ERDDAP > info > bcodmo_dataset_767641

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
	set	data	graph		files	public	YSI data from the Neuse River from 2008-2013		I   M	background			BCO-DMO	bcodmo_dataset_767641

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
attribute	NC_GLOBAL	acquisition_description	String	Bi-weekly water sampling and in situ measurements were performed at fixed sampling stations.\u00a0 In situ measurements were\u00a0performed throughout the water column in 0.5 meter depth increments.\u00a0 Parameters measured include: temperature, salinity, specific conductivity, dissolved oxygen (DO), pH, chlorophyll fluorescence, photosynthetically active radiation (PAR), turbidity, and barometric pressure. Methods Water sampling was conducted bi-weekly. When collection was split over two days, a single date was used based on the upstream or majority stations. Stations were selected to cover the entire length of the Neuse River Estuary from Streets Ferry Bridge (Station 0) to the mouth of the estuary where it flows into Pamlico Sound.\u00a0 When possible, efforts were made to select locations with key stationary features (channel markers, buoys and land markers) to allow easy station identification in the field. Surface water samples were collected by submerging 10 liter high-density polyethylene containers just below the water surface or by filling the containers with surface water collected from bucket casts.\u00a0 Bottom water samples were collected with a horizontal plastic Van Dorn sampler. Starting December 2007, all samples collected with diaphragm pump and a weighted, marked hose. All containers were kept in dark coolers at ambient temperature during transport to the laboratory.\u00a0 All filtration was done within a few hours of collection and when conditions permitted, on board the research vessel. Prior to the 09/13/2000 sampling date, in situ measurements were performed at discrete depths using a Hydrolab Data Sonde 3 equipped with a multiprobe and SVR3 display logger.\u00a0 Beginning on the 09/13/2000 sampling date, in situ measurements were performed at discrete depths on the sunlit side of the research vessel using a Yellow Springs Instruments (YSI Incoporated, Ohio) multiparameter sonde (Model 6600 or 6600 EDS-S Extended Deployment System) equipped with a YSI conductivity/temperature probe (Model 6560), a YSI chlorophyll probe (Model 6025), a YSI pH probe (Model 6561 or 6566), a YSI pulsed dissolved oxygen probe (Model 6562), a self cleaning YSI turbidity probe (Model 6026 or 6136), and beginning on the 07/30/2003 sampling date, a flat Li-Cor sensor (UWQ-PAR 6067).\u00a0 The YSI sonde was coupled to a either a YSI 610 DM datalogger or a YSI 650 MDS Multi-parameter Display System datalogger.\u00a0 In situ measurements were performed at the surface (approximately 0.2 meters) and at the bottom of the water column (approximately 0.5 meters from the sediment layer).\u00a0 These data are included in the worksheet titled \"NRE Dataset.\"\u00a0 In situ measurements were also performed throughout the water column in 0.5 meter depth increments.\u00a0 These data are included in the worksheet titled \"NRE YSI Profiles.\"\u00a0 The data were stored on the datalogger and downloaded to Ecowin software upon return to the laboratory. Distance (in river kilometers) was calculated using ESRI ArcGIS software.\u00a0 Distances were calculated using projected station locations (North Carolina State Plane 1983 meters projection).\u00a0 Distances from station 0 through 30 (upper river stations) were measured along the main channel of the river. Distances from stations 30 to 180 were measured as straight lines between stations
attribute	NC_GLOBAL	awards_0_award_nid	String	762165
attribute	NC_GLOBAL	awards_0_award_number	String	OCE-0825466
attribute	NC_GLOBAL	awards_0_data_url	String	http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=0825466
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	David L. Garrison
attribute	NC_GLOBAL	awards_0_program_manager_nid	String	50534
attribute	NC_GLOBAL	cdm_data_type	String	Other
attribute	NC_GLOBAL	comment	String	YSI data from the Neuse River. PI: Hans Paerl Version: 2019-05-13
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	2019-05-13T19:24:04Z
attribute	NC_GLOBAL	date_modified	String	2019-05-15T16:30:34Z
attribute	NC_GLOBAL	defaultDataQuery	String	&time<now
attribute	NC_GLOBAL	doi	String	10.1575/1912/bco-dmo.767641.1
attribute	NC_GLOBAL	Easternmost_Easting	double	-76.52602
attribute	NC_GLOBAL	geospatial_lat_max	double	35.2106
attribute	NC_GLOBAL	geospatial_lat_min	double	34.94888
attribute	NC_GLOBAL	geospatial_lat_units	String	degrees_north
attribute	NC_GLOBAL	geospatial_lon_max	double	-76.52602
attribute	NC_GLOBAL	geospatial_lon_min	double	-77.1222
attribute	NC_GLOBAL	geospatial_lon_units	String	degrees_east
attribute	NC_GLOBAL	geospatial_vertical_max	double	7.817
attribute	NC_GLOBAL	geospatial_vertical_min	double	0.1
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/767641
attribute	NC_GLOBAL	institution	String	BCO-DMO
attribute	NC_GLOBAL	instruments_0_acronym	String	YSI Sonde 6-Series
attribute	NC_GLOBAL	instruments_0_dataset_instrument_description	String	Beginning on the 09/13/2000 sampling date, in situ measurements were performed at discrete depths on the sunlit side of the research vessel using a Yellow Springs Instruments (YSI Incoporated, Ohio) multiparameter sonde (Model 6600 or 6600 EDS-S Extended Deployment System) equipped with a YSI conductivity/temperature probe (Model 6560), a YSI chlorophyll probe (Model 6025), a YSI pH probe (Model 6561 or 6566), a YSI pulsed dissolved oxygen probe (Model 6562), a self cleaning YSI turbidity probe (Model 6026 or 6136), and beginning on the 07/30/2003 sampling date, a flat Li-Cor sensor (UWQ-PAR 6067).
attribute	NC_GLOBAL	instruments_0_dataset_instrument_nid	String	767648
attribute	NC_GLOBAL	instruments_0_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_0_instrument_external_identifier	String	https://vocab.nerc.ac.uk/collection/L22/current/TOOL0737/
attribute	NC_GLOBAL	instruments_0_instrument_name	String	YSI Sonde 6-Series
attribute	NC_GLOBAL	instruments_0_instrument_nid	String	663
attribute	NC_GLOBAL	instruments_0_supplied_name	String	Yellow Springs Instruments (YSI Incoporated, Ohio) multiparameter sonde (Model 6600 or 6600 EDS-S Extended Deployment System)
attribute	NC_GLOBAL	keywords	String	bar, BarPress, bco, bco-dmo, biological, calc, chemical, chemistry, chlorophyll, concentration, concentration_of_chlorophyll_in_sea_water, cond, data, dataset, date, density, depth, description, dmo, doconc, DOconc_calc, dosat, DOsat_calc, earth, Earth Science > Oceans > Ocean Chemistry > Chlorophyll, Earth Science > Oceans > Ocean Chemistry > pH, Earth Science > Oceans > Salinity/Density > Salinity, erddap, fluorescence, iso, km0, latitude, longitude, management, notes, ocean, oceanography, oceans, odo, office, par1, par2, pardepth, practical, preliminary, press, reported, salinity, scale, science, sea, sea_water_ph_reported_on_total_scale, sea_water_practical_salinity, seawater, SpCond, station, Station_Description, Temp, temperature, time, time2, total, turbidity, water, zlevel1, zlevel2
attribute	NC_GLOBAL	keywords_vocabulary	String	GCMD Science Keywords
attribute	NC_GLOBAL	license	String	https://www.bco-dmo.org/dataset/767641/license
attribute	NC_GLOBAL	metadata_source	String	https://www.bco-dmo.org/api/dataset/767641
attribute	NC_GLOBAL	Northernmost_Northing	double	35.2106
attribute	NC_GLOBAL	param_mapping	String	{'767641': {'Lat': 'flag - latitude', 'Depth': 'flag - depth', 'Lon': 'flag - longitude'}}
attribute	NC_GLOBAL	parameter_source	String	https://www.bco-dmo.org/mapserver/dataset/767641/parameters
attribute	NC_GLOBAL	people_0_affiliation	String	University of North Carolina at Chapel Hill
attribute	NC_GLOBAL	people_0_affiliation_acronym	String	UNC-Chapel Hill
attribute	NC_GLOBAL	people_0_person_name	String	Hans Paerl
attribute	NC_GLOBAL	people_0_person_nid	String	734605
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	climate_phyto_estuaries
attribute	NC_GLOBAL	projects_0_acronym	String	climate_phyto_estuaries
attribute	NC_GLOBAL	projects_0_description	String	NSF Award Abstract: Climatic perturbations by drought-flood cycles, tropical storms, and hurricanes are increasingly important in Mid-Atlantic estuaries, leading to ecosystem-scale responses of the plankton system with significant trophic implications. Recent observations support an emerging paradigm that climate dominates nutrient enrichment in these ecosystems, explaining seasonal and interannual variability of phytoplankton floral composition, biomass (chl-a), and primary production (PP). This project will evaluate this paradigm in the two largest estuaries in the United States, Chesapeake Bay (CB) and Albemarle-Pamlico Sound-Neuse River Estuary (APS-NRE) by quantifying responses to climatic perturbations. This project will: (1) resolve long-term trends of plankton biomass/production from high variability driven by climatic forcing, such as drought-flood cycles that generate significant departures from the norm; (2) quantify the role of episodic wind and precipitation events, such as those associated with frontal passages, tropical storms, and hurricanes, that evoke consequential spikes of biomass/production outside the resolution of traditional methods. The field program will focus on event-scale forcing of phytoplankton dynamics by collecting shipboard, aircraft remote sensing, and satellite (SeaWiFS, MODIS-A) data, analyzing extensive monitoring data for CB and APS-NRE to develop context, and quantifying effects of climatic perturbations on phytoplankton dynamics as departures from long-term averages. The rapid-response sampling will be paired with numerical simulations using coupled hydrodynamic biogeochemical models based on the Regional Ocean Modeling System (ROMS). This combination of observations and modeling will be used to explore mechanistic links and test empirical relationships obtained from field data. Intellectual Merit. Drought-flood cycles, tropical storms, and hurricanes are occurring at increasing severity and frequency, exerting significant pressures on land margin ecosystems. Research and monitoring in these ecosystems has focused singularly on eutrophication for nearly five decades. Recognition of climatic perturbations as the underlying cause of phytoplankton variability represents a significant departure from this singular focus. This project will combine observations and modeling to significantly extend our knowledge of how climate regulates phytoplankton dynamics in estuaries. Progress in calibrating and validating hydrodynamic biogeochemical models with data collected in CB and APS-NRE by this project will lead to predictive capabilities thus far unattained, allowing us to evaluate the paradigm that climatic perturbations regulate phytoplankton dynamics in estuaries. Broader Impacts: Addressing the effects of climatic perturbations on phytoplankton dynamics in estuaries with a combination of data collection, analysis, and mechanistic modeling has societal benefits for scientists and resource managers. Applications in addition to ?basic? science include the consideration of climatic forcing in designing effective nutrient management strategies. Specific impacts include: (1) quantifying the effects of climatic perturbations on planktonic processes for important estuarine-coastal ecosystems; (2) extending empirically-based water quality criteria forward by enabling predictions of floral composition, chl-a, and PP in changing climate conditions; (3) combining observations and mechanistic models to support scenario analysis, allowing us to distinguish long-term trends from variability imposed by climate. This project will offer a graduate course in physical transport processes and plankton productivity that will benefit from this research, support two Ph.D. students, and train undergraduates in NSF REU and minority outreach programs at HPL-UMCES and IMS-UNC. The main products will be peer-reviewed publications and presentations at scientific meetings. The three PIs maintain active web sites that will be used to distribute results and data. NOTE: Dr. Harding was the original Lead PI. Dr. Michael R. Roman was named as substitute PI when Dr. Harding served as a Program Director in the NSF Biological Oceanography Program for two years, and through his move to UCLA thereafter. Dr. Harding is responsible for the data holdings on this project and for coordinating their submittal to BCO-DMO.
attribute	NC_GLOBAL	projects_0_end_date	String	2013-09
attribute	NC_GLOBAL	projects_0_geolocation	String	The two largest estuaries in the United States, Chesapeake Bay (CB) and Albemarle-Pamlico Sound- Neuse River Estuary (APS-NRE).
attribute	NC_GLOBAL	projects_0_name	String	Collaborative Research: Regulation of Phytoplankton Dynamics in Mid-Atlantic Estuaries Subject to Climatic Perturbations
attribute	NC_GLOBAL	projects_0_project_nid	String	491333
attribute	NC_GLOBAL	projects_0_project_website	String	http://paerllab.web.unc.edu/projects/modmon/
attribute	NC_GLOBAL	projects_0_start_date	String	2008-10
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	34.94888
attribute	NC_GLOBAL	standard_name_vocabulary	String	CF Standard Name Table v55
attribute	NC_GLOBAL	subsetVariables	String	DOsat_calc,DOconc_calc
attribute	NC_GLOBAL	summary	String	The Neuse River Estuary Water Quality Dataset is a compilation of the biological, chemical and physical water quality data that was collected along the length of the Neuse River Estuary, NC from March 14, 1985 to February 15, 1989 and from January 24, 1994 to the present. The primary purpose of this dataset was to provide long-term environmental information to supplement experimental, process-based research, including the Atlantic Coast Environmental Indicators Consortium (ACE-INC) project as well as other laboratory studies.
attribute	NC_GLOBAL	title	String	YSI data from the Neuse River from 2008-2013
attribute	NC_GLOBAL	version	String	1
attribute	NC_GLOBAL	Westernmost_Easting	double	-77.1222
attribute	NC_GLOBAL	xml_source	String	osprey2erddap.update_xml() v1.3
variable	Zlevel1		String
attribute	Zlevel1	bcodmo_name	String	unknown
attribute	Zlevel1	description	String	Column used to determine surface or near bottom designation (closest reading to 0.5 m from bottom or last reading)
attribute	Zlevel1	long_name	String	Zlevel1
attribute	Zlevel1	units	String	unitless
variable	Zlevel2		String
attribute	Zlevel2	bcodmo_name	String	unknown
attribute	Zlevel2	description	String	Column used to determine surface or near bottom designation (closest reading to 0.5 m from bottom or last reading)
attribute	Zlevel2	long_name	String	Zlevel2
attribute	Zlevel2	units	String	unitless
variable	Date		String
attribute	Date	bcodmo_name	String	date
attribute	Date	description	String	Date of water sample collection; filtration; and in situ measurements.
attribute	Date	long_name	String	Date
attribute	Date	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/
attribute	Date	time_precision	String	1970-01-01
attribute	Date	units	String	unitless
variable	Station		short
attribute	Station	_FillValue	short	32767
attribute	Station	actual_range	short	0, 180
attribute	Station	bcodmo_name	String	station
attribute	Station	description	String	The name of the fixed sampling station.
attribute	Station	long_name	String	Station
attribute	Station	units	String	unitless
variable	time2		String
attribute	time2	bcodmo_name	String	time
attribute	time2	description	String	Exact time (hours:minutes:seconds) when the in situ measurements were made. This time is an approximate water sampling time.
attribute	time2	long_name	String	Time
attribute	time2	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P01/current/AHMSAA01/
attribute	time2	units	String	unitless
variable	depth		double
attribute	depth	_CoordinateAxisType	String	Height
attribute	depth	_CoordinateZisPositive	String	down
attribute	depth	_FillValue	double	NaN
attribute	depth	actual_range	double	0.1, 7.817
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	Exact depth (meters) where the in situ measurements were made.
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	Temp		float
attribute	Temp	_FillValue	float	NaN
attribute	Temp	actual_range	float	2.04, 33.69
attribute	Temp	bcodmo_name	String	temperature
attribute	Temp	description	String	In situ water temperature
attribute	Temp	long_name	String	Temperature
attribute	Temp	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/
attribute	Temp	units	String	degrees Celsius
variable	SpCond		float
attribute	SpCond	_FillValue	float	NaN
attribute	SpCond	actual_range	float	0.081, 48.08
attribute	SpCond	bcodmo_name	String	conductivity
attribute	SpCond	description	String	In situ specific conductivity
attribute	SpCond	long_name	String	Sp Cond
attribute	SpCond	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P02/current/CNDC/
attribute	SpCond	units	String	milli Siemens per centimeter
variable	Salinity		float
attribute	Salinity	_FillValue	float	NaN
attribute	Salinity	actual_range	float	0.04, 31.23
attribute	Salinity	bcodmo_name	String	sal
attribute	Salinity	colorBarMaximum	double	37.0
attribute	Salinity	colorBarMinimum	double	32.0
attribute	Salinity	description	String	In situ 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
variable	DOsat		float
attribute	DOsat	_FillValue	float	NaN
attribute	DOsat	actual_range	float	0.2, 165.2
attribute	DOsat	bcodmo_name	String	O2sat
attribute	DOsat	description	String	In situ dissolved oxygen saturation
attribute	DOsat	long_name	String	DOsat
attribute	DOsat	units	String	percent
variable	DOconc		float
attribute	DOconc	_FillValue	float	NaN
attribute	DOconc	actual_range	float	0.02, 16.17
attribute	DOconc	bcodmo_name	String	dissolved Oxygen
attribute	DOconc	description	String	In situ dissolved oxygen concentration
attribute	DOconc	long_name	String	DOconc
attribute	DOconc	units	String	milligrams per liter
variable	pH		float
attribute	pH	_FillValue	float	NaN
attribute	pH	actual_range	float	5.83, 9.23
attribute	pH	bcodmo_name	String	pH
attribute	pH	colorBarMaximum	double	9.0
attribute	pH	colorBarMinimum	double	7.0
attribute	pH	description	String	In situ pH.
attribute	pH	long_name	String	Sea Water Ph Reported On Total Scale
attribute	pH	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P01/current/PHXXZZXX/
attribute	pH	units	String	unitless
variable	Turbidity		float
attribute	Turbidity	_FillValue	float	NaN
attribute	Turbidity	actual_range	float	-1.0, 1071.2
attribute	Turbidity	bcodmo_name	String	turbidity
attribute	Turbidity	description	String	In situ turbidity
attribute	Turbidity	long_name	String	Turbidity
attribute	Turbidity	units	String	NTU
variable	Fluorescence		float
attribute	Fluorescence	_FillValue	float	NaN
attribute	Fluorescence	actual_range	float	-0.5, 36.6
attribute	Fluorescence	bcodmo_name	String	fluorescence
attribute	Fluorescence	description	String	In situ chlorophyll fluorescence
attribute	Fluorescence	long_name	String	Fluorescence
attribute	Fluorescence	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P01/current/CPHLPM01/
attribute	Fluorescence	units	String	relative fluorescence units
variable	Chlorophyll		float
attribute	Chlorophyll	_FillValue	float	NaN
attribute	Chlorophyll	actual_range	float	-1.9, 128.3
attribute	Chlorophyll	bcodmo_name	String	chlorophyll a
attribute	Chlorophyll	colorBarMaximum	double	30.0
attribute	Chlorophyll	colorBarMinimum	double	0.03
attribute	Chlorophyll	colorBarScale	String	Log
attribute	Chlorophyll	description	String	In situ chlorophyll concentration from fluorescence
attribute	Chlorophyll	long_name	String	Concentration Of Chlorophyll In Sea Water
attribute	Chlorophyll	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P01/current/CPHLHPP1/
attribute	Chlorophyll	units	String	micrograms per liter
variable	PARdepth		float
attribute	PARdepth	_FillValue	float	NaN
attribute	PARdepth	actual_range	float	-0.06, 7.657
attribute	PARdepth	bcodmo_name	String	depth
attribute	PARdepth	description	String	Depth where PAR measurements were taken
attribute	PARdepth	long_name	String	PARdepth
attribute	PARdepth	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P09/current/DEPH/
attribute	PARdepth	units	String	meters (m)
variable	PAR1		float
attribute	PAR1	_FillValue	float	NaN
attribute	PAR1	actual_range	float	-0.8, 2643.0
attribute	PAR1	bcodmo_name	String	PAR
attribute	PAR1	description	String	Photosynthetically active radiation
attribute	PAR1	long_name	String	PAR1
attribute	PAR1	units	String	Einsteins/m2/s
variable	PAR2		float
attribute	PAR2	_FillValue	float	NaN
attribute	PAR2	actual_range	float	-0.1, 2010.0
attribute	PAR2	bcodmo_name	String	PAR
attribute	PAR2	description	String	Photosynthetically active radiation
attribute	PAR2	long_name	String	PAR2
attribute	PAR2	units	String	Einsteins/m2/s
variable	BarPress		short
attribute	BarPress	_FillValue	short	32767
attribute	BarPress	actual_range	short	753, 780
attribute	BarPress	bcodmo_name	String	press_bar
attribute	BarPress	description	String	Surface barometric pressure
attribute	BarPress	long_name	String	Bar Press
attribute	BarPress	units	String	millimeters of mercury
variable	ODO		String
attribute	ODO	bcodmo_name	String	unknown
attribute	ODO	description	String	Whether optical DO sensor used (Y or N)
attribute	ODO	long_name	String	ODO
attribute	ODO	units	String	unitless
variable	DOsat_calc		String
attribute	DOsat_calc	bcodmo_name	String	unknown
attribute	DOsat_calc	description	String	Whether DO saturation value calculated in spreadsheet (Y or N)
attribute	DOsat_calc	long_name	String	DOsat Calc
attribute	DOsat_calc	units	String	unitless
variable	DOconc_calc		String
attribute	DOconc_calc	bcodmo_name	String	unknown
attribute	DOconc_calc	description	String	Whether DO concentration value calculated in spreadsheet(Y or N)
attribute	DOconc_calc	long_name	String	DOconc Calc
attribute	DOconc_calc	units	String	unitless
variable	Notes		String
attribute	Notes	bcodmo_name	String	unknown
attribute	Notes	description	String	notes
attribute	Notes	long_name	String	Notes
attribute	Notes	units	String	unitless
variable	ISO_DateTime		String
attribute	ISO_DateTime	bcodmo_name	String	DateTime
attribute	ISO_DateTime	description	String	Date and time combined into ISO8601 format
attribute	ISO_DateTime	long_name	String	ISO Date Time
attribute	ISO_DateTime	source_name	String	ISO_DateTime
attribute	ISO_DateTime	time_precision	String	1970-01-01T00:00:00Z
attribute	ISO_DateTime	units	String	unitless
variable	Station_Description		String
attribute	Station_Description	bcodmo_name	String	station
attribute	Station_Description	description	String	The physical location of the sampling station such as at or near a particular river marker; buoy; road or bridge. Lists other names that may also be used to refer to this station.
attribute	Station_Description	long_name	String	Station Description
attribute	Station_Description	units	String	unitless
variable	km0		double
attribute	km0	_FillValue	double	NaN
attribute	km0	actual_range	double	0.0, 72.92813623908513
attribute	km0	bcodmo_name	String	length
attribute	km0	description	String	The distance (in kilometers) of the sampling station from station 0.
attribute	km0	long_name	String	KM0
attribute	km0	units	String	kilometers (km)
variable	latitude		double
attribute	latitude	_CoordinateAxisType	String	Lat
attribute	latitude	_FillValue	double	NaN
attribute	latitude	actual_range	double	34.94888, 35.2106
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	North latitude of station in decimal degrees
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	-77.1222, -76.52602
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	West longitude of station in decimal degrees
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.