ERDDAP > info > bcodmo_dataset_817952

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	[Underway POM] - Particulate organic matter data set from samples collected using ship’s surface underway system taken on board of the R/V Oceanus OC1701A, OC1611B, OC1603B, OC1602A, OC1601A in the Oregon Coast (47-43 N, 126-124 W) from 2016 to 2017. (Coastal Ocean Carbon Cycling during Wintertime Conditions)		F   I   M	background			BCO-DMO	bcodmo_dataset_817952

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	Full details for collection and analyses of underway POM samples are provided by Holser et al., 2011 and Go\u00f1i et al., 2019 and Go\u00f1i et al., submitted. Brief summaries are provided below. Samples for this study were collected aboard RV Oceanus using the surface underway scientific system. Aboard the vessel we had access to uncontaminated seawater and collected samples at specific times that allowed us to determine location (latitude and longitude) and seawater characteristics (temperature and salinity) from the ships\u2019 navigation and sensor panels. We used a semi-automated filtration system (SAFS) described by Go\u00f1i et al., (2019) connected to Oceanus surface underway water to collect particulate organic matter samples. Surface underway water was connected to the SAFS through a manual flow-control valve via opaque polyethylene tubing.\u00a0 A fly wheel flow meter was placed in- line and connected to a laptop computer using a data acquisition system to measure and record flows during the filtration stage. A switching valve with 8 ports was placed downstream from the flow meter and controlled by the laptop.\u00a0 Under stand-by conditions, flow was directed to the \u2018waste\u2019 port, which was fitted with unobstructed tubing that drained into one of the ship\u2019s sinks and flowed back to sea.\u00a0 The 8-sample ports were fitted with tubing, quick-turn sockets\u00a0 and in-line stainless steel 13-mm Swinney filter holders.\u00a0 The flow from these filters was directed to the same sink as the \u2018waste\u2019 flow.\u00a0 In each holder, we placed one pre-combusted (400 oC for 3 hours) 13-mm glass fiber filter supported by a stainless steel screen and locked into place with a Teflon o-ring that prevents leakage and results in a filtration area of 78.5 mm2. Once filters were fitted in each of the sample ports, the filtration program was started to collect samples at selected intervals. Once the filtration run was completed, the filter housings were removed from the SAFS, opened, and each individual filter folded into pre-cleaned silver capsules, which were placed into sample trays that were frozen until CN analyses.\u00a0 Each sample was assigned a specific time stamp (start-end of filtration process) that coincided with the ship\u2019s clock and allowed us to retrieve location and oceanographic data for each sample, as well as determine an overall filtration volume, which was used to calculate particulate nitrogen and carbon concentrations once their contents were determined.\u00a0 During normal operations, we stacked two filter holders at specific positions in order to collect both particles from a sample using the first filter as well as measure blanks associated with dissolved organic matter sorption as filtered water goes through the second filter. Carbon and nitrogen analyses were conducted using high temperature combustion/reduction according to Holser et al., 2011 and Go\u00f1i et al., 2019. Sample and blank filters were exposed to concentrated hydrochloric acid fumes to remove carbonates and run in two CN analyzers (NC2500 Thermoquest and ECS 4010 Costech) using the manufacturers\u2019 recommendations for carbon and nitrogen analyses (e.g., specified temperatures for combustion and reduction furnaces, O2 loops/pressure, and the use of a water trap). In each run of a full auto-sampler, we typically included 6 standards (e.g., cystine, atropine) with different and known amounts of carbon and nitrogen to develop distinct calibration curves for each run. All filters were treated the same and we used the DOM blanks to correct for DOC and DN sorption. Detection limits for OC and N were 0.04 and 0.03 micromoles, respectively. Replicate analyses of selected samples yielded average standard errors for both measurements of ~2% of measured values. References cited: Holser et al., 2011; Go\u00f1i et al., 2019; Go\u00f1i et al., submitted.
attribute	NC_GLOBAL	awards_0_award_nid	String	772629
attribute	NC_GLOBAL	awards_0_award_number	String	OCE-1459480
attribute	NC_GLOBAL	awards_0_data_url	String	http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1459480
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	Underway POM PI: Miguel Goni Data Version 1: 2020-07-08
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	2020-07-07T13:42:53Z
attribute	NC_GLOBAL	date_modified	String	2020-07-24T00:55:12Z
attribute	NC_GLOBAL	defaultDataQuery	String	&time<now
attribute	NC_GLOBAL	doi	String	10.26008/1912/bco-dmo.817952.1
attribute	NC_GLOBAL	Easternmost_Easting	double	-124.00166
attribute	NC_GLOBAL	geospatial_lat_max	double	45.73821
attribute	NC_GLOBAL	geospatial_lat_min	double	43.49702
attribute	NC_GLOBAL	geospatial_lat_units	String	degrees_north
attribute	NC_GLOBAL	geospatial_lon_max	double	-124.00166
attribute	NC_GLOBAL	geospatial_lon_min	double	-125.0027
attribute	NC_GLOBAL	geospatial_lon_units	String	degrees_east
attribute	NC_GLOBAL	infoUrl	String	https://www.bco-dmo.org/dataset/817952
attribute	NC_GLOBAL	institution	String	BCO-DMO
attribute	NC_GLOBAL	instruments_0_acronym	String	WL CSTAR Trans
attribute	NC_GLOBAL	instruments_0_dataset_instrument_description	String	Particle beam attenuation (Cp) was measured by a 25-cm, 650 nm wavelength WET Labs C-Star transmissometer installed inside the ship in line with the flow-through system.
attribute	NC_GLOBAL	instruments_0_dataset_instrument_nid	String	818039
attribute	NC_GLOBAL	instruments_0_description	String	A highly integrated opto-electronic design to provide a low cost, compact solution for underwater measurements of beam transmittance. The instrument is capable of either free space measurements, or through the use of an optical flow tube, flow-through sampling with a pump. It can be used in profiling, moored, or underway applications. more information from Wet Labs
attribute	NC_GLOBAL	instruments_0_instrument_external_identifier	String	https://vocab.nerc.ac.uk/collection/L22/current/TOOL0160/
attribute	NC_GLOBAL	instruments_0_instrument_name	String	Wet Labs CSTAR Transmissometer
attribute	NC_GLOBAL	instruments_0_instrument_nid	String	593
attribute	NC_GLOBAL	instruments_0_supplied_name	String	WET Labs C-Star transmissometer
attribute	NC_GLOBAL	instruments_1_acronym	String	SBE 48
attribute	NC_GLOBAL	instruments_1_dataset_instrument_description	String	Surface water temperature was measured outside  the ship by a hull-mounted (3 m) sensor (SBE 48).
attribute	NC_GLOBAL	instruments_1_dataset_instrument_nid	String	818036
attribute	NC_GLOBAL	instruments_1_description	String	The SBE 48 is a high-accuracy temperature recorder with non-volatile memory, designed for shipboard determination of sea surface temperature. Installed with magnets just below the water line, the SBE 48's temperature sensor is in contact with the inside of the ship's hull. For more information, see the SBE48 Manual.
attribute	NC_GLOBAL	instruments_1_instrument_external_identifier	String	https://vocab.nerc.ac.uk/collection/L05/current/134/
attribute	NC_GLOBAL	instruments_1_instrument_name	String	Sea-Bird SBE 48 Hull Temperature Sensor
attribute	NC_GLOBAL	instruments_1_instrument_nid	String	648
attribute	NC_GLOBAL	instruments_1_supplied_name	String	SBE 48
attribute	NC_GLOBAL	instruments_2_acronym	String	SBE 38
attribute	NC_GLOBAL	instruments_2_dataset_instrument_description	String	Surface water temperature was measured  inside the ship by a flow-through system sensor (SBE 38).
attribute	NC_GLOBAL	instruments_2_dataset_instrument_nid	String	818037
attribute	NC_GLOBAL	instruments_2_description	String	Sea-Bird SBE 38 Remote Digital Immersion Thermometer is a seawater temperature sensor in a 10,500 meter (34,400 ft) titanium pressure housing. Real-time temperature data is transmitted in ASCII characters (degrees C or raw counts) via an RS-232 or optional RS-485 serial interface for display or logging by PC or data logger. The SBE 38's measurement range is -5 to +35 C; absolute accuracy is better than 0.001 C (1 mK) and resolution is approximately 0.00025 C (0.25 mK).
attribute	NC_GLOBAL	instruments_2_instrument_external_identifier	String	https://vocab.nerc.ac.uk/collection/L22/current/TOOL0191/
attribute	NC_GLOBAL	instruments_2_instrument_name	String	Sea-Bird SBE 38 Remote Digital Immersion Thermometer
attribute	NC_GLOBAL	instruments_2_instrument_nid	String	673
attribute	NC_GLOBAL	instruments_2_supplied_name	String	SBE 38
attribute	NC_GLOBAL	instruments_3_acronym	String	SBE 45 MicroTSG
attribute	NC_GLOBAL	instruments_3_dataset_instrument_description	String	Salinity was measured by a SBE 45 thermosalinograph installed inside the ship in line with the flow-through system.
attribute	NC_GLOBAL	instruments_3_dataset_instrument_nid	String	818038
attribute	NC_GLOBAL	instruments_3_description	String	A small externally powered, high-accuracy instrument, designed for shipboard determination of sea surface (pumped-water) conductivity and temperature. It is constructed of plastic and titanium to ensure long life with minimum maintenance. It may optionally be interfaced to an external SBE 38 hull temperature sensor. Sea Bird SBE 45 MicroTSG (Thermosalinograph)
attribute	NC_GLOBAL	instruments_3_instrument_external_identifier	String	https://vocab.nerc.ac.uk/collection/L22/current/TOOL0190/
attribute	NC_GLOBAL	instruments_3_instrument_name	String	Sea-Bird SBE 45 MicroTSG Thermosalinograph
attribute	NC_GLOBAL	instruments_3_instrument_nid	String	528063
attribute	NC_GLOBAL	instruments_3_supplied_name	String	SBE 45 thermosalinograph
attribute	NC_GLOBAL	keywords	String	attenuation, bco, bco-dmo, beam, Beam_attenuation, biological, carbon, chemical, cruise, data, dataset, date, density, dmo, earth, Earth Science > Oceans > Salinity/Density > Salinity, erddap, iso, ISO_DateTime_UTC, latitude, longitude, management, ocean, oceanography, oceans, office, organic, particulate, POC, practical, preliminary, pst, salinity, science, sea, sea_water_practical_salinity, seawater, temperature, time, water
attribute	NC_GLOBAL	keywords_vocabulary	String	GCMD Science Keywords
attribute	NC_GLOBAL	license	String	https://www.bco-dmo.org/dataset/817952/license
attribute	NC_GLOBAL	metadata_source	String	https://www.bco-dmo.org/api/dataset/817952
attribute	NC_GLOBAL	Northernmost_Northing	double	45.73821
attribute	NC_GLOBAL	param_mapping	String	{'817952': {'Latitude': 'flag - latitude', 'Longitude': 'flag - longitude', 'ISO_DateTime_UTC': 'flag - time'}}
attribute	NC_GLOBAL	parameter_source	String	https://www.bco-dmo.org/mapserver/dataset/817952/parameters
attribute	NC_GLOBAL	people_0_affiliation	String	Oregon State University
attribute	NC_GLOBAL	people_0_affiliation_acronym	String	OSU-CEOAS
attribute	NC_GLOBAL	people_0_person_name	String	Miguel A. Goni
attribute	NC_GLOBAL	people_0_person_nid	String	772632
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	Angelicque E. White
attribute	NC_GLOBAL	people_1_person_nid	String	51091
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	Oregon State University
attribute	NC_GLOBAL	people_2_affiliation_acronym	String	OSU-CEOAS
attribute	NC_GLOBAL	people_2_person_name	String	Emmanuel Alegria
attribute	NC_GLOBAL	people_2_person_nid	String	819312
attribute	NC_GLOBAL	people_2_role	String	Scientist
attribute	NC_GLOBAL	people_2_role_type	String	originator
attribute	NC_GLOBAL	people_3_affiliation	String	Oregon State University
attribute	NC_GLOBAL	people_3_affiliation_acronym	String	OSU-CEOAS
attribute	NC_GLOBAL	people_3_person_name	String	Elizabeth R. Corvi
attribute	NC_GLOBAL	people_3_person_nid	String	819310
attribute	NC_GLOBAL	people_3_role	String	Scientist
attribute	NC_GLOBAL	people_3_role_type	String	originator
attribute	NC_GLOBAL	people_4_affiliation	String	Oregon State University
attribute	NC_GLOBAL	people_4_affiliation_acronym	String	OSU-CEOAS
attribute	NC_GLOBAL	people_4_person_name	String	Katie Watkins-Brandt
attribute	NC_GLOBAL	people_4_person_nid	String	556130
attribute	NC_GLOBAL	people_4_role	String	Scientist
attribute	NC_GLOBAL	people_4_role_type	String	originator
attribute	NC_GLOBAL	people_5_affiliation	String	Oregon State University
attribute	NC_GLOBAL	people_5_affiliation_acronym	String	OSU-CEOAS
attribute	NC_GLOBAL	people_5_person_name	String	Kylie A. Welch
attribute	NC_GLOBAL	people_5_person_nid	String	819311
attribute	NC_GLOBAL	people_5_role	String	Scientist
attribute	NC_GLOBAL	people_5_role_type	String	originator
attribute	NC_GLOBAL	people_6_affiliation	String	Oregon State University
attribute	NC_GLOBAL	people_6_affiliation_acronym	String	OSU-CEOAS
attribute	NC_GLOBAL	people_6_person_name	String	Miguel A. Goni
attribute	NC_GLOBAL	people_6_person_nid	String	772632
attribute	NC_GLOBAL	people_6_role	String	Contact
attribute	NC_GLOBAL	people_6_role_type	String	related
attribute	NC_GLOBAL	people_7_affiliation	String	Woods Hole Oceanographic Institution
attribute	NC_GLOBAL	people_7_affiliation_acronym	String	WHOI BCO-DMO
attribute	NC_GLOBAL	people_7_person_name	String	Karen Soenen
attribute	NC_GLOBAL	people_7_person_nid	String	748773
attribute	NC_GLOBAL	people_7_role	String	BCO-DMO Data Manager
attribute	NC_GLOBAL	people_7_role_type	String	related
attribute	NC_GLOBAL	project	String	CCAW
attribute	NC_GLOBAL	projects_0_acronym	String	CCAW
attribute	NC_GLOBAL	projects_0_description	String	NSF Award Abstract: As is true for many coastal regions worldwide, the Pacific Northwest margin is characterized by intense seasonal contrasts in conditions controlling carbon flux between the atmosphere, land, and ocean. During the wintertime, rapid and intense flooding of small coastal rivers and the associated inputs of freshwater, nutrients, and organic matter are commonplace in the Pacific Northwest. Impacts of these wintertime terrestrial-ocean transfers by small, flood-prone rivers on the upwelling regions, such as the Pacific Northwest, have been underestimated at both global and regional scales. In order to gain a complete and predictive understanding of carbon cycling in ocean margins, the biogeochemistry of periods of intense terrestrial-ocean transfers needs to be comprehensively studied. This project will evaluate the dynamics of organic matter cycling along an upwelling-dominated margin during the wintertime period of active terrestrial inputs and biological cycling using a combination of shipboard, glider, moored and remote measurements. New developments in ocean observational technologies through the Ocean Observatories Initiative (OOI)* and existing scientific infrastructure along the Oregon coast will be instrumental in achieving this goal. This work will provide research opportunities for undergraduate and graduate students, and outreach will be conducted through the Centers for Ocean Science Education Excellence Pacific Partnership, local coastal community colleges, and interpretative centers such as Oregon State University Hatfield Center, the Umpqua Discovery Center, and Oregon Coast Aquarium in an effort to educate students and the public about the research. Globally, most studies of carbon cycling in eastern boundary regimes have focused on the upwelling phase during the summer months, resulting in a much poorer understanding of non-upwelling periods. As is many coastal upwelling systems, wintertime conditions along the Pacific Northwest margin are characterized by southerly, downwelling-favorable winds and moisture-laden storms that result in seasonal flooding by the numerous small to medium-sized rivers in the region. Elevated discharges by these coastal rivers translate into large inputs of land-derived biogeochemical relevant constituents, including freshwater, dissolved inorganic nutrients, and dissolved and particulate organic matter, which collectively rival or exceed those of the Columbia River. To understand the impact of flood-derived terrestrial inputs on the biogeochemistry of the coastal zone along the Pacific Northwest margin, researchers will conduct a detailed investigation of biogeochemical processes in the water column along the Newport Hydrographic Line off the central Oregon coast during fall/winter conditions. The project includes an intensive field effort that takes advantage of ship-based and autonomous platforms to gain comprehensive wintertime coverage. Among the project outcomes, this effort will lead to a revised paradigm of the biogeochemical drivers of carbon cycling in coastal margins. *The Ocean Observatories Initiative (OOI) is an NSF-funded, networked infrastructure of science-driven sensor systems to measure the physical, chemical, geological and biological variables in the ocean and seafloor. For more information about OOI, please visit the website: www.oceanobservatories.org
attribute	NC_GLOBAL	projects_0_end_date	String	2019-02
attribute	NC_GLOBAL	projects_0_geolocation	String	Oregon Coast (47-43 N, 126-124 W)
attribute	NC_GLOBAL	projects_0_name	String	Coastal Ocean Carbon Cycling during Wintertime Conditions
attribute	NC_GLOBAL	projects_0_project_nid	String	772630
attribute	NC_GLOBAL	projects_0_start_date	String	2015-03
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	43.49702
attribute	NC_GLOBAL	standard_name_vocabulary	String	CF Standard Name Table v55
attribute	NC_GLOBAL	summary	String	Particulate organic matter data set and added temperature and salinity from samples collected using ship\u2019s surface underway system taken on board of the R/V Oceanus OC1701A, OC1611B, OC1603B, OC1602A, OC1601A in the Oregon Coast (47-43 N, 126-124 W) from 2016 to 2017.
attribute	NC_GLOBAL	time_coverage_end	String	2017-01-16T05:15Z
attribute	NC_GLOBAL	time_coverage_start	String	2016-01-23T01:28Z
attribute	NC_GLOBAL	title	String	[Underway POM] - Particulate organic matter data set from samples collected using ship’s surface underway system taken on board of the R/V Oceanus OC1701A, OC1611B, OC1603B, OC1602A, OC1601A in the Oregon Coast (47-43 N, 126-124 W) from 2016 to 2017. (Coastal Ocean Carbon Cycling during Wintertime Conditions)
attribute	NC_GLOBAL	version	String	1
attribute	NC_GLOBAL	Westernmost_Easting	double	-125.0027
attribute	NC_GLOBAL	xml_source	String	osprey2erddap.update_xml() v1.5
variable	Cruise		String
attribute	Cruise	bcodmo_name	String	cruise_id
attribute	Cruise	description	String	Cruise designation
attribute	Cruise	long_name	String	Cruise
attribute	Cruise	units	String	unitless
variable	latitude		double
attribute	latitude	_CoordinateAxisType	String	Lat
attribute	latitude	_FillValue	double	NaN
attribute	latitude	actual_range	double	43.49702, 45.73821
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 measured by ship’s navigation system for sample/data collection, southern hemisphere is negative
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	-125.0027, -124.00166
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 as measured by ship’s navigation system for sample/data collection, western hemisphere is negative
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
variable	Date_Time_PST		String
attribute	Date_Time_PST	bcodmo_name	String	date_local
attribute	Date_Time_PST	description	String	Date and time of sample and data collection (pacific standard time)
attribute	Date_Time_PST	long_name	String	Date Time PST
attribute	Date_Time_PST	source_name	String	Date_Time_PST
attribute	Date_Time_PST	time_precision	String	1970-01-01T00:00Z
attribute	Date_Time_PST	units	String	unitless
variable	Temperature		float
attribute	Temperature	_FillValue	float	NaN
attribute	Temperature	actual_range	float	8.42, 13.05
attribute	Temperature	bcodmo_name	String	temperature
attribute	Temperature	description	String	Temperature in degrees Celsius measured at seachest in ship’s underway system at the time of sample collection
attribute	Temperature	long_name	String	Temperature
attribute	Temperature	units	String	degrees Celsius (°C)
variable	Salinity		float
attribute	Salinity	_FillValue	float	NaN
attribute	Salinity	actual_range	float	26.0, 32.69
attribute	Salinity	bcodmo_name	String	sal
attribute	Salinity	colorBarMaximum	double	37.0
attribute	Salinity	colorBarMinimum	double	32.0
attribute	Salinity	description	String	Salinity measured by TSG lab unit in ship’s underway system at the time of sample collection
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	unitless
variable	PN		float
attribute	PN	_FillValue	float	NaN
attribute	PN	actual_range	float	0.09, 7.88
attribute	PN	bcodmo_name	String	PON
attribute	PN	description	String	Particulate Nitrogen concentrations measured in filtered samples collected from ship’s undereway system using a semi-automated filtration system. Concentrations have been blank corrected.
attribute	PN	long_name	String	PN
attribute	PN	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P01/current/MDMAP013/
attribute	PN	units	String	micromoles N per liter of water (um/L)
variable	POC		float
attribute	POC	_FillValue	float	NaN
attribute	POC	actual_range	float	0.8, 49.25
attribute	POC	bcodmo_name	String	POC
attribute	POC	description	String	Particulate Organic Carbon concentrations measured in filtered samples collected from ship’s undereway system using a semi-automated filtration system. Concentrations have been blank corrected.
attribute	POC	long_name	String	Particulate Organic Carbon
attribute	POC	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P01/current/CORGCAP1/
attribute	POC	units	String	micromoles C per liter of water (um/L)
variable	Beam_attenuation		float
attribute	Beam_attenuation	_FillValue	float	NaN
attribute	Beam_attenuation	actual_range	float	0.08, 3.84
attribute	Beam_attenuation	bcodmo_name	String	beam_cp
attribute	Beam_attenuation	description	String	Corrected beam attenuation values measured at the time of sample collection by Oceanus Wetlabs C-STAR transmissometer installed inline the ship’s underway system. Corrected values for beam attenuation were determined using the approach described in Goñi et al., submitted, Goñi et al., 2019 and Holser et al., 2011.
attribute	Beam_attenuation	long_name	String	Beam Attenuation
attribute	Beam_attenuation	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P01/current/ATTNZZ01/
attribute	Beam_attenuation	units	String	1/m
variable	time		double
attribute	time	_CoordinateAxisType	String	Time
attribute	time	actual_range	double	1.45351248E9, 1.4845437E9
attribute	time	axis	String	T
attribute	time	bcodmo_name	String	ISO_DateTime_UTC
attribute	time	description	String	Date and time of sample and data collection in UTC, standard ISO format (yyyy-mm-ddThh:mmZ)
attribute	time	ioos_category	String	Time
attribute	time	long_name	String	ISO Date Time UTC
attribute	time	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P01/current/DTUT8601/
attribute	time	standard_name	String	time
attribute	time	time_origin	String	01-JAN-1970 00:00:00
attribute	time	time_precision	String	1970-01-01T00:00Z
attribute	time	units	String	seconds since 1970-01-01T00:00:00Z

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.