cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12623136
title: Additional file 2 of Quantitative genome-wide association analyses of receptive language in the Danish High Risk and Resilience Study

description: Additional file 2: Table S1. Suggestive associations (P ≤ 0.00001) from the discovery analyses.
DOI: 10.6084/m9.figshare.12623136.v1
title: Additional file 2 of Quantitative genome-wide association analyses of receptive language in the Danish High Risk and Resilience Study

description: Additional file 2: Table S1. Suggestive associations (P ≤ 0.00001) from the discovery analyses.
DOI: 10.6084/m9.figshare.12623121
title: Additional file 9 of Meta-analysis for milk fat and protein percentage using imputed sequence variant genotypes in 94,321 cattle from eight cattle breeds

description: Additional file 9: Table S6. DAVID analysis for protein percentage. Three clusters with the highest enrichment scores according to DAVID functional annotation clustering for genes associated with significant variants in the meta-analysis for protein percentage.
DOI: 10.6084/m9.figshare.12623118
title: Additional file 8 of Meta-analysis for milk fat and protein percentage using imputed sequence variant genotypes in 94,321 cattle from eight cattle breeds

description: Additional file 8: Table S5. DAVID analysis for fat percentage. Three clusters with the highest enrichment scores according to DAVID functional annotation clustering for genes associated with significant variants in the meta-analysis for fat percentage.
DOI: 10.6084/m9.figshare.12623118.v1
title: Additional file 8 of Meta-analysis for milk fat and protein percentage using imputed sequence variant genotypes in 94,321 cattle from eight cattle breeds

description: Additional file 8: Table S5. DAVID analysis for fat percentage. Three clusters with the highest enrichment scores according to DAVID functional annotation clustering for genes associated with significant variants in the meta-analysis for fat percentage.
DOI: 10.6084/m9.figshare.12623121.v1
title: Additional file 9 of Meta-analysis for milk fat and protein percentage using imputed sequence variant genotypes in 94,321 cattle from eight cattle breeds

description: Additional file 9: Table S6. DAVID analysis for protein percentage. Three clusters with the highest enrichment scores according to DAVID functional annotation clustering for genes associated with significant variants in the meta-analysis for protein percentage.
DOI: 10.6084/m9.figshare.12623100
title: Additional file 2 of Meta-analysis for milk fat and protein percentage using imputed sequence variant genotypes in 94,321 cattle from eight cattle breeds

description: Additional file 2: Table S1. QTL detected for fat percentage in the meta-analysis. chr = chromosome, pos = position in base pair on UMD3.1 assembly, ARS-UCD2.1 = position in base pair on ASR-UCD2.1 assembly, p = p-value in the meta-analysis, dir = direction of effect in each of the GWAS (from left to right: Braunvieh, Fleckvieh, German Holstein, Norwegian Red, Australian bull dataset, Australian cow dataset, Montbéliarde, Normande, French Holstein), start = pos – 250 kb, end = pos + 250 kb, nSig = number of variants with a p-value ≤ 10−8 in the interval, nGenic = nSig associated with a gene, genes = genes in the interval with significant variants, cojo = p-value in COJO analysis for retained variants, or discarded/not present to indicate variants that were discarded or not included in COJO analysis), sameDirVal = indicates whether a variant had the same direction of Z-score in the meta-analysis and the validation analysis (- = not included in validation analysis, 0 = opposite direction, 1 = same direction), pVal = p-value in the validation analysis.
DOI: 10.6084/m9.figshare.12623103
title: Additional file 3 of Meta-analysis for milk fat and protein percentage using imputed sequence variant genotypes in 94,321 cattle from eight cattle breeds

description: Additional file 3: Table S2. QTL detected for protein percentage in the meta-analysis. chr = chromosome, pos = position in base pair on UMD3.1 assembly, ARS-UCD2.1 = position in base pair on ASR-UCD2.1 assembly, p = p-value in the meta-analysis, dir = direction of effect in each of the GWAS (from left to right: Braunvieh, Fleckvieh, German Holstein, Norwegian Red, Australian bull dataset, Australian cow dataset, Montbéliarde, Normande, French Holstein), start = pos – 250 Kb, end = pos + 250 Kb, nSig = number of variants with a p-value ≤ 10−8 in the interval, nGenic = nSig associated with a gene, genes = genes in the interval with significant variants, cojo = p-value in COJO analysis for retained variants, or discarded/not present to indicate variants that were discarded or not included in COJO analysis), sameDirVal = indicates whether a variant had the same direction of Z-score in the meta-analysis and the validation analysis (- = not included in validation analysis, 0 = opposite direction, 1 = same direction), pVal = p-value in the validation analysis.
DOI: 10.6084/m9.figshare.12623100.v1
title: Additional file 2 of Meta-analysis for milk fat and protein percentage using imputed sequence variant genotypes in 94,321 cattle from eight cattle breeds

description: Additional file 2: Table S1. QTL detected for fat percentage in the meta-analysis. chr = chromosome, pos = position in base pair on UMD3.1 assembly, ARS-UCD2.1 = position in base pair on ASR-UCD2.1 assembly, p = p-value in the meta-analysis, dir = direction of effect in each of the GWAS (from left to right: Braunvieh, Fleckvieh, German Holstein, Norwegian Red, Australian bull dataset, Australian cow dataset, Montbéliarde, Normande, French Holstein), start = pos – 250 kb, end = pos + 250 kb, nSig = number of variants with a p-value ≤ 10−8 in the interval, nGenic = nSig associated with a gene, genes = genes in the interval with significant variants, cojo = p-value in COJO analysis for retained variants, or discarded/not present to indicate variants that were discarded or not included in COJO analysis), sameDirVal = indicates whether a variant had the same direction of Z-score in the meta-analysis and the validation analysis (- = not included in validation analysis, 0 = opposite direction, 1 = same direction), pVal = p-value in the validation analysis.
DOI: 10.6084/m9.figshare.12623103.v1
title: Additional file 3 of Meta-analysis for milk fat and protein percentage using imputed sequence variant genotypes in 94,321 cattle from eight cattle breeds

description: Additional file 3: Table S2. QTL detected for protein percentage in the meta-analysis. chr = chromosome, pos = position in base pair on UMD3.1 assembly, ARS-UCD2.1 = position in base pair on ASR-UCD2.1 assembly, p = p-value in the meta-analysis, dir = direction of effect in each of the GWAS (from left to right: Braunvieh, Fleckvieh, German Holstein, Norwegian Red, Australian bull dataset, Australian cow dataset, Montbéliarde, Normande, French Holstein), start = pos – 250 Kb, end = pos + 250 Kb, nSig = number of variants with a p-value ≤ 10−8 in the interval, nGenic = nSig associated with a gene, genes = genes in the interval with significant variants, cojo = p-value in COJO analysis for retained variants, or discarded/not present to indicate variants that were discarded or not included in COJO analysis), sameDirVal = indicates whether a variant had the same direction of Z-score in the meta-analysis and the validation analysis (- = not included in validation analysis, 0 = opposite direction, 1 = same direction), pVal = p-value in the validation analysis.
DOI: 10.6084/m9.figshare.12623049
title: Additional file 4 of Mitochondrial GWAS and association of nuclear – mitochondrial epistasis with BMI in T1DM patients

description: Additional file 4: Table S3. List of most significant associations of MT-ND2 gene.
DOI: 10.6084/m9.figshare.12623052
title: Additional file 5 of Mitochondrial GWAS and association of nuclear – mitochondrial epistasis with BMI in T1DM patients

description: Additional file 5: Table S4a. All interactions of MT-ND2 gene genome wide in T1DM cohort. b. All interactions of MT-ND2 gene genome wide in FHS cohort. c. Significant associations of MT-ND2 variants in GWAS Catalog.
DOI: 10.6084/m9.figshare.12623043
title: Additional file 2 of Mitochondrial GWAS and association of nuclear – mitochondrial epistasis with BMI in T1DM patients

description: Additional file 2: Table S1a. List of mitochondrial variants included in the analysis in T1DM cohort. b. List of mitochondrial variants included in the analysis in FHS cohort.
DOI: 10.6084/m9.figshare.12623046
title: Additional file 3 of Mitochondrial GWAS and association of nuclear – mitochondrial epistasis with BMI in T1DM patients

description: Additional file 3: Table S2a. All interactions of MT-ND2 gene with MitoCarta genes in T1DM cohort. b. Interactions of MT-ND2 gene significant after all corrections of MT-ND2 variant rs28357980 in FHS (MAF &gt; 0.05, FDR
DOI: 10.6084/m9.figshare.12623049.v1
title: Additional file 4 of Mitochondrial GWAS and association of nuclear – mitochondrial epistasis with BMI in T1DM patients

description: Additional file 4: Table S3. List of most significant associations of MT-ND2 gene.
DOI: 10.6084/m9.figshare.12623052.v1
title: Additional file 5 of Mitochondrial GWAS and association of nuclear – mitochondrial epistasis with BMI in T1DM patients

description: Additional file 5: Table S4a. All interactions of MT-ND2 gene genome wide in T1DM cohort. b. All interactions of MT-ND2 gene genome wide in FHS cohort. c. Significant associations of MT-ND2 variants in GWAS Catalog.
DOI: 10.6084/m9.figshare.12623046.v1
title: Additional file 3 of Mitochondrial GWAS and association of nuclear – mitochondrial epistasis with BMI in T1DM patients

description: Additional file 3: Table S2a. All interactions of MT-ND2 gene with MitoCarta genes in T1DM cohort. b. Interactions of MT-ND2 gene significant after all corrections of MT-ND2 variant rs28357980 in FHS (MAF &gt; 0.05, FDR
DOI: 10.6084/m9.figshare.12623043.v1
title: Additional file 2 of Mitochondrial GWAS and association of nuclear – mitochondrial epistasis with BMI in T1DM patients

description: Additional file 2: Table S1a. List of mitochondrial variants included in the analysis in T1DM cohort. b. List of mitochondrial variants included in the analysis in FHS cohort.
DOI: 10.6084/m9.figshare.12622829
title: Source data.xlsx

description: <b>Soil microbiome assembly at a continental and global scale</b>
DOI: 10.6084/m9.figshare.12622787
title: Gene database of Salmonella enterica subsp. Typhimurium LT2

description: <i>Salmonella typhimurium</i> is a Gram-negative, flagellated, motile bacterium known to cause gastrointestinal disease in humans. Armed with two pathogenicity islands of clusters of genes implicated in pathogenesis, <i>S. typhimurium </i>is a formidable pathogen for which clinical microbiology labs keep a constant lookout for in patients with diarrhoea symptoms. Being an evolutionary relative of the well-studied <i>Escherichia coli</i>, major questions remain on why <i>S. typhimurium</i> could amass two important pathogenicity islands in its genome. Specifically, what are the circumstances on which ancestral <i>S. typhimurium</i> acquired or evolved the two pathogenicity islands? Knowledge of these evolutionary paths would expand our understanding of how pathogen evolved from otherwise benign microbes, as well as answer the question of whether pathogenic potential is an evolutionary adaptive trait or phenotype endowed in the genome. This work sought to provide basic information of the genetic repertoire of <i>S. typhimurium</i> LT2 by parsing its annotated genome sequence from Genbank with an in-house MATLAB software. Comprising gene name, gene function, and gene sequence, the resource should be useful in a variety of host microbe studies seeking to elucidate how the pathogen adapts to changing environmental and nutritional conditions in the human gastrointestinal tract particularly with reference to changing dietary habits of people around the world.
DOI: 10.6084/m9.figshare.12622718
title: Two MAGs involved in isoprene reduction.

description: Two MAGs involved in isoprene reduction.
DOI: 10.6084/m9.figshare.12622718.v2
title: Two MAGs involved in isoprene reduction.

description: Two MAGs involved in isoprene reduction.
DOI: 10.6084/m9.figshare.12622688
title: New

description: data
DOI: 10.6084/m9.figshare.12622718.v1
title: Two MAGs involved in isoprene reduction.

description: Two MAGs involved in isoprene reduction.
DOI: 10.6084/m9.figshare.12622664
title: Flujos Base Magdalena Medio

description: Flujos base extraidos por el método UKIH, corrientes: Lebrija, Morales, Cimitarra, Sogamoso y Opón<br>
DOI: 10.6084/m9.figshare.12622658
title: Sample size effects on population demographic estimates in birds using single nucleotide polymorphism (SNP) data

description: Reference assemblies and associated vcf files (with no Z-linked loci and thinned to one SNP per locus) for eight lineages of Trans-Beringian birds. These are the datasets we analyzed for sample-size effects on demographic population parameter estimates using the software dadi (Gutenkunst et al. 2009). <br>
DOI: 10.6084/m9.figshare.12622664.v1
title: BF-Morales-Niño.jpeg

description: Flujos base extraidos por el método UKIH, corrientes: Lebrija, Morales, Cimitarra, Sogamoso y Opón<br>
DOI: 10.6084/m9.figshare.12622688.v2
title: New

description: data
DOI: 10.6084/m9.figshare.12622526
title: Primary data for Oleksyn et al.xlsx

description: Primary data for Oleksyn J, Wyka TP, Żytkowiak R, Zadworny M, Mucha J, Dering M, Ufnalski K, Nihlgård B, Reich PB (2020) A fingerprint of climate change across pine forests of Sweden. <i>Ecology Letters</i>
DOI: 10.6084/m9.figshare.12622571
title: SILVA_SSU_r138_2019.binder.RData

description: An R version 1.4-3.5 compatible DECIPHER Silva v138 reference object. To go along with this page: https://astrobiomike.github.io/amplicon/dada2_workflow_ex
DOI: 10.6084/m9.figshare.12622658.v1
title: Sample size effects on population demographic estimates in birds using single nucleotide polymorphism (SNP) data

description: Reference assemblies and associated vcf files (with no Z-linked loci and thinned to one SNP per locus) for eight lineages of Trans-Beringian birds. These are the datasets we analyzed for sample-size effects on demographic population parameter estimates using the software dadi (Gutenkunst et al. 2009). <br>
DOI: 10.6084/m9.figshare.12622688.v1
title: New

description: data
DOI: 10.6084/m9.figshare.12622526.v1
title: Primary data for Oleksyn et al.xlsx

description: Primary data for Oleksyn J, Wyka TP, Żytkowiak R, Zadworny M, Mucha J, Dering M, Ufnalski K, Nihlgård B, Reich PB (2020) A fingerprint of climate change across pine forests of Sweden. <i>Ecology Letters</i>
DOI: 10.6084/m9.figshare.12622448
title: MYC_MAGeCK_GS_filtered_analysis

description: MAGeCK analysis of tiling CRISPR screen data
DOI: 10.6084/m9.figshare.12622448.v1
title: MYC_MAGeCK_GS_filtered_analysis

description: MAGeCK analysis of tiling CRISPR screen data
DOI: 10.6084/m9.figshare.12622451
title: GATA1_MAGeCK_GS_filtered_analysis

description: MAGeCK analysis of tiling CRISPR screen data
DOI: 10.6084/m9.figshare.12622442
title: IL2RA_MAGeCK_GS_filtered_analysis

description: MAGeCK analysis of tiling CRISPR screen data
DOI: 10.6084/m9.figshare.12622451.v1
title: GATA1_MAGeCK_GS_filtered_analysis

description: MAGeCK analysis of tiling CRISPR screen data
DOI: 10.6084/m9.figshare.12622433
title: MYC_CRISPR_SURF_GS_filtered_analysis

description: CRISPR-SURF analysis of tiling CRISPR screen data
DOI: 10.6084/m9.figshare.12622436
title: IL2RA_CRISPR_SURF_GS_filtered_analysis

description: CRISPR-SURF analysis of tiling CRISPR screen data
DOI: 10.6084/m9.figshare.12622442.v1
title: IL2RA_MAGeCK_GS_filtered_analysis

description: MAGeCK analysis of tiling CRISPR screen data
DOI: 10.6084/m9.figshare.12622421
title: GATA1_CRISPR_SURF_GS_filtered_analysis

description: CRISPR-SURF analysis of tiling CRISPR screen data
DOI: 10.6084/m9.figshare.12622409
title: CD69_MAGeCK_GS_filtered_analysis

description: MAGeCK analysis of tiling CRISPR screen data
DOI: 10.6084/m9.figshare.12622421.v1
title: GATA1_CRISPR_SURF_GS_filtered_analysis

description: CRISPR-SURF analysis of tiling CRISPR screen data
DOI: 10.6084/m9.figshare.12622373
title: Data associated with the article ‘Remote videolink observation of model home sampling and home testing devices to simplify usability studies for point-of-care diagnostics’

description: This dataset contains the video instruction resource used for remote testing of model home testing devices. The questionnaire given to participants along with a summary table of responses to the rating questions. This dataset contains images of model tests returned by participants during the study ‘Remotely evaluating user experience of Covid-19 lateral flow devices’. A spreadsheet summary of the analysis of the returned images is also included. Common observations from the video calls are recorded in the observation summary.
DOI: 10.6084/m9.figshare.12622418
title: CD69_CRISPR_SURF_GS_filtered_analysis

description: CRISPR-SURF analysis of tiling CRISPR screen data
DOI: 10.6084/m9.figshare.12622355
title: Bodapati_sims_part3

description: CRISPR functional screen data simulated by tool developped by Bodapati et al., 2020
DOI: 10.6084/m9.figshare.12622409.v1
title: CD69_MAGeCK_GS_filtered_analysis

description: MAGeCK analysis of tiling CRISPR screen data
DOI: 10.6084/m9.figshare.12622319
title: Bodapati_sims_part2

description: CRISPR functional screen data simulated by tool developped by Bodapati et al., 2020
DOI: 10.6084/m9.figshare.12622373.v1
title: Data associated with the article ‘Remote videolink observation of model home sampling and home testing devices to simplify usability studies for point-of-care diagnostics’

description: This dataset contains the video instruction resource used for remote testing of model home testing devices. The questionnaire given to participants along with a summary table of responses to the rating questions. This dataset contains images of model tests returned by participants during the study ‘Remotely evaluating user experience of Covid-19 lateral flow devices’. A spreadsheet summary of the analysis of the returned images is also included. Common observations from the video calls are recorded in the observation summary.
DOI: 10.6084/m9.figshare.12622418.v1
title: CD69_CRISPR_SURF_GS_filtered_analysis

description: CRISPR-SURF analysis of tiling CRISPR screen data
DOI: 10.6084/m9.figshare.12622301
title: Figure 1 Data

description: Data for Figure 1 Radar plot showing average morbidity (percent) and month of reported cases of human brucellosis in Nahavand county, western Iran (2010–2017)<br>
DOI: 10.6084/m9.figshare.12622304
title: Literature screen: Head-to-head benchmark evaluation of the sensitivity and specificity of five immunoassays for SARS-CoV-2 serology on &gt;1500 samples

description: Screening results for systematic review in support of Manuscript: Head-to-head benchmark evaluation of the sensitivity and specificity of five immunoassays for SARS-CoV-2 serology on &gt;1500 samples
DOI: 10.6084/m9.figshare.12622319.v1
title: Bodapati_sims_part2

description: CRISPR functional screen data simulated by tool developped by Bodapati et al., 2020
DOI: 10.6084/m9.figshare.12622355.v1
title: Bodapati_sims_part3

description: CRISPR functional screen data simulated by tool developped by Bodapati et al., 2020
DOI: 10.6084/m9.figshare.12622256
title: Figure 2 data

description: Occupation of patients with reported cases of human brucellosis in Nahavand county, western Iran (2010–2017)
DOI: 10.6084/m9.figshare.12622304.v1
title: Literature screen: Head-to-head benchmark evaluation of the sensitivity and specificity of five immunoassays for SARS-CoV-2 serology on &gt;1500 samples

description: Screening results for systematic review in support of Manuscript: Head-to-head benchmark evaluation of the sensitivity and specificity of five immunoassays for SARS-CoV-2 serology on &gt;1500 samples
DOI: 10.6084/m9.figshare.12622208
title: Questionario di raccolta dati di associazione tra Ipertensione e severità COVID19 (elife).xlsx

description: This data regards the SARS-RAS study of the Italian Society of Hypertension.
DOI: 10.6084/m9.figshare.12622208.v1
title: Questionario di raccolta dati di associazione tra Ipertensione e severità COVID19 (elife).xlsx

description: This data regards the SARS-RAS study of the Italian Society of Hypertension.
DOI: 10.6084/m9.figshare.12622256.v2
title: Figure 2 data

description: Occupation of patients with reported cases of human brucellosis in Nahavand county, western Iran (2010–2017)
DOI: 10.6084/m9.figshare.12622301.v1
title: UntitlABM-D-19-00178R4 Figure 1ed Item

description: Data for figure 1<br>
DOI: 10.6084/m9.figshare.12622175
title: Bodapati_sims_part1

description: CRISPR functional screen data simulated by tool developped by Bodapati et al., 2020
DOI: 10.6084/m9.figshare.12622256.v1
title: Untitled Item

description: data for fig 2<br>
DOI: 10.6084/m9.figshare.12622175.v1
title: Bodapati_sims_part1

description: CRISPR functional screen data simulated by tool developped by Bodapati et al., 2020
DOI: 10.6084/m9.figshare.12622301.v2
title: ABM-D-19-00178R4 Figure 1 Data

description: Data for Figure 1 Radar plot showing average morbidity (percent) and month of reported cases of human brucellosis in Nahavand county, western Iran (2010–2017)<br>
DOI: 10.6084/m9.figshare.12622172
title: Dataset: Head-to-head benchmark evaluation of the sensitivity and specificity of five immunoassays for SARS-CoV-2 serology on &gt;1500 samples

description: Dataset supporting the Manuscript: Head-to-head benchmark evaluation of the sensitivity and specificity of five immunoassays for SARS-CoV-2 serology on &gt;1500 samples.
DOI: 10.6084/m9.figshare.12622157
title: MYC_GS_filtered_RELICS_analysis

description: RELICS analysis of tiling CRISPR screen data
DOI: 10.6084/m9.figshare.12622157.v1
title: MYC_GS_filtered_RELICS_analysis

description: RELICS analysis of tiling CRISPR screen data
DOI: 10.6084/m9.figshare.12622172.v1
title: Dataset: Head-to-head benchmark evaluation of the sensitivity and specificity of five immunoassays for SARS-CoV-2 serology on &gt;1500 samples

description: Dataset supporting the Manuscript: Head-to-head benchmark evaluation of the sensitivity and specificity of five immunoassays for SARS-CoV-2 serology on &gt;1500 samples.
DOI: 10.6084/m9.figshare.12622301.v3
title: ABM-D-19-00178R4 Figure 1 Data

description: Data for Figure 1 Radar plot showing average morbidity (percent) and month of reported cases of human brucellosis in Nahavand county, western Iran (2010–2017)<br>
DOI: 10.6084/m9.figshare.12622136
title: GATA1_GS_filtered_RELICS_analysis

description: RELICS analysis of tiling CRISPR screen data
DOI: 10.6084/m9.figshare.12622145
title: CD69_GS_filtered_RELICS_analysis

description: RELICS analysis of tiling CRISPR screen data
DOI: 10.6084/m9.figshare.12622148
title: IL2RA_GS_filtered_RELICS_analysis

description: RELICS analysis of tiling CRISPR screen data
DOI: 10.6084/m9.figshare.12622301.v5
title: Figure 1 Data

description: Data for Figure 1 Radar plot showing average morbidity (percent) and month of reported cases of human brucellosis in Nahavand county, western Iran (2010–2017)<br>
DOI: 10.6084/m9.figshare.12622118
title: GuideScan_filtered_data

description: Data sets after filtered by GuideScan (http://www.guidescan.com/)
DOI: 10.6084/m9.figshare.12622136.v1
title: GATA1_GS_filtered_RELICS_analysis

description: RELICS analysis of tiling CRISPR screen data
DOI: 10.6084/m9.figshare.12622145.v1
title: CD69_GS_filtered_RELICS_analysis

description: RELICS analysis of tiling CRISPR screen data
DOI: 10.6084/m9.figshare.12622148.v1
title: IL2RA_GS_filtered_RELICS_analysis

description: RELICS analysis of tiling CRISPR screen data
DOI: 10.6084/m9.figshare.12622301.v4
title: ABM-D-19-00178 Figure 1 Data

description: Data for Figure 1 Radar plot showing average morbidity (percent) and month of reported cases of human brucellosis in Nahavand county, western Iran (2010–2017)<br>