ERDDAP > info > bcodmo_dataset_808413

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	[Field domoic acid and copepods] - Domoic acid assimilation in copepods by consuming organic polymers and Pseudo-nitzschia from experiments conducted using water samples collected in northern Gulf of Mexico in 2017 and 2018. (The biotic and abiotic controls on the Silicon cycle in the northern Gulf of Mexico)		F   I   M	background			BCO-DMO	bcodmo_dataset_808413

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	Location Water collection sites in the northern Gulf of Mexico, particularly at the mouth of Mobile Bay and Little Lagoon, AL. Water Collection Briefly, water was collected from the field using a 5-gallon bucket, pre- screened with a 200 \u00b5m nitex mesh, and gently poured into 10-20 L carboys and kept in the dark until returning to the laboratory for same-day processing. Terminology dDA \u2013 dissolved Domoic Acid pDAa \u2013 particulate Domoic Acid (algal fraction) pDAOP \u2013 particulate Domoic Acid (bound to organic polymers) cDA \u2013 Domoic Acid in copepods POC \u2013 Particulate Organic Carbon Field-simulation experiments Field water used for grazing experiments was collected during spring and summer (2017, 2018) from designated monitoring sites at Little Lagoon (Gulf Shores, Alabama, USA). The water was prefiltered with a 200 \u00b5m mesh, gently poured into carboys, and kept in the dark until the start of the laboratory experiment. Laboratory-reared adult Acartia tonsa, with no prior exposure to DA, were provided by the University of Southern Mississippi Gulf Coast Research Laboratory\u2019s Thad Cochran Marine Aquaculture Center and starved for 24 hours prior to experiment initiation. Initial samples for Pseudo-nitzschia abundance and DA were collected. For cell abundance, 50 mL of seawater was preserved with 2 mL of Bouin\u2019s solution and stored at 4\u00b0C. A Sedgewick rafter slide was used to count cells in a 1 mL subsample. DA was measured in two forms, dDA and pDA. Seawater was filtered using a 25 mm glass fiber filter and 30 mL of filtrate was collected in a polypropylene conical tube and stored at -20\u00b0C for later analysis of dDA. pDA was sampled by filtering 100 mL of seawater under low vacuum through a 25 mm glass fiber filter and stored in a cryovial at -20\u00b0C. The experimental design consisted of four treatments, each containing triplicate 1-L polycarbonate bottles. Two treatments contained seawater filtered through a 0.2 \u00b5m polycap filter (as described above); these treatments tested whether copepods could assimilate dDA through the proposed organic polymer-bound pathway. The remaining treatments contained seawater with a natural phytoplankton community that was concentrated by a factor of three, using a 20 \u00b5m mesh. After the bottles were filled with the appropriate water, 30 copepods were added to the necessary treatments and the experiments started. After 24 hours the copepods were collected on a 200 \u00b5m screen, gently rinsed with filtered seawater, placed in fresh filtered artificial seawater, and allowed to evacuate their guts for ~1 hour. Afterwards, copepods were once again screened and rinsed three times, and then stored in a cryovial at -20\u00b0C until analysis. Liquid chromatography-mass spectrometry method for domoic acid quantification LC-MS sample preparation followed was modified from Wang et al. (2012) for the determination of dDA, pDA, pDAOP and cDA. The samples for DA determination were cleaned and concentrated using Bond Elut LRC - C18, 200 mg, solid-phase extraction (SPE) columns from Agilent Technologies. For dDA, 30 mL seawater samples were filtered using a 47 mm glass fiber filter; the filtrate was collected and acidified with formic acid to yield a 0.2% final solution. SPE columns were conditioned with one column volume of HPLC-grade methanol followed by one column volume of HPLC-grade water. Samples were then loaded on the SPE column and filtered at ~1 mL min-1 using a vacuum manifold, followed by 10 mL of 0.2% formic acid as a rinse for the sample tube and SPE column. The SPE column was then allowed to go dry and was eluted with 1.5 mL of 20 mM ammonium acetate in 50% methanol (pH 8) and collected in a glass tube. The tubes were centrifuged for 5 minutes at ~1300 x g, supernatant was transferred into an LC vial with a Pasteur pipette, and stored at 4\u00b0C until further analysis. For pDAa 100 mL of seawater were filtered through a 5 \u00b5m polycarbonate filter and stored in a 50 mL polypropylene tube at -20\u00b0C. Similarly, for pDAOP 150 mL of seawater was filtered through a pre-combusted 25 mm glass-fiber filter and stored at -20\u00b0C. Prior to concentration and clean-up for pDA, pDAOP, and cDA, the filters were submerged in 2 mL of 80% methanol and sonicated to ensure cells and copepods were lysed. Sonication pulses were done for a total of 45 seconds (5 seconds on/off) on a Sonics Materials Ultrasonic Processor (model - VCX 130) at 75% power. Subsequent clean-up using the SPE column is the same as for the dDA samples. An ultra-performance liquid chromatography (UPLC) \u2013 tandem mass spectrometry (MS) system was used for the quantification of DA.The LC-MS system consisted of Acquity UPLC system (Waters, Milford, MA) coupled to a 5500 QTRAP triple quadrupole / linear ion trap mass spectrometer equipped with a TurboIonSpray interface (Sciex, Foster City, CA, USA). The analytes were separated on a Luna C18 (2), 2.0 x 100 mm column (Phenomenex, Torrance, CA, USA) with column temperature held at 40\u00baC. The mobile phase was water (A) and 95% aqueous acetonitrile (B) with 0.1% formic acid additive and the flow rate was 0.4 ml/min. Gradient program was: 5% B for 3 min, linear gradient to 60% B at 10 min, 95% B at 10.1 min, hold at 95% B for 2 min. MS was operated in positive ion mode. Ion spray voltage was 5 kV and declustering potential was 80 V. Gas parameter settings were: nebulizer gas, 50 psi; turbo gas, 50 psi at 500\u00baC; curtain gas, 20 psi; and collision gas, medium setting. The collision energy applied was 25eV. The transitions used for selected reaction monitoring were m/z 312\u2192266, 193, 220. The transition m/z 312\u2192266 was used for quantitation. For organic polymer formation and sorption of DA results and methodology see [https://www.bco-dmo.org/dataset/808280](\\"https://www.bco- dmo.org/dataset/808280\\").
attribute	NC_GLOBAL	awards_0_award_nid	String	712666
attribute	NC_GLOBAL	awards_0_award_number	String	OCE-1558957
attribute	NC_GLOBAL	awards_0_data_url	String	http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1558957
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	awards_1_award_nid	String	808394
attribute	NC_GLOBAL	awards_1_award_number	String	5U19FD005923-04
attribute	NC_GLOBAL	awards_1_data_url	String	https://federalreporter.nih.gov/Projects/Details/?projectId=1156385
attribute	NC_GLOBAL	awards_1_funder_name	String	U.S. Food and Drug Administration
attribute	NC_GLOBAL	awards_1_funding_acronym	String	FDA
attribute	NC_GLOBAL	awards_1_funding_source_nid	String	808392
attribute	NC_GLOBAL	awards_1_program_manager	String	William Burkhardt
attribute	NC_GLOBAL	awards_1_program_manager_nid	String	808393
attribute	NC_GLOBAL	cdm_data_type	String	Other
attribute	NC_GLOBAL	comment	String	Field DA P.nitz PI: Jeffrey W Krause Data Version 1: 2020-06-24
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	dataset_current_state	String	Final and no updates
attribute	NC_GLOBAL	date_created	String	2020-04-07T15:26:37Z
attribute	NC_GLOBAL	date_modified	String	2020-07-14T18:51:33Z
attribute	NC_GLOBAL	defaultDataQuery	String	&time<now
attribute	NC_GLOBAL	doi	String	10.26008/1912/bco-dmo.808413.1
attribute	NC_GLOBAL	Easternmost_Easting	double	-87.554261
attribute	NC_GLOBAL	geospatial_lat_max	double	30.278166
attribute	NC_GLOBAL	geospatial_lat_min	double	30.234973
attribute	NC_GLOBAL	geospatial_lat_units	String	degrees_north
attribute	NC_GLOBAL	geospatial_lon_max	double	-87.554261
attribute	NC_GLOBAL	geospatial_lon_min	double	-87.809526
attribute	NC_GLOBAL	geospatial_lon_units	String	degrees_east
attribute	NC_GLOBAL	infoUrl	String	https://www.bco-dmo.org/dataset/808413
attribute	NC_GLOBAL	institution	String	BCO-DMO
attribute	NC_GLOBAL	instruments_0_acronym	String	Mass Spec
attribute	NC_GLOBAL	instruments_0_dataset_instrument_description	String	Acquity UPLC system (Waters, Milford, MA) coupled to a 5500 QTRAP triple quadrupole / linear ion trap mass spectrometer equipped with a TurboIonSpray interface (Sciex, Foster City, CA, USA).
attribute	NC_GLOBAL	instruments_0_dataset_instrument_nid	String	808422
attribute	NC_GLOBAL	instruments_0_description	String	General term for instruments used to measure the mass-to-charge ratio of ions; generally used to find the composition of a sample by generating a mass spectrum representing the masses of sample components.
attribute	NC_GLOBAL	instruments_0_instrument_external_identifier	String	https://vocab.nerc.ac.uk/collection/L05/current/LAB16/
attribute	NC_GLOBAL	instruments_0_instrument_name	String	Mass Spectrometer
attribute	NC_GLOBAL	instruments_0_instrument_nid	String	685
attribute	NC_GLOBAL	instruments_0_supplied_name	String	Acquity UPLC system coupled to a 5500 QTRAP
attribute	NC_GLOBAL	instruments_1_acronym	String	Homogenizer
attribute	NC_GLOBAL	instruments_1_dataset_instrument_nid	String	808421
attribute	NC_GLOBAL	instruments_1_description	String	A homogenizer is a piece of laboratory equipment used for the homogenization of various types of material, such as tissue, plant, food, soil, and many others.
attribute	NC_GLOBAL	instruments_1_instrument_name	String	Homogenizer
attribute	NC_GLOBAL	instruments_1_instrument_nid	String	522984
attribute	NC_GLOBAL	instruments_1_supplied_name	String	Sonics Materials Ultrasonic Processor (model - VCX 130)
attribute	NC_GLOBAL	instruments_2_acronym	String	Costech ECS 4010
attribute	NC_GLOBAL	instruments_2_dataset_instrument_nid	String	808423
attribute	NC_GLOBAL	instruments_2_description	String	The ECS 4010 Nitrogen / Protein Analyzer is an elemental combustion analyser for CHNSO elemental analysis and Nitrogen / Protein determination. The GC oven and separation column have a temperature range of 30-110 degC, with control of +/- 0.1 degC.
attribute	NC_GLOBAL	instruments_2_instrument_name	String	Costech International Elemental Combustion System (ECS) 4010
attribute	NC_GLOBAL	instruments_2_instrument_nid	String	793023
attribute	NC_GLOBAL	keywords	String	bco, bco-dmo, biological, bottle, cell, Cell_tox, chemical, conc, cop, DA_cop_indiv, daa, data, dataset, date, dDA_conc, density, dmo, erddap, experiment, indiv, iso, latitude, longitude, management, oceanography, office, pDAa_conc, pnitz, Pnitz_density, preliminary, replicate, Replicate_bottle, time, time2, tox, treatment
attribute	NC_GLOBAL	license	String	https://www.bco-dmo.org/dataset/808413/license
attribute	NC_GLOBAL	metadata_source	String	https://www.bco-dmo.org/api/dataset/808413
attribute	NC_GLOBAL	Northernmost_Northing	double	30.278166
attribute	NC_GLOBAL	param_mapping	String	{'808413': {'Latitude_N': 'master - latitude', 'Longitude_W': 'master - longitude', 'ISO_DateTime_UTC': 'master - time'}}
attribute	NC_GLOBAL	parameter_source	String	https://www.bco-dmo.org/mapserver/dataset/808413/parameters
attribute	NC_GLOBAL	people_0_affiliation	String	Dauphin Island Sea Lab
attribute	NC_GLOBAL	people_0_affiliation_acronym	String	DISL
attribute	NC_GLOBAL	people_0_person_name	String	Jeffrey W Krause
attribute	NC_GLOBAL	people_0_person_nid	String	544582
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	Louisiana State University
attribute	NC_GLOBAL	people_1_affiliation_acronym	String	LSU
attribute	NC_GLOBAL	people_1_person_name	String	Kanchan Maiti
attribute	NC_GLOBAL	people_1_person_nid	String	712671
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	Dauphin Island Sea Lab
attribute	NC_GLOBAL	people_2_affiliation_acronym	String	DISL
attribute	NC_GLOBAL	people_2_person_name	String	Israel A. Marquez Jr.
attribute	NC_GLOBAL	people_2_person_nid	String	808389
attribute	NC_GLOBAL	people_2_role	String	Contact
attribute	NC_GLOBAL	people_2_role_type	String	related
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	Amber D. York
attribute	NC_GLOBAL	people_3_person_nid	String	643627
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	CLASiC
attribute	NC_GLOBAL	projects_0_acronym	String	CLASiC
attribute	NC_GLOBAL	projects_0_description	String	NSF Award Abstract: The Louisiana Shelf system in the northern Gulf of Mexico is fed by the Mississippi River and its many tributaries which contribute large quantities of nutrients from agricultural fertilizer to the region. Input of these nutrients, especially nitrogen, has led to eutrophication. Eutrophication is the process wherein a body of water such as the Louisiana Shelf becomes enriched in dissolved nutrients that increase phytoplankton growth which eventually leads to decreased oxygen levels in bottom waters. This has certainly been observed in this area, and diatoms, a phytoplankton which represents the base of the food chain, have shown variable silicon/nitrogen (Si/N) ratios. Because diatoms create their shells from silicon, their growth is controlled not only by nitrogen inputs but the availability of silicon. Lower Si/N ratios are showing that silicon may be playing an increasingly important role in regulating diatom production in the system. For this reason, a scientist from the University of South Alabama will determine the biogeochemical processes controlling changes in Si/N ratios in the Louisiana Shelf system. One graduate student on their way to a doctorate degree and three undergraduate students will be supported and trained as part of this project. Also, four scholarships for low-income, high school students from Title 1 schools will get to participate in a month-long summer Marine Science course at the Dauphin Island Sea Laboratory and be included in the research project. The study has significant societal benefits given this is an area where $2.4 trillion gross domestic product revenue is tied up in coastal resources. Since diatoms are at the base of the food chain that is the biotic control on said coastal resources, the growth of diatoms in response to eutrophication is important to study. Eutrophication of the Mississippi River and its tributaries has the potential to alter the biological landscape of the Louisiana Shelf system in the northern Gulf of Mexico by influencing the Si/N ratios below those that are optimal for diatom growth. A scientist from the University of South Alabama believes the observed changes in the Si/N ratio may indicate silicon now plays an important role in regulating diatom production in the system. As such, understanding the biotic and abiotic processes controlling the silicon cycle is crucial because diatoms dominate at the base of the food chain in this highly productive region. The study will focus on following issues: (1) the importance of recycled silicon sources on diatom production; (2) can heavily-silicified diatoms adapt to changing Si/N ratios more effectively than lightly-silicified diatoms; and (3) the role of reverse weathering in sequestering silicon thereby reducing diffusive pore-water transport. To attain these goals, a new analytical approach, the PDMPO method (compound 2-(4-pyridyl)-5-((4-(2-dimethylaminoethylamino-carbamoyl)methoxy)phenyl)oxazole) that quantitatively measures taxa-specific silica production would be used.
attribute	NC_GLOBAL	projects_0_end_date	String	2019-03
attribute	NC_GLOBAL	projects_0_geolocation	String	Northern Gulf of Mexico, specifically the Louisiana Shelf region dominated by the discharge of the Mississippi River on the western side of the delta
attribute	NC_GLOBAL	projects_0_name	String	The biotic and abiotic controls on the Silicon cycle in the northern Gulf of Mexico
attribute	NC_GLOBAL	projects_0_project_nid	String	712667
attribute	NC_GLOBAL	projects_0_start_date	String	2016-04
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	30.234973
attribute	NC_GLOBAL	standard_name_vocabulary	String	CF Standard Name Table v55
attribute	NC_GLOBAL	summary	String	Domoic acid assimilation in copepods by consuming organic polymers and Pseudo-nitzschia. Results from experiments designed to investigate the contribution of organic polymers and Pseudo-nitzschia to domoic acid trophic transfer. Water samples were collected in the northern Gulf of Mexico in 2017 and 2018.
attribute	NC_GLOBAL	time_coverage_end	String	2018-05-15T09:30Z
attribute	NC_GLOBAL	time_coverage_start	String	2017-07-12T16:00Z
attribute	NC_GLOBAL	title	String	[Field domoic acid and copepods] - Domoic acid assimilation in copepods by consuming organic polymers and Pseudo-nitzschia from experiments conducted using water samples collected in northern Gulf of Mexico in 2017 and 2018. (The biotic and abiotic controls on the Silicon cycle in the northern Gulf of Mexico)
attribute	NC_GLOBAL	version	String	1
attribute	NC_GLOBAL	Westernmost_Easting	double	-87.809526
attribute	NC_GLOBAL	xml_source	String	osprey2erddap.update_xml() v1.5
variable	time		double
attribute	time	_CoordinateAxisType	String	Time
attribute	time	actual_range	double	1.4998752E9, 1.5263766E9
attribute	time	axis	String	T
attribute	time	bcodmo_name	String	ISO_DateTime_UTC
attribute	time	description	String	Date/Time (UTC) in ISO 8601 format yyyy-mm-ddTHH:MMZ
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	1970-01-01T00:00Z
attribute	time	units	String	seconds since 1970-01-01T00:00:00Z
variable	latitude		double
attribute	latitude	_CoordinateAxisType	String	Lat
attribute	latitude	_FillValue	double	NaN
attribute	latitude	actual_range	double	30.234973, 30.278166
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 decimal degrees
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	source_name	String	Latitude_N
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	-87.809526, -87.554261
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 decimal degrees
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	source_name	String	Longitude_W
attribute	longitude	standard_name	String	longitude
attribute	longitude	units	String	degrees_east
variable	Date		int
attribute	Date	_FillValue	int	2147483647
attribute	Date	actual_range	int	20170712, 20180515
attribute	Date	bcodmo_name	String	date_local
attribute	Date	description	String	Local date water was collected in format yyyymmdd
attribute	Date	long_name	String	Date
attribute	Date	units	String	unitless
variable	time2		String
attribute	time2	bcodmo_name	String	time_local
attribute	time2	description	String	Local time water was collected in format hhmm (24 hr)
attribute	time2	long_name	String	Time
attribute	time2	units	String	unitless
variable	Experiment		String
attribute	Experiment	bcodmo_name	String	exp_id
attribute	Experiment	description	String	Experiment name
attribute	Experiment	long_name	String	Experiment
attribute	Experiment	units	String	unitless
variable	Treatment		String
attribute	Treatment	bcodmo_name	String	treatment
attribute	Treatment	description	String	Treatment name
attribute	Treatment	long_name	String	Treatment
attribute	Treatment	units	String	unitless
variable	Replicate_bottle		String
attribute	Replicate_bottle	bcodmo_name	String	replicate
attribute	Replicate_bottle	description	String	Letters denote a unique bottle that was sampled for each measurement
attribute	Replicate_bottle	long_name	String	Replicate Bottle
attribute	Replicate_bottle	units	String	unitless
variable	dDA_conc		float
attribute	dDA_conc	_FillValue	float	NaN
attribute	dDA_conc	actual_range	float	-2.0E-4, 1.2209
attribute	dDA_conc	bcodmo_name	String	domoic acid
attribute	dDA_conc	description	String	dissolved Domoic Acid in seawater
attribute	dDA_conc	long_name	String	D DA Conc
attribute	dDA_conc	units	String	micrograms (µg) per liter (L)
variable	pDAa_conc		float
attribute	pDAa_conc	_FillValue	float	NaN
attribute	pDAa_conc	actual_range	float	-0.035, 149.159
attribute	pDAa_conc	bcodmo_name	String	domoic acid
attribute	pDAa_conc	description	String	particulate Domoic Acid particles (> 5 um) in seawater
attribute	pDAa_conc	long_name	String	P DAa Conc
attribute	pDAa_conc	units	String	nanograms (ng) per liter (L)
variable	Cell_tox		float
attribute	Cell_tox	_FillValue	float	NaN
attribute	Cell_tox	actual_range	float	0.0, 0.879
attribute	Cell_tox	bcodmo_name	String	domoic acid
attribute	Cell_tox	description	String	Cell toxicity, domoic acid normalized per Pseudo-nitzschia cell
attribute	Cell_tox	long_name	String	Cell Tox
attribute	Cell_tox	units	String	picograms (pg) per cell
variable	Pnitz_density		int
attribute	Pnitz_density	_FillValue	int	2147483647
attribute	Pnitz_density	actual_range	int	0, 513333
attribute	Pnitz_density	bcodmo_name	String	cell_concentration
attribute	Pnitz_density	description	String	Pseudo-nitzschia cell concentration
attribute	Pnitz_density	long_name	String	Pnitz Density
attribute	Pnitz_density	units	String	cells per liter
variable	DA_cop_indiv		float
attribute	DA_cop_indiv	_FillValue	float	NaN
attribute	DA_cop_indiv	actual_range	float	0.0, 48.1
attribute	DA_cop_indiv	bcodmo_name	String	domoic acid
attribute	DA_cop_indiv	description	String	Total Domoic Acid in copepods normalized per individual
attribute	DA_cop_indiv	long_name	String	DA Cop Indiv
attribute	DA_cop_indiv	units	String	picograms (pg) per copepod

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.