Contributors | Affiliation | Role |
---|---|---|
Saito, Mak A. | Woods Hole Oceanographic Institution (WHOI) | Principal Investigator, Contact |
Santoro, Alyson E. | University of California-Santa Barbara (UCSB-LifeSci) | Co-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 |
R/V Falkor 160115 McLane log data.
Sampling was conducted using a McLane Pump, or Surface Pump.
>BCO-DMO Data Processing Notes:
- reformatted column names to comply with BCO-DMO standards.
- replaced spaces in column names with underscores.
- removed special characters from column names.
- removed units from column names.
Data version 2:2018-11-20 was an intermediate revision replacing data version 1:2017-09-07 correcting issues with lat/lon values.
Data version 3:2018-12-17 replaces data version 2: 2018-11-20 with changes made after communication with data contributor.
* lat/lon issues corrected. lon values > 360 converted to the equivalent in 180 max format. All long values made negative (verified against cruise track from R2R).
* added columns for max/min filter sizes and ISO_DateTime_UTC.
* Time format was inconsistent and contained HH:MM:00 and HH:MM. Format changed to all HH:MM.
* 24:00:00 value 24:00:00 changed to 23:59
* blank values are displayed as "nd" the default missing data identifier in the BCO-DMO data system.
* target_depth value for station 12 cast MP12 changed from 20 to 21.
* Alternate target_depth values supplied for station 8 cast MP06 by submitter.
* column "depth" removed and target_depth name changed to "depth." There is now only one "depth" column.
2024-10-21:
* Same data table described above (Data version 3:2018-12-17) was imported into BCO-DMO's new data system and will be reviewed by data submitter before public release as 708495_v3_falkor-160115-mclane-log.csv
File |
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708495_v3_falkor-160115-mclane-log.csv (Comma Separated Values (.csv), 16.90 KB) MD5:fbad6fd30feecf2a880af6ada357bc03 Primary data file for dataset ID 708495, version 3 |
Parameter | Description | Units |
cruise | Cruise name | unitless |
station | Station number | unitless |
date | Date of sampling in format yyyy-mm-dd | unitless |
time | Local time of sampling; HH:MM | unitless |
lat | Latitude; N is positive | decimal degrees |
lon | Longitude; E is positive | decimal degrees |
cast | Cast ID number | unitless |
pump_serial_num | Pump serial number; manufactorer issued | unitless |
pump_num | Pump ID number; PI issued | unitless |
filter_stand | Filter stand ID number | unitless |
depth | Sample depth | meters |
pump_start_time | Pump start time; HH:MM | unitless |
set_pump_time | Programmed set time for pump | minutes |
GFF_flow_meter_volume | GFF flow meter total volume | liters |
supor_flow_meter_volume | Supor flow meter total volume | liters |
total_start | Combined flow meter total at start | liters |
added_total_of_supor_and_GFF | Added total of flow meter volumes | liters |
total_end | Combined flow meter total at end | liters |
difference | Difference in total start and end values | liters |
pump_msg | Pump messages received | unitless |
notes | Notes | unitless |
ISO_DateTime_UTC | Timestamp (UTC) in standard ISO 8601:2004(E) format YYYY-mm-ddTHH:MMZ | unitless |
Dataset-specific Instrument Name | McLane |
Generic Instrument Name | McLane Pump |
Dataset-specific Description | Used for water sampling |
Generic Instrument Description | McLane pumps sample large volumes of seawater at depth. They are attached to a wire and lowered to different depths in the ocean. As the water is pumped through the filter, particles suspended in the ocean are collected on the filters. The pumps are then retrieved and the contents of the filters are analyzed in a lab. |
Dataset-specific Instrument Name | Surface pump |
Generic Instrument Name | Pump surface |
Dataset-specific Description | Used for water sampling |
Generic Instrument Description | A source of uncontaminated near-surface seawater pumped onto the deck of the research vessel that can be sampled and analyzed. This pumped seawater supply is from an over-the-side pumping system, and is therefore different from the vessel underway seawater system. |
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) | |
Alfred P. Sloan Foundation (Sloan) | |
Schmidt Ocean Institute (SOI) |