cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.22309946.v1
title: A fast grid generation algorithm for local irregular parts of hexagonal discrete global grid systems

description: Discrete Global Grid Systems (DGGS) provide a multi-resolution discrete representation of the Earth and are preferable for the organization, integration, and analysis of large and multi-source geospatial datasets. Generating grids for the area of interest is usually the premise and basis for DGGS applications. Owing to incongruent hierarchies that restrict the multi-resolution applications of hexagonal DGGS, current grid generation of hexagonal DGGS for local areas mainly depends on inefficient single-resolution traversal methods by judging the spatial relationship between each cell and the area. This study designs a fast generation algorithm for local parts of hexagonal DGGS based on the hierarchical properties of DGGS. A partition structure at intervals of multiple levels is first designed to ensure the coverage relevance between parent and children cells of different levels. Based on this structure, the algorithm begins with coarser resolution grids and recursively decomposes them into the target resolution, with multiple decomposition patterns used and a unique condition proposed to make the generated grids without gaps or overlaps. Efficient integer coordinate operations are used to generate the vast majority of cells. Experimental results show that the proposed algorithm achieves a significant improvement in efficiency. In the aperture 4 hexagonal DGGS, the efficiency ratio of the proposed and traversal algorithms increases from six times in level 14 to approximately 339 times in level 18. This study provides a solid foundation for subsequent data quantization and multi-resolution applications in hexagonal DGGS and has broad prospects.
DOI: 10.6084/m9.figshare.11299961
title: MOESM10 of Comparative metabolomic analysis reveals the variations in taxoids and flavonoids among three Taxus species

description: Additional file 10: Table S3. The important information of taxoid-related networks.
DOI: 10.6084/m9.figshare.11299961.v1
title: MOESM10 of Comparative metabolomic analysis reveals the variations in taxoids and flavonoids among three Taxus species

description: Additional file 10: Table S3. The important information of taxoid-related networks.
DOI: 10.6084/m9.figshare.11299967
title: MOESM11 of Comparative metabolomic analysis reveals the variations in taxoids and flavonoids among three Taxus species

description: Additional file 11: Dataset 1 Metabolomic input raw dataÂ 1.
DOI: 10.6084/m9.figshare.11299967.v1
title: MOESM11 of Comparative metabolomic analysis reveals the variations in taxoids and flavonoids among three Taxus species

description: Additional file 11: Dataset 1 Metabolomic input raw dataÂ 1.
DOI: 10.6084/m9.figshare.11299970
title: MOESM12 of Comparative metabolomic analysis reveals the variations in taxoids and flavonoids among three Taxus species

description: Additional file 12: Dataset 2 Metabolomic input raw dataÂ 2.
DOI: 10.6084/m9.figshare.11299970.v1
title: MOESM12 of Comparative metabolomic analysis reveals the variations in taxoids and flavonoids among three Taxus species

description: Additional file 12: Dataset 2 Metabolomic input raw dataÂ 2.
DOI: 10.6084/m9.figshare.11299985
title: MOESM1 of Comparative metabolomic analysis reveals the variations in taxoids and flavonoids among three Taxus species

description: Additional file 1: Table S1. Detail information of 2246 identified metabolites.
DOI: 10.6084/m9.figshare.11299985.v1
title: MOESM1 of Comparative metabolomic analysis reveals the variations in taxoids and flavonoids among three Taxus species

description: Additional file 1: Table S1. Detail information of 2246 identified metabolites.
DOI: 10.6084/m9.figshare.11299997
title: MOESM3 of Comparative metabolomic analysis reveals the variations in taxoids and flavonoids among three Taxus species

description: Additional file 3: Table S2. The KEGG annotations of 747 identified metabolites.
DOI: 10.6084/m9.figshare.11299997.v1
title: MOESM3 of Comparative metabolomic analysis reveals the variations in taxoids and flavonoids among three Taxus species

description: Additional file 3: Table S2. The KEGG annotations of 747 identified metabolites.
DOI: 10.6084/m9.figshare.21258975.v1
title: Additional file 21 of Transcriptomic analysis of paternal behaviors in prairie voles

description: Additional file 21. Number of immediate early genes (IEG) in the genes differentially expressed in the medial preoptic area (MPOA), nucleus accumbens (NAc), and lateral septum (LS).
DOI: 10.6084/m9.figshare.23354344
title: Additional file 3 of Sparse Phenotyping and Haplotype-Based Models for Genomic Prediction in Rice

description: Additional file 3: Table S2. Genomic prediction accuraciesof days to headingand plant heightin the three rice populations using three prediction modelswith different missing rates of environment-specific best linear unbiased estimatesof genetic effects of lines in the training set. The genetic effect was respectively described by SNP genotypes, haplotype using complete blocks, and short haplotypes containing two SNPsand three SNPswithin a haplotype block. The missing rate zeroindicates the training set holds complete environment-specific BLUEs. The asterisk and pound sign indicate the prediction accuracies of haplotype-based approaches were statistically significantlyhigher and lower than those of the marker-based approach.
DOI: 10.6084/m9.figshare.12870461.v1
title: Additional file 1 of Integrative analysis of circRNAs, miRNAs, and mRNAs profiles to reveal ceRNAs networks in chicken intramuscular and abdominal adipogenesis

description: Additional file 1: Table S1. The list of differentially expressed (DE) circRNAs across various groups. Table S2. The list of differentially expressed (DE) miRNAs across various groups. Table S3. The primers used for qRT-PCR in the present study.
DOI: 10.6084/m9.figshare.12870461
title: Additional file 1 of Integrative analysis of circRNAs, miRNAs, and mRNAs profiles to reveal ceRNAs networks in chicken intramuscular and abdominal adipogenesis

description: Additional file 1: Table S1. The list of differentially expressed (DE) circRNAs across various groups. Table S2. The list of differentially expressed (DE) miRNAs across various groups. Table S3. The primers used for qRT-PCR in the present study.
DOI: 10.6084/m9.figshare.23354295.v1
title: Additional file 3 of Identification and validation of a DNA methylation-driven gene-based prognostic model for clear cell renal cell carcinoma

description: Additional file 3.
DOI: 10.6084/m9.figshare.21259083
title: Additional file 1 of Circulating tumor DNA integrating tissue clonality detects minimal residual disease in resectable non-small-cell lung cancer

description: Additional file 1. Table S1: Patient demography.
DOI: 10.6084/m9.figshare.14443269
title: Additional file 16 of Microbial community structure and composition is associated with host species and sex in Sigmodon cotton rats

description: Additional file 16: Supplemental File 6. Proportional counts from 16S rRNA sequencing data at all levels for both cotton rat cohorts.
DOI: 10.6084/m9.figshare.21259086
title: Additional file 2 of Circulating tumor DNA integrating tissue clonality detects minimal residual disease in resectable non-small-cell lung cancer

description: Additional file 2. Table S2: Adjuvant treatment information.
DOI: 10.6084/m9.figshare.14443260
title: Additional file 13 of Microbial community structure and composition is associated with host species and sex in Sigmodon cotton rats

description: Additional file 13: Supplemental File 3. LEfSe analysis of 16S rRNA gene sequencing data between S. fulviventer and S. hispidus across all body sites at the genus level.
DOI: 10.6084/m9.figshare.21259089.v1
title: Additional file 3 of Circulating tumor DNA integrating tissue clonality detects minimal residual disease in resectable non-small-cell lung cancer

description: Additional file 3. Table S3: Performance of three strategies.
DOI: 10.6084/m9.figshare.23354344.v1
title: Additional file 3 of Sparse Phenotyping and Haplotype-Based Models for Genomic Prediction in Rice

description: Additional file 3: Table S2. Genomic prediction accuraciesof days to headingand plant heightin the three rice populations using three prediction modelswith different missing rates of environment-specific best linear unbiased estimatesof genetic effects of lines in the training set. The genetic effect was respectively described by SNP genotypes, haplotype using complete blocks, and short haplotypes containing two SNPsand three SNPswithin a haplotype block. The missing rate zeroindicates the training set holds complete environment-specific BLUEs. The asterisk and pound sign indicate the prediction accuracies of haplotype-based approaches were statistically significantlyhigher and lower than those of the marker-based approach.
DOI: 10.6084/m9.figshare.14443278
title: Additional file 19 of Microbial community structure and composition is associated with host species and sex in Sigmodon cotton rats

description: Additional file 19: Supplemental File 9. Statistical comparison of MetaCyc pathway comparison between S. fulviventer and S. hispidus.
DOI: 10.6084/m9.figshare.14443272.v1
title: Additional file 17 of Microbial community structure and composition is associated with host species and sex in Sigmodon cotton rats

description: Additional file 17: Supplemental File 7. Raw counts from 16S rRNA sequencing data at all levels for both cotton rat cohorts.
DOI: 10.6084/m9.figshare.7103390.v1
title: Additional file 6: of Complete genome sequence of the Robinia pseudoacacia L. symbiont Mesorhizobium amorphae CCNWGS0123

description: Table S6. Genes involved in heavy metal resistant and homeostasis throughout the whole genome. (XLSX 13 kb)
DOI: 10.6084/m9.figshare.7103411.v1
title: Additional file 14: of Genome-wide identification of tissue-specific long non-coding RNA in three farm animal species

description: Tissue-specific Indices of Chicken LncRNAs. The calculated tissue-specific indices (TSI) for each lncRNA in each tissue. The “TSI A” and “TSI B” columns are the TSI calculated for each biological replicate. The “TSI Both” column is the F1 score of the TSI from both replicates. F1 is calculated as (2 * A * B) / (A + B) where A is TSI A and B is TSI. The “Name” and “Location” columns give the ID and genomic location of the lncRNA, and the following columns are the FPKM values from each library. (XLSX 1551 kb)
DOI: 10.6084/m9.figshare.7103339.v1
title: Additional file 10: of Genome-wide identification of tissue-specific long non-coding RNA in three farm animal species

description: LncRNA Classes from Pigs. The output from the FEELnc Classifier program, which finds nearby protein-coding genes for each lncRNA and classifies their positional relationship. See AdditionalÂ fileÂ 8 for column descriptions. (TSV 3182 kb)
DOI: 10.6084/m9.figshare.7103354.v1
title: Additional file 11: of Genome-wide identification of tissue-specific long non-coding RNA in three farm animal species

description: Expression of Chicken LncRNAs. FPKM values for all lncRNAs from each RNA-seq library (2 libraries per tissue) in chickens. (TSV 12559 kb)
DOI: 10.6084/m9.figshare.7103393.v1
title: Additional file 13: of Genome-wide identification of tissue-specific long non-coding RNA in three farm animal species

description: Expression of Pig LncRNAs. FPKM values for all lncRNAs from each RNA-seq library (2 libraries per tissue) in pigs. (TSV 14242 kb)
DOI: 10.5281/zenodo.10665398
title: Supplementary Tables
DOI: 10.5281/zenodo.10665399
title: Supplementary Tables
DOI: 10.6084/m9.figshare.21259089
title: Additional file 3 of Circulating tumor DNA integrating tissue clonality detects minimal residual disease in resectable non-small-cell lung cancer

description: Additional file 3. Table S3: Performance of three strategies.
DOI: 10.6084/m9.figshare.7103390
title: Additional file 6: of Complete genome sequence of the Robinia pseudoacacia L. symbiont Mesorhizobium amorphae CCNWGS0123

description: Table S6. Genes involved in heavy metal resistant and homeostasis throughout the whole genome. (XLSX 13 kb)
DOI: 10.6084/m9.figshare.7103435
title: Additional file 17: of Genome-wide identification of tissue-specific long non-coding RNA in three farm animal species

description: GO terms associate with tissue-specific lncRNAs in chickens. (XLSX 149 kb)
DOI: 10.6084/m9.figshare.21259086.v1
title: Additional file 2 of Circulating tumor DNA integrating tissue clonality detects minimal residual disease in resectable non-small-cell lung cancer

description: Additional file 2. Table S2: Adjuvant treatment information.
DOI: 10.6084/m9.figshare.23354491
title: Additional file 6 of Lifestyle factors, metabolic factors and socioeconomic status for pelvic organ prolapse: a Mendelian randomization study

description: Additional file 6: Table S2. Characteristics of the genetic instrument variables for exposures in both the FinnGen consortium and UK Biobank.
DOI: 10.6084/m9.figshare.21258975
title: Additional file 21 of Transcriptomic analysis of paternal behaviors in prairie voles

description: Additional file 21. Number of immediate early genes (IEG) in the genes differentially expressed in the medial preoptic area (MPOA), nucleus accumbens (NAc), and lateral septum (LS).
DOI: 10.6084/m9.figshare.21259020.v1
title: Additional file 9 of Transcriptomic analysis of paternal behaviors in prairie voles

description: Additional file 9. Functional enrichment across structures and phenotypes. For each pairwise comparison, the functional enrichments in gene ontologies of the biological processes (BP), cellular components (CC), and molecular functions (MF) categories as well as in pathways from the Kyoto Encyclopedia of Genes and Genomes (KEGG) were tested for the differentially expressed genes up- or down-regulated (UP, and DOWN, respectively). The labels of pairwise comparisons were coded in two letters: the first one represents the phenotype (M: mothers, F: fathers, P: paternal males, A: attackers), whereas the second one represents the structure (N: NAc). For instance, FNvPN refers to the comparison between fathers and paternal males in the NAc.
DOI: 10.6084/m9.figshare.21259083.v1
title: Additional file 1 of Circulating tumor DNA integrating tissue clonality detects minimal residual disease in resectable non-small-cell lung cancer

description: Additional file 1. Table S1: Patient demography.
DOI: 10.6084/m9.figshare.23354488
title: Additional file 5 of Lifestyle factors, metabolic factors and socioeconomic status for pelvic organ prolapse: a Mendelian randomization study

description: Additional file 5: Table S1. Genetic instruments in relation to pelvic organ prolapse.
DOI: 10.6084/m9.figshare.7103339
title: Additional file 10: of Genome-wide identification of tissue-specific long non-coding RNA in three farm animal species

description: LncRNA Classes from Pigs. The output from the FEELnc Classifier program, which finds nearby protein-coding genes for each lncRNA and classifies their positional relationship. See AdditionalÂ fileÂ 8 for column descriptions. (TSV 3182 kb)
DOI: 10.5281/zenodo.10666890
title: LD scores from Pan-UKB

description: This is a subset of LD scores released by the Pan-UKB project. It only inlcude the baseline model, and LD score files with RSIDs.

Originally downloaded from: https://pan.ukbb.broadinstitute.org/downloads

Please cite: Pan-UKB team. https://pan.ukbb.broadinstitute.org. 2020.
DOI: 10.5281/zenodo.10666891
title: LD scores from Pan-UKB

description: This is a subset of LD scores released by the Pan-UKB project. It only inlcude the baseline model, and LD score files with RSIDs.

Originally downloaded from: https://pan.ukbb.broadinstitute.org/downloads

Please cite: Pan-UKB team. https://pan.ukbb.broadinstitute.org. 2020.
DOI: 10.6084/m9.figshare.21258981
title: Additional file 23 of Transcriptomic analysis of paternal behaviors in prairie voles

description: Additional file 23. Functional enrichment for modules and groups of modules derived from the weighted gene co-expression analysis (WGCNA). For each pairwise group of modules, the functional enrichments in gene ontologies (GO) of the biological processes (BP), cellular components (CC), and molecular functions (MF) categories as well as in pathways from the Kyoto Encyclopedia of Genes and Genomes (KEGG).
DOI: 10.6084/m9.figshare.7103354
title: Additional file 11: of Genome-wide identification of tissue-specific long non-coding RNA in three farm animal species

description: Expression of Chicken LncRNAs. FPKM values for all lncRNAs from each RNA-seq library (2 libraries per tissue) in chickens. (TSV 12559 kb)
DOI: 10.6084/m9.figshare.7103378.v1
title: Additional file 12: of Genome-wide identification of tissue-specific long non-coding RNA in three farm animal species

description: Expression of Cattle LncRNAs. FPKM values for all lncRNAs from each RNA-seq library (2 libraries per tissue) in cattle. (TSV 15586 kb)
DOI: 10.6084/m9.figshare.7103393
title: Additional file 13: of Genome-wide identification of tissue-specific long non-coding RNA in three farm animal species

description: Expression of Pig LncRNAs. FPKM values for all lncRNAs from each RNA-seq library (2 libraries per tissue) in pigs. (TSV 14242 kb)
DOI: 10.6084/m9.figshare.7103435.v1
title: Additional file 17: of Genome-wide identification of tissue-specific long non-coding RNA in three farm animal species

description: GO terms associate with tissue-specific lncRNAs in chickens. (XLSX 149 kb)
DOI: 10.6084/m9.figshare.23354500.v1
title: Additional file 1 of MhCLC-c1, a Cl channel c homolog from Malus hupehensis, alleviates NaCl-induced cell death by inhibiting intracellular Cl– accumulation

description: Additional file 1: Data S1. The raw Ct value of 9 MhCLCs genes expression in response to NaCl analyzed by qRT-PCR. Data S2. The normalized Ct value of 9 MhCLCs genes expression in response to NaCl analyzed by qRT-PCR. Data S3. The fold_change of 9 MhCLCs genes expression in response to NaCl analyzed by qRT-PCR.
DOI: 10.6084/m9.figshare.14443248.v1
title: Additional file 11 of Microbial community structure and composition is associated with host species and sex in Sigmodon cotton rats

description: Additional file 11: Supplemental File 1. DESeq2 analysis of 16S rRNA gene sequencing data between S. fulviventer and S. hispidus across all body sites at the genus and family level.
DOI: 10.6084/m9.figshare.7103411
title: Additional file 14: of Genome-wide identification of tissue-specific long non-coding RNA in three farm animal species

description: Tissue-specific Indices of Chicken LncRNAs. The calculated tissue-specific indices (TSI) for each lncRNA in each tissue. The “TSI A” and “TSI B” columns are the TSI calculated for each biological replicate. The “TSI Both” column is the F1 score of the TSI from both replicates. F1 is calculated as (2 * A * B) / (A + B) where A is TSI A and B is TSI. The “Name” and “Location” columns give the ID and genomic location of the lncRNA, and the following columns are the FPKM values from each library. (XLSX 1551 kb)
DOI: 10.6084/m9.figshare.7103423.v1
title: Additional file 15: of Genome-wide identification of tissue-specific long non-coding RNA in three farm animal species

description: Tissue-specific Indices of Cattle LncRNAs. The calculated tissue-specific indices (TSI) for each lncRNA in each tissue. The “TSI A” and “TSI B” columns are the TSI calculated for each biological replicate. The “TSI Both” column is the F1 score of the TSI from both replicates. F1 is calculated as (2 * A * B) / (A + B) where A is TSI A and B is TSI. The “Name” and “Location” columns give the ID and genomic location of the lncRNA, and the following columns are the FPKM values from each library. (XLSX 1122 kb)
DOI: 10.6084/m9.figshare.7103429
title: Additional file 16: of Genome-wide identification of tissue-specific long non-coding RNA in three farm animal species

description: Tissue-specific Indices of Pig LncRNAs. The calculated tissue-specific indices (TSI) for each lncRNA in each tissue. The “TSI A” and “TSI B” columns are the TSI calculated for each biological replicate. The “TSI Both” column is the F1 score of the TSI from both replicates. F1 is calculated as (2 * A * B) / (A + B) where A is TSI A and B is TSI. The “Name” and “Location” columns give the ID and genomic location of the lncRNA, and the following columns are the FPKM values from each library. (XLSX 1754 kb)
DOI: 10.6084/m9.figshare.7103429.v1
title: Additional file 16: of Genome-wide identification of tissue-specific long non-coding RNA in three farm animal species

description: Tissue-specific Indices of Pig LncRNAs. The calculated tissue-specific indices (TSI) for each lncRNA in each tissue. The “TSI A” and “TSI B” columns are the TSI calculated for each biological replicate. The “TSI Both” column is the F1 score of the TSI from both replicates. F1 is calculated as (2 * A * B) / (A + B) where A is TSI A and B is TSI. The “Name” and “Location” columns give the ID and genomic location of the lncRNA, and the following columns are the FPKM values from each library. (XLSX 1754 kb)
DOI: 10.6084/m9.figshare.12344765
title: Additional file 1 of A glycolysis-based 4-mRNA signature correlates with the prognosis and cell cycle process in patients with bladder cancer

description: Additional file 1. Risk scores, expression signature scores, TP53 mutation and mRNA subtypes of bladder cancer in the TCGA cohort.
DOI: 10.6084/m9.figshare.14443263.v1
title: Additional file 14 of Microbial community structure and composition is associated with host species and sex in Sigmodon cotton rats

description: Additional file 14: Supplemental File 4. DESeq2 analysis of 16S rRNA gene sequencing data between male and female cotton rats (both S. fulviventer and S. hispidus) across all body sites at the genus and family level.
DOI: 10.6084/m9.figshare.23354491.v1
title: Additional file 6 of Lifestyle factors, metabolic factors and socioeconomic status for pelvic organ prolapse: a Mendelian randomization study

description: Additional file 6: Table S2. Characteristics of the genetic instrument variables for exposures in both the FinnGen consortium and UK Biobank.
DOI: 10.6084/m9.figshare.12344780.v1
title: Additional file 4 of A glycolysis-based 4-mRNA signature correlates with the prognosis and cell cycle process in patients with bladder cancer

description: Additional file 4. Modes of interaction in PPI network.
DOI: 10.6084/m9.figshare.12344786
title: Additional file 6 of A glycolysis-based 4-mRNA signature correlates with the prognosis and cell cycle process in patients with bladder cancer

description: Additional file 6. Basal_squamous and luminal subtypes in Stage II patients with bladder cancer in the TCGA cohort.
DOI: 10.6084/m9.figshare.14443269.v1
title: Additional file 16 of Microbial community structure and composition is associated with host species and sex in Sigmodon cotton rats

description: Additional file 16: Supplemental File 6. Proportional counts from 16S rRNA sequencing data at all levels for both cotton rat cohorts.
DOI: 10.5281/zenodo.10666873
title: MaterialsDataBase_Spoke11_WP3_MOST

description:  


Database of mechanical properties of materials studied within the Spoke11 - CNMS MOST - WP3:Light Metals
DOI: 10.5281/zenodo.8392112
title: MaterialsDataBase_Spoke11_WP3_MOST

description:  


Database of mechanical properties of materials studied within the Spoke11 - CNMS MOST - WP3:Light Metals
DOI: 10.5281/zenodo.8392113
title: MaterialsDataBase_Spoke11_WP3_MOST

description:  


Database of mechanical properties of materials studied within the Spoke11 - CNMS MOST - WP3:Light Metals
DOI: 10.6084/m9.figshare.23354392.v1
title: Additional file 1 of Multi-omics analysis reveals changes in tryptophan and cholesterol metabolism before and after sexual maturation in captive macaques

description: Additional file 1: Supplementary Table 1. All samples information and composition of feed.