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ShareScore release 0.9.0
Dataset results
11 results for “LCMS”
Modulation of the Tomato Fruit Metabolome by LED Light (GCMS and LCMS datasets)
<p>Metabolic profiles of tomatoes change during ripening and light can modulate the activity of relevant biochemical pathways. We investigated the effects of light directly supplied to the fruits, on the metabolome of the fruit pericarp during ripening. Mature green tomatoes were exposed to well-controlled conditions with light as the only varying factor; control fruits were kept in darkness. In Experiment 1 the fruits were exposed to either white light or darkness for 15 days. In Experiment 2 fruits were exposed to different light spectra (blue, green, red, far-red, white) added to white background light for 7 days. Changes in the global metabolome of the fruit pericarp were monitored using LCMS and GCMS (554 compounds in total). Health-beneficial compounds (carotenoids, flavonoids, tocopherols and phenolic acids) accumulated faster under white light compared to darkness, while alkaloids and chlorophylls decreased faster. Light also changed the levels of taste-related metabolites including glutamate and malate. The light spectrum treatments indicated that the addition of blue light was the most effective treatment in altering the fruit metabolome. We conclude that light during ripening of tomatoes can have various effects on the metabolome and may help shaping the levels of key compounds involved in various fruit quality characteristics.</p>
Tandem Mass Spectrometry Data (LCMS-2) from Microalgal Co-culture of Skeletonema marinoi and Prymnesium parvum
<p>The mzML files in this dataset are the Liquid Chromatography Tandem Mass Spectrometry (LCMS-2) data files, derived from the RAW MS-2 files using GNPS file convertor. These files contain unprocessed features fragmented features from the MS-1 data files available as <10.5281/zenodo.10143127> acquired from the monocultures (single species: <em>Skeletonema marinoi</em> and <em>Prymnesium parvum</em> separately) and co-culture conditions of (<em>Skeletonema marinoi</em> and <em>Prymnesium parvum</em>). These files are used for structure annotations. </p> <p>The results of metabolomics annotation are available on Zenodo with DOI: 10.5281/zenodo.10143554</p>
Liquid Chromatography Mass Spectrometry Data (LCMS-1) from Microalgal Co-culture of Skeletonema marinoi and Prymnesium parvum
<p>The mzML files in this dataset are the Liquid Chromatography Mass Spectrometry Data (LCMS-1) data files, derived from the RAW MS files using GNPS file convertor. These files contain unprocessed features acquired from the monocultures (single species: <em>Skeletonema marinoi</em> and <em>Prymnesium parvum</em> separately) and co-culture conditions of (<em>Skeletonema marinoi</em> and <em>Prymnesium parvum</em>). The microalgae were grown in co-culture chambers, so the naming convention A, and B refer to the two sides of the chamber. So, 1a and 1b are <em>S. marinoi</em> monocultures, but 11a and 11b refer to s. marinoi and <em>P. parvum</em> respectively.</p> <p>The results of metabolomics data analysis are available on Zenodo with DOI: 10.5281/zenodo.10143554</p>
NPOmix LCMS files for version 1.0, part 3.
<p>LCMS files to run example in the GitHub repository: https://github.com/tiagolbiotech/NPOmix_python. This is the part 3.</p>
LCMS chromatogram: phenolic compounds
<p>Supplementary material for the article </p> <p><strong>Authenticity of wines produced from ‘Frankovka’ grape variety originating in the Modré hory region (Czech Republic) </strong></p>
Modulation of the Tomato Fruit Metabolome by LED Light (GCMS and LCMS datasets)
Open the record for dataset details and reuse information.
NPOmix LCMS files for version 1.0, part 4.
<p>LCMS files to run example in the GitHub repository: https://github.com/tiagolbiotech/NPOmix_python. This is the part 4.</p>
NeatMS LCMS data
<p>LCMS data acquired following Biocrates P400 kit standard protocol on an Agilent 1290 coupled with a Thermo QExactive instrument.</p> <p>Dataset 1 and 2 in .mzML format used in NeatMS manuscript.</p> <p>Dataset 1 is a collection of 20 quality control samples from the Biocrates P400 kit consisting of 80 chemical standards at proprietary concentrations in a lyophilized plasma matrix.</p> <p>Dataset 2 is dilution series based on the Biocrates kit calibration sample "Cal 1". Dataset 2 contains a total of 39 sample files (three replicates for each dilution point).</p>
NPOmix LCMS files for version 1.0, part 1.
<p>LCMS files to run example in the GitHub repository: https://github.com/tiagolbiotech/NPOmix_python. This is the part 1.</p>
LCMS data of Oyster Mushroom (Pleurotus ostreatus) Extract
<p>LCMS data and Total Chromatogram of Oyster Mushroom (Pleurotus ostreatus) Extract</p>
LCMS-Based Metabolic Analysis Explores the Effect of American Ginseng on Urine and Plasma in Healthy Individuals
ClinicalTrials.gov study NCT07252362. IPD Sharing: NO. Countries: 1. Publications: 0.
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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.