ERDDAP > info > bcodmo_dataset_762772

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	[AE1812 Redox data] - Redox data from RV/Atlantic Explorer AE1812 in the northwest Atlantic, May 2018 (Collaborative Research: Defining the biogeochemical drivers of diatom physiological ecology in the North Atlantic)		I   M	background			BCO-DMO	bcodmo_dataset_762772

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
attribute	NC_GLOBAL	acquisition_description	String	All data were collected from a modified procedure as described in Van Mooy et al (2015). Sampling - Sampling was conducted aboard the R/V Atlantic Explorer during a cruise in May 2018.\u00a0 Water samples for whole community analyses were collected from Niskin bottles deployed on a rosette with a CTD.\u00a0 Subsamples (1-4 L) for incubations were dispensed from the Niskin bottle into acid-washed polyethylene bottles and promptly taken to a laboratory van for incubation setup and processing. At two stations Trichodesmium colonies were also acquired for uptake and reduction experiments. Briefly, colonies were collected near the surface with a handheld 130 \u00b5m net. 6 to 20 colonies were washed twice with freshly filtered (0.2 \u00b5m pore size polycarbonate membrane) surface seawater before being transferred into 50 mL of filtered seawater for incubation as described below. At three stations sinking particles were collected using 1.25 m diameter free-floating net traps for 24-hour deployments (Peterson et al. 2005). Once recovered, the particle slurry was further split into 12 equal fractions using an electric splitter (Lamborg et al. 2008). One split was used for total phosphate uptake and reduction measurements as described below where particle slurries were incubated in the dark in 50 to 125 mL of seawater. [C.H. Lamborg, K.O. Bruesseler, J. Valdes, C.H. Bertrand, R. Bidigare, S. Manganini, etc, The flux of bio- and lithogenic material associated with sinking particles in the mesopelagic \u201ctwilight zone\u201d of the northwest and North Central Pacific Ocean. Deep-Sea Res II 55, 1540 (2008). M.L. Peterson, S.G. Wakeham, C. Lee, M.A. Askea, J.C. Miquel, Novel techniques for collection of sinking particles in the ocean and determining their settling rates. Limnol Oceanogr Methods 3, 520 (2005).] Phosphate uptake rates \u2013 50 mL samples of seawater were added to acid- washed polycarbonate incubation bottles. Each incubation bottle was spiked with approximately 2 \u00b5Ci of 33P-phosphoric acid.\u00a0 The final concentration of 33P-phosphate in the incubations was less than 10 pmol L-1, which was likely two orders of magnitude smaller than ambient phosphate concentrations. The bottles were capped and mixed by gently inverting.\u00a0 To account for any abiotic adsorption of the radioactive tracer, additional 50 mL subsamples were spiked with 10% paraformaldehyde prior to the addition of the 33P-phosphoric acid. These \u201ckilled controls\u201d were used for blank subtractions in uptake and reduction rate calculations. All bottles were placed in a flow-through on-deck incubator that was maintained at surface seawater temperatures by continually flushing it with the surface seawater from the ship\u2019s pumping system.\u00a0 Temperature in the incubators was occasionally monitored with a waterproof temperature logger (Onset).\u00a0 The incubators used blue transparent film to achieve a light intensity to mimic 30% PAR. About half of the surface water samples were placed in a dark incubator to determine the affect light had on the incubations. For depth profiles, the incubators used a combination of neutral density screening and blue transparent film to achieve a light intensity to mimic PAR throughout the water column while samples with less than 1% PAR were placed in a dark incubator. After an appropriate amount of time, the incubations were terminated and 5 mL of sample was vacuum filtered (approximately 200 mbar) onto 25 mm diameter 0.2 \u00b5m pore size polycarbonate membranes (Millipore). The membranes were quickly rinsed three times with freshly filtered (0.2 \u00b5m pore size polycarbonate membrane) surface seawater.\u00a0 The membranes were then immediately placed in a liquid scintillation vial containing 10 mL of UltimaGold liquid (Perkin Elmer) scintillation cocktail, which was then shaken vigorously.\u00a0 The 33P-radioacitivity in the vials was determined using a liquid scintillation counter (Perkin Elmer). Phosphate reduction to intracellular P(III) compounds \u2013 The remaining 45 mL of sample was vacuum filtered as described above. Next, the membranes were immersed in 1.0 mL of ultra-high purity (UHP) deionized water (18 M\u03a9*cm) in a cryovial (Fisher).\u00a0 The vials were immediately capped and flash frozen for storage and transport back to the on-shore laboratory. For further analysis, the samples were subject to three freeze/thaw cycles where the cryovial was immersed in liquid nitrogen for approximately 10 min, before they were immersed in boiling-hot water for 10 min, and then vigorously shaken.\u00a0 Next, 100 \u00b5L aliquots of the samples were injected onto an IC system (Dionex) which pumped an eluent gradient of 23 mmol L-1 to 90 mmol L-1 sodium hydroxide through an IonPac AS18 (Dionex) column at a rate of 1.0 mL min-1.\u00a0 An ion suppressor using UHP water as a regenerant removed sodium hydroxide from the eluent. Three fractions were collected in 60 second intervals at retention times where pure standards of (1) hypophosphorus acid (2) methyl-phosphonate, 2-hydroxethyl-phosphonate, and (3) phosphorus acid elute and the 33P-radioactivity determined as described above. The 33P- radioactivity of the three fractions was summed, corrected for dilution, and then divided by the 33P-radioactivity from the parallel 33P-phosphate uptake subsamples to determine the fraction (%) of 33P uptake that was incorporated into P (III) compounds.\u00a0 All uptake samples were processed at sea in May 2018 and all reduction samples were processed onshore in July 2018. Radioactive decay was accounted for in the final counts per minute (cpm) values.
attribute	NC_GLOBAL	awards_0_award_nid	String	704767
attribute	NC_GLOBAL	awards_0_award_number	String	OCE-1558490
attribute	NC_GLOBAL	awards_0_data_url	String	http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1558490
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	awards_1_award_nid	String	704773
attribute	NC_GLOBAL	awards_1_award_number	String	OCE-1558506
attribute	NC_GLOBAL	awards_1_data_url	String	http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1558506
attribute	NC_GLOBAL	awards_1_funder_name	String	NSF Division of Ocean Sciences
attribute	NC_GLOBAL	awards_1_funding_acronym	String	NSF OCE
attribute	NC_GLOBAL	awards_1_funding_source_nid	String	355
attribute	NC_GLOBAL	awards_1_program_manager	String	David L. Garrison
attribute	NC_GLOBAL	awards_1_program_manager_nid	String	50534
attribute	NC_GLOBAL	awards_2_award_nid	String	746564
attribute	NC_GLOBAL	awards_2_award_number	String	OCE-1536346
attribute	NC_GLOBAL	awards_2_data_url	String	http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1536346
attribute	NC_GLOBAL	awards_2_funder_name	String	NSF Division of Ocean Sciences
attribute	NC_GLOBAL	awards_2_funding_acronym	String	NSF OCE
attribute	NC_GLOBAL	awards_2_funding_source_nid	String	355
attribute	NC_GLOBAL	awards_2_program_manager	String	Henrietta N Edmonds
attribute	NC_GLOBAL	awards_2_program_manager_nid	String	51517
attribute	NC_GLOBAL	cdm_data_type	String	Other
attribute	NC_GLOBAL	comment	String	Redox data from RV/Atlantic Explorer AE1812, May 2018 PI: T. Rynearson (URI) version date: 2019-03-20 NOTE: Sample_type: Comm.=Whole community, CommD.=Whole communinty in dark incubation, Tricho.=Trichodesmium colonies, Sed.=Sinking particles 33P-phosphate rates and uptake values are blank corrected
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	2019-03-20T19:03:37Z
attribute	NC_GLOBAL	date_modified	String	2019-03-21T21:08:53Z
attribute	NC_GLOBAL	defaultDataQuery	String	&time<now
attribute	NC_GLOBAL	doi	String	10.1575/1912/bco-dmo.762772.1
attribute	NC_GLOBAL	geospatial_vertical_max	double	172.0
attribute	NC_GLOBAL	geospatial_vertical_min	double	4.0
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/762772
attribute	NC_GLOBAL	institution	String	BCO-DMO
attribute	NC_GLOBAL	instruments_0_acronym	String	Niskin bottle
attribute	NC_GLOBAL	instruments_0_dataset_instrument_nid	String	762785
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_1_acronym	String	CTD
attribute	NC_GLOBAL	instruments_1_dataset_instrument_nid	String	762784
attribute	NC_GLOBAL	instruments_1_description	String	The Conductivity, Temperature, Depth (CTD) unit is an integrated instrument package designed to measure the conductivity, temperature, and pressure (depth) of the water column. The instrument is lowered via cable through the water column and permits scientists observe the physical properties in real time via a conducting cable connecting the CTD to a deck unit and computer on the ship. The CTD is often configured with additional optional sensors including fluorometers, transmissometers and/or radiometers. It is often combined with a Rosette of water sampling bottles (e.g. Niskin, GO-FLO) for collecting discrete water samples during the cast. This instrument designation is used when specific make and model are not known.
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 profiler
attribute	NC_GLOBAL	instruments_1_instrument_nid	String	417
attribute	NC_GLOBAL	instruments_2_acronym	String	Sed Trap - Part Int
attribute	NC_GLOBAL	instruments_2_dataset_instrument_description	String	"Based on the design of a closing plankton net capable of collecting large amounts (~1 g) of very fresh sinking particulate material in short time periods (24-36 h) to facilitate microbial decomposition experiment." (Peterson et al, 2005)
attribute	NC_GLOBAL	instruments_2_dataset_instrument_nid	String	762790
attribute	NC_GLOBAL	instruments_2_description	String	A Particle Interceptor Trap is a prototype sediment trap designed in the mid 1990s to segregate 'swimmers' from sinking particulate material sampled from the water column. The prototype trap used 'segregation plates' to deflect and segregate 'swimmers' while a series of funnels collected sinking particles in a chamber (see Dennis A. Hansell and Jan A. Newton. September 1994. Design and Evaluation of a "Swimmer"-Segregating Particle Interceptor Trap, Limnology and Oceanography, Vol. 39, No. 6, pp. 1487-1495).
attribute	NC_GLOBAL	instruments_2_instrument_external_identifier	String	https://vocab.nerc.ac.uk/collection/L05/current/33/
attribute	NC_GLOBAL	instruments_2_instrument_name	String	Sediment Trap - Particle Interceptor
attribute	NC_GLOBAL	instruments_2_instrument_nid	String	550
attribute	NC_GLOBAL	instruments_2_supplied_name	String	free-floating NetTrap
attribute	NC_GLOBAL	instruments_3_acronym	String	LSC
attribute	NC_GLOBAL	instruments_3_dataset_instrument_nid	String	762793
attribute	NC_GLOBAL	instruments_3_description	String	Liquid scintillation counting is an analytical technique which is defined by the incorporation of the radiolabeled analyte into uniform distribution with a liquid chemical medium capable of converting the kinetic energy of nuclear emissions into light energy. Although the liquid scintillation counter is a sophisticated laboratory counting system used the quantify the activity of particulate emitting (ß and a) radioactive samples, it can also detect the auger electrons emitted from 51Cr and 125I samples.
attribute	NC_GLOBAL	instruments_3_instrument_external_identifier	String	https://vocab.nerc.ac.uk/collection/L05/current/LAB21/
attribute	NC_GLOBAL	instruments_3_instrument_name	String	Liquid Scintillation Counter
attribute	NC_GLOBAL	instruments_3_instrument_nid	String	624
attribute	NC_GLOBAL	instruments_3_supplied_name	String	liquid scintillation counter (Perkin Elmer)
attribute	NC_GLOBAL	instruments_4_acronym	String	Ion Chromatograph
attribute	NC_GLOBAL	instruments_4_dataset_instrument_nid	String	762794
attribute	NC_GLOBAL	instruments_4_description	String	Ion chromatography is a form of liquid chromatography that measures concentrations of ionic species by separating them based on their interaction with a resin. Ionic species separate differently depending on species type and size. Ion chromatographs are able to measure concentrations of major anions, such as fluoride, chloride, nitrate, nitrite, and sulfate, as well as major cations such as lithium, sodium, ammonium, potassium, calcium, and magnesium in the parts-per-billion (ppb) range. (from http://serc.carleton.edu/microbelife/research_methods/biogeochemical/ic.html)
attribute	NC_GLOBAL	instruments_4_instrument_name	String	Ion Chromatograph
attribute	NC_GLOBAL	instruments_4_instrument_nid	String	662
attribute	NC_GLOBAL	instruments_4_supplied_name	String	IC system (Dionex)
attribute	NC_GLOBAL	instruments_5_dataset_instrument_nid	String	762792
attribute	NC_GLOBAL	instruments_5_description	String	A device mounted on a ship that holds water samples under conditions of controlled temperature or controlled temperature and illumination.
attribute	NC_GLOBAL	instruments_5_instrument_name	String	Shipboard Incubator
attribute	NC_GLOBAL	instruments_5_instrument_nid	String	629001
attribute	NC_GLOBAL	keywords	String	bco, bco-dmo, biological, cast, chemical, chemistry, concentration, conductivity, ctd, CTD_Cast, data, dataset, depth, dmo, earth, Earth Science > Oceans > Ocean Chemistry > Phosphate, erddap, incorp, management, mass, mass_concentration_of_phosphate_in_sea_water, ocean, oceanography, oceans, office, p33, P33_PO4_incorp_PIII_pcent, P33_PO4_incorp_PIII_rate, P33_PO4_uptake, phosphate, piii, po4, preliminary, rate, sample, Sample_type, science, sea, seawater, sonde, station, temperature, type, uptake, water
attribute	NC_GLOBAL	keywords_vocabulary	String	GCMD Science Keywords
attribute	NC_GLOBAL	license	String	https://www.bco-dmo.org/dataset/762772/license
attribute	NC_GLOBAL	metadata_source	String	https://www.bco-dmo.org/api/dataset/762772
attribute	NC_GLOBAL	param_mapping	String	{'762772': {'Depth': 'master - depth'}}
attribute	NC_GLOBAL	parameter_source	String	https://www.bco-dmo.org/mapserver/dataset/762772/parameters
attribute	NC_GLOBAL	people_0_affiliation	String	Woods Hole Oceanographic Institution
attribute	NC_GLOBAL	people_0_affiliation_acronym	String	WHOI
attribute	NC_GLOBAL	people_0_person_name	String	Benjamin A.S. Van Mooy
attribute	NC_GLOBAL	people_0_person_nid	String	50975
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 Rhode Island
attribute	NC_GLOBAL	people_1_affiliation_acronym	String	URI-GSO
attribute	NC_GLOBAL	people_1_person_name	String	Tatiana Rynearson
attribute	NC_GLOBAL	people_1_person_nid	String	511706
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	Woods Hole Oceanographic Institution
attribute	NC_GLOBAL	people_2_affiliation_acronym	String	WHOI BCO-DMO
attribute	NC_GLOBAL	people_2_person_name	String	Nancy Copley
attribute	NC_GLOBAL	people_2_person_nid	String	50396
attribute	NC_GLOBAL	people_2_role	String	BCO-DMO Data Manager
attribute	NC_GLOBAL	people_2_role_type	String	related
attribute	NC_GLOBAL	project	String	North Atlantic Diatoms,Phosphorus Redox Cycling
attribute	NC_GLOBAL	projects_0_acronym	String	North Atlantic Diatoms
attribute	NC_GLOBAL	projects_0_description	String	NSF abstract: About half of photosynthesis on earth is generated by marine phytoplankton, single celled organisms that drift with tides and currents. Within the phytoplankton, the diatoms conduct nearly half of this photosynthesis, exerting profound control over global carbon cycling. Despite their importance, there are surprisingly fundamental gaps in understanding how diatoms function in their natural environment, in part because methods to assess in situ physiology are lacking. This project focuses on the application of a powerful new approach, called Quantitative Metabolic Fingerprinting (QMF), to address this knowledge gap and examine species-specific physiology in the field. The project will provide transformative insights into how ocean geochemistry controls the distribution of diatoms, the metabolic responses of individual diatom species, and how metabolic potential is partitioned between diatom species, thus providing new insights into the structure and function of marine systems. The overarching goal is to examine how diatom species respond to changes in biogeochemistry across marine provinces, from the coast to the open ocean, by following shifts in diatom physiology using QMF. This research is critical to understand future changes in oceanic phytoplankton in response to climate and environmental change. Furthermore, activities on this project will include supporting a graduate student and postdoctoral fellow and delivering the Artistic Oceanographer Program (AOP) to diverse middle school age children and teachers in the NYC metropolitan area and to middle-school girls in the Girl Scouts of RI, reaching an anticipated 60 children and 30 teachers annually. The programs will foster multidisciplinary hands-on learning and will directly impact STEM education at a critical point in the pipeline by targeting diverse middle-school aged groups in both NY and RI. In laboratory studies with cultured isolates, there are profound differences among diatom species' responses to nutrient limitation. Thus, it is likely that different species contribute differently to nutrient uptake, carbon flux and burial. However, marine ecosystem models often rely on physiological attributes drawn from just one species and apply those attributes globally (e.g. coastal species used to model open ocean dynamics) or choose a single average value to represent all species across the world's oceans. In part, this is due to a relatively poor understanding of diatom physiological ecology and a limited tool set for assessing in situ diatom physiological ecology. This research project will address this specific challenge by explicitly tracking metabolic pathways, measuring their regulation and determining their taxonomic distribution in a suite of environmentally significant diatoms using a state of the art, species-specific approach. A research expedition is set in the North Atlantic, a system that plays a major role in carbon cycling. Starting with a New England coastal shelf site, samples will be collected from the coast where diatoms thrive, to the open ocean and a site of a long term ocean time series station (the Bermuda Atlantic Time Series) where diatom growth is muted by nutrient limitation. This research takes advantage of new ocean observatories initiative (OOI) and time series information. Through the research expedition and downstream laboratory experiments, the molecular pathways of nutrient metabolism and related gene expression in a suite of environmentally significant diatoms will be identified. Data will be combined to predict major limiting factors and potentially important substrates for diatoms across marine provinces. Importantly, this integrated approach takes advantage of new advances in molecular and bioinformatics tools to examine in situ physiological ecology at the species-specific level, a key knowledge gap in the field.
attribute	NC_GLOBAL	projects_0_end_date	String	2019-08
attribute	NC_GLOBAL	projects_0_geolocation	String	North Atlantic
attribute	NC_GLOBAL	projects_0_name	String	Collaborative Research: Defining the biogeochemical drivers of diatom physiological ecology in the North Atlantic
attribute	NC_GLOBAL	projects_0_project_nid	String	704768
attribute	NC_GLOBAL	projects_0_start_date	String	2016-09
attribute	NC_GLOBAL	projects_1_acronym	String	Phosphorus Redox Cycling
attribute	NC_GLOBAL	projects_1_description	String	NSF Award Abstract: Redox Cycling of Phosphorus in the Western North Atlantic Ocean Benjamin Van Mooy ID: 1536346 Understanding controls on the growth of plankton in the upper ocean, which plays an essential role in the sequestration of carbon dioxide, is an important endeavor for chemical oceanography. Phosphorus is an essential element for marine plankton, and has been a research focus of chemical oceanography for nearly a century. Yet, phosphorus redox cycling rates are almost completely unknown throughout the ocean, and the specific molecular identities of the phosphonates, a form of phosphate, in seawater have defied elucidation. This project will explore and refine entirely new pathways for the biological cycling of phosphorus. This project will support teaching and learning by funding the PhD research of a graduate student, and through the continuation of conducting K-12 classroom laboratory modules and hosting 6-8th grade science fair participants in the investigator's lab. Phosphorus has never been viewed by oceanographers as an element that actively undergoes chemical redox reactions in the water column, and it was believed to occur only in the +5 valence state, in compounds such as phosphate. However, over the last 17 years, numerous lines of geochemical and genomic information have emerged to show that phosphorus in the +3 valence state (P(+3)), particularly dissolved phosphonate compounds, may play a very important role within open ocean planktonic communities. This is particularly true in oligotrophic gyres such as the Sargasso Sea, where growth of phytoplankton can be limited by the scarcity of phosphate. To better understand these new data, the investigators will design and execute a research program that spans at-sea chemical oceanographic experimentation, state-of-the-art chromatography and mass spectrometry, and novel organic synthesis of 33P-labeled P(+3) compounds. Specifically, they will answer questions about rates of production and consumption of low molecular weight P(+3) compounds, the impact of phosphate availability on the production and consumption of P(+3) compounds, and the groups of phytoplankton that utilize low molecular weight P(+3) compounds. Results of this project have the potential to contribute to the transformation of our understanding of the marine phosphorus cycle.
attribute	NC_GLOBAL	projects_1_end_date	String	2018-09
attribute	NC_GLOBAL	projects_1_geolocation	String	western north Atlantic
attribute	NC_GLOBAL	projects_1_name	String	Redox Cycling of Phosphorus in the Western North Atlantic Ocean
attribute	NC_GLOBAL	projects_1_project_nid	String	746565
attribute	NC_GLOBAL	projects_1_start_date	String	2015-10
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	standard_name_vocabulary	String	CF Standard Name Table v55
attribute	NC_GLOBAL	summary	String	This dataset includes redox data from RV/Atlantic Explorer AE1812 in the northwest Atlantic, May 2018.
attribute	NC_GLOBAL	title	String	[AE1812 Redox data] - Redox data from RV/Atlantic Explorer AE1812 in the northwest Atlantic, May 2018 (Collaborative Research: Defining the biogeochemical drivers of diatom physiological ecology in the North Atlantic)
attribute	NC_GLOBAL	version	String	1
attribute	NC_GLOBAL	xml_source	String	osprey2erddap.update_xml() v1.3
variable	Station		byte
attribute	Station	_FillValue	byte	127
attribute	Station	actual_range	byte	1, 14
attribute	Station	bcodmo_name	String	station
attribute	Station	description	String	Numeric identifier for the station where the data was collected.
attribute	Station	long_name	String	Station
attribute	Station	units	String	unitless
variable	CTD_Cast		byte
attribute	CTD_Cast	_FillValue	byte	127
attribute	CTD_Cast	actual_range	byte	2, 40
attribute	CTD_Cast	bcodmo_name	String	cast
attribute	CTD_Cast	description	String	Numeric identifier for the CTD cast where the data was collected.
attribute	CTD_Cast	long_name	String	CTD Cast
attribute	CTD_Cast	units	String	unitless
variable	Sample_type		String
attribute	Sample_type	bcodmo_name	String	sample_type
attribute	Sample_type	description	String	Sample type: Comm.=Whole community; CommD.=Whole communinty in dark incubation; Tricho.=Trichodesmium colonies; Sed.=Sinking particles
attribute	Sample_type	long_name	String	Sample Type
attribute	Sample_type	units	String	unitless
variable	depth		double
attribute	depth	_CoordinateAxisType	String	Height
attribute	depth	_CoordinateZisPositive	String	down
attribute	depth	_FillValue	double	NaN
attribute	depth	actual_range	double	4.0, 172.0
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 at which the samples were collected.
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	P33_PO4_incorp_PIII_rate		String
attribute	P33_PO4_incorp_PIII_rate	bcodmo_name	String	unknown
attribute	P33_PO4_incorp_PIII_rate	description	String	33P-phosphate incorporation into P(III) compounds (blank corrected).
attribute	P33_PO4_incorp_PIII_rate	long_name	String	P33 PO4 Incorp PIII Rate
attribute	P33_PO4_incorp_PIII_rate	units	String	counts per minutes per liter per hour (cpm/(L h))
variable	P33_PO4_uptake		String
attribute	P33_PO4_uptake	bcodmo_name	String	P33_PO4_uptake
attribute	P33_PO4_uptake	description	String	33P-phosphate uptake (blank corrected)
attribute	P33_PO4_uptake	long_name	String	P33 PO4 Uptake
attribute	P33_PO4_uptake	units	String	counts per minutes per liter per hour (cpm/(L h))
variable	P33_PO4_incorp_PIII_pcent		float
attribute	P33_PO4_incorp_PIII_pcent	_FillValue	float	NaN
attribute	P33_PO4_incorp_PIII_pcent	actual_range	float	0.23, 74.6
attribute	P33_PO4_incorp_PIII_pcent	bcodmo_name	String	unknown
attribute	P33_PO4_incorp_PIII_pcent	description	String	Percentage of 33P-phosphate incorporation into P(III) compounds
attribute	P33_PO4_incorp_PIII_pcent	long_name	String	Mass Concentration Of Phosphate In Sea Water
attribute	P33_PO4_incorp_PIII_pcent	units	String	percentage (%)

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.