cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.13468215.v1
title: Additional file 3 of The identification of co-expressed gene modules in Streptococcus pneumonia from colonization to infection to predict novel potential virulence genes

description: Additional file 3:. Expression matrix. The expression matrix was extracted from microarray samples.
DOI: 10.6084/m9.figshare.13468215
title: Additional file 3 of The identification of co-expressed gene modules in Streptococcus pneumonia from colonization to infection to predict novel potential virulence genes

description: Additional file 3:. Expression matrix. The expression matrix was extracted from microarray samples.
DOI: 10.6084/m9.figshare.13468213.v1
title: Additional file 2 of The identification of co-expressed gene modules in Streptococcus pneumonia from colonization to infection to predict novel potential virulence genes

description: Additional file 2:. DEGs. Differentially expressed genes.
DOI: 10.6084/m9.figshare.13468241.v1
title: Additional file 1 of Long noncoding RNA MIR31HG and its splice variants regulate proliferation and migration: prognostic implications for muscle invasive bladder cancer

description: Additional file 1: Fig. S1. Expression of MIR31HG in BLCA tissue samples and cell lines based on in silico data. (A) Expression of MIR31HG was higher in basal (median expression 7.10 with range of 0 to 9.96) subtype than in luminal (median expression 5.21 with range of 0 to 10.16) and infiltrated (median expression 4.99 with range of 0 to 9.16) subtypes in patients of the TCGA cohort. (B) No significant difference of MIR31HG expression was found between lymph node metastasis negative and positive groups. (C) RNA-seq data from the Cancer Cell Line Encyclopedia showed expression levels in TPM (transcripts per million) for MIR31HG in 25 BLCA cell lines. Fig. S2. Kaplan-Meier plot of the TCGA cohort of OS and DFS associated with MIR31HG risk stratification. The group with high or low expression of MIR31HG showed no significant correlation with OS (A, median survival, 16 vs. 15 months, p = 0.9638) and DFS (B, median survival, 15 vs. 17 months, p = 0.4175) in the whole TCGA cohort. The numbers below the figures showed the number of patients at risk in each group. Fig. S3. Kaplan-Meier plot of the TCGA cohort with basal subtype of overall survival associated with MIR31HG Exon1–2 (Junction 3) risk stratification. (A) The group with high Junction 3 expression showed worse OS than the group with low expression (median survival, 17 vs. 14 months, p = 0.0298). (B) No significant difference was observed in DFS between the group with high and low Junction 3 expression (median survival, 17 vs. 15 months, p = 0.5670). The numbers below the figures showed the number of patients at risk in each group. Fig. S4. Kaplan-Meier plot of the Mannheim cohort with basal subtype of OS and DFS associated with MIR31HG and its splice variants risk stratification. No significant correlation was found with OS (A, median survival 18 vs. 20 months) and DFS (B, median survival 17 vs. 15 months) in the group with full-length transcript of MIR31HG. No significant correlation was found with OS (C, median survival 15 vs. 18 months) and DFS (D, median survival 29 vs. 17 months) in the group with MIR31HGΔE1. The group with high MIR31HGΔE3 expression showed a worse OS (E, median survival 13 vs. 22 months) compared to the group with low expression, no significant correlation was found with DFS (F, median survival 15 vs. 36 months). The numbers below the figures showed the number of patients at risk in each group. Table S1. siRNAs used in this study. Table S2. Primers and probes used in this study.
DOI: 10.6084/m9.figshare.13468241
title: Additional file 1 of Long noncoding RNA MIR31HG and its splice variants regulate proliferation and migration: prognostic implications for muscle invasive bladder cancer

description: Additional file 1: Fig. S1. Expression of MIR31HG in BLCA tissue samples and cell lines based on in silico data. (A) Expression of MIR31HG was higher in basal (median expression 7.10 with range of 0 to 9.96) subtype than in luminal (median expression 5.21 with range of 0 to 10.16) and infiltrated (median expression 4.99 with range of 0 to 9.16) subtypes in patients of the TCGA cohort. (B) No significant difference of MIR31HG expression was found between lymph node metastasis negative and positive groups. (C) RNA-seq data from the Cancer Cell Line Encyclopedia showed expression levels in TPM (transcripts per million) for MIR31HG in 25 BLCA cell lines. Fig. S2. Kaplan-Meier plot of the TCGA cohort of OS and DFS associated with MIR31HG risk stratification. The group with high or low expression of MIR31HG showed no significant correlation with OS (A, median survival, 16 vs. 15 months, p = 0.9638) and DFS (B, median survival, 15 vs. 17 months, p = 0.4175) in the whole TCGA cohort. The numbers below the figures showed the number of patients at risk in each group. Fig. S3. Kaplan-Meier plot of the TCGA cohort with basal subtype of overall survival associated with MIR31HG Exon1–2 (Junction 3) risk stratification. (A) The group with high Junction 3 expression showed worse OS than the group with low expression (median survival, 17 vs. 14 months, p = 0.0298). (B) No significant difference was observed in DFS between the group with high and low Junction 3 expression (median survival, 17 vs. 15 months, p = 0.5670). The numbers below the figures showed the number of patients at risk in each group. Fig. S4. Kaplan-Meier plot of the Mannheim cohort with basal subtype of OS and DFS associated with MIR31HG and its splice variants risk stratification. No significant correlation was found with OS (A, median survival 18 vs. 20 months) and DFS (B, median survival 17 vs. 15 months) in the group with full-length transcript of MIR31HG. No significant correlation was found with OS (C, median survival 15 vs. 18 months) and DFS (D, median survival 29 vs. 17 months) in the group with MIR31HGΔE1. The group with high MIR31HGΔE3 expression showed a worse OS (E, median survival 13 vs. 22 months) compared to the group with low expression, no significant correlation was found with DFS (F, median survival 15 vs. 36 months). The numbers below the figures showed the number of patients at risk in each group. Table S1. siRNAs used in this study. Table S2. Primers and probes used in this study.
DOI: 10.6084/m9.figshare.13468283
title: Additional file 1 of Effect of cooking temperature and time on total phenolic content, total flavonoid content and total in vitro antioxidant activity of garlic

description: Additional file 1: Table S1. Raw data for the total phenolic content, total flavonoid content and antioxidant activity of aqueous and ethanol extracts of garlic boiled at different temperatures.
DOI: 10.6084/m9.figshare.13468281
title: Additional file 1 of Aligning text mining and machine learning algorithms with best practices for study selection in systematic literature reviews

description: Additional file 1:. Machine Learning Functions. Code used to apply the machine learning algorithms
DOI: 10.6084/m9.figshare.13468283.v1
title: Additional file 1 of Effect of cooking temperature and time on total phenolic content, total flavonoid content and total in vitro antioxidant activity of garlic

description: Additional file 1: Table S1. Raw data for the total phenolic content, total flavonoid content and antioxidant activity of aqueous and ethanol extracts of garlic boiled at different temperatures.
DOI: 10.6084/m9.figshare.13468311.v1
title: Additional file 1 of Global hypermethylation of intestinal epithelial cells is a hallmark feature of neonatal surgical necrotizing enterocolitis

description: Additional file 1. Supplementary Data Tables.
DOI: 10.6084/m9.figshare.13468315.v1
title: Additional file 2 of Global hypermethylation of intestinal epithelial cells is a hallmark feature of neonatal surgical necrotizing enterocolitis

description: Additional file 2. Supplementary Figures.
DOI: 10.6084/m9.figshare.13468315
title: Additional file 2 of Global hypermethylation of intestinal epithelial cells is a hallmark feature of neonatal surgical necrotizing enterocolitis

description: Additional file 2. Supplementary Figures.
DOI: 10.6084/m9.figshare.13468311
title: Additional file 1 of Global hypermethylation of intestinal epithelial cells is a hallmark feature of neonatal surgical necrotizing enterocolitis

description: Additional file 1. Supplementary Data Tables.
DOI: 10.6084/m9.figshare.13468313
title: Additional file 10 of ARPIR: automatic RNA-Seq pipelines with interactive report

description: Additional file 10: Table S9. List of genes differentially expressed and relative Fold Changes identify by STAR-Cufflinks-cummeRbund pipeline.
DOI: 10.6084/m9.figshare.13468325
title: Additional file 3 of ARPIR: automatic RNA-Seq pipelines with interactive report

description: Additional file 3: Table S2. List of genes differentially expressed and relative Fold Changes identify by HISAT2-StringTie-Ballgown pipeline.
DOI: 10.6084/m9.figshare.13468327.v1
title: Additional file 4 of ARPIR: automatic RNA-Seq pipelines with interactive report

description: Additional file 4: Table S3. List of genes differentially expressed and relative Fold Changes identify by TopHat2-Cufflinks-cummeRbund pipeline.
DOI: 10.6084/m9.figshare.13468321
title: Additional file 2 of ARPIR: automatic RNA-Seq pipelines with interactive report

description: Additional file 2: Table S1. List of genes differentially expressed and relative Fold Changes for the two groups in the original data.
DOI: 10.6084/m9.figshare.13468325.v1
title: Additional file 3 of ARPIR: automatic RNA-Seq pipelines with interactive report

description: Additional file 3: Table S2. List of genes differentially expressed and relative Fold Changes identify by HISAT2-StringTie-Ballgown pipeline.
DOI: 10.6084/m9.figshare.13468327
title: Additional file 4 of ARPIR: automatic RNA-Seq pipelines with interactive report

description: Additional file 4: Table S3. List of genes differentially expressed and relative Fold Changes identify by TopHat2-Cufflinks-cummeRbund pipeline.
DOI: 10.6084/m9.figshare.13468329.v1
title: Additional file 5 of ARPIR: automatic RNA-Seq pipelines with interactive report

description: Additional file 5: Table S4. List of genes differentially expressed and relative Fold Changes identify by HISAT2-featureCounts-DESeq2 pipeline.
DOI: 10.6084/m9.figshare.13468329
title: Additional file 5 of ARPIR: automatic RNA-Seq pipelines with interactive report

description: Additional file 5: Table S4. List of genes differentially expressed and relative Fold Changes identify by HISAT2-featureCounts-DESeq2 pipeline.
DOI: 10.6084/m9.figshare.13468331.v1
title: Additional file 6 of ARPIR: automatic RNA-Seq pipelines with interactive report

description: Additional file 6: Table S5. List of genes differentially expressed and relative Fold Changes identify by HISAT2-featureCounts-edgeR pipeline.
DOI: 10.6084/m9.figshare.13468333
title: Additional file 7 of ARPIR: automatic RNA-Seq pipelines with interactive report

description: Additional file 7: Table S6. List of genes differentially expressed and relative Fold Changes identify by kallisto-sleuth pipeline.
DOI: 10.6084/m9.figshare.13468335.v1
title: Additional file 8 of ARPIR: automatic RNA-Seq pipelines with interactive report

description: Additional file 8: Table S7. List of genes differentially expressed and relative Fold Changes identify by STAR-featureCounts-edgeR pipeline.
DOI: 10.6084/m9.figshare.13468337
title: Additional file 9 of ARPIR: automatic RNA-Seq pipelines with interactive report

description: Additional file 9: Table S8. List of genes differentially expressed and relative Fold Changes identify by STAR-featureCounts-DESeq2 pipeline.
DOI: 10.6084/m9.figshare.13468337.v1
title: Additional file 9 of ARPIR: automatic RNA-Seq pipelines with interactive report

description: Additional file 9: Table S8. List of genes differentially expressed and relative Fold Changes identify by STAR-featureCounts-DESeq2 pipeline.
DOI: 10.6084/m9.figshare.13468331
title: Additional file 6 of ARPIR: automatic RNA-Seq pipelines with interactive report

description: Additional file 6: Table S5. List of genes differentially expressed and relative Fold Changes identify by HISAT2-featureCounts-edgeR pipeline.
DOI: 10.6084/m9.figshare.13468335
title: Additional file 8 of ARPIR: automatic RNA-Seq pipelines with interactive report

description: Additional file 8: Table S7. List of genes differentially expressed and relative Fold Changes identify by STAR-featureCounts-edgeR pipeline.
DOI: 10.6084/m9.figshare.13468369
title: Additional file 6 of Genetic stability, genetic variation, and fitness performance of the genetic sexing Salaya1 strain for Bactrocera dorsalis, under long-term mass rearing conditions

description: Additional file 6. Data sheet.
DOI: 10.6084/m9.figshare.13468379.v1
title: Additional file 1 of Lusutrombopag is effective and safe in patients with chronic liver disease and severe thrombocytopenia: a multicenter retrospective study

description: Additional file 1.Table S1. Data set of the present study
DOI: 10.6084/m9.figshare.13468369.v1
title: Additional file 6 of Genetic stability, genetic variation, and fitness performance of the genetic sexing Salaya1 strain for Bactrocera dorsalis, under long-term mass rearing conditions

description: Additional file 6. Data sheet.
DOI: 10.6084/m9.figshare.13468379
title: Additional file 1 of Lusutrombopag is effective and safe in patients with chronic liver disease and severe thrombocytopenia: a multicenter retrospective study

description: Additional file 1.Table S1. Data set of the present study
DOI: 10.6084/m9.figshare.13311268
title: Additional file 2 of Reprogramming of synovial macrophage metabolism by synovial fibroblasts under inflammatory conditions

description: Additional file 1. Supplemental Table of primer sequence for RT-qPCR.
DOI: 10.6084/m9.figshare.13311268.v1
title: Additional file 2 of Reprogramming of synovial macrophage metabolism by synovial fibroblasts under inflammatory conditions

description: Additional file 1. Supplemental Table of primer sequence for RT-qPCR.
DOI: 10.6084/m9.figshare.13468419.v1
title: Additional file 1 of Identification of CD8+ T cell epitopes through proteasome cleavage site predictions

description: Additional file 1. Dataset with virus-specific CD8+ T cell epitopes.
DOI: 10.6084/m9.figshare.13468419
title: Additional file 1 of Identification of CD8+ T cell epitopes through proteasome cleavage site predictions

description: Additional file 1. Dataset with virus-specific CD8+ T cell epitopes.
DOI: 10.6084/m9.figshare.13468423
title: Additional file 2 of Identification of CD8+ T cell epitopes through proteasome cleavage site predictions

description: Additional file 2. SARS-CoV-2-specific CD8+ T cell epitopes predicted using iPCPS with different settings.
DOI: 10.6084/m9.figshare.13468423.v1
title: Additional file 2 of Identification of CD8+ T cell epitopes through proteasome cleavage site predictions

description: Additional file 2. SARS-CoV-2-specific CD8+ T cell epitopes predicted using iPCPS with different settings.
DOI: 10.6084/m9.figshare.13468437
title: Additional file 1 of Analysis of codon usage patterns in citrus based on coding sequence data

description: Additional file 1 High frequency codon pairs table. The RSCPU value and number of each high frequency codon pairs of each citrus species.
DOI: 10.6084/m9.figshare.13468437.v1
title: Additional file 1 of Analysis of codon usage patterns in citrus based on coding sequence data

description: Additional file 1 High frequency codon pairs table. The RSCPU value and number of each high frequency codon pairs of each citrus species.
DOI: 10.6084/m9.figshare.13468475.v1
title: Additional file 1 of Evaluation of lexical clarification by patients reading their clinical notes: a quasi-experimental interview study

description: Additional file 1. R-script used for the analysis.
DOI: 10.6084/m9.figshare.13468475
title: Additional file 1 of Evaluation of lexical clarification by patients reading their clinical notes: a quasi-experimental interview study

description: Additional file 1. R-script used for the analysis.
DOI: 10.6084/m9.figshare.13468477
title: Additional file 2 of Evaluation of lexical clarification by patients reading their clinical notes: a quasi-experimental interview study

description: Additional file 2. Spreadsheet with detailed statistics from R-script output.
DOI: 10.6084/m9.figshare.13468477.v1
title: Additional file 2 of Evaluation of lexical clarification by patients reading their clinical notes: a quasi-experimental interview study

description: Additional file 2. Spreadsheet with detailed statistics from R-script output.
DOI: 10.5281/zenodo.4381664
title: Carbene Catalyzed Enantioselective Synthesis of Phthalidyl Sulfonamides

description: This folder /xyz_structures/ contains the geometries (in .xyz format together with the energy, E, in Hartree) accompanying the paper<br> "Carbene Catalyzed Enantioselective Synthesis of Phthalidyl Sulfonamides" Where conformers occur, they are always named from the lowest Gibbs energy to the highest in ascending order from c1 (sometimes omitted), c2, c3, ... This folder has the following structure and they correspond to the raw data in the SI: <br> /int_II_confs/ <br> --&gt; conformers from conformational sampling of acyl azolium intermediate II using SMD(DCM)-M06-2X/def2-TZVP//M06-2X/def2-SVP level of theory. /with_Li_ion/ <br> --&gt; structures for the reaction between acyl azolium intermediate II and lithium sulfonamide with explicit Li+ ion participation. /without_Li_ion/ <br> --&gt; structures for the reaction between acyl azolium intermediate II and deprotonated sulfonamide without explicit Li+ ion participation.
DOI: 10.6084/m9.figshare.13468075.v1
title: Additional file 2 of Identification of FMRP target mRNAs in the developmental brain: FMRP might coordinate Ras/MAPK, Wnt/β-catenin, and mTOR signaling during corticogenesis

description: Additional file 2: Table S2. Gene ontology (biological process) analysis of the 118 shared genes.
DOI: 10.21227/j79y-qa64
title: Coronavirus (COVID-19) Geo-tagged Tweets Dataset

description: This dataset contains IDs and sentiment scores of the geo-tagged tweets related to the COVID-19 pandemic. The tweets are captured by an on-going project deployed at https://live.rlamsal.com.np. The model monitors the real-time Twitter feed for coronavirus-related tweets using 90+ different keywords and hashtags that are commonly used while referencing the pandemic. Complying with Twitter's content redistribution policy, only the tweet IDs are shared. You can re-construct the dataset by hydrating these IDs. The tweet IDs in this dataset belong to the tweets tweeted providing an exact location.The paper associated with this dataset is available here: Design and analysis of a large-scale COVID-19 tweets dataset-------------------------------------Related datasets: (a) Coronavirus (COVID-19) Tweets Sentiment Trend (Global)(b) Tweets Originating from India During COVID-19 Lockdowns-------------------------------------Below is the quick overview of this dataset.— Dataset name: GeoCOV19Tweets Dataset— Number of tweets : 283,960 tweets— Coverage : Global— Language : English (EN)— Dataset usage terms : By using this dataset, you agree to (i) use the content of this dataset and the data generated from the content of this dataset for non-commercial research only, (ii) remain in compliance with Twitter's Developer Policy and (iii) cite the following paper:Lamsal, R. Design and analysis of a large-scale COVID-19 tweets dataset. Applied Intelligence (2020). https://doi.org/10.1007/s10489-020-02029-z— Primary dataset : Coronavirus (COVID-19) Tweets Dataset (COV19Tweets Dataset)— Dataset updates : Everyday— Active keywords and hashtags: keywords.tsvPlease visit this page (primary dataset) for details regarding the collection date and time (and other notes) of each CSV file present in this dataset.
DOI: 10.5281/zenodo.4361476
title: CoNLL-RDF ontology

description: The CoNLL-RDF ontology provides machine-readable semantics for an inventory of CoNLL properties (and classes) for a growing collection of about two dozen CoNLL and related formats currently used in language technology.
DOI: 10.5281/zenodo.4361475
title: CoNLL-RDF ontology

description: The CoNLL-RDF ontology provides machine-readable semantics for an inventory of CoNLL properties (and classes) for a growing collection of about two dozen CoNLL and related formats currently used in language technology.
DOI: 10.5281/zenodo.4381973
title: Pelagios Community Survey

description: A copy of the form used to survey the Pelagios community in 2018, and the anonymised responses.
DOI: 10.5281/zenodo.4381909
title: Pelagios Community Survey

description: A copy of the form used to survey the Pelagios community in 2018, and the anonymised responses.
DOI: 10.15161/oar.it/73353
title: CovidStat project data

description: This record contains the daily updated data of the CovidStat project. CovidStat is a project carried out by the CovidStat Working Group at INFN, whose creation was promoted within the Italian National Institute of Nuclear Physics with the aim of making a statistical analysis of the data provided daily by the Civil Protection on the spread of the pandemic in Italy. CovidStat data can interactively be browsed at https://covid19.infn.it.
description: The software to process this Root TTree is in the related identifier. Be sure to use the right corresponding version, based on the data in which Root TTree was generated.
DOI: 10.25403/upresearchdata.13299449.v1
title: Employee perspectives on improving B-BBEE skills development outcomes through organisational support

description: These are interview transcripts for a qualitative research conducted as part of a mini dissertation. The study was conducted in order to establish employee skills improvement and support in organisations.
DOI: 10.25403/upresearchdata.13299449
title: Employee perspectives on improving B-BBEE skills development outcomes through organisational support

description: These are interview transcripts for a qualitative research conducted as part of a mini dissertation. The study was conducted in order to establish employee skills improvement and support in organisations.
DOI: 10.25919/zwnv-k536
title: Parkes observations for project P1056 semester 2020APRS_01

description: MeerTRAP is a project that performs real-time, commensal searches for fast radio transients using the MeerKAT telescope in South Africa. It has made its first discovery of a Galactic fast radio transient. We have so far detected about 35 pulses from what may be a Rotating Radio Transient (RRAT), and have localised its position to within a few arcseconds, allowing follow-up at other facilities. We request timing observations of this source to determine its basic rotational parameters, as well as its spectrum, flux density variability, detection rate and polarimetry. The Parkes UWL observations will be essential for determining the nature of the source and its place among the known neutron star population.
DOI: 10.6084/m9.figshare.13468803
title: Privacy Policy

description: This is privacy policy for the survey following the guidelines of GDPR
DOI: 10.6084/m9.figshare.13468803.v1
title: Privacy Policy

description: This is privacy policy for the survey following the guidelines of GDPR
DOI: 10.6084/m9.figshare.13468809
title: Abstinence among alcohol use disorder patients during the COVID-19 pandemic: Insights from Spain

description: Data associated with publication <br>"Abstinence among alcohol use disorder patients during the COVID-19 pandemic: Insights from Spain" from Pablo Barrio et al.
DOI: 10.6084/m9.figshare.13468809.v1
title: Abstinence among alcohol use disorder patients during the COVID-19 pandemic: Insights from Spain

description: Data associated with publication <br>"Abstinence among alcohol use disorder patients during the COVID-19 pandemic: Insights from Spain" from Pablo Barrio et al.