MassIVE MSV000086931

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GNPS- Influence of drought and wet-up on the soil lipidome (PNNL Soils SFA)

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Description

Paper tentative title: Drought and wet-up causes significant remodeling of the soil lipidome Author list: Sneha Couvillion et al. We used lipidomics to capture the rapid metabolic response of the microbial community in an arid grassland soil to wet-up after a simulated drought. [doi:10.25345/C5K50H] [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: soil lipidomics ; drought ; wet-up

Contact

Principal Investigators:
(in alphabetical order) 		Janet Jansson, Pacific Northwest National Laboratory, N/A
Kirsten Hofmockel, Pacific Northwest National Laboratory, USA
Submitting User: snehacouvillion
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GNPS content goes here (MSV000086931 [task=394a8b98627a45b4925f8f43c93f9a14])
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Number of distinct conditions across all analyses (original submission and reanalyses) associated with this dataset.

Distinct condition labels are counted across all files submitted in the "Metadata" category having a "Condition" column in this dataset.

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

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

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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 protein accessions reported across all analyses (original submission and reanalyses) associated with this dataset.

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Number of distinct unmodified peptide sequences reported across all analyses (original submission and reanalyses) associated with this dataset.

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Number of distinct peptide sequences (including modified variants or peptidoforms) reported across all analyses (original submission and reanalyses) associated with this dataset.

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Total number of peptide-spectrum matches (i.e. spectrum identifications) reported across all analyses (original submission and reanalyses) associated with this dataset.

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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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