ERDDAP > info > bcodmo_dataset_764704

Grid DAP Data	Sub- set	Table DAP Data	Make A Graph	W M S	Source Data Files	Acces- sible	Title	Sum- mary	FGDC, ISO, Metadata	Back- ground Info	RSS	E mail	Institution	Dataset ID
		data	graph		files	public	[High Sensitivity DIP] - Global distribution of phosphate using high sensitivity techniques from data aggregated from many studies between 1988-2017 (Convergence: RAISE: Linking the adaptive dynamics of plankton with emergent global ocean biogeochemistry)		F   I   M	background			BCO-DMO	bcodmo_dataset_764704

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
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/
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
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/
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/
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
attribute	NC_GLOBAL	metadata_source	String	https://www.bco-dmo.org/api/dataset/764704
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
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	[High Sensitivity DIP] - Global distribution of phosphate using high sensitivity techniques from data aggregated from many studies between 1988-2017 (Convergence: RAISE: Linking the adaptive dynamics of plankton with emergent global ocean biogeochemistry)
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/
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/
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/
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/
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/
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/
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/
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.