Total spectral count of proteins from R/V Falkor cruise 160115 for the ProteOMZ expedition in the Central Pacific in 2016

dc.contributor.author Saito, Mak A.
dc.coverage.spatial Central Pacific Ocean (Hawaii to Tahiti)
dc.coverage.spatial westlimit: -157.3022; southlimit: -0.4708; eastlimit: -139.1089; northlimit: 17.4465
dc.coverage.temporal 20160119 - 20160128 (UTC)
dc.date.accessioned 2024-11-07T00:55:16Z
dc.date.available 2024-11-07T00:55:16Z
dc.date.created 2022-06-06
dc.date.issued 2024-11-06
dc.description Dataset: ProteOMZ Protein Level Spectral Counts
dc.description.abstract Relative protein abundance data of the upper 1000m water column from the ProteOMZ R/V Falkor expedition. There are 56,577 protein identifications over 102 samples, for ~6 million data points. 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/737620
dc.description.sponsorship Gordon and Betty Moore Foundation: Marine Microbiology Initiative (MMI) GBMF3782, Schmidt Ocean Institute (SOI) R/V Falkor 160115 SOI ProteOMZ Expedition
dc.identifier.citation Saito, M. A. (2024). Total spectral count of proteins from R/V Falkor cruise 160115 for the ProteOMZ expedition in the Central Pacific in 2016 (Version 3) [Data set]. Biological and Chemical Oceanography Data Management Office (BCO-DMO). https://doi.org/10.26008/1912/BCO-DMO.737620.3
dc.identifier.doi 10.26008/1912/bco-dmo.737620.3
dc.identifier.uri https://hdl.handle.net/1912/70857
dc.language.iso en_US
dc.publisher Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
dc.relation.uri http://lod.bco-dmo.org/id/dataset/737620
dc.relation.uri https://doi.org/10.26008/1912/bco-dmo.737620.3
dc.rights Creative Commons Attribution 4.0
dc.rights.uri https://creativecommons.org/licenses/by/4.0/
dc.title Total spectral count of proteins from R/V Falkor cruise 160115 for the ProteOMZ expedition in the Central Pacific in 2016
dc.type Dataset
dspace.entity.type Publication
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