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37 results for “Desorption”
Laser Desorption Low-Temperature Plasma Mass Spectrometry Imaging (LD-LTP MSI) of tobacco seedlings
<p>Mass spectrometry imaging (MSI) data set in imzML format, of complete tobacco (<em>Nicotiana tabacum</em>) seedling using Laser Desorption Low-Temperature Plasma ionization. Mapping the ion that corresponds to nicotine shows accumulation in the roots and at the borders of leaves.</p> <p>The experiment is described in:</p> <p>Elucidating the Distribution of Plant Metabolites from Native Tissues with Laser Desorption Low-Temperature Plasma Mass Spectrometry Imaging, Abigail Moreno-Pedraza, Ignacio Rosas-Román, Nancy Shyrley Garcia-Rojas, Héctor Guillén-Alonso, Cesaré Ovando-Vázquez, David Díaz-Ramírez, Jessica Cuevas-Contreras, Fredd Vergara, Nayelli Marsch-Martínez, Jorge Molina-Torres, and Robert Winkler, Analytical Chemistry <strong>2019</strong> <em>91</em> (4), 2734-2743</p>
Laser Desorption Low-Temperature Plasma Mass Spectrometry Imaging (LD-LTP MSI) of San Pedro cactus
<p>Mass spectrometry imaging (MSI) data set in imzML format, obtained from San Pedro cactus (<em>Echinopsis pachanoi</em>) cross-section using Laser Desorption Low-Temperature Plasma ionization. Mapping the ion that corresponds to mescaline shows a star-like distribution of this interesting alkaloid.</p> <p>The experiment is described in:</p> <p>Elucidating the Distribution of Plant Metabolites from Native Tissues with Laser Desorption Low-Temperature Plasma Mass Spectrometry Imaging, Abigail Moreno-Pedraza, Ignacio Rosas-Román, Nancy Shyrley Garcia-Rojas, Héctor Guillén-Alonso, Cesaré Ovando-Vázquez, David Díaz-Ramírez, Jessica Cuevas-Contreras, Fredd Vergara, Nayelli Marsch-Martínez, Jorge Molina-Torres, and Robert Winkler, Analytical Chemistry <strong>2019</strong> <em>91</em> (4), 2734-2743</p> <p>DOI: 10.1021/acs.analchem.8b04406</p> <p> </p>
Simulating desorption in vacuum from a porous soil
<p>This dataset contains simulated data of desorption events from a Monte Carlo simulation of desorption and diffusion in 3D sphere packings. The packings were produced sampling the grain size distribution from Apollo soil 72141.<br> The gas species in these simulations have microphysical parameters consistent with alkali gases (Na, K).<br> The output may enable better representations of the desorption process in global exosphere models of Mercury and the Moon for these species.<br> Output in CSV format is presented as fraction of desorbed test particles versus time.</p>
EUV-Induced Hydrogen Desorption As A Step Towards Large-Scale Silicon Quantum Device Patterning
<p><strong>Dataset: </strong>STM, XPS and PEEM raw data, processed data and the codes used for data fitting our <a href="https://doi.org/10.1038/s41467-024-44790-6">published work</a> are all available here.</p> <p><strong>Abstract: </strong>Atomically precise hydrogen desorption lithography using scanning tunnelling microscopy (STM) has enabled the development of single-atom, quantum-electronic devices on a laboratory scale. Scaling up this technology to mass-produce these devices requires bridging the gap between the precision of STM and the processes used in next-generation semiconductor manufacturing. Here, we demonstrate the ability to remove hydrogen from a monohydride Si(001):H surface using extreme ultraviolet (EUV) light. We quantify the desorption characteristics using various techniques, including STM, X-ray photoelectron spectroscopy (XPS), and photoemission electron microscopy (XPEEM). Our results show that desorption is induced by secondary electrons from valence band excitations, consistent with an exactly solvable non-linear differential equation and compatible with the current 13.5 nm (~92 eV) EUV standard for photolithography; the data imply useful exposure times of order minutes for the 300 W sources characteristic of EUV infrastructure. This is an important step towards the EUV patterning of silicon surfaces without traditional resists, by offering the possibility for parallel processing in the fabrication of classical and quantum devices through deterministic doping.</p> <p> </p>
Dataset "Comprehensive laboratory constraints on thermal desorption of interstellar ice analogues"
<p>### Dataset Overview ###</p> <p>This dataset contains Temperature-Programmed Desorption data corresponding to the series of experiments described in Table 2 of our accompanying paper "Comprehensive laboratory constraints on thermal desorption of interstellar ice analogues". The focus of these experiments is to explore the thermal desorption of various molecular ice mixtures under specific conditions.</p> <p> </p>
Spatially mapping the baseline and bisphenol-A exposed Daphnia magna lipidome using desorption electrospray ionisa-tion - mass spectrometry
<p>Data from desorption electrospray ionisation - mass spectrometry of <em>Daphnia magna</em> tissue section from control and daphnids exposed to 5 ppm of bisphenol A over their 7<sup>th</sup> adult instar, specifically four sampling points; 8, 24, 48 and 72 h after the 6<sup>th</sup> brood, as well as data acquired from a blank DESI slide.</p> <p>Data is provided in the form of *imzML files with the associated *.ibd of the same name.</p>
Data associated to the manuscript "Co-Ion Desorption as the Main Charging Mechanism in Metallic 1T-MoS2 Supercapacitors"
<p>Supporting data for the article:</p> <p>Co-Ion Desorption as the Main Charging Mechanism in Metallic 1T-MoS<sub>2</sub> Supercapacitors</p> <p>Sheng Bi, Salanne Mathieu, <em>ACS Nano</em>, 2022</p> <p>https://pubs.acs.org/doi/10.1021/acsnano.2c07272</p> <p>The folders <em>slab </em>and <em>slit</em> contain typical MetalWalls input files used to perform the simulations for two electrode geometries.</p>
Development of a desorption electrospray ionization –multiple-reaction-monitoring mass spectrometry (DESI-MRM) workflow for spatially mapping oxylipins in pulmonary tissue
<p>Data from desorption electrospray ionization mass spectrometry – multiple-reaction-monitoring mass spectrometry (DESI-MRM) analysis of oxylipins in guinea pig lung tissue following<em> in vivo</em> exposure to house dust mite extract.</p> <p>Data are provided as Waters *.raw data folders, each incuding an 'Analyte .txt' file, which is generated from processing within MassLynx (Waters). The 'ion_library.txt' file includes details about the MRM transitions and is required for processing the data with quantMSImageR (<span><a href="https://github.com/targeted-lipidomics/quantMSImageR"><span>https://github.com/targeted-lipidomics/quantMSImageR</span></a></span><span>).</span></p>
Ammonium desorption of hyporheic sediments from Von Guerard Stream, McMurdo Dry Valleys, Antarctica (January 2019)
This data package provides analytic results for a laboratory assay on sediment samples collected in January 2019 from a transect (“P2”) across Von Guerard Stream (as described by Heindel et al. 2021), located in Taylor Valley, McMurdo Dry Valleys, Antarctica. We used excess sample from that study in a laboratory desorption assay to assess conductivity dependent desorption of ammonium. The assay was performed by mixing samples with potassium chloride treatment solutions that replicate the range of specific conductivities observed in Von Guerard Stream, shaking and centrifuging slurries, and analyzing filtered supernatant.
Dataset for the refractory aerosol thermal desorption mass spectrometer (rTDMS)
<p>A particle mass spectrometer to quantify non-refractory and refractory aerosols (referred to as refractory aerosol thermal desorption mass spectrometer: rTDMS) has been developed. The combination of a graphite particle collector and a carbon dioxide laser enables high desorption temperature. Ion signals originating from evolved gas molecules are detected by a quadrupole mass spectrometer.</p>
Supplementary XRD Material for "Experimental Constraints on Barium Isotope Fractionation during Adsorption-Desorption Reactions: Implications for Weathering and Erosion Tracer Applications"
<p><strong>Repository Overview:</strong> Supplementary powder X-ray diffraction (XRD) data for the study "Experimental Constraints on Barium Isotope Fractionation during Adsorption-Desorption Reactions: Implications for Weathering and Erosion Tracer Applications"</p> <p><strong>Data Provided:</strong> Powder X-ray diffractograms of the minerals used in the laboratory batch experiments. Pow</p> <p><strong>Minerals Analysed:</strong></p> <p><span>Clay Minerals:</span></p> <ul> <li>Kaolinite (KGa-2): purchased from the Clay Minerals Society (CMS).</li> <li>Montmorillonite (SWy-2): purchased from the Clay Minerals Society (CMS).</li> </ul> <p><span>Iron Oxyhydroxide Minerals:</span></p> <ul> <li>Goethite synthesised under alkaline conditions in the laboratories at the Department of Earth Sciences, University of Cambridge, following the method detailed in Schwertmann and Cornell (2008).</li> <li>2-line ferriydrite synthesised in the laboratories at the Department of Earth Sciences, University of Cambridge, following the method detailed in Schwertmann and Cornell (2008) methods.</li> </ul> <p><strong>XRD Methods:</strong></p> <ul> <li>Instrument and Set Up: Theta-Theta D8 Bruker Advance diffractometer with a Mo anode, Lynxeye XE-T PSD detector and 2 mm divergent slit.</li> <li>Sample Preparation: Zero-background monocrystalline silicon plate was used to minimize sample mass. The X-ray diffractogram of the silicon plate was measured prior to each sample measurement.</li> <li>Clay Minerals: 0.02° step size and a 3s step rate.</li> <li>Iron Oxyhydroxide Minerals: 0.03° increments and a 1s step rate.</li> </ul> <p><strong>Purpose of XRD Analyses:</strong></p> <ul> <li>To verify the correct synthesis of iron oxyhydroxide phases and to detect impurities.</li> <li>To monitor any mineralogical changes that occurred during adsorption-desorption reactions with water.</li> </ul> <p><strong>Data Format</strong></p> <table> <tbody> <tr> <td><strong>Column Name</strong></td> <td><strong>Description</strong></td> <td><strong>Unit</strong></td> </tr> <tr> <td>twotheta</td> <td>2θ</td> <td>°</td> </tr> <tr> <td>intensity</td> <td>intensity</td> <td>counts per second (cps)</td> </tr> <tr> <td>ID</td> <td>mineral ID</td> <td>unitless</td> </tr> <tr> <td>mineral</td> <td>mineral name</td> <td>unitless</td> </tr> <tr> <td>duration</td> <td>reaction duration</td> <td>minutes</td> </tr> </tbody> </table> <p><strong>Extra Notes</strong></p> <p>A reaction duration of zero minutes corresponds to an unreacted mineral sample.</p>
Data included in "Canopy leaching rather than desorption of PM2.5 from leaves is the dominant source of throughfall dissolved organic carbon in forest"
<p>Concentrations, optical properties, and carbon isotopic ratios of dissolved organic carbon in precipitation and throughfall, as well as concentrations and carbon isotopic ratios of total carbon in PM2.5, at the Taehwa Research Forest in South Korea</p> <p> </p>
Initial application of the noise-sorted scanning clustering algorithm to the analysis of composition-dependent organic aerosol thermal desorption measurements
Open the record for dataset details and reuse information.
Data from: Effect of soil pH and minerology on the sorption and desorption of phosphite and phosphate in Ultisols of the Southeastern Coastal Plain
Open the record for dataset details and reuse information.
Laser Desorption Low-Temperature Plasma Mass Spectrometry Imaging (LD-LTP MSI) of jimsonweed
<p>Mass spectrometry imaging (MSI) data set in imzML format, obtained from jimsonweed (Datura stramonium) fruits and seeds using Laser Desorption Low-Temperature Plasma ionization. The data indicate the non-uniform distribution of tropane alkaloids.</p> <p>The experiment is described in:</p> <p>Elucidating the Distribution of Plant Metabolites from Native Tissues with Laser Desorption Low-Temperature Plasma Mass Spectrometry Imaging, Abigail Moreno-Pedraza, Ignacio Rosas-Román, Nancy Shyrley Garcia-Rojas, Héctor Guillén-Alonso, Cesaré Ovando-Vázquez, David Díaz-Ramírez, Jessica Cuevas-Contreras, Fredd Vergara, Nayelli Marsch-Martínez, Jorge Molina-Torres, and Robert Winkler, Analytical Chemistry 2019 91 (4), 2734-2743</p> <p>DOI: 10.1021/acs.analchem.8b04406</p>
Data for "Thermal Desorption Kinetics, Binding Energies, and Entrapment of Methyl Mercaptan Ices"
<p>This data includes infrared and mass spectra for thermal desorption experiments of methyl mercaptan and methanol ices. There are also Gaussian 16 log files that were used for complementary analysis of the data (i.e. single/dimer molecule optimization+frequency and harmonic/anharmonic band strength calculations) using the M062X/cc-pVDZ or M062X/cc-pVQZ or B3LYP/cc-pVDZ levels of theory. </p>
Data of thermally stimulated desorption from the surface of black aluminum layers prepared by PVD methods
<p><span>Files contain datasets of presented curves in the figures of </span><span>thermally stimulated desorption from the surface of black aluminum layers prepared by PVD methods.</span></p>
Dataset: Infrared Spectroscopy and Quadrupole Mass Spectrometry during Temperature Programmed Desorption of Mixed Hyper-volatile (CO, N2, Ar) and Amorphous Ices (H2O, CO2)
<p>IR spectra of H2O:CO and CO2:CO ices mixed at 2 concentrations (5:1 and 15:1) and grown to 7 thicknesses (50 to 3000 ML). Spectra are also included for a smaller set of H2O:N2, H2O:Ar, CO2:N2, and CO2:Ar ices. </p> <p>The files are .txt files, where the first column is wavenumber (cm-1) and the second is IR absorbance.</p> <p>QMS data taken during TPD of H2O:CO and CO2:CO ices mixed at 2 concentrations (5:1 and 15:1) and grown to 7 thicknesses (50 to 3000 ML). Data are also included for a smaller set of H2O:N2, H2O:Ar, CO2:N2, and CO2:Ar ices.</p> <p>Constructing TPD curves require 2 files for each ice, a .asc file and a .xls file. The .asc files contain the relative time (s) and ion count for many relevant m/z. The .xls files contain time (s) and temperature (K). Time from each file can be interpolated to produce ion count as a function of temperature.</p>
Deuterium desorption flux from tungsten-deuterium codeposited layers
<p>Measurement and modeling of deuterium desorption flux from tungsten-deuterium codeposited samples formed under various experimental conditions. The samples are labeled "WD_#" where the sample number # is 1-3, 6-10, or 12-14, same as in the manuscript "The effect of D2 partial pressure, deposition rate, and sample temperature on D retention in W codeposited layers" by Patino et al. to be published in the journal Nuclear Materials and Energy. The experimental conditions for each sample are summarized in Table 1 of the same manuscript.</p> <p>WDcodep_spectra_experimental.mat: Experimental data measured via thermal desorption spectrometry (TDS), as described in detail in the above manuscript. Columns include time (in seconds) during TDS, desorption temperature (in Kelvin), and deuterium desorption flux (in m^-2s^-1). The # in the dataset label ("WD_#") indicates the sample number.</p> <p>WDcodep_spectra_festim.mat: Modeling data performed with FESTIM of deuterium release during TDS, as described in detail in the above manuscript. Columns include desorption temperature (in Kelvin) and deuterium desorption flux (in m^-2s^-1). The # in the dataset label ("WD_#_festim") indicates the sample number.</p>
Dataset used in "Deamidation analysis of Therapeutic Drugs using Matrix-assisted Laser Desorption Ionization Mass Spectrometry and A Novel Algorithm QuanDA"
<p><span>Overview</span></p> <p><span>Theoretical MALDI spectra of peptides, both before and after deamidation, are crucial for the analysis of real samples. QuanDA is a method utilizing non-negative least squares to calculate the percentage of deamidation during the aging process of standard peptides and therapeutic drugs.</span></p> <p><span>Dataset Description</span></p> <p><span>The `data` directory contains example datasets specifically designed for analyzing peptide deamidation:</span></p> <p><span>D.txt: Simulated spectra of the pure synthetic peptide Pep-D.</span></p> <p><span>N.txt: Simulated spectra of the pure synthetic peptide Pep-N.</span></p> <p><span>Asn2Asp18: Contains 10 measurements from a sample comprising 10% Pep-N and 90% Pep-D.</span></p> <p><span>Asn18Asp2: Comprises 10 measurements from a sample with 90% Pep-N and 10% Pep-D.</span></p> <p><span>Peptide Sequences: Pep-N: YTHQGLSSPVTKSFNRGE; Pep-D: YTHQGLSSPVTKSFDRGE</span></p> <p><span>These synthetic peptides are utilized to investigate deamidation behavior.</span></p> <p><span>Somatostatin Dataset: Contains data from actual samples analyzed over 0-13 days under physiological conditions (pH 7.4, 37°C) and storage conditions (pH 4, 4°C). This dataset includes theoretical values before and after deamidation.</span></p>
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