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3,206 results for “property (T)”
Dataset for "Spatial distribution and physicochemical properties of respirable volcanic ash from the 16-17 August 2006 Tungurahua eruption (Ecuador), and alveolar epithelium response in-vitro" published in GeoHealth
<p>Data Repository for:</p> <p><strong>"Spatial distribution and physicochemical properties of respirable volcanic ash from the 16-17 August 2006 Tungurahua eruption (Ecuador), and alveolar epithelium response <em>in-vitro" </em></strong>published in GeoHealth.<br> </p> <p>Julia Eychenne<sup>1,2*</sup>, Lucia Gurioli<sup>1</sup>, David Damby<sup>3</sup>, Corinne Belville², Federica Schiavi<sup>1</sup>, Geoffroy Marceau<sup>2,4</sup>, Claire Szczepaniak<sup>5</sup>, Christelle Blavignac<sup>5</sup>, Mickael Laumonier<sup>1</sup>, Emmanuel Gardés<sup>1</sup>, Jean-Luc Le Pennec<sup>6,7</sup>, Jean-Marie Nedelec<sup>8</sup>, Loïc Blanchon², Vincent Sapin<sup>2,4 </sup></p> <p><sup>1</sup> Université Clermont Auvergne, CNRS, IRD, OPGC, Laboratoire Magmas et Volcans, F-63000 Clermont-Ferrand, France</p> <p><sup>2</sup> Université Clermont Auvergne, CNRS, INSERM, Institut de Génétique Reproduction et Développement, F-63000 Clermont-Ferrand, France</p> <p><sup>3</sup> U.S. Geological Survey, California Volcano Observatory, Moffett Field, CA, USA</p> <p><sup>4</sup> Biochemistry and Molecular Genetic Department, University Hospital, F-63000 Clermont-Ferrand, France</p> <p><sup>5</sup> Université Clermont Auvergne, UCA PARTNER, Centre Imagerie Cellulaire Santé, F-63000 Clermont-Ferrand, France</p> <p><sup>6</sup> Geo-Ocean, CNRS, Ifremer, UMR6538, F-29280 Plouzané, France</p> <p><sup>7</sup> IRD Office for Indonesia & Timor Leste, Jalan Kemang Raya n°4, Jakarta 12730, Indonesia</p> <p><sup>8</sup> Université Clermont Auvergne, Clermont Auvergne INP, CNRS, ICCFn, F-63000 Clermont-Ferrand, France</p> <p><strong>This repository includes the grainsize distributions of the individual tephra fall samples, the grainsize distribution of the respirable ash sample isolated from F2, the Raman point counting data and individual spectra, the SEM images and EDX maps of the respirable ash sample, the SEM and TEM images of the <em>in-vitro</em> experiments, and the data from the LDH assays, multiplex immunoassays and RT-qPCR.</strong></p>
Data from: How do functional traits influence tree demographic properties in a subtropical monsoon forest?
<p><span>1. </span><span>Functional traits are good predictors of plant responses and adaptations to ever-changing environments. However, forecasting forest community dynamics is challenging because the relationships among different tree demographic properties (growth, mortality, and recruitment) and how functional traits are associated with tree demography remain largely unknown.</span></p> <p><span>2. </span><span>Here, in a 20-ha subtropical forest permanent plot, we quantified the rates of tree growth, mortality, and recruitment across 53 dominant tree species (diameter at breast height; DBH </span>≥<span> 1 cm) from 2005 to 2020. Functional traits that are closely related to plant photosynthesis, nutrients, hydraulics, and drought tolerance were measured. </span></p> <p><span>3. </span><span>We found that tree growth rate (GR) varied independently from rates of tree mortality and recruitment. Hydraulic conductivity was positively correlated with GR (explaining 27% variation – the strongest relationship observed) whereas wood density was negatively correlated with GR. Leaf life span was negatively related to tree mortality. Species with high carbon assimilation rate, nutrient concentration and hydraulic conductivity had high recruitment rates. Leaf turgor loss point was unrelated to plant demography. Principal component analysis revealed that species with quick resource-acquisition rates had high rates of growth and recruitment. </span></p> <p><span>4. </span><span>Our results illustrate that the correlations among tree demographic properties were weak in this subtropical forest with monsoonal climate. Most notably, against expectations there was no observed tradeoff between growth and mortality. Individual functional traits explained up to 27% of each demographic rate. Variation in recruitment rate was aligned with traits indexing the leaf economic spectrum and also plant hydraulic variation. A better understanding of the role of disturbances on trait-demography relationships would help build a deeper and more nuanced understanding of the ecology of subtropical monsoon forests.</span></p>
Dataset related to article "Phosphoproteomic mapping of CCR5 and ACKR2 signaling properties"
<p>This record contains raw data related to article "Phosphoproteomic mapping of CCR5 and ACKR2 signaling properties"</p> <p>ACKR2 is an atypical chemokine receptor structurally uncoupled from G proteins and unable to activate those signaling pathways used by conventional chemokine receptors to promote cell migration. Nevertheless, ACKR2 regulates inflammation and immune responses by shaping chemokine gradients in tissues by means scavenging inflammatory chemokines. To investigate the signaling pathways downstream ACKR2, a quantitative SILAC-based phosphoproteomic analysis coupled to systems biology approaches based on network analysis was carried out in a HEK293 cell model expressing ACKR2 or its conventional counterpart CCR5, stimulated or not with the common agonist CCL3L1 for short (3 min) and long (30 min) time points. As expected, many of the identified proteins are known to participate in conventional signal transduction pathways and in the regulation of cytoskeleton dynamics. However, our analyses revealed unique phosphorylation and network signatures, suggesting roles for ACKR2 other than its scavenger activity. In conclusion, mapping of phosphorylation events at holistic level indicated that conventional and atypical chemokine receptors differ for signaling properties and provide an unprecedented level of detail of chemokine receptor signaling aimed at identifying potential targets for regulation of ACKR2 and CCR5 function.</p>
Tidal pumping controls dissolved organic matter properties and outwelling from mangrove groundwater to coastal water
<p>Original data including three files: 1, DOM summary; 2, groundwater observation; 3, hydroperiod and infiltration capacity.</p>
DC Ionic Conductivity in KTP and Its Isomorphs: Properties, Methods for Suppression, and Its Connection to Gray Tracking
<p>Dataset for the related publication "DC Ionic Conductivity in KTP and Its Isomorphs: Properties, Methods for Suppression, and Its Connection to Gray Tracking"</p>
Lakefront property owners' willingness to accept easements for conservation of water quality and habitat survey
<p>This dataset describes properties and property owners on inland lakes in the Lower Peninsula of Michigan, USA. Further information can be found at:</p> <p>Nohner, J. K., F. Lupi, and W. W. Taylor. <em>In review</em>. Lakefront property owners’ willingness to accept easements for conservation of water quality and habitat. Water Resources Research.</p>
Data for "Optical properties of sea ice doped with black carbon – an experimental and radiative-transfer modelling comparison"
<p>All data recorded for reflectance and e-folding depth measurements associated with "Optical properties of sea ice doped with black carbon – an experimental and radiative-transfer modelling comparison"</p>
EFFECT OF GEOMETRY AND SURFACE DISTRIBUTION OF HOLES ON SOUND AND LIGHT ABSORPTION PROPERTIES OF 3D-PRINTED PETG MATERIALS
<p>Dataset and publication EFFECT OF GEOMETRY AND SURFACE DISTRIBUTION OF HOLES ON SOUND AND LIGHT ABSORPTION PROPERTIES OF 3D-PRINTED PETG MATERIALS</p>
Data for manuscript 'The response of Ross Sea shelf water properties to enhanced Amundsen Sea ice shelf melting'
<p>Data for manuscript 'The response of Ross Sea shelf water properties to enhanced Amundsen Sea ice shelf melting'.</p> <p>This repository contains the average data for the last 5 years for each sensitivity experiment used for analysis and processed data used to generate the figures in the manuscript.</p>
Data in "The uncertainties in the laboratory-measured short-wave refractive indices of mineral dust aerosols and the derived optical properties: A theoretical assessment"
<p>This is the data for publication "The uncertainties in the laboratory-measured short-wave refractive indices of mineral dust aerosols and the derived optical properties: A theoretical assessment"</p> <p>Version 1: data</p> <p>Version 2: rename the data files and add a readme file</p>
Dataset 2 "Aerosol optical properties within the atmospheric boundary layer predicted from ground-based observations compared to Raman lidar retrievals during RITA-2021"
<p>This dataset provides additional profiles for the manuscript titled "Aerosol optical properties within the atmospheric boundary layer predicted from ground-based observations compared to Raman lidar retrievals during RITA-2021". It is available for those who are interested.</p>
RISK MANAGEMENT AND PERFORMANCE OF ROAD BUSANZA -MUYANGE CONSTRUCTION PROJECT IMPLEMENTED BY NYARUTARAMA PROPERTY DEVELOPER (NPD LTD) IN KICUKIRO DISTRICT
<div> <p><span>The study was conducted on Risk management and performance of Construction projects implemented by NPD Ltd, the study specifically will be conducted in NPD Ltd, the target population was <span>600</span> employes and <span> </span>sample size was undertaken to be <span>86</span> respondents </span><span>Study used<span> </span>descriptive statistics and inferential statistics, both qualitative and quantitative were used to analyse the data with assistance of SPSS software program version 25.0 ,</span><span>descriptive statistics and inferential statistics were used to present frequencies tables, percentages, mean and standard deviation and Inferential analysis was used in order to use Pearson correlation and multiple regression model to test the relationship between the independent variables and dependent variable.</span><span>Descriptive statistics to produce frequency tables, percentages and mean. Inferential statistics were used in order to give person correlation and multiple regression models to test and draw relationship between variables both for independent band dependent, the relationship between risk planning and performance of construction projects implemented by NPD Ltd in Kicukiro district.</span><span> The overall means</span><span> of results was <span>4.50,</span></span><span> the relationship between risk analysis and performance of construction projects implemented by NPD Ltd in Kicukiro district w</span><span>as <span>4.50,</span></span><span> the relationship between risk analysis and performance of construction projects implemented by NPD Ltd in Kicukiro district.</span><span> The overall means</span><span> of results was<span> 4.60,</span></span><span> the relationship between risk response and performance of construction projects implemented</span><span> by NPD Ltd in Kicukiro district.</span><span> The overall means</span><span> of results was<span> 4.49,</span></span><span> </span><span>to examine the relationship between risk mitigation and performance of construction projects</span><span> implemented by NPD Ltd in Kicukiro district.</span><span> The overall means</span><span> of results was <span>4.27 and </span>the data on </span><span>performance of project </span><span>was</span><span> analyzed, the overall means of results was </span><span>4.52</span><span>.</span><span> Depending on the results, it presented that the performance of project was on good grades. It indicated that the relationship between risk management and performance of project on road construction between risk planning, risk analysis, risk response and risk mitigation and performance was <span>0.617, 0.855 ,0<sup> </sup>.867and 0.827</span> </span><span>respectively, and the results presented than the variables were statistically significant with p value=0.000b</span><span>.</span><span> The results present the variables of Risk management; <span>Risk Planning, </span>was not statistically significant with p value=0.479<sup>b</sup>, the <span>Risk Analysis</span> was statistically significant with p value=0.010<sup>b</sup>, and the <span>Risk Response</span> was statistically significant with p value=0.000<sup>b</sup>. And the <span>Risk Mitigation</span> was statistically significant with p value=0.000<sup>b</sup>. </span><span>It concluded that there was a significant relationship between risk management and performance of project. The study recommended that</span><span><span> MINFRA should</span></span><span> mobilize Rwandans to</span><span> be involved in construction activities in order to earn money as the sector engage many labors. </span></p> </div> <p><strong><span> </span></strong></p> <p><strong><span> </span></strong></p> <p><strong><span>Keywords: </span></strong><span>Risk management, performance, Road construction project and implementation </span></p>
STUDY OF PHYSICAL-CHEMICAL AND MECHANICAL PROPERTIES OF NEW DENTAL SEALANTS FORMULATIONS
<p><span><span><span>Data from the tests reported in the article "STUDY OF PHYSICAL-CHEMICAL AND MECHANICAL PROPERTIES OF NEW FORMULATIONS OF DENTAL SEALANTS".</span></span> Revista Cubana de Estomatología<span><span>.</span></span></span></p> <p>Datos de los ensayos reportados en el artículo "ESTUDIO DE PROPIEDADES FÍSICO-QUÍMICAS Y MECÁNICAS DE NUEVAS FORMULACIONES DE SELLANTES DENTALES". Revista Cubana de Estomatología.</p>
Data for "Thermodynamic stability and vibrational properties of multi-alkali antimonides"
<p>Input and output files of the calculations presented in the publication <em>"Thermodynamic stability and vibrational properties of multi-alkali antimonides</em>".</p> <p>All the DFT-relaxation and supercell calculations necessary to obtain the phonon properties are included. For Cs3Sb, K3Sb, and Na3Sb, additional calculations for each exchange-correlation functional are provided.</p>
AiiDA archive of the study of electronic properties of HexP-Monolayer on Au(111) using Quantum ESPRESSO framework
Open the record for dataset details and reuse information.
Machine Learning-based Analysis of Electronic Properties as Predictors of Anticholinesterase Activity in Chalcone Derivatives
<p>In this study, we investigated the correlation between the electronic properties of anticholinesterase compounds and their biological activity. While the methodology of such correlation is well-established and has been effectively utilized in previous studies, we employed a more sophisticated approach: machine learning. Initially, we focused on a set of 22 molecules sharing a common chalcone skeleton and categorized them into two groups based on their IC50 indices: high activity and low activity. Utilizing the open-source software Orca, we conducted calculations to determine the geometries and electronic structures of these molecules. Over a hundred parameters were collected from these calculations, serving as the foundation for the features used in machine learning. These parameters included the Mulliken and Lowdin electronic populations of each atom within the skeleton, molecular orbital energies, and Mayer's free valences. Through our analysis, we developed numerous models and identified several successful candidates for effectively distinguishing between the two groups. Notably, the most informative descriptor for this separation relied solely on electronic populations and orbital energies. By understanding which computationally calculated properties are most relevant to specific biological activities, we can significantly enhance the efficiency of drug development processes, saving both time and resources.</p>
Raw data: The Chemical and Electronic Properties of Stability-Enhanced, Mixed Ir-TiOx Oxygen Evolution Reaction Catalysts
<p>Raw data for the publication:</p> <h4><em>The Chemical and Electronic Properties of Stability-Enhanced, Mixed Ir-TiO<sub>x</sub> Oxygen Evolution Reaction Catalysts</em></h4> <div>Marianne van der Merwe, Raul Garcia-Diez, Leopold Lahn, R. Enggar Wibowo, Johannes Frisch, Mihaela Gorgoi, Wanli Yang, Shigenori Ueda, Regan G. Wilks, Olga Kasian, and Marcus Bär</div> <div>ACS Catalysis <strong>2023</strong> <em>13</em> (23), 15427-15438</div> <p>DOI: 10.1021/acscatal.3c02948</p> <p><strong>Copyright © 2023 The Authors. Published by American Chemical Society</strong>. This publication is licensed under <a href="https://creativecommons.org/licenses/by/4.0/">CC-BY 4.0</a>.</p>
Phonon Properties and Lattice Dynamics of Two- and Tri-Layered Lead Iodide Perovskites Comprising Butylammonium and Methylammonium Cations—Temperature-Dependent Raman Studies
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Mobility of magmas within the Earth: Insights from the elasticity and transport properties of hydrous albitic melts
<p>Results from first-principles molecular dynamics simulations of anhydrous and hydrous albitic melts.</p>
Data set for publication "Effect of milling atmosphere on stability and surface properties of ZnO/vermiculite hybrid nanocomposite powders"
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.