Accessing BCO-DMO data
log in    
Brought to you by BCO-DMO    

ERDDAP > tabledap > Data Access Form ?

Dataset Title:  Discrete bottle sample measurements for carbonate chemistry, organic
alkalinity and organic carbon from samples collected in Waquoit Bay and
Vineyard Sound, MA in 2016
Subscribe RSS
Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_794163)
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Files | Make a graph
Variable ?   Optional
Constraint #1 ?
Constraint #2 ?
   Minimum ?
   Maximum ?
 sample_descrip (unitless) ?          "Groundwater sample"    "Vineyard Sound coa..."
 latitude (degrees_north) ?          41.5    41.5546
  < slider >
 longitude (degrees_east) ?          -70.5071    -70.4
  < slider >
 DIC (micromoles per kilogram (umol kg-1)) ?          1658    2332
 TA (micromoles per kilogram (umol kg-1)) ?          715    2212
 OrgAlk (micromoles per kilogram (umol kg-1)) ?          16    485
 DOC (micromoles per kilogram (umol kg-1)) ?          85    7459
 pH (unitless) ?          6.48    7.976
 Temp (Temperature, degrees Celsius) ?          5.5    30.1
 Sal (practical salinity scale) ?          0.5    32.2
 Elevation (meters) ?          -1.66    0.64
 time (ISO Date Time UTC, UTC) ?          2016-05-09T12:26:00Z    2018-07-09T17:00:00Z
  < slider >
Server-side Functions ?
 distinct() ?
? ("Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.")

File type: (more info)

(Documentation / Bypass this form ? )
(Please be patient. It may take a while to get the data.)


The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  sample_descrip {
    String bcodmo_name "sample_descrip";
    String description "Sample description";
    String long_name "Sample Descrip";
    String units "unitless";
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 41.5, 41.5546;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "Latitude of sample collection";
    String ioos_category "Location";
    String long_name "Latitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LATX/";
    String standard_name "latitude";
    String units "degrees_north";
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 _FillValue NaN;
    Float64 actual_range -70.5071, -70.4;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "Longitude of sample collection";
    String ioos_category "Location";
    String long_name "Longitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LONX/";
    String standard_name "longitude";
    String units "degrees_east";
  DIC {
    Int16 _FillValue 32767;
    Int16 actual_range 1658, 2332;
    String bcodmo_name "DIC";
    String description "Dissolved inorganic carbon";
    String long_name "DIC";
    String units "micromoles per kilogram (umol kg-1)";
  TA {
    Int16 _FillValue 32767;
    Int16 actual_range 715, 2212;
    String bcodmo_name "TALK";
    String description "Total alkalinity";
    String long_name "TA";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/MDMAP014/";
    String units "micromoles per kilogram (umol kg-1)";
  OrgAlk {
    Int16 _FillValue 32767;
    Int16 actual_range 16, 485;
    String bcodmo_name "unknown";
    String description "Organic alkalinity";
    String long_name "Org Alk";
    String units "micromoles per kilogram (umol kg-1)";
  DOC {
    Int16 _FillValue 32767;
    Int16 actual_range 85, 7459;
    String bcodmo_name "DOC";
    String description "Dissolved organic carbon";
    String long_name "DOC";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/CORGZZZX/";
    String units "micromoles per kilogram (umol kg-1)";
  pH {
    Float32 _FillValue NaN;
    Float32 actual_range 6.48, 7.976;
    String bcodmo_name "pH";
    Float64 colorBarMaximum 9.0;
    Float64 colorBarMinimum 7.0;
    String description "Water pH";
    String long_name "Sea Water Ph Reported On Total Scale";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PHXXZZXX/";
    String units "unitless";
  Temp {
    Float32 _FillValue NaN;
    Float32 actual_range 5.5, 30.1;
    String bcodmo_name "temperature";
    String description "Water temperature";
    String long_name "Temperature";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/";
    String units "degrees Celsius";
  Sal {
    Float32 _FillValue NaN;
    Float32 actual_range 0.5, 32.2;
    String bcodmo_name "sal";
    String description "Water salinity";
    String long_name "Sal";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PSALST01/";
    String units "practical salinity scale";
  Elevation {
    Float32 _FillValue NaN;
    Float32 actual_range -1.66, 0.64;
    String bcodmo_name "sea_elevation";
    String description "Water elevation (North American Vertical Datum of 1988 or NAVD88)";
    String long_name "Elevation";
    String units "meters";
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.46279676e+9, 1.5311556e+9;
    String axis "T";
    String bcodmo_name "ISO_DateTime_UTC";
    String description "Date and time (UTC) in ISO 8601 format: yyyy-mm-ddTHH:MM:SSZ";
    String ioos_category "Time";
    String long_name "ISO Date Time UTC";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/DTUT8601/";
    String source_name "ISO_DateTime_UTC";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String time_precision "1970-01-01T00:00:00Z";
    String units "seconds since 1970-01-01T00:00:00Z";
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson,.odvTxt";
    String acquisition_description 
"Time-series bottle samples were collected from the Sage Lot Pond salt marsh
tidal creek at approx. 41.5546N, 70.5071W. Samples were collected at ~0.2 m
below the surface of tidal creek water every 1-2 h at the sampling site using
a peristaltic or diaphragm pump for periods of a full tidal cycle (~12\\u201314
h).Two coastal water samples were collected from the Woods Hole Oceanographic
Institution Environmental Systems Laboratory intake, located about 1.6 km
offshore in Vineyard Sound. Three goundwater samples were collected at the
edge of Sage Lot Pond salt marsh at the elevation of 0.42 m, 0.75 m, and 1.66
m (NAVD88), corresponding to 0.56 m, 0.89 m, and 1.8 m below the land surface,
The DIC, TA, and pH collection followed standard best practice procedures
outlined by Dickson et al. (2007). OrgAlk sample collection followed the TA
sampling protocol. Samples were collected through purgeable capsule filters
with 0.45 um pore size (Farrwest Environmental Supply, Texas, USA) into 250 mL
borosilicate bottles, poisoned with 100 uL saturated mercuric chloride, sealed
with a HDPE screw top or a glass stopper coated with APIEZON\\u00ae \\u2013 L
grease, and se- cured with a rubber band. Samples for DOC analysis were
filtered through 0.45 um pore size polyethersulfone cartridge filters into
combusted borosilicate glass vials with Teflon-lined silicone septa caps,
acidified to pH < 2 with hydrochloric acid and refrigerated until analysis.
DIC was analyzed using an Apollo SciTech DIC auto-analyzer (Model AS-C3),
which uses a nondispersive infrared (NDIR) method. The sample is acidified
with a 10% phosphoric acid in 10% sodium chloride solution, and CO\\u2082 is
purged with high purity nitrogen gas and measured by a LI-COR 7000 infrared
analyzer (LI-COR Environmental, Nebraska, USA). Certified Reference Material
(CRM) from Dr. A. Dickson at Scripps Institution of Oceanography was used to
calibrate the DIC auto-analyzer at least once daily. In addition, CRM was
measured as a sample every few hours to gauge and correct any potential drift.
The precision and accuracy of the instrument was ~ \\u00b1 2.0 \\u03bcmol
TA was measured with a Ross combination pH electrode and a pH meter (ORION 3
Star) to perform a modified Gran titration (Wang and Cai, 2004). The electrode
and concentration of hydrochloric acid was calibrated every day. The CRMs were
also measured as samples every few hours to correct any potential small drift.
The accuracy and precision of the measurement was about 2.5\\u00b11.9 \\u03bcmol
The pH samples were measured with a UV-visible spectrophotometer (Agilent
8454, Agilent Technologies, USA) at 25 \\u00b1 0.1\\u2103 using purified meta-
cresol purple (mcp) as an indicator. The pH values are reported on the total
proton concentration scale and converted from 25 \\u00b1 0.1\\u2103 to in-situ
temperature using measured DIC and the CO2SYS program (van Heuven et al.,
2011). The mean uncertainty of the pH measurement was \\u00b1 0.006 (range
0.0003 \\u2012 0.017), calculated as the mean difference between duplicate
OrgAlk concentration was determined with a digital syringe pump, a Ross
combination pH electrode and a pH meter (ORION 3 Star), based on the procedure
reported in Cai et al. (1998). OrgAlk sample was titrated with a calibrated
HCl solution (~ 0.1 M) until the sample pH was below 3.0 (first titration).
CO\\u2082 in the sample was then removed by bubbling with high purity N\\u2082
gas (99.999%) for ~ 10 minutes. The acidified sample was then titrated with
0.1 M NaOH solution back to its initial pH (back titration). The NaOH solution
was prepared in DI water bubbled with high purity N\\u2082 gas to prevent
CO\\u2082 dissolution into the solution. Finally, the sample was titrated with
HCl again until its pH was below 3.0 (second titration). OrgAlk was calculated
as the TA from the second titration minus the borate alkalinity. The mean
difference of OrgAlk concentrations between duplicate samples was 2.8 \\u00b1
2.1 \\u00b5mol kg\\u207b\\u00b9. Due to the existence of a small amount of
CO\\u2082 in the NaOH solution, the OrgAlk results were corrected by
subtracting introduced carbonate alkalinity based on the volume of NaOH
solution added during the back titration.
DOC samples were analyzed on an O. I. Analytical Aurora 1030C Autoanalyzer by
high-temperature catalytic oxidation followed by nondispersive infrared
detection (HTCO-NDIR). Concentrations are reported relative to a potassium
hydrogen phthalate (KHP) standard. Hansell deep seawater (University of Miami
Hansell Laboratory, Lot# 01-14), and Suwannee River NOM (IHSS, Lot# 2R101N)
reference materials were analyzed daily as additional checks on precision and
accuracy of the analyses. Standards and reference materials typically vary by
< 5%.
Tidal water samples for practical salinity were analyzed with a Guideline
AutoSal instrument at Woods Hole Oceanographic Institution. A YSI EXO2 Sonde
(YSI Inc., Ohio, USA) was submerged in the tidal creek to measure temperature
and water depth. Groundwater salinity and temperature were measured with a YSI
Pro30 (YSI Inc., Ohio, USA) during collection.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
    String awards_0_award_nid "765031";
    String awards_0_award_number "OCE-1459521";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1459521";
    String awards_0_funder_name "NSF Division of Ocean Sciences";
    String awards_0_funding_acronym "NSF OCE";
    String awards_0_funding_source_nid "355";
    String awards_0_program_manager "Henrietta N Edmonds";
    String awards_0_program_manager_nid "51517";
    String cdm_data_type "Other";
    String comment 
"Salt marsh carbonate and organic carbon chemistry 
   from Waquoit Bay and Vineyard Sound, 2016 
  PI: Zhaohui Aleck Wang (WHOI) 
  Co-PIs: Meagan Gonneea & Kevin Kroeger (USGS) 
  Student: Shuzhen Song (WHOI) 
  Version date: 25-Feb-2020";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_email "info@bco-dmo.org";
    String creator_name "BCO-DMO";
    String creator_type "institution";
    String creator_url "https://www.bco-dmo.org/";
    String data_source "extract_data_as_tsv version 2.3  19 Dec 2019";
    String date_created "2020-02-25T15:20:28Z";
    String date_modified "2020-02-26T15:15:51Z";
    String defaultDataQuery "&amp;time&lt;now";
    String doi "10.1575/1912/bco-dmo.794163.1";
    Float64 Easternmost_Easting -70.4;
    Float64 geospatial_lat_max 41.5546;
    Float64 geospatial_lat_min 41.5;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -70.4;
    Float64 geospatial_lon_min -70.5071;
    String geospatial_lon_units "degrees_east";
    String history 
"2021-10-24T14:37:39Z (local files)
2021-10-24T14:37:39Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_794163.html";
    String infoUrl "https://www.bco-dmo.org/dataset/794163";
    String institution "BCO-DMO";
    String instruments_0_acronym "LI-COR LI-7000";
    String instruments_0_dataset_instrument_nid "794176";
    String instruments_0_description "The LI-7000 CO2/H2O Gas Analyzer is a high performance, dual cell, differential gas analyzer.  It was designed to expand on the capabilities of the LI-6262 CO2/ H2O Gas Analyzer.  A dichroic beam splitter at the end of the optical path provides radiation to two separate detectors, one filtered to detect radiation absorption of CO2 and the other to detect absorption by H2O.  The two separate detectors measure infrared absorption by CO2 and H2O in the same gas stream.  The LI-7000 CO2/ H2O Gas Analyzer is a differential analyzer, in which a known concentration (which can be zero) gas is put in the reference cell, and an unknown gas is put in the sample cell.";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/382/";
    String instruments_0_instrument_name "LI-COR LI-7000 Gas Analyzer";
    String instruments_0_instrument_nid "577";
    String instruments_0_supplied_name "LI-COR 7000 infrared analyzer";
    String instruments_1_acronym "TOC analyzer";
    String instruments_1_dataset_instrument_nid "794179";
    String instruments_1_description "A unit that accurately determines the carbon concentrations of organic compounds typically by detecting and measuring its combustion product (CO2). See description document at: http://bcodata.whoi.edu/LaurentianGreatLakes_Chemistry/bs116.pdf";
    String instruments_1_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB04/";
    String instruments_1_instrument_name "Total Organic Carbon Analyzer";
    String instruments_1_instrument_nid "652";
    String instruments_1_supplied_name "O.I. Analytical Aurora 1030C Autoanalyzer";
    String instruments_2_acronym "pH Sensor";
    String instruments_2_dataset_instrument_nid "794177";
    String instruments_2_description "General term for an instrument that measures the pH or how acidic or basic a solution is.";
    String instruments_2_instrument_name "pH Sensor";
    String instruments_2_instrument_nid "674";
    String instruments_2_supplied_name "ORION 3 Star pH electrode and pH meter";
    String instruments_3_acronym "Automatic titrator";
    String instruments_3_dataset_instrument_nid "794181";
    String instruments_3_description "Instruments that incrementally add quantified aliquots of a reagent to a sample until the end-point of a chemical reaction is reached.";
    String instruments_3_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB12/";
    String instruments_3_instrument_name "Automatic titrator";
    String instruments_3_instrument_nid "682";
    String instruments_4_acronym "Spectrophotometer";
    String instruments_4_dataset_instrument_nid "794178";
    String instruments_4_description "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.";
    String instruments_4_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB20/";
    String instruments_4_instrument_name "Spectrophotometer";
    String instruments_4_instrument_nid "707";
    String instruments_4_supplied_name "Agilent 8454 UV-visible spectrophotometer";
    String instruments_5_dataset_instrument_nid "794174";
    String instruments_5_description "A pump is a device that moves fluids (liquids or gases), or sometimes slurries, by mechanical action. Pumps can be classified into three major groups according to the method they use to move the fluid: direct lift, displacement, and gravity pumps";
    String instruments_5_instrument_name "Pump";
    String instruments_5_instrument_nid "726";
    String instruments_5_supplied_name "Peristaltic or diaphragm pump";
    String instruments_6_acronym "Apollo SciTech AS-C3";
    String instruments_6_dataset_instrument_nid "794175";
    String instruments_6_description "A Dissolved Inorganic Carbon (DIC) analyser, for use in aquatic carbon dioxide parameter analysis of coastal waters, sediment pore-waters, and time-series incubation samples. The analyser consists of a solid state infrared CO2 detector, a mass-flow controller, and a digital pump for transferring accurate amounts of reagent and sample. The analyser uses an electronic cooling system to keep the reactor temperature below 3 degrees Celsius, and a Nagion dry tube to reduce the water vapour and keep the analyser drift-free and maintenance-free for longer. The analyser can handle sample volumes from 0.1 - 1.5 millilitres, however the best results are obtained from sample volumes between 0.5 - 1 millilitres. It takes approximately 3 minutes per analysis, and measurement precision is plus or minus 2 micromoles per kilogram or higher for surface seawater. It is designed for both land based and shipboard laboratory use.";
    String instruments_6_instrument_name "Apollo SciTech AS-C3 Dissolved Inorganic Carbon (DIC) analyser";
    String instruments_6_instrument_nid "768590";
    String instruments_6_supplied_name "Apollo SciTech DIC auto-analyzer (Model AS-C3)";
    String instruments_7_acronym "YSI EXO";
    String instruments_7_dataset_instrument_nid "794180";
    String instruments_7_description "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.";
    String instruments_7_instrument_name "YSI EXO multiparameter water quality sondes";
    String instruments_7_instrument_nid "768595";
    String instruments_7_supplied_name "YSI EXO2 Sonde";
    String keywords "alk, altimetry, bco, bco-dmo, biological, chemical, chemistry, commerce, data, dataset, date, department, descrip, dic, dmo, doc, earth, Earth Science > Oceans > Ocean Chemistry > pH, elevation, erddap, iso, laboratory, latitude, longitude, management, ocean, oceanography, oceans, office, org, OrgAlk, preliminary, reported, sal, sample, sample_descrip, satellite, scale, science, sea, sea_water_ph_reported_on_total_scale, seawater, Temp, temperature, time, total, water";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "https://www.bco-dmo.org/dataset/794163/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/794163";
    Float64 Northernmost_Northing 41.5546;
    String param_mapping "{'794163': {'lat': 'flag - latitude', 'lon': 'flag - longitude', 'ISO_DateTime_UTC': 'flag - time'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/794163/parameters";
    String people_0_affiliation "Woods Hole Oceanographic Institution";
    String people_0_affiliation_acronym "WHOI";
    String people_0_person_name "Zhaohui Aleck Wang";
    String people_0_person_nid "51347";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "United States Geological Survey";
    String people_1_affiliation_acronym "USGS";
    String people_1_person_name "Meagan Gonneea";
    String people_1_person_nid "768545";
    String people_1_role "Co-Principal Investigator";
    String people_1_role_type "originator";
    String people_2_affiliation "United States Geological Survey";
    String people_2_affiliation_acronym "USGS";
    String people_2_person_name "Kevin Kroeger";
    String people_2_person_nid "768544";
    String people_2_role "Co-Principal Investigator";
    String people_2_role_type "originator";
    String people_3_affiliation "Woods Hole Oceanographic Institution";
    String people_3_affiliation_acronym "WHOI";
    String people_3_person_name "Shuzhen Song";
    String people_3_person_nid "794313";
    String people_3_role "Student";
    String people_3_role_type "related";
    String people_4_affiliation "Woods Hole Oceanographic Institution";
    String people_4_affiliation_acronym "WHOI";
    String people_4_person_name "Zhaohui Aleck Wang";
    String people_4_person_nid "51347";
    String people_4_role "Contact";
    String people_4_role_type "related";
    String people_5_affiliation "Woods Hole Oceanographic Institution";
    String people_5_affiliation_acronym "WHOI BCO-DMO";
    String people_5_person_name "Shannon Rauch";
    String people_5_person_nid "51498";
    String people_5_role "BCO-DMO Data Manager";
    String people_5_role_type "related";
    String project "Salt Marsh Paradox";
    String projects_0_acronym "Salt Marsh Paradox";
    String projects_0_description 
"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.";
    String projects_0_end_date "2019-02";
    String projects_0_geolocation "Sage Lot Pond salt marsh tidal creek in Waquoit Bay, MA at approx. 41.5546N, -70.5071W";
    String projects_0_name "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";
    String projects_0_project_nid "765032";
    String projects_0_start_date "2015-03";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 41.5;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "Discrete bottle sample measurements for carbonate chemistry, organic alkalinity and organic carbon from samples collected in Waquoit Bay and Vineyard Sound, MA in 2016.";
    String time_coverage_end "2018-07-09T17:00:00Z";
    String time_coverage_start "2016-05-09T12:26:00Z";
    String title "Discrete bottle sample measurements for carbonate chemistry, organic alkalinity and organic carbon from samples collected in Waquoit Bay and Vineyard Sound, MA in 2016";
    String version "1";
    Float64 Westernmost_Easting -70.5071;
    String xml_source "osprey2erddap.update_xml() v1.3";


Using tabledap to Request Data and Graphs from Tabular Datasets

tabledap lets you request a data subset, a graph, or a map from a tabular dataset (for example, buoy data), via a specially formed URL. tabledap uses the OPeNDAP (external link) Data Access Protocol (DAP) (external link) and its selection constraints (external link).

The URL specifies what you want: the dataset, a description of the graph or the subset of the data, and the file type for the response.

Tabledap request URLs must be in the form
For example,
Thus, the query is often a comma-separated list of desired variable names, followed by a collection of constraints (e.g., variable<value), each preceded by '&' (which is interpreted as "AND").

For details, see the tabledap Documentation.

ERDDAP, Version 2.02
Disclaimers | Privacy Policy | Contact