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481 results for “freezing”
Field investigations of salt partitioning and aqueous chemistry of freezing closed-basin lakes in Mongolia as terrestrial analogs of subsurface brine reservoirs on icy bodies [Data set]
<p>All measurement and calculation data</p> <p>Measurement and calculation data in Version 4 were uploaded in 2021-11-2</p>
Dataset for: Phosphorus mobilization from intact soil monoliths flooded under simulated summer versus spring snowmelt with intermittent freeze-thaw conditions
<p>Enhanced phosphorus (P) release from flooded, anaerobic soils have been extensively studied under summer temperatures, but not under cold temperatures with intermittent freeze-thaw events. We investigated the temperature and freeze/ thaw effects during flooding on the release of P to floodwater from soil monoliths (15-cm depth) collected from eight agricultural fields in Manitoba. Soil monoliths were flooded with reverse osmosis water and incubated for 56 d under simulated summer flooding (SSF, 22±1 ℃), or snowmelt flooding with intermittent freeze thaw (IFT, 4±1 ℃ with intermittent freezing) in triplicates. Redox potential (Eh), pore water and floodwater dissolved reactive P (DRP) concentrations, pH and concentrations of Ca, Mg, Fe and Mn were determined weekly. In seven soils, Eh decreased rapidly with days after flooding (DAF) under SSF to values < 200 mV, but not under IFT. Pore water and floodwater DRP concentrations significantly increased with DAF in all soils under SSF, and in seven soils under IFT. While DRP concentrations were consistently greater under SSF than IFT in four soils, other soils had similar concentrations at certain DAFs. Significant relationships between ion concentrations and redox status , that fitted both IFT and SSF data in most soils, suggests that similar redox-driven mechanisms are responsible for the P release; however, less P is released under IFT than SSF, since soils were not severely reduced under IFT. Substantial P release in a few soils under IFT, appeared to be unrelated to redox status, suggesting other P release mechanisms that are not redox driven.</p>
Transient Freeze-Thaw Responses to the 2018 and 2019 Fires near Batagaika Megaslump, Northeast Siberia
<p>This repository contains the dataset for the Transient Freeze-Thaw Responses to the 2018 and 2019 Fires near Batagaika Megaslump, Northeast Siberia. All files are formatted as CSV. </p> <p>TD_Burn14_site1.csv contains thaw depth data at the site1 in the 2014 fire scar. </p> <p>TD_Burn14_site2.csv contains thaw depth data at the site2 in the 2014 fire scar.</p> <p>TD_Burn18.csv contains thaw depth data in the 2018 fire scar.</p> <p>TD_Unburn-Burn19.csv contains thaw depth data along the transect across the 2019 fire scar and unburned control site.</p> <p>TD_Unburn18.csv contains thaw depth data in the unburned control site for the 2018 fire scar.</p> <p>Temperature_TidbiT_190924-210916.csv contains hourly air and surface temperature data from 24 September 2019 to 16 September 2016. All data were taken by the TidbiT logger. </p> <p> </p> <p> </p>
Data and code availibility for the paper "Ice-nucleating agents in sea spray aerosol identified and quantified with a holistic multi-modal freezing model" by Alpert et al.
<p>The data and codes used in the paper "Ice-nucleating agents in sea spray aerosol identified and quantified with a holistic multi-modal freezing model" by Alpert et al., published in <em>Science Advances</em> are included in this collection. Detailed descriptions of the files are given in the readme file.</p>
Spatial and temporal variability of freezing level in Patagonia's atmosphere
<p>Deprecated version. Please review the latest version: <a href="../doi/10.5281/zenodo.11397841">10.5281/zenodo.11397841 </a></p>
Impact of Freeze-thaw Cycles on Coatings Applied to the Surface of Alkali-activated Materials
<p><span>This paper focuses on the possibility of applying selected types of coatings (synthetic and epoxy) on the surface of alkali-activated materials based on finely ground granulated blast furnace slag with an admixture of cement by-pass dust and silica fly ash. Admixtures represent 30% of the binder component (15% fly ash, 15% cement by-pass dust). The mixture is activated with anhydrous disodium metasilicate. The samples were categorized into two series samples stored in water and samples wrapped in foil. Following this, the surface of these two series was modified by two methods, namely brushing with a steel brush and roughening with a diamond wheel. The properties related to the adhesion of the coating to the surface were mainly investigated before and after 100 freeze-thaw cycles. The cross-cut method and pull-off test for adhesion determined the adhesion. The cross-cut test found that the synthetic coating was less susceptible to surface modification than the epoxy coating. The samples were exposed to 100 freeze-thaw cycles. Then, the cross-cut method was applied to the coated roughened surface and the results of this test were classified into category 3. During the determination of the adhesion of the coatings by the pull-off test on the roughened surface for both methods of sample storage, the character of breakage for the synthetic coating was of the cohesive type, thus it was the tensile strength of the materials, while for the epoxy coating, it was the adhesive breakage, thus it was the adhesion between the surface and the coating.</span></p>
Probing conversion-driven freeze-out at the LHC - Code and Data
<p>The file LLP-CDFO-main.zip contains all the code and processed data for reproducing the results in the <a href="https://arxiv.org/abs/2404.16086">Probing conversion-driven freeze-out at the LHC</a> paper.</p> <p>The raw data is provided as a separate tarball.</p> <p>Additional instructions can be found in the README file contained in LLP-CDFO.zip or in the <a href="https://github.com/andlessa/LLP-CDFO">GitHub repository</a>.</p> <p> </p>
Temperature-Dependent Development and Freezing Survival of Protostrongylid Nematodes of Arctic Ungulates: Implications for Transmission
<p>Data used to derive the conclusion of the work. Spreadsheets contain raw data.</p>
Freezing point of water, water content and proportion of freezing water in Heracleum sosnowskyi plants
<p><strong>Method plant tissue of analysis using differential scanning calorimetry (DSC)</strong></p> <p>Differential scanning calorimetry was used to assess the risk of tissue plant damage by low negative temperatures. We measured the freezing point of water, the water content and the proportion of freezing water in plant samples using the DSC – 60 Shimadzu calorimeter (Japan). The samples were buds and seeds of <em>Heracleum sosnowskyi</em> (hogweed) plants. The samples were placed in an aluminum pan with a volume of 0.1 cm<sup>3</sup>. The sample was cooled at a rate of 1 °C/min from +5 °C to -30 °C. The water crystallization temperature was determined at the beginning of the phase transition peak. After measurements, the material was dried at 105 °C to a constant dry mass.</p> <p>The following calculations were applied:</p> <ol> <li>A – DSC data (water crystallization temperature, ºC);</li> <li>B – wet weight sample (mg);</li> <li>C – dry weight sample (mg);</li> <li>D = B-C – (water content in sample, mg);</li> <li>E – DSC data (heat from water freezing, mJ);</li> <li>F= E× 335 – (frozen water in sample, mg);</li> <li>335 –The heat of frozen for wateris approximately (mJ/mg);</li> <li>G = D-F – (non-freezing water, mg);</li> <li>H = (100%/D) × F – (frozen water in sample, %);</li> <li>I = (D/B) ×100 – (water content in sample, %);</li> <li>J= D/C (mg H<sub>2</sub>O/mg dry weight sample).</li> </ol> <p> The results of the analysis are presented in the file «The_results_DSC_analysis_of_buds_seeds.xls».</p> <p>Measurements were carried out in September 2018. The samples were buds and seeds of <em>Heracleum sosnowskyi</em> (hogweed) plants. Geographical coordinates vegetation plants 61.645333, 50.733196.</p>
Freezing point of water, water content and proportion of freezing water in Heracleum sosnowskyi seedlings with radicles
<p><strong>Method plant tissue of analysis using differential scanning calorimetry (DSC)</strong></p> <p>Differential scanning calorimetry was used to assess the risk of tissue plant damage by low negative temperatures. We measured the freezing point of water, the water content and the proportion of freezing water in plant samples using the DSC – 60 Shimadzu calorimeter (Japan). The samples were seedlings with radicles of <em>Heracleum sosnowskyi</em> (hogweed) plants from under snow. The samples were placed in an aluminum pan with a volume of 0.1 cm<sup>3</sup>. The sample was cooled at a rate of 1 °C/min from +5 °C to -30 °C. The water crystallization temperature was determined at the beginning of the phase transition peak. After measurements, the material was dried at 105 °C to a constant dry mass.</p> <p>The following calculations were applied:</p> <ol> <li>A – DSC data (water crystallization temperature, ºC);</li> <li>B – wet weight sample (mg);</li> <li>C – dry weight sample (mg);</li> <li>D = B-C – (water content in sample, mg);</li> <li>E – DSC data (heat from water freezing, mJ);</li> <li>F= E× 335 – (frozen water in sample, mg);</li> <li>335 –The heat of frozen for water is approximately (mJ/mg);</li> <li>G = D-F – (non-freezing water, mg);</li> <li>H = (100%/D) × F – (frozen water in sample, %);</li> <li>I = (D/B) ×100 – (water content in sample, %);</li> <li>J= D/C (mg H<sub>2</sub>O/mg dry weight sample).</li> </ol> <p> </p> <p>The results of the analysis are presented in the file «The_results_DSC_analysis_of_seedlings_Heracl_sosn_2017.xls».</p> <p>Measurements were carried out in March 2017. The samples were seedlings with radicles of <em>Heracleum sosnowskyi</em> (hogweed) plants from under snow. Geographical coordinates vegetation plants 61.645333, 50.733196.</p>
FTIR-ATR Spectra of Pelagic Sargassum Specimens under Different Flash-Freeze Timing and Cryogenic Storage Conditions
<p><strong>About the data set origin</strong></p> <p>The dataset comprises ATR-FTIR spectral CSV files of pelagic <em>Sargassum</em> specimens, including <em>S. fluitans</em> III (labeled "flu3" in the sample ID), <em>S. natans</em> I (labeled "nat1"), and <em>S. natans</em> VII (labeled "nat8"). The specimens were collected from three sites on the south Mexican Caribbean coast: Mahahual (labeled "Ma"), Xcalak (labeled "Xk"), and Xahuayxol (labeled "Xa"). The experimental design includes a treatment condition based on the timing of flash-freezing: the fresh group (labeled d00) and the lab group (labeled d01). The fresh group was flash-frozen on the shore and stored under cryogenic conditions, while the lab samples were flash-frozen upon arrival at the laboratory facilities. The sample IDs are listed in <strong>Table 1</strong>.</p> <p><strong>About the Equipment and Data Acquisition</strong></p> <p>All ATR-FTIR analyses were conducted using a Nicolet iS5 from Thermo Scientific (USA), equipped with an iD7 accessory and a ZnSe crystal plate. The Thermo Scientific OMNIC software was used for the analysis. Background noise was removed from all spectra. The spectral acquisition range spanned from 500 to 4000 cm⁻¹, with 32 scans per sample and a spectral resolution of 4 cm⁻¹, resulting in a data spacing of 0.482 cm⁻¹. Each sample was analyzed in triplicate.</p> <p><strong>Table 1</strong>. Sample ID and size for the flash-freeze comparison dataset</p> <table> <tbody> <tr> <td> <p><strong>Site</strong></p> </td> <td> <p><strong>Morphotype</strong></p> </td> <td> <p><strong>Flash-freeze treatment</strong></p> </td> <td> <p><strong>Samples collected</strong></p> </td> <td> <p><strong>Samples read in triplicate</strong></p> </td> </tr> <tr> <td>Mahahual (Ma)</td> <td><em>S. fluitans</em> III (flu3)</td> <td>Fresh (d00)</td> <td>2</td> <td>6</td> </tr> <tr> <td> </td> <td><em> </em></td> <td>Lab (d01)</td> <td>2</td> <td>6</td> </tr> <tr> <td> </td> <td><em>S. natans</em> I (nat1)</td> <td>Fresh (d00)</td> <td>2</td> <td>6</td> </tr> <tr> <td> </td> <td> </td> <td>Lab (d01)</td> <td>2</td> <td>6</td> </tr> <tr> <td> </td> <td><em>S. natans</em> VIII (nat8)</td> <td>Fresh (d00)</td> <td>2</td> <td>6</td> </tr> <tr> <td> </td> <td> </td> <td>Lab (d01)</td> <td>2</td> <td>6</td> </tr> <tr> <td>Xahuayxol (Xa)</td> <td><em>S. fluitans</em> III (flu3)</td> <td>Fresh (d00)</td> <td>1</td> <td>3</td> </tr> <tr> <td> </td> <td><em> </em></td> <td>Lab (d01)</td> <td>2</td> <td>6</td> </tr> <tr> <td> </td> <td><em>S. natans</em> I (nat1)</td> <td>Fresh (d00)</td> <td>1</td> <td>3</td> </tr> <tr> <td> </td> <td> </td> <td>Lab (d01)</td> <td>2</td> <td>6</td> </tr> <tr> <td> </td> <td><em>S. natans</em> VIII (nat8)</td> <td>Fresh (d00)</td> <td>1</td> <td>3</td> </tr> <tr> <td> </td> <td> </td> <td>Lab (d01)</td> <td>2</td> <td>6</td> </tr> <tr> <td>Xcalak (Xk)</td> <td><em>S. fluitans</em> III (flu3)</td> <td>Fresh (d00)</td> <td>1</td> <td>3</td> </tr> <tr> <td> </td> <td> </td> <td>Lab (d01)</td> <td>2</td> <td>6</td> </tr> <tr> <td> </td> <td><em>S. natans</em> I (nat1)</td> <td>Fresh (d00)</td> <td>1</td> <td>3</td> </tr> <tr> <td> </td> <td> </td> <td>Lab (d01)</td> <td>2</td> <td>6</td> </tr> <tr> <td> </td> <td><em>S. natans</em> VIII (nat8)</td> <td>Fresh (d00)</td> <td>1</td> <td>3</td> </tr> <tr> <td> </td> <td> </td> <td>Lab (d01)</td> <td>2</td> <td>6</td> </tr> <tr> <td> </td> <td> </td> <td><strong>Total </strong></td> <td><strong>30</strong></td> <td><strong>90</strong></td> </tr> </tbody> </table>
Data for "Transient nicotine exposure in early adolescent male mice freezes their dopamine circuits in an immature state"
<p>This repository contains data for the analysis used in the following paper: Reynolds et al. "Transient nicotine exposure in early adolescent male mice freezes their dopamine circuits in an immature state", published on BioRxiv (https://www.biorxiv.org/content/10.1101/2023.10.28.564518v1). Information about using the data files is in the "readme.rtf" file. </p>
Accurate photon echo timing by optical freezing of exciton dephasing and rephasing in quantum dots
<p>Dataset of the publication “Accurate photon echo timing by optical freezing of exciton dephasing and rephasing in quantum dots“, ( <a href="https://doi.org/10.1038/s42005-020-00491-2">https://doi.org/10.1038/s42005-020-00491-2</a> ). The zip file includes the data on which the plots shown in figures 2-5 of the main text, and supplementary figures S1-S5 are based.</p>
Controlling the emission time of photon echoes by optical freezing of exciton dephasing and rephasing in quantum-dot ensembles
<p>Dataset of the publication “Controlling the emission time of photon echoes by optical freezing of exciton dephasing and rephasing in quantum-dot ensembles“, <a href="https://www.spiedigitallibrary.org/conference-proceedings-of-spie/11684/2576887/Controlling-the-emission-time-of-photon-echoes-by-optical-freezing/10.1117/12.2576887.short?SSO=1">Proc. SPIE 11684,116840X (2021)</a> ( <a href="https://doi.org/10.1117/12.2576887">https://doi.org/10.1117/12.2576887</a> ). The zip file includes the data on which the figures are based, the gnuplot files for the figures, and an explaining readme.txt.</p>
Data set for the article "One-time freeze-thawing or carbon input events have long-term legacies in soil microbial communities"
<p>The following are data and code used for statistical analysis and figure plotting in the manuscript</p> <p>Gorka et al. (2023) "One-time freeze-thawing or carbon input events have long-term legacies in soil microbial communities", Geoderma, <a href="https://doi.org/10.1016/j.geoderma.2023.116399">https://doi.org/10.1016/j.geoderma.2023.116399</a></p> <p>It contains the following files:</p> <ol> <li>Microbial PLFA and NLFA analysis files (contained in <em>Fatty_acid_analysis.zip</em>) <ul> <li>PLFA and NLFA abundance data, in nmol C g<sup>-1</sup> dw (in <em>fatty_acid_data.csv</em>)</li> <li>Taxonomic specificities of fatty acids, needed for R-script to run (in <em>phylum.csv</em>)</li> <li>An R Script reproducing the statistical analysis, figure plotting and output for tables, as used in the manuscript (<em>Fatty_acid_analysis.R</em>)</li> </ul> </li> <li>Soil C and N stoichiometry analysis files (contained in <em>TOC_TN_analysis.zip</em>) <ul> <li>Dissolved organic C (DOC), total dissolved N (TN), and C and N in microbial biomass (Cmic, Nmic) abundance data, in mg g<sup>-1</sup> dw (in <em>toc_tn_data.csv</em>)</li> <li>An R Script reproducing the statistical analysis, figure plotting and output for tables, as used in the manuscript (<em>TOC_TN_analysis.R</em>)</li> </ul> </li> </ol>
Dataset for the Figure 2 in manuscript "Numerical study of coupled water and vapour flow, heat transfer, and solute transport in variably-saturated deformable soil during freeze-thaw cycles"
<p>This dataset includes the gathered experimental measurements of a freezing test by Wu (2017) for the model's verification shown in Figure 2 of the manuscript entitled 'Numerical study of coupled water and vapour flow, heat transfer, and solute transport in variably-saturated deformable soil during freeze-thaw cycles'' by Huang, X., and Rudolph, D.L.</p>
Simulation of the Moving Boundary during Freezing of a One-Dimensional Food Slab
<p>To calculate the moving boundary (MB) of a finite 1D moist food slab, which is cooled by convection at the exposed surface, a finite difference model was employed, invoking the Stefan condition. The primary objective of this project was to generate synthetic data comprising MB position-time pairs. The MB time profiles were generated using a nearly orthogonal array, which accounts for the effects of the Biot number, dimensionless cooling-medium temperature, dimensionless latent heat, and thermal conductivity parameter. The last two parameters play a crucial role in controlling the temperature dependence of the effective heat capacity and thermal conductivity of the food material. The generated data will be utilized to develop statistical models of the MB, effectively accounting for the influence of temperature-dependent thermal properties</p>
Data of "High-speed cryo-microscopy proves that ice-nucleating proteins of Pseudomonas syringae trigger freezing at hydrophobic interfaces"
<p>Raw data of a study titled <strong><em>"High-speed cryo-microscopy proves that ice-nucleating proteins of Pseudomonas syringae trigger freezing at hydrophobic interfaces"</em></strong>.</p> <p>The <strong>onset_locations.zip</strong> folder contains all analyzed images which are screenshots from the cryo-microscopic videos. Raw screenshots and evaluated images are included in two sub-folders per samples. The sample description is the name of the folders.</p> <p>The <strong>ice_propogation_velocity.zip</strong> folder contains all images that were used for the evaluation of the propagation velocity of ice. Every sample folder contains the original spot detection image, one image at a later time point, the subtracted image, and one image with the measured distance of the ice front indicated as white scale bar.</p> <p>The <strong>Results_(ice_propagation_velocity).xlsx</strong> contains the results from the velocity calculations, the <strong>Results_(surface tension).xlsx</strong> contains the evaluated surface tension values and the <strong>Results_(temperatures and locations).xlsx</strong> file contains all evaluated freezing locations (polar coordinates) and temperatures of all analyzed samples.</p>
Bioequivalence Trial of Liquid Versus Freeze-Dried Pergoveris® in Pituitary Suppressed Healthy Premenopausal Female Subjects
ClinicalTrials.gov study NCT02317809. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Long-term Effect of Low Frequency Stimulation on Aspiration and Freezing of Gait in PD With STN DBS
ClinicalTrials.gov study NCT02549859. IPD Sharing: Not stated. Countries: 1. Publications: 2.
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OpenNeuro
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