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124 results for “methanol”

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zenodo28/100

Features detected in methanolic extracts of marine invertebrates.

<p>Data table.</p>

opencc-by-4.0Aug 2022View details →
zenodo28/100

Methanol (CH3OH), acetylene (C2H2), and propylene (C3H6) point-sources detected by the IASI infrared satellite instrument (2007-2023).

<p>This dataset includes the super-sampled IASI 0.01&deg; &times; 0.01&deg; CH3OH, C2H2, C3H6, and SO2 HRI dataset in GeoTIFF format and the catalogue of identified and categorized point-sources of CH3OH, C2H2, and C3H6 in kml format.&nbsp;The oversampling, wind rotation and supersampling prorcedure and codes are available in the paper of Clarisse&nbsp;<em>et al.</em>&nbsp;(2019) at&nbsp;<a href="https://doi.org/10.5194/amt-12-5457-2019">https://doi.org/10.5194/amt-12-5457-2019</a>.</p>

opencc-by-4.0Jul 2024View details →
zenodo28/100

Fig. 6 in Cytotoxicity of methanolic extract of Swertia petiolata against gastric cancer cell line SNU-5 is via induction of apoptosis ⁎

Fig. 6. LC–MS chromatogram of methanolic extract of S. petiolata.

opennotspecifiedMar 2017View details →
zenodo28/100

Table 2 in Cytotoxicity of methanolic extract of Swertia petiolata against gastric cancer cell line SNU- 5 is via induction of apoptosis ⁎

<p><b>Table 2</b> LC&ndash;MS identification of major constituents of methanolic extract of <i>Swertia petiolata</i>. The retention time peak numbers are as per Fig. 6.</p><table><tbody><tr><th>Peak no.</th><th>Retention time (minutes)</th><th>M-H</th><th>M + H</th><th>Molecular weight</th><th>Compound</th></tr></tbody><tbody><tr><th>1</th><td>7.6</td><td>355</td><td>&ndash;</td><td>354</td><td>Chlorogenic acid</td></tr><tr><th>2</th><td>9.9</td><td>163</td><td>165</td><td>164</td><td><i>p</i> -Coumaric acid</td></tr><tr><th>3</th><td>11.2</td><td>&ndash;</td><td>455</td><td>456</td><td>Ursolic acid</td></tr><tr><th>4</th><td>12.4</td><td>&ndash;</td><td>465</td><td>464</td><td>Myrecetin 3- <i>O</i> -rahamnoside</td></tr><tr><th>5</th><td>15.1</td><td>326</td><td>&ndash;</td><td>327</td><td>Unidentified</td></tr><tr><th>6</th><td>15.9</td><td>433</td><td>435</td><td>434</td><td>Quercetin 3-arabinoside</td></tr><tr><th>7</th><td>18.5</td><td>447</td><td>&ndash;</td><td>448</td><td>Kaempherol 3- <i>O</i> -glucoside</td></tr><tr><th>8</th><td>21.3</td><td>271</td><td>273</td><td>272</td><td>Naringenin</td></tr><tr><th>9</th><td>22.4</td><td>269</td><td>&ndash;</td><td>270</td><td>Genistein</td></tr><tr><th>10</th><td>26.2</td><td>315</td><td>&ndash;</td><td>316</td><td>Isorhamnetin</td></tr><tr><th>11</th><td>28.7</td><td>287</td><td>289</td><td>288</td><td>Swerchirin</td></tr></tbody></table>

opennotspecifiedMar 2017View details →
zenodo28/100

Table 1 in Cytotoxicity of methanolic extract of Swertia petiolata against gastric cancer cell line SNU- 5 is via induction of apoptosis ⁎

<p><b>Table 1</b> IC 50 of methanolic extract of <i>S</i>. <i>petiolata</i> against different cancer cell lines determined by MTT assay.</p><table><tbody><tr><th>Cell line</th><th>IC50 (&mu;g/ml)</th></tr></tbody><tbody><tr><th>Human lung cancer cell line A-549</th><td>75</td></tr><tr><th>Human prostate cancer cell line PC-3</th><td>125</td></tr><tr><th>Human breast cancer cell line MCF-7</th><td>75</td></tr><tr><th>Human gastric cancer cell line SNU-5</th><td>64</td></tr><tr><th>Human pancreas cancer cell line MiaPaca-2</th><td>75</td></tr><tr><th>Human normal cell line fR2</th><td>250</td></tr></tbody></table>

opennotspecifiedMar 2017View details →
zenodo28/100

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.&nbsp;</p>

opencc-by-4.0Apr 2023View details →
zenodo28/100

Appendix A: Spectra of nine methanol maser transitions for all observed 408 ATLASGAL sources

<p>This is the full version of&nbsp;Appendix A&nbsp;for the paper:&nbsp;ATLASGAL: 3-mm class I methanol masers in high-mass star formation regions<br> <br> &nbsp;</p>

opencc-by-4.0May 2023View details →
dryad28/100

Data from: The guiding role of pre-coking on the coke deposition over ZSM-5 in methanol to propylene

Open the record for dataset details and reuse information.

publicAug 2019View details →
nasa28/100

MLS/Aura Level 2 Methanol (CH3OH) Mixing Ratio V005 (ML2CH3OH) at GES DISC

At this time it is recommended that these data not be used pending further validation.ML2CH3OH is the EOS Aura Microwave Limb Sounder (MLS) standard product for methanol derived from radiances measured by the 640 GHz radiometer. The data version is 5.0. Data coverage is from August 8, 2004 to current. Spatial coverage is near-global (-82 degrees to +82 degrees latitude), with each profile spaced 1.5 degrees or ~165 km along the orbit track (roughly 15 orbits per day). The recommended useful vertical range is between 147 and 100 hPa, and the vertical resolution range is about 4-5 km. Users of the ML2CH3OH data product should read section 3.5 of the EOS MLS Level 2 Version 5 Quality Document for more information.The data are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5), which is based on the version 5 Hierarchical Data Format, or HDF-5. Each file contains one swath object (profile data), with a set of data and geolocation fields, swath attributes, and metadata.

restrictednotspecifiedApr 2025View details →
nasa28/100

TES/Aura L2 Methanol Lite Nadir V007

TL2MTLLN_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Methanol Lite Nadir Version 7 data product. It consists of information for one molecular species for an entire Global Survey or Special Observation. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. The TES Lite products were intended to simplify TES data usage including data/model and data/data comparisons. This product can be used for science analysis as each data product is fully characterized. The TES Lite products were also meant to facilitate use of TES data by end users by (1) aggregating product results by month (no averaging is applied), (2) reducing data dimensionality to the retrieved pressure levels, which results in a minimal reduction of information but reduces data sizes by 1/3 to 1/10, (3) applying known corrections quantified through validation campaigns (4) combining data from ancillary files and multiple TES product files that are needed for science analysis (particularly for CH4 and HDO), and (5) removing fields that are not typically used. For example, the HDO product also includes the H2O product; it contains the recommended bias correction for HDO, results are mapped to 18 pressures, and the averaging kernel and error covariances are packed together from the H2O, HDO, and ancillary individual product files into full matrices for easier use by modelers and for science analysis. The products include the mapping matrix to relate the reduced-size retrieval vectors, covariances, and averaging kernels back to the TES forward model pressure grid to support cross-comparison between products and models. NH3 and CH4 contain Representative Tropospheric volume mixing ratio (RTVMR) fields (Payne et al. , 2009) that map the full profile to levels that are most representative of the atmosphere based on the altitude dependent sensitivity of the estimate.TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations.”A Limb sequence within the TES Global Survey was three high-resolution scans over the same limb locations. The Limb standard product consists of four files, where each file is composed of the Global Survey Limb observations from one of four focal planes for a single orbit, i.e. 72 orbit

restrictednotspecifiedApr 2025View details →
geo24/100

Effect of acute embryonic exposures to tris(4-chlorophenyl)methane and tris(4-chlorophenyl)methanol in the zebrafish

GEO Series GSE165920. Danio rerio. 15 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenSep 2021View details →
geo24/100

Effect of methanol fixation on single cell RNA sequencing of the murine dentate gyrus (droplet-based scRNAseq).

GEO Series GSE241452. Mus musculus. 1 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenSep 2023View details →
geo24/100

Core metabolism shifts of methanol vs. methane growth in the methanotroph Methylomicrobium buryatense 5GB1

GEO Series GSE110541. Methylotuvimicrobium buryatense. 6 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenApr 2019View details →
geo24/100

RNA-seq analysis of methanol-adapted Sporomusa ovata DSM-2662

GEO Series GSE66194. Sporomusa ovata DSM 2662. 6 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenFeb 2016View details →
geo24/100

Transition from succinate to methanol growth in Methylobacterium Extorquens AM1

GEO Series GSE22031. Methylorubrum extorquens AM1. 24 samples. Type: Expression profiling by array.

openGEO-OpenAug 2011View details →
geo24/100

Methanol fixation is the method of choice for droplet-based single-cell transcriptomics of neural cells

GEO Series GSE209947. Homo sapiens. 13 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenMay 2023View details →
geo24/100

Effect of methanol fixation on single cell RNA sequencing of the murine dentate gyrus.

GEO Series GSE232052. Mus musculus. 2 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenSep 2023View details →
geo24/100

Transcriptional differences in Bradyrhizobium sp. USDA 3456 during growth on methanol with La versus succinate with La

GEO Series GSE295604. Bradyrhizobium sp. USDA 3456. 6 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenJun 2025View details →
geo24/100

To identify novel targets of Mxr1p in Pichia pastoris cultured in methanol

GEO Series GSE146829. Komagataella pastoris. 8 samples. Type: Expression profiling by array.

openGEO-OpenSep 2021View details →
geo24/100

Scalable, methanol-free manufacturing of the SARS-CoV-2 receptor binding domain in engineered Komagataella phaffii

GEO Series GSE183408. Komagataella phaffii. 6 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenDec 2021View details →

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dandi-nwb
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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.

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Last verified 2026-04-29Open record

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Last verified 2026-04-29Open record