cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.11979039.v1
title: Additional file 3 of Effectiveness of ecotechnologies in agriculture for the recovery and reuse of carbon and nutrients in the Baltic and boreo-temperate regions: a systematic map

description: Additional file 3. List of unobtainable articles.
DOI: 10.6084/m9.figshare.11979030.v1
title: Additional file 2 of Effectiveness of ecotechnologies in agriculture for the recovery and reuse of carbon and nutrients in the Baltic and boreo-temperate regions: a systematic map

description: Additional file 2. Search results.
DOI: 10.6084/m9.figshare.11979021
title: Additional file 1 of Effectiveness of ecotechnologies in agriculture for the recovery and reuse of carbon and nutrients in the Baltic and boreo-temperate regions: a systematic map

description: Additional file 1. ROSES form for systematic maps.
DOI: 10.6084/m9.figshare.11979021.v1
title: Additional file 1 of Effectiveness of ecotechnologies in agriculture for the recovery and reuse of carbon and nutrients in the Baltic and boreo-temperate regions: a systematic map

description: Additional file 1. ROSES form for systematic maps.
DOI: 10.6084/m9.figshare.11979015
title: Additional file 5 of Level of self-care practice among diabetic patients in Ethiopia: a systematic review and meta-analysis

description: Additional File 5. Diabetic foot-care data set.
DOI: 10.6084/m9.figshare.11979015.v1
title: Additional file 5 of Level of self-care practice among diabetic patients in Ethiopia: a systematic review and meta-analysis

description: Additional File 5. Diabetic foot-care data set.
DOI: 10.6084/m9.figshare.11979003
title: Additional file 3 of Level of self-care practice among diabetic patients in Ethiopia: a systematic review and meta-analysis

description: Additional File 3. Self-monitoring blood glucose dataset.
DOI: 10.6084/m9.figshare.11979003.v1
title: Additional file 3 of Level of self-care practice among diabetic patients in Ethiopia: a systematic review and meta-analysis

description: Additional File 3. Self-monitoring blood glucose dataset.
DOI: 10.6084/m9.figshare.11979009
title: Additional file 4 of Level of self-care practice among diabetic patients in Ethiopia: a systematic review and meta-analysis

description: Additional File 4. Physical activity data set.
DOI: 10.6084/m9.figshare.11978997
title: Additional file 2 of Level of self-care practice among diabetic patients in Ethiopia: a systematic review and meta-analysis

description: Additional File 2. Dietary practice data set.
DOI: 10.6084/m9.figshare.11979009.v1
title: Additional file 4 of Level of self-care practice among diabetic patients in Ethiopia: a systematic review and meta-analysis

description: Additional File 4. Physical activity data set.
DOI: 10.6084/m9.figshare.11978991
title: Additional file 1 of Level of self-care practice among diabetic patients in Ethiopia: a systematic review and meta-analysis

description: Additional File 1. Over all diabetic self-care data set.
DOI: 10.6084/m9.figshare.11978997.v1
title: Additional file 2 of Level of self-care practice among diabetic patients in Ethiopia: a systematic review and meta-analysis

description: Additional File 2. Dietary practice data set.
DOI: 10.6084/m9.figshare.11978991.v1
title: Additional file 1 of Level of self-care practice among diabetic patients in Ethiopia: a systematic review and meta-analysis

description: Additional File 1. Over all diabetic self-care data set.
DOI: 10.6084/m9.figshare.11978964
title: Additional file 13 of Identification of potential novel biomarkers to differentiate malignant thyroid nodules with cytological indeterminate

description: Additional file 13: Table S7. The Genetic Alterations type of query genes.
DOI: 10.6084/m9.figshare.11978964.v1
title: Additional file 13 of Identification of potential novel biomarkers to differentiate malignant thyroid nodules with cytological indeterminate

description: Additional file 13: Table S7. The Genetic Alterations type of query genes.
DOI: 10.6084/m9.figshare.11978943
title: Additional file 3 of Identification of the regulatory networks and hub genes controlling alfalfa floral pigmentation variation using RNA-sequencing analysis

description: Additional file 3: Table S2. Isoforms statistics of the 513 new isoforms. A total of 309 new isoforms were annotated in the Swiss-Prot database, and the remaining 204 isoforms were unannotated.
DOI: 10.6084/m9.figshare.11978943.v1
title: Additional file 3 of Identification of the regulatory networks and hub genes controlling alfalfa floral pigmentation variation using RNA-sequencing analysis

description: Additional file 3: Table S2. Isoforms statistics of the 513 new isoforms. A total of 309 new isoforms were annotated in the Swiss-Prot database, and the remaining 204 isoforms were unannotated.
DOI: 10.6084/m9.figshare.11978919
title: Additional file 6 of Urinary proteomics of Henoch-Schönlein purpura nephritis in children using liquid chromatography-tandem mass spectrometry

description: Additional file 6. The detail information of Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis.
DOI: 10.6084/m9.figshare.11978919.v1
title: Additional file 6 of Urinary proteomics of Henoch-Schönlein purpura nephritis in children using liquid chromatography-tandem mass spectrometry

description: Additional file 6. The detail information of Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis.
DOI: 10.6084/m9.figshare.11978910
title: Additional file 5 of Urinary proteomics of Henoch-Schönlein purpura nephritis in children using liquid chromatography-tandem mass spectrometry

description: Additional file 5. The detail information of gene ontology (GO) enrichment analysis.
DOI: 10.6084/m9.figshare.11978910.v1
title: Additional file 5 of Urinary proteomics of Henoch-Schönlein purpura nephritis in children using liquid chromatography-tandem mass spectrometry

description: Additional file 5. The detail information of gene ontology (GO) enrichment analysis.
DOI: 10.6084/m9.figshare.11978898
title: Additional file 3 of Urinary proteomics of Henoch-Schönlein purpura nephritis in children using liquid chromatography-tandem mass spectrometry

description: Additional file 3. Clinical characteristics of patients in group C.
DOI: 10.6084/m9.figshare.11978901
title: Additional file 4 of Urinary proteomics of Henoch-Schönlein purpura nephritis in children using liquid chromatography-tandem mass spectrometry

description: Additional file 4. Raw data of the information of 125 proteins.
DOI: 10.6084/m9.figshare.11978901.v1
title: Additional file 4 of Urinary proteomics of Henoch-Schönlein purpura nephritis in children using liquid chromatography-tandem mass spectrometry

description: Additional file 4. Raw data of the information of 125 proteins.
DOI: 10.6084/m9.figshare.11978895
title: Additional file 2 of Urinary proteomics of Henoch-Schönlein purpura nephritis in children using liquid chromatography-tandem mass spectrometry

description: Additional file 2. Clinical characteristics of patients in group B.
DOI: 10.6084/m9.figshare.11978898.v1
title: Additional file 3 of Urinary proteomics of Henoch-Schönlein purpura nephritis in children using liquid chromatography-tandem mass spectrometry

description: Additional file 3. Clinical characteristics of patients in group C.
DOI: 10.6084/m9.figshare.11978892
title: Additional file 1 of Urinary proteomics of Henoch-Schönlein purpura nephritis in children using liquid chromatography-tandem mass spectrometry

description: Additional file 1. Clinical characteristics of patients in group A.
DOI: 10.6084/m9.figshare.11978892.v1
title: Additional file 1 of Urinary proteomics of Henoch-Schönlein purpura nephritis in children using liquid chromatography-tandem mass spectrometry

description: Additional file 1. Clinical characteristics of patients in group A.
DOI: 10.6084/m9.figshare.11978895.v1
title: Additional file 2 of Urinary proteomics of Henoch-Schönlein purpura nephritis in children using liquid chromatography-tandem mass spectrometry

description: Additional file 2. Clinical characteristics of patients in group B.
DOI: 10.6084/m9.figshare.11978883
title: Additional file 2 of Journal impact factor, trial effect size, and methodological quality appear scantly related: a systematic review and meta-analysis

description: Additional file 2.
DOI: 10.6084/m9.figshare.11978883.v1
title: Additional file 2 of Journal impact factor, trial effect size, and methodological quality appear scantly related: a systematic review and meta-analysis

description: Additional file 2.
DOI: 10.6084/m9.figshare.11978781
title: Additional file 2 of Dispensation of attention deficit hyperactivity disorder (ADHD) medications in patients receiving opioid agonist therapy; a national prospective cohort study in Norway from 2015 to 2017

description: Additional file 2. Converting table of DDD to milligrams according to WHO’s standards. ATC = The Anatomical Therapeutic Chemical (ATC) classification system, ADHD = Attention deficit hyperactivity disorder, DDD = defined daily doses, mg = milligram, WHO = World Health Organization.
DOI: 10.6084/m9.figshare.11978778
title: Additional file 4 of Identification of molecules associated with response to abatacept in patients with rheumatoid arthritis

description: Additional file 4. List of genes with higher and lower expression levels in EULAR good responders compared to moderate and non-responders.
DOI: 10.6084/m9.figshare.11978781.v1
title: Additional file 2 of Dispensation of attention deficit hyperactivity disorder (ADHD) medications in patients receiving opioid agonist therapy; a national prospective cohort study in Norway from 2015 to 2017

description: Additional file 2. Converting table of DDD to milligrams according to WHO’s standards. ATC = The Anatomical Therapeutic Chemical (ATC) classification system, ADHD = Attention deficit hyperactivity disorder, DDD = defined daily doses, mg = milligram, WHO = World Health Organization.
DOI: 10.6084/m9.figshare.11978772
title: Additional file 3 of Identification of molecules associated with response to abatacept in patients with rheumatoid arthritis

description: Additional file 3. List of genes with higher and lower expression levels in EULAR good responders compared to non-responders.
DOI: 10.6084/m9.figshare.11978775
title: Additional file 1 of Dispensation of attention deficit hyperactivity disorder (ADHD) medications in patients receiving opioid agonist therapy; a national prospective cohort study in Norway from 2015 to 2017

description: Additional file 1. ATC codes for included drugs, or drug groups. ADHD = Attention deficit hyperactivity disorder, ATC = Anatomical Therapeutic Chemical (ATC) classification system, and OAT = opioid agonist therapy. An overview of drugs and drug groups included in this study.
DOI: 10.6084/m9.figshare.11978775.v1
title: Additional file 1 of Dispensation of attention deficit hyperactivity disorder (ADHD) medications in patients receiving opioid agonist therapy; a national prospective cohort study in Norway from 2015 to 2017

description: Additional file 1. ATC codes for included drugs, or drug groups. ADHD = Attention deficit hyperactivity disorder, ATC = Anatomical Therapeutic Chemical (ATC) classification system, and OAT = opioid agonist therapy. An overview of drugs and drug groups included in this study.
DOI: 10.6084/m9.figshare.11978778.v1
title: Additional file 4 of Identification of molecules associated with response to abatacept in patients with rheumatoid arthritis

description: Additional file 4. List of genes with higher and lower expression levels in EULAR good responders compared to moderate and non-responders.
DOI: 10.6084/m9.figshare.11978772.v1
title: Additional file 3 of Identification of molecules associated with response to abatacept in patients with rheumatoid arthritis

description: Additional file 3. List of genes with higher and lower expression levels in EULAR good responders compared to non-responders.
DOI: 10.6084/m9.figshare.11978709
title: Additional file 2 of Mutation landscape of germline and somatic BRCA1/2 in patients with high-grade serous ovarian cancer

description: Additional file 2: Supplement Table 2. All information on patients enrolled in this study.
DOI: 10.6084/m9.figshare.11978709.v1
title: Additional file 2 of Mutation landscape of germline and somatic BRCA1/2 in patients with high-grade serous ovarian cancer

description: Additional file 2: Supplement Table 2. All information on patients enrolled in this study.
DOI: 10.6084/m9.figshare.11978580
title: Additional file 9 of New insights from the biogas microbiome by comprehensive genome-resolved metagenomics of nearly 1600 species originating from multiple anaerobic digesters

description: Additional file 9. KEGG modules. Completeness of each KEGG module was reported for the high and medium-high quality MAGs.
DOI: 10.6084/m9.figshare.11978568
title: Additional file 7 of New insights from the biogas microbiome by comprehensive genome-resolved metagenomics of nearly 1600 species originating from multiple anaerobic digesters

description: Additional file 7. Diversity indexes. Indexes were calculated for each sample in order to estimate the characteristics of the microbiome. Results were obtained starting from the files reporting the number of reads assigned to each MAG on each sample (subsampling all the samples to 1 million reads) and subsequently elaborated using PAST software. Colors reported in line 2 refer to the projects from which reads have been collected. Remaining colors were assigned in order to discriminate low and high values in a heatmap scale.
DOI: 10.6084/m9.figshare.11978565
title: Additional file 6 of New insights from the biogas microbiome by comprehensive genome-resolved metagenomics of nearly 1600 species originating from multiple anaerobic digesters

description: Additional file 6. Relative abundance of each taxa in the samples examined. Relative abundance of all the MAG having the same taxonomic assignment were combined in order to determine the relative abundance of each taxon as reported in columns D-CP. All the taxonomic levels from kingdom to genus were considered.
DOI: 10.6084/m9.figshare.11978568.v1
title: Additional file 7 of New insights from the biogas microbiome by comprehensive genome-resolved metagenomics of nearly 1600 species originating from multiple anaerobic digesters

description: Additional file 7. Diversity indexes. Indexes were calculated for each sample in order to estimate the characteristics of the microbiome. Results were obtained starting from the files reporting the number of reads assigned to each MAG on each sample (subsampling all the samples to 1 million reads) and subsequently elaborated using PAST software. Colors reported in line 2 refer to the projects from which reads have been collected. Remaining colors were assigned in order to discriminate low and high values in a heatmap scale.
DOI: 10.6084/m9.figshare.11978571
title: Additional file 8 of New insights from the biogas microbiome by comprehensive genome-resolved metagenomics of nearly 1600 species originating from multiple anaerobic digesters

description: Additional file 8. MAGs coverage per sample. MAGs coverage was calculated on all the samples (average values were considered for samples collected in replicates).
DOI: 10.6084/m9.figshare.11978580.v1
title: Additional file 9 of New insights from the biogas microbiome by comprehensive genome-resolved metagenomics of nearly 1600 species originating from multiple anaerobic digesters

description: Additional file 9. KEGG modules. Completeness of each KEGG module was reported for the high and medium-high quality MAGs.
DOI: 10.6084/m9.figshare.11978562
title: Additional file 8 of A multiplex guide RNA expression system and its efficacy for plant genome engineering

description: Additional file 8. List of primers used in this study.
DOI: 10.6084/m9.figshare.11978571.v1
title: Additional file 8 of New insights from the biogas microbiome by comprehensive genome-resolved metagenomics of nearly 1600 species originating from multiple anaerobic digesters

description: Additional file 8. MAGs coverage per sample. MAGs coverage was calculated on all the samples (average values were considered for samples collected in replicates).
DOI: 10.6084/m9.figshare.11978559
title: Additional file 5 of New insights from the biogas microbiome by comprehensive genome-resolved metagenomics of nearly 1600 species originating from multiple anaerobic digesters

description: Additional file 5. Comparison of MAGs with those reported in previous projects.
DOI: 10.6084/m9.figshare.11978562.v1
title: Additional file 8 of A multiplex guide RNA expression system and its efficacy for plant genome engineering

description: Additional file 8. List of primers used in this study.
DOI: 10.6084/m9.figshare.11978565.v1
title: Additional file 6 of New insights from the biogas microbiome by comprehensive genome-resolved metagenomics of nearly 1600 species originating from multiple anaerobic digesters

description: Additional file 6. Relative abundance of each taxa in the samples examined. Relative abundance of all the MAG having the same taxonomic assignment were combined in order to determine the relative abundance of each taxon as reported in columns D-CP. All the taxonomic levels from kingdom to genus were considered.
DOI: 10.6084/m9.figshare.11978559.v1
title: Additional file 5 of New insights from the biogas microbiome by comprehensive genome-resolved metagenomics of nearly 1600 species originating from multiple anaerobic digesters

description: Additional file 5. Comparison of MAGs with those reported in previous projects.
DOI: 10.6084/m9.figshare.11978550
title: Additional file 4 of New insights from the biogas microbiome by comprehensive genome-resolved metagenomics of nearly 1600 species originating from multiple anaerobic digesters

description: Additional file 4. MAGs taxonomy. MAGs obtained after redundancy removal (based on ANI calculation) were assigned to the taxonomy using three different methods and results were subsequently combined.
DOI: 10.6084/m9.figshare.11978550.v1
title: Additional file 4 of New insights from the biogas microbiome by comprehensive genome-resolved metagenomics of nearly 1600 species originating from multiple anaerobic digesters

description: Additional file 4. MAGs taxonomy. MAGs obtained after redundancy removal (based on ANI calculation) were assigned to the taxonomy using three different methods and results were subsequently combined.
DOI: 10.6084/m9.figshare.11978541
title: Additional file 3 of New insights from the biogas microbiome by comprehensive genome-resolved metagenomics of nearly 1600 species originating from multiple anaerobic digesters

description: Additional file 3. Global statistics of the assemblies and binning.
DOI: 10.6084/m9.figshare.11978541.v1
title: Additional file 3 of New insights from the biogas microbiome by comprehensive genome-resolved metagenomics of nearly 1600 species originating from multiple anaerobic digesters

description: Additional file 3. Global statistics of the assemblies and binning.
DOI: 10.6084/m9.figshare.11978526
title: Additional file 1 of New insights from the biogas microbiome by comprehensive genome-resolved metagenomics of nearly 1600 species originating from multiple anaerobic digesters

description: Additional file 1. Metadata of the samples included in the present study. The composition of the feedstocks used in the different reactors was approximated using substrate information from various sources. When available, such data was taken from the publicly accessible description of the respective experiments or full-scale plant operation datasets. Otherwise, reactor feedstocks were estimated by a proportionality-based mixing technique: taking the characteristics of their individual constituents from available literature and combining them according to their fresh matter (FM) or volatile solid (VS) ratio in the feed.
DOI: 10.6084/m9.figshare.11978520
title: Additional file 14 of New insights from the biogas microbiome by comprehensive genome-resolved metagenomics of nearly 1600 species originating from multiple anaerobic digesters

description: Additional file 14. Results obtained using RAST (Rapid Annotation using Subsystem Technology). MAGs genes were assigned to the function using RAST and the number of genes identified per each functional category (FL = first level; SL = second level) are reported. Functional categories are reported in column B, while MAGs are reported in rows (2 is MAG ID and 3 is MAG name assigned considering taxonomy).
DOI: 10.6084/m9.figshare.11978526.v1
title: Additional file 1 of New insights from the biogas microbiome by comprehensive genome-resolved metagenomics of nearly 1600 species originating from multiple anaerobic digesters

description: Additional file 1. Metadata of the samples included in the present study. The composition of the feedstocks used in the different reactors was approximated using substrate information from various sources. When available, such data was taken from the publicly accessible description of the respective experiments or full-scale plant operation datasets. Otherwise, reactor feedstocks were estimated by a proportionality-based mixing technique: taking the characteristics of their individual constituents from available literature and combining them according to their fresh matter (FM) or volatile solid (VS) ratio in the feed.
DOI: 10.6084/m9.figshare.11978514
title: Additional file 13 of New insights from the biogas microbiome by comprehensive genome-resolved metagenomics of nearly 1600 species originating from multiple anaerobic digesters

description: Additional file 13. Index of replication. iRep values were calculated for each MAG in all the samples considered. Average values were calculated for replicate samples. All samples are reported in column 2, while MAGs IDs and names are reported in columns A and B.
DOI: 10.6084/m9.figshare.11978520.v1
title: Additional file 14 of New insights from the biogas microbiome by comprehensive genome-resolved metagenomics of nearly 1600 species originating from multiple anaerobic digesters

description: Additional file 14. Results obtained using RAST (Rapid Annotation using Subsystem Technology). MAGs genes were assigned to the function using RAST and the number of genes identified per each functional category (FL = first level; SL = second level) are reported. Functional categories are reported in column B, while MAGs are reported in rows (2 is MAG ID and 3 is MAG name assigned considering taxonomy).
DOI: 10.6084/m9.figshare.11978511
title: Additional file 12 of New insights from the biogas microbiome by comprehensive genome-resolved metagenomics of nearly 1600 species originating from multiple anaerobic digesters

description: Additional file 12. Enrichment of CAZymes classes in MAGs. Number of proteins assigned to different classes and determined using dbCAN software. Only HQ and MHQ MAGs have been considered.
DOI: 10.6084/m9.figshare.11978511.v1
title: Additional file 12 of New insights from the biogas microbiome by comprehensive genome-resolved metagenomics of nearly 1600 species originating from multiple anaerobic digesters

description: Additional file 12. Enrichment of CAZymes classes in MAGs. Number of proteins assigned to different classes and determined using dbCAN software. Only HQ and MHQ MAGs have been considered.
DOI: 10.6084/m9.figshare.11978514.v1
title: Additional file 13 of New insights from the biogas microbiome by comprehensive genome-resolved metagenomics of nearly 1600 species originating from multiple anaerobic digesters

description: Additional file 13. Index of replication. iRep values were calculated for each MAG in all the samples considered. Average values were calculated for replicate samples. All samples are reported in column 2, while MAGs IDs and names are reported in columns A and B.