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954 results for “ZINC”
iSDAsoil: soil extractable Zinc for Africa predicted at 30 m resolution at 0-20 and 20-50 cm depths
<p>iSDAsoil dataset soil extractable Zinc (Zn) log-transformed predicted at 30 m resolution for 0–20 and 20–50 cm depth intervals. Data has been projected in WGS84 coordinate system and compiled as <a href="https://gdal.org/drivers/raster/cog.html">COG</a>. Predictions have been generated using multi-scale Ensemble Machine Learning with 250 m (MODIS, PROBA-V, climatic variables and similar) and 30 m (DTM derivatives, Landsat, Sentinel-2 and similar) resolution covariates. For model training we use a pan-African compilations of soil samples and profiles (<a href="https://www.isda-africa.com/national-soil-services/">iSDA points</a>, <a href="https://www.isric.org/projects/africa-soil-profiles-database-afsp">AfSPDB</a>, and other national and regional soil datasets). Cite as:</p> <p>Hengl, T., Miller, M.A.E., Križan, J. <em>et al.</em> African soil properties and nutrients mapped at 30 m spatial resolution using two-scale ensemble machine learning. <em>Sci Rep</em> <strong>11, </strong>6130 (2021). <a href="https://doi.org/10.1038/s41598-021-85639-y">https://doi.org/10.1038/s41598-021-85639-y</a></p> <p>To open the maps in QGIS and/or directly compute with them, please use the <a href="https://gitlab.com/openlandmap/africa-soil-and-agronomy-data-cube"><strong>Cloud-Optimized GeoTIFF version</strong></a>.</p> <p>Layer description:</p> <ul> <li>sol_log.zn_mehlich3_m_30m_*..*cm_2001..2017_v0.13_wgs84.tif = predicted soil extractable Zinc mean value,</li> <li>sol_log.zn_mehlich3_md_30m_*..*cm_2001..2017_v0.13_wgs84.tif = predicted soil extractable Zinc model (prediction) errors,</li> </ul> <p>Model errors were derived using bootstrapping: md is derived as standard deviation of individual learners from 5-fold cross-validation (using spatial blocking). The model 5-fold cross-validation (<a href="https://mlr.mlr-org.com/reference/makeStackedLearner.html">mlr::makeStackedLearner</a>) for this variable indicates:</p> <pre><code>Variable: log.zn_mehlich3 R-square: 0.711 Fitted values sd: 0.588 RMSE: 0.375 Random forest model: Call: stats::lm(formula = f, data = d) Residuals: Min 1Q Median 3Q Max -2.1382 -0.2038 -0.0274 0.1632 3.6353 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 1.836394 1.555108 1.181 0.23766 regr.ranger 0.823144 0.013982 58.871 < 2e-16 *** regr.xgboost 0.037861 0.013644 2.775 0.00552 ** regr.cubist 0.169653 0.010091 16.813 < 2e-16 *** regr.nnet -1.511745 1.244933 -1.214 0.22463 regr.cvglmnet 0.009770 0.008046 1.214 0.22467 --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 Residual standard error: 0.3747 on 39344 degrees of freedom Multiple R-squared: 0.7109, Adjusted R-squared: 0.7109 F-statistic: 1.935e+04 on 5 and 39344 DF, p-value: < 2.2e-16</code></pre> <p>To back-transform values (y) to ppm use the following formula:</p> <pre><code>ppm = expm1( y / 10 )</code></pre> <p>To submit an issue or request support please visit <a href="https://isda-africa.com/isdasoil"><strong>https://isda-africa.com/isdasoil</strong></a></p>
Dataset to reproduce MD simulations described in " Insights on the dynamics of the human zinc transporter ZnT8 by MD simulations"
<p>Second version includes full length 6xpf-based models and corresponding MD simulations.</p>
Effects of high dietary zinc supplementation timing on the biological responses of gestating sows and their piglets
<p class="MsoNormal">High dietary zinc (Zn) fed to gestating sows may have utility as a fetal imprinting strategy to decrease pre-weaning mortality of piglets. However, the biological action that Zn may work through is unknown. High Zn may modulate the microbiome of the sow and the microbial seeding of the offspring's gut microbiome. Additonally, high dietary Zn and piglet birth weight may alter gene expression in piglet whole blood. Sows (n = 267) were fed 1 of 3 dietary treatments: 1) Control: a corn-soybean meal-based diet containing 125 ppm total supplemental zinc, 2) Breed-to-Farrow: as Control + 141 ppm supplemental Zn as ZnSO<sub>4 </sub>fed from 5 days post-breeding to farrowing; and 3) Day 110-to-Farrow: as Control + 2,715 ppm supplemental Zn as ZnSO<sub>4 </sub>starting on day 110 of gestation until farrowing. A subset of third parity sows (n = 30) were selected to assess the microbiome of colostrum, milk, and rectal and vaginal surfaces of sows. At farrowing, 4 pigs per litter (n = 120) were selected based on birthweight (BiW), as 2 average BiW pigs and 2 pigs with BiW below the litter average were selected for assessing the piglet gut microbiome on the day of birth (day 0) and day 5 of age. 16S rRNA sequencing were implemented for milk and colostrum samples while all other sample types were sequenced using shotgun metagenomics to determine taxonomic and functional profiles. On a different subset of pigs, whole blood was collected from 9 LBW pigs per treatment and 8 ABW Control pigs for RNA-sequencing to evaluate differentially expressed genes (DEGs) and pathways. Only 2 to 3 genes were differentially expressed between Control LBW and LBW pigs born to sows fed high Zn. However, 262 DEGs were identified when comparing LBW and ABW pigs, mostly reflecting pathways associated with translation, ribosome biogenesis, and amino acid and protein synthesis. Measures of alpha diversity (richness and Shannon's H Index) and beta diversity (Bray-Curtis, PERMANOVA) were conducted along with indicator species analyses. Species with an indicator value of > 0.50 were confirmed with a generalized linear mixed model as each <em>P</em>-value was corrected for false discovery rate (FDR) to generate a Q-value. For piglet samples, the MaAsLin2 R package was used to determine multivariate associations between dietary treatment and piglet BiW. High dietary concentrations of Zn fed to gestating sows did not affect the colostrum, milk, or vaginal microbial diversity or populations of sows. Pathogenic bacteria such as <em>Shigella flexneri </em>and <em>Salmonella enterica</em> were less abundant in fecal samples from Breed-to-Farrow sows compared to Control sows. For piglets born to Breed-to-Farrow sows, their gut microbiome favored fiber fermenting, short chain fatty acid generating microbial species compared to Control pigs. Day 110-to-Farrow piglets demonstrated a lower abundance of SCFA producing bacteria compared to Control piglets. Gene families and pathways playing roles in central metabolic functions (starch, pyruvate, sucrose, amino acid metabolism) were more abundant in Breed-to-Farrow piglets compared to pigs born to Control sows. In conclusion, high Zn fed to gestating sows may influence SCFA-producing species and may reduce the abundance of potential pathogenic bacteria in the sow and piglet. Piglet birth weight may have greater effects on gene expression of neonatal pigs. </p>
Understanding Zinc isotopic signatures in volcanic lakes
<p>Dataset for the publication entitled "Understanding Zinc isotopic signatures in volcanic lakes" published in GCA.</p>
Dataset for publication "Decoding Niobium Carbide MXene Dual Functional Photoactive Cathode in Photoenhanced Hybrid Zinc-Ion Capacitor"
<p>This is a dataset for publication "Decoding Niobium Carbide MXene Dual-Functional Photoactive Cathode in Photoenhanced Hybrid Zinc-Ion Capacitor". It contains all relevant data from the aforementioned publication. The details about how to read these data is contained within the readme file.</p>
Discovery of Natural Dual Inhibitors from ZINC Database Targeting Thymic Stromal Lymphopoietin (TSLP) and Interleukin-33 (IL-33) as Potential Anti-Allergy Agents - MD Simulation XVG Files and Complex PDB Files (Docking Results)
<p>This repository contains input and output files of MD simulations along with MM/PBSA related files</p> <p>Manuscript Title: Discovery of Natural Dual Inhibitors from ZINC Database Targeting Thymic Stromal Lymphopoietin (TSLP) and Interleukin-33 (IL-33) as Potential Anti-Allergy Agents</p> <p> </p>
Species interactions in three Lemnaceae species growing along a gradient of zinc pollution
<p>We tested whether the presence of a second species influenced the growth rate of the three duckweed species <em>Lemna minor, Lemna gibba, </em>and<em> Lemna turionifera</em>. We used four different Zn concentrations in a replicated microcosm experiment under sterile conditions, either growing the species in isolation or in a 2-species mixture. The cultures were kept in an incubator 20 °C with a light regime of 16/8h light/dark for 17 days.</p> <p>There is one data set with the number of fronds (individuals) counted over 8 times over a period of 17 days. The metadata is contained in the data file. </p>
Data for: A zinc-finger fusion protein refines Gal4-defined neural circuits
<p>This is microscopy image data and related information for</p> <p><strong>A zinc-finger fusion protein refines Gal4-defined neural circuits</strong></p> <p>The analysis of behavior requires that the underlying neuronal circuits are identified and genetically isolated. In several major model species—most notably Drosophila, neurogeneticists identify and isolate neural circuits with a binary, heterologous, expression control system: Gal4-UASG. One limitation of Gal4-UASG is that expression patterns are often too broad to map circuits precisely. To help refine the expression of Gal4 lines, we developed an intersectional genetic AND operator. Interoperable with Gal4, the new system’s key component is a fusion protein in which the DNA-binding domain of Gal4 has been replaced with a zinc finger domain with a different DNA-binding specificity. In combination with its cognate binding site (UASZ) the zinc-finger-replaced Gal4 (‘Zal1’) was functional as a standalone transcription factor. Zal1 transgenes also refined Gal4 expression ranges when combined with UASGZ, a hybrid upstream activation sequence. In this way, combining Gal4 and Zal1 drivers captured restricted cell sets compared with single drivers and improved genetic fidelity. This intersectional genetic AND operation presumably derives from the action of a heterodimeric transcription factor: Gal4-Zal1. Configurations of Zal1-UASZ and Zal1-Gal4-UASGZ are versatile tools for defining, refining, and manipulating targeted neural expression patterns with precision.</p>
Dataset for publication "Tuning germanane bandgap via cyanoethyl functionalization for cutting-edge photoactive cathodes: photo-enhanced hybrid zinc-ion capacitor evaluation"
<p>This is a dataset for a paper "Tuning germanane bandgap via cyanoethyl functionalization for cutting-edge photoactive cathodes: photo-enhanced hybrid zinc-ion capacitor evaluation". All details about the data are included in the readme file.</p>
Fig. 3 in Effect Of Zinc And Cadmium Ions On Histostructure Of Antennal Glands Of Marbled Crayfish Procambarus Fallax (Hagen, 1870) F. Virginalis (Decapoda)
Fig. 3. Antennal gland of marbled crayfish under influence of zink (40х).
Fig. 3 in Positive Effect Of Compost Application On Oil Pumpkins Growth And Zinc Enrichment
Fig. 3. Influence of zinc content in compost for fruits maturity.
Fig. 2 in Positive Effect Of Compost Application On Oil Pumpkins Growth And Zinc Enrichment
Fig. 2. Accumulation of zinc in seeds depending on the properties of compost.
Fig. 2 in Effect Of Zinc And Cadmium Ions On Histostructure Of Antennal Glands Of Marbled Crayfish Procambarus Fallax (Hagen, 1870) F. Virginalis (Decapoda)
Fig. 2. Histology of antennal gland of marbled crayfish control (40x).
Apo USP5 zinc-finger ubiquitin binding domain structure solution 2018/03/30
<p>USP5 zinc-finger ubiquitin binding domain structure solution to 1.55 Å resolution</p>
Wired for Stability: Evaluating Electrical Performance in Zinc Oxide-Modified Silver Nanowire Solution-Processed Transparent Electrode
<p>Characterisation dataset for “<span>Wired for Stability: Evaluating Electrical Performance in Zinc Oxide-Modified Silver Nanowire Solution-Processed Transparent Electrode</span>”, DOI:xx. Data for main and supporting figures provided as *.xlsx and *.txt files.</p>
Supplementary Table S1. Combined analysis of variance containing the degrees of freedom (DF), mean squares (MS), P value (P val.), mean, coefficient of experimental variation (CEV%) and selective accuracy (SA) for the traits of luminosity (L*), chromaticity a* (a*), chromaticity b* (b*), grain length (length, mm), grain width (width, mm), grain thickness (thickness, mm), mass of 100 grains (Mass, g), normal grains (Ng, %), water absorption (absorption, %), cooking time (Ct, min:s), and concentrations of potassium (K, g kg-1 dry matter - DM), phosphorus (P, g kg-1 DM), calcium (Ca, g kg-1 DM), magnesium (Mg, g kg-1 DM), iron (Fe, mg kg-1 DM), zinc (Zn, mg kg-1 DM), and copper (Cu, mg kg-1 DM) obtained in 25 common bean cultivars evaluated in four experiments carried out from 2019 to 2021
<p><strong><span>Table S1.</span></strong><span> Combined analysis of variance.</span></p> <p><strong><span>Indirect selection for multiple technological and nutritional traits in common bean cultivars under different degrees of multicollinearity</span></strong></p> <p><strong><span>Bragantia, 2024.</span></strong></p>
The Atomic-Level Structure of Zinc-Modified Cementitious Calcium Silicate Hydrate
<p>It has recently been demonstrated that the addition of zinc can enhance the mechanical strength of tri-calcium silicates (C<sub>3</sub>S) upon hydration, but the structure of the main hydration product of cement, calcium silicate hydrate (C-S-H), in zinc-modified formulations remains unresolved. Here we combine <sup>29</sup>Si DNP enhanced solid-state nuclear magnetic resonance (NMR), density functional theory (DFT) based chemical shift computations and molecular dynamics (MD) modelling to determine the atomic-level structure of zinc-modified C-S-H. The structure contains two main new silicon species (Q<sup>(1,Zn)</sup> and Q<sup>(2p,Zn)</sup>) where zinc substitutes Q<sup>(1)</sup> silicon species in dimers and bridging Q<sup>(2b)</sup> silicon sites, respectively. Structures determined as a function of zinc content show that zinc promotes an increase in the dreierketten mean chain lengths.</p> <p>The uploaded folder contains the pertinent CIF files, DFT files, raw NMR data files, raw XRD data files, and LAMMPS input files.</p>
Investigation via Electron Microscopy and Electrochemical Impedance Spectroscopy of the Effect of Aqueous Zinc Ions on Passivity and the Surface Films of Alloy 600 in PWR PW at 320 C
<p>This upload includes the raw EDS data in Bruker Esprit format and the raw EIS data in excel dat format that is presented in the manuscript published in Corrosion and Materials Degradation entitled <em>Investigation via Electron Microscopy and Electrochemical Impedance Spectroscopy of the Effect of Aqueous Zinc Ions on Passivity and the Surface Films of Alloy 600 in PWR PW at 320 C.</em></p>
Zinc(II) Complexes with Triplet Charge-Transfer Excited States Enabling Energy-Transfer Catalysis, Photoinduced Electron Transfer, and Upconversion
<p>Raw data to the graphs of the publication</p>
Computational Data for "Synthesis, Structures and Photophysical Properties of Tetra- and Hexanuclear Zinc Complexes Supported by Tridentate Schiff Base Ligands"
<p>Computational data used for the article "Synthesis, Structures and Photophysical Properties of Tetra- and Hexanuclear Zinc Complexes Supported by Tridentate Schiff Base Ligands". This Includes the geometries, optimizations, and the TD-DFT calculations of all mentioned structures and simulated UV-Vis spectra.</p>
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