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124 results for “methanol”
Data from: Role of mass transport in electrochemical carbon dioxide reduction to methanol using immobilized cobalt phthalocyanine
<p><strong>Cell files.zip</strong></p><ul><li>.dwg files of the pocket for the cathode and anode chamber. </li><li>.dwg files of the gasket design</li></ul><p><strong>Experimental data.zip</strong> (>60 experiments)</p><ul><li>Chronoamperometry data</li><li>Each experiment has a mpr and txt file. The .mpr file can be read by EC-lab software, while the txt file has the raw data.</li><li>H-NMR data</li><li>Each experiment has its own folder, then another folder with the experiment number. Within that experiment number folder is .fid file needed to view the H-NMR data. </li><li>Gas Chromatography data </li><li>Each experiment has its own folder. the files can be opened using SRI proprietary software. There are also .log files which contain the results of each experiment as the raw data. </li></ul>
Data set for the journal article "Surface Intermediates in In-Based ZrO2-Supported Catalysts for Hydrogenation of CO2 to Methanol"
<p>Raw data for the article " Surface Intermediates in In-Based ZrO<sub>2</sub>-Supported Catalysts for Hydrogenation of CO<sub>2</sub> to Methanol", already published in the Journal of Physical Chemistry C, DOI: <a href="https://doi.org/10.1021/acs.jpcc.1c08814">https://doi.org/10.1021/acs.jpcc.1c08814</a></p> <p>Folder names describe the type of data content. All details concerning conditions and equipment for measurements can be found in the main text and supporting information of the article.</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>
Fig. 5 in Cytotoxicity of methanolic extract of Swertia petiolata against gastric cancer cell line SNU-5 is via induction of apoptosis ⁎
Fig. 5. Mitochondrial membrane potential (MMP %) of SNU-5 cells treated with indicated concentration of methanolic extract of plant for 48 h. The S. petiolata methanolic extracttreated SNU5 cells showed induction of MMP loss in a dose dependent manner.
Fig. 2. SNU5 in Cytotoxicity of methanolic extract of Swertia petiolata against gastric cancer cell line SNU-5 is via induction of apoptosis ⁎
Fig. 2. SNU5 cells were treated with indicated concentrations of methanolic extract of S. petiolata for 48 h and cells were prolonged for clonogenic assay for 21 days. The extract-treated SNU5 cells showed decrease in the percentage of colony formation as compared to control in a dose-dependent manner.
Fig. 1. SNU5 in Cytotoxicity of methanolic extract of Swertia petiolata against gastric cancer cell line SNU-5 is via induction of apoptosis ⁎
Fig. 1. SNU5 cells were treated with indicated concentration of methanolic extract of S. petiolata for 48 h. The extract-treated SNU5 cells showed nuclear condensation and marked fragmented in a dose dependent manner.
Fig. 3 in Cytotoxicity of methanolic extract of Swertia petiolata against gastric cancer cell line SNU-5 is via induction of apoptosis ⁎
Fig. 3. Cells were treated with different concentrations (a) control (b) 50 (c) 100 and (d) 150 μg/ml of extract for 48 h wherein apoptosis enhanced in a dose dependent manner as shown by flow cytometer using Annexin V/PI.
Fig. 4 in Cytotoxicity of methanolic extract of Swertia petiolata against gastric cancer cell line SNU-5 is via induction of apoptosis ⁎
Fig. 4. Production of ROS (%) SNU-5 cells treated with indicated concentration of methanolic extract of plant for 48 h. The S. petiolata methanolic extract-treated SNU5 cells showed the production of reactive oxygen species generated in a dose dependent manner.
Fig. 7 in Cytotoxicity of methanolic extract of Swertia petiolata against gastric cancer cell line SNU-5 is via induction of apoptosis ⁎
Fig. 7. Structures of the compounds tentatively identified from the methanolic extract of S. petiolata, (i) Chlorogenic acid (ii) p-Coumaric acid (iii) Ursolic acid (iv) Myrecetin 3-O- rahamnoside (v) Quercetin 3-arabinoside (vi) Kaempherol 3-O-glucoside (vii) Naringenin (viii) Genistein (ix) Isorhamnetin (x) Swerchirin.
Supplementary material for: Cytotoxic properties of free and nano-encapsulated methanolic extracts of Ganoderma mushrooms
<p>These are data and supplementary materials for the manuscript "<span>Cytotoxic properties of free and nano-encapsulated methanolic extracts of <em>Ganoderma</em> mushrooms"</span></p>
Supplementary data for "Beyond radical-rebound: Methane oxidation to methanol catalyzed by iron species in metal–organic framework nodes"
<p>Cartesian coordinates in the *.XYZ format for all the structures optimized at the M06-L/def2-TZVP in the reactivity study as part of the article "Beyond radical-rebound: Methane oxidation to methanol catalyzed by iron species in metal-organic framework nodes" (<a href="https://doi.org/10.1021/jacs.1c04766">https://doi.org/10.1021/jacs.1c04766</a>)</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>
Supplementary data as part of the article "Comparing the reaction profiles of single-iron catalytic sites in enzymes and in reticular frameworks for methane-to-methanol oxidation" (https://doi.org/10.1016/j.xcrp.2023.101422)
<p>Cartesian coordinates in the *.XYZ format for all the structures optimized at the M06-L/def2-TZVP in the reactivity study as part of the article "Comparing the reaction profiles of single-iron catalytic sites in enzymes and in reticular frameworks for methane-to-methanol oxidation" (<a href="https://doi.org/10.1016/j.xcrp.2023.101422">https://doi.org/10.1016/j.xcrp.2023.101422</a>)</p>
Data set for the journal article "Hydrogen dissociation sites on indium-based ZrO2-supported catalysts for hydrogenation of CO2 to methanol"
<p>Raw data for the article " Hydrogen dissociation sites on indium-based ZrO2-supported catalysts for hydrogenation of CO2 to methanol", already published in Catalysis Today, DOI: https://doi.org/10.1016/j.cattod.2021.04.010</p> <p>Folder names describe the type of data content. All details concerning conditions and equipment for measurements can be found in the main text and supporting information of the article.</p>
Design of Flame-Made ZnZrOx Catalysts for Sustainable Methanol Synthesis from CO2
<p>Data set for publication entitled Design of Flame-Made ZnZrOx Catalysts for Sustainable Methanol Synthesis from CO2</p>
Methanol Poisoning
ClinicalTrials.gov study NCT06931587. IPD Sharing: YES. Countries: 1. Publications: 1.
Data from: The guiding role of pre-coking on the coke deposition over ZSM-5 in methanol to propylene
Deposition of carbonaceous compounds was used to improve the propylene selectivity of ZSM-5 by deactivating some acid sites meanwhile maintaining the high activity for methanol conversion. The carbonaceous species of pre-coked samples before and after MTP reactions were investigated by elementary analysis and Thermo Gravimetric Analyzer (TGA). The results showed that pre-coke formed at low temperature (250 ℃) was unstable and easily to transform into polyaromatics species at the high reacting temperature. While combing 5% pre-coking process with 95% stream treatment at high temperature (480 ℃) was effective in inhibiting the formation of coke deposits and presented an significant improvement in the propylene selectivity.
Process exploration and assessment for the production of methanol and dimethyl ether from carbon dioxide and water
<p>A thermodynamic, model-based, study was carried out to assess the relative performance of methanol and<br> dimethyl ether (DME) synthesis systems using CO- and CO2-based syngas feeds. The upstream production<br> of a range of syngas feed compositions was simulated using CO2 and H2O as the sole chemical building<br> blocks, a requirement motivated by the increasing constraints on permissible CO2 emissions and the<br> successful adaptation by some industrial methanol plants to the direct utilisation of CO2. The objective<br> was to establish whether the energy requirements and CO2 emissions associated with upstream<br> conversion of CO2 to CO were justified by increased productivity in the methanol/DME systems. In the<br> first part of the study, the performance of four systems was evaluated and compared in terms of energy<br> efficiency and CO2 conversion: (1) methanol synthesis system, (2) direct DME synthesis system, (3) twostep<br> DME synthesis system with an interposed syngas separation step between the methanol production<br> reactor and methanol dehydration reactor and (4) two-step DME synthesis system with no separation<br> step between the two reactors. Based on equilibrium yields at 250 oC and 50 bar, the direct DME<br> synthesis system was found to exhibit the highest energy conversion efficiencies with both CO2- and<br> CO-based syngas. Although this system demonstrated the lowest CO2 emissions per methanol<br> equivalent product with a CO-based feed, the benefits were offset by emissions associated with the<br> upstream conversion of H2O and CO2 to H2 and CO, evaluated in the second part of the study. It was<br> determined that CO2 could be utilised directly in the direct DME synthesis route, whereas upstream<br> conversion of CO2 to CO was necessary to achieve effective yields in the methanol/two-step DME<br> systems. CO-based syngas production via high temperature co-electrolysis of H2O and CO2, or<br> alternatively high temperature CO2 electrolysis coupled with the water–gas shift process, was identified<br> as the best technology based on energy consumption and CO2 utilisation.</p>
Figure 4 from: Warsi W, Jaswir I, Ahmed QU, Mahfudh N, bin Mohd. Nawi MS, Rohman A, Khatib A (2024) Morphological, teratogenic and behavioral evaluations of Gelidium spinosum methanol extract on zebrafish embryos. Pharmacia 71: 1-10. https://doi.org/10.3897/pharmacia.71.e109918
Figure 4 Teratogenic effects of various doses of GsME in zebrafish embryos. A. Normal embryo; B. 250 mg/L; C. 30 mg/L; D. 125 mg/L; E. Normal control; F–I. 62.5 mg/L.
Figure 2 from: Warsi W, Jaswir I, Ahmed QU, Mahfudh N, bin Mohd. Nawi MS, Rohman A, Khatib A (2024) Morphological, teratogenic and behavioral evaluations of Gelidium spinosum methanol extract on zebrafish embryos. Pharmacia 71: 1-10. https://doi.org/10.3897/pharmacia.71.e109918
Figure 2 The LC50 and EC50 of GsME in zebrafish embryos: 1 dpf (A), 2 dpf (B), 3 dpf (C), 4 dpf (D).
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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.