ERDDAP > info > bcodmo_dataset_768627

Grid DAP Data	Sub- set	Table DAP Data	Make A Graph	W M S	Source Data Files	Acces- sible	Title	Sum- mary	ISO, Metadata	Back- ground Info	RSS	E mail	Institution	Dataset ID
		data	graph		files	public	Compiled dataset consisting of published and unpublished global nitrate d15N measurements from from 1975-2018		I   M	background			BCO-DMO	bcodmo_dataset_768627

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	Data Compilation: Nitrate d15N observations were compiled from studies dating from 1975 to 2018. Whenever possible, the data was acquired via the original author, but in other cases the data was estimated from the publication directly. All observations were treated equally, although the failure to remove nitrite when using the \"denitrifier method\" may bias the nitrate d15N to low values (Rafter et al., 2013). For complete methodology, refer to Rafter et al. (2019).
attribute	NC_GLOBAL	awards_0_award_nid	String	766422
attribute	NC_GLOBAL	awards_0_award_number	String	OCE-1658392
attribute	NC_GLOBAL	awards_0_data_url	String	http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1658392
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	Dr Simone Metz
attribute	NC_GLOBAL	awards_0_program_manager_nid	String	51479
attribute	NC_GLOBAL	cdm_data_type	String	Other
attribute	NC_GLOBAL	comment	String	Global observed nitrate d15N PI: Patrick Rafter (UC Irvine) Co-PIs: Aaron Bagnell (UCSB), Dario Marconi (Princeton), & Timothy DeVries (UCSB) Version date: 28-May-2019 Version number: 1.0
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	2019-05-28T17:17:32Z
attribute	NC_GLOBAL	date_modified	String	2019-06-17T20:03:18Z
attribute	NC_GLOBAL	defaultDataQuery	String	&time<now
attribute	NC_GLOBAL	doi	String	10.1575/1912/bco-dmo.768627.1
attribute	NC_GLOBAL	Easternmost_Easting	double	358.0
attribute	NC_GLOBAL	geospatial_lat_max	double	83.0
attribute	NC_GLOBAL	geospatial_lat_min	double	-78.0
attribute	NC_GLOBAL	geospatial_lat_units	String	degrees_north
attribute	NC_GLOBAL	geospatial_lon_max	double	358.0
attribute	NC_GLOBAL	geospatial_lon_min	double	-206.0
attribute	NC_GLOBAL	geospatial_lon_units	String	degrees_east
attribute	NC_GLOBAL	geospatial_vertical_max	double	6002.0
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/768627
attribute	NC_GLOBAL	institution	String	BCO-DMO
attribute	NC_GLOBAL	keywords	String	bco, bco-dmo, biological, chemical, chemistry, concentration, data, dataset, depth, dmo, earth, Earth Science > Oceans > Ocean Chemistry > Nitrate, erddap, latitude, longitude, management, mole, mole_concentration_of_nitrate_in_sea_water, n02, nitrate, nitrate_d15N, no3, ocean, oceanography, oceans, office, preliminary, reference, science, sea, seawater, water
attribute	NC_GLOBAL	keywords_vocabulary	String	GCMD Science Keywords
attribute	NC_GLOBAL	license	String	https://www.bco-dmo.org/dataset/768627/license
attribute	NC_GLOBAL	metadata_source	String	https://www.bco-dmo.org/api/dataset/768627
attribute	NC_GLOBAL	Northernmost_Northing	double	83.0
attribute	NC_GLOBAL	param_mapping	String	{'768627': {'Latitude': 'flag - latitude', 'Depth': 'flag - depth', 'Longitude': 'flag - longitude'}}
attribute	NC_GLOBAL	parameter_source	String	https://www.bco-dmo.org/mapserver/dataset/768627/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	Patrick Rafter
attribute	NC_GLOBAL	people_0_person_nid	String	615040
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	University of California-Santa Barbara
attribute	NC_GLOBAL	people_1_affiliation_acronym	String	UCSB
attribute	NC_GLOBAL	people_1_person_name	String	Aaron Bagnell
attribute	NC_GLOBAL	people_1_person_nid	String	768632
attribute	NC_GLOBAL	people_1_role	String	Co-Principal Investigator
attribute	NC_GLOBAL	people_1_role_type	String	originator
attribute	NC_GLOBAL	people_2_affiliation	String	University of California-Santa Barbara
attribute	NC_GLOBAL	people_2_affiliation_acronym	String	UCSB
attribute	NC_GLOBAL	people_2_person_name	String	Timothy DeVries
attribute	NC_GLOBAL	people_2_person_nid	String	766426
attribute	NC_GLOBAL	people_2_role	String	Co-Principal Investigator
attribute	NC_GLOBAL	people_2_role_type	String	originator
attribute	NC_GLOBAL	people_3_affiliation	String	Princeton University
attribute	NC_GLOBAL	people_3_person_name	String	Dario Marconi
attribute	NC_GLOBAL	people_3_person_nid	String	768634
attribute	NC_GLOBAL	people_3_role	String	Co-Principal Investigator
attribute	NC_GLOBAL	people_3_role_type	String	originator
attribute	NC_GLOBAL	people_4_affiliation	String	University of California-Irvine
attribute	NC_GLOBAL	people_4_affiliation_acronym	String	UC Irvine
attribute	NC_GLOBAL	people_4_person_name	String	Patrick Rafter
attribute	NC_GLOBAL	people_4_person_nid	String	615040
attribute	NC_GLOBAL	people_4_role	String	Contact
attribute	NC_GLOBAL	people_4_role_type	String	related
attribute	NC_GLOBAL	people_5_affiliation	String	Woods Hole Oceanographic Institution
attribute	NC_GLOBAL	people_5_affiliation_acronym	String	WHOI BCO-DMO
attribute	NC_GLOBAL	people_5_person_name	String	Shannon Rauch
attribute	NC_GLOBAL	people_5_person_nid	String	51498
attribute	NC_GLOBAL	people_5_role	String	BCO-DMO Data Manager
attribute	NC_GLOBAL	people_5_role_type	String	related
attribute	NC_GLOBAL	project	String	Fe Cycle Models and Observations
attribute	NC_GLOBAL	projects_0_acronym	String	Fe Cycle Models and Observations
attribute	NC_GLOBAL	projects_0_description	String	NSF Award Abstract: Tiny marine organisms called phytoplankton play a critical role in Earth's climate, by absorbing carbon dioxide from the atmosphere. In order to grow, these phytoplankton require nutrients that are dissolved in seawater. One of the rarest and most important of these nutrients is iron. Even though it is a critical life-sustaining nutrient, oceanographers still do not know much about how iron gets into the ocean, or how it is removed from seawater. In the past few years, scientists have made many thousands of measurements of the amount of dissolved iron in seawater, in environments ranging from the deep sea, to the Arctic, to the tropical oceans. They found that the amount of iron in seawater varies dramatically from place to place. Can this data tell us about how iron gets into the ocean, and how it is ultimately removed? Yes. In this project, scientists working on making measurements of iron in seawater will come together with scientists who are working on computer models of iron inputs and removal in the ocean. The goal is to work together to create a program that allows our computer models to "learn" from the data, much like an Artificial Intelligence program. This program will develop a "best estimate" of where and how much iron is coming into the ocean, how long it stays in the ocean, and ultimately how it gets removed. This will lead to a better understanding of how climate change will impact the delivery of iron to the ocean, and how phytoplankton will respond to climate change. With better climate models, society can make more informed decisions about how to respond to climate change. The study will also benefit a future generation of scientists, by training graduate students in a unique collaboration between scientists making seawater measurements, and those using computer models to interpret those measurements. Finally, the project aims to increase the participation of minority and low-income students in STEM (Science, Technology, Engineering, and Mathematics) research, through targeted outreach programs. Iron (Fe) is an important micronutrient for marine phytoplankton that limits primary productivity over much of the ocean; however, the major fluxes in the marine Fe cycle remain poorly quantified. Ocean models that attempt to synthesize our understanding of Fe biogeochemistry predict widely different Fe inputs to the ocean, and are often unable to capture first-order features of the Fe distribution. The proposed work aims to resolve these problems using data assimilation (inverse) methods to "teach" the widely used Biogeochemical Elemental Cycling (BEC) model how to better represent Fe sources, sinks, and cycling processes. This will be achieved by implementing BEC in the efficient Ocean Circulation Inverse Model and expanding it to simulate the cycling of additional tracers that constrain unique aspects of the Fe cycle, including aluminum, thorium, helium and Fe isotopes. In this framework, the inverse model can rapidly explore alternative representations of Fe-cycling processes, guided by new high-quality observations made possible in large part by the GEOTRACES program. The work will be the most concerted effort to date to synthesize these rich datasets into a realistic and mechanistic model of the marine Fe cycle. In addition, it will lead to a stronger consensus on the magnitude of fluxes in the marine Fe budget, and their relative importance in controlling Fe limitation of marine ecosystems, which are areas of active debate. It will guide future observational efforts, by identifying factors that are still poorly constrained, or regions of the ocean where new data will dramatically reduce remaining uncertainties and allow new robust predictions of Fe cycling under future climate change scenarios to be made, ultimately improving climate change predictions. A broader impact of this work on the scientific community will be the development of a fast, portable, and flexible global model of trace element cycling, designed to allow non-modelers to test hypotheses and visualize the effects of different processes on trace metal distributions. The research will also support the training of graduate students, and outreach to low-income and minority students in local school districts.
attribute	NC_GLOBAL	projects_0_end_date	String	2020-06
attribute	NC_GLOBAL	projects_0_name	String	Collaborative research: Combining models and observations to constrain the marine iron cycle
attribute	NC_GLOBAL	projects_0_project_nid	String	766423
attribute	NC_GLOBAL	projects_0_start_date	String	2017-07
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	-78.0
attribute	NC_GLOBAL	standard_name_vocabulary	String	CF Standard Name Table v55
attribute	NC_GLOBAL	summary	String	Nitrate d15N observations were compiled from studies dating from 1975 to 2018. Whenever possible, the data was acquired via the original author, but in other cases the data was estimated from the publication directly. All observations were treated equally, although the failure to remove nitrite when using the \denitrifier method\ may bias the nitrate d15N to low values (Rafter et al., 2013). This version of the dataset (1.0) will be updated as new data are published.
attribute	NC_GLOBAL	title	String	Compiled dataset consisting of published and unpublished global nitrate d15N measurements from from 1975-2018
attribute	NC_GLOBAL	version	String	1
attribute	NC_GLOBAL	Westernmost_Easting	double	-206.0
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	-78.0, 83.0
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 in degrees north
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	-206.0, 358.0
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 in degrees East
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, 6002.0
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	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	nitrate_d15N		float
attribute	nitrate_d15N	_FillValue	float	NaN
attribute	nitrate_d15N	actual_range	float	-0.5, 68.7
attribute	nitrate_d15N	bcodmo_name	String	dN15_NO3
attribute	nitrate_d15N	colorBarMaximum	double	50.0
attribute	nitrate_d15N	colorBarMinimum	double	0.0
attribute	nitrate_d15N	description	String	The N isotopic composition of nitrate
attribute	nitrate_d15N	long_name	String	Mole Concentration Of Nitrate In Sea Water
attribute	nitrate_d15N	units	String	per mil
variable	nitrate		float
attribute	nitrate	_FillValue	float	NaN
attribute	nitrate	actual_range	float	-999.0, 50.7
attribute	nitrate	bcodmo_name	String	NO3
attribute	nitrate	colorBarMaximum	double	50.0
attribute	nitrate	colorBarMinimum	double	0.0
attribute	nitrate	description	String	nitrate
attribute	nitrate	long_name	String	Mole Concentration Of Nitrate In Sea Water
attribute	nitrate	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P01/current/NTRAIGGS/
attribute	nitrate	units	String	micromoles per kilogram (umol kg-1)
variable	reference		String
attribute	reference	bcodmo_name	String	reference_paper
attribute	reference	description	String	Reference(s)
attribute	reference	long_name	String	Reference
attribute	reference	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.