Summary of Study ST002511

This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org, where it has been assigned Project ID PR001621. The data can be accessed directly via it's Project DOI: 10.21228/M85M6X This work is supported by NIH grant, U2C- DK119886.

See: https://www.metabolomicsworkbench.org/about/howtocite.php

This study contains a large results data set and is not available in the mwTab file. It is only available for download via FTP as data file(s) here.

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Study IDST002511
Study TitleEnhanced niche colonization and competition during bacterial adaptation to a fungus
Study TypeFungal / bacterial interaction
Study SummaryEnhanced niche 1 colonization and competition during bacterial adaptation to a fungus
Institute
Netherlands Institute of Ecology
DepartmentMicrobial Ecology
Last NameTyc
First NameOlaf
AddressDroevendaalsesteeg 10, 6708 PB Wageningen, The Netherlands
EmailOlaf.Tyc@kgu.de
Phone+496963018046
Submit Date2023-03-16
Raw Data AvailableYes
Raw Data File Type(s)mzML
Analysis Type DetailGC-MS
Release Date2023-04-04
Release Version1
Olaf Tyc Olaf Tyc
https://dx.doi.org/10.21228/M85M6X
ftp://www.metabolomicsworkbench.org/Studies/ application/zip

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Combined analysis:

Analysis ID AN004135
Analysis type MS
Chromatography type GC
Chromatography system Agilent 7890B
Column Restek Rtx-5Sil MS (30m x 0.25mm, 0.25um)
MS Type EI
MS instrument type QTOF
MS instrument name Agilent 7200 QTOF
Ion Mode POSITIVE
Units m/z

MS:

MS ID:MS003882
Analysis ID:AN004135
Instrument Name:Agilent 7200 QTOF
Instrument Type:QTOF
MS Type:EI
MS Comments:The volatile organic compounds were ionized in EI mode at eV and mass spectra were acquired in full-scan-mode (30–400 U @ 5 scans/s). Mass-spectra were extracted with MassHunter Qualitative Analysis Software V B.06.00 Build 6.0.633.0 (Agilent Technologies, Santa Clara, USA). The obtained mass spectra were transformed to netCDF files and imported into MZmine V2.20 (Copyright © 2005-2012) MZmine Development Team) (Pluskal et al., 2010). Compounds were identified via their mass spectra using deconvolution function and local-minimum search algorithm in combination with two mass-spectral-libraries: NIST 2014 V2.20 (National Institute of Standards and Technology, USA http://www.nist.gov) and Wiley 7th edition spectral libraries and by their linear retention indexes (LRI). The LRI values were calculated by using AMDIS 2.72 (National Institute of Standards and Technology, USA). After deconvolution and mass identification peak lists containing the mass features of each treatment were exported as csv file format for further analysis.
Ion Mode:POSITIVE
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