cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12947993
title: Additional file 8 of Evidence of the impact of noise pollution on biodiversity: a systematic map

description: Additional file 8. Accepted full-texts published in 2019–2020.
DOI: 10.6084/m9.figshare.12947993.v1
title: Additional file 8 of Evidence of the impact of noise pollution on biodiversity: a systematic map

description: Additional file 8. Accepted full-texts published in 2019–2020.
DOI: 10.6084/m9.figshare.12947996
title: Additional file 9 of Evidence of the impact of noise pollution on biodiversity: a systematic map

description: Additional file 9. Systematic map database.
DOI: 10.6084/m9.figshare.12947996.v1
title: Additional file 9 of Evidence of the impact of noise pollution on biodiversity: a systematic map

description: Additional file 9. Systematic map database.
DOI: 10.6084/m9.figshare.14516162
title: Additional file 1 of What evidence exists on the impact of specific ecosystem components and functions on infectious diseases? A systematic map

description: Additional file 1. ROSES form
DOI: 10.6084/m9.figshare.14516162.v1
title: Additional file 1 of What evidence exists on the impact of specific ecosystem components and functions on infectious diseases? A systematic map

description: Additional file 1. ROSES form
DOI: 10.6084/m9.figshare.14516171
title: Additional file 3 of What evidence exists on the impact of specific ecosystem components and functions on infectious diseases? A systematic map

description: Additional file 3. Tests related to the screening of titles and abstract, and Kappa scores
DOI: 10.6084/m9.figshare.14516171.v1
title: Additional file 3 of What evidence exists on the impact of specific ecosystem components and functions on infectious diseases? A systematic map

description: Additional file 3. Tests related to the screening of titles and abstract, and Kappa scores
DOI: 10.6084/m9.figshare.14516174
title: Additional file 4 of What evidence exists on the impact of specific ecosystem components and functions on infectious diseases? A systematic map

description: Additional file 4. Lists of articles rejected at full-text and articles for which the full-text was not found (worksheet 1), and articles excluded from study validity assessment because of a unique “disease x exposure” combination (worksheet 2)
DOI: 10.6084/m9.figshare.14516174.v1
title: Additional file 4 of What evidence exists on the impact of specific ecosystem components and functions on infectious diseases? A systematic map

description: Additional file 4. Lists of articles rejected at full-text and articles for which the full-text was not found (worksheet 1), and articles excluded from study validity assessment because of a unique “disease x exposure” combination (worksheet 2)
DOI: 10.6084/m9.figshare.14516177
title: Additional file 5 of What evidence exists on the impact of specific ecosystem components and functions on infectious diseases? A systematic map

description: Additional file 5. Description of studies included in the systematic map (worksheet 1) and validity assessment (worksheet 2)
DOI: 10.6084/m9.figshare.14516177.v1
title: Additional file 5 of What evidence exists on the impact of specific ecosystem components and functions on infectious diseases? A systematic map

description: Additional file 5. Description of studies included in the systematic map (worksheet 1) and validity assessment (worksheet 2)
DOI: 10.6084/m9.figshare.16851276
title: Additional file 2 of Starch branching enzymes as putative determinants of postharvest quality in horticultural crops

description: Additional file 2: Table S1. SBE expression, starch and sugar content, relative levels of amylopectin (AP) and amylose (AM) in various species. Table S2. STRING analyses of potential SBE-protein interactions. Table S3. Starch content and respiration data in various ripening produce.
DOI: 10.6084/m9.figshare.16851276.v1
title: Additional file 2 of Starch branching enzymes as putative determinants of postharvest quality in horticultural crops

description: Additional file 2: Table S1. SBE expression, starch and sugar content, relative levels of amylopectin (AP) and amylose (AM) in various species. Table S2. STRING analyses of potential SBE-protein interactions. Table S3. Starch content and respiration data in various ripening produce.
DOI: 10.6084/m9.figshare.21384235
title: Additional file 10 of Genome-scale analysis of Arabidopsis splicing-related protein kinase families reveals roles in abiotic stress adaptation

description: Additional file 10.
DOI: 10.6084/m9.figshare.21384235.v2
title: Additional file 10 of Genome-scale analysis of Arabidopsis splicing-related protein kinase families reveals roles in abiotic stress adaptation

description: Additional file 10.
DOI: 10.6084/m9.figshare.21384238
title: Additional file 11 of Genome-scale analysis of Arabidopsis splicing-related protein kinase families reveals roles in abiotic stress adaptation

description: Additional file 11.
DOI: 10.6084/m9.figshare.21384238.v2
title: Additional file 11 of Genome-scale analysis of Arabidopsis splicing-related protein kinase families reveals roles in abiotic stress adaptation

description: Additional file 11.
DOI: 10.6084/m9.figshare.21384244
title: Additional file 13 of Genome-scale analysis of Arabidopsis splicing-related protein kinase families reveals roles in abiotic stress adaptation

description: Additional file 13.
DOI: 10.6084/m9.figshare.21384244.v2
title: Additional file 13 of Genome-scale analysis of Arabidopsis splicing-related protein kinase families reveals roles in abiotic stress adaptation

description: Additional file 13.
DOI: 10.6084/m9.figshare.21384247
title: Additional file 14 of Genome-scale analysis of Arabidopsis splicing-related protein kinase families reveals roles in abiotic stress adaptation

description: Additional file 14.
DOI: 10.6084/m9.figshare.21384247.v2
title: Additional file 14 of Genome-scale analysis of Arabidopsis splicing-related protein kinase families reveals roles in abiotic stress adaptation

description: Additional file 14.
DOI: 10.6084/m9.figshare.21384250
title: Additional file 15 of Genome-scale analysis of Arabidopsis splicing-related protein kinase families reveals roles in abiotic stress adaptation

description: Additional file 15.
DOI: 10.6084/m9.figshare.21384250.v2
title: Additional file 15 of Genome-scale analysis of Arabidopsis splicing-related protein kinase families reveals roles in abiotic stress adaptation

description: Additional file 15.
DOI: 10.6084/m9.figshare.21384280
title: Additional file 2 of Genome-scale analysis of Arabidopsis splicing-related protein kinase families reveals roles in abiotic stress adaptation

description: Additional file 2.
DOI: 10.6084/m9.figshare.21384280.v2
title: Additional file 2 of Genome-scale analysis of Arabidopsis splicing-related protein kinase families reveals roles in abiotic stress adaptation

description: Additional file 2.
DOI: 10.6084/m9.figshare.21384283
title: Additional file 3 of Genome-scale analysis of Arabidopsis splicing-related protein kinase families reveals roles in abiotic stress adaptation

description: Additional file 3.
DOI: 10.6084/m9.figshare.21384283.v2
title: Additional file 3 of Genome-scale analysis of Arabidopsis splicing-related protein kinase families reveals roles in abiotic stress adaptation

description: Additional file 3.
DOI: 10.6084/m9.figshare.21384286
title: Additional file 4 of Genome-scale analysis of Arabidopsis splicing-related protein kinase families reveals roles in abiotic stress adaptation

description: Additional file 4.
DOI: 10.6084/m9.figshare.21384286.v2
title: Additional file 4 of Genome-scale analysis of Arabidopsis splicing-related protein kinase families reveals roles in abiotic stress adaptation

description: Additional file 4.
DOI: 10.6084/m9.figshare.21384292
title: Additional file 6 of Genome-scale analysis of Arabidopsis splicing-related protein kinase families reveals roles in abiotic stress adaptation

description: Additional file 6.
DOI: 10.6084/m9.figshare.21384292.v2
title: Additional file 6 of Genome-scale analysis of Arabidopsis splicing-related protein kinase families reveals roles in abiotic stress adaptation

description: Additional file 6.
DOI: 10.6084/m9.figshare.21384295.v2
title: Additional file 7 of Genome-scale analysis of Arabidopsis splicing-related protein kinase families reveals roles in abiotic stress adaptation

description: Additional file 7.
DOI: 10.6084/m9.figshare.21384295
title: Additional file 7 of Genome-scale analysis of Arabidopsis splicing-related protein kinase families reveals roles in abiotic stress adaptation

description: Additional file 7.
DOI: 10.6084/m9.figshare.21384298
title: Additional file 8 of Genome-scale analysis of Arabidopsis splicing-related protein kinase families reveals roles in abiotic stress adaptation

description: Additional file 8.
DOI: 10.6084/m9.figshare.21384298.v2
title: Additional file 8 of Genome-scale analysis of Arabidopsis splicing-related protein kinase families reveals roles in abiotic stress adaptation

description: Additional file 8.
DOI: 10.6084/m9.figshare.21384301
title: Additional file 9 of Genome-scale analysis of Arabidopsis splicing-related protein kinase families reveals roles in abiotic stress adaptation

description: Additional file 9.
DOI: 10.6084/m9.figshare.21384301.v2
title: Additional file 9 of Genome-scale analysis of Arabidopsis splicing-related protein kinase families reveals roles in abiotic stress adaptation

description: Additional file 9.
DOI: 10.15468/dl.jrhmjp
title: Occurrence Download

description: A dataset containing 317 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 },
 "TaxonKey is Cryptosepalum exfoliatum De Wild.",
 "Continent is Africa"
 ]
}

 The dataset includes 317 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011620-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.26984908
title: Additional file 2 of Pan-cancer surveys indicate cell cycle-related roles of primate-specific genes in tumors and embryonic cerebrum

description: Additional file 2: Table S1. Gene age and expression data across 13 tumor types. Table S2. ssGSEA values across tumor and normal samples in 13 cancer types. Table S3. Clinical covariant in the survival analysis. Table S4. Annotation of upregulated PSGs (uPSGs). Table S5. 21 Terms used in DAVID analysis. Table S6. Full-length protein-coding transcripts of DDX11 in 4 species. Table S7. Cerebral RNA-seq transcriptome. Table S8. GO enrichment analysis results. Table S9. Positively selected genes used in this project. Table S10. R packages used in the project.
DOI: 10.6084/m9.figshare.26984908.v1
title: Additional file 2 of Pan-cancer surveys indicate cell cycle-related roles of primate-specific genes in tumors and embryonic cerebrum

description: Additional file 2: Table S1. Gene age and expression data across 13 tumor types. Table S2. ssGSEA values across tumor and normal samples in 13 cancer types. Table S3. Clinical covariant in the survival analysis. Table S4. Annotation of upregulated PSGs (uPSGs). Table S5. 21 Terms used in DAVID analysis. Table S6. Full-length protein-coding transcripts of DDX11 in 4 species. Table S7. Cerebral RNA-seq transcriptome. Table S8. GO enrichment analysis results. Table S9. Positively selected genes used in this project. Table S10. R packages used in the project.
DOI: 10.6084/m9.figshare.26984911
title: Additional file 3 of Pan-cancer surveys indicate cell cycle-related roles of primate-specific genes in tumors and embryonic cerebrum

description: Additional file 3. Results of survival analysis within 13 cancer types.
DOI: 10.6084/m9.figshare.26984911.v1
title: Additional file 3 of Pan-cancer surveys indicate cell cycle-related roles of primate-specific genes in tumors and embryonic cerebrum

description: Additional file 3. Results of survival analysis within 13 cancer types.
DOI: 10.6084/m9.figshare.26984956
title: Additional file 3 of Epidemiology of congenital disorders of glycosylation (CDG)—overview and perspectives

description: Additional file 3: Table 2S. Summary of collected patients reports.
DOI: 10.6084/m9.figshare.26984956.v1
title: Additional file 3 of Epidemiology of congenital disorders of glycosylation (CDG)—overview and perspectives

description: Additional file 3: Table 2S. Summary of collected patients reports.
DOI: 10.6084/m9.figshare.26984965
title: Additional file 2 of Comparison of prokaryotes between Mount Everest and the Mariana Trench

description: Additional file 2. Dataset Table S1.
DOI: 10.6084/m9.figshare.26984965.v1
title: Additional file 2 of Comparison of prokaryotes between Mount Everest and the Mariana Trench

description: Additional file 2. Dataset Table S1.
DOI: 10.6084/m9.figshare.26984968
title: Additional file 3 of Comparison of prokaryotes between Mount Everest and the Mariana Trench

description: Additional file 3. Dataset Table S2.
DOI: 10.6084/m9.figshare.26984968.v1
title: Additional file 3 of Comparison of prokaryotes between Mount Everest and the Mariana Trench

description: Additional file 3. Dataset Table S2.
DOI: 10.6084/m9.figshare.26984980
title: Additional file 1 of The genomic basis of copper tolerance in Drosophila is shaped by a complex interplay of regulatory and environmental factors

description: Additional file 1: Table S1. Data on the fly strains used in this work.
DOI: 10.6084/m9.figshare.26984980.v1
title: Additional file 1 of The genomic basis of copper tolerance in Drosophila is shaped by a complex interplay of regulatory and environmental factors

description: Additional file 1: Table S1. Data on the fly strains used in this work.
DOI: 10.6084/m9.figshare.26984986
title: Additional file 3 of The genomic basis of copper tolerance in Drosophila is shaped by a complex interplay of regulatory and environmental factors

description: Additional file 3: Table S2. Mortality data for all the strains analyzed in this work.
DOI: 10.15468/dl.s6c6zn
title: Occurrence Download

description: A dataset containing 317 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 },
 "TaxonKey is Cryptosepalum exfoliatum De Wild.",
 "Continent is Africa"
 ]
}

 The dataset includes 317 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011621-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.26984986.v1
title: Additional file 3 of The genomic basis of copper tolerance in Drosophila is shaped by a complex interplay of regulatory and environmental factors

description: Additional file 3: Table S2. Mortality data for all the strains analyzed in this work.
DOI: 10.6084/m9.figshare.26984989
title: Additional file 4 of The genomic basis of copper tolerance in Drosophila is shaped by a complex interplay of regulatory and environmental factors

description: Additional file 4: Table S3. Atmospheric metal pollution data, copper soil concentration and degree of urbanization classification.
DOI: 10.6084/m9.figshare.26984989.v1
title: Additional file 4 of The genomic basis of copper tolerance in Drosophila is shaped by a complex interplay of regulatory and environmental factors

description: Additional file 4: Table S3. Atmospheric metal pollution data, copper soil concentration and degree of urbanization classification.
DOI: 10.6084/m9.figshare.26984992.v1
title: Additional file 5 of The genomic basis of copper tolerance in Drosophila is shaped by a complex interplay of regulatory and environmental factors

description: Additional file 5: Table S4. Differential gene expression (DGE) analysis performed with DESeq2.
DOI: 10.6084/m9.figshare.26984992
title: Additional file 5 of The genomic basis of copper tolerance in Drosophila is shaped by a complex interplay of regulatory and environmental factors

description: Additional file 5: Table S4. Differential gene expression (DGE) analysis performed with DESeq2.
DOI: 10.6084/m9.figshare.26984998
title: Additional file 7 of The genomic basis of copper tolerance in Drosophila is shaped by a complex interplay of regulatory and environmental factors

description: Additional file 7: Table S5. GO enrichment analysis. Table S6. Gene Set Enrichmnet analysis. Table S7. KEGG analysis. Table S8. Modulated Modularity Cluster analysis.
DOI: 10.6084/m9.figshare.26985007
title: Additional file 10 of The genomic basis of copper tolerance in Drosophila is shaped by a complex interplay of regulatory and environmental factors

description: Additional file 10: Table S9. Mortality data for all mutant and RNAi lines analyzed in this work.
DOI: 10.6084/m9.figshare.26985007.v1
title: Additional file 10 of The genomic basis of copper tolerance in Drosophila is shaped by a complex interplay of regulatory and environmental factors

description: Additional file 10: Table S9. Mortality data for all mutant and RNAi lines analyzed in this work.
DOI: 10.6084/m9.figshare.26985010
title: Additional file 11 of The genomic basis of copper tolerance in Drosophila is shaped by a complex interplay of regulatory and environmental factors

description: Additional file 11: Table S10. Raw data for all pH and feeding analysis presented in this work.
DOI: 10.6084/m9.figshare.26985010.v1
title: Additional file 11 of The genomic basis of copper tolerance in Drosophila is shaped by a complex interplay of regulatory and environmental factors

description: Additional file 11: Table S10. Raw data for all pH and feeding analysis presented in this work.
DOI: 10.6084/m9.figshare.26985013
title: Additional file 12 of The genomic basis of copper tolerance in Drosophila is shaped by a complex interplay of regulatory and environmental factors

description: Additional file 12: Table S11. Transposable element analysis.
DOI: 10.6084/m9.figshare.26984998.v1
title: Additional file 7 of The genomic basis of copper tolerance in Drosophila is shaped by a complex interplay of regulatory and environmental factors

description: Additional file 7: Table S5. GO enrichment analysis. Table S6. Gene Set Enrichmnet analysis. Table S7. KEGG analysis. Table S8. Modulated Modularity Cluster analysis.
DOI: 10.6084/m9.figshare.26985013.v1
title: Additional file 12 of The genomic basis of copper tolerance in Drosophila is shaped by a complex interplay of regulatory and environmental factors

description: Additional file 12: Table S11. Transposable element analysis.
DOI: 10.6084/m9.figshare.26985019
title: Additional file 1 of Reproducible and opposing gut microbiome signatures distinguish autoimmune diseases and cancers: a systematic review and meta-analysis

description: Additional file 1: Supplementary File 1. Characteristics of included studies.
DOI: 10.6084/m9.figshare.26985019.v1
title: Additional file 1 of Reproducible and opposing gut microbiome signatures distinguish autoimmune diseases and cancers: a systematic review and meta-analysis

description: Additional file 1: Supplementary File 1. Characteristics of included studies.
DOI: 10.6084/m9.figshare.26985022
title: Additional file 2 of Reproducible and opposing gut microbiome signatures distinguish autoimmune diseases and cancers: a systematic review and meta-analysis

description: Additional file 2. Supplementary File 2. List of predicted metabolic pathways that were retrived through MACADAM.
DOI: 10.6084/m9.figshare.26985022.v1
title: Additional file 2 of Reproducible and opposing gut microbiome signatures distinguish autoimmune diseases and cancers: a systematic review and meta-analysis

description: Additional file 2. Supplementary File 2. List of predicted metabolic pathways that were retrived through MACADAM.
DOI: 10.6084/m9.figshare.26985025
title: Additional file 3 of Reproducible and opposing gut microbiome signatures distinguish autoimmune diseases and cancers: a systematic review and meta-analysis

description: Additional file 3: Supplementary Table 1. Electronic database search strategy to identify published reports on cancer- and autoimmune-microbiome studies. Supplementary Table 2. PRISMA 2009 Checklist. Supplementary Table 3. Articles included in this study (n=82). Supplementary Table 4. Articles excluded from this study (n=148). Supplementary Table 5. List of ambiguous or inconsistent genera. Supplementary Table 6. . List of ambiguous or inconsistently associated pathways.
DOI: 10.6084/m9.figshare.26985025.v1
title: Additional file 3 of Reproducible and opposing gut microbiome signatures distinguish autoimmune diseases and cancers: a systematic review and meta-analysis

description: Additional file 3: Supplementary Table 1. Electronic database search strategy to identify published reports on cancer- and autoimmune-microbiome studies. Supplementary Table 2. PRISMA 2009 Checklist. Supplementary Table 3. Articles included in this study (n=82). Supplementary Table 4. Articles excluded from this study (n=148). Supplementary Table 5. List of ambiguous or inconsistent genera. Supplementary Table 6. . List of ambiguous or inconsistently associated pathways.
DOI: 10.6084/m9.figshare.26985031
title: Additional file 2 of The draft genome of Andean Rhodopseudomonas sp. strain AZUL predicts genome plasticity and adaptation to chemical homeostasis

description: Additional file 2: (Table S1):Table S1-1. Results of genome quality analysis of the 39 Rhodopseudomonas strains used in this work, obtained using the Genome Annotation service at PATRIC. Table S1-2. Full clustering analysis of the 31 strains of Rhodopseudomonas with Roary, using 70% identity cut-off and the ‘do not split paralogs’ option. Table S1-3. Gene annotation of the Rhodopseudomonas genome according to Prokka and Roary (split paralogs option). Table S1-4. Gene count of selected subsystems from the PATRIC comparative pathway output in the 31 Rhodopseudomonas strains.
DOI: 10.6084/m9.figshare.26985031.v1
title: Additional file 2 of The draft genome of Andean Rhodopseudomonas sp. strain AZUL predicts genome plasticity and adaptation to chemical homeostasis

description: Additional file 2: (Table S1):Table S1-1. Results of genome quality analysis of the 39 Rhodopseudomonas strains used in this work, obtained using the Genome Annotation service at PATRIC. Table S1-2. Full clustering analysis of the 31 strains of Rhodopseudomonas with Roary, using 70% identity cut-off and the ‘do not split paralogs’ option. Table S1-3. Gene annotation of the Rhodopseudomonas genome according to Prokka and Roary (split paralogs option). Table S1-4. Gene count of selected subsystems from the PATRIC comparative pathway output in the 31 Rhodopseudomonas strains.
DOI: 10.6084/m9.figshare.26985037
title: Additional file 1 of Technology-assisted assessment of spasticity: a systematic review

description: Additional  file 1: Table S1. Assessment methods extraction table.
DOI: 10.6084/m9.figshare.26985037.v1
title: Additional file 1 of Technology-assisted assessment of spasticity: a systematic review

description: Additional  file 1: Table S1. Assessment methods extraction table.
DOI: 10.6084/m9.figshare.26985040
title: Additional file 2 of Technology-assisted assessment of spasticity: a systematic review

description: Additional file 2: Table S2. Psychometric properties extraction table.
DOI: 10.6084/m9.figshare.26985040.v1
title: Additional file 2 of Technology-assisted assessment of spasticity: a systematic review

description: Additional file 2: Table S2. Psychometric properties extraction table.