cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.34820/fk2/rxiywv/bxpzf9
title: Hilmawan Taufiq YUME Journal of Management.docx

description: This research is to find out the influence of competence and remuneration on the performance of employees of the archival office and indramayu district library. The purpose of this research is to know and analyze the competencies that employees have, know how remuneration is given to employees, know the picture of employee performance and know how the effect of competence and remuneration on employee performance. The type of research used is descriptive and causal with quantitative methods. The data collected in this study is primary data and secondary data. The sampling technique in this study is a saturated sample, where the number of samples used is 42 people. The statistical analysis method used is a double linear method. The data analysis used is descriptive analysis, classical assumption test and multiple linear analysis. Based on the results of the study, it is known that competence falls into the category of excellent, remuneration belongs to the category of very good. Partially competence has a significant effect on employee performance and partially remuneration has a significant effect on employee performance. Simultaneously competence and remuneration have a positive and significant effect on employee performance.
DOI: 10.34820/fk2/rxiywv
title: Pengaruh Kompetensi dan Remunerasi terhadap Kinerja Karyawan Dinas Kearsipan dan Perpustakaan Kabupaten Indramayu

description: This research is to find out the influence of competence and remuneration on the performance of employees of the archival office and indramayu district library. The purpose of this research is to know and analyze the competencies that employees have, know how remuneration is given to employees, know the picture of employee performance and know how the effect of competence and remuneration on employee performance. The type of research used is descriptive and causal with quantitative methods. The data collected in this study is primary data and secondary data. The sampling technique in this study is a saturated sample, where the number of samples used is 42 people. The statistical analysis method used is a double linear method. The data analysis used is descriptive analysis, classical assumption test and multiple linear analysis. Based on the results of the study, it is known that competence falls into the category of excellent, remuneration belongs to the category of very good. Partially competence has a significant effect on employee performance and partially remuneration has a significant effect on employee performance. Simultaneously competence and remuneration have a positive and significant effect on employee performance.
DOI: 10.6084/m9.figshare.20131159.v1
title: Additional file 1 of Medicinal plants used to treat livestock ailments in Ensaro District, North Shewa Zone, Amhara Regional State, Ethiopia

description: Additional file 1.
DOI: 10.6084/m9.figshare.20131159
title: Additional file 1 of Medicinal plants used to treat livestock ailments in Ensaro District, North Shewa Zone, Amhara Regional State, Ethiopia

description: Additional file 1.
DOI: 10.6084/m9.figshare.20131162
title: Additional file 2 of Medicinal plants used to treat livestock ailments in Ensaro District, North Shewa Zone, Amhara Regional State, Ethiopia

description: Additional file 2.
DOI: 10.6084/m9.figshare.20131162.v1
title: Additional file 2 of Medicinal plants used to treat livestock ailments in Ensaro District, North Shewa Zone, Amhara Regional State, Ethiopia

description: Additional file 2.
DOI: 10.6084/m9.figshare.20131192
title: Additional file 1 of Many kinds of oxidized proteins are present more in the urine of the elderly

description: Additional file 1. Table S1. Detailed information of individuals. Table S2. The proportion of modifications occurring at each amino acid. Table S3. Differences and statistics of oxidations and AA modifications between different groups. Table S4. ROC performance parameters and Delong test in the discovery cohort. Table S5. Random grouping calculation results in 14 modifications. Table S6. ROC performance parameters and Delong test in validation cohort. Table S7. The urine sample processing methods of the published studies in the literature, and the comparison with this method. Table S8. The urine sample data collection methods of published studies in the literature and compares them with our method. Fig. S1. Oxidative proteins PPI analysis and gene functional analysis using STRING. Fig. S2. Functional profiling of each protein set was conducted using the GO, KEGG and WikiPathways databases. Fig. S3. The differentially expressed proteins overlap between each group. Fig. S4. O-Y-David. BF, MF, CC, and KEGG by David and gene functional analysis by g:Profiler. Fig. S5. O-M-David. BF,MF,CC, and KEGG by David and gene functional analysis by g:Profiler. Fig. S6. PFind parameters setting (Open-search). Fig. S7. a. A illustration of the definition of Species and Sites. As for any modification, “sites” means the quantity of all sites where modifications occur, “species” refers to the type of peptide that is modified. b. Schematic representation of the comparison between the significant modifications via “sites” and “species” aging urinary proteomes. Supplementary site calculate method code: The program codes to extract this information from the “pd.all_result” document.
DOI: 10.6084/m9.figshare.20131192.v1
title: Additional file 1 of Many kinds of oxidized proteins are present more in the urine of the elderly

description: Additional file 1. Table S1. Detailed information of individuals. Table S2. The proportion of modifications occurring at each amino acid. Table S3. Differences and statistics of oxidations and AA modifications between different groups. Table S4. ROC performance parameters and Delong test in the discovery cohort. Table S5. Random grouping calculation results in 14 modifications. Table S6. ROC performance parameters and Delong test in validation cohort. Table S7. The urine sample processing methods of the published studies in the literature, and the comparison with this method. Table S8. The urine sample data collection methods of published studies in the literature and compares them with our method. Fig. S1. Oxidative proteins PPI analysis and gene functional analysis using STRING. Fig. S2. Functional profiling of each protein set was conducted using the GO, KEGG and WikiPathways databases. Fig. S3. The differentially expressed proteins overlap between each group. Fig. S4. O-Y-David. BF, MF, CC, and KEGG by David and gene functional analysis by g:Profiler. Fig. S5. O-M-David. BF,MF,CC, and KEGG by David and gene functional analysis by g:Profiler. Fig. S6. PFind parameters setting (Open-search). Fig. S7. a. A illustration of the definition of Species and Sites. As for any modification, “sites” means the quantity of all sites where modifications occur, “species” refers to the type of peptide that is modified. b. Schematic representation of the comparison between the significant modifications via “sites” and “species” aging urinary proteomes. Supplementary site calculate method code: The program codes to extract this information from the “pd.all_result” document.
DOI: 10.6084/m9.figshare.20131204
title: Additional file 2 of Maternal epigenetic clocks measured during pregnancy do not predict gestational age at delivery or offspring birth outcomes: a replication study in metropolitan Cebu, Philippines

description: Additional file 2. Full model estimates for the relationship between maternal epigenetic age and gestation age and offspring post-natal weight. Estimates for models including birth order, cell count estimates, and batch, chip, and row are also provided.
DOI: 10.6084/m9.figshare.20131204.v1
title: Additional file 2 of Maternal epigenetic clocks measured during pregnancy do not predict gestational age at delivery or offspring birth outcomes: a replication study in metropolitan Cebu, Philippines

description: Additional file 2. Full model estimates for the relationship between maternal epigenetic age and gestation age and offspring post-natal weight. Estimates for models including birth order, cell count estimates, and batch, chip, and row are also provided.
DOI: 10.6084/m9.figshare.20131222
title: Additional file 1 of The objectives and instructional design of undergraduate endodontic program: multicenter cross-sectional study in Saudi Arabia

description: Additional file 1.
DOI: 10.6084/m9.figshare.20131222.v1
title: Additional file 1 of The objectives and instructional design of undergraduate endodontic program: multicenter cross-sectional study in Saudi Arabia

description: Additional file 1.
DOI: 10.6084/m9.figshare.20131225.v1
title: Additional file 2 of The objectives and instructional design of undergraduate endodontic program: multicenter cross-sectional study in Saudi Arabia

description: Additional file 2.
DOI: 10.6084/m9.figshare.20131225
title: Additional file 2 of The objectives and instructional design of undergraduate endodontic program: multicenter cross-sectional study in Saudi Arabia

description: Additional file 2.
DOI: 10.5281/zenodo.6695486
title: 068c35e7-6105-456b-bd0e-203fd21b5a13

description: These data sets are one of the workflows in sapporo-wes/yevis-release-test.
DOI: 10.5281/zenodo.6695485
title: 068c35e7-6105-456b-bd0e-203fd21b5a13

description: These data sets are one of the workflows in sapporo-wes/yevis-release-test.
DOI: 10.5281/zenodo.6695117
title: Non-genetically-based intraspecific differentiation for heavy metal tolerance in the copper moss Scopelophila cataractae

description: We used next-generation sequencing to study DNA methylation and gene expression changes in plants from four clonal populations of the metallophyte moss <em>Scopelophila cataractae</em> experimentally exposed to either Cd or Cu. For this we performed reduced representation bisulfite DNA sequencing and RNA sequencing.
DOI: 10.5281/zenodo.5776914
title: Non-genetically-based intraspecific differentiation for heavy metal tolerance in the copper moss Scopelophila cataractae

description: We used next-generation sequencing to study DNA methylation and gene expression changes in plants from four clonal populations of the metallophyte moss <em>Scopelophila cataractae</em> experimentally exposed to either Cd or Cu. For this we performed reduced representation bisulfite DNA sequencing and RNA sequencing.
DOI: 10.6084/m9.figshare.19474316.v1
title: Fern Tree of Life (FTOL) input data

description: The data included here are used in a pipeline that (mostly) automatically generates a maximally sampled fern phylogenetic tree (fern tree of life; "FTOL") based on plastid sequences in GenBank (https://github.com/fernphy/ftol).<br><br>The first step is to generate a set of reference FASTA files for 79 target loci (one per locus; ref_aln.tar.gz). These include 77 protein-coding genes based on a list of 83 genes (Wei et al. 2017) that was filtered to only genes that show no evidence of duplication (target_coding_genes.txt), plus two spacer regions (trnL-trnF and rps4-trnS). Each FASTA file in ref_aln.tar.gz includes one representative (longest) sequence per avaialable fern genus. This is done with custom R scripts contained in https://github.com/fernphy/ftol, in particular prep_ref_seqs_plan.R (https://github.com/fernphy/ftol/blob/main/prep_ref_seqs_plan.R).<br><br>Next, all available fern accessions for seven target “Sanger loci” (plastid regions typically sequenced using Sanger technology) and all available fern plastomes (accessions &gt;7000 bp) are downloaded from GenBank. Non-fern accessions listed in plastome_outgroups.csv are downloaded as well. Sequences matching the target loci are then extracted from each accesion using the FASTA files contained in ref_aln.tar.gz as references with the “Reference_Blast_Extract.py” script of superCRUNCH (Portik and Wiens 2020). Any accessions matching those listed in accs_exclude.csv are excluded as putative rogues (i.e., misidentifications or contaminations).<br><br>The extracted sequences are aligned with MAFFT (Katoh et al. 2002), phylogenetic analysis is done using IQ-TREE (Nguyen et al. 2015) and divergence times estimated with treePL (Smith and O’Meara 2012). During molecular dating, equisetum_subgenera.csv is used to specify some clades within Equisetum whose ages are constrained by fossils, and ppgi_taxonomy_mod.csv is used to map higher-level clade names (e.g., family, order, etc.) to species (tips of the phylogeny).<br><br>For additional methodological details and references, see the README file included in this dataset and this paper:<br><br>Nitta JH, Schuettpelz E, Ramírez-Barahona S, Iwasaki W. 2022. An open and continuously updated fern tree of life (FTOL).<br>
DOI: 10.6084/m9.figshare.20131285.v1
title: Additional file 10 of Genomic analysis provides novel insights into diversification and taxonomy of Allorhizobium vitis (i.e. Agrobacterium vitis)

description: Additional file 10: Table S5. Pairwise ANIb values between tartrate utilization (TAR) regions of All. vitis species complex strains.
DOI: 10.6084/m9.figshare.20131288
title: Additional file 11 of Genomic analysis provides novel insights into diversification and taxonomy of Allorhizobium vitis (i.e. Agrobacterium vitis)

description: Additional file 11: Table S6. Tartrate utilization (TAR) region genotype and tartrate metabolism phenotype (production of alkali from L-tartaric acid) of All. vitis species complex strains.
DOI: 10.6084/m9.figshare.20131285
title: Additional file 10 of Genomic analysis provides novel insights into diversification and taxonomy of Allorhizobium vitis (i.e. Agrobacterium vitis)

description: Additional file 10: Table S5. Pairwise ANIb values between tartrate utilization (TAR) regions of All. vitis species complex strains.
DOI: 10.6084/m9.figshare.20131291.v1
title: Additional file 12 of Genomic analysis provides novel insights into diversification and taxonomy of Allorhizobium vitis (i.e. Agrobacterium vitis)

description: Additional file 12: Table S7. Pairwise OGRI comparisons amongst 69 Rhizobiaceae strain genomes towards genus delimitation. a) Average amino acid identity (AAI). b) percentage of conserved proteins (POCP). c) genome-wide average nucleotide identity (gANI) and alignment fraction (AF), with AF values indicated in parentheses.
DOI: 10.6084/m9.figshare.20131288.v1
title: Additional file 11 of Genomic analysis provides novel insights into diversification and taxonomy of Allorhizobium vitis (i.e. Agrobacterium vitis)

description: Additional file 11: Table S6. Tartrate utilization (TAR) region genotype and tartrate metabolism phenotype (production of alkali from L-tartaric acid) of All. vitis species complex strains.
DOI: 10.6084/m9.figshare.20131291
title: Additional file 12 of Genomic analysis provides novel insights into diversification and taxonomy of Allorhizobium vitis (i.e. Agrobacterium vitis)

description: Additional file 12: Table S7. Pairwise OGRI comparisons amongst 69 Rhizobiaceae strain genomes towards genus delimitation. a) Average amino acid identity (AAI). b) percentage of conserved proteins (POCP). c) genome-wide average nucleotide identity (gANI) and alignment fraction (AF), with AF values indicated in parentheses.
DOI: 10.6084/m9.figshare.20131312
title: Additional file 6 of Genomic analysis provides novel insights into diversification and taxonomy of Allorhizobium vitis (i.e. Agrobacterium vitis)

description: Additional file 6: Table S1. List of additional strains and GenBank/EMBL/DDBJ accession numbers for their nucleotide sequences used in this study. a) List of 55 reference Rhizobiaceae strains and GenBank/EMBL/DDBJ accession numbers for their nucleotide sequences used in this study. b) List of additional 34 All. vitis species complex strains and GenBank/EMBL/DDBJ accession numbers for their nucleotide sequences used in this study. Although available in the public nucleotide sequence databases, these genome sequences have not yet been presented in peer-reviewed study by sequence depositors.
DOI: 10.6084/m9.figshare.20131312.v1
title: Additional file 6 of Genomic analysis provides novel insights into diversification and taxonomy of Allorhizobium vitis (i.e. Agrobacterium vitis)

description: Additional file 6: Table S1. List of additional strains and GenBank/EMBL/DDBJ accession numbers for their nucleotide sequences used in this study. a) List of 55 reference Rhizobiaceae strains and GenBank/EMBL/DDBJ accession numbers for their nucleotide sequences used in this study. b) List of additional 34 All. vitis species complex strains and GenBank/EMBL/DDBJ accession numbers for their nucleotide sequences used in this study. Although available in the public nucleotide sequence databases, these genome sequences have not yet been presented in peer-reviewed study by sequence depositors.
DOI: 10.6084/m9.figshare.20131318
title: Additional file 8 of Genomic analysis provides novel insights into diversification and taxonomy of Allorhizobium vitis (i.e. Agrobacterium vitis)

description: Additional file 8: Table S3. Pairwise ANIb comparisons amongst extended set of All. vitis species complex strain genomes towards species delimitation. Additionally, reference Rhizobiaceae strains were also included.
DOI: 10.6084/m9.figshare.20131321.v1
title: Additional file 9 of Genomic analysis provides novel insights into diversification and taxonomy of Allorhizobium vitis (i.e. Agrobacterium vitis)

description: Additional file 9: Table S4. Clusters of contiguous clade-specific genes. Clusters were identified amongst sets of genes deemed specific of the focal clade based on detection by either Pantagruel or GET_HOMOLOGUES pipelines. a) Clusters of genes specific to All. vitis species complex (present in all All. vitis sensu stricto, All. ampelinum and Allorhizobium sp. Av2, and in no other Allorhizobium spp.). b) Clusters of genes specific to All. vitis sensu stricto (present in all five tested strains and in none of All. ampelinum). c) Clusters of genes specific to All. ampelinum (present in all eight tested strains and in none of All. vitis sensu stricto).
DOI: 10.5281/zenodo.6686837
title: PRJNA311274 gVCFs part 2

description: Sequencing reads were aligned to the Amel_HAv3.1 reference genome using BWA-MEM v0.7.17. Reads were sorted with SAMtools v1.9 and duplicates marked (MarkDuplicates) with GATK v4.0.11.0. Variants for each sample were called using GATK’s HaplotypeCaller with the following non-default parameters --ERC GVCF, --sample-ploidy 1 and -A AlleleFraction. This dataset comprises the gVCF files for a subset of samples belonging to project accession: PRJNA311274.
DOI: 10.5281/zenodo.6686836
title: PRJNA311274 gVCFs part 2

description: Sequencing reads were aligned to the Amel_HAv3.1 reference genome using BWA-MEM v0.7.17. Reads were sorted with SAMtools v1.9 and duplicates marked (MarkDuplicates) with GATK v4.0.11.0. Variants for each sample were called using GATK’s HaplotypeCaller with the following non-default parameters --ERC GVCF, --sample-ploidy 1 and -A AlleleFraction. This dataset comprises the gVCF files for a subset of samples belonging to project accession: PRJNA311274.
DOI: 10.5281/zenodo.6685810
title: BIM4EEB Demonstration building BIM Model

description: BIM4EEB Demonstration building BIM Model. The model contains only external perimeter walls, structural geometry, and common public spaces, The internal layout of the apartments is undesclosed for privacy reasons.
DOI: 10.5281/zenodo.6685671
title: BIM4EEB Demonstration building BIM Model

description: BIM4EEB Demonstration building BIM Model. The model contains only external perimeter walls, structural geometry, and common public spaces, The internal layout of the apartments is undesclosed for privacy reasons.
DOI: 10.6084/m9.figshare.20131405.v1
title: R code from Telomere length correlates with physiological and behavioural responses of a long-lived seabird to an ecologically relevant challenge

description: R code used for statistical analyses and Figs 2-4
DOI: 10.6084/m9.figshare.20131405
title: R code from Telomere length correlates with physiological and behavioural responses of a long-lived seabird to an ecologically relevant challenge

description: R code used for statistical analyses and Figs 2-4
DOI: 10.6084/m9.figshare.20130824
title: metadata of glaciers in global major glacier ecosystems and environmental variables of study sites across various habitats

description: A global database including globally major glacier ecosystems across seven contrasting habitats, including water, epilithic biofilm, cryoconite, mat, ice, sediment and permafrost soil.
DOI: 10.6084/m9.figshare.20130824.v1
title: metadata of glaciers in global major glacier ecosystems and environmental variables of study sites across various habitats

description: A global database including globally major glacier ecosystems across seven contrasting habitats, including water, epilithic biofilm, cryoconite, mat, ice, sediment and permafrost soil.
DOI: 10.5281/zenodo.6695771
title: FORM: A Dataset for Driver Monitoring System

description: The dataset is categorized into four classes (forward, on_phonecall, rotated, mobile_usage,) depending on the driver’s head position.
DOI: 10.5281/zenodo.6695770
title: FORM: A Dataset for Driver Monitoring System

description: The dataset is categorized into four classes (forward, on_phonecall, rotated, mobile_usage,) depending on the driver’s head position.
DOI: 10.34740/kaggle/ds/2287895
title: EDA terrorism
DOI: 10.17179/excli2022-5029/supplementary_data
title: Integrated bioinformatics analysis reveals that EZH2-rich domains promote transcriptional repression in cervical cancer

description: Cervical cancer is the third female cancer most common worldwide. The carcinogenic process involves an alteration of the mechanisms associated with transcription. Several studies have reported an oncogenic role of the polycomb complex subunit, EZH2. However, the role of EZH2 in cervical cancer is unknown. Hence, the objective of this study was to determine the role of EZH2 in transcriptional regulation in cervical cancer. The EZH2 expression and the methylation status of its promoter were analyzed in The Cancer Genome Atlas. The EZH2 enrichment profile was analyzed using chromatin immunoprecipitation with massively parallel DNA sequencing data provided by ENCODE project. The chromatin compartments were identified in the 4D Nucleome Data Portal. The functional annotation was examined in Enrichr. We report that EZH2 expression is increased in cervical cancer which is associated with hypomethylation of its promoter. EZH2 is enriched at promoter and distal intergenic regions. We identified that EZH2 defines chromatin domains enriched with H3K27me3 within repressive compartments in the HeLa-S3 cell line. Additionally, high EZH2 expression is associated with the repression of the senescent phenotype in cervical cancer patients. Our results suggest the participation of EZH2 in the generation of domains with a silencer function in cervical cancer, which regulate the expression of genes associated with cellular senescence.
description: EXCLI Journal; 21:Doc852; ISSN 1611-2156
DOI: 10.6084/m9.figshare.20070918
title: Additional file 1 of Oral health status and its associated factors among post-stroke inpatients: a cross-sectional study in Hungary

description: Additional file 1: Socio-demographic factors associated with dental status.
DOI: 10.6084/m9.figshare.20070918.v1
title: Additional file 1 of Oral health status and its associated factors among post-stroke inpatients: a cross-sectional study in Hungary

description: Additional file 1: Socio-demographic factors associated with dental status.
DOI: 10.6084/m9.figshare.20070921
title: Additional file 2 of Oral health status and its associated factors among post-stroke inpatients: a cross-sectional study in Hungary

description: Additional file 2: Association between stroke type and dental status.
DOI: 10.6084/m9.figshare.20070921.v1
title: Additional file 2 of Oral health status and its associated factors among post-stroke inpatients: a cross-sectional study in Hungary

description: Additional file 2: Association between stroke type and dental status.