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92 results for “formaldehyde”
Properties and formaldehyde removal efficiency of biocarbon-MnO2 particles
<p>The dataset includes information about biocarbon particles doped with different concentrations of MnO2 photocatalyst (BC-MnO2)</p><p>Six different samples: MnO2, biocarbon, BC-MnO2-1, BC-MnO2-2, BC-MnO2-3, BC-MnO2-4</p><p>Characterization of the samples:</p><p>* SEM images collected using scanning electron microscope (Carl Zeiss SUPRA 35 VP)</p><p>* XRD data collected using Bruker D2 Phaser diffractometer</p><p>* Porosity data collected using physisorption analyzer (Autosorb iQ-XR-AG-AG). The dataset contains data about isotherms and pores size distributions from tests under nitrogen gas (meso and macro porosity) and CO2 gas (microporosity).</p><p>Formaldehyde removal potential of the samples: The raw data were generated from an electrochemical formaldehyde sensor (Stox-HCHO) at ambient conditions (temperature of 23 °C, relative humidity between 40% and 46%, and conventional visible light). The sensor was placed in a test chamber equipped with the sensor and 8 µl of formaldehyde (HCHO) solution was injected. Then the test chamber was hermetically closed and changes in formaldehyde levels were measured. The same sensor provided information about temperature and relative humidity in the test chamber. Data was aquired using TVOC-HCHO logger software. The formaldehyde removal efficiency (%) of the samples after 8h of experiment was determined from the raw data.</p>
Measurements and model simulations of iodine monoxide (IO) radical, water vapor (H2O), nitrogen dioxide (NO2) radical, formaldehyde (HCHO), gaseous elemental mercury (Hg0), and oxidized mercury (HgII) at Storm Peak Laboratory, Colorado, during April 2022
<p>This dataset was compiled to accompany the manuscript Lee et al., titled "Elevated Tropospheric Iodine over the Central Continental United States: Is Iodine a Major Oxidant of Atmospheric Mercury?", submitted to <em>AGU Geophysical Research Letters</em>.</p> <p> </p> <p><strong>file01</strong> contains two example spectral proofs for iodine monoxide (IO) radical measured by the University of Colorado Multi-AXis Differential Optical Absorption Spectroscopy (CU MAX-DOAS) instrument at Storm Peak Laboratory, CO (SPL; 3220 meters above sea level; 40.455 degrees North; 106.745 degrees West) during April 2022.</p> <p><strong>file02</strong> contains oxygen collision-induced absorption (O2-O2) slant column densities (SCDs) measured in a spectral fit window from 350 to 388 nm by the CU MAX-DOAS instrument at SPL from April 1 to April 30, 2022.</p> <p><strong>file03</strong> contains O2-O2 SCDs measured in a spectral fit window from 425 to 490 nm by the CU MAX-DOAS instrument at SPL from April 1 to April 30, 2022.</p> <p><strong>file04</strong> contains IO SCDs measured in a spectral fit window from 417.5 to 438 nm by the CU MAX-DOAS instrument at SPL from April 1 to April 30, 2022.</p> <p><strong>file05</strong> contains water vapor (H2O) SCDs measured in a spectral fit window from 425 to 490 nm by the CU MAX-DOAS instrument at SPL from April 1 to April 30, 2022.</p> <p><strong>file06</strong> contains nitrogen dioxide (NO2) radical SCDs measured in a spectral fit window from 425 to 490 nm by the CU MAX-DOAS instrument at SPL from April 1 to April 30, 2022.</p> <p><strong>file07</strong> contains formaldehyde (HCHO) SCDs measured in a spectral fit window from 328,5 to 359 nm by the CU MAX-DOAS instrument at SPL from April 1 to April 30, 2022.</p> <p><strong>file08</strong> contains the profiles of pressure, temperature, O2-O2, ozone (O3), NO2, and H2O derived from ECMWF CAMS reanalysis (April 2022 at SPL) and used in the radiative transfer model McArtim3 to calculate weighting functions for the trace gas profile inversions of IO, H2O, NO2, and HCHO.</p> <p><strong>file09</strong> contains the a priori profiles used for the IO profile inversions during April 2022 at SPL. One profile assumes a "flat" profile shape with a constant volume mixing ratio of 0.10 pptv throughout the atmosphere. The other profile is adapted from the GEOS-Chem April 2022 daytime (SZA < 85) average.</p> <p><strong>file10</strong> contains the a priori profile used for the H2O profile inversions during April 2022 at SPL. The profile is adapted from the GEOS-Chem April 2022 daytime (SZA < 85) average.</p> <p><strong>file11</strong> contains the a priori profile used for the NO2 profile inversions during April 2022 at SPL. The profile is adapted from the GEOS-Chem April 2022 daytime (SZA < 85) average.</p> <p><strong>file12</strong> contains the a priori profile used for the HCHO profile inversions during April 2022 at SPL. The profile is adapted from the GEOS-Chem April 2022 daytime (SZA < 85) average.</p> <p><strong>file13</strong> contains the IO tropospheric vertical column densities (VCDtrop; surface to 12 km), volume mixing ratios near instrument altitude (VMRinstr), and degrees of freedom (DoF) measured by the CU MAX-DOAS instrument at SPL from April 1 to April 30, 2022.</p> <p><strong>file14</strong> contains the H2O VCDtrop, VMRinstr, and DoF measured by the CU MAX-DOAS instrument at SPL from April 1 to April 30, 2022.</p> <p><strong>file15</strong> contains the NO2 VCDtrop, VMRinstr, and DoF measured by the CU MAX-DOAS instrument at SPL from April 1 to April 30, 2022.</p> <p><strong>file16</strong> contains the HCHO VCDtrop, VMRinstr, and DoF measured by the CU MAX-DOAS instrument at SPL from April 1 to April 30, 2022.</p> <p><strong>file17</strong> contains GEOS-Chem simulated temperature, relative humidity, IO VCDtrop & VMRinstr, H2O VCDtrop & VMRinstr, NO2 VCDtrop & VMRinstr, HCHO VCDtrop & VMRinstr, and bromine monoxide (BrO) radical VCDtrop & VMRinstr at SPL from April 1 to April 30, 2022.</p> <p><strong>file18</strong> contains the gaseous elemental mercury (Hg0) measured by the Utah State University dual-channel mercury system at SPL from April 1 to April 30, 2022.</p> <p><strong>file19</strong> contains the oxidized mercury (HgII) measured by the Utah State University dual-channel mercury system at SPL from April 1 to April 30, 2022.</p> <p><strong>file20</strong> contains the GEOS-Chem simulated Hg0 and HgII at SPL from April 1 to April 30, 2022.</p> <p><strong>file21</strong> contains the profiles of pressure, temperature, relative humidity, BrO, bromine atom (Br), methane (CH4), chlorine monoxide (ClO) radical, chlorine atom (Cl), carbon monoxide (CO), Hg0, peroxy radical (HO2), IO, iodine atom (I), NO2, hydroxyl radical (OH), and O3 used as constraints for the gas-phase mercury box model. All profiles except IO and I are adapted from the GEOS-Chem April 2022 daytime (SZA < 85) average. The IO profile was calculated by scaling the GEOS-Chem April 2022 daytime (SZA < 85) average below 12 km by the average observed IO VCDtrop during April 2022. The I atom profile was calculated by multiplying the scaled IO profile by the ratio of unscaled I / unscaled IO profiles from GEOS-Chem.</p> <p> </p> <p><strong>file22</strong> contains the time-resolved gas-phase mercury box model output assuming that <strong>HgI forms at half the rate as HgBr</strong> and that the Hg-I bond strength is <strong>8 kcal / mol</strong>, using <strong>HgOH</strong> as reference for the B-value in the HgI equilibrium coefficient.</p> <p><strong>file23</strong> contains the time-resolved gas-phase mercury box model output assuming that <strong>HgI forms at half the rate as HgBr</strong> and that the Hg-I bond strength is <strong>9.5 kcal / mol</strong>, using <strong>HgOH</strong> as reference for the B-value in the HgI equilibrium coefficient.</p> <p><strong>file24</strong> contains the time-resolved gas-phase mercury box model output assuming that <strong>HgI forms at half the rate as HgBr</strong> and that the Hg-I bond strength is <strong>11 kcal / mol</strong>, using <strong>HgOH</strong> as reference for the B-value in the HgI equilibrium coefficient.</p> <p><strong>file25</strong> contains the time-resolved gas-phase mercury box model output assuming that <strong>HgI forms at the same rate as HgBr</strong> and that the Hg-I bond strength is <strong>8 kcal / mol</strong>, using <strong>HgOH</strong> as reference for the B-value in the HgI equilibrium coefficient.</p> <p><strong>file26</strong> contains the time-resolved gas-phase mercury box model output assuming that <strong>HgI forms at the same rate as HgBr</strong> and that the Hg-I bond strength is <strong>9.5 kcal / mol</strong>, using <strong>HgOH</strong> as reference for the B-value in the HgI equilibrium coefficient.</p> <p><strong>file27</strong> contains the time-resolved gas-phase mercury box model output assuming that <strong>HgI forms at the same rate as HgBr</strong> and that the Hg-I bond strength is <strong>11 kcal / mol</strong>, using <strong>HgOH</strong> as reference for the B-value in the HgI equilibrium coefficient.</p> <p><strong>file28</strong> contains the time-resolved gas-phase mercury box model output assuming that <strong>HgI forms at twice the rate as HgBr</strong> and that the Hg-I bond strength is <strong>8 kcal / mol</strong>, using <strong>HgOH</strong> as reference for the B-value in the HgI equilibrium coefficient.</p> <p><strong>file29</strong> contains the time-resolved gas-phase mercury box model output assuming that <strong>HgI forms at twice the rate as HgBr</strong> and that the Hg-I bond strength is <strong>9.5 kcal / mol</strong>, using <strong>HgOH</strong> as reference for the B-value in the HgI equilibrium coefficient.</p> <p><strong>file30</strong> contains the time-resolved gas-phase mercury box model output assuming that <strong>HgI forms at twice the rate as HgBr</strong> and that the Hg-I bond strength is <strong>11 kcal / mol</strong>, using <strong>HgOH</strong> as reference for the B-value in the HgI equilibrium coefficient.</p> <p><strong>file31</strong> contains the time-resolved gas-phase mercury box model output assuming that <strong>HgI forms at half the rate as HgBr</strong> and that the Hg-I bond strength is <strong>8 kcal / mol</strong>, using <strong>HgBr</strong> as reference for the B-value in the HgI equilibrium coefficient.</p> <p><strong>file32</strong> contains the time-resolved gas-phase mercury box model output assuming that <strong>HgI forms at half the rate as HgBr</strong> and that the Hg-I bond strength is <strong>9.5 kcal / mol</strong>, using <strong>HgBr</strong> as reference for the B-value in the HgI equilibrium coefficient.</p> <p><strong>file33</strong> contains the time-resolved gas-phase mercury box model output assuming that <strong>HgI forms at half the rate as HgBr</strong> and that the Hg-I bond strength is <strong>11 kcal / mol</strong>, using <strong>HgBr</strong> as reference for the B-value in the HgI equilibrium coefficient.</p> <p><strong>file34</strong> contains the time-resolved gas-phase mercury box model output assuming that <strong>HgI forms at the same rate as HgBr</strong> and that the Hg-I bond strength is <strong>8 kcal / mol</strong>, using <strong>HgBr</strong> as reference for the B-value in the HgI equilibrium coefficient.</p> <p><strong>file35</strong> contains the time-resolved gas-phase mercury box model output assuming that <strong>HgI forms at the same rate as HgBr</strong> and that the Hg-I bond strength is <strong>9.5 kcal / mol</strong>, using <strong>HgBr</strong> as reference for the B-value in the HgI equilibrium coefficient.</p> <p><strong>file36</strong> contains the time-resolved gas-phase mercury box model output assuming that <strong>HgI forms at the same rate as HgBr</strong> and that the Hg-I bond strength is <strong>11 kcal / mol</strong>, using <strong>HgBr</strong> as reference for the B-value in the HgI equilibrium coefficient.</p> <p><strong>file37</strong> contains the time-resolved gas-phase mercury box model output assuming that <strong>HgI forms at twice the rate as HgBr</strong> and that the Hg-I bond strength is <strong>8 kcal / mol</strong>, using <strong>HgBr</strong> as reference for the B-value in the HgI equilibrium coefficient.</p> <p><strong>file38</strong> contains the time-resolved gas-phase mercury box model output assuming that <strong>HgI forms at twice the rate as HgBr</strong> and that the Hg-I bond strength is <strong>9.5 kcal / mol</strong>, using <strong>HgBr</strong> as reference for the B-value in the HgI equilibrium coefficient.</p> <p><strong>file39</strong> contains the time-resolved gas-phase mercury box model output assuming that <strong>HgI forms at twice the rate as HgBr</strong> and that the Hg-I bond strength is <strong>11 kcal / mol</strong>, using <strong>HgBr</strong> as reference for the B-value in the HgI equilibrium coefficient.</p> <p> </p> <p><strong>file40</strong> contains a profile of the gas-phase mercury box model output assuming that <strong>HgI forms at half the rate as HgBr</strong> and that the Hg-I bond strength is <strong>8 kcal / mol</strong>, using <strong>HgOH</strong> as reference for the B-value in the HgI equilibrium coefficient.</p> <p><strong>file41</strong> contains a profile of the gas-phase mercury box model output assuming that <strong>HgI forms at half the rate as HgBr</strong> and that the Hg-I bond strength is <strong>9.5 kcal / mol</strong>, using <strong>HgOH</strong> as reference for the B-value in the HgI equilibrium coefficient.</p> <p><strong>file42</strong> contains a profile of the gas-phase mercury box model output assuming that <strong>HgI forms at half the rate as HgBr</strong> and that the Hg-I bond strength is <strong>11 kcal / mol</strong>, using <strong>HgOH</strong> as reference for the B-value in the HgI equilibrium coefficient.</p> <p><strong>file43</strong> contains a profile of the gas-phase mercury box model output assuming that <strong>HgI forms at the same rate as HgBr</strong> and that the Hg-I bond strength is <strong>8 kcal / mol</strong>, using <strong>HgOH</strong> as reference for the B-value in the HgI equilibrium coefficient.</p> <p><strong>file44</strong> contains a profile of the gas-phase mercury box model output assuming that <strong>HgI forms at the same rate as HgBr</strong> and that the Hg-I bond strength is <strong>9.5 kcal / mol</strong>, using <strong>HgOH</strong> as reference for the B-value in the HgI equilibrium coefficient.</p> <p><strong>file45</strong> contains a profile of the gas-phase mercury box model output assuming that <strong>HgI forms at the same rate as HgBr</strong> and that the Hg-I bond strength is <strong>11 kcal / mol</strong>, using <strong>HgOH</strong> as reference for the B-value in the HgI equilibrium coefficient.</p> <p><strong>file46</strong> contains a profile of the gas-phase mercury box model output assuming that <strong>HgI forms at twice the rate as HgBr</strong> and that the Hg-I bond strength is <strong>8 kcal / mol</strong>, using <strong>HgOH</strong> as reference for the B-value in the HgI equilibrium coefficient.</p> <p><strong>file47</strong> contains a profile of the gas-phase mercury box model output assuming that <strong>HgI forms at twice the rate as HgBr</strong> and that the Hg-I bond strength is <strong>9.5 kcal / mol</strong>, using <strong>HgOH</strong> as reference for the B-value in the HgI equilibrium coefficient.</p> <p><strong>file48</strong> contains a profile of the gas-phase mercury box model output assuming that <strong>HgI forms at twice the rate as HgBr</strong> and that the Hg-I bond strength is <strong>11 kcal / mol</strong>, using <strong>HgOH</strong> as reference for the B-value in the HgI equilibrium coefficient.</p> <p><strong>file49</strong> contains a profile of the gas-phase mercury box model output assuming that <strong>HgI forms at half the rate as HgBr</strong> and that the Hg-I bond strength is <strong>8 kcal / mol</strong>, using <strong>HgBr</strong> as reference for the B-value in the HgI equilibrium coefficient.</p> <p><strong>file50</strong> contains a profile of the gas-phase mercury box model output assuming that <strong>HgI forms at half the rate as HgBr</strong> and that the Hg-I bond strength is <strong>9.5 kcal / mol</strong>, using <strong>HgBr</strong> as reference for the B-value in the HgI equilibrium coefficient.</p> <p><strong>file51</strong> contains a profile of the gas-phase mercury box model output assuming that <strong>HgI forms at half the rate as HgBr</strong> and that the Hg-I bond strength is <strong>11 kcal / mol</strong>, using <strong>HgBr</strong> as reference for the B-value in the HgI equilibrium coefficient.</p> <p><strong>file52</strong> contains a profile of the gas-phase mercury box model output assuming that <strong>HgI forms at the same rate as HgBr</strong> and that the Hg-I bond strength is <strong>8 kcal / mol</strong>, using <strong>HgBr</strong> as reference for the B-value in the HgI equilibrium coefficient.</p> <p><strong>file53</strong> contains a profile of the gas-phase mercury box model output assuming that <strong>HgI forms at the same rate as HgBr</strong> and that the Hg-I bond strength is <strong>9.5 kcal / mol</strong>, using <strong>HgBr</strong> as reference for the B-value in the HgI equilibrium coefficient.</p> <p><strong>file54</strong> contains a profile of the gas-phase mercury box model output assuming that <strong>HgI forms at the same rate as HgBr</strong> and that the Hg-I bond strength is <strong>11 kcal / mol</strong>, using <strong>HgBr</strong> as reference for the B-value in the HgI equilibrium coefficient.</p> <p><strong>file55</strong> contains a profile of the gas-phase mercury box model output assuming that <strong>HgI forms at twice the rate as HgBr</strong> and that the Hg-I bond strength is <strong>8 kcal / mol</strong>, using <strong>HgBr</strong> as reference for the B-value in the HgI equilibrium coefficient.</p> <p><strong>file56</strong> contains a profile of the gas-phase mercury box model output assuming that <strong>HgI forms at twice the rate as HgBr</strong> and that the Hg-I bond strength is <strong>9.5 kcal / mol</strong>, using <strong>HgBr</strong> as reference for the B-value in the HgI equilibrium coefficient.</p> <p><strong>file57</strong> contains a profile of the gas-phase mercury box model output assuming that <strong>HgI forms at twice the rate as HgBr</strong> and that the Hg-I bond strength is <strong>11 kcal / mol</strong>, using <strong>HgBr</strong> as reference for the B-value in the HgI equilibrium coefficient.</p>
Relationship between decay resistance and moisture properties in wood modified with phenol formaldehyde and sorbitol-citric acid
<p>This dataset contains measurement data from the following publication: Belt, T.; Kyyrö, S.; Kilpinen, A. T. (2023) Relationship between decay resistance and moisture properties in wood modified with phenol formaldehyde and sorbitol-citric acid. Journal of Materials Science, 10.1007/s10853-023-08874-w. Small samples of Scots pine sapwood were modified using different concentrations of phenol formaldehyde (2.5, 5, 10, 20 and 30% resin solids content) and sorbitol-citric acid (5, 10, 20, 30 and 40% resin solids content) and then exposed to brown rot decay by <em>Coniophora puteana</em> and <em>Rhodonia placenta</em>. Sample masses and dimensions were measured at different points to determine their weight gain, anti-swelling efficiency and moisture exclusion efficiency due to modification, their mass loss due to decay and their moisture content at the end of the decay test. Fluorescence images were collected from decayed and control samples after the decay test. Further details on the experimental procedures can be found in the publication. </p> <p>The "Sample IDs and measurement data.csv" -file contains the sample IDs and all measured dimensions and mass data for every sample. Areas A<sub>dry0</sub>, Ad<sub>ry1</sub>, A<sub>wet</sub>, and A<sub>dry2</sub> are the cross-sectional areas of the samples in the dry state before modification, in the dry state after modification and before leaching, in the wet state during leaching, and in the dry state after leaching, respectively. Masses m<sub>dry0</sub>, m<sub>dry1</sub>, m<sub>dry2</sub>, m<sub>RH85</sub>, m<sub>wet</sub>, and m<sub>dry3</sub> are the masses of the samples in the dry state before modification, in the dry state after modification and before leaching, in the dry state after leaching, in the conditioned state at RH 85%, in the wet state at the end of the decay test, and in the dry state after the decay test, respectively.</p> <p>The "Fluorescence images" -folder contains fluorescence images collected from the samples. The image files are named according to the ID of the imaged sample, followed by additional tags. The samples modified using phenol formaldehyde were imaged using both green and UV excitation, and the file names contain the tag "green" or "UV" to denote the used excitation wavelengths. For all samples, the sample ID (and the excitation tag) are followed by a number to differentiate replicate images collected from the sample. </p>
ECHAM5/MESSy v2.53.0 model (EMAC) formic acid and formaldehyde (2010-2012)
<p>The dataset includes netcdf files with daily and montly averaged formic acid (HCOOH), formaldehyde (HCHO) and methanediol (HOCH2OH) volume mixing ratio profiles, along with ancillary data (e.g., pressure), simulated by the chemistry-climate model ECHAM5/MESSy v2.53.0 (EMAC) over 2010-2012. The monthly averaged data files also include the carbon monoxide (CO) volume mixing ratio profiles and the yield of CO from methane (CH4) oxidation. The data are available on a T63 horizontal grid, i.e. with a spherical truncation of T63 (corresponding to a quadratic Gaussian grid of approximately 1.9° by 1.9°), with 31 vertical hybrid levels. Three simulations are provided: 1) EMAC(base) is a reference simulation, 2-3) EMAC(dioh) and EMAC(diol) are simulations with explicit cloud chemistry of formaldehyde.</p> <p>The Modular Earth Submodel System (MESSy) is continuously further developed and applied by a consortium of institutions. The usage of MESSy and access to the source code is licensed to all affiliates of institutions which are members of the MESSy Consortium. Institutions can become a member of the MESSy Consortium by signing the MESSy Memorandum of Understanding. More information can be found on the MESSy Consortium Web-site (<a href="http://www.messy-interface.org">http://www.messy-interface.org</a>). The modifications used to produce this dataset have been implemented based on MESSy v2.53.0. The exact source code used to produce the results is archived at the Jülich Supercomputing Centre (JSC) in Jülich and can be made available to members of the MESSy community upon request.</p> <p>We encourage anyone who wants to use this dataset to contact the main developer Domenico Taraborrelli (d.taraborrelli@fz-juelich.de).</p>
Model and observational datasets used for evaluating CHASER simulated formaldehyde (HCHO) abundances in 2019 and 2020.
<p>The dataset entails the model simulation results and the observational data (satellite, aircraft, and ground-based MAX-DOAS) used for the study titled " Evaluating CHASER V.40 global formaldehyde (HCHO) simulations using satellite aircraft and ground-based remote sensing observations", submitted for peer-review in JGR: Atmospheres. </p>
Infrared Spectra and Optical Constants of Amorphous Isocyanic Acid, Formaldehyde, and Formic Acid
<p>Infrared spectra and optical constants from Hudson et al., 2024, ApJ 977 (1), 130. DOI: 10.3847/1538-4357/ad8c43</p>
Theory-guided development of homogeneous catalysts for the reduction of CO2 to formate, formaldehyde, and methanol derivatives
<p>The stepwise catalytic reduction of carbon dioxide (CO<sub>2</sub>) to formic acid, formaldehyde, and methanol opens non-fossil pathways to important platform chemicals. The present article aims at identifying molecular control parameters to steer the selectivity to the three distinct reduction levels using organometallic catalysts of earth-abundant first-row metals. A linear scaling relationship was developed to map the intrinsic reactivity of 3d transition metal pincer complexes to their activity and selectivity in CO<sub>2</sub> hydrosilylation. The hydride affinity of the catalysts was used as a descriptor to predict activity/selectivity trends in a composite volcano picture, and the outstanding properties of cobalt complexes bearing bis(phosphino)triazine PNP-type pincer ligands to reach the three reduction levels selectively under different reaction conditions could thus be rationalized. The implications of the composite volcano picture were successfully experimentally validated with selected catalysts, and the challenging intermediate level of formaldehyde could be accessed in over 80% yield with the cobalt complex <strong>6</strong>. The results underpin the potential of tandem computational-experimental approaches to propel catalyst design for CO<sub>2</sub>-based chemical transformations.</p>
Data from: Preparation of Pt and bamboo charcoal co-modified TiO2 for formaldehyde sensing at room temperature
<p>Anatase TiO<sub>2</sub> has evolved to be one of the most attractive materials for gas sensing due to its strong oxidation activity and excellent sensing properties. In this study, we prepared a Pt and bamboo charcoal co-modified nano-TiO<sub>2</sub> using one-pot hydrothermal process and applied it for detection of formaldehyde. The successful incorporation of precious metal Pt and bamboo charcoal onto TiO<sub>2</sub> was confirmed by SEM, TEM, EDS, XRD, and XPS. These modifiers significantly improved the response of TiO<sub>2</sub> to formaldehyde, e.g., the response signal increased by 4 times, while the response time decreased from 91.05 to 67.76 s. The sample with 0.5@Pt and 0.5@C bamboo charcoal performed the best. Our work showed the potential of using biomass-derived carbon to improve the detection of formaldehyde.</p>
anti-phospho-SMAD1/5 antibody can recognize formaldehyde-fixed epitope
<p>Determining whether anti-phospho-SMAD1-5 and anti-phospho-SMAD2 antibodies can recognize formaldehyde-fixed epitopes</p>
Chemical imaging data collected on wood board sections after impregnation-treatment with phenol formaldehyde resin
<p>This dataset contains UV microspectrophotometry (UMSP) and near infrared (NIR) imaging data from the following publication: Altgen M., Awais M. Altgen D., Klüppel A., Koch G., Mäkelä M., Olbrich A., Rautkari L. (2022) Chemical imaging to reveal the resin distribution in impregnation-treated wood at different spatial scales. Materials & Design, DOI: <a href="https://doi.org/10.1016/j.matdes.2022.111481">https://doi.org/10.1016/j.matdes.2022.111481</a>.</p> <p>The data was obtained from beech wood board sections (75x15x25 mm<sup>3</sup>) that were impregnation-treated with a low molecular weight phenol formaldehyde resin. Experimental details can be found in the publication.</p> <p>The file “NIR sample IDs with weight and dimensional changes.csv” contains the sample IDs and the weight percent gains caused by the resin treatment of each sample in the dataset. To generate the NIR image files, regions of interest of 881 x 384 pixels (subsets a,b,c,d) or 2401 x 375 pixels were selected from the raw image files to produce an image that contains the sample surrounded by background. The spectral data was corrected using the calibration reflectance target values and then converted to absorbance. Each NIR image is stored in a separate MATLAB file (.mat) with the sample ID as the file name.</p> <p>The file "UMSP sample IDs.csv" contains the sample IDs of the UMSP images. The folder "UMSP image profiles.zip" contains the corresponding UMSP image profiles, which are stored as excel files (.xlsx) with the sample IDs as file names. The files contain the absorbance at 278 nm per pixel with a pixel resolution of 0.25 x 0.25 µm<sup>2</sup>.</p>
Chemical imaging data collected on small wood cubes after impregnation-treatment with phenol formaldehyde resin
<p>This dataset contains UV microspectrophotometry (UMSP) and near infrared (NIR) imaging data from the following publication: Altgen M., Awais M. Altgen D., Klüppel A., Koch G., Mäkelä M., Olbrich A., Rautkari L. (2022) Chemical imaging to reveal the resin distribution in impregnation-treated wood at different spatial scales. Materials & Design, DOI: <a href="https://doi.org/10.1016/j.matdes.2022.111481">https://doi.org/10.1016/j.matdes.2022.111481</a>.</p> <p>The data was measured on small beech wood cubes (15x15x15 mm<sup>3</sup>) that were impregnation-treated with a low molecular weight phenol formaldehyde resin. Experimental details can be found in the publication.</p> <p>The file “NIR sample IDs with weight and dimensional changes.csv” contains the sample IDs as well as the weight percent gains and dimensional changes caused by the resin treatment of each sample in the dataset. To generate the NIR image files, a region of interest of 881 x 384 pixels was selected from the raw image files to produce an image that contains the sample surrounded by background. The spectral data was corrected using the calibration reflectance target values and then converted to absorbance. Each NIR image is stored in a separate MATLAB file (.mat) with the sample ID as the file name.</p> <p>The file "UMSP sample IDs.csv" contains the sample IDs of the UMSP images. The folder "UMSP image profiles.zip" contains the corresponding UMSP image profiles, which are stored as excel files (.xlsx) with the sample IDs as file names. The files contain the absorbance at 278 nm per pixel with a pixel resolution of 0.25 x 0.25 µm<sup>2</sup>.</p>
Data from: Insights into summertime surface ozone formation from diurnal variations in formaldehyde and nitrogen dioxide along a transect through New York City
Open the record for dataset details and reuse information.
Data from: Preparation of Pt and bamboo charcoal co-modified TiO2 for formaldehyde sensing at room temperature
Open the record for dataset details and reuse information.
ECHAM5/MESSy v2.53.0 model (EMAC) formaldehyde along the AURA satellite overpass (2010-2012)
<p>The dataset includes netcdf files with daily formaldehyde (HCHO) volume mixing ratio profiles and ancillary data (e.g., pressure) simulated by the chemistry-climate model ECHAM5/MESSy v2.53.0 (EMAC) over 2010-2012. The data are available on a T63 horizontal grid, i.e. with a spherical truncation of T63 (corresponding to a quadratic Gaussian grid of approximately 1.9° by 1.9°), with 31 vertical hybrid levels.The model outputs are sampled along the Sun-synchronous satellite AURA orbits at the time and location of the OMI measurements. Three simulations are provided: 1) EMAC(base) is a reference simulation, 2-3) EMAC(dioh) and EMAC(diol) are simulations with explicit cloud chemistry of formaldehyde.</p> <p>The Modular Earth Submodel System (MESSy) is continuously further developed and applied by a consortium of institutions. The usage of MESSy and access to the source code is licensed to all affiliates of institutions which are members of the MESSy Consortium. Institutions can become a member of the MESSy Consortium by signing the MESSy Memorandum of Understanding. More information can be found on the MESSy Consortium Web-site (<a href="http://www.messy-interface.org">http://www.messy-interface.org</a>). The modifications used to produce this dataset have been implemented based on MESSy v2.53.0. The exact source code used to produce the results is archived at the Jülich Supercomputing Centre (JSC) in Jülich and can be made available to members of the MESSy community upon request.</p> <p>We encourage anyone who wants to use this dataset to contact the main developer Domenico Taraborrelli (d.taraborrelli@fz-juelich.de).</p>
Data and code for "Ambient Formaldehyde over the United States from Ground-Based (AQS) and Satellite (OMI) Observations"
<p>This file contains data and code in the study entitled "Ambient Formaldehyde over the United States from Ground-Based (AQS) and Satellite (OMI) Observations" in the journal <em>Remote Sensing</em>. </p>
Dataset for publication: Sustainable electrochemical synthesis of dry formaldehyde from anhydrous methanol
<p>The provided data contains the calculations and plots of the manuscript 'Selective electrocatalytic oxidation of anhydrous methanol for formaldehyde'. All experimental procedures and an in-depths analysis can be found there. (DOI: 10.1039/D3GC04978G). The data is available in .opju files (origin plots), .xlsx files (excel sheets for calculations) and both are available in the .csv format. The calculation sheets also contain the name of the corresponding raw data file.</p>
Thermodynamic modelling of the nature of speciation and phase behavior of binary and ternary mixtures of formaldehyde, water and methanol
<p>Data underlying the journal article titled "Thermodynamic modelling of the nature of speciation and phase behavior of binary and ternary mixtures of formaldehyde, water and methanol" published in the Journal of Molecular Physics </p>
Studying Blood Toxicity in Workers Exposed to Formaldehyde
ClinicalTrials.gov study NCT01547858. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Association of Formaldehyde Exposure to Myeloid Leukemia in Workers in Guangdong, China
ClinicalTrials.gov study NCT01338285. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Calculated data from Thermodynamic modelling of the nature of speciation and phase behaviour of binary and ternary mixtures of formaldehyde, water and methanol. MolPhys 2023
<p>Calculated data in the figures of the publication. </p>
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