ERDDAP > info > bcodmo_dataset_783581

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	Fluorescent characteristics of the dissolved organic exudates of two species of crustose coralline algae in two water treatments and their effect on the microbial community cell count		I   M	background			BCO-DMO	bcodmo_dataset_783581

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 following sections contain methodology excerpts from Quinlain et al. (2019) relevant to this dataset. Crustose Coraline Algae Collection and Identification Both Hydrolithon reinboldii and Porolithon onkodes were collected from Patch Reef 42 (21.4785\u02da, -157.8281\u02da) in K\u0101ne'ohe Bay, O'ahu, Hawai'i on 4 May 2017. Porolithon onkodes is a common CCA species in the Pacific Ocean that is often used for larval settlement experiments with coral species in Australia (Heyward and Negri 1999). It is typically found in high light and high flow environments, such as at the top of the patch reefs in K\u0101ne\u2018ohe Bay. This species is characterized by its smooth surface texture, and diagnostic depressions of trichosite fields. While there is a recent paper showing that this species is a species complex globally (Gabrielson et al., 2018), we retain the use of the name P. onkodes here to be consistent with the published taxonomic monograph for CCA in Hawai\u02bbi (Adey et al., 1982). Hydrolithon reinboldii is also a common CCA species that is found throughout the Pacific Ocean. It is known to facilitate coral larval settlement (Harrington et al., 2004). This species often lives cryptically in cracks in the reef or on the bottom of small pieces of calcium carbonate rubble. It is characterized by slightly raised hemispherical single pore conceptacles (400-600 \u00b5m in diameter), and a patchy surface texture referred to as tessellate (Adey et al., 1982). Fragments of both species of CCA were trimmed using bone cutters to ensure only a single plant was on each fragment. Each fragment still retained bare calcium carbonate along with the individual species of CCA. To control for the bare calcium carbonate, encrusted fragments of calcium carbonate were similarly trimmed to remove any small CCA plants and epiphytes leaving only the calcium carbonate rubble and endophytes. After fragmentation the specimens were haphazardly placed into six containers and randomized within a 1300 L flow through seawater bath to maintain all treatments at a stable temperature, which was the same as those found in K\u0101ne\u2018ohe Bay. As there are currently no studies on the effect of fragmentation on exudate production we allowed the fragmented algae to recover for five days before starting the exudation experiment. Flow through seawater baths were covered by shade cloth to reduce natural irradiance to levels similar to those found at depth in K\u0101ne\u2018ohe Bay where both species are naturally found. Both species were exposed to the same light levels as to not bias by variation of abiotic parameters. Incubations and sample collection Twenty-four 250 mL glass beakers were washed with 10% volumetric HCl, rinsed with milliq-water and air-dried. At 07:30 on 9 May, 3 L of seawater (sand filtered and collected from the Hawai\u2018i Institute of Marine Biology flow- through seawater system in K\u0101ne'ohe Bay) was vacuum pre-filtered through 0.2\u00b5m polyethersulfone filters (47 mm; Sterlitech) in a 500 mL polysulfone graduated filter holder. Before water was aliquoted into the beakers, samples for fluorescent DOM (fDOM), dissolved organic carbon (DOC), and flow cytometry (FCM) were collected from the 500 mL polysulfone graduated filter holder. Each beaker was filled and randomized within a 1300L flow through seawater bath to maintain stable temperature between the treatments. Each organism treatment beaker (water control, calcium carbonate control, Hydrolithon reinboldii, or Porolithon onkodes) was filled with seawater (filtered or unfiltered) and replicated (n = 3) for a total of 24 beakers (4 organismal treatments * 2 water treatments * 3 replicates). Filtered and unfiltered treatments were designed to capture differences in sloughing behavior between species. A Multiple trimmed fragments of each organism were placed within their respective beakers so that the total surface area within each replicate beaker was standardized to 20-30 square cm (25.57 \u00b1 4.13 cm2). The incubation began at 9:00 and was halted at 17:00 to maintain only exudates produced during the daylight hours. Surface area was digitally determined at the end of the experiment by analyzing images to scale with image-J (Schindelin, Arganda-Carreras, & Frise et al, 2012). DOM samples were collected at the beginning of the experiment before aliquoting the water at 9:00 and from each beaker at 17:00. DOM samples were immediately filtered through a 0.2 \u00b5m polyethersulfone filter (47 mm; Sterlitech) in a 500 mL polysulfone graduated filter holder. Filtrate was poured directly from polysulfone graduated filter holder into its respective sample vial, Filtrate for fDOM samples were collected in acid washed, combusted, triple sample-rinsed amber borosilicate vials with Teflon septa caps and stored dark at 4\u02daC until analysis for fDOM within 24 hours. DOC was collected in acid washed, combusted, triple sample rinsed clear borosilicate vials with Teflon septa caps and measured as non-purgeable organic carbon via acidification, sparging and high temperature platinum catalytic oxidation on a Shimadzu TOC-V at the UCSB DOM Analytical Lab following the methods outlined by Carlson et al. (2010). Samples for flow cytometry were collected by pipet (1 ml amended to a final concentration of 0.5% paraformaldehyde, mixed by inversion, snap frozen -80\u00baC) at 9:00, 13:00, and 17:00. Sample analysis Flow Cytometry: Flow cytometry was used to measure total nucleic acid-stained cell concentrations. Samples were thawed and 200 \u00b5L were aliquoted into u-bottomed 96-well autosampler plates and stained with 2 \u00b5L of 100X SYBR Green I stain (final concentration of 0.5X). Samples were analyzed on an Attune Acoustic Focusing Cytometer with Autosampler Attachment (Life Technologies, Eugene, OR, USA). Samples were run at a flow rate of 100 \u00b5L min-1 on standard sensitivity; 150 \u03bcL of sample was aspirated, 75 \u03bcL was counted and data was collected only from the last 50 \u03bcL (event rates were empirically determined to be steady only after 25 \u03bcL of continuous sample injection per Nelson et al., 2015). Fluorescence spectroscopy: Samples for fluorescence spectroscopy were measured using an Horiba Aqualog scanning fluorometer following the methods of Nelson et al. (2015), including scan time and resolution, spectral data processing, inner filter correction, Raman unit standardization, blank subtraction and PARAFAC modeling (Stedmon and Bro 2008; Lawaetz and Stedmon 2009; Kothawala et al. 2013). Scans were processed using a Matlab (v2007b) script written and specified by Nelson et al. (2015) and Quinlan et al., (2018; most recent version available at DOI: 10.5281/zenodo/3479841), modified to additionally capture the peak present at Excitation 240 nm and Emission 300 nm (phenylalanine-like: Lakowicz 2010). Six modeled components were validated using split half validation and outlier analysis (Quinlan et. al., 2018). All PARAFAC components had similar excitation-emission maxima and strong covariation among samples with previously identified fluorophores (Quinlan, et. al., 2018); for subsequent analyses we examined established fluorescence maxima from the literature (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	Hawaiian crustose coralline algae dissolved organic matter PI: Craig E. Nelson (University of Hawaii) Version date: 2019-12-06
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	2019-12-05T20:02:09Z
attribute	NC_GLOBAL	date_modified	String	2019-12-06T20:31:52Z
attribute	NC_GLOBAL	defaultDataQuery	String	&time<now
attribute	NC_GLOBAL	doi	String	10.1575/1912/bco-dmo.783581.1
attribute	NC_GLOBAL	infoUrl	String	https://www.bco-dmo.org/dataset/783581
attribute	NC_GLOBAL	institution	String	BCO-DMO
attribute	NC_GLOBAL	instruments_0_acronym	String	Fluorometer
attribute	NC_GLOBAL	instruments_0_dataset_instrument_nid	String	783589
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	783590
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_1_supplied_name	String	Shimadzu TOC-V Analyzer
attribute	NC_GLOBAL	instruments_2_acronym	String	FIA
attribute	NC_GLOBAL	instruments_2_dataset_instrument_nid	String	783588
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	acid, area, bco, bco-dmo, biological, cells, chemical, commerce, data, dataset, delta, delta_Cells, department, dmo, doc, erddap, fulvic, Fulvic_Acid_like, hours, humic, inhabitant, like, management, marine, Marine_Humic_like, oceanography, office, phenylalanine, Phenylalanine_like, preliminary, replicate, surface, Surface_Area, timepoint, tryptophan, Tryptophan_like, tyrosine, Tyrosine_like, ultra, Ultra_Violet_Humic_like, violet, visible, Visible_Humic_like, water
attribute	NC_GLOBAL	license	String	https://www.bco-dmo.org/dataset/783581/license
attribute	NC_GLOBAL	metadata_source	String	https://www.bco-dmo.org/api/dataset/783581
attribute	NC_GLOBAL	param_mapping	String	{'783581': {}}
attribute	NC_GLOBAL	parameter_source	String	https://www.bco-dmo.org/mapserver/dataset/783581/parameters
attribute	NC_GLOBAL	people_0_affiliation	String	University of Hawaii at Manoa
attribute	NC_GLOBAL	people_0_affiliation_acronym	String	SOEST
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	SOEST
attribute	NC_GLOBAL	people_1_person_name	String	Zachary A. Quinlan
attribute	NC_GLOBAL	people_1_person_nid	String	726344
attribute	NC_GLOBAL	people_1_role	String	Contact
attribute	NC_GLOBAL	people_1_role_type	String	related
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	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	Fluorescent characteristics of the dissolved organic exudates of two species of crustose coralline algae (Hydrolithon reinboldii and Porolithon onkodes) in two water treatments (pre-filtered and unfiltered) and their effect on the microbial community cell count.
attribute	NC_GLOBAL	title	String	Fluorescent characteristics of the dissolved organic exudates of two species of crustose coralline algae in two water treatments and their effect on the microbial community cell count
attribute	NC_GLOBAL	version	String	1
attribute	NC_GLOBAL	xml_source	String	osprey2erddap.update_xml() v1.3
variable	Water		String
attribute	Water	bcodmo_name	String	treatment
attribute	Water	description	String	Water treatment
attribute	Water	long_name	String	Water
attribute	Water	units	String	unitless
variable	Inhabitant		String
attribute	Inhabitant	bcodmo_name	String	sample
attribute	Inhabitant	description	String	Organism or control treatment
attribute	Inhabitant	long_name	String	Inhabitant
attribute	Inhabitant	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P02/current/ACYC/
attribute	Inhabitant	units	String	unitless
variable	Replicate		byte
attribute	Replicate	_FillValue	byte	127
attribute	Replicate	actual_range	byte	1, 3
attribute	Replicate	bcodmo_name	String	replicate
attribute	Replicate	description	String	Replicate beaker
attribute	Replicate	long_name	String	Replicate
attribute	Replicate	units	String	unitless
variable	Timepoint		byte
attribute	Timepoint	_FillValue	byte	127
attribute	Timepoint	actual_range	byte	1, 3
attribute	Timepoint	bcodmo_name	String	time_point
attribute	Timepoint	description	String	Time-lapse of data collection
attribute	Timepoint	long_name	String	Timepoint
attribute	Timepoint	units	String	unitless
variable	Hours		byte
attribute	Hours	_FillValue	byte	127
attribute	Hours	actual_range	byte	1, 8
attribute	Hours	bcodmo_name	String	time_elapsed
attribute	Hours	description	String	Hours of incubation
attribute	Hours	long_name	String	Hours
attribute	Hours	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P01/current/ELTMZZZZ/
attribute	Hours	units	String	hours
variable	Cells		double
attribute	Cells	_FillValue	double	NaN
attribute	Cells	actual_range	double	13.64, 1141.92
attribute	Cells	bcodmo_name	String	abundance
attribute	Cells	description	String	number of cells measure by FCM
attribute	Cells	long_name	String	Cells
attribute	Cells	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P03/current/B070/
attribute	Cells	units	String	cells per microliter (cells uL-1)
variable	delta_Cells		double
attribute	delta_Cells	_FillValue	double	NaN
attribute	delta_Cells	actual_range	double	-94.86, 479.061225
attribute	delta_Cells	bcodmo_name	String	abundance
attribute	delta_Cells	description	String	change in cells from T0:TF
attribute	delta_Cells	long_name	String	Delta Cells
attribute	delta_Cells	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P03/current/B070/
attribute	delta_Cells	units	String	cells per microliter (cells uL-1)
variable	Surface_Area		float
attribute	Surface_Area	_FillValue	float	NaN
attribute	Surface_Area	actual_range	float	16.603, 36.147
attribute	Surface_Area	bcodmo_name	String	surface_area
attribute	Surface_Area	description	String	sum surface area of cca in treatment
attribute	Surface_Area	long_name	String	Surface Area
attribute	Surface_Area	units	String	square centimeters (cm^2)
variable	Ultra_Violet_Humic_like		double
attribute	Ultra_Violet_Humic_like	_FillValue	double	NaN
attribute	Ultra_Violet_Humic_like	actual_range	double	0.0198831163049, 0.0545693486016
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	0.0222084940491, 0.056609340363
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	0.0199823279068, 0.0593025147738
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	0.0166615440204, 0.0844118245414
attribute	Tryptophan_like	bcodmo_name	String	unknown
attribute	Tryptophan_like	description	String	Coble Peak 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	0.0197481729303, 0.06007038535
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, 0.0417268191721
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	Fulvic_Acid_like		double
attribute	Fulvic_Acid_like	_FillValue	double	NaN
attribute	Fulvic_Acid_like	actual_range	double	0.0096660756124, 0.0284126318272
attribute	Fulvic_Acid_like	bcodmo_name	String	unknown
attribute	Fulvic_Acid_like	description	String	Stedmon peak D (Fulvic acid like)
attribute	Fulvic_Acid_like	long_name	String	Fulvic Acid Like
attribute	Fulvic_Acid_like	units	String	Raman units of water (RU)
variable	DOC		float
attribute	DOC	_FillValue	float	NaN
attribute	DOC	actual_range	float	131.47, 232.59
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 (umol 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.