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Dataset Title:  [SeapHOx Time-series] - Temperature, salinity, oxygen, and pH measured by
SeapHOx sensors at two locations (Gulf coast of Florida near St. Teresa and VA
Eastern Shore near Oyster, VA) and two heights in the water column (20 cm and 1.
1 m) (Toward an Improved Understanding of Blue Carbon: The Role of Seagrasses
in Sequestering CO2)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_743408)
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Subset | Files | Make a graph
 
Variable ?   Optional
Constraint #1 ?
Optional
Constraint #2 ?
   Minimum ?
   or a List of Values ?
   Maximum ?
 
 site (unitless) ?          "FL_Gulf_Coast"    "VA_Eastern_Shore"
 Year (unitless) ?      
   - +  ?
 Month (unitless) ?          5    7
 Day (unitless) ?          10    22
 Hour (unitless) ?          0    23
 Minute (unitless) ?          4    47
 Second (unitless) ?          0.137    50.4992
 Temperature (degrees Celsius) ?          23.2248    33.842
 Salinity (practical salinity units (PSU)) ?          0.047    34.16976
 Oxygen (millilter per liter (mL/L)) ?          2.705    7.7684
 pH_internal (unitless (pH scale)) ?          7.58992    8.556516
 pH_external (unitless (pH scale)) ?          5.59596    8.57892
 Temperature_seafet (degrees Celsius) ?          24.1524    37.6525
 Pump (unitless) ?          1    2
 
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 information)

(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 {
  site {
    String bcodmo_name "site";
    String description "Sampling site name. Samples are collected from two locations: Gulf coast of Florida near St. Teresa (29.907912N, -84.504201E) and VA Eastern Shore near Oyster, VA, (37.261789N, -75.815357E)";
    String long_name "Site";
    String units "unitless";
  }
  Year {
    Int16 _FillValue 32767;
    Int16 actual_range 2017, 2017;
    String bcodmo_name "year";
    String description "4-digit year when data were collected";
    String long_name "Year";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/YEARXXXX/";
    String units "unitless";
  }
  Month {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 5, 7;
    String bcodmo_name "month_local";
    String description "Month when data were collected";
    String long_name "Month";
    String units "unitless";
  }
  Day {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 10, 22;
    String bcodmo_name "day_local";
    String description "Day of month when data were collected";
    String long_name "Day";
    String units "unitless";
  }
  Hour {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 0, 23;
    String bcodmo_name "hour_local";
    String description "Hour portion of the time when data were collected (local time zone)";
    String long_name "Hour";
    String units "unitless";
  }
  Minute {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 4, 47;
    String bcodmo_name "minute_local";
    String description "Minute portion of the time when data were collected (local time zone)";
    String long_name "Minute";
    String units "unitless";
  }
  Second {
    Float32 _FillValue NaN;
    Float32 actual_range 0.137, 50.4992;
    String bcodmo_name "seconds_local";
    String description "Seconds portion of the time when data were collected (local time zone)";
    String long_name "Second";
    String units "unitless";
  }
  Temperature {
    Float32 _FillValue NaN;
    Float32 actual_range 23.2248, 33.842;
    String bcodmo_name "temperature";
    String description "Water temperature measured by Microcat CTDO2 (part of the SeapHOx)";
    String long_name "Temperature";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/";
    String units "degrees Celsius";
  }
  Salinity {
    Float32 _FillValue NaN;
    Float32 actual_range 0.047, 34.16976;
    String bcodmo_name "sal";
    Float64 colorBarMaximum 37.0;
    Float64 colorBarMinimum 32.0;
    String description "Salinity";
    String long_name "Sea Water Practical Salinity";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PSALST01/";
    String units "practical salinity units (PSU)";
  }
  Oxygen {
    Float32 _FillValue NaN;
    Float32 actual_range 2.705, 7.7684;
    String bcodmo_name "dissolved Oxygen";
    String description "Oxygen";
    String long_name "Oxygen";
    String units "millilter per liter (mL/L)";
  }
  pH_internal {
    Float32 _FillValue NaN;
    Float32 actual_range 7.58992, 8.556516;
    String bcodmo_name "pH";
    String description "pH (total; internal reference electrode)";
    String long_name "P H Internal";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PHXXZZXX/";
    String units "unitless (pH scale)";
  }
  pH_external {
    Float32 _FillValue NaN;
    Float32 actual_range 5.59596, 8.57892;
    String bcodmo_name "pH";
    String description "pH (total; external reference electrode)";
    String long_name "P H External";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PHXXZZXX/";
    String units "unitless (pH scale)";
  }
  Temperature_seafet {
    Float32 _FillValue NaN;
    Float32 actual_range 24.1524, 37.6525;
    String bcodmo_name "temperature";
    String description "Temperature measured by SeaFET";
    String long_name "Temperature Seafet";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/";
    String units "degrees Celsius";
  }
  Pump {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 1, 2;
    String bcodmo_name "instrument";
    String description "Pump identifier. Samples were collected from two heights in the water column: 20 cm = pump 1 and 1.1 m = Pump 2";
    String long_name "Pump";
    String units "unitless";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv";
    String acquisition_description 
"Time series data collected by Satlantic SeapHOx. Samples are collected from
two locations (Gulf coast of Florida near St. Teresa (29.907912N,
-84.504201E);\\u00a0VA Eastern Shore near Oyster, VA, (37.261789N, -75.815357E)
and from two\\u00a0heights in the water column:\\u00a020 cm = pump 1 and 1.1 m =
Pump 2.";
    String awards_0_award_nid "648650";
    String awards_0_award_number "OCE-1635403";
    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 "David L. Garrison";
    String awards_0_program_manager_nid "50534";
    String awards_1_award_nid "710233";
    String awards_1_award_number "OCE-1633951";
    String awards_1_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1633951";
    String awards_1_funder_name "NSF Division of Ocean Sciences";
    String awards_1_funding_acronym "NSF OCE";
    String awards_1_funding_source_nid "355";
    String awards_1_program_manager "Michael E. Sieracki";
    String awards_1_program_manager_nid "50446";
    String cdm_data_type "Other";
    String comment 
"Time-series data from multiple instruments at two locations 
  PI: Matthew Long (WHOI) 
  Co-PIs: Richard Zimmerman (ODU) & David Burdige (ODU) 
  Version date: 08 August 2018";
    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 "2018-08-08T16:48:28Z";
    String date_modified "2019-03-15T18:20:35Z";
    String defaultDataQuery "&time<now";
    String doi "10.1575/1912/bco-dmo.743408.1";
    String history 
"2024-12-03T17:28:00Z (local files)
2024-12-03T17:28:00Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_743408.html";
    String infoUrl "https://www.bco-dmo.org/dataset/743408";
    String institution "BCO-DMO";
    String instruments_0_acronym "SeapHOx/SeaFET";
    String instruments_0_dataset_instrument_nid "743453";
    String instruments_0_description 
"The SeapHOx and SeaFET are autonomous sensors originally designed and developed by the Todd Martz Lab at Scripps Institution of Oceanography. The SeaFET was designed to measure pH and temperature. The SeapHOx, designed later, combined the SeaFET with additional integrated sensors for dissolved oxygen and conductivity. Refer to Martz et al. 2010 (doi:10.4319/lom.2010.8.172).

The SeapHOx package is now produced by Sea-Bird Scientific and allows for integrated data collection of pH, temperature, salinity, and oxygen. Refer to Sea-Bird for specific model information.";
    String instruments_0_instrument_name "SeapHOx/SeaFET";
    String instruments_0_instrument_nid "729";
    String instruments_0_supplied_name "Satlantic SeapHOx";
    String keywords "bco, bco-dmo, biological, chemical, data, dataset, day, density, dmo, earth, Earth Science > Oceans > Salinity/Density > Salinity, erddap, external, hour, internal, management, minute, month, O2, ocean, oceanography, oceans, office, oxygen, pH_external, pH_internal, practical, preliminary, pump, salinity, science, sea, sea_water_practical_salinity, seafet, seawater, second, site, temperature, Temperature_seafet, water, year";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "https://www.bco-dmo.org/dataset/743408/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/743408";
    String param_mapping "{'743408': {}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/743408/parameters";
    String people_0_affiliation "Woods Hole Oceanographic Institution";
    String people_0_affiliation_acronym "WHOI";
    String people_0_person_name "Matthew Long";
    String people_0_person_nid "560155";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "Old Dominion University";
    String people_1_affiliation_acronym "ODU";
    String people_1_person_name "David J Burdige";
    String people_1_person_nid "648653";
    String people_1_role "Co-Principal Investigator";
    String people_1_role_type "originator";
    String people_2_affiliation "Old Dominion University";
    String people_2_affiliation_acronym "ODU";
    String people_2_person_name "Richard C. Zimmerman";
    String people_2_person_nid "51308";
    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 "Seagrass Blue Carbon";
    String projects_0_acronym "Seagrass Blue Carbon";
    String projects_0_description 
"NSF abstract:
This research will develop a quantitative understanding of the factors controlling carbon cycling in seagrass meadows that will improve our ability to quantify their potential as blue carbon sinks and predict their future response to climate change, including sea level rise, ocean warming and ocean acidification. This project will advance a new generation of bio-optical-geochemical models and tools (ECHOES) that have the potential to be transform our ability to measure and predict carbon dynamics in shallow water systems.
This study will utilize cutting-edge methods for evaluating oxygen and carbon exchange (Eulerian and eddy covariance techniques) combined with biomass, sedimentary, and water column measurements to develop and test numerical models that can be scaled up to quantify the dynamics of carbon cycling and sequestration in seagrass meadows in temperate and tropical environments of the West Atlantic continental margin that encompass both siliciclastic and carbonate sediments. The comparative analysis across latitudinal and geochemical gradients will address the relative contributions of different species and geochemical processes to better constrain the role of seagrass carbon sequestration to global biogeochemical cycles. Specifically the research will quantify: (i) the relationship between C stocks and standing biomass for different species with different life histories and structural complexity, (ii) the influence of above- and below-ground metabolism on carbon exchange, and (iii) the influence of sediment type (siliciclastic vs. carbonate) on Blue Carbon storage. Seagrass biomass, growth rates, carbon content and isotope composition (above- and below-ground), organic carbon deposition and export will be measured. Sedimentation rates and isotopic composition of PIC, POC, and iron sulfide precipitates, as well as porewater concentrations of dissolved sulfide, CO2, alkalinity and salinity will be determined in order to develop a bio-optical-geochemical model that will predict the impact of seagrass metabolism on sediment geochemical processes that control carbon cycling in shallow waters. Model predictions will be validated against direct measurements of DIC and O2 exchange in seagrass meadows, enabling us to scale-up the density-dependent processes to predict the impacts of seagrass distribution and density on carbon cycling and sequestration across the submarine landscape.
Status, as of 09 June 2016: This project has been recommended for funding by NSF's Division of Ocean Sciences.";
    String projects_0_end_date "2019-07";
    String projects_0_geolocation "Chesapeake Bay, Northern Gulf of Mexico, and Bahamas Banks";
    String projects_0_name "Toward an Improved Understanding of Blue Carbon: The Role of Seagrasses in Sequestering CO2";
    String projects_0_project_nid "648649";
    String projects_0_start_date "2016-08";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    String standard_name_vocabulary "CF Standard Name Table v55";
    String subsetVariables "Year";
    String summary "Temperature, salinity, oxygen, and pH measured by SeapHOx sensors at two locations (Gulf coast of Florida near St. Teresa and VA Eastern Shore near Oyster, VA) and two heights in the water column (20 cm and 1.1 m).";
    String title "[SeapHOx Time-series] - Temperature, salinity, oxygen, and pH measured by SeapHOx sensors at two locations (Gulf coast of Florida near St. Teresa and VA Eastern Shore near Oyster, VA) and two heights in the water column (20 cm and 1.1 m) (Toward an Improved Understanding of Blue Carbon: The Role of Seagrasses in Sequestering CO2)";
    String version "1";
    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
https://coastwatch.pfeg.noaa.gov/erddap/tabledap/datasetID.fileType{?query}
For example,
https://coastwatch.pfeg.noaa.gov/erddap/tabledap/pmelTaoDySst.htmlTable?longitude,latitude,time,station,wmo_platform_code,T_25&time>=2015-05-23T12:00:00Z&time<=2015-05-31T12:00:00Z
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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