cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.2951263.v386
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2082571.v1
title: A combined proteomics and metabolomics approach to assess the effects of gold nanoparticles <i>in vitro</i>

description: Omics technologies, such as proteomics or metabolomics, have to date been applied in the field of nanomaterial safety assessment to a limited extent. To address this dearth, we developed an integrated approach combining the two techniques to study the effects of two sizes, 5 and 30 nm, of gold nanoparticles (AuNPs) in Caco-2 cells. We observed differences in cells exposed for 72 h to each size of AuNPs: 61 responsive (up/down-regulated) proteins were identified and 35 metabolites in the cell extract were tentatively annotated. Several altered biological pathways were highlighted by integrating the obtained multi-omics data with bioinformatic tools. This provided a unique set of molecular information on the effects of nanomaterials at cellular level. This information was supported by complementary data obtained by immunochemistry, microscopic analysis, and multiplexed assays. A part from increasing our knowledge on how the cellular processes and pathways are affected by nanomaterials (NMs), these findings could be used to identify specific biomarkers of toxicity or to support the safe-by-design concept in the development of new nanomedicines.
DOI: 10.6084/m9.figshare.2885308.v384
title: UNH-RVAT 3-D SST RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions using the k-omega SST RANS model in OpenFOAM 2.3.x (590d57f32fed). See the link below for case files and download instructions.
DOI: 10.6084/m9.figshare.2885308.v383
title: UNH-RVAT 3-D SST RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions using the k-omega SST RANS model in OpenFOAM 2.3.x (590d57f32fed). See the link below for case files and download instructions.
DOI: 10.6084/m9.figshare.2951263.v387
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2081452
title: Quindio-Silvopastoral.xlsx

description: Data from household surveys and ground monitoring of land uses for participants in the Regional Integrated Silvopastoral Ecosystem Management Project, implemented in Quindío, Colombia, from 2003 to 2007, including a control group, and with a further assessment of results 4 years after project end, in 2011. Participants received Payment for Environmental Services (PES) for either 2 or 4 years; some also received technical assistance (TA) (assignment to these subgroups was random).
DOI: 10.6084/m9.figshare.2081452.v1
title: Quindio-Silvopastoral.xlsx

description: Data from household surveys and ground monitoring of land uses for participants in the Regional Integrated Silvopastoral Ecosystem Management Project, implemented in Quindío, Colombia, from 2003 to 2007, including a control group, and with a further assessment of results 4 years after project end, in 2011. Participants received Payment for Environmental Services (PES) for either 2 or 4 years; some also received technical assistance (TA) (assignment to these subgroups was random).
DOI: 10.6084/m9.figshare.2951263.v388
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2078839
title: The Explorer Islamabad(Volume 2, Issue 1)

description: The Explorer Islamabad Volume 2 Issue 1
DOI: 10.6084/m9.figshare.2078341
title: Retinopathy paper database for de-id data.xlsx

description: The purpose of this cross-sectional study was to perform comprehensive ophthalmological and neurological examinations on 111 patients with a history of West Nile virus infection and describe the ocular manifestations. <b></b>
DOI: 10.6084/m9.figshare.2951263.v389
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2078839.v1
title: The Explorer Islamabad(Volume 2, Issue 1)

description: The Explorer Islamabad Volume 2 Issue 1
DOI: 10.6084/m9.figshare.2951263.v390
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2077918.v1
title: Provenance shifts in an evolving Eurekan foreland basin: the Tertiary Central Basin, Spitsbergen

description: Appendix A: LA–SF–ICP–MS operating and data acquisition parameters
DOI: 10.6084/m9.figshare.2077792
title: Provenance shifts in an evolving Eurekan foreland basin: the Tertiary Central Basin, Spitsbergen

description: Supplemental Data File: U207/235 and U206/238 ages for all zircons
DOI: 10.6084/m9.figshare.2077792.v1
title: Provenance shifts in an evolving Eurekan foreland basin: the Tertiary Central Basin, Spitsbergen

description: Supplemental Data File: U207/235 and U206/238 ages for all zircons
DOI: 10.6084/m9.figshare.2077708
title: THE ELEMENT HYDROGEN:ENERGY-ENERGY EQUIVALENCE

description: Hydrogen, an atom composed of a single proton and electron, is the fundamental and most abundant element in the universe. Hydrogen composes approximately 90% of the visible universe. As we all know there are different types of energies linked with proton –electron system due to the fundamental forces such as Kinetic energy, Electrostatic energy, Gravitational energy etc. In quantum framework, Gravity is a very weak force and it’s equivalence with other forces were once thought impossible. I strongly believe that all energies are one or the other forms of rest mass energy m<sub>e</sub>c<sup>2</sup>. In this paper, I’ve tried to define a new equation unifying Gravitational energy and Rest mass energy of a hydrogen atom.
DOI: 10.6084/m9.figshare.2951263.v391
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2077594
title: Data from: Assessing agreement with relative area under the coverage probability curve

description: There has been substantial statistical literature in the last several decades on assessing agreement and coverage probability approach was selected as a preferred index for assessing and improving measurement agreement in a core laboratory setting [1]. With this approach, a satisfactory agreement is based on pre-specified high satisfactory coverage probability (e.g., 95%), given one pre-specified acceptable difference. In practice, we may want to have quality control on more than one pre-specified differences or we may simply want to summarize the agreement based on differences up to a maximum acceptable difference. We propose to assess agreement via the coverage probability curve that provides a full spectrum of measurement error at various differences/disagreement. Relative area under the coverage probability curve is proposed for the summary of overall agreement and this new summary index can be used for comparison of different intra- or inter-methods/labs/observers’ agreement. Simulation studies and a blood pressure example are used for illustration of the methodology.<br>
DOI: 10.5517/ccdc.csd.cc24drt4
title: CCDC 1978476: Experimental Crystal Structure Determination

description: Related Article: Vladimir O. Smirnov, Alexander D. Volodin, Alexander A. Korlyukov, Alexander Dilman|2020|Angew.Chem.,Int.Ed.|59|12428|doi:10.1002/anie.202001354
DOI: 10.6084/m9.figshare.2077612
title: Data from: Intra-Cluster Correlation Selection for Cluster Randomized Trials

description: In this manuscript, we give focus to cluster randomized trials (CRTs), also known as group randomized trials (GRTs), which randomize clusters, or groups, of subjects to different trial arms, such as intervention or control. Outcomes from subjects within the same cluster tend to exhibit an exchangeable correlation measured by the intra-cluster correlation coefficient (ICC). Our primary interest is to test if the intervention has an impact on the marginal mean of an outcome. Using recently developed methods, we propose how to select a working ICC structure with the goal of choosing the structure that results in the smallest standard errors for regression parameter estimates and thus the greatest power for this test. Specifically, we utilize small-sample corrections for the estimation of the covariance matrix of regression parameter estimates. This matrix is incorporated within correlation selection criteria proposed in the generalized estimating equations literature to choose one of multiple working ICC structures under consideration. We demonstrate the potential power and utility of this approach when used in CRT settings via a simulation study and application example, and we discuss practical considerations for its use in practice.
DOI: 10.6084/m9.figshare.2077708.v2
title: THE ELEMENT HYDROGEN:ENERGY-ENERGY EQUIVALENCE

description: Hydrogen, an atom composed of a single proton and electron, is the fundamental and most abundant element in the universe. Hydrogen composes approximately 90% of the visible universe. As we all know there are different types of energies linked with proton –electron system due to the fundamental forces such as Kinetic energy, Electrostatic energy, Gravitational energy etc. In quantum framework, Gravity is a very weak force and it’s equivalence with other forces were once thought impossible. I strongly believe that all energies are one or the other forms of rest mass energy m<sub>e</sub>c<sup>2</sup>. In this paper, I’ve tried to define a new equation unifying Gravitational energy and Rest mass energy of a hydrogen atom.
DOI: 10.5517/ccdc.csd.cc24drv5
title: CCDC 1978477: Experimental Crystal Structure Determination

description: Related Article: Vladimir O. Smirnov, Alexander D. Volodin, Alexander A. Korlyukov, Alexander Dilman|2020|Angew.Chem.,Int.Ed.|59|12428|doi:10.1002/anie.202001354
DOI: 10.6084/m9.figshare.2951263.v392
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.5517/ccdc.csd.cc24drw6
title: CCDC 1978478: Experimental Crystal Structure Determination

description: Related Article: Vladimir O. Smirnov, Alexander D. Volodin, Alexander A. Korlyukov, Alexander Dilman|2020|Angew.Chem.,Int.Ed.|59|12428|doi:10.1002/anie.202001354
DOI: 10.6084/m9.figshare.2077594.v1
title: Data from: Assessing agreement with relative area under the coverage probability curve

description: There has been substantial statistical literature in the last several decades on assessing agreement and coverage probability approach was selected as a preferred index for assessing and improving measurement agreement in a core laboratory setting [1]. With this approach, a satisfactory agreement is based on pre-specified high satisfactory coverage probability (e.g., 95%), given one pre-specified acceptable difference. In practice, we may want to have quality control on more than one pre-specified differences or we may simply want to summarize the agreement based on differences up to a maximum acceptable difference. We propose to assess agreement via the coverage probability curve that provides a full spectrum of measurement error at various differences/disagreement. Relative area under the coverage probability curve is proposed for the summary of overall agreement and this new summary index can be used for comparison of different intra- or inter-methods/labs/observers’ agreement. Simulation studies and a blood pressure example are used for illustration of the methodology.<br>
DOI: 10.6084/m9.figshare.2077612.v1
title: Data from: Intra-Cluster Correlation Selection for Cluster Randomized Trials

description: In this manuscript, we give focus to cluster randomized trials (CRTs), also known as group randomized trials (GRTs), which randomize clusters, or groups, of subjects to different trial arms, such as intervention or control. Outcomes from subjects within the same cluster tend to exhibit an exchangeable correlation measured by the intra-cluster correlation coefficient (ICC). Our primary interest is to test if the intervention has an impact on the marginal mean of an outcome. Using recently developed methods, we propose how to select a working ICC structure with the goal of choosing the structure that results in the smallest standard errors for regression parameter estimates and thus the greatest power for this test. Specifically, we utilize small-sample corrections for the estimation of the covariance matrix of regression parameter estimates. This matrix is incorporated within correlation selection criteria proposed in the generalized estimating equations literature to choose one of multiple working ICC structures under consideration. We demonstrate the potential power and utility of this approach when used in CRT settings via a simulation study and application example, and we discuss practical considerations for its use in practice.
DOI: 10.6084/m9.figshare.2077708.v1
title: ISCA-RJPS-2015-023.pdf

description: Hydrogen, an atom composed of a single proton and electron, is the fundamental and most abundant element in the universe. Hydrogen composes approximately 90% of the visible universe. As we all know there are different types of energies linked with proton –electron system due to the fundamental forces such as Kinetic energy, Electrostatic energy, Gravitational energy etc. In quantum framework, Gravity is a very weak force and it’s equivalence with other forces were once thought impossible. I strongly believe that all energies are one or the other forms of rest mass energy m<sub>e</sub>c<sup>2</sup>. In this paper, I’ve tried to define a new equation unifying Gravitational energy and Rest mass energy of a hydrogen atom.
DOI: 10.6084/m9.figshare.2951263.v393
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2077531
title: File Supplementary S3.txt

description: phylogenetic relationships between the species of the Brachionus plicatilis species complex (Rotifera, Monogononta).
DOI: 10.6084/m9.figshare.2077552
title: Raw datafiles

description: Four raw datafiles contianing RT, accuracy data and demographics for 34 subjects, as well as manual-based difficulty constraints used in estimation of the Rasch model. These files are further analysed by the R analysis code KievitetalBehavioural.R also in this project.
DOI: 10.6084/m9.figshare.2951263.v394
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2077516
title: Data from: Estimation of extreme quantiles conditioning on multivariate critical layers

description: Let T<sub>i</sub>:= [X<sub>i</sub>| <b>X</b>∈ ∂ L(α)], for i=1, ... ,d, where <b>X</b>=(X<sub>1</sub>, ... , X<sub>d</sub>) is a risk vector and ∂ L(α) is the associated multivariate critical layer at level α ∈ (0,1). The aim of this work is to propose a non-parametric extreme estimation procedure for the (1-p<sub>n</sub>)-quantile of T<sub>i</sub> for a fixed α and when p<sub>n</sub>→0, as the sample size n→+∞. An extrapolation method is developed under the Archimedean copula assumption for the dependence structure of <b>X</b> and the von Mises condition for marginal X<sub>i</sub> . The main result is the Central Limit Theorem for our estimator for p=p<sub>n</sub>→0, when n tends towards infinity. A set of simulations illustrates the finite-sample performance of the proposed estimator. We finally illustrate how the proposed estimation procedure can help in the evaluation of extreme multivariatehydrological risks.<br>
DOI: 10.6084/m9.figshare.2077552.v1
title: Raw datafiles

description: Four raw datafiles contianing RT, accuracy data and demographics for 34 subjects, as well as manual-based difficulty constraints used in estimation of the Rasch model. These files are further analysed by the R analysis code KievitetalBehavioural.R also in this project.
DOI: 10.6084/m9.figshare.2077516.v1
title: Data from: Estimation of extreme quantiles conditioning on multivariate critical layers

description: Let T<sub>i</sub>:= [X<sub>i</sub>| <b>X</b>∈ ∂ L(α)], for i=1, ... ,d, where <b>X</b>=(X<sub>1</sub>, ... , X<sub>d</sub>) is a risk vector and ∂ L(α) is the associated multivariate critical layer at level α ∈ (0,1). The aim of this work is to propose a non-parametric extreme estimation procedure for the (1-p<sub>n</sub>)-quantile of T<sub>i</sub> for a fixed α and when p<sub>n</sub>→0, as the sample size n→+∞. An extrapolation method is developed under the Archimedean copula assumption for the dependence structure of <b>X</b> and the von Mises condition for marginal X<sub>i</sub> . The main result is the Central Limit Theorem for our estimator for p=p<sub>n</sub>→0, when n tends towards infinity. A set of simulations illustrates the finite-sample performance of the proposed estimator. We finally illustrate how the proposed estimation procedure can help in the evaluation of extreme multivariatehydrological risks.<br>
DOI: 10.6084/m9.figshare.2951263.v395
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2951263.v396
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2951263.v397
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2951263.v398
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2951263.v399
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2077405
title: M. tuberculosis outbreak variants - fasta file

description: High-quality single nucleotide variants in 48 M. tuberculosis genomes from a large outbreak. The KXX refers to the isolate number; the digit after the dash is days since a particular point in time, required for building a time-labelled phylogeny.
DOI: 10.6084/m9.figshare.2077405.v1
title: M. tuberculosis outbreak variants - fasta file

description: High-quality single nucleotide variants in 48 M. tuberculosis genomes from a large outbreak. The KXX refers to the isolate number; the digit after the dash is days since a particular point in time, required for building a time-labelled phylogeny.
DOI: 10.6084/m9.figshare.2077420.v3
title: Dataset coLAB Debate Eleitoral SBT (variáveis políticas)

description: Dataset coLAB Debate Eleitoral SBT (variáveis políticas)
DOI: 10.6084/m9.figshare.2951263.v400
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2077393
title: Macroevolution Tutorial 101

description: Worksheet sheet for Macroevolution Tutorial
DOI: 10.6084/m9.figshare.2077420.v2
title: Dataset coLAB Debate Eleitoral SBT (variáveis políticas)

description: Dataset coLAB Debate Eleitoral SBT (variáveis políticas)
DOI: 10.6084/m9.figshare.2077393.v1
title: Macroevolution Tutorial 101

description: Worksheet sheet for Macroevolution Tutorial
DOI: 10.6084/m9.figshare.2951263.v401
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2077417.v2
title: Fileset coLAB Debates Eleitorais 2014

description: Fileset de imagens de memes coletados do Twitter, por meio do aplicativo Twicsy, durante os debates eleitorais presidenciais exibidos pelas principais emissoras de televisão do Brasil em 2014.