ERDDAP > info > bcodmo_dataset_3885

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	[algal classes] - ChemTax based chl-a of algal groups from R/V Atlantic Explorer cruises AE1102, AE1118, AE1206, AE1219 in the Sargasso Sea, Bermuda Atlantic Time-Series Station (BATS) from 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_3885

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). Microscopy Samples preserved in Lugol\u2019s were settled overnight in a 100 ml sedimentation chamber and enumerated at 400x using a Nikon TS-100 Eclipse inverted microscope. A minimum of 400 cells per sample were counted to give a confidence interval of \u00b110 % (Guillard, 1973). Phytoplankton taxa were identified to the lowest taxonomic level possible, that is, in most cases, to genus. HPLC and ChemTax Samples for HPLC analysis were lyophilized for 24 h at -50\u00b0 C, placed in 90% acetone (0.45-0.55 ml), and extracted at -20\u00b0 C for 24 h.\u00a0 Filtered extracts (350 \u00b5l) were injected into a Shimadzu HPLC equipped with a monomeric (Rainin Microsorb-MV, 0.46 x 10 cm, 3 \u00b5m) and a polymeric (Vydac 201TP54, 0.46 x 25 cm, 5 um) reverse-phase C18 column in series. A nonlinear binary gradient consisting of the solvents 80% methanol: 20% 0.50 M ammonium acetate and 80% methanol: 20% acetone was used for pigment separations (Pinckney et al. 1996). Absorption spectra and chromatograms (440 \u00b1 4 nm) were acquired using a Shimadzu SPD-M10av photodiode array detector. Pigment peaks were identified by comparison of retention times and absorption spectra with pure standards (DHI, Denmark). The synthetic carotenoid \u00df-apo-8'-carotenal (Sigma) was used as an internal standard. Contributions of individual algal groups to total community composition and to each size class was determined by chemical taxonomy using the ChemTax matrix (Mackey et al., 1996).
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	ChemTax-based Chl-a in Algal Classes (Reported as ug/L of chlorohyll a in each class) Project: Trophic BATS PI: Tammi L. Richardson (U. of S. Carolina) Co-PIs: Rob Condon (DISL) & Susanna Neuer (Arizona State U.) Version: 17 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	2013-03-11T16:00:14Z
attribute	NC_GLOBAL	date_modified	String	2019-11-01T15:34:31Z
attribute	NC_GLOBAL	defaultDataQuery	String	&time<now
attribute	NC_GLOBAL	doi	String	10.1575/1912/bco-dmo.3885.1
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/3885
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	6102
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	6101
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	HPLC
attribute	NC_GLOBAL	instruments_2_dataset_instrument_description	String	HPLC analysis was performed using a Shimadzu HPLC equipped with a monomeric (Rainin Microsorb-MV, 0.46 x 10 cm, 3 µm) and a polymeric (Vydac 201TP54, 0.46 x 25 cm, 5 um) reverse-phase C18 column in series. Absorption spectra and chromatograms (440 ± 4 nm) were acquired using a Shimadzu SPD-M10av photodiode array detector.
attribute	NC_GLOBAL	instruments_2_dataset_instrument_nid	String	6103
attribute	NC_GLOBAL	instruments_2_description	String	A High-performance liquid chromatograph (HPLC) is a type of liquid chromatography used to separate compounds that are dissolved in solution. HPLC instruments consist of a reservoir of the mobile phase, a pump, an injector, a separation column, and a detector. Compounds are separated by high pressure pumping of the sample mixture onto a column packed with microspheres coated with the stationary phase. The different components in the mixture pass through the column at different rates due to differences in their partitioning behavior between the mobile liquid phase and the stationary phase.
attribute	NC_GLOBAL	instruments_2_instrument_external_identifier	String	https://vocab.nerc.ac.uk/collection/L05/current/LAB11/
attribute	NC_GLOBAL	instruments_2_instrument_name	String	High Performance Liquid Chromatograph
attribute	NC_GLOBAL	instruments_2_instrument_nid	String	506
attribute	NC_GLOBAL	instruments_2_supplied_name	String	High Performance Liquid Chromatograph
attribute	NC_GLOBAL	instruments_3_acronym	String	Inverted Microscope
attribute	NC_GLOBAL	instruments_3_dataset_instrument_description	String	Samples preserved in Lugol’s were settled overnight in a 100 ml sedimentation chamber and enumerated at 400x using a Nikon TS-100 Eclipse inverted microscope
attribute	NC_GLOBAL	instruments_3_dataset_instrument_nid	String	6222
attribute	NC_GLOBAL	instruments_3_description	String	An inverted microscope is a microscope with its light source and condenser on the top, above the stage pointing down, while the objectives and turret are below the stage pointing up. It was invented in 1850 by J. Lawrence Smith, a faculty member of Tulane University (then named the Medical College of Louisiana). Inverted microscopes are useful for observing living cells or organisms at the bottom of a large container (e.g. a tissue culture flask) under more natural conditions than on a glass slide, as is the case with a conventional microscope. Inverted microscopes are also used in micromanipulation applications where space above the specimen is required for manipulator mechanisms and the microtools they hold, and in metallurgical applications where polished samples can be placed on top of the stage and viewed from underneath using reflecting objectives. The stage on an inverted microscope is usually fixed, and focus is adjusted by moving the objective lens along a vertical axis to bring it closer to or further from the specimen. The focus mechanism typically has a dual concentric knob for coarse and fine adjustment. Depending on the size of the microscope, four to six objective lenses of different magnifications may be fitted to a rotating turret known as a nosepiece. These microscopes may also be fitted with accessories for fitting still and video cameras, fluorescence illumination, confocal scanning and many other applications.
attribute	NC_GLOBAL	instruments_3_instrument_external_identifier	String	https://vocab.nerc.ac.uk/collection/L05/current/LAB05/
attribute	NC_GLOBAL	instruments_3_instrument_name	String	Inverted Microscope
attribute	NC_GLOBAL	instruments_3_instrument_nid	String	675
attribute	NC_GLOBAL	instruments_3_supplied_name	String	Inverted Microscope
attribute	NC_GLOBAL	keywords	String	bco, bco-dmo, biological, cast, chemical, cruise, cruise_id, cryptophytes, cyanobacteria, data, dataset, date, date_gmt, depth, diatoms, dinoflagellates, dmo, erddap, fraction, haptophytes, iso, latitude, longitude, management, oceanography, office, pelagophytes, prasinophytes, preliminary, sample, size, size_fraction, time, time_gmt
attribute	NC_GLOBAL	license	String	https://www.bco-dmo.org/dataset/3885/license
attribute	NC_GLOBAL	metadata_source	String	https://www.bco-dmo.org/api/dataset/3885
attribute	NC_GLOBAL	Northernmost_Northing	double	33.5007
attribute	NC_GLOBAL	param_mapping	String	{'3885': {'lat': 'master - latitude', 'depth': 'flag - depth', 'lon': 'master - longitude', 'ISO_DateTime_UTC': 'master - time'}}
attribute	NC_GLOBAL	parameter_source	String	https://www.bco-dmo.org/mapserver/dataset/3885/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	ChemTax based chl-a of algal groups are reported from four cruises in the Sargasso Sea during 2011 and 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	[algal classes] - ChemTax based chl-a of algal groups from R/V Atlantic Explorer cruises AE1102, AE1118, AE1206, AE1219 in the Sargasso Sea, Bermuda Atlantic Time-Series Station (BATS) from 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 in YYYY-mm-ddTHH:MM:SS.ssZ format. 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	cyanobacteria		float
attribute	cyanobacteria	_FillValue	float	NaN
attribute	cyanobacteria	actual_range	float	0.0, 6.547
attribute	cyanobacteria	bcodmo_name	String	chlorophyll a
attribute	cyanobacteria	description	String	Contribution by cyanobacteria to total community composition measured in ug/L of Chlorophyll-a.
attribute	cyanobacteria	long_name	String	Cyanobacteria
attribute	cyanobacteria	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P01/current/CPHLHPP1/
attribute	cyanobacteria	units	String	micrograms of Chl-a per liter
variable	prasinophytes		float
attribute	prasinophytes	_FillValue	float	NaN
attribute	prasinophytes	actual_range	float	0.0, 2.612
attribute	prasinophytes	bcodmo_name	String	chlorophyll a
attribute	prasinophytes	description	String	Contribution by prasinophytes to total community composition measured in ug/L of Chlorophyll-a.
attribute	prasinophytes	long_name	String	Prasinophytes
attribute	prasinophytes	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P01/current/CPHLHPP1/
attribute	prasinophytes	units	String	micrograms of Chl-a per liter
variable	cryptophytes		float
attribute	cryptophytes	_FillValue	float	NaN
attribute	cryptophytes	actual_range	float	0.0, 0.111
attribute	cryptophytes	bcodmo_name	String	chlorophyll a
attribute	cryptophytes	description	String	Contribution by cryptophytes to total community composition measured in ug/L of Chlorophyll-a.
attribute	cryptophytes	long_name	String	Cryptophytes
attribute	cryptophytes	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P01/current/CPHLHPP1/
attribute	cryptophytes	units	String	micrograms of Chl-a per liter
variable	diatoms		float
attribute	diatoms	_FillValue	float	NaN
attribute	diatoms	actual_range	float	0.0, 0.073
attribute	diatoms	bcodmo_name	String	chlorophyll a
attribute	diatoms	description	String	Contribution by diatoms to total community composition measured in ug/L of Chlorophyll-a.
attribute	diatoms	long_name	String	Diatoms
attribute	diatoms	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P01/current/CPHLHPP1/
attribute	diatoms	units	String	micrograms of Chl-a per liter
variable	pelagophytes		float
attribute	pelagophytes	_FillValue	float	NaN
attribute	pelagophytes	actual_range	float	0.0, 0.407
attribute	pelagophytes	bcodmo_name	String	chlorophyll a
attribute	pelagophytes	description	String	Contribution by pelagophytes to total community composition measured in ug/L of Chlorophyll-a.
attribute	pelagophytes	long_name	String	Pelagophytes
attribute	pelagophytes	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P01/current/CPHLHPP1/
attribute	pelagophytes	units	String	micrograms of Chl-a per liter
variable	haptophytes		float
attribute	haptophytes	_FillValue	float	NaN
attribute	haptophytes	actual_range	float	0.0, 2.844
attribute	haptophytes	bcodmo_name	String	chlorophyll a
attribute	haptophytes	description	String	Contribution by haptophytes to total community composition measured in ug/L of Chlorophyll-a.
attribute	haptophytes	long_name	String	Haptophytes
attribute	haptophytes	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P01/current/CPHLHPP1/
attribute	haptophytes	units	String	micrograms of Chl-a per liter
variable	dinoflagellates		float
attribute	dinoflagellates	_FillValue	float	NaN
attribute	dinoflagellates	actual_range	float	0.0, 0.432
attribute	dinoflagellates	bcodmo_name	String	chlorophyll a
attribute	dinoflagellates	colorBarMaximum	double	150.0
attribute	dinoflagellates	colorBarMinimum	double	0.0
attribute	dinoflagellates	description	String	Contribution by dinoflagellates to total community composition measured in ug/L of Chlorophyll-a.
attribute	dinoflagellates	long_name	String	Dinoflagellates
attribute	dinoflagellates	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P01/current/CPHLHPP1/
attribute	dinoflagellates	units	String	micrograms of Chl-a per liter

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