ERDDAP > info > bcodmo_dataset_768607

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	[Salt marsh continuous DIC] - Sensor measurements for dissolved inorganic carbon from the Sage Lot Pond salt marsh tidal creek in Waquoit Bay, MA from July to December 2015 (Collaborative Research: The Paradox of Salt Marshes as a Source of Alkalinity and Low pH, High Carbon Dioxide Water to the Ocean: A First In-depth Study of A Diminishing Source)		I   M	background			BCO-DMO	bcodmo_dataset_768607

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	Samples were collected from the Sage Lot Pond salt marsh tidal creek in Waquoit Bay, MA at approx. 41.5546N, 70.5071W. In situ, high-frequency sensors for DIC and salinity were deployed at the mouth of the tidal creek in Sage Lot Pond at the latitude and longitude listed in the location above. DIC was measured with an autonomous sensor called CHANnelized Optical Sensor (CHANOS). An EXO2 Multiparameter Sonde (YSI Inc., Yellow Springs, OH) was submerged in the tidal creek to measure temperature and salinity. The YSI EXO2 recorded at intervals ranging from 2 min to 8 min. Reported YSI EXO2 sensor accuracy specifications are: 1% of the reading for salinity and 0.05 \u00b0C for temperature. CHANOS was placed on a platform atop the marsh adjacent to the creek with the inlet pumping from the creek at the same depth and within 30 cm of the EXO2 Sonde. This setup avoided any interference by CHANOS on water flow in the creek. There is no significant concentration difference with depth in the creek (data not shown). In order to prevent fouling, sample water was filtered by a 100\u03bcm plastic disc filter (Keller Products, Acton, MA) followed by a copper mesh filter. CHANOS was powered by two 12 V batteries that were charged with two 250W solar panels (Renogy, Ontario, CA). CHANOS uses spectrophotometric principles to measure DIC and pH using two independent channels (Wang et al., 2015). Briefly, CHANOS consisted of syringe pumps for delivery of reagents, junction boxes containing valves, thermistors, and optical and fluidic components for DIC and pH analysis, and an electronics housing, as well as reagent bags for storage of CRM, hydrochloric acid, reference solution, and pH- sensitive indicator solution. For this study, only [DIC] measurements were used. The DIC channel uses an improved spectrophotometric method described in detail in Wang et al. (2013) whereby a countercurrent flow configuration between acidified seawater and a pH- sensitive indicator solution in a tube-in-tube design achieves fast, continuous CO2 equilibration across highly CO2-permeable Teflon AF 2400 tubing. After CO2 exchange in the countercurrent flow cell, the indicator solution is directed into an optical cell for detection. Each measurement cycle is ~15min. The system achieved a precision of ~ \u00b1 2.5 \u03bcmol kg-1 and an accuracy of ~ \u00b1 5.0 \u03bcmol kg-1 during coastal deployments (Wang et al., 2015).
attribute	NC_GLOBAL	awards_0_award_nid	String	765031
attribute	NC_GLOBAL	awards_0_award_number	String	OCE-1459521
attribute	NC_GLOBAL	awards_0_data_url	String	http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1459521
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	Salt marsh continuous DIC measured by CHANnelized Optical Sensor (CHANOS) PI: Zhaohui Aleck Wang (WHOI) Co-PIs: Kevin Kroeger & Meagan Gonneea (USGS) Version date: 23-May-2019
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	2019-05-24T19:54:34Z
attribute	NC_GLOBAL	date_modified	String	2019-05-29T15:35:39Z
attribute	NC_GLOBAL	defaultDataQuery	String	&time<now
attribute	NC_GLOBAL	doi	String	10.1575/1912/bco-dmo.768607.1
attribute	NC_GLOBAL	infoUrl	String	https://www.bco-dmo.org/dataset/768607
attribute	NC_GLOBAL	institution	String	BCO-DMO
attribute	NC_GLOBAL	instruments_0_acronym	String	YSI EXO
attribute	NC_GLOBAL	instruments_0_dataset_instrument_nid	String	768617
attribute	NC_GLOBAL	instruments_0_description	String	Comprehensive multi-parameter, water-quality monitoring sondes designed for long-term monitoring, profiling and spot sampling. The EXO sondes are split into several categories: EXO1 Sonde, EXO2 Sonde, EXO3 Sonde. Each category has a slightly different design purpose with the the EXO2 and EXO3 containing more sensor ports than the EXO1. Data are collected using up to four user-replaceable sensors and an integral pressure transducer. Users communicate with the sonde via a field cable to an EXO Handheld, via Bluetooth wireless connection to a PC, or a USB connection to a PC. Typical parameter specifications for relevant sensors include dissolved oxygen with ranges of 0-50 mg/l, with a resolution of +/- 0.1 mg/l, an accuracy of 1 percent of reading for values between 0-20 mg/l and an accuracy of +/- 5 percent of reading for values 20-50 mg/l. Temp ranges are from-5 to +50 degC, with an accuracy of +/- 0.001 degC. Conductivity has a range of 0-200 mS/cm, with an accuracy of +/-0.5 percent of reading + 0.001 mS/cm and a resolution of 0.0001 - 0.01 mS/cm.
attribute	NC_GLOBAL	instruments_0_instrument_name	String	YSI EXO multiparameter water quality sondes
attribute	NC_GLOBAL	instruments_0_instrument_nid	String	768595
attribute	NC_GLOBAL	instruments_0_supplied_name	String	EXO2 Multiparameter Sonde (YSI Inc., Yellow Springs, OH)
attribute	NC_GLOBAL	instruments_1_acronym	String	CHANOS
attribute	NC_GLOBAL	instruments_1_dataset_instrument_nid	String	768619
attribute	NC_GLOBAL	instruments_1_description	String	CHANOS uses spectrophotometric principles to measure DIC and pH using two independent channels (Wang et al., 2015). Briefly, CHANOS consisted of syringe pumps for delivery of reagents, junction boxes containing valves, thermistors, and optical and fluidic components for DIC and pH analysis, and an electronics housing, as well as reagent bags for storage of CRM, hydrochloric acid, reference solution, and pH- sensitive indicator solution.  Refer to Wang et al. (2015) doi: 10.1021/es504893n
attribute	NC_GLOBAL	instruments_1_instrument_name	String	CHANnelized Optical Sensor
attribute	NC_GLOBAL	instruments_1_instrument_nid	String	768618
attribute	NC_GLOBAL	instruments_1_supplied_name	String	CHANnelized Optical Sensor
attribute	NC_GLOBAL	keywords	String	bco, bco-dmo, biological, chanosdic, chemical, data, dataset, date, density, dmo, earth, Earth Science > Oceans > Salinity/Density > Salinity, erddap, iso, management, ocean, oceanography, oceans, office, practical, preliminary, 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/768607/license
attribute	NC_GLOBAL	metadata_source	String	https://www.bco-dmo.org/api/dataset/768607
attribute	NC_GLOBAL	param_mapping	String	{'768607': {'ISO_DateTime_UTC': 'flag - time'}}
attribute	NC_GLOBAL	parameter_source	String	https://www.bco-dmo.org/mapserver/dataset/768607/parameters
attribute	NC_GLOBAL	people_0_affiliation	String	Woods Hole Oceanographic Institution
attribute	NC_GLOBAL	people_0_affiliation_acronym	String	WHOI
attribute	NC_GLOBAL	people_0_person_name	String	Zhaohui Aleck Wang
attribute	NC_GLOBAL	people_0_person_nid	String	51347
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	United States Geological Survey
attribute	NC_GLOBAL	people_1_affiliation_acronym	String	USGS
attribute	NC_GLOBAL	people_1_person_name	String	Meagan Gonneea
attribute	NC_GLOBAL	people_1_person_nid	String	768545
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	United States Geological Survey
attribute	NC_GLOBAL	people_2_affiliation_acronym	String	USGS
attribute	NC_GLOBAL	people_2_person_name	String	Kevin Kroeger
attribute	NC_GLOBAL	people_2_person_nid	String	768544
attribute	NC_GLOBAL	people_2_role	String	Co-Principal Investigator
attribute	NC_GLOBAL	people_2_role_type	String	originator
attribute	NC_GLOBAL	people_3_affiliation	String	Woods Hole Oceanographic Institution
attribute	NC_GLOBAL	people_3_affiliation_acronym	String	WHOI BCO-DMO
attribute	NC_GLOBAL	people_3_person_name	String	Shannon Rauch
attribute	NC_GLOBAL	people_3_person_nid	String	51498
attribute	NC_GLOBAL	people_3_role	String	BCO-DMO Data Manager
attribute	NC_GLOBAL	people_3_role_type	String	related
attribute	NC_GLOBAL	project	String	Salt Marsh Paradox
attribute	NC_GLOBAL	projects_0_acronym	String	Salt Marsh Paradox
attribute	NC_GLOBAL	projects_0_description	String	NSF Award Abstract: Carbon production in vegetated coastal systems such as marshes is among the highest in the biosphere. Resolving carbon production from marshes and assessing their impacts on coastal carbon cycling are critical to determining the long-term impacts of global change such as ocean acidification and eutrophication. In this project, researchers will use new methods to improve the assessment of carbon production from salt marshes. The overarching goals are to understand the role of coastal wetlands in altering carbonate chemistry, alkalinity, and carbon budgets of the coastal ocean, as well as their capacity to buffer against anthropogenically driven chemical changes, such as ocean acidification. This project will involve training for undergraduate, graduate, and postdoctoral researchers, and will provide educational opportunities for students from a local Native American tribe. Tidal water, after exchange with intertidal salt marshes, contains higher total alkalinity (TA), higher carbon dioxide, but lower pH. These highly productive, vegetated wetlands are deemed to export both alkalinity and dissolved inorganic carbon (DIC) to the ocean. This creates an apppartent paradox in that salt marshes are both an acidifying and alkalizing source to the ocean. Limited studies suggest that marsh DIC and alkalinity export fluxes may be a significant player in regional and global carbon budgets, but the current estimates are still far too uncertain to be conclusive. Unfortunately, tidal marsh ecosystems have dramatically diminished in the recent past, and are likely to diminish further due to sea level rise, land development, eutrophication, and other anthropogenic pressures. To assess the potential impacts of this future change, it is imperative to understand its current status and accurately evaluate its significatce to other parts of the carbon cycle. Similarly, little is know about the distinct sources of DIC and alkalinity being exported from marshes via tidal exchange, although aerobic and various anaerobic respiration processes have been indicated. In this study, researchers will undertake an in-depth study using new methods to vastly improve export fluxes from intertidal salt marshes through tidal exchange over minutes to annual scales, characterize and evaluate the compostiion (carbonate versus non-carbonate alkalinity) of marsh exported TA, the role and significance of the DOC pool in altering carbonate chemistry and export fluxes, identify sources of DIC being exported in tidal water, and investigate how marsh export of TA and DIC impacts carbonate chemistry and the carbon and alkalinity budgets in coastal waters.
attribute	NC_GLOBAL	projects_0_end_date	String	2019-02
attribute	NC_GLOBAL	projects_0_geolocation	String	Sage Lot Pond salt marsh tidal creek in Waquoit Bay, MA at approx. 41.5546N, -70.5071W
attribute	NC_GLOBAL	projects_0_name	String	Collaborative Research: The Paradox of Salt Marshes as a Source of Alkalinity and Low pH, High Carbon Dioxide Water to the Ocean: A First In-depth Study of A Diminishing Source
attribute	NC_GLOBAL	projects_0_project_nid	String	765032
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	standard_name_vocabulary	String	CF Standard Name Table v55
attribute	NC_GLOBAL	summary	String	Sensor measurements for dissolved inorganic carbon from the Sage Lot Pond salt marsh tidal creek in Waquoit Bay, MA from July to December 2015. DIC was measured with an autonomous sensor called CHANnelized Optical Sensor (CHANOS).
attribute	NC_GLOBAL	time_coverage_end	String	2015-12-18T15:15:00Z
attribute	NC_GLOBAL	time_coverage_start	String	2015-07-07T20:15:00Z
attribute	NC_GLOBAL	title	String	[Salt marsh continuous DIC] - Sensor measurements for dissolved inorganic carbon from the Sage Lot Pond salt marsh tidal creek in Waquoit Bay, MA from July to December 2015 (Collaborative Research: The Paradox of Salt Marshes as a Source of Alkalinity and Low pH, High Carbon Dioxide Water to the Ocean: A First In-depth Study of A Diminishing Source)
attribute	NC_GLOBAL	version	String	1
attribute	NC_GLOBAL	xml_source	String	osprey2erddap.update_xml() v1.3
variable	time		double
attribute	time	_CoordinateAxisType	String	Time
attribute	time	actual_range	double	1.4363001E9, 1.4504517E9
attribute	time	axis	String	T
attribute	time	bcodmo_name	String	date
attribute	time	description	String	Date and time (UTC) formatted to ISO8601 standard. Format: yyyy-mm-ddTHH:MM
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/ADATAA01/
attribute	time	source_name	String	ISO_DateTime_UTC
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	4.85, 30.61
attribute	TEMPERATURE	bcodmo_name	String	temperature
attribute	TEMPERATURE	description	String	Water 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	SALINITY		float
attribute	SALINITY	_FillValue	float	NaN
attribute	SALINITY	actual_range	float	14.47, 32.65
attribute	SALINITY	bcodmo_name	String	sal
attribute	SALINITY	colorBarMaximum	double	37.0
attribute	SALINITY	colorBarMinimum	double	32.0
attribute	SALINITY	description	String	Water 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	practical salinity scale
variable	CHANOSDIC		float
attribute	CHANOSDIC	_FillValue	float	NaN
attribute	CHANOSDIC	actual_range	float	1246.12, 2482.21
attribute	CHANOSDIC	bcodmo_name	String	DIC
attribute	CHANOSDIC	description	String	Dissolved inorganic carbon
attribute	CHANOSDIC	long_name	String	CHANOSDIC
attribute	CHANOSDIC	units	String	micromoles per kilogram (umol/kg)

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.