ERDDAP > info > bcodmo_dataset_762443

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
	set	data	graph		files	public	[Groves Creek 'Omits] - Metagenomic, metatranscriptomics and 16S rRNA gene sequence data from diel sampling at Groves Creek Marsh, Skidaway Island, GA during July 2014 (Collaborative Research: Marine priming effect - molecular mechanisms for the biomineralization of terrigenous dissolved organic matter in the ocean)		F   I   M	background			BCO-DMO	bcodmo_dataset_762443

The Dataset's Variables and Attributes

Row Type	Variable Name	Attribute Name	Data Type	Value
attribute	NC_GLOBAL	access_formats	String	.htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson,.odvTxt
attribute	NC_GLOBAL	acquisition_description	String	Sample collection Surface water samples were collected from approximately 1 m depth using a hand deployed Niskin bottle. Samples for dissolved constituents (dissolved organic carbon, colored dissolved organic matter, and nutrient analyses) were filtered on site through 0.2 \uf06dm Polycap filters within minutes of collection and then transported to the laboratory for further processing. For cell counts by flow cytometry, samples were transported to the laboratory and fixed using 25% glutaraldehyde. For additional microbial analyses (microbial biomass collection for DNA and RNA extractions and bacterial production) were returned to the laboratory, which was within 10 minutes\u2019 drive of the field site. Salinity was measured for discrete samples collected in the field using a handheld multiparameter probe (YSI, Pro2030).\u00a0 Depth was recorded using a YSI 600OMS V2 Optical Monitoring Sonde deployed on the creek bed.\u00a0 Microbial community analysis sample collection Planktonic microbial cells from surface water samples were collected by filtration. Water was pre-filtered through a GF/D glass fiber filter (~2.7 \u03bcM pore size, Whatman, GE Healthcare Life Sciences, Marlborough, MA); 500 mL of the filtrate was passed through a 0.22 \u03bcM pore size, 47 mm diameter filter (Millipore, Burlington, MA). Filtration was completed within 30 min of sample collection. After filtration all filters were placed in cryovials and flash frozen in liquid nitrogen. The samples were stored at -80 C until processing.\u00a0 Microbial community analysis sample processing Nucleic acids were extracted from samples following standard methodology. Briefly, for DNA the filters were thawed and placed in a 2 mL tube with 0.3 g glass and zirconia beads (0.2 g glass and 0.1 g zirconia), 0.75 mL CTAB extraction buffer, 0.75 mL phenol:chloroform:isoamyl alcohol (25:24:1, pH 8), internal standards, proteinase K, 10% SDS, and lysozyme for DNA extractions. Samples were vortexed for 10 min to lyse the cells. For RNA extraction, sample tubes were centrifuged for 10 min at 10,000 rpm and 4\u00b0 C. The lysates were transferred to a sterile 1.5 mL microcentrifuge tube and mixed with 0.75 mL chloroform:isoamyl alcohol (24:1). The aqueous phase was added to a sterile 1.5 mL microcentrifuge with MgCl2, sodium acetate, and isopropanol. This solution was incubated at -80\u00b0 C for 1.5 hours and then centrifuged at 4\u00b0 C for 45 min at 10,000 rpm. The supernatant was discarded, and the RNA was washed with 70% EtOH twice. Following RNA extraction Turbo DNase was used to remove residual DNA. For metagenomic samples the lysate was centrifuged at 5,000 rpm for 5 min and washed twice with 0.5 mL of chloroform:isoamyl alcohol by centrifugation at 15,000 rpm for 5 min. The upper aqueous phase was incubated with isopropanol at room temperature for 2 hrs. The DNA was precipitated by centrifugation at 10,000 rpm for an hour and washed with 70% EtOH twice.\u00a0 All sequencing, assembly, and annotation was performed by the DOE Joint Genome Institute (JGI). JGI generated 16S rRNA libraries, metagenomes, and metatranscriptomes. Plate-based DNA library preparation for Illumina sequencing was performed on the PerkinElmer Sciclone NGS robotic liquid handling system using Kapa Biosystems library preparation kit. DNA was sheared to 300 base pairs (bp) using the Covaris LE220 focused-ultrasonicator and size selected using SPRI beads (Beckman Coulter). The fragments were treated with end-repair, A-tailing, and ligation of Illumina compatible adapters (IDT, Inc) containing a unique molecular index barcode for each sample library. qPCR was used to determine the concentration of the libraries and were sequenced on the Illumina HiSeq-2500 to yield 150 bp paired-end reads at the DOE Joint Genome Institute. Quality filtered metagenomic sequences for each sample were assembled with metaSPAdes (version 3.10.1; and all contigs >200 bp were uploaded and annotated by the Integrated Microbial Genomes (IMG) pipeline. For metatranscriptomes, a plate-based RNA sample preparation was performed on the PerkinElmer Sciclone NGS robotic liquid handling system using the Illumina Ribo-Zero rRNA Removal Kit (bacteria) and the TruSeq Stranded Total RNA HT sample prep kit following the protocol outlined by Illumina. Total RNA starting material consisted of 100 ng per sample and included 10 cycles of PCR for library amplification. Illumina sequencing was performed as described for metagenome samples.\u00a0 Quality filtered metatranscriptomic sequences for each sample were assembled with Megahit (version 1.10.6), and all contigs > 200 bp were annotated as described for the metagenome samples. Datasets which had assemblies for which the N50 was greater than three standard deviations from mean were not included in further analyses (Supplemental Tables 1 and 2) Resultant assemblies were combined with coding sequences (CDS) using bedtools2 (version 2.27.0) in order to generate an assembly with CDS embedded. Quality controlled raw reads were mapped to the assembly with gene features using bowtie2 (version 2.2.9). Coverage information on the number of reads mapping to each contig was generated using pileup in the BBmap suite of tools. The coverage information was used to normalize read counts to account for the length of reads and the length of CDS.\u00a0 Read counts within KEGG ortholog groups (KO) were summed and normalized as read counts per million mapped to KO-annotated contigs (genes per million [GPM], transcripts per million [TPM]). GPM and TPM were also used in taxonomic analyses.
attribute	NC_GLOBAL	awards_0_award_nid	String	554156
attribute	NC_GLOBAL	awards_0_award_number	String	OCE-1357242
attribute	NC_GLOBAL	awards_0_data_url	String	http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1357242
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	Sample information for metagenomic, metatranscriptomics and 16S rRNA gene sequence data from diel sampling at Groves Creek Marsh, Skidaway Island, GA during July 2014 PI: Alison Buchan Version: 2019-03-18
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	2019-03-18T15:41:53Z
attribute	NC_GLOBAL	date_modified	String	2019-03-19T15:27:25Z
attribute	NC_GLOBAL	defaultDataQuery	String	&time<now
attribute	NC_GLOBAL	doi	String	10.1575/1912/bco-dmo.762443.1
attribute	NC_GLOBAL	Easternmost_Easting	double	-81.028
attribute	NC_GLOBAL	geospatial_lat_max	double	31.972
attribute	NC_GLOBAL	geospatial_lat_min	double	31.972
attribute	NC_GLOBAL	geospatial_lat_units	String	degrees_north
attribute	NC_GLOBAL	geospatial_lon_max	double	-81.028
attribute	NC_GLOBAL	geospatial_lon_min	double	-81.028
attribute	NC_GLOBAL	geospatial_lon_units	String	degrees_east
attribute	NC_GLOBAL	geospatial_vertical_max	double	4.5
attribute	NC_GLOBAL	geospatial_vertical_min	double	1.8
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/762443
attribute	NC_GLOBAL	institution	String	BCO-DMO
attribute	NC_GLOBAL	instruments_0_acronym	String	Niskin bottle
attribute	NC_GLOBAL	instruments_0_dataset_instrument_description	String	Surface water samples were collected from approximately 1 m depth using a hand deployed Niskin bottle.
attribute	NC_GLOBAL	instruments_0_dataset_instrument_nid	String	762448
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	Niskin bottle
attribute	NC_GLOBAL	instruments_1_acronym	String	Nutrient Autoanalyzer
attribute	NC_GLOBAL	instruments_1_dataset_instrument_description	String	Samples were analyzed for NOx, NH4, PO4 and SiO2 using a Lachat Quickchem FIA+ 8000 nutrient analyzer, following established colorimetric protocols.
attribute	NC_GLOBAL	instruments_1_dataset_instrument_nid	String	762453
attribute	NC_GLOBAL	instruments_1_description	String	Nutrient Autoanalyzer is a generic term used when specific type, make and model were not specified. In general, a Nutrient Autoanalyzer is an automated flow-thru system for doing nutrient analysis (nitrate, ammonium, orthophosphate, and silicate) on seawater samples.
attribute	NC_GLOBAL	instruments_1_instrument_external_identifier	String	https://vocab.nerc.ac.uk/collection/L05/current/LAB04/
attribute	NC_GLOBAL	instruments_1_instrument_name	String	Nutrient Autoanalyzer
attribute	NC_GLOBAL	instruments_1_instrument_nid	String	558
attribute	NC_GLOBAL	instruments_1_supplied_name	String	Lachat Quickchem FIA+ 8000 nutrient analyzer
attribute	NC_GLOBAL	instruments_2_acronym	String	Shimadzu TOC-V
attribute	NC_GLOBAL	instruments_2_dataset_instrument_description	String	Following filtration, sample aliquots were transferred to pre-combusted 40 mL glass vials, acidified to pH 2 (hydrochloric acid), and analyzed for non-purgable organic carbon using a Shimadzu TOC-VCPH analyzer fitted with a Shimadzu ASI-V autosampler.
attribute	NC_GLOBAL	instruments_2_dataset_instrument_nid	String	762451
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-VCPH analyzer
attribute	NC_GLOBAL	instruments_3_acronym	String	LSC
attribute	NC_GLOBAL	instruments_3_dataset_instrument_description	String	Tubes were then placed in to a liquid scintillation counter (Beckman LS-6500) overnight and measured disintegrations per minute (DPM) for live samples were corrected using DPM recorded for killed controls.
attribute	NC_GLOBAL	instruments_3_dataset_instrument_nid	String	762454
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 (Beckman LS-6500)
attribute	NC_GLOBAL	instruments_4_acronym	String	YSI Sonde 6-Series
attribute	NC_GLOBAL	instruments_4_dataset_instrument_description	String	Depth was recorded using a YSI 600OMS V2 Optical Monitoring Sonde deployed on the creek bed.
attribute	NC_GLOBAL	instruments_4_dataset_instrument_nid	String	762450
attribute	NC_GLOBAL	instruments_4_description	String	YSI 6-Series water quality sondes and sensors are instruments for environmental monitoring and long-term deployments. YSI datasondes accept multiple water quality sensors (i.e., they are multiparameter sondes). Sondes can measure temperature, conductivity, dissolved oxygen, depth, turbidity, and other water quality parameters. The 6-Series includes several models. More from YSI.
attribute	NC_GLOBAL	instruments_4_instrument_external_identifier	String	https://vocab.nerc.ac.uk/collection/L22/current/TOOL0737/
attribute	NC_GLOBAL	instruments_4_instrument_name	String	YSI Sonde 6-Series
attribute	NC_GLOBAL	instruments_4_instrument_nid	String	663
attribute	NC_GLOBAL	instruments_4_supplied_name	String	YSI 600OMS V2 Optical Monitoring Sonde
attribute	NC_GLOBAL	instruments_5_acronym	String	YSI ProPlus
attribute	NC_GLOBAL	instruments_5_dataset_instrument_description	String	Salinity was measured for discrete samples collected in the field using a handheld multiparameter probe (YSI, Pro2030).
attribute	NC_GLOBAL	instruments_5_dataset_instrument_nid	String	762449
attribute	NC_GLOBAL	instruments_5_description	String	The YSI Professional Plus handheld multiparameter meter provides for the measurement of a variety of combinations for dissolved oxygen, conductivity, specific conductance, salinity, resistivity, total dissolved solids (TDS), pH, ORP, pH/ORP combination, ammonium (ammonia), nitrate, chloride and temperature. More information from the manufacturer.
attribute	NC_GLOBAL	instruments_5_instrument_name	String	YSI Professional Plus Multi-Parameter Probe
attribute	NC_GLOBAL	instruments_5_instrument_nid	String	666
attribute	NC_GLOBAL	instruments_5_supplied_name	String	YSI, Pro2030
attribute	NC_GLOBAL	instruments_6_acronym	String	Spectrophotometer
attribute	NC_GLOBAL	instruments_6_dataset_instrument_description	String	Filtered samples (non-acidified) were placed in a 1 cm quartz absorbance cell situated in the light path of an Agilent 8453 ultraviolet-visible spectrophotometer and CDOM absorbance spectra were recorded from 190 to 800 nm.
attribute	NC_GLOBAL	instruments_6_dataset_instrument_nid	String	762452
attribute	NC_GLOBAL	instruments_6_description	String	An instrument used to measure the relative absorption of electromagnetic radiation of different wavelengths in the near infra-red, visible and ultraviolet wavebands by samples.
attribute	NC_GLOBAL	instruments_6_instrument_external_identifier	String	https://vocab.nerc.ac.uk/collection/L05/current/LAB20/
attribute	NC_GLOBAL	instruments_6_instrument_name	String	Spectrophotometer
attribute	NC_GLOBAL	instruments_6_instrument_nid	String	707
attribute	NC_GLOBAL	instruments_6_supplied_name	String	Agilent 8453 ultraviolet-visible spectrophotometer
attribute	NC_GLOBAL	keywords	String	a254, a254_DOC, bacterial, Bacterial_Production, bco, bco-dmo, biological, cell, Cell_Density, chemical, commerce, data, dataset, density, department, depth, dmo, doc, DOC_TDN, earth, Earth Science > Oceans > Salinity/Density > Salinity, erddap, latitude, lignin, longitude, management, ocean, oceanography, oceans, office, point, practical, preliminary, production, salinity, science, sea, sea_water_practical_salinity, seawater, tdn, temperature, time, Time_point, water
attribute	NC_GLOBAL	keywords_vocabulary	String	GCMD Science Keywords
attribute	NC_GLOBAL	license	String	https://www.bco-dmo.org/dataset/762443/license
attribute	NC_GLOBAL	metadata_source	String	https://www.bco-dmo.org/api/dataset/762443
attribute	NC_GLOBAL	Northernmost_Northing	double	31.972
attribute	NC_GLOBAL	param_mapping	String	{'762443': {'lat': 'flag - latitude', 'Depth': 'flag - depth', 'lon': 'flag - longitude', 'Time': 'flag - time'}}
attribute	NC_GLOBAL	parameter_source	String	https://www.bco-dmo.org/mapserver/dataset/762443/parameters
attribute	NC_GLOBAL	people_0_affiliation	String	University of Tennessee
attribute	NC_GLOBAL	people_0_person_name	String	Alison Buchan
attribute	NC_GLOBAL	people_0_person_nid	String	51331
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	Woods Hole Oceanographic Institution
attribute	NC_GLOBAL	people_1_affiliation_acronym	String	WHOI BCO-DMO
attribute	NC_GLOBAL	people_1_person_name	String	Mathew Biddle
attribute	NC_GLOBAL	people_1_person_nid	String	708682
attribute	NC_GLOBAL	people_1_role	String	BCO-DMO Data Manager
attribute	NC_GLOBAL	people_1_role_type	String	related
attribute	NC_GLOBAL	project	String	Marine priming effect
attribute	NC_GLOBAL	projects_0_acronym	String	Marine priming effect
attribute	NC_GLOBAL	projects_0_description	String	Description from NSF award abstract: Large fluxes of apparently refractory terrigenous dissolved organic matter (t-DOM) are transported through rivers to the coast each year, yet there are vanishingly low traces of t-DOM in the oceans. The removal of t-DOM is central to the global carbon cycle, yet the mechanisms that drive removal remain poorly understood. In soils, the presence of labile organic compounds is known to enhance the remineralization of recalcitrant compounds, a phenomenon known as the priming effect (PE). The PE is quantitatively important in soil systems, but has received little attention in aquatic systems despite its potential to explain C mineralization patterns at the land-sea interface. This project investigates the magnitude of PE in the coastal ocean and the metabolic and ecological mechanisms that give rise to it. It focuses on the microbial communities of US Atlantic Ocean coastal marshes. In these systems, river-borne t-DOM provides a particularly valuable and tractable model for evaluating the magnitude of the PE. The study utilizes a well-characterized DOM standard collected from a Georgia river as the model t-DOM material in a series of laboratory experiments with natural coastal microbial communities and cultures of heterotrophic marine bacteria of the Roseobacter lineage. Roseobacters are particularly appropriate biological models for this work as they are abundant in southeastern US coastal zones and are known to catabolize lignin and other plant-derived aromatic compounds. Long-term (60 day) incubation experiments will track the PE resulting from addition of labile DOM of differing chemical complexity. Changes in lignin phenols will be the primary measure of the influence of PE on t-DOM degradation, but the research also monitors a broader suite of aromatic compounds represented by optical properties and identified by high-resolution mass spectrometry. Measurements of the microbial response to added labile organic matter, via extracellular enzyme activities, bacterial production, community composition and gene transcript analysis, will reveal the biological mechanisms responsible for the PE. Experiments using Roseobacter strains will allow detailed investigation of the relationship between metabolic pathways, specific bacteria, and organic carbon mineralization in a well-defined experimental system. Data on gene expression, microbial activity, and DOM transformations from the lab experiments will be integrated to elucidate the specific metabolic pathways invoked as part of the PE and guide development of molecular tools to track genetic signatures along a river to coastal ocean transect in the final year of the project. The role of heterotrophic microorganisms in remineralizing t-DOM at the land-sea interface is a central question in biological oceanography. Components of t-DOM, principally lignin, are refractory in the sense that degradation rates are typically slow relative to other biomolecules, and yet lignin is effectively removed somewhere between land and the open ocean. The project will determine whether priming plays a role in the rapid removal of t-DOM in the coastal ocean, provide evidence for the types of labile organic matter most effective as priming agents, and attemp to discover the metabolic pathways by which the PE is mediated. These studies have the potential to reveal conserved and predictable metabolic responses that may contribute to regulation of the transformation and turnover of naturally occurring semi-labile/refractory DOM in marine environments. As climate change is likely to affect fluxes of both terrigenous carbon and nutrients to the coastal ocean, understanding the magnitude and mechanisms of PE will be necessary to predict the geochemical consequences of these changing fluxes. This project is related to the project "Tempo and mode of salt marsh exchange" found at https://www.bco-dmo.org/project/564747.
attribute	NC_GLOBAL	projects_0_end_date	String	2017-03
attribute	NC_GLOBAL	projects_0_name	String	Collaborative Research: Marine priming effect - molecular mechanisms for the biomineralization of terrigenous dissolved organic matter in the ocean
attribute	NC_GLOBAL	projects_0_project_nid	String	554157
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	Southernmost_Northing	double	31.972
attribute	NC_GLOBAL	standard_name_vocabulary	String	CF Standard Name Table v55
attribute	NC_GLOBAL	subsetVariables	String	latitude,longitude
attribute	NC_GLOBAL	summary	String	Groves Creek Marsh (31.972\u00b0 N, 81.028\u00b0 W), a temperate salt marsh fringing Skidaway Island, GA served as the field site for this study. During July 16-17, 2014, samples were collected every two hours and four minutes to evenly sample across two tidal cycles and one diurnal cycle.
attribute	NC_GLOBAL	time_coverage_end	String	2014-07-17T11:45:00Z
attribute	NC_GLOBAL	time_coverage_start	String	2014-07-16T11:00:00Z
attribute	NC_GLOBAL	title	String	[Groves Creek 'Omits] - Metagenomic, metatranscriptomics and 16S rRNA gene sequence data from diel sampling at Groves Creek Marsh, Skidaway Island, GA during July 2014 (Collaborative Research: Marine priming effect - molecular mechanisms for the biomineralization of terrigenous dissolved organic matter in the ocean)
attribute	NC_GLOBAL	version	String	1
attribute	NC_GLOBAL	Westernmost_Easting	double	-81.028
attribute	NC_GLOBAL	xml_source	String	osprey2erddap.update_xml() v1.3
variable	Time_point		byte
attribute	Time_point	_FillValue	byte	127
attribute	Time_point	actual_range	byte	1, 13
attribute	Time_point	bcodmo_name	String	sample_descrip
attribute	Time_point	description	String	time point
attribute	Time_point	long_name	String	Time Point
attribute	Time_point	units	String	unitless
variable	time		double
attribute	time	_CoordinateAxisType	String	Time
attribute	time	actual_range	double	1.4055084E9, 1.4055975E9
attribute	time	axis	String	T
attribute	time	bcodmo_name	String	date
attribute	time	description	String	Time of observation
attribute	time	ioos_category	String	Time
attribute	time	long_name	String	Time
attribute	time	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/
attribute	time	standard_name	String	time
attribute	time	time_origin	String	01-JAN-1970 00:00:00
attribute	time	time_precision	String	1970-01-01T00:00:00Z
attribute	time	units	String	seconds since 1970-01-01T00:00:00Z
variable	Temperature		float
attribute	Temperature	_FillValue	float	NaN
attribute	Temperature	actual_range	float	28.6, 30.7
attribute	Temperature	bcodmo_name	String	temperature
attribute	Temperature	description	String	temperature
attribute	Temperature	long_name	String	Temperature
attribute	Temperature	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/
attribute	Temperature	units	String	degrees Celsius
variable	depth		double
attribute	depth	_CoordinateAxisType	String	Height
attribute	depth	_CoordinateZisPositive	String	down
attribute	depth	_FillValue	double	NaN
attribute	depth	actual_range	double	1.8, 4.5
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
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	Salinity		float
attribute	Salinity	_FillValue	float	NaN
attribute	Salinity	actual_range	float	29.4, 30.7
attribute	Salinity	bcodmo_name	String	sal
attribute	Salinity	colorBarMaximum	double	37.0
attribute	Salinity	colorBarMinimum	double	32.0
attribute	Salinity	description	String	salinity
attribute	Salinity	long_name	String	Sea Water Practical Salinity
attribute	Salinity	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P01/current/PSALST01/
attribute	Salinity	units	String	parts per thousand (ppt)
variable	Cell_Density		String
attribute	Cell_Density	bcodmo_name	String	density
attribute	Cell_Density	description	String	cell density
attribute	Cell_Density	long_name	String	Cell Density
attribute	Cell_Density	units	String	cells per mililiter (cells/mL)
variable	Bacterial_Production		String
attribute	Bacterial_Production	bcodmo_name	String	production
attribute	Bacterial_Production	description	String	bacterial production
attribute	Bacterial_Production	long_name	String	Bacterial Production
attribute	Bacterial_Production	units	String	milimole per hour (mmol/h)
variable	DOC		float
attribute	DOC	_FillValue	float	NaN
attribute	DOC	actual_range	float	231.5, 475.08
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	mm
variable	TDN		float
attribute	TDN	_FillValue	float	NaN
attribute	TDN	actual_range	float	16.44, 88.14
attribute	TDN	bcodmo_name	String	Total Dissolved Nitrogren
attribute	TDN	description	String	TDN
attribute	TDN	long_name	String	TDN
attribute	TDN	units	String	mm
variable	DOC_TDN		float
attribute	DOC_TDN	_FillValue	float	NaN
attribute	DOC_TDN	actual_range	float	5.39, 15.16
attribute	DOC_TDN	bcodmo_name	String	unknown
attribute	DOC_TDN	description	String	DOC/TDN
attribute	DOC_TDN	long_name	String	DOC TDN
attribute	DOC_TDN	units	String	unitless
variable	a254_DOC		float
attribute	a254_DOC	_FillValue	float	NaN
attribute	a254_DOC	actual_range	float	0.046, 0.075
attribute	a254_DOC	bcodmo_name	String	unknown
attribute	a254_DOC	description	String	a254/DOC
attribute	a254_DOC	long_name	String	A254 DOC
attribute	a254_DOC	units	String	unitless
variable	Lignin		float
attribute	Lignin	_FillValue	float	NaN
attribute	Lignin	actual_range	float	0.041, 0.324
attribute	Lignin	bcodmo_name	String	unknown
attribute	Lignin	description	String	Lignin
attribute	Lignin	long_name	String	Lignin
attribute	Lignin	units	String	mg 1/ mg OC
variable	latitude		double
attribute	latitude	_CoordinateAxisType	String	Lat
attribute	latitude	_FillValue	double	NaN
attribute	latitude	actual_range	double	31.972, 31.972
attribute	latitude	axis	String	Y
attribute	latitude	bcodmo_name	String	latitude
attribute	latitude	colorBarMaximum	double	90.0
attribute	latitude	colorBarMinimum	double	-90.0
attribute	latitude	description	String	latitude; North is positive; negative denotes South
attribute	latitude	ioos_category	String	Location
attribute	latitude	long_name	String	Latitude
attribute	latitude	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P09/current/LATX/
attribute	latitude	standard_name	String	latitude
attribute	latitude	units	String	degrees_north
variable	longitude		double
attribute	longitude	_CoordinateAxisType	String	Lon
attribute	longitude	_FillValue	double	NaN
attribute	longitude	actual_range	double	-81.028, -81.028
attribute	longitude	axis	String	X
attribute	longitude	bcodmo_name	String	longitude
attribute	longitude	colorBarMaximum	double	180.0
attribute	longitude	colorBarMinimum	double	-180.0
attribute	longitude	description	String	longitude; East is positive; negative denotes West
attribute	longitude	ioos_category	String	Location
attribute	longitude	long_name	String	Longitude
attribute	longitude	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P09/current/LONX/
attribute	longitude	standard_name	String	longitude
attribute	longitude	units	String	degrees_east

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.