cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.11913147
title: Additional file 8 of Metabolic alterations in the erythrocyte during blood-stage development of the malaria parasite

description: Additional file 8. Comparison of lipid metabolites from this study with Gulati et al. [53].
DOI: 10.6084/m9.figshare.11913150
title: Additional file 9 of Metabolic alterations in the erythrocyte during blood-stage development of the malaria parasite

description: Additional file 9. Results of two-way ANOVA performed on data from uRBC and iRBC cultures obtained at 0–8 h (Sheet 1), 16–24 h (Sheet 2), and 32–40 h (Sheet 3).
DOI: 10.6084/m9.figshare.11913150.v1
title: Additional file 9 of Metabolic alterations in the erythrocyte during blood-stage development of the malaria parasite

description: Additional file 9. Results of two-way ANOVA performed on data from uRBC and iRBC cultures obtained at 0–8 h (Sheet 1), 16–24 h (Sheet 2), and 32–40 h (Sheet 3).
DOI: 10.6084/m9.figshare.11913147.v1
title: Additional file 8 of Metabolic alterations in the erythrocyte during blood-stage development of the malaria parasite

description: Additional file 8. Comparison of lipid metabolites from this study with Gulati et al. [53].
DOI: 10.6084/m9.figshare.11913141
title: Additional file 7 of Metabolic alterations in the erythrocyte during blood-stage development of the malaria parasite

description: Additional file 7. Fold change in average abundance of lipids (Sheet 1) and fatty acids (Sheet 2) related to Fig. 5.
DOI: 10.6084/m9.figshare.11913135
title: Additional file 6 of Metabolic alterations in the erythrocyte during blood-stage development of the malaria parasite

description: Additional file 6. Fold change in average abundance of all metabolites detected in uRBC and iRBC cultures during the IDC.
DOI: 10.6084/m9.figshare.11913141.v1
title: Additional file 7 of Metabolic alterations in the erythrocyte during blood-stage development of the malaria parasite

description: Additional file 7. Fold change in average abundance of lipids (Sheet 1) and fatty acids (Sheet 2) related to Fig. 5.
DOI: 10.6084/m9.figshare.11913129
title: Additional file 5 of Metabolic alterations in the erythrocyte during blood-stage development of the malaria parasite

description: Additional file 5. Fold change in abundance of metabolites listed in Additional file 4 at 0, 8, 16, 24, 32, and 40 h time point.
DOI: 10.6084/m9.figshare.11913135.v1
title: Additional file 6 of Metabolic alterations in the erythrocyte during blood-stage development of the malaria parasite

description: Additional file 6. Fold change in average abundance of all metabolites detected in uRBC and iRBC cultures during the IDC.
DOI: 10.6084/m9.figshare.11913129.v1
title: Additional file 5 of Metabolic alterations in the erythrocyte during blood-stage development of the malaria parasite

description: Additional file 5. Fold change in abundance of metabolites listed in Additional file 4 at 0, 8, 16, 24, 32, and 40 h time point.
DOI: 10.6084/m9.figshare.11913123
title: Additional file 4 of Metabolic alterations in the erythrocyte during blood-stage development of the malaria parasite

description: Additional file 4. Metabolites that have greater than twofold change in average abundance during the IDC.
DOI: 10.6084/m9.figshare.11913123.v1
title: Additional file 4 of Metabolic alterations in the erythrocyte during blood-stage development of the malaria parasite

description: Additional file 4. Metabolites that have greater than twofold change in average abundance during the IDC.
DOI: 10.6084/m9.figshare.11913117
title: Additional file 3 of Metabolic alterations in the erythrocyte during blood-stage development of the malaria parasite

description: Additional file 3. List of metabolites annotated in Malaria Parasite Metabolic Pathways database.
DOI: 10.6084/m9.figshare.11913111
title: Additional file 2 of Metabolic alterations in the erythrocyte during blood-stage development of the malaria parasite

description: Additional file 2. List of metabolites annotated in Plasmodium metabolite database.
DOI: 10.6084/m9.figshare.11913117.v1
title: Additional file 3 of Metabolic alterations in the erythrocyte during blood-stage development of the malaria parasite

description: Additional file 3. List of metabolites annotated in Malaria Parasite Metabolic Pathways database.
DOI: 10.6084/m9.figshare.11913111.v1
title: Additional file 2 of Metabolic alterations in the erythrocyte during blood-stage development of the malaria parasite

description: Additional file 2. List of metabolites annotated in Plasmodium metabolite database.
DOI: 10.6084/m9.figshare.11913102
title: Additional file 1 of Metabolic alterations in the erythrocyte during blood-stage development of the malaria parasite

description: Additional file 1. List of metabolites not annotated in KEGG and HMDB database.
DOI: 10.6084/m9.figshare.11913102.v1
title: Additional file 1 of Metabolic alterations in the erythrocyte during blood-stage development of the malaria parasite

description: Additional file 1. List of metabolites not annotated in KEGG and HMDB database.
DOI: 10.6084/m9.figshare.11913093
title: Additional file 10 of Metabolic alterations in the erythrocyte during blood-stage development of the malaria parasite

description: Additional file 10. Raw metabolomic data from uRBC and iRBC cultures obtained in quadruplicate at 0, 8, 16, 24, 32, and 40 h time point.
DOI: 10.6084/m9.figshare.11913093.v1
title: Additional file 10 of Metabolic alterations in the erythrocyte during blood-stage development of the malaria parasite

description: Additional file 10. Raw metabolomic data from uRBC and iRBC cultures obtained in quadruplicate at 0, 8, 16, 24, 32, and 40 h time point.
DOI: 10.6084/m9.figshare.11912994
title: Additional file 2 of Genomic insight into the origins and evolution of symbiosis genes in Phaseolus vulgaris microsymbionts

description: Additional file 2: Figure S1. Neighbor-joining species tree based on the 2110 single-copy core genes shared by 50 rhizobial genomes used in this study. The name of each strain is preceded by the cluster number indicated in Additional file 1: Table S1. The 21 Rhizobium strains in bold font were determined in this study. Figure S2. Cross-nodulation tests on Trifolium pretense, Mimosa pudica, Phaseolus vulgaris, and Leucaena leucocephala with seven representative Rhizobium strains. * n = 3 cultivation bags per treatment. ** bold italic letters before strain names indicate the original host. P, Phaseolus vulgaris; T, Trifolium pretense. Figure S3. Core genes of 29 representative Rhizobium strains related to hosts. Neighbor-joining trees of 12 critical symbiosis genes were constructed using 1000 bootstrap replicates (only bootstrap support &gt; 60% is shown). Bar = 5% sequence divergence. Symbiotic characteristics are indicated by different colored solid lines (host; red = Phaseolus vulgaris, green = Mimosa spp., blue = Trifolium spp.). Figure S4. Graphical circular map of the complete genome of R. acidisoli FH23. The outermost circle represents the coordinates of the genome sequence. Circles from outside to inside indicate protein-coding genes, genes BLAST searched against COG, KEGG, and GO databases, non-coding RNA, deviations in G + C content (green/red), and G-C skew (light green/pink). Outermost to innermost positions indicate genes in forward and reverse orientations. Figure S5. Distribution of homologous genes based on COG assignment of unique genes within the symbiosis plasmid of R18-FH23 (R. acidisoli). Figure S6. Prediction of recent HGT genes among strains isolated from different legumes. a Ensifer strains. b Bradyrhizobium strains. The width of links is proportional to the number of predicted recent HGT genes. The darker the link color, the larger the predicted magnitude of the recent HGT event. Figure S7. Correlogram showing correlations between genome size, protein-coding sequences, and COG assignments of the 29 rhizobial strains in three distinct genera. Positive correlations are indicated by cells with lower triangles or circles in upper triangles colored blue from lower left to upper right. Negative correlations are represented by red coloring from the upper left to the lower right. The darker and more saturated the color, the greater the magnitude of the correlation. Weak correlations (near zero) are almost colorless
DOI: 10.6084/m9.figshare.11912994.v1
title: Additional file 2 of Genomic insight into the origins and evolution of symbiosis genes in Phaseolus vulgaris microsymbionts

description: Additional file 2: Figure S1. Neighbor-joining species tree based on the 2110 single-copy core genes shared by 50 rhizobial genomes used in this study. The name of each strain is preceded by the cluster number indicated in Additional file 1: Table S1. The 21 Rhizobium strains in bold font were determined in this study. Figure S2. Cross-nodulation tests on Trifolium pretense, Mimosa pudica, Phaseolus vulgaris, and Leucaena leucocephala with seven representative Rhizobium strains. * n = 3 cultivation bags per treatment. ** bold italic letters before strain names indicate the original host. P, Phaseolus vulgaris; T, Trifolium pretense. Figure S3. Core genes of 29 representative Rhizobium strains related to hosts. Neighbor-joining trees of 12 critical symbiosis genes were constructed using 1000 bootstrap replicates (only bootstrap support &gt; 60% is shown). Bar = 5% sequence divergence. Symbiotic characteristics are indicated by different colored solid lines (host; red = Phaseolus vulgaris, green = Mimosa spp., blue = Trifolium spp.). Figure S4. Graphical circular map of the complete genome of R. acidisoli FH23. The outermost circle represents the coordinates of the genome sequence. Circles from outside to inside indicate protein-coding genes, genes BLAST searched against COG, KEGG, and GO databases, non-coding RNA, deviations in G + C content (green/red), and G-C skew (light green/pink). Outermost to innermost positions indicate genes in forward and reverse orientations. Figure S5. Distribution of homologous genes based on COG assignment of unique genes within the symbiosis plasmid of R18-FH23 (R. acidisoli). Figure S6. Prediction of recent HGT genes among strains isolated from different legumes. a Ensifer strains. b Bradyrhizobium strains. The width of links is proportional to the number of predicted recent HGT genes. The darker the link color, the larger the predicted magnitude of the recent HGT event. Figure S7. Correlogram showing correlations between genome size, protein-coding sequences, and COG assignments of the 29 rhizobial strains in three distinct genera. Positive correlations are indicated by cells with lower triangles or circles in upper triangles colored blue from lower left to upper right. Negative correlations are represented by red coloring from the upper left to the lower right. The darker and more saturated the color, the greater the magnitude of the correlation. Weak correlations (near zero) are almost colorless
DOI: 10.6084/m9.figshare.11912985
title: Additional file 1 of Genomic insight into the origins and evolution of symbiosis genes in Phaseolus vulgaris microsymbionts

description: Additional file 1: Table S1. Genomes used in this study. Table S2. Core genes for which phylogenies are strictly consistent with the species tree. Table S3. Recent horizontal gene transfer (HGT) predictions among 50 Rhizobium strains. Table S4. Average nucleotide identity (ANI, %) and digital DNA:DNA hybridization (dDDH, %) values of 10 Ensifer strains and 17 Bradyrhizobium strains based on whole-genome alignments. Table S5. Recent HGT predictions among 10 Ensifer strains and 17 Bradyrhizobium strains. Table S6. Identities (%) of nodulation- and nitrogen fixation-related genes between sequenced strains and their most closely related strains.
DOI: 10.6084/m9.figshare.11912985.v1
title: Additional file 1 of Genomic insight into the origins and evolution of symbiosis genes in Phaseolus vulgaris microsymbionts

description: Additional file 1: Table S1. Genomes used in this study. Table S2. Core genes for which phylogenies are strictly consistent with the species tree. Table S3. Recent horizontal gene transfer (HGT) predictions among 50 Rhizobium strains. Table S4. Average nucleotide identity (ANI, %) and digital DNA:DNA hybridization (dDDH, %) values of 10 Ensifer strains and 17 Bradyrhizobium strains based on whole-genome alignments. Table S5. Recent HGT predictions among 10 Ensifer strains and 17 Bradyrhizobium strains. Table S6. Identities (%) of nodulation- and nitrogen fixation-related genes between sequenced strains and their most closely related strains.
DOI: 10.6084/m9.figshare.11912892
title: Additional file 3 of Epidemiology of malaria and chloroquine resistance in Mizoram, northeastern India, a malaria-endemic region bordering Myanmar

description: Additional file 3: Table S3. . Detailed analysis on epidemiological data.
DOI: 10.6084/m9.figshare.11912886
title: Additional file 2 of Epidemiology of malaria and chloroquine resistance in Mizoram, northeastern India, a malaria-endemic region bordering Myanmar

description: Additional file 2: Table S2. Voucher ID of samples and their respective GenBank Accession Numbers.
DOI: 10.6084/m9.figshare.11912892.v1
title: Additional file 3 of Epidemiology of malaria and chloroquine resistance in Mizoram, northeastern India, a malaria-endemic region bordering Myanmar

description: Additional file 3: Table S3. . Detailed analysis on epidemiological data.
DOI: 10.6084/m9.figshare.11912883
title: Additional file 1 of Epidemiology of malaria and chloroquine resistance in Mizoram, northeastern India, a malaria-endemic region bordering Myanmar

description: Additional file 1: Table S1. Details of primers used in the study.
DOI: 10.6084/m9.figshare.11912883.v1
title: Additional file 1 of Epidemiology of malaria and chloroquine resistance in Mizoram, northeastern India, a malaria-endemic region bordering Myanmar

description: Additional file 1: Table S1. Details of primers used in the study.
DOI: 10.6084/m9.figshare.11912886.v1
title: Additional file 2 of Epidemiology of malaria and chloroquine resistance in Mizoram, northeastern India, a malaria-endemic region bordering Myanmar

description: Additional file 2: Table S2. Voucher ID of samples and their respective GenBank Accession Numbers.
DOI: 10.6084/m9.figshare.11912874
title: Additional file 1 of Prevalence, associated factors and medication for symptoms related to gastroesophageal reflux disease among 1114 private-tuition students of Anuradhapura, Sri Lanka

description: Additional file 1. Prevalence, associated factors and medication for GORD among private tuition attendees of Anuradhapura, Sri Lanka – 2019. Description of data –This contains the data of the entire study
DOI: 10.6084/m9.figshare.11912874.v1
title: Additional file 1 of Prevalence, associated factors and medication for symptoms related to gastroesophageal reflux disease among 1114 private-tuition students of Anuradhapura, Sri Lanka

description: Additional file 1. Prevalence, associated factors and medication for GORD among private tuition attendees of Anuradhapura, Sri Lanka – 2019. Description of data –This contains the data of the entire study
DOI: 10.6084/m9.figshare.11912742
title: Additional file 3 of Do healthcare needs-based population segments predict outcomes among the elderly? Findings from a prospective cohort study in an urbanized low-income community

description: Additional file 3. Mapping scheme. Detailed segmentation base of population segmentation schemes evaluated in this study.
DOI: 10.6084/m9.figshare.11912742.v1
title: Additional file 3 of Do healthcare needs-based population segments predict outcomes among the elderly? Findings from a prospective cohort study in an urbanized low-income community

description: Additional file 3. Mapping scheme. Detailed segmentation base of population segmentation schemes evaluated in this study.
DOI: 10.6084/m9.figshare.11912709
title: Additional file 3 of Consequences of larval competition and exposure to permethrin for the development of the rodent malaria Plasmodium berghei in the mosquito Anopheles gambiae

description: Additional file 3: Table S3. Permethrin lethality trial.
DOI: 10.6084/m9.figshare.11912709.v1
title: Additional file 3 of Consequences of larval competition and exposure to permethrin for the development of the rodent malaria Plasmodium berghei in the mosquito Anopheles gambiae

description: Additional file 3: Table S3. Permethrin lethality trial.
DOI: 10.6084/m9.figshare.11912700
title: Additional file 1 of Consequences of larval competition and exposure to permethrin for the development of the rodent malaria Plasmodium berghei in the mosquito Anopheles gambiae

description: Additional file 1: Table S1. Development of mosquito larvae.
DOI: 10.6084/m9.figshare.11912703
title: Additional file 2 of Consequences of larval competition and exposure to permethrin for the development of the rodent malaria Plasmodium berghei in the mosquito Anopheles gambiae

description: Additional file 2: Table S2. Longevity and infection parameters of mosquitoes infected with P. berghei.
DOI: 10.6084/m9.figshare.11912700.v1
title: Additional file 1 of Consequences of larval competition and exposure to permethrin for the development of the rodent malaria Plasmodium berghei in the mosquito Anopheles gambiae

description: Additional file 1: Table S1. Development of mosquito larvae.
DOI: 10.6084/m9.figshare.11912703.v1
title: Additional file 2 of Consequences of larval competition and exposure to permethrin for the development of the rodent malaria Plasmodium berghei in the mosquito Anopheles gambiae

description: Additional file 2: Table S2. Longevity and infection parameters of mosquitoes infected with P. berghei.
DOI: 10.6084/m9.figshare.11912682
title: Insect survey data by method and pollinator group

description: This dataset includes the number of individuals observed through various sampling methods - visual observation and time-lapse for bee, hoverfly, butterfly, and wasps, and light trapping for moths over 12 sampling periods.
DOI: 10.6084/m9.figshare.11912673
title: Additional file 2 of Complete genome of Enterobacter sichuanensis strain SGAir0282 isolated from air in Singapore

description: Additional file 2: Table S1. Similarity search result using 16S rRNA gene of strain SGAir0282. NCBI’s BLASTn search was used for submitting query sequence, 16S rRNA gene. The alignment search was performed against nucleotide collection. Other parameters were kept at default.
DOI: 10.6084/m9.figshare.11912679
title: Additional file 4 of Complete genome of Enterobacter sichuanensis strain SGAir0282 isolated from air in Singapore

description: Additional file 4: Table S3. Pairwise distance matrix showing distance between genomes on the Neighbour-joining tree. k-mer based kSNP3 analysis was performed on our dataset. k-mer was set at 19 nucleotides. Genome sequence of SGAir0282 was used as reference.
DOI: 10.6084/m9.figshare.11912673.v1
title: Additional file 2 of Complete genome of Enterobacter sichuanensis strain SGAir0282 isolated from air in Singapore

description: Additional file 2: Table S1. Similarity search result using 16S rRNA gene of strain SGAir0282. NCBI’s BLASTn search was used for submitting query sequence, 16S rRNA gene. The alignment search was performed against nucleotide collection. Other parameters were kept at default.
DOI: 10.6084/m9.figshare.11912679.v1
title: Additional file 4 of Complete genome of Enterobacter sichuanensis strain SGAir0282 isolated from air in Singapore

description: Additional file 4: Table S3. Pairwise distance matrix showing distance between genomes on the Neighbour-joining tree. k-mer based kSNP3 analysis was performed on our dataset. k-mer was set at 19 nucleotides. Genome sequence of SGAir0282 was used as reference.
DOI: 10.6084/m9.figshare.11912658
title: Additional file 1 of Complete genome of Enterobacter sichuanensis strain SGAir0282 isolated from air in Singapore

description: Additional file 1. The variant call was performed by kSNP3. Dataset used here was defined in the method section. Strain SGAir0282 was used as reference genome.
DOI: 10.6084/m9.figshare.11912658.v1
title: Additional file 1 of Complete genome of Enterobacter sichuanensis strain SGAir0282 isolated from air in Singapore

description: Additional file 1. The variant call was performed by kSNP3. Dataset used here was defined in the method section. Strain SGAir0282 was used as reference genome.
DOI: 10.6084/m9.figshare.11912634
title: Additional file 3 of Social return on investment (SROI) method to evaluate physical activity and sport interventions: a systematic review

description: Additional file 3. Outcome groups and categories
DOI: 10.6084/m9.figshare.11912634.v1
title: Additional file 3 of Social return on investment (SROI) method to evaluate physical activity and sport interventions: a systematic review

description: Additional file 3. Outcome groups and categories
DOI: 10.6084/m9.figshare.11912628
title: Additional file 2 of Social return on investment (SROI) method to evaluate physical activity and sport interventions: a systematic review

description: Additional file 2. Quality assessment
DOI: 10.6084/m9.figshare.11912622
title: Additional file 2 of Income-related inequality in quality-adjusted life expectancy in Korea at the national and district levels

description: Additional file 2 : Supplementary Table 9. Quality-adjusted life expectancy (QALE) by income and gender among 245 districts in Korea, 2008-2014. Supplementary Table 10. Life expectancy (LE) by income and gender among 245 districts in Korea, 2008-2014. Supplementary Table 11. Distribution of population size and the number of death by income and gender among 245 districts in Korea, 2008-2014. Supplementary Table 12. Mean and 95% CI of EQ-5D scores by income and gender in Korea, 2008-2014. Supplementary Table 13. Distribution of EQ-5D scores by income and gender among 245 districts in Korea, 2008-2014.
DOI: 10.6084/m9.figshare.11912628.v1
title: Additional file 2 of Social return on investment (SROI) method to evaluate physical activity and sport interventions: a systematic review

description: Additional file 2. Quality assessment
DOI: 10.6084/m9.figshare.11912622.v1
title: Additional file 2 of Income-related inequality in quality-adjusted life expectancy in Korea at the national and district levels

description: Additional file 2 : Supplementary Table 9. Quality-adjusted life expectancy (QALE) by income and gender among 245 districts in Korea, 2008-2014. Supplementary Table 10. Life expectancy (LE) by income and gender among 245 districts in Korea, 2008-2014. Supplementary Table 11. Distribution of population size and the number of death by income and gender among 245 districts in Korea, 2008-2014. Supplementary Table 12. Mean and 95% CI of EQ-5D scores by income and gender in Korea, 2008-2014. Supplementary Table 13. Distribution of EQ-5D scores by income and gender among 245 districts in Korea, 2008-2014.
DOI: 10.6084/m9.figshare.11912613
title: Additional file 4 of The use of taxon-specific reference databases compromises metagenomic classification

description: Additional file 4. BLAST results of putative fungal sequences identified with HumanMycobiomeScan in sample H1.
DOI: 10.6084/m9.figshare.11912610
title: Additional file 3 of The use of taxon-specific reference databases compromises metagenomic classification

description: Additional file 3. Taxonomic profiling of metagenome samples from hunter-gatherers and Western populations using the CCMetagen pipeline.
DOI: 10.6084/m9.figshare.11912613.v1
title: Additional file 4 of The use of taxon-specific reference databases compromises metagenomic classification

description: Additional file 4. BLAST results of putative fungal sequences identified with HumanMycobiomeScan in sample H1.
DOI: 10.6084/m9.figshare.11912610.v1
title: Additional file 3 of The use of taxon-specific reference databases compromises metagenomic classification

description: Additional file 3. Taxonomic profiling of metagenome samples from hunter-gatherers and Western populations using the CCMetagen pipeline.