cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc28yzfn
title: CCDC 2114182: Experimental Crystal Structure Determination

description: Related Article: Muhammad Danish, Ayesha Bibi, Muhammad Asam Raza, Muhammad Nadeem Arshad, Abdullah Mohamed Asiri|2022|J.Mol.Struct.|1259|132711|doi:10.1016/j.molstruc.2022.132711
DOI: 10.5517/ccdc.csd.cc28yzgp
title: CCDC 2114183: Experimental Crystal Structure Determination

description: Related Article: Muhammad Danish, Ayesha Bibi, Muhammad Asam Raza, Muhammad Nadeem Arshad, Abdullah Mohamed Asiri|2022|J.Mol.Struct.|1259|132711|doi:10.1016/j.molstruc.2022.132711
DOI: 10.5517/ccdc.csd.cc291ys3
title: CCDC 2117045: Experimental Crystal Structure Determination

description: Related Article: P. Lakshmanan, R. Arulmozhi, S. Thirumaran, S. Ciattini|2022|Polyhedron|218|115766|doi:10.1016/j.poly.2022.115766
DOI: 10.5281/zenodo.6378077
title: Processed MinION genome sequencing data for strains ILHA G3AG5 and ILHA G3AA5

description: Strain G3AA5 datasets include: Galaxy2750, Galaxy2754, Galaxy3522, Galaxy3523, Galaxy3524, Galaxy3541 Strain G3AG4 datasets include: Galaxy2404, Galaxy2408, Galaxy3517, Galaxy3518, Galaxy3519, Galaxy3539
DOI: 10.5281/zenodo.6378076
title: Processed MinION genome sequencing data for strains ILHA G3AG5 and ILHA G3AA5

description: Strain G3AA5 datasets include: Galaxy2750, Galaxy2754, Galaxy3522, Galaxy3523, Galaxy3524, Galaxy3541 Strain G3AG4 datasets include: Galaxy2404, Galaxy2408, Galaxy3517, Galaxy3518, Galaxy3519, Galaxy3539
DOI: 10.5281/zenodo.6371751
title: Reproducibility data for Yarza et al. 2022

description: Data to reproduce the results of Yarza et al. 2022 (submitted to ApJ). For the main reproducibility repository, see https://gitlab.com/ryarza/planetary-engulfment-hydro After downloading all the files, run unpack.py to extract them. The script will also put all grid2 files into the correct folder structure. As a result of size limitations, this repository contains only the hydrodynamical simulations used in the figures in the paper. Simulations at other times or for other parameters are available upon request.
DOI: 10.6084/m9.figshare.19401275
title: Mehdipour_RedDyeExchanges_Fig6.xls

description: Original derivations for the equations described in the manuscript corresponding to Figure 6. Primary data for Figure 6 is also attached.
DOI: 10.6084/m9.figshare.19401275.v1
title: Mehdipour_RedDyeExchanges_Fig6.xls

description: Original derivations for the equations described in the manuscript corresponding to Figure 6. Primary data for Figure 6 is also attached.
DOI: 10.6084/m9.figshare.19401257
title: Raw data miR34c Rangga.xlsx

description: this is the raw data of my thesis research
DOI: 10.6084/m9.figshare.19401257.v1
title: Raw data miR34c Rangga.xlsx

description: this is the raw data of my thesis research
DOI: 10.6084/m9.figshare.17825273
title: Data of trajectory optimization of dual-arm coordination based on arm angle constraint

description: Data and code of trajectory optimization of dual-arm coordination based on arm angle constraint
DOI: 10.6084/m9.figshare.17825273.v3
title: Data of trajectory optimization of dual-arm coordination based on arm angle constraint

description: Data of trajectory optimization of dual-arm coordination based on arm angle constraint
DOI: 10.6084/m9.figshare.19401278
title: Mehdipour_C3_ELISA.xls

description: Excel files for Figure 7.
DOI: 10.6084/m9.figshare.19401272
title: Game-relationship-based Remanufacturing Scheduling Model with Sequence-dependent Setup Times Using Improved Discrete Particle Swarm Algorithm

description: This is the experimental data of the manuscript entitled "Game-relationship-based Remanufacturing Scheduling Model with Sequence-dependent Setup Times Using Improved Discrete Particle Swarm Algorithm". All data are generated through computer simulation and saved in the file with csv format. The data are the simulation of the real-world case. There are twelve instances for these experiments with various scales. The information of the datasets are shown in the csv document, including the number of product categories, the number of reprocessing units, the number of reprocessing units in each remanufacturing line, energy consumption for the machine in the each state, and time for the machine in theeach state.
DOI: 10.6084/m9.figshare.19401272.v1
title: Game-relationship-based Remanufacturing Scheduling Model with Sequence-dependent Setup Times Using Improved Discrete Particle Swarm Algorithm

description: This is the experimental data of the manuscript entitled "Game-relationship-based Remanufacturing Scheduling Model with Sequence-dependent Setup Times Using Improved Discrete Particle Swarm Algorithm". All data are generated through computer simulation and saved in the file with csv format. The data are the simulation of the real-world case. There are twelve instances for these experiments with various scales. The information of the datasets are shown in the csv document, including the number of product categories, the number of reprocessing units, the number of reprocessing units in each remanufacturing line, energy consumption for the machine in the each state, and time for the machine in theeach state.
DOI: 10.34820/fk2/fmu3m7/xheuwo
title: Data Kuesioner (Dataverse).tab

description: Data Mentah Telework
DOI: 10.34820/fk2/fmu3m7
title: Faktor Telework (Flexible Working Arrangement)

description: Data Mentah Faktor Telework
DOI: 10.6084/m9.figshare.19382378
title: communications Biology-Large tables

description: tables of TECRL deficiency results in aberrant mitochondrial function in cardiomyocytes
DOI: 10.6084/m9.figshare.19382378.v1
title: communications Biology-Large tables

description: tables of TECRL deficiency results in aberrant mitochondrial function in cardiomyocytes
DOI: 10.25345/c53b5wc2f
title: MassIVE MSV000089105 - Proteomics of Alzheimer's disease synaptosomes
title: Proteomics analyses of synaptosomes in Alzheimer's disease patients and control individuals
DOI: 10.6084/m9.figshare.14999487.v1
title: Data set repositories

description: There are 10 files in this data repository. The descriptions for each file are as follows:1. Training_TCGA_203samples.txtThis is the training dataset for developing ccHPS model using 70% of TCGA-CESC cohort samples.2. Test1_TCGA_86samples.txtThis is the first validation dataset of ccHPS model using the rest of 30% of TCGA-CESC cohort samples.<br>3. Test2_CGCI-HTMCP-CC_117samples.txtThis is an indepedent validation dataset using CGCI-HTMCP-CC cohort samples.4. ccHPS_score_GPL10558.tsvccHPS score calculated for each samples in GSE72723 with array platform GPL10558.5. ccHPS_score_GPL6884.tsvccHPS score calculated for each samples in GSE72723 with array platform GPL6884.<br>6.ccHPS_score_TCGA.tsvccHPS score calculated for TCGA samples.7.ccHPS_score_CGCI-HTMCP-CC.txtccHPS score calculated for CGCI-HTMCP-CC samples.8.Differential_gene_analysis_rank_between_high_low_risk.txtThe different gene analysis result using 'limma' package between high-risk and low-risk samples.9.ESTIMATEscore.txtThe ESTIMATE score for each TCGA-CESC samples.10. tcga.drug_sensitivity_predicted_allSolidTumor.txt<br>Drug estimated IC50 of each sample.
DOI: 10.5517/ccdc.csd.cc29c0qf
title: CCDC 2125754: Experimental Crystal Structure Determination

description: Related Article: Wang Leyao, Zhang Jiarui, Bi Yingna, Zhu Liwei|2022|Inorg.Chim.Acta|536|120909|doi:10.1016/j.ica.2022.120909
DOI: 10.6084/m9.figshare.19401290
title: RNA seq data of bovine mammary epithelial cells upon IFN-γ stimulation

description: BMECs were treated with or without IFN-γ (10 ng/ mL) (Kingfisher Biotech, St. Paul, Brazil, RP0013B-100) for 24 h. Total RNA was extracted from the control BMECs (NC) and IFN-γ-treated the fifth generation BMECs (N05) and IFN-γ-treated the 20th generation BMECs (N20). The cells were washed with PBS for three times after discarded the supernatant. According to the instructions, the cells were lysed by RNAiso plus (TaKaRa, Japan) and placed at room temperature for 5 min, and chloroform was added in. After centrifugation at 12000 g, the supernatant was taken out and mixed with isopropyl alcohol in equal volume and then waited for 10 min and centrifuged. The precipitate was collected and washed with 75% ethanol, stored at − 80 °C as the total RNA. RNA-seq analysis was performed only on samples that met the manufacturer’s standards. RNA was sequenced using Illumina HiSeqTM 4000. Finally, the differentially expressed genes screened out.
DOI: 10.6084/m9.figshare.19401290.v1
title: RNA seq data of bovine mammary epithelial cells upon IFN-γ stimulation

description: BMECs were treated with or without IFN-γ (10 ng/ mL) (Kingfisher Biotech, St. Paul, Brazil, RP0013B-100) for 24 h. Total RNA was extracted from the control BMECs (NC) and IFN-γ-treated the fifth generation BMECs (N05) and IFN-γ-treated the 20th generation BMECs (N20). The cells were washed with PBS for three times after discarded the supernatant. According to the instructions, the cells were lysed by RNAiso plus (TaKaRa, Japan) and placed at room temperature for 5 min, and chloroform was added in. After centrifugation at 12000 g, the supernatant was taken out and mixed with isopropyl alcohol in equal volume and then waited for 10 min and centrifuged. The precipitate was collected and washed with 75% ethanol, stored at − 80 °C as the total RNA. RNA-seq analysis was performed only on samples that met the manufacturer’s standards. RNA was sequenced using Illumina HiSeqTM 4000. Finally, the differentially expressed genes screened out.
DOI: 10.6084/m9.figshare.19401410.v1
title: Demographic data.xlsx

description: This dataset includes four files:1) Demographic data2) Master chart for the plaque index and bleeding index3)Master chart for both the groups for all the parameters4) Percentage of root coverage calculation data
DOI: 10.6084/m9.figshare.19401716
title: Additional file 1 of Genetic diversity and signatures of selection for heat tolerance and immune response in Iranian native chickens

description: Additional file 1: Table S1: Sample information for each chicken (72 individuals) used in this study. Table S2. Chromosome-length and number of detected variants before and after filtering. Table S3. Mean number of ROHs longer than different classes (Kb).Table S4. Summary diversity results. Proportion of polymorphic SNPs (PN ), Observed heterozygosity (Ho), Expected heterozygosity (He), and average inbreeding coefficient (F) for each studied group. Table S5: Positively selected genes (top %5) identified between indigenous group and White-Leghorn identified by FST method. Table S6. Positively selected genes identified by top 1% highest log2 (θπ·Native-ecotypes/θπ·White-Leghorn). Table S7. Positively selected genes (top %5) identified by FST method between indigenous group and Arian. Table S8: Positively selected genes identified by top 1% highest log2 (θπ·Native-ecotypes/θπ·Arian). Table S9. Overrepresented GO categories among genes showing high Fst values between indigenous group and White-Leghorn. Table S10. Overrepresented GO categories among genes showing high log2 (θπ·Native-ecotypes/θπ·White-Leghorn). Table S11. Overrepresented GO categories among genes showing high Fst values (indigenous group versus Arian). Table S12. Overrepresented GO categories among genes showing high log2 (θπ·Native-ecotypes/θπ·Arian).
DOI: 10.6084/m9.figshare.19401716.v1
title: Additional file 1 of Genetic diversity and signatures of selection for heat tolerance and immune response in Iranian native chickens

description: Additional file 1: Table S1: Sample information for each chicken (72 individuals) used in this study. Table S2. Chromosome-length and number of detected variants before and after filtering. Table S3. Mean number of ROHs longer than different classes (Kb).Table S4. Summary diversity results. Proportion of polymorphic SNPs (PN ), Observed heterozygosity (Ho), Expected heterozygosity (He), and average inbreeding coefficient (F) for each studied group. Table S5: Positively selected genes (top %5) identified between indigenous group and White-Leghorn identified by FST method. Table S6. Positively selected genes identified by top 1% highest log2 (θπ·Native-ecotypes/θπ·White-Leghorn). Table S7. Positively selected genes (top %5) identified by FST method between indigenous group and Arian. Table S8: Positively selected genes identified by top 1% highest log2 (θπ·Native-ecotypes/θπ·Arian). Table S9. Overrepresented GO categories among genes showing high Fst values between indigenous group and White-Leghorn. Table S10. Overrepresented GO categories among genes showing high log2 (θπ·Native-ecotypes/θπ·White-Leghorn). Table S11. Overrepresented GO categories among genes showing high Fst values (indigenous group versus Arian). Table S12. Overrepresented GO categories among genes showing high log2 (θπ·Native-ecotypes/θπ·Arian).
DOI: 10.6084/m9.figshare.19401722
title: Additional file 1 of Development an extended-information success system model (ISSM) based on nurses’ point of view for hospital EHRs: a combined framework and questionnaire

description: Additional file 1. The list, relative frequency, and the final status of the evaluation measures.
DOI: 10.6084/m9.figshare.19401722.v1
title: Additional file 1 of Development an extended-information success system model (ISSM) based on nurses’ point of view for hospital EHRs: a combined framework and questionnaire

description: Additional file 1. The list, relative frequency, and the final status of the evaluation measures.
DOI: 10.6084/m9.figshare.19401731
title: Additional file 1 of The Xenopus phenotype ontology: bridging model organism phenotype data to human health and development

description: Additional file 1: Table S1. 13 design patterns proposed to PORE.
DOI: 10.6084/m9.figshare.19401731.v1
title: Additional file 1 of The Xenopus phenotype ontology: bridging model organism phenotype data to human health and development

description: Additional file 1: Table S1. 13 design patterns proposed to PORE.
DOI: 10.6084/m9.figshare.19401734
title: Additional file 2 of The Xenopus phenotype ontology: bridging model organism phenotype data to human health and development

description: Additional file 2: Table S2. 80 design patterns used in XPO.
DOI: 10.6084/m9.figshare.19401734.v1
title: Additional file 2 of The Xenopus phenotype ontology: bridging model organism phenotype data to human health and development

description: Additional file 2: Table S2. 80 design patterns used in XPO.
DOI: 10.6084/m9.figshare.19401737
title: Additional file 3 of The Xenopus phenotype ontology: bridging model organism phenotype data to human health and development

description: Additional file 3: Table S3. MIRO report for Xenopus phenotype ontology.
DOI: 10.6084/m9.figshare.19401737.v1
title: Additional file 3 of The Xenopus phenotype ontology: bridging model organism phenotype data to human health and development

description: Additional file 3: Table S3. MIRO report for Xenopus phenotype ontology.
DOI: 10.6084/m9.figshare.19401752
title: Additional file 2 of Metagenomics reveals global-scale contrasts in nitrogen cycling and cyanobacterial light-harvesting mechanisms in glacier cryoconite

description: Additional file 1: Table S1. Information on sampling sites and sequencing of the cryoconite samples. Table S2. Assembly status of each metagenomic sample. Table S3. Centered log-ratio transformed read abundance of the top 20 most abundant bacterial families. Table S4. Centered log-ratio transformed read abundance of the genes involved in inorganic nitrogen metabolism. Table S5. Number of metagenome-assembled genomes (MAGs) obtained from each assembly. Table S6. Assembly status and taxonomic affiliation of the metagenome-assembled genomes (MAGs) of Cyanobacteria. Table S7. Number of genes encoding phycobiliproteins and photosensor homologs for chromatic acclimation in each cyanobacterial metagenome-assembled genome (MAG).
DOI: 10.6084/m9.figshare.19401752.v1
title: Additional file 2 of Metagenomics reveals global-scale contrasts in nitrogen cycling and cyanobacterial light-harvesting mechanisms in glacier cryoconite

description: Additional file 1: Table S1. Information on sampling sites and sequencing of the cryoconite samples. Table S2. Assembly status of each metagenomic sample. Table S3. Centered log-ratio transformed read abundance of the top 20 most abundant bacterial families. Table S4. Centered log-ratio transformed read abundance of the genes involved in inorganic nitrogen metabolism. Table S5. Number of metagenome-assembled genomes (MAGs) obtained from each assembly. Table S6. Assembly status and taxonomic affiliation of the metagenome-assembled genomes (MAGs) of Cyanobacteria. Table S7. Number of genes encoding phycobiliproteins and photosensor homologs for chromatic acclimation in each cyanobacterial metagenome-assembled genome (MAG).
DOI: 10.6084/m9.figshare.19401732
title: Additional file 10 of A comparative methylome analysis reveals conservation and divergence of DNA methylation patterns and functions in vertebrates

description: Additional file 10: Table S9. Differential gene expression analysis by RNA-seq after 5-azadC treatment.
DOI: 10.6084/m9.figshare.19401732.v1
title: Additional file 10 of A comparative methylome analysis reveals conservation and divergence of DNA methylation patterns and functions in vertebrates

description: Additional file 10: Table S9. Differential gene expression analysis by RNA-seq after 5-azadC treatment.
DOI: 10.6084/m9.figshare.19401741
title: Additional file 11 of A comparative methylome analysis reveals conservation and divergence of DNA methylation patterns and functions in vertebrates

description: Additional file 11. Bioinformatic code for the prediction of imprinted DMRs.
DOI: 10.6084/m9.figshare.19401741.v1
title: Additional file 11 of A comparative methylome analysis reveals conservation and divergence of DNA methylation patterns and functions in vertebrates

description: Additional file 11. Bioinformatic code for the prediction of imprinted DMRs.
DOI: 10.6084/m9.figshare.19401744.v1
title: Additional file 12 of A comparative methylome analysis reveals conservation and divergence of DNA methylation patterns and functions in vertebrates

description: Additional file 12: Table S10. Primer sequences.
DOI: 10.6084/m9.figshare.19401744
title: Additional file 12 of A comparative methylome analysis reveals conservation and divergence of DNA methylation patterns and functions in vertebrates

description: Additional file 12: Table S10. Primer sequences.
DOI: 10.6084/m9.figshare.19401750.v1
title: Additional file 2 of A comparative methylome analysis reveals conservation and divergence of DNA methylation patterns and functions in vertebrates

description: Additional file 2: Table S1. Summary of WGBS sequencing statistics.
DOI: 10.6084/m9.figshare.19401750
title: Additional file 2 of A comparative methylome analysis reveals conservation and divergence of DNA methylation patterns and functions in vertebrates

description: Additional file 2: Table S1. Summary of WGBS sequencing statistics.
DOI: 10.6084/m9.figshare.19401753
title: Additional file 3 of A comparative methylome analysis reveals conservation and divergence of DNA methylation patterns and functions in vertebrates

description: Additional file 3: Table S2. Summary of RRBS sequencing statistics.
DOI: 10.6084/m9.figshare.19401753.v1
title: Additional file 3 of A comparative methylome analysis reveals conservation and divergence of DNA methylation patterns and functions in vertebrates

description: Additional file 3: Table S2. Summary of RRBS sequencing statistics.
DOI: 10.6084/m9.figshare.19401756
title: Additional file 4 of A comparative methylome analysis reveals conservation and divergence of DNA methylation patterns and functions in vertebrates

description: Additional file 4: Table S3. Gene ontology analysis of DMVs.
DOI: 10.6084/m9.figshare.19401756.v1
title: Additional file 4 of A comparative methylome analysis reveals conservation and divergence of DNA methylation patterns and functions in vertebrates

description: Additional file 4: Table S3. Gene ontology analysis of DMVs.
DOI: 10.6084/m9.figshare.19401759
title: Additional file 5 of A comparative methylome analysis reveals conservation and divergence of DNA methylation patterns and functions in vertebrates

description: Additional file 5: Table S4. Table of predicted imprinted DMRs.
DOI: 10.6084/m9.figshare.19401759.v1
title: Additional file 5 of A comparative methylome analysis reveals conservation and divergence of DNA methylation patterns and functions in vertebrates

description: Additional file 5: Table S4. Table of predicted imprinted DMRs.
DOI: 10.6084/m9.figshare.19401762
title: Additional file 6 of A comparative methylome analysis reveals conservation and divergence of DNA methylation patterns and functions in vertebrates

description: Additional file 6: Table S5. Table of enriched motifs in predicted imprinted DMRs.
DOI: 10.6084/m9.figshare.19401762.v1
title: Additional file 6 of A comparative methylome analysis reveals conservation and divergence of DNA methylation patterns and functions in vertebrates

description: Additional file 6: Table S5. Table of enriched motifs in predicted imprinted DMRs.
DOI: 10.6084/m9.figshare.19401765
title: Additional file 7 of A comparative methylome analysis reveals conservation and divergence of DNA methylation patterns and functions in vertebrates

description: Additional file 7: Table S6. Summary of RNA-seq sequencing statistics.
DOI: 10.6084/m9.figshare.19401765.v1
title: Additional file 7 of A comparative methylome analysis reveals conservation and divergence of DNA methylation patterns and functions in vertebrates

description: Additional file 7: Table S6. Summary of RNA-seq sequencing statistics.
DOI: 10.6084/m9.figshare.19401768
title: Additional file 8 of A comparative methylome analysis reveals conservation and divergence of DNA methylation patterns and functions in vertebrates

description: Additional file 8: Table S7. Gene ontology analysis of methylated CpG-rich promoters.
DOI: 10.6084/m9.figshare.19401768.v1
title: Additional file 8 of A comparative methylome analysis reveals conservation and divergence of DNA methylation patterns and functions in vertebrates

description: Additional file 8: Table S7. Gene ontology analysis of methylated CpG-rich promoters.
DOI: 10.6084/m9.figshare.19401771
title: Additional file 9 of A comparative methylome analysis reveals conservation and divergence of DNA methylation patterns and functions in vertebrates

description: Additional file 9: Table S8. List of 'gg dko' orthologs in each species.
DOI: 10.6084/m9.figshare.19401771.v1
title: Additional file 9 of A comparative methylome analysis reveals conservation and divergence of DNA methylation patterns and functions in vertebrates

description: Additional file 9: Table S8. List of 'gg dko' orthologs in each species.
DOI: 10.6084/m9.figshare.19401804
title: Additional file 6 of What is the effect on antibiotic resistant genes of chlorine disinfection in drinking water supply systems? A systematic review protocol

description: Additional file 6. Study validity assessment.
DOI: 10.6084/m9.figshare.19401804.v1
title: Additional file 6 of What is the effect on antibiotic resistant genes of chlorine disinfection in drinking water supply systems? A systematic review protocol

description: Additional file 6. Study validity assessment.
DOI: 10.6084/m9.figshare.19401807
title: Additional file 7 of What is the effect on antibiotic resistant genes of chlorine disinfection in drinking water supply systems? A systematic review protocol

description: Additional file 7. Data coding and extraction strategy.
DOI: 10.6084/m9.figshare.19401807.v1
title: Additional file 7 of What is the effect on antibiotic resistant genes of chlorine disinfection in drinking water supply systems? A systematic review protocol

description: Additional file 7. Data coding and extraction strategy.
DOI: 10.6084/m9.figshare.19401857
title: Additional file 1 of Starvation causes changes in the intestinal transcriptome and microbiome that are reversed upon refeeding

description: Additional file 1.