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Title Sum-
Institution Dataset ID
     data   graph     files  public Global distribution of phosphate using high sensitivity techniques from data aggregated from
many studies between 1988-2017
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The Dataset's Variables and Attributes

Row Type Variable Name Attribute Name Data Type Value
attribute NC_GLOBAL access_formats String .htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson
attribute NC_GLOBAL acquisition_description String For complete methdology, see Martiny et al, (2019).

Data have been aggregated from many studies. Procedures and methodology
include the following:
Sampling procedures: Liquid samples taken from the Rosette or Underway
System. Samples are either processed fresh or stored frozen until processing.
Some samples are pre-filtered.

Methodology: High sensitivity dissolved phosphate measurements done using
either Liquid Waveguide Cells, magnesium induced precipitation (MAGIC), or
solid phase extraction.

Many instruments were used but the main procedures include: MAGIC (Karl &
Tien, 1992), LWCC - Liquid Waveguide cells (Li & Hansell, 2008), and Solid
phase extraction (Ma, Yuan, & Yuan, 2017).
attribute NC_GLOBAL awards_0_award_nid String 764269
attribute NC_GLOBAL awards_0_award_number String OCE-1848576
attribute NC_GLOBAL awards_0_data_url String http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1848576 (external link)
attribute NC_GLOBAL awards_0_funder_name String NSF Division of Ocean Sciences
attribute NC_GLOBAL awards_0_funding_acronym String NSF OCE
attribute NC_GLOBAL awards_0_funding_source_nid String 355
attribute NC_GLOBAL awards_0_program_manager String Michael E. Sieracki
attribute NC_GLOBAL awards_0_program_manager_nid String 50446
attribute NC_GLOBAL cdm_data_type String Other
attribute NC_GLOBAL comment String High sensitivity DIP
Global distribution of phosphate using high sensitivity techniques
PI: Adam Martiny (UC Irvine)
Version date: 17-April-2019
attribute NC_GLOBAL Conventions String COARDS, CF-1.6, ACDD-1.3
attribute NC_GLOBAL creator_email String info at bco-dmo.org
attribute NC_GLOBAL creator_name String BCO-DMO
attribute NC_GLOBAL creator_type String institution
attribute NC_GLOBAL creator_url String https://www.bco-dmo.org/ (external link)
attribute NC_GLOBAL data_source String extract_data_as_tsv version 2.3 19 Dec 2019
attribute NC_GLOBAL date_created String 2019-04-10T19:33:06Z
attribute NC_GLOBAL date_modified String 2019-08-28T19:55:01Z
attribute NC_GLOBAL defaultDataQuery String &time<now
attribute NC_GLOBAL doi String 10.1575/1912/bco-dmo.764704.1
attribute NC_GLOBAL Easternmost_Easting double 179.5304133
attribute NC_GLOBAL geospatial_lat_max double 68.0
attribute NC_GLOBAL geospatial_lat_min double -40.16724667
attribute NC_GLOBAL geospatial_lat_units String degrees_north
attribute NC_GLOBAL geospatial_lon_max double 179.5304133
attribute NC_GLOBAL geospatial_lon_min double -179.99976
attribute NC_GLOBAL geospatial_lon_units String degrees_east
attribute NC_GLOBAL geospatial_vertical_max double 5878.0
attribute NC_GLOBAL geospatial_vertical_min double 0.0
attribute NC_GLOBAL geospatial_vertical_positive String down
attribute NC_GLOBAL geospatial_vertical_units String m
attribute NC_GLOBAL infoUrl String https://www.bco-dmo.org/dataset/764704 (external link)
attribute NC_GLOBAL institution String BCO-DMO
attribute NC_GLOBAL instruments_0_acronym String Niskin bottle
attribute NC_GLOBAL instruments_0_dataset_instrument_description String Liquid samples taken from the Rosette or Underway System.
attribute NC_GLOBAL instruments_0_dataset_instrument_nid String 765289
attribute NC_GLOBAL instruments_0_description String A Niskin bottle (a next generation water sampler based on the Nansen bottle) is a cylindrical, non-metallic water collection device with stoppers at both ends. The bottles can be attached individually on a hydrowire or deployed in 12, 24 or 36 bottle Rosette systems mounted on a frame and combined with a CTD. Niskin bottles are used to collect discrete water samples for a range of measurements including pigments, nutrients, plankton, etc.
attribute NC_GLOBAL instruments_0_instrument_external_identifier String https://vocab.nerc.ac.uk/collection/L22/current/TOOL0412/ (external link)
attribute NC_GLOBAL instruments_0_instrument_name String Niskin bottle
attribute NC_GLOBAL instruments_0_instrument_nid String 413
attribute NC_GLOBAL instruments_0_supplied_name String Rosette
attribute NC_GLOBAL instruments_1_acronym String Pump-Ship Intake
attribute NC_GLOBAL instruments_1_dataset_instrument_description String Liquid samples taken from the Rosette or Underway System.
attribute NC_GLOBAL instruments_1_dataset_instrument_nid String 765290
attribute NC_GLOBAL instruments_1_description String The 'Pump-underway ship intake' system indicates that samples are from the ship's clean water intake pump. This is essentially a surface water sample from a source of uncontaminated near-surface (commonly 3 to 7 m) seawater that can be pumped continuously to shipboard laboratories on research vessels. There is typically a temperature sensor near the intake (known as the hull temperature) to provide measurements that are as close as possible to the ambient water temperature. The flow from the supply is typically directed through continuously logged sensors such as a thermosalinograph and a fluorometer. Water samples are often collected from the underway supply that may also be referred to as the non-toxic supply. Ideally the data contributor has specified the depth in the ship's hull at which the pump is mounted.
attribute NC_GLOBAL instruments_1_instrument_external_identifier String https://vocab.nerc.ac.uk/collection/L05/current/31/ (external link)
attribute NC_GLOBAL instruments_1_instrument_name String Pump - Surface Underway Ship Intake
attribute NC_GLOBAL instruments_1_instrument_nid String 534
attribute NC_GLOBAL instruments_1_supplied_name String Underway System
attribute NC_GLOBAL instruments_2_acronym String LWCC
attribute NC_GLOBAL instruments_2_dataset_instrument_description String High sensitivity dissolved phosphate measurements done using either Liquid Waveguide Cells, magnesium induced precipitation (MAGIC), or solid phase extraction.
attribute NC_GLOBAL instruments_2_dataset_instrument_nid String 765288
attribute NC_GLOBAL instruments_2_description String Liquid Waveguide Capillary Cells (LWCC) are optical sample cells that combine an increased optical pathlength (2-500 cm) with small sample volumes. They can be connected via optical fibers to a spectrophotometer with fiber optic capabilities. Similar to optical fibers, light is confined within the (liquid) core of an LWCC by total internal reflection at the core/wall interface. Ultra-sensitive absorbance measurements can be performed in the ultraviolet (UV), visible (VIS) and near-infrared (NIR) to detect low sample concentrations in a laboratory or process control environment. According to Beer’s Law the absorbance signal is proportional to chemical concentration and light path length.
attribute NC_GLOBAL instruments_2_instrument_name String Liquid Waveguide Capillary Cells
attribute NC_GLOBAL instruments_2_instrument_nid String 723
attribute NC_GLOBAL instruments_2_supplied_name String Liquid Waveguide Cells
attribute NC_GLOBAL keywords String bco, bco-dmo, biological, chemical, data, dataset, date, day, depth, dip, dmo, erddap, latitude, longitude, management, month, oceanography, office, preliminary, year
attribute NC_GLOBAL license String https://www.bco-dmo.org/dataset/764704/license (external link)
attribute NC_GLOBAL metadata_source String https://www.bco-dmo.org/api/dataset/764704 (external link)
attribute NC_GLOBAL Northernmost_Northing double 68.0
attribute NC_GLOBAL param_mapping String {'764704': {'Lat': 'flag - latitude', 'Depth': 'flag - depth', 'Lon': 'flag - longitude'}}
attribute NC_GLOBAL parameter_source String https://www.bco-dmo.org/mapserver/dataset/764704/parameters (external link)
attribute NC_GLOBAL people_0_affiliation String University of California-Irvine
attribute NC_GLOBAL people_0_affiliation_acronym String UC Irvine
attribute NC_GLOBAL people_0_person_name String Adam Martiny
attribute NC_GLOBAL people_0_person_nid String 51402
attribute NC_GLOBAL people_0_role String Principal Investigator
attribute NC_GLOBAL people_0_role_type String originator
attribute NC_GLOBAL people_1_affiliation String Woods Hole Oceanographic Institution
attribute NC_GLOBAL people_1_affiliation_acronym String WHOI BCO-DMO
attribute NC_GLOBAL people_1_person_name String Shannon Rauch
attribute NC_GLOBAL people_1_person_nid String 51498
attribute NC_GLOBAL people_1_role String BCO-DMO Data Manager
attribute NC_GLOBAL people_1_role_type String related
attribute NC_GLOBAL project String Ocean_Stoichiometry
attribute NC_GLOBAL projects_0_acronym String Ocean_Stoichiometry
attribute NC_GLOBAL projects_0_description String NSF Award Abstract:
Due to their sheer abundance and high activity, microorganisms have the potential to greatly influence how ecosystems are affected by changes in their environment. However, descriptions of microbial physiology and diversity are local and highly complex and thus rarely considered in Earth System Models. Thus, the researchers focus on a convergence research framework that can qualitatively and quantitatively integrate eco-evolutionary changes in microorganisms with global biogeochemistry. Here, the investigators will develop an approach that integrates the knowledge and tools of biologists, mathematicians, engineers, and geoscientists to understand the link between the ocean nutrient and carbon cycles. The integration of data and knowledge from diverse fields will provide a robust, biologically rich, and computationally efficient prediction for the variation in plankton resource requirements and the biogeochemical implications, addressing a fundamental challenge in ocean science. In addition, the project can serve as a road map for many other research groups facing a similar lack of convergence between biology and geoscience.
Traditionally, the cellular elemental ratios of Carbon, Nitrogen, and Phosphorus (C:N:P) of marine communities have been considered static at Redfield proportions but recent studies have demonstrated strong latitudinal variation. Such regional variation may have large - but poorly constrained - implications for marine biodiversity, biogeochemical functioning, and atmospheric carbon dioxide levels. As such, variations in ocean community C:N:P may represent an important biological feedback. Here, the investigators propose a convergence research framework integrating cellular and ecological processes controlling microbial resource allocations with an Earth System model. The approach combines culture experiments and omics measurements to provide a molecular understanding of cellular resource allocations. Using a mathematical framework of increasing complexity describing communicating, moving demes, the team will quantify the extent to which local mixing, environmental heterogeneity and evolution lead to systematic deviations in plankton resource allocations and C:N:P. Optimization tools from engineering science will be used to facilitate the quantitative integration of models and observations across a range of scales and complexity levels. Finally, global ocean modeling will enable understanding of how plankton resource use impacts Earth System processes. By integrating data and knowledge across fields, scales and complexity, the investigators will develop a robust link between variation in plankton C:N:P and global biogeochemical cycles.
attribute NC_GLOBAL projects_0_end_date String 2021-08
attribute NC_GLOBAL projects_0_name String Convergence: RAISE: Linking the adaptive dynamics of plankton with emergent global ocean biogeochemistry
attribute NC_GLOBAL projects_0_project_nid String 764270
attribute NC_GLOBAL projects_0_start_date String 2018-09
attribute NC_GLOBAL publisher_name String Biological and Chemical Oceanographic Data Management Office (BCO-DMO)
attribute NC_GLOBAL publisher_type String institution
attribute NC_GLOBAL sourceUrl String (local files)
attribute NC_GLOBAL Southernmost_Northing double -40.16724667
attribute NC_GLOBAL standard_name_vocabulary String CF Standard Name Table v55
attribute NC_GLOBAL summary String Surface ocean phosphate is commonly below the standard analytical detection limit (~100 nM) leading to an incomplete picture of the global variation and biogeochemical role of phosphate. This dataset represents a global compilation of phosphate measured using high-sensitivity methods including magnesium induced precipitation (MAGIC), liquid waveguide cell (LWCC), and solid phase extraction (SPE) methods. We compiled data from 42 major cruises covering all oligotrophic regions using high-sensitivity P measurements. The dataset covered a total of 50591 samples including 41747 samples from the upper 30 m. The compilations revealed several previously unrecognized low-P areas and clear regional biases. Our study demonstrates the importance of accurately quantifying nutrients for understanding the regulation of ocean ecosystems and biogeochemistry now and under future climate conditions.
attribute NC_GLOBAL title String Global distribution of phosphate using high sensitivity techniques from data aggregated from many studies between 1988-2017
attribute NC_GLOBAL version String 1
attribute NC_GLOBAL Westernmost_Easting double -179.99976
attribute NC_GLOBAL xml_source String osprey2erddap.update_xml() v1.3
variable latitude   double  
attribute latitude _CoordinateAxisType String Lat
attribute latitude _FillValue double NaN
attribute latitude actual_range double -40.16724667, 68.0
attribute latitude axis String Y
attribute latitude bcodmo_name String latitude
attribute latitude colorBarMaximum double 90.0
attribute latitude colorBarMinimum double -90.0
attribute latitude description String Latitude
attribute latitude ioos_category String Location
attribute latitude long_name String Latitude
attribute latitude nerc_identifier String https://vocab.nerc.ac.uk/collection/P09/current/LATX/ (external link)
attribute latitude standard_name String latitude
attribute latitude units String degrees_north
variable longitude   double  
attribute longitude _CoordinateAxisType String Lon
attribute longitude _FillValue double NaN
attribute longitude actual_range double -179.99976, 179.5304133
attribute longitude axis String X
attribute longitude bcodmo_name String longitude
attribute longitude colorBarMaximum double 180.0
attribute longitude colorBarMinimum double -180.0
attribute longitude description String Longitude
attribute longitude ioos_category String Location
attribute longitude long_name String Longitude
attribute longitude nerc_identifier String https://vocab.nerc.ac.uk/collection/P09/current/LONX/ (external link)
attribute longitude standard_name String longitude
attribute longitude units String degrees_east
variable depth   double  
attribute depth _CoordinateAxisType String Height
attribute depth _CoordinateZisPositive String down
attribute depth _FillValue double NaN
attribute depth actual_range double 0.0, 5878.0
attribute depth axis String Z
attribute depth bcodmo_name String depth
attribute depth colorBarMaximum double 8000.0
attribute depth colorBarMinimum double -8000.0
attribute depth colorBarPalette String TopographyDepth
attribute depth description String Sampling depth
attribute depth ioos_category String Location
attribute depth long_name String Depth
attribute depth nerc_identifier String https://vocab.nerc.ac.uk/collection/P09/current/DEPH/ (external link)
attribute depth positive String down
attribute depth standard_name String depth
attribute depth units String m
variable DIP   double  
attribute DIP _FillValue double NaN
attribute DIP actual_range double 4.21138E-6, 3.003
attribute DIP bcodmo_name String Dissolved Inorganic Phosphate
attribute DIP description String Dissolved inorganic phophate
attribute DIP long_name String DIP
attribute DIP units String micromolar (uM)
variable Year   short  
attribute Year _FillValue short 32767
attribute Year actual_range short 1988, 2017
attribute Year bcodmo_name String year
attribute Year description String 4-digit year
attribute Year long_name String Year
attribute Year nerc_identifier String https://vocab.nerc.ac.uk/collection/P01/current/YEARXXXX/ (external link)
attribute Year units String unitless
variable Month   String  
attribute Month bcodmo_name String month
attribute Month description String 2-digit month
attribute Month long_name String Month
attribute Month nerc_identifier String https://vocab.nerc.ac.uk/collection/P01/current/MNTHXXXX/ (external link)
attribute Month units String unitless
variable Day   String  
attribute Day bcodmo_name String day
attribute Day description String 2-digit day
attribute Day long_name String Day
attribute Day nerc_identifier String https://vocab.nerc.ac.uk/collection/P01/current/DAYXXXXX/ (external link)
attribute Day units String unitless
variable Date   int  
attribute Date _FillValue int 2147483647
attribute Date actual_range int 19881202, 20170808
attribute Date bcodmo_name String date
attribute Date description String Date formatted as yyyymmdd
attribute Date long_name String Date
attribute Date nerc_identifier String https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/ (external link)
attribute Date units String unitless

The information in the table above is also available in other file formats (.csv, .htmlTable, .itx, .json, .jsonlCSV1, .jsonlCSV, .jsonlKVP, .mat, .nc, .nccsv, .tsv, .xhtml) via a RESTful web service.

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