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22 results for “bentonite”
Figure 7 in Conditioning of desert sandy soil and investigation of the ameliorative effects of poultry manure and bentonite treatment rate on plant growth
Figure 7. Principal component analysis (PCA) showing loading of each studied attribute (arrow) and arrow lengths approximate their variance whereas the angles between them represent their correlation.The abbreviations are Poultry Manure (PM), Bentonite (B), Plant Height (PH), Number of Leaves (L), Root Length (RL), Dry Shoot Weight (DS), Dry Root Length (DR), Root to Shoot Ratio (RS), Number of Secondary Branches (SB), Max Branch Length (LPB), Chlorophyll contents (SPAD), Chlorophyll a* (CHL a), Chlorophyll b* (CHL b).
Figure 5 in Conditioning of desert sandy soil and investigation of the ameliorative effects of poultry manure and bentonite treatment rate on plant growth
Figure 5. Corrplot (Correlation plot) represents correlation matrix among different attributes of Bougainvillea followed by treatments as (1) L100 (2) L95A (3) L95B (4) L90A (5) L90B. L100 substrate contains 100% Lehbab Sandy Soil without any addition of Bentonite and Poultry Manure. L95A substrate contains 95% Lehbab Sandy Soil, 5% Bentonite, and 10% Poultry Manure.L95B substrate contains 95% Lehbab Sandy Soil, 5% Bentonite, and 15% Poultry Manure. L90A substrate contains 90% Lehbab Sandy Soil, 10% Bentonite, and 10% Poultry Manure. L90B substrate contains 90% Lehbab Sandy Soil, 10% Bentonite, and 15% Poultry Manure. The dark blue color shows a high positive correlation while light blue and sky blue represent less association among measured parameters. The color legend on the right-hand side of corrplot shows the correlation coefficient and corresponding colors. The abbreviations are Lehbab Sandy Soil (LS) Poultry Manure (PM), Bentonite (B), Plant Height (PH), Number of Leaves (L), Root Length (RL), Dry Shoot Weight (DS), Dry Root Length (DR), Root to Shoot Ratio (RS), Number of Secondary Branches (SB), Max Branch Length (LPB), Chlorophyll contents (SPAD), Chlorophyll a* (CHL a), Chlorophyll b* (CHL b).
Figure 3 in Conditioning of desert sandy soil and investigation of the ameliorative effects of poultry manure and bentonite treatment rate on plant growth
Figure 3. Comparison of Dry Shoot Weight, Dry Root Weight, and Root/Shoot ratio for Bougainvillea plants grown in different substrates (Treatment L100, L95A, L95B, L90A, and L90B. L100 substrate contains 100% Lehbab Sandy Soil without any addition of Bentonite and Poultry Manure. L95A substrate contains 95% Lehbab Sandy Soil, 5% Bentonite, and 10% Poultry Manure. L95B substrate contains 95% Lehbab Sandy Soil, 5% Bentonite, and 15% Poultry Manure. L90A substrate contains 90% Lehbab Sandy Soil, 10% Bentonite, and 10% Poultry Manure. L90B substrate contains 90% Lehbab Sandy Soil, 10% Bentonite, and 15% Poultry Manure. Statistical letters a, b, c, d, show significant difference between plants attributes grown on different substrates, while the ab, bc, cd etc. show there is no significant difference between plants attributes.
Figure 2 in Conditioning of desert sandy soil and investigation of the ameliorative effects of poultry manure and bentonite treatment rate on plant growth
Figure 2. Comparison of Number of Secondary Branches per Plant and Number of Leaves per Plant for Bougainvillea grown in different substrates (Treatment L100, L95A, L95B, L90A, and L90B. L100 substrate contains 100% Lehbab Sandy Soil without any addition of Bentonite and Poultry Manure. L95A substrate contains 95% Lehbab Sandy Soil, 5% Bentonite, and 10% Poultry Manure. L95B substrate contains 95% Lehbab Sandy Soil, 5% Bentonite, and 15% Poultry Manure. L90A substrate contains 90% Lehbab Sandy Soil, 10% Bentonite, and 10% Poultry Manure. L90B substrate contains 90% Lehbab Sandy Soil, 10% Bentonite, and 15% Poultry Manure. Statistical letters a, b, c, d, show significant difference between plants attributes grown on different substrates, while the ab, bc, cd etc. show there is no significant difference between plants attributes.
Figure 1 in Conditioning of desert sandy soil and investigation of the ameliorative effects of poultry manure and bentonite treatment rate on plant growth
Figure 1. Comparison of Plant Height, Root Length, and Maximum Branch Length for Bougainvillea grown in different substrates (Treatment L100, L95A, L95B, L90A, and L90B. L100 substrate contains 100% Lehbab Sandy Soil without any addition of Bentonite and Poultry Manure. L95A substrate contains 95% Lehbab Sandy Soil, 5% Bentonite, and 10% Poultry Manure.L95B substrate contains 95% Lehbab Sandy Soil, 5% Bentonite, and 15% Poultry Manure.L90A substrate contains 90% Lehbab Sandy Soil, 10% Bentonite, and 10% Poultry Manure. L90B substrate contains 90% Lehbab Sandy Soil, 10% Bentonite, and 15% Poultry Manure. Statistical letters a, b, c, d, show significant difference between plants attributes grown on different substrates, while the ab, bc, cd etc. show there is no significant difference between plants attributes.
FIG. 2 in Caractérisation et extension de niveaux repères de bentonites dans le Turonien supérieur du Bassin de Paris (Boulonnais, Aube)
FIG. 2. — Lithostratigraphie, biostratigraphie, localisation des échantillons étudiés et corrélations proposées entre les coupes du Boulonnais et de l'Aube.
Swelling of MX-80 bentonite in a narrow tube
<p>This dataset consists of the results of 16 bentonite swelling experiments. The samples (<em>d</em> = 1.0 cm, <em>h</em> = 2.0 cm) were made by compacting MX-80 bentonite into vertical aluminum tubes. The bottom end of the samples was fixed while the top end was able to move. The experiments were started by pouring simulated groundwater (0.1 M NaCl) onto the samples. The swelling process of each sample was monitored four days using a developed X-ray imaging method. Eight different combinations of initial dry density (1.40–1.80 g/cm<sup>3</sup>) and water content (12–24%) values with two repetitions for each case were used in the experiments. The method yields the partial density profiles of bentonite and water, and the deformation of the samples in the axial direction as a function of time. The method was validated by slicing the samples at the end of the experiments and measuring the partial densities of bentonite and water in the slices by oven drying. In addition, a separate sedimentation test was performed to ensure that the added tracer particles, needed in the deformation measurement, follow the solid material also in the most dilute parts of the samples. The experimental setup in this study mimics a scenario where bentonite, planned to be used as a buffer material in a nuclear waste repository, swells into a rock fracture filled by groundwater. </p> <p>For more information see: </p> <p>Harjupatana, T., Miettinen, A., & Kataja, M. (2022). A method for measuring wetting and swelling of bentonite using X-ray imaging. <em>Applied Clay Science</em>, <em>221</em>, 106485. <a href="https://doi.org/10.1016/j.clay.2022.106485">https://doi.org/10.1016/j.clay.2022.106485</a></p>
Data base for Re(VII) diffusion in compated montmorillonite, Na-bentonite and illite/smectite mixed layer
<p>The diffusion behavior of Re(VII) in compacted montmorillonite, Na-bentonite and illite/smectite mixed layer was investigated by a through-diffusion method and a pore-scale modeling. Donnan and a multi-porosity modeling were employed to compare with the pore-scale modeling, which can capture the overlapped electrical double layer. This dataset contains a through-diffusion experimental data and simulations data, which is calculated byincluding a pore-scale modeling, Donnan theory and a multi-porosity modeling.</p>
Growth and persistence of an aerobic microbiome in Wyoming bentonite MX-80 despite anoxic in situ conditions
<p>This dataset contains all raw data used for the manuscript "Growth and persistence of an aerobic microbiome in Wyoming bentonite MX-80 despite anoxic <em>in situ</em> conditions"</p> <p>Raw data of enumeration via cultivation (colony forming units per gram dry Wyoming bentonite; most probable number per gram dry Wyoming bentonite), and raw sequences of 16S rRNA gene V4 region sequencing. The dataset also includes the 16S rRNA bioinformatics pipeline and the used 16S database to map the obtained sequences on as well as a metadata file in Excel and CSV format.<br> Figures 1, 2, 3, 4, 5, and 6 were created with the data and/or the scripts provided in the respective subfolders.</p>
FIG. 3. — Courbes d in Caractérisation et extension de niveaux repères de bentonites dans le Turonien supérieur du Bassin de Paris (Boulonnais, Aube)
FIG. 3. — Courbes d'analyses thermiques différentielles caractéristiques des échantillons étudiés.
Data and code to accompany the publication: Chemical and Pb isotope composition of phenocrysts from bentonites constrains the chronostratigraphy around the Cretaceous-Paleogene boundary in the Hell Creek region, Montana in G3
<p>EPMA data and analysis for Ikckert et al., 2015</p>
Raw data of XRD and geochemical composition for plots for the lagoonal to littoral K-bentonites
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LA-ICP-MS U-Pb and Lu-Hf data for Bighorn Basin bentonite zircon
<p>This table contains the U-Pb composition, calculated ages, and Lu-Hf composition for 697 individual zircon analyses from a suite of bentonite deposits collected from the Bighorn Basin, Wyoming, and southwestern South Dakota. All data was acquired using LA-ICP-Ms at the Laserchron Center at the University of Arizona.</p>
Microbial hydrogen sinks in the sand-bentonite backfill material for the deep geological disposal of radioactive waste
<p>This is the dataset used for the paper "Microbial hydrogen sinks in the sand-bentonite backfill material for the deep geological disposal of radioactive waste", submitted for publication in December 2023.</p> <p> </p>
Unveiling the diffusion of Re, Cr, and I in saturated compacted bentonite using machine learning method
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NATURAL BENTONITE BASED ADSORBENTS
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CHANGE OF PHYSICO-CHEMICAL AND ADSORPTION PROPERTIES OF ALUMINUM OXIDE DRYERS MODIFIED WITH POTASSIUM NATURAL BENTONITE BASED ADSORBENTS
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FIG. 1 in Caractérisation et extension de niveaux repères de bentonites dans le Turonien supérieur du Bassin de Paris (Boulonnais, Aube)
FIG. 1. — Localisation géographique des coupes étudiées.
Assessing the Clinical Efficacy of Bentonite Clay Gel on Bone Regeneration in the Treatment of Intra-bony Defects: A Clinico-radiograph Study
ClinicalTrials.gov study NCT06439264. IPD Sharing: NO. Countries: 1. Publications: 0.
qPCR raw data - Effect of pressure and temperature on survivability and proliferation of microorganisms in bentonite
<p>Quantitative PCR (qPCR) raw data includes numeric source data that corresponds to the figure 2 (pressure experiment) and figure 6 (temperature experiment) in the research article “Effect of pressure and temperature on survivability and proliferation of microorganisms in bentonite”. The data demonstrates the relative quantification calculation of microbial abundance in the pressurized (10, 12 and 15 MPa)/heated ( 60, 70, 80, 90°C) samples and their respective non-template controls (con) based on total microbial biomass detection using universal primers U16SRT-F (5′-ACTCCTACGGGAGGCAGCAGT-3′) and U16SRT-R (5′ ATTACCGCGGCTGCTGGC-3′) to target all bacteria encoding the V3 region of the 16S rRNA gene. The magnitude of the relative difference in microbial abundance was calculated using the ΔΔCq calculation method, using the formula RQ = PCR effectivity <sup>(-ΔCq)</sup>. The PCR effectivity of the marker used was estimated beforehand as the mean slope of the Cq curves constructed by serial dilution of DNA templates from five internal environmental standards. The resulting Cq values were normalized by the sample weight used for DNA extraction prior to calculation. Using the ΔΔCq calculation method, we then related the Cq value of each sample to the mean Cq value of zero-point samples for each treatment. Each sample was run in duplicate, with the resulting differences between duplicate Cq values always below 0.5 (values of 0.5 represent a maximum 1.5-fold change in relative quantity in the duplicate sample). Mean values of duplicate samples, together with their standard deviation, are shown for each sample type and sampling time for data visualization. The raw data also includes values for additional control samples and primer efficiency calculation.</p>
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