cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.13250658
title: Additional file 1 of The relation of meiotic behaviour to hybridity, polyploidy and apomixis in the Ranunculus auricomus complex (Ranunculaceae)

description: Additional file 1: Table S1: Number of cytological abnormalities detected in micro- and megasporogenesis in Ranunculus. Table S2: More detailed information on the generalized mixed-effect model (GLMM) analyses. These analyses observed effects changing the error frequency of micro- and megasporogenesis in Ranunculus with regard to ploidy, generation and sex. Calculations were based on 115 Ranunculus plants and more than 13,000 individual data points. R calculation output is visualized including standard error and z value. Regression estimate and p value are calculated by GLMM analysis and the tested factor is referred to the test and base line categories. Table S3: Mean peak indices of reproductive mode of different Ranunculus populations. Fig. S1: Asexual ES formation in an ovule of a diploid Ranunculus F2 hybrid (taken from [40]). Fig. S2: Chi-squared analyses of erroneous mega- and microsporogenesis in natural and hybrid Ranunculus plants. Fig. S3: Representative flow cytometry histograms of Ranunculus seeds.
DOI: 10.6084/m9.figshare.13250663.v1
title: Additional file 2 of Platelet activation in adult HIV-infected patients on antiretroviral therapy: a systematic review and meta-analysis

description: Additional file 2: Table S2. Risk of bias analysis.
DOI: 10.6084/m9.figshare.13250663
title: Additional file 2 of Platelet activation in adult HIV-infected patients on antiretroviral therapy: a systematic review and meta-analysis

description: Additional file 2: Table S2. Risk of bias analysis.
DOI: 10.6084/m9.figshare.13250696.v1
title: Additional file 2 of LC-N2G: a local consistency approach for nutrigenomics data analysis

description: Additional file 2: Table S2. Results for LC-Test on all combination of nutrition variables and all genes in mouse nutrition study.
DOI: 10.6084/m9.figshare.13244744.v7
title: Fuel Moisture Content (FMC)

description: Fuel moisture content (FMC) is defined as the ratio of canopy water content to dry weight, which is a key index for evaluating wildfire risk and fire spread rate.<br>
DOI: 10.6084/m9.figshare.13250696
title: Additional file 2 of LC-N2G: a local consistency approach for nutrigenomics data analysis

description: Additional file 2: Table S2. Results for LC-Test on all combination of nutrition variables and all genes in mouse nutrition study.
DOI: 10.6084/m9.figshare.13250778
title: Additional file 2 of A versatile toolkit for CRISPR-Cas13-based RNA manipulation in Drosophila

description: Additional file 2: Table S1. Drosophila codon-optimized Cas13 variants.
DOI: 10.6084/m9.figshare.13250781
title: Additional file 3 of A versatile toolkit for CRISPR-Cas13-based RNA manipulation in Drosophila

description: Additional file 3. Table S2. List of plasmids.
DOI: 10.6084/m9.figshare.13250781.v1
title: Additional file 3 of A versatile toolkit for CRISPR-Cas13-based RNA manipulation in Drosophila

description: Additional file 3. Table S2. List of plasmids.
DOI: 10.6084/m9.figshare.13250784
title: Additional file 4 of A versatile toolkit for CRISPR-Cas13-based RNA manipulation in Drosophila

description: Additional file 4. Table S3. Primers.
DOI: 10.6084/m9.figshare.13250778.v1
title: Additional file 2 of A versatile toolkit for CRISPR-Cas13-based RNA manipulation in Drosophila

description: Additional file 2: Table S1. Drosophila codon-optimized Cas13 variants.
DOI: 10.6084/m9.figshare.13250787
title: Additional file 5 of A versatile toolkit for CRISPR-Cas13-based RNA manipulation in Drosophila

description: Additional file 5. Table S4. Survival data of all Cas13/crRNAs lines.
DOI: 10.6084/m9.figshare.13250784.v1
title: Additional file 4 of A versatile toolkit for CRISPR-Cas13-based RNA manipulation in Drosophila

description: Additional file 4. Table S3. Primers.
DOI: 10.6084/m9.figshare.13250790
title: Additional file 6 of A versatile toolkit for CRISPR-Cas13-based RNA manipulation in Drosophila

description: Additional file 6. Supplemental methods S1. Cloning procedures for CRISPR/Cas13-crRNA vectors.
DOI: 10.6084/m9.figshare.13250790.v1
title: Additional file 6 of A versatile toolkit for CRISPR-Cas13-based RNA manipulation in Drosophila

description: Additional file 6. Supplemental methods S1. Cloning procedures for CRISPR/Cas13-crRNA vectors.
DOI: 10.6084/m9.figshare.13250787.v1
title: Additional file 5 of A versatile toolkit for CRISPR-Cas13-based RNA manipulation in Drosophila

description: Additional file 5. Table S4. Survival data of all Cas13/crRNAs lines.
DOI: 10.6084/m9.figshare.13250807
title: Additional file 1 of GODoc: high-throughput protein function prediction using novel k-nearest-neighbor and voting algorithms

description: Additional file 1: Table S1. The performance of the submitted Model 1 based on minimum normalized semantic distance metric adapted from CAFA3 Results Release.
DOI: 10.6084/m9.figshare.13250807.v1
title: Additional file 1 of GODoc: high-throughput protein function prediction using novel k-nearest-neighbor and voting algorithms

description: Additional file 1: Table S1. The performance of the submitted Model 1 based on minimum normalized semantic distance metric adapted from CAFA3 Results Release.
DOI: 10.6084/m9.figshare.13250918
title: Additional file 2 of MeCP2 gates spatial learning-induced alternative splicing events in the mouse hippocampus

description: Additional file 2: Table S2. Learning-induced DAS. Description of data: This file contains the number of differential alternative splicing (DAS) events per subtype for learning-induced conditions.
DOI: 10.6084/m9.figshare.13250912
title: Additional file 10 of MeCP2 gates spatial learning-induced alternative splicing events in the mouse hippocampus

description: Additional file 10: Table S7. GO analysis and DEG/DAS overlap for baseline and learning state conditions. This file contains gene ontology (GO) analysis and overlap for DEGs and DAS for baseline and learning conditions.
DOI: 10.6084/m9.figshare.13250915.v1
title: Additional file 1 of MeCP2 gates spatial learning-induced alternative splicing events in the mouse hippocampus

description: Additional file 1: Table S1. List of primers used for qRT-PCR and RT-PCR.
DOI: 10.6084/m9.figshare.13250915
title: Additional file 1 of MeCP2 gates spatial learning-induced alternative splicing events in the mouse hippocampus

description: Additional file 1: Table S1. List of primers used for qRT-PCR and RT-PCR.
DOI: 10.6084/m9.figshare.13250924
title: Additional file 4 of MeCP2 gates spatial learning-induced alternative splicing events in the mouse hippocampus

description: Additional file 4: Table S3. ΔPSI for Learning-induced DAS. This file contains ΔPSI values for the differential alternative splicing (DAS) events per subtype for learning-induced conditions.
DOI: 10.6084/m9.figshare.13250924.v1
title: Additional file 4 of MeCP2 gates spatial learning-induced alternative splicing events in the mouse hippocampus

description: Additional file 4: Table S3. ΔPSI for Learning-induced DAS. This file contains ΔPSI values for the differential alternative splicing (DAS) events per subtype for learning-induced conditions.
DOI: 10.6084/m9.figshare.13250936
title: Additional file 8 of MeCP2 gates spatial learning-induced alternative splicing events in the mouse hippocampus

description: Additional file 8: Table S6. ΔPSI for Baseline and learning state DAS. This file contains ΔPSI values from the differential alternative splicing (DAS) events per subtype for baseline and learning-state conditions.
DOI: 10.6084/m9.figshare.13250912.v1
title: Additional file 10 of MeCP2 gates spatial learning-induced alternative splicing events in the mouse hippocampus

description: Additional file 10: Table S7. GO analysis and DEG/DAS overlap for baseline and learning state conditions. This file contains gene ontology (GO) analysis and overlap for DEGs and DAS for baseline and learning conditions.
DOI: 10.6084/m9.figshare.13250930
title: Additional file 6 of MeCP2 gates spatial learning-induced alternative splicing events in the mouse hippocampus

description: Additional file 6: Table S4. GO analysis and DEG/DAS overlap for Learning-induced conditions.This file contains gene ontology (GO) analysis and overlap for DEGs and DAS for learning-induced conditions.
DOI: 10.6084/m9.figshare.13250936.v1
title: Additional file 8 of MeCP2 gates spatial learning-induced alternative splicing events in the mouse hippocampus

description: Additional file 8: Table S6. ΔPSI for Baseline and learning state DAS. This file contains ΔPSI values from the differential alternative splicing (DAS) events per subtype for baseline and learning-state conditions.
DOI: 10.6084/m9.figshare.13250930.v1
title: Additional file 6 of MeCP2 gates spatial learning-induced alternative splicing events in the mouse hippocampus

description: Additional file 6: Table S4. GO analysis and DEG/DAS overlap for Learning-induced conditions.This file contains gene ontology (GO) analysis and overlap for DEGs and DAS for learning-induced conditions.
DOI: 10.6084/m9.figshare.13250933
title: Additional file 7 of MeCP2 gates spatial learning-induced alternative splicing events in the mouse hippocampus

description: Additional file 7: Table S5. Baseline and learning state DAS. This file contains the number of differential alternative splicing (DAS) events per subtype for baseline and learning state conditions.
DOI: 10.6084/m9.figshare.13250918.v1
title: Additional file 2 of MeCP2 gates spatial learning-induced alternative splicing events in the mouse hippocampus

description: Additional file 2: Table S2. Learning-induced DAS. Description of data: This file contains the number of differential alternative splicing (DAS) events per subtype for learning-induced conditions.
DOI: 10.6084/m9.figshare.13250933.v1
title: Additional file 7 of MeCP2 gates spatial learning-induced alternative splicing events in the mouse hippocampus

description: Additional file 7: Table S5. Baseline and learning state DAS. This file contains the number of differential alternative splicing (DAS) events per subtype for baseline and learning state conditions.
DOI: 10.6084/m9.figshare.13250951
title: Additional file 2 of A longitudinal study on morpho-genetic diversity of pathogenic Rhizoctonia solani from sugar beet and dry beans of western Nebraska

description: Additional file 2: Table S1. Correlation Matrix_Morphology.
DOI: 10.6084/m9.figshare.13250951.v1
title: Additional file 2 of A longitudinal study on morpho-genetic diversity of pathogenic Rhizoctonia solani from sugar beet and dry beans of western Nebraska

description: Additional file 2: Table S1. Correlation Matrix_Morphology.
DOI: 10.6084/m9.figshare.13250969
title: Additional file 5 of Epigenetic profiling of Italian patients identified methylation sites associated with hereditary transthyretin amyloidosis

description: Additional file 5. Association of cg13139646 co-methylated CpG sites (Pearson’s r2 &gt; 0.2) with i) carrier status (cases vs. controls), ii) disease status (cases vs. asymptomatic) and, iii) symptoms (AGE, ANS, CTS, EYE, GI, HEA, PNS). Information about cg probe (cgID), chromosome localization (CHR), position (POS), determination coefficient (Pearson’s r2), standardized regression coefficients (Reg. Coef.), p value (Pval), mapped gene (GENE), gene region (Genomic Region), are reported. AGE = age of onset; ANS = autonomic nervous system; CTS = carpal tunnel syndrome; EYE = ocular involvement; GI = gastrointestinal involvement; HEA = cardiac involvement; PNS = peripheral nervous system. Red and underlined text = significant results surviving Bonferroni correction. Red text = nominally significant results.
DOI: 10.6084/m9.figshare.13250981
title: Additional file 2 of Serotyping and pathotyping of Glaesserella parasuis isolated 2012–2019 in Germany comparing different PCR-based methods

description: Additional file 2. Primers used in this study.
DOI: 10.6084/m9.figshare.13250981.v1
title: Additional file 2 of Serotyping and pathotyping of Glaesserella parasuis isolated 2012–2019 in Germany comparing different PCR-based methods

description: Additional file 2. Primers used in this study.
DOI: 10.6084/m9.figshare.13250987
title: Additional file 4 of Serotyping and pathotyping of Glaesserella parasuis isolated 2012–2019 in Germany comparing different PCR-based methods

description: Additional file 4. Raw data for G. parasuis isolates in this study.
DOI: 10.6084/m9.figshare.13250969.v1
title: Additional file 5 of Epigenetic profiling of Italian patients identified methylation sites associated with hereditary transthyretin amyloidosis

description: Additional file 5. Association of cg13139646 co-methylated CpG sites (Pearson’s r2 &gt; 0.2) with i) carrier status (cases vs. controls), ii) disease status (cases vs. asymptomatic) and, iii) symptoms (AGE, ANS, CTS, EYE, GI, HEA, PNS). Information about cg probe (cgID), chromosome localization (CHR), position (POS), determination coefficient (Pearson’s r2), standardized regression coefficients (Reg. Coef.), p value (Pval), mapped gene (GENE), gene region (Genomic Region), are reported. AGE = age of onset; ANS = autonomic nervous system; CTS = carpal tunnel syndrome; EYE = ocular involvement; GI = gastrointestinal involvement; HEA = cardiac involvement; PNS = peripheral nervous system. Red and underlined text = significant results surviving Bonferroni correction. Red text = nominally significant results.
DOI: 10.6084/m9.figshare.13250987.v1
title: Additional file 4 of Serotyping and pathotyping of Glaesserella parasuis isolated 2012–2019 in Germany comparing different PCR-based methods

description: Additional file 4. Raw data for G. parasuis isolates in this study.
DOI: 10.6084/m9.figshare.13251005
title: Additional file 1 of Clover: a clustering-oriented de novo assembler for Illumina sequences

description: Clover source code for Linux. Please refer to ‘Installation of Clover’.
DOI: 10.6084/m9.figshare.13251005.v1
title: Additional file 1 of Clover: a clustering-oriented de novo assembler for Illumina sequences

description: Clover source code for Linux. Please refer to ‘Installation of Clover’.
DOI: 10.6084/m9.figshare.13251053.v1
title: Additional file 2 of Pitchers of Nepenthes khasiana express several digestive-enzyme encoding genes, harbor mostly fungi and probably evolved through changes in the expression of leaf polarity genes

description: Additional file 2: Table S4. List of transcripts encoding enzymes involved in prey digestion and plant defense in N. khasiana.
DOI: 10.6084/m9.figshare.13251059
title: Additional file 4 of Pitchers of Nepenthes khasiana express several digestive-enzyme encoding genes, harbor mostly fungi and probably evolved through changes in the expression of leaf polarity genes

description: Additional file 4: Table S6. List of transcripts of bacterial origin.
DOI: 10.6084/m9.figshare.13251056.v1
title: Additional file 3 of Pitchers of Nepenthes khasiana express several digestive-enzyme encoding genes, harbor mostly fungi and probably evolved through changes in the expression of leaf polarity genes

description: Additional file 3: Table S5. List of transcripts encoding enzymes involved in prey digestion and plant defense detected in the unopened pitchers of N. khasiana.
DOI: 10.6084/m9.figshare.13251065
title: Additional file 6 of Pitchers of Nepenthes khasiana express several digestive-enzyme encoding genes, harbor mostly fungi and probably evolved through changes in the expression of leaf polarity genes

description: Additional file 6: Table S8. List of transcripts of bacterial origin detected in the unopened pitchers of N. Khasiana.
DOI: 10.6084/m9.figshare.13251053
title: Additional file 2 of Pitchers of Nepenthes khasiana express several digestive-enzyme encoding genes, harbor mostly fungi and probably evolved through changes in the expression of leaf polarity genes

description: Additional file 2: Table S4. List of transcripts encoding enzymes involved in prey digestion and plant defense in N. khasiana.
DOI: 10.6084/m9.figshare.13251056
title: Additional file 3 of Pitchers of Nepenthes khasiana express several digestive-enzyme encoding genes, harbor mostly fungi and probably evolved through changes in the expression of leaf polarity genes

description: Additional file 3: Table S5. List of transcripts encoding enzymes involved in prey digestion and plant defense detected in the unopened pitchers of N. khasiana.
DOI: 10.6084/m9.figshare.13251065.v1
title: Additional file 6 of Pitchers of Nepenthes khasiana express several digestive-enzyme encoding genes, harbor mostly fungi and probably evolved through changes in the expression of leaf polarity genes

description: Additional file 6: Table S8. List of transcripts of bacterial origin detected in the unopened pitchers of N. Khasiana.
DOI: 10.6084/m9.figshare.13251062.v1
title: Additional file 5 of Pitchers of Nepenthes khasiana express several digestive-enzyme encoding genes, harbor mostly fungi and probably evolved through changes in the expression of leaf polarity genes

description: Additional file 5: Table S7. List of transcripts of fungal origin.
DOI: 10.6084/m9.figshare.13251059.v1
title: Additional file 4 of Pitchers of Nepenthes khasiana express several digestive-enzyme encoding genes, harbor mostly fungi and probably evolved through changes in the expression of leaf polarity genes

description: Additional file 4: Table S6. List of transcripts of bacterial origin.
DOI: 10.6084/m9.figshare.13251062
title: Additional file 5 of Pitchers of Nepenthes khasiana express several digestive-enzyme encoding genes, harbor mostly fungi and probably evolved through changes in the expression of leaf polarity genes

description: Additional file 5: Table S7. List of transcripts of fungal origin.
DOI: 10.6084/m9.figshare.13251068
title: Additional file 7 of Pitchers of Nepenthes khasiana express several digestive-enzyme encoding genes, harbor mostly fungi and probably evolved through changes in the expression of leaf polarity genes

description: Additional file 7: Table S9. List of transcripts of fungal origin detected in the unopened pitchers of N. khasiana.
DOI: 10.6084/m9.figshare.13251068.v1
title: Additional file 7 of Pitchers of Nepenthes khasiana express several digestive-enzyme encoding genes, harbor mostly fungi and probably evolved through changes in the expression of leaf polarity genes

description: Additional file 7: Table S9. List of transcripts of fungal origin detected in the unopened pitchers of N. khasiana.
DOI: 10.21227/s9q0-fe40
title: Codes for Response Letter of Paper TPWRS-00778-2020

description: Thecompressed (. zip) file includes the codes for Response Letter of Paper TPWRS-00778-2020.
DOI: 10.17632/2vyxzbm5y6.1
title: Data for: Development of a novel 7 immune-related genes prognostic model for oral cancer: a study based on TCGA database.

description: The different expressed immune-related genens, Tfs and clinical data from TCGA
DOI: 10.25345/c5578h
title: MassIVE MSV000086472 - GNPS-KHAN_mzML_file_for_biosurfactants_11182020
title: Huazhong University of Science and Technology, Wuhan, People Republic of China
DOI: 10.21227/9gsk-nf52
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: Coronavirus (COVID-19) Tweets Sentiment Trend (Global), Coronavirus (COVID-19) Tweets Dataset and Tweets Originating from India During COVID-19 Lockdowns 1, 2, 3, 4-------------------------------------Below is the quick overview of this dataset.— Dataset name: GeoCOV19Tweets Dataset— Number of tweets : 264,007 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: 10.5519/qd.cpw0hk36
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (67042 records)
DOI: 10.25442/hku.12813227
title: Acceptance of Outgroup Members in Schools: Developmental Trends and Roles of Perceived Norm of Prejudice and Teacher Support

description: Data set collected at primary and secondary schools on ethnic majority and minority students acceptance of outgroup members in schools
DOI: 10.25442/hku.12813227.v1
title: Acceptance of Outgroup Members in Schools: Developmental Trends and Roles of Perceived Norm of Prejudice and Teacher Support

description: Data set collected at primary and secondary schools on ethnic majority and minority students acceptance of outgroup members in schools
DOI: 10.6084/m9.figshare.13246790.v3
title: The source data for Supplementary Figure 6

description: DR2 and MAF score data from Imputation results of genotypes from 4.5 million SNPs from 481 Glycine max accessions into 8,844 samples genotyped with the SoySNP50K array
DOI: 10.6084/m9.figshare.13251185.v1
title: Untitled Item

description: This study aims to disentangle how plant-environment relationships vary with latitude and among plant taxa. We collected global distribution occurrence data of plant groups (625 families, 6,221 genera, and 54,101 species). We used random forest to quantify the relative importance of 15 environmental factors (including climate, soil and topography) on plant distributions at global and regional scales (divided into different latitude zones). We also used phylogenetic generalized least square (PGLS) model to investigate the relationship between environmental variables and geographical range size, latitudinal range and limits of plants at the global scale.<br>The occurrence records of global plant families/genera/species were downloaded from GBIF database. Associated environmental variables were derived from multiple global databases, according to the coodinates of plants occurrences. All raw data were manipulated in R program to cope with data bias in some extents.
DOI: 10.6084/m9.figshare.13251116.v1
title: Environmental drivers of plant distributions at global and regional scales

description: Occurrence records of global plant families/genera/species were downloaded from GBIF database. Associated environmental variables were derived from multiple global databases, according to the coodinates of plants occurrences. All raw data were manipulated in R program to cope with data bias in some extents. <br>