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25 results for “Relaxometry”
Dataset for: "Dynamical properties of solid and hydrated collagen: Insight from nuclear magnetic resonance relaxometry"
<p>The dataset contains a full set of 1H magnetization curves (1H magnetization versus time) for solid and hydrated collagen and collagen-based artificial tissues.</p> <p>DOI of article: <a href="https://doi.org/10.1063/5.0191409" target="_blank" rel="noopener">https://doi.org/10.1063/5.0191409</a></p> <p>This research was funded by the National Science Centre, Poland, Grant No. 2021/43/B/NZ5/01602.</p>
MRI raw data for: A novel phantom with dia- and paramagnetic substructure for quantitative susceptibility mapping and relaxometry
<p>MRI raw data from three different magnetic field strength (1.5 T, 3 T, 7T; 7T data are in separate datasets) for the publication 'A novel phantom with dia- and paramagnetic substructure for quantitative susceptibility mapping and relaxometry', in which a phantom was presented that allows for an experimental evaluation of QSM reconstruction algorithms. The phantom contains susceptibility producing particles with dia- and paramagnetic properties embedded in an MRI visible medium (gelatin and agarose gel) and is suitable to assess the performance of algorithms that attempt to separate isotropic dia- and paramagnetic susceptibility at the sub-voxel level. The dataset additionally contains raw data for a phantom that only contains diamagnetic and paramagnetic particles, respectively, for magnetic field strengths of 1.5 T and 3 T (additional 7 T data are provided in separate datasets).</p>
Data for "Dynamic of binary molecular systems – advantages and limitations of NMR relaxometry"
<p>Raw data for "Dynamic of binary molecular systems – advantages and limitations of NMR relaxometry". DOI of article: https://doi.org/10.1063/5.0188257</p>
Data for "Detection of metabolite-protein interactions in complex biological samples by high-resolution relaxometry: towards interactomics by NMR"
<p>Raw NMR data for relaxometry experiments, divided by donor sample. For every donor sample 2 or 3 different samples were used in order to record data at 19 different magnetic fields.</p> <p>Data from fast field-cycling relaxometry. All the data is in one xlsx file, divided by donor sample.</p> <p>Relaxometry results for alanine, lactate, creatinine and glutamine, obtained from the fitting of their relaxation decays recorded at 19 different fields, divided by donor sample.</p>
7T MRI raw data for: A novel phantom with dia- and paramagnetic substructure for quantitative susceptibility mapping and relaxometry
<p>MRI 7 T raw data for the publication 'A novel phantom with dia- and paramagnetic substructure for quantitative susceptibility mapping and relaxometry', in which a phantom was presented that allows for an experimental evaluation of QSM reconstruction algorithms. The phantom contains susceptibility producing particles with dia- and paramagnetic properties embedded in an MRI visible medium (gelatin and agarose gel) and is suitable to assess the performance of algorithms that attempt to separate isotropic dia- and paramagnetic susceptibility at the sub-voxel level. This dataset only contains additional raw data for a phantom that only contains diamagnetic and paramagnetic particles, respectively.</p>
QUIQI II Dataset - Statistical analyses of motion-corrupted MRI relaxometry data
<p>QUIQI II package includes supporting material for the scientific article by Corbin et al. entitled ‘Statistical analyses of motion-corrupted MRI relaxometry data’.</p> <p>The complete support package for the QUIQI method includes:</p> <ol> <li>A copy of the original analysis code used to compile the results presented in the original scientific publication (doi: 10.5281/zenodo.7612032) </li> <li>A subset of the data used in the original publication for computation of the results. This data also includes a set of analysis results obtained by running the code described in 1. on the provided data.</li> </ol> <p><br> The combination of 1. and 2. allows users to replicate the computation of the provided analysis results.<br> <strong>The material provided here only concerns part 2. of the QUIQI support package described above - subset of the data used in the original publication.</strong></p>
Data for "Impact of Charge Conversion on NV-Center Relaxometry"
<p>Here, data sets as plotted in the preprint "Impact of Charge Conversion on NV-Center Relaxometry" (v2) are uploaded.</p> <p>The zip file "Data_v2" contains a folder for each figure in the preprint (named after the figure).</p> <p>Each folder contains the data for all graphs in each figure (e.g. (a) and (b) of figure 3) in separate csv files and, if necessary, a text document file "README", in which additional information can be found. If a fit function is plotted in a graph, the folder contains another separate csv file in which the fit data and fit function are contained.</p>
Characterization of Functionalized Chromatographic Nanoporous Silica Materials by Coupling Water Adsorption and Intrusion with Nuclear Magnetic Resonance Relaxometry
<p>This data publication is based on the metadata and datasets underlying the manuscript "Characterization of Functionalized Chromatographic Nanoporous Silica Materials by Coupling Water Adsorption and Intrusion with Nuclear Magnetic Resonance Relaxometry" (<a href="https://doi.org/10.1021/acsanm.3c04330"><span>https://doi.org/10.1021/acsanm.3c04330</span></a>)</p> <p>Included are the datasets used, raw and processed data of Adsorption measurements (Water, Ar 87K, N2 77K), Water Intrusion measurements, NMR Relaxometry and solid state MAS NMR measurements. More information can be found in the Readme file.</p> <p> </p>
Data for "Temperature dependence of charge conversion during NV-center relaxometry in nanodiamond"
<p>In this Zenodo repository, the data as plotted in "Temperature dependence of charge conversion during NV-center relaxometry in nanodiamond" is uploaded. The file consists of folders named after the figures in the manuscript, where each folder contains csv files and a readme file in which additional information can be found. If a fit function is plotted in a figure, the fit data is also given in a csv file.</p>
Molecular Dynamics of Jelly Candies by Means of Nuclear Magnetic Resonance Relaxometry
<p><sup>1</sup>H spin-lattice Nuclear Magnetic Resonance relaxation studies have been performed for different kinds of Haribo jelly and Vidal jelly in a very broad frequency range from about 10 kHz to 10 MHz to obtain insight into the dynamic and structural properties of jelly candies on the molecular level. This extensive data set has been thoroughly analyzed revealing three dynamic processes, referred to as slow, intermediate and fast dynamics occurring on the timescale of 10<sup>−6</sup> s, 10<sup>−7</sup> s and 10<sup>−8</sup> s, respectively. The parameters have been compared for different kinds of jelly for the purpose of revealing their characteristic dynamic and structural properties as well as to enquire into how increasing temperature affects these properties. It has been shown that dynamic processes in different kinds of Haribo jelly are similar (this can be treated as a sign of their quality and authenticity) and that the fraction of confined water molecules is reduced with increasing temperature. Two groups of Vidal jelly have been identified. For the first one, the parameters (dipolar relaxation constants and correlation times) match those for Haribo jelly. For the second group including cherry jelly, considerable differences in the parameters characterizing their dynamic properties have been revealed.</p>
7 T MRI rawdata for (part 1): A novel phantom with dia- and paramagnetic substructure for quantitative susceptibility mapping and relaxometry
<p>MRI raw data from three different magnetic field strength (1.5 T, 3 T, 7T; 7T data are in separate datasets) for the publication 'A novel phantom with dia- and paramagnetic substructure for quantitative susceptibility mapping and relaxometry', in which a phantom was presented that allows for an experimental evaluation of QSM reconstruction algorithms. The phantom contains susceptibility producing particles with dia- and paramagnetic properties embedded in an MRI visible medium (gelatin and agarose gel) and is suitable to assess the performance of algorithms that attempt to separate isotropic dia- and paramagnetic susceptibility at the sub-voxel level. This dataset additionally contains raw data for a phantom that only contains diamagnetic and paramagnetic particles, respectively, for magnetic field strengths of 7 T.</p>
7 T MRI rawdata for (part 2): A novel phantom with dia- and paramagnetic substructure for quantitative susceptibility mapping and relaxometry
<p>MRI raw data from three different magnetic field strength (1.5 T, 3 T, 7T; 7T data are in separate datasets) for the publication 'A novel phantom with dia- and paramagnetic substructure for quantitative susceptibility mapping and relaxometry', in which a phantom was presented that allows for an experimental evaluation of QSM reconstruction algorithms. The phantom contains susceptibility producing particles with dia- and paramagnetic properties embedded in an MRI visible medium (gelatin and agarose gel) and is suitable to assess the performance of algorithms that attempt to separate isotropic dia- and paramagnetic susceptibility at the sub-voxel level. This dataset additionally contains raw data for a phantom that only contains diamagnetic and paramagnetic particles, respectively, for magnetic field strengths of 7 T.</p>
Dataset for NMR quadrature echo and T1 saturation recovery pulse sequences underlying the publication 'On the quantification of solid phases in hydrated cement paste by 1H nuclear magnetic resonance relaxometry'
<p>This record comprises the datasets of combined 1H NMR quadrature echo and T1 saturation recovery pulse sequences underlying the publication “On the quantification of solid phases in hydrated cement paste by 1H nuclear magnetic resonance relaxometry” by Robert Schulte Holthausen & Peter J. McDonald, Cement and Concrete Research, https://doi.org/10.1016/j.cemconres.2020.106095.</p> <p><br> In this work different solid phases, important to cement paste hydration, are investigated with low-field bench top 1H nuclear magnetic resonance with a view to developing an alternate characterisation methodology that requires minimal invasive or destructive sample preparation.</p> <p><br> A combination of the well-established quadrature echo pulse sequence with variable pulse gap together with a T1 saturation recovery quadrature echo pulse sequence is used.</p>
NMR Relaxometry data for publication "Engineered Nonviral Protein Cages Modified for MR Imaging"
<p>NMRD profiles collected with field-cycling NMR relaxometry of a water solution of Gd-C4-IA, and of AaLS-13 and OP protein cages labeled with the gadolinium(III) complex.</p> <p>Published in: https://doi.org/10.1021/acsabm.2c00892</p> <p>NMRD data acquisition and analysis was performed with the support of the PRIN 2017A2KEPL project “Rationally designed nanogels embedding paramagnetic ions as MRI. probes”, and the European Commision through H2020 FET-Open project HIRES-MULTIDYN<br> award no. 899683 and H2020 INFRAIA iNEXT-Discovery (Structural Biology Research Infrastructures for Translational Research and Discovery) award no. 871037.</p>
Data from: Zero- to ultralow-field relaxometry of chemical and biological fluids
<p>NMR relaxometry is an analytical technique that provides information about the molecular environment by analyzing the properties of NMR signals versus the magnitude of the longitudinal field. In this work, we present NMR relaxometry at zero and ultra-low magnetic fields (ZULFs). Operation under ZULFs allows us to investigate many slow (bio)chemical processes, whose timescale (milliseconds-seconds) coincides with a timescale of spin evolution. In contrast to their high-field NMR, ZULF NMR measurements can be performed with atomic magnetometers. Here, we share the dataset obtained from ZULF NMR relaxometry measurements of (bio)chemical compounds containing 1H 13C, 1H-15N, and 1H-31P spin pairs, human whole-blood and blood-plasma.</p>
Raw Data From: "Investigating the crystallinity of hard candies prepared and stored at different temperatures with low field-NMR relaxometry"
<p><strong>Background: </strong>In this study, hard candies were produced by using sucrose, glucose syrup and water. They were cooked at different temperatures, changing from 135 to 145 °C with an interval of 2.5 °C. They were stored at different storage temperatures, which were 25, 4, -18 and -80 °C. Hard candies placed at room temperature were stored for 2 months. In order to understand the crystallization characteristics of the hard candies, time domain (TD) proton nuclear magnetic resonance (<sup>1</sup>H-NMR) parameters of longitudinal relaxation time (T<sub>1</sub>) and second moment (M<sub>2</sub>) measurements were conducted. Moisture contents of the hard candies were determined by Karl-Fischer titration. X-ray diffraction experiments were also conducted as the complementary analysis.</p> <p><strong>Results: </strong>Increasing cooking temperature increased the crystallinity and decreased the moisture content of the hard candies significantly (P ≤0.05). Furthermore, storage temperature and storage time had significant effects on the crystallinity of the hard candies (P ≤0.05). The results of T<sub>1</sub> and M<sub>2</sub> correlated with each other (r > 0.8, P ≤ 0.5) and both produced the highest value at the cooking temperature of 145 °C and storage temperature of 4 °C (P ≤ 0.05). The values of T<sub>1</sub> and M<sub>2</sub> were obtained as 245.9 ms and 13.0 × 10<sup>-8</sup> Hz<sup>2</sup>, respectively, for the cooking temperature of 145 °C and storage temperature of 4 °C.</p> <p><strong>Conclusion: </strong>This study demonstrated that the crystallinity of hard candies can be observed and examined by TD-NMR relaxometry, as an alternative to commonly used methods. © 2024 The Author(s). Journal of the Science of Food and Agriculture published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.</p>
Data from: Zero- to ultralow-field relaxometry of chemical and biological fluids
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Data for "Water dynamics in highly concentrated protein systems – insight from Nuclear Magnetic Resonance relaxometry
<p>Raw data (<sup>1</sup>H magnetization versus time) for "Water dynamics in highly concentrated protein systems – insight from Nuclear Magnetic Resonance relaxometry".</p> <p>The files include information about concentration and temperature.</p> <p><em>Int. J. Mol. Sci.</em> <strong>2023</strong>, <em>24</em>(4), 4093; https://doi.org/10.3390/ijms24044093</p> <p> </p>
Imaging non-collinear antiferromagnetic textures via single spin relaxometry
<p>Data related to the publication, arXiv 2006.13130.</p>
Non-human primate white matter development during the first year of life as assessed by diffusion tensor imaging and quantitative relaxometry
<p>In this project, we use diffusion tensor imaging (DTI) and quantitative relaxometry (QR) metrics to assess longitudinal changes in white matter (WM) throughout the postnatal rhesus macaque brain across the first year of life. DTI and QR metrics are measured at 3, 7, 13, 25, and 53 weeks of age in each of 35 non-human primates (NHPs) in this sample, for a total 175 datapoints (i.e., scans). Leveraging a previously published NHP WM atlas (Adluru et al., 2012; Zakszewski et al., 2014), we assess WM microstructure in 76 WM regions across the brain. DTI metrics include fractional anisotropy (FA), mean diffusivity (MD), radial diffusivity (RD), and axial diffusivity (AD); the QR metric assessed is the longitudinal relaxation rate (qR<sub>1</sub>). These longitudinal data enable the direct comparison of DTI and QR metrics in very early life on a within-subject level, as well as robust, multimodal modeling of WM growth in infancy, providing insights into early postnatal neurodevelopment that may have important implications neuropsychiatric and neurodevelopmental disorders in childhood.</p>
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