cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.13535462
title: Additional file 5 of Transition of microbiota in chicken cecal droppings from commercial broiler farms

description: Additional file 5 Prevalence of Salmonella in broiler chickens.
DOI: 10.6084/m9.figshare.13535465
title: Additional file 6 of Transition of microbiota in chicken cecal droppings from commercial broiler farms

description: Additional file 6 Prevalence of Campylobacter in broiler chickens.
DOI: 10.6084/m9.figshare.13535468.v1
title: Additional file 7 of Transition of microbiota in chicken cecal droppings from commercial broiler farms

description: Additional file 7 OTUs which relative abundances were significantly different between Campylobacter-positive and -negative samples.
DOI: 10.6084/m9.figshare.13535450
title: Additional file 1 of Transition of microbiota in chicken cecal droppings from commercial broiler farms

description: Additional file 1. OTUs which relative abundances were significantly different among the subgroups of age but not among the subgroups of feed type.
DOI: 10.6084/m9.figshare.13535453.v1
title: Additional file 2 of Transition of microbiota in chicken cecal droppings from commercial broiler farms

description: Additional file 2. OTUs which relative abundances were significantly different among the subgroups of feed type but not among the subgroups of age.
DOI: 10.6084/m9.figshare.13535465.v1
title: Additional file 6 of Transition of microbiota in chicken cecal droppings from commercial broiler farms

description: Additional file 6 Prevalence of Campylobacter in broiler chickens.
DOI: 10.6084/m9.figshare.13535468
title: Additional file 7 of Transition of microbiota in chicken cecal droppings from commercial broiler farms

description: Additional file 7 OTUs which relative abundances were significantly different between Campylobacter-positive and -negative samples.
DOI: 10.6084/m9.figshare.13535485.v1
title: Additional file 1 of Genome-wide association study of circulating levels of glucagon during an oral glucose tolerance test

description: Additional file 1: Table S1. Title of data: Impact of gene variants associated with type 2 diabetes on circulating levels of glucagon during an oral glucose tolerance test (OGTT). Description of data: Beta (SE) from linear mixed model denotes the effect of each of the effect alleles (EA, additive model) on the inverse-normalized residuals of trait adjusted for age, sex and BMI. NEA - non effect allele, CHR - chromosome, POS - position, EAF - effect allele frequency. Table S2. Title of data: Replication of previously reported markers associating with plasma glucagon levels during an oral glucose tolerance test (OGTT). Description of data: Beta (SE) from linear mixed model denotes the effect of each of the effect alleles (EA, additive model) on the inverse-normalized residuals of trait adjusted for age, sex and BMI. NEA - non effect allele, CHR - chromosome, POS - position, EAF - effect allele frequency. Table S3. Title of data: Suggestive loci for fasting plasma glucagon levels. Description of data: Beta (SE) from linear mixed model denotes the effect of each of the effect alleles (EA, additive model) on the inverse-normalized residuals of trait adjusted for age, sex and BMI. NEA - non effect allele, CHR - chromosome, POS - position, EAF - effect allele frequency. Table S4. Title of data: Suggestive loci for 30 minute plasma glucagon levels during an oral glucose tolerance test (OGTT). Description of data: Beta (SE) from linear mixed model denotes the effect of each of the effect alleles (EA, additive model) on the inverse-normalized residuals of trait adjusted for age, sex and BMI. NEA - non effect allele, CHR - chromosome, POS - position, EAF - effect allele frequency. Table S5. Title of data: Suggestive loci for 120 minutes plasma glucagon levels during an oral glucose tolerance test (OGTT). Description of data: Beta (SE) from linear mixed model denotes the effect of each of the effect alleles (EA, additive model) on the inverse-normalized residuals of trait adjusted for age, sex and BMI. NEA - non effect allele, CHR - chromosome, POS - position, EAF - effect allele frequency. Table S6. Title of data: Suggestive loci for dAUC 0-120 minute of plasma glucagon levels during an oral glucose tolerance test (OGTT). Description of data: Beta (SE) from linear mixed model denotes the effect of each of the effect alleles (EA, additive model) on the inverse-normalized residuals of trait adjusted for age, sex and BMI. NEA - non effect allele, CHR - chromosome, POS - position, EAF - effect allele frequency.
DOI: 10.25345/c5cv3p
title: MassIVE MSV000086666 - GNPS_Extractos bacterias Cuatrocienegas actividad antimicrobiana
title: Organic extracts obtained from liquid culture of bacteria originally isolated from samples obtained from Cuatrocienegas, Coahuila, Mexico. All samples in this dataset exhibited antimicrobial activity.
DOI: 10.6084/m9.figshare.13535485
title: Additional file 1 of Genome-wide association study of circulating levels of glucagon during an oral glucose tolerance test

description: Additional file 1: Table S1. Title of data: Impact of gene variants associated with type 2 diabetes on circulating levels of glucagon during an oral glucose tolerance test (OGTT). Description of data: Beta (SE) from linear mixed model denotes the effect of each of the effect alleles (EA, additive model) on the inverse-normalized residuals of trait adjusted for age, sex and BMI. NEA - non effect allele, CHR - chromosome, POS - position, EAF - effect allele frequency. Table S2. Title of data: Replication of previously reported markers associating with plasma glucagon levels during an oral glucose tolerance test (OGTT). Description of data: Beta (SE) from linear mixed model denotes the effect of each of the effect alleles (EA, additive model) on the inverse-normalized residuals of trait adjusted for age, sex and BMI. NEA - non effect allele, CHR - chromosome, POS - position, EAF - effect allele frequency. Table S3. Title of data: Suggestive loci for fasting plasma glucagon levels. Description of data: Beta (SE) from linear mixed model denotes the effect of each of the effect alleles (EA, additive model) on the inverse-normalized residuals of trait adjusted for age, sex and BMI. NEA - non effect allele, CHR - chromosome, POS - position, EAF - effect allele frequency. Table S4. Title of data: Suggestive loci for 30 minute plasma glucagon levels during an oral glucose tolerance test (OGTT). Description of data: Beta (SE) from linear mixed model denotes the effect of each of the effect alleles (EA, additive model) on the inverse-normalized residuals of trait adjusted for age, sex and BMI. NEA - non effect allele, CHR - chromosome, POS - position, EAF - effect allele frequency. Table S5. Title of data: Suggestive loci for 120 minutes plasma glucagon levels during an oral glucose tolerance test (OGTT). Description of data: Beta (SE) from linear mixed model denotes the effect of each of the effect alleles (EA, additive model) on the inverse-normalized residuals of trait adjusted for age, sex and BMI. NEA - non effect allele, CHR - chromosome, POS - position, EAF - effect allele frequency. Table S6. Title of data: Suggestive loci for dAUC 0-120 minute of plasma glucagon levels during an oral glucose tolerance test (OGTT). Description of data: Beta (SE) from linear mixed model denotes the effect of each of the effect alleles (EA, additive model) on the inverse-normalized residuals of trait adjusted for age, sex and BMI. NEA - non effect allele, CHR - chromosome, POS - position, EAF - effect allele frequency.
DOI: 10.6084/m9.figshare.13535515.v1
title: Additional file 2 of Targeted amplicon sequencing + next-generation sequencing–based bulked segregant analysis identified genetic loci associated with preharvest sprouting tolerance in common buckwheat (Fagopyrum esculentum)

description: Additional file 2: Table S2. Ratio of pre-harvest sprouting of the parent lines.
DOI: 10.6084/m9.figshare.13535524
title: Additional file 5 of Targeted amplicon sequencing + next-generation sequencing–based bulked segregant analysis identified genetic loci associated with preharvest sprouting tolerance in common buckwheat (Fagopyrum esculentum)

description: Additional file 5: Table S5. Identification of scaffolds linked to PHS tolerance based on SNP index.
DOI: 10.6084/m9.figshare.13535512.v1
title: Additional file 1 of Targeted amplicon sequencing + next-generation sequencing–based bulked segregant analysis identified genetic loci associated with preharvest sprouting tolerance in common buckwheat (Fagopyrum esculentum)

description: Additional file 1: Table S1. List of plant materials.
DOI: 10.6084/m9.figshare.13535518
title: Additional file 3 of Targeted amplicon sequencing + next-generation sequencing–based bulked segregant analysis identified genetic loci associated with preharvest sprouting tolerance in common buckwheat (Fagopyrum esculentum)

description: Additional file 3: Table S3. Association with array marker sequences (Yabe et al., [17]) and BGDB scaffolds.
DOI: 10.6084/m9.figshare.13535512
title: Additional file 1 of Targeted amplicon sequencing + next-generation sequencing–based bulked segregant analysis identified genetic loci associated with preharvest sprouting tolerance in common buckwheat (Fagopyrum esculentum)

description: Additional file 1: Table S1. List of plant materials.
DOI: 10.6084/m9.figshare.13535515
title: Additional file 2 of Targeted amplicon sequencing + next-generation sequencing–based bulked segregant analysis identified genetic loci associated with preharvest sprouting tolerance in common buckwheat (Fagopyrum esculentum)

description: Additional file 2: Table S2. Ratio of pre-harvest sprouting of the parent lines.
DOI: 10.6084/m9.figshare.13535518.v1
title: Additional file 3 of Targeted amplicon sequencing + next-generation sequencing–based bulked segregant analysis identified genetic loci associated with preharvest sprouting tolerance in common buckwheat (Fagopyrum esculentum)

description: Additional file 3: Table S3. Association with array marker sequences (Yabe et al., [17]) and BGDB scaffolds.
DOI: 10.6084/m9.figshare.13535521
title: Additional file 4 of Targeted amplicon sequencing + next-generation sequencing–based bulked segregant analysis identified genetic loci associated with preharvest sprouting tolerance in common buckwheat (Fagopyrum esculentum)

description: Additional file 4: Table S4. Selected 300 SNP sites between micro array marker sequences (Yabe et al., [17]) and BGDB scaffolds.
DOI: 10.6084/m9.figshare.13535533.v1
title: Additional file 8 of Targeted amplicon sequencing + next-generation sequencing–based bulked segregant analysis identified genetic loci associated with preharvest sprouting tolerance in common buckwheat (Fagopyrum esculentum)

description: Additional file 8: Table S8. Scaffolds where QTLs are located and closest marker to each QTL.
DOI: 10.6084/m9.figshare.13535536.v1
title: Additional file 9 of Targeted amplicon sequencing + next-generation sequencing–based bulked segregant analysis identified genetic loci associated with preharvest sprouting tolerance in common buckwheat (Fagopyrum esculentum)

description: Additional file 9: Table S9. Genes annotated near QTLs.
DOI: 10.6084/m9.figshare.13535533
title: Additional file 8 of Targeted amplicon sequencing + next-generation sequencing–based bulked segregant analysis identified genetic loci associated with preharvest sprouting tolerance in common buckwheat (Fagopyrum esculentum)

description: Additional file 8: Table S8. Scaffolds where QTLs are located and closest marker to each QTL.
DOI: 10.6084/m9.figshare.13535536
title: Additional file 9 of Targeted amplicon sequencing + next-generation sequencing–based bulked segregant analysis identified genetic loci associated with preharvest sprouting tolerance in common buckwheat (Fagopyrum esculentum)

description: Additional file 9: Table S9. Genes annotated near QTLs.
DOI: 10.6084/m9.figshare.13535521.v1
title: Additional file 4 of Targeted amplicon sequencing + next-generation sequencing–based bulked segregant analysis identified genetic loci associated with preharvest sprouting tolerance in common buckwheat (Fagopyrum esculentum)

description: Additional file 4: Table S4. Selected 300 SNP sites between micro array marker sequences (Yabe et al., [17]) and BGDB scaffolds.
DOI: 10.6084/m9.figshare.13535524.v1
title: Additional file 5 of Targeted amplicon sequencing + next-generation sequencing–based bulked segregant analysis identified genetic loci associated with preharvest sprouting tolerance in common buckwheat (Fagopyrum esculentum)

description: Additional file 5: Table S5. Identification of scaffolds linked to PHS tolerance based on SNP index.
DOI: 10.6084/m9.figshare.13535527.v1
title: Additional file 6 of Targeted amplicon sequencing + next-generation sequencing–based bulked segregant analysis identified genetic loci associated with preharvest sprouting tolerance in common buckwheat (Fagopyrum esculentum)

description: Additional file 6: Table S6. Summary information for AmpliSeq custom panel.
DOI: 10.6084/m9.figshare.13535527
title: Additional file 6 of Targeted amplicon sequencing + next-generation sequencing–based bulked segregant analysis identified genetic loci associated with preharvest sprouting tolerance in common buckwheat (Fagopyrum esculentum)

description: Additional file 6: Table S6. Summary information for AmpliSeq custom panel.
DOI: 10.6084/m9.figshare.13535530
title: Additional file 7 of Targeted amplicon sequencing + next-generation sequencing–based bulked segregant analysis identified genetic loci associated with preharvest sprouting tolerance in common buckwheat (Fagopyrum esculentum)

description: Additional file 7: Table S7. Primer information for sequence-tagged-site markers linked to QTLs.
DOI: 10.6084/m9.figshare.13535530.v1
title: Additional file 7 of Targeted amplicon sequencing + next-generation sequencing–based bulked segregant analysis identified genetic loci associated with preharvest sprouting tolerance in common buckwheat (Fagopyrum esculentum)

description: Additional file 7: Table S7. Primer information for sequence-tagged-site markers linked to QTLs.
DOI: 10.6084/m9.figshare.13535575.v1
title: Additional file 2 of Genome-wide association analysis unveils novel QTLs for seminal root system architecture traits in Ethiopian durum wheat

description: Additional file 2: Table S2. Phenotypic mean values of RSA traits measured for 12-day-old seedlings in Ethiopian durum wheat accessions.
DOI: 10.6084/m9.figshare.13535581.v1
title: Additional file 4 of Genome-wide association analysis unveils novel QTLs for seminal root system architecture traits in Ethiopian durum wheat

description: Additional file 4: Table S4. List of QTLs identified for RSA traits in Ethiopian durum wheat.
DOI: 10.6084/m9.figshare.13535578
title: Additional file 3 of Genome-wide association analysis unveils novel QTLs for seminal root system architecture traits in Ethiopian durum wheat

description: Additional file 3: Table S3. Inference of the true numbers of subpopulations in Ethiopian durum wheat panel.
DOI: 10.6084/m9.figshare.13535572
title: Additional file 1 of Genome-wide association analysis unveils novel QTLs for seminal root system architecture traits in Ethiopian durum wheat

description: Additional file 1: Table S1. Accession names and types, cultivated areas, seed sources and population structure of 192 Ethiopian durum wheat accessions.
DOI: 10.6084/m9.figshare.13535572.v1
title: Additional file 1 of Genome-wide association analysis unveils novel QTLs for seminal root system architecture traits in Ethiopian durum wheat

description: Additional file 1: Table S1. Accession names and types, cultivated areas, seed sources and population structure of 192 Ethiopian durum wheat accessions.
DOI: 10.6084/m9.figshare.13535578.v1
title: Additional file 3 of Genome-wide association analysis unveils novel QTLs for seminal root system architecture traits in Ethiopian durum wheat

description: Additional file 3: Table S3. Inference of the true numbers of subpopulations in Ethiopian durum wheat panel.
DOI: 10.6084/m9.figshare.13535584.v1
title: Additional file 5 of Genome-wide association analysis unveils novel QTLs for seminal root system architecture traits in Ethiopian durum wheat

description: Additional file 5: Table S5. Allelic distribution for root growth angle QTL-tagging SNPs in the Ethiopian durum wheat panel. Accessions are listed in ascending order for RGA.
DOI: 10.6084/m9.figshare.13535590.v1
title: Additional file 6 of Genome-wide association analysis unveils novel QTLs for seminal root system architecture traits in Ethiopian durum wheat

description: Additional file 6: Table S6. Allelic distribution for total root number QTL-tagging SNPs in the Ethiopian durum wheat panel. Accessions are listed in ascending order for TRN.
DOI: 10.6084/m9.figshare.13535602.v1
title: Additional file 8 of Genome-wide association analysis unveils novel QTLs for seminal root system architecture traits in Ethiopian durum wheat

description: Additional file 8: Table S8. Allelic distribution for individual root weight QTL-tagging SNPs in the Ethiopian durum wheat panel. Accessions are listed in ascending order for IRW.
DOI: 10.6084/m9.figshare.13535575
title: Additional file 2 of Genome-wide association analysis unveils novel QTLs for seminal root system architecture traits in Ethiopian durum wheat

description: Additional file 2: Table S2. Phenotypic mean values of RSA traits measured for 12-day-old seedlings in Ethiopian durum wheat accessions.
DOI: 10.6084/m9.figshare.13535590
title: Additional file 6 of Genome-wide association analysis unveils novel QTLs for seminal root system architecture traits in Ethiopian durum wheat

description: Additional file 6: Table S6. Allelic distribution for total root number QTL-tagging SNPs in the Ethiopian durum wheat panel. Accessions are listed in ascending order for TRN.
DOI: 10.6084/m9.figshare.13535584
title: Additional file 5 of Genome-wide association analysis unveils novel QTLs for seminal root system architecture traits in Ethiopian durum wheat

description: Additional file 5: Table S5. Allelic distribution for root growth angle QTL-tagging SNPs in the Ethiopian durum wheat panel. Accessions are listed in ascending order for RGA.
DOI: 10.6084/m9.figshare.13535596
title: Additional file 7 of Genome-wide association analysis unveils novel QTLs for seminal root system architecture traits in Ethiopian durum wheat

description: Additional file 7: Table S7. Allelic distribution for total root length QTL-tagging SNPs in the Ethiopian durum wheat panel. Accessions are listed in ascending order for TRL.
DOI: 10.6084/m9.figshare.13535596.v1
title: Additional file 7 of Genome-wide association analysis unveils novel QTLs for seminal root system architecture traits in Ethiopian durum wheat

description: Additional file 7: Table S7. Allelic distribution for total root length QTL-tagging SNPs in the Ethiopian durum wheat panel. Accessions are listed in ascending order for TRL.
DOI: 10.6084/m9.figshare.13535602
title: Additional file 8 of Genome-wide association analysis unveils novel QTLs for seminal root system architecture traits in Ethiopian durum wheat

description: Additional file 8: Table S8. Allelic distribution for individual root weight QTL-tagging SNPs in the Ethiopian durum wheat panel. Accessions are listed in ascending order for IRW.
DOI: 10.6084/m9.figshare.13535581
title: Additional file 4 of Genome-wide association analysis unveils novel QTLs for seminal root system architecture traits in Ethiopian durum wheat

description: Additional file 4: Table S4. List of QTLs identified for RSA traits in Ethiopian durum wheat.
DOI: 10.6084/m9.figshare.13535689.v1
title: Additional file 1 of Flattening the curves: on-off lock-down strategies for COVID-19 with an application to Brazil

description: Supplementary information (ZIP 4 kB)
DOI: 10.6084/m9.figshare.13535689
title: Additional file 1 of Flattening the curves: on-off lock-down strategies for COVID-19 with an application to Brazil

description: Supplementary information (ZIP 4 kB)
DOI: 10.6084/m9.figshare.13535792
title: Additional file 1 of Genome-scale metabolic modeling underscores the potential of Cutaneotrichosporon oleaginosus ATCC 20509 as a cell factory for biofuel production

description: Additional file 1. C. curvartum ATCC 20509 genome annotation.
DOI: 10.6084/m9.figshare.13535792.v1
title: Additional file 1 of Genome-scale metabolic modeling underscores the potential of Cutaneotrichosporon oleaginosus ATCC 20509 as a cell factory for biofuel production

description: Additional file 1. C. curvartum ATCC 20509 genome annotation.
DOI: 10.6084/m9.figshare.13535804
title: Additional file 4 of Genome-scale metabolic modeling underscores the potential of Cutaneotrichosporon oleaginosus ATCC 20509 as a cell factory for biofuel production

description: Additional file 4. Condition-specific biomass generation.
DOI: 10.6084/m9.figshare.13535801.v1
title: Additional file 3 of Genome-scale metabolic modeling underscores the potential of Cutaneotrichosporon oleaginosus ATCC 20509 as a cell factory for biofuel production

description: Additional file 3. C. oleaginosus and Y. lipolytica orthologs
DOI: 10.6084/m9.figshare.13535804.v1
title: Additional file 4 of Genome-scale metabolic modeling underscores the potential of Cutaneotrichosporon oleaginosus ATCC 20509 as a cell factory for biofuel production

description: Additional file 4. Condition-specific biomass generation.
DOI: 10.6084/m9.figshare.13535807
title: Additional file 5 of Genome-scale metabolic modeling underscores the potential of Cutaneotrichosporon oleaginosus ATCC 20509 as a cell factory for biofuel production

description: Additional file 5. List of up and down-regulated genes under high and low C/N condition.
DOI: 10.6084/m9.figshare.13535810
title: Additional file 6 of Genome-scale metabolic modeling underscores the potential of Cutaneotrichosporon oleaginosus ATCC 20509 as a cell factory for biofuel production

description: Additional file 6. Biomass component at glucose and unlimited nitrogen condition.
DOI: 10.6084/m9.figshare.13535810.v1
title: Additional file 6 of Genome-scale metabolic modeling underscores the potential of Cutaneotrichosporon oleaginosus ATCC 20509 as a cell factory for biofuel production

description: Additional file 6. Biomass component at glucose and unlimited nitrogen condition.
DOI: 10.6084/m9.figshare.13535801
title: Additional file 3 of Genome-scale metabolic modeling underscores the potential of Cutaneotrichosporon oleaginosus ATCC 20509 as a cell factory for biofuel production

description: Additional file 3. C. oleaginosus and Y. lipolytica orthologs
DOI: 10.6084/m9.figshare.13535807.v1
title: Additional file 5 of Genome-scale metabolic modeling underscores the potential of Cutaneotrichosporon oleaginosus ATCC 20509 as a cell factory for biofuel production

description: Additional file 5. List of up and down-regulated genes under high and low C/N condition.
DOI: 10.6084/m9.figshare.13535813
title: Additional file 7 of Genome-scale metabolic modeling underscores the potential of Cutaneotrichosporon oleaginosus ATCC 20509 as a cell factory for biofuel production

description: Additional file 7. iNP636_Coleaginosus_ATCC20509 model.
DOI: 10.6084/m9.figshare.13535813.v1
title: Additional file 7 of Genome-scale metabolic modeling underscores the potential of Cutaneotrichosporon oleaginosus ATCC 20509 as a cell factory for biofuel production

description: Additional file 7. iNP636_Coleaginosus_ATCC20509 model.
DOI: 10.6084/m9.figshare.13535827.v1
title: Additional file 3 of The intestinal microbial composition in Greylag geese differs with steatosis induction mode: spontaneous or induced by overfeeding

description: Additional file 3. Biochemical and slaughter performances data set.
DOI: 10.6084/m9.figshare.13535827
title: Additional file 3 of The intestinal microbial composition in Greylag geese differs with steatosis induction mode: spontaneous or induced by overfeeding

description: Additional file 3. Biochemical and slaughter performances data set.