysis.
DOI: 10.6084/m9.figshare.12750323.v1
title: Additional file 1 of Increases in soil and woody biomass carbon stocks as a result of rangeland riparian restoration

description: Additional file 1: Archived data. Archived data to accompany CBAM-D-19-00053, “Increases in soil and woody biomass carbon stocks as a result of rangeland riparian restoration.” Consists of 4 sheets of data, “individual tree measurements,” “soil carbon by age & success,” “soil properties by landform,” and “biomass C by age and success,” plus a “metadata” sheet explaining all the abbreviations in the other sheets.
DOI: 10.6084/m9.figshare.12750233
title: Additional file 3 of Global prevalence and mortality of severe Plasmodium malariae infection: a systematic review and meta-analysis

description: Additional file 3. Data for calculate the pooled prevalence estimate of complications for P. malariae malaria.
DOI: 10.6084/m9.figshare.12750233.v1
title: Additional file 3 of Global prevalence and mortality of severe Plasmodium malariae infection: a systematic review and meta-analysis

description: Additional file 3. Data for calculate the pooled prevalence estimate of complications for P. malariae malaria.
DOI: 10.6084/m9.figshare.12750230
title: Additional file 2 of Global prevalence and mortality of severe Plasmodium malariae infection: a systematic review and meta-analysis

description: Additional file 2. Data for calculate the pooled prevalence estimate of severe P. malariae infection.
DOI: 10.6084/m9.figshare.12750230.v1
title: Additional file 2 of Global prevalence and mortality of severe Plasmodium malariae infection: a systematic review and meta-analysis

description: Additional file 2. Data for calculate the pooled prevalence estimate of severe P. malariae infection.
DOI: 10.6084/m9.figshare.12750212
title: Additional file 3 of Epigenetic measures of ageing predict the prevalence and incidence of leading causes of death and disease burden

description: Additional file 3. Supplementary Tables. The associations between epigenetic measures of ageing and disease phenotypes in the discovery cohort (Bonferroni-corrected threshold: P &lt; 2.54 x 10-4; significant results are emboldened). (Table S1). The associations between epigenetic measures of ageing and continuous phenotypes in the discovery cohort (Bonferroni-corrected threshold: P &lt; 2.54 x 10-4; significant results are emboldened). (Table S2). The associations between epigenetic measures of ageing and all-cause mortality in the discovery cohort (Bonferroni-corrected threshold: P &lt; 2.54 x 10-4; significant results are emboldened). (Table S3). Associations between significant phenotypes (identified in the discovery set) and epigenetic measures of ageing in the replication cohort at P &lt; 6.41 x 10-4. (Table S4). Discovery Cohort: Associations between phenotypes (significant in basic model) and epigenetic measures of ageing in a fully-adjusted model (Bonferroni threshold: P &lt; 6.41 x 10-4). (Table S5). Replication Cohort: Associations between phenotypes (significant in basic model) and epigenetic measures of ageing in a fully-adjusted model (Bonferroni threshold: P &lt; 6.41 x 10-4). (Table S6). Covariate-specific analyses of trait-epigenetic age relationship attenuation in the discovery cohort. (Table S7). Covariate-specific analyses of trait-epigenetic age relationship attenuation in the replication cohort. (Table S8). The associations between epigenetic measures of ageing calculated at study baseline and ICD-10-coded incident disease data in Generation Scotland in a basic model adjusted for age and sex. Significant associations that survived a multiple testing correction threshold of 8.33 x 10-4 (0.05/60 tests) are emboldened. Nominally significant associations are italicised. (Table S9). The associations between epigenetic measures of ageing measured at study baseline and ICD-10-coded incident disease data in Generation Scotland in a fully-adjusted model adjusted for age, sex and common disease risk factors. Significant associations that survived a multiple testing correction threshold of 8.33 x 10-4 (0.05/60 tests) are emboldened. Nominally significant associations are italicised. (Table S10). Sex-specific differences in categorical phenotype-epigenetic age relationships within the discovery cohort. (Table S11).
DOI: 10.6084/m9.figshare.12750212.v1
title: Additional file 3 of Epigenetic measures of ageing predict the prevalence and incidence of leading causes of death and disease burden

description: Additional file 3. Supplementary Tables. The associations between epigenetic measures of ageing and disease phenotypes in the discovery cohort (Bonferroni-corrected threshold: P &lt; 2.54 x 10-4; significant results are emboldened). (Table S1). The associations between epigenetic measures of ageing and continuous phenotypes in the discovery cohort (Bonferroni-corrected threshold: P &lt; 2.54 x 10-4; significant results are emboldened). (Table S2). The associations between epigenetic measures of ageing and all-cause mortality in the discovery cohort (Bonferroni-corrected threshold: P &lt; 2.54 x 10-4; significant results are emboldened). (Table S3). Associations between significant phenotypes (identified in the discovery set) and epigenetic measures of ageing in the replication cohort at P &lt; 6.41 x 10-4. (Table S4). Discovery Cohort: Associations between phenotypes (significant in basic model) and epigenetic measures of ageing in a fully-adjusted model (Bonferroni threshold: P &lt; 6.41 x 10-4). (Table S5). Replication Cohort: Associations between phenotypes (significant in basic model) and epigenetic measures of ageing in a fully-adjusted model (Bonferroni threshold: P &lt; 6.41 x 10-4). (Table S6). Covariate-specific analyses of trait-epigenetic age relationship attenuation in the discovery cohort. (Table S7). Covariate-specific analyses of trait-epigenetic age relationship attenuation in the replication cohort. (Table S8). The associations between epigenetic measures of ageing calculated at study baseline and ICD-10-coded incident disease data in Generation Scotland in a basic model adjusted for age and sex. Significant associations that survived a multiple testing correction threshold of 8.33 x 10-4 (0.05/60 tests) are emboldened. Nominally significant associations are italicised. (Table S9). The associations between epigenetic measures of ageing measured at study baseline and ICD-10-coded incident disease data in Generation Scotland in a fully-adjusted model adjusted for age, sex and common disease risk factors. Significant associations that survived a multiple testing correction threshold of 8.33 x 10-4 (0.05/60 tests) are emboldened. Nominally significant associations are italicised. (Table S10). Sex-specific differences in categorical phenotype-epigenetic age relationships within the discovery cohort. (Table S11).
DOI: 10.6084/m9.figshare.12750201
title: Additional file 1 of High fecal carriage of extended Beta Lactamase producing Enterobacteriaceae among adult patients admitted in referral hospitals in Dar es Salaam, Tanzania

description: Additional file 1. Raw data for ESBL-PE among adult patients in Dar es Salaam Tanzania. Additional file 1 is an excel spreadsheet with the data obtained from admitted adult patients in three different hospitals in Dar es salaam Tanzania. All provided data was analyzed using SPSS software and generated results reported in this manuscript.
DOI: 10.6084/m9.figshare.12750198
title: Additional file 1 of Semi-field evaluation of freestanding transfluthrin passive emanators and the BG sentinel trap as a “push-pull control strategy” against Aedes aegypti mosquitoes

description: Additional file 1: Dataset S1. The dataset from the semi-field evaluation of the push pull for the control of outdoor biting mosquitoes that support the conclusions of this article.
DOI: 10.6084/m9.figshare.12750198.v1
title: Additional file 1 of Semi-field evaluation of freestanding transfluthrin passive emanators and the BG sentinel trap as a “push-pull control strategy” against Aedes aegypti mosquitoes

description: Additional file 1: Dataset S1. The dataset from the semi-field evaluation of the push pull for the control of outdoor biting mosquitoes that support the conclusions of this article.
DOI: 10.6084/m9.figshare.12750201.v1
title: Additional file 1 of High fecal carriage of extended Beta Lactamase producing Enterobacteriaceae among adult patients admitted in referral hospitals in Dar es Salaam, Tanzania

description: Additional file 1. Raw data for ESBL-PE among adult patients in Dar es Salaam Tanzania. Additional file 1 is an excel spreadsheet with the data obtained from admitted adult patients in three different hospitals in Dar es salaam Tanzania. All provided data was analyzed using SPSS software and generated results reported in this manuscript.
DOI: 10.6084/m9.figshare.12750162
title: Additional file 1 of Fluorescent bead-based serological detection of Toxoplasma gondii infection in chickens

description: Additional file 1: Table S1. Data table containing information and serological results on experimental chickens. Table S2. Data table containing information and serological results on naturally exposed chickens.
DOI: 10.6084/m9.figshare.12750162.v1
title: Additional file 1 of Fluorescent bead-based serological detection of Toxoplasma gondii infection in chickens

description: Additional file 1: Table S1. Data table containing information and serological results on experimental chickens. Table S2. Data table containing information and serological results on naturally exposed chickens.
DOI: 10.6084/m9.figshare.12750153
title: Additional file 3 of A modular framework for the development of targeted Covid-19 blood transcript profiling panels

description: Additional file 3. Composition and annotation of the 382 module repertoire employed as a framework for the selection of targeted Covid-19 blood transcriptional panels. Membership to the 28 Covid-19 module sets is indicated in column D.
DOI: 10.6084/m9.figshare.12750153.v1
title: Additional file 3 of A modular framework for the development of targeted Covid-19 blood transcript profiling panels

description: Additional file 3. Composition and annotation of the 382 module repertoire employed as a framework for the selection of targeted Covid-19 blood transcriptional panels. Membership to the 28 Covid-19 module sets is indicated in column D.
DOI: 10.6084/m9.figshare.12750146
title: Additional file 1 of Transient ocular surface non-perfusion during cataract phacoemulsification surgery

description: Additional file 1.
DOI: 10.6084/m9.figshare.12750146.v1
title: Additional file 1 of Transient ocular surface non-perfusion during cataract phacoemulsification surgery

description: Additional file 1.
DOI: 10.6084/m9.figshare.12750093
title: Additional file 2 of Doubly robust estimator of risk in the presence of censoring dependent on time-varying covariates: application to a primary prevention trial for coronary events with pravastatin

description: Additional file 2.
DOI: 10.6084/m9.figshare.12750093.v1
title: Additional file 2 of Doubly robust estimator of risk in the presence of censoring dependent on time-varying covariates: application to a primary prevention trial for coronary events with pravastatin

description: Additional file 2.
DOI: 10.6084/m9.figshare.12750059
title: Additional file 1 of A new bonded silica based on an amino acid derivative as a TLC stationary phase to solve nitrophenol structural isomerism and ibuprofen stereoisomerism

description: Additional file 1: SSA Determination
DOI: 10.6084/m9.figshare.12750059.v1
title: Additional file 1 of A new bonded silica based on an amino acid derivative as a TLC stationary phase to solve nitrophenol structural isomerism and ibuprofen stereoisomerism

description: Additional file 1: SSA Determination
DOI: 10.6084/m9.figshare.12749924
title: Data availability Pallett et al. DDX50 is a viral restriction factor that enhances TRIF-dependent IRF3 activation.xlsx

description: All raw data underlying reported findings
DOI: 10.6084/m9.figshare.12749924.v1
title: Data availability Pallett et al. DDX50 is a viral restriction factor that enhances TRIF-dependent IRF3 activation.xlsx

description: All raw data underlying reported findings
DOI: 10.6084/m9.figshare.12749807
title: Gene database of Methanobrevibacter smithii ATCC 35061

description: The predominant archaeon in the human gut, <i>Methanobrevibacter smithii</i> is a methanogen and hydrogentroph that plays a very important metabolic role in human gut homeostasis. Specifically, <i>M. smithii</i> helps digest complex polysaccharides in the human diet. But, it plays perhaps a more important role in enabling the conversion of hydrogen produced by other members of the gut microbiota into methane through reaction with carbon dioxide. This helps improve the extraction of energy in bacterial fermentations through generation of more oxidized end products. This work sought to provide foundational information of the genetic repertoire of <i>M. smithii</i> ATCC 35061 by parsing its annotated genome sequence downloaded from Genbank. Comprising gene name, gene function and gene sequence, the resource should find use in a variety of molecular cloning work seeking to exploit the biotechnological potential of the bacterium particularly with respect to hydrogentrophy. But, the dataset should also inform fundamental studies into how evolution affords the streamlined genome of <i>M. smithii</i> to encode important functions in the modern day gut microbiome.
DOI: 10.6084/m9.figshare.12749780
title: S288C_reference_genome_Current_Release.tgz

description: S288C reference genome