Contributors | Affiliation | Role |
---|---|---|
Saito, Mak A. | Woods Hole Oceanographic Institution (WHOI) | Principal Investigator |
Ake, Hannah | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
York, Amber D. | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
These data are part of the Ocean Protein Portal "ProteOMZ" dataset (https://proteinportal.whoi.edu/; Saito et al., 2019).
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.
-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.
Parameter | Description | Units |
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 |
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. |
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 |
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.
Funding Source | Award |
---|---|
Gordon and Betty Moore Foundation: Marine Microbiology Initiative (MMI) | |
Schmidt Ocean Institute (SOI) |