cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12629247
title: Additional file 5 of Unveiling the genetic basis of Sclerotinia head rot resistance in sunflower

description: Additional file 5: Table S5. Phenotypic and genetic distance matrices for the 135 Inbred lines (ILs).
DOI: 10.6084/m9.figshare.12629247.v1
title: Additional file 5 of Unveiling the genetic basis of Sclerotinia head rot resistance in sunflower

description: Additional file 5: Table S5. Phenotypic and genetic distance matrices for the 135 Inbred lines (ILs).
DOI: 10.6084/m9.figshare.12629239
title: Additional file 10 of Transcriptomic and biochemical investigations support the role of rootstock-scion interaction in grapevine berry quality

description: Additional file 10. List of differentially expressed miRNAs (as calculated by small RNAseq analysis) and their relative differentially expressed targets (as calculated by RNAseq data analysis). For each miRNA/target pair is reported the comparison considered, target id putative function and GO terms, miRNA name and sequence, and log2 fold change of the target and the miRNA. Only statistically significant DEG and DE miRNAs are reported.
DOI: 10.6084/m9.figshare.12629238
title: Additional file 2 of Unveiling the genetic basis of Sclerotinia head rot resistance in sunflower

description: Additional file 2: Table S2. SSR markers that co-localised with QTLs for Sclerotinia Head Rot resistance (Zubrzycki et al. 2017).
DOI: 10.6084/m9.figshare.12629238.v1
title: Additional file 2 of Unveiling the genetic basis of Sclerotinia head rot resistance in sunflower

description: Additional file 2: Table S2. SSR markers that co-localised with QTLs for Sclerotinia Head Rot resistance (Zubrzycki et al. 2017).
DOI: 10.6084/m9.figshare.12629241.v1
title: Additional file 3 of Unveiling the genetic basis of Sclerotinia head rot resistance in sunflower

description: Additional file 3: Table S3. Genotypic data used for association mapping.
DOI: 10.6084/m9.figshare.12629235
title: Additional file 1 of Unveiling the genetic basis of Sclerotinia head rot resistance in sunflower

description: Additional file 1: Table S1. Diversity estimates of candidate genes (CGs) for Sclerotinia Head Rot resistance.
DOI: 10.6084/m9.figshare.12629239.v1
title: Additional file 10 of Transcriptomic and biochemical investigations support the role of rootstock-scion interaction in grapevine berry quality

description: Additional file 10. List of differentially expressed miRNAs (as calculated by small RNAseq analysis) and their relative differentially expressed targets (as calculated by RNAseq data analysis). For each miRNA/target pair is reported the comparison considered, target id putative function and GO terms, miRNA name and sequence, and log2 fold change of the target and the miRNA. Only statistically significant DEG and DE miRNAs are reported.
DOI: 10.6084/m9.figshare.12629235.v1
title: Additional file 1 of Unveiling the genetic basis of Sclerotinia head rot resistance in sunflower

description: Additional file 1: Table S1. Diversity estimates of candidate genes (CGs) for Sclerotinia Head Rot resistance.
DOI: 10.6084/m9.figshare.12629226
title: Additional file 10 of Unveiling the genetic basis of Sclerotinia head rot resistance in sunflower

description: Additional file 10: Table S10. Spearman correlations among Sclerotinia Head Rot (SHR)-phenotypic variables and the number of favourable alleles in each inbred line.
DOI: 10.6084/m9.figshare.12629226.v1
title: Additional file 10 of Unveiling the genetic basis of Sclerotinia head rot resistance in sunflower

description: Additional file 10: Table S10. Spearman correlations among Sclerotinia Head Rot (SHR)-phenotypic variables and the number of favourable alleles in each inbred line.
DOI: 10.6084/m9.figshare.12629209
title: Additional file 7 of Superior breast cancer metastasis risk stratification using an epithelial-mesenchymal-amoeboid transition gene signature

description: Additional file 7: Table S6. Univariable and multivariable Cox regression analysis for validation dataset samples from GSE11121 and NKI295. The table content is provided as a separate xlsx file.
DOI: 10.6084/m9.figshare.12629212
title: Additional file 8 of Superior breast cancer metastasis risk stratification using an epithelial-mesenchymal-amoeboid transition gene signature

description: Additional file 8: Table S7 Differential expression analysis of TFs for each EMAT cluster. The table content is provided as a separate xlsx file. The p-values were obtained using a two-sided t-test and were corrected for multiple hypothesis testing.
DOI: 10.6084/m9.figshare.12629203
title: Additional file 5 of Superior breast cancer metastasis risk stratification using an epithelial-mesenchymal-amoeboid transition gene signature

description: Additional file 5: Table S4. The association of EMAT genes with survival outcome. The p-values are obtained using a univariable Cox regression analysis.
DOI: 10.6084/m9.figshare.12629206
title: Additional file 6 of Superior breast cancer metastasis risk stratification using an epithelial-mesenchymal-amoeboid transition gene signature

description: Additional file 6: Table S5. A summary of the characteristics of the EMAT clusters obtained using lymph node-negative breast cancer patients from the METABRIC study. In this table, P stands for positive and N for negative. EMAT1 has the least similarity to hESC and is enriched in normal-like PAM50 subtype of breast cancer and has a good prognosis. EMAT2, the cluster with a relatively good prognosis, has little similarity to hESC, is enriched in Luminal A subtype and in ER-positive and PR-positive samples. EMAT3, the cluster with a relatively moderate prognosis, has a high degree of similarity to hESC, is enriched in Luminal B subtype and in ER-positive, PR-positive and HER2-negative samples. EMAT4, the cluster with the worst prognosis, shows the highest degree of similarity to hESC, is enriched in the basal-like subtype of breast cancer as well as ER-negative, PR-negative and HER2-negative samples.
DOI: 10.6084/m9.figshare.12629212.v1
title: Additional file 8 of Superior breast cancer metastasis risk stratification using an epithelial-mesenchymal-amoeboid transition gene signature

description: Additional file 8: Table S7 Differential expression analysis of TFs for each EMAT cluster. The table content is provided as a separate xlsx file. The p-values were obtained using a two-sided t-test and were corrected for multiple hypothesis testing.
DOI: 10.6084/m9.figshare.12629197
title: Additional file 3 of Superior breast cancer metastasis risk stratification using an epithelial-mesenchymal-amoeboid transition gene signature

description: Additional file 3: Table S2. EMAT cluster labels of samples in the METABRIC, GSE11121 and NKI295 datasets. The table content is provided as a separate xlsx file. The labels are obtained using hierarchical clustering with 4 clusters, as described in the manuscript.
DOI: 10.6084/m9.figshare.12629200
title: Additional file 4 of Superior breast cancer metastasis risk stratification using an epithelial-mesenchymal-amoeboid transition gene signature

description: Additional file 4: Table S3. Percent of EMT and MAT genes present among differentially expressed genes (DEGs) for each cluster. The table content is provided as a separate xlsx file. DEGS for each EMAT cluster were defined as differentially expressed in that cluster compared to other clusters (Bonferroni adjusted p
DOI: 10.6084/m9.figshare.12629203.v1
title: Additional file 5 of Superior breast cancer metastasis risk stratification using an epithelial-mesenchymal-amoeboid transition gene signature

description: Additional file 5: Table S4. The association of EMAT genes with survival outcome. The p-values are obtained using a univariable Cox regression analysis.
DOI: 10.6084/m9.figshare.12629209.v1
title: Additional file 7 of Superior breast cancer metastasis risk stratification using an epithelial-mesenchymal-amoeboid transition gene signature

description: Additional file 7: Table S6. Univariable and multivariable Cox regression analysis for validation dataset samples from GSE11121 and NKI295. The table content is provided as a separate xlsx file.
DOI: 10.6084/m9.figshare.12629200.v1
title: Additional file 4 of Superior breast cancer metastasis risk stratification using an epithelial-mesenchymal-amoeboid transition gene signature

description: Additional file 4: Table S3. Percent of EMT and MAT genes present among differentially expressed genes (DEGs) for each cluster. The table content is provided as a separate xlsx file. DEGS for each EMAT cluster were defined as differentially expressed in that cluster compared to other clusters (Bonferroni adjusted p
DOI: 10.6084/m9.figshare.12629206.v1
title: Additional file 6 of Superior breast cancer metastasis risk stratification using an epithelial-mesenchymal-amoeboid transition gene signature

description: Additional file 6: Table S5. A summary of the characteristics of the EMAT clusters obtained using lymph node-negative breast cancer patients from the METABRIC study. In this table, P stands for positive and N for negative. EMAT1 has the least similarity to hESC and is enriched in normal-like PAM50 subtype of breast cancer and has a good prognosis. EMAT2, the cluster with a relatively good prognosis, has little similarity to hESC, is enriched in Luminal A subtype and in ER-positive and PR-positive samples. EMAT3, the cluster with a relatively moderate prognosis, has a high degree of similarity to hESC, is enriched in Luminal B subtype and in ER-positive, PR-positive and HER2-negative samples. EMAT4, the cluster with the worst prognosis, shows the highest degree of similarity to hESC, is enriched in the basal-like subtype of breast cancer as well as ER-negative, PR-negative and HER2-negative samples.
DOI: 10.6084/m9.figshare.12629194
title: Additional file 2 of Superior breast cancer metastasis risk stratification using an epithelial-mesenchymal-amoeboid transition gene signature

description: Additional file 2: Table S1. List of genes in the EMAT, EMT and MAT signatures. The table content is provided as a separate xlsx file.
DOI: 10.6084/m9.figshare.12629197.v1
title: Additional file 3 of Superior breast cancer metastasis risk stratification using an epithelial-mesenchymal-amoeboid transition gene signature

description: Additional file 3: Table S2. EMAT cluster labels of samples in the METABRIC, GSE11121 and NKI295 datasets. The table content is provided as a separate xlsx file. The labels are obtained using hierarchical clustering with 4 clusters, as described in the manuscript.
DOI: 10.6084/m9.figshare.12629194.v1
title: Additional file 2 of Superior breast cancer metastasis risk stratification using an epithelial-mesenchymal-amoeboid transition gene signature

description: Additional file 2: Table S1. List of genes in the EMAT, EMT and MAT signatures. The table content is provided as a separate xlsx file.
DOI: 10.6084/m9.figshare.12629164
title: Additional file 2 of Co-occurrence patterns and the large-scale spatial structure of benthic communities in seagrass meadows and bare sand

description: Additional file 2: Table S2 CSV-file containing the species-occurrence information for sandy habitats, as well as associated values for environmental variables.
DOI: 10.6084/m9.figshare.12629161
title: Additional file 1 of Co-occurrence patterns and the large-scale spatial structure of benthic communities in seagrass meadows and bare sand

description: Additional file 1: Table S1 CSV-file containing the species-occurrence information for seagrass habitats, as well as associated values for environmental variables.
DOI: 10.6084/m9.figshare.12629164.v1
title: Additional file 2 of Co-occurrence patterns and the large-scale spatial structure of benthic communities in seagrass meadows and bare sand

description: Additional file 2: Table S2 CSV-file containing the species-occurrence information for sandy habitats, as well as associated values for environmental variables.
DOI: 10.6084/m9.figshare.12629155
title: Additional file 4 of Genomic diversity in pearl millet inbred lines derived from landraces and improved varieties

description: Additional file 4. Genetic distance among pairs of inbred lines. (CSV 1611 kb)
DOI: 10.6084/m9.figshare.12629161.v1
title: Additional file 1 of Co-occurrence patterns and the large-scale spatial structure of benthic communities in seagrass meadows and bare sand

description: Additional file 1: Table S1 CSV-file containing the species-occurrence information for seagrass habitats, as well as associated values for environmental variables.
DOI: 10.6084/m9.figshare.12629149
title: Additional file 3 of Genomic diversity in pearl millet inbred lines derived from landraces and improved varieties

description: Additional file 3. Relative kinship among pairs of inbred lines. (CSV 1417 kb)
DOI: 10.6084/m9.figshare.12629155.v1
title: Additional file 4 of Genomic diversity in pearl millet inbred lines derived from landraces and improved varieties

description: Additional file 4. Genetic distance among pairs of inbred lines. (CSV 1611 kb)
DOI: 10.6084/m9.figshare.12629146
title: Additional file 2 of Genomic diversity in pearl millet inbred lines derived from landraces and improved varieties

description: Additional file 2. SNP markers (54,770) developed for 309 pearl millet inbred lines.
DOI: 10.6084/m9.figshare.12629149.v1
title: Additional file 3 of Genomic diversity in pearl millet inbred lines derived from landraces and improved varieties

description: Additional file 3. Relative kinship among pairs of inbred lines. (CSV 1417 kb)
DOI: 10.6084/m9.figshare.12629143
title: Additional file 1 of Genomic diversity in pearl millet inbred lines derived from landraces and improved varieties

description: Additional file 1. List of materials with their pedigree and origin.
DOI: 10.6084/m9.figshare.12629146.v1
title: Additional file 2 of Genomic diversity in pearl millet inbred lines derived from landraces and improved varieties

description: Additional file 2. SNP markers (54,770) developed for 309 pearl millet inbred lines.
DOI: 10.6084/m9.figshare.12629143.v1
title: Additional file 1 of Genomic diversity in pearl millet inbred lines derived from landraces and improved varieties

description: Additional file 1. List of materials with their pedigree and origin.
DOI: 10.6084/m9.figshare.12629110
title: Additional file 1 of Proteomic analysis of Rickettsia akari proposes a 44 kDa-OMP as a potential biomarker for Rickettsialpox diagnosis

description: Additional file 1. Identified R. akari proteins classified in the COGs functional category. * S - gel-free approach “Shotgun”; 2D - two dimensional electrophoresis; B - biotinylation; T- Triton X-114 phase partitioning.
DOI: 10.6084/m9.figshare.12629113
title: Additional file 2 of Proteomic analysis of Rickettsia akari proposes a 44 kDa-OMP as a potential biomarker for Rickettsialpox diagnosis

description: Additional file 2. R.akari predicted surface-exposed proteins classified in the COGs functional category.
DOI: 10.6084/m9.figshare.12629104
title: Additional file 3 of Merging microarray studies to identify a common gene expression signature to several structural heart diseases

description: Additional file 3 Table with the association status of the 24 genes which were found, using disGeNet, associated with heart related disease.
DOI: 10.6084/m9.figshare.12629110.v1
title: Additional file 1 of Proteomic analysis of Rickettsia akari proposes a 44 kDa-OMP as a potential biomarker for Rickettsialpox diagnosis

description: Additional file 1. Identified R. akari proteins classified in the COGs functional category. * S - gel-free approach “Shotgun”; 2D - two dimensional electrophoresis; B - biotinylation; T- Triton X-114 phase partitioning.
DOI: 10.6084/m9.figshare.12629113.v1
title: Additional file 2 of Proteomic analysis of Rickettsia akari proposes a 44 kDa-OMP as a potential biomarker for Rickettsialpox diagnosis

description: Additional file 2. R.akari predicted surface-exposed proteins classified in the COGs functional category.
DOI: 10.6084/m9.figshare.12629098
title: Additional file 1 of Merging microarray studies to identify a common gene expression signature to several structural heart diseases

description: Additional file 1 gO results. Gene Ontology significant results of the up-regulated and down-regulated genes from the gene set with a fold change cutoff of 1.6. Only results for p-value &lt;0.05 are displayed.
DOI: 10.6084/m9.figshare.12629104.v2
title: Additional file 3 of Merging microarray studies to identify a common gene expression signature to several structural heart diseases

description: Additional file 3 Table with the association status of the 24 genes which were found, using disGeNet, associated with heart related disease.
DOI: 10.6084/m9.figshare.12629098.v2
title: Additional file 1 of Merging microarray studies to identify a common gene expression signature to several structural heart diseases

description: Additional file 1 gO results. Gene Ontology significant results of the up-regulated and down-regulated genes from the gene set with a fold change cutoff of 1.6. Only results for p-value &lt;0.05 are displayed.
DOI: 10.6084/m9.figshare.12629104.v1
title: Additional file 3 of Merging microarray studies to identify a common gene expression signature to several structural heart diseases

description: Additional file 3 Table with the association status of the 24 genes which were found, using disGeNet, associated with heart related disease.
DOI: 10.6084/m9.figshare.12629098.v1
title: Additional file 1 of Merging microarray studies to identify a common gene expression signature to several structural heart diseases

description: Additional file 1 GO results. Gene Ontology significant results of the up-regulated and down-regulated genes from the gene set with a fold change cutoff of 1.6. Only results for p-value &lt;0.05 are displayed.
DOI: 10.6084/m9.figshare.12629085
title: Additional file 1 of Avian Metapneumovirus subtype B around Europe: a phylodynamic reconstruction

description: Additional file 1. Summary of selected sequences and relative metadata. The list of Genbank accession numbers of the sequences used in the present study is reported together with relevant metadata (i.e. strain name, collection country, host and year). When no accession number was available, the relative reference has been provided.
DOI: 10.6084/m9.figshare.12629085.v1
title: Additional file 1 of Avian Metapneumovirus subtype B around Europe: a phylodynamic reconstruction

description: Additional file 1. Summary of selected sequences and relative metadata. The list of Genbank accession numbers of the sequences used in the present study is reported together with relevant metadata (i.e. strain name, collection country, host and year). When no accession number was available, the relative reference has been provided.
DOI: 10.6084/m9.figshare.12629056
title: Additional file 1 of A CT-based radiomics nomogram for prediction of lung adenocarcinomas and granulomatous lesions in patient with solitary sub-centimeter solid nodules

description: Additional file 1: Supplementary A0. Details for U-net based DL model. Supplementary A1. Stratified analysis of radiomic nomogram. Supplementary Figure S1. Radiomics nomogram for each subgroup stratified by (A) age, (B) gender, (C) CT scan system, and (D) CT image slice thickness, respectively. Supplementary Table S1. Radiomics score formulas
DOI: 10.6084/m9.figshare.12629056.v1
title: Additional file 1 of A CT-based radiomics nomogram for prediction of lung adenocarcinomas and granulomatous lesions in patient with solitary sub-centimeter solid nodules

description: Additional file 1: Supplementary A0. Details for U-net based DL model. Supplementary A1. Stratified analysis of radiomic nomogram. Supplementary Figure S1. Radiomics nomogram for each subgroup stratified by (A) age, (B) gender, (C) CT scan system, and (D) CT image slice thickness, respectively. Supplementary Table S1. Radiomics score formulas
DOI: 10.6084/m9.figshare.12628649
title: Phylogenetic tree REA 2020

description: Time-scaled informal supertree assembled for REA 2020. Fifty-seven extant faunivorous marsupial & placental species including the thylacine.
DOI: 10.6084/m9.figshare.12628649.v1
title: Phylogenetic tree REA 2020

description: Time-scaled informal supertree assembled for REA 2020. Fifty-seven extant faunivorous marsupial & placental species including the thylacine.
DOI: 10.6084/m9.figshare.12628634
title: R code for REA 2020

description: R code for analyses in REA 2020
DOI: 10.6084/m9.figshare.12628634.v1
title: R code for REA 2020

description: R code for analyses in REA 2020
DOI: 10.6084/m9.figshare.12629051.v1
title: AMBER Atlas of Instream Barriers in Europe

description: A geo-referenced database of 629,955 unique artificial instream barriers in 36 European countries produced by the AMBER Project (Adaptive Management of Barriers in European Rivers) funded under European Union’s Horizon 2020 Research and Innovation program, grant agreement No689682<br>https://amber.international/
DOI: 10.26180/5f067ce8e19b5
title: Trycycler demo - bad dataset

description: This contains the "bad" demo dataset that is described in Trycycler's documentation:https://github.com/rrwick/Trycycler/wiki/Demo-datasets<br>
DOI: 10.26180/5f067f0cdc04a
title: Trycycler demo - mediocre dataset

description: This contains the "mediocre" demo dataset that is described in Trycycler's documentation:https://github.com/rrwick/Trycycler/wiki/Demo-datasets<br>
DOI: 10.26180/5f06816649937
title: Trycycler demo - good dataset

description: This contains the "good" demo dataset that is described in Trycycler's documentation:https://github.com/rrwick/Trycycler/wiki/Demo-datasets<br>
DOI: 10.26180/5f0682b7c925d
title: Trycycler demo - great dataset

description: This contains the "great" demo dataset that is described in Trycycler's documentation:https://github.com/rrwick/Trycycler/wiki/Demo-datasets<br>
DOI: 10.6084/m9.figshare.12628583
title: Raw_electrophysiological_recording_data_of_M02_3W

description: Raw electrophysiological recording data of M02 3W
DOI: 10.6084/m9.figshare.12628586
title: Data matrix used in meta-analysis

description: Supplementary material of “Differential responses of litter decomposition to warming, elevated CO2, and changed precipitation regime”
DOI: 10.6084/m9.figshare.12628580
title: Shape Batimetrías Magdalena

description: Shape de Batimetría del río Magdalena<br>
DOI: 10.6084/m9.figshare.12628580.v1
title: Shape Batimetrías Magdalena

description: Shape de Batimetría del río Magdalena<br>
DOI: 10.6084/m9.figshare.12628547
title: Planiha classificação de tecnologias - IHC 2020.xlsx

description: Planilha utilizada para classificar tecnologias
DOI: 10.6084/m9.figshare.12628562
title: MUSICNTWRK models

description: an archive of metal and wood sounds in wav format for the machine learning example of MUSICNTWRK
DOI: 10.6084/m9.figshare.12628562.v2
title: MUSICNTWRK models

description: an archive of metal and wood sounds in wav format for the machine learning example of MUSICNTWRK
DOI: 10.6084/m9.figshare.12628562.v1
title: MUSICNTWRK models

description: an archive of metal and wood sounds in wav format for the machine learning example of MUSICNTWRK
DOI: 10.6084/m9.figshare.12628427
title: Morales-Williams_etal_2020_CO2_flux.csv

description: This file contains continuously measured pH and temperature data, discrete measured and calculated continuous CO2 concentration and flux. Please see metadata file for description of variables. <br>These data are associated with the manuscript, Morales-Williams, AM, AD Wanamaker, CJ Williams, and JA Downing (2020). Eutrophication drives extreme CO2 flux in lake ecosystems. Ecosystems. xx(xxx-xxx), doi: xx-xxx-xxxx
DOI: 10.6084/m9.figshare.12628223
title: Custom B. pertussis MLST scheme for ACV alleles

description: The custom scheme used with Torsten Seemann's MLST tool to identify the alleles of the ACV-related genes in our New Zealand <i>B. pertussis </i>genomes