MassIVE MSV000090537

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An actionable annotation scoring framework for gas chromatography-high-resolution mass spectrometry - Natural Gas Transfer Station GC-HRMS Data

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Description

This is one of the validation datasets which goes with the manuscript published in Exposome titled an actionable annotation scoring framework for gas chromatography high resolution mass spectrometry. The dataset describes indoor and outdoor air samples collected using passive samplers from homes near natural gas compressor stations. [doi:10.25345/C5MS3K59S] [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: Orbitrap ; Transfer Station ; Fracking ; Exposomics ; Scoring Framework ; GCHRMS

Contact

Principal Investigators:
(in alphabetical order) 		Jonathan Martin, Stockholm University, Sweden
Krystal Pollitt, Yale University, USA
Submitting User: jeremykoelmel
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Originally identified proteins that were automatically remapped by MassIVE to proteins in the SwissProt human reference database.

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Number of distinct proteins quantified across all analyses (original submission and reanalyses) associated with this dataset.

Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

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Number of distinct proteins found to be differentially abundant in at least one comparison across all analyses (original submission and reanalyses) associated with this dataset.

A protein is differentially abundant if its change in abundance across conditions is found to be statistically significant with an adjusted p-value <= 0.05 and lists no issues associated with statistical tests for differential abundance.

Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

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