Lab_27_SOP - Concordant inter-laboratory derived concentrations of ceramides in human plasma reference materials via authentic standards

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Federico Torta;Nils Hoffmann;Bo Burla

Description

Lab_27_SOP - Concordant inter-laboratory derived concentrations of ceramides in human plasma reference materials via authentic standards - mzML filesThis dataset is part of the ILS Ceramide Ring Trial. The suffix 'SOP' indicates that the results were obtained using the recommended and standard operating procedure protocol to prepare and measure all samples, while the suffix 'OTHER' indicates that the corresponding lab prepared and measured the samples according to their own internal protocol. Please check the corresponding mapping file 'ILS-Ceramide-Ring-Trial-Datasets.csv' in the ILS Ceramide Ring Trial record for a mapping of the originally submitted lab reports and the final lab number as reported in the manuscript.All reports together with the code for analysis and visualization, reproducing the figures in the manuscript, are available under the following doi: https://zenodo.org/doi/10.5281/zenodo.10081970. This links to releases of the following GitHub repository: https://github.com/lifs-tools/ils-ceramide-ring-trial. The archived version of the lab reports, workflow source code and manuscript visualizations are also available here.Please note that most datasets have been acquired in MRM mode, such that the msconvert conversion to mzML has stored the MRM data in the chromatogram part of the mzML files. The msconvert Docker container (Proteowizard release: 3.0.24172 (63d00b1), build date Jun 202 2024 20:01:14) was used with the native vendor libraries / peak picking for conversion, using default arguments. m/z values were encoded with 64 bit (default), while intensity values were encoded with 32 bit (default). All binary data was zlib-compressed.

Citations (1)

Mentions (0)

Metrics

Dataset Index

2.3

FAIR Score

81%

Citations

1

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Zenodo

Assigned Domain

Subfield

Artificial Intelligence

Field

Computer Science

Domain

Physical Sciences

Confidence Score

42%

Source

Scholar Data Model

Keywords

LipidomicsMass SpectrometryRing Trial

Normalization Factors

FT

13.46

CTw

1.00

MTw

1.00