cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.13278612
title: Additional file 2 of Genome-scale CRISPR screening at high sensitivity with an empirically designed sgRNA library

description: Additional file 2: Table S1. Annotated sgRNA sequences of the HD CRISPR Library.
DOI: 10.6084/m9.figshare.13278606
title: Additional file 16 of Genome-scale CRISPR screening at high sensitivity with an empirically designed sgRNA library

description: Additional file 16: Table S4. siRNA sequences of siRNAs used in this study.
DOI: 10.6084/m9.figshare.13280166.v1
title: Supplementary Material 9 RUNBUMPER from An improved statistical approach for reconstructing past climates from biotic assemblages

description: It is a zip file containing essential data and codes to reproduce BUMPER results we used to compare our method with.
DOI: 10.6084/m9.figshare.13279977.v1
title: Additional file 1 of Differential expression of microRNAs in the hippocampi of male and female rodents after chronic alcohol administration

description: Additional file 1: Supplementary Table 1.
DOI: 10.6084/m9.figshare.13279964.v1
title: Additional file 7 of Genome-wide identification of Azospirillum brasilense Sp245 small RNAs responsive to nitrogen starvation and likely involvement in plant-microbe interactions

description: Details of Sixteen sRNAs validated by qRT-PCR based differential expression analysis.
DOI: 10.6084/m9.figshare.13279961.v1
title: Additional file 6 of Genome-wide identification of Azospirillum brasilense Sp245 small RNAs responsive to nitrogen starvation and likely involvement in plant-microbe interactions

description: Details of the 14 sRNAs with no InterProScan hits and their respective mRNA target categories and scores.
DOI: 10.6084/m9.figshare.13279958.v1
title: Additional file 5 of Genome-wide identification of Azospirillum brasilense Sp245 small RNAs responsive to nitrogen starvation and likely involvement in plant-microbe interactions

description: Details of the targets predicted for the 59 significantly expressed sRNAs. The table highlights target details and score for each category of targets for all sRNAs as well as upregulated/downregulated target mRNA details.
DOI: 10.6084/m9.figshare.13279955.v1
title: Additional file 4 of Genome-wide identification of Azospirillum brasilense Sp245 small RNAs responsive to nitrogen starvation and likely involvement in plant-microbe interactions

description: Motifs, promoters and terminators predicted for the 59 significantly differentially expressed sRNAs.
DOI: 10.6084/m9.figshare.13279949.v1
title: Additional file 2 of Genome-wide identification of Azospirillum brasilense Sp245 small RNAs responsive to nitrogen starvation and likely involvement in plant-microbe interactions

description: Worksheets showing details of the curated, 3860 candidate sRNAs differentially expressed between samples VC and VN, |the 468 candidate sRNAs that conform to the size requirement of 50-500 bp and the 59 candidate sRNAs from the 468 sRNAs that are significantly, differentially expressed between samples VC and VN.
DOI: 10.6084/m9.figshare.13279931.v1
title: Additional file 1 of Evaluation of a community-based intervention for health and economic empowerment of marginalized women in India

description: Additional file 1: Supplementary Figure 1. The cover page and the table of contents’ page in the flipbook for beneficiaries. The table of contents displays the name of the 7 topics covered in the flipbook. The flipbook is in Hindi (local language). The instructions of how to use the book are shown behind the covers page. The image depicted above was developed by us. Supplementary Figure 2. The cover page and the table of contents’ page in the module. The table of contents displays the name of the 10 sessions in the module. The module is in Hindi (local language). The image depicted above was developed by us. Supplementary Figure 3. Progress tracking chart of the intervention activities across three intervals of the project (first 15 months, middle 12 months and last 8 months).
DOI: 10.6084/m9.figshare.13279530.v1
title: Additional file 3 of Transcriptomic profiling of adipose tissue inflammation, remodeling, and lipid metabolism in periparturient dairy cows (Bos taurus)

description: Additional file 3.
DOI: 10.6084/m9.figshare.13279526.v1
title: Additional file 2 of Chd8 mutation in oligodendrocytes alters microstructure and functional connectivity in the mouse brain

description: Additional file 2: Table S2. This file contains raw data and detailed information for correlation analysis.
DOI: 10.6084/m9.figshare.13279524.v1
title: Additional file 2 of Transcriptomic profiling of adipose tissue inflammation, remodeling, and lipid metabolism in periparturient dairy cows (Bos taurus)

description: Additional file 2.
DOI: 10.6084/m9.figshare.13279515.v1
title: Additional file 3 of Dynamic changes in chromatin accessibility, altered adipogenic gene expression, and total versus de novo fatty acid synthesis in subcutaneous adipose stem cells of normal-weight polycystic ovary syndrome (PCOS) women during adipogenesis: evidence of cellular programming

description: Additional file 3: Additional tables with data from ATAC-seq. Supplemental Table 1. Details of each differentially accessible region at each time point for each patient sample. C and P denotes control and PCOS sample, respectively. Roman numerals denote duplicate samples of each female type. Arabic numerals denote time point. Supplemental Table 2. Results from HOMER transcription factor motif enrichment analysis of differentially accessible regions. Supplemental Table 3. Results from GREAT pathway analysis of differentially accessible regions in PCOS versus control at day 3. Supplemental Table 4. Statistics of ATAC-seq read trimming.
DOI: 10.6084/m9.figshare.13279502.v1
title: Additional file 1 of Emotion regulation through bifocal processing of fear inducing and disgust inducing stimuli

description: Additional file 1: Table S1. Results from whole-brain analysis at an FWE-corrected p Neutral, Disgust &gt; Neutral, and from exploratory whole-brain analysis at p
DOI: 10.6084/m9.figshare.13279415.v1
title: Additional file 4 of Remotely assessing tephra fall building damage and vulnerability: Kelud Volcano, Indonesia

description: Additional file 4.
DOI: 10.6084/m9.figshare.13279412.v1
title: Additional file 3 of Remotely assessing tephra fall building damage and vulnerability: Kelud Volcano, Indonesia

description: Additional file 3.
DOI: 10.6084/m9.figshare.13279406.v1
title: Additional file 2 of Remotely assessing tephra fall building damage and vulnerability: Kelud Volcano, Indonesia

description: Additional file 2.
DOI: 10.6084/m9.figshare.13279403.v1
title: Additional file 1 of Remotely assessing tephra fall building damage and vulnerability: Kelud Volcano, Indonesia

description: Additional file 1.
DOI: 10.6084/m9.figshare.13279397.v1
title: Additional file 9 of In silico identification of effector proteins from generalist herbivore Spodoptera litura

description: Additional file 9: Table S8. Primers used for RT-PCR of highly expressed genes in head and salivary gland.
DOI: 10.6084/m9.figshare.13279394.v1
title: Additional file 8 of In silico identification of effector proteins from generalist herbivore Spodoptera litura

description: Additional file 8: Table S7. Annotation summary of potential effector proteins (based of Arabidopsis fed S. litura).
DOI: 10.6084/m9.figshare.13279391.v1
title: Additional file 7 of In silico identification of effector proteins from generalist herbivore Spodoptera litura

description: Additional file 7: Table S6. List of proteins functionally annotated to Nr database but with no Pfam domain.
DOI: 10.6084/m9.figshare.13279388.v1
title: Additional file 6 of In silico identification of effector proteins from generalist herbivore Spodoptera litura

description: Additional file 6: Table S5. Proteins with interesting functions annotated to Pfam and Nr database.
DOI: 10.6084/m9.figshare.13279385.v1
title: Additional file 5 of In silico identification of effector proteins from generalist herbivore Spodoptera litura

description: Additional file 5: Table S4. The Pfam domains found in the head and salivary gland transcriptome.
DOI: 10.6084/m9.figshare.13279382.v1
title: Additional file 4 of In silico identification of effector proteins from generalist herbivore Spodoptera litura

description: Additional file 4: Table S3. The list of KEGG pathways.
DOI: 10.6084/m9.figshare.13279379.v1
title: Additional file 3 of In silico identification of effector proteins from generalist herbivore Spodoptera litura

description: Additional file 3: Table S2. Annotation summary of potential effector proteins (based of reference genome).
DOI: 10.6084/m9.figshare.13279376.v1
title: Additional file 2 of In silico identification of effector proteins from generalist herbivore Spodoptera litura

description: Additional file 2: Table S1. Annotation summary of potential effector proteins.
DOI: 10.6084/m9.figshare.13279340.v1
title: Additional file 1 of Assessing the routine-practice gap for home blood pressure monitoring among Chinese adults with hypertension

description: Additional file 1. Home BP monitor ownership and measurement of a structured questionnaire developed for this study and independent determinants of controlled office BP among treated hypertensive sample. The survey instrument used in the study to assess home BP monitor and routine-practice of HBPM among Chinese adults with hypertension. Table S1. Home BP monitor ownership and routine practice of HBPM survey. The questions and possible responses used in the assessment of home BP monitor ownership, HBPM weekly and optimal HBP monitoring behavior. Table S2. Health care providers’ HBPM practice survey. The data used to assess the value of health care providers on HBPM and the application of HBPM readings for treatment adjustment. Table S3. Physical examination. The data used in the assessment of overweight or obesity and control of office blood pressure. Table S4. Summary of independent determinants of office BP control. OR and 95% CI indicated the correlation between HBPM weekly or other factors and controlled office BP among treated hypertensive patients.
DOI: 10.6084/m9.figshare.13279307.v1
title: Additional file 17 of Definition of constitutive and stage-enriched promoters in the rodent malaria parasite, Plasmodium yoelii

description: Additional File 17: Alignments of the promoter sequences between P. yoelii and P. berghei or P. chabaudi. Alignments of these sequences were conducted using the blastn tool embedded in PlasmoDB.org.
DOI: 10.6084/m9.figshare.13279200.v1
title: Additional file 4 of VALENCIA: a nearest centroid classification method for vaginal microbial communities based on composition

description: Additional file 4. Table S1
DOI: 10.6084/m9.figshare.13279190.v1
title: Additional file 1 of Potential factors that influence usage of complementary and alternative medicine worldwide: a systematic review

description: Additional file 1. Risk of bias.
DOI: 10.6084/m9.figshare.13279167.v1
title: Additional file 7 of Distinct microbial assemblages associated with genetic selection for high- and low- muscle yield in rainbow trout

description: Additional file 7. Statistical analysis results from alpha and beta diversity analysis.
DOI: 10.6084/m9.figshare.13279166.v1
title: Additional file 8 of Identification of contributing genes of Huntington’s disease by machine learning

description: Additional file 8: Table S8. The comparison with the existing ML-based HD study, and whether these 66 genes are included in the known HD studies.
DOI: 10.6084/m9.figshare.13279164.v1
title: Additional file 6 of Distinct microbial assemblages associated with genetic selection for high- and low- muscle yield in rainbow trout

description: Additional file 6. R code.
DOI: 10.6084/m9.figshare.13279160.v1
title: Additional file 7 of Identification of contributing genes of Huntington’s disease by machine learning

description: Additional file 7: Table S7. The enriched KEGG PATHWAY, Reactome, and PANTHER database of the identified genes.
DOI: 10.6084/m9.figshare.13279157.v1
title: Additional file 6 of Identification of contributing genes of Huntington’s disease by machine learning

description: Additional file 6: Table S6. The enriched KEGG DISEASE, NHGRI GWAS Catalog, and OMIM of the identified genes.
DOI: 10.6084/m9.figshare.13279155.v1
title: Additional file 4 of Distinct microbial assemblages associated with genetic selection for high- and low- muscle yield in rainbow trout

description: Additional file 4. Mothur Shared file used to calculate alpha and beta diversity metrics.
DOI: 10.6084/m9.figshare.13279154.v1
title: Additional file 5 of Identification of contributing genes of Huntington’s disease by machine learning

description: Additional file 5: Table S5. The enriched Gene Ontology of the identified genes.
DOI: 10.6084/m9.figshare.13279152.v1
title: Additional file 3 of Distinct microbial assemblages associated with genetic selection for high- and low- muscle yield in rainbow trout

description: Additional file 3. Mothur Taxonomy file containing taxa information of all the OTUs.
DOI: 10.6084/m9.figshare.13279151.v1
title: Additional file 4 of Identification of contributing genes of Huntington’s disease by machine learning

description: Additional file 4: Table S4. The list of the identified genes of this study. A tick sign or blank denotes whether this gene was identified in the corresponding algorithm or not, respectively.
DOI: 10.6084/m9.figshare.13279149.v1
title: Additional file 2 of Distinct microbial assemblages associated with genetic selection for high- and low- muscle yield in rainbow trout

description: Additional file 2. Mothur Standard Operating procedure for microbiota profiling.
DOI: 10.6084/m9.figshare.13279148.v1
title: Additional file 3 of Identification of contributing genes of Huntington’s disease by machine learning

description: Additional file 3: Table S3. The coefficients of the generalized linear model.
DOI: 10.6084/m9.figshare.13279146.v1
title: Additional file 1 of Distinct microbial assemblages associated with genetic selection for high- and low- muscle yield in rainbow trout

description: Additional file 1. Differentially abundant taxa. Table including taxa having significant differences in abundance between the two genetic lines.
DOI: 10.6084/m9.figshare.13279145.v1
title: Additional file 2 of Identification of contributing genes of Huntington’s disease by machine learning

description: Additional file 2: Table S2. The identified 30 decision trees and 49 non-redundant genes of the random forest.
DOI: 10.6084/m9.figshare.13279142.v1
title: Additional file 1 of Identification of contributing genes of Huntington’s disease by machine learning

description: Additional file 1: Table S1. The input file to RapidMiner program of this study. Columns are attributes, while rows are samples. The column “HD” is a binominal attribute, i.e., 1 or 0, describing whether the sample is diagnosed with HD or not, respectively.
DOI: 10.6084/m9.figshare.13279139.v1
title: Additional file 1 of Immune challenge reduces gut microbial diversity and triggers fertility-dependent gene expression changes in a social insect

description: Additional file 1. Additional methodological details, Figures S1 and S2 and Table S2. Description of additional supplementary tables (Tables S1, S3-S18) are also provided.
DOI: 10.6084/m9.figshare.13279070.v1
title: Additional file 1 of The effect of statin treatment on intratumoral cholesterol levels and LDL receptor expression: a window-of-opportunity breast cancer trial

description: Additional file 1: Table 1. Change in gene expression from baseline to time of surgery
DOI: 10.21227/1684-a275
title: 2020_JOCN_Constellation_Dataset

description: This dataset contains constellation diagrams for QPSK, 16QAM, 64QAM, which we used for our research paper "Fast signal quality monitoring for coherent communications enabled by CNN-based EVM estimation"on JOCN.
DOI: 10.21227/sj4g-yd61
title: 2020_JOCN_Constellation_Dataset

description: This dataset contains constellation diagrams for QPSK, 16QAM, 64QAM, which we used for our research paper "Fast signal quality monitoring for coherent communications enabled by CNN-based EVM estimation"on JOCN.
DOI: 10.6084/m9.figshare.13278924.v1
title: Additional file 1 of Genome-wide association study of prevalent and persistent cervical high-risk human papillomavirus (HPV) infection

description: Additional file 1: Supplemental Table S1.
DOI: 10.6084/m9.figshare.13278896.v1
title: Additional file 5 of Phenotypic characterization with somatic genome editing and gene transfer reveals the diverse oncogenicity of ependymoma fusion genes

description: Additional file 5: Table S4. List of antibodies
DOI: 10.6084/m9.figshare.13278893.v1
title: Additional file 4 of Phenotypic characterization with somatic genome editing and gene transfer reveals the diverse oncogenicity of ependymoma fusion genes

description: Additional file 4: Table S3. List of primers
DOI: 10.6084/m9.figshare.13278890.v1
title: Additional file 3 of Phenotypic characterization with somatic genome editing and gene transfer reveals the diverse oncogenicity of ependymoma fusion genes

description: Additional file 3: Table S2. List of sgRNA target sequence
DOI: 10.6084/m9.figshare.13278887.v1
title: Additional file 2 of Phenotypic characterization with somatic genome editing and gene transfer reveals the diverse oncogenicity of ependymoma fusion genes

description: Additional file 2: Table S1. List of vector constructs
DOI: 10.6084/m9.figshare.13278876.v1
title: Additional file 1 of Chebulinic acid is a safe and effective antiangiogenic agent in collagen-induced arthritis in mice

description: Additional file 1.
DOI: 10.6084/m9.figshare.13278866.v1
title: Additional file 1 of Genotype imputation and variability in polygenic risk score estimation

description: Additional file 1: Supplementary Tables S1-S5. Components of PRSCAD (Table S1). Correlation of imputed-based PRSs and WGS-based ground truth (Table S2). The distribution of risk score percentile rank changes caused by three different imputation processes for other diseases (Table S3). The rate of re-classification due to imputation variability at different quintile-based risk tiers (Table S4). The rate of re-classification due to imputation variability for high-risk tiers (Table S5).
DOI: 10.5281/zenodo.4288274
title: Supplementary Materials for Genomic insight into Pediococcus acidilactici HN9, a potential probiotic strain isolated from the traditional Thai-style fermented beef Nhang

description: This is a supplementary file of Genomic insight into <em>Pediococcus acidilactici</em> HN9, a potential probiotic strain isolated from the traditional Thai-style fermented beef Nhang. The detail of the supplementary data is given as follows; Figure S1: Subsystem information of the HN9 based on the RAST annotation server, Table S1: The information of strain used in this study, Table S2: Metadata of all strains used in this study.
DOI: 10.6084/m9.figshare.13278852.v1
title: Additional file 4 of Commercial head-mounted display virtual reality for upper extremity rehabilitation in chronic stroke: a single-case design study

description: Additional file 4. This excel file contains all data which was generated with or analyzed in this study. It is divided into 3 tabs: Primary outcomes, Additional assessments, and Training sessions.
DOI: 10.6084/m9.figshare.13278849.v1
title: Additional file 3 of Commercial head-mounted display virtual reality for upper extremity rehabilitation in chronic stroke: a single-case design study

description: Additional file 3. The excel file with primary outcomes which was imported to R for the Tau-U analysis.
DOI: 10.6084/m9.figshare.13278843.v1
title: Additional file 2 of Commercial head-mounted display virtual reality for upper extremity rehabilitation in chronic stroke: a single-case design study

description: Additional file 2. The R script which was used to calculate the Tau-UA vs. B − trend A summary index for the primary outcomes.
DOI: 10.5281/zenodo.4161623
title: CLDF dataset derived from Gerardi and Reichert's "TuLeD: Tupían lexical database" from 2020

description: Cite the source of the dataset as: Ferraz Gerardi, Fabrício and Reichert, Stanislav (2020) TuLeD: Tupían lexical database. Version 0.8. Tübingen: Eberhard-Karls University
DOI: 10.6084/m9.figshare.13278776.v1
title: Additional file 1 of The evolution of relapse of adult T cell acute lymphoblastic leukemia

description: Additional file 1. Additional tables. This file contains the supplementary tables referenced in the main text. Table S1 contains clinical information on the adult T-ALL cohort. Table S2 contains clinical information of the public pediatric cohorts. Table S3 contains the detected cancer genes by IntOGen. Table S4 contains the lists of ALL cancer genes of interest found in the literature separated in 3 subtables according to the type of alterations: SNVs and InDels (Table S4.a), CNV (Table S4.b), SV (Table S4.c). Table S5 contains the mutations (SNVs and InDels) that we consider as candidate drivers. Table S6 has the candidate driver CNVs (Table S6.a) and SVs (Table S6.b) of the cohorts analyzed. Table S7 has the time of divergence estimates between primary and relapse estimated as days pre-diagnosis of each patient.
DOI: 10.6084/m9.figshare.13278756.v1
title: Additional file 9 of jouvence, a new human snoRNA involved in the control of cell proliferation

description: Additional file 9: Table S8. jou-overexpression: genes Down versus siRNA: genes Up (868 genes).
DOI: 10.6084/m9.figshare.13278753.v1
title: Additional file 8 of jouvence, a new human snoRNA involved in the control of cell proliferation

description: Additional file 8: Table S7. jou-overexpression: genes Up versus siRNA: genes down (1102 genes).
DOI: 10.6084/m9.figshare.13278750.v1
title: Additional file 7 of jouvence, a new human snoRNA involved in the control of cell proliferation

description: Additional file 7: Table S6. HCT-siRNA knockdown_KEGG enrichment pathways.
DOI: 10.6084/m9.figshare.13278747.v1
title: Additional file 6 of jouvence, a new human snoRNA involved in the control of cell proliferation

description: Additional file 6: Table S5. HCT-siRNA knockdown_DEG downregulated genes.
DOI: 10.6084/m9.figshare.13278744.v1
title: Additional file 5 of jouvence, a new human snoRNA involved in the control of cell proliferation

description: Additional file 5: Table S4. HCT-siRNA knockdown_DEG upregulated genes.
DOI: 10.6084/m9.figshare.13278741.v1
title: Additional file 4 of jouvence, a new human snoRNA involved in the control of cell proliferation

description: Additional file 4: Table S3. HCT-jou-overexpression_KEGG enrichment pathways.
DOI: 10.6084/m9.figshare.13278738.v1
title: Additional file 3 of jouvence, a new human snoRNA involved in the control of cell proliferation

description: Additional file 3: Table S2. HCT-jou-overexpression_DEG downregulated genes.
DOI: 10.6084/m9.figshare.13278735.v1
title: Additional file 2 of jouvence, a new human snoRNA involved in the control of cell proliferation

description: Additional file 2: Table S1. HCT-jou-overexpression_DEG upregulated genes.
DOI: 10.6084/m9.figshare.13278728.v1
title: Additional file 1 of Effect of sterilization on the canine vaginal microbiota: a pilot study

description: Additional file 1.
DOI: 10.6084/m9.figshare.13278674.v1
title: Additional file 13 of Perinatal environment shapes microbiota colonization and infant growth: impact on host response and intestinal function

description: Additional file 13. R code used in the study and links of consulted GitHub repositories (R 5 kb)
DOI: 10.6084/m9.figshare.13278672.v1
title: Additional file 3 of A cassava protoplast system for screening genes associated with the response to South African cassava mosaic virus

description: Additional file 3: E3 ligase and E3 ligase complex-associated gene expression during plant virus infection.
DOI: 10.6084/m9.figshare.13278669.v1
title: Additional file 2 of A cassava protoplast system for screening genes associated with the response to South African cassava mosaic virus

description: Additional file 2: ANOVA and Tukey's HSD analyses of qPCR data.