ERDDAP > info > bcodmo_dataset_811580

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	[HMW and LMW DOC Recovery] - HMW and LMW DOC recovery parameters from waters collected from the North Pacific Subtropical Gyre and Central North Atlantic (The Microbial Nitrogen Pump: Coupling 14C and Compound-specific Amino Acids to Understand the Role of Microbial Transformations in the Refractory Ocean DON Pool)		I   M	background			BCO-DMO	bcodmo_dataset_811580

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	Sample Collection Samples were collected on two separate research cruises aboard the R/V Kilo Moana in August 2014 and May 2015. Sampling was conducted at the Hawaii Ocean Time Series Station ALOHA (A Long-Term Oligotrophic Habitat Assessment; 22\u00b0 45'N, 158\u00b0 00'W) and the Bermuda Atlantic Time Series Site (BATS; 31\u00b0 40'N, 64\u00b0 10'W) in the Central North Atlantic. Surface water was sampled via the vessel's underway sampling system. The intake pipe is situated on the forward starboard hull section of the vessel approximately 7.5 m below the waterline. The laboratory seawater tap was allowed to flush for 2 hours prior to each sampling. Seawater was pre-filtered through 53 \u00b5m Nitex mesh, and pumped through a 0.2 \u00b5m polyethersulfone (PES) cartridge filter (Shelco Filters, Micro Vantage, water grade, 9.75\" DOE, polycarbonate housing) prior to introduction to the ultrafiltration system. Large volume subsurface water samples were collected using successive casts of a rosette equipped with 24 x 12 L Niskin bottles. Tangential-Flow Ultrafiltration The main UF system was constructed using a modified design of the system described in Roland et al. (2009), and expanded on by Walker et al. (2011). Briefly, the system was comprised of four-spiral wound PES UF membranes, having a nominal molecular weight cut off of 2.5 kD (GE Osmonics GH2540F30, 40-inch long, 2.5-inch diameter). The membranes were mounted in stainless steel housings, plumbed in parallel to a 100 L fluorinated HDPE reservoir, with flow driven by a 1.5 HP stainless steel centrifugal pump (Goulds Pumps, Stainless steel centrifugal pump, NPE series 1 x 1-1/4 -6, close coupled to a 1-1/2 horsepower, 3500 RPM, 60 Hz, 3 phase, Open Drip Proof Motor; 5.75 Inch Impeller Diameter, Standard Viton Mechanical Seals). All other system plumbing components contacting seawater were composed of polytetrafluoroethylene (PTFE) or stainless steel. The system was run continuously at a membrane pressure of 40-50 psi, resulting in permeation flow rates of 1-2 L/min, depending primarily on the temperature of the feed seawater. Sample water was fed into the system using peristaltic pumps and platinum cured silicone tubing at a flow rate matched to the system permeation rates to ensure a constant system volume of approximately 100 L. Seawater samples of 3000-4000 L were concentrated to a final retentate volume of 15-20 L, drained from the system into acid washed PC carboys and refrigerated (less than 12 hours at 2C) until the next phase of processing. Samples requiring storage for longer than 12 hours were frozen and stored at -20\u00b0C. The UF system was then reconfigured to a smaller volume system, consisting of a single membrane having a smaller nominal molecular weight cutoff (GE Osmonics GE2540F30, 40-inch long, 2.5-inch diameter, 1 kD MWCO), and a 2.5 L PES reservoir for further volume reduction and subsequent salt removal (diafiltration). Using this smaller system, samples were reduced to 2-3 L under lower pressure (25 psi, permeation rate = 250 mL/min). Samples were then diafiltered using 40 L of 18.2 M\u03a9 Milli-Q (ultrapure) water, adding water to the sample retentate reservoir at the same rate of membrane permeation. Reduced and diafiltered samples were stored in acid washed PC bottles at -20\u00b0C for transport. In the laboratory, samples were further concentrated by rotary evaporation using pre-combusted glassware (450 \u00b0C, 5 h). A molecular sieve and a liquid nitrogen trap were placed between the vacuum pump and rotovap chamber to ensure no contamination of isolated material by back streaming of hydrocarbons or other contaminants. After reduction to 50-100 mL, samples were dried to powder via centrifugal evaporation in PTFE centrifuge tubes. Dry material was homogenized with an ethanol cleaned agate mortar and pestle, transferred to pre-combusted glass vials, and stored in a desiccation cabinet until subsequent analyses. Solid Phase Extraction Solid phase extraction was conducted using PPL sorbent (Agilent Bondesil PPL, 125 \u00b5m particle size, part # 5982-0026) following the general recommendations of Dittmar et al. (2008) and Green et al. (2014), including loading rates, seawater to sorbent ratios, and elution volumes and rates. Between 300 and 500 g of sorbent was used for each extraction, depending on sample volume and DOC concentration, with average loading of 4.2 \u00b1 1.5 L UF permeate per g sorbent representing 1.9 \u00b1 0.6 mg DOC per g sorbent or a DOC to sorbent mass ratio of 1:600 \u00b1 200. This is in line with both the recommendations of Dittmar et al. (2008) (maximum loading = 10 L seawater per g sorbent) and Li et al. (2016) (DOC to sorbent ratio = 1:800). Permeate from the UF system was fed through PTFE tubing to a pair of 200 L HDPE barrels. The permeate water was then acidified in 200 L batches to pH 2 by adding 400 mL of 6 M HCl (Fisher Chemical, ACS Plus grade). Batch samples were mixed continuously during collection, acidification, and loading using a peristaltic pump and platinum cured Si and PTFE tubing positioned at the surface and bottom of each barrel. Acidified batches of seawater permeate were then pumped through the SPE sorbent. SPE flow rates were matched to UF permeation rates (1-2 L/min), such that a pair of 200 L barrels allowed one barrel to be filled while the contents of the other was passed through the sorbent. Three custom SPE column configurations were used to contain the sorbent material. The column configuration was modified several times for ease of use on subsequent cruises. First, an open, gravity fed, large (49 mm ID x 1000 mm length, 1875 mL volume) glass chromatography column with 40 \u00b5m fritted disk and PTFE stopcock (Kimble-Chase, Kontes) was used. Next, we tested a custom built high-pressure SS housing (10 cm ID x 3.5 cm bed height), and finally a parallel combination of 2 medium-pressure glass chromatography columns (Kimble-Chase, Kontes, Chromaflex LC, 4.8 mm ID x 30 cm, 543 mL volume). While all designs proved to be functionally equivalent, the latter parallel combination of 2 medium-pressure glass columns ultimately provided the best configuration in order to maximize flow rates while simultaneously optimizing the ratio of sorbent bed height to loading speed. Further, the commercial availability and ease of use associated with this configuration made it our preferred design. Following sample loading, the SPE sorbent was desalted with 6 L of pH 2 ultrapure water at a low flow rate (250-300 mL/min). After desalting, the SPE sorbent was transferred to a glass chromatography column (75 mm ID x 300 mm length, 40 \u00b5m fritted disk, PTFE stopcock) with ultrapure water rinses to ensure quantitative transfer. Isolated organic material was then eluted from the sorbent with five to six 500 mL additions of methanol. The eluted methanol solution was stored in pre-combusted amber glass bottles at -20\u00b0C for transport. Similar to UF samples, the methanol-eluted solutions were first reduced by rotary evaporation to 50-100 mL. Samples were then dried to powder via centrifugal evaporation in PTFE centrifuge tubes. Dry material was homogenized with an ethanol cleaned agate mortar and pestle, transferred to pre-combusted glass vials, and stored in a desiccation cabinet until elemental and isotopic analyses. Total DOM Subsamples for dissolved organic carbon (DOC) and total dissolved nitrogen (TDN) concentration measurements were collected into pre-combusted 40 mL borosilicate glass vials following 0.2 \u00b5m-filtration. Samples were stored at -20\u00b0C until analysis. Subsamples for [DOC] and [TDN] were also taken from the UF system permeate to evaluate mass balance. An \"integrated\" permeate sample (e.g., Benner et al., 1997) was prepared by sampling and combining equal volumes (100 mL) collected at constant time intervals throughout the ultrafiltration. DOC and TDN concentration measurements were made using the high temperature oxidation method with a Shimadzu TOC-V in the Carlson lab at UCSB ([https://labs.eemb.ucsb.edu/carlson/craig/services](\\"https://labs.eemb.ucsb.edu/carlson/craig/services\\")). DOC concentration measurement errors represent the standard deviation of n=3 replicate measurements. Total DON concentrations were determined by subtracting the sum of dissolved inorganic nitrogen (DIN) species (nitrate, nitrite, ammonia) from TDN. DIN concentrations were determined using a Lachat QuickChem 8000 Flow Injection Analyzer. Ammonia concentrations were below the limit of quantification (0.36 \u00b5M) for all samples using QuickChem\u00ae Method 31-107-06-1-B. Nitrate and nitrite concentrations were measured as the sum of the two analytes using QuickChem\u00ae Method 31-107-04-1-C. The limit of detection for [NO3+NO2] using this method was 0.5 \u00b5M and the average precision of replicate standard measurements was \u00b1 1.4 \u00b5M. In the case of [DON], measurement errors represent the propagated analytical uncertainty from the subtraction of [DIN] from [TDN]. DOC concentrations measurements were also determined via UV oxidation, cryogenic purification and manometric determination at UC Irvine.
attribute	NC_GLOBAL	awards_0_award_nid	String	701743
attribute	NC_GLOBAL	awards_0_award_number	String	OCE-1358041
attribute	NC_GLOBAL	awards_0_data_url	String	http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1358041
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	Henrietta N Edmonds
attribute	NC_GLOBAL	awards_0_program_manager_nid	String	51517
attribute	NC_GLOBAL	cdm_data_type	String	Other
attribute	NC_GLOBAL	comment	String	HMW and LMW DOC Recovery Parameters PI: Matthew McCarthy (UC Santa Cruz) Co-PI: Thomas Guilderson (UC Santa Cruz) Version date: 14 May 2020
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	2020-05-14T19:16:48Z
attribute	NC_GLOBAL	date_modified	String	2020-05-20T16:05:03Z
attribute	NC_GLOBAL	defaultDataQuery	String	&time<now
attribute	NC_GLOBAL	doi	String	10.26008/1912/bco-dmo.811580.1
attribute	NC_GLOBAL	geospatial_vertical_max	double	2500.0
attribute	NC_GLOBAL	geospatial_vertical_min	double	2.0
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/811580
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	811591
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	rosette equipped with 24 x 12 L Niskin bottles
attribute	NC_GLOBAL	instruments_1_acronym	String	Pump-Ship Intake
attribute	NC_GLOBAL	instruments_1_dataset_instrument_nid	String	811590
attribute	NC_GLOBAL	instruments_1_description	String	The 'Pump-underway ship intake' system indicates that samples are from the ship's clean water intake pump. This is essentially a surface water sample from a source of uncontaminated near-surface (commonly 3 to 7 m) seawater that can be pumped continuously to shipboard laboratories on research vessels. There is typically a temperature sensor near the intake (known as the hull temperature) to provide measurements that are as close as possible to the ambient water temperature. The flow from the supply is typically directed through continuously logged sensors such as a thermosalinograph and a fluorometer. Water samples are often collected from the underway supply that may also be referred to as the non-toxic supply. Ideally the data contributor has specified the depth in the ship's hull at which the pump is mounted.
attribute	NC_GLOBAL	instruments_1_instrument_external_identifier	String	https://vocab.nerc.ac.uk/collection/L05/current/31/
attribute	NC_GLOBAL	instruments_1_instrument_name	String	Pump - Surface Underway Ship Intake
attribute	NC_GLOBAL	instruments_1_instrument_nid	String	534
attribute	NC_GLOBAL	instruments_1_supplied_name	String	underway sampling system
attribute	NC_GLOBAL	instruments_2_acronym	String	Shimadzu TOC-V
attribute	NC_GLOBAL	instruments_2_dataset_instrument_nid	String	811596
attribute	NC_GLOBAL	instruments_2_description	String	A Shimadzu TOC-V Analyzer measures DOC by high temperature combustion method.
attribute	NC_GLOBAL	instruments_2_instrument_external_identifier	String	http://onto.nerc.ac.uk/CAST/124
attribute	NC_GLOBAL	instruments_2_instrument_name	String	Shimadzu TOC-V Analyzer
attribute	NC_GLOBAL	instruments_2_instrument_nid	String	603
attribute	NC_GLOBAL	instruments_2_supplied_name	String	Shimadzu TOC-V
attribute	NC_GLOBAL	instruments_3_acronym	String	FIA
attribute	NC_GLOBAL	instruments_3_dataset_instrument_nid	String	811595
attribute	NC_GLOBAL	instruments_3_description	String	An instrument that performs flow injection analysis. Flow injection analysis (FIA) is an approach to chemical analysis that is accomplished by injecting a plug of sample into a flowing carrier stream. FIA is an automated method in which a sample is injected into a continuous flow of a carrier solution that mixes with other continuously flowing solutions before reaching a detector. Precision is dramatically increased when FIA is used instead of manual injections and as a result very specific FIA systems have been developed for a wide array of analytical techniques.
attribute	NC_GLOBAL	instruments_3_instrument_external_identifier	String	https://vocab.nerc.ac.uk/collection/L05/current/LAB36/
attribute	NC_GLOBAL	instruments_3_instrument_name	String	Flow Injection Analyzer
attribute	NC_GLOBAL	instruments_3_instrument_nid	String	657
attribute	NC_GLOBAL	instruments_3_supplied_name	String	Lachat QuickChem 8000 Flow Injection Analyzer
attribute	NC_GLOBAL	keywords	String	bco, bco-dmo, biological, chemical, climate, data, dataset, depth, dmo, erddap, forecast, liter, management, mgC, mgN, oceanography, office, pcnt, pcnt_C, pcnt_N, per, preliminary, sample, sample_type, season, total, total_mg, type, umol, umol_C_per_liter, umol_N_per_liter, volume, year
attribute	NC_GLOBAL	license	String	https://www.bco-dmo.org/dataset/811580/license
attribute	NC_GLOBAL	metadata_source	String	https://www.bco-dmo.org/api/dataset/811580
attribute	NC_GLOBAL	param_mapping	String	{'811580': {'depth': 'flag - depth'}}
attribute	NC_GLOBAL	parameter_source	String	https://www.bco-dmo.org/mapserver/dataset/811580/parameters
attribute	NC_GLOBAL	people_0_affiliation	String	University of California-Santa Cruz
attribute	NC_GLOBAL	people_0_affiliation_acronym	String	UC Santa Cruz
attribute	NC_GLOBAL	people_0_person_name	String	Matthew D. McCarthy
attribute	NC_GLOBAL	people_0_person_nid	String	557245
attribute	NC_GLOBAL	people_0_role	String	Principal Investigator
attribute	NC_GLOBAL	people_0_role_type	String	originator
attribute	NC_GLOBAL	people_1_affiliation	String	University of California-Santa Cruz
attribute	NC_GLOBAL	people_1_affiliation_acronym	String	UC Santa Cruz
attribute	NC_GLOBAL	people_1_person_name	String	Thomas Guilderson
attribute	NC_GLOBAL	people_1_person_nid	String	51494
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	Shannon Rauch
attribute	NC_GLOBAL	people_2_person_nid	String	51498
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	DON Microbial Nitrogen Pump
attribute	NC_GLOBAL	projects_0_acronym	String	DON Microbial Nitrogen Pump
attribute	NC_GLOBAL	projects_0_description	String	Dissolved organic nitrogen is one of the most important - but perhaps least understood - components of the modern ocean nitrogen cycle. While dissolved organic nitrogen represents a main active reservoir of fixed and seemingly biologically-available nitrogen, at the same time most of ocean's dissolved organic nitrogen pool is also apparently unavailable for use by organisms. Recently, the idea of the "Microbial Carbon Pump" has emerged, providing a renewed focus on microbes as primary agents for the formation of biologically-available dissolved material. However, the role that microbes play in transformation of biologically-available dissolved organic nitrogen is still lacking. In order to fill gaps in this knowledge, researchers from the University of California Santa Cruz will apply a series of new analytical approaches to test the role of microbial source and transformation in formation of the ocean's biologically-available dissolved organic nitrogen pool. Results from this study will address one of the major unknowns of both chemical oceanography and the ocean nitrogen cycle. Broader Impacts: This proposal will provide oceanographers new tools to test ideas of microbial organic matter sequestration in a world where the oceans are rapidly changing. High school, undergraduate, graduate and post-doctoral education will be furthered through active participation in lab, field, and data synthesis activities.
attribute	NC_GLOBAL	projects_0_end_date	String	2017-03
attribute	NC_GLOBAL	projects_0_geolocation	String	North Pacific Subtropical Gyre (HOT station), North Atlantic Subtropical Gyre (BATS time series station), California Margin
attribute	NC_GLOBAL	projects_0_name	String	The Microbial Nitrogen Pump: Coupling 14C and Compound-specific Amino Acids to Understand the Role of Microbial Transformations in the Refractory Ocean DON Pool
attribute	NC_GLOBAL	projects_0_project_nid	String	701744
attribute	NC_GLOBAL	projects_0_start_date	String	2014-04
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	standard_name_vocabulary	String	CF Standard Name Table v55
attribute	NC_GLOBAL	summary	String	HMW and LMW DOC recovery parameters from waters collected from the North Pacific Subtropical Gyre and Central North Atlantic. These data were published in Broek et al. (2019) and Broek et al. (2017).
attribute	NC_GLOBAL	title	String	[HMW and LMW DOC Recovery] - HMW and LMW DOC recovery parameters from waters collected from the North Pacific Subtropical Gyre and Central North Atlantic (The Microbial Nitrogen Pump: Coupling 14C and Compound-specific Amino Acids to Understand the Role of Microbial Transformations in the Refractory Ocean DON Pool)
attribute	NC_GLOBAL	version	String	1
attribute	NC_GLOBAL	xml_source	String	osprey2erddap.update_xml() v1.5
variable	location		String
attribute	location	bcodmo_name	String	site
attribute	location	description	String	Sample collection location. HOT = Hawaii Ocean Time Series station ALOHA (22° 45'N, 158° 00'W) in North Pacific Subtropical Gyre (NPSG); BATS = Hawaii Ocean Time Series station ALOHA (22° 45'N, 158° 00'W) in North Pacific Subtropical Gyre (NPSG)
attribute	location	long_name	String	Location
attribute	location	units	String	unitless
variable	year		short
attribute	year	_FillValue	short	32767
attribute	year	actual_range	short	2014, 2016
attribute	year	bcodmo_name	String	year
attribute	year	description	String	Year of sample collection; format: YYYY
attribute	year	long_name	String	Year
attribute	year	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P01/current/YEARXXXX/
attribute	year	units	String	unitless
variable	season		String
attribute	season	bcodmo_name	String	season
attribute	season	description	String	Season of sample collection
attribute	season	long_name	String	Season
attribute	season	units	String	unitless
variable	sample_type		String
attribute	sample_type	bcodmo_name	String	sample_type
attribute	sample_type	description	String	DOM Fraction
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	2.0, 2500.0
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	volume		float
attribute	volume	_FillValue	float	NaN
attribute	volume	actual_range	float	20.0, 4300.0
attribute	volume	bcodmo_name	String	sample_volume
attribute	volume	description	String	Water volume processed
attribute	volume	long_name	String	Volume
attribute	volume	units	String	liters (L)
variable	CF		float
attribute	CF	_FillValue	float	NaN
attribute	CF	actual_range	float	0.4, 1433.0
attribute	CF	bcodmo_name	String	weight
attribute	CF	description	String	UF Concentration Factor
attribute	CF	long_name	String	CF
attribute	CF	units	String	unitless
variable	total_mg		short
attribute	total_mg	_FillValue	short	32767
attribute	total_mg	actual_range	short	10, 2240
attribute	total_mg	bcodmo_name	String	sample
attribute	total_mg	description	String	Total recovered
attribute	total_mg	long_name	String	Total Mg
attribute	total_mg	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P02/current/ACYC/
attribute	total_mg	units	String	milligrams (mg)
variable	mgC		short
attribute	mgC	_FillValue	short	32767
attribute	mgC	actual_range	short	2, 548
attribute	mgC	bcodmo_name	String	C
attribute	mgC	description	String	Milligrams carbon
attribute	mgC	long_name	String	MG C
attribute	mgC	units	String	milligrams (mg)
variable	umol_C_per_liter		float
attribute	umol_C_per_liter	_FillValue	float	NaN
attribute	umol_C_per_liter	actual_range	float	2.5, 36.3
attribute	umol_C_per_liter	bcodmo_name	String	C
attribute	umol_C_per_liter	description	String	Carbon concentration
attribute	umol_C_per_liter	long_name	String	Umol C Per Liter
attribute	umol_C_per_liter	units	String	micromoles C per liter
variable	pcnt_C		byte
attribute	pcnt_C	_FillValue	byte	127
attribute	pcnt_C	actual_range	byte	6, 48
attribute	pcnt_C	bcodmo_name	String	C
attribute	pcnt_C	description	String	Percent carbon
attribute	pcnt_C	long_name	String	PCNT C
attribute	pcnt_C	units	String	unitless (percent)
variable	mgN		float
attribute	mgN	_FillValue	float	NaN
attribute	mgN	actual_range	float	0.1, 50.0
attribute	mgN	bcodmo_name	String	N
attribute	mgN	description	String	Milligrams nitrogen
attribute	mgN	long_name	String	MG N
attribute	mgN	units	String	milligrams (mg)
variable	umol_N_per_liter		float
attribute	umol_N_per_liter	_FillValue	float	NaN
attribute	umol_N_per_liter	actual_range	float	0.2, 1.7
attribute	umol_N_per_liter	bcodmo_name	String	N
attribute	umol_N_per_liter	description	String	Nitrogen concentration
attribute	umol_N_per_liter	long_name	String	Umol N Per Liter
attribute	umol_N_per_liter	units	String	micromoles N per liter
variable	pcnt_N		byte
attribute	pcnt_N	_FillValue	byte	127
attribute	pcnt_N	actual_range	byte	6, 42
attribute	pcnt_N	bcodmo_name	String	N
attribute	pcnt_N	description	String	Percent nitrogen
attribute	pcnt_N	long_name	String	PCNT N
attribute	pcnt_N	units	String	unitless (percent)

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.