cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24486067.v1
title: weips image dataset (mirror)

description: The mosaic image and dsm image of the weips dataset which is released under cc0 1.0. this mirror will be released under the same license.Guo, Wei; Fukano, Yuya; Noshita, Koji; Ninomiya, Seishi (2020). Field‐based individual plant phenotyping of herbaceous species by unmanned aerial vehicle [Dataset]. Dryad. https://doi.org/10.5061/dryad.0cfxpnw0bhttps://datadryad.org/stash/dataset/doi:10.5061/dryad.0cfxpnw0b
DOI: 10.17632/jhc3nxvpp4.1
title: Water regimes limit Oak recruitment in upland pastures for regeneration of Atlantic oak woodlands

description: Data set from study "Water regimes limit Oak recruitment in upland pastures for regeneration of Atlantic oak woodlands". The data is taken from two experiments which test the role of soil moisture on UK native oak emergence from acorn and early sapling establishment.
DOI: 10.5281/zenodo.10065540
title: PECULIARITIES OF ACTIVE LEARNING METHODS APPLICATION FOR EDUCATIONAL DEVELOPMENT
DOI: 10.5281/zenodo.10065558
title: EFFECTIVE AND INNOVATIVE METHODS OF TEACHING FOREIGN LANGUAGES
DOI: 10.5281/zenodo.10065559
title: EFFECTIVE AND INNOVATIVE METHODS OF TEACHING FOREIGN LANGUAGES
DOI: 10.5281/zenodo.10065567
title: O'ZBEKISTON RESPUBLIKASIDA AVTOMOBILSOZLIK TARIXI
DOI: 10.5281/zenodo.10065566
title: O'ZBEKISTON RESPUBLIKASIDA AVTOMOBILSOZLIK TARIXI
DOI: 10.5281/zenodo.10065572
title: D.K. Kholmuradova M.L. Akhmedova
DOI: 10.5281/zenodo.10065571
title: D.K. Kholmuradova M.L. Akhmedova
DOI: 10.5281/zenodo.10060266
title: Supplementary Data for BRCA-CN

description: Test data to enable the verification and reproduction of the experiments described in this manuscript when combined with open-source resources.
DOI: 10.5281/zenodo.10060267
title: Supplementary Data for BRCA-CN

description: Test data to enable the verification and reproduction of the experiments described in this manuscript when combined with open-source resources.
DOI: 10.5281/zenodo.10065573
title: Supplementary Data for BRCA-CN

description: Test data to enable the verification and reproduction of the experiments described in this manuscript when combined with open-source resources.
DOI: 10.5281/zenodo.10065564
title: Dataset for ozone imacts on NPP in the North China Plain

description: Ozone pollution led to an average 25% decrease in NPP in the North China Plain (NCP). This decline is consistent with previous estimates that ranged from 10% to 25%. Productivity of forest trees, crops, and grasses declined significantly, ranging from 36.7% to 47.1%. These results have implications for Chinese crops, as lower crop productivity can negatively affect crop yields. Our study highlights the urgent need for action to mitigate the detrimental effects of ozone pollution on ecosystem health and productivity.
DOI: 10.5281/zenodo.10065563
title: Dataset for ozone imacts on NPP in the North China Plain

description: Ozone pollution led to an average 25% decrease in NPP in the North China Plain (NCP). This decline is consistent with previous estimates that ranged from 10% to 25%. Productivity of forest trees, crops, and grasses declined significantly, ranging from 36.7% to 47.1%. These results have implications for Chinese crops, as lower crop productivity can negatively affect crop yields. Our study highlights the urgent need for action to mitigate the detrimental effects of ozone pollution on ecosystem health and productivity.
DOI: 10.5281/zenodo.10065578
title: Simulation code and supplementary animations for the autologous cell defection simulation

description: This dataset contains the simulations codes and supplementary animations for the autologous cell defection simulation.
DOI: 10.5281/zenodo.8054690
title: Simulation code and supplementary animations for the autologous cell defection simulation

description: This dataset contains the simulations codes and supplementary animations for the autologous cell defection simulation.
DOI: 10.5281/zenodo.8054691
title: Dataset, codes, and Supplementary Animations for the autologous cell defection simulation

description: This dataset contains the simulations results, codes, and Supplementary Animations for the autologous cell defection simulation.
DOI: 10.5281/zenodo.8401505
title: Simulation code and supplementary animations for the autologous cell defection simulation

description: This dataset contains the simulations codes and supplementary animations for the autologous cell defection simulation.
DOI: 10.6084/m9.figshare.24486076
title: original data for Electroacupuncture induces <i>in vivo</i> osteogenic differentiation of ADSCs and attenuates bone loss in ovariectomized rats via the PI3K/AKT pathway.

description: Detailed original data for the following figures during this study.
DOI: 10.6084/m9.figshare.24486076.v1
title: original data for Electroacupuncture induces <i>in vivo</i> osteogenic differentiation of ADSCs and attenuates bone loss in ovariectomized rats via the PI3K/AKT pathway.

description: Detailed original data for the following figures during this study.
DOI: 10.6084/m9.figshare.24486082
title: Cultural affinities_ The Anglo-Saxon world vs. the Russian world. (respuestas).xlsx

description: This dataset contains the responses to the survey "Cultural affinities_ The Anglo-Saxon world vs. the Russian world", where 82 young participants from Spain, Russia, and Anglo-Saxon countries offered their <i>polarized replies</i> to 12 questions about the perception of socio-cultural referents from the Russian and Anglo-Saxon world. The survey is based on <i>polarized responses </i>because no equidistant answering possibility is offered to the participants, but only options that range from 1 to 4, with 1 being a clear choice for the Russian pole, 2 a moderate choice for the Russian pole, 3 a moderate choice for the Anglo-Saxon pole, and 4 a clear choice for the Anglo-Saxon pole.The survey was open and replied between the 9th and 29th of March 2023.
DOI: 10.5281/zenodo.10060627
title: GE_Code_And_Datasets_of_SFSP

description: This Zip file includes the MS and NMR data for the extract components from Aspergillus sp. GE2-6, as well as the R script for SFSP (Structure-Oriented Fractions Screening Platform) in this study.
DOI: 10.5281/zenodo.10060626
title: GE_Code_And_Datasets_of_SFSP

description: This Zip file includes the MS and NMR data for the extract components from Aspergillus sp. GE2-6, as well as the R script for SFSP (Structure-Oriented Fractions Screening Platform) in this study.
DOI: 10.5281/zenodo.10065577
title: Identifying priority areas of climate diversity for safeguarding biodiversity

description: This is the original data and result dataset of the manuscript 'Identifying priority area of climate diversity for safety guarding biodiversity'
DOI: 10.5281/zenodo.10065576
title: Identifying priority areas of climate diversity for safeguarding biodiversity

description: This is the original data and result dataset of the manuscript 'Identifying priority area of climate diversity for safety guarding biodiversity'
DOI: 10.6084/m9.figshare.24481501.v1
title: Gut Microbial Gene Catalog of Pigs

description: The pig gut microbial gene catalog is constructed by metagenomic analysis of 112 fecal samples from seven pig breeds.
DOI: 10.57745/j6mzyb
title: File04_Technological_value.tab

description: T55 flour was used to characterise dough rheological properties from Chopin Alveogrammes obtained according to the NF EN ISO 27971 COFRA. The gluten, obtained by lixiviation from the T55 flour of each accession, was characterised by the Glutomatic system.
DOI: 10.57745/elt58q
title: Material.tab

description: Code of the accessions are available at https://urgi.versailles.inra.fr/siregal/siregal/grc.do or Na (no code). Accessions are classified into three categories depending on the year of their release for modern or old varieties or as landraces. Their geographical origin is specified as well. High molecular weight glutenin subunits were given according to the numbering system developed by Payne and Lawrence. The column "Genotypic markers" indicates whether molecular markers are available (1) or not (0).
DOI: 10.57745/euvvjf
title: File02_Protein_composition.tab

description: Wholemeal flour was used to measure storage protein content (elemental analyser) and composition (Reverse Phase High-Performance Liquid-Chromatography). The amount of nitrogen allocated to alpha/beta, gamma, omega and total gliadin fractions and to high molecular weight (HMW), low molecular weight (LMW) and total glutenin fractions is quantified. From this data, HMW to LMW and gliadin to glutenin ratios are calculated.
DOI: 10.57745/gczjfn
title: File05_Mat_Mk_35Kpolymorph.txt

description: DNA was extracted from young leaves of each accession with a metabisulfite protocol. All accessions were genotyped with Axiom TaBW35K. This file details the 25,233 markers which show polymorphism
DOI: 10.57745/ulddqr
title: File03_Polymers.tab

description: Wholemeal flour was used to characterise flour polymers (Asymmetric Flow Field Flow Fractionation). Polydispersity, conformation and quantity of polymers describe polymers as a whole. Mass, radius of gyration and hydrodynamic radius describe the average polymer in the sample.
DOI: 10.57745/vfni0d
title: Variables.tab

description: :unav
DOI: 10.57745/wdc1gl
title: File01_Plant_and_Grain.tab

description: Thousand-kernel weight was measured with an Opto-Agri (Optomachine, Riom, France). Grain hardness was measured with Near InfraRed Spectroscopy (NIRS) and the grain nitrogen content was determined using an elemental analyser.
DOI: 10.57745/03vhe0
title: File04_Technological_value.tab

description: :unav
DOI: 10.57745/8btrcp
title: File05_Genotyping_35K.vcf

description: Genotyping data : DNA was extracted from young leaves of each accession with a metabisulfite protocol. All accessions were genotyped with BreedWheat 35k genotyping array Axiom TaBW35K containing 34,746 single nucleotide polymorphism markers (SNPs)
DOI: 10.57745/bi6xnl
title: File01_Plant_and_Grain.tab

description: :unav
DOI: 10.57745/ikmsqd
title: Protocol2.pdf

description: Quantification of gliadin and glutenin subclasses by RP-HPLC
DOI: 10.57745/mqio6s
title: Protocol1.pdf

description: Sequential extraction of wheat grain proteins to determine their content and composition by elemental analysis CNS Dumas and RP-HPLC analysis
DOI: 10.57745/h0zhod
title: Material.tab

description: Code of the accessions are available at https://urgi.versailles.inra.fr/siregal/siregal/grc.do or Na (no code). Accessions are classified into three categories depending on the year of their release for modern or old varieties or as landraces. Their geographical origin is specified as well. High molecular weight glutenin subunits were given according to the numbering system developed by Payne and Lawrence. The column "Genotypic markers" indicates whether molecular markers are available (1) or not (0).
DOI: 10.57745/oeikgu
title: File06_Starch.tab

description: Isolation of starch and determination of apparent amylose content : Starch was isolated following the method reported by Bancel et al. (2010). The seeds were manually crushed then soaked overnight in 1 mL of water at 4 °C. After centrifugation, 500 μL of water were added to the pellet. The slurry was layered on 1 mL of 80% (w/v) CsCl and centrifuged at 3500× g for 5 min. Pellets containing the starch granules were then washed three times with 1 mL of washing buffer (55 mM Tris-HCl pH 6.8, 2.3% (w/v) SDS, 1% (w/v) dithiothreitol (DTT), 10% (v/v) glycerol) for 30 min at 20 °C. At the beginning of each washing step, granules were disrupted using sonication with an ultrasonic processor (Vibracell, VC50, Bioblock Scientific, Illkirch, France) at 20 W power for a 20 s pulse before continuous mixing. The granules were washed three times more for an hour each. The starch granule pellet was also washed three times for 5 min with cold water, once with cold acetone and finally air-dried. The apparent amylose content was determined according to Amylose/amylopectine kit from Megazyme (2018). Each sample was prepared in three individual replicates. Particle distribution of starch granules : The granule size distribution was monitored using the Malvern Mastersizer laser-diffraction analyzer 2000 E (Malvern Instruments Ltd, Malvern, UK). The starch samples were soaked in deionized water and stirred at 2000 rpm. The size distribution analyses were carried out in triplicate for each wheat line. Starch granules were classified into three size ranges: A-type granules (&gt; 15 μm), B-type granules (5–15 μm), and C-type granules (&lt;5 μm). References : Bancel, E., Rogniaux, H., Debiton, C., Chambon, C., Branlard, G., 2010. Extraction and proteome analysis of starch granule-associated proteins in mature wheat kernel (Triticum aestivum L.). Journal of Proteome Research 9, 3299e3310. Megazyme (2018) For the measurement of the amylose/amylopectin contents of starch. Amylose/Amylopectin assay procedure. K-AMYL 06/18
DOI: 10.25345/c5028pq3c
title: MassIVE MSV000093237 - Deposit_EkremData_RezanData_02.11.23
title: Metabolomics approach to reveal secondary metabolite profiles of plant-root-associated Streptomyces.
DOI: 10.15468/kc95hh
title: Preliminary notices of skeletons and skulls of Deinodontidae from the Cretaceous of Alberta

description: This dataset contains the digitized treatments in Plazi based on the original journal article W. D. Matthew, Barnum Brown (1923): Preliminary notices of skeletons and skulls of Deinodontidae from the Cretaceous of Alberta. American Museum Novitates 89: 1-10, DOI: http://doi.org/10.5281/zenodo.4715537
DOI: 10.6084/m9.figshare.24486163
title: Complete genomes of three bacterial strains

description: Complete genomes of three bacterial strains, including <i>Phascolarctobacterium succinatutens </i>(PS), <i>Prevotella copri </i>(PC), and <i>Oscillibacter valericigenes </i>(OV), respectively.
DOI: 10.6084/m9.figshare.24486163.v1
title: Complete genomes of three bacterial strains

description: Complete genomes of three bacterial strains, including <i>Phascolarctobacterium succinatutens </i>(PS), <i>Prevotella copri </i>(PC), and <i>Oscillibacter valericigenes </i>(OV), respectively.
DOI: 10.34740/kaggle/dsv/6862020
title: Egypt Gold Prices | Daily Updated
DOI: 10.6084/m9.figshare.9852341
title: Robustness of Individual Score Methods against Model Misspeciﬁcation in Autoregressive Panel Models

description: Different methods to obtain individual scores from multiple item latent variable models exist, but their performance under realistic conditions is currently underresearched. We investigate the performance of the regression method, the Bartlett method, the Kalman filter, and the mean score under misspecification in autoregressive panel models. Results from three simulations show different patterns of findings for the mean absolute error, for the correlations between individual scores and the true scores (correlation criterion), and for the coverage in our settings: a) all individual score methods are generally quite robust against the chosen misspecification in the loadings, b) all methods are similarly sensitive to positively skewed as well as leptokurtic response distributions with regard to the correlation criterion, c) only the mean score is not robust against an integrated trend component, and d) coverage for the mean score is consistently below the nominal value.
DOI: 10.6084/m9.figshare.9852341.v1
title: Robustness of Individual Score Methods against Model Misspeciﬁcation in Autoregressive Panel Models

description: Different methods to obtain individual scores from multiple item latent variable models exist, but their performance under realistic conditions is currently underresearched. We investigate the performance of the regression method, the Bartlett method, the Kalman filter, and the mean score under misspecification in autoregressive panel models. Results from three simulations show different patterns of findings for the mean absolute error, for the correlations between individual scores and the true scores (correlation criterion), and for the coverage in our settings: a) all individual score methods are generally quite robust against the chosen misspecification in the loadings, b) all methods are similarly sensitive to positively skewed as well as leptokurtic response distributions with regard to the correlation criterion, c) only the mean score is not robust against an integrated trend component, and d) coverage for the mean score is consistently below the nominal value.
DOI: 10.6084/m9.figshare.9773714
title: Constrained Fourth Order Latent Differential Equation Reduces Parameter Estimation Bias for Damped Linear Oscillator Models

description: Second-order linear differential equations can be used as models for regulation since under a range of parameter values they can account for a return to equilibrium as well as potential oscillations in regulated variables. One method that can estimate parameters of these equations from intensive time series data is the method of Latent Differential Equations (LDE). However, the LDE method can exhibit bias in its parameters if the dimension of the time delay embedding and thus the width of the convolution kernel is not chosen wisely. This article presents a simulation study showing that a constrained fourth-order Latent Differential Equation (FOLDE) model for the second-order system almost completely eliminates bias as long as the width of the convolution kernel is less than two-thirds the period of oscillations in the data. The FOLDE model adds two degrees of freedom over the standard LDE model but significantly improves model fit.
DOI: 10.6084/m9.figshare.9773714.v1
title: Constrained Fourth Order Latent Differential Equation Reduces Parameter Estimation Bias for Damped Linear Oscillator Models

description: Second-order linear differential equations can be used as models for regulation since under a range of parameter values they can account for a return to equilibrium as well as potential oscillations in regulated variables. One method that can estimate parameters of these equations from intensive time series data is the method of Latent Differential Equations (LDE). However, the LDE method can exhibit bias in its parameters if the dimension of the time delay embedding and thus the width of the convolution kernel is not chosen wisely. This article presents a simulation study showing that a constrained fourth-order Latent Differential Equation (FOLDE) model for the second-order system almost completely eliminates bias as long as the width of the convolution kernel is less than two-thirds the period of oscillations in the data. The FOLDE model adds two degrees of freedom over the standard LDE model but significantly improves model fit.
DOI: 10.6084/m9.figshare.8478902
title: Model Fit Estimation for Multilevel Structural Equation Models

description: Structural equation modeling (SEM) provides an extensive toolbox to analyze the multivariate interrelations of directly observed variables and latent constructs. Multilevel SEM integrates mixed effects to examine the covariances between observed and latent variables across many levels of analysis. However, while it is necessary to consider model fit, traditional indices are largely insufficient to analyze model fit at each level of analysis. The present article reviews (a) the partially saturated model fit approach first suggested by Ryu and West and (b) an alternative model parameterization that removes the multilevel data structure. We next describe the implementation of an algorithm to compute partially saturated model fit for 2-level structural equation models in the open source SEM package, <i>OpenMx</i>, including verification in a simulation study. Finally, an example empirical application evaluates leading theories on the structure of affect from ecological momentary assessment data collected thrice daily for two weeks from 345 participants.
DOI: 10.6084/m9.figshare.8478902.v1
title: Model Fit Estimation for Multilevel Structural Equation Models

description: Structural equation modeling (SEM) provides an extensive toolbox to analyze the multivariate interrelations of directly observed variables and latent constructs. Multilevel SEM integrates mixed effects to examine the covariances between observed and latent variables across many levels of analysis. However, while it is necessary to consider model fit, traditional indices are largely insufficient to analyze model fit at each level of analysis. The present article reviews (a) the partially saturated model fit approach first suggested by Ryu and West and (b) an alternative model parameterization that removes the multilevel data structure. We next describe the implementation of an algorithm to compute partially saturated model fit for 2-level structural equation models in the open source SEM package, <i>OpenMx</i>, including verification in a simulation study. Finally, an example empirical application evaluates leading theories on the structure of affect from ecological momentary assessment data collected thrice daily for two weeks from 345 participants.
DOI: 10.6084/m9.figshare.8478902.v2
title: Model Fit Estimation for Multilevel Structural Equation Models

description: Structural equation modeling (SEM) provides an extensive toolbox to analyze the multivariate interrelations of directly observed variables and latent constructs. Multilevel SEM integrates mixed effects to examine the covariances between observed and latent variables across many levels of analysis. However, while it is necessary to consider model fit, traditional indices are largely insufficient to analyze model fit at each level of analysis. The present article reviews (a) the partially saturated model fit approach first suggested by Ryu and West and (b) an alternative model parameterization that removes the multilevel data structure. We next describe the implementation of an algorithm to compute partially saturated model fit for 2-level structural equation models in the open source SEM package, <i>OpenMx</i>, including verification in a simulation study. Finally, an example empirical application evaluates leading theories on the structure of affect from ecological momentary assessment data collected thrice daily for two weeks from 345 participants.
DOI: 10.34740/kaggle/dsv/6862074
title: AutoXGB
DOI: 10.34740/kaggle/dsv/6862075
title: OnlineFree
DOI: 10.6084/m9.figshare.24486052
title: <b>Docking and MD simulation initial structures</b>

description: Our research centered on the NLRP3 protein, which plays a pivotal role in the context of neuroinflammation, a major contributing factor in Alzheimer's Disease (AD). When NLRP3 is activated, it releases inflammatory molecules that worsen brain damage. Our aim was to identify potential compounds that can inhibit NLRP3 and reduce inflammation in neurons, possibly providing a way to treat AD. A computational approach was utilized to screen a library of coumarin derivatives for compounds that meet drug-like criteria and could potentially penetrate the blood-brain barrier. We identified three promising coumarin-based compounds with better NLRP3-binding affinity than a known inhibitor. Our molecular dynamics simulations and binding energy calculations further supported these compounds as potential leads for inhibiting the NLRP3 inflammasome and potentially treating AD.