ERDDAP > info > bcodmo_dataset_723868

Grid DAP Data	Sub- set	Table DAP Data	Make A Graph	W M S	Source Data Files	Acces- sible	Title	Sum- mary	ISO, Metadata	Back- ground Info	RSS	E mail	Institution	Dataset ID
		data	graph		files	public	Concentrations of colored dissolved organic matter, dissolved organic carbon, and total phosphorous from experiments conducted at the University of Hawaii, Manoa in 2015 (Coral DOM2)		I   M	background			BCO-DMO	bcodmo_dataset_723868

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	The experiments were conducted at the Research Field Station Marine Lab (FSML) Kaneohe Bay, Hawaii, (HIMB; 21.4326 \u02da, -157.7866\u02da). The following sections contain methodology excerpts from Quinlain et al. (2018) relevant to this dataset. Collection of major reef constituents: Three visibly healthy colonies each of Porites compressa and Montipora capitata, two locally abundant hermatypic corals, were collected between 4 and 7 meters depth from fringing reef immediately adjacent to the Hawai'i Institute of Marine Biology in K\u0101ne'ohe Bay, Hawai'i (HIMB; 21.435 \u02da, -157.787\u02da) between 12 and 16 October 2015. Each colony was fragmented into 36 nubbins and one nubbin from each colony was mounted onto each of 36 polystyrene frames (roughly 10 cm2) using epoxy putty. Each frame had 6 nubbins (3 Porites, 3 Montipora); one nubbin from each colony per frame; 24.8 \u00b1 5.23 g dry weight P. compressa, 21.9 \u00b1 5.05 g dry weight of M. capitata. Corals were allowed to acclimate 10 days before the start of the experiment. Rubble of dead skeleton from P. compressa skeleton was haphazardly collected in conjunction with the coral collections, separated into 36 equal portions (78.9 \u00b1 3.42 g dry weight) and contained within polyethylene mesh netting containers. The macroalga Gracilaria sp. (Rhodophyta) was collected from the north point of HIMB (21.4360\u02da, -157.7881\u02da); any visible invertebrates and epiphytes within the macroalgae were removed, fronds were separated into 36 equal portions (11.0 \u00b1 0.55 g wet weight) and contained within polyethylene mesh netting mesh containers. Sand was collected from the top 3 cm of aerobic reef sand on the eastern edge of HIMB (21.4350\u02da, -157.7871\u02da) using a 7.5 cm diameter core and was left undisturbed in each of the 36 petri dishes in which it was collected. Aquaria and nutrient enrichment systems: Square polycarbonate aquaria (n = 36) were affixed with an upper spigot drain to hold water level constant at 6 L, acid washed and soaked for 72 hours in flowing seawater to leach plasticizers prior to the experiment, scrubbed clean, rinsed with freshwater and dried. Each aquarium was filled with 4 benthic constituent units (either four coral frames, four algal or rubble mesh portion containers or four sand dishes) and placed into one of three 1300L flow-through seawater tanks (12 aquaria per tank) as water baths to maintain stable temperature. Each tank thus contained one replicate aquarium of each benthic group maintained at each nutrient level (Figure 1, Quinlain et al. 2018). Source water from K\u0101ne'ohe Bay was filtered through a sand filter followed by a 20 \u00b5m polyethylene cartridge pre-filter to exclude large plankton. A concentrated nutrient mix (2 mmol L-1 sodium nitrate and 0.67 mmol L-1 monosodium phosphate, 20L) was prepared every other day by amending seawater with a frozen concentrated stock in a pre-cleaned polycarbonate carboy stored at ambient temperatures in the dark. Both the source water and nutrient mixture were pumped by continuous peristalsis through platinum cured silicone tubes into nutrient mixing aquaria with 90 minute residence times maintained at three concentrations (ambient, low and high; mean and time series concentrations in Figure 1 and Figure S2, respectively, Quinlain et al., 2018) then distributed by peristalsis to the experimental aquaria maintained at a 5-hour residence time. Each week all aquaria were replaced with cleaned and dried aquaria and randomly rearranged spatially within incubation tanks, but maintained in three replicate experimental blocks cycled among 1300 L tanks to account for light and temperature variation; means of 288 \u00b1 354 \u00b5mol photon m-2 s-1 and 25.9 \u00b11.9 \u02daC did not differ significantly among water baths and are detailed in a companion manuscript (Silbiger et al., 2018). Dissolved Organic Matter (DOM) sample collection and analysis: DOM samples were collected biweekly over a period of four weeks from each aquaria using acid washed and seawater leached treatment-specific, rubber free polyethylene syringes and filtered through a 0.2 \u00b5m polyethersulfone filter (25 mm; Sterlitech) in a polypropylene filter holder (Swin-lok; Whatman). Filtrate was collected in acid washed, combusted, triple sample- rinsed amber borosilicate vials with teflon septa lids and stored dark at 4\u02daC until analysis within 1 month of collection. Dissolved organic carbon (DOC) was measured as non-purgeable organic carbon via acidification, sparging and high temperature platinum catalytic oxidation on a Shimadzu TOC-V (Carlson et al. 2010). Nutrient samples were collected identically, but frozen (-20 \u00b0C) in polyethylene centrifuge tubes, thawed to room temperature, mixed thoroughly and analyzed on a Seal Analytical Segmented Flow Injection AutoAnalyzer AA3HR for simultaneous determination of soluble reactive phosphate (PO43-), ammonium (NH4+), nitrate + nitrite (N + N; NO3- + NO2-), silicate (SiO4) and total dissolved nitrogen and phosphorus (TDN, TDP; via in- line persulfate/ultraviolet oxidation). Dissolved organic nitrogen (DON) was calculated as the difference between TDN and the sum of ammonium, nitrate and nitrite. Samples for fluorescence spectroscopy were measured using an Horiba Aqualog scanning fluorometer following the methods of Nelson et al. (2015) and processed using a Matlab (v2007b) script (see processing section below). Six PARAFAC components were validated using split half validation and outlier analysis (Figure S1, Quinlain et al., 2018). All PARAFAC components had similar excitation-emission maxima and strong covariation among samples with previously identified fluorophores; thus for subsequent analyses, we examined established fluorescence maxima from the literature (Table S1, Quinlain et al., 2018; Coble ,1996; Stedmon et al., 2003; Lakowicz, 2010).
attribute	NC_GLOBAL	awards_0_award_nid	String	675030
attribute	NC_GLOBAL	awards_0_award_number	String	OCE-1538393
attribute	NC_GLOBAL	awards_0_data_url	String	http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1538393
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	Michael E. Sieracki
attribute	NC_GLOBAL	awards_0_program_manager_nid	String	50446
attribute	NC_GLOBAL	cdm_data_type	String	Other
attribute	NC_GLOBAL	comment	String	CRANE: fDOM, DOC, and TP PI: Craig Nelson data version 1: 2018-01-17
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	2018-01-17T16:48:28Z
attribute	NC_GLOBAL	date_modified	String	2019-06-27T14:48:52Z
attribute	NC_GLOBAL	defaultDataQuery	String	&time<now
attribute	NC_GLOBAL	doi	String	10.1575/1912/bco-dmo.723868.1
attribute	NC_GLOBAL	infoUrl	String	https://www.bco-dmo.org/dataset/723868
attribute	NC_GLOBAL	institution	String	BCO-DMO
attribute	NC_GLOBAL	instruments_0_acronym	String	Fluorometer
attribute	NC_GLOBAL	instruments_0_dataset_instrument_nid	String	726350
attribute	NC_GLOBAL	instruments_0_description	String	A fluorometer or fluorimeter is a device used to measure parameters of fluorescence: its intensity and wavelength distribution of emission spectrum after excitation by a certain spectrum of light. The instrument is designed to measure the amount of stimulated electromagnetic radiation produced by pulses of electromagnetic radiation emitted into a water sample or in situ.
attribute	NC_GLOBAL	instruments_0_instrument_external_identifier	String	https://vocab.nerc.ac.uk/collection/L05/current/113/
attribute	NC_GLOBAL	instruments_0_instrument_name	String	Fluorometer
attribute	NC_GLOBAL	instruments_0_instrument_nid	String	484
attribute	NC_GLOBAL	instruments_0_supplied_name	String	Horiba Aqualog scanning fluorometer
attribute	NC_GLOBAL	instruments_1_acronym	String	Shimadzu TOC-V
attribute	NC_GLOBAL	instruments_1_dataset_instrument_nid	String	726351
attribute	NC_GLOBAL	instruments_1_description	String	A Shimadzu TOC-V Analyzer measures DOC by high temperature combustion method.
attribute	NC_GLOBAL	instruments_1_instrument_external_identifier	String	http://onto.nerc.ac.uk/CAST/124
attribute	NC_GLOBAL	instruments_1_instrument_name	String	Shimadzu TOC-V Analyzer
attribute	NC_GLOBAL	instruments_1_instrument_nid	String	603
attribute	NC_GLOBAL	instruments_2_acronym	String	FIA
attribute	NC_GLOBAL	instruments_2_dataset_instrument_nid	String	726352
attribute	NC_GLOBAL	instruments_2_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_2_instrument_external_identifier	String	https://vocab.nerc.ac.uk/collection/L05/current/LAB36/
attribute	NC_GLOBAL	instruments_2_instrument_name	String	Flow Injection Analyzer
attribute	NC_GLOBAL	instruments_2_instrument_nid	String	657
attribute	NC_GLOBAL	instruments_2_supplied_name	String	Seal Analytical Segmented Flow Injection AutoAnalyzer AA3HR
attribute	NC_GLOBAL	keywords	String	addition, average, bath, bco, bco-dmo, benthic, biological, chemical, commerce, constituent, data, dataset, department, dmo, doc, dom, erddap, humic, Humic_like_fDOM, like, major, Major_Benthic_Constituent, management, marine, Marine_Humic_like, nutrient, Nutrient_Addition, oceanography, office, phenylalanine, Phenylalanine_like, preliminary, proteinaceous, Proteinaceous_fDOM, TP_avg, tryptophan, Tryptophan_like, tyrosine, Tyrosine_like, ultra, Ultra_Violet_Humic_like, violet, visible, Visible_Humic_like, water, Water_Bath, week
attribute	NC_GLOBAL	license	String	https://www.bco-dmo.org/dataset/723868/license
attribute	NC_GLOBAL	metadata_source	String	https://www.bco-dmo.org/api/dataset/723868
attribute	NC_GLOBAL	param_mapping	String	{'723868': {}}
attribute	NC_GLOBAL	parameter_source	String	https://www.bco-dmo.org/mapserver/dataset/723868/parameters
attribute	NC_GLOBAL	people_0_affiliation	String	University of Hawaii at Manoa
attribute	NC_GLOBAL	people_0_affiliation_acronym	String	HIMB
attribute	NC_GLOBAL	people_0_person_name	String	Craig E. Nelson
attribute	NC_GLOBAL	people_0_person_nid	String	51538
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 Hawaii at Manoa
attribute	NC_GLOBAL	people_1_affiliation_acronym	String	HIMB
attribute	NC_GLOBAL	people_1_person_name	String	Craig E. Nelson
attribute	NC_GLOBAL	people_1_person_nid	String	51538
attribute	NC_GLOBAL	people_1_role	String	Contact
attribute	NC_GLOBAL	people_1_role_type	String	related
attribute	NC_GLOBAL	people_2_affiliation	String	University of Hawaii at Manoa
attribute	NC_GLOBAL	people_2_affiliation_acronym	String	HIMB
attribute	NC_GLOBAL	people_2_person_name	String	Zachary A. Quinlan
attribute	NC_GLOBAL	people_2_person_nid	String	726344
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 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	Coral DOM2
attribute	NC_GLOBAL	projects_0_acronym	String	Coral DOM2
attribute	NC_GLOBAL	projects_0_description	String	NSF award abstract: Coral reef degradation, whether driven by overfishing, nutrient pollution, declining water quality, or other anthropogenic factors, is associated with a phase shift towards a reefs dominated by fleshy algae. In many cases managing and ameliorating these stressors does not lead to a return to coral dominance, and reefs languish in an algal-dominated state for years. Nearly a decade of research has demonstrated that trajectories toward increasing algal dominance are restructuring microbial community composition and metabolism; the investigators hypothesize that microbial processes facilitate the maintenance of algal dominance by metabolizing organic compounds released by algae thereby stressing corals through hypoxia and disease. The resilience of reefs to these phase shifts is a critical question in coral reef ecology, and managing reefs undergoing these community shifts requires developing an understanding of the role of microbial interactions in facilitating algal overgrowth and altering reef ecosystem function. The research proposed here will investigate the organics produced by algae, the microbes that metabolize the organics, and the impacts of these processes on coral health and growth. This research has implications for managing reef resilience to algal phase shifts by testing the differential resistance of coral-associated microbial communities to algae and defining thresholds of algal species cover which alter ecosystem biogeochemistry. This project provides mentoring across multiple career levels, linking underrepresented undergraduates, two graduate students, a postdoctoral researcher, and a beginning and established investigators. This project will integrate dissolved organic matter (DOM) geochemistry, microbial genomics and ecosystem process measurements at ecologically-relevant spatial and temporal scales to test hypothetical mechanisms by which microbially-mediated feedbacks may facilitate the spread of fleshy algae on Pacific reef ecosystems. A key product of this research will be understanding how the composition of corals and algae on reefs interact synergistically with complex microbial communities to influence reef ecosystem resilience to algal phase shifts. Emerging molecular and biogeochemical methods will be use to investigate mechanisms of microbial-DOM interactions at multiple spatial and temporal scales. This project will leverage the background environmental data, laboratory facilities and field logistical resources of the Mo'orea Coral Reef Long Term Ecological Research Project in French Polynesia and contribute to the mission of that program of investigating coral reef resilience in the face of global change. The investigators will quantify bulk diel patterns of DOM production and characterize the composition of chromophoric components and both free and acid-hydrolyzable neutral monosaccharides and amino acids from varying benthic algae sources. The team will also characterize planktonic and coral-associated microbial community changes in taxonomic composition and gene expression caused by algal DOM amendments in on-site controlled environmental chambers using phylogenetics and metatranscriptomics, including tracking algal exudate utilization by specific microbial lineages. Field-deployed 100 liter tent mesocosms will be used to examine in situ diel patterns of coupled DOM production and consumption, microbial community genomics and ecosystem metabolism over representative benthic communities comprising combinations of algal and coral species. Together these experimental results will guide interpretation of field surveys of centimeter-scale spatial dynamics of planktonic and coral-associated microbial genomics and metabolism at zones of coral-algal interaction, including boundary layer dynamics of oxygen, bacteria and DOM using planar optodes, high-throughput flow cytometry and fluorescence spectroscopy.
attribute	NC_GLOBAL	projects_0_end_date	String	2018-11
attribute	NC_GLOBAL	projects_0_geolocation	String	Pacific Coral Reefs
attribute	NC_GLOBAL	projects_0_name	String	Collaborative Research: Dissolved organic matter feedbacks in coral reef resilience: The genomic & geochemical basis for microbial modulation of algal phase shifts
attribute	NC_GLOBAL	projects_0_project_nid	String	675025
attribute	NC_GLOBAL	projects_0_start_date	String	2015-12
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	Concentrations of colored dissolved organic matter, dissolved organic carbon, and total phosphorous from experiments conducted at the University of Hawaii, Manoa in 2015.
attribute	NC_GLOBAL	title	String	Concentrations of colored dissolved organic matter, dissolved organic carbon, and total phosphorous from experiments conducted at the University of Hawaii, Manoa in 2015 (Coral DOM2)
attribute	NC_GLOBAL	version	String	1
attribute	NC_GLOBAL	xml_source	String	osprey2erddap.update_xml() v1.3
variable	Major_Benthic_Constituent		String
attribute	Major_Benthic_Constituent	bcodmo_name	String	site_descrip
attribute	Major_Benthic_Constituent	description	String	Type of organism|substrate in aquaria (coral|macroalgae|sand|rubble)
attribute	Major_Benthic_Constituent	long_name	String	Major Benthic Constituent
attribute	Major_Benthic_Constituent	units	String	unitless
variable	Nutrient_Addition		String
attribute	Nutrient_Addition	bcodmo_name	String	treatment
attribute	Nutrient_Addition	description	String	Nominal Level of nutrient addition (ambient|low|high)
attribute	Nutrient_Addition	long_name	String	Nutrient Addition
attribute	Nutrient_Addition	units	String	unitless
variable	Water_Bath		byte
attribute	Water_Bath	_FillValue	byte	127
attribute	Water_Bath	actual_range	byte	1, 3
attribute	Water_Bath	bcodmo_name	String	treatment
attribute	Water_Bath	description	String	Experimental Replicate water bath tank (1|2|3)
attribute	Water_Bath	long_name	String	Water Bath
attribute	Water_Bath	units	String	unitless
variable	Week		byte
attribute	Week	_FillValue	byte	127
attribute	Week	actual_range	byte	0, 4
attribute	Week	bcodmo_name	String	time_elapsed
attribute	Week	description	String	Week of continuous nutrient addition (0|2|4)
attribute	Week	long_name	String	Week
attribute	Week	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P01/current/ELTMZZZZ/
attribute	Week	units	String	unitless
variable	Ultra_Violet_Humic_like		double
attribute	Ultra_Violet_Humic_like	_FillValue	double	NaN
attribute	Ultra_Violet_Humic_like	actual_range	double	0.006100374, 0.105203946
attribute	Ultra_Violet_Humic_like	bcodmo_name	String	unknown
attribute	Ultra_Violet_Humic_like	description	String	Coble Peak A (Ultra Violet Humic-like)
attribute	Ultra_Violet_Humic_like	long_name	String	Ultra Violet Humic Like
attribute	Ultra_Violet_Humic_like	units	String	Raman units of water (RU)
variable	Marine_Humic_like		double
attribute	Marine_Humic_like	_FillValue	double	NaN
attribute	Marine_Humic_like	actual_range	double	6.18318E-4, 0.175470203
attribute	Marine_Humic_like	bcodmo_name	String	unknown
attribute	Marine_Humic_like	description	String	Coble Peak M (Marine Humic-like)
attribute	Marine_Humic_like	long_name	String	Marine Humic Like
attribute	Marine_Humic_like	units	String	Raman units of water (RU)
variable	Visible_Humic_like		double
attribute	Visible_Humic_like	_FillValue	double	NaN
attribute	Visible_Humic_like	actual_range	double	0.008174298, 0.109941957
attribute	Visible_Humic_like	bcodmo_name	String	unknown
attribute	Visible_Humic_like	description	String	Coble Peak C (Visible Humic-like)
attribute	Visible_Humic_like	long_name	String	Visible Humic Like
attribute	Visible_Humic_like	units	String	Raman units of water (RU)
variable	Tryptophan_like		double
attribute	Tryptophan_like	_FillValue	double	NaN
attribute	Tryptophan_like	actual_range	double	0.006615842, 0.436893496
attribute	Tryptophan_like	bcodmo_name	String	unknown
attribute	Tryptophan_like	description	String	Coble Beak T (Tryptophan-like)
attribute	Tryptophan_like	long_name	String	Tryptophan Like
attribute	Tryptophan_like	units	String	Raman units of water (RU)
variable	Tyrosine_like		double
attribute	Tyrosine_like	_FillValue	double	NaN
attribute	Tyrosine_like	actual_range	double	0.0, 0.487962641
attribute	Tyrosine_like	bcodmo_name	String	unknown
attribute	Tyrosine_like	description	String	Coble Peak B (Tyrosine-like)
attribute	Tyrosine_like	long_name	String	Tyrosine Like
attribute	Tyrosine_like	units	String	Raman units of water (RU)
variable	Phenylalanine_like		double
attribute	Phenylalanine_like	_FillValue	double	NaN
attribute	Phenylalanine_like	actual_range	double	0.0, 1.710984446
attribute	Phenylalanine_like	bcodmo_name	String	unknown
attribute	Phenylalanine_like	description	String	Coble Peak F (Phenylalanine-like)
attribute	Phenylalanine_like	long_name	String	Phenylalanine Like
attribute	Phenylalanine_like	units	String	Raman units of water (RU)
variable	Proteinaceous_fDOM		double
attribute	Proteinaceous_fDOM	_FillValue	double	NaN
attribute	Proteinaceous_fDOM	actual_range	double	0.006615842, 2.631633106
attribute	Proteinaceous_fDOM	bcodmo_name	String	unknown
attribute	Proteinaceous_fDOM	description	String	Sum of peaks A,M, and C (Proteinaceous fDOM)
attribute	Proteinaceous_fDOM	long_name	String	Proteinaceous F DOM
attribute	Proteinaceous_fDOM	units	String	Raman units of water (RU)
variable	Humic_like_fDOM		double
attribute	Humic_like_fDOM	_FillValue	double	NaN
attribute	Humic_like_fDOM	actual_range	double	0.014892989, 0.348826997
attribute	Humic_like_fDOM	bcodmo_name	String	unknown
attribute	Humic_like_fDOM	description	String	Sum of peaks T,B,and F (Humic-like fDOM)
attribute	Humic_like_fDOM	long_name	String	Humic Like F DOM
attribute	Humic_like_fDOM	units	String	Raman units of water (RU)
variable	TP_avg		float
attribute	TP_avg	_FillValue	float	NaN
attribute	TP_avg	actual_range	float	0.08, 2.34
attribute	TP_avg	bcodmo_name	String	P
attribute	TP_avg	description	String	Average Total Phosphorous (TP)
attribute	TP_avg	long_name	String	TP Avg
attribute	TP_avg	units	String	micromoles per liter (µmol L-1)
variable	DOC		float
attribute	DOC	_FillValue	float	NaN
attribute	DOC	actual_range	float	63.73, 124.13
attribute	DOC	bcodmo_name	String	DOC
attribute	DOC	description	String	Dissolved Organic Carbon (DOC)
attribute	DOC	long_name	String	DOC
attribute	DOC	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P01/current/CORGZZZX/
attribute	DOC	units	String	micromoles per liter (µmol L-1)

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.