ERDDAP > info > bcodmo_dataset_3912

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	[primary production] - Size-fractioned primary production rates from samples collected on R/V Atlantic Explorer cruises AE1102, AE1118, AE1206, AE1219 in the Sargasso Sea Bermuda Atlantic Time-Series Station in 2011-2012 (Trophic BATS project) (Plankton Community Composition and Trophic Interactions as Modifiers of Carbon Export in the Sargasso Sea )		F   I   M	background			BCO-DMO	bcodmo_dataset_3912

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,.odvTxt
attribute	NC_GLOBAL	acquisition_description	String	Study Site and CTD Casts Data were collected on four cruises in the Sargasso Sea on board the R/V Atlantic Explorer. On each cruise, sampling was conducted at three stations: the center and edge of a mesoscale eddy and at one station outside of the eddy. Eddies were identified using satellite-derived sea level anomaly (SLA) data provided by Dr. Dennis McGillicuddy and Dr. Valery Kosnyrev of the Woods Hole Oceanographic Institution. Target eddies (one per cruise) were initially identified on the day of departure; the ship's position within the eddy (at the center or the edge, as appropriate) was confirmed by daily checks of SLA data. At each station, high resolution CTD casts to ~2000 m were performed at noon to measure core physical, chemical and biological parameters of the water column. In addition to the core CTD casts, pre-dawn \"Productivity\" CTD casts were performed to collect water for measurements of size-fractionated biomass (as chl a) and size-fractionated primary productivity. Samples were obtained using the 24 bottle Niskin rosette from 3-4 depths (20 m, 40-50 m, deep fluorescence maximum (~80 m), and 100 m). Ten-liter polycarbonate collection bottles (covered with black tape) were pre-rinsed with sample water and were filled by draining the Niskin bottles through opaque tubing. All samples were pre-filtered through a 200 um Nitex screen. Further handling of the samples was done in the dark or under red light. The 200 um pre-screened water from pre-dawn productivity casts was used for measurements of size-fractionated biomass (as chl a) and biomarker photopigments by HPLC and for measurements of size-fractionated primary productivity.\u00a0 HPLC pigments were also used for taxonomic identification of total and size-fractionated phytoplankton groups using ChemTax analyses. Samples for microscopy were also taken from productivity casts as verification of the ChemTax results using methods described above for core CTD casts.\u00a0 Total phytoplankton biomass was measured directly by filtering triplicate aliquots of 1 to 2 liters of pre-screened water onto GF/F filters. This gave total chl a in the size fraction 0.7 to 200 um. The biomass of three size classes of phytoplankton was quantified by differential filtration: the picophytoplankton (0.7-2 um), the nanophytoplankton (2-20 um) and the microphytoplankton (20-200 um) as follows. Triplicate aliquots of 1 to 2 liters of pre-screened water were filtered through a 2 um Nuclepore filter then onto a GF/F filter (= picophytoplankton, 0.7-2 um). Triplicate aliquots of pre-screened water were also filtered through a 20 um Nitex mesh then onto a GF/F filter (= 0.7-20 um). Biomass of the nanophytoplankton size class was determined by subtracting the picophytoplankton biomass from the 0.7-20 um biomass. Microphytoplankton biomass was determined by subtracting the 0.7-20 um biomass from the total chl a value. Filters were folded and placed in 1.5 ml cryotubes and frozen at -80\u00b0 C until later analysis at the University of South Carolina (USC) using the methods below.\u00a0 Primary Prodcutivity Measurements For size-fractionated primary productivity measurements, 200 um pre-screened water collected from discrete depths were dispensed into Nalgene polycarbonate incubation bottles (7-8 clear bottles plus 1-2 dark bottles per depth; 800-1200 ml each). Bottles were spiked with 14C-labeled sodium bicarbonate (PerkinElmer Health Sciences Inc.) to a final activity 0.04-0.08 uCi ml-1 per bottle. An additional bottle per depth was used as a particulate blank (T0) (Barber et al., 1996). The T0 bottles were immediately filtered onto a GF/F, acidified with 500 ul 0.5 N HCl and left open to fume for 24 hours (Barber et al., 1996). Samples for total counts (Tc; 100 ul) were collected from one bottle per depth and combined with 200 ul of phenylethylamine (PEA) and 5 ml of scintillation cocktail (EcoLume, MPBiomedicals, Solon, Ohio). All bottles were incubated in situ at the depth of collection. Incubations were started before sunrise (usually between 05:00 and 06:00 h) and were terminated 24 h later. The productivity array was tracked using a Telonics, Inc. transponder platform subscribed to the ARGOS satellite tracking system. Total phytoplankton primary productivity was measured directly by filtering triplicate incubation bottles onto GF/F filters. This gave total primary productivity in the size fraction 0.7 to 200 um. Dark bottle productivity was also measured directly by filtering dark bottles directly onto GF/F filters (= dark productivity; 0.7-200 um). Size-fractionated rates of primary productivity of the picophytoplankton, nanophytoplankton and microphytoplankton were made by differential filtration. Two 1 liter bottles were filtered through a 20 um Nitex mesh then onto a 2 um Nuclepore filter (= nanophytoplankton, 2-20 um). Two or three 1 liter bottles were filtered through a 20 um Nitex mesh then onto a GF/F filter (= 0.7-20 um).\u00a0 Filters were treated with 500 ul of 0.5 N HCl and left under a fumehood for 24 hours, then combined with 10 ml scintillation cocktail.\u00a0 Radioactivity was determined in disintegrations per minute (DPM) by the shipboard liquid scintillation analyzer (Packard Tri-Carb 2000CA).\u00a0 Rates of primary productivity (PP) were calculated in units of mg C m-3 d-1 using the methods of Barber et al. (1996) with the addition of dark bottles: \u00a0\u00a0\u00a0 PP = (DPM24 \u2013 DPM0 \u2013 DPMd)/(1.05)(25200 mg C m-2)(DPMtot * time)-1\u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0 where DPM24 = activity on filter after 24 hour incubation; DPM0 = activity of (depth-specific) T0 particulate blank; DPMd = average of (depth-specific) dark bottles; DPMtot = total activity DPM of isotope added multiplied by volume of water filtered (DPM ml-1); 1.05 = constant that accounts for preferential uptake of the lighter isotope 12C over 14C; 25,200 = concentration (in mg m-2) of inorganic carbon in seawater. The rate of primary productivity for the picophytoplankton size class was determined by subtracting the nanophytoplankton productivity from the 0.7-20 um productivity. Primary productivity for the microphytoplankton size class was determined by subtracting the 0.7-20 um productivity from the total primary productivity, 0.7-200 um. Total and size-fractionated rates of primary productivity were integrated to 100 meters using trapezoidal integration (mg C m-2 d-1).
attribute	NC_GLOBAL	awards_0_award_nid	String	54642
attribute	NC_GLOBAL	awards_0_award_number	String	OCE-1030345
attribute	NC_GLOBAL	awards_0_data_url	String	http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1030345
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	David L. Garrison
attribute	NC_GLOBAL	awards_0_program_manager_nid	String	50534
attribute	NC_GLOBAL	cdm_data_type	String	Other
attribute	NC_GLOBAL	comment	String	Primary Production (Reported as mg C/m3/d) Project: Trophic BATS PI: Tammi L. Richardson (U. of S. Carolina) Co-PIs: Rob Condon (DISL) & Susanna Neuer (Arizona State U.) Version: 14 June 2013 Note: 'nd' = 'not determined'.
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	2013-04-15T16:11:48Z
attribute	NC_GLOBAL	date_modified	String	2019-10-31T15:44:41Z
attribute	NC_GLOBAL	defaultDataQuery	String	&time<now
attribute	NC_GLOBAL	doi	String	10.1575/1912/bco-dmo.3912.1
attribute	NC_GLOBAL	Easternmost_Easting	double	-63.4806
attribute	NC_GLOBAL	geospatial_lat_max	double	33.5007
attribute	NC_GLOBAL	geospatial_lat_min	double	29.5474
attribute	NC_GLOBAL	geospatial_lat_units	String	degrees_north
attribute	NC_GLOBAL	geospatial_lon_max	double	-63.4806
attribute	NC_GLOBAL	geospatial_lon_min	double	-65.7996
attribute	NC_GLOBAL	geospatial_lon_units	String	degrees_east
attribute	NC_GLOBAL	geospatial_vertical_max	double	200.0
attribute	NC_GLOBAL	geospatial_vertical_min	double	1.0
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/3912
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	Samples were obtained using the 24 bottle Niskin rosette from 3-4 depths.
attribute	NC_GLOBAL	instruments_0_dataset_instrument_nid	String	6135
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	Niskin bottle
attribute	NC_GLOBAL	instruments_1_acronym	String	CTD SBE 9
attribute	NC_GLOBAL	instruments_1_dataset_instrument_description	String	CTD casts were perfomed using a Sea-Bird Electronics SBE-09 plus (24 bottle Niskin rosette).
attribute	NC_GLOBAL	instruments_1_dataset_instrument_nid	String	6133
attribute	NC_GLOBAL	instruments_1_description	String	The Sea-Bird SBE 9 is a type of CTD instrument package. The SBE 9 is the Underwater Unit and is most often combined with the SBE 11 Deck Unit (for real-time readout using conductive wire) when deployed from a research vessel. The combination of the SBE 9 and SBE 11 is called a SBE 911. The SBE 9 uses Sea-Bird's standard modular temperature and conductivity sensors (SBE 3 and SBE 4). The SBE 9 CTD can be configured with auxiliary sensors to measure other parameters including dissolved oxygen, pH, turbidity, fluorometer, altimeter, etc.). Note that in most cases, it is more accurate to specify SBE 911 than SBE 9 since it is likely a SBE 11 deck unit was used. more information from Sea-Bird Electronics
attribute	NC_GLOBAL	instruments_1_instrument_external_identifier	String	https://vocab.nerc.ac.uk/collection/L05/current/130/
attribute	NC_GLOBAL	instruments_1_instrument_name	String	CTD Sea-Bird 9
attribute	NC_GLOBAL	instruments_1_instrument_nid	String	488
attribute	NC_GLOBAL	instruments_1_supplied_name	String	CTD Sea-Bird 9
attribute	NC_GLOBAL	instruments_2_acronym	String	Light-Dark Bottle
attribute	NC_GLOBAL	instruments_2_dataset_instrument_description	String	Primary productivity was measured using light-dark bottles incubated in situ.
attribute	NC_GLOBAL	instruments_2_dataset_instrument_nid	String	6134
attribute	NC_GLOBAL	instruments_2_description	String	The light/dark bottle is a way of measuring primary production by comparing before and after concentrations of dissolved oxygen. Bottles containing seawater samples with phytoplankton are incubated for a predetermined period of time under light and dark conditions. Incubation is preferably carried out in situ, at the depth from which the samples were collected. Alternatively, the light and dark bottles are incubated in a water trough on deck, and neutral density filters are used to approximate the light conditions at the collection depth.Rates of net and gross photosynthesis and respiration can be determined from measurements of dissolved oxygen concentration in the sample bottles.
attribute	NC_GLOBAL	instruments_2_instrument_external_identifier	String	https://vocab.nerc.ac.uk/collection/L05/current/82/
attribute	NC_GLOBAL	instruments_2_instrument_name	String	Light-Dark Bottle
attribute	NC_GLOBAL	instruments_2_instrument_nid	String	498
attribute	NC_GLOBAL	instruments_2_supplied_name	String	Light-Dark Bottle
attribute	NC_GLOBAL	keywords	String	bco, bco-dmo, biological, cast, chemical, cruise, cruise_id, dark, data, dataset, date, date_gmt, depth, dmo, erddap, fraction, iso, latitude, light, longitude, management, national, npp, oceanography, office, orbiting, partnership, polar, polar-orbiting, preliminary, prod, Prod_NPP_light, Prod_NPP_light_dark, sample, size, size_fraction, time, time_gmt
attribute	NC_GLOBAL	license	String	https://www.bco-dmo.org/dataset/3912/license
attribute	NC_GLOBAL	metadata_source	String	https://www.bco-dmo.org/api/dataset/3912
attribute	NC_GLOBAL	Northernmost_Northing	double	33.5007
attribute	NC_GLOBAL	param_mapping	String	{'3912': {'lat': 'master - latitude', 'depth': 'flag - depth', 'lon': 'master - longitude', 'ISO_DateTime_UTC': 'flag - time'}}
attribute	NC_GLOBAL	parameter_source	String	https://www.bco-dmo.org/mapserver/dataset/3912/parameters
attribute	NC_GLOBAL	people_0_affiliation	String	University of South Carolina
attribute	NC_GLOBAL	people_0_person_name	String	Tammi Richardson
attribute	NC_GLOBAL	people_0_person_nid	String	50838
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	Dauphin Island Sea Lab
attribute	NC_GLOBAL	people_1_affiliation_acronym	String	DISL
attribute	NC_GLOBAL	people_1_person_name	String	Robert Condon
attribute	NC_GLOBAL	people_1_person_nid	String	51335
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	Arizona State University
attribute	NC_GLOBAL	people_2_affiliation_acronym	String	ASU
attribute	NC_GLOBAL	people_2_person_name	String	Susanne Neuer
attribute	NC_GLOBAL	people_2_person_nid	String	51336
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	Woods Hole Oceanographic Institution
attribute	NC_GLOBAL	people_3_affiliation_acronym	String	WHOI BCO-DMO
attribute	NC_GLOBAL	people_3_person_name	String	Shannon Rauch
attribute	NC_GLOBAL	people_3_person_nid	String	51498
attribute	NC_GLOBAL	people_3_role	String	BCO-DMO Data Manager
attribute	NC_GLOBAL	people_3_role_type	String	related
attribute	NC_GLOBAL	project	String	Trophic BATS
attribute	NC_GLOBAL	projects_0_acronym	String	Trophic BATS
attribute	NC_GLOBAL	projects_0_description	String	Fluxes of particulate carbon from the surface ocean are greatly influenced by the size, taxonomic composition and trophic interactions of the resident planktonic community. Large and/or heavily-ballasted phytoplankton such as diatoms and coccolithophores are key contributors to carbon export due to their high sinking rates and direct routes of export through large zooplankton. The potential contributions of small, unballasted phytoplankton, through aggregation and/or trophic re-packaging, have been recognized more recently. This recognition comes as direct observations in the field show unexpected trends. In the Sargasso Sea, for example, shallow carbon export has increased in the last decade but the corresponding shift in phytoplankton community composition during this time has not been towards larger cells like diatoms. Instead, the abundance of the picoplanktonic cyanobacterium, Synechococccus, has increased significantly. The trophic pathways that link the increased abundance of Synechococcus to carbon export have not been characterized. These observations helped to frame the overarching research question, "How do plankton size, community composition and trophic interactions modify carbon export from the euphotic zone". Since small phytoplankton are responsible for the majority of primary production in oligotrophic subtropical gyres, the trophic interactions that include them must be characterized in order to achieve a mechanistic understanding of the function of the biological pump in the oligotrophic regions of the ocean. This requires a complete characterization of the major organisms and their rates of production and consumption. Accordingly, the research objectives are: 1) to characterize (qualitatively and quantitatively) trophic interactions between major plankton groups in the euphotic zone and rates of, and contributors to, carbon export and 2) to develop a constrained food web model, based on these data, that will allow us to better understand current and predict near-future patterns in export production in the Sargasso Sea. The investigators will use a combination of field-based process studies and food web modeling to quantify rates of carbon exchange between key components of the ecosystem at the Bermuda Atlantic Time-series Study (BATS) site. Measurements will include a novel DNA-based approach to characterizing and quantifying planktonic contributors to carbon export. The well-documented seasonal variability at BATS and the occurrence of mesoscale eddies will be used as a natural laboratory in which to study ecosystems of different structure. This study is unique in that it aims to characterize multiple food web interactions and carbon export simultaneously and over similar time and space scales. A key strength of the proposed research is also the tight connection and feedback between the data collection and modeling components. Characterizing the complex interactions between the biological community and export production is critical for predicting changes in phytoplankton species dominance, trophic relationships and export production that might occur under scenarios of climate-related changes in ocean circulation and mixing. The results from this research may also contribute to understanding of the biological mechanisms that drive current regional to basin scale variability in carbon export in oligotrophic gyres.
attribute	NC_GLOBAL	projects_0_end_date	String	2014-09
attribute	NC_GLOBAL	projects_0_geolocation	String	Sargasso Sea, BATS site
attribute	NC_GLOBAL	projects_0_name	String	Plankton Community Composition and Trophic Interactions as Modifiers of Carbon Export in the Sargasso Sea
attribute	NC_GLOBAL	projects_0_project_nid	String	2150
attribute	NC_GLOBAL	projects_0_start_date	String	2010-10
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	29.5474
attribute	NC_GLOBAL	standard_name_vocabulary	String	CF Standard Name Table v55
attribute	NC_GLOBAL	summary	String	Size-fractioned primary production rates from samples collected on R/V Atlantic Explorer cruises AE1102, AE1118, AE1206, AE1219 in the Sargasso Sea Bermuda Atlantic Time-Series Station in 2011-2012.
attribute	NC_GLOBAL	time_coverage_end	String	2012-07-30T10:35:00Z
attribute	NC_GLOBAL	time_coverage_start	String	2011-02-24T15:10:00Z
attribute	NC_GLOBAL	title	String	[primary production] - Size-fractioned primary production rates from samples collected on R/V Atlantic Explorer cruises AE1102, AE1118, AE1206, AE1219 in the Sargasso Sea Bermuda Atlantic Time-Series Station in 2011-2012 (Trophic BATS project) (Plankton Community Composition and Trophic Interactions as Modifiers of Carbon Export in the Sargasso Sea )
attribute	NC_GLOBAL	version	String	1
attribute	NC_GLOBAL	Westernmost_Easting	double	-65.7996
attribute	NC_GLOBAL	xml_source	String	osprey2erddap.update_xml() v1.3
variable	cruise_id		String
attribute	cruise_id	bcodmo_name	String	cruise_id
attribute	cruise_id	description	String	Official cruise identifier e.g. AE1102 = R/V Atlantic Explorer cruise number 1102.
attribute	cruise_id	long_name	String	Cruise Id
attribute	cruise_id	units	String	dimensionless
variable	date_gmt		String
attribute	date_gmt	bcodmo_name	String	date_gmt
attribute	date_gmt	description	String	Date of sample collection (GMT) in mmddYYYY format.
attribute	date_gmt	long_name	String	Date Gmt
attribute	date_gmt	units	String	unitless
variable	cast		byte
attribute	cast	_FillValue	byte	127
attribute	cast	actual_range	byte	1, 39
attribute	cast	bcodmo_name	String	cast
attribute	cast	description	String	CTD cast number.
attribute	cast	long_name	String	Cast
attribute	cast	units	String	dimensionless
variable	time_gmt		String
attribute	time_gmt	bcodmo_name	String	time_gmt
attribute	time_gmt	description	String	Time of sample collection (GMT); 24-hour clock.
attribute	time_gmt	long_name	String	Time Gmt
attribute	time_gmt	units	String	HHMM
variable	latitude		double
attribute	latitude	_CoordinateAxisType	String	Lat
attribute	latitude	_FillValue	double	NaN
attribute	latitude	actual_range	double	29.5474, 33.5007
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. Positive values = 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	-65.7996, -63.4806
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. Positive values = 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	time		double
attribute	time	_CoordinateAxisType	String	Time
attribute	time	actual_range	double	1.2985602E9, 1.3436445E9
attribute	time	axis	String	T
attribute	time	bcodmo_name	String	ISO_DateTime_UTC
attribute	time	description	String	Date/Time (UTC) formatted to ISO 8601 standard. T indicates start of time string; Z indicates UTC.
attribute	time	ioos_category	String	Time
attribute	time	long_name	String	ISO Date Time UTC
attribute	time	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P01/current/DTUT8601/
attribute	time	source_name	String	ISO_DateTime_UTC
attribute	time	standard_name	String	time
attribute	time	time_origin	String	01-JAN-1970 00:00:00
attribute	time	time_precision	String	1970-01-01T00:00:00Z
attribute	time	units	String	seconds since 1970-01-01T00:00:00Z
variable	depth		double
attribute	depth	_CoordinateAxisType	String	Height
attribute	depth	_CoordinateZisPositive	String	down
attribute	depth	_FillValue	double	NaN
attribute	depth	actual_range	double	1.0, 200.0
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	Sample 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	sample		String
attribute	sample	bcodmo_name	String	sample
attribute	sample	description	String	Sample identification number.
attribute	sample	long_name	String	Sample
attribute	sample	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P02/current/ACYC/
attribute	sample	units	String	dimensionless
variable	size_fraction		String
attribute	size_fraction	bcodmo_name	String	unknown
attribute	size_fraction	description	String	Size fraction; whole = whole water (not pre-screened).
attribute	size_fraction	long_name	String	Size Fraction
attribute	size_fraction	units	String	micrometers
variable	Prod_NPP_light		float
attribute	Prod_NPP_light	_FillValue	float	NaN
attribute	Prod_NPP_light	actual_range	float	0.0, 9.13
attribute	Prod_NPP_light	bcodmo_name	String	unknown
attribute	Prod_NPP_light	description	String	Raw (light) production.
attribute	Prod_NPP_light	long_name	String	Prod NPP Light
attribute	Prod_NPP_light	units	String	mg C/m3/d
variable	Prod_NPP_light_dark		float
attribute	Prod_NPP_light_dark	_FillValue	float	NaN
attribute	Prod_NPP_light_dark	actual_range	float	-0.5, 9.13
attribute	Prod_NPP_light_dark	bcodmo_name	String	unknown
attribute	Prod_NPP_light_dark	description	String	Light-dark production.
attribute	Prod_NPP_light_dark	long_name	String	Prod NPP Light Dark
attribute	Prod_NPP_light_dark	units	String	mg C/m3/d

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.