cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.26989825.v1
title: Additional file 4 of EphrinA5 regulates cell motility by modulating Snhg15/DNA triplex-dependent targeting of DNMT1 to the Ncam1 promoter

description: Additional file 4: Table S3. Differentially methylated sites in CB cells treated with ephrinA5-Fc. Table lists all probes/sites (DMSs) with an adjusted p value ≤ 0.05 (adj. pval). Output of the function minfi::dmpFinder() for identified differentially methylated sites in CB cells treated with ephrinA5-Fc. The minfi::dmpFinder() function models the methylation ß-value of the respective CpG for each phenotype (i.e., "efnA5" or "control") with linear regression model and then determines whether the two regression models differ significantly from each other by use of an F-test. The table shows the parameters of the fitted regression models and the results of the F-test for all probes/sites (DMSs) with an adjusted p value ≤ 0.05 (adj. pval).
DOI: 10.6084/m9.figshare.26989834
title: Additional file 1 of Scientific evidence supporting the newly developed one-health labeling tool “Med-Index”: an umbrella systematic review on health benefits of mediterranean diet principles and adherence in a planeterranean perspective

description: Additional file 1: Table S1. Reported risk of bias (ROB) across selected studies.
DOI: 10.6084/m9.figshare.26989834.v1
title: Additional file 1 of Scientific evidence supporting the newly developed one-health labeling tool “Med-Index”: an umbrella systematic review on health benefits of mediterranean diet principles and adherence in a planeterranean perspective

description: Additional file 1: Table S1. Reported risk of bias (ROB) across selected studies.
DOI: 10.6084/m9.figshare.26989840
title: Additional file 2 of Transcriptome analysis reveals a lncRNA-miRNA-mRNA regulatory network in OsRpp30-mediated disease resistance in rice

description: Additional file 2: List of predicted lncRNAs.
DOI: 10.6084/m9.figshare.26989840.v1
title: Additional file 2 of Transcriptome analysis reveals a lncRNA-miRNA-mRNA regulatory network in OsRpp30-mediated disease resistance in rice

description: Additional file 2: List of predicted lncRNAs.
DOI: 10.6084/m9.figshare.26989843
title: Additional file 3 of Transcriptome analysis reveals a lncRNA-miRNA-mRNA regulatory network in OsRpp30-mediated disease resistance in rice

description: Additional file 3: Sequence comparison between predicted lncRNAs and lncRNAs from other databases.
DOI: 10.6084/m9.figshare.26989843.v1
title: Additional file 3 of Transcriptome analysis reveals a lncRNA-miRNA-mRNA regulatory network in OsRpp30-mediated disease resistance in rice

description: Additional file 3: Sequence comparison between predicted lncRNAs and lncRNAs from other databases.
DOI: 10.6084/m9.figshare.26989846
title: Additional file 4 of Transcriptome analysis reveals a lncRNA-miRNA-mRNA regulatory network in OsRpp30-mediated disease resistance in rice

description: Additional file 4: List of DElncRNAs.
DOI: 10.6084/m9.figshare.26989846.v1
title: Additional file 4 of Transcriptome analysis reveals a lncRNA-miRNA-mRNA regulatory network in OsRpp30-mediated disease resistance in rice

description: Additional file 4: List of DElncRNAs.
DOI: 10.6084/m9.figshare.26989849
title: Additional file 5 of Transcriptome analysis reveals a lncRNA-miRNA-mRNA regulatory network in OsRpp30-mediated disease resistance in rice

description: Additional file 5: List of DEmRNAs.
DOI: 10.6084/m9.figshare.26989849.v1
title: Additional file 5 of Transcriptome analysis reveals a lncRNA-miRNA-mRNA regulatory network in OsRpp30-mediated disease resistance in rice

description: Additional file 5: List of DEmRNAs.
DOI: 10.6084/m9.figshare.26989852
title: Additional file 6 of Transcriptome analysis reveals a lncRNA-miRNA-mRNA regulatory network in OsRpp30-mediated disease resistance in rice

description: Additional file 6: List of DEmiRNAs.
DOI: 10.6084/m9.figshare.26989852.v1
title: Additional file 6 of Transcriptome analysis reveals a lncRNA-miRNA-mRNA regulatory network in OsRpp30-mediated disease resistance in rice

description: Additional file 6: List of DEmiRNAs.
DOI: 10.6084/m9.figshare.26989894.v1
title: Additional file 14 of Gene expression in notochord and nuclei pulposi: a study of gene families across the chordate phylum

description: Additional file 14: Supplemental file 2. Rgm protein sequences used in Fig. 2, with their respective accession numbers.
DOI: 10.6084/m9.figshare.26989879
title: Additional file 9 of Gene expression in notochord and nuclei pulposi: a study of gene families across the chordate phylum

description: Additional file 9: Table S2. Danio rerio gene models, ESTs and cloning primers.
DOI: 10.6084/m9.figshare.26989882
title: Additional file 10 of Gene expression in notochord and nuclei pulposi: a study of gene families across the chordate phylum

description: Additional file 10: Table S3. Xenopus laevis gene models and cloning primers.
DOI: 10.6084/m9.figshare.26989882.v1
title: Additional file 10 of Gene expression in notochord and nuclei pulposi: a study of gene families across the chordate phylum

description: Additional file 10: Table S3. Xenopus laevis gene models and cloning primers.
DOI: 10.6084/m9.figshare.26989885
title: Additional file 11 of Gene expression in notochord and nuclei pulposi: a study of gene families across the chordate phylum

description: Additional file 11: Table S4. Mouse and human gene models and probe IDs.
DOI: 10.6084/m9.figshare.26989876
title: Additional file 8 of Gene expression in notochord and nuclei pulposi: a study of gene families across the chordate phylum

description: Additional file 8: Table S1. Ciona robusta gene models and ESTs.
DOI: 10.6084/m9.figshare.26989888
title: Additional file 12 of Gene expression in notochord and nuclei pulposi: a study of gene families across the chordate phylum

description: Additional file 12: Table S5. ENSEMBL gene models for the mouse genes in Fig. S7.
DOI: 10.6084/m9.figshare.26989876.v1
title: Additional file 8 of Gene expression in notochord and nuclei pulposi: a study of gene families across the chordate phylum

description: Additional file 8: Table S1. Ciona robusta gene models and ESTs.
DOI: 10.6084/m9.figshare.26989891.v1
title: Additional file 13 of Gene expression in notochord and nuclei pulposi: a study of gene families across the chordate phylum

description: Additional file 13: Supplemental file 1. Phip protein sequences used in Fig. S1, with their respective accession numbers.
DOI: 10.6084/m9.figshare.26989900
title: Additional file 16 of Gene expression in notochord and nuclei pulposi: a study of gene families across the chordate phylum

description: Additional file 16: Supplemental file 4. Rgs protein sequences used in Fig. 4, with their respective accession numbers.
DOI: 10.6084/m9.figshare.26989900.v1
title: Additional file 16 of Gene expression in notochord and nuclei pulposi: a study of gene families across the chordate phylum

description: Additional file 16: Supplemental file 4. Rgs protein sequences used in Fig. 4, with their respective accession numbers.
DOI: 10.6084/m9.figshare.26989903
title: Additional file 17 of Gene expression in notochord and nuclei pulposi: a study of gene families across the chordate phylum

description: Additional file 17: Supplemental file 5. Coronin protein sequences used in Fig. 5, with their respective accession numbers.
DOI: 10.6084/m9.figshare.26989903.v1
title: Additional file 17 of Gene expression in notochord and nuclei pulposi: a study of gene families across the chordate phylum

description: Additional file 17: Supplemental file 5. Coronin protein sequences used in Fig. 5, with their respective accession numbers.
DOI: 10.6084/m9.figshare.26989930.v1
title: Additional file 7 of Meningioma animal models: a systematic review and meta-analysis

description: Additional file 7: CRIME-Q: Full spread sheet.
DOI: 10.6084/m9.figshare.26989936.v1
title: Additional file 9 of Meningioma animal models: a systematic review and meta-analysis

description: Additional file 9: ECLM full data extraction sheet.
DOI: 10.6084/m9.figshare.26989930
title: Additional file 7 of Meningioma animal models: a systematic review and meta-analysis

description: Additional file 7: CRIME-Q: Full spread sheet.
DOI: 10.6084/m9.figshare.26989942
title: Additional file 11 of Meningioma animal models: a systematic review and meta-analysis

description: Additional file 11: GEM full data extraction sheet.
DOI: 10.6084/m9.figshare.26989966
title: Additional file 3 of DeepGAMI: deep biologically guided auxiliary learning for multimodal integration and imputation to improve genotype–phenotype prediction

description: Additional file 3. Prioritized bulk genes and SNPs for schizophrenia.
DOI: 10.6084/m9.figshare.26989966.v1
title: Additional file 3 of DeepGAMI: deep biologically guided auxiliary learning for multimodal integration and imputation to improve genotype–phenotype prediction

description: Additional file 3. Prioritized bulk genes and SNPs for schizophrenia.
DOI: 10.6084/m9.figshare.26989969
title: Additional file 4 of DeepGAMI: deep biologically guided auxiliary learning for multimodal integration and imputation to improve genotype–phenotype prediction

description: Additional file 4. Prioritized bulk transcription factors to genes and SNPs to gene links for schizophrenia.
DOI: 10.6084/m9.figshare.26989972
title: Additional file 5 of DeepGAMI: deep biologically guided auxiliary learning for multimodal integration and imputation to improve genotype–phenotype prediction

description: Additional file 5. Prioritized genes and SNPs for cognitive impairment phenotype in Alzheimer’s disease.
DOI: 10.6084/m9.figshare.26989972.v1
title: Additional file 5 of DeepGAMI: deep biologically guided auxiliary learning for multimodal integration and imputation to improve genotype–phenotype prediction

description: Additional file 5. Prioritized genes and SNPs for cognitive impairment phenotype in Alzheimer’s disease.
DOI: 10.6084/m9.figshare.26989975
title: Additional file 6 of DeepGAMI: deep biologically guided auxiliary learning for multimodal integration and imputation to improve genotype–phenotype prediction

description: Additional file 6. Prioritized transcription factors to genes and SNPs to gene links for cognitive impairment phenotype in Alzheimer’s disease.
DOI: 10.6084/m9.figshare.26989975.v1
title: Additional file 6 of DeepGAMI: deep biologically guided auxiliary learning for multimodal integration and imputation to improve genotype–phenotype prediction

description: Additional file 6. Prioritized transcription factors to genes and SNPs to gene links for cognitive impairment phenotype in Alzheimer’s disease.
DOI: 10.6084/m9.figshare.26989978.v1
title: Additional file 7 of DeepGAMI: deep biologically guided auxiliary learning for multimodal integration and imputation to improve genotype–phenotype prediction

description: Additional file 7. Prioritized genes and electrophysiological features for cell cortical layers in mouse visual cortex.
DOI: 10.6084/m9.figshare.26989981
title: Additional file 8 of DeepGAMI: deep biologically guided auxiliary learning for multimodal integration and imputation to improve genotype–phenotype prediction

description: Additional file 8. Prioritized cell-type genes and SNPs for schizophrenia.
DOI: 10.6084/m9.figshare.26989984
title: Additional file 9 of DeepGAMI: deep biologically guided auxiliary learning for multimodal integration and imputation to improve genotype–phenotype prediction

description: Additional file 9. Prioritized cell-type transcription factors to genes and SNPs to gene links for schizophrenia.
DOI: 10.6084/m9.figshare.26989981.v1
title: Additional file 8 of DeepGAMI: deep biologically guided auxiliary learning for multimodal integration and imputation to improve genotype–phenotype prediction

description: Additional file 8. Prioritized cell-type genes and SNPs for schizophrenia.
DOI: 10.15468/dl.ygf77m
title: Occurrence Download

description: A dataset listing the 1160 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((4.37767 47.6332,4.47112 47.6332,4.47112 47.70339,4.37767 47.70339,4.37767 47.6332))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset's 1160 records were derived from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011670-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xdffdy
title: Occurrence Download

description: A dataset containing 724 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Astrocaryum jauari Mart."
 ]
}

 The dataset includes 724 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011673-240906103802322/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.26990044.v1
title: Additional file 2 of Multi-scale characterisation of homologous recombination deficiency in breast cancer

description: Additional file 2: Supplementary Data Table S1. Mutational signature phenotype clustering of the ICGC breast cancer cohort. Table S2. HRD classification and signature phenotype assignment of the TCGA-BRCA cohort. Table S3. ANOVA analysis of hypoxia levels as a function of ER, BRCA-defect, and HRD status in the TCGA-BRCA cohort. Table S4. The 228-gene HRD signature with centroid templates for each group developed using the TCGA-BRCA training cohort. Table S5. The reduced 26-gene HRD signature with importance values calculated using a graph attention network. Table S6. HRD scores and PRISM values of PARP inhibitor sensitivity for 26 breast cancer cell lines obtained from the Cancer Cell Line Encyclopaedia.
DOI: 10.6084/m9.figshare.26990092
title: Additional file 4 of Proteomic characterization of a lutein-hyperaccumulating Chlamydomonas reinhardtii mutant reveals photoprotection-related factors as targets for increasing cellular carotenoid content

description: Additional file 4: Differential abundance analysis and functional annotation of Mut-5 vs CC-125 proteomics data. Table S1 List of all proteins quantified with LFQ Analyst, including GO and MapMan annotations. Table S2 Proteins with significantly higher abundance in Mut-5 compared to CC-125 grouped according to functional annotation. Table S2 Proteins with significantly lower abundance in Mut-5 compared to CC-125 grouped according to functional annotation.
DOI: 10.6084/m9.figshare.26990092.v1
title: Additional file 4 of Proteomic characterization of a lutein-hyperaccumulating Chlamydomonas reinhardtii mutant reveals photoprotection-related factors as targets for increasing cellular carotenoid content

description: Additional file 4: Differential abundance analysis and functional annotation of Mut-5 vs CC-125 proteomics data. Table S1 List of all proteins quantified with LFQ Analyst, including GO and MapMan annotations. Table S2 Proteins with significantly higher abundance in Mut-5 compared to CC-125 grouped according to functional annotation. Table S2 Proteins with significantly lower abundance in Mut-5 compared to CC-125 grouped according to functional annotation.
DOI: 10.15468/dl.t2kunt
title: Occurrence Download

description: A dataset containing 16429 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Attalea butyracea (Mutis ex L.f.) Wess.Boer"
 ]
}

 The dataset includes 16429 records from 161 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011674-240906103802322/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.26990101
title: Additional file 2 of Genomic signatures of selection, local adaptation and production type characterisation of East Adriatic sheep breeds

description: Additional file 2: Table S1. Data Info. Contains basic information (breed and number of samples) about the animals used in this study.
DOI: 10.6084/m9.figshare.26990101.v1
title: Additional file 2 of Genomic signatures of selection, local adaptation and production type characterisation of East Adriatic sheep breeds

description: Additional file 2: Table S1. Data Info. Contains basic information (breed and number of samples) about the animals used in this study.
DOI: 10.6084/m9.figshare.26990107
title: Additional file 4 of Genomic signatures of selection, local adaptation and production type characterisation of East Adriatic sheep breeds

description: Additional file 4: Table S2. Gene clusters. Contains results from the functional annotation cluster analysis using DAVID software, with identified annotation clusters corresponding to biological functions.
DOI: 10.6084/m9.figshare.26990107.v1
title: Additional file 4 of Genomic signatures of selection, local adaptation and production type characterisation of East Adriatic sheep breeds

description: Additional file 4: Table S2. Gene clusters. Contains results from the functional annotation cluster analysis using DAVID software, with identified annotation clusters corresponding to biological functions.
DOI: 10.6084/m9.figshare.26990110
title: Additional file 5 of Genomic signatures of selection, local adaptation and production type characterisation of East Adriatic sheep breeds

description: Additional file 5: Table S3. Regions overlap. Contains information on detected selection signatures and regions whose positions overlapped by at least two different methods.
DOI: 10.6084/m9.figshare.26990110.v1
title: Additional file 5 of Genomic signatures of selection, local adaptation and production type characterisation of East Adriatic sheep breeds

description: Additional file 5: Table S3. Regions overlap. Contains information on detected selection signatures and regions whose positions overlapped by at least two different methods.
DOI: 10.6084/m9.figshare.26990113
title: Additional file 6 of Genomic signatures of selection, local adaptation and production type characterisation of East Adriatic sheep breeds

description: Additional file 6: Table S4. Identified genes ID. Contains detailed information (Gene ID, chr, start and end positions in bp) about the genes identified within genomic regions detected as selection signatures.
DOI: 10.6084/m9.figshare.26990113.v1
title: Additional file 6 of Genomic signatures of selection, local adaptation and production type characterisation of East Adriatic sheep breeds

description: Additional file 6: Table S4. Identified genes ID. Contains detailed information (Gene ID, chr, start and end positions in bp) about the genes identified within genomic regions detected as selection signatures.
DOI: 10.6084/m9.figshare.26990116
title: Additional file 7 of Genomic signatures of selection, local adaptation and production type characterisation of East Adriatic sheep breeds

description: Additional file 7: Table S5. Functional gene groups. Contains results from the functional classification analysis of genes based on the functional similarity algorithm using DAVID software.
DOI: 10.6084/m9.figshare.26990116.v1
title: Additional file 7 of Genomic signatures of selection, local adaptation and production type characterisation of East Adriatic sheep breeds

description: Additional file 7: Table S5. Functional gene groups. Contains results from the functional classification analysis of genes based on the functional similarity algorithm using DAVID software.
DOI: 10.6084/m9.figshare.26990119
title: Additional file 8 of Genomic signatures of selection, local adaptation and production type characterisation of East Adriatic sheep breeds

description: Additional file 8: Table S6. Functional terms. Contains results from the functional annotation analysis with annotation terms and their associated genes using DAVID software.
DOI: 10.6084/m9.figshare.26990119.v1
title: Additional file 8 of Genomic signatures of selection, local adaptation and production type characterisation of East Adriatic sheep breeds

description: Additional file 8: Table S6. Functional terms. Contains results from the functional annotation analysis with annotation terms and their associated genes using DAVID software.
DOI: 10.6084/m9.figshare.26990128
title: Additional file 1 of Fabrication of a three-dimensional bone marrow niche-like acute myeloid Leukemia disease model by an automated and controlled process using a robotic multicellular bioprinting system

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.26990128.v1
title: Additional file 1 of Fabrication of a three-dimensional bone marrow niche-like acute myeloid Leukemia disease model by an automated and controlled process using a robotic multicellular bioprinting system

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.26990131
title: Additional file 2 of Fabrication of a three-dimensional bone marrow niche-like acute myeloid Leukemia disease model by an automated and controlled process using a robotic multicellular bioprinting system

description: Supplementary Material 2
DOI: 10.6084/m9.figshare.26990131.v1
title: Additional file 2 of Fabrication of a three-dimensional bone marrow niche-like acute myeloid Leukemia disease model by an automated and controlled process using a robotic multicellular bioprinting system

description: Supplementary Material 2
DOI: 10.6084/m9.figshare.26990134
title: Additional file 3 of Fabrication of a three-dimensional bone marrow niche-like acute myeloid Leukemia disease model by an automated and controlled process using a robotic multicellular bioprinting system

description: Supplementary Material 3
DOI: 10.6084/m9.figshare.26990134.v1
title: Additional file 3 of Fabrication of a three-dimensional bone marrow niche-like acute myeloid Leukemia disease model by an automated and controlled process using a robotic multicellular bioprinting system

description: Supplementary Material 3
DOI: 10.6084/m9.figshare.26990170
title: Additional file 2 of Integrative multi-omics analysis unveils stemness-associated molecular subtypes in prostate cancer and pan-cancer: prognostic and therapeutic significance

description: Additional file 2: Data S1. Eighteen stemness signatures for stemness classification. Data S2. Prediction performances of 9- gene stemness subtype predictor based on 100 machine learning algorithms (MLs). Data S3. Details of 100 machine learning algorithms.
DOI: 10.6084/m9.figshare.26990170.v1
title: Additional file 2 of Integrative multi-omics analysis unveils stemness-associated molecular subtypes in prostate cancer and pan-cancer: prognostic and therapeutic significance

description: Additional file 2: Data S1. Eighteen stemness signatures for stemness classification. Data S2. Prediction performances of 9- gene stemness subtype predictor based on 100 machine learning algorithms (MLs). Data S3. Details of 100 machine learning algorithms.
DOI: 10.6084/m9.figshare.26990173
title: Additional file 1 of Sctensor detects many-to-many cell–cell interactions from single cell RNA-sequencing data

description: Additional file 1. List of existing L–R scoring and CCI detection methods.
DOI: 10.6084/m9.figshare.26990173.v1
title: Additional file 1 of Sctensor detects many-to-many cell–cell interactions from single cell RNA-sequencing data

description: Additional file 1. List of existing L–R scoring and CCI detection methods.
DOI: 10.6084/m9.figshare.26990212
title: Additional file 14 of Sctensor detects many-to-many cell–cell interactions from single cell RNA-sequencing data

description: Additional file 14. HTML report of FetalKidney.
DOI: 10.6084/m9.figshare.26990212.v1
title: Additional file 14 of Sctensor detects many-to-many cell–cell interactions from single cell RNA-sequencing data

description: Additional file 14. HTML report of FetalKidney.
DOI: 10.6084/m9.figshare.26990215
title: Additional file 15 of Sctensor detects many-to-many cell–cell interactions from single cell RNA-sequencing data

description: Additional file 15. HTML report of GermlineFemale.
DOI: 10.6084/m9.figshare.26990215.v1
title: Additional file 15 of Sctensor detects many-to-many cell–cell interactions from single cell RNA-sequencing data

description: Additional file 15. HTML report of GermlineFemale.