Relative protein abundance from scaled and corrected exclusive peptide spectral counts from the ProteOMZ R/V Falkor expedition cruise FK160115 in the Pelagic central Pacific Ocean in 2016
Relative protein abundance from scaled and corrected exclusive peptide spectral counts from the ProteOMZ R/V Falkor expedition cruise FK160115 in the Pelagic central Pacific Ocean in 2016
Date
2022-01-20
Authors
Saito, Mak A.
Saunders, Jaclyn K.
Saunders, Jaclyn K.
Linked Authors
Alternative Title
Citable URI
Date Created
2022-01-13
Location
Central Pacific Ocean (Hawaii to Tahiti)
westlimit: -156; southlimit: -10.6; eastlimit: -139.8; northlimit: 10
westlimit: -156; southlimit: -10.6; eastlimit: -139.8; northlimit: 10
DOI
10.26008/1912/bco-dmo.868030.1
Related Materials
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Keywords
Metaproteomics
Mesopelagic
Pelagic
Nitrification
Methylotrophy
Mesopelagic
Pelagic
Nitrification
Methylotrophy
Abstract
Relative protein abundance from scaled and corrected exclusive peptide spectral counts from 20-1250 m in the water column (0.2-3 µm filter size fraction) from the ProteOMZ R/V Falkor expedition. There are a total of 107,579 unique peptide sequences from 56,543 protein groups (88,251 proteins). Exclusive spectral counts are provided per sample as are the full dataset scaled and normalized spectral counts. The protein distributions in this dataset highlight the microbial dynamics across biomes in the central Pacific Ocean. These data were submitted in Saunders et al. (2022).
For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/868030
Description
Dataset: ProteOMZ Exclusive Peptide Level Spectral Counts
Embargo Date
Citation
Saito, M. A., & Saunders, J. (2022). Relative protein abundance from scaled and corrected exclusive peptide spectral counts from the ProteOMZ R/V Falkor expedition cruise FK160115 in the Pelagic central Pacific Ocean in 2016 (Version 1) [Data set]. Biological and Chemical Oceanography Data Management Office (BCO-DMO). https://doi.org/10.26008/1912/BCO-DMO.868030.1