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Dataset Title:  Discrete bottle sample measurements for carbonate chemistry from samples
collected in the Sage Lot Pond salt marsh tidal creek in Waquoit Bay, MA from
2012 to 2015
Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_768577)
Range: time = 2012-04-09T13:04:00Z to 2015-12-16T19:32:00Z
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Data Access Form | Files
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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.33397664e+9, 1.45029432e+9;
    String axis "T";
    String description "Date and time (UTC) formatted to ISO 8601 standard. Format: yyyy-mm-ddTHH:MM:SS";
    String ioos_category "Time";
    String long_name "ISO Date Time UTC";
    String source_name "ISO_DateTime_UTC";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  DIC {
    Float32 _FillValue NaN;
    Float32 actual_range 1366.85, 2548.9;
    String description "Dissolved inorganic carbon (DIC)";
    String ioos_category "Unknown";
    String long_name "DIC";
    String units "micromoles per kilogram (umol kg-1)";
  TA {
    Float32 _FillValue NaN;
    Float32 actual_range 1330.34, 2279.87;
    String description "Total alkalinity";
    String ioos_category "Unknown";
    String long_name "TA";
    String units "micromoles per kilogram (umol kg-1)";
    Float32 _FillValue NaN;
    Float32 actual_range 4.41, 29.54;
    String description "Water temperature";
    String ioos_category "Temperature";
    String long_name "TEMPERATURE";
    String units "degrees Celsius";
    Float32 _FillValue NaN;
    Float32 actual_range 8.84, 31.96;
    Float64 colorBarMaximum 37.0;
    Float64 colorBarMinimum 32.0;
    String description "Water salinity";
    String ioos_category "Salinity";
    String long_name "Sea Water Practical Salinity";
    String units "practical salinity scale";
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv";
    String acquisition_description 
"Samples were collected from the Sage Lot Pond salt marsh tidal creek in
Waquoit Bay, MA at approx. 41.5546N, 70.5071W.
Discrete bottle samples were collected at ~30 cm above the bottom of the tidal
creek every 1-2 h at the sampling site using a peristaltic or diaphragm pump
for periods of a full tidal cycle (~12\\u201314 h). DIC collection and analysis
followed standard best practice procedures outlined by Dickson et al. (2007).
Samples were collected through purgeable capsule filters with 0.45 \\u03bcm
pore size (Farrwest Environmental Supply, Texas, USA) into 250 mL borosilicate
bottles, poisoned with 100 uL saturated mercuric chloride, sealed with a glass
stopper coated with APIEZON\\u00ae \\u2013 L grease, and se- cured with a rubber
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 CO2 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 ~ \\u00b12.0 \\u03bcmol kg-1.
TA was measured with an Apollo SciTech alkalinity auto-titrator (Model AS-
ALK2), 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 instrument was about \\u00b1 2.0 \\u03bcmol
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
    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 "Dr Henrietta N Edmonds";
    String awards_0_program_manager_nid "51517";
    String cdm_data_type "Other";
    String comment 
"Salt marsh carbonate chemistry 
   from discrete bottle samples 
  PI: Zhaohui Aleck Wang (WHOI) 
  Co-PIs: Kevin Kroeger & Meagan Gonneea (USGS) 
  Version date: 23-May-2019";
    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 2.2d  13 Jun 2019";
    String date_created "2019-05-24T17:09:22Z";
    String date_modified "2019-05-29T15:34:32Z";
    String defaultDataQuery "&time";
    String doi "10.1575/1912/bco-dmo.768577.1";
    String history 
"2020-01-17T18:57:25Z (local files)
2020-01-17T18:57:25Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_768577.das";
    String infoUrl "https://www.bco-dmo.org/dataset/768577";
    String institution "BCO-DMO";
    String instruments_0_acronym "LI-COR LI-7000";
    String instruments_0_dataset_instrument_nid "768593";
    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 "Benchtop pH Meter";
    String instruments_1_dataset_instrument_nid "768594";
    String instruments_1_description 
"An instrument consisting of an electronic voltmeter and pH-responsive electrode that gives a direct conversion of voltage differences to differences of pH at the measurement temperature.  (McGraw-Hill Dictionary of Scientific and Technical Terms) 
This instrument does not map to the NERC instrument vocabulary term for 'pH Sensor' which measures values in the water column.  Benchtop models are typically employed for stationary lab applications.";
    String instruments_1_instrument_name "Benchtop pH Meter";
    String instruments_1_instrument_nid "681";
    String instruments_1_supplied_name "ORION 3 Star pH meter";
    String instruments_2_acronym "Automatic titrator";
    String instruments_2_dataset_instrument_nid "768588";
    String instruments_2_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_2_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB12/";
    String instruments_2_instrument_name "Automatic titrator";
    String instruments_2_instrument_nid "682";
    String instruments_2_supplied_name "Apollo SciTech alkalinity auto-titrator (Model AS-ALK2)";
    String instruments_3_dataset_instrument_nid "768589";
    String instruments_3_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_3_instrument_name "Pump";
    String instruments_3_instrument_nid "726";
    String instruments_3_supplied_name "peristaltic or diaphragm pump";
    String instruments_4_acronym "Apollo SciTech AS-C3";
    String instruments_4_dataset_instrument_nid "768592";
    String instruments_4_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_4_instrument_name "Apollo SciTech AS-C3 Dissolved Inorganic Carbon (DIC) analyser";
    String instruments_4_instrument_nid "768590";
    String instruments_4_supplied_name "Apollo SciTech DIC auto-analyzer (Model AS-C3)";
    String instruments_5_acronym "YSI EXO";
    String instruments_5_dataset_instrument_nid "768597";
    String instruments_5_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_5_instrument_name "YSI EXO multiparameter water quality sondes";
    String instruments_5_instrument_nid "768595";
    String instruments_5_supplied_name "EXO2 Multiparameter Sonde (YSI Inc., Yellow Springs, OH)";
    String keywords "bco, bco-dmo, biological, chemical, data, dataset, date, density, dic, 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";
    String keywords_vocabulary "GCMD Science Keywords";
    String license 
"The data may be used and redistributed for free but is not intended
for legal use, since it may contain inaccuracies. Neither the data
Contributor, ERD, NOAA, nor the United States Government, nor any
of their employees or contractors, makes any warranty, express or
implied, including warranties of merchantability and fitness for a
particular purpose, or assumes any legal liability for the accuracy,
completeness, or usefulness, of this information.";
    String metadata_source "https://www.bco-dmo.org/api/dataset/768577";
    String param_mapping "{'768577': {'ISO_DateTime_UTC': 'master - time'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/768577/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 BCO-DMO";
    String people_3_person_name "Shannon Rauch";
    String people_3_person_nid "51498";
    String people_3_role "BCO-DMO Data Manager";
    String people_3_role_type "related";
    String project "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_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 "Shannon Rauch";
    String publisher_role "BCO-DMO Data Manager(s)";
    String sourceUrl "(local files)";
    String standard_name_vocabulary "CF Standard Name Table v29";
    String summary "Discrete bottle sample measurements for carbonate chemistry from samples collected in the Sage Lot Pond salt marsh tidal creek in Waquoit Bay, MA from 2012 to 2015.";
    String time_coverage_end "2015-12-16T19:32:00Z";
    String time_coverage_start "2012-04-09T13:04:00Z";
    String title "Discrete bottle sample measurements for carbonate chemistry from samples collected in the Sage Lot Pond salt marsh tidal creek in Waquoit Bay, MA from 2012 to 2015";
    String version "1";
    String xml_source "osprey2erddap.update_xml() v1.5-beta";


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.

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