cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5940101
title: Ballistic capture sets at Mars using Differential Algebra with initial epoch December 9, 2023

description: The data set is made of two items containing initial sub-domains of inconsistent, weakly-stable, unstable, crash, moon-crash, and capture sets at Mars [1]. They are compressed files that contain a classification of the sub-domains of the search-space defined and used to compute the consistency and quality criteria of the differential algebra mapping, as well as graphical representations of the search space. All initial sub-domains have initial epoch 09 DEC 2023 00:45:18.363 (UTC). The search space is built to maximize the capture ratio for Mars (see Figure 10 in [2]). Initial sub-domains are propagated in high-fidelity. The equations of motion of the restricted n-body problem including solar radiation pressure are considered. The first item contains a low-resolution mapping. The search space is divided 32 times along the radius of the periapsis and the argument of the periapsis. The maximum depth of the Automatic Domain Splitting algorithm is 9 splits [3]. The first item contains a high-resolution mapping. The search space is divided 128 times along the radius of the periapsis and the argument of the periapsis. The maximum depth of the Automatic Domain Splitting algorithm is 10 splits [3]. The data set is associated to the following journal article: Article: Stable sets mapping with Taylor differential algebra with application to ballistic capture orbits around Mars Journal: Celestial Mechanics and Dynamical Astronomy Authors: Thomas Caleb (corresponding author: thomas.caleb@student.isae-supaero.fr), Gianmario Merisio, Pierluigi di Lizia, and Francesco Topputo DOI: 10.1007/s10569-022-10090-8 <strong>References</strong><br> [1] F. Topputo and E. Belbruno,'Earth–Mars transfers with ballistic capture', Celestial Mechanics and Dynamical Astronomy, Vol. 121, No. 4, 2015, pp. 329-346. DOI: 10.1007/s10569-015-9605-8<br> [2] Z.-F. Luo and F. Topputo, 'Analysis of ballistic capture in Sun–planet models', Advances in Space Research, Vol. 56, No. 6, 2015, pp. 1030-1041. DOI: 10.1016/j.asr.2015.05.042<br> [3] A. Wittig, P. Di Lizia, et al., Propagation of large uncertainty sets in orbital dynamics by automatic domain splitting', Celestial Mechanics and Dynamical Astronomy, Vol. 122, No. 3, 2015, pp. 239-261. DOI: 10.1007/s10569-015-9618-3
DOI: 10.5281/zenodo.6823069
title: Educar en Contingencia: Estudiantes de Primaria

description: El objetivo de la investigación fue analizar el aprendizaje y el bienestar socioemocional de los(as) estudiantes y docentes de Instituciones de Educación Superior pública y particular en México, a partir del uso de estrategias didáctico-tecnológicas que emplean durante el periodo de cuarentena, tomando como punto de partida la identificación de incidentes críticos asociados a la vida escolar durante el período de la cuarentena. Se aplicaron cuestionarios autoadministrados, el tipo de muestra fue no probabilística, por conveniencia a través de Google Forms. Por cuestiones de confidencialidad y anonimato se eliminaron posibles variables de identificación. Estas bases corresponden a los estudiantes de primaria mexicanos.
DOI: 10.5281/zenodo.6823068
title: Educar en Contingencia: Estudiantes de Primaria

description: El objetivo de la investigación fue analizar el aprendizaje y el bienestar socioemocional de los(as) estudiantes y docentes de Instituciones de Educación Superior pública y particular en México, a partir del uso de estrategias didáctico-tecnológicas que emplean durante el periodo de cuarentena, tomando como punto de partida la identificación de incidentes críticos asociados a la vida escolar durante el período de la cuarentena. Se aplicaron cuestionarios autoadministrados, el tipo de muestra fue no probabilística, por conveniencia a través de Google Forms. Por cuestiones de confidencialidad y anonimato se eliminaron posibles variables de identificación. Estas bases corresponden a los estudiantes de primaria mexicanos.
DOI: 10.5281/zenodo.6826874
title: Discovering molecular regulators of ageing using mixture models with RNA-sequencing data

description: Identifying the molecular regulators that control ageing is challenging because the ageing process is influenced by a combination of genetic and environmental factors which makes it difficult to source the contribution of a single gene. Multiple studies have demonstrated that as humans age, increased gene expression heterogeneity results in the dysregulation of key regulators and pathways. Given the dynamic nature of gene expression, it is vital that this data be modelled by statistical approaches that can appropriately account for changes in variability to understand the contribution of heterogeneity during the aging process and properly identify its regulators. This study demonstrates the utility of using mixture models to model biological variability of gene expression occurring during ageing and how novel potential regulators of ageing can be identified. Our mixture modelling approach was applied to gene expression data from the Genotype-Tissue Expression (GTEx) cohort. For every gene, the expression profile was modelled using a mixture model across the cohort where the subset of donors corresponding to each mode was tested for a significant change in age group. The multi-tissue aspect of GTEx was leveraged to find ageing regulators based on this mixture model approach genes that were common across multiple tissues, suggesting that the regulation of ageing may also be controlled through a set of genes that have non-tissue-specific activity. Our approach identified well-documented ageing regulators <em>mTOR </em>and <em>RICTOR</em> and other potential ageing regulators such as <em>IL4</em> and <em>GPR4</em> which were detected only by our approach. Genes identified by edgeR, DESeq2 and the mixture model-based approach were enriched for similar biological pathways. This suggests that while the specific ageing regulators identified from our approach may be distinct, they generally belong in the same pathways as the genes identified by standard approaches. Overall, these results indicate that modelling gene expression variability using mixture models in conjunction with standard differential gene expression can help uncover new regulators that have a potential role for understanding human ageing. I
DOI: 10.5281/zenodo.6626619
title: Discovering molecular regulators of ageing using mixture models with RNA-sequencing data

description: Identifying the molecular regulators that control ageing is challenging because the ageing process is influenced by a combination of genetic and environmental factors which makes it difficult to source the contribution of a single gene. Multiple studies have demonstrated that as humans age, increased gene expression heterogeneity results in the dysregulation of key regulators and pathways. Given the dynamic nature of gene expression, it is vital that this data be modelled by statistical approaches that can appropriately account for changes in variability to understand the contribution of heterogeneity during the aging process and properly identify its regulators. This study demonstrates the utility of using mixture models to model biological variability of gene expression occurring during ageing and how novel potential regulators of ageing can be identified. Our mixture modelling approach was applied to gene expression data from the Genotype-Tissue Expression (GTEx) cohort. For every gene, the expression profile was modelled using a mixture model across the cohort where the subset of donors corresponding to each mode was tested for a significant change in age group. The multi-tissue aspect of GTEx was leveraged to find ageing regulators based on this mixture model approach genes that were common across multiple tissues, suggesting that the regulation of ageing may also be controlled through a set of genes that have non-tissue-specific activity. Our approach identified well-documented ageing regulators <em>mTOR </em>and <em>RICTOR</em> and other potential ageing regulators such as <em>IL4</em> and <em>GPR4</em> which were detected only by our approach. Genes identified by edgeR, DESeq2 and the mixture model-based approach were enriched for similar biological pathways. This suggests that while the specific ageing regulators identified from our approach may be distinct, they generally belong in the same pathways as the genes identified by standard approaches. Overall, these results indicate that modelling gene expression variability using mixture models in conjunction with standard differential gene expression can help uncover new regulators that have a potential role for understanding human ageing. I
DOI: 10.5285/e17e7db6-4a78-1a89-e053-6c86abc0253d
title: Modelled storm surge and total water level return periods along the coastline of China, Vietnam, Cambodia and Thailand (1980-2050).

description: A hydrodynamic model is used to investigate the impact that climate change would have on extreme sea levels forced by storm surges. The simulated outputs of the model include storm surge and total water levels for three hazard scenarios: the 1:10 year, the 1:100 year and the 1:1000 year return periods. This dataset provides these modelled return period outputs for the entire coastline of China, Vietnam, Cambodia and Thailand. It covers storm surge and total water levels for both past/present (1980-2018) and future scenarios (2015-2050; using SSP5-8.5 climate projections). The hydrodynamic model was able to generate new estimates of existing and future storm surge behaviour under a changing climate because of a new synthetic database representing 10,000 years of past/present and future tropical cyclone activity. It is important to estimate the risks posed by extreme sea levels, especially in tropical regions where cyclones can generate large storm surges and observations are too limited in time and space to deliver reliable analyses. That is why this dataset was produced by Principal Investigator Dr Ivan D Haigh and Dr Melissa Wood from the School of Ocean and Earth Science, National Oceanography Centre, University of Southampton, in collaboration with the Southern Institute of Water Resource Research (SIWRR), School of Geography and Environmental Science, University of Southampton, the Tyndall Centre for Climate Change Research at the University of East Anglia and the Institute for Environmental Studies (IVM) under NERC Grant CompFlood (grant number NE/S003150/1).
DOI: 10.6084/m9.figshare.20300235
title: Genotype Data.xlsx

description: This is data of five genetic mutations. we have done genotyping of five variants for different genes related to cardiovascular sysytem.
DOI: 10.25403/upresearchdata.20296602
title: Bradyrhizobium and mesorhizobium strains in indigenous South African legumes

description: Supplementary tables of b<em>radyrhizobium</em> and m<em>esorhizobium </em>strain information regarding host, source, country of isolation, accession numbers, and references used for construction of both housekeeping and symbiotic gene phylogenies. Supplementary figures include a maximum likelihood of phylogeny of a multi locus sequence analysis (MLSA) phylogeny constructed in RAXML including all type strains as well Genisteae associated b<em>radyrhizobium</em> strains, as well as <em>nodA</em> and <em>nifH </em>maximum likelihood phylogenies of m<em>esorhizobium</em> and b<em>radyrhizobium </em>strains. The <em>nodA</em> and <em>nifH </em>aligned nucleotide dataset was converted into haplotypes using the DNASP6 programme, translated into amino acid data which was used to construct ML phylogenies in RAXML. The symbiotic loci phylogenegies where used to evaluate the evolutionary histories of our strains as well as any host or phylogeographic patterns.
DOI: 10.25403/upresearchdata.20296602.v1
title: Bradyrhizobium and mesorhizobium strains in indigenous South African legumes

description: Supplementary tables of b<em>radyrhizobium</em> and m<em>esorhizobium </em>strain information regarding host, source, country of isolation, accession numbers, and references used for construction of both housekeeping and symbiotic gene phylogenies. Supplementary figures include a maximum likelihood of phylogeny of a multi locus sequence analysis (MLSA) phylogeny constructed in RAXML including all type strains as well Genisteae associated b<em>radyrhizobium</em> strains, as well as <em>nodA</em> and <em>nifH </em>maximum likelihood phylogenies of m<em>esorhizobium</em> and b<em>radyrhizobium </em>strains. The <em>nodA</em> and <em>nifH </em>aligned nucleotide dataset was converted into haplotypes using the DNASP6 programme, translated into amino acid data which was used to construct ML phylogenies in RAXML. The symbiotic loci phylogenegies where used to evaluate the evolutionary histories of our strains as well as any host or phylogeographic patterns.
DOI: 10.5281/zenodo.6826979
title: Erythroxylum platyclados SPAdes preassembly

description: .
DOI: 10.5281/zenodo.6826978
title: Erythroxylum platyclados SPAdes preassembly

description: .
DOI: 10.5281/zenodo.6826997
title: Additional Supporting Information to 'Quantifying the Contribution of Ocean Mesoscale Eddies to Low Oxygen Extreme Events.'

description: Additional Supporting Information to 'Quantifying the Contribution of Ocean Mesoscale Eddies to Low Oxygen Extreme Events.'. Submitted to Geophysical Research Letters for publication. 2022. NetCDF files and Python NumPy arrays of data used to create all figures in the manuscript main text and supporting information.
DOI: 10.5281/zenodo.6826996
title: Additional Supporting Information to 'Quantifying the Contribution of Ocean Mesoscale Eddies to Low Oxygen Extreme Events.'

description: Additional Supporting Information to 'Quantifying the Contribution of Ocean Mesoscale Eddies to Low Oxygen Extreme Events.'. Submitted to Geophysical Research Letters for publication. 2022. NetCDF files and Python NumPy arrays of data used to create all figures in the manuscript main text and supporting information.
DOI: 10.5281/zenodo.6827004
title: Deep learning dataset : finite element stress analysis of biaxial specimen with random elastic properties - 100 samples

description: Dataset finite element stress analysis of biaxial specimen with random elastic properties Unzip and execute dataset.py to visualise data samples. PyVista needs to be installed
DOI: 10.14278/rodare.1807
title: Data publication: Electronic Density Response of Warm Dense Hydrogen: Ab initio Path Integral Monte Carlo Simulations

description: This repository contains the PIMC raw data for the static electronic density response of warm dense hydrogen. Units etc are the same as in the figures in the main text / supplemental material.
DOI: 10.14278/rodare.1806
title: Data publication: Electronic Density Response of Warm Dense Hydrogen: Ab initio Path Integral Monte Carlo Simulations

description: This repository contains the PIMC raw data for the static electronic density response of warm dense hydrogen. Units etc are the same as in the figures in the main text / supplemental material.
DOI: 10.5281/zenodo.6818078
title: Prevalence and Factors Associated with Salmonellosis in Chicken Brooding Farms in and Around Arba Minch Town, Gamo Zone of Ethiopia

description: We all authors have done this research entitled ‘’<strong>Prevalence and Factors Associated with Salmonellosis in Chicken Brooding Farms in and Around Arba Minch Town, Gamo Zone of Ethiopia’’ </strong>for disseminating the result of our finding to the scientific community. The research has its strength as we did on chicken brooding farms which are the emerging production system in Ethiopia context and women and young cooperatives are highly engaged in this business but they have faced health-related problems in their management system. Therefore, this research was initiated based on practical challenges observed by the authors during professional support to brooding farm owners. This research aimed to estimate the prevalence of Salmonellosis and its potential factors with their antibiotic resistance pattern in the study area because there is irrational use of antibiotics among human and animal health in the study area this might have a source of development of drug resistance in Ethiopia and the study area in particular. Furthermore the study focus on bacteriological analysis, risk factor association and drug sensitivity test due to the limitation of resource that can be baseline data for characterization.
description: this data has not been uploaded before and the data is our original data obtained from fieldwork and laboratory
DOI: 10.5281/zenodo.6818077
title: Prevalence and Factors Associated with Salmonellosis in Chicken Brooding Farms in and Around Arba Minch Town, Gamo Zone of Ethiopia

description: We all authors have done this research entitled ‘’<strong>Prevalence and Factors Associated with Salmonellosis in Chicken Brooding Farms in and Around Arba Minch Town, Gamo Zone of Ethiopia’’ </strong>for disseminating the result of our finding to the scientific community. The research has its strength as we did on chicken brooding farms which are the emerging production system in Ethiopia context and women and young cooperatives are highly engaged in this business but they have faced health-related problems in their management system. Therefore, this research was initiated based on practical challenges observed by the authors during professional support to brooding farm owners. This research aimed to estimate the prevalence of Salmonellosis and its potential factors with their antibiotic resistance pattern in the study area because there is irrational use of antibiotics among human and animal health in the study area this might have a source of development of drug resistance in Ethiopia and the study area in particular. Furthermore the study focus on bacteriological analysis, risk factor association and drug sensitivity test due to the limitation of resource that can be baseline data for characterization.
description: this data has not been uploaded before and the data is our original data obtained from fieldwork and laboratory
DOI: 10.6084/m9.figshare.20300724
title: Microarray expression profile of exosomal circRNAs

description: Interaction between the differential circRNAs and miRNAs were theoretically predicted by TargetScan and miRanda algorithm (http://www.microrna.org/microrna/home.do/). With the database, we searched miRNA response elements (MREs) on circRNAs, and selected miRNAs based on the seed-match sequences.
DOI: 10.6084/m9.figshare.20300724.v2
title: Microarray expression profile of exosomal circRNAs

description: Interaction between the differential circRNAs and miRNAs were theoretically predicted by TargetScan and miRanda algorithm (http://www.microrna.org/microrna/home.do/). With the database, we searched miRNA response elements (MREs) on circRNAs, and selected miRNAs based on the seed-match sequences.
DOI: 10.6084/m9.figshare.20300724.v1
title: Microarray expression profile of exosomal circRNAs from high glucose stimulated human renal tubular epithelial cells

description: Interaction between the differential circRNAs and miRNAs were theoretically predicted by TargetScan and miRanda algorithm (http://www.microrna.org/microrna/home.do/). With the database, we searched miRNA response elements (MREs) on circRNAs, and selected miRNAs based on the seed-match sequences.
DOI: 10.6084/m9.figshare.20220186.v1
title: Sha Yanhua supplemental table1.xlsx.xlsx

description: Interaction between the differential circRNAs and miRNAs were theoretically predicted by TargetScan and miRanda algorithm (http://www.microrna.org/microrna/home.do/). With the database, we searched miRNA response elements (MREs) on circRNAs, and selected miRNAs based on the seed-match sequences.
DOI: 10.6084/m9.figshare.20289651
title: Dataset 1

description: "Data supplementary1.csv" is the data about sensitivity at 5Hz; "Data supplementary2.csv" is the data about frequency response.
DOI: 10.6084/m9.figshare.20289651.v1
title: Dataset 1

description: "Data supplementary1.csv" is the data about sensitivity at 5Hz; "Data supplementary2.csv" is the data about frequency response. "Frequency-response program.csv" is the frequency response program based on Matlab 7.0.
DOI: 10.6084/m9.figshare.20220186
title: SYH supplemental table1

description: Interaction between the differential circRNAs and miRNAs were theoretically predicted by TargetScan and miRanda algorithm (http://www.microrna.org/microrna/home.do/). With the database, we searched miRNA response elements (MREs) on circRNAs, and selected miRNAs based on the seed-match sequences.
DOI: 10.6084/m9.figshare.20220186.v3
title: SYH supplemental table1

description: Interaction between the differential circRNAs and miRNAs were theoretically predicted by TargetScan and miRanda algorithm (http://www.microrna.org/microrna/home.do/). With the database, we searched miRNA response elements (MREs) on circRNAs, and selected miRNAs based on the seed-match sequences.
DOI: 10.6084/m9.figshare.20220186.v2
title: supplemental table1

description: Interaction between the differential circRNAs and miRNAs were theoretically predicted by TargetScan and miRanda algorithm (http://www.microrna.org/microrna/home.do/). With the database, we searched miRNA response elements (MREs) on circRNAs, and selected miRNAs based on the seed-match sequences.
DOI: 10.6084/m9.figshare.20300745
title: Crypto white papers documents

description: This is the database used in the script 'information_density_whitepapers'.
DOI: 10.6084/m9.figshare.20300751
title: supplemental table1

description: Interaction between the differential circRNAs and miRNAs were theoretically predicted by TargetScan and miRanda algorithm (http://www.microrna.org/microrna/home.do/). With the database, we searched miRNA response elements (MREs) on circRNAs, and selected miRNAs based on the seed-match sequences.
DOI: 10.6084/m9.figshare.20300751.v1
title: supplemental table1

description: Interaction between the differential circRNAs and miRNAs were theoretically predicted by TargetScan and miRanda algorithm (http://www.microrna.org/microrna/home.do/). With the database, we searched miRNA response elements (MREs) on circRNAs, and selected miRNAs based on the seed-match sequences.
DOI: 10.34740/kaggle/dsv/3938165
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.48544/39b17216-903c-4e84-a387-ff1957eb81ca
title: Enterprise Architecture for Network Organizations
DOI: 10.13120/bxf7-pb83
title: The 2013-2021 Argo float salinity dataset in the Southern Adriatic Pit
DOI: 10.6084/m9.figshare.17696699
title: Utopia and Dystopia in the age of Trump: images from literature and visual arts

description: Utopia and Dystopia in the age of Trump: images from literature and visual arts
DOI: 10.6084/m9.figshare.17696699.v1
title: Utopia and Dystopia in the age of Trump: images from literature and visual arts

description: Utopia and Dystopia in the age of Trump: images from literature and visual arts
DOI: 10.6084/m9.figshare.20222982
title: ATARI videogame code networks

description: This zip file contains the processed bipartite networks of code instruction associations for all compiled ATARI games.
DOI: 10.34740/kaggle/dsv/3938208
title: 2021 World Population (updated daily)
DOI: 10.5517/cc13qzqj
title: CCDC 1034988: Experimental Crystal Structure Determination

description: Related Article: Marc Mauduit|2014|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.