cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.21351292.v1
title: Additional file 1 of A web-based database server using 43,710 public RNA-seq samples for the analysis of gene expression and alternative splicing in livestock animals

description: Additional file 1: Table S1. All SRA accessions used in this study. Table S2. Improvement of gene annotation. Table S3. Enriched GO terms on differentially expressed genes (D-36h vs D-24h). Table S4. Enriched GO terms on differentially alternative splicing genes (D-36h vs D-24h). Table S5. Enriched pathways on differentially expressed genes (D-36h vs D-24h). Table S6. Enriched pathways on differentially alternative splicing genes (D-36h vs D-24h). Table S7. Enriched GO terms on differentially expressed genes (DT-24h vs D-24h). Table S8. Enriched GO terms on differentially alternative splicing genes (DT-24h vs D-24h). Table S9. Enriched pathways on differentially expressed genes (DT-24h vs D-24h). Table S10. Enriched pathways on differentially alternative splicing genes (DT-24h vs D-24h). Table S11. Enriched GO terms on differentially expressed genes (DT-36h vs D-36h). Table S12. Enriched GO terms on differentially alternative splicing genes (DT-36h vs D-36h). Table S13. Enriched pathways on differentially expressed genes (DT-36h vs D-36h). Table S14. Enriched pathways on differentially alternative splicing genes (DT-36h vs D-36h).
DOI: 10.6084/m9.figshare.21351298
title: Additional file 2 of A quantitative metric of pioneer activity reveals that HNF4A has stronger in vivo pioneer activity than FOXA1

description: Additional file 2: Table S1. Dox50 values at TFBSs with hg19 coordinates.
DOI: 10.6084/m9.figshare.21351298.v1
title: Additional file 2 of A quantitative metric of pioneer activity reveals that HNF4A has stronger in vivo pioneer activity than FOXA1

description: Additional file 2: Table S1. Dox50 values at TFBSs with hg19 coordinates.
DOI: 10.6084/m9.figshare.21351302
title: Additional file 2 of Blood transcriptomics to facilitate diagnosis and stratification in pediatric rheumatic diseases – a proof of concept study

description: Supplementary Material 2
DOI: 10.6084/m9.figshare.21351302.v1
title: Additional file 2 of Blood transcriptomics to facilitate diagnosis and stratification in pediatric rheumatic diseases – a proof of concept study

description: Supplementary Material 2
DOI: 10.6084/m9.figshare.21351305
title: Additional file 3 of Blood transcriptomics to facilitate diagnosis and stratification in pediatric rheumatic diseases – a proof of concept study

description: Supplementary Material 3
DOI: 10.6084/m9.figshare.21351305.v1
title: Additional file 3 of Blood transcriptomics to facilitate diagnosis and stratification in pediatric rheumatic diseases – a proof of concept study

description: Supplementary Material 3
DOI: 10.6084/m9.figshare.21351308
title: Additional file 4 of Blood transcriptomics to facilitate diagnosis and stratification in pediatric rheumatic diseases – a proof of concept study

description: Supplementary Material 4
DOI: 10.6084/m9.figshare.21351308.v1
title: Additional file 4 of Blood transcriptomics to facilitate diagnosis and stratification in pediatric rheumatic diseases – a proof of concept study

description: Supplementary Material 4
DOI: 10.6084/m9.figshare.21351311
title: Additional file 5 of Blood transcriptomics to facilitate diagnosis and stratification in pediatric rheumatic diseases – a proof of concept study

description: Supplementary Material 5
DOI: 10.6084/m9.figshare.21351311.v1
title: Additional file 5 of Blood transcriptomics to facilitate diagnosis and stratification in pediatric rheumatic diseases – a proof of concept study

description: Supplementary Material 5
DOI: 10.6084/m9.figshare.21351314
title: Additional file 6 of Blood transcriptomics to facilitate diagnosis and stratification in pediatric rheumatic diseases – a proof of concept study

description: Supplementary Material 6
DOI: 10.6084/m9.figshare.21351314.v1
title: Additional file 6 of Blood transcriptomics to facilitate diagnosis and stratification in pediatric rheumatic diseases – a proof of concept study

description: Supplementary Material 6
DOI: 10.6084/m9.figshare.21351337.v1
title: Additional file 3 of Intestine-derived α-synuclein initiates and aggravates pathogenesis of Parkinson’s disease in Drosophila

description: Additional file 3. Table S3: The list of genes with significant changes in RNA-seq analysis.
DOI: 10.6084/m9.figshare.21351337
title: Additional file 3 of Intestine-derived α-synuclein initiates and aggravates pathogenesis of Parkinson’s disease in Drosophila

description: Additional file 3. Table S3: The list of genes with significant changes in RNA-seq analysis.
DOI: 10.6084/m9.figshare.21351340.v1
title: Additional file 4 of Intestine-derived α-synuclein initiates and aggravates pathogenesis of Parkinson’s disease in Drosophila

description: Additional file 4. Table S4: The list of bacteria identified on the genera by 16S rRNA analysis.
DOI: 10.6084/m9.figshare.21351340
title: Additional file 4 of Intestine-derived α-synuclein initiates and aggravates pathogenesis of Parkinson’s disease in Drosophila

description: Additional file 4. Table S4: The list of bacteria identified on the genera by 16S rRNA analysis.
DOI: 10.6084/m9.figshare.21351383
title: Additional file 1 of Effect of contamination of bulk-fill flowable resin composite with different contaminants during packing on its surface microhardness and compressive strength: in vitro study

description: Additional file 1. Original Data of microhardness and compressive strength.
DOI: 10.6084/m9.figshare.21351383.v1
title: Additional file 1 of Effect of contamination of bulk-fill flowable resin composite with different contaminants during packing on its surface microhardness and compressive strength: in vitro study

description: Additional file 1. Original Data of microhardness and compressive strength.
DOI: 10.6084/m9.figshare.21351385
title: Additional file 1 of Genetic susceptibility of bladder cancer in the Lebanese population

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.21351385.v1
title: Additional file 1 of Genetic susceptibility of bladder cancer in the Lebanese population

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.21351388
title: Additional file 2 of Genetic susceptibility of bladder cancer in the Lebanese population

description: Supplementary Material 2
DOI: 10.6084/m9.figshare.21351388.v1
title: Additional file 2 of Genetic susceptibility of bladder cancer in the Lebanese population

description: Supplementary Material 2
DOI: 10.6084/m9.figshare.21351443
title: Additional file 5 of Identifying the presence and severity of dementia by applying interpretable machine learning techniques on structured clinical records

description: Additional file 5: Table S1.Optima dataset feature guide in excel format
DOI: 10.6084/m9.figshare.21351443.v1
title: Additional file 5 of Identifying the presence and severity of dementia by applying interpretable machine learning techniques on structured clinical records

description: Additional file 5: Table S1.Optima dataset feature guide in excel format
DOI: 10.6084/m9.figshare.21351461
title: Additional file 3 of Construction of mRNA prognosis signature associated with differentially expressed genes in early stage of stomach adenocarcinomas based on TCGA and GEO datasets

description: Additional file 3: Table S1. The sequences of primers used in this study.
DOI: 10.6084/m9.figshare.21351461.v1
title: Additional file 3 of Construction of mRNA prognosis signature associated with differentially expressed genes in early stage of stomach adenocarcinomas based on TCGA and GEO datasets

description: Additional file 3: Table S1. The sequences of primers used in this study.
DOI: 10.6084/m9.figshare.21351464
title: Additional file 4 of Construction of mRNA prognosis signature associated with differentially expressed genes in early stage of stomach adenocarcinomas based on TCGA and GEO datasets

description: Additional file 4: Table S2. GO terms enriched the genes differentially expressed associated with early-stage STAD.
DOI: 10.6084/m9.figshare.21351464.v1
title: Additional file 4 of Construction of mRNA prognosis signature associated with differentially expressed genes in early stage of stomach adenocarcinomas based on TCGA and GEO datasets

description: Additional file 4: Table S2. GO terms enriched the genes differentially expressed associated with early-stage STAD.
DOI: 10.6084/m9.figshare.21351470
title: Additional file 6 of Construction of mRNA prognosis signature associated with differentially expressed genes in early stage of stomach adenocarcinomas based on TCGA and GEO datasets

description: Additional file 6: Table S4. GO terms enriched the genes differentially expressed associated with the high-risk vs. low-risk group patients with STAD.
DOI: 10.6084/m9.figshare.21351470.v1
title: Additional file 6 of Construction of mRNA prognosis signature associated with differentially expressed genes in early stage of stomach adenocarcinomas based on TCGA and GEO datasets

description: Additional file 6: Table S4. GO terms enriched the genes differentially expressed associated with the high-risk vs. low-risk group patients with STAD.
DOI: 10.6084/m9.figshare.21351473
title: Additional file 7 of Construction of mRNA prognosis signature associated with differentially expressed genes in early stage of stomach adenocarcinomas based on TCGA and GEO datasets

description: Additional file 7: Table S5. KEGG pathways enriched the genes differentially expressed associated with the high-risk vs. low-risk group patients with STAD.
DOI: 10.6084/m9.figshare.21351473.v1
title: Additional file 7 of Construction of mRNA prognosis signature associated with differentially expressed genes in early stage of stomach adenocarcinomas based on TCGA and GEO datasets

description: Additional file 7: Table S5. KEGG pathways enriched the genes differentially expressed associated with the high-risk vs. low-risk group patients with STAD.
DOI: 10.5281/zenodo.7218947
title: The Grass Is Not Greener on the Other Side: The Role of Attention in Voting Behavior

description: Replication script and data for paper "The Grass Is Not Greener on the Other Side: The Role of Attention in Voting Behavior". The replication script (replication_code.R) is looking for the data in a directory ./DATA. Specifically, it reads data from .RData file (data_replication.RData) with the following variables: year ... Election year/Election ID, ballot ... Ballot ID -- a combination of KSTRANA (election-specific party ID), VOLKRAJ (constituency ID) and year, pref_hlasy ... Number of preferential votes (n), otherside ... Indicator variable for candidates listed on the reverse side, male ... Indicator variable for males, agecat ... Age category, VEK ... Age, ISCO ... ISCO 1 (other -- not categorized in ISCO), maxBallot ... Total number of candidates on the ballot, POC_HLASU ... Total number of votes cast for the party, dff ... Distance to break, ISCED* ... Indicator variables for ISCED categories Dataset contains only publicly available data described in the underlying paper. Voting data available from https://www.volby.cz/opendata/opendata.htm are augmented with ISCO categories and the variable "otherside". Both were coded manually.
DOI: 10.5281/zenodo.7218946
title: The Grass Is Not Greener on the Other Side: The Role of Attention in Voting Behavior

description: Replication script and data for paper "The Grass Is Not Greener on the Other Side: The Role of Attention in Voting Behavior". The replication script (replication_code.R) is looking for the data in a directory ./DATA. Specifically, it reads data from .RData file (data_replication.RData) with the following variables: year ... Election year/Election ID, ballot ... Ballot ID -- a combination of KSTRANA (election-specific party ID), VOLKRAJ (constituency ID) and year, pref_hlasy ... Number of preferential votes (n), otherside ... Indicator variable for candidates listed on the reverse side, male ... Indicator variable for males, agecat ... Age category, VEK ... Age, ISCO ... ISCO 1 (other -- not categorized in ISCO), maxBallot ... Total number of candidates on the ballot, POC_HLASU ... Total number of votes cast for the party, dff ... Distance to break, ISCED* ... Indicator variables for ISCED categories Dataset contains only publicly available data described in the underlying paper. Voting data available from https://www.volby.cz/opendata/opendata.htm are augmented with ISCO categories and the variable "otherside". Both were coded manually.
DOI: 10.6073/pasta/71069722bb01aed3fbf4457442ff59bb
title: Long-term climate indices (SPEI and scPDSI) derived from monthly meteorology data collected at USHCN stations in the northern Chihuahuan Desert of the United States, 1911-2021

description: Drought indices — Standardized Precipitation Evapotranspiration Index (SPEI) and the self-calibrating Palmer Drought Severity Index (scPDSI) —where derived from 9 United States Historical Climate Network (USHCN) stations on the Chihuahuan Desert in North America for this dataset. USHCN is a subset of the NOAA Cooperative Observer Program (COOP) Network, which consists of selected sites based on spatial coverages and completeness of data. Monthly precipitation depths, minimum, maximum and mean temperature were pulled from the dataset. These drought indices were derived using the SPEI package and scPDSI packages in R. Potential evapotranspiration was also calculated in R using the Thornthwaite method. All 9 sites are within the bounds of the Chihuahuan Desert in the state of New Mexico, with a single site (EL PASO) in the state of Texas.
DOI: 10.21227/kacv-j592
title: Foot arches

description: This dataset is a private foot pressure image dataset, including 317 images of high arches, 217 images of flat feet, and 362 images of normal feet.
DOI: 10.6084/m9.figshare.13297778
title: Rapid divergence of key spermatogenesis genes in nasuta-subgroup of Drosophila

description: 11 spermatogenesis genes with key role in early, mid and late stages of spermatogenesis are annotated using the assembled genomes of 38 strains of Drosophila species belonging to nasuta-subgroup. The Coding DNA Sequences of these genes were subjected to various selection analysis using PAML and HyPhy to infer the mode and strength of selection acting on these genes in the phylogenetic framework.<br>
DOI: 10.6084/m9.figshare.13297778.v1
title: Rapid divergence of key spermatogenesis genes in nasuta-subgroup of Drosophila

description: 11 spermatogenesis genes with key role in early, mid and late stages of spermatogenesis are annotated using the assembled genomes of 38 strains of Drosophila species belonging to nasuta-subgroup. The Coding DNA Sequences of these genes were subjected to various selection analysis using PAML and HyPhy to infer the mode and strength of selection acting on these genes in the phylogenetic framework.<br>
DOI: 10.6084/m9.figshare.19291391
title: Dissection of mating signal modalities in nasuta-subgroup of Drosophila

description: The data-set consists of the timing data of mating behavior of <i>Drosophila nasuta</i> under ablation of different signalling structures. <br>
DOI: 10.6084/m9.figshare.19291391.v1
title: Dissection of mating signal modalities in nasuta-subgroup of Drosophila

description: The data-set consists of the timing data of mating behavior of <i>Drosophila nasuta</i> under ablation of different signalling structures. <br>
DOI: 10.6084/m9.figshare.21352872.v1
title: Molecular evolution of mating plug genes

description: Seminal fluid proteins (SPFs) in <em>Drosophila</em> show an unusually rapid molecular sequence evolution. SPFs are a major player in post-mating interactions and potential targets of postcopulatory sexual selection (PCSC). Mating plug (MP) proteins are a class of SPFs transferred to females along with the ejaculate. These proteins coagulate to form a plug in the female reproductive tract to delay the female remating. Female being polyandrous, stores males’ sperms and expels the rest of the ejaculate in order to remate. These different reproductive strategies of males and females can cause a potential conflict between the genes involves in this interaction and drive the evolution of proteins. Here, we report the molecular evolution of MP proteins <em>EbpI</em> and <em>EbpIII</em> present in <em>Drosophila</em> sub-genus. We focused on a young cluster of <em>Drosophila</em> species called <em>nasuta</em> subgroup, which offers the best model to study molecular evolution of fast-evolving proteins. We report <em>EbpI</em> duplication in the branch leading to <em>nasuta</em>-subgroup, which evolves under positive selection, while the duplicate does not. The positively selected sites are located in the structurally important region of <em>EbpI</em>. <em>EbpIII</em>, which belongs to a multi-gene family, showed evidence of birth and death evolution. We identified two functional copies and a pseudogenized copy of <em>EbpIII</em> across the <em>virilis</em> and <em>nasuta</em>-subgroups. Of the three functional copies, only <em>EbpIIIa</em> showed signature of positive selection in one of the selection tests. Our results suggest that the mating plug proteins rapidly diversify in <em>nasuta</em>-subgroup and potentially play a role in post-mating, prezygotic reproductive isolation.
DOI: 10.6084/m9.figshare.21352872
title: Molecular evolution of mating plug genes

description: Seminal fluid proteins (SPFs) in <em>Drosophila</em> show an unusually rapid molecular sequence evolution. SPFs are a major player in post-mating interactions and potential targets of postcopulatory sexual selection (PCSC). Mating plug (MP) proteins are a class of SPFs transferred to females along with the ejaculate. These proteins coagulate to form a plug in the female reproductive tract to delay the female remating. Female being polyandrous, stores males’ sperms and expels the rest of the ejaculate in order to remate. These different reproductive strategies of males and females can cause a potential conflict between the genes involves in this interaction and drive the evolution of proteins. Here, we report the molecular evolution of MP proteins <em>EbpI</em> and <em>EbpIII</em> present in <em>Drosophila</em> sub-genus. We focused on a young cluster of <em>Drosophila</em> species called <em>nasuta</em> subgroup, which offers the best model to study molecular evolution of fast-evolving proteins. We report <em>EbpI</em> duplication in the branch leading to <em>nasuta</em>-subgroup, which evolves under positive selection, while the duplicate does not. The positively selected sites are located in the structurally important region of <em>EbpI</em>. <em>EbpIII</em>, which belongs to a multi-gene family, showed evidence of birth and death evolution. We identified two functional copies and a pseudogenized copy of <em>EbpIII</em> across the <em>virilis</em> and <em>nasuta</em>-subgroups. Of the three functional copies, only <em>EbpIIIa</em> showed signature of positive selection in one of the selection tests. Our results suggest that the mating plug proteins rapidly diversify in <em>nasuta</em>-subgroup and potentially play a role in post-mating, prezygotic reproductive isolation.
DOI: 10.34740/kaggle/dsv/4344473
title: Ukraine Conflict Twitter Dataset (53.60M tweets)
DOI: 10.5281/zenodo.5862155
title: Gewandhaus repertoire research dataset 1781–1895

description: This dataset contains the listed repertoire (played works) of the Gewandhausorchestra in Leipzig from 1781–1895. Every case is represented by a work and its performance date and each work is enriched by a number of categories like "language of vocal work", "nationality of composer" and "genre". The research data is the main product of the dissertation "Repertoire and canon", &lt;https://nbn-resolving.org/urn:nbn:de:bsz:15-qucosa2-810514&gt;
description: The dissertation was funded by the Gerda Henkel Stiftung
DOI: 10.5281/zenodo.5862156
title: Gewandhaus repertoire research dataset 1781–1895

description: This dataset contains the listed repertoire (played works) of the Gewandhausorchestra in Leipzig from 1781–1895. Every case is represented by a work and its performance date and each work is enriched by a number of categories like "language of vocal work", "nationality of composer" and "genre". The research data is the main product of the dissertation "Repertoire and canon". [Not yet published]
description: The dissertation is funded by the Gerda Henkel Stiftung
DOI: 10.5281/zenodo.5995965
title: Gewandhaus repertoire research dataset 1781–1895

description: This dataset contains the listed repertoire (played works) of the Gewandhausorchestra in Leipzig from 1781–1895. Every case is represented by a work and its performance date and each work is enriched by a number of categories like "language of vocal work", "nationality of composer" and "genre". The research data is the main product of the dissertation "Repertoire and canon", &lt;https://nbn-resolving.org/urn:nbn:de:bsz:15-qucosa2-810514&gt;
description: The dissertation was funded by the Gerda Henkel Stiftung
DOI: 10.5281/zenodo.5815138
title: Gewandhaus repertoire levels for composers and works 1800–1895

description: These datasets contain lists of composers and works that were part of the Leipzig Gewandhausorchestra's repertoire in the years 1800–1895. They have been ascribed to 5 different repertoire levels (core, 1, 2, 3, 4) on account of their appearance during each season. To gain comparability the evaluation period has been split up into two segments, before and after 1848. For instance: Beethoven's Eroica has been played in each season in the second half, therefore it is assigned the count "47". core (K): 43–47 (90–100 %)<br> 1: 33–42 (70–89 %)<br> 2: 19–32 (40–69 %)<br> 3: 6–18 (13–39 %)<br> 4: 1–5 (1–11 %) This dataset is used in the dissertation "Repertoire and canon", &lt;https://nbn-resolving.org/urn:nbn:de:bsz:15-qucosa2-810514&gt;.
description: The dissertation was funded by the Gerda Henkel Stiftung.
DOI: 10.5281/zenodo.5815139
title: Gewandhaus repertoire levels for composers and works 1800–1895

description: These datasets contain lists of composers and works that were part of the Leipzig Gewandhausorchestra's repertoire in the years 1800–1895. They have been ascribed to 5 different repertoire levels (core, 1, 2, 3, 4) on account of their appearance during each season. To gain comparability the evaluation period has been split up into two segments, before and after 1848. For instance: Beethoven's Eroica has been played in each season in the second half, therefore it is assigned the count "47". This dataset is used in the dissertation "Repertoire and canon" [not yet published].
description: The dissertation is funded by the Gerda Henkel Stiftung
DOI: 10.5281/zenodo.5815213
title: Gewandhaus repertoire levels for composers and works 1800–1895

description: These datasets contain lists of composers and works that were part of the Leipzig Gewandhausorchestra's repertoire in the years 1800–1895. They have been ascribed to 5 different repertoire levels (core, 1, 2, 3, 4) on account of their appearance during each season. To gain comparability the evaluation period has been split up into two segments, before and after 1848. For instance: Beethoven's Eroica has been played in each season in the second half, therefore it is assigned the count "47". This dataset is used in the dissertation "Repertoire and canon" [not yet published].
description: The dissertation is funded by the Gerda Henkel Stiftung