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3,206 results for “property (T)”
Scheme 5 from: Ihnatova T, Kaplaushenko A, Frolova Y, Pryhlo E (2021) Synthesis and antioxidant properties of some new 5-phenethyl-3-thio-1,2,4-triazoles. Pharmacia 68(1): 129-133. https://doi.org/10.3897/pharmacia.68.e53320
Scheme 5 Synthesis of alkyl 2-((4-ethyl-5-phenethyl-1,2,4-triazole-3-yl)thio)acet(benz)imidates.
Scheme 6 from: Ihnatova T, Kaplaushenko A, Frolova Y, Pryhlo E (2021) Synthesis and antioxidant properties of some new 5-phenethyl-3-thio-1,2,4-triazoles. Pharmacia 68(1): 129-133. https://doi.org/10.3897/pharmacia.68.e53320
Scheme 6 Synthesis of 3-(heptylthio)-5-phenethyl-4H-1,2,4-triazole.
Data from: Modeling spatial patterns of soil respiration in maize fields from vegetation and soil property factors with the use of remote sensing and geographical information system
To examine the method for estimating the spatial patterns of soil respiration (Rs) in agricultural ecosystems using remote sensing and geographical information system (GIS), Rs rates were measured at 53 sites during the peak growing season of maize in three counties in North China. Through Pearson's correlation analysis, leaf area index (LAI), canopy chlorophyll content, aboveground biomass, soil organic carbon (SOC) content, and soil total nitrogen content were selected as the factors that affected spatial variability in Rs during the peak growing season of maize. The use of a structural equation modeling approach revealed that only LAI and SOC content directly affected Rs. Meanwhile, other factors indirectly affected Rs through LAI and SOC content. When three greenness vegetation indices were extracted from an optical image of an environmental and disaster mitigation satellite in China, enhanced vegetation index (EVI) showed the best correlation with LAI and was thus used as a proxy for LAI to estimate Rs at the regional scale. The spatial distribution of SOC content was obtained by extrapolating the SOC content at the plot scale based on the kriging interpolation method in GIS. When data were pooled for 38 plots, a first-order exponential analysis indicated that approximately 73% of the spatial variability in Rs during the peak growing season of maize can be explained by EVI and SOC content. Further test analysis based on independent data from 15 plots showed that the simple exponential model had acceptable accuracy in estimating the spatial patterns of Rs in maize fields on the basis of remotely sensed EVI and GIS-interpolated SOC content, with R2 of 0.69 and root-mean-square error of 0.51 µmol CO2 m−2 s−1. The conclusions from this study provide valuable information for estimates of Rs during the peak growing season of maize in three counties in North China.
Data from: Enhancement on the electrochemical properties of commercial coconut shell-based activated carbon by H2O dielectric barrier discharge plasma
Commercial coconut shell-based activated carbon (CSAC) has low specific capacitance and specific capacitance retention owing to its undeveloped pore structure and low proportion of heteroatoms. In this study, dielectric barrier discharge (DBD) plasma was used to enhance the specific capacitance and rate capability of CSAC. H2O was used as excited medium to introduce oxygen functional groups. The physicochemical properties of CSAC and CSAC modified by H2O plasma (HCSAC) were revealed by automated surface area and pore size analysis, Fourier transform infrared spectroscopy (FTIR), X-ray photoelectron spectroscopy (XPS) and Raman spectroscopy (Raman). Electrochemical workstation was applied to investigate the electrochemical properties of CSAC and HCSAC. Obtained results showed that plasma modification improved the specific capacitance of CSAC by 64.8% (current density, 1 A g-1; electrolyte, 6 M KOH solution) within 100 seconds. This result is ascribed to the oxygen functional groups introduced to the surface of CSAC. It can also improve hydrophilicity and wettability of the carbon surface leading to an increase from 76.7% to 84.6% in specific capacitance retention. Furthermore, H2O plasma modification can introduce oxygen functional groups without destroying the initial pore structures of CSAC. In summary, we provide a simple, fast, environment-friendly modification method to enhance the electrochemical properties of CSAC.
Data from: Properties of different selection signature statistics and a new strategy for combining them
Identifying signatures of recent or ongoing selection is of high relevance in livestock population genomics. From a statistical perspective, determining a proper testing procedure and combining various test statistics is challenging. On the basis of extensive simulations in this study, we discuss the statistical properties of eight different established selection signature statistics. In the considered scenario, we show that a reasonable power to detect selection signatures is achieved with high marker density (>1 SNP/kb) as obtained from sequencing, while rather small sample sizes (~15 diploid individuals) appear to be sufficient. Most selection signature statistics such as composite likelihood ratio and cross population extended haplotype homozogysity have the highest power when fixation of the selected allele is reached, while integrated haplotype score has the highest power when selection is ongoing. We suggest a novel strategy, called de-correlated composite of multiple signals (DCMS) to combine different statistics for detecting selection signatures while accounting for the correlation between the different selection signature statistics. When examined with simulated data, DCMS consistently has a higher power than most of the single statistics and shows a reliable positional resolution. We illustrate the new statistic to the established selective sweep around the lactase gene in human HapMap data providing further evidence of the reliability of this new statistic. Then, we apply it to scan selection signatures in two chicken samples with diverse skin color. Our analysis suggests that a set of well-known genes such as BCO2, MC1R, ASIP and TYR were involved in the divergent selection for this trait.
Data from: A polymer dataset for accelerated property prediction and design
Emerging computation- and data-driven approaches are particularly useful for rationally designing materials with targeted properties. Generally, these approaches rely on identifying structure-property relationships by learning from a dataset of sufficiently large number of relevant materials. The learned information can then be used to predict the properties of materials not already in the dataset, thus accelerating the materials design. Herein, we develop a dataset of 1,073 polymers and related materials and make it available at http://khazana.uconn.edu/. This dataset is uniformly prepared using first-principles calculations with structures obtained either from other sources or by using structure search methods. Because the immediate target of this work is to assist the design of high dielectric constant polymers, it is initially designed to include the optimized structures, atomization energies, band gaps, and dielectric constants. It will be progressively expanded by accumulating new materials and including additional properties calculated for the optimized structures provided.
Data from: First-principles calculations of structural, electronic, magnetic and elastic properties of Mo2FeB2 under high pressure
The structural and electronic density of states, magnetic, and elastic properties of Mo2FeB2 under high pressure have been investigated with first principles calculations. Furthermore, the thermal dynamic properties of Mo2FeB2 were also studied with the quasiharmonic Debye model. The volume of Mo2FeB2 decreases with the increasing pressure. Using the analysis of the density of the states, atom population and Mulliken overlap population, it is observed that as the pressure increases, the B-B bonds are strengthened, and the B-Mo covalency decreases. Moreover, for all pressures, Mo2FeB2 is detected in the antiferromagnetic phase and the magnetic moments decrease with the increasing pressure. The calculated bulk modulus, shear modulus, Young's modulus, Poisson's ratio and universal anisotropy index all increase with the increasing pressure. From thermal expansion coefficient analysis, it is found that Mo2FeB2 shows good volume invariance under high pressure and temperature. The examination of the dependence of heat capacity on the temperature and pressure shows that heat capacity is more sensitive to temperature than to pressure
Experimental data on the physicochemical properties of non- and low-alcohol beers produced with commercial maltose- and maltotriose-negative yeasts
<p>Globally, beer consumption has been stagnating, yet the consumption and popularity of non-alcohol and low-alcoholic beers (NABLAB) is still increasing. NABLAB are mainly produced by removing ethanol from a traditional beer through distillation or nanofiltration. These processes require high investment costs, energy and/or water consumption. An interesting alternative is preventing alcohol production by using alternative yeasts. Much research has been focused on maltose- and/or maltotriose-negative yeasts, and several are commercially available. However, a comparative study between commercial yeasts has not yet been done, making it difficult for a brewer to estimate the impact of these alternative yeasts. Therefore, test beers were made on 20 L-scale with nine commercial NABLAB yeasts. These beers (and used wort samples) were chemically analytically analyzed to compare different commercial yeasts and evaluate the resulting beers. This dataset contains physicochemical properties (alcohol, degree of fermentation, density, extract, color, haze, foam stability, pH, sugars, amino acids, FAN, glycerol, viscosity, bitterness, total polyphenols, higher alcohols, esters, aldehydes, diacetyl, and DMS) of wort and the resulting beers after fermentation with commercial yeasts, including 7 maltose-negative and 2 maltotriose-negative, as well as 2 reference yeasts. All fermentations were carried out as biological duplicates, hence two batches for each yeast. Data are given as the mean of technical replicate analysis, with a distinction made between the biological replicate fermentations. </p>
Dataset of "Pore-scale simulation of the impact of CO2-Water-Mineral Interaction on Rock Permeability and Mechanical Properties"
<p>This dataset supports the research study 'Pore-scale simulation of the impact of CO2-Water-Mineral Interaction on Rock Permeability and Mechanical Properties' by B. Yang, T. Xu, Z. Jiang, and H. Zhu.</p>
Supporting information for: "Impacts of the Imidazolate Linker Substitution (CH3, Cl or Br) on the Structural and Adsorptive Properties of ZIF-8"
<p>Simulation output for each system in a .tar.xz file, containing four files:</p><ul><li>*.pos.xyz: trajectory in XYZ format</li><li>*.vel.xyz: velocities at each step in XYZ format</li><li>*.frc.xyz: forces at each step in XYZ format</li><li>*.stress: stress matrix at each step</li></ul><p>Initial conformation for ab initio simulations are provided as .pdb files.</p>
SOIL STRUCTURE AND CHANGES IN THEIR PHYSICAL PROPERTIES UNDER THE INFLUENCE OF EROSION PROCESSES
Open the record for dataset details and reuse information.
Random Forest Cloud Model for Predicting Liquid Cloud Microphysical Properties from A-Train Data
<p>Code for creating and analyzing the performance of a random forest model to predict cloud optical depth and cloud top effective radius from A-train satellite observations. Because of storage limitations, this directory does not include full satellite dataset, but the CloudSat data is available from the CloudSat Data Processing center (https://www.cloudsat.cira.colostate.edu/) and the CALIPSO data from NASA's Atmospheric Science Data Center (https://asdc.larc.nasa.gov/project/CALIPSO). </p>
Data for Study of Thermal and Physical Mechanic Properties of CEB-reused PET
<p>Source for obtaintion of Figure 2, graphic of elemental analysis and Figure 5, Graphic of results for heat transfer model with the sample, where the "x" axis is time (in hours), and the "y" axis is temperature (in celsius degrees).</p>
Dataset for publication 7. Eslam El-Seidy, Mehdi Chougan, Yazeed A. AI-Noaimat, Mazen J. Al-Kheetan, Seyed Hamidreza Ghaffar. (2024). The impact of waste brick and geo-cement aggregates as sand replacement on the mechanical and durability properties of alkali–activated mortar composites, Results in Engineering, doi: https://doi.org/10.1016/j.rineng.2024.101797
Open the record for dataset details and reuse information.
Figure 3 from: Naji GH, Al Gawhari FJ (2024) Evaluation of types and concentration of bile salts impact on physical properties of nisoldipine-loaded bilosomes. Pharmacia 71: 1-7. https://doi.org/10.3897/pharmacia.71.e116917
Figure 3 Effect of different concentrations of different bile salts on vesicle size (p < 0.05).
Figure 6 from: Naji GH, Al Gawhari FJ (2024) Evaluation of types and concentration of bile salts impact on physical properties of nisoldipine-loaded bilosomes. Pharmacia 71: 1-7. https://doi.org/10.3897/pharmacia.71.e116917
Figure 6 FTIR for A. Pure NSD; B. Physical Mixture; C. F2 NSD bilosome formula.
Figure 1 from: Naji GH, Al Gawhari FJ (2024) Evaluation of types and concentration of bile salts impact on physical properties of nisoldipine-loaded bilosomes. Pharmacia 71: 1-7. https://doi.org/10.3897/pharmacia.71.e116917
Figure 1 Effect of type of bile salts on entrapment efficiency (p < 0.05).
Figure 4 from: Naji GH, Al Gawhari FJ (2024) Evaluation of types and concentration of bile salts impact on physical properties of nisoldipine-loaded bilosomes. Pharmacia 71: 1-7. https://doi.org/10.3897/pharmacia.71.e116917
Figure 4 Effect of bile salts kinds on vesicle dimensions (p < 0.05).
Figure 2 from: Naji GH, Al Gawhari FJ (2024) Evaluation of types and concentration of bile salts impact on physical properties of nisoldipine-loaded bilosomes. Pharmacia 71: 1-7. https://doi.org/10.3897/pharmacia.71.e116917
Figure 2 Effect of Bile salt concentration on Entrapment Efficiency (p < 0.05).
Data for Impact of nano-dopants on the mechanical and physical properties of magnesium oxychloride cement composites – experimental assessment
<p>The importance of the World’s reduction of CO2 emissions is inevitable as CO2 is one of the main contributors to climate change. As the Portland cement (PC) industry is a non-negligible contributor to the World’s CO2 emissions, a sustainable PC substitute must be implemented. Previous scientific studies suggest that magnesium oxychloride cement (MOC) – an eco-friendly binder based on reactive magnesia – could be a suitable alternative. This contribution studies the influence of various nanoadditives on the mechanical and physical properties of MOC-based composites. The nanoadditives introduced to the MOC composite were the following: multi-walled carbon nanotubes, oxidized multi‑walled carbon nanotubes, graphene oxide, graphene nanoplatelets, and alumina nanosheets. Ahead of the composite preparation, the nanoadditives were analysed with a wide spectrum of analytical methods to study their composition and microstructure in detail. The used amount of nanoadditive was 1.0 wt.%, relative to the cement paste weight. After a curing period of 28 days, the prepared composite samples underwent a comprehensive analysis of their microstructure, phase, and chemical composition, as well as micro- and macrostructural parameters and mechanical properties. Additionally, the research studied the effects of nanoadditives on the hygric properties and water resistance of the MOC composites after 24-h immersion in water. The findings revealed a noteworthy increase in mechanical performance with the addition of nano-dopants. The highest compressive strength of 85.4 MPa was obtained for the MOC composite enriched with the addition of oxidized multi-walled carbon nanotubes. MOC doped with alumina nanosheets exhibited the best flexural strength (20.99 MPa) and dynamic modulus of elasticity (38.85 GPa). The resistance of MOC composites to deterioration in water was also improved by all the nanoadditives investigated. The softening coefficient determined for samples immersed in water for 24 h varied from 62.7 to 74.8. The best resistance to water degradation was obtained for MOC with alumina nanoadditive, which showed a softening coefficient value about 23.2% higher than that of the reference sample. Thus, the incorporation of nanomaterials as functional nanoadditives in MOC-based composites shows promising advances in both mechanical properties and water resistance, contributing to the development of environmentally sustainable building materials.</p>
ScienceDex guides
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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.