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51 results for “Physicochemical properties”
Soil nitrogen availability vs. acidification: effects on soil respiration, heterotrophic respiration, and soil physicochemical properties in mixed temperate forests in central New York, USA (2019-2022)
In 2011, an experimental nitrogen x pH manipulation study was initiated in mixed temperate forests in central New York, USA to disentangle the often-confounded roles of nitrogen (N) and soil pH in driving various ecosystem processes. This data package contains soil physicochemical properties (soil pH, resin available nitrogen), soil temperature, in situ soil respiration, and heterotrophic respiration measured from laboratory incubations of soils collected from experimental plots. Soil pH was measured both pre-treatment (2009-2010) and after 8 and 11 years of experimental treatment. All other properties were measured between 9 and 12 years after treatment initiation.
Integrated measurements of soil micro-invertebrate abundance and associated physicochemical properties from the McMurdo Dry Valleys, Antarctica (1993–2022)
This data package compiles three decades (1993–2022) of soil micro-invertebrate abundance data and associated physicochemical measurements collected as part of the McMurdo Dry Valleys Long Term Ecological Research (MCM LTER) project in Antarctica. Variables include soil micro-invertebrate counts and species richness, along with associated soil physicochemical properties, including gravimetric moisture content, pH, electrical conductivity, soil organic carbon, ammonium, and nitrate. Data originate from both long-term core monitoring efforts and targeted opportunistic sampling campaigns across multiple valleys, including Arena, Beacon, Pearse, Taylor, Victoria, and Wright Valleys. Sampling locations span a range of geomorphic and ecological settings, providing broad spatial and temporal coverage of soil conditions across the Dry Valleys ecosystem. Data were curated to represent the most comprehensive and spatially diverse records available while minimizing sampling bias across years and study types. These integrated measurements provide a valuable resource for understanding the drivers of soil micro-invertebrate abundance and habitat suitability and serve as a foundation for future analyses of long-term ecological change and species distribution modeling in polar desert soils.
Dataset for the article "Capping agent control over the physicochemical and antibacterial properties of ZnO nanoparticles".
<p>Dataset for the article "Capping agent control over the physicochemical and antibacterial properties of ZnO nanoparticles".</p> <p>David Rutherford1, Markéta Šlapal Bařinková1, Thaiskang Jamatia2, Pavol Šuly2, Martin Cvek2, Bohuslav Rezek1</p> <p><br>1 Faculty of Electrical Engineering, Czech Technical University in Prague, Technická 2, 16227 Prague, Czech Republic<br>2 Centre of Polymer systems, Tomas Bata University in Zlin, Trida T. Bati 5678, 760 01 Zlín, Czech Republic</p> <p><br>Dataset description:</p> <p>240909 UV-vis_capped_ZnO.xlsx UV-vis spectroscopy<br>220623 ZnO Zlin Zn ion.xlsx Zinc ion measurement<br>230511 dls_zeta_data.xlsx DLS & zeta potential measurement<br>230221 ZnO_Zlin_MIC_MASTER.xlsx Minimum inhibitory concentration</p>
Raw data for the submitted manuscript: Effects of microplastics on enchytraeid multigeneration reproduction and soil physicochemical properties
<p>Survival and reproduction data from multigenerational single species tests involving four types of plastic materials.</p> <p> </p>
Applicability of pea ingredients in baked products: links between formulation, reactivity potential and physicochemical properties
<p>This is the data used for the figures and supplementary information in the following publication:</p> <p>Krause, S., Asamoah, E.A., Huc-Mathis, D., Moulin, G., Jakobi, R., Rega, B. & Bonazzi, C. (2022). Applicability of pea ingredients in baked products: links between formulation, reactivity potential and physicochemical properties. Food Chemistry, 132653. DOI: <a href="https://doi.org/10.1016/j.foodchem.2022.132653">10.1016/j.foodchem.2022.132653</a>.</p> <p> </p> <p><strong>Abstract</strong></p> <p>This study aimed to evaluate the applicability of purified pea ingredients (starch and protein isolate) by assessing their potential to form volatile compounds during the different steps of sponge cake development compared to pea flour and wheat flour. While pea flour was highly susceptible to lipid oxidation during batter beating, the combination of purified pea starch and pea protein yielded significantly fewer oxidation markers with known green-beany off-odors. This was due more to the inactivation of lipoxygenase during flour fractionation than to differences in batter structure. However, fractionated ingredients were highly prone to participating in the Maillard reaction and caramelization during baking, leading to a more complex mixture of pyrazines, Strecker aldehydes and furanic compounds with potential malty and roasted notes compared to cakes based on pea flour or wheat flour. These findings confirm that using purified pea fractions can create high-quality products with an attractive composition.</p>
Data from: Impact of agricultural weathering on physicochemical properties of biodegradable plastic mulch films: comparison of two diverse climates over four successive years
<p><span><span><span>Biodegradable plastic mulch films (BDMs) are essential in </span><span><span>the</span></span><span> production of vegetable and specialty crops due to their promotion of increased crop yield and quality. Unlike conventional polyethylene (PE) mulches, BDMs can be tilled into the soil after crop harvest to undergo biodegradation, thereby leading to minimal environmental impact. Agricultural weathering impacts both the performance of BDMs during crop production as a barrier to weeds and biodegradability of BDMs in the soil. To better understand the relative importance of climatic factors, the change of physicochemical properties of BDMs during single-season, 3-4 month, field trials for vegetable production at two diverse climates (Knoxville, TN and Mount Vernon, WA) across four successive years (2015-2018) was evaluated. Mulch treatments consisted of four commercially available BDMs composed primarily of polybutylene co-adipate- co-terephthalate (PBAT) that differed in color and polymeric feedstock</span><span><span>, a</span></span><span> black experimental BDM prepared from polylactic acid/polyhydroxybutyrate (PLA/PHA) blend, and conventional PE mulch. </span></span></span></p> <p><span><span><span>Mulch deterioration did not vary extensively between </span><span><span>years. </span></span><span><span>Solar</span></span><span> radiation, an important factor to degradation of mulches, was higher in WA than TN in most sampling years. Yet, degradation occurred </span><span><span>more greatly for</span></span><span> BDMs in TN</span><span><span>,</span></span><span> which </span><span><span>is attributable</span></span><span> to higher temperatures in TN. </span><span><span>Loss of</span></span><span> mechanical properties and color </span><span><span>was greater</span></span><span> than chemical </span><span><span>property changes.</span></span><span> </span><span><span>Differences in the extent of molecular weight decrease</span></span><span> between years correlated significantly with solar radiation </span><span><span>exposure at the two locations.</span></span><span> A black-colored PBAT-based BDM was less susceptible to degradation than equivalent clear and white-on-black films, due to carbon black acting as a photostabilizer. The impact of weathering also differed between </span><span><span>three commercially available PBAT-based films.</span></span><span> The PLA/PHA mulch was more susceptible to degradation than PBAT-based BDMs, particularly in the warmer location, TN, partially due to a leaching out of PHA and lower-molecular weight polymer molecules. The extent of change for physicochemical properties </span><span><span>of</span></span><span> BDMs due to agricultural weathering is greatly affected by polymeric composition, </span><span><span>and is greater in warmer climates.</span></span></span></span></p>
Data from: Effect of storage condition on the physicochemical properties of corn-wheat starch / zein edible bilayer films
<p>The functional properties of biopolymer-based film packaging materials are susceptible to external storage conditions. The effects of different storage temperature, relative humidity (RH) and duration on the apparent form, barrier properties, mechanical properties and microstructure of corn-wheat starch/zein bilayer films were studied. From 0 to 150 d, storage temperature and RH, but not storage time, affected the appearance and colour of the bilayer films. The increase in haze of the bilayer films stored at 25°C was much greater than that at low temperatures. With increased storage time, the moisture content first increased and then decreased, while the water resistance and oxygen barrier properties of the bilayer films worsened. After 150 d, the bilayer film stored at 25°C with 54% RH had better water resistance properties. The oxygen barrier properties of the bilayer film stored at 25°C with 43% RH were preferable to those of other groups because the peroxide value of vegetable oil packed in the former bilayer film was the lowest. The tensile strength of bilayer films stored at 25°C with RH of 43%, 54%, and 65% decreased, but were still better than those stored at low temperatures (-17°C, 4°C), which were tough due to their high elongation at break. SEM results showed tight bonds between the bilayer films, and the network structure inside the films disappeared and reappeared during storage. The cross-sectional compactness changed, and there was no film separation after 150 d.</p>
Deliverable D2.1 - Supplementary material : Datasets on the physicochemical properties of PFAS compounds
<p>Additional information on deliverable D2.1. Data sets for Machine Learning models on physicochemical properties of PFAS compounds for endpoints: logP (n-octanol/water), Sw (solubility in water), VP (vapor pressure), BCF (bioconcentration factor), MP (melting point) developped within the project H2020 PROMISCES. </p>
Database of physicochemical and optical properties of black carbon fractal aggregates
<p>In order to estimate the climate impact of highly absorbing black carbon (BC) aerosols, it is necessary to know their optical properties. The Lorentz-Mie theory, often used to calculate the optical properties of BC under the spherical morphological assumption, produces discrepancies when compared to measurements. In light of this, researchers are currently investigating the possibility of computing the optical properties of BC using a realistic fractal aggregate morphology. To determine the optical properties of such BC fractal aggregates, the Multiple Sphere T-Matrix method (MSTM) is used, which can take more than 24 hours for a single simulation depending on the aggregate properties. This study provides a highly accurate benchmark machine-learning algorithm that can be used to generate the optical properties of BC fractal aggregate in a fraction of a second. The machine learning algorithm was trained over an extensive database of physicochemical and optical properties of BC fractal aggregates. The extensive training data helped develop an ML algorithm that can accurately predict the optical properties of BC fractal aggregates with an average deviation of less than one percent from their actual values. Specifically, the ML algorithm provides the option to generate the optical properties in the visible spectrum using either kernel ridge regression (KRR) or artificial neural networks (ANN) for a BC fractal aggregate of desired physicochemical properties like size, morphology, and organic coating. The dataset of physicochemical and optical properties of BC fractal aggregates are provided here. The developed ML algorithm for predicting the optical properties of BC fractal aggregates (https://github.com/jaikrishnap/Machine-learning-for-prediction-of-BCFAs) is highly useful for real-world applications due to its wide parameter range, high accuracy, and low computational cost.</p> <p><strong>Contents</strong></p> <ul> <li>database_optical_properties_black_carbon_fractal_aggregtates.csv, data file, comma-separated values</li> <li>database_header.txt, metadata, text</li> </ul> <p><strong>Citation for the database: </strong></p> <p>B., Romshoo, T., Müller, B., Patil, J., Michels, T., Kloft, M., and Pöhlker, M.: Database of physicochemical and optical properties of black<br> carbon fractal aggregates, Dataset, https://doi.org/10.5281/zenodo.7523058, 2023.</p>
Soil water retention curves and soil physicochemical properties
<p class="MsoPlainText"><span>To identify the contribution of soil organic and inorganic fractions to soil water retention, we compiled the data of soil water retention curves and soil physicochemical properties. Data includes site information (Table 1), soil pH, soil C, cation exchange capacity (CEC), exchangeable basic cations, particle size distribution, soil texture class, contents of short-range-order minerals (Table 2), and soil water retention at different pressures, saturated hydraulic conductivity, and termite nest percent in soil profile (Table 3).</span></p>
Data from: Impact of agricultural weathering on physicochemical properties of biodegradable plastic mulch films: comparison of two diverse climates over four successive years
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Carcass decay inhibits denitrification indirectly by regulating the microbiota and physicochemical properties in a model water system
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Soil water retention curves and soil physicochemical properties
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Data from: Effect of storage condition on the physicochemical properties of corn-wheat starch / zein edible bilayer films
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The compiled dataset on the physicochemical properties of snow used for evaluation
<p>This repository contains scirpts and files used to generate the results of the study titled "Simulations of Snow Physicochemical Properties in Northern China using WRF-Chem" from Xia Wang, Lei Geng and Chun Zhao. All the original simulation and observation data used by Xia Wang to evaluate the physical and chemical properties of snow. This comprehensive dataset includes detailed information on various snow characteristics, such as snow cover, snow depth, and the presence of black carbon (BC), dust, and nitrates.<span> </span></p>
Experimental Data - Physicochemical Properties of 20 Ionic Liquids Prepared by the Carbonate-Based IL (CBILS) Process
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Dataset for "Physicochemical properties and bioreactivity of sub-10 µm geogenic particles: comparison of volcanic ash and desert dust" published in GeoHealth
<p>Data Repository for:</p> <h2><strong>Physicochemical properties and bioreactivity of sub-10 µm geogenic particles: comparison of volcanic ash and desert dust</strong></h2> <p>Ines Tomašek<sup>1,2,3*</sup>, Julia Eychenne<sup>1,2</sup>, David E. Damby<sup>4</sup>, Adrian Hornby<sup>5,6</sup>, Manolis N. Romanias<sup>7</sup>, Severine Moune<sup>1</sup>, Gaëlle Uzu<sup>8</sup>, Federica Schiavi<sup>1</sup>, Maeva Dole<sup>1</sup>, Emmanuel Gardès<sup>1</sup>, Mickael Laumonier<sup>1</sup>, Clara Gorce<sup>1</sup>, Régine Minet-Quinard<sup>2,9</sup>, Julie Durif<sup>9</sup>, Corinne Belville<sup>2</sup>, Ousmane Traoré<sup>10,11</sup>, Loïc Blanchon<sup>2</sup><sup>†</sup>, Vincent Sapin<sup>2,9</sup><sup>†</sup></p> <p><sup>1</sup>Laboratoire Magmas et Volcans (LMV), CNRS, IRD, OPGC, Université Clermont Auvergne, France.</p> <p><sup>2</sup>Institute of Genetic Reproduction and Development (iGReD), Translational Approach to Epithelial Injury and Repair Team, CNRS, INSERM, Université Clermont Auvergne, France.</p> <p><sup>3</sup>Istituto Nazionale di Geofisica e Vulcanologia (INGV), Osservatorio Etneo, Catania, Italy.</p> <p><sup>4</sup>Volcano Science Center, U.S. Geological Survey (USGS), USA.</p> <p><sup>5</sup>Department of Earth and Atmospheric Sciences, Cornell University, USA.</p> <p><sup>6</sup>Department of Cellular and Molecular Biology, School of Medicine, University of Texas at Tyler, USA.</p> <p><sup>7</sup>Institut Mines-Télécom (IMT) Nord Europe, Centre for Energy and Environment, Université Lille, France.</p> <p><sup>8</sup>Université Grenoble Alpes, IRD, CNRS, INRAE, INP-G, IGE (UMR 5001), France.</p> <p><sup>9</sup>Centre Hospitalier Universitaire (CHU) Clermont-Ferrand, Biochemistry and Molecular Genetics Department, France.</p> <p><sup>10</sup>Centre Hospitalier Universitaire (CHU) Clermont-Ferrand, Infection Control Department, France.</p> <p><sup>11</sup>Laboratoire Microorganismes: Génome Environnement (LMGE), UMR, CNRS, Université Clermont Auvergne, France.</p> <p><sup>†</sup>These authors share the last authorship.</p> <p><sup>*</sup>Correspondence.</p>
Physicochemical properties (viscosity, electrical conductivity) of betaine based deep eutectic solvents
<p>New deep eutectic solvents (DES) based on betaine as a hydrogen bond acceptor and urea, lactic acid, glycerol, 1,2-propanediol, and xylitol as hydrogen bond donors have been prepared. Viscosity and electrical conductivity were investigated. </p>
Soil physicochemical properties in Chushandian reservoir
<p><span>The impoundment of dams can significantly alter shorelines, hydrological regimes, sediment settling, and the soil nutrient cycle. With the completion of the Chushandian Reservoir Dam, land-use types around the reservoir have been profoundly affected by inundation. As yet, the changes due to inundation in soil properties for different land-use types have not been fully explored. We investigated the variation of soil physicochemical properties of different land-use types (abandoned cropland, grassland, and woodland) near the Chushandian Reservoir at several distances after short-term inundation and found that </span><span>soil pH varied in the range of 5-6.5. The soil texture of abandoned cropland and grassland was dominated by silt particles, but the soil texture of woodland was dominated by sand particles. The ranges of variation in soil TC and TN for different land-use types were 5.26-33.91 and 0.59-2.68 g/kg, respectively. Woodland soil was characterized by low NH<sub>4</sub>-N and high NO<sub>3</sub>-N,</span><span> which may be related to denitrification. In addition, </span><span>we observed that inundation affected the soil nutrient status of the different land-use types in the riparian zone in the short-term after reservoir impoundment, especially in abandoned cropland and grassland.</span><span> However, </span><span>woodland showed better tolerance to inundation. Furthermore, there are two different mechanisms of soil properties in response to inundation at the distance scales for the woodland land-use type. Soil properties are dominated by microbial activity in the far-away region and by chemical properties in the near-water region. By contrast, the soil properties in abandoned cropland and grassland are dominated by physical properties. Finally, we found that microbial biomass may be an essential indicator that can characterize the ability of riparian zone soil to respond to inundation.</span></p>
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>
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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.