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.
Study ID | ST002511 |
Study Title | Enhanced niche colonization and competition during bacterial adaptation to a fungus |
Study Type | Fungal / bacterial interaction |
Study Summary | Enhanced niche 1 colonization and competition during bacterial adaptation to a fungus |
Institute | Netherlands Institute of Ecology |
Department | Microbial Ecology |
Last Name | Tyc |
First Name | Olaf |
Address | Droevendaalsesteeg 10, 6708 PB Wageningen, The Netherlands |
Olaf.Tyc@kgu.de | |
Phone | +496963018046 |
Submit Date | 2023-03-16 |
Raw Data Available | Yes |
Raw Data File Type(s) | mzML |
Analysis Type Detail | GC-MS |
Release Date | 2023-04-04 |
Release Version | 1 |
Select appropriate tab below to view additional metadata details:
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 |