cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.13550676.v1
title: Additional file 2 of Computational Barthel Index: an automated tool for assessing and predicting activities of daily living among nursing home patients

description: Additional file 2. Detailed performance of the models. Detailed testing results of 72 CBIT models, reported in terms of AUC, accuracy, precision, recall and F1-score.
DOI: 10.6084/m9.figshare.13550712.v1
title: Additional file 2 of Increased investment in gametocytes in asymptomatic Plasmodium falciparum infections in the wet season

description: Additional file 2. Database.
DOI: 10.6084/m9.figshare.13550743.v1
title: Additional file 3 of Equine synovial fluid small non-coding RNA signatures in early osteoarthritis

description: Additional file 3. mRNA targets predicted by IPA (.xlsx). List of mRNA targets predicted by bioinformatic analysis with IPA software, using a conservative filter of only experimentally validated and highly conserved predicted mRNA targets for each miRNA. Targets were then also filtered on the cells chondrocyte, osteoblasts and fibroblasts.
DOI: 10.6084/m9.figshare.13550740.v1
title: Additional file 2 of Equine synovial fluid small non-coding RNA signatures in early osteoarthritis

description: Additional file 2.Summary of raw, trimmed reads and mapped reads (.xlsx). Summary of raw, trimmed reads and mapped reads to Equus caballus database, from analysis of small RNA sequencing data.
DOI: 10.6084/m9.figshare.13550749.v1
title: Additional file 5 of Equine synovial fluid small non-coding RNA signatures in early osteoarthritis

description: Additional file 5. Primer sequences/assays used for detection of small non-coding RNAs through qRT-PCR analysis (.xlsx). For miRNAs and snoRNAs with sequences homologous to human, Qiagen primer assays were used. Remaining miRNA primers were customised using Eurogentec primer design.
DOI: 10.6084/m9.figshare.13550746.v1
title: Additional file 4 of Equine synovial fluid small non-coding RNA signatures in early osteoarthritis

description: Additional file 4. PANTHER GO terms FDR-adjusted P
DOI: 10.6084/m9.figshare.13550775.v1
title: Additional file 12 of Global expression of noncoding RNome reveals dysregulation of small RNAs in patients with HTLV-1–associated adult T-cell leukemia: a pilot study

description: Additional file 12: Table S12. Putative target genes of differential miRNAs.
DOI: 10.6084/m9.figshare.13550784
title: Additional file 1 of Global expression of noncoding RNome reveals dysregulation of small RNAs in patients with HTLV-1–associated adult T-cell leukemia: a pilot study

description: Additional file 1: Table S1. List of known sRNAs differentially expressed in ATLL patients vs asympotomatic HTLV-1 infected subjects with polyclonal T cell expansion (ASP) and healthy control (HC)subjects.
DOI: 10.6084/m9.figshare.13550787.v1
title: Additional file 2 of Global expression of noncoding RNome reveals dysregulation of small RNAs in patients with HTLV-1–associated adult T-cell leukemia: a pilot study

description: Additional file 2: Table S2. A full list of the 74 novel small RNAs identified in this study.
DOI: 10.6084/m9.figshare.13550793.v1
title: Additional file 4 of Global expression of noncoding RNome reveals dysregulation of small RNAs in patients with HTLV-1–associated adult T-cell leukemia: a pilot study

description: Additional file 4: Table S4. List of the 114 known sRNAs differentially expressed between the ATLL and HC group.
DOI: 10.6084/m9.figshare.13550784.v1
title: Additional file 1 of Global expression of noncoding RNome reveals dysregulation of small RNAs in patients with HTLV-1–associated adult T-cell leukemia: a pilot study

description: Additional file 1: Table S1. List of known sRNAs differentially expressed in ATLL patients vs asympotomatic HTLV-1 infected subjects with polyclonal T cell expansion (ASP) and healthy control (HC)subjects.
DOI: 10.6084/m9.figshare.13550799.v1
title: Additional file 6 of Global expression of noncoding RNome reveals dysregulation of small RNAs in patients with HTLV-1–associated adult T-cell leukemia: a pilot study

description: Additional file 6: Table S6. List of the 149 known smallRNAs differentially expressed between ATLL patients and ASP subjects.
DOI: 10.6084/m9.figshare.13550796
title: Additional file 5 of Global expression of noncoding RNome reveals dysregulation of small RNAs in patients with HTLV-1–associated adult T-cell leukemia: a pilot study

description: Additional file 5: Table S5. List of the 216 known smallRNAs differentially expressed between ASP and HC group.
DOI: 10.6084/m9.figshare.13550796.v1
title: Additional file 5 of Global expression of noncoding RNome reveals dysregulation of small RNAs in patients with HTLV-1–associated adult T-cell leukemia: a pilot study

description: Additional file 5: Table S5. List of the 216 known smallRNAs differentially expressed between ASP and HC group.
DOI: 10.6084/m9.figshare.13550802
title: Additional file 7 of Global expression of noncoding RNome reveals dysregulation of small RNAs in patients with HTLV-1–associated adult T-cell leukemia: a pilot study

description: Additional file 7: Table S7. List of the 26 novel sRNAs differentially expressed between ATLL and HC group.
DOI: 10.6084/m9.figshare.13550805
title: Additional file 8 of Global expression of noncoding RNome reveals dysregulation of small RNAs in patients with HTLV-1–associated adult T-cell leukemia: a pilot study

description: Additional file 8: Table S8. List of the 27 novel sRNAs differentially expressed between ATLL patients and ASP subjects.
DOI: 10.6084/m9.figshare.13550790.v1
title: Additional file 3 of Global expression of noncoding RNome reveals dysregulation of small RNAs in patients with HTLV-1–associated adult T-cell leukemia: a pilot study

description: Additional file 3: Table S3. List of the 226 known sRNAs differentially expressed among ATLL, ASP, and healthy controls.
DOI: 10.6084/m9.figshare.13550808
title: Additional file 9 of Global expression of noncoding RNome reveals dysregulation of small RNAs in patients with HTLV-1–associated adult T-cell leukemia: a pilot study

description: Additional file 9: Table S9. List of the 49 mature miRNAs differentially expressed in ASP and HC subjects compared to ATLLpatients.
DOI: 10.6084/m9.figshare.13550772.v1
title: Additional file 11 of Global expression of noncoding RNome reveals dysregulation of small RNAs in patients with HTLV-1–associated adult T-cell leukemia: a pilot study

description: Additional file 11: Table S11. List of the 48 mature miRNAs differentially expressed between the ATLL patients and HC group.
DOI: 10.6084/m9.figshare.13550787
title: Additional file 2 of Global expression of noncoding RNome reveals dysregulation of small RNAs in patients with HTLV-1–associated adult T-cell leukemia: a pilot study

description: Additional file 2: Table S2. A full list of the 74 novel small RNAs identified in this study.
DOI: 10.6084/m9.figshare.13550793
title: Additional file 4 of Global expression of noncoding RNome reveals dysregulation of small RNAs in patients with HTLV-1–associated adult T-cell leukemia: a pilot study

description: Additional file 4: Table S4. List of the 114 known sRNAs differentially expressed between the ATLL and HC group.
DOI: 10.6084/m9.figshare.13550799
title: Additional file 6 of Global expression of noncoding RNome reveals dysregulation of small RNAs in patients with HTLV-1–associated adult T-cell leukemia: a pilot study

description: Additional file 6: Table S6. List of the 149 known smallRNAs differentially expressed between ATLL patients and ASP subjects.
DOI: 10.6084/m9.figshare.13550802.v1
title: Additional file 7 of Global expression of noncoding RNome reveals dysregulation of small RNAs in patients with HTLV-1–associated adult T-cell leukemia: a pilot study

description: Additional file 7: Table S7. List of the 26 novel sRNAs differentially expressed between ATLL and HC group.
DOI: 10.6084/m9.figshare.13550805.v1
title: Additional file 8 of Global expression of noncoding RNome reveals dysregulation of small RNAs in patients with HTLV-1–associated adult T-cell leukemia: a pilot study

description: Additional file 8: Table S8. List of the 27 novel sRNAs differentially expressed between ATLL patients and ASP subjects.
DOI: 10.6084/m9.figshare.13550769.v1
title: Additional file 10 of Global expression of noncoding RNome reveals dysregulation of small RNAs in patients with HTLV-1–associated adult T-cell leukemia: a pilot study

description: Additional file 10: Table S10. List of the nine mature miRNAs differentially expressed between the ATLL patients and HC group.
DOI: 10.6084/m9.figshare.13550808.v1
title: Additional file 9 of Global expression of noncoding RNome reveals dysregulation of small RNAs in patients with HTLV-1–associated adult T-cell leukemia: a pilot study

description: Additional file 9: Table S9. List of the 49 mature miRNAs differentially expressed in ASP and HC subjects compared to ATLLpatients.
DOI: 10.6084/m9.figshare.13550790
title: Additional file 3 of Global expression of noncoding RNome reveals dysregulation of small RNAs in patients with HTLV-1–associated adult T-cell leukemia: a pilot study

description: Additional file 3: Table S3. List of the 226 known sRNAs differentially expressed among ATLL, ASP, and healthy controls.
DOI: 10.6084/m9.figshare.13550817.v1
title: Additional file 2 of Gap analysis of DNA barcoding in ERMS reference libraries for ascidians and cnidarians

description: Additional file 2: Table S3. List of the two taxon inventories: Ascidiacea and Cnidaria (Anthozoa and Hydrozoa) downloaded from the ERMS library.
DOI: 10.6084/m9.figshare.13550817
title: Additional file 2 of Gap analysis of DNA barcoding in ERMS reference libraries for ascidians and cnidarians

description: Additional file 2: Table S3. List of the two taxon inventories: Ascidiacea and Cnidaria (Anthozoa and Hydrozoa) downloaded from the ERMS library.
DOI: 10.6084/m9.figshare.13550775
title: Additional file 12 of Global expression of noncoding RNome reveals dysregulation of small RNAs in patients with HTLV-1–associated adult T-cell leukemia: a pilot study

description: Additional file 12: Table S12. Putative target genes of differential miRNAs.
DOI: 10.6084/m9.figshare.13550832.v1
title: Additional file 1 of Test Re-test Reliability of Single and Multijoint Strength Properties in Female Australian Footballers

description: Additional file 1:. Supplementary Data. De-identified data for test re-test of all participants.
DOI: 10.6084/m9.figshare.13550832
title: Additional file 1 of Test Re-test Reliability of Single and Multijoint Strength Properties in Female Australian Footballers

description: Additional file 1:. Supplementary Data. De-identified data for test re-test of all participants.
DOI: 10.6084/m9.figshare.13550772
title: Additional file 11 of Global expression of noncoding RNome reveals dysregulation of small RNAs in patients with HTLV-1–associated adult T-cell leukemia: a pilot study

description: Additional file 11: Table S11. List of the 48 mature miRNAs differentially expressed between the ATLL patients and HC group.
DOI: 10.6084/m9.figshare.13550853
title: Additional file 1 of LncRNA LINC00240 suppresses invasion and migration in non-small cell lung cancer by sponging miR-7-5p

description: Additional file 1: Table S1. Total microarray data in miR-7-5p overexpression in H1299.
DOI: 10.6084/m9.figshare.13550851.v1
title: Additional file 2 of A new UHPLC-MS/MS method for the screening of urinary oligosaccharides expands the detection of storage disorders

description: Additional file 2: Table S2a. Results of urinary oligosaccharides analysis expressed as multiple of the median (MoM); Table S2b. Results of oligosaccharides analysis in DUS expressed as multiple of the median (MoM).
DOI: 10.6084/m9.figshare.13550853.v1
title: Additional file 1 of LncRNA LINC00240 suppresses invasion and migration in non-small cell lung cancer by sponging miR-7-5p

description: Additional file 1: Table S1. Total microarray data in miR-7-5p overexpression in H1299.
DOI: 10.6084/m9.figshare.13550851
title: Additional file 2 of A new UHPLC-MS/MS method for the screening of urinary oligosaccharides expands the detection of storage disorders

description: Additional file 2: Table S2a. Results of urinary oligosaccharides analysis expressed as multiple of the median (MoM); Table S2b. Results of oligosaccharides analysis in DUS expressed as multiple of the median (MoM).
DOI: 10.6084/m9.figshare.13550769
title: Additional file 10 of Global expression of noncoding RNome reveals dysregulation of small RNAs in patients with HTLV-1–associated adult T-cell leukemia: a pilot study

description: Additional file 10: Table S10. List of the nine mature miRNAs differentially expressed between the ATLL patients and HC group.
DOI: 10.6084/m9.figshare.13550866
title: Additional file 2 of Deconstructing transcriptional variations and their effects on immunomodulatory function among human mesenchymal stromal cells

description: Additional file 2: Table S1. Table S1 Information of MSCs RNA-seq samples downloaded from public GEO. Table S2. DM values for each gene expressed in MSC samples. Table S3. Information of samples clustered into different groups. Table S4 Results of different expression analysis among G0, G2, G3, and G4 groups. Table S5 Results of different expression analysis for INFγ treated vs untreat MSC paried samples. Table S6. List of genes differently respond to IFNγ treatment among ssG0, ssG2, and ssG4. Table S7. Overlap of genes between DRGs and CRGs.
DOI: 10.6084/m9.figshare.13550866.v1
title: Additional file 2 of Deconstructing transcriptional variations and their effects on immunomodulatory function among human mesenchymal stromal cells

description: Additional file 2: Table S1. Table S1 Information of MSCs RNA-seq samples downloaded from public GEO. Table S2. DM values for each gene expressed in MSC samples. Table S3. Information of samples clustered into different groups. Table S4 Results of different expression analysis among G0, G2, G3, and G4 groups. Table S5 Results of different expression analysis for INFγ treated vs untreat MSC paried samples. Table S6. List of genes differently respond to IFNγ treatment among ssG0, ssG2, and ssG4. Table S7. Overlap of genes between DRGs and CRGs.
DOI: 10.6084/m9.figshare.13550923.v1
title: Additional file 2 of Trend and treatment outcomes of latent tuberculosis infection among migrant persons in Japan: retrospective analysis of Japan tuberculosis surveillance data

description: Additional file 2. Annual trend of LTBI notification by country of birth and age groups, 2007–2018. Excel file (.xls) showing the number of LTBI notifications by country of birth and age groups.
DOI: 10.6084/m9.figshare.13550923
title: Additional file 2 of Trend and treatment outcomes of latent tuberculosis infection among migrant persons in Japan: retrospective analysis of Japan tuberculosis surveillance data

description: Additional file 2. Annual trend of LTBI notification by country of birth and age groups, 2007–2018. Excel file (.xls) showing the number of LTBI notifications by country of birth and age groups.
DOI: 10.6084/m9.figshare.13550749
title: Additional file 5 of Equine synovial fluid small non-coding RNA signatures in early osteoarthritis

description: Additional file 5. Primer sequences/assays used for detection of small non-coding RNAs through qRT-PCR analysis (.xlsx). For miRNAs and snoRNAs with sequences homologous to human, Qiagen primer assays were used. Remaining miRNA primers were customised using Eurogentec primer design.
DOI: 10.6084/m9.figshare.13550746
title: Additional file 4 of Equine synovial fluid small non-coding RNA signatures in early osteoarthritis

description: Additional file 4. PANTHER GO terms FDR-adjusted P
DOI: 10.6084/m9.figshare.13550937
title: Additional file 3 of Re-purposing software for functional characterization of the microbiome

description: Additional file 2. nodes.dmp.
DOI: 10.6084/m9.figshare.13550940
title: Additional file 4 of Re-purposing software for functional characterization of the microbiome

description: Additional file 3. names.dmp.
DOI: 10.6084/m9.figshare.13550937.v1
title: Additional file 3 of Re-purposing software for functional characterization of the microbiome

description: Additional file 2. nodes.dmp.
DOI: 10.6084/m9.figshare.13550943
title: Additional file 5 of Re-purposing software for functional characterization of the microbiome

description: Additional file 4. GO reference functional hierarchy tree structure.
DOI: 10.6084/m9.figshare.13550943.v1
title: Additional file 5 of Re-purposing software for functional characterization of the microbiome

description: Additional file 4. GO reference functional hierarchy tree structure.
DOI: 10.6084/m9.figshare.13550743
title: Additional file 3 of Equine synovial fluid small non-coding RNA signatures in early osteoarthritis

description: Additional file 3. mRNA targets predicted by IPA (.xlsx). List of mRNA targets predicted by bioinformatic analysis with IPA software, using a conservative filter of only experimentally validated and highly conserved predicted mRNA targets for each miRNA. Targets were then also filtered on the cells chondrocyte, osteoblasts and fibroblasts.
DOI: 10.6084/m9.figshare.13550940.v1
title: Additional file 4 of Re-purposing software for functional characterization of the microbiome

description: Additional file 3. names.dmp.
DOI: 10.6084/m9.figshare.13550949.v1
title: Additional file 7 of Re-purposing software for functional characterization of the microbiome

description: Additional file 6. Building a reference database using the GO taxonomy (Kaiju).
DOI: 10.6084/m9.figshare.13550740
title: Additional file 2 of Equine synovial fluid small non-coding RNA signatures in early osteoarthritis

description: Additional file 2.Summary of raw, trimmed reads and mapped reads (.xlsx). Summary of raw, trimmed reads and mapped reads to Equus caballus database, from analysis of small RNA sequencing data.
DOI: 10.6084/m9.figshare.13550926
title: Additional file 3 of Trend and treatment outcomes of latent tuberculosis infection among migrant persons in Japan: retrospective analysis of Japan tuberculosis surveillance data

description: Additional file 3. Trend of LTBI notification by mode of detection, 2007–2018. Excel file (.xls) showing the number of LTBI notifications by mode of detection, 2007–2018.
DOI: 10.6084/m9.figshare.13550926.v1
title: Additional file 3 of Trend and treatment outcomes of latent tuberculosis infection among migrant persons in Japan: retrospective analysis of Japan tuberculosis surveillance data

description: Additional file 3. Trend of LTBI notification by mode of detection, 2007–2018. Excel file (.xls) showing the number of LTBI notifications by mode of detection, 2007–2018.
DOI: 10.6084/m9.figshare.13550964
title: Additional file 2 of Regulation of behavioral response to stress by microRNA-690

description: Additional file 2: Table S1. Normalized count values of differentially expressed microRNAs (miRNAs) in Fkbp5 knock-out (KO) mice
DOI: 10.6084/m9.figshare.13550964.v1
title: Additional file 2 of Regulation of behavioral response to stress by microRNA-690

description: Additional file 2: Table S1. Normalized count values of differentially expressed microRNAs (miRNAs) in Fkbp5 knock-out (KO) mice
DOI: 10.6084/m9.figshare.13550952
title: Additional file 8 of Re-purposing software for functional characterization of the microbiome

description: Additional file 7. Building a reference database using the GO taxonomy (Kraken2).
DOI: 10.6084/m9.figshare.13550949
title: Additional file 7 of Re-purposing software for functional characterization of the microbiome

description: Additional file 6. Building a reference database using the GO taxonomy (Kaiju).
DOI: 10.6084/m9.figshare.13550955
title: Additional file 9 of Re-purposing software for functional characterization of the microbiome

description: Additional file 8. Sample GO sequence database.
DOI: 10.6084/m9.figshare.13550952.v1
title: Additional file 8 of Re-purposing software for functional characterization of the microbiome

description: Additional file 7. Building a reference database using the GO taxonomy (Kraken2).
DOI: 10.6084/m9.figshare.13550955.v1
title: Additional file 9 of Re-purposing software for functional characterization of the microbiome

description: Additional file 8. Sample GO sequence database.
DOI: 10.6084/m9.figshare.13550976
title: Additional file 1 of Genome-Wide Association Study (GWAS) to Identify Salt-Tolerance QTLs Carrying Novel Candidate Genes in Rice During Early Vegetative Stage

description: Additional file 1: Table S1. Rice varieties used in this study. Table S2. Analysis of variance for the studied traits in germplasm set of rice under normal and salinity stress conditions. Table S3. Pearson correlation coefficients between different traits under normal condition. Table S4. Pearson correlation coefficients between different traits under salinity condition. Table S5. Co-ancestory coefficients (Q) in 4 sub-populations for germplasm set used in the study. Table S6. Results of association mapping using MLM-Q-K model for detection of SNPs with significant association to the studied traits under normal condition. Table S7. Results of association mapping using MLM-Q-K model for detection of SNPs with significant association to the studied traits under salinity condition. Table S8. Approximate expression levels of candidate genes (in view of transcript per million, TPM) inferred from EST sources in Unigene database. Table S9. Haplotype analysis of candidate genes on rice chromosomes. Table S10. Co-expression analysis of candidate genes using riceFREND database. Table S11. Comparison of the locations of the detected genomic regions in this study (QTLs) and the known reported QTLs.
DOI: 10.6084/m9.figshare.13550976.v1
title: Additional file 1 of Genome-Wide Association Study (GWAS) to Identify Salt-Tolerance QTLs Carrying Novel Candidate Genes in Rice During Early Vegetative Stage

description: Additional file 1: Table S1. Rice varieties used in this study. Table S2. Analysis of variance for the studied traits in germplasm set of rice under normal and salinity stress conditions. Table S3. Pearson correlation coefficients between different traits under normal condition. Table S4. Pearson correlation coefficients between different traits under salinity condition. Table S5. Co-ancestory coefficients (Q) in 4 sub-populations for germplasm set used in the study. Table S6. Results of association mapping using MLM-Q-K model for detection of SNPs with significant association to the studied traits under normal condition. Table S7. Results of association mapping using MLM-Q-K model for detection of SNPs with significant association to the studied traits under salinity condition. Table S8. Approximate expression levels of candidate genes (in view of transcript per million, TPM) inferred from EST sources in Unigene database. Table S9. Haplotype analysis of candidate genes on rice chromosomes. Table S10. Co-expression analysis of candidate genes using riceFREND database. Table S11. Comparison of the locations of the detected genomic regions in this study (QTLs) and the known reported QTLs.
DOI: 10.6084/m9.figshare.13550712
title: Additional file 2 of Increased investment in gametocytes in asymptomatic Plasmodium falciparum infections in the wet season

description: Additional file 2. Database.
DOI: 10.6084/m9.figshare.13550658
title: Additional file 1 of Metabolic phenotyping reveals a reduction in the bioavailability of serotonin and kynurenine pathway metabolites in both the urine and serum of individuals living with Alzheimer’s disease

description: Additional file 1. All data de-identified (CSV 186 kb)
DOI: 10.6084/m9.figshare.13550658.v1
title: Additional file 1 of Metabolic phenotyping reveals a reduction in the bioavailability of serotonin and kynurenine pathway metabolites in both the urine and serum of individuals living with Alzheimer’s disease

description: Additional file 1. All data de-identified (CSV 186 kb)