Total spectral counts of peptides from the R/V Falkor cruise 160115 in the Central Pacific for the ProteOMZ expedition in 2016.

Website: https://www.bco-dmo.org/dataset/737596
Data Type: Cruise Results
Version: 1
Version Date: 2018-05-25

Project
» The ProteOMZ Expedition: Investigating Life Without Oxygen in the Pacific Ocean (ProteOMZ (Proteomics in an Oxygen Minimum Zone))
ContributorsAffiliationRole
Saito, Mak A.Woods Hole Oceanographic Institution (WHOI)Principal Investigator
Ake, HannahWoods Hole Oceanographic Institution (WHOI BCO-DMO)BCO-DMO Data Manager
York, Amber D.Woods Hole Oceanographic Institution (WHOI BCO-DMO)BCO-DMO Data Manager

Abstract
Relative protein abundance data of the upper 1000m water column from the ProteOMZ R/V Falkor expedition. There are 109952 unique peptides, each with spectral counts associated with each of the 103 samples, for 10 million data points.


Coverage

Spatial Extent: N:17.4465 E:-139.1089 S:-0.4708 W:-157.3022
Temporal Extent: 2016-01-19 - 2016-01-28

Dataset Description

These data are part of the Ocean Protein Portal "ProteOMZ" dataset (https://proteinportal.whoi.edu/; Saito et al., 2019).


Data Processing Description

The raw mass spectra files were searched against SEQUEST within Proteome Discoverer v2.2 software. Processed files were then loaded into Proteome Software and protein and peptide reports as well as and fasta files were exported. The files were modified slightly to map to the Protein Portal data model for submission to BCO-DMO. The peptide report was too large to work with within Excel and was modified in Pandas/Python to produce a CSV file.


BCO-DMO Processing Description

-Date, time, filter min, filter max, lat, lon, and cruise columns added based on information from the Falkor 160115 Event log and CTD log.
-Column names reformatted to comply with BCO-DMO standards.


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Related Datasets

IsSupplementTo
Saito, M. A. (2018) Total spectral count of proteins from R/V Falkor cruise 160115 for the ProteOMZ expedition in the Central Pacific in 2016. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 3) Version Date 2018-12-10 http://lod.bco-dmo.org/id/dataset/737620 [view at BCO-DMO]

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Parameters

ParameterDescriptionUnits
cruise

Cruise deployment ID

unitless
station

Station number

unitless
Depth

Depth of sampling

meters
date

Date of sampling; yyyy/mm/dd

unitless
time

Time of sampling; hh:mm

unitless
lon

Longitude

decimal degrees
lat

Latitude

decimal degrees
min_filter_size

Minimum filter size

microns
max_filter_size

Maximum filter size

microns
MS_MS_sample_name

RAW file name; crossreferences to proteomexchange or OPP repository

unitless
Protein_ID

Metagenome ID; needed to map to protein IDs.

unitless
Protein_accession_numbers

Duplicate of Protein ID but can contain multiple entries.

unitless
Protein_molecular_weight

Protein molecular weight

kDa
Peptide_sequence

Unique Peptide sequence; this is the most unique identifier

unitless
Best_Peptide_identification_probability

Metric of peptide quality

unitless
Best_SEQUEST_XCorr_score

Metric of peptide quality

unitless
Best_SEQUEST_DCn_score

Metric of peptide quality

unitless
Number_of_identified_2H_spectra

Count of +2H spectra

count
Number_of_identified_3H_spectra

Count of +3H spectra

count
Number_of_identified_4H_spectra

Count of +4H spectra

count
SUM_Spectral_Counts

Sum of +2 +3 +4 data = total unnormalized spectral counts; Quantitative Value

count
Median_Retention_Time

Median retention time

minutes
Total_Precursor_Intensity

Quantitative Value (2 of 3)

unitless
Total_TIC

Quantitative Value (3 of 3)

unitless
Peptide_start_index

Data useful in creating peptide coverage map for WHO page

unitless
Peptide_stop_index

Data useful in creating peptide coverage map for WHO page

unitless
ISO_DateTime_UTC

DateTime UTC ISO formatted

unitless


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Instruments

Dataset-specific Instrument Name
Alpkem Autosampler
Generic Instrument Name
Alpkem RFA300
Dataset-specific Description
Used in nutrient analysis
Generic Instrument Description
A rapid flow analyser (RFA) that may be used to measure nutrient concentrations in seawater. It is an air-segmented, continuous flow instrument comprising a sampler, a peristaltic pump which simultaneously pumps samples, reagents and air bubbles through the system, analytical cartridge, heating bath, colorimeter, data station, and printer. The RFA-300 was a precursor to the smaller Alpkem RFA/2 (also RFA II or RFA-2).

Dataset-specific Instrument Name
SeaBird SBE19 CTD
Generic Instrument Name
CTD Sea-Bird
Dataset-specific Description
Used for water sampling
Generic Instrument Description
Conductivity, Temperature, Depth (CTD) sensor package from SeaBird Electronics, no specific unit identified. This instrument designation is used when specific make and model are not known. See also other SeaBird instruments listed under CTD. More information from Sea-Bird Electronics.

Dataset-specific Instrument Name
Technicon AutoAnalyzer II
Generic Instrument Name
Technicon AutoAnalyzer II
Dataset-specific Description
Used to measure phosphate and ammonium
Generic Instrument Description
A rapid flow analyzer that may be used to measure nutrient concentrations in seawater. It is a continuous segmented flow instrument consisting of a sampler, peristaltic pump, analytical cartridge, heating bath, and colorimeter. See more information about this instrument from the manufacturer.

Dataset-specific Instrument Name
Trace Metal Rosette
Generic Instrument Name
Trace Metal Bottle
Dataset-specific Description
Used for nutrient sampling
Generic Instrument Description
Trace metal (TM) clean rosette bottle used for collecting trace metal clean seawater samples.


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Deployments

FK160115

Website
Platform
R/V Falkor
Report
Start Date
2016-01-16
End Date
2016-02-11
Description
Project: Using Proteomics to Understand Oxygen Minimum Zones (ProteOMZ) More information is available from the ship operator at https://schmidtocean.org/cruise/investigating-life-without-oxygen-in-the... Additional cruise information is available from the Rolling Deck to Repository (R2R): https://www.rvdata.us/search/cruise/FK160115


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Project Information

The ProteOMZ Expedition: Investigating Life Without Oxygen in the Pacific Ocean (ProteOMZ (Proteomics in an Oxygen Minimum Zone))


Coverage: Central Pacific Ocean (Hawaii to Tahiti)


From Schmidt Ocean Institute's ProteOMZ Project page:

Rising temperatures, ocean acidification, and overfishing have now gained widespread notoriety as human-caused phenomena that are changing our seas. In recent years, scientists have increasingly recognized that there is yet another ingredient in that deleterious mix: a process called deoxygenation that results in less oxygen available in our seas.

Large-scale ocean circulation naturally results in low-oxygen areas of the ocean called oxygen deficient zones (ODZs). The cycling of carbon and nutrients – the foundation of marine life, called biogeochemistry – is fundamentally different in ODZs than in oxygen-rich areas. Because researchers think deoxygenation will greatly expand the total area of ODZs over the next 100 years, studying how these areas function now is important in predicting and understanding the oceans of the future. This first expedition of 2016 led by Dr. Mak Saito from the Woods Hole Oceanographic Institution (WHOI) along with scientists from University of Maryland Center for Environmental Science, University of California Santa Cruz, and University of Washington aimed to do just that, investigate ODZs.

During the 28 day voyage named “ProteOMZ,” researchers aboard R/V Falkor traveled from Honolulu, Hawaii to Tahiti to describe the biogeochemical processes that occur within this particular swath of the ocean’s ODZs. By doing so, they contributed to our greater understanding of ODZs, gathered a database of baseline measurements to which future measurements can be compared, and established a new methodology that could be used in future research on these expanding ODZs.



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Funding

Funding SourceAward
Gordon and Betty Moore Foundation: Marine Microbiology Initiative (MMI)
Schmidt Ocean Institute (SOI)

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