cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.10252316
title: MOESM3 of gRNA validation for wheat genome editing with the CRISPR-Cas9 system

description: Additional file 3. Forward and reverse Sanger sequence reads of homoeoallele-specific amplicons derived from protoplasts treated with gRNA1.
DOI: 10.6084/m9.figshare.10252322.v1
title: MOESM4 of gRNA validation for wheat genome editing with the CRISPR-Cas9 system

description: Additional file 4. Forward and reverse Sanger sequence reads of homoeoallele-specific amplicons derived from protoplasts treated with gRNA2.
DOI: 10.6084/m9.figshare.10252316.v1
title: MOESM3 of gRNA validation for wheat genome editing with the CRISPR-Cas9 system

description: Additional file 3. Forward and reverse Sanger sequence reads of homoeoallele-specific amplicons derived from protoplasts treated with gRNA1.
DOI: 10.6084/m9.figshare.10252283
title: MOESM15 of gRNA validation for wheat genome editing with the CRISPR-Cas9 system

description: Additional file 15. CRISPResso allele frequency tables used for analysis of large insertions (â Ľ20â bp) induced by gRNA2 and gRNA5 in replicate 3.
DOI: 10.6084/m9.figshare.10252283.v1
title: MOESM15 of gRNA validation for wheat genome editing with the CRISPR-Cas9 system

description: Additional file 15. CRISPResso allele frequency tables used for analysis of large insertions (â Ľ20â bp) induced by gRNA2 and gRNA5 in replicate 3.
DOI: 10.6084/m9.figshare.10252271
title: MOESM14 of gRNA validation for wheat genome editing with the CRISPR-Cas9 system

description: Additional file 14. CRISPResso NHEJ pie charts.
DOI: 10.6084/m9.figshare.10252265
title: MOESM13 of gRNA validation for wheat genome editing with the CRISPR-Cas9 system

description: Additional file 13. CRISPResso allele frequency tables used for analysis of indels induced by gRNA2 in replicate 1.
DOI: 10.6084/m9.figshare.10252271.v1
title: MOESM14 of gRNA validation for wheat genome editing with the CRISPR-Cas9 system

description: Additional file 14. CRISPResso NHEJ pie charts.
DOI: 10.6084/m9.figshare.10252265.v1
title: MOESM13 of gRNA validation for wheat genome editing with the CRISPR-Cas9 system

description: Additional file 13. CRISPResso allele frequency tables used for analysis of indels induced by gRNA2 in replicate 1.
DOI: 10.6084/m9.figshare.10252241
title: MOESM10 of gRNA validation for wheat genome editing with the CRISPR-Cas9 system

description: Additional file 10. Forward and reverse Sanger sequence reads of homoeoallele-specific amplicons derived from protoplasts treated with a non-targeting (random guide sequence) negative control gRNA.
DOI: 10.6084/m9.figshare.10252241.v1
title: MOESM10 of gRNA validation for wheat genome editing with the CRISPR-Cas9 system

description: Additional file 10. Forward and reverse Sanger sequence reads of homoeoallele-specific amplicons derived from protoplasts treated with a non-targeting (random guide sequence) negative control gRNA.
DOI: 10.6084/m9.figshare.10252106
title: MOESM6 of A genome-wide DNA methylation signature for SETD1B-related syndrome

description: Additional file 6: Table S6. Contains adjusted P-values for M values and empirical p-values for 3340 significant differentially methylated CpGs calculated in the SETD1B-related group analysis and permutation analysis, respectively.
DOI: 10.6084/m9.figshare.10252106.v1
title: MOESM6 of A genome-wide DNA methylation signature for SETD1B-related syndrome

description: Additional file 6: Table S6. Contains adjusted P-values for M values and empirical p-values for 3340 significant differentially methylated CpGs calculated in the SETD1B-related group analysis and permutation analysis, respectively.
DOI: 10.6084/m9.figshare.10252100
title: MOESM5 of A genome-wide DNA methylation signature for SETD1B-related syndrome

description: Additional file 5: Table S5. The list of 502 samples used in the examination of the specificity of the SETD1B-related DNAm signature.
DOI: 10.6084/m9.figshare.10252091
title: MOESM4 of A genome-wide DNA methylation signature for SETD1B-related syndrome

description: Additional file 4: Table S4. Cohort details.
DOI: 10.6084/m9.figshare.10252100.v1
title: MOESM5 of A genome-wide DNA methylation signature for SETD1B-related syndrome

description: Additional file 5: Table S5. The list of 502 samples used in the examination of the specificity of the SETD1B-related DNAm signature.
DOI: 10.6084/m9.figshare.10252091.v1
title: MOESM4 of A genome-wide DNA methylation signature for SETD1B-related syndrome

description: Additional file 4: Table S4. Cohort details.
DOI: 10.6084/m9.figshare.10252073
title: MOESM2 of A genome-wide DNA methylation signature for SETD1B-related syndrome

description: Additional file 2: Table S2. Significant differentially methylated CpGs identified in the SETD1B-related group analysis.
DOI: 10.6084/m9.figshare.10252082
title: MOESM3 of A genome-wide DNA methylation signature for SETD1B-related syndrome

description: Additional file 3: Table S3. Significant differentially methylated CpGs identified in the KDM2B-related group analysis.
DOI: 10.6084/m9.figshare.10252082.v1
title: MOESM3 of A genome-wide DNA methylation signature for SETD1B-related syndrome

description: Additional file 3: Table S3. Significant differentially methylated CpGs identified in the KDM2B-related group analysis.
DOI: 10.6084/m9.figshare.10252070
title: MOESM1 of A genome-wide DNA methylation signature for SETD1B-related syndrome

description: Additional file 1: Table S1. The estimation of the cell types distribution and the calculation of P-values of the cell types distribution.
DOI: 10.6084/m9.figshare.10252073.v1
title: MOESM2 of A genome-wide DNA methylation signature for SETD1B-related syndrome

description: Additional file 2: Table S2. Significant differentially methylated CpGs identified in the SETD1B-related group analysis.
DOI: 10.6084/m9.figshare.10252070.v1
title: MOESM1 of A genome-wide DNA methylation signature for SETD1B-related syndrome

description: Additional file 1: Table S1. The estimation of the cell types distribution and the calculation of P-values of the cell types distribution.
DOI: 10.6084/m9.figshare.10252013
title: MOESM3 of Cox regression increases power to detect genotype-phenotype associations in genomic studies using the electronic health record

description: Additional file 3: Table S2. Mapping between phecodes and GWAS Catalog study accessions.
DOI: 10.6084/m9.figshare.10252004
title: MOESM1 of Cox regression increases power to detect genotype-phenotype associations in genomic studies using the electronic health record

description: Additional file 1: Table S1. Information for each of the 50 phenotypes.
DOI: 10.6084/m9.figshare.10252004.v1
title: MOESM1 of Cox regression increases power to detect genotype-phenotype associations in genomic studies using the electronic health record

description: Additional file 1: Table S1. Information for each of the 50 phenotypes.
DOI: 10.6084/m9.figshare.10252013.v1
title: MOESM3 of Cox regression increases power to detect genotype-phenotype associations in genomic studies using the electronic health record

description: Additional file 3: Table S2. Mapping between phecodes and GWAS Catalog study accessions.
DOI: 10.6084/m9.figshare.10251848
title: MOESM4 of High frequency of horizontal transfer in Jockey families (LINE order) of drosophilids

description: Additional file 4: Data S1. Sequences of the transcriptase reverse gene from 111 families of Jockey clade downloaded from Repbase database [16] that occurs in species of the genus Drosophila.
DOI: 10.6084/m9.figshare.10251851
title: MOESM5 of A bacterial assay for rapid screening of IAA catabolic enzymes

description: Additional file 5: Dataset S1. Raw data from mass spectrometry analysis.
DOI: 10.6084/m9.figshare.10251848.v1
title: MOESM4 of High frequency of horizontal transfer in Jockey families (LINE order) of drosophilids

description: Additional file 4: Data S1. Sequences of the transcriptase reverse gene from 111 families of Jockey clade downloaded from Repbase database [16] that occurs in species of the genus Drosophila.
DOI: 10.6084/m9.figshare.10251851.v1
title: MOESM5 of A bacterial assay for rapid screening of IAA catabolic enzymes

description: Additional file 5: Dataset S1. Raw data from mass spectrometry analysis.
DOI: 10.6084/m9.figshare.10251839
title: MOESM3 of A bacterial assay for rapid screening of IAA catabolic enzymes

description: Additional file 3: Table S2. List of targeted compounds with their respective retention times (RT) and MRM transition. Indole-3-acetic acid (IAA), oxindole-3-acetic acid (oxIAA), indole-3-acetyl-l-aspartic acid (IAAsp), indole-3-acetyl glutamic acid (IAGlu), indole-3-acetyl-1-glucosyl ester (IAGlc) and oxindole-3-acetyl-1-glucosyl ester (oxIAGlc).
DOI: 10.6084/m9.figshare.10251833
title: MOESM2 of High frequency of horizontal transfer in Jockey families (LINE order) of drosophilids

description: Additional file 2: Table S1. Pairwise distances (p-distances) between 72 Jockey families. Table S2. Pairwise distances (p-distances) and similarity (1-p*100) within 72 Jockey families.
DOI: 10.6084/m9.figshare.10251839.v1
title: MOESM3 of A bacterial assay for rapid screening of IAA catabolic enzymes

description: Additional file 3: Table S2. List of targeted compounds with their respective retention times (RT) and MRM transition. Indole-3-acetic acid (IAA), oxindole-3-acetic acid (oxIAA), indole-3-acetyl-l-aspartic acid (IAAsp), indole-3-acetyl glutamic acid (IAGlu), indole-3-acetyl-1-glucosyl ester (IAGlc) and oxindole-3-acetyl-1-glucosyl ester (oxIAGlc).
DOI: 10.6084/m9.figshare.10251821
title: MOESM1 of High frequency of horizontal transfer in Jockey families (LINE order) of drosophilids

description: Additional file 1: Table S1. Genome accessions for 48 species analysed. Table S2. Species of the genus Drosophila and Zaprionus analysed in this study, its hierarchical divisions and geographical origin. Table S3. Number of Jockey families and classification after phylogenetic analyses in 41 species of Drosophilidae. Table S4. Orthologous single copy genes vertically-transmitted genes used for each species used for the VHICA analyses. Table S5. Accession of Amyrel sequences used for reconstructing the species phylogeny.
DOI: 10.6084/m9.figshare.10251833.v1
title: MOESM2 of High frequency of horizontal transfer in Jockey families (LINE order) of drosophilids

description: Additional file 2: Table S1. Pairwise distances (p-distances) between 72 Jockey families. Table S2. Pairwise distances (p-distances) and similarity (1-p*100) within 72 Jockey families.
DOI: 10.6084/m9.figshare.10251821.v1
title: MOESM1 of High frequency of horizontal transfer in Jockey families (LINE order) of drosophilids

description: Additional file 1: Table S1. Genome accessions for 48 species analysed. Table S2. Species of the genus Drosophila and Zaprionus analysed in this study, its hierarchical divisions and geographical origin. Table S3. Number of Jockey families and classification after phylogenetic analyses in 41 species of Drosophilidae. Table S4. Orthologous single copy genes vertically-transmitted genes used for each species used for the VHICA analyses. Table S5. Accession of Amyrel sequences used for reconstructing the species phylogeny.
DOI: 10.6084/m9.figshare.10251815
title: MOESM1 of A bacterial assay for rapid screening of IAA catabolic enzymes

description: Additional file 1: Table S1. List of primers used in this work for cloning.
DOI: 10.6084/m9.figshare.10251815.v1
title: MOESM1 of A bacterial assay for rapid screening of IAA catabolic enzymes

description: Additional file 1: Table S1. List of primers used in this work for cloning.
DOI: 10.6084/m9.figshare.10251755
title: MOESM2 of The work, goals, challenges, achievements, and recommendations of orphan medicinal product organizations in India: an interview-based study

description: Additional file 2. Details of the interview. The title of each sheet is listed below. Each sheet may contain up to 12 columns, capturing all the questions from the relevant section of the questionnaire. (i) Details of each OMPO, (ii) products or service details, (iii) products or services available to patients, (iv) products in development, (v) production process details, (vi) collaborations, (vii) technical know-how, (viii) government support, (ix) IP issues, (x) challenges.
DOI: 10.6084/m9.figshare.10251755.v1
title: MOESM2 of The work, goals, challenges, achievements, and recommendations of orphan medicinal product organizations in India: an interview-based study

description: Additional file 2. Details of the interview. The title of each sheet is listed below. Each sheet may contain up to 12 columns, capturing all the questions from the relevant section of the questionnaire. (i) Details of each OMPO, (ii) products or service details, (iii) products or services available to patients, (iv) products in development, (v) production process details, (vi) collaborations, (vii) technical know-how, (viii) government support, (ix) IP issues, (x) challenges.
DOI: 10.6084/m9.figshare.10251689
title: MOESM7 of Genomic analyses of Burkholderia cenocepacia reveal multiple species with differential host-adaptation to plants and humans

description: Additional file 7: Table S4. Specific core-genomes of B. cenocepacia and Burkholderia sp. nov. Each gene is detailed with its function, abundance within the species and average length. Their presence within a genome is marked with an â Xâ . The genes further described in the study are highlighted in yellow.
DOI: 10.6084/m9.figshare.10251683
title: MOESM6 of Genomic analyses of Burkholderia cenocepacia reveal multiple species with differential host-adaptation to plants and humans

description: Additional file 6: Table S3. Additional genomic information on all available B. cenocepacia strains. Each strain is detailed with its specific affiliation, genome completeness, genomic size, GC content, genomic architecture, number of genomic scaffolds, gene count and protein count. The 31 strains used in the study are highlighted in yellow.
DOI: 10.6084/m9.figshare.10251689.v1
title: MOESM7 of Genomic analyses of Burkholderia cenocepacia reveal multiple species with differential host-adaptation to plants and humans

description: Additional file 7: Table S4. Specific core-genomes of B. cenocepacia and Burkholderia sp. nov. Each gene is detailed with its function, abundance within the species and average length. Their presence within a genome is marked with an â Xâ . The genes further described in the study are highlighted in yellow.
DOI: 10.6084/m9.figshare.10251677
title: MOESM5 of Genomic analyses of Burkholderia cenocepacia reveal multiple species with differential host-adaptation to plants and humans

description: Additional file 5: Table S2. Detailed whole genome comparison data. Percentage identity and percentage coverage values for the ANIb and ANIm approaches as well as percentage identity for the dDDH approach. Taxonomic classification of strains 869â T2, DS 22E-1 and DWS 37E-2 based on their genomic alignment with B. seminalis, B. pseudomultivorans and B. latens respectively as estimated by ANIb.
DOI: 10.6084/m9.figshare.10251671
title: MOESM4 of Genomic analyses of Burkholderia cenocepacia reveal multiple species with differential host-adaptation to plants and humans

description: Additional file 4: Table S1. Core-genome of the 31 B. cenocepacia strains. The 1065 genes used in the MLSA approach are detailed with their function, average gene length and nucleotide sequence.
DOI: 10.6084/m9.figshare.10251683.v1
title: MOESM6 of Genomic analyses of Burkholderia cenocepacia reveal multiple species with differential host-adaptation to plants and humans

description: Additional file 6: Table S3. Additional genomic information on all available B. cenocepacia strains. Each strain is detailed with its specific affiliation, genome completeness, genomic size, GC content, genomic architecture, number of genomic scaffolds, gene count and protein count. The 31 strains used in the study are highlighted in yellow.
DOI: 10.6084/m9.figshare.10251677.v1
title: MOESM5 of Genomic analyses of Burkholderia cenocepacia reveal multiple species with differential host-adaptation to plants and humans

description: Additional file 5: Table S2. Detailed whole genome comparison data. Percentage identity and percentage coverage values for the ANIb and ANIm approaches as well as percentage identity for the dDDH approach. Taxonomic classification of strains 869â T2, DS 22E-1 and DWS 37E-2 based on their genomic alignment with B. seminalis, B. pseudomultivorans and B. latens respectively as estimated by ANIb.
DOI: 10.6084/m9.figshare.10251671.v1
title: MOESM4 of Genomic analyses of Burkholderia cenocepacia reveal multiple species with differential host-adaptation to plants and humans

description: Additional file 4: Table S1. Core-genome of the 31 B. cenocepacia strains. The 1065 genes used in the MLSA approach are detailed with their function, average gene length and nucleotide sequence.
DOI: 10.6084/m9.figshare.10251278
title: observations of temperature

description: The observational dataset is provided by National Meteorological Information Center of China Meteorological Administration.
DOI: 10.6084/m9.figshare.10251068
title: Russell et al_AJP Cell Physiol data

description: Raw data for manuscript titled "Cardiomyoblast caveolin expression: Effects if siulated diabetes, alpha-linolenic acid and cell signaling pathways" submitted to AJP - Cell Physiol.
DOI: 10.6084/m9.figshare.10251056
title: All collection Data (Sara & Ashir)

description: all the data collection for all the buildings/faculties across the 4 weeks of observation by Sara and Ashir.
DOI: 10.6084/m9.figshare.10251068.v1
title: Russell et al_AJP Cell Physiol data

description: Raw data for manuscript titled "Cardiomyoblast caveolin expression in simulated diabetes: Influences of alpha-linolenic acid and signaling pathways" submitted to AJP - Cell Physiol.
DOI: 10.6084/m9.figshare.10251038
title: Genomes of subaerial Zygnematophyceae provide insights into land plant evolution-- Data S1 & S2

description: Supplementary Data S1 & S2
DOI: 10.6084/m9.figshare.10251053
title: Data for: High Production of Soluble Iron Promoted by Aerosol Acidification in Fog

description: Observed and simulated results for total and soluble Fe, Fe solubility, acidic species including suflate, nitrate and oxalate, and relevant weather conditions.
DOI: 10.6084/m9.figshare.10251068.v2
title: Russell et al_AJP Cell Physiol data

description: Raw data for manuscript titled "Cardiomyoblast caveolin expression: Effects if siulated diabetes, alpha-linolenic acid and cell signaling pathways" submitted to AJP - Cell Physiol.
DOI: 10.6084/m9.figshare.10250945
title: A microRNA-mRNA regulatory network explains the landscape of the de novo cytogenetically normal acute myeloid leukaemia

description: The association between dysregulated microRNAs (miRNAs) and cytogenetically normal acute myeloid leukaemia (CN-AML) is well reported. However, our understanding on the regulatory role of miRNAs in CN-AML pathway is still poor. The current study integrated both miRNA and mRNA profiles to explore novel miRNA-mRNA interactions that affect the regulatory patterns in <i>de novo</i> CN-AML. Twenty-four (24) newly diagnosed CN-AML patients were matched on age, gender and ethnicity to the controls with a 1:1 ratio. Blood samples collected from patients were used to extract total RNA. The total RNA is used to quantify miRNA and mRNA profiles using the multiplexed nCounter platform. Significant miRNA and mRNA expressions were identified using the following criteria; P-value &lt;0.05 with fold change more than 1.5 or less than 1.5 (FC&gt;1.5 or FC A correlation matrix was set up to correlate miRNA and mRNA data. We were only interested in negative correlation as miRNA plays inhibitory role towards mRNA. Correlation deemed meaningful at r<br>
DOI: 10.6084/m9.figshare.10250825
title: Optimizing the recovery of disrupted single-sourced multi-echelon assembly supply chain networks

description: We consider optimization problems related to the scheduling of Multi-Echelon Assembly Supply Chain (MEASC) networks that find application in the recovery from large-scale disruptive events. Each manufacturer within this network assembles a component from a series of sub-components received from other manufacturers and, due to high qualification standards, each sub-component of the manufacturer is single-sourced. Our motivating industries for this problem are defense aircraft and biopharmaceutical manufacturing. We develop scheduling decision rules that are applied locally at each manufacturer and are proven to optimize two industry-relevant <i>global</i> recovery metrics: (i) minimizing the maximum tardiness of any order of the final product of the MEASC network, and (ii) and minimizing the time to recover from the disruptive event. Our approaches are applied to a data set based on an industrial partner’s supply chain to show their applicability as well as their advantages over Integer Programming (IP) models. The developed decision rules are proven to be optimal, faster, and more robust than the equivalent IP formulations. In addition, they provide conditions under which local manufacturer decisions will lead to globally optimal recovery efforts. These decision rules can help managers to make better production and shipping decisions to optimize the recovery after disruptions and quantitatively test the impact of different pre-event mitigation strategies against potential disruptions. They can be further useful in MEASCs with or expecting a large amount of backorders.
DOI: 10.6084/m9.figshare.10250819
title: Dataset for: Hidden Markov random field models applied to color homogeneity evaluation in dyed textiles images

description: Color is one of the most important features in any textile material. Due to its competitive price, most of the colorants currently used for textile dyeing are synthetic, originated from non-renewable sources and highly pollutant. There is an increasing interest for natural processes to dye fabrics. When new textile dyeing technologies are developed, evaluating the quality of these techniques involves measuring the resulting color homogeneity using digital images. The presence of a texture effect, caused by the interlacing of warp and weft yarns as well as small displacement of the fabric, creates a sophisticated dependence structure in pixels coloring. A random effects model is emplyed in order to separate the signal from the dyeing effect (fixed effect described by smooth functions) and warp and weft texture effect (Gaussian mixture driven by a hidden Markov random field), allowing an evaluation of color homogeneity in dyed textiles regardless of the effect of the texture.