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39 results for “sorption”
Summer water chemistry; sediment phosphorus fluxes and sorption capacity; sedimentation and sediment resuspension dynamics; water column thermal structure; and zooplankton, macroinvertebrate, and macrophyte communities in eight shallow lakes in northwest Iowa, USA (2018-2020)
The primary aim of this data product is to characterize change in water chemistry, sediment-water interactions, and biological communities in shallow, eutrophic lakes undergoing a fishery biomanipulation. We studied eight glacial lakes located in northwest Iowa, USA, from 2018 to 2020 during the summer season (May to September). A subset of these lakes (n = 4; Center, Five Island, North Twin, and Silver Lakes) were part of a fishery biomanipulation in which the Iowa Department of Natural Resources (IDNR) incentivized commercial harvest of common carp (Cyprinus carpio) and bigmouth buffalo (Ictiobus cyprinellus). Harvests occurred in Center and Five Island Lakes during 2018-2019 and in North Twin and Silver Lakes during 2019-2020. Between 73 and 373 kg fish biomass per ha were removed each year. The other study lakes (n = 4; Blue, South Twin, Storm, and Swan Lakes) remained unmanipulated during the study period. Over the course of the biomanipulation, we quantified a suite of physical, chemical, and biological parameters across the study lakes. High frequency aquatic sensors were used to measure water column thermal structure, dissolved oxygen concentrations, and algal pigments. Manual water chemistry sampling further quantified suspended solids, total phosphorus and nitrogen, soluble reactive phosphorus, nitrate, and water clarity. We measured flux rates of phosphorus between bottom sediments and the overlying water using ex situ sediment core incubations under both oxic and anoxic conditions. We further quantified sediment phosphorus sorption capacity using equilibrium phosphorus concentration assays. Tiered sediment traps were used to measure sedimentation rates as well as sediment resuspension in bottom waters. We also measured change in zooplankton, macroinvertebrate, and macrophyte community composition and abundance. These data will be used to better understand the mechanisms of internal phosphorus loading in shallow lakes and the ecosystem effects of fisherie
N2-sorption and catalytic results of doped Cu-catalysts for glycerol hydrogenolysis
<p>This repository includes experimental data associated with the following publication: A. Bouriakova et al., "Dopant induced stabilization of alumina supported copper – impact on the catalytic performance in the hydrogenolysis of glycerol to 1,2-propanediol", submitted to Catalysis Communications in April 2020</p> <p> </p> <p>In this work, five catalysts supported on γ-Al<sub>2</sub>O<sub>3</sub> were studied, i.e. one bare Cu and four doped-Cu catalysts. The catalysts were prepared via sequential impregnation. The nominal dopant loading was 1wt%, for the Cu a nominal value of 10wt% was selected:</p> <p>- 10wt% Cu/-Al2O3, indicated as Cu</p> <p>- 1wt%Ba-10wt% Cu/-Al2O3, indicated as Ba-Cu<br> - 1wt%Ce-10wt% Cu/-Al2O3, indicated as Ce-Cu<br> - 1wt%Cs-10wt% Cu/-Al2O3, indicated as Cs-Cu<br> - 1wt%La-10wt% Cu/-Al2O3, indicated as La-Cu</p> <p> </p> <p>The catalysts were investigated for 68 h for continuous flow pure glycerol hydrogenolysis in a trickle bed regime at 473 K, 7.5 MPa, 135 kg<sub>cat </sub>s mol<sup>-1</sup><sub>glycerol </sub>and 7 mol<sub>H2</sub> mol<sup>-1</sup><sub>glycerol</sub>, and compared for glycerol conversion, 1,2-propanediol selectivity and stability.</p> <p>The data file contains the glycerol conversion and selectivities over time for the studied catalysts, in combination with N<sub>2</sub>-sorption data of those catalysts. In addition, an overview of literature data on glycerol hydrogenolysis is given (Fig 1 in the manuscript).</p>
Sorption of Colored vs Noncolored Organic Matter by Tidal Marsh Soils
<p>Supplemental Files for Biogeosciences article:<br>Sorption of Colored vs Noncolored Organic Matter by Tidal Marsh Soils<br>Patrick J Neale, J Patrick Megonigal, Maria Tzortziou, Elizabeth A Canuel, Christina R. Pondell, Hannah K. Morrissette</p> <p>Contents:</p> <p>Plots of measured DOC in incubation solutions vs absorption coefficient at 355 nm (a355), showing linear regression line and equation. Equation slope is the inverse of the specific absorbance of colored dissolved organic carbon (CDOC) and intercept is the background level of non-colored dissolved organic carbon (NCDOC). See table 1 of Neale et al. (2023) for listing of all slopes, intercepts and r2.</p> <p>Labels - KM - Kirkpatrick Marsh (GCREW)<br> JugBay - Jug Bay<br> Task - Taskinas Marsh<br> Wach - Wachapreague Marsh</p> <p>00, 10, 20, 35 - incubation salinities</p> <p>Pre - Pre-incubation - measurements on standard solutions at the start of the incubations<br>Post - Post-incubation - measurements on filtrate after the incubation</p> <p>V2 - Plots for Pre were updated. v1 plots were incorrect for Pre</p>
Data points for "Modelling sorption of hydrocarbons in polyethylene with the SAFT-γ Mie approach combined with a statistical-mechanical model to describe semi-crystalline polymers"
<p>A variety of thermodynamic calculations (VLE, sorption isotherms, etc.) performed with a combination of the SAFT-γ equation of state and a novel model to account for the constraints affecting the amorphous domains in semi-crystalline polyethylene (PE). Please refer to the original article (published in Macromolecules) for the bibliography and more details.</p>
Experimental raw data sets associated with certified reference material BAM-P116 (titanium dioxide) for comparison of nitrogen and argon sorption, available in the universal adsorption information format (AIF)
<p>These data sets serve as models for calculating the specific surface area (BET method) using gas sorption in accordance with ISO 9277.<br>The present measurements were carried out with nitrogen at 77 Kelvin and argon at 87 Kelvin.<br>It is recommended to use the following requirements for the molecular cross-sectional area:<br>Nitrogen: 0.1620 nm²<br>Argon: 0.1420 nm²</p> <p>Expected specific surface area for nitrogen (BET): 305 to 345 m²/g<br>Expected specific surface area for argon (BET): 300 to 310 m²/g</p> <p>Titanium dioxides certified with nitrogen sorption and additionally measured with argon for research purposes were used as sample material.<br>The resulting data sets are intended to serve as comparative data for own measurements and show the differences in sorption behaviour and evaluations between nitrogen and argon.<br>These data are stored in the universal AIF format (adsorption information format), which allows flexible use of the data.</p>
Digital research data from: Evaluation of a pH- and time-dependent model for the sorption of heavy metal cations by poultry litter-derived biochar
<p>This is digital research data corresponding to a published manuscript, Evaluation of a pH- and time-dependent model for the sorption of heavy metal cations by poultry litter-derived biochar. Chemosphere (2024), 347, 140688. https://doi.org/10.1016/j.chemosphere.2023.140688. </p> <p>Common isotherm and kinetic models cannot describe the pH-dependent sorption of heavy metal cations by biochar. In this paper, we evaluated a pH-dependent, equilibrium/kinetic model for describing the sorption of cadmium (Cd), copper (Cu), nickel (Ni), lead (Pb), and zinc (Zn) by poultry litter-derived biochar (PLB). We performed sorption experiments across a range of solution pH, initial metal concentration, and reaction time. </p>
dataset for Machine Learning Surrogates for Surface Complexation Model of Uranium Sorption to Oxides
<p>The data sets are used to train, validate, and test SCM surrogates for uranium sorption on oxide surfaces. </p> <p>train_norm.csv, val_norm.csv, and test_norm.csv are used to train, validate, and evaluate DNN-SCM surrogate. </p> <p>test_set1.csv and test_set2.csv are two additional datasets to evaluate the model's performance. </p>
Sorption of Colored vs Noncolored Organic Matter by Tidal Marsh Soils
<p>Raw Data for publication Sorption of Colored vs Noncolored Organic Matter by Tidal Marsh Soils<span> </span></p> <p><span> </span>Patrick J. Neale, J. Patrick Megonigal, Maria Tzortziou, Elizabeth A. Canuel, Christina R. Pondell, and Hannah Morrissette, Biogeosciences (in press)<span> </span></p> <p>https://doi.org/10.5194/egusphere-2023-2329<span> </span></p> <p>Correspondence:<span> </span>Patrick Neale (nealep@si.edu)<span> </span></p>
Dataset to "Sorption kinetics in metal hydrides by leaky coating"
<p>Rawdata to the figures in "Sorption kinetics in metal hydrides by leaky coating" published in the International Journal of Hydrogen Energy</p>
Data for "Water Sorption Controls Extreme Single-Crystal-to-Single Crystal Molecular Reorganization in Hydrogen Bonded Organic Frameworks"
<p>Paper DOI: <a href="https://doi.org/10.1002/chem.202201929">10.1002/chem.202201929</a></p> <p>Previously uploaded in 10.5281/zenodo.8432296 and <a href="https://github.com/andrewtarzia/citable_data" rel="noopener noreferrer">https://github.com/andrewtarzia/citable_data</a></p> <p>Each .out file is generated from zeo_runs_production.py, which includes the output from Zeo++ for the probe radius and sampling value in the file name.</p> <p>zeo_runs.py tests sampling values to check for convergence, those output files are not included here.</p> <p>Each python script includes the list of CIFs to run the analysis on. Only the CIFs shown in the manuscript are included here, as testing was done on a series to see the effect of symmetry, disorder and cell size.</p>
Water Vapor Sorption Properties of Illinois Shales under Dynamic Water Vapor Conditions: Experimentation and Modeling
<p>Data sets for the Publication 'Water Vapor Sorption Properties of Illinois Shales under Dynamic Water Vapor Conditions: Experimentation and Modeling' in Water Resources Research.</p>
Experimental raw data sets associated with certified reference material BAM-P115 (titanium dioxide) for comparison of nitrogen and argon sorption, available in the universal adsorption information format (AIF)
<p>These data sets serve as models for calculating the specific surface area (BET method) using gas sorption in accordance with ISO 9277.<br>The present measurements were carried out with nitrogen at 77 Kelvin and argon at 87 Kelvin.<br>It is recommended to use the following requirements for the molecular cross-sectional area:<br>Nitrogen: 0.1620 nm²<br>Argon: 0.1420 nm²</p> <p>Expected specific surface area for nitrogen (BET): 140 to 154 m²/g<br>Expected specific surface area for argon (BET): 129 to 135 m²/g</p> <p>Titanium dioxides certified with nitrogen sorption and additionally measured with argon for research purposes were used as sample material.<br>The resulting data sets are intended to serve as comparative data for own measurements and show the differences in sorption behaviour and evaluations between nitrogen and argon.<br>These data are stored in the universal AIF format (adsorption information format), which allows flexible use of the data.</p>
Experimental raw data sets associated with certified reference material BAM-P114 (titanium dioxide) for comparison of nitrogen and argon sorption, available in the universal adsorption information format (AIF)
<p>These data sets serve as models for calculating the specific surface area (BET method) using gas sorption in accordance with ISO 9277.<br>The present measurements were carried out with nitrogen at 77 Kelvin and argon at 87 Kelvin.<br>It is recommended to use the following requirements for the molecular cross-sectional area:<br>Nitrogen: 0.1620 nm²<br>Argon: 0.1420 nm²</p> <p>Expected specific surface area for nitrogen (BET): 24 to 25 m²/g<br>Expected specific surface area for argon (BET): 20 m²/g</p> <p>Titanium dioxides certified with nitrogen sorption and additionally measured with argon for research purposes were used as sample material.<br>The resulting data sets are intended to serve as comparative data for own measurements and show the differences in sorption behaviour and evaluations between nitrogen and argon.<br>These data are stored in the universal AIF format (adsorption information format), which allows flexible use of the data.</p>
Sorption strategies for recovering critical raw materials: Extracting trace elements from saltworks brines
<p><span>Rising population, industrialisation, and resource demand intensify resource limitations, particularly critical for European Union (EU) industries dependent on raw materials. Based on economic importance and supply risk, 32 Critical Raw Materials (CRMs) and two strategic raw materials were identified in 2023. With most CRMs sourced outside the EU, sea mining emerges as a promising secondary resource for CRMs extraction from seawater, although the harvest of Trace Elements (TEs) will require energy-intensive processes. Several EU-funded projects explore circular economy and resource recovery, considering sorption methods’ potential to extract TEs from brines. Commercial polymeric (IRC747, S940, MTX8010) and inorganic (SbTreat, SrTreat) sorbents, plus another synthesised inorganic one (CuHCF), were assessed for recovering TEs (cobalt, gallium, germanium, rubidium, strontium, caesium) from saltworks brines (bitterns). Polymeric sorbents, containing chelating functional groups, effectively targeted cobalt, gallium, and strontium, commercial inorganic sorbents favoured cobalt, gallium, germanium and strontium, and CuHCF targeted rubidium and caesium. Kinetic batch experiments demonstrated rapid element retention (≤30 min) by most sorbents. In dynamic column experiments, high sorption capacities were observed for cobalt and gallium with the polymeric sorbents, particularly for aminophosphonic sorbents (IRC747 and S940) (≥2.1 mg/g). SrTreat exhibited also a high sorption capacity of 7 mg/g for strontium, SbTreat achieved 20 mg/g for gallium and germanium and CuHCF retained rubidium (10 mg/g) and caesium (70 mg/g). Acidic desorption effectively recovered (>70 %) most of the elements from the sorbents, achieving concentration factors up to 708 for cobalt with IRC747 and S940, highlighting the potential valorisation of saltworks bitterns.</span></p>
Dataset for: Long-term soil warming decreases microbial phosphorus utilization by increasing abiotic phosphorus sorption and losses
<p><span>Phosphorus (P) is an essential and often limiting element that could play a crucial role in terrestrial ecosystem responses to climate warming. However, it has yet remained unclear how different P cycling processes are affected by warming. Here we investigated the response of soil P pools and P cycling processes in a mountain forest after 14 years of soil warming (+4°C). Long-term warming decreased soil total P pools, likely due to higher outputs of P from soils by increasing net plant P uptake and downward transportation of colloidal and particulate P. Warming increased the sorption strength to more recalcitrant soil P fractions (absorbed to iron oxyhydroxides and clays), thereby further reducing bioavailable P in soil solution. As a response, soil microbes enhanced the production of acid phosphatase, though this was not sufficient to avoid decreases of soil bioavailable P and microbial biomass P (and biotic phosphate immobilization). This study therefore highlights how long-term soil warming triggers changes in biotic and abiotic soil P pools and processes, which can potentially aggravate the P constraints of the trees and soil microbes and thereby negatively affect the C sequestration potential of these forests.</span></p>
Fourier-transformed infrared (FTIR) spectra of the paper "Untangling the role of biotic and abiotic ageing of various environmental plastics toward the sorption of metals"
<p>The dataset include Fourier-transformed infrared (FTIR) spectra of UV aged and biofouled environmental plastics, used for the publication "Untangling the role of biotic and abiotic ageing of various environmental plastics toward the sorption of metals" (the paper is available at the following link: <a href="https://doi.org/10.1016/j.scitotenv.2023.164807">https://doi.org/10.1016/j.scitotenv.2023.164807</a>).</p> <p>The dataset is organized as follows:</p> <p>-All samples contains metadata considering polymer type (polylactic acid (PLA), polypropylene (PP), and polyethylene (PE)), the type of ageing treatment (UV ageing, biofouling and UV ageing-biofouling), the amount of time (in hours) of treatment and the number of replicate sample analyzed.</p> <p>-for every sample the raw data (scaled for the maximum absorbance value) of the FT-IR spectrum is given.</p> <p>Further experimental details are listed in the manuscript text.</p>
Characterisation of moisture sorption of materials used in 3D printing
<p>Investigation of environmental effects on properties of polymers and 3D printed structures was performed. The research methodology of moisture sorption and swelling processes was developed and implemented. Full-scale experiments were performed on 12 materials. Degradation of filaments’ mechanical properties under moisture effect was evaluated. A complex analysis of the results was performed, and sorption characteristics of filaments were defined.</p>
Digital research data from: Magnesium activation affects the properties and phosphate sorption capacity of poultry litter biochar
<p>This is digital research data corresponding to a published manuscript, <em>Magnesium activation affects the properties and phosphate sorption capacity of poultry litter biochar</em>. Biochar 5:64. https://doi.org/10.1007/s42773-023-00263-5. </p> <p>Biochars with a high affinity for phosphorus (P) are promising soil amendments for reducing P in agricultural runoff. Poultry litter (PL) is an abundant biochar feedstock. However, PL-derived biochars are typically high in soluble P and therefore require chemical modification to become effective P sorbents. This study investigated the effect of magnesium (Mg) activation on extractable P (EP) and P sorption capacities of PL-derived biochars. Biochar was produced at 500–900 °C from PL activated with 0–1 M Mg. Three differentially aged PL feedstocks were evaluated (1-, 3–5-, and 7–9-year-old). </p>
Research data: Impact of Microalgal Biomass and Microplastics on the Sorption Behaviour of Pesticides in Soil
Open the record for dataset details and reuse information.
Digital research data from: Evaluation of a pH- and time-dependent model for the sorption of heavy metal cations by poultry litter-derived biochar
Open the record for dataset details and reuse information.
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